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1,900
Association between antimicrobial resistance and biofilm forming ability of Salmonella enterica serotypes from commercial broiler farms in Brazil
1. This study determined the antimicrobial resistance profile and the biofilm-forming ability of Salmonella enterica strains isolated from commercial broiler houses over a three-year period in southern Brazil.2. Of the 720 drag swabs analysed, 37 (5%) tested positive for non-typhoidal Salmonella spp. and S. Heidelberg was the most frequent serovar.3. Among the antimicrobial resistant strains (83.8%; 31/37), resistance was most common to tetracycline, ampicillin and nalidixic acid. Multidrug resistance was found in 65% (24/37) of the isolates, with a large proportion of multidrug resistant S. Heidelberg strains (81%; 13/16).4. In total, 65% (24/37) of the isolates showed the ability to produce biofilm and multiple antimicrobial resistance was negatively correlated with biofilm formation.5. Strains susceptible to all tested antimicrobials tended to form stronger biofilms than multidrug resistant ones. This suggested that Salmonella spp. with less antimicrobial resistance depend more on the protection provided by biofilm to survive in the farm environment.
1,901
Advanced Energy Flow Control Concept of an MMC for Unrestricted Operation as a Multiport Device
An advanced approach of the internal energy flow control of a multiport device based on a modular multilevel converter (MMC) was proposed. Such a multiport device offers various connecting points as ac terminals, the main de terminal as well as the dc terminals of the MMC modules. State-of-the-art multiport concepts have restrictions concerning the flexibility of connecting the available ports. The proposed concept makes an unrestricted energy interchange between all ports possible without affecting the ac grid and the main de terminal. It contains a microscopic and macroscopic view of the entire system and an analytic description in a double synchronous reference frame. This approach allows the identification of degrees of freedom for the internal energy flow control to overcome the mentioned restrictions of state-of-the-art multiport devices. Beyond numerous simulations calculations, the proposed concept has been implemented to a prototype of a multiport device which consists of an MMC with integrated batteries in power electronics laboratory. The approach has been successfully tested and verified with measurement results.
1,902
DSSN: dual shallow Siamese network for fashion image retrieval
Image retrieval is a way to search similar images from a given query image. The method successfully applied to different fashion image retrieval over different garments and footwear. However, research over complex fashion products such as ornaments have not got much momentum due to the complex nature of similarity and unavailability of suitable datasets. In this paper we have proposed a Dual Shallow Siamese Network (DSSN) for the task. The model has two identical Siamese networks and takes the same images as input but in a different representation. One subnetwork takes input as RGB color images and the other as identical segmented images. First, the networks are trained using positive and negative image pairs. Next, the trained model is used to find the difference between gallery and query images. The similarity score of the Siamese networks are then fused using weighted averaging. The method is applied on two public datasets, namely, RingFIR (earring dataset) and UT-Zap50K (footwear dataset). We have compared the retrieval accuracy of our method with other state-of-the-art image retrieval methods. The result shows that our method outperforms state-of-the-art methods. The source code and dataset is available publicly (https://github.com/skarifahmed/DSSN).
1,903
Promoting the Catalytic Ozonation of Toluene by Introducing SO42- into the α-MnO2/ZSM-5 Catalyst to Tune Both Oxygen Vacancies and Acid Sites
Mn-based catalysts hold the promise of practical applications in catalytic ozonation of toluene at room temperature, yet improvement of toluene conversion and COx selectivity remains challenging. Here, an innovative α-MnO2/ZSM-5 catalyst modified with SO42- was successfully prepared, and both characterizations and density functional theory (DFT) calculations showed that SO42- introduction facilitated the formation of oxygen vacancies, Lewis and Brönsted acid sites, and active oxygen species and enhanced the adsorption ability of toluene on α-MnO2/ZSM-5. Characterizations also showed that SO42- introduction made the catalyst possess larger specific surface area, superior reducibility, and stronger surface acidity. As a result, α-MnO2/ZSM-5 with a S/Mn molar ratio of 0.019 exhibited the best toluene conversion and COx selectivity, 87 and 94%, respectively, after the reaction for 8 h at 30 °C under an initial concentration of 5 ppm toluene and 45 ppm ozone, relative humidity of 45%, and space velocity of 32,000 h-1, far superior to those of non-noble catalysts reported to date under comparable reaction conditions. The synergistic role of increased oxygen vacancies and acid sites of α-MnO2/ZSM-5 modified with SO42- resulted in excellent toluene conversion and COx selectivity. The findings represented a critical step toward the rational design and synthesis of highly efficient catalysts for catalytic ozonation of toluene.
1,904
Management of Spontaneous Major Rectus Sheath Hematoma in a COVID-19 Patient: A Case Report and Literature Review
A rectus sheath hematoma, which is mostly encountered due to abdominal traumas or anticoagulant use, can be challenging, and a delayed diagnosis may lead to hypovolemic shock and even death. In this study, we aimed to present the management of a case of rectus sheath hematoma that developed in a patient who was hospitalized and under coronavirus disease 2019 (COVID-19) treatment. A 70-year-old female patient was admitted to the intensive care unit (ICU) due to respiratory failure and developed a sudden onset of tachycardia and hypotension. The patient was then diagnosed with a rectus sheath hematoma and after ensuring hemodynamic stability she was treated with angiographic embolization. Following the treatment, the patient remained hemodynamically stable and a control computed tomography (CT) revealed regression in the hematoma. Rectus sheath hematomas especially accompanied by additional comorbidities or aggressive surgical interventions may result in high mortality rates in the early period. It should also be kept in mind that during the COVID-19 pandemic, which has affected the world in the last two years, rectus sheath hematomas may be the underlying cause of sudden hypotension and abdominal distension, and it should not be forgotten that angiographic embolization performed by experienced interventional radiologists is the mainstay of treatment in cases where hemodynamic stability can't be achieved.
1,905
High-Speed Photonics for Side-by-Side Integration With Billion Transistor Circuits in Unmodified CMOS Processes
The performance of modern computer systems is limited by the input/output bottleneck problem. Key figures such as bandwidth density, energy efficiency, and reach are compared with state-of-the-art solutions. The latest photonic device library for computercom in the 45 nm silicon-on-insulator (SOI) node is reviewed. It is shown that monolithic integration of photonics and electronics in advanced CMOS nodes offers orders-of-magnitude better figures than standard wirelines and silicon photonic devices for datacom.
1,906
Seasonal characteristics of biogenic secondary organic aerosol tracers in a deciduous broadleaf forest in northern Japan
We collected total suspended particulate (TSP) samples from January 2010 to December 2010 at Sapporo deciduous forest to understand the oxidation processes of biogenic volatile organic compounds (BVOCs). The gas chromatography-mass spectrometric technique was applied to determine biogenic secondary organic aerosols (BSOAs) in the TSP samples. We found the predominance of the isoprene SOA (iSOA) tracers (20.6 ng m-3) followed by α/β-pinene SOA (pSOA) tracers (8.25 ng m-3) and β-caryophyllene SOA (cSOA) tracer (1.53 ng m-3) in the forest aerosols. The results showed large isoprene fluxes and relatively high levels of oxidants in the forest atmosphere. The iSOA and pSOA tracers showed a clear seasonal trend with summer and autumn maxima and winter and spring minima. Their seasonal trends were mainly controlled by BVOCs emission from the local broadleaf deciduous forest. Additionally, the regional level of isoprene emissions from the oceanic sources may also be contributed during summertime aerosols. cSOA tracer showed high concentrations in the winter and spring, possibly due to an additional contribution of biomass burning (BB) aerosols from the local or regional BB activities. The biogenic secondary organic carbon (BSOC) was contributed mainly by the oxidation products of isoprene (136 ngC m-3) followed by β-caryophyllene (63.0 ngC m-3) and α/β-pinene (35.9 ngC m-3). The mass concentration ratio (0.92) of pinonic acid + pinic acid and 3-methyl-1,2,3-butanetricarboxylic acid ((PNA + PA)/3-MBTCA) indicates the photochemical transformation of first-generation oxidation products to the higher generation oxidation products. The average ratios of isoprene to α/β-pinene (1.64) and β-caryophyllene (18.6) oxidation products suggested a large difference in the emissions of isoprene and α/β-pinene compared to β-caryophyllene. The cSOA tracers in the forest aerosols are also contributed by BB during the winter and spring. Positive matrix factorization analyses of the BSOA tracers confirmed that organic aerosols of deciduous forests are mostly related to isoprene emissions. This study suggests that isoprene is a more significant precursor for the BSOA than α/β-pinene and β-caryophyllene in a broadleaf deciduous forest.
1,907
Trim69 is a microtubule regulator that acts as a pantropic viral inhibitor
Through a screen that combines functional and evolutionary analyses, we identified tripartite motif protein (Trim69), a poorly studied member of the Trim family, as a negative regulator of HIV-1 infection in interferon (IFN)-stimulated myeloid cells. Trim69 inhibits the early phases of infection of HIV-1, but also of HIV-2 and SIVMAC in addition to the negative and positive-strand RNA viruses vesicular stomatitis virus and severe acute respiratory syndrome coronavirus 2, with magnitudes that depend on the combination between cell type and virus. Mechanistically, Trim69 associates directly to microtubules and its antiviral activity is linked to its ability to promote the accumulation of stable microtubules, a program that we uncover to be an integral part of antiviral IFN-I responses in myeloid cells. Overall, our study identifies Trim69 as the antiviral innate defense factor that regulates the properties of microtubules to limit viral spread and highlights the cytoskeleton as an unappreciated battleground in the host-pathogen interactions that underlie viral infections.
1,908
Partially Reduced MIL-100(Fe) as a CO Carrier for Sustained CO Release and Regulation of Macrophage Phenotypic Polarization
Carbon monoxide (CO) is a bioactive molecule with high potential as it shows promising efficacy for regulating inflammation. Materials capable of storing and delivering CO are of great potential therapeutic value. Although CO-releasing molecules (CORMs) have been developed to deliver CO, the short CO duration of minutes to 2 h confines their practical use. In this study, partially reduced MIL-100(Fe) as a new CO-releasing nanoMOF was developed and used for sustained CO release and macrophage (MA) phenotypic polarization regulation. MIL-100(Fe) was synthesized and mildly annealed in vacuum for partial reduction. When the annealing temperature was lower than 250 °C, less Fe(II) present in MIL-100(Fe) and the subsequent CO adsorption and desorption profiles displayed typical features of physisorption. While it was annealed at 250 °C, it showed about 20% of Fe(III) was reduced, which resulted in chemisorption of CO due to the high coordination affinity of Fe(II) to CO. The loading amount of CO was increased, and the CO release was prolonged for about 24 h. Furthermore, the CO release from this nanoMOF could alter the lipopolysaccharide (LPS)-induced macrophage from M1 to the alternative M2 phenotype and promoted the growth of endothelial cells (ECs) by paracrine regulation of MA. It can be envisioned as a promising CO-releasing solid for biomedical application.
1,909
A WD-RANSAC Instantaneous Frequency Estimator
AWigner distribution-based random sample consensus (RANSAC) algorithm for the instantaneous frequency estimation is proposed. The algorithm performance is studied for several signal types and compared with the state-of-the-art Viterbi algorithm in both accuracy and complexity.
1,910
Enhanced Embedding Capacity for Data Hiding Approach Based on Pixel Value Differencing and Pixel Shifting Technology
Data hiding algorithms can achieve the issue of information security when secret data are transmitted via the public network. This paper proposes a novel data-hiding scheme based on pixel value differencing and pixel shifting to increase embedding capacity and visual quality. In the proposed method, the cover image is first divided into nonoverlapping blocks, and eight groups of different values are generated with the center pixel as the reference pixel to embed the secret message. The pixel shifting strategy is applied to adjust the stego image to improve its quality. Experimental results show that the proposed method has an embedding capacity of 740,000 bits with a peak signal-to-noise ratio value greater than 35 dB. Therefore, it is undetected by the human eye. Other compared state-of-the-art schemes have embedding capacities of 51,219 bits, 70,217 bits, and 104,055 bits, which are lower than the proposed methods' 740,000 bits. The RS, chi-square, and rotation attack analyses prove that the proposed method can withstand security attacks. Thus, the proposed method performs better than other state-of-the-art methods with respect to embedding capacity and ability to withstand attacks.
1,911
Martial Arts Tourism: Meta-Analysis of Publications from 2005-2020
A feature of modern society in the era of cultural globalization is its mobility. One of the manifestations of this social mobility is people spending free time on tourist trips. Tourism, as understood as a sociocultural phenomenon, is a special manifestation of location. In addition to the motives for undertaking trips in martial arts tourism, individual destinations, specific tourism potential and the typology of participants in tourist meetings were analyzed, and individual cases were examined. The research materials were 44 articles published in scientific journals indexed inScopus,Web of Science, andEBSCOHostdatabases. Publications, which appeared in the sources discussed between 2005 and mid-2020s were considered. Some periodicals were present in all three of the quoted databases, therefore specific articles were taken into account only once. This study will cover a meta-analysis of martial arts tourism in journals indexed in several major scientific databases. It is related to the phenomenon of tourism of this type, which is discussed from various scientific perspectives. As a research tool, the Atlas.ti program was used (mainly in the qualitative research or analysis of qualitative data), by means of which correlations and dominant items were sought. A comparison with other publications suggests that no similar meta-analysis has so far been performed in relation to the literature devoted to the subject of "martial arts tourism". Particularly interesting conclusions were identified: (1) there are thematic relations between the destination country, the main destination, and the destination country; (2) martial arts are treated by researchers as both primary, and secondary threads, (3) the difference between travel destinations and types events attended by people interested in martial arts, (4) the variety of event formats plays a role in popularizing the subject of these forms of physical activity, and (5) the number of publications describing specific destinations is not particularly related to specific countries as destinations.
1,912
Detection at high prevalence of newlavirus (protoparvovirus) in the carcasses of red foxes
Wildlife conservation also relies on the study of animal virome. We identified the DNA of a novel fox protoparvovirus, newlavirus, with high (71%) prevalence in the carcasses of red foxes. On genome sequencing, high genetic diversity and possible recombination was observed, suggesting complex evolutionary dynamics in wildlife.
1,913
Life cycle assessment and techno-economic analysis of nitrogen recovery by ammonia air-stripping from wastewater treatment
Wastewater treatment plants (WWTPs) with anaerobic digestion of biosolids produce an ammonia-rich sidestream out of which nitrogen can be recovered through air stripping. Recovered ammonia can be used to produce ammonium sulfate (AS) for agricultural use, enabling the circular return of nitrogen as fertilizer to the food system. We investigate the cost and life cycle environmental impact of recovering ammonia from the sidestream of WWTPs for conversion to AS and compare it to AS production from the Haber Bosch process. We perform life cycle assessment (LCA) to investigate the environmental impact of AS fertilizer production by air-stripping ammonia from WWTP sidestreams at varying sidestream nitrogen concentrations. Techno-economic analysis (TEA) is performed to assess the break-even selling price of sidestream AS production at a WWTP in the City of Philadelphia. Greenhouse gas emissions for air-stripping technology range between 0.2 and 0.5 kg CO2e/kg AS, about six times lower than the hydrocarbon-based Haber-Bosch process, estimated at 2.5 kg CO2e/kg AS. Further reduction of greenhouse gas emissions is feasible by replacing fossil-based energy use in air-stripping process (82-98 % of net energy demand) with renewable sources. Also, a significant reduction in mineral depletion and improvement in human and ecosystem health are observed for the air-stripping approach. Furthermore, the break-even selling price for installing sidestream-based AS production at the Philadelphia's WWTP, considering capital and operating costs, is estimated at $0.046/kg AS (100 %), which is 92 % lower than the 2014 estimate of AS's average selling price at farms in the United States. We conclude that even with varying ammonia concentrations and high sidestream volume, air-stripping technology offers an environmentally and economically favorable option for implementing nitrogen recovery and simultaneous production of AS at WWTPs.
1,914
Divergence-Free Constrained Phase Unwrapping and Denoising for 4D Flow MRI Using Weighted Least-Squares
A novel divergence-free constrained phase unwrapping method was proposed and evaluated for 4D flow MRI. The unwrapped phase field was obtained by integrating the phase variations estimated from the wrapped phase data using weighted least-squares. The divergence-free constraint for incompressible blood flow was incorporated to regulate and denoise the resulting phase field. The proposed method was tested on synthetic phase data of left ventricular flow and in vitro 4D flow measurement of Poiseuille flow. The method was additionally applied to in vivo 4D flow measurements in the thoracic aorta from 30 human subjects. The performance of the proposed method was compared to the state-of-the-art 4D single-step Laplacian algorithm. The synthetic phase data were completely unwrapped by the proposed method for all the cases with velocity encoding (venc) as low as 20% of the maximum velocity and signal-to-noise ratio as low as 5. The in vitro Poiseuille flow data were completely unwrapped with a 60% increase in the velocity-to-noise ratio. For the in-vivo aortic datasets with venc ratio less than 0.4, the proposed method significantly improved the success rate by as much as 40% and reduced the velocity error levels by a factor of 10 compared to the state-of-the-art method. The divergence-free constrained method exhibits reliability and robustness on phase unwrapping and shows improved accuracy of velocity and hemodynamic quantities by unwrapping the low-venc 4D flow MRI data.
1,915
Fractional-N Phase-Locked-Loop-Based Frequency Synthesis: A Tutorial
The fundamentals and state of the art in fractional-N phase-locked-loop (PLL)-based frequency synthesis are reviewed. Particular emphasis is placed on delta-sigma fractional-N PLLs and quantization noise and fractional spur suppression techniques for wide-bandwidth applications.
1,916
Demonstration of Constant 8 W/mm Power Density at 10, 30, and 94 GHz in State-of-the-Art Millimeter-Wave N-Polar GaN MISHEMTs
This paper reports on state-of-the-art millimeter-wave power performance of N-polar GaN-based metal-insulator-semiconductor high-electron-mobility transistors at 30 and 94 GHz. The performance is enabled by our N-polar deep recess structure, whereby a GaN cap layer is added in the access regions of the transistor to simultaneously enhance the access region conductivity while mitigating dc-to-RF dispersion. The impact of lateral scaling of the drain access region length is examined using the tradeoff between breakdown voltage and small-signal gain. Load-pull measurements are presented at 94 GHz, corresponding to the target device operating frequency in W-band, where the device demonstrated a peak power-added efficiency (PAE) of 28.8% at 16 V and record-high maximum output power density of 8 W/mm at 20 V. Additional load-pull measurements at 30 and 10 GHz demonstrate the viability of this device across a wide frequency range where the peak power remained constant at 8W/mm and with peak PAEs of 56% and 58%, respectively.
1,917
Chinese Destinations Related to Martial Arts Tourism from the UNESCO Perspective
The aim of this article is to investigate the authenticity of Shaolin Temple and Chenjiagou Village in the context of intensified martial arts tourism and UNESCO documents. Desk research, structured interviews and participant observation were used to investigate the issue. The issue of cultural and natural heritage has become part of the modern image of a powerful new China. They particularly use these resources in cultural tourism, where boasting of heritage listed on UNESCO's tangible and intangible heritage list is certainly an appropriate impression. The UNESCO intangible and tangible heritage list also includes objects related to martial arts tourism (Shaolin Temple, Chenjiagou Village). The article presents how Western (American, European) preferences and expectations are visible in the way of preserving and using these objects with an attempt to maintain UNESCO standards. It has been noticed that the added objects/events/shows are accepted by the Chinese as increasing the attractiveness of the place, even if they are not thematically and historically related to it. The authors checked whether a certain cultural compromise is possible or whether these places are a completely Westernized product, taking the form of theme parks or ethnoparks. For Western tourists, such phenomena are often synonymous with the commercialization and falsification of the authenticity of a place, which is why the role of cultural education is very important, both in China and in Western countries.
1,918
Meta-analysis for Association of Interleukin 4 VNTR Polymorphism with Rheumatoid Arthritis Risk and Severity
Rheumatoid Arthritis (RA) is a chronic autoimmune disease characterized by severe joint pain. There are conflicting results for the association of Interleukin 4 (IL4) variable number tandem repeats (VNTR; rs8179190) polymorphism with RA. Therefore, we performed a meta-analysis of the available studies to investigate the association of IL4 VNTR polymorphism with RA risk and severity in the overall populations and Asian, Egyptian, European, and Turkish ethnicities by sub-group analyses. Eight studies involving 1993 RA patients and 1732 controls were included in this meta-analysis. We found increased RA risk for the susceptible "R2R2" genotype and "R2" allele under heterozygous, recessive, and allelic models in the Asian populations (p < 0.00001, p < 0.0001, p = 0.001). We observed a significant association between "R2R2" genotype and "R2" allele for RA protection in the Turkish population under heterozygous, recessive, and allelic models (p = 0.01, p = 0.004, p = 0.002). Disease severity-based analysis revealed significant association for "R2R2" genotype and "R2" allele with RA severity under homozygous, heterozygous, recessive, dominant, and allelic models(p = 0.0004, p = 0.03, p = 0.02, p = 0.003, p = 0.01), specifically in Asian populations (p = 0.009, p = 0.02, p = 0.003, p = 0.03, p = 0.01) and under heterozygous, dominant, and allelic genetic models in Egyptian (p = 0.0001, p < 0.0001, p < 0.0001) and European (p = 0.002, p = 0.0007, p = 0.0006) populations. In silico analysis suggested that the susceptible "R2" allele changes the RNA secondary structure to a stable form by changing minimum free energy(ΔG) from - 115.20 to - 136.40 kcal/mol, which might lead to increased stability of IL-4 in RA patients. Overall, the meta-analysis suggests for the involvement of susceptible "R2" allele with RA risk in the Asian populations, RA severity in the overall populations (specifically in Asian, Egyptian, & European populations), and RA protection in the Turkish population.
1,919
Learning about climate change in, with and through art
Effective strategies to learn about and engage with climate change play an important role in addressing this challenge. There is a growing recognition that education needs to change in order to address climate change, yet the question remains "how?" How does one engage young people with a topic that is perceived as abstract, distant, and complex, and which at the same time is contributing to growing feelings of sadness, hopelessness, and anxiety among them? In this paper, I argue that although the important contributions that the arts and humanities can make to this challenge are widely discussed, they remain an untapped or underutilized potential. I then present a novel framework and demonstrate its use in schools. Findings from a high school in Portugal point to the central place that art can play in climate change education and engagement more general, with avenues for greater depth of learning and transformative potential. The paper provides guidance for involvementin,with, andthroughart and makes suggestions to create links between disciplines to support meaning-making, create new images, and metaphors and bring in a wider solution space for climate change. Going beyond the stereotypes of art as communication and mainstream climate change education, it offers teachers, facilitators, and researchers a wider portfolio for climate change engagement that makes use of the multiple potentials of the arts.
1,920
ART-MMAP: A neural network approach to subpixel classification
Global or continental-scale land cover mapping with remote sensing data is limited by the spatial characteristics of satellites. Subpixel-level mapping is essential for the successful description of many land cover patterns with spatial resolution of less than similar to1 km and also useful for finer resolution data. This paper presents a novel adaptive resonance theory MAP (ARTMAP) neural network-based mixture analysis model-ART mixture MAP (ART-MMAP). Compared to the ARTMAP model, ART-MMAP has an enhanced interpolation function that decreases the effect of category proliferation in ART, and overcomes the limitation of class category in ART(b). Results from experiments demonstrate the superiority of ART-MMAP in terms of estimating the fraction of land cover within a single pixel.
1,921
Respecting local knowledge keepers through cellphilms featuring local water bodies: towards decolonizing water management
This paper outlines arts-based methods aimed at exploring how storytelling with local knowledge keepers (KKs) through cellphilms featuring local waterways might contribute to decolonizing water management by uncovering different values of and relationships with water. We define knowledge keepers' as people who have an existing relationship with a particular water body and whose knowledge and expertise with respect to the water body emerge from lived experience and not academic scholarship or technical training. We provide insights into and analyse a graduate curriculum enacted in South Africa, where students, through encounters with local KKs and water bodies, made cellphilms presenting their own water narratives and screened these for the public. Cellphilms, participatory visual methods in research and teaching, are used to explore learning experiences for students and KKs, and the resulting cellphilms become places of knowledge transfer. We outline our theoretical and methodological approaches as they relate to our goals of decolonizing expertise in higher education learning and addressing multiple types of water-related values.
1,922
Identification, molecular characterization and gene expression analysis of sox1a and sox1b genes in Japanese flounder, Paralichthys olivaceus
The transcription factor, Sox1 has been implicated in neural determination and differentiation as well as in the maintenance of neural progenitor cell status in mammals. However, the molecular cloning and expression of sox1 gene in marine fish have not been reported yet. In this study, we first cloned and characterized the full-length cDNAs and the partial 5'-flanking regions of Paralichthys olivaceus sox1a (Posox1a) and sox1b (Posox1b). Phylogenetic, gene structure, and chromosome synteny analyses revealed that Posox1a and Posox1b were co-orthologs and homologous to mammalian Sox1. The promoter regions of Posox1a and Posox1b were also analyzed and several potential transcription factor (TF) binding sites were identified which might modulate gene expression. Quantitative real-time RT-PCR (qRT-PCR) results showed that Posox1a and Posox1b were consistently expressed during embryogenesis, with the highest level at the neurula stage. Tissue distribution analyses revealed that Posox1a and Posox1b were abundant in the adult brain. Moreover, Posox1a had a faster evolution rate and much higher expression levels than Posox1b. These results provide a foundation for further surveying the function of PoSox1 genes during Japanese flounder development and neurogenesis.
1,923
Hyper-glycemia and insulinemia induce morphological changes and modulate secretion of S100B, S100A8, amyloid β 1-40 and amyloid β 1-42, in a model of human dopaminergic neurons
Glucose metabolism in neuronal tissue declines during neurodegenerative disorders in a progressive, region-specific, and disease-specific manner. Studies have shown that extracellular hyper-glycemia affects the functioning of adenosine triphosphate (ATP) sensitive potassium channels located in neurons and astrocytes. Also, hyper-insulinemia contributes to the formation and progression of Alzheimer's disease (AD) via competition with amyloid β (Aβ) for insulin-degrading enzyme. Aβ disruption is phosphatidylinositol 3-kinase pathway dependent, and increased circulatory insulin concentrations lead to Aβ accumulation. In 2008, based on assessment of brain glucose utilization disorders and insulin signaling disruptions, it was proposed that AD could be called "type III diabetes". Proteins from the S100 family are actively secreted during metabolic and oxidative stress, but their role in neuronal cells has yet to be clarified. However, it has been demonstrated that they act in a dose-dependent manner, which may be crucial in the modulation of glucose and insulin metabolism in the brain. The goal of this paper was to elucidate the association between high glucose and insulin concentrations with extra- and intracellular S100B and S100A8 proteins levels as well as the correlation with toxic (Aβ42) and physiologic (Aβ40) forms of Aβ. Medium and high glucose concentrations mimicking pre-diabetic and diabetic state, caused statistically significant discharge of S100b and S100A8 protein to the extracellular compartment. Similar effect was observed after 50 nM insulin incubation. Furthermore, the correlation coefficient patterns between those proteins shows similar associations which highlights possible effective and modulating role of S100 family in the metabolic disturbances occurring in neuropathological disorders.
1,924
Chipless RFID Printing Technologies: A State of the Art
Recently, the field of flexible electronics has received significant research attention, primarily in response to the growing market for lightweight and compact devices. The low-cost mass fabrication of these flexible-electronic printed products, such as RF identification (RFID) tags, wireless sensors, conductive tags and readers, touchpads for keyboards, and display applications, all require knowledge of additive production techniques and appropriate substrates.
1,925
The Sustainability of Rock Art: Preservation and Research
Rock art is a widespread cultural heritage, representing an immovable element of the material culture created on natural rocky supports. Paintings and petroglyphs can be found within caves and rock shelters or in open-air contexts and for that reason they are not isolated from the processes acting at the Earth surface. Consequently, rock art represents a sort of ecosystem because it is part of the complex and multidirectional interplay between the host rock, pigments, environmental parameters, and microbial communities. Such complexity results in several processes affecting rock art; some of them contribute to its destruction, others to its preservation. To understand the effects of such processes an interdisciplinary scientific approach is needed. In this contribution, we discuss the many processes acting at the rock interface-where rock art is present-and the multifaceted possibilities of scientific investigations-non-invasive or invasive-offered by the STEM disciplines. Finally, we suggest a sustainable approach to investigating rock art allowing to understand its production as well as its preservation and eventually suggest strategies to mitigate the risks threatening its stability.
1,926
Tree-Based Kernel for Graphs With Continuous Attributes
The availability of graph data with node attributes that can be either discrete or real-valued is constantly increasing. While existing Kernel methods are effective techniques for dealing with graphs having discrete node labels, their adaptation to nondiscrete or continuous node attributes has been limited, mainly for computational issues. Recently, a few kernels especially tailored for this domain, and that trade predictive performance for computational efficiency, have been proposed. In this brief, we propose a graph kernel for complex and continuous nodes' attributes, whose features are tree structures extracted from specific graph visits. The kernel manages to keep the same complexity of the state-of-the-art kernels while implicitly using a larger feature space. We further present an approximated variant of the kernel, which reduces its complexity significantly. Experimental results obtained on six real-world data sets show that the kernel is the best performing one on most of them. Moreover, in most cases, the approximated version reaches comparable performances to the current state-of-the-art kernels in terms of classification accuracy while greatly shortening the running times.
1,927
Situational Strength as a Lens to Understand the Strain Implications of Extra-Normative Work
Employees must often perform work outside of the time and/or space requirements that typically define their job role (e.g., working after-hours, teleworking), especially during the COVID-19 pandemic. We introduce the concept of extra-normative work to capture this idea and draw on situational strength theory to test the seemingly paradoxical hypotheses that (1) the effects of extra-normative work are more harmful to employee strain when this work represents a stronger situation (i.e., one that unambiguously prescribes expected behavior), relative to when this work represents a weaker situation (i.e., one that allows for greater personal choice and behavioral latitude), but that (2) this strain is diminished when situational strength is achieved by maximizing the clarity and consistency of extra-normative work, while this strain is enhanced when situational strength is achieved by imposing greater constraints and consequences surrounding extra-normative work. These predictions were supported in an experimental vignette study, a survey focused on after-hours work experiences, and an investigation of telework in response to COVID-19. We discuss the theoretical implications of viewing extra-normative work through the lens of situational strength, while also outlining how our findings inform best practices surrounding how to communicate about and frame extra-normative work to employees.
1,928
Emergence in Interactive Artistic Visualization
This research draws on theories of emergence to inform the creation of an artistic and direct visualization. This is an interactive artwork and drawing tool for creative participant experiences. Emergence is characteristically creative and many different models of emergence exist. It is therefore possible to effect creativity through the application of emergence mechanisms from these different disciplines. A review of theories of emergence and examples of visualization in the arts, is provided. An art project led by the author is then discussed in this context. This project, Iterative Intersections, is a collaboration with community artists from Cerebral Palsy League. It has resulted in a number of creative outcomes including the interactive art application, Of me with me. Analytical discussion of this work shows how its construction draws on aspects of experience design, fractal and emergent theory to effect perceptual emergence and creative experience as well as to facilitate self-efficacy.
1,929
Freehand scanning photoacoustic microscopy with simultaneous localization and mapping
Optical-resolution photoacoustic microscopy offers high-resolution, label-free hemodynamic and functional imaging to many biomedical applications. However, long-standing technical barriers, such as limited field of view, bulky scanning probes, and slow imaging speed, have limited the application of optical-resolution photoacoustic microscopy. Here, we present freehand scanning photoacoustic microscopy (FS-PAM) that can flexibly image various anatomical sites. We develop a compact handheld photoacoustic probe to acquire 3D images with high speed, and great flexibility. The high scanning speed not only enables video camera mode imaging but also allows for the first implementation of simultaneous localization and mapping (SLAM) in photoacoustic microscopy. We demonstrate fast in vivo imaging of some mouse organs, and human oral mucosa. The high imaging speed greatly reduces motion artifacts and distortions from tissue moving, breathing, and unintended handshaking. We demonstrate small-lesion localization in a large region of the brain. FS-PAM offers a flexible high-speed imaging tool with an extendable field of view, enabling more biomedical imaging applications.
1,930
Multiple Beamforming with Perfect Coding
Perfect Space-Time Block Codes (PSTBCs) achieve full diversity, full rate, nonvanishing constant minimum determinant, uniform average transmitted energy per antenna, and good shaping. However, the high decoding complexity is a critical issue for practice. When the Channel State Information (CSI) is available at both the transmitter and the receiver, Singular Value Decomposition (SVD) is commonly applied for a Multiple-Input Multiple-Output (MIMO) system to enhance the throughput or the performance. In this paper, two novel techniques, Perfect Coded Multiple Beamforming (PCMB) and Bit-Interleaved Coded Multiple Beamforming with Perfect Coding (BICMB-PC), are proposed, employing both PSTBCs and SVD with and without channel coding, respectively. With CSI at the transmitter (CSIT), the decoding complexity of PCMB is substantially reduced compared to a MIMO system employing PSTBC, providing a new prospect of CSIT. Especially, because of the special property of the generation matrices, PCMB provides much lower decoding complexity than the state-of-the-art SVD-based uncoded technique in dimensions 2 and 4. Similarly, the decoding complexity of BICMB-PC is much lower than the state-of-the-art SVD-based coded technique in these two dimensions, and the complexity gain is greater than the uncoded case. Moreover, these aforementioned complexity reductions are achieved with only negligible or modest loss in performance.
1,931
High-resolution cortical MAP-MRI reveals areal borders and laminar substructures observed with histological staining
The variations in cellular composition and tissue architecture measured with histology provide the biological basis for partitioning the brain into distinct cytoarchitectonic areas and for characterizing neuropathological tissue alterations. Clearly, there is an urgent need to develop whole-brain neuroradiological methods that can assess cortical cyto- and myeloarchitectonic features non-invasively. Mean apparent propagator (MAP) MRI is a clinically feasible diffusion MRI method that quantifies efficiently and comprehensively the net microscopic displacements of water molecules diffusing in tissues. We investigate the sensitivity of high-resolution MAP-MRI to detecting areal and laminar variations in cortical cytoarchitecture and compare our results with observations from corresponding histological sections in the entire brain of a rhesus macaque monkey. High-resolution images of MAP-derived parameters, in particular the propagator anisotropy (PA), non-gaussianity (NG), and the return-to-axis probability (RTAP) reveal cortical area-specific lamination patterns in good agreement with the corresponding histological stained sections. In a few regions, the MAP parameters provide superior contrast to the five histological stains used in this study, delineating more clearly boundaries and transition regions between cortical areas and laminar substructures. Throughout the cortex, various MAP parameters can be used to delineate transition regions between specific cortical areas observed with histology and to refine areal boundaries estimated using atlas registration-based cortical parcellation. Using surface-based analysis of MAP parameters we quantify the cortical depth dependence of diffusion propagators in multiple regions-of-interest in a consistent and rigorous manner that is largely independent of the cortical folding geometry. The ability to assess cortical cytoarchitectonic features efficiently and non-invasively, its clinical feasibility, and translatability make high-resolution MAP-MRI a promising 3D imaging tool for studying whole-brain cortical organization, characterizing abnormal cortical development, improving early diagnosis of neurodegenerative diseases, identifying targets for biopsies, and complementing neuropathological investigations.
1,932
A Novel Approach for Bi-Level Segmentation of Tuberculosis Bacilli Based on Meta-Heuristic Algorithms
Image thresholding is the most crucial step in microscopic image analysis to distinguish bacilli objects causing of tuberculosis disease. Therefore, several bi-level thresholding algorithms are widely used to increase the bacilli segmentation accuracy. However, bi-level microscopic image thresholding problem has not been solved using optimization algorithms. This paper introduces a novel approach for the segmentation problem using heuristic algorithms and presents visual and quantitative comparisons of heuristic and state-of-art thresholding algorithms. In this study, well-known heuristic algorithms such as Firefly Algorithm, Particle Swarm Optimization, Cuckoo Search, Flower Pollination are used to solve bi-level microscopic image thresholding problem, and the results are compared with the state-of-art thresholding algorithms such as K-Means, Fuzzy C-Means, Fast Marching. Kapur's entropy is chosen as the entropy measure to be maximized. Experiments are performed to make comparisons in terms of evaluation metrics and execution time. The quantitative results are calculated based on ground truth segmentation. According to the visual results, heuristic algorithms have better performance and the quantitative results are in accord with the visual results. Furthermore, experimental time comparisons show the superiority and effectiveness of the heuristic algorithms over traditional thresholding algorithms.
1,933
Update on the use of ultrasound in the diagnosis and monitoring of the critical patient
Hemodynamic and respiratory complications are the main causes of morbidity and mortality in in critical care units (CCU). Imaging techniques are a key tool in differential diagnosis and treatment. In the last decade, ultrasound has shown great potential for bedside diagnosis of respiratory disease, as well as for the hemodynamic assessment of critically ill patients. Ultrasound has proven to be a useful guide for identifying the type of shock, estimating cardiac output, guiding fluid therapy and vasoactive drugs, providing security in the performance of percutaneous techniques (thoracentesis, pericardiocentesis, evacuation of abscesses/hematomas), detecting dynamically in real time pulmonary atelectasis and its response to alveolar recruitment maneuvers, and predicting weaning failure from mechanical ventilation. Due to its dynamic nature, simple learning curve and absence of ionizing radiation, it has been incorporated as an essential tool in daily clinical practice in CCUs. The objective of this review is to offer a global vision of the role of ultrasound and its applications in the critically ill patient.
1,934
Fast near-maximum likelihood phase estimation of X-ray pulsars
This letter addresses the problem of X-ray pulsar radiation phase estimation, encountered in research works concerning autonomous deep space navigation systems. Autonomous navigation systems represent an intriguing solution to be employed when Earth-assisted navigation is not viable for long range missions. In such applications. X-ray pulsars, as well as other celestial objects, may be employed as peculiar beacons to allow the spacecrafts to adjust their own route. State of the art techniques for estimation of X-ray pulsar radiation phase involve maximization of generally nonconvex objective functions, thus resulting in computationally onerous procedures. Here, we show how the problem of pulsar phase estimation can be recast as a cyclic shift parameter estimation problem under multinomial distributed observations, whose maximum likelihood solution can be implemented by means of a fast, Discrete Fourier Transform based procedure. Numerical results show how the herein described fast, near maximum likelihood, estimator favorably compares with selected state of the art estimators, while presenting a significantly reduced computational complexity. (C) 2012 Elsevier B.V. All rights reserved.
1,935
Chroma binary similarity and local alignment applied to cover song identification
We present a new technique for audio signal comparison based on tonal subsequence alignment and its application to detect cover versions (i.e., different performances of the same underlying musical piece). Cover song identification is a task whose popularity has increased in the music: information retrieval (MIR) community along in the past, as it provides a direct and objective. way to evaluate music similarity algorithms. This paper first presents a series of experiments carried out with two state-of-the-art methods for cover song identification. We have studied several components of these (such as chroma resolution and similarity, transposition, beat tracking or dynamic time warping constraints), in order to discover which characteristics would be desirable for a competitive cover song identifier. After analyzing many cross-validated results, the importance of these. characteristics is discussed, and the best performing ones are finally applied to the newly proposed method. Multiple evaluations of this one confirm a large increase in identification accuracy when comparing it with alternative state-of-the-art approaches.
1,936
Validation of Flow Cytometry and Magnetic Bead-Based Methods to Enrich CNS Single Cell Suspensions for Quiescent Microglia
Microglia are resident mononuclear phagocytes within the CNS parenchyma that intimately interact with neurons and astrocytes to remodel synapses and extracellular matrix. We briefly review studies elucidating the molecular pathways that underlie microglial surveillance, activation, chemotaxis, and phagocytosis; we additionally place these studies in a clinical context. We describe and validate an inexpensive and simple approach to obtain enriched single cell suspensions of quiescent parenchymal and perivascular microglia from the mouse cerebellum and hypothalamus. Following preparation of regional CNS single cell suspensions, we remove myelin debris, and then perform two serial enrichment steps for cells expressing surface CD11b. Myelin depletion and CD11b enrichment are both accomplished using antigen-specific magnetic beads in an automated cell separation system. Flow cytometry of the resultant suspensions shows a significant enrichment for CD11b(+)/CD45(+) cells (perivascular microglia) and CD11b(+)/CD45(-) cells (parenchymal microglia) compared to starting suspensions. Of note, cells from these enriched suspensions minimally express Aif1 (aka Iba1), suggesting that the enrichment process does not evoke significant microglial activation. However, these cells readily respond to a functional challenge (LPS) with significant changes in the expression of molecules specifically associated with microglia. We conclude that methods employing a combination of magnetic-bead based sorting and flow cytometry produce suspensions highly enriched for microglia that are appropriate for a variety of molecular and cellular assays.
1,937
Effects of fluids on the surface generation in material removal processes - Molecular dynamics simulation
Molecular dynamics (MD) simulation has been attractive in order to gain deeper understanding of microscopic material behavior and have been applied to study various materials properties and phenomena. Most of the MD material removal process simulations were focusing on the material removal mechanisms, chip and surface generation. The state-of-the-art in MD grinding, scratching, cutting or indentation simulation did not consider fluids or an atmosphere (neither gas nor liquid). Hence, the environment represents high vacuum with no heat convection. In this contribution we will describe an extension of the state-of-the-art MD material removal process modeling to consider fluids like coolants and elaborate on its impact on the surface generation and the tribological contact conditions on basis of MD simulation results.
1,938
Can changes in 3D genome architecture create new regulatory landscapes that contribute to phenotypic evolution?
Animal genomes are compartmentalized into insulated regulatory units named topology-associated domains (TADs). TADs insulate gene promoters from enhancers that occupy neighboring TADs. Chromosomal rearrangements that disrupt TAD structure can generate new regulatory interactions between enhancers and promoters that were once separated into different TADs, which might lead to new gene expression patterns. On the one hand, TAD rearrangements are known to cause deleterious phenotypes, but, on the other hand, rearrangements can also create novel expression patterns that may be selected during evolution because they generate advantageous phenotypes. Here, we review recent studies that explore the effects of chromosomal rearrangements and genetic perturbations on TAD structure and gene regulation in the context of development and evolution. We discuss the possible contribution of evolutionary breakpoints (EBRs) that affect TAD structure to the evolution of gene regulation and the phenotype.
1,939
The deposition mapping of polycyclic aromatic hydrocarbons in megacity Shanghai, China
The deposition of polycyclic aromatic hydrocarbon (PAHs) has far-reaching impacts on Earth's surface system and human health. However, a comprehensive understanding of PAHs' deposition in a high urbanized area is still lacking because of limited field measurements data and rough resolution of current models. In this research, a deposition map of PAHs with a resolution of 2 × 2 km in megacity Shanghai, China was established. Gridded annual total deposition of PAHs from July 2020 to June 2021 ranged from 385 to 10,631 ng/(m2·d), with a mean value of 2,611 ng/(m2·d). The highest PAHs deposition was found over the downtown Shanghai, which received 4.3 times the deposition flux of outlying areas. About 77 % of area in Shanghai was dominated by wet deposition which accounted for 62 % of total deposition in Shanghai. The total deposition showed a trend of summer>fall>spring>winter, which was similar to that of the amount of rain. Source apportionment and geographically weighted regression analysis showed that built-up land and human activities are key driving factors of PAHs' deposition in Shanghai. Our results suggest that intensive human activities could alter the PAHs deposition distribution in Shanghai, and improve the understanding of PAHs' environmental behavior in high urbanized area.
1,940
3D Reconstruction of Human Motion from Monocular Image Sequences
This article tackles the problem of estimating non-rigid human 3D shape and motion from image sequences taken by uncalibrated cameras. Similar to other state-of-the-art solutions we factorize 2D observations in camera parameters, base poses and mixing coefficients. Existing methods require sufficient camera motion during the sequence to achieve a correct 3D reconstruction. To obtain convincing 3D reconstructions from arbitrary camera motion, our method is based on a-priorly trained base poses. We show that strong periodic assumptions on the coefficients can be used to define an efficient and accurate algorithm for estimating periodic motion such as walking patterns. For the extension to non-periodic motion we propose a novel regularization term based on temporal bone length constancy. In contrast to other works, the proposed method does not use a predefined skeleton or anthropometric constraints and can handle arbitrary camera motion. We achieve convincing 3D reconstructions, even under the influence of noise and occlusions. Multiple experiments based on a 3D error metric demonstrate the stability of the proposed method. Compared to other state-of-the-art methods our algorithm shows a significant improvement.
1,941
IMPLEMENTATION OF MARINE STRATEGY FRAMEWORK DIRECTIVE IN ROMANIA
The European Marine Strategy Framework Directive (MSFD; European Commission 2008) aims at achieving or maintaining a Good Environmental Status (GES) by 2020 in marine waters, following an ecosystem-based approach. According to MSFD, GES is defined in terms of 11 descriptors using a number of criteria and indicators associated to each descriptor. By the end of 2012, in Romania first steps have been undertaken in the directive implementation, including its transposition into national legislations and the preparation of the Initial Assessment (IA) (Art. 8), determination of Good Environmental Status (GES) (Art. 9), and setting Environmental Targets and Indicators (Art. 10). The MSFD process further included the development of a Monitoring and Measures Programme, as the work on the latter started in 2015 and was finalised in 2017. The aim of this paper is to describe the preparation process of the MSFD in Romania which took place up to 2017.
1,942
Improved Outcomes for Infants and Young Children Undergoing Lung Transplantation at Three Years of Age and Younger
Rationale: Since its inception, older children and adolescents have predominated in pediatric lung transplantation. Most pediatric lung transplant programs around the world have transplanted few infants and young children. Early mortality after lung transplantation and inadequate donor organs have been perceived as limitations for success in lung transplantation at this age. Objectives: Our aim was to describe our experience in a large pediatric lung transplant program with respect to lung transplantation in infants and young children, focusing on diagnosis, waitlist, and mortality. Methods: We performed a retrospective review of infants and young children under 3 years of age at the time of transplant in our program from 2002 through 2020. Results: The patient cohort represented a severely morbid recipient group, with the majority hospitalized in the intensive care unit on mechanical ventilation just before transplantation. There was a marked heterogeneity of diagnoses distinct from diagnoses in an older cohort. Waitlist time was shorter than in older age cohorts. There was a decrease in early mortality, lower incidence of allograft rejection, and satisfactory long-term survival in this age group compared with the older cohort and published experience. Severe viral infection was an important cause of early mortality after transplant. Nonetheless, survival is comparable to older patients, with better enduring survival in those who survive the early transplant period in more recent years. Conclusions: Carefully selected infants and young children with end-stage lung and pulmonary vascular disease are appropriate candidates for lung transplantation and are likely underserved by current clinical practice.
1,943
Flexible Transport of 3-D Video Over Networks
Three-dimensional (3-D) video is the next natural step in the evolution of digital media technologies. Recent 3-D autostereoscopic displays can display multiview video with up to 200 views. While it is possible to broadcast 3-D stereo video (two views) over digital TV platforms today, streaming over Internet Protocol (IP) provides a more flexible approach for distribution of stereo and free-view 3-D media to home and mobile with different connection bandwidths and different 3-D displays. Here, flexible transport refers to rate-scalable, resolution-scalable, and view-scalable transport over different channels including digital video broadcasting (DVB) and/or IP. In this paper, we first briefly review the state of the art in 3-D video formats, coding methods for different transport options and video formats, IP streaming protocols, and streaming architectures. We then take a look at beyond the state of the art in 3-D video transport research, including asymmetric stereoscopic video streaming, adaptive and peer-to-peer (P2P) streaming of multiview video, view-selective streaming and future directions in broadcast of 3-D media over IP and jointly over DVB and IP.
1,944
A propensity score-matched analysis of oncological outcome after systemic therapy for stage IV colorectal cancer: Impact of synchronous ovarian metastases
The reported incidence of synchronous and metachronous ovarian metastases (OM) from colorectal cancer (CRC) is ~3.4%. OM from CRC are often considered sanctuary sites due to their lower sensitivity to systemic treatment. It has thus been hypothesized that the presence of OM decreases overall survival. Therefore, the purpose of our study was to evaluate the impact of synchronous OM on overall survival in female patients with stage IV CRC treated with systemic therapy alone with palliative intent. The present study used data from the Netherlands Cancer Registry and included female CRC patients with synchronous systemic metastases who were treated with systemic therapy between 2008 and 2018. A subsample was created using propensity score matching to create comparable groups. Propensity scores were determined using a logistic regression model in which the dependent variable was the presence of OM and the independent variables were the variables that differed significantly between both groups. Our study included 5253 patients with stage IV CRC that received systemic therapy. Among these patients, 161 (3%) had OM while 5092 (97%) had extra-ovarian metastases only. Three-year overall survival rates did not show a significant difference between patients with OM compared to patients without ovarian metastases. Moreover, the propensity score-matched analysis showed that the presence of OM in patients treated with systemic therapy for stage IV CRC disease was not associated with decreased 3-year overall survival. However, the results of the present study should be interpreted with caution, due to its observational character and used selection criteria.
1,945
A Cost-Effective Random Testing Method for Programs with Non-Numeric Inputs
Randomtesting (RT) has been widely used in the testing of various software and hardware systems. Adaptive random testing (ART) is a family of random testing techniques that aim to enhance the failure-detection effectiveness of RT by spreading random test cases evenly throughout the input domain. ART has been empirically shown to be effective on software with numeric inputs. However, there are two aspects of ART that need to be addressed to render its adoption more widespread-applicability to programs with non-numeric inputs, and the high computation overhead of many ART algorithms. We present a linear-order ART algorithm for software with non-numeric inputs. The key requirement for using ART with non-numeric inputs is an appropriate "distance" measure. We use the concepts of categories and choices from category-partition testing to formulate such a measure. We investigate the failure-detection effectiveness of our technique by performing an empirical study on 14 object programs, using two standard metrics-F-measure and P-measure. Our ART algorithm statistically significantly outperforms RT on 10 of the 14 programs studied, and exhibits performance similar to RT on three of the four remaining programs. The selection overhead of our ART algorithm is close to that of RT.
1,946
Learning factories for future oriented research and education in manufacturing
Learning factories present a promising environment for education, training and research, especially in manufacturing related areas which are a main driver for wealth creation in any nation. While numerous learning factories have been built in industry and academia in the last decades, a comprehensive scientific overview of the topic is still missing. This paper intends to close this gap by establishing the state of the art of learning factories. The motivations, historic background, and the didactic foundations of learning factories are outlined. Definitions of the term learning factory and the corresponding morphological model are provided. An overview of existing learning factory approaches in industry and academia is provided, showing the broad range of different applications and varying contents. The state of the art of learning factories curricula design and their use to enhance learning and research as well as potentials and limitations are presented. Conclusions and an outlook on further research priorities are offered. (C) 2017 Published by Elsevier Ltd on behalf of CIRP.
1,947
4,5-Dihydro-1,2,3-oxadiazole: A Very Elusive Key Intermediate in Various Important Chemical Transformations
4,5-Dihydro-1,2,3-oxadiazoles are postulated to be key intermediates in the industrial synthesis of ketones from alkenes, in the alkylation of DNA in vivo, and in the decomposition of N-nitrosoureas; they are also a subject of great interest for theoretical chemists. In the presented report, the formation of 4,5-dihydro-1,2,3-oxadiazole and the subsequent decay into secondary products have been studied by NMR monitoring analysis. The elusive properties evading characterization have now been confirmed by (1) H, (13) C, and (15) N NMR spectroscopy, and relevant 2D experiments at very low temperatures. Our experiments with suitably substituted N-nitrosoureas using thallium(I) alkoxides as bases under apolar conditions answer important questions on the existence and the secondary products of 4,5-dihydro-1,2,3-oxadiazole.
1,948
Reimagining futures: Collaborations between artists, designers, and scientists as a roadmap to help solve the climate crisis
As the climate crisis intensifies amid some persistent public denial of the science, there exists a necessary opportunity for scientists to engage in transdisciplinary collaborations, such as those with artists and designers, in an effort to both improve the communication of climate science, but also to bolster the production of scientific knowledge. We demonstrate how art and design can activate the human imagination and promote collaboration across disciplines in a way that the post-Enlightenment scientific endeavor has historically been unable to do and can provide a framework for developing sustainable solutions to the climate crisis. Here, we describe 2 studies that involved collaboration between artists and designers and climate scientists. The first study paired a team of designers and computer scientists with climate and atmospheric scientists from the Jet Propulsion Laboratory in an effort to (re)build an exploratory research interface for the Multi-Angle Spectroradiometer Plume Height Project dataset. This project not only produced an aesthetic visualization interface with highly improved functionality, but it also demonstrated how an improved interface can enable scientists to pursue more and "better" research hypotheses. For the second study, we worked with artists at the School of the Art Institute of Chicago to create three sonic-based art pieces that effectively communicated the science of climate change, appealed to human aesthetic judgment, and expanded the scope of our "ecological awareness." We show that, while collaborations between artists and scientists are not necessarily novel, the integration of art, design, and science from a project's inception can improve both the production of knowledge and constitute an entry point for regular people to understand and engage with their rapidly changing planet.
1,949
Human Platelet Lysate as Valid Cell Growth Additive to Assess Protein Acetylation
Experiments with cell cultures are an alternative to animal experiments. One problem, however, is the ethically questionable use of fetal calf serum (FCS, which some authors refer to as fetal bovine serum, FBS). Furthermore, FCS is an undefined variable mixture and a possible source of contaminations. We reported that lysine acetylation was very similar in cells in growth media containing FCS or human platelet lysate (hPL). Here, we explain in detail how to generate and use hPL as a cost-effective substitute for FCS in experiments with mammalian cell cultures. A large panel of cells and conditions can be cultured and tested in media with hPL.
1,950
Dissecting the cannabinergic control of behavior: The where matters
The endocannabinoid system is the target of the main psychoactive component of the plant Cannabis sativa, the Δ(9)-tetrahydrocannabinol (THC). This system is composed by the cannabinoid receptors, the endogenous ligands, and the enzymes involved in their metabolic processes, which works both centrally and peripherally to regulate a plethora of physiological functions. This review aims at explaining how the site-specific actions of the endocannabinoid system impact on memory and feeding behavior through the cannabinoid receptors 1 (CB1 R). Centrally, CB1 R is widely distributed in many brain regions, different cell types (e.g. neuronal or glial cells) and intracellular compartments (e.g. mitochondria). Interestingly, cellular and molecular effects are differentially mediated by CB1 R according to their cell-type localization (e.g. glutamatergic or GABAergic neurons). Thus, understanding the cellular and subcellular function of CB1 R will provide new insights and aid the design of new compounds in cannabinoid-based medicine. Also watch the Video Abstract.
1,951
Greedy Caching: An optimized content placement strategy for information-centric networks
Most content placement strategies in information-centric networks (ICN) primarily focus on pushing popular content to the network edge, fail to effectively utilize the caches in the network core and provide limited performance improvement. In this paper, we propose Greedy Caching, a content placement strategy that determines the set of content to be cached at each network node so as to maximize the network hit rate. Greedy Caching caches the most popular content at the network edge, recalculates the relative popularity of each piece of content based on the request miss stream from downstream caches and then determines the content to be cached in the network core. We perform exhaustive simulation in the Icarus simulator [1] using realistic Internet topologies (e.g., GARR, GEANT, WIDE, scale-free networks) as well as real-world request stream traces, and demonstrate that Greedy Caching provides significant improvement in content download delay (referred to as latency) over state-of-the-art dynamic caching and routing strategies for ICN for a wide range of simulation parameters. Our simulation results suggest an improvement of 5-28% in latency and 15-50% improvement in hit rate over state-of-the-art policies for synthetic traces. (C) 2018 Elsevier B.V. All rights reserved.
1,952
Object Tracking in Satellite Videos: A Spatial-Temporal Regularized Correlation Filter Tracking Method With Interacting Multiple Model
Target occlusion is common in satellite videos, which makes object tracking difficult because most state-of-the-art trackers are not robust to occlusion, particularly complete occlusion. In this letter, we propose a novel correlation filter algorithm with an interacting multiple model (IMM) for object tracking in satellite videos that combines the strength of the correlation filter and the IMM. When the target is occluded, we utilize the IMM to predict target position. Therefore, the proposed tracker is robust to occlusion. The experimental results demonstrate that our tracker performs favorably when the target is occluded and achieves excellent performance compared with state-of-the-art methods.
1,953
New Electrographic Marker? Evaluation of Sleep Spindles in Children with Attention Deficit Hyperactivity Disorder
Introduction: Attention deficit and hyperactivity disorder (ADHD) is one of the most common developmental disorders in childhood which lasts lifelong. Sleep structure and sleep spindle features are disorganized in ADHD. In this study, we aimed to look for a new, simple, inexpensive, and an easily detectable electrographic marker in the diagnosis of ADHD by using electroencephalography (EEG). Method: We included treatment free 35 patients with ADHD and 32 healthy children (HC) who were examined by polysomnography (PSG) and EEG for sleep disorders. The ADHD group were separated into three groups according to predominant presentations of ADHD. We determined the sleep staging and slow and fast sleep spindles, calculated each spindle's amplitude, frequency, activity, duration and density at non rapid eye movement (REM) sleep stage 2. Results: Slow sleep spindle's amplitude, duration, density and activity are significantly higher in ADHD group (most significant in ADHD-I) than the HC group (p < 0,05). Sleep spindle's features are not statistically significant between in ADHD subgroups. Conclusions: In children with ADHD, slow sleep spindles showed higher amplitude, activity, density and duration in the frontal regions. These results indicate that slow sleep spindles in children with ADHD may reflect executive dysfunction and slow frontal spindles may be useful as a new electrographic marker in children with ADHD. This is the first study of its kind evaluating all aspects of sleep spindles in ADHD patients.
1,954
CRISPR Activation/Interference Screen to Identify Genetic Networks in HDAC-Inhibitor-Resistant Cells
Epigenetic alterations have been identified in various tumor types. In part, these alterations are mediated via increased histone deacetylase activity. Although preclinical results of monotherapies with histone deacetylase inhibitors (HDACi) are promising, success in clinical trials is limited. Reasons for these limitations may be de novo or acquired resistance to HDAC inhibitors that could be overcome with rational combination therapies. This requires knowledge of resistance mechanism along with the involved genetic networks. One way to identify such genetic networks is the implementation of a CRISPR-based technology allowing transcriptional repression (CRISPRi) and activation (CRISPRa) at a genome-wide scale. We describe a simple approach to amplify and validate sgRNA libraries, generate a myeloid progenitor cell line expressing catalytically dead Cas9 (dCas9) fusion proteins with transcriptional effectors to repress or activate genetic regions of interest and demonstrate a complementary genome-wide HDACi resistance screening approach. Furthermore, we present bioinformatics tools for quality control and analysis of the sequencing data.
1,955
[Study on Clear Optic Evaluation Method of Intraocular Lenses]
The study explored the methods of determining the diameter of clear optic of intraocular lenses by analyzing the design principles and influencing factors of clear optic. Measure and compare the clear optic diameters of intraocular lenses from -10.0 D to 36.0 D respectively. The measurement results of the two methods have good consistency and can be used in the measurement of clear optic. But considering the accuracy and convenience of actual measurement, profile projector measurement principle is more suitable for conventional mass production testing. The Schlieren technique method can provide more useful information in product development and feature description stage, and can be used as an auxiliary verification method for clear optic diameter measurement.
1,956
Purification, characterization of an entomopathogenic fungal lectin from Purpureocillium lilacinum and its involvement in pathogenesis leading to mycotic keratitis
A lectin PCL, from Purpureocillium lilacinum a saprophytic, filamentous fungus was purified from the crude extract of the mycelia using 70% ammonium sulphate precipitation followed by affinity chromatography on mucin-Sepharose 4 B column. PCL is a monomer with an apparent molecular mass of 18.5 kDa as revealed by SDS-PAGE under both reducing and non-reducing conditions. PCL is a blood group non-specific lectin and has highest affinity towards chitin, mucin, asialomucin, fetuin with a MIC of 0.15 µg/mL and also recognizes L-fucose, galactose, lactose, N-acetyl galactosamine, hyaluronic acid. PCL is stable up to 60 °C and within the pH range 4-8. To understand its role in pathogenesis, effect of PCL was evaluated on human corneal epithelial cells (HCECs). PCL showed strong glycan mediated binding to HCECs and PCL showed proinflammatory response at lower concentrations by stimulating secretion of IL-6, 8. In contrast PCL at higher concentrations revealed opposite effect of HCECs growth inhibition. All these results collectively support the involvement of PCL in mediating host pathogen interactions possibly leading to pathogenesis. In addition, considering the entomopathogenic effect of Purpureocillium lilacinum, PCL may be attributed for this beneficiary effect, which needs to be explored.
1,957
Individualized Statistical Modeling of Lesions in Fundus Images for Anomaly Detection
Anomaly detection in fundus images remains challenging due to the fact that fundus images often contain diverse types of lesions with various properties in locations, sizes, shapes, and colors. Current methods achieve anomaly detection mainly through reconstructing or separating the fundus image background from a fundus image under the guidance of a set of normal fundus images. The reconstruction methods, however, ignore the constraint from lesions. The separation methods primarily model the diverse lesions with pixel-based independent and identical distributed (i.i.d.) properties, neglecting the individualized variations of different types of lesions and their structural properties. And hence, these methods may have difficulty to well distinguish lesions from fundus image backgrounds especially with the normal personalized variations (NPV). To address these challenges, we propose a patch-based non-i.i.d. mixture of Gaussian (MoG) to model diverse lesions for adapting to their statistical distribution variations in different fundus images and their patch-like structural properties. Further, we particularly introduce the weighted Schatten p-norm as the metric of low-rank decomposition for enhancing the accuracy of the learned fundus image backgrounds and reducing false-positives caused by NPV. With the individualized modeling of the diverse lesions and the background learning, fundus image backgrounds and NPV are finely learned and subsequently distinguished from diverse lesions, to ultimately improve the anomaly detection. The proposed method is evaluated on two real-world databases and one artificial database, outperforming the state-of-the-art methods.
1,958
An efficient approach for sub-image separation from large-scale multi-panel images using dynamic programming
Multi-panel images are increasingly used in research and medical domains for describing complicated situations like results' comparison in paper; or case depiction of a patient by combining all his medical images into a consolidated image. However, the content based image retrieval (CBIR) systems face the issue of performance decline in terms of poor retrieval accuracy because the individual sub-images of the multi-panel images cannot be accessed during the searching process. Representing multi-panel images in the form of sub-images is a necessary step for improving the retrieval accuracy of CBIR systems. The state-of-the-art multi-panel image segmentation approaches use recursive approach for sub-image separation, which detects the location of the sub-lines of a line in the multi-panel image appearing in its sub-images repeatedly. This characteristic of the available approaches makes the CBIR incapable to provide the intended results to the end users in real time. In this work, a line detection-based method using dynamic programming is proposed for sub-image separation, which detects the position of every line in the multi-panel image only once, instead of several times as in the case of state-of-art approaches. We evaluated the proposed method on a subset of the imageCLEFmed 2013 dataset, containing 1050 images belonging to different groups. The experimental results depict the effectiveness of the proposed method in term of generating the results quickly without losing the accuracy as compare to the state-of-the-art approaches.
1,959
Incremental learning of human activity models from videos
Learning human activity models from streaming videos should be a continuous process as new activities arrive over time. However, recent approaches for human activity recognition are usually batch methods, which assume that all the training instances are labeled and present in advance. Among such methods, the exploitation of the inter-relationship between the various objects in the scene (termed as context) has proved extremely promising. Many state-of-the-art approaches learn human activity models continuously but do not exploit the contextual information. In this paper, we propose a novel framework that continuously learns both of the appearance and the context models of complex human activities from streaming videos. We automatically construct a conditional random field (CRF) graphical model to encode the mutual contextual information among the activities and the related object attributes. In order to reduce the amount of manual labeling of the incoming instances, we exploit active learning to select the most informative training instances with respect to both of the appearance and the context models to incrementally update these models. Rigorous experiments on four challenging datasets demonstrate that our framework outperforms state-of-the-art approaches with significantly less amount of manually labeled data. (C) 2015 Elsevier Inc. All rights reserved.
1,960
Multifeature Object Trajectory Clustering for Video Analysis
We present a novel multifeature video object trajectory clustering algorithm that estimates common patterns of behaviors and isolates outliers. The proposed algorithm is based on four main steps, namely the extraction of a set of representative trajectory features, non-parametric clustering, cluster merging and information fusion for the identification of normal and rare object motion patterns. First we transform the trajectories into a set of feature spaces on which mean-shift identifies the modes and the corresponding clusters. Furthermore, a merging procedure is devised to refine these results by combining similar adjacent clusters. The final common patterns are estimated by fusing the clustering results across all feature spaces. Clusters corresponding to reoccurring trajectories are considered as normal, whereas sparse trajectories are associated to abnormal and rare events. The performance of the proposed algorithm is evaluated on standard data-sets and compared with state-of-the-art techniques. Experimental results show that the proposed approach outperforms state-of-the-art algorithms both in terms of accuracy and robustness in discovering common patterns in video as well as in recognizing outliers.
1,961
Multilevel Converters: An Enabling Technology for High-Power Applications
Multilevel converters are considered today as the state-of-the-art power-conversion systems for high-power and power-quality demanding applications. This paper presents a tutorial on this technology, covering the operating principle and the different power circuit topologies, modulation methods, technical issues and industry applications. Special attention is given to established technology already found in industry with more in-depth and self-contained information, while recent advances and state-of-the-art contributions are addressed with useful references. This paper serves as an introduction to the subject for the not-familiarized reader, as well as an update or reference for academics and practicing engineers working in the field of industrial and power electronics.
1,962
Low-Dimensional Shaping for High-Dimensional Lattice Codes
We propose two low-complexity lattice code constructions that have competitive coding and shaping gains. The first construction, named systematic Voronoi shaping, maps short blocks of integers to the dithered Voronoi integers, which are dithered integers that are uniformly distributed over the Voronoi region of a low-dimensional shaping lattice. Then, these dithered Voronoi integers are encoded using a high-dimensional lattice retaining the same shaping and coding gains of low-and high-dimensional lattices. A drawback to this construction is that there is no isomorphism between the underlying message and the lattice code, preventing its use in applications such as compute-and-forward. Therefore, we propose a second construction, called mixed nested lattice codes, in which a high-dimensional coding lattice is nested inside a concatenation of low-dimensional shaping lattices. This construction not only retains the same shaping/coding gains as first construction but also provides the desired algebraic structure. We numerically study these methods, for point-to-point channels as well as compute-and-forward using low-density lattice codes as coding lattices and E-8 and Barnes-Wall as shaping lattices. Numerical results indicate a shaping gain of up to 0.86 dB, compared with the state-of-the-art of 0.4 dB; furthermore, the proposed method has lower complexity than the state-of-the-art approaches.
1,963
Clinicopathological Challenges in Tumors of the Nasal Cavity and Paranasal Sinuses: Our Experience
Background and objective Nasal and paranasal lesions are one of the most common otorhinolaryngological presentations encountered in clinical practice. Common presenting symptoms of these lesion range from nasal blockades, facial swellings, pain, nasal discharge, and epistaxis to orbital and ear symptoms. Diagnosis can be tricky as these symptoms are common in inflammatory conditions and tumors. The aim of our study was to observe the epidemiology and clinical pathological findings in patients with nasal and paranasal masses presenting to our institute and discuss the challenges in proper diagnosis and management due to similar presentations, and the role of histopathological examination (HPE) and immunohistochemistry (IHC) in overcoming these challenges. Methods The IPD records of 396 patients were taken up for the study. All the specimens were sent in 10% neutral buffered formalin for examination as biopsy for diagnosis or after surgical excision. After adequate fixation, the biopsy specimen was submitted for routine processing, followed by paraffin embedding, and stained with hematoxylin and eosin (H&E). Special stains like periodic acid-Schiff (PAS) and Ziehl-Neelsen (ZN) stains for acid-fast bacilli (AFB) were used as required. IHC was performed in the required samples. IHC markers were performed on representative paraffin-embedded sections according to the streptavidin-biotin immunoperoxidase technique as needed. The findings were noted, and histology was correlated with clinical presentations and investigations, tabulated, and statistically analyzed using SPSS Statistics (IBM, Armonk, NY). Results Of note, 67.92%% were non-neoplastic lesions whereas 18.18% came out to be benign neoplasms and 13.88% were malignant lesions on HPE. Nasal obstruction was the most common presenting symptom (73.23% of patients) followed by nasal mass (64.14% of cases). Inflammatory sinonasal polyps were the most prominent cases in our study, accounting for 41.16% of all lesions; 18.68% fungal RS (mucormycosis) were seen in our study and 4.54% were cases of juvenile nasopharyngeal angiofibroma (JNA). The majority of benign neoplasms encountered were Schneiderian papilloma or inverted papilloma (06.81%). Eighteen (4.54%) cases of squamous cell carcinomas (SCC) were seen in our study and 2.77% (n=11) cases were of adenoid cystic carcinoma. Of 18 cases of SCC, moderately differentiated SCC carcinoma accounted for 10 cases followed by poorly differentiated SCC (5/18) and nonkeratinizing SCC (3/18). IHC for p40 was performed in all the cases of nonkeratinizing SCC, which showed strong and diffuse nuclear positivity. Conclusion The nasal cavity is the site of the most varied presentation of tumors in the upper respiratory tract. Mass in the nose and paranasal sinus (PNS) form a heterogeneous group of lesions with varied histopathological features. The proximity of the area to the eyes and brain warrants early definitive diagnosis so that the lesion is treated before it can involve important and vital centers. Even though malignant nasal tumors have a very low incidence, they cause a lot of morbidity due to their long course and frequent local recurrences. Nasal tumors tend to become polypoidal. Epithelioid papilloma of the nasal cavity often resembles a nasal polyp. Clinical diagnosis can be challenging due to similar presentations and appearances, and hence histological examination is a vital tool for the timely diagnosis of such patients.
1,964
Improved Computational Efficiency of Locally Low Rank MRI Reconstruction Using Iterative Random Patch Adjustments
This paper presents and analyzes an alternative formulation of the locally low-rank (LLR) regularization framework formagnetic resonance image (MRI) reconstruction. Generally, LLR-based MRI reconstruction techniques operate by dividing the underlying image into a collection of matrices formed from image patches. Each of these matrices is assumed to have low rank due to the inherent correlations among the data, whether along the coil, temporal, or multi-contrast dimensions. The LLR regularization has been successful for various MRI applications, such as parallel imaging and accelerated quantitative parameter mapping. However, a major limitation of most conventional implementations of the LLR regularization is the use of multiple sets of overlapping patches. Although the use of overlapping patches leads to effective shift-invariance, it also results in high-computational load, which limits the practical utility of the LLR regularization for MRI. To circumvent this problem, alternative LLR-based algorithms instead shift a single set of non-overlapping patches at each iteration, thereby achieving shift-invariance and avoiding block artifacts. A novel contribution of this paper is to provide a mathematical framework and justification of LLR regularization-with iterative random patch adjustments (LLR-IRPA). This method is compared with a state-of-the-art LLR regularization algorithm based on overlapping patches, and it is shown experimentally that results are similar but with the advantage of much reduced computational load. We also present theoretical results demonstrating the effective shift invariance of the LLR-IRPA approach, and we show reconstruction examplesand comparisons in both retrospectively and prospectively undersampled MRI acquisitions, and in T1 parameter mapping.
1,965
Laser beam machining (LBM), state of the art and new opportunities
An overview is given of the state of the art of laser beam machining in general with special emphasis on applications of short and ultrashort lasers. In laser welding the trend is to apply optical sensors for process control. Laser surface treatment is mostly used to apply corrosion and wear resistant layers, but also for repair of engine and machine parts. In micro-machining, shorter pulses reduce heat-affected damage of the material and opens new ways for nanometer accuracy. Even 40 years after the development of the laser there is a lot of effort in developing new and better performing lasers. The driving force is higher accuracy at reasonable cost, which is realised by compact systems delivering short laser pulses of high beam quality. Another trend is the shift towards shorter wavelengths, which are better absorbed by the material and which allows smaller feature sizes to be produced. Examples of new products, which became possible by this technique, are given. The trends in miniaturisation as predicted by Moore and Taniguchi are expected to continue over the next decade too thanks to short and ultrashort laser machining techniques. (C) 2004 Elsevier B.V. All rights reserved.
1,966
Intense long-term training impairs brain health compared with moderate exercise: Experimental evidence and mechanisms
The consequences of extremely intense long-term exercise for brain health remain unknown. We studied the effects of strenuous exercise on brain structure and function, its dose-response relationship, and mechanisms in a rat model of endurance training. Five-week-old male Wistar rats were assigned to moderate (MOD) or intense (INT) exercise or a sedentary (SED) group for 16 weeks. MOD rats showed the highest motivation and learning capacity in operant conditioning experiments; SED and INT presented similar results. In vivo MRI demonstrated enhanced global and regional connectivity efficiency and clustering as well as a higher cerebral blood flow (CBF) in MOD but not INT rats compared with SED. In the cortex, downregulation of oxidative phosphorylation complex IV and AMPK activation denoted mitochondrial dysfunction in INT rats. An imbalance in cortical antioxidant capacity was found between MOD and INT rats. The MOD group showed the lowest hippocampal brain-derived neurotrophic factor levels. The mRNA and protein levels of inflammatory markers were similar in all groups. In conclusion, strenuous long-term exercise yields a lesser improvement in learning ability than moderate exercise. Blunting of MOD-induced improvements in CBF and connectivity efficiency, accompanied by impaired mitochondrial energetics and, possibly, transient local oxidative stress, may underlie the findings in intensively trained rats.
1,967
Ensembles of Patch-Based Classifiers for Diagnosis of Alzheimer Diseases
There is ongoing research for the automatic diagnosis of Alzheimer's disease (AD) based on traditional machine learning techniques, and deep learning-based approaches are becoming a popular choice for AD diagnosis. The state-of-the-art techniques that consider multimodal diagnosis have been shown to have accuracy better than a manual diagnosis. However, collecting data from different modalities is time-consuming and expensive, and some modalities may have radioactive side effects. Our study is confined to structural magnetic resonance imaging (sMRI). The objectives of our attempt are as follows: 1) to increase the accuracy level that is comparable to the state-of-the-art methods; 2) to overcome the overfitting problem, and; 3) to analyze proven landmarks of the brain that provide discernible features for AD diagnosis. Here, we focused specifically on both the left and right hippocampus areas. To achieve the objectives, at first, we incorporate ensembles of simple convolutional neural networks (CNNs) as feature extractors and softmax cross-entropy as the classifier. Then, considering the scarcity of data, we deployed a patch-based approach. We have performed our experiment on the Gwangju Alzheimer's and Related Dementia (GARD) cohort dataset prepared by the National Research Center for Dementia (GARD), Gwangju, South Korea. We manually localized the left and right hippocampus and fed three view patches (TVPs) to the CNN after the preprocessing steps. We achieve 90.05% accuracy. We have compared our model with the state-of-the-art methods on the same dataset they have used and found our result comparable.
1,968
Fast and Accurate Cardinality Estimation by Self-Morphing Bitmaps
Estimating the cardinality of a data stream is a fundamental problem underlying numerous applications such as traffic monitoring in a network or a datacenter and query optimization of Internet-scale P2P data networks. Existing solutions suffer from high processing/query overhead or memory in-efficiency, which prevents them from operating online for data streams with very high arrival rates. This paper takes a new solution path different from the prior art and proposes a self-morphing bitmap, which combines operational simplicity with structural dynamics, allowing the bitmap to be morphed in a series of steps with an evolving sampling probability that automatically adapts to different stream sizes. We further generalize the design of self-morphing bitmap. We evaluate the self-morphing bitmap theoretically and experimentally. The results demonstrate that it significantly outperforms the prior art.
1,969
The impact of targeted ablation of one row of outer hair cells and Deiters' cells on cochlear amplification
The mammalian cochlea contains three rows of outer hair cells (OHCs) that amplify the basilar membrane traveling wave with high gain and exquisite tuning. The pattern of OHC loss caused by typical methods of producing hearing loss in animal models (noise, ototoxic exposure, or aging) is variable and not consistent along the length of the cochlea. Thus, it is difficult to use these approaches to understand how forces from multiple OHCs summate to create normal cochlear amplification. Here, we selectively removed the third row of OHCs and Deiters' cells in adult mice and measured cochlear amplification. In the mature cochlear epithelia, expression of the Wnt target gene Lgr5 is restricted to the third row of Deiters' cells, the supporting cells directly underneath the OHCs. Diphtheria toxin administration to Lgr5DTR-EGFP/+ mice selectively ablated the third row of Deiters' cells and the third row of OHCs. Basilar membrane vibration in vivo demonstrated disproportionately lower reduction in cochlear amplification by about 13.5 dB. On a linear scale, this means that the 33% reduction in OHC number led to a 79% reduction in gain. Thus, these experimental data describe the impact of reducing the force of cochlear amplification by a specific amount. Furthermore, these data argue that because OHC forces progressively and sequentially amplify the traveling wave as it travels to its peak, the loss of even a relatively small number of OHCs, when evenly distributed longitudinally, will cause a substantial reduction in cochlear amplification.NEW & NOTEWORTHY Normal cochlear physiology involves force production from three rows of outer hair cells to amplify and tune the traveling wave. Here, we used a genetic approach to target and ablate the third row of outer hair cells in the mouse cochlea and found it reduced cochlear amplification by 79%. This means that the loss of even a relatively small number of OHCs, when evenly distributed, causes a substantial reduction in cochlear amplification.
1,970
Design Methodology to Explore Hybrid Approximate Adders for Energy-Efficient Image and Video Processing Accelerators
This paper proposes a new design methodology to explore the state-of-the-art approximate adders for accelerator architectures conceived in the realm of multiplier-less multiple constant multiplication optimization problem. The proposed methodology is composed of: 1) a search heuristic to seek faster and feasible approximate configurations for the architectures under evaluation; 2) low-power techniques regarding hybrid approximate adders design for accelerators based on trees of shift-and-add operations; 3) high-performance evaluation by exploring parallel prefix adders and low power analysis through the use of the adder optimized by a commercial synthesis tool in the precise part of the approximate adders; and 4) energy efficiency analysis by considering both the approximate techniques and voltage over scaling estimation. Furthermore, improvements are proposed for the state-of-the-art approximate adders under evaluation in this paper. Two case studies are considered to assess the proposed methodology: 1) Gaussian image filter and 2) Sobel operator. The precise and approximate image filters were described in very high-speed integrated circuits hardware description language regarding the proposed methodology. Results are shown after synthesis to a 45-nm standard cell-based technology, where energy reductions ranging from 7.7% up to 73.2% were experienced for multiple levels of quality considering the applications under analysis.
1,971
Light-Weight Deformable Registration Using Adversarial Learning With Distilling Knowledge
Deformable registration is a crucial step in many medical procedures such as image-guided surgery and radiation therapy. Most recent learning-based methods focus on improving the accuracy by optimizing the non-linear spatial correspondence between the input images. Therefore, these methods are computationally expensive and require modern graphic cards for real-time deployment. In this paper, we introduce a new Light-weight Deformable Registration network that significantly reduces the computational cost while achieving competitive accuracy. In particular, we propose a new adversarial learning with distilling knowledge algorithm that successfully leverages meaningful information from the effective but expensive teacher network to the student network. We design the student network such as it is light-weight and well suitable for deployment on a typical CPU. The extensively experimental results on different public datasets show that our proposed method achieves state-of-the-art accuracy while significantly faster than recent methods. We further show that the use of our adversarial learning algorithm is essential for a time-efficiency deformable registration method. Finally, our source code and trained models are available at https://github.com/aioz-ai/LDR_ALDK.
1,972
Identification of risk genes in Chinese nonobstructive azoospermia patients based on whole-exome sequencing
Nonobstructive azoospermia (NOA) is a severe condition in infertile men, and increasing numbers of causative genes have been identified during the last few decades. Although certain causative genes can explain the presence of NOA in some patients, a proportion of NOA patients remain to be addressed. This study aimed to investigate potential high-risk genes associated with spermatogenesis in idiopathic NOA patients by whole-exome sequencing. Whole-exome sequencing was performed in 46 male patients diagnosed with NOA. First, screening was performed for 119 genes known to be related to male infertility. Next, further screening was performed to determine potential high-risk causative genes for NOA by comparisons with 68 healthy male controls. Finally, risk genes with high/specific expression in the testes were selected and their expression fluctuations during spermatogenesis were graphed. The frequency of cystic fibrosis transmembrane conductance regulator (CFTR) gene pathogenic variant carriers was higher in the NOA patients compared with the healthy controls. Potential risk genes that may be causes of NOA were identified, including seven genes that were highly/specifically expressed in the testes. Four risk genes previously reported to be involved in spermatogenesis (MutS homolog 5 [MSH5], cilia- and flagella-associated protein 54 [CFAP54], MAP7 domain containing 3 [MAP7D3], and coiled-coil domain containing 33 [CCDC33]) and three novel risk genes (coiled-coil domain containing 168 [CCDC168], chromosome 16 open reading frame 96 [C16orf96], and serine protease 48 [PRSS48]) were identified to be highly or specifically expressed in the testes and significantly different in the 46 NOA patients compared with 68 healthy controls. This study on clinical NOA patients provides further evidence for the four previously reported risk genes. The present findings pave the way for further functional investigations and provide candidate risk genes for genetic diagnosis of NOA.
1,973
Computational modeling of redox enzymes
A computational methodology is briefly described, which appears to be able to accurately describe the mechanisms of redox active enzymes. The method is built on hybrid density functional theory where the inclusion of a fraction of exact exchange is critical. Two examples of where the methodology has been applied are described. The first example is the mechanism for water oxidation in photosystem II, and the second one is the mechanism for N2 activation by nitrogenase. The mechanism for PSII has obtained very strong support from subsequent experiments. For nitrogenase, the calculations suggest that there should be an activation process prior to catalysis, which is still strongly debated.
1,974
Absorption mechanism and performance characterization of CuO nanostructured absorbers
We introduce copper oxide (CuO) nanostructured selective solar absorbers having a broadband solar absorption over visible to near infrared wavelengths while suppressing long wavelength emission. The detailed mechanism enabling the enhanced solar absorption was investigated using the finite-difference-time-domain (FDTD) simulations. Both indoor and outdoor solar absorption experiments were conducted to investigate the performance of the suggested absorber in a well-controlled and actual operating conditions, respectively. The combined effects of the suggested absorber and double-glazing layout were also investigated. The results show that the sharp morphology of the CuO structures and its random size distribution enable the enhanced broadband optical absorption, and the resulting performance was measured to be approximately 95% and 97% of that of the current state-of-the-art TiNOX absorber for single and double glazing case, respectively. The suggested absorbers can provide a near-equivalent performance with the current-state-of-the-art solar absorber with much simpler and faster fabrication process. Furthermore, the numerical and experimental frameworks provided in this study will help develop high efficiency solar collectors.
1,975
Profile of HIV-Infected Hispanics with Pancytopenia
Pancytopenia is seen in late HIV infection; it is associated with medical complications and with decreased survival. We determined the prevalence of pancytopenia at baseline in a cohort of HIV-positive Hispanics living in Puerto Rico, and compared their socio-demographic, immunological and clinical characteristics. A total of 1202 patients enrolled between 2000 and 2010 were included. They were grouped according to pancytopenia status, defined by having: platelets <150,000 mu L, white cell count <4000 mu L, and hemoglobin <12 g/dL (women) or <13 g/dL (men). Differences were evaluated using Student's t-test, Chi-square test and Kaplan-Meier method. The prevalence of pancytopenia was 8.7%. Patients with pancytopenia had lower BMI and lower CD4 count, as well as higher HIV viral load and higher proportions of unemployment, clinical AIDS and antiretroviral treatment (ART) use (p < 0.05). One-year mortality rate was significantly higher in patients with pancytopenia (18.1% vs. 5.1%, p < 0.001). When stratifying for ART this association persisted for patients who did not receive ART (41.4% vs. 5.2%, p < 0.001), but it was not seen in patients who received treatment (9.2% vs. 5.6%, p = 0.196). Pancytopenia was associated with elements of advanced stages of HIV. ART could reduce the mortality of HIV-patients with pancytopenia to levels comparable to patients without the disorders.
1,976
Cloning and characterization of Aedes aegypti juvenile hormone epoxide hydrolases (JHEHs)
Juvenile hormone epoxide hydrolase (JHEH) plays an important role in the metabolism of juvenile hormone III (JH III) in insects. To study the role that JHEH plays in female Aedes aegypti JHEH 1, 2, and 3 complementary DNA (cDNAs) were cloned and sequenced. Northern blot analyses show that the three transcripts are expressed in the head thorax, the gut, the ovaries, and the fat body of females. Molecular modeling shows that the enzyme is a homodimer that binds JH III acid (JH IIIA) at the catalytic groove better than JH III. The cDNA of JHEH 1 and 2 are very similar indicating close relationship. Knocking down of jheh 1, 2, and 3 in adult female and larval Ae. aegypti using double-stranded RNA (dsRNA) did not affect egg development or caused adult mortality. Larvae that were fed bacterial cells expressing dsRNA against jheh 1, 2, and 3 grew normally. Treating blood-fed female Ae. aegypti with [12-3 H](10R) JH III and analyzing the metabolites by C18 reversed phase chromatography showed that JHEH preferred substrate is not JH III but JH IIIA. Genomic analysis of jheh 1, 2, and 3 indicate that jheh 1 and 2 are transcribed from a 1.53 kb DNA whereas jheh 3 is transcribed from a 10.9 kb DNA. All three genes are found on chromosome two at distinct locations. JHEH 2 was expressed in bacterial cells and purified by Ni affinity chromatography. Sequencing of the recombinant protein by MS/MS identified JHEH 2 as the expressed recombinant protein.
1,977
HEAP: An Efficient and Fault-Tolerant Authentication and Key Exchange Protocol for Hadoop-Assisted Big Data Platform
Hadoop framework has been evolved to manage big data in cloud. Hadoop distributed file system and MapReduce, the vital components of this framework, provide scalable and fault-tolerant big data storage and processing services at a lower cost. However, Hadoop does not provide any robust authentication mechanism for principals' authentication. In fact, the existing state-of-the-art authentication protocols are vulnerable to various security threats, such as man-in-the-middle, replay, password guessing, stolen-verifier, privileged-insider, identity compromization, impersonation, denial-of-service, online/off-line dictionary, chosen plaintext, workstation compromization, and server-side compromisation attacks. Beside these threats, the state-of-the-art mechanisms lack to address the server-side data integrity and confidentiality issues. In addition to this, most of the existing authentication protocols follow a single-server-based user authentication strategy, which, in fact, originates single point of failure and single point of vulnerability issues. To address these limitations, in this paper, we propose a fault-tolerant authentication protocol suitable for the Hadoop framework, which is called the efficient authentication protocol for Hadoop (HEAP). HEAP alleviates the major issues of the existing state-of-the-art authentication mechanisms, namely operatingsystem-based authentication, password-based approach, and delegated token-based schemes, respectively, which are presently deployed in Hadoop. HEAP follows two-server-based authentication mechanism. HEAP authenticates the principal based on digital signature generation and verification strategy utilizing both advanced encryption standard and elliptic curve cryptography. The security analysis using both the formal security using the broadly accepted real-or-random (ROR) model and the informal (non-mathematical) security shows that HEAP protects several well-known attacks. In addition, the formal security verification using the widely used automated validation of Internet security protocols and applications ensures that HEAP is resilient against replay and man-in-the-middle attacks. Finally, the performance study contemplates that the overheads incurred in HEAP is reasonable and is also comparable to that of other existing state-of-theart authentication protocols. High security along with comparable overheads makes HEAP to be robust and practical for a secure access to the big data storage and processing services.
1,978
Label-free and de-conjugation-free workflow to simultaneously quantify trace amount of free/conjugated and protein-bound estrogen metabolites in human serum
Different chemical forms of sex hormones including free/conjugated metabolites as well as their protein/DNA adducts in human serum are a panel of important indicators of health conditions. It is, however, hard to quantify all species simultaneously due to the lack of general extraction, derivatization, and de-conjugation methods. Here we developed a label-free and de-conjugation-free workflow to quantify 11 free/conjugated estrogen metabolites including depurinating DNA and protein adduct forms of 4-hydroxyestradiol (4OHE2) in human serum. Acetonitrile acts as an excellent solvent to purify adducted and non-adducted human serum albumin (HSA) by precipitation as well as to extract free/conjugated metabolites and depurinating DNA adducts from the supernatant by salting-out effect. The adduction level of 4OHE2 on HSA was determined by proteomics; free/conjugated metabolites were quantified by a newly developed microflow liquid chromatography (microflow LC)-nanoelectrospray ionization (nanoESI)-multiple reaction monitoring (MRM) method with high reproducibility (7-22% RSD, n > 3) and sub-picogram levels (0.6-20 pg/mL) of quantification limits (S/N = 8) by using non-pulled capillary as nano-ESI emitter. This workflow was demonstrated to reveal endogenous adduction level of 4OHE2 on HSA as well as circulation levels of free/conjugated metabolites in clinical samples. 4OHE2 in human serum were solely detected as protein-bound form, indicating the merit of such integrated platform covering unstable or active metabolites. Compared to traditional methods using labeling or de-conjugation reaction, this workflow is much simplier, more sensitive, and more specific. Moreover, it can be widely applied in omics to concurrently access various bio-transformed known and un-known markers or drugs.
1,979
Is Denoising Dead?
Image denoising has been a well studied problem in the field of image processing. Yet researchers continue to focus attention on it to better the current state-of-the-art. Recently proposed methods take different approaches to the problem and yet their denoising performances are comparable. A pertinent question then to ask is whether there is a theoretical limit to denoising performance and, more importantly, are we there yet? As camera manufacturers continue to pack increasing numbers of pixels per unit area, an increase in noise sensitivity manifests itself in the form of a noisier image. We study the performance bounds for the image denoising problem. Ourwork in this paper estimates a lower bound on the mean squared error of the denoised result and compares the performance of current state-of-the-art denoising methods with this bound. We show that despite the phenomenal recent progress in the quality of denoising algorithms, some room for improvement still remains for a wide class of general images, and at certain signal-to-noise levels. Therefore, image denoising is not dead-yet.
1,980
A Cost-Effective Fault Tolerance Technique for Functional TSV in 3-D ICs
Regular and redundant through-silicon via (TSV) interconnects are used in fault tolerance techniques of 3-D IC. However, the fabrication process of TSVs results in defects that reduce the yield and reliability of TSVs. On the other hand, each TSV is associated with a significant amount of on-chip area overhead. Therefore, unlike the state-of-the-art fault tolerance architectures, here we propose the time division multiplexing access (TDMA)-based fault tolerance technique without using any redundant TSVs, which reduces the area overhead and enhances the yield. In the proposed technique, by means of TDMA, we reroute the signal through defect-free TSV. Subsequently, an architecture based on the proposed technique has been designed, evaluated, and validated on logic-on-logic 3-D IWLS'05 benchmark circuits using 130-nm technology node. The proposed technique is found to reduce the area overhead by 28.70%-40.60%, compared to the state-of-the-art architectures and results in a yield of 98.9%-99.8%.
1,981
Algorithm and VLSI Architecture Design of Low-Power SPIHT Decoder for mHealth Applications
A real-time cost and power-efficient (CPE) set partitioning in hierarchical trees (SPIHT) decoder design with low hardware complexity and low-power dissipation is introduced in one-dimension (1-D) wavelet-based quality-assured electrocardiograph (ECG) compression systems for mobile health (mHealth) applications. However, current SPIHT coding architectures are designed for image/video processing. These architectures require a large amount of memory as well as complicated sorting algorithms, which both require time-consuming tasks and are unsuitable for mobile ECG applications. Based on our previously modified SPIHT coding work, which used flags and check bits to reduce memory requirements and coding complexity by merging three search processes into one step. Therefore, to achieve the real-time design goal for mobile ECG applications, in this paper, we first introduce a hardware-oriented SPIHT decoding algorithm that is suitable for decoding the previously presented SPIHT codingwork. Accordingly, an appropriate low-power hardware architecture is developed to implement a real-time high-performance and low-cost SPIHT VLSI design for our proposed decoder algorithm, which is appropriate for mobile ECG applications. Using the distinct ECG signals in the MIT-BIH arrhythmia database (sampling rate of 360 Hz), the final simulation and VLSI implementation results reveal that the proposed CPE SPIHT decoder design outperforms the state-of-the-art designs in terms of the average decoding time, the decoding quality, the VLSI speed, and the power consumption. Most importantly, the design can be exploited to a 1-D 1024 x 1 wavelet-based quality-assured ECG data compression system.
1,982
Adversarial Learning Approach to Unsupervised Labeling of Fine Art Paintings
An automatic classification of fine art images is limited by the scarcity of high-quality labels made by art experts. This study aims to provide meaningful automatic labeling of fine art paintings (machine labeling) without the need for human annotation. A new unsupervised Adversarial Clustering System (ACS) is proposed. The ACS is an adversarial learning approach comprising an unsupervised clustering module generating machine labels and a supervised classification module classifying the data based on the machine labels. Both modules are linked through an optimization algorithm iteratively improving the unsupervised clusters. The objective function driving the improvement consists of the within-cluster sum of squares (WCSS) error and the supervised classification accuracy. The proposed method was tested on three different fine-art datasets, including two sets of paintings previously categorized by art experts and one never categorized collection of Australian Aboriginal paintings. The unsupervised clusters were analyzed using standard unsupervised clustering metrics and a reliability measure between machine and human labeling. The ACS showed higher reliability compared to the classical k-means clustering method. The content analysis of unsupervised clusters indicated grouping based on scene composition, type, and shape of the object, edge sharpness and direction, and color palette.
1,983
Advanced Covalent Organic Frameworks for Multi-Valent Metal Ion Batteries
Covalent organic frameworks (COFs) have received increased interest in recent years as an advanced class of materials. By virtue of the available monomers, multiple conformations and various linkages, COFs offer a wide range of opportunities for complex structural design and specific functional development of materials, which has facilitated the widespread application in many fields, including multi-valent metal ion batteries (MVMIBs), described as the attractive candidate replacing lithium-ion batteries (LIBs). With their robust skeletons, diverse pores, flexible structures and abundant functional groups, COFs are expected to help realize a high performance MVMIBs. In this review, we present an overview of COFs, describe advances in topology design and synthetic reactions, and study the application of COFs in MVMIBs, as well as discuss challenges and solutions in the preparation of COFs electrodes, in the hope of providing constructive insights into the future direction of COFs.
1,984
State-of-the-art, challenges, and future trends in security constrained optimal power flow
This paper addresses the main challenges to the security constrained optimal power flow (SCOPF) computations. We first discuss the issues related to the SCOPF problem formulation such as the use of a limited number of corrective actions in the post-contingency states and the modeling of voltage and transient stability constraints. Then we deal with the challenges to the techniques for solving the SCOPF, focusing mainly on: approaches to reduce the size of the problem by either efficiently identifying the binding contingencies and including only these contingencies in the SCOPF or by using approximate models for the post-contingency states, and the handling of discrete variables. We finally address the current trend of extending the SCOPF formulation to take into account the increasing levels of uncertainty in the operation planning. For each such topic we provide a review of the state of the art, we identify the advances that are needed, and we indicate ways to bridge the gap between the current state of the art and these needs. (C) 2011 Elsevier B.V. All rights reserved.
1,985
In vivo evaluation of analgesic and anti-inflammatory activity of hydroalcoholic extracts from Handroanthus impetiginosus and their chemical composition by UPLC/MS analysis
This study demonstrates in vivo analgesic and anti-inflammatory properties of hydroalcoholic extracts of leaves, bark and flowers from the Handroanthus impetiginosus (Bignoniaceae) plant, recognized as 'Ipê roxo' in Brazil. The extracts were evaluated in male Swiss albino mice via oral administration. Moreover, results of the in vivo paw oedema test induced by carrageenan revealed that extracts of leaves and bark displayed relevant anti-inflammatory activity potential at the dosage of 100 mg/kg, 300 mg/kg, and 500 mg/kg. Likewise, the results obtained for leaves and flowers extracts suggested potent analgesic action in the conventional hot plate test. UPLC/MS analysis of the hydroalcoholic extracts samples identified metabolites belonging to several classes, mainly naphthoquinones and iridoids derivatives as well as flavonoids. Thus, the obtained results indicate that the extracts of H. impetiginosus plant parts could be considered as a complementary herbal medicine for the treatment of pain and inflammation disorders.
1,986
Evaluation of graphite and TiO2 as susceptors for microwave dewaxing in ceramic shell casting processes of artworks
The main problems of the traditional foundry dewaxing processes in fine arts workshops are the emission of gases, the loss of 80% of the wax, the high electrical consumption, and the high risks for the operators. The introduction of the microwave technology for dewaxing of ceramic shell molds allows to minimize some of these problems, although the use of electromagnetic susceptors that capture the radiated energy and transform it into heat is required. This article describes different microwave dewaxing tests using TiO2 and graphite as susceptors. The results obtained show that this technique is viable, allowing the casting process to be carried out with a low percentage of breakage problems in the mold and significantly reducing the emitted gases and electricity consumption. The technique allows to recover in the same operation around 90% of the wax used in small and medium format objects. The tests show that the selection of the material used as a susceptor, the area of application and the power regimes, are fundamental to enable a controlled, soft and non-aggressive dewaxing, both for the art molds and for the environment, as opposed to the traditional Flash Dewaxing technique. In this way, it is possible to change the foundry of ceramic shells for artworks to achieve high levels of performance and safety, and to save energy, time and materials.
1,987
Abdominopelvic CT Image Quality: Evaluation of Thin (0.5-mm) Slices Using Deep Learning Reconstruction
BACKGROUND. Because thick-section images (typically 3-5 mm) have low image noise, radiologists typically use them to perform clinical interpretation, although they may additionally refer to thin-section images (typically 0.5-0.625 mm) for problem solving. Deep learning reconstruction (DLR) can yield thin-section images with low noise. OBJECTIVE. The purpose of this study is to compare abdominopelvic CT image quality between thin-section DLR images and thin- and thick-section hybrid iterative reconstruction (HIR) images. METHODS. This retrospective study included 50 patients (31 men and 19 women; median age, 64 years) who underwent abdominopelvic CT between June 15, 2020, and July 29, 2020. Images were reconstructed at 0.5-mm section using DLR and at 0.5-mm and 3.0-mm sections using HIR. Five radiologists independently performed pairwise comparisons (0.5-mm DLR and either 0.5-mm or 3.0-mm HIR) and recorded the preferred image for subjective image quality measures (scale, -2 to 2). The pooled scores of readers were compared with a score of 0 (denoting no preference). Image noise was quantified using the SD of ROIs on regions of homogeneous liver. RESULTS. For comparison of 0.5-mm DLR images and 0.5-mm HIR images, the median pooled score was 2 (indicating a definite preference for DLR) for noise and overall image quality and 1 (denoting a slight preference for DLR) for sharpness and natural appearance. For comparison of 0.5-mm DLR and 3.0-mm HIR, the median pooled score was 1 for the four previously mentioned measures. These assessments were all significantly different (p < .001) from 0. For artifacts, the median pooled score for both comparisons was 0, which was not significant for comparison with 3.0-mm HIR (p = .03) but was significant for comparison with 0.5-mm HIR (p < .001) due to imbalance in scores of 1 (n = 28) and -1 (slight preference for HIR, n = 1). Noise for 0.5-mm DLR was lower by mean differences of 12.8 HU compared with 0.5-mm HIR and 4.4 HU compared with 3.0-mm HIR (both p < .001). CONCLUSION. Thin-section DLR improves subjective image quality and reduces image noise compared with currently used thin- and thick-section HIR, without causing additional artifacts. CLINICAL IMPACT. Although further diagnostic performance studies are warranted, the findings suggest the possibility of replacing current use of both thin- and thick-section HIR with the use of thin-section DLR only during clinical interpretations.
1,988
Compressed Sensing With Nonlinear Analog Mapping in a Noisy Environment
We propose a low delay and low complexity sensor system based on the combination of Shannon-Kotel'nikov mapping and compressed sensing (CS). The proposed system uses nonlinear analog mappings on the CS measurements to increase their immunity against channel noise. Numerical results show that the proposed purely-analog system outperforms the state-of-the-art purely CS systems in terms of signal-to-distortion ratio. In addition to sparsity knowledge, we use a statistical characterization of the observed signal to further improve system performance.
1,989
The Impact of Marine Culture Development on the Formation of Offshore Architectural Art
As one of the most expressive art forms, architecture is closely related to the formation of human civilization. Architectural art in the offshore area is not only affected by marine culture, but also an important manifestation of the marine culture development. This paper aims to explore the impact of the marine culture development on the formation of offshore architectural art. To this end, it first discusses about the connotation and characteristics of marine culture, and offshore architectural art. Then, taking the offshore urban square as an example, the case analysis method was used to analyze the performance of marine culture in offshore architectural art. The research results show that marine culture involves all aspects and fields of social life; the boat houses of Li minority in Hainan is one of the buildings that were earlier affected by marine culture; with the development of the times, marine cultural elements have been more integrated into offshore urban architecture, such as the Sydney Opera House and the National Maritime Museum of China; marine elements such as marine animals, ships, and sails are widely used in landscape sketches of urban square, and have both practical and spiritual functions; offshore urban squares usually reflect the marine cultural characteristics of offshore cities through road paving with different materials and colors and beautiful line designs, which give strong visual effects, and play a role in guiding and dividing space; marine culture is the cultural foundation of the economics, beauty, practicality, and regionality for the garden square in the offshore city.. The research findings have important practical value for the mutual promotion of marine culture and the image construction of offshore cities.
1,990
Accurate and robust tracking of rigid objects in real time
We present the shape model object tracker, which is accurate, robust, and real-time capable on a standard CPU. The tracker has a failure mode detection, is robust to nonlinear illumination changes, and can cope with occlusions. It uses subpixel-precise image edges to track roughly rigid objects with high accuracy and is virtually drift-free even for long sequences. Furthermore, it is inherently capable of object re-detection when tracking fails. To evaluate the accuracy, robustness, and efficiency of the tracker precisely, we present a challenging new tracking dataset with pixel-precise ground truth. The precise ground-truth labels are created automatically from the photo-realistic synthetic VIPER dataset. The tracker is thoroughly evaluated against the state of the art through a number of qualitative and quantitative experiments. It is able to perform on par with the current state-of-the-art deep-learning trackers, but is at least 45 times faster, even without using a GPU. The efficiency and low memory consumption of the tracker are validated in further experiments that are conducted on an embedded device.
1,991
Methods for U-series dating of CaCO3 crusts associated with Palaeolithic cave art and application to Iberian sites
U-series dating is a precise and accurate geochronological tool which is widely applied to date secondary CaCO3 formation, for example in speleothem based palaeoclimate research. It can also be employed to provide chronological constraints for archaeological sites which have a stratigraphic relationship with speleothem formations. We present in detail our methods to conduct precise and accurate U-Th dating of calcite crusts that formed on top of cave paintings. Our protocols allow the application of U-series measurements on small, thin calcite crusts covering cave art, which can be found in many sites, while taking care not to harm the art underneath. The method provides minimum ages for the covered art and, where possible, also maximum aged by dating the flowstone layer the art is painted on. We present dating results for crusts from two locality types in Spain, a typical cave environment (La Pasiega) and a more open, rock shelter type cave (Fuente del Trucho). (C) 2016 Published by Elsevier B.V.
1,992
Schinus Essential Oils: Chemical Composition by GC×GC-TOFMS and Phytotoxic Effects on Arabidopsis thaliana
Schinus essential oils were tentatively identified by GC×GC/TOFMS, which revealed a greater number of compounds than previously reported. Eighty-six, seventy-two, and eighty-eight components were identified in Schinus lentiscifolius, Schinus molle and Schinus terebinthifolius essential oils, respectively. Compound separation due to 2 D selectivity was observed. Phytotoxic effects of Schinus essential oils were assessed on germination and initial growth of Arabidopsis thaliana. All essential oils in all tested quantities (5 μL, 10 μL, 15 μL, 20 μL, and 25 μL) affected germination rate, speed of accumulated germination, and root and shoot length of A. thaliana. Considering the mode of action of the essential oils, no differences were observed on expression of the genes ANP1 and CDK B1;1 in A. thaliana, which was analyzed by RT-qPCR. Results suggest that phytotoxic effects of Schinus essential oils seem to be explained by cellular damage rather than by induction of stress-inducible genes.
1,993
Modified Dolphin Swarm Algorithm Based on Chaotic Maps for Solving High-Dimensional Function Optimization Problems
In 2016, dolphin swarm algorithm (DSA) that has received sustained research interest due to its simplicity and effectiveness was proposed. However, when solving high-dimensional function optimization problems, DSA is prone to fall into local optimization problems, which leads to low optimization accuracy or even failure. In this paper, to solve this problem, chaotic mapping is introduced into DSA, and chaotic dolphin swarm algorithm (CDSA) is successfully proposed. Based on high-dimensional Rastrigin function, the optimal chaotic map is determined among eight chaotic maps (e.g., Logistic). Then, in view of high-dimensional Levy function, Rotated Hyper-Ellipsoid function and Sum Squares function respectively, the performance of CDSA and that of the state-of-the-art algorithms (e.g. (whale optimization algorithm) WOA) are compared. The results show that the performance of CDSA based on Kent map is best and the performance of CDSA outperform that of the state-of-the-art algorithms considered to be compared. Finally, it is concluded that such a new meta-heuristic algorithm could help to improve the shortcomings of DSA and increase the applied range of DSA.
1,994
Preferences for anticoagulation therapy in atrial fibrillation: the patients' view
Since the introduction of new oral anticoagulants (NOACs), besides vitamin-K antagonists, an additional option for stroke prevention of patients with atrial fibrillation (AF) is available. The objective of this study was to assess AF patients' preferences with regard to the attributes of these different treatment options. We conducted a multicenter study among randomly selected physicians. Preferences were assessed by computer-assisted telephone interviews. We used a discrete-choice-experiment (DCE) with four convenience-related treatment dependent attributes (need of bridging: yes/no, interactions with food/nutrition: yes/no, need of INR controls/dose adjustment: yes/no; frequency of intake: once/twice daily) and one comparator attribute (distance to practitioner: <1 km/>15 km). Preferences measured in the interviews were analyzed descriptively and based on a conditional logit regression model. A total of 486 AF patients (age: 73.9 ± 8.2 years; 43.2 % female; mean CHA2DS2-VASc: 3.7 ± 1.6; current medication: 48.1 % rivaroxaban, 51.9 % VKA) could be interviewed. Regardless of type of medication, patients significantly preferred the attribute levels (in order of patients' importance) "once daily intake" (Level: once = 1 vs. twice = 0; Coefficient = 0.615; p < 0.001), "bridging necessary" (yes = 1 vs. no = 0; -0.558; p < 0.001), "distance to practitioner of ≤1 km (>15 km = 0 vs. ≤1 km = 1; 0.494; p < 0.001), "interactions with food/nutrition" (yes = 1 vs. no = 0; -0.332; p < 0.001) and "need of INR controls/dose adjustment" (yes = 1 vs. no = 0; -0.127; p < 0.001). In our analyses, "once daily frequency of intake" was the most important OAC-attribute for patients' choice followed by "no bridging necessary" and "no interactions with food/nutrition". Thus, patients with AF seem to prefer treatment options which are easier to administer.
1,995
[Temporality of Counter-Knowledge in the West German Organic Farming Scene (1970-1999): From Old to New!]
The Stiftung Ökologischer Landbau (SÖL), founded in the mid-1970s, set out to promote organic farming in the Federal Republic of Germany (FRG). To this end, it brought together protagonists from the scientific community and the environmental movement to build a knowledge base for organic agriculture by drawing on the science-based concepts of natural and organic farming of the 1920s and 1930s. Based on the history of its founding, its structure, and work, this article demonstrates that temporality played an essential role in the establishment of alternative bodies of knowledge. Contrary to the established model of linear scientific-technological progress, the aim was to return to bodies of knowledge and practices that had largely disappeared from the scientific canon of knowledge, but also from agricultural practice, in previous processes of forgetting and marginalization. This is exemplified by the so-called "spade diagnosis," a method developed in the 1930s by soil biologists to assess arable soil. Concepts and practice of counter-knowledge amounted to a model of conservative modernization in organic farming.
1,996
Endothelial dysfunction in COVID-19: an overview of evidence, biomarkers, mechanisms and potential therapies
The fight against coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 infection is still raging. However, the pathophysiology of acute and post-acute manifestations of COVID-19 (long COVID-19) is understudied. Endothelial cells are sentinels lining the innermost layer of blood vessel that gatekeep micro- and macro-vascular health by sensing pathogen/danger signals and secreting vasoactive molecules. SARS-CoV-2 infection primarily affects the pulmonary system, but accumulating evidence suggests that it also affects the pan-vasculature in the extrapulmonary systems by directly (via virus infection) or indirectly (via cytokine storm), causing endothelial dysfunction (endotheliitis, endothelialitis and endotheliopathy) and multi-organ injury. Mounting evidence suggests that SARS-CoV-2 infection leads to multiple instances of endothelial dysfunction, including reduced nitric oxide (NO) bioavailability, oxidative stress, endothelial injury, glycocalyx/barrier disruption, hyperpermeability, inflammation/leukocyte adhesion, senescence, endothelial-to-mesenchymal transition (EndoMT), hypercoagulability, thrombosis and many others. Thus, COVID-19 is deemed as a (micro)vascular and endothelial disease. Of translational relevance, several candidate drugs which are endothelial protective have been shown to improve clinical manifestations of COVID-19 patients. The purpose of this review is to provide a latest summary of biomarkers associated with endothelial cell activation in COVID-19 and offer mechanistic insights into the molecular basis of endothelial activation/dysfunction in macro- and micro-vasculature of COVID-19 patients. We envisage further development of cellular models and suitable animal models mimicking endothelial dysfunction aspect of COVID-19 being able to accelerate the discovery of new drugs targeting endothelial dysfunction in pan-vasculature from COVID-19 patients.
1,997
Physical Unclonable Functions in the Internet of Things: State of the Art and Open Challenges
Attacks on Internet of Things (IoT) devices are on the rise. Physical Unclonable Functions (PUFs) are proposed as a robust and lightweight solution to secure IoT devices. The main advantage of a PUF compared to the current classical cryptographic solutions is its compatibility with IoT devices with limited computational resources. In this paper, we investigate the maturity of this technology and the challenges toward PUF utilization in IoT that still need to be addressed.
1,998
Anesthesia in a patient with dyskeratosis congenita presenting for urgent subtotal gastrectomy
Dyskeratosis congenita is a rare and complex congenital disease that may complicate surgical treatment and impact anesthetic care. We present the perioperative management of a patient with severe pancytopenia, respiratory dysfunction, and oral leukoplakia who presented for urgent surgery for removal of a gastric hemorrhagic malignant tumor. Important issues in the management of this patient include choice of anesthetic technique, correction of pancytopenia (thrombocytopenia in particular), judicious perioperative fluid management to avoid dilutional coagulopathy, antibiotic prophylaxis, and strict aseptic technique. Careful management of a potentially difficult airway and a higher likelihood of respiratory insufficiency further complicate patient care. Knowledge of this rare disease process and its potential impact on anesthetic management is paramount for safe perioperative patient care.
1,999
Recommendations for the integral diagnosis of chronic viral hepatitis in a single analytical extraction
The Spanish Society of Digestive Pathology (SEPD), the Spanish Association for the Study of the Liver (AEEH), the Spanish Society of Infections and Clinical Microbiology (SEIMC) and its Viral Hepatitis Study Group (GEHEP), and with the endorsement of the Alliance for the Elimination of Viral Hepatitis in Spain (AEHVE), have agreed on a document to carry out a comprehensive diagnosis of viral hepatitis (B, C and D), from a single blood sample; that is, a comprehensive diagnosis, in the hospital and/or at the point of care of the patient. We propose an algorithm, so that the positive result in a viral hepatitis serology (B, C and D), as well as human immunodeficiency virus (HIV), would trigger the analysis of the rest of the virus, including the viral load when necessary, in the same blood draw. In addition, we make two additional recommendations. First, the need to rule out a previous hepatitis A virus (VHA) infection, to proceed with its vaccination in cases where IgG-type studies against this virus are negative and the vaccine is indicated. Second, the determination of the HIV serology. Finally, in case of a positive result for any of the viruses analyzed, there must be an automated alerts and initiate epidemiological monitoring.