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5,800 | Supplier code of conduct - state-of-the-art and customisation in the electronics industry | In the field of corporate social responsibility (CSR), one efficient way to improve the ethical behaviour of a company is the implementation of a code of conduct. When focused on suppliers, this code is referred to as the supplier code of conduct (SCoC). Specific, application-oriented research on SCoCs is rare. The main goals of the present article are to define the state-of-the-art in SCoCs and to show how this review can be used in industrial practice when defining a company-specific SCoC. This article uses the electronics industry as an example. The state-of-the-art review of the content of the SCoCs is structured in five main categories of issues: labour standards, health and safety, environment, ethics and compliance. The practical relevance of this review is demonstrated by applying it in the development of a customised SCoC for a company as a part of the company's corporate risk management activities. This review uses the content analysis of SCoCs based on the website disclosures of the Forbes Fortune 2000 (Technology Hardware & Equipment) companies; which yielded 24 SCoCs. The application was done in an action research framework with a partner company, and the results were verified with the help of a focus group consisting of 10 companies. |
5,801 | Impact of the COVID-19 pandemic on the hospitalizations, time course, presenting symptoms, and mid-term outcomes in patients with myocardial infarctions in a Japanese multi-center registry | To investigate the impact of the coronavirus disease 2019 (COVID-19) pandemic on myocardial infarctions (MIs), consecutive MI patients were retrospectively reviewed in a multi-center registry. The patient characteristics and 180-day mortality for both ST-segment elevation myocardial infarctions (STEMIs) and non-STEMIs (NSTEMIs) in the after-pandemic period (7 April 2020-6 April 2021) were compared to the pre-pandemic period (7 April 2019-6 April 2020). Inpatients with MIs, STEMIs, and NSTEMIs decreased by 9.5%, 12.5%, and 4.1% in the after-pandemic period. The type of the presenting symptoms (as classified as typical symptoms, atypical symptoms, and out-of-hospital cardiac arrests [OHCAs]) did not differ between the two time periods for both STEMIs and NSTEMIs, while the rate of OHCAs was numerically higher in the after-pandemic period for the STEMIs (12.1% vs. 8.0%, p = 0.30). The symptom-to-admission time (STAT) did not differ between the two time periods for both STEMIs and NSTEMIs, but the door-to-balloon time (DTBT) for STEMIs was significantly longer in the after-pandemic period (83.0 [67.0-100.7] min vs. 70.0 [59.0-88.7] min, p = 0.004). The 180-day mortality did not significantly differ between the two time periods for both STEMIs (15.9% vs. 11.4%, p = 0.14) and NSTEMIs (9.9% vs. 8.0%, p = 0.59). In conclusion, hospitalizations for MIs decreased after the COVID-19 pandemic. Although the DTBTs were significantly longer in the after-pandemic period, the mid-term outcomes for MIs were preserved. |
5,802 | Listeria monocytogenes Co-Opts the Host Exocyst Complex To Promote Internalin A-Mediated Entry | The bacterial pathogen Listeria monocytogenes induces its internalization (entry) into intestinal epithelial cells through interaction of its surface protein, internalin A (InlA), with the human cell-cell adhesion molecule, E-cadherin. While InlA-mediated entry requires bacterial stimulation of actin polymerization, it remains unknown whether additional host processes are manipulated to promote internalization. Here, we show that interaction of InlA with E-cadherin induces the host membrane-trafficking process of polarized exocytosis, which augments uptake of Listeria. Imaging studies revealed that exocytosis is stimulated at sites of InlA-dependent internalization. Experiments inhibiting human N-ethylmaleimide-sensitive factor (NSF) demonstrated that exocytosis is needed for efficient InlA-mediated entry. Polarized exocytosis is mediated by the exocyst complex, which comprises eight proteins, including Sec6, Exo70, and Exo84. We found that Exo70 was recruited to sites of InlA-mediated entry. In addition, depletion of Exo70, Exo84, or Sec6 by RNA interference impaired entry without affecting surface levels of E-cadherin. Similar to binding of InlA to E-cadherin, homophilic interaction of E-cadherin molecules mobilized the exocyst and stimulated exocytosis. Collectively, these results demonstrate that ligation of E-cadherin induces exocytosis that promotes Listeria entry, and they raise the possibility that the exocyst might also control the normal function of E-cadherin in cell-cell adhesion. |
5,803 | Evaluation of Coscinium fenestratum (Goetgh.) Colebr. stem extracts for urolithiasis and quantification of bioactive alkaloids to validate the traditional claims | Coscinium fenestratum (Goetgh.) Colebr. is widely used for urinary disorders and kidney stones by ethnic communities in southern India. The species is documented in various ancient Indian Ayurvedic literatures having therapeutic use in 'Ashmari' i.e., urolithiasis. The present study aims at validation of in-vitro anti-urolithiatic potential of various extracts of C. fenestratum stem along with identification and quantification of major bioactive alkaloids, i.e., berberine and palmatine through HPTLC and LC-MS/MS. Water extract showed maximum anti-urolithiatic activity which on further kinetic analysis, showed concentration dependent inhibitory delay in nucleation and aggregation of calcium oxalate crystals. Berberine and palmatine were quantified with maximum content in methanolic extract (0.478 ± 0.003 and 0.0358 ± 0.001) followed by chloroform and petroleum ether extracts. The study validates ethnobotanical use of C. fenestratum as anti-urolithiatic agent. Further, species can also be explored as a substitute for Berberis spp. for the alkaloid metabolites i.e., berberine and palmatine. |
5,804 | Discussion on Electric Power Supply Systems for All Electric Aircraft | The electric power supply system is one of the most important research areas within sustainable and energy-efficient aviation for more- and especially all electric aircraft. This paper discusses the history in electrification, current trends with a broad overview of research activities, state of the art of electrification and an initial proposal for a short-range aircraft. It gives an overview of the mission profile, electrical sources, approaches for the electrical distribution system and the required electrical loads. Current research aspects and questions are discussed, including voltage levels, semiconductor technology, topologies and reliability. Because of the importance for safety possible circuit breakers for the proposed concept are also presented and compared, leading to a initial proposal. Additionally, a very broad review of literature and a state of the art discussion of the wiring harness is given, showing that this topic comes with a high number of aspects and requirements. Finally, the conclusion sums up the most important results and gives an outlook on important future research topics. |
5,805 | Changing mothers' perception of infant emotion: a pilot study | Cognitive bias modification (CBM) techniques, which experimentally retrain abnormal processing of affective stimuli, are becoming established for various psychiatric disorders. Such techniques have not yet been applied to maternal processing of infant emotion, which is affected by various psychiatric disorders. In a pilot study, mothers of children under 3 years old (n = 2) were recruited and randomly allocated to one of three training exercises, aiming either to increase or decrease their threshold of perceiving distress in a morphed continuum of 15 infant facial images. Differences between pre- and post-training threshold were analysed between and within subjects. Compared to baseline thresholds, the threshold for perceiving infant distress decreased in the lowered threshold group (mean difference -1.7 frames, 95 % confidence intervals (CI) -3.1 to -0.3, p = 0.02), increased in the raised threshold group (1.3 frames, 95 % CI 0.6 to 2.1, p < 0.01) and was unchanged in the control group (0.1 frames, 95 % CI -0.8 to 1.1, p = 0.80). Between-group differences were similarly robust in regression models and were not attenuated by potential confounders. The findings suggest that it is possible to change the threshold at which mothers perceive ambiguous infant faces as distressed, either to increase or decrease sensitivity to distress. This small study was intended to provide proof of concept (i.e. that it is possible to alter a mother's perception of infant distress). Questions remain as to whether the effects persist beyond the immediate experimental session, have an impact on maternal behaviour and could be used in clinical samples to improve maternal sensitivity and child outcomes. |
5,806 | Edge-Aware Convolution Neural Network Based Salient Object Detection | Salient object detection has received great amount of attention in recent years. In this letter, we propose a novel salient object detection algorithm, which combines the global contextual information along with the low-level edge features. First, we train an edge detection stream based on the state-of-the-art holistically-nested edge detection (HED) model and extract hierarchical boundary information from each VGG block. Then, the edge contours are served as the complementary edge-aware information and integrated with the saliency detection stream to depict continuous boundary for salient objects. Finally, we combine pyramid pooling modules with auxiliary side output supervision to form the multi-scale pyramid-based supervision module, providing multi-scale global contextual information for the saliency detection network. Compared with the previous methods, the proposed network contains more explicit edge-aware features and exploit the multi-scale global information more effectively. Experiments demonstrate the effectiveness of the proposed method, which achieves the state-of-the-art performance on five popular benchmarks. |
5,807 | Blood cells: an historical account of the roles of purinergic signalling | The involvement of purinergic signalling in the physiology of erythrocytes, platelets and leukocytes was recognised early. The release of ATP and the expression of purinoceptors and ectonucleotidases on erythrocytes in health and disease are reviewed. The release of ATP and ADP from platelets and the expression and roles of P1, P2Y(1), P2Y(12) and P2X1 receptors on platelets are described. P2Y(1) and P2X(1) receptors mediate changes in platelet shape, while P2Y(12) receptors mediate platelet aggregation. The changes in the role of purinergic signalling in a variety of disease conditions are considered. The successful use of P2Y(12) receptor antagonists, such as clopidogrel and ticagrelor, for the treatment of thrombosis, myocardial infarction and stroke is discussed. |
5,808 | Sulfur-Free Radical RAFT Polymerization of Methacrylates in Homogeneous Solution: Design of exo-Olefin Chain-Transfer Agents (R-CH2 C(=CH2 )Z) | In this work, the development of exo-olefin compounds (R-CH2 C(=CH2 )Z) as chain-transfer agents for the sulfur-free reversible addition-fragmentation chain transfer (RAFT) radical polymerization of methacrylates in homogeneous solution is described. A series of exo-olefin compounds with a methyl methacrylate (MMA) dimer structure as the R group and a substituted α-methylstyrene unit as the -CH2 C(=CH2 )Z (Z: Ph-Y) group were synthesized and used for the radical polymerization of MMA in toluene and PhC(CF3 )2 OH. These compounds underwent transfer of the CH2 C(=CH2 )Z group via addition-fragmentation of the propagating methacryloyl radical. More electron-donating (Y) substituents, such as methoxy and dimethylamino groups, produced polymers with narrower molecular weight distributions. A continuous monomer addition method further improved molecular weight control and enabled the synthesis of colorless, sulfur-free, multiblock copolymers of methacrylates in homogeneous solutions. |
5,809 | TP53, NOTCH2, and STK11 Mutations in a Rare Tumor of non-Small Cell Lung Carcinoma with Diffuse Coexpression of TTF1 and p40 in the Same Tumor Cells | Introduction. Five cases of non-small cell lung carcinoma (NSCLC) with diffuse coexpression of TTF1 and p40 in the same tumor cells (hereafter referred to as TTF1/P40-NSCLC) have been reported since 2015. It was considered a new entity of NSCLC occurred in aged male smokers with poorly differentiated carcinomas and a similar molecular signature harboring a TP53 mutation. Methods. We report an extremely rare tumor of TTF1/P40-NSCLC. Morphological observation and immunohistochemical examination were performed, clinical and molecular features were summarized, and a review of the relevant literature was provided. Results. The tumor showed a solid growth pattern with patchy necrosis, and glandular and squamous pattern were not obvious. The tumor cells proliferated within the bronchial epithelium. Spreading through air spaces of tumor cells were observed. A peculiar immunohistochemical phenotype of diffuse and strong positivity for TTF1 (8G7G3/1) and p40 in the same tumor cells was detected. Additionally, the tumor cells were positive for KRT7 and KRT20, while negative for PD-L1 (22C3). Negative P53 (null) Immunohistochemistry (IHC) staining indicated mutational status and the Ki67 index was 80%. Molecular investigation was performed using whole exome sequencing, and TP53, NOTCH2, and STK11 mutations were detected. The patient remained alive over a follow-up period of 22 months without tumor recurrence or metastasis. Conclusions. We describe an unusual tumor of TTF1/P40-NSCLC harboring TP53, NOTCH2 and STK11 mutations. These gene mutations may be helpful in providing additional therapeutic possibilities. Our report offers further insight into this rare tumor. |
5,810 | Regulation of the aryl hydrocarbon receptor in cancer and cancer stem cells of gynecological malignancies: An update on signaling pathways | Gynecological malignancies are a female type of cancers that affects the reproductive system. Cancer metastasis or recurrence mediated by cellular invasiveness occurs at advanced stages of cancer progression. Cancer Stem Cells (CSCs) enrichment in tumors leads to chemoresistance, which results in cancer mortality. Exposure to environmental pollutants such as polycyclic aromatic hydrocarbons is associated with an increased the risk of CSC enrichment in gynecological cancers. One of the important pathways that mediates the metabolism and bioactivation of these environmental chemicals is the transcription factor, aryl hydrocarbon receptor (AhR). The present review explores the molecular mechanisms regulating the crosstalk and interaction of the AhR with cancer-related signaling pathways, such as apoptosis, epithelial-mesenchymal transition, immune checkpoints, and G-protein-coupled receptors in several gynecological malignancies such as ovarian, uterine, endometrial, and cervical cancers. The review also discusses the potential of targeting the AhR pathway as a novel chemotherapy for gynecological cancers. |
5,811 | A hybrid list-based task scheduling scheme for heterogeneous computing | Efficient task scheduling is required to attain high performance in both homogeneous and heterogeneous computing systems. An application can be considered as a task grid represented using a Directed Acyclic Graph (DAG). Solving such DAG representing a scheduling problem is an NP-complete task. The primary concern in this problem domain is to reduce the schedule length with minimum complexity. This work presents a Hybrid List-based Task Scheduling using Duplication Scheme (HLTSD) algorithm for heterogeneous processors. The proposed HLTSD algorithm has the same time complexity as that of the recent state-of-the-art algorithms. However, it produces a minimum cost schedule in comparison with other related methods. This work also presents a mathematical formulation to find task priorities. The processor selection phase is improved by utilizing the techniques, like entry task duplication, insertion-based policy, duplication of parent task on other levels, and balancing the load on each processor. The current proposal minimizes the overall makespan of execution by reasonable levels. Performance of the proposed algorithm is evaluated using DAGs adopted from various state-of-the-art algorithms, real-world problems, like Gaussian elimination (GE) and fast Fourier transformation (FFT) task graph and randomly generated graphs with diverse characteristics. The proposed scheme is compared with four state-of-the-art list-based scheduling algorithms, namely Heterogeneous Earliest Finish Time (HEFT), Predict Earliest Finish Time (PEFT), Heterogeneous Scheduling with Improved task Priority (HSIP), and Task Scheduling for Heterogeneous Computing Systems (TSHCS). Based on the best quality schedule, the obtained results suggest that HLTSD has better results in 87% cases. |
5,812 | Suspicious-Region Segmentation From Breast Thermogram Using DLPE-Based Level Set Method | Segmentation of suspicious regions (SRs) of a thermal breast image (TBI) is a very significant and challenging problem for the identification of breast cancer. Therefore, in this work, we have proposed an active contour model for the segmentation of the SRs in TBI. The proposed segmentation method combines three significant steps. First, a novel method, called smaller-peaks corresponding to the high-intensity-pixels and the centroid-knowledge of SRs (SCH-CS), is proposed to approximately locate the SRs, whose contours are later used as the initial evolving curves of the level set method (LSM). Second, a new energy functional, called different local priorities embedded (DLPE), is proposed regarding the level set function. DLPE is then minimized using the interleaved level set evolution to segment the potential SRs in TBI more accurately. Finally, a new stopping criterion is incorporated into the proposed LSM. The proposed LSM not only increases the segmentation speed but also ameliorates the segmentation accuracy. The performance of our SR segmentation method was evaluated on two TBI databases, namely, DMR-IR and DBT-TU-JU, and the average segmentation accuracies obtained on these databases are 72.18% and 71.26% respectively, which are better than the other state-of-the-art methods. Beside this, a novel framework to analyze TBIs is proposed for differentiating abnormal and normal breasts on the basis of the segmented SRs. We have also shown experimentally that investigating only the SRs instead of the whole breast is more effective in differentiating abnormal and normal breasts. |
5,813 | Information Fusion of Conflicting Input Data | Sensors, and also actuators or external sources such as databases, serve as data sources in order to realise condition monitoring of industrial applications or the acquisition of characteristic parameters like production speed or reject rate. Modern facilities create such a large amount of complex data that a machine operator is unable to comprehend and process the information contained in the data. Thus, information fusion mechanisms gain increasing importance. Besides the management of large amounts of data, further challenges towards the fusion algorithms arise from epistemic uncertainties (incomplete knowledge) in the input signals as well as conflicts between them. These aspects must be considered during information processing to obtain reliable results, which are in accordance with the real world. The analysis of the scientific state of the art shows that current solutions fulfil said requirements at most only partly. This article proposes the multilayered information fusion system MACRO (multilayer attribute-based conflict-reducing observation) employing the mu BalTLCS (fuzzified balanced two-layer conflict solving) fusion algorithm to reduce the impact of conflicts on the fusion result. The performance of the contribution is shown by its evaluation in the scope of a machine condition monitoring application under laboratory conditions. Here, the MACRO system yields the best results compared to state-of-the-art fusion mechanisms. The utilised data is published and freely accessible. |
5,814 | End-to-End Fovea Localisation in Colour Fundus Images With a Hierarchical Deep Regression Network | Accurately locating the fovea is a prerequisite for developing computer aided diagnosis (CAD) of retinal diseases. In colour fundus images of the retina, the fovea is a fuzzy region lacking prominent visual features and this makes it difficult to directly locate the fovea. While traditional methods rely on explicitly extracting image features from the surrounding structures such as the optic disc and various vessels to infer the position of the fovea, deep learning based regression technique can implicitly model the relation between the fovea and other nearby anatomical structures to determine the location of the fovea in an end-to-end fashion. Although promising, using deep learning for fovea localisation also has many unsolved challenges. In this paper, we present a new end-to-end fovea localisation method based on a hierarchical coarse-to-fine deep regression neural network. The innovative features of the new method include a multi-scale feature fusion technique and a self-attention technique to exploit location, semantic, and contextual information in an integrated framework, a multi-field-of-view (multi-FOV) feature fusion technique for context-aware feature learning and a Gaussian-shift-cropping method for augmenting effective training data. We present extensive experimental results on two public databases and show that our new method achieved state-of-the-art performances. We also present a comprehensive ablation study and analysis to demonstrate the technical soundness and effectiveness of the overall framework and its various constituent components. |
5,815 | Is native aortic valvuloplasty at time of Norwood operation in infants with hypoplastic left heart syndrome and aortic stenosis safe? | In hypoplastic left heart syndrome, the size and function of the left ventricle vary and are dependent on the patency of the aortic valve. A patent native aortic valve, permitting left ventricular ejection, can augment cardiac output. We performed a retrospective chart review of patients with hypoplastic left heart syndrome and a stenotic aortic valve who underwent native aortic valvuloplasty at the time of Norwood and found that none of the eight patients identified had clinically significant aortic insufficiency. This case series suggests that surgical aortic valvuloplasty at Norwood is associated with aortic valve patency/augmented systemic cardiac output without the development of clinically significant aortic regurgitation at intermediate follow-up in a limited cohort. |
5,816 | Fast Multidimensional Ellipsoid-Specific Fitting by Alternating Direction Method of Multipliers | Many problems in computer vision can be formulated as multidimensional ellipsoid-specific fitting, which is to minimize the residual error such that the underlying quadratic surface is a multidimensional ellipsoid. In this paper, we present a fast and robust algorithm for solving ellipsoid-specific fitting directly. Our method is based on the alternating direction method of multipliers, which does not introduce extra positive semi-definiteness constraints. The computation complexity is thus significantly lower than those of semi-definite programming (SDP) based methods. More specifically, to fit n data points into a p dimensional ellipsoid, our complexity is O(p(6) + np(4)) + O(p(3)), where the former O results from preprocessing data once, while that of the state-of-the-art SDP method is O(p(6) + np(4) + n(3/2)p(2)) for each iteration. The storage complexity of our algorithm is about 1/2np(2), which is at most 1/4 of those of SDP methods. Extensive experiments testify to the great speed and accuracy advantages of our method over the state-of-the-art approaches. The implementation of our method is also much simpler than SDP based methods. |
5,817 | Enhancement of thioethers removal by pre-oxidation-coagulation: Effects of background organic matter | Swampy/septic odor caused by thioethers has become the main taste and odor (T&O) problem in drinking water of China. Improving its removal performance by commonly traditional water treatment process is significant. In our study, we have found that pre-oxidation could modify the background dissolved organic matter (DOM) properties and thus improve the coagulation performance of thioethers, increasing the coagulation removal rates by 1.5-3 times. Particularly, after pre-ozonation only protein-like substances remained, and thioethers removal was 1.5 times higher than that after pre-chlorination (only coagulation not including oxidation). Compared with humic acid (HA), the thioethers compounds removal efficiencies under bovine serum albumin (BSA) as background DOM was increased by 0.3-3 times. Through Freundlich model analysis, the binding strength of BSA (KF = 20.712, at 298 K) to dimethyl disulfide (DMDS) was enhanced by 60 % compared to HA (KF = 12.778, at 298 K). According to thermodynamic parameters, the binding effect between HA/BSA and thioethers compounds was mainly van der Waals forces and hydrogen bond. BSA with more amino structure and oxygen groups was more easily to adsorb DMDS through hydrogen bond and thus achieved better coagulation performance. Therefore, pre-ozonation combined with coagulation was suggested to be more suitable for thioethers compounds control. |
5,818 | A framework for suspect face retrieval using linguistic descriptions | Facial sketch plays a vital role in suspect's identification and apprehension by law enforcement agencies. The sketch artist develops sketches based on the memory of the eye witness. However, sketch artists are less in number and limited to availability. It is also observed that as time passes, the onlooker even forgets many of the critical attributes, which proves costly in time-sensitive investigations. State-of-the-art sketch-photo retrieval methods have used the sketch to retrieve the suspect's photograph and ignore the importance of time sensitivity. In this paper, we have proposed a linguistic description based approach for suspect's photo retrieval. In the proposed approach, the facial attributes and their descriptions are extracted from the input linguistic information using parts of speech and attributes ontology. Attributes are ranked according to their importance in the identification of a suspect. An ensemble classifier which aggregates the predictions of multiple classifiers is used to retrieve a suspect's image. Experiments are performed on standard datasets. The performance of the proposed approach is evaluated by comparing it with the existing methods of linguistic sketch-based retrieval as well as with sketch to photo retrieval method. Experimental results illustrate that the proposed linguistic-base method using ensemble classification attains auspicious performance as compared to state-of-the-art methods. (C) 2019 Elsevier Ltd. All rights reserved. |
5,819 | Associations of dispositional forgivingness with facets of well-being among Colombian adults: A longitudinal outcome-wide analysis | Many studies have reported evidence suggesting that dispositional forgivingness has positive implications for different domains of well-being. However, relatively few methodologically rigorous studies have been conducted in the Global South, particularly in post-conflict settings where forgiveness could play an important role in supporting individual well-being. In this three-wave cohort study of predominantly young adult Colombians (n = 1575), we examined the associations of dispositional forgivingness with 20 well-being outcomes across several domains of well-being: psychological distress, psychological well-being, physical health, social well-being, and character strengths/virtues. Using an outcome-wide analytic design that included extensive control for potential confounding and reverse causation by adjusting for a range of covariates assessed in Wave 1 (2017), we found that dispositional forgivingness assessed in Wave 2 (2018) was at least modestly associated with improvements in one or more facet of each well-being domain assessed approximately 1 year later in Wave 3 (2019). Associations tended to be stronger for outcomes in the domains of psychological distress, psychological well-being, social well-being, and character strengths/virtues compared to the physical health domain. These longitudinal findings suggest that dispositional forgivingness might promote individual well-being in societies with a long history of ongoing civil unrest, conflict, and war. |
5,820 | A curvelet-based multi-sensor image denoising for KLT-based image fusion | The transform-based multi-sensor image denoising methods are inefficient in restoring fine details and texture information of noisy images. The fixed and non-adaptive curvelet transform (CT) design limits its performance in image denoising tasks. Moreover, the Karhunen-Loeve Transform (KLT)-based multi-sensor image fusion techniques premise that high variance's first two principal components are an excellent option for weights used for the weighted average multi-sensor source images. However, the selected weights are non-optimal in this method, considering the less relevant information of source images. The experimental section has several examples showing the key advantages of the proposed optimized CT-based natural image denoising technique over seven existing denoising methods. First, our image denoising method introduces a modified Meyer window (used in unequally-spaced fast Fourier transform (USFFT))-based novel optimized USFFT CT (OUSFFT CT) and a modified wrapping window (WW)-based novel optimized WW CT (OWW CT) to address non-adaptive nature of curvelet transform. These windows are used for the decomposition of noisy source images into low- and high-frequency coefficients. The coefficients are hard thresholds to remove the noisy artifacts in the source image. Moreover, the denoised images are used for fusion purposes to obtain fused images with less noise. Secondly, our proposed image fusion method presents an optimized algorithm to fuse multi-sensor source images. In this method, KLT based weights are optimized by considering more relative information of source images and improve the fused image's information interpretation capability. The qualitative and quantitative evaluations of fused images show that our method provides better fusion results than five different state-of-the-art medical, multi-focus, and infrared image fusion methods. The proposed image denoising method has 1% and 2.2% increment on average of PSNR and SSIM values, respectively, compared to existing state-of-the-art methods. The proposed image fusion method has a 9.04% increment on the average value of image fusion metrics compared to existing state-of-the-art methods. |
5,821 | The beginning of the Neolithic in the mid-Ebro valley and in Iberia's Inland (Northern and Southern submeseta), Spain | This paper is a state-of-art of the Neolithisation process and Early Neolithic in Iberia's inlands, specifically in the mid and upper Ebro Valley and Central Meseta of Spain. Firstly, a historiographical review of the hypothesis and models of the last decades are presented. In this section, the paper shows that the main theoretical concepts and ideas remain similar for a long time ago but they are nuanced by the last data and analysis. Next, these new data and revisions are analysed, in particular the existence of Neolithic settler pioneer communities and "Mesolithic context with Neolithic elements", the role of colonization phenomena (DNA analysis, leapfrog colonization and landscape occupation), the pottery studies like main interpretative tool and, finally, the variable of rock art. The chronology is reviewed in the last section. (C) 2017 Elsevier Ltd and INQUA. All rights reserved. |
5,822 | Developing a Naïve Bayesian Classification Model with PI3Kγ structural features for virtual screening against PI3Kγ: Combining molecular docking and pharmacophore based on multiple PI3Kγ conformations | Phosphatidylinositol 3-kinase gamma (PI3Kγ) plays a critical role in immune signaling, thus identifying PI3Kγ as a potential therapeutic target. However, developing selective PI3Kγ inhibitors is hampered by the highly conserved structure of the ATP-binding pocket. Focused effort would be needed to improve upon the γ-subtype selectivity of the inhibitors; therefore, in the present study, a naïve Bayesian classification (NBC) model with PI3Kγ structural features that integrates molecular docking and pharmacophore based on multiple PI3Kγ conformations was developed for virtual screening against PI3Kγ to find novel selective PI3Kγ inhibitors. First, the active PI3Kγ inhibitors/decoy dataset was used to prove whether molecular docking or pharmacophore, integrating multiple PI3Kγ conformations always has higher prediction accuracy than that of any single conformation. Second, both internal cross-validation and external prediction revealed that the NBC model combining molecular docking and pharmacophore could significantly improve the enrichment of active PI3Kγ inhibitors. Then, an analog dataset based on JN-PK1 (a reference compound) was constructed and submitted to virtual screening using the optimal NBC model. Finally, a novel inhibitor with higher PI3Kγ inhibitory activity than JN-PK1 was identified through a series of biological assays, showing both good accuracy and significant reliability of the NBC model with the PI3Kγ structural features. We hope that the developed virtual screening strategy will provide valuable guidance for the discovery of novel selective PI3Kγ inhibitors. |
5,823 | Point Set Registration Using Havrda-Charvat-Tsallis Entropy Measures | We introduce a labeled point set registration algorithm based on a family of novel information-theoretic measures derived as a generalization of the well-known Shannon entropy. This generalization, known as the Havrda-Charvat-Tsallis entropy, permits a fine-tuning between solution types of varying degrees of robustness of the divergence measure between multiple point sets. A variant of the traditional free-form deformation approach, known as directly manipulated free-form deformation, is used to model the transformation of the registration solution. We provide an overview of its open source implementation based on the Insight Toolkit of the National Institutes of Health. Characterization of the proposed framework includes comparison with other state of the art kernel-based methods and demonstration of its utility for lung registration via labeled point set representation of lung anatomy. |
5,824 | Sensations of skin infestation linked to abnormal frontolimbic brain reactivity and differences in self-representation | Some patients experience skin sensations of infestation and contamination that are elusive to proximate dermatological explanation. We undertook a functional magnetic resonance imaging study of the brain to demonstrate, for the first time, that central processing of infestation-relevant stimuli is altered in patients with such abnormal skin sensations. We show differences in neural activity within amygdala, insula, middle temporal lobe and frontal cortices. Patients also demonstrated altered measures of self-representation, with poorer sensitivity to internal bodily (interoceptive) signals and greater susceptibility to take on an illusion of body ownership: the rubber hand illusion. Together, these findings highlight a potential model for the maintenance of abnormal skin sensations, encompassing heightened threat processing within amygdala, increased salience of skin representations within insula and compromised prefrontal capacity for self-regulation and appraisal. |
5,825 | Random sampling for fast face sketch synthesis | Exemplar-based face sketch synthesis plays an important role in both digital entertainment and law enforcement. It generally consists of two parts: neighbor selection and recognition weight representation. In this paper, we proposed a simple but effective method which employs offline random sampling instead of K-NN used in state-of-the-art methods. The proposed random sampling strategy reduces the time consuming for synthesis and has stronger scalability than state-of-the-art methods. In addition, we introduced locality constraint to model the distinct correlations between the test patch and random sampled patches. Extensive experiments on public face sketch databases demonstrate the superiority of the proposed method in comparison to state-of-the-art methods, in terms of both synthesis quality and time consumption. The proposed method could be extended to other heterogeneous face image transformation problems such as face hallucination. We release the source codes of our proposed methods and the evaluation metrics for future study online: http://www.ihitworld.com/RSLCR.html. (C) 2017 Elsevier Ltd. All rights reserved. |
5,826 | Multi-source information art painting fusion interactive 3D dynamic scene virtual reality technology application research | Art painting is a very important major in China's education system. Under the background of the new era, the country vigorously promotes the modernization of education and the development of intelligence. Many subjects of teaching have been more mature and carried out intelligent teaching based on virtual reality technology. But throughout the art painting profession, the research on this aspect is almost blank. The main reason is that there are deep academic barriers between art painting and computer science. Therefore, this paper puts forward the application research of multi-source information art painting fusion interactive 3D dynamic scene virtual reality technology. This paper deeply analyzes the needs of art painting and its teaching reform and believes that the existing virtual reality technology cannot adapt to the teaching environment of art painting. In view of the possible inaccurate calculation and other problems, this paper puts forward the optimization scheme. The core of the scheme is to use the information integration advantages of multi-source information fusion to provide more comprehensive and complete object information for 3D modeling of virtual reality technology, so as to improve the imaging quality of virtual reality technology. In order to meet the requirement of high precision, the calculation method is optimized, the calculation steps are simplified, and the sensor selection is optimized again. This paper introduces the design principle and operation steps of the optimization method in detail. In order to further verify the actual effect of this method, comparative analysis method is used to test the comprehensive performance. In order to ensure the test quality, the median filtering algorithm and fuzzy algorithm are compared. Through the analysis and comparison of the data, the optimization method in this paper greatly improves the accuracy of calculation and the comprehensive performance is improved. |
5,827 | Cochlear Implantation: The Variation in Cochlear Height | This study aimed to identify the association between different cochlear metrics, including the basal turn diameter (A-value), the basal turn width (B-value), and the height of the cochlea (H-value). We also reported an association between H-value and hearing outcomes with cochlear implants (CI). This is a retrospective study that included all patients who underwent CI procedures between 2012 and 2018 at a tertiary center and have; preoperative high-resolution computed tomography (CT), normal cochlea, postoperative follow-up duration of at least 2 years, scores of the category auditory performance II (CAP-II), and speech intelligibility rating (SIR) scales. A total of 65 ears implanted with CI in 46 patients (24 boys and 20 girls; mean age of 7 (±10) years) fulfilled the inclusion criteria. We found significant positive correlations between A vs B, A vs H, and B vs H (P-value = 0.008, 0.018, and 0.0039, respectively). We also found a significant positive relationship between A, B, and H values and cochlear duct length (CDL) (P-value < 0.0001, 0.008, and 0.018, respectively). Finally, the H-value was significantly correlated with the SIR (P-value = 0.027). However, its correlation with the CAP score was not statistically significant (P-value = 0.62). Cochlear height significantly correlated with CDL and the other cochlear parameters. The variation in cochlear height can also affect speech outcomes in patients undergoing CI. Therefore, the H-value together with the other cochlear metrics should be adequately assessed preoperatively in CI patients. |
5,828 | Multi-Pedestrian Tracking Based on Improved Two Step Data Association | The multi-object tracking (MOT) algorithms based on tracking by detection framework are the state-of-the-art trackers in recent years. Association optimization and association affinity model are two key parts in MOT, which have attracted attention to build effective association model to overcome ambiguous detection responses. In this paper, we have proposed an online multi-pedestrian tracking algorithm that uses a two-step data association with the help of improved sparse based appearance affinity model and rank based motion affinity model. The association framework is constructed by fusing the trajectory dynamic information and confidence based two-step data associations. The missing frames of a tracklet are counted based on the sparse reconstruction error of a target. An incremental SVD and downdate SVD decomposition is devised to estimate the rank of the Hankel matrix in rank based motion model. The estimated result is fed back to compute the tracklets confidence during association optimization. Both those strategies are beneficial to eliminate ambiguous detection responses during association. By this association optimization strategy, the fragmented tracklets in online tracking are reduced in some extent. We evaluate our method on four public available challenging datasets. The experimental results, both qualitative and quantitative, demonstrate that the proposed tracking algorithm has a good tracking performance compared with several state-of-the-art multi-object trackers. |
5,829 | Eikonal-based region growing for efficient clustering | We describe an Eikonal-based algorithm for computing dense oversegmentation of an image, often called supeipixels. This oversegmentation respects local image boundaries while limiting undersegmentation. The proposed algorithm relies on a region growing scheme, where the potential map used is not fixed and evolves during the diffusion. Refinement steps are also proposed to enhance at low cost the first oversegmentation. Quantitative comparisons on the Berkeley dataset show good performance on traditional metrics over current state-of-the art superpixel methods. (C) 2014 Elsevier B.V. All rights reserved. |
5,830 | ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification With Chest X-Rays | Image representation is a fundamental task in computer vision. However, most of the existing approaches for image representation ignore the relations between images and consider each input image independently. Intuitively, relations between images can help to understand the images and maintain model consistency over related images, leading to better explainability. In this paper, we consider modeling the image-level relations to generate more informative image representations, and propose ImageGCN, an end-to-end graph convolutional network framework for inductive multi-relational image modeling. We apply ImageGCN to chest X-ray images where rich relational information is available for disease identification. Unlike previous image representation models, ImageGCN learns the representation of an image using both its original pixel features and its relationship with other images. Besides learning informative representations for images, ImageGCN can also be used for object detection in a weakly supervised manner. The experimental results on 3 open-source x-ray datasets, ChestX-ray14, CheXpert and MIMIC-CXR demonstrate that ImageGCN can outperform respective baselines in both disease identification and localization tasks and can achieve comparable and often better results than the state-of-the-art methods. |
5,831 | Future orientation and perceived employability of chinese undergraduates: a moderated mediation model | Although scholars and practitioners have highlighted the significance of students' attitudes for their future employment, few empirical examinations have attempted to determine the potential association between students' future orientation and their perceived employability. Thus, drawing on career construction theory, we test the positive effect of students' future orientation on their perceived employability by exploring the mediator of problem-based learning and the moderators of job market knowledge and proactive personality. Collecting our data via a time-lagged design (N = 368), we have found that the positive association between future orientation and employability is mediated by problem-based learning. Our moderation analyses further revealed that job market knowledge positively moderates the relationship between future orientation and problem-based learning and that students' proactive personality positively moderates the relationship between problem-based learning and perceived employability. |
5,832 | Improving Restore Performance of Packed Datasets in Deduplication Systems via Reducing Persistent Fragmented Chunks | Data deduplication, though being efficient for redundancy elimination in storage systems, introduces chunk fragmentation which severely decreases restore performance. Rewriting algorithms are proposed to reduce the chunk fragmentation. Typically, the backup software aggregates files into larger "tar" type files for storage. We observe that, in tar type datasets, a large number of Persistent Fragmented Chunks (PFCs) are repeatedly rewritten by state-of-the-art rewriting algorithms in every backup, which severely impacts restore performance. We found that the existence of PFCs is due to the traditional strategy of storing PFCs along with other chunks in the containers to preserve the stream locality, rendering them always stored in the containers with low utilization. We propose DePFC to reduce PFCs. DePFC identifies and removes PFCs from the containers preserving the stream locality, and groups them together, to increase the utilization of containers holding them for the subsequent backup, thus preventing them from being rewritten again. We further propose an FC Buffer to avoid mistaken rewrites of PFCs and grouping PFCs that cause restore cache thrashing together. Experimental results demonstrate that DePFC improves restore performance of state-of-the-art rewriting algorithms by 44.24-89.42 percent, while attaining comparable deduplication efficiency, and FC Buffer further improves restore performance. |
5,833 | Aggregation-Induced-Emission Photosensitizer-Loaded Nano-Superartificial Dendritic Cells with Directly Presenting Tumor Antigens and Reversed Immunosuppression for Photodynamically Boosted Immunotherapy | The success of tumor immunotherapy highlights the potential of harnessing immune system to fight cancer. Activating both native T cells and exhausted T cells is a critical step for generating effective antitumor immunity, which is determined based on the efficient presentation of tumor antigens and co-stimulatory signals by antigen-presenting cells, as well as immunosuppressive reversal. However, strategies for achieving an efficient antigen presentation process and improving the immunosuppressive microenvironment remain unresolved. Here, aggregation-induced-emission (AIE) photosensitizer-loaded nano-superartificial dendritic cells (saDC@Fs-NPs) are developed by coating superartificial dendritic cells membranes from genetically engineered 4T1 tumor cells onto nanoaggregates of AIE photosensitizers. The outer cell membranes of saDC@Fs-NPs are derived from recombinant lentivirus-infected 4T1 tumor cells in which peptide-major histocompatibility complex class I, CD86, and anti-LAG3 antibody are simultaneously anchored. These saDC@Fs-NPs could directly stimulate T-cell activation and reverse T-cell exhaustion for cancer immunotherapy. The inner AIE-active photosensitizers induce immunogenic cell death to activate dendritic cells and enhance T lymphocyte infiltration by photodynamic therapy, promoting the transformation of "cold tumors" into "hot tumors," which further boosts immunotherapy efficiency. This work presents a powerful photoactive and artificial antigen-presenting platform for activating both native T cells and exhausted T cells, as well as facilitating tumor photodynamic immunotherapy. |
5,834 | A Deep Spatial and Temporal Aggregation Framework for Video-Based Facial Expression Recognition | Video-based facial expression recognition is a long-standing problem owing to a gap between visual features and emotions, difficulties in tracking the subtle movement of muscles and limited datasets. The key to solving this problem is to exploit effective features characterizing facial expression to perform facial expression recognition. We propose an effective framework to solve these problems. In our work, both spatial information and temporal information are utilized through the aggregation layer of a framework that fuses two state-of-the-art stream networks. We investigate different strategies for pooling across spatial information and temporal information. We find that it is effective to pool jointly across spatial information and temporal information for video-based facial expression recognition. Our framework is end-to-end trainable for whole-video recognition. In addressing the problem of facial recognition, the main contribution of this project is the design of a novel, trainable deep neural network framework that fuses spatial information and temporal information of video according to CNNs and LSTMs for pattern recognition. The experimental results on two public datasets, i.e., the RML and eNTERFACE05 databases, show that our framework outperforms previous state-of-the-art frameworks. |
5,835 | PLAG1 and NCAPG-LCORL in livestock | A recent progress on stature genetics has revealed simple genetic architecture in livestock animals in contrast to that in humans. PLAG1 and/or NCAPG-LCORL, both of which are known as a locus for adult human height, have been detected for association with body weight/height in cattle and horses, and for selective sweep in dogs and pigs. The findings indicate a significant impact of these loci on mammalian growth or body size and usefulness of the natural variants for selective breeding. However, association with an unfavorable trait, such as late puberty or risk for a neuropathic disease, was also reported for the respective loci, indicating an importance to discriminate between causality and association. Here I review the recent findings on quantitative trait loci (QTL) for stature in livestock animals, mainly focusing on the PLAG1 and NCAPG-LCORL loci. I also describe our recent efforts to identify the causative variation for the third major locus for carcass weight in Japanese Black cattle. |
5,836 | Fabrication of highly porous platinum electrodes for micro-scale applications by pulsed electrodeposition and dealloying | We present the implementation and optimization of a novel electrodeposition method for the fabrication of highly porous platinum electrodes. It is based on the co-deposition of platinum and copper and the selective dealloying of copper in a pulsed manner. The new process yields mechanically stable platinum electrodes with roughness factors of up to RF = 6500 +/- 700, compared to the state-of-the-art cyclic electrodeposition method this corresponds to an improvement in RF by 111%. Furthermore the time demand for fabrication is reduced by 59%, whereas the platinum utilization is increased by 53%. The method is particularly advantageous for applications such as micro fuel cells since it enables the precise deposition of catalytically active electrodes on micro-structured conductive areas. In this context the novel platinum electrodes show higher current densities for the oxidation of formic acid and glucose than state-of-the-art electrodes. In terms of methanol oxidation their catalytic activity is comparable to commercial direct methanol fuel cell (DMFC) electrodes, fabricated from Pt-Ru nanoparticles dispersed on carbon black. (C) 2013 Elsevier B.V. All rights reserved. |
5,837 | Biomedical production of implants by additive electro-chemical and physical processes | Biomanufacturing integrates life science and engineering fundamentals to produce biocompatible products enhancing the quality of life. The state-of-the-art of this rapidly evolving manufacturing sector is presented and discussed, in particular the additive electrical, chemical and physical processes currently being applied to produce synthetic and biological parts. This fabrication strategy is strongly material-dependent, so the main classes of biomaterials are detailed. It is explained the potential to process composite materials combining synthetic and biological materials, such as cells, proteins and growth factors, as well the interdependences between materials and processes. The techniques commonly used to increase the bioactivity of clinical implants and improve the interface characteristics between biological tissues and implants are also presented. (C) 2012 CIRP. |
5,838 | Insulator polymers achieve efficient catalysis under visible light due to contact electrification | Under the limitation of the carrier yield and mobility of semiconductor photocatalysts and the reaction domain, it seems that the photocatalytic efficiency cannot be greatly improved. Here, an efficient contact-electro-catalysis (CEC) system based on droplet triboelectric nanogenerator (TENG) is developed. Instead of using traditional semiconductor catalysts, the electric charge transferred during the electrification process of the contact between water droplets and polytetrafluoroethylene (PTFE) is used to participate in catalysis, and the output electrical signal can also monitor the degree of catalysis. The important role of light in the circulation of this CEC system is studied and discussed for the first time. It is proved that the contact electrification at the liquid-solid interface is accompanied by the generation of a large number of strong oxidizing radicals. The efficient transport of charge carriers driven by mechanical force and the active oxygen species distributed in the whole domain greatly improve the degradation rate of dyes. The experimental data show that the degradation efficiency of crystal violet (CV) reaches 90% within 38 s, and the rate constant k is as high as 3.7 min-1. This is a breakthrough in the field of catalysis. |
5,839 | Automated Classification of Apoptosis in Phase Contrast Microscopy Using Capsule Network | Automatic and accurate classification of apoptosis, or programmed cell death, will facilitate cell biology research. The state-of-the-art approaches in apoptosis classification use deep convolutional neural networks (CNNs). However, these networks are not efficient in encoding the part-whole relationships, thus requiring a large number of training samples to achieve robust generalization. This paper proposes an efficient variant of capsule networks (CapsNets) as an alternative to CNNs. Extensive experimental results demonstrate that the proposed CapsNets achieve competitive performances in target cell apoptosis classification, while significantly outperforming CNNs when the number of training samples is small. To utilize temporal information within microscopy videos, we propose a recurrent CapsNet constructed by stacking a CapsNet and a bi-directional long short-term recurrent structure. Our experiments show that when considering temporal constraints, the recurrent CapsNet achieves 93.8% accuracy and makes significantly more consistent prediction than NNs. |
5,840 | On the toxicity of gold nanoparticles: Histological, histochemical and ultrastructural alterations | Gold nanoparticles (Au NPs) are used in diagnostic and therapeutic applications together with a variety of industrial purposes and in many biomedical sectors with potential risks to human health. The present study aimed to the histological, histochemical, and ultrastructural alterations induced by Au NPS in vital organs. Healthy male Wistar Albino rats (Rattus norvegicus) were subjected to 20 injections of 10-nm Au NPs at a daily dose of 2 mg/kg. Liver, kidney, heart, and lung biopsies from control and Au NPs-treated rats under study were subjected to histological and histochemical examinations. In comparison with the control rats, the renal tissue of Au NPs-treated rats demonstrated glomerular congestion, interstitial inflammatory cell infiltration, renal tubular hydropic degeneration, cloudy swelling, necrosis, and hyaline cast precipitation. In addition, Au NPs induced the following hepatic alterations: hepatocyte cytolysis, cytoplasmic vacuolation, hydropic degeneration, and nuclear alterations together with sinusoidal dilatation. Moreover, the hearts of the treated rats demonstrated myocarditis, cardiac congestion, hyalinosis, cardiomyocyte hydropic degeneration, myofiber disarray and cardiac congestion. The lungs of Au NPs-treated rats also exhibited the following pulmonary alterations: alectasis, emphysema, inflammatory cell inflammation, thickened alveolar walls, pulmonary interstitial edema, congestion, hypersensitivity, fibrocyte proliferation, and honeycombing. In conclusion, exposure to Au NPs induced histological, histochemical and ultrastructural alterations in the vital organs that may alter the function of these organs. Additional efforts are needed for better understanding the potential risks of Au NPs to human health. |
5,841 | Spontaneous Pulmonary Embolism Leading to Sudden Cardiac Arrest and Perimortem C-Section in a 39-Week Parturient During Induction of Labor: A Case Report | We report the successful salvage of mother and baby after a perimortem cesarean delivery (PMCD) complicated by a 21-minute asystolic maternal cardiac arrest (MCA) that was precipitated by a pulmonary embolism during the early stages of induction of labor. With rapid PMCD, recovery of maternal quality of life is possible even after prolonged resuscitation. |
5,842 | The power of art to foster systems thinking, one of the key competencies of education for sustainable development | Systems thinking is one of the most difficult competencies for students to acquire. Nevertheless it is one of the key competencies of education for sustainable development. Although there is relatively little research available on the link between didactic approaches and sustainability competencies, it is clear that alternative ways of teaching, such as project based learning and multi-perspective and interdisciplinary thinking and working are more effective for acquiring this competency. In this paper we explore the power of art as a way to foster systems thinking and to distinguish between different ways of thinking about sustainability. We selected two paintings, Les fours Gigantesques by Rene Magritte and Sky and Water II by Maurits Escher, to explain a top-down and bottom-up approach to sustainability. The paper discusses how business students respond to art in a course on corporate social responsibility and how it helps them to understand the meaning of systems thinking. The findings reveal that these paintings are relevant for improving the comprehension of concepts related to sustainability. Moreover, they add an extra dimension to the cognitive understanding of systems thinking, i.e. enriching the whole person, reinforcing critical and creative thinking skills. (C) 2018 Elsevier Ltd. All rights reserved. |
5,843 | Environmental Sound Classification on the Edge: A Pipeline for Deep Acoustic Networks on Extremely Resource-Constrained Devices | Significant effort s are being invested to bring state-of-the-art classification and recognition to edge de-vices with extreme resource constraints (memory, speed, and lack of GPU support). Here, we demon-strate the first deep network for acoustic recognition that is small, flexible and compression-friendly yet achieves state-of-the-art performance for raw audio classification. Rather than handcrafting a once-off solution, we present a generic pipeline that automatically converts a large deep convolutional network via compression and quantization into a network for resource-impoverished edge devices. After introduc-ing ACDNet, which produces above state-of-the-art accuracy on ESC-10 (96.65%), ESC-50 (87.10%), Urban-Sound8K (84.45%) and AudioEvent (92.57%), we describe the compression pipeline and show that it allows us to achieve 97.22% size reduction and 97.28% FLOP reduction while maintaining close to state-of-the-art accuracy 96.25%, 83.65%, 78.27% and 89.69% on these datasets. We describe a successful implementation on a standard off-the-shelf microcontroller and, beyond laboratory benchmarks, report successful tests on real-world datasets.(c) 2022 Elsevier Ltd. All rights reserved. |
5,844 | Do the progression of experimentally induced gingivitis and peri-implant mucositis present common features? A systematic review of clinical human studies | This systematic review evaluated the features of the progression of experimentally induced gingivitis and peri-implant mucositis in humans. Included were studies that evaluated clinical, immunological, or microbiological responses between experimentally induced gingivitis and peri-implant mucositis in periodontally healthy patients. A total of 887 articles were initially identified, but only 12 were included in the final analysis. Implants accumulate less biofilm and suffer the most heterogeneous alterations in the microbiota, in the abstinence of oral hygiene, compared with the tooth. Interestingly, although dental implants presented less biofilm accumulation, the peri-implant mucosa showed a more exacerbated clinical response than the gingival tissue. The risk of bias of the selected studies was moderate to low, with one study presenting serious risk. The progression events of peri-implant mucositis were similar to those of experimental gingivitis but led to a different host response. This review was registered in the PROSPERO database CRD420201 123360. |
5,845 | Software-Defined Network Function Virtualization: A Survey | Diverse proprietary network appliances increase both the capital and operational expense of service providers, meanwhile causing problems of network ossification. Network function virtualization (NFV) is proposed to address these issues by implementing network functions as pure software on commodity and general hardware. NFV allows flexible provisioning, deployment, and centralized management of virtual network functions. Integrated with SDN, the software-defined NFV architecture further offers agile traffic steering and joint optimization of network functions and resources. This architecture benefits a wide range of applications (e.g., service chaining) and is becoming the dominant form of NFV. In this survey, we present a thorough investigation of the development of NFV under the software-defined NFV architecture, with an emphasis on service chaining as its application. We first introduce the software-defined NFV architecture as the state of the art of NFV and present relationships between NFV and SDN. Then, we provide a historic view of the involvement from middlebox to NFV. Finally, we introduce significant challenges and relevant solutions of NFV, and discuss its future research directions by different application domains. |
5,846 | Umbilical cord vessels other than the umbilical arteries and vein: a histological study of midterm human fetuses | At birth, the umbilical cord contains various types of thin vessels that are near and outside the umbilicus and separate from the umbilical arteries and vein. These vessels are regarded as the remnant "vitelline vessels" and are often called "umbilical vessels", although this terminology could lead to confusion with the true umbilical arteries and vein. No study has yet comprehensively examined these vessels using histological sections. Our examination of these vessels in 25 midterm fetuses (gestational age: 10-16 weeks) led to five major findings: (i) all specimens had umbilical branches of the inferior epigastric artery; (ii) 5 specimens had vitelline vein remnants; (iii) 4 specimens had a thin artery originating from the left hepatic artery that ran along the umbilical vein; (iv) 2 specimens had a so-called "para-umbilical vein" that was along the umbilical vein and reached the umbilicus; and (v) all specimens had lymphatic vessels originating from the umbilicus that ran caudally along the umbilical artery. The pelvic vein tributaries were well developed along the intra-abdominal umbilical artery, but did not reach the umbilicus. The lymphatic vessel was distinguished from the veins by an intraluminar cluster of lymphocytes attaching to the endothelium. The arterial branch in the umbilical cord did not accompany veins and lymphatic vessels, in contrast to the mother artery in the rectus abdominis. All these thin vessels seemed to be obliterated when the fibrous umbilical ring grew during late-term. The para-umbilical collateral vein in adults might develop outside the fibrous umbilical ring after birth. |
5,847 | The importance of bone sample selection when using radiocarbon analysis in cases of unidentified human remains | The radiocarbon (14C) analysis of skeletonised human remains can provide vital information regarding the time since death. This study analysed the 14C content in both cortical and trabecular bone from the femur and rib of 18 human remains donated to the Australian Facility for Taphonomic Experimental Research. To determine the most appropriate bone to sample for 14C analysis when estimating the time since death, differences in turnover time between the bone types, and the difference between environmental 14C during the year of death (YOD) and the level of 14C found within the bone (i.e., the lag time) were examined. Overall, the average lag time for all donors was 25 years, with the cortical bone from femur samples providing the largest lag time (39 years) and the trabecular bone from rib samples containing the lowest level of 14C (most modern), with an average lag time of 13 years. The results of this study suggest that in cases of unidentified human remains, the analysis of trabecular bone from a rib may be preferred sample, as this bone contains the most recent 14C, and can provide an estimate of both the time since death, and a broad approximation of YOD. |
5,848 | Treating inflammation to combat non-alcoholic fatty liver disease | Non-alcoholic fatty liver disease (NAFLD) with its more progressive form non-alcoholic steatohepatitis (NASH) has become the most common chronic liver disease, thereby representing a great burden for patients and healthcare systems. Specific pharmacological therapies for NAFLD are still missing. Inflammation is an important driver in the pathogenesis of NASH, and the mechanisms underlying inflammation in NAFLD represent possible therapeutic targets. In NASH, various intra- and extrahepatic triggers involved in the metabolic injury typically lead to the activation of different immune cells. This includes hepatic Kupffer cells, i.e. liver-resident macrophages, which can adopt an inflammatory phenotype and activate other immune cells by releasing inflammatory cytokines. As inflammation progresses, Kupffer cells are increasingly replaced by monocyte-derived macrophages with a distinct lipid-associated and scar-associated phenotype. Many other immune cells, including neutrophils, T lymphocytes - such as auto-aggressive cytotoxic as well as regulatory T cells - and innate lymphoid cells balance the progression and regression of inflammation and subsequent fibrosis. The detailed understanding of inflammatory cell subsets and their activation pathways prompted preclinical and clinical exploration of potential targets in NAFLD/NASH. These approaches to target inflammation in NASH include inhibition of immune cell recruitment via chemokine receptors (e.g. cenicriviroc), neutralization of CD44 or galectin-3 as well as agonism to nuclear factors like peroxisome proliferator-activated receptors and farnesoid X receptor that interfere with the activation of immune cells. As some of these approaches did not demonstrate convincing efficacy as monotherapies, a rational and personalized combination of therapeutic interventions may be needed for the near future. |
5,849 | Permanence via invasion graphs: incorporating community assembly into modern coexistence theory | To understand the mechanisms underlying species coexistence, ecologists often study invasion growth rates of theoretical and data-driven models. These growth rates correspond to average per-capita growth rates of one species with respect to an ergodic measure supporting other species. In the ecological literature, coexistence often is equated with the invasion growth rates being positive. Intuitively, positive invasion growth rates ensure that species recover from being rare. To provide a mathematically rigorous framework for this approach, we prove theorems that answer two questions: (i) When do the signs of the invasion growth rates determine coexistence? (ii) When signs are sufficient, which invasion growth rates need to be positive? We focus on deterministic models and equate coexistence with permanence, i.e., a global attractor bounded away from extinction. For models satisfying certain technical assumptions, we introduce invasion graphs where vertices correspond to proper subsets of species (communities) supporting an ergodic measure and directed edges correspond to potential transitions between communities due to invasions by missing species. These directed edges are determined by the signs of invasion growth rates. When the invasion graph is acyclic (i.e. there is no sequence of invasions starting and ending at the same community), we show that permanence is determined by the signs of the invasion growth rates. In this case, permanence is characterized by the invasibility of all [Formula: see text] communities, i.e., communities without species i where all other missing species have negative invasion growth rates. To illustrate the applicability of the results, we show that dissipative Lotka-Volterra models generically satisfy our technical assumptions and computing their invasion graphs reduces to solving systems of linear equations. We also apply our results to models of competing species with pulsed resources or sharing a predator that exhibits switching behavior. Open problems for both deterministic and stochastic models are discussed. Our results highlight the importance of using concepts about community assembly to study coexistence. |
5,850 | On the Confidence of Stereo Matching in a Deep-Learning Era: A Quantitative Evaluation | Stereo matching is one of the most popular techniques to estimate dense depth maps by finding the disparity between matching pixels on two, synchronized and rectified images. Alongside with the development of more accurate algorithms, the research community focused on finding good strategies to estimate the reliability, i.e., the confidence, of estimated disparity maps. This information proves to be a powerful cue to naively find wrong matches as well as to improve the overall effectiveness of a variety of stereo algorithms according to different strategies. In this paper, we review more than ten years of developments in the field of confidence estimation for stereo matching. We extensively discuss and evaluate existing confidence measures and their variants, from hand-crafted ones to the most recent, state-of-the-art learning based methods. We study the different behaviors of each measure when applied to a pool of different stereo algorithms and, for the first time in literature, when paired with a state-of-the-art deep stereo network. Our experiments, carried out on five different standard datasets, provide a comprehensive overview of the field, highlighting in particular both strengths and limitations of learning-based strategies. |
5,851 | Probabilistic saliency estimation | In this paper, we model the salient object detection problem under a probabilistic framework encoding the boundary connectivity saliency cue and smoothness constraints into an optimization problem. We show that this problem has a closed form global optimum solution, which estimates the salient object. We further show that along with the probabilistic framework, the proposed method also enjoys a wide range of interpretations, i.e. graph cut, diffusion maps and one-class classification. With an analysis according to these interpretations, we also find that our proposed method provides approximations to the global optimum to another criterion that integrates local/global contrast and large area saliency cues. The proposed unsupervised approach achieves mostly leading performance compared to the state-of-the-art unsupervised algorithms over a large set of salient object detection datasets including around 17k images for several evaluation metrics. Furthermore, the computational complexity of the proposed method is favorable/comparable to many state-of-the-art unsupervised techniques. (C) 2017 Elsevier Ltd. All rights reserved. |
5,852 | Luteolibacter marinus sp. nov., a novel bacterium in the family Verrucomicrobiaceae, isolated from marine sediment | A Gram-negative, rod-shaped, non-motile and strictly aerobic bacterium, designated NBU1238T, was isolated from marine sediment sampled on Meishan Island located in the East China Sea. Strain NBU1238T was able to grow optimally at 28-32 °C, at pH 7.5 and with no NaCl. Catalase and oxidase activities, H2S production and hydrolysis of Tweens 40 and 60 were positive. Methyl red reaction, Voges-Proskauer test and hydrolysis of starch, casein and Tweens 20 and 80 were negative. The major cellular fatty acids were iso-C14 : 0, C16 : 0, C16 : 1 ω9c and C14 : 0. The only respiratory quinone was menaquinone-9. The major polar lipids were diphosphatidylglycerol, phosphatidylethanolamine, phosphatidylglycerol and phosphatidylmethylethanolamine. The 16S rRNA gene sequence of strain NBU1238T showed 95.6, 95.6, 94.8 and 93.8% sequence similarity to Luteolibacter flavescens GKXT, Luteolibacter luteus G-1-1-1T, Luteolibacter arcticus MC 3726T and Luteolibacter pohnpeiensis A4T-83T, respectively. Phylogenetic analyses indicated that strain NBU1238T clustered with the genus Luteolibacter and was closely related to strains L. flavescens GKXT, L. arcticus MC 3726T and L. luteus G-1-1-1T. The average nucleotide identity and digital DNA-DNA hybridization values between strain NBU1238T and related species of genus Luteolibacter were well below the threshold limit for prokaryotic species delineation. The DNA G+C content of the genomic DNA was 65.0 mol%. Based on its phenotypic, chemotaxonomic and genotypic data, strain NBU1238T is considered to be a representative of a novel species in the genus Luteolibacter, for which the name Luteolibacter marinus sp. nov. is proposed. The type strain is NBU1238T (=KCTC 82227T=MCCC 1K04772T). |
5,853 | Considering the changing face of social media in higher education | There is currently much ongoing consideration as to how educators can make use of new technologies to engage students. The prevalence of social media use within both private and professional circles has made these technologies increasingly important for educators. This commentary briefly outlines some of the ways social media has been used in higher education and also some of the primary concerns. Current and future trends are also addressed. |
5,854 | Association of phthalate exposure with low birth weight in couples conceiving naturally or via assisted reproductive technology in a prospective birth cohort | Background: Few studies have investigated the adverse effects of preconception phthalate (PAE) exposure on birth weight in couples receiving assisted reproductive technology (ART) compared to naturally conceived newborns.Objectives: We examined the association between parental preconception/prenatal urinary phthalate exposure and low birth weight (LBW) risk in couples who conceived using ART or naturally.Methods: From the Jiangsu Birth Cohort Study (China), we recruited 544 couples who conceived after infertility treat-ment and 940 couples who conceived naturally and gave birth to a singleton infant between November 2014 and December 2019. Seventeen metabolites of phthalate and three metabolites of phthalate alternatives were analyzed in parental spot urine samples. Clinical data were collected from medical records. We used generalized linear models, elastic net regression, Bayesian kernel machine regression, and quantile-based g-computation to examine the individ-ual and joint effects of parental phthalate exposure on birth weight and LBW risk ratios (RR).Results: The relationship between parental phthalate exposure and birth weight was consistent between ART and nat-ural conception. Maternal exposure to mono-ethyl phthalate and mono-carboxyisooctyl phthalate was associated with an increased risk of LBW in ART-conceived infants (RR = 1.27; 95 % confidence interval (CI): 1.03, 1.56; and RR = 1.31; 95 % CI: 1.03, 1.67, respectively). In contrast, in the spontaneously conceived infants, higher paternal prenatal concentrations of mono-benzyl phthalate and mono-carboxyisononyl phthalate were associated with a 40 % and 53 % increase in LBW risk, respectively. Exposure to PAE mixtures was associated with LBW in ART-conceived infants, with the effects primarily driven by di-ethyl phthalate, benzylbutyl phthalate, and di-isononyl phthalate metabolites. Sex -specific LBW was observed, with females appearing to be more susceptible than males.Conclusions: Maternal preconception and paternal prenatal exposure to phthalates were associated with increased risk of LBW in infants. Compared with natural conception, ART-conceived fetuses were more sensitive to PAE mixtures, which requires further attention. |
5,855 | Biodiesel feedstock determines exhaust toxicity in 20% biodiesel: 80% mineral diesel blends | To address climate change concerns, and reduce the carbon footprint caused by fossil fuel use, it is likely that blend ratios of renewable biodiesel with commercial mineral diesel fuel will steadily increase, resulting in biodiesel use becoming more widespread. Exhaust toxicity of unblended biodiesels changes depending on feedstock type, however the effect of feedstock on blended fuels is less well known. The aim of this study was to assess the impact of biodiesel feedstock on exhaust toxicity of 20% blended biodiesel fuels (B20). Primary human airway epithelial cells were exposed to exhaust diluted 1/15 with air from an engine running on conventional ultra-low sulfur diesel (ULSD) or 20% blends of soy, canola, waste cooking oil (WCO), tallow, palm or cottonseed biodiesel in diesel. Physico-chemical exhaust properties were compared between fuels and the post-exposure effect of exhaust on cellular viability and media release was assessed 24 h later. Exhaust properties changed significantly between all fuels with cottonseed B20 being the most different to both ULSD and its respective unblended biodiesel. Exposure to palm B20 resulted in significantly decreased cellular viability (96.3 ± 1.7%; p < 0.01) whereas exposure to soy B20 generated the greatest number of changes in mediator release (including IL-6, IL-8 and TNF-α, p < 0.05) when compared to air exposed controls, with palm B20 and tallow B20 closely following. In contrast, canola B20 and WCO B20 were the least toxic with only mediators G-CSF and TNF-α being significantly increased. Therefore, exposure to palm B20, soy B20 and tallow B20 were found to be the most toxic and exposure to canola B20 and WCO B20 the least. The top three most toxic and the bottom three least toxic B20 fuels are consistent with their unblended counterparts, suggesting that feedstock type greatly impacts exhaust toxicity, even when biodiesel only comprises 20% of the fuel. |
5,856 | Dense Convolutional Networks for Semantic Segmentation | Recent studies have greatly promoted the development of semantic segmentation. Most state-of-the-art methods adopt fully convolutional networks (FCNs) to accomplish this task, in which the fully connected layer is replaced with the convolution layer for dense prediction. However, standard convolution has limited ability in maintaining continuity between predicted labels as well as forcing local smooth. In this paper, we propose the dense convolution unit (DCU), which is more suitable for pixel-wise classiffication. The DCU adopts dense prediction instead of the center-prediction manner used in current convolution layers. The semantic label for every pixel is inferred from those overlapped center/off-center predictions from the perspective of probability. It helps to aggregate contexts and embeds connections between predictions, thus successfully generating accurate segmentation maps. DCU serves as the classiffication layer and is a better option than standard convolution in FCNs. This technique is applicable and beneficial to FCN-based state-of-the-art methods and works well in generating segmentation results. Ablation experiments on benchmark datasets validate the effectiveness and generalization ability of the proposed approach in semantic segmentation tasks. |
5,857 | A 0.338 cm(3), Artifact-Free, 64-Contact Neuromodulation Platform for Simultaneous Stimulation and Sensing | Neuromodulation (NM) is the alteration of nervous tissue function through targeted delivery of a stimulus, such as electrical stimulation, into the affected neurological sites in the body. We present a bidirectional NM interface that features 100 mV(pp) linear input range and ability to sense data concurrent with stimulation (without blanking). The system includes a flexible 8-driver-to-64-contact custom waveform stimulator able to deliver up to 5.1 mA per driver and a 64-contact sensing unit with online blind artifact rejection unit. This artifact rejection unit removes stimulation artifacts from recorded data and allows extraction of neural biomarkers. The NM interface also features an efficient, integrated power management unit that can support various power delivery options. The proposed 64-contact interface satisfies design requirements of human-grade brain implants at unprecedented level of electronic miniaturization compared to state-of-the-art. |
5,858 | Planting Cyperus esculentus augments soil microbial biomass and diversity, but not enzymatic activities | The planting of Cyperus esculentus, a member of the grass family Cyperaceae which includes nut sedge weeds, is being increasingly promoted in northern China's semi-arid and arid regions. Yet the effects of planting C. esculentus upon soil quality and soil microbial characteristics of sandy land remain unclear. This study examined the short-term (1 year) impact of this grass species on soil microbial biomass indices, enzymatic activities, and microbiome characteristics in the Horqin Sandy Land area of China. The results show that planting C. esculentus could increase microbial biomass in the form of carbon (MBC), nitrogen (MBN), and phosphorus (MBP), but it negligibly influenced the enzymatic activities of soil β-1,4-glucosidase (BG), cellobiohydrolase (CBH), leucine aminopeptidase (LAP), and β-1,4-N-acetaminoglycosidase (NAG). Over 1 year, we found that planting C. esculentus significantly increased the soil bacterial richness and diversity of sandy land, yet also altered community composition of soil bacteria and eukaryotes in way that could promote their homogenization. In this respect, the relative abundances of Acidobacteria and Proteobacteria significantly decreased and increased, respectively; hence, they may be considered for use as important indicators of soil nutrient-rich conditions. Overall, the results could be explained by greater soil organic carbon (SOC) and total nitrogen (TN), mainly derived from cumulative plant litter input to soils, which then increased the sandy soil's C:N ratio. Future research should focus on exploring the long-term effects of planting C. esculentus on soil quality and soil microbial characteristics of sandy lands in China and abroad. |
5,859 | Non-traumatic adult acute abdomen with high-attenuation lesions or materials in the gastrointestinal tract on unenhanced computed tomography | Computed tomography (CT) is an imaging modality that provides otherwise unobtainable information in the diagnostic workup for acute abdomen. The patient's clinical history, physical examination, and laboratory findings are essential for a correct diagnosis; however, some diagnoses are difficult to establish. Although contrast-enhanced CT is the preferred diagnostic tool and provides invaluable information, using only post-contrast images can lead to misdiagnoses. Unenhanced CT images are more useful than post-contrast images for detecting high-attenuation lesions or materials because surrounding tissues also show high attenuation on post-contrast images. Unenhanced CT often provides key imaging findings for a correct diagnosis; hence, the purpose of this article is to describe CT findings in acute abdomen with high-attenuation lesions in the gastrointestinal tract. |
5,860 | Aspect Ratio Impact on RF and DC Performance of State-of-the-Art Short-Channel GaN and InGaAs HEMTs | We report a comparison between state-of-the-art GaN and InGaAs HEMTs in terms of the minimum aspect ratio required to limit short-channel effects. DC and RF simulations were carried out through our full-band cellular Monte Carlo simulator, which includes the full details of the band structure and the phonon spectra. Our results indicate that the minimum aspect ratio for GaN devices is 15 for negligible short-channel effects and 10 for reduced short- channel effects. On the other hand, InGaAs devices perform well for lower aspect ratio values such as 7.5 and 4-5 for negligible and reduced effects, respectively. The origin of this difference between GaN and InGaAs HEMTs is believed to be related to the different dielectric constants of the two materials and the corresponding difference in the electric field distributions related to short- channel effects. |
5,861 | Multi-site nerve block catheters for postoperative analgesia in extended scapulectomy and free-flap reconstruction | Scapulectomy is performed as a limb-sparing procedure in the management of tumours of the proximal humerus and shoulder girdle. Analgesic outcomes following this procedure are poorly documented in the literature. In our case, satisfactory analgesia following extended scapulectomy and free-flap reconstruction was achieved with a combination of multi-site continuous nerve block catheters and patient-controlled analgesia, for a patient with chronic pain who had a high pre-operative opioid requirement. Multiple continuous nerve block catheters were used, including interscalene and paravertebral catheters to provide analgesia for the shoulder resection, with a fascia iliaca compartment catheter providing analgesia to free-flap donor site on the the anterolateral thigh. These continuous nerve block catheters contributed to effective postoperative analgesia and low postoperative intravenous opioid requirements in this case. |
5,862 | Cloud-assisted body area networks: state-of-the-art and future challenges | Body area networks (BANs) are emerging as enabling technology for many human-centered application domains such as health-care, sport, fitness, wellness, ergonomics, emergency, safety, security, and sociality. A BAN, which basically consists of wireless wearable sensor nodes usually coordinated by a static or mobile device, is mainly exploited to monitor single assisted livings. Data generated by a BAN can be processed in real-time by the BAN coordinator and/or transmitted to a server-side for online/offline processing and long-term storing. A network of BANs worn by a community of people produces large amount of contextual data that require a scalable and efficient approach for elaboration and storage. Cloud computing can provide a flexible storage and processing infrastructure to perform both online and offline analysis of body sensor data streams. In this paper, we motivate the introduction of Cloud-assisted BANs along with the main challenges that need to be addressed for their development and management. The current state-of-the-art is overviewed and framed according to the main requirements for effective Cloud-assisted BAN architectures. Finally, relevant open research issues in terms of efficiency, scalability, security, interoperability, prototyping, dynamic deployment and management, are discussed. |
5,863 | High-quality genome of the basidiomycete yeast Dioszegia hungarica PDD-24b-2 isolated from cloud water | The genome of the basidiomycete yeast Dioszegia hungarica strain PDD-24b-2 isolated from cloud water at the summit of puy de Dôme (France) was sequenced using a hybrid PacBio and Illumina sequencing strategy. The obtained assembled genome of 20.98 Mb and a GC content of 57% is structured in 16 large-scale contigs ranging from 90 kb to 5.56 Mb, and another 27.2 kb contig representing the complete circular mitochondrial genome. In total, 8,234 proteins were predicted from the genome sequence. The mitochondrial genome shows 16.2% cgu codon usage for arginine but has no canonical cognate tRNA to translate this codon. Detected transposable element (TE)-related sequences account for about 0.63% of the assembled genome. A dataset of 2,068 hand-picked public environmental metagenomes, representing over 20 Tbp of raw reads, was probed for D. hungarica related ITS sequences, and revealed worldwide distribution of this species, particularly in aerial habitats. Growth experiments suggested a psychrophilic phenotype and the ability to disperse by producing ballistospores. The high-quality assembled genome obtained for this D. hungarica strain will help investigate the behavior and ecological functions of this species in the environment. |
5,864 | Self-Attention-Based Conditional Variational Auto-Encoder Generative Adversarial Networks for Hyperspectral Classification | Hyperspectral classification is an important technique for remote sensing image analysis. For the current classification methods, limited training data affect the classification results. Recently, Conditional Variational Autoencoder Generative Adversarial Network (CVAEGAN) has been used to generate virtual samples to augment the training data, which could improve the classification performance. To further improve the classification performance, based on the CVAEGAN, we propose a Self-Attention-Based Conditional Variational Autoencoder Generative Adversarial Network (SACVAEGAN). Compared with CVAEGAN, we first use random latent vectors to obtain more enhanced virtual samples, which can improve the generalization performance. Then, we introduce the self-attention mechanism into our model to force the training process to pay more attention to global information, which can achieve better classification accuracy. Moreover, we explore model stability by incorporating the WGAN-GP loss function into our model to reduce the mode collapse probability. Experiments on three data sets and a comparison of the state-of-art methods show that SACVAEGAN has great advantages in accuracy compared with state-of-the-art HSI classification methods. |
5,865 | Microsatellite Loci of the Atlantic Horseshoe Crab (Limulus polyphemus) Reveal Inter-Localities Genetic Diversity in the Coastal Waters of the Eastern and Northern Yucatan Peninsula | The American horseshoe crab (Limulus polyphemus) is an economically and ecologically important species, which is currently categorized as endangered in Mexico. L. polyphemus, one of four extant horseshoe crab species that constitute the class Merostomata, is distributed along the Atlantic coastline of the USA from Alabama to Maine and has another population on the coastline of Campeche, Yucatan, and Quintana Roo in the Yucatan Peninsula, Mexico. In the present study, we evaluated the genetic diversity and genetic structure of four separated localities along the coast of the Yucatan peninsula (Champoton, CH; Isla Arena, IA; Rio Lagartos, RL; and Holbox Island, HI), using nine microsatellite-type molecular markers for this species. The aim of this study is to obtain a baseline of the current level of genetic diversity, which would allow the monitoring of important changes over time. Multilocus analyses revealed moderate levels of genetic diversity (He, 0.5230 to 0.6389) and genetic structure within the whole study area (FST 0.025). The population from RL showed limited gene flows, differing significantly from the other sampling sites. The genetic information obtained in this study can support the implementation of management and conservation programs for this species in Mexico. |
5,866 | Controlling inversion disorder in a stoichiometric spinel magnet | In the study of frustrated quantum magnets, it is essential to be able to control the nature and degree of site disorder during the growth process, as many measurement techniques are incapable of distinguishing between site disorder and frustration-induced spin disorder. Pyrochlore-structured spinel oxides can serve as model systems of geometrically frustrated three-dimensional quantum magnets; however, the nature of the magnetism in one well-studied spinel, ZnFe2O4, remains unclear. Here, we demonstrate simultaneous control of both stoichiometry and inversion disorder in the growth of ZnFe2O4 single crystals, directly yielding a revised understanding of both the collective spin behavior and lattice symmetry. Crystals grown in the stoichiometric limit with minimal site inversion disorder contravene all the previously suggested exotic spin phases in ZnFe2O4. Furthermore, the structure is confirmed on the [Formula: see text] space group with broken inversion symmetry that induces antiferroelectricity. The effective tuning of magnetic behavior by site disorder in the presence of robust antiferroelectricity makes ZnFe2O4 of special interest to multiferroic devices. |
5,867 | Phages, anti-CRISPR proteins, and drug-resistant bacteria: what do we know about this triad? | Phages are viruses that infect bacteria, relying on their genetic machinery to replicate. To survive the constant attack of phages, bacteria have developed diverse defense strategies to act against them. Nevertheless, phages rapidly co-evolve to overcome these barriers, resulting in a constant, and often surprising, molecular arms race. Thus, some phages have evolved protein inhibitors known as anti-CRISPRs (∼50-150 amino acids), which antagonize the bacterial CRISPR-Cas immune response. To date, around 45 anti-CRISPRs proteins with different mechanisms and structures have been discovered against the CRISPR-Cas type I and type II present in important animal and human pathogens such as Escherichia, Morganella, Klebsiella, Enterococcus, Pseudomonas, Staphylococcus, and Salmonella. Considering the alarming growth of antibiotic resistance, phage therapy, either alone or in combination with antibiotics, appears to be a promising alternative for the treatment of many bacterial infections. In this review, we illustrated the biological and clinical aspects of using phage therapy; furthermore, the CRISPR-Cas mechanism, and the interesting activity of anti-CRISPR proteins as a possible weapon to combat bacteria. |
5,868 | Assessing single-locus CRISPR/Cas9-based gene drive variants in the mosquito Aedes aegypti via single-generation crosses and modeling | The yellow fever mosquito Aedes aegypti is a major vector of arthropod-borne viruses, including dengue, chikungunya, and Zika viruses. A novel approach to mitigate arboviral infections is to generate mosquitoes refractory to infection by overexpressing antiviral effector molecules. Such an approach requires a mechanism to spread these antiviral effectors through a population, for example, by using CRISPR/Cas9-based gene drive systems. Critical to the design of a single-locus autonomous gene drive is that the selected genomic locus is amenable to both gene drive and appropriate expression of the antiviral effector. In our study, we used reverse engineering to target 2 intergenic genomic loci, which had previously shown to be highly permissive for antiviral effector gene expression, and we further investigated the use of 3 promoters (nanos, β2-tubulin, or zpg) for Cas9 expression. We then quantified the accrual of insertions or deletions (indels) after single-generation crossings, measured maternal effects, and assessed fitness costs associated with various transgenic lines to model the rate of gene drive fixation. Overall, MGDrivE modeling suggested that when an autonomous gene drive is placed into an intergenic locus, the gene drive system will eventually be blocked by the accrual of gene drive blocking resistance alleles and ultimately be lost in the population. Moreover, while genomic locus and promoter selection were critically important for the initial establishment of the autonomous gene drive, it was the fitness of the gene drive line that most strongly influenced the persistence of the gene drive in the simulated population. As such, we propose that when autonomous CRISPR/Cas9-based gene drive systems are anchored in an intergenic locus, they temporarily result in a strong population replacement effect, but as gene drive-blocking indels accrue, the gene drive becomes exhausted due to the fixation of CRISPR resistance alleles. |
5,869 | 500 GHz-750 GHz Rectangular-Waveguide Vector-Network-Analyzer Calibrations | We develop an uncertainty analysis that captures the dominant sources of measurement error in state-of-the-art WM-380 (WR 1.5) rectangular-waveguide vector-network-analyzer measurements over the frequency range 500-750 GHz. We use the analysis to assess thru-reflect-line, thru-short-match, and thru-short-radiating-open calibrations. The comparison shows that thru-short-match and thru-short-radiating-open calibrations outperform thru-reflect-line calibrations, and that this is true even when multiple lines and optimal averaging are used to improve the thru-reflect-line calibrations. |
5,870 | Attributions for extreme weather events: science and the people | Both climate scientists and non-scientists (laypeople) attribute extreme weather events to various influences. Laypeople's attributions for these events are important as these attributions likely influence their views and actions about climate change and extreme events. Research has examined laypeople's attribution scepticism about climate change in general; however, few climate scientists are familiar with the processes underpinning laypeople's attributions for individual extreme events. Understanding these lay attributions is important for scientists to communicate their findings to the public. Following a brief summary of the way climate scientists calculate attributions for extreme weather events, we focus on cognitive and motivational processes that underlie laypeople's attributions for specific events. These include a tendency to prefer single-cause rather than multiple-cause explanations, a discounting of whether possible causes covary with extreme events, a preference for sufficient causes over probabilities, applying prevailing causal narratives, and the influence of motivational factors. For climate scientists and communicators who wish to inform the public about the role of climate change in extreme weather events, these patterns suggest several strategies to explain scientists' attributions for these events and enhance public engagement with climate change. These strategies include showing more explicitly that extreme weather events reflect multiple causal influences, that climate change is a mechanism that covaries with these events and increases the probability and intensity of many of these events, that human emissions contributing to climate change are controllable, and that misleading communications about weather attributions reflect motivated interests rather than good evidence. |
5,871 | Impact of a dam construction on the intertidal environment and free-living nematodes in the Ba Lai, Mekong Estuaries, Vietnam | The impact of high siltation and accumulation of organic and waste material in the intertidal of the dammed Ba Lai River in Vietnam as part of the Mekong estuarine system was investigated by means of marine free-living nematodes. Nutrients content (nitrate, ammonium, total phosphorus, total nitrogen), total suspended solids, total organic carbon, coliform, bacteria E. coli, pH, dissolved oxygen, total dissolved solids, methane and hydrogen sulfide concentration, and the nematode communities were characterized in sediment at selected stations along the river above and below the dam. Our results found elevated methane concentrations at the upstream side of the dam while hydrogen sulfide concentrations found to be highest in the downstream side of the dam. Furthermore, methane and hydrogen sulfide concentrations were correlated to nematode community characteristics such as trophic composition densities and genera composition. There was a clear difference between the communities above and below the dam. The discontinuous nematode community distribution indicated that the Ba Lai River is impacted by dam construction. Potentially the high deposition and eutrophication could turn the area into a methane-rich area related to predicted impact on nematodes. |
5,872 | Art of Generator Synchronizing | This paper presents a review of power-system synchronization, proper sync-check coordination, and fast synchronization methods. When paralleling two sources, it is crucial that the interconnecting circuit breaker be closed only when both sources are in voltage, frequency, and phase coincidence. An operator can synchronize manually or use one of the latest, state-of-the-art automatic synchronizers (ANSI/IEEE device 25A) and sync-check relays (ANSI/IEEE device 25) to automate closing. Generator and bus synchronization share most principles-with some important differences-for each type of synchronization. For generation plants, the method of generator synchronization selected depends greatly on the plant configuration and operating mode. For bus-line applications, the synchronizing method selected depends on the power-system "stiffness," motor loads, and whether a wye-delta transformer is located between the line and bus. |
5,873 | A hybrid approach to estimate the complex motions of clouds in sky images | Tracking the motion of clouds is essential to forecasting the weather and to predicting the short-term solar energy generation. Existing techniques mainly fall into two categories: variational optical flow, and block matching. In this paper, we summarize recent advances in estimating cloud motion using ground-based sky imagers and quantitatively evaluate state-of-the-art approaches. Then we propose a hybrid tracking framework to incorporate the strength of both block matching and optical flow models. To validate the accuracy of the proposed approach, we introduce a series of synthetic images to simulate the cloud movement and deformation, and thereafter comprehensively compare our hybrid approach with several representative tracking algorithms over both simulated and real images collected from various sites/imagers. The results show that our hybrid approach outperforms state-of-the-art models by reducing at least 30% motion estimation errors compared with the ground-truth motions in most of simulated image sequences. Moreover, our hybrid model demonstrates its superior efficiency in several real cloud image datasets by lowering at least 15% Mean Absolute Error (MAE) between predicted images and ground-truth images. (C) 2016 Elsevier Ltd. All rights reserved. |
5,874 | Highly Thermally Conductive Adhesion Elastomer Enhanced by Vertically Aligned Folded Graphene | Heat and stress transfer at an interface are crucial for the contact-based tactile sensing to measure the temperature, morphology, and modulus. However, fabricating a smart sensing material that combines high thermal conductivity, elasticity, and good adhesion is challenging. In this study, a composite is fabricated using a directional template of vertically aligned folded graphene (VAFG) and a copolymer matrix of poly-2-[[(butylamino)carbonyl]oxy]ethyl ester and polydimethylsiloxane, vinyl-end-terminated polydimethylsiloxane (poly(PBAx-ran-PDMS)). With optimized chemical cross-linking and supermolecular interactions, the poly(PBA-ran-PDMS)/VAFG exhibits high thermal conductivity (15.49 W m-1 K-1 ), an high elastic deformation, and an interfacial adhesion of up to 6500 N m-1 . Poly(PBA-ran-PDMS)/VAFG is highly sensitive to temperature and pressure and demonstrates a self-learning capacity for manipulator applications. The smart manipulator can distinguish and selectively capture unknown materials in the dark. Thermally conductive, elastic, and adhesive poly(PBA-ran-PDMS)/VAFG can be developed into core materials in intelligent soft robots. |
5,875 | Computational fluid dynamics simulation of forward osmosis (FO) membrane systems: Methodology, state of art, challenges and opportunities | Forward osmosis (FO) has attracted wide research attention owing to its potential application in seawater desalination. In the past decade, the research advancements in FO experimental studies have been accompanied by an increase in computational fluid dynamics (CFD) studies. With advanced CFD techniques, the complex flow patterns related to FO design and different operating conditions are now being studied and some solutions to existing problems are being suggested. Therefore, it is timely to review the CFD methodology, the detailed as-sumptions made and the mathematical models used for the FO processes. In addition, the problem of verification and validation is discussed in detail, together with the present state of art based on work over the last decade. Many FO CFD works have focused on varying membrane properties and operating conditions, while some have attempted to shed insight into the mechanisms that lead to flux enhancement. Finally, challenges and research opportunities related to FO CFD studies are provided. |
5,876 | Evaluating technological innovation impact: an empirical analysis of the offshore wind sector | This study analyzed the determinants that impact innovation on offshore wind energy (OSW) for a select group of countries, applying mixed-method approaches for a period between 2011 and 2021. The OSW sector witnessed cost reductions in recent years; therefore, this study analyzed how these factors impact technological innovation in the OSW sector. The fixed effects results proved trademark, carbon emissions, offshore wind capacity, and electricity from renewable energy, technical and scientific journals are significant and impact innovation regarding offshore wind energy. The maximum likelihood (MLE) coefficients are more robust than the restricted maximum likelihood (MREL) and better explained the significance of the variables in spurring OSW innovation. Ultimately, the interaction term "cross" came out significant in the analysis. It signified the importance of the interaction variables in scaling innovation. Similarly, the study forecasted OSW capacity additions to grow to more than 28GW by 2036, at a 48.8% growth rate, from the current over 55 G.W. capacity. Additionally, the infrastructure development of the OSW sector via a fitted line between total global offshore capacity and the development projects observed a negative relationship among these dual factors evaluated in the OSW, showing a decreasing trend of capacity additions among countries, as well as the fitted line relationship between total country OSW capacity and operational projects showed that China leads the globe with operational OSW projects. At the same time, Brazil is the new leader in the world regarding OSW capacity. The general analysis of the parameters of the OSW infrastructure plan showed the sector is declining regarding secured projects, development projects, operational projects, and capacities additions in some countries. However, global total capacity additions are on a steady path, declining a bit. This is attributable to the pandemic that slowed the global economy. This study will serve as a reference document for policy formulators regarding scaling up innovation for offshore wind energy. |
5,877 | Time-Dependent Deep Image Prior for Dynamic MRI | We propose a novel unsupervised deep-learning-based algorithm for dynamic magnetic resonance imaging (MRI) reconstruction. Dynamic MRI requires rapid data acquisition for the study of moving organs such as the heart. We introduce a generalized version of the deep-image-prior approach, which optimizes the weights of a reconstruction network to fit a sequence of sparsely acquired dynamic MRI measurements. Our method needs neither prior training nor additional data. In particular, for cardiac images, it does not require the marking of heartbeats or the reordering of spokes. The key ingredients of our method are threefold: 1) a fixed low-dimensional manifold that encodes the temporal variations of images; 2) a network that maps the manifold into a more expressive latent space; and 3) a convolutional neural network that generates a dynamic series of MRI images from the latent variables and that favors their consistency with the measurements in k-space. Our method outperforms the state-of-the-art methods quantitatively and qualitatively in both retrospective and real fetal cardiac datasets. To the best of our knowledge, this is the first unsupervised deep-learning-based method that can reconstruct the continuous variation of dynamic MRI sequences with high spatial resolution. |
5,878 | Enhancing EEG-Based Mental Stress State Recognition Using an Improved Hybrid Feature Selection Algorithm | In real-life applications, electroencephalogram (EEG) signals for mental stress recognition require a conventional wearable device. This, in turn, requires an efficient number of EEG channels and an optimal feature set. This study aims to identify an optimal feature subset that can discriminate mental stress states while enhancing the overall classification performance. We extracted multi-domain features within the time domain, frequency domain, time-frequency domain, and network connectivity features to form a prominent feature vector space for stress. We then proposed a hybrid feature selection (FS) method using minimum redundancy maximum relevance with particle swarm optimization and support vector machines (mRMR-PSO-SVM) to select the optimal feature subset. The performance of the proposed method is evaluated and verified using four datasets, namely EDMSS, DEAP, SEED, and EDPMSC. To further consolidate, the effectiveness of the proposed method is compared with that of the state-of-the-art metaheuristic methods. The proposed model significantly reduced the features vector space by an average of 70% compared with the state-of-the-art methods while significantly increasing overall detection performance. |
5,879 | Time Series Data Cleaning: A Survey | Errors are prevalent in time series data, which is particularly common in the industrial field. Data with errors could not be stored in the database, which results in the loss of data assets. At present, to deal with these time series containing errors, besides keeping original erroneous data, discarding erroneous data and manually checking erroneous data, we can also use the cleaning algorithm widely used in the database to automatically clean the time series data. This survey provides a classification of time series data cleaning techniques and comprehensively reviews the state-of-the-art methods of each type. Besides we summarize data cleaning tools, systems and evaluation criteria from research and industry. Finally, we highlight possible directions time series data cleaning. |
5,880 | Protein-corona formation on aluminum doped zinc oxide and gallium nitride nanoparticles | The interaction of semiconductor nanoparticles with bio-molecules attracts increasing interest of researchers, considering the reactivity of nanoparticles and the possibility to control their properties remotely giving mechanical, thermal, or electrical stimulus to the surrounding bio-environment. This work reports on a systematic comparative study of the protein-corona formation on aluminum doped zinc oxide and gallium nitride nanoparticles. Bovine serum albumin was chosen as a protein model. Dynamic light scattering, transmission electron microscopy and X-ray photoelectron spectroscopy techniques have been used to demonstrate the formation of protein-corona as well as the stability of the colloidal suspension given by BSA, which also works as a surfactant. The protein adsorption on the NPs surface studied by Bradford Assay showed the dependence on the quantity of proteins adsorbed to the available sites on the NPs surface, thus the saturation was observed at ratio higher than 5:1 (NPs:Proteins) in case of ZnO, these correlating with DLS results. Moreover, the kinetics of the proteins showed a relatively fast adsorption on the NPs surface with a saturation curve after about 25 min. GaN NPs, however, showed a very small amount of proteins adsorbed on the surface, a change in the hydrodynamic size being not observable with DLS technique or differential centrifugal sedimentation. The Circular Dichroism analysis suggests a drastic structural change in the secondary structure of the BSA after attaching on the NPs surface. The ZnO nanoparticles adsorb a protein-corona, which does not protect them against dissolution, and in consequence, the material proved to be highly toxic for Human keratinocyte cell line (HaCaT) at concentration above 25 µg/mL. In contrast, the GaN nanoparticles which do not adsorb a protein-corona, show no toxicity signs for HaCaT cells at concentration as high as 50 µg/mL, exhibiting much lower concentration of ions leakage in the culture medium as compared to ZnO nanoparticles. |
5,881 | PASE: Synthesizing Existing Transport Strategies for Near-Optimal Data Center Transport | Several data center transport protocols have been proposed in recent years (e.g., DCTCP, PDQ, and pFabric). In this paper, we first identify the underlying strategies used by the existing data center transports, namely, in-network Prioritization (used in pFabric), Arbitration (used in PDQ), and Self-adjusting at Endpoints (PASE) (used in DCTCP). We show that these strategies are complimentary to each other, rather than substitutes, as they have different strengths and can address each other's limitations. Unfortunately, prior data center transports use only one of these strategies. As a result, they either achieve near-optimal performance or deployment friendliness (i.e., require no changes to the data plane) but not both. Based on this insight, we design a data center transport protocol called PASE, which carefully synthesizes these strategies by assigning different transport responsibilities to each strategy. The key advantage of PASE over prior art is that it achieves both near-optimal performance as well as deployment friendliness. PASE does not require any changes in network switches (hardware or software); yet, it achieves comparable, or even better, performance than the state-of-the-art protocols (such as pFabric) that require changes to network elements. Our evaluation results show that the PASE performs well for a wide range of application workloads and network settings. |
5,882 | Securing Outsourced VNFs: Challenges, State of the Art, and Future Directions | It is becoming increasingly common for enterprises to outsource network functions to a third party provider such as a public cloud. Besides its well documented benefits in cost and flexibility, outsourcing also introduces security issues. Peeking into or modifying traffic destined to the cloud are not the only threats we have to deal with; it can also be desirable to protect VNF code, input policies, and states from a malicious cloud provider. In recent years several solutions have been proposed toward mitigating the threats of outsourcing VNFs, using either cryptographic or trusted hardware- based mechanisms (the latter typically applying SGX). In this article, we provide an overview of methods for protecting the security of outsourced network functions. We introduce the challenges and emerging requirements, analyze the state of the art, and identify the gaps between the requirements and existing solutions. Furthermore, we outline a potential way to fill these gaps in order to devise a more complete solution. |
5,883 | Efficient implementation of cryptographically useful "large" Boolean functions | We present low cost hardware architecture for implementing state-of-the-art theoretical constructions of secure Boolean functions suitable for stream ciphers. Using a pipelined architecture, we show that it is possible to implement systems which use Boolean functions of a relatively large number of variables. Our architecture is reconfigurable and provide a universal circuit for a certain class of secure Boolean functions. |
5,884 | Improving efficiency of entropy-driven DNA amplification biosensing through producing two label-free signal strands in one cycle | Entropy-driven circuits (EDC) provides one isothermal and non-enzymatic signal amplification strategy. But the efficiency of EDC signal amplification is not enough high because only one single strand can be produced in each cycle of the typical EDC system. In this work, we proposed one strategy to improve the amplification efficiency of EDC-based biosensing. In this strategy, two signal strands were produced in one cycle. The G-triplex (G3)-forming sequence was used as signal strand, and the G3/thioflavin T (G3/ThT) was used as label-free fluorescence reporter in this EDC-based biosensing. The detection limit of this method was estimated to be 3.4 pM for target DNA, which was about 10 times lower than that of the conventional EDC method. Furthermore, the response time was shortened from more than 1 h-0.5 h. In a word, one enzyme-free and label-free EDC strategy was proposed to construct an efficient nucleic acid biosensing platform. |
5,885 | Authenticating the writings of Julius Caesar | In this paper, we shed new light on the authenticity of the Corpus Caesarianum, a group of five commentaries describing the campaigns of Julius Caesar (100-44 BC), the founder of the Roman empire. While Caesar himself has authored at least part of these commentaries, the authorship of the rest of the texts remains a puzzle that has persisted for nineteen centuries. In particular, the role of Caesar's general Aulus Hirtius, who has claimed a role in shaping the corpus, has remained in contention. Determining the authorship of documents is an increasingly important authentication problem in information and computer science, with valuable applications, ranging from the domain of art history to counter-terrorism research. We describe two state-of-the-art authorship verification systems and benchmark them on 6 present-day evaluation corpora, as well as a Latin benchmark dataset. Regarding Caesar's writings, our analyses allow us to establish that Hirtius's claims to part of the corpus must be considered legitimate. We thus demonstrate how computational methods constitute a valuable methodological complement to traditional, expert-based approaches to document authentication. (C) 2016 Elsevier Ltd. All rights reserved. |
5,886 | Geometrical-based approach for robust human image detection | In recent years, object detection and classification has been gaining more attention, thus, there are several human object detection algorithms being used to locate and recognize human objects in images. The research of image processing and analyzing based on human shape is one of the hot topic due to the wide applicability in real applications. In this paper, we present a new object classification approach. The new approach will use a simple and robust geometrical model to classify the detected object as human or non-human in the images. In the proposed approach, the object is detected. Then the detected object under different conditions can be accurately classified (i.e. human, non-human) by combining the features that are extracted from the upper portion of the contour and the proposed geometrical model parameters. A software-based simulation using Matlab was performed using INRIA dataset and the obtained results are validated by comparing with five state-of-art approaches in literature and some of the machine learning approaches such as artificial neural networks (ANN), support vector machine (SVM), and random forest (RF). The experimental results show that the proposed object classification approach is efficient and achieved a comparable accuracy to other machine learning approaches and other state-of-art approaches. |
5,887 | Flagella, Chemotaxis and Surface Sensing | Based on genome analyses, it has been estimated that more than half of the bacteria have made an important investment into motility since they possess genes encoding the flagellar motor, the flagellum, chemosensory pathways and chemoreceptors. The metabolic burden associated with gene maintenance, protein synthesis and operating these systems is very important. A central question is thus to establish the physiological benefits that compensate such an important investment. In this chapter, we illustrate that benefits are multiple and diverse, including access to nutrients and preferred niches, biofilm formation and bacterial dispersal. There is also evidence that the complete range of advantages still remains to be defined. In these research efforts, Pseudomonas aeruginosa (PA) has played a central role and is among the central model species. Research conducted on PA had a significant impact in the field and has motivated many experiments in the study of other model bacterial species. |
5,888 | Segmentation-based tracking by support fusion | In this paper we present a novel fusion framework to combine the diverse outputs of arbitrary trackers, which are typically not directly combinable, allowing for significantly increasing the tracking quality. Our main idea is first to transform individual tracking outputs such as motion inliers, bounding boxes, or specific target image features to a shared pixel-based representation and then to run a fusion step on this representation. The fusion process additionally provides a segmentation, which, in turn, further allows for a dynamic weighting of the specific trackers' contributions. In particular, we demonstrate our fusion concept by combining three diverse heterogeneous tracking approaches that significantly differ in methodology as well as in their reported outputs. In the experiments we show that the proposed fusion strategy can successfully handle highly complex non-rigid object scenarios where the individual trackers and state-of-the-art (non-rigid object and fusion based) trackers fail. We demonstrate high performance on a large number of challenging sequences, where we clearly outperform the individual trackers as well as state-of-the-art tracking approaches. (c) 2013 Elsevier Inc. All rights reserved. |
5,889 | DRESS LIGHT DESIGN | A short review of some state-of-the-art examples in dress light design is given. The review follows on from the publication with participation of the author in the Svetotekhnika Journal #4 2011. |
5,890 | Diffuse Optical Tomography Enhanced by Clustered Sparsity for Functional Brain Imaging | Diffuse optical tomography (DOT) is a noninvasive technique which measures hemodynamic changes in the tissue with near infrared light, which has been increasingly used to study brain functions. Due to the nature of light propagation in the tissue, the reconstruction problem is severely ill-posed. For linearized DOT problems, sparsity regularization has achieved promising results over conventional Tikhonov regularization in recent experimental research. As extensions to standard sparsity, it is widely known that structured sparsity based methods are often superior in terms of reconstruction accuracy, when the data follows some structures. In this paper, we exploit the structured sparsity of diffuse optical images. Based on the functional specialization of the brain, it is observed that the in vivo absorption changes caused by a specific brain function would be clustered in certain region(s) and not randomly distributed. Thus, a new algorithm is proposed for this clustered sparsity reconstruction (CSR). Results of numerical simulations and phantom experiments have demonstrated the superiority of the proposed method over the state-of-the-art methods. An example from human in vivo measurements further confirmed the advantages of the proposed CSR method. |
5,891 | Should we manage the process of inventing? Designing for patentability | Intellectual property is considered to provide the infrastructure of innovation, and companies could proactively generate their intellectual assets and strengthen the business opportunities by focusing on discovery phases. This paper examines whether the invention process can be managed and finds that patents appear not only as a result of inventive activity but as the purpose as well. By building on recent design theories such as the concept-knowledge design theory, this research introduces a general framework that enables controlling for 'patentability' criteria, describes a patent in a unique way using actions, effects, and associated knowledge, and defines a patentable subject matter based on the notion of the person skilled in the art. Using the introduced model, several patent design methods are compared and their performances are characterized. The model was tested within the European semiconductor manufacturer, STMicroelectronics. The results indicate that the quality of patent proposals depends on the capacity to extend existing knowledge combinations, to overcome the initial design reasoning of the person skilled in the art, and to ensure novelty and sufficient inventive step. Finally, the proposed model in this research, the 'design-for-patentability' model, demonstrates that there is an unexplored property of the concept-knowledge design theory-non-substitution-showing that the order within design is irreversible and influences the quality of results. |
5,892 | Leukocyte integrin α4β7 associates with heat shock protein 70 | The leukocyte integrin cell adhesion molecules α4β7 and αEβ7 mediate the homing and retention of lymphocytes to the gut, and sites of inflammation. Here we have identified heat shock protein 70 (HSP70) as a major protein that associates with the cytoplasmic domain of the integrin β7 subunit. HSPs are molecular chaperones that protect cells from stress but more recently have been reported to also regulate cell adhesion and invasion via modulation of β1, β2, and β3 integrins and integrin-associated signalling molecules. Several HSP70 isoforms including HSP70-3, HSP70-1L, HSP70-8, and HSP70-9 were specifically precipitated from T cells by a bead-conjugated β7 subunit cytoplasmic domain peptide and subsequently identified by high-resolution liquid chromatography-tandem mass spectrometry. In confirmation, the β7 subunit was co-immunoprecipitated from a T cell lysate by an anti-HSP70 antibody. Further, recombinant human HSP70-1a was precipitated by β7 cytoplasmic domain-coupled beads. The HSP70 inhibitor KNK437 decreased the expression of HSP70 without affecting the expression of the β7 integrin. It significantly inhibited α4β7-mediated adhesion of T cells to mucosal addressin cell adhesion molecule 1 (MAdCAM-1), suggesting HSP70 is critical for maintaining β7 integrin signalling function. The functional implications of the association of β7 integrins with the different isoforms of HSP70 warrants further investigation. |
5,893 | Automatic visual inspection for printed circuit board via novel Mask R-CNN in smart city applications | The increasing population in the whole world demands adequate infrastructure to satisfy varied requirements. To fulfill this requirement, the introduction of information techniques presents an opportunity for the development of smart cities. For instance, an automatic visual inspection can be employed to replace the role of workers in quality management and streamlines automation. Previously, a large amount of machine vision-based algorithms has been presented to address this problem. However, accurate detection of various tiny integrated circuits remains an unresolved issue. To bridged this gap, a novel deep learning-based approach was proposed for instance segmentation in printed circuit board images. By adding the geometric attention-guided mask branch into the fully convolutional one-stage object detector under the framework of Mask R-CNN, it can produce a segmentation mask for each bounding box to enhance the identification accuracy. To evaluate the ability of the proposed approach, the comparison experiments were conducted between state-of-the-art techniques and ours. Experimental results demonstrate that the presented algorithm outperformed the state-of-the-art both in precision, sensitivity, and accuracy for both small devices like resistors and capacitors as well as integrated circuits. |
5,894 | Dengue and Zika virus differential infection of human megakaryoblast MEG-01 reveals unique cellular markers | Platelet count is widely used for the diagnosis and follow-up of patients with dengue. Despite its close viral structural and symptomatic homology, ZIKV infection does not typically induce significant thrombocytopenia. To determine the effect of DENV-2 and ZIKV infection on human platelet precursors we utilized MEG-01 cell line to evaluate the viral infection, viability, innate gene expression and release of platelet-like particles (PLPs). DENV-2 induced a higher proportion of cell death at 48-72 h post-infection than ZIKV. The median range of intracellular NS1+/E+ cells was 11.2% (3.3%-25%) and 5% (3%-8.1%) for DENV-2 and ZIKV, respectively (p = 0.03). MEG-01 cells infected with DENV-2 quickly expressed higher levels of IFN-β, indolamine 2,3-dioxygenase and CXCL10 mRNA compared to ZIKV infected cells and DENV-2 but not ZIKV infection reduced the number PLPs from stimulated MEG-01 cells. The results shed light into mechanisms including thrombocytopenia present in patients with DENV but absent in ZIKV infections. |
5,895 | Development of venetoclax performance using its new derivatives on BCL-2 protein inhibition | Cancer cells are resistant to apoptosis and this is one of the most obvious symptoms of cancer in humans. One of the most exciting strategies for treating cancer is to design regulators that increase cell death and stop cell growth. Members of the BCL-2 family of proteins play an important role in the regulation of apoptosis. In this study, an attempt was made to improve the performance of one of the anticancer drugs by designing new analogs of venetoclax (VNT). For this purpose, molecular docking studies were performed to determine the best binding state of VNT and its newly designed derivatives at the protein-binding site to estimate the binding energy. The best analog in terms of free energy was VNT-12 with the lowest energy (-12.15 kcal/mol). Finally, to investigate the inhibitory effect of the compounds on BCL-2 protein, molecular dynamics simulation was used, and by performing the relevant analyses during the simulation, it was observed that the newly designed ligand had better performance in inhibiting BCL-2 protein compared to VNT. |
5,896 | MMICs and Mixed-Signal ICs Based on III/V Technology for Highest Frequencies and Data Rates | During the last years, the Fraunhofer IAF developed a variety of state-of-the-art millimeter-wave monolithic integrated circuits (MMICs) and modules for application in active and passive high-resolution imaging systems operating beyond 200 GHz as well as mixed-signal monolithic ICs intended for use in 100 Gbit/s optical communication systems (Ethernet). The MMICs are based on an advanced metamorphic high electron mobility transistor (mHEMT) technology in combination with grounded coplanar waveguide (GCPW) circuit topology. The mixed-signal ICs are manufactured using a state-of-the-art InP double heterojunction bipolar transistor (DHBT) technology. Examples of high-performance circuits from both technologies are presented in this paper. |
5,897 | Fully Automatic Myocardial Segmentation of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model | Myocardial contrast echocardiography (MCE) is an imaging technique that assesses left ventricle function and myocardial perfusion for the detection of coronary artery diseases. Automatic MCE perfusion quantification is challenging and requires accurate segmentation of the myocardium from noisy and time-varying images. Random forests (RF) have been successfully applied to many medical image segmentation tasks. However, the pixel-wise RF classifier ignores contextual relationships between label outputs of individual pixels. RF which only utilizes local appearance features is also susceptible to data suffering from large intensity variations. In this paper, we demonstrate how to overcome the above limitations of classic RF by presenting a fully automatic segmentation pipeline for myocardial segmentation in full-cycle 2-D MCE data. Specifically, a statistical shape model is used to provide shape prior information that guide the RF segmentation in two ways. First, a novel shape model (SM) feature is incorporated into the RF framework to generate a more accurate RF probability map. Second, the shape model is fitted to the RF probability map to refine and constrain the final segmentation to plausible myocardial shapes. We further improve the performance by introducing a bounding box detection algorithm as a preprocessing step in the segmentation pipeline. Our approach on 2-D image is further extended to 2-D+t sequences which ensures temporal consistency in the final sequence segmentations. When evaluated on clinical MCE data sets, our proposed method achieves notable improvement in segmentation accuracy and outperforms other state-of-the-art methods, including the classic RF and its variants, active shape model and image registration. |
5,898 | People detection with omnidirectional cameras using a spatial grid of deep learning foveatic classifiers | A novel deep-learning people detection algorithm using omnidirectional cameras is presented, which only requires point-based annotations, unlike most of the prominent works that require bounding box annotations. Thus, the effort of manually annotating the needed training databases is significantly reduced, allowing a faster system deployment. The algorithm is based on a novel deep neural network architecture that implements the concept of Grid of Spatial-Aware Classifiers, but allowing end-to-end training that improves the performance of the whole system. The designed algorithm satisfactorily handles the severe geometric distortions of the omnidirectional images, which typically degrades the performance of state-of-the-art detectors, without requiring any camera calibration. The algorithm has been evaluated in well-known omnidirectional image databases (PIROPO, BOMNI, and MW-18Mar) and compared with several works of the state of the art.(c) 2022 The Author(s). Published by Elsevier Inc.& nbsp; |
5,899 | Longitudinal Invariance of the Strengths and Difficulties Questionnaire Across Ages 4 to 16 in the ALSPAC Sample | The Strengths and Difficulties Questionnaire (SDQ) has been widely used to study children's psychosocial development longitudinally; however, such analyses assume longitudinal measurement invariance, that is, they presuppose that symptom manifestations are measured comparably across different ages. Violations of this assumption could bias longitudinal analyses and should therefore be empirically tested. This study tested longitudinal measurement invariance within a confirmatory factor analysis framework in the U.K.-based Avon Longitudinal Study of Parents and Children (N = 13,988). Results indicated that SDQ scores showed configural, metric, scalar, and residual invariance across ages 7, 8, 9, 11, 13, and 16, supporting its use for comparing variances, covariances, and means over time within a latent variable model as well as using observed scores. At age 4, configural invariance was not supported, indicating that mental health symptoms as measured by the SDQ manifest differently at this age, thus necessitating caution when comparing symptoms as measured by SDQ scores at this age to later ages. |
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