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0.489714 | c567811153a64427bef1906941bf400f | Proton Nuclear Magnetic Resonance Spectra of A AM-zein, B AM-zein-SA, and C SA | PMC9862550 | 12951_2023_1777_Fig6_HTML.jpg |
0.479825 | aad5ace4117f448580d3d64869e9b514 | SEM images of A AM-zein, B AM-zein-SA, C EB@AM-zein, and D EB@AM-zein-SA | PMC9862550 | 12951_2023_1777_Fig7_HTML.jpg |
0.457339 | 83d0e86cec844b669b77aa548a59e783 | Particle size distribution of A-2 AM-zein, B-2 AM-zein-SA, C-2 EB@AM-zein, and D-2 EB@AM-zein-SA | PMC9862550 | 12951_2023_1777_Fig8_HTML.jpg |
0.466944 | 4d76b83e687b4f0f90e1a9e883198ae8 | The particle sizes of A EB@AM-zein and B EB@AM-zein-SA during storage. The experimental data were measured three replicates; a statistically significant difference between treatments compared with control is indicated by different small alphabets (a–d). Error bars indicate the least considerable value (LSD) at p ≤ 0.05 among the treatments | PMC9862550 | 12951_2023_1777_Fig9_HTML.jpg |
0.418774 | 161ca12d352a4298a7a0595323a60e83 | Photo of the sample S03 with the two artificial flaws (left: OF30%, right: OF70%). The transducer was scanned over the opposite side of the plate. | PMC9862802 | materials-16-00506-g001.jpg |
0.482365 | 49375e5083cb4ae9b54e60e57fda7128 | Schematic view of the differential eddy current transducer and arrangement over the sample. EA, EB, EC, ED—excitation coils, S—pick-up coil, core—ferrite core, φx, φy—magnetic fluxes generated by the pairs of excitation coils. | PMC9862802 | materials-16-00506-g002.jpg |
0.468668 | e38f974d2a754828bf988dc6f34e290b | Photo of the transducer protected by the tape (bottom view). | PMC9862802 | materials-16-00506-g003.jpg |
0.535949 | cc6f161c78f24b0e9247badfc516e626 | Measuring system. | PMC9862802 | materials-16-00506-g004.jpg |
0.387125 | 44a26c44a5c94a5e99eaec2b6825fa36 | Relative voltage changes δu caused by the material influence plotted as a function of the excitation frequency f. | PMC9862802 | materials-16-00506-g005.jpg |
0.41575 | a7f73068dc284dc4b2405ec43694b3ab | Relative voltages for various excitation frequencies as a function of sensor position (a) OF70%; (b) OF30%. | PMC9862802 | materials-16-00506-g006.jpg |
0.433632 | 3040cdaccecc4102967537ef5a59884d | Spectrograms of relative voltage (a) OF70%, (b) OF30%. | PMC9862802 | materials-16-00506-g007.jpg |
0.424507 | e649dbb16241480d8d4703bc62624c29 | Maximum relative voltages as a function of the excitation frequency. The red line approximates data for OF70%, while the blue line approximates data for OF30%. | PMC9862802 | materials-16-00506-g008.jpg |
0.428049 | 3353c4a0226f4fd6b82a914381b8c6c8 | Two-dimensional plot of the relative voltage as a function of the sensor position; excitation frequency f = 2 MHz; a raw signal before background removal. | PMC9862802 | materials-16-00506-g009.jpg |
0.488026 | 3f4b9ad9bfe944a78f3f2cfd8e7b455d | Two-dimensional plots of the relative voltage as a function of sensor position; excitation frequency f = 2 MHz; the raw signals before background removal; (a) OF70%, (b) OF30%. | PMC9862802 | materials-16-00506-g010.jpg |
0.433944 | 68cc417978c64005851ecbb173dc82f5 | Signal processing algorithm for the background signal removal. | PMC9862802 | materials-16-00506-g011.jpg |
0.479491 | b85da63d1c4c48ce9c3a9eaab7f45d8e | Two-dimensional plots of the background signals estimated for the excitation frequency f = 2 MHz, which were utilized to correct signals measured for the flaw: (a) OF70%, (b) OF30%. | PMC9862802 | materials-16-00506-g012.jpg |
0.437309 | 8faf67acd3784f7eb60f20daaee5c3a5 | Two-dimensional plot of the relative voltage after background removal; excitation frequency f = 2 MHz. | PMC9862802 | materials-16-00506-g013.jpg |
0.506593 | 29a2954dd6734ab19210217d988442a3 | Two-dimensional plot of the relative voltage after background signal removal; excitation frequency f = 2 MHz; plot for the flaw: (a) OF70%, (b) OF30%. | PMC9862802 | materials-16-00506-g014.jpg |
0.426033 | 1fdbed18f1ad4f92831e61520cd672fd | Two-dimensional plot of the relative voltage after background signal removal; excitation frequency f = 2 MHz; plots of the signals measured for the same side flaws (inner flaws): (a) IF70%, (b) IF30%. | PMC9862802 | materials-16-00506-g015.jpg |
0.413728 | 60caeb2722c744b79b31b682c12f9970 | Tencent Streetview pictures of downtown Guiyang (selected). | PMC9863786 | ijerph-20-01646-g001.jpg |
0.414592 | 4dcf5c484abc453094a039b2a377c5a4 | Quantitative street space indicator interpretation map [48]. | PMC9863786 | ijerph-20-01646-g002.jpg |
0.444616 | ce41fd98fd744625888b5c0cbfb68cb2 | Process of street space classification. | PMC9863786 | ijerph-20-01646-g003.jpg |
0.442219 | 557594bed5e3472e8d36cdb5d704048f | Identification of the type and level of grid vitality based on POI data. | PMC9863786 | ijerph-20-01646-g004.jpg |
0.428721 | 996a309371b145339ce04d46e1c6a5a1 | Layout of vitality types against street space patterns. | PMC9863786 | ijerph-20-01646-g005.jpg |
0.458322 | 25e88df6b5a243b5af31f46110197bf6 | Layout of vitality levels against different street space patterns. | PMC9863786 | ijerph-20-01646-g006.jpg |
0.418379 | 6023230158e140b19a7dac0d49416b2f | Selected gastrointestinal, oral, and nasal microbiome biomarkers and related diseases. Figure prepared by the authors. | PMC9864681 | sensors-23-00837-g001.jpg |
0.386528 | 540afa67d9084a499ab6a8caa53fed61 | Amperometric detection principles of (A) an acetate biosensor using acetate kinase (AK), pyruvate kinase (PK), and pyruvate oxidase (POx), and (B) a propionate biosensor using propionate CoA-transferase (PCT) and short-chain acyl-CoA oxidase (SCAOx). Adapted from [34] with permission. | PMC9864681 | sensors-23-00837-g002.jpg |
0.387041 | 045b4a9776a44e7a9d1bb457ebb53689 | (A) Schematic view of the microfluidic setup and sensing layer synthesis for the determination of SCFAs and (B) Nyquist spectra of the sensing layer at various concentrations of acetic acid and propionic acid in a mixture with 0.5 mg mL−1 butyric acid. Adapted from [35] with permission. | PMC9864681 | sensors-23-00837-g003.jpg |
0.412221 | 32f3e3ab08cb4a78ad9ec7336b62465d | (A) Microfluidic chip and holder, and the different components of the cartridge. (B) Scheme of the magneto-immunoassay format for the determination of MPO: (1) anti-MPO-biotin; (2) biotin used as blocker; (3) anti-MPO-HRP. Adapted from [59] with permission. | PMC9864681 | sensors-23-00837-g004.jpg |
0.453785 | 19b2e1d9dff846ed8856858a4d949bba | Schematic illustrations of: (A) the SPCE/AuNPs/Au-nano-dendroids/GO/anti-ALP probe for the determination of ALP in serum, and (B) the electrochemical assay of ALP activity based on the enzyme-catalyzed reaction. Adapted from [66,67], respectively, with permission. | PMC9864681 | sensors-23-00837-g005.jpg |
0.45396 | 3fd6f6f376834ff095802e451f0328f3 | Illustrative schemes of: (A) the preparation procedure of PtNi@Cu-TCPP(Fe)-Ab2 bioconjugate, and (B) the construction of the sandwich immunosensor. Reprinted from [74] with permission. | PMC9864681 | sensors-23-00837-g006.jpg |
0.43574 | e4f1d47b91394cc2975e4cb7cc71ecf8 | Schematic illustrations of some electrochemical immunosensors for the determination of IL-8: (A) a sandwich-type immunoassay using a polyenzyme label on diaphorase (DI-3) and neutravidin; (B) the synthesis of β-Ag2-MoO4 NPs and immunoelectrode fabrication; (C) fabrication of an AuNPs-rGO based immunosensor; (D) steps for preparation of an impedimetric immunosensor. Reprinted from (A) [101], (B) [102]; (C) [103] and (D) [104] with permission. | PMC9864681 | sensors-23-00837-g007.jpg |
0.44236 | 9eeed87fb77b4caca9aa6a0cab03b190 | Schematic of an electrochemical aptasensor for the simultaneous and real-time monitoring of VEGF, IFN-γ and TNF-α. Reproduced from [126] with permission. | PMC9864681 | sensors-23-00837-g008.jpg |
0.433813 | 0d92173781ec44a5a6e6a991014f5836 | Power Analysis for Sample Size Adequacy. | PMC9864702 | ijerph-20-01508-g001.jpg |
0.398252 | 501ad6b7741b4d1ba66bd10a8ecf1c04 | ROC curves for all three logistic regression models (DV1, DV2, and DV3). | PMC9864702 | ijerph-20-01508-g002.jpg |
0.399401 | 60f51a1b37e043c5a339e5bf26866387 | Genetic screening for modulators of Aβ toxicity. (A) Mating GAL10-MFα-Aβ1–42-GFP strain with KO yeast collection. A yeast strain overexpressing MFα-Aβ1–42-GFP was mated with a yeast collection of 5154 mutants. A synthetic genetic array (SGA) was performed as indicated in the M&M section to obtain mutant KO yeasts that overexpress MFα-Aβ1–42-GFP. (B) Phenotype comparison with and w/o galactose (upper panels) and quantification with Cell Profile (lower panels). | PMC9865122 | ijms-24-01278-g001.jpg |
0.450242 | 8a9c0f6a922944e3bad224a8c1340f46 | Expression of Aβ1–42 and its effect in yeast. (A) Aβ1–42 construct contains the mating factor α (MFα) pre-pro-leader sequence secretion signal at the N-terminal and a GFP tag at the C-terminal fused with a gly-ala linker (in brown). (B,C) Western blot analysis of Aβ1–42-GFP expression using an anti-GFP antibody (B) and representative Aβ1–42-GFP confocal images (C) in yeast transformed with wild-type (WT), Dutch or Arctic Aβ1–42 or with an empty vector (control) and cultured for 6 h at 30 °C in inducing (galactose) medium. A strain constitutively expressing GFP was used as a positive control. Glycosylated MFα-Aβ1–42-GFP is labelled as 1, non-glycosylated MFα-Aβ1–42-GFP is marked as 2 and Aβ1–42-GFP corresponds to 3. (D) Serial dilutions of yeast transformed with WT, Dutch or Arctic Aβ1–42 or with an empty vector (control) and spotted on inducing (galactose) and non-inducing (glucose) medium for 3 days at 30 °C. (E) Quantification of mean growth calculated after 3 days in inducing medium divided by the growth in non-inducing medium (Gal/Glu). Data are the mean ± SEM of 11–16 experiments. *** p < 0.001 vs. control, ## p < 0.01, # p < 0.05 vs. WT by ANOVA plus Bonferroni as post hoc test. | PMC9865122 | ijms-24-01278-g002.jpg |
0.424166 | 4132006f95964420b99c731edfc2cc90 | Reactome pathway enrichment of the network created with the 238 mammalian orthologues. Enrichment ratios are given for each pathway. Enrichment ratios were obtained from WebGestalt. | PMC9865122 | ijms-24-01278-g003.jpg |
0.490686 | cd6afa01faf34114be2fe388c288ea0f | Cluster with the highest MCODE score is shown in yellow. Amyloid toxicity protective genes can be seen in blue and enhancer genes can be seen in salmon. | PMC9865122 | ijms-24-01278-g004.jpg |
0.414195 | e0ac47075b96447c8fb25bb7db657bee | Subnetwork of genes associated with SOCE and connected to SURF4. | PMC9865122 | ijms-24-01278-g005.jpg |
0.572203 | 0cacac6ee58e46eeaef59e391d3a9906 | SURF4 contributes to Aβ1–42 toxicity on neuroblastoma cells. (A) Human neuroblastoma cells were transfected with SURF4 siRNA or with a non-active control siRNA, and after 48 h the levels of SURF mRNA were quantified by semi-quantitative rtPCR. Data are the mean ± SEM of 3 independent experiments. **** p < 0.0001 vs. control by Student’s t-test. (B,C) Cells transfected with SURF4 siRNA were treated with 5 µM (B) or 10 µM (C) oAβ1–42 for 24 h. Data are the mean ± SEM of 3–10 independent experiments. * p < 0.05 vs. control by Student’s t-test. (D) Human neuroblastoma cells were transfected with a plasmid containing the sequence of human SURF4 or with a non-coding control (pcDNA3), and after 48 h the levels of SURF mRNA were quantified by semi-quantitative rtPCR. Data are the mean ± SEM of 3 independent experiments. **** p < 0.0001 vs. control by Student’s t-test. (E,F) Cells transfected with the plasmid to overexpress SURF4 were treated with 5 µM (B) or 10 µM (C) oAβ1–42 for 24 h. Data are the mean ± SEM of 4 independent experiments. ** p < 0.01 and * p < 0.5 vs. control by Student’s t-test. | PMC9865122 | ijms-24-01278-g006.jpg |
0.435593 | 5e2eadbcaaa34de5becc523dda5ef2f6 | SURF4 conditions SOCE activity. (A,B) Human neuroblastoma cells were transfected with SURF4 siRNA (A) or with a plasmid to overexpress SURF4 (B), and after 48 h the levels of calcium were measured by using FURA2. Data are the mean ± SEM of 4–7 independent experiments. *** p < 0.001 vs. control by Student’s t-test. (C,D) Cells transfected with SURF4 siRNA (C) or SURF4 plasmid (D) were exposed to 0 extracellular calcium, and intracellular Ca2+ changes in response to ER depletion by thapsigargin were measured using FURA2. Data are the mean ± SEM of 4–6 independent experiments. (E,F) Cells were transfected with SURF4 siRNA (E) or SURF4 plasmid (F) during 48 h, and SOCE activity (induced by ER Ca2+ release with thapsigargin) was evaluated with FURA2 following re-addition of Ca2+ to the bathing solution. Data are the mean ± SEM of 5–7 independent experiments. *** p < 0.001 vs. control by Student’s t-test. | PMC9865122 | ijms-24-01278-g007.jpg |
0.451872 | 0ea4148977f24293bfd33931554954f9 | SURF4 affects SOCE proteins. (A) Neuroblastoma cells were treated with 10 µM oAβ1–42 in the presence of the SOCE inhibitor Ro for 24 h. Data are the mean ± SEM of 3 independent experiments. ** p < 0.01, non-significant (ns) vs. the respective controls by ANOVA plus Bonferroni as post-hoc test. (B) SOCE is dependent in the interaction of STIM, located in ER, with ORAI, located in the plasmatic membrane that opens to allow the entrance of calcium. | PMC9865122 | ijms-24-01278-g008.jpg |
0.448033 | 9eeb0bfda6374831b26fb20b42033688 | Schematic illustration of the application of BC-based composite/blend scaffolds in various regenerative tissue engineering (Created with BioRender.com; accessed on 28 November 2022). | PMC9865793 | ijms-24-00986-g001.jpg |
0.405111 | f907ba89832e4037a3af711fe2eff5dc | (a) The proposed mechanism of BC biosynthesis in K. xylinus using glucose and fructose as carbon sources and assembly of cellulose into nanofibrils. Glc; glucose, Glc-6-P; glucose 6 phosphate, Glc-1-P; glucose 1 phosphate, UDP-Glc; uridine diphosphoglucose (UDP-Glc), GC-6-P; gluconate 6 phosphate, Fru-6-P; fructose 6 phosphate, Fru; fructose, GK-ATP; ATP dependant glucokinase, PGM; Phosphoglucomutase, UGP; UDP–glucose pyrophosphorylase, G6PD; Glucose-6-phosphate dehydrogenase, PGI; phosphoglucoisomerase, FK; fructokinase and BCSC; bacterial cellulose synthase complex and (b) membrane-based cellulose synthase complex (Created with BioRender.com; access date 4 November 2022). | PMC9865793 | ijms-24-00986-g002.jpg |
0.438689 | 2d920962e6a8439abe64040740e567ef | (a) BC produced under the static conditions in Professor Roy’s laboratory, University of Sheffield, using the bacterial strain K. xylinus, (b) Purified BC. | PMC9865793 | ijms-24-00986-g003.jpg |
0.397487 | 5221c45951794cab8e3e92bafe54ce19 | FTIR spectra and SEM micrographs; (i) FTIR of BC blended with natural rubber (NR) with varying NR composition, and FESEM micrograph for comparison (a) neat dried BC and (b) dried BC/NR blend, adapted from Potivara & Phisalapong [81]; and (ii) FTIR of BC/gelatin blend with neat BC and BC/gelatin blend (red arrows indicating signals from amide groups), with FESEM images comparison of (c) neat BC and (d) BC/gelatin blend, adapted from [82]. | PMC9865793 | ijms-24-00986-g004.jpg |
0.449105 | c98fde58386f4ef5b2f5c6b94339a4ab | SEM images of the morphology of HAp-BC composites, produced for bone tissue engineering. (a) control (pure BC) at ×10,000 magnification, (b) HAp-BC composites at ×10,000 magnification, and (c) HAp-BC composites at ×5000 magnification (adapted from Bayir et al. [121]). | PMC9865793 | ijms-24-00986-g005.jpg |
0.440758 | 222e15d8cb0c41bfaf10feb903ddb75d | SEM images showing different morphologies of freeze-dried pure BC and BC/Chitosan (BC/Ch) composites obtained by varying the chitosan content. Pure BC (a,b); BC/Ch-1% (c,d); BC/Ch-1.5% (e,f); BC/Ch-2% (g,h). All images were taken at 5000× magnification with the top row showing the cross section and the bottom row is the inner wall of the composites (Adapted from Li et al. [141]). | PMC9865793 | ijms-24-00986-g006.jpg |
0.425378 | dac7effb5c5a4ab395ff1577baf49fa1 | (a) Schematic representation of the process of incorporating growth factors into BC-based NGC and its implantation into a rat. (b) The digital photographs of the peripheral nerve regeneration, the BC conduits and transplantation at week 0, rat’s sciatic nerve regeneration at weeks 4 and 9 weeks post-surgery. Adapted from Wei et al. [156]. | PMC9865793 | ijms-24-00986-g007.jpg |
0.445652 | 7eee444c7d9f4ed28c5cf944d522c1f0 | Placement of a cellulose patch on the left ventricle of a Wistar rat. This study aimed to use BC membrane patches containing cocultured cells to limit myocardial postinfarction pathology. Adapted from [159,165]. | PMC9865793 | ijms-24-00986-g008.jpg |
0.433805 | d6602c75abde44ad85662bfbdcdced98 | Implantation of BC/PCL and BC scaffolds in a rabbit’s cornea by a surgical technique (12× magnification). (a) Edge of the corneal trepanation (arrow). (b,c) Lamellar dissection. (d) Edge of complete superficial lamellar keratectomy (arrow). (e) Intrastromal insertion of spatula to produce a pocket. (f) Insertion of the membrane into the interlayer pocket; edge of corneal trepanation (black arrow); edge of the membrane inside the interlayer pocket (white arrow) (adapted from Sepulveda et al. [173]). | PMC9865793 | ijms-24-00986-g009.jpg |
0.432039 | 5687edcc793f4cec9c69de9bfbb8d1ae | Longitudinal incisions on the anterior wall of the common bile duct and implanted cellulosic exopolysaccharide biopolymer (ECB); a BC film. The appearance of implanted BC films reoperated after 330 days (a) and 150 days (b). Reprinted with permission from reference [178], copyright © 2020, SAGE publication. | PMC9865793 | ijms-24-00986-g010.jpg |
0.405171 | 97c9d214ffe043019b08e61134777877 | Rat model of skin defects healing over time without (left side) or with bacterial cellulose scaffold covering (right side) (Adapted from Cheng et al. [188]). | PMC9865793 | ijms-24-00986-g011.jpg |
0.495812 | 32234d6115f6404e9fe9654a811608c2 | Assay procedures and readouts. (A) Scheme of sample preparation for controls (yellow) and test samples (green) processed in parallel. (B) Representative chromatograms of two standards (CDCA and DCA) in blue and a blank buffer in red (top). Representative control sample in red showing natural levels of indicated BAs and control sample with spiked BAs in blue. | PMC9865816 | microorganisms-11-00135-g001.jpg |
0.394282 | 085d2db6b74c4007ba9cee83366ba5eb | Assay quantification and sensitivity in fecal matrix. (A) Limit of detection (LoD) and limit of quantification (LoQ) to upper limit of quantification (ULoQ) of the indicated BA highlighting the sensitivity of our method. (B) Inter- and Intra-day runs show high precision (%CV) and high accuracy of quality control samples. 3 independent experiments were run with each BA using a 4-point concentration gradient. (C) Detection of fecal BA after 0, 1, and 2 cycles of freeze–thaws. | PMC9865816 | microorganisms-11-00135-g002.jpg |
0.436379 | d1336787644a4502badfc581506f91a6 | Large-scale BA changes detected in rCDI patients treated with RBX2660. Heatmap of fecal BA levels (ng/g) in wet fecal matter from PUNCH CD2 trial participants. Each row is a single patient sample, with rows grouped by timepoints (at baseline or time post baseline) of when the stool samples were collected. Annotations in boxes above the heatmap include primary (light gray) and secondary (dark gray) BA, conjugate (green) and deconjugated (white) BA, as well as 7-hydroxylation (7-OH, blue), 7-oxo (7=O, red), and 7-dehydroxylated (7-H, tan) BA. | PMC9865816 | microorganisms-11-00135-g003.jpg |
0.443399 | 1d61ee47cb9242eb88dd02a5469135c8 | Quantitative and specific BA changes. (A) Absolute fecal levels of the primary BAs TCA, GCA, CA known to promote C. difficile germination. (B) Absolute fecal levels of the secondary BAs LCA and DCA associated with suppression of C. difficile outgrowth. Samples from study participants were taken at baseline, week 1, week 4, and week 8 post RBX2660 treatment. Red line represents the geometric mean. Statistical significant was determined by a linear mixed model and the changes from baseline were significantly different for all BAs (p < 0.05). | PMC9865816 | microorganisms-11-00135-g004.jpg |
0.437883 | 5ea18faf14a848438b0b3dc20af36ebb | BA compositions over time. All detected bile acids were categorized and grouped as either primary or secondary and conjugated or deconjugated to highlight the average changes to fecal BA composition over the course of the study in rCDI patients receiving RBX2660. | PMC9865816 | microorganisms-11-00135-g005.jpg |
0.405702 | d5f4c9f960824645be93ebb3ee497d9c | Basal cell carcinoma. RCM mosaic (1500 × 1500 µm2) showing elongated cord-like structures and tumor islands (*) of different sizes delineated by dark clefts (white arrowhead). Large canalicular blood vessels (red arrowhead). Sparse plump-bright cells representing melanophages (white circle) and numerous bright cells with thin dendritic structures corresponding to melanocytes (white arrows) within the tumor islands. | PMC9866322 | ijms-24-01079-g001.jpg |
0.432581 | d0f1b6c0df044baabd02e3708a69cc61 | Squamous cell carcinoma. RCM mosaic (1500 × 1500 µm2) showing atypical honeycomb pattern with broadened and irregular intercellular connections, pleomorphic keratinocytes, varying in size and shape and areas of total architectural disarray; scarce large, round, nucleated cells representing dyskeratotic cells (white arrows) and scattered small, bright inflammatory cells (white arrowheads). | PMC9866322 | ijms-24-01079-g002.jpg |
0.446633 | 10f7d4c136bd42b8ad8d66167610f4f9 | Cutaneous melanoma. RCM mosaic (1500 × 1500 µm2) showing severe dermo-epidermal junction disarray and pleomorphic bright cells: large dendritic atypical cells (white arrows) with the tendency to form aggregates and roundish cells of different sizes in some areas forming scattered irregular clusters (white arrowheads), in others distributed in a diffuse pattern (white circle). | PMC9866322 | ijms-24-01079-g003.jpg |
0.425003 | ff93f89270b4465b94204f498382b95f | The proposal for a more informed and improved fall risk assessment. (a) IMU mobility-based gait data are useful but lack contextual information. (b) As technology in wearable glasses becomes more advanced, they could be a viable option to provide more routine video capture to augment (and better inform) IMU data captured for mobility-based gait analysis. (c) Video data could provide absolute clarity on environment and why e.g., high (step time) variability may occur such as on uneven pavement in a poorly lit setting. | PMC9866998 | sensors-23-00891-g001.jpg |
0.437656 | 3bbb0eeb74ab4f91a503423e1e6afeb7 | Example wavelet outputs from the bouts of walking captured during level ground asphalt walking phase with minima and maxima (peaks i.e., ICs and FCs) identified from CWT-based signals. | PMC9866998 | sensors-23-00891-g002.jpg |
0.470495 | 188d3d2ba8db41a4b6831157696c59eb | Spatio-temporal mobility-based gait characteristics from 30 s (≈57 steps) bouts of walking across the numerous terrain types. Here, we observed the greatest anomalies in the characteristics on terrains #4 (stair ascent, yellow) and #5 (stair descent, light blue). Typically, the remaining terrains present characteristics in what may appear to be normal fluctuations. Of note, the step length and step velocity in the lab bout (green) show some altered fluctuations and may be attributed to the protocol i.e., a walk in a looped (non-linear) circuit. | PMC9866998 | sensors-23-00891-g003.jpg |
0.444161 | 2d009c571a534faab11a62b6edd66790 | Walking bout IMU processed and video data. (i) 30 s (from continuous 2 min loop) within a lab, (a) denoting the turns at the end of the track, (ii) level walking on asphalt with no clear abnormality in the IMU data but walking was in a linear path (i.e., straight line), (iii) walk from asphalt to paving and a step identified by the participant (red dot), with a possible anomaly in IMU-based data from visual observation denoted by (b and green squares), which roughly equates to the time of a single step from asphalt to paving, (iv) walking on paving and (c) at the latter stages of the 30 s walk as the participant stops before entering a revolving door, (v) stair ascent, noticeable changes in the CWT-based data as the participant walks up steps (d) and turns left (e) on the landing, and (vi) noticeable changes in the CWT-based data from level walking (f), stair descent (g), short steps to turn to next flight (h), stair descent (i) and level walking (j). The green rectangle in (v,vi) highlighting the similar fluctuations, as observed in (iii), due to stepping. | PMC9866998 | sensors-23-00891-g004.jpg |
0.384381 | 0582236d3acc4691a7acea842d798e5a | Left to right, although common algorithms for spatio-temporal processing for data collect on L5 are not specifically designed for e.g., stair ambulation, they may still be useful tools to help inform fall risk when used with video data for a more rounded mobility assessment. | PMC9866998 | sensors-23-00891-g005.jpg |
0.463413 | 53dda44007ad49669adb36d5e4c7a786 | Electrical responses of sensors incorporating (a) MWCNTs, (b) rGO, (c) PANI, (d) rGO + PANI, (e) MWCNTs + PANI to ammonia vapors at a constant temperature of (24.0 ± 0.6) °C and humidity (6.3 ± 1.4)%. | PMC9867172 | polymers-15-00420-g001a.jpg |
0.383806 | 4be9d540a54d4369b985b707de732ebb | Electrical response of sensors incorporating (a) PANI + PS and (b) MWCNTs + PANI + PS in fatigue tests for exposure to ammonia vapors. | PMC9867172 | polymers-15-00420-g002.jpg |
0.431847 | 181d63cd7a654d2e9b05dd44233f369c | Electrical response of a PANI sensor at 26 °C and 70% humidity (a) without ammonia vapors and (b) with ammonia vapors. | PMC9867172 | polymers-15-00420-g003.jpg |
0.441836 | b61d85df9dc24d04ba2eedb49abd63e8 | Electrical response of a MWCNTs + PANI sensor at 26 °C and 70% humidity (a) without ammonia vapors and (b) with ammonia vapors. | PMC9867172 | polymers-15-00420-g004.jpg |
0.442303 | 7a302129bb904882afdc55234885d771 | Electrical response of a PANI sensor at 30 °C and 80% humidity (a) without ammonia vapors and (b) with ammonia vapors. | PMC9867172 | polymers-15-00420-g005a.jpg |
0.455762 | 688a2dc3eae749018398d9219a812f3d | Electrical response of a MWCNT + PANI sensor at 30 °C and 80% humidity (a) without ammonia vapors and (b) with ammonia vapors. | PMC9867172 | polymers-15-00420-g006a.jpg |
0.45563 | a94a39feeb7247faa2e9d2a5e34c97fe | Electrical response of a PANI sensor at 35 °C and 90% humidity (a) without ammonia vapors and (b) with ammonia vapors. | PMC9867172 | polymers-15-00420-g007a.jpg |
0.450895 | da01e9eaa15d40c9bd0989f26174ae03 | Electrical response of a MWCNTs + PANI sensor at 35 °C and 90% humidity (a) without ammonia vapors and (b) with ammonia vapors. | PMC9867172 | polymers-15-00420-g008a.jpg |
0.367874 | f451de2f498b417d9f9d0a74358fdb2f | Time trends of population, stability, excretion rate, and uncertainty analysis studies | PMC9867605 | 11356_2023_25237_Fig1_HTML.jpg |
0.492786 | 1f4ab32ce2bb4947a95f50257fea6060 | High-frequency keywords | PMC9867605 | 11356_2023_25237_Fig2_HTML.jpg |
0.407193 | 6a6e1530463e4d608971b2b68f522959 | Time trend graph based on keyword frequency (keywords rendered by the orange and green colors are more likely to be trending up and trending down, respectively; the size of bubble reflects the total word frequency of the keyword) | PMC9867605 | 11356_2023_25237_Fig3_HTML.jpg |
0.435698 | a00c453ddd6745c5b1921589c255b92e | Comparison of antibody response in different peasant association (kebeles). | PMC9868296 | fvets-09-1089931-g0001.jpg |
0.456788 | d660481b8ac043f9929c6625ee4a3724 | Comparison of antibody response in different chicken in breeds. | PMC9868296 | fvets-09-1089931-g0002.jpg |
0.501029 | ba17ff1cc22e47109f90dec955edca36 | Inclusion and exclusion criteria. *PUMCH, Peking Union Medical Collage Hospital; NIA-AA, National Institute on Aging and Alzheimer's Association; MMSE, Mini-Mental State Examination; MoCA, Montreal Cognitive Assessment; EO(LO)AD, early-onset (late-onset) Alzheimer's disease; EO(LO)NAD, early-onset (later-onset) non-Alzheimer dementia; EO(LO)C, early-onset (late-onset) control; ALS, amyotrophic lateral sclerosis; CAA, cerebral amyloid angiopathy. | PMC9868908 | fneur-13-1030019-g0001.jpg |
0.437094 | c7272585b5974d1bb944e90bf4a51f99 | Comparison of CSF biomarker levels across groups. (A–E) Display Aβ42, t-tau, p-tau, t-tau/Aβ42, p-tau/Aβ42 distributions of the three groups respectively. Box plots present median and interquartile range and whiskers indicate 10–90% interval. In graph (D, E) asterisk markers (*) on X axis indicate that there is an outlier value beyond the upper limit. ADD, AD dementia; NADD, non-AD dementia. **P < 0.01; ***P < 0.001; ****P < 0.0001, between the two groups linked. | PMC9868908 | fneur-13-1030019-g0002.jpg |
0.443492 | 7a6640c0ecfe465390e383d900c74e55 | ROC curves of CSF biomarkers in the early-onset group. (A, C) depict curves of the original biomarkers. (B, D) Display the curves of the calculated ratios and the generated predicting factor, respectively. Diagnostic accuracy, the area under the curve (AUC), is labeled in the legend. | PMC9868908 | fneur-13-1030019-g0003.jpg |
0.434759 | f32a2ee792f84497813d990983087fe7 | Document screening flow chart. | PMC9868924 | fnins-16-1088448-g001.jpg |
0.405182 | 3b1dbe665d7d44d4a69b1c38cf27a255 | (A) Types of publications in the field of cerebral revascularization. (B) Trends in the volume of publications in the field of cerebral revascularization. | PMC9868924 | fnins-16-1088448-g002.jpg |
0.448703 | 9f6b219465774425bead4744b4b5847d | Analysis of countries and institutions. (A) Visual map of national collaboration based on CiteSpace software. (B) Visual map of institutions based on CiteSpace software. Each node represents a country/institution, and each connecting line represents the central cooperativeness between countries/institutions. The thicker the line, the closer the cooperation between countries/institutions. | PMC9868924 | fnins-16-1088448-g003.jpg |
0.455011 | 6a3c99d0b0d74bf183182a20b7a93cf0 | Analysis of authors published the most articles based on the CiteSpace visual map. Each node represents an author’s name, and each line represents the central collaboration between authors. The thicker the line, the closer the collaboration between the authors. | PMC9868924 | fnins-16-1088448-g004.jpg |
0.479986 | 2a0e4c5b3deb4636a7a8ac451e793330 | Author analysis. (A) Author collaborative network analysis based on VOSviewer visual map. (B) Co-citation author network analysis based on VOSviewer visual map. The clusters of different colors reflect the cooperation among authors. | PMC9868924 | fnins-16-1088448-g005.jpg |
0.445671 | a6454137889c496e868acba4c46de846 | Analysis of co-cited journals. (A) Network diagram of co-cited journals based on VOSviewer visual map. (B) Visualization of the density of co-cited journals based on VOSviewer visual map. Different color clustering reflects the cooperation between co-cited journals. | PMC9868924 | fnins-16-1088448-g006.jpg |
0.410303 | 1266a399aa634155b7977b8615853c7d | Keyword analysis. (A) Keyword network map based on Citespace visualization. Each node represents a keyword and each line represents the central cooperation relationship between keywords. (B) Keyword analysis based on the VOSviewer visual map. The clusters of different colors reflect the interrelationship between keywords. | PMC9868924 | fnins-16-1088448-g007.jpg |
0.479014 | 60de3ab88ac74f32b7e0e19476b09f2a | Visualization of keyword views. (A) Time zone view. (B) Timeline view. | PMC9868924 | fnins-16-1088448-g008.jpg |
0.427125 | 5ddae1260f3c40e4be2e9fa20d29e161 | Analysis of cited articles and co-cited references. (A) Network diagram of cited articles based on VOSviewer visual map. (B) Network diagram of co-cited references based on VOSviewer visual map. Different color clustering reflects the close relationship between cited articles and co-cited references. | PMC9868924 | fnins-16-1088448-g009.jpg |
0.427987 | e881609f99174211ad0ddaa0715759df | Novice actors’ changes with the progression of Repetition training in the number of each kind of utterance per session (*p < 0.05). | PMC9869025 | fpsyg-13-949209-g001.jpg |
0.354692 | d2eebf08c4c7401498e61ad3a4ce3fbf | Difference between professional and novice actors in each kind of utterance per session (*p < 0.05), respectively for executors (A) and observers (B). | PMC9869025 | fpsyg-13-949209-g002.jpg |
0.417562 | 204f79eb6e39418f96f7117de8568c26 | Antibody response after the first dose of Ad26.COV2.S and after eligibility for additional doses. In the box plot (A), the range (error bars), interquartile range (rectangle), median (horizontal line), and mean (x) antibody indices are depicted. Categorical results are presented in graph B. When more than one measurement was available during a given time period, the latest value was used. Measurements < 0.5 and > 750 index were included in the calculation as 0.5 and 750, respectively. For the “early” group, the assessment was completed a median of 96 days after primary vaccination. For the “late” antibody assessments, the last follow-up assessment was completed a median of 327 days after the primary vaccination for the Ad26.COV2.S group, a median of 89 days after the booster in the Ad26.COV2.S + Ad26.COV2.S and Ad26.COV2.S + mRNA groups, and a median of 21 days after the second booster in the Ad26.COV2.S + mRNA + mRNA group | PMC9869304 | 40620_2022_1559_Fig1_HTML.jpg |
0.377951 | 5c6328696b914a3cb0df8bef2bc831d8 | natural carbon quantum dots (NCQDs) synthesis from orange pericarp | PMC9869888 | IJBMS-26-190-g001.jpg |
0.595945 | e77657cc386345cab6f95c33a9588107 | FTIR spectra of the raw and natural carbon quantum dots (NCQDs) samples | PMC9869888 | IJBMS-26-190-g002.jpg |
0.562519 | 31bd25651e2b4c8fa4523c0c45c7e030 | XRD pattern of the synthesized natural carbon quantum dots (NCQDs) | PMC9869888 | IJBMS-26-190-g003.jpg |
0.50675 | 55a6d1865b6b48cabe775fd91c669950 | TGA and DTG curves of the raw and NCQDs samples under an air atmosphere at 10 °C/min heating rate | PMC9869888 | IJBMS-26-190-g004.jpg |
0.473657 | 1a4c444c28474a6ebf042fdd57800c20 | (a) Dynamic light scattering (DLS) and (b) Zeta potential value of NCQDs | PMC9869888 | IJBMS-26-190-g005.jpg |
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