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0.42042 | 8a95c3931597403698127ba3a8272d82 | Comparison of the concentration of CSF total α-syn between patients with AD and DLB (MCI or Dementia) and NC. **: p < 0.01, ***: p < 0.001. | PMC9654229 | ijms-23-13488-g002.jpg |
0.440813 | 781f4def26b840c0b9854563004f5b2a | Receiver Operating Characteristic curve: CSF α-syn for discrimination between AD and DLB. AUC: Area Under the Curve, Se: Sensitivity, Spe: Specificity. | PMC9654229 | ijms-23-13488-g003.jpg |
0.414115 | c9b0b51112cb4a48ad806da9160b4e44 | A predictive Bayesian Network model for the full ewe dataset representing interrelationships between ewe pregnancy outcome (‘0’ defined as a non-detectable fetus and ‘1’ as at least one detectable fetus) and fetal number (‘litter size’) calculated for four breeds, seven mating BCS and mating weight levels, three mating seasons, five broad regions, five subjective producer described seasonal conditions during mating and ram percentage utilized at mating. Letter prefixes of levels within nodes are defined as: LT = less than, E = a range of values around the displayed value and GT = greater than. Region abbreviations are defined as: NSW = New South Wales, VIC = Victoria, QLD = Queensland and SA = South Australia. | PMC9654266 | animals-12-02908-g001.jpg |
0.440211 | 0b17cb1c62df455ebd2ae2996d7049ce | Time and dose-dependent effect of abelacimab on bound FXI (left panel) and aPTT (right panel) following monthly s.c. administration. Ratios were calculated by dividing by the subject’s baseline values. Modified from Yi A.B. et al. [22]. F: factor; aPTT: activated partial thromboplastin time. | PMC9654315 | jcm-11-06314-g001.jpg |
0.546658 | bac1bd59e261408e836c57c374fb5ece | Time and dose-dependent effect of osocimab on FXI activity (left panel) and aPTT (right panel) following a single i.v. administration. Modified from Thomas D et al. [24]. F: factor; aPTT: activated partial thromboplastin time. | PMC9654315 | jcm-11-06314-g002.jpg |
0.446434 | 9bc8eea6dd964990866fd7a7158ba4e3 | Time and dose-dependent effect of BAY 1831865 on FXI activity (left panel) and kaolin-induced aPTT (right panel) following a single i.v. and s.c. administration. Modified from Nowotny B. et al. [26]. F: factor; aPTT: activated partial thromboplastin time. | PMC9654315 | jcm-11-06314-g003.jpg |
0.444437 | 882cbdcc814442fab6ef644687d03707 | Dose-dependent effect of AB 023 on aPTT following a single i.v. administration. Modified from Lorentz, C.U. et al. [27]. aPTT: activated partial thromboplastin time. | PMC9654315 | jcm-11-06314-g004.jpg |
0.404639 | a465f5b5f5114f66a7f40f396fb46e6f | Dose and time-dependent effect of asundexian on aPTT (left panel) and FXIa activity (right panel) following a single oral tablet administration. Modified from Thomas, D. et al. [29]. F: factor; aPTT: activated partial thromboplastin time. | PMC9654315 | jcm-11-06314-g005.jpg |
0.494373 | eeff62e9c7494f0193fb690a2f58ed11 | Dose and time-dependent effect of milvexian on aPTT following a single oral tablet administration. Modified from Perera, V et al. [33]. aPTT: activated partial thromboplastin time. | PMC9654315 | jcm-11-06314-g006.jpg |
0.48936 | f7196cae1bf343bca2cb73fbc5b6803f | Dose and time-dependent effect of fesomersen on aPTT (left panel) and FXIa activity (right panel). Modified from Younis, H.S. et al. [46]. F: factor; aPTT: activated partial thromboplastin time. | PMC9654315 | jcm-11-06314-g007.jpg |
0.47931 | 890eca5c7de249b79b4922b145abdec0 | Effect of fesomersen 200 mg and 300 mg on FXI activity compared with placebo during the 78-day treatment period and subsequent 85-day washout period. Red arrowheads indicate dosing day. Modified from Walsh, M. et al. [38]. F: factor. | PMC9654315 | jcm-11-06314-g008.jpg |
0.473869 | 39feba5dc83340f486ef1886571cb7c6 | Structure of layered silicates. | PMC9654802 | polymers-14-04658-g001.jpg |
0.44058 | 1d78f14f0c324a5aa4773bf316b237e7 | Magnesium spinel structure. | PMC9654802 | polymers-14-04658-g002.jpg |
0.441968 | a73768cac51044e1a653f92d16abfaf0 | Technological scheme for the development and testing of polymer composites. | PMC9654802 | polymers-14-04658-g003.jpg |
0.394689 | c0612036d8214e8d8567407467b23f4f | The wear resistance of composites containing phlogopite, depending on the concentration of MS. | PMC9654802 | polymers-14-04658-g004.jpg |
0.41226 | f8bf9ed55d3b4fe7acc0408e692f93b6 | The structure of the friction layer of the PTFE–kaolinite composite: (a) cut of the friction surface in the lateral projection (1000× magnification); (b) top view, the arrow shows the sliding direction of the counterbody (1000× magnification). | PMC9654802 | polymers-14-04658-g005.jpg |
0.458741 | 44a1954dad58460fa9ad0a6993706db1 | SEM image of the friction surface of a composite filled with serpentine (500× magnification). | PMC9654802 | polymers-14-04658-g006.jpg |
0.480597 | 55e532797d0e41d0adb9d8f8415517d0 | SEM images of the friction surface of composites containing unactivated bentonite: (a) 1.0 wt.%; (b) 2.0 wt.% (1000× magnification). | PMC9654802 | polymers-14-04658-g007.jpg |
0.438895 | 49160638daa9402d8ad840ffe88a1aef | Scheme of the formation and removal from the surface of plastic secondary structures of the first kind: (a) top view; (b) section. | PMC9654802 | polymers-14-04658-g008.jpg |
0.448756 | 962b2efe8413443eab366b3a5e01fe06 | SEM images of the friction surface of composites containing mechanically activated bentonite: (a) 1.0 wt.%; (b) 2.0 wt.% (1000× magnification). | PMC9654802 | polymers-14-04658-g009.jpg |
0.43082 | 30ba7131589843bc9586178ec7f35987 | SEM images of the friction surface of composites containing nonactivated vermiculite: (a) 1.0 wt.%; (b) 2.0 wt.% (1000× magnification). | PMC9654802 | polymers-14-04658-g010.jpg |
0.510778 | 92c81f967b0f42da99b80bee1462d4f0 | SEM images of the supramolecular structure of composites containing mechanically activated vermiculite: (a) 1.0 wt.%; (b) 2.0 wt.% (1000× magnification). | PMC9654802 | polymers-14-04658-g011.jpg |
0.439497 | 9a9769c5b82240f397cc3a7a274ab4e6 | Scheme of the formation and destruction of secondary brittle structures: (a) top view; (b) section. | PMC9654802 | polymers-14-04658-g012.jpg |
0.479176 | d03b50b73554426bb6dd68c37ad26219 | SEM images of the friction surface of a composite containing 2.0 wt.% serpentine: (a) after 1 h of friction in a quasi-stationary mode (2500× magnification); (b) after 5 h of friction (3000× magnification). | PMC9654802 | polymers-14-04658-g013.jpg |
0.46773 | 8c06a93e556448aaadc880c1c802f3f7 | SEM images of the secondary structure layer on the friction surface (10,000× magnification). | PMC9654802 | polymers-14-04658-g014.jpg |
0.405933 | 867a58b818d3445ba2394bd045ad47d0 | SEM images of the composite’s friction surface containing: (a) 2.0 wt.% kaolinite; (b) 1.8 wt.% kaolinite and 0.2 wt.% MS; (c) 2.0 wt.% serpentine; (d) 1.8 wt.% serpentine and 0.2 wt.% MS (500× magnification). | PMC9654802 | polymers-14-04658-g015.jpg |
0.449021 | 20ec84f55099410b935a82fc815c2272 | SEM images of the transverse cleavage of composites with kaolinite: (a) PTFE + 0.9 wt.% kaolinite + 0.1 wt.% MS; (b) PTFE + 4.0 wt.% kaolinite + 1.0 wt.% MS (3000× magnification); (c) SEM image of mechanically activated kaolinite (5000× magnification). | PMC9654802 | polymers-14-04658-g016.jpg |
0.446763 | fb34c6b8369946f1b1f89572b77161cd | XRD spectra (JCPDS standard) of the green synthesized FexOy-NPs using aqueous extract of Phoenix Dactylifera L. | PMC9654949 | polymers-14-04487-g001.jpg |
0.442791 | 13ac5ff79cb24702a4fdda9d2ed40968 | Transmission electron microscopy (TEM) of the green synthesized FexOy-NPs using aqueous extract of Phoenix Dactylifera L. | PMC9654949 | polymers-14-04487-g002.jpg |
0.428187 | 999b2023dd2847bcb5d8f07b989f66ad | The water contact angles photographs of the different films (gelatin-based, cellulose acetate-based, and chitosan-based composite films) with FexOy (1.0% w/w). Neat films (gelatin-based, cellulose acetate-based, and chitosan-based films) without FexOy nanoparticles incorporated were included as references. | PMC9654949 | polymers-14-04487-g003.jpg |
0.445664 | f0fe815e544543f38916daac337cd33d | Photographs of the different films (gelatin-based, cellulose acetate-based, and chitosan-based composite films) with FexOy (1.0% w/w). Neat films (gelatin-based, cellulose acetate-based, and chitosan-based films) without FexOy nanoparticles incorporated were included as references. | PMC9654949 | polymers-14-04487-g004.jpg |
0.428912 | 69041e74ad0c41aa82f6eaff06b04eb4 | Tensile test profile of the different films (gelatin-based, cellulose acetate-based, and chitosan-based composite films) with FexOy (1.0% w/w). Neat films (gelatin-based, cellulose acetate-based, and chitosan-based films) without NPs incorporated were included as the reference system. | PMC9654949 | polymers-14-04487-g005.jpg |
0.404174 | 732469822540468cb1e7577ca2a2d5f4 | Scanning electron microscopy (SEM) images for the upper surfaces of the different films (gelatin-based, cellulose acetate-based, and chitosan-based composite films) with FexOy (1.0% w/w). Neat films (gelatin-based, cellulose acetate-based, and chitosan-based films) without NPs incorporated were included as the reference system. | PMC9654949 | polymers-14-04487-g006.jpg |
0.500432 | dcb5e190058846e892a292a6d4e44484 | The flow chart for subject samples of this study. | PMC9655249 | nutrients-14-04589-g001.jpg |
0.405215 | 5561ac97f6fd4c9f9d9fb4b8ffa281a2 | Differentially expressed CCGs in ESCC and normal samples. (A) The volcano map of CCGs. (B) The heat map of CCG expression levels. (C) The volcano map of differential genes in N1 and N0 samples. (D) The heat map of DEGs between N1 and N0 samples. (E) Venn diagram of LNMGs, CCGs, and the DEGS between ESCC and normal samples. | PMC9655457 | cells-11-03432-g001.jpg |
0.424514 | 60446004e2e3490ca592330b20971061 | Risk model constructed with Cox regression analysis. (A) Forest plot for univariate analysis. (B) Forest plot for mutivariate Cox regression analysis. Green: Hazard ratio (HR) < 1; red: HR > 1. | PMC9655457 | cells-11-03432-g002.jpg |
0.508909 | 8c6ee0d6bbd54ac38aee16e4fba89b8a | Risk model validation and evaluation. (A) Risk curve for high-risk subgroups in the training set. (B) Survival curve for high- and low-risk subgroups in the training set. (C) ROC curve of the training set. (D) Risk curve for high-risk subgroups in the validation set. (E) Survival curve for high- and low-risk subgroups in the validation set. (F) ROC curve of the validation set. | PMC9655457 | cells-11-03432-g003.jpg |
0.434469 | c18f562c6c0c4045b1182389cb299e92 | Correlation analysis of risk score and clinical traits. (A) Stratified survival analysis of risk scores and clinical traits. (B) ROC analysis of risk scores and clinical traits in patient survival. | PMC9655457 | cells-11-03432-g004.jpg |
0.361674 | 84a5d673fece45ce9b87bd3de17b80db | ssGSEA analysis in high- and low-risk groups. (A) The violin plot of immune scores of immune cell types in high- and low-risk groups. (B) Heat map of immune scores of immune cell types in high- and low-risk groups. * represents p < 0.05, ** represents p< 0.01, ns represents no significant difference. | PMC9655457 | cells-11-03432-g005.jpg |
0.387348 | ed5fbdb9cbb5486985564be62af147d2 | Analysis of immune check loci in high- and low-risk groups. * represents p < 0.05, *** represents p < 0.001, ns represents no significant difference. | PMC9655457 | cells-11-03432-g006.jpg |
0.443488 | e8914b8fa6f547f0bf15b104cbb61110 | GSEA functional enrichment analysis in high- and low-risk groups. (A) Gene enrichment with GO terms of the selected genes. (B) KEGG enrichment analysis in high- and low-risk groups. | PMC9655457 | cells-11-03432-g007.jpg |
0.38311 | 71f5f0a780c047e8b5353fe51f779c0c | Comparison of differences in TP53 and NAGLU genes in KYSE-30, KYSE-150, and KYSE-410 cell lines. (A) The expression level of TP53 in normal cells (T-HEECs) and KYSE-30, KYSE-150, and KYSE-410 cell lines by qRT-PCR. (B) The expression level of NAGLU in normal cells (T-HEECs) and KYSE-30, KYSE-150, and KYSE-410 cell lines by qRT-PCR. * represents p < 0.05, ** represents p < 0.01, *** represents p < 0.001, and ns represents no significant difference. | PMC9655457 | cells-11-03432-g008.jpg |
0.450415 | 7c81db9e1cdf4d658dea82a1658d24f5 | SEM micrographs revealed by: (a) MC, (b) ZnO/MC and (c) Cu (1 at.%):ZnO/MC samples, together with their corresponding EDX spectra. | PMC9655606 | materials-15-07656-g001.jpg |
0.483211 | efe105efa9554b6fac1f283e5ede7ad5 | XRD patterns recorded for MC, ZnO/MC, Cu (0.1%):ZnO/MC, Cu (0.5%):ZnO/MC and Cu (1%):ZnO/MC samples. | PMC9655606 | materials-15-07656-g002.jpg |
0.454477 | 2b6a84c4faf74144af82f0b55e4f5652 | Raman spectra recorded for: (a) starting oxide NPs (ZnO and Cu doped ZnO) and (b) MC and hybrid NPs (ZnO/MC and Cu doped ZnO/MC) samples. | PMC9655606 | materials-15-07656-g003.jpg |
0.439428 | f88c2229de574a8f800ea62bc0a74b6a | ATR-FTIR spectra of MC, ZnO/MC, Cu (0.1%):ZnO/MC, Cu (0.5%):ZnO/MC and Cu (1%):ZnO/MC samples. | PMC9655606 | materials-15-07656-g004.jpg |
0.441623 | 780a03998cf94de995ecf2ba21a52e47 | SEM micrographs of the polyester/cotton mixture (50%/50%): untreated (a.1–a.3) and coated with MC (b.1–b.3), ZnO/MC (c.1–c.3), Cu (0.1%):ZnO/MC (d.1–d.3), Cu (0.5%):ZnO/MC (e.1–e.3), Cu (1%):ZnO/MC (f.1–f.3), recorded at different magnifications. | PMC9655606 | materials-15-07656-g005.jpg |
0.456429 | 4b7a157e4ada449ba74a85c93c3f4643 | UV-Vis absorption spectra of photodegraded MB (a) and MO (b) solutions after up to 120 min UV irradiation in the presence of ZnO and Cu-doped ZnO NPs. | PMC9655606 | materials-15-07656-g006.jpg |
0.459891 | fd20640345d9481f855ff1270c3a78d2 | Plot of (αhν)2 vs. hν for ZnO and Cu:ZnO NPs. | PMC9655606 | materials-15-07656-g007.jpg |
0.43103 | eccb5224cfa24dd0972f691ae1ee40a3 | Photodegradation efficiencies of the NPs catalysts for MB (a) and MO (b) dyes degradation under UV irradiation (120 min), reutilized for three consecutive cycles. | PMC9655606 | materials-15-07656-g008.jpg |
0.431179 | c1f123d8563943a085b55e814bbeed30 | The photocatalytic activity of uncoated, ZnO/MC and Cu-doped ZnO/MC coated polyester/cotton (50%/50%) for methylene blue (MB) and MO aqueous solutions degradation: the optical absorption spectra (a,b) and photocatalytic efficiency (c). | PMC9655606 | materials-15-07656-g009.jpg |
0.389786 | e69f44f90c7b4cdba9727720222aae3e | Antibacterial activity of undoped ZnO, Cu:ZnO and Cu:ZnO/MC (different Cu-doping) NPs and coatings on textile fibres, against S. aureus and E. coli bacteria. | PMC9655606 | materials-15-07656-g010.jpg |
0.448012 | 7752545b7d1548f4b3a3f2d0d5aa3307 | The proposed interactions during the syntesis of MO/CM colloidal solutions and corresponding coatings deposed on textile fibres, in the presence of GPTMS cross-linking agent. | PMC9655606 | materials-15-07656-g011.jpg |
0.458589 | e47fb2ee32124c06a73dcd08fcb01536 | (a) Bipolar plate with four PWAS connected to it. The flow field in the center consists of eight serpentine flow channels, which connect the gas inlet and outlet. (b) Scheme of the experimental setup showing the camera, pulser, and data acquisition system (DAQ) connected to a PC. | PMC9656768 | sensors-22-08296-g001.jpg |
0.546079 | a6cc69e75d9541a3a2aad5aa55df1a75 | Propagation times of A0 and S0 modes and bulk wave for a distance of 68 mm on a flat stainless steel plate (thickness 0.1 mm) calculated with the Dispersion Calculator [38]. The inset shows the calculated out-of-plane amplitude of the temporal guided wave responses for a 4 MHz sinusoidal excitation signal (ten cycles, Gaussian window). | PMC9656768 | sensors-22-08296-g002.jpg |
0.432762 | bd1b4915fa6149918bbf19c9720f3979 | Filtered signal transmitted from PWAS 1 and received at PWAS 2. Electromagnetic (EM) interference occurs at the beginning of the signal. | PMC9656768 | sensors-22-08296-g003.jpg |
0.417365 | 9e958901eeb24a909c50e0ff61b3a989 | (a) Filtered signals transmitted from PWAS 1 and received at PWAS 2. The baseline signal sbl was recorded without a water drop on the flow field and the measurement signal swd was recorded with a single water drop on the flow field. (c) Difference signal sd. (b,d) Detailed views of the highlighted signal parts. | PMC9656768 | sensors-22-08296-g004.jpg |
0.510592 | 15bd084a8d8949d6b5cd6f830354a64b | Difference signals within the ROI for all signal paths. (a,f,k,p) Echo signals that are transmitted and received by the same PWAS. (b,e,l,o) Signal paths across the flow field. The remaining difference signals are for diagonal signal paths. The difference signal shown in (b) is the same signal that is shown in Figure 4c. For the water detection and localization, signals shown in (e,i,j,m–o) are disregarded since they are almost identical to signals shown in (b–d,g,h,l), respectively. | PMC9656768 | sensors-22-08296-g005.jpg |
0.430202 | c392c5715c5948fa8de331b97840033f | Change in the signal energy of the difference signal Ed depending on the position of the drop. The arrows indicate the signal path from the transmitter to the receiver. The colors indicate the value of Ed relative to the minimum and maximum values for each signal path. | PMC9656768 | sensors-22-08296-g006.jpg |
0.364632 | e3cc9ceb584641c8b53bee947303b118 | Change in the signal energy of the difference signal Ed over time. Ed is shown for the windows of the difference signal. Each window is 3.2 μs long, the timestamps in the figure mark the beginning of each window. (a) Signal transmitted from PWAS 2 to PWAS 1, (b) signal transmitted from PWAS 4 to PWAS 3. The colors indicate the value of Ed relative to the minimum and maximum values for each signal path. | PMC9656768 | sensors-22-08296-g007.jpg |
0.455383 | 206bc32639e042cca1e85df71ac1cf44 | Results of the cross-validation for different numbers of time windows. | PMC9656768 | sensors-22-08296-g008.jpg |
0.512042 | 58a38f67c2df4c74aa0df1a398b00433 | (a) Histograms showing the frequency distribution of the differences δx and δy between the estimated and true x and y coordinates for the test cases. (b) Flow field with the true (white square) and predicted (black circle) positions of the water drop for one measurement. The error bars mark double the empirical standard deviation in all images. | PMC9656768 | sensors-22-08296-g009.jpg |
0.466895 | 08156faeff34461abeb257ad5ebb8a5f | Schematic diagram of dwarfing mechanism in citrus rootstocks. | PMC9656899 | plants-11-02876-g001.jpg |
0.540879 | c76676d5b9a044d085eb93d2f3fcf367 | Chemical structure of PCBs (m and n denote number of chlorine atoms on each ring). | PMC9657815 | ijerph-19-13923-g001.jpg |
0.445086 | 57a42d64a9c54979a6289a0d1129b03c | Sources of PCB in the air, human exposure, and possible health impacts. | PMC9657815 | ijerph-19-13923-g002.jpg |
0.452964 | fd6df2a6bfa44a9988589d8a84c48cf3 | Formation of three anterior cranial placodes during mid-stage mouse embryogenesis. (A) Highly schematic visualization of future location of adenohypophyseal, olfactory, and lens placodes relative to the neural tube and its anterior/posterior patterning at the E8.0 mouse embryo. Regarding the eye and lens formation, note that the eye field is already formed within the anterior subregion of the neural plate [30] (not shown), and undergoes its symmetric division, later forming a symmetric pair of optic vesicles (see panel D). (B) Adenohypophyseal (pituitary) gland development from E9.5 via Rathke’s pouch [31] to E13.5, forming the infundibular stalk and the pars tuberalis [32]. (C) Olfactory placode development from E9.5 to E12.5, forming the vomeronasal organ [33]. (D) Lens placode development from E8.5 to E11.5, forming the lens vesicle [34]. The prospective corneal epithelium formed after the separation of the lens vesicle from the surface ectoderm is highlighted in gray. Note that for simplification, neural crest cells including periocular mesenchymal cells are not shown, but they are generally located in the space between the neuroectoderm and surface ectoderm. For additional details, see https://syllabus.med.unc.edu/ for ultrastructural images of mouse eye development between these stages. | PMC9658148 | cells-11-03516-g001.jpg |
0.45962 | 89d96045eb94418982915d02037e5d4a | Summary of three-stage procedure to generate human lentoid bodies. (A) Lentoid bodies were differentiated over a 35-day period on Matrigel using specific concentrations of Noggin, BMP4, BMP7, FGF2, and WNT3A at the time points shown. Additional components and their concentrations of the basal medium are also shown [125]. (B) Western blot analysis shows expression of key lens markers PAX6, αA-, αB-, β-, and γ-crystallins, filensin (BFSP1), CP49 (BFSP2), and MIP (AQP0). Expression of β-actin was used as a loading control [125]. (C) Brightfield image of lentoid bodies produced at day 35 of differentiation. | PMC9658148 | cells-11-03516-g002.jpg |
0.425148 | 9798fa4de169420b8ca86701f83aba0e | A summary model of the generation of anterior placodes from hPSCs using the dSMADi-based procedures. The diagram illustrates multiple cell fate decisions of the pluripotent stem cells, including those following Noggin- and SB431542-mediated phase of inhibition and TGF-β, Activin, and Nodal signaling inhibition [139]. Formation of anterior pre-placodal cell fate commitment can be subsequently induced through BMP activation. In contrast, epidermal precursors can be generated through surface ectoderm induction mediated by FGF inhibition. The anterior pre-placodal cells can generate anterior pituitary placodal cells through activation of SHH signaling to produce gonadotrops at day 30 of the cultures [139]. Note that these cells treated subsequently by FGF8, BMP2, and both factors together generate hormone-producing cells analyzed at day 60 [140]. The olfactory placodal cell fate pathway analysis was limited to identification of a few cell markers, SIX1, DLX5, and FOXG1, and is marked (?) accordingly. Addition of BMP4 between days 7 and 11 increased the expression of lens lineage-specific transcription factors PAX6 and PITX3. Lens placodal cells were enriched through inhibition of FGF signaling by SU5402 at day 7, followed by analyses of lens placode markers PAX6, SIX3, and PITX3 and subsequent formation of αB-crystallin-expressing cells analyzed at day 57 [139]. | PMC9658148 | cells-11-03516-g003.jpg |
0.484482 | 9a31299ea2524b06b1ebfcd5ed49c7f5 | Flow diagram of the meta-analysis. | PMC9658371 | ijerph-19-13852-g001.jpg |
0.44953 | d297eae3b3e3469680fa506b4d0b52dc | Total ion current chromatograms (TICs) obtained for aqueous (red line) and ethyl acetate (blue line) fractions of the total aq. ethanolic extract of water avens. The analysis relied on the RP-UHPLC-QqTOF-MS, accomplished with a Waters ACQUITY I-Class UPLC System coupled online to a Sciex TripleTOF 6600 mass spectrometer. The assignments could be confirmed by SWATH-MS/MS data (Supplementary information, Figure S3) and targeted MS/MS (Table 1, Figure S4). | PMC9658556 | plants-11-02859-g001.jpg |
0.400395 | c73dbca9557a47c4807249b5a4c67b3c | Results of the MTT assay (n = 4) addressing cytotoxicity of the aqueous (A,B) and ethyl acetate (C,D) fractions of the total G. rivale L. aqueous ethanolic extract, and performed 24 (A,C) and 48 (B,D) hours after supplementation of the plant isolates to the cell culture. The data are represented as median, interquartile range, minimal and maximal values. | PMC9658556 | plants-11-02859-g002.jpg |
0.367467 | 50c906b3d4e64a4d9c61a49932c2e82a | Results of the MTT cell viability test accomplished with SH-SY5Y cells with aqueous and ethyl acetate fractions of the total ethanolic extract of G. rivale L. Cells were treated for 24 h (A) and 48 h (B) in the absence (control) and presence of the G. rivale L. fractions of total extract with (grey) and without (white) supplementation of 25 µmol/L Aβ25–35. The assay was performed in quadruplicates. Mann–Whitney test and Bonferroni correction for multiple comparison were applied to address statistically significant differences observed in treated cells: *—p ≤ 0.05 vs. untreated with Aβ25–35 negative control. The controls were supplemented with fresh medium without addition of the fractions of total extract. | PMC9658556 | plants-11-02859-g003.jpg |
0.494221 | 707c6d79731c4dc19c1e96da12bf2b48 | The results of the cell viability assay (n = 3) obtained in the paraquat model of neurodegeneration established with differentiated SH-SY5Y cells with aqueous and ethyl acetate fractions of the total extract of G. rivale L. Mann–Whitney test with Bonferroni correction for multiple comparisons were applied to address the confidence of the differences observed in the treated cells: *—p ≤ 0.05 vs. untreated with Aβ25–35 negative control. The negative controls were supplemented with fresh medium without addition of the fractions of total extract. | PMC9658556 | plants-11-02859-g004.jpg |
0.387921 | 16755fda89704707be5ff0530948fcf4 | National income and diversity of the gut microbiota. The higher diversity of the intestinal bacterial communities among populations from LMICs coincides with a high rate of soil-transmitted helminth infections in those countries, suggesting that parasites could be involved in these findings together with other factors. | PMC9658883 | ijms-23-13358-g001.jpg |
0.455375 | 4b0626fb28224cd296969747f2bd784e | Mechanisms underlying the effects of the microbiota on helminth infections. Commensal bacteria can favor the establishment of helminth infections or enhance worm expulsion through different mechanisms. In addition, the helminth gut is colonized by bacteria from the host microbiota, from which it forms its own. DC, dendritic cell; SCFAs, short-chain fatty acids; TCR, T cell receptor; Th2, type 2 helper T cell; Treg, T regulatory cell. | PMC9658883 | ijms-23-13358-g002.jpg |
0.433177 | b33daeab61ab4ddaac2cf63409988cf5 | Mechanisms involved in the influence of helminth infections on the microbiota. Helminths can modify the gut microbiota composition by several mechanisms and are generally associated with a more diverse gut microbiota. AMPs, antimicrobial products; B, B cell; Eos, eosinophil; ESPs, excretory-secretory products; IgE, immunoglobulin E; Mφ, macrophage; Th2, type 2 helper T cell. | PMC9658883 | ijms-23-13358-g003.jpg |
0.422686 | 1e975d2241fe4313b122e15c25aad3c2 | Impact of helminth-induced microbiota modifications on the risk of certain diseases. Helminth infections can modify the risk of some diseases; in most cases, reducing it. A microbiota-mediated regulation of the immune response is thought to be a key player. RSV, respiratory syncytial virus. | PMC9658883 | ijms-23-13358-g004.jpg |
0.47275 | efe8125711264e3ca8b5147d54ecb961 | Theory of Planned Behavior (Ajzen, 2002) | PMC9660159 | 10639_2022_11442_Fig1_HTML.jpg |
0.409916 | 33493cc43c204f2ab4581f64130aaaf9 | Results of the CFA: A three-factor model with factor loadings for Intention to Teach Online -Two samples. Note. *p < .05, **p < .01, ***p < .001. The number on the one-direction arrow between the observed variables and latent variables are the standardized factor loadings for latent variables. The number on the one-direction arrow among the latent variables are the standardized coefficients of the regression. The number on the double direction arrows among the latent variables are the covariances | PMC9660159 | 10639_2022_11442_Fig2_HTML.jpg |
0.40255 | f83d1b9f69b44086b9eb8003e132a9c1 | The impact of porosity on the TIEL intensity and electrical output of SPTS. a) Cross‐sectional SEM images of SPTSs (3.0 × 3.0 × 0.1 cm3) at different levels of porosity with the same ZnS content of 40 wt%. b) TIEL intensity and c) electric output of SPTS (3.0 × 3.0 × 0.1 cm3) under a cycled sliding pressure of 10 kPa. The corresponding d) voltage, e) current, and f) transferred charge, respectively. | PMC9661844 | ADVS-9-2203510-g001.jpg |
0.420772 | 603d1aa08140457e830e5460da91bb19 | HMI application of SPTS. a) Schematic diagram of remote control on an intelligent vehicle using the electrical signal received from TENG with the assistance of a programmable MCU. b) Complete flowchart of the signal processing. c) The corresponding photograph showing the movement of the intelligent vehicle. d) Schematic diagram of operational computer games through TIEL characteristics with the assistance of a camera and a self‐developed software. e) The corresponding TIEL trajectory images and the captured center point coordinates. f) The photograph of the computer game interface. | PMC9661844 | ADVS-9-2203510-g002.jpg |
0.516756 | ceae63e5d5d04047b0105a0e24158031 | The working mechanism of SPTS. a) Simplified diagrams showing the process of TIEL and electricity generation process of SPTS under contact‐separation mode. The 2D models of b) electric field and c) potential distribution with the cross‐section of DTS and SPTS in the four typical working states as constructed using COMSOL software. d) The extracted electric field and e) potential value of point “P” on the phosphor in the four typical working states of DTS and SPTS in the simulation. | PMC9661844 | ADVS-9-2203510-g003.jpg |
0.362248 | bc43a8bf7cf840c7bec5265cdbdbafe1 | Schematic diagram of the fabrication process and characterization of SPTS. a) Schematic diagram of device fabrication. b) Conceptual diagram of SPTS, which is capable of converting the touch stimulation into visible light and electrical signals through TIEL and TENG processes for the control of various consumer electronics. c) SEM image of ZnS:Cu,Al particles. d) Cross‐sectional SEM image of the porous luminescent layer. e) Surface SEM image of the porous luminescent layer. Left section: the enlarged view of the matrix (upper) and the cavity (bottom). Inset: different water contact angles from porous and dense luminescent layers, respectively. f) Stress–strain curve of SPTS affected by the porosity. g) TIEL intensity of SPTS and DTS (3.0 × 3.0 × 0.1 cm3) at 10 kPa under sliding mode. Inset: CIE chromaticity coordinate diagram of the emission spectrum and the corresponding luminescent photographs. h) Voltage output of SPTS and DTS at 10 kPa under sliding mode. Inset: the corresponding voltage output with one complete cycle. i) Comparison of the enhanced TIEL intensity in this work and previous studies. | PMC9661844 | ADVS-9-2203510-g004.jpg |
0.454657 | e2971dc853204cffb7829d44e7ddfc9a | The impact of the porous luminescent layer thickness on the TIEL intensity and electrical output of SPTS. a) Cross‐sectional SEM images of the porous luminescent layer of SPTSs (3.0 × 3.0 cm2) with different thicknesses (all samples have the constant porosity of 15% and the same content of ZnS particles of 40 wt%). b) TIEL intensity and c) electric output under a cycled sliding pressure of 10 kPa. The corresponding d) voltage, e) current, and f) transferred charge, respectively. | PMC9661844 | ADVS-9-2203510-g006.jpg |
0.41197 | 1a2e2225cea34421b5bdb18a1ce308de | The impact of the content of ZnS:Cu,Al particles on the TIEL intensity and electrical output of SPTS. a) Cross‐sectional SEM images of SPTSs (3.0 × 3.0 × 0.1 cm3) at different content of ZnS:Cu,Al with a constant porosity of 15%. b) TIEL intensity and c) electric output under a cycled sliding pressure of 10 kPa. The corresponding d) voltage, e) current, and f) transferred charge, respectively. | PMC9661844 | ADVS-9-2203510-g007.jpg |
0.460672 | 5e81b54a44cf4b088d60b8ce8920ed13 | The sensing performance of the SPTS. a) TIEL intensity and d) voltage output of the SPTS (3.0 × 3.0 × 0.1 cm3) at different sliding pressures ranging from 1 to 10 kPa. b) TIEL intensity and e) voltage output pressure–response curves in (a) and (d), respectively. Inset of (b): The corresponding luminescent photographs of TIEL. c) Comparison between the responsivities and detection limits of TIEL intensity in this work and previous studies. The cyclic measurement of f) TIEL intensity and g) voltage output of the SPTS at the frequency of 1 Hz and the pressure of 10 kPa. | PMC9661844 | ADVS-9-2203510-g008.jpg |
0.465682 | fd22468ef86e4deeb047de0bfc5422f1 | Map of Uganda with locations of sites where health facility–based malaria surveillance is being conducted. | PMC9662221 | ajtmh.21-1305f1.jpg |
0.412773 | 13251dc3745f41f19460586afec8fd2e | Schematic representation of the tractor-semitrailer model with the trailer steering system.(a) Top view. (b) Side view. (c) Rear view. | PMC9662746 | pone.0277358.g001.jpg |
0.48367 | 1059ef7067724d2a9c9dad94c5110b00 | Block diagram of the LQR controller. | PMC9662746 | pone.0277358.g002.jpg |
0.491262 | e6e6093aaef54bb8abf9ce9cefc9a96d | Dynamic responses of the tractor-semitrailer under the SLC maneuver.(a) Lateral acceleration. (b) Sideslip angle. (c) Yaw rate. (d) Roll angle. | PMC9662746 | pone.0277358.g003.jpg |
0.414971 | 8bd5a81579054735958a434d54503cb2 | Axle trajectories and the active steering angle under the SLC maneuver.(a) Axle trajectories. (b) Active steering angle δ2m. | PMC9662746 | pone.0277358.g004.jpg |
0.530719 | 93c882d881a2460a92ee3834ed8cd131 | Dynamic responses of the tractor-semitrailer under the DLC maneuver at 80 km/h.(a) Lateral acceleration. (b) Sideslip angle. (c) Yaw rate. (d) Roll angle. | PMC9662746 | pone.0277358.g005.jpg |
0.518182 | b88249d30b42464da9c74353246f6dad | Axle trajectories and the active steering angle under the DLC maneuver at 80 km/h.(a) Axle trajectories. (b) Active steering angle δ2m. | PMC9662746 | pone.0277358.g006.jpg |
0.484642 | d703569ccbcf47018b281453642e023d | Dynamic responses of the tractor-semitrailer under the DLC maneuver at 88 km/h.(a) Lateral acceleration. (b) Sideslip angle. (c) Yaw rate. (d) Roll angle. | PMC9662746 | pone.0277358.g007.jpg |
0.554999 | a92d423eef4640e49c1956132034cdb9 | Axle trajectories and the active steering angle under the DLC maneuver at 88 km/h.(a) Axle trajectories. (b) Active steering angle δ2m. | PMC9662746 | pone.0277358.g008.jpg |
0.356208 | 57452737ca2c442491592f8981ea6769 | [Ca2+]cyt increase at the pulvinus triggers rapid leaflet movement.a, b Touch (a) and wounding (b) (white arrows) caused [Ca2+]cyt increases at the tertiary pulvini (yellow arrowheads) and leaflet movements (red arrowheads) that propagated toward the base of the rachilla. c, d Wounding triggered [Ca2+]cyt increases at the tertiary pulvini that preceded the leaflet displacements in control (c) but not in La3+-treated leaves (d). Dashed white and solid red lines indicate leaflet positions before and after leaflet movements, respectively. e, f [Ca2+]cyt signatures at the tertiary pulvinus and leaflet angle in leaves pretreated with H2O (e, n = 5) and 50 mM La3+ (f, n = 7). Mean ± SEM values are shown. Scale bars, 5 mm (a and b) or 1 mm (c and d). | PMC9663552 | 41467_2022_34106_Fig1_HTML.jpg |
0.392746 | 38aed26abdb64437854e417c8e7ac184 | Touch and wounding trigger long-distance rapid [Ca2+]cyt and electrical signals.a Wounding by scissors (white arrow, 0 s) caused a [Ca2+]cyt increase that was transmitted through leaflet veins and rachillae (yellow arrowheads), leading to pulvinar movements (red arrowheads). b Diagram of the leaf with the regions of interest (ROIs) for [Ca2+]cyt analysis. W, wound site; V, leaflet vein; P, tertiary pulvinus; R, rachilla. c, d [Ca2+]cyt changes monitored in the W, V, P (c, n = 6), and R regions (d, n = 10). The ΔF/F0 curves were terminated at the time points at which ROIs on W or V could not be traced because of leaflet movements. Mean ± SEM values are shown. e, f Simultaneous recording of [Ca2+]cyt increases (yellow arrowhead) and electrical signals and leaflet movements (red arrowhead) caused by touch (e) or wounding (f) as indicated by white arrows (0 s). g, h Electrodes (e1 and e2, blue rectangles) and ROIs (red arrows, 1 mm from the electrodes) were set on the rachilla for surface potential measurement and [Ca2+]cyt analysis, respectively. A pair of leaflets was numbered from the base of a pinna. The tip of a leaf pinna was touched by forceps (g), or leaflet number 12 was wounded with dissecting scissors (h, W). i, j Changes in [Ca2+]cyt and surface potential in response to touch (i) or wounding (j) (colors as depicted in g or h). Scale bars, 5 mm. | PMC9663552 | 41467_2022_34106_Fig2_HTML.jpg |
0.410178 | 2e51602148114657bbd890fe7d68c679 | Immotile M. pudica is more vulnerable to attacks by grasshoppers.a–c Wounding (black arrows, 0 s) caused leaflet movements (red arrowheads) in wild-type (WT) leaves (a) but not in La3+-treated (b) and elp1b1elp1b2 (elp1b #1, c) leaves. d, e Herbivory damage (red arrowheads) in H2O- (control) and La3+-treated pinnae (d) and WT and elp1b1elp1b2 pinnae (e). f, g La3+-treated leaves (f) and elp1b1elp1b2 leaves (g) were more consumed by grasshoppers than control/WT leaves. h, i Total residence time of grasshoppers on the control and La3+-treated leaves (h) and the WT or elp1b1elp1b2 leaves (i) n = 14 independent leaf pairs for f and h, and n = 12 independent leaf pairs for g and i. The boxes show the interquartile ranges, and the whiskers show the minimum and maximum values. The horizontal lines within the boxes and the plus signs indicate the medians and means, respectively. The dots represent individual data. Statistical analyses were performed using a two-tailed Wilcoxon matched-pairs signed rank test. Scale bars, 10 mm. | PMC9663552 | 41467_2022_34106_Fig3_HTML.jpg |
0.359583 | cf666fc424014068b6737e462e58ae84 | Insect attack induces [Ca2+]cyt increases and leaflet movements.Feeding on a leaflet by a grasshopper (white arrows, 0 and 60 s) caused [Ca2+]cyt increases in pulvini (yellow arrowheads) and leaflet movements (red arrowheads). Note that grasshoppers are naturally fluorescent. Scale bar, 5 mm. | PMC9663552 | 41467_2022_34106_Fig4_HTML.jpg |
0.446605 | 4a0851c532024f3db089303d18bc97c0 | (A) Beath pin (thin green arrow) being drilled through the anterior aspect of the fibular head across to the anteromedial tibia. The white double arrow indicates the path of the drill through the proximal fibula to the anteromedial tibia; the thick blue arrow shows the retractor around the fibular head protecting the peroneal nerve, seen wrapping around the fibular neck; the black arrowhead indicates Krackow sutures placed in the avulsed soft tissue sleeve of the biceps-LCL-PFL. (B) Beath pin pulling through passing sutures through the anterior tunnel of the fibular head (purple arrow). (C) Passing sutures pulling the posterior limb of the Krackow sutures through the posterior tunnel of the fibular head (yellow arrow). LCL, lateral collateral ligament; PFL, popliteofibular ligament. | PMC9663643 | 10.1177_23259671221131817-fig1.jpg |
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