dedup-isc-ft-v107-score
float64 0.3
1
| uid
stringlengths 32
32
| text
stringlengths 1
17.9k
| paper_id
stringlengths 8
11
| original_image_filename
stringlengths 7
69
|
|---|---|---|---|---|
0.395707 | db16b60498534ebb8a043b41a60115f1 | The proliferation of NHEK cells induced by H1/FGF-7. NHEK cells were seeded onto a 24-well plate at a density of 7500 cells per 500 µL of DK-SFM. The culture was then supplemented with SC powder, F7-SC powder, F7-PH crystals, or rhFGF-7 and incubated at 37 °C and 5% CO2 for 3 days. The amounts of supplemented samples are indicated on the horizontal axis. Cell proliferation rates were determined as viable cell numbers (as measured using the WST-8 assay) relative to non-treated control culture with PBS only. Data are presented as means ± standard deviations (SDs) of triplicate assays. n.s p > 0.05 vs. non-treated control; a p < 0.001 vs. non-treated control; b p < 0.01 vs. 50 µg of F7-SC; c p < 0.001 vs. 100 µg of F7-SC; d p < 0.001 vs. 1 ng of rhFGF-7; and e p < 0.001 vs. of 5 ng of rhFGF-7. | PMC9456417 | ijms-23-09953-g004.jpg |
0.408433 | b1b73b92cd544c0ca9ddc11324bebc90 | Migration of NHEK cells induced by H1/FGF-7. NHEK cells at a density of 7500 cells per 500 µL of DK-SFM were incubated at 37 °C and 5% CO2 for 16 h to induce starvation and then wounded via scratching. The wounded cultures were treated with 100 µg of SC powder, 100 µg of F7-SC powder, 5 × 105 F7-PH, or 10 ng of rhFGF-7, or PBS was added (for non-treated control); then, they were further incubated for 24 h. (A) The percentage of wound closure in the scratched NHEK cultures was determined through ImageJ analysis of the photos taken at 0 and at 24 h of treatment. Data are shown as means ± standard deviations (SDs) of triplicate assays. n.s
p > 0.05 vs. non-treated control and a
p < 0.05 vs. non-treated control. (B) Photos of the scratched cultures for ImageJ analysis. Scale bar, 200 μm. | PMC9456417 | ijms-23-09953-g005.jpg |
0.431371 | 5d19a08225ef47618dec370a46b53439 | Storage stability of H1/FGF-7 incorporated into sericin-cocoon powder. (A) Short-term (7 days) storage stability. Two identical sets of samples including suspensions of F7-SC powder (2 mg/mL), F7-PH crystals (1 × 107 cubes/mL), and a solution of commercial rhFGF-7 (50 µg/mL) were separately stored at −20 °C or 25 °C for 1 week prior to the assays. NHEK cells at a density of 7500 cells per 500 µL of DK-SFM were supplemented with 100 µg of F7-SC powder, 5 × 105 F7-PH crystals, or 10 ng of rhFGF-7. Proliferative activity of the samples was determined as viable cell number measured in the respective cultures after 3 days of cultivation at 37 °C and 5% CO2. The proliferative activity of the samples stored at −20 °C was set to 100%, and the relative activity of the corresponding samples stored at 25 °C was determined. (B) Long-term (3 months) storage stability of H1/FGF-7. The parameters and analysis method were the same as the 1-week analysis except for sample storage duration. Data are shown as means ± standard deviations (SDs) of triplicate assays. n.s
p > 0.05 vs. −20 °C counterpart; a
p < 0.001 vs. −20 °C counterpart; and b
p < 0.01 vs. −20 °C counterpart. | PMC9456417 | ijms-23-09953-g006.jpg |
0.46566 | 993f7b9275424335b6acd8845b16d19f | Three-dimensional (3D) cultivation and differentiation of NHEK cells. NHEK cells were cultivated for 2 days on collagen gel under a submerged condition and continued to grow at the air–liquid interface in a medium containing 1.2 mM Ca2+ with regular medium change until day 14. The 3D-cultivated cell culture was cryo-sectioned for analysis. (A) Hematoxylin and eosin (HE) staining of NHEK cells 3D-cultured (left panel) on collagen gel containing 800 µg of F7-SC powder or (right panel) using basal medium supplemented with 300 ng of rhFGF-7. Scale bar, 20 µm. (B) Immunofluorescent staining for expression of differentiation markers on NHEK cells 3D-cultured on collagen gel containing F7-SC powder. Detection of (left panel) loricrin and keratin 14 and (right panel) filaggrin and keratin 10. Nuclei were stained with 4′,6-diamidino-2-phenylindole (DAPI). Upper layer above the dashed line shows the speculated stratum corneum. Scale bar, 50 μm. | PMC9456417 | ijms-23-09953-g007.jpg |
0.475702 | 0737a3ab81d14620b5951fbb14ace9e8 | The stiffness degradation of the bolted joint under mixed-mode loading: (a) the mixed-mode loading, (b) the backbone curve. | PMC9457224 | materials-15-05817-g001.jpg |
0.418004 | 2f60ec281292498c864c7a4f92675255 | (a) The classic Iwan model. (b) Density function of the critical sliding force. | PMC9457224 | materials-15-05817-g002.jpg |
0.420336 | 8f489b210f39445f8655ba47fe887cf6 | Modification of the classic Iwan model based on experiments: (a) experimental hysteresis loops, (b) the modified model. | PMC9457224 | materials-15-05817-g003.jpg |
0.505256 | d898fca74fc74c1e96390460b44ceabf | Schematic diagram of the microslip friction modeling approach. | PMC9457224 | materials-15-05817-g004.jpg |
0.469888 | 806f649495c149f8908097442b42d7d3 | (a) The external thread profile. (b) The internal thread profile (The thread pitch P is 1.25 mm, the radius ρn is 0.07 mm, the thread height H is 1.08 mm, and the radius ρ is 0.14 mm). | PMC9457224 | materials-15-05817-g005.jpg |
0.506067 | ed7f29f4ea9b429988a0c66efbd925b4 | Finite element models of the bolt and nut: (a) cross section of bolt, (b) cross section of nut, (c) cross section of bolt and nut assembly. | PMC9457224 | materials-15-05817-g006.jpg |
0.462959 | 3f0419ba39b541188a84cc4f90a1e981 | Simplified bolt model. | PMC9457224 | materials-15-05817-g007.jpg |
0.471342 | 7743b8f110c34a22a98619cc9bc91b12 | Dimensions of plates (mm). | PMC9457224 | materials-15-05817-g008.jpg |
0.464708 | 3f39c0f1ab4e453d93bfde250391e845 | Cross section of the finite element model of the plate. | PMC9457224 | materials-15-05817-g009.jpg |
0.444972 | 65159b93bbd04224bf80c9297df8ca66 | Schematic diagram of bolt preload. | PMC9457224 | materials-15-05817-g010.jpg |
0.523615 | 8fada7c3eb9f4c1698fc3c12015acd0e | Initial and boundary conditions. | PMC9457224 | materials-15-05817-g011.jpg |
0.427138 | 8379384bb4ee4c6fa7e01fd0a10bceab | Relationship between relative displacement and friction shear stress of different contact methods: (a) Lagrange multiplier method, (b) penalty method (τcrit
is the critical friction shear stress, γcrit is the relative displacement of critical sliding.). | PMC9457224 | materials-15-05817-g012.jpg |
0.471678 | 3e50e687219742509572b099490c7704 | The lapped plate under mixed-mode loading. | PMC9457224 | materials-15-05817-g013.jpg |
0.535755 | 79c3a9e8e1fa4e709290d7ca896c749b | The mesh convergence curve. | PMC9457224 | materials-15-05817-g014.jpg |
0.488545 | 194f7bbd9da5418fa511037e84b5903c | The finite element model of lapped plates. | PMC9457224 | materials-15-05817-g015.jpg |
0.487326 | abe7c7a21b3b4dbf97fcaf535d2df85f | Calculation results of the Lagrange multiplier method and the penalty method: (a) contact pressure distribution curves, (b) backbone curves. | PMC9457224 | materials-15-05817-g016.jpg |
0.44998 | a55b9a3b71b247bf87c7101a1e809de5 | Pressure distribution on the inter-plate surface: (a) scanning paths on the inter-plate surface, (b) the pressure distribution of the two models. | PMC9457224 | materials-15-05817-g017.jpg |
0.476856 | dc1b0eeff04149f7969877fdbb458604 | Dynamic degradation of the thread model and simplified model under mixed-mode loading: (a) backbone curves, (b) stiffness degradation curves, (c) calculation time. | PMC9457224 | materials-15-05817-g018.jpg |
0.501826 | 0c14d2dfefbd4021881571d01a866b50 | Force decomposition. | PMC9457224 | materials-15-05817-g019.jpg |
0.455693 | 45d7c471e29e43b0b3535443d4a9ede0 | The evolution of contact conditions under mixed-mode loading: (a) Contact condition on the bolthead-plate surface, (b) contact condition on the inter-plate surface: (b1) T = 0 N, (b2) T = 228.555 N, (b3) T = 489.332 N, (b4) T = 575.232 N, (b5) T = 632.458 N. | PMC9457224 | materials-15-05817-g020.jpg |
0.388401 | b2ecb1293bc24ea9a32c2027b4e6369d | Pressure distribution on the inter-plate surface under mixed-mode loading: (a) T = 0 N, (b) T = 228.555 N, (c) T = 489.332 N, (d) T = 575.232 N, (e) T = 632.458 N. | PMC9457224 | materials-15-05817-g021.jpg |
0.420996 | ae01afedaf4b4e5cbe7cf3e248034c3d | Ellipse modification in microslip. | PMC9457224 | materials-15-05817-g022.jpg |
0.429292 | c57400dccac74eca9f88cc5d0fa17790 | Ellipticity discrete method: (a) isolines of pressure on the inter-plate surface, (b) ellipticity discrete method. | PMC9457224 | materials-15-05817-g023.jpg |
0.485186 | 663d59e9c4c04a528e3f3b6c76eca9e0 | The displacement of the bolt in the x-direction. | PMC9457224 | materials-15-05817-g024.jpg |
0.671158 | f29c75e62e3945259260037d13ad2225 | SARS-CoV-2 Mpro inhibitors: (a): Perampanel; and (b): Perampanel derivatives after structure optimization. | PMC9457583 | molecules-27-05732-g001.jpg |
0.576585 | b507407efc0743fa9cf623a18aeed105 | SARS-CoV-2 Mpro inhibitor Bispidine derivative. | PMC9457583 | molecules-27-05732-g002.jpg |
0.650601 | f0467084a80444249995fd6beeb2bfad | SARS-CoV-2 Mpro inhibitors: (a): Valrycin B; (b): Z-FA-FMK; and (c): MG–132. | PMC9457583 | molecules-27-05732-g003.jpg |
0.662644 | c8f495373a3a4f7e8651ce851cb39f62 | SARS-CoV-2 Mpro inhibitor PF-07321332 (nirmatrelvir), which was granted authorization by FDA in December 2021. | PMC9457583 | molecules-27-05732-g004.jpg |
0.577814 | 2d71d4653d9744509f09b8ce861d0993 | Remdesivir is an inhibitor of the SARS-CoV-2 Mpro. | PMC9457583 | molecules-27-05732-g005.jpg |
0.632897 | 258aea1f92034138bfc007fed8ff7061 | Non-specific promiscuous SARS-CoV-2 Mpro inhibitors: (a): Ebselen; (b): Disulfiram; (c): Tideglusib; (d): Carmofur; (e): Shikonin; and (f): PX-12. | PMC9457583 | molecules-27-05732-g006.jpg |
0.63756 | ee143c53bd2d4dfbaacefd517c5dc0bc | SARS-CoV-2 Mpro inhibitor S-217622, which is under clinical development. | PMC9457583 | molecules-27-05732-g007.jpg |
0.415141 | de74e421cc0c41aa9fa7ae8939a96936 | Active compounds with experimentally confirmed activity against SARS-CoV-2 found at the first step of the study. | PMC9457583 | molecules-27-05732-g008.jpg |
0.395976 | f1da028b99294604a482391182fcd6b7 | Structures of the ligands presented in Table 2. They are analogs of three compounds presented in Table 1. | PMC9457583 | molecules-27-05732-g009.jpg |
0.455048 | 25419cd6e92b44188258bf3a6174b647 | Docking position of compound 3a in the active site of Mpro. The ligand is shown in a “ball-and-stick” model and colored in brown. Protein residues are presented in the “line” model and colored in marine. Residues of a catalytic dyad are colored in magenta. A yellow dashed line indicates an H-bond between the protein and the ligand. Pi-stacking is designated with a green dashed line. | PMC9457583 | molecules-27-05732-g010.jpg |
0.52309 | affa1f0defc24539944400aab1bad65c | Synthesis of the target compounds (3 a-d). Reagents and conditions: (i) dry toluene; dry pyridine, reflux, 5 h. | PMC9457583 | molecules-27-05732-sch001.jpg |
0.547612 | ac3ebb6291154181bce0e0a9f416dc63 | Synthesis of the target compounds (6 a-c). Reagents and conditions: (ii) dry DMF, CH3COOK, piperidine-1-yldithiocarboxylic acid (b) or 2-methylpiperidine-1-yldithiocarboxylic acid (c), 80 °C, 6 h; (iii) dry CH3CN, morpholine, reflux, 3 h; and (iv) dry DMF, CsF, 2-chlorobenzyl chloride, reflux, 4 h. | PMC9457583 | molecules-27-05732-sch002.jpg |
0.585909 | c0715829354e41d2a997dafa7e5187e0 | Synthesis of the target compounds (9 a-c). Reagents and conditions: (v) CH3CN, K2CO3, 80 °C, 3 h. | PMC9457583 | molecules-27-05732-sch003.jpg |
0.490442 | 23b4d1b2866141578027ecb5055ef32d | SEM images of waste and recycled carbon fiber (CF) acquired through different recycling methods. (a) CFRP scrap wastes, (b) recycled CFs from supercritical method, (c) recycled CFs from superheated steam pyrolysis, and (d) virgin CFs. | PMC9457743 | molecules-27-05663-g001.jpg |
0.417966 | 303224ceedd148dc98554fb72b4d3f29 | Charpy test results of the impact strength of RCF-reinforced low-density polyethylene (LDPE). | PMC9457743 | molecules-27-05663-g002.jpg |
0.444032 | 03fd6c0317c743fc8061d28ae3be0288 | SEM images of the fractured surfaces of polymer composites with CF types acquired from the Charpy pendulum impact test. (a) PE/SW, (b) PE/SC-RCF, (c) PE/SHS-RCF, and (d) PE/CF. | PMC9457743 | molecules-27-05663-g003.jpg |
0.435387 | 8b661613ad384deeafb7b1b7a6e0e024 | A schematic of interfacial adhesion changes of carbon fibers by recycling methods. | PMC9457743 | molecules-27-05663-g004.jpg |
0.398698 | 5478edc9591247f5bf2dc699cb06113a | Three Axes of Spinal Cord Development: Rostrocaudal, Dorsoventral, and Mediolateral (A) Positional identity in the posterior CNS is defined by overlapping expression of HOX transcription factors: hindbrain (HOX1-4), cervical (HOX4-8), thoracic (HOX8-9), lumbar (HOX9-11) and sacral (HOX12-13). (B). Dorsoventral patterning occurs in response to roof plate (RP) and ectoderm-derived TGFβ, BMP, and Wnt signaling and floor plate (FP) and notochord-derived Sonic Hedgehog (Shh) and Noggin signaling. Schematic shows 11 discrete progenitor domains (plus a lateborn dorsal progenitor domain) and corresponding post-mitotic cardinal neuron populations with characteristic transcription factor marker expression. (C) Once outside the ependymal layer, progenitors differentiate into post-mitotic neurons and migrate to their final settling positions in the mantle layer. The mechanisms that regulate birthdate are poorly understood but have significant influence on neuronal migration and projection patterns. | PMC9458954 | fcell-10-942742-g001.jpg |
0.388083 | c77648e68dfb4413b35a9df83b74b401 | Bioengineering Strategies for Spinal Cord Organoids (A) Spatial confinement using biomaterials, including micropatterned substrates, enables control over tissue size and structure. Culture conditions can be used to refine whether organoids are wholly neural (including brain vs. spinal) or multi-lineage gastruloids representing multiple germ layers. (B). Microfluidics in 2D or 3D can be used to generate orthogonal gradients capable of patterning the wide spectrum of cell types formed along the rostrocaudal and dorsoventral axes during spinal development (C) Addition of genetically engineered cells to organoids can enable vasculature, morphogen patterning, or optogenetic stimulation for improved cell type patterning and maturation. | PMC9458954 | fcell-10-942742-g002.jpg |
0.422266 | 57dc33cd23534f61994f7343b64e3c0d | General diagram of the proposed method. | PMC9460171 | sensors-22-06503-g001.jpg |
0.451828 | 0beaa8e6068743d3a932325777314201 | The architecture of the deep learning model. | PMC9460171 | sensors-22-06503-g002.jpg |
0.439131 | 4c646f2d0b0f48028bcf61d850ff5a00 | Convergence of the proposed (customized) activation function and the sigmoid function. | PMC9460171 | sensors-22-06503-g003.jpg |
0.42456 | c7805761d5554300a416fb68c85eb3f7 | Confusion matrix of the proposed end-to-end CNN model. | PMC9460171 | sensors-22-06503-g004.jpg |
0.456979 | 30445ff4cd084b10a0c2a80adf96ee41 | Proposed end-to-end CNN training and validation accuracy curve. | PMC9460171 | sensors-22-06503-g005.jpg |
0.510153 | 171ec98f07fb4fef8004c32229947663 | Proposed end-to-end CNN training and validation error curve. | PMC9460171 | sensors-22-06503-g006.jpg |
0.445702 | 01315aa07acb4034b64208431baf1d24 | Confusion matrix of the SVM classifier. | PMC9460171 | sensors-22-06503-g007.jpg |
0.421003 | 7e6e225ab22449a491e4b99ceb4b7694 | Schematic of the main performers in the tissue-paper-embossing process. | PMC9460798 | polymers-14-03448-g001.jpg |
0.382224 | f5d65a472707464b9dcaeabcc4fabc64 | Images of the 3D steel embossing plates with the deco pattern and micropattern, and details of the respective finishing geometries: (a) deco pattern with straight lines, (b) deco pattern with round lines, (c) micropattern with straight dots, and (d) micropattern with round dots. | PMC9460798 | polymers-14-03448-g002.jpg |
0.419285 | 43b71f48d2a74634a9ba634f1ea02a12 | Finishing geometry and dimensions of the lines and dots engraved in the 3D steel plates: (a) line with a round finishing, (b) dot with a round finishing, (c) line with a straight finishing, and (d) dot with a straight finishing. | PMC9460798 | polymers-14-03448-g003.jpg |
0.46916 | 7c3eaa22b6414024a739adf319ffc247 | Model dimensions, characteristics, and boundary conditions. | PMC9460798 | polymers-14-03448-g004.jpg |
0.372495 | 760c85f6eff046608152cf25a28221bc | Results of mechanical characterization and bulk obtained for all the embossed samples and the reference paper, B, for the different finishing geometries of the 3D steel plates. | PMC9460798 | polymers-14-03448-g005.jpg |
0.398903 | 59a4dd44c4ee4cc69a97eed2d79ec398 | Global views of the tissue-paper samples engraved with the different considered embossing plates: (a) Bdsl (front side), (b) Bdrl (front side), (c) Bdsl (back side), (d) Bdrl (back side), (e) Bmsd (front side), (f) Bmrd (front side), (g) Bmsd (back side), and (h) Bmrd (back side). | PMC9460798 | polymers-14-03448-g006.jpg |
0.385185 | 7be68943d1d04f46a6d88514f9431f81 | Different views of the 3D maps created for the front and back sides of the tissue-paper sample Bdsl. | PMC9460798 | polymers-14-03448-g007.jpg |
0.427317 | bdb19cb585ca41dfb37e2cd088569b97 | Different views of the 3D maps created for the front and back sides of the tissue-paper sample Bdrl. | PMC9460798 | polymers-14-03448-g008.jpg |
0.437538 | 12728b3b986f47dda814b36e7234d978 | Different views of the 3D maps created for the front and back sides of the tissue-paper sample Bmsd. | PMC9460798 | polymers-14-03448-g009.jpg |
0.431341 | bfb5606ddd2144f197932404215e51bb | Different views of the 3D maps created for the front and back sides of the tissue-paper sample Bmrd. | PMC9460798 | polymers-14-03448-g010.jpg |
0.434746 | 5da38e29c654428daafcc42e6eae0de1 | Spreading dynamics of a liquid droplet from t = 35.7 ms to 3 s for the tissue-paper sample Bdsl. | PMC9460798 | polymers-14-03448-g011.jpg |
0.462168 | 554c51912812463cbc7c068c5cd65236 | Spreading dynamics of a liquid droplet from t = 35.7 ms to 3 s for the tissue-paper sample Bdrl. | PMC9460798 | polymers-14-03448-g012.jpg |
0.416807 | c2a458a8007640b689a880825d32268a | Spreading dynamics of a liquid droplet from t = 35.7 ms to 3 s for the tissue-paper sample Bmsd. | PMC9460798 | polymers-14-03448-g013.jpg |
0.400041 | 19e0557d8257419ca133df7b952b31c7 | Spreading dynamics of a liquid droplet from t = 35.7 ms to 3 s for the tissue-paper sample Bmrd. | PMC9460798 | polymers-14-03448-g014.jpg |
0.461968 | 03e7d9c04a79425f9d5afd5cf686d792 | Comparative graphs of the spreading dynamics of a liquid droplet for the tissue-paper samples Bdsl (in blue), Bdrl (in red), Bmsd (in green), and Bmrd (in yellow). | PMC9460798 | polymers-14-03448-g015.jpg |
0.397651 | 6a8c8cc580224ba38303fa3130903e61 | Results obtained for handfeel (HF) for all the embossed samples and the reference paper, B, for the different finishing geometries of the 3D steel plates. | PMC9460798 | polymers-14-03448-g016.jpg |
0.481525 | 54fc34898634446f9c3fb3aba3d14c71 | Handfeel (HF) behavior as a function of bulk. | PMC9460798 | polymers-14-03448-g017.jpg |
0.438041 | 7631ec937cc6485f843c8847221819f2 | Plastic-stress-field finite-element results for deco pattern with round finishing. | PMC9460798 | polymers-14-03448-g018.jpg |
0.444101 | a0716f36095e444a85c29ed3e8120d71 | Plastic-stress-field finite-element results for deco pattern with straight finishing. | PMC9460798 | polymers-14-03448-g019.jpg |
0.447608 | 8369ba22346a4b99bc7e7d5733794031 | Plastic-stress-field finite-element results for micropattern with round finishing. | PMC9460798 | polymers-14-03448-g020.jpg |
0.510443 | b79eb8f4d1264e1a8d1b269916e1dc9c | Plastic-stress-field finite-element results for micropattern with straight finishing. | PMC9460798 | polymers-14-03448-g021.jpg |
0.483516 | a8b9676830c447548ed6e5b2faeaec4a | Heat pipe operation [56]. | PMC9460871 | sensors-22-06367-g001.jpg |
0.406031 | a0b5a97ab31949faa6d3d583e8306f7f | Modified PV panel with integrated fanless heat pipe sink. | PMC9460871 | sensors-22-06367-g002.jpg |
0.396236 | 8aa942a910ec4021b8dfdc1a183df988 | Fanless heat pipe sink. | PMC9460871 | sensors-22-06367-g003.jpg |
0.448094 | 8b669db54383491fa5688f77d84abe3d | (a) Experimental setup (b) Schematic diagram of experimental test rig. | PMC9460871 | sensors-22-06367-g004.jpg |
0.473506 | 7a8a1b1f888643fda934bd8aab9abfe7 | Effect of temperature on efficiency and global solar radiation (obtained from PVsyst software). | PMC9460871 | sensors-22-06367-g005.jpg |
0.438362 | 67170032a0164a1ea20286b4f1748793 | Effect of incident radiation on the P-V plot at 45 °C cell temperature (obtained from PVsyst software). | PMC9460871 | sensors-22-06367-g006.jpg |
0.407084 | c9b4de01147d424e8c4fa1fd59fd4de4 | Weather characteristics for the period of the experiment (i.e., solar radiation and ambient temperature). | PMC9460871 | sensors-22-06367-g007.jpg |
0.481128 | 13d9d8d9edb24992a35bce4e3b3f4f07 | Weather characteristics for the period of the experiment day in relative humidity and wind speed. | PMC9460871 | sensors-22-06367-g008.jpg |
0.518765 | e4530835138144d19fa65d5a6715b10c | Time dependence of temperature of the two PV panels. | PMC9460871 | sensors-22-06367-g009.jpg |
0.358517 | bce3a4f53a0a4dd1a70806b747dc3ca3 | Thermal image of a cooled PV panel. | PMC9460871 | sensors-22-06367-g010.jpg |
0.411439 | 5e8f65b638a94459b1e555e8f4e17939 | Thermal image of an uncooled PV panel. | PMC9460871 | sensors-22-06367-g011.jpg |
0.506698 | 59d086fbc25049cdaf6a3d135d87f7ca | Time dependence of (a) Voltage and (b) Current of both PV panels. | PMC9460871 | sensors-22-06367-g012.jpg |
0.499864 | 2d112cf3f12c44dab5163cda72abf96a | Temperature dependence power output of both PV panels. | PMC9460871 | sensors-22-06367-g013.jpg |
0.429476 | 334de8af4d1f4294bc3e20a7d87b6d2b | Time dependence (a) electrical efficiency (b) improvement in efficiency. | PMC9460871 | sensors-22-06367-g014.jpg |
0.447715 | adb4f4d8f8fd40b2b33357171a897fed | Time-dependent exergy efficiency. | PMC9460871 | sensors-22-06367-g015.jpg |
0.477235 | 395fbb0a811c4e59bcf14b2cfec9d8f9 | Recruitment profile for stroke cases and controls at Nsambya hospital in Kampala, Uganda (2016–2018). | PMC9461590 | gr1.jpg |
0.419266 | 6706a7d617804b39be9580c593c3205c | Dot plot showing age for ischaemic and haemorrhagic stroke patients in Kampala, Uganda (2016–2018). | PMC9461590 | gr2.jpg |
0.463522 | d17bc36af7884a04a34fa04fc852d128 | Mediation model. Parenting behaviour as a mediator of the relationship between financial worry and child SDQ. ACME, average causal mediation effect; ADE, average direct effect; SDQ, Strengths and Difficulties Questionnaire. | PMC9462077 | bmjpo-2022-001569f01.jpg |
0.408459 | 8a20284feffa4854861c5aeda24a05d7 | (A) Hematoxylin and eosin (H&E) staining images of the pyramidal cells in the hippocampus CA1 region of the control, AD model, donepezil, and pine nut groups. The black arrowhead represents normal cells and the red arrowhead represents distorted cells. (B) Acetylcholine (Ach) level, (C) acetylcholinesterase (AchE) activity, and (D) choline acetyltransferase (ChAT) activity of control, AD model, donepezil, and pine nut groups (mean ± standard deviation, ∗P < 0.05 presented comparing with model group, #P < 0.05 and ##P < 0.01 presented comparing with drug (donepezil or pine nut) group). | PMC9463486 | gr1.jpg |
0.420235 | 2c40dad6bc324ed3831e31146bbff695 | (A–D) Regression curves between N/N0 and the factor's threshold in the plasma sample. N is the number of variables that meets the factor's threshold. N0 is the number of initial variables. a, b, c, and d represent the thresholds of variable importance in projection (VIP), fold change (FC), area under receiver operator characteristic curve (AUROC), and −ln(P value), respectively. (E–H) The R2X, R2Y, and Q2 values of the partial least squares-discriminant analysis (PLS-DA) models performed by the variable sets selected through considering the thresholds of (E) VIP, (F) FC, (G) AUROC , and (H) –ln(P value) in the plasma sample. | PMC9463486 | gr2.jpg |
0.405509 | 9bc7676cf93d407b98c26a816eb77349 | (A–C) Wayne plots of the numbers of variables meeting the requirements of multi-factor in plasma, hippocampus, and cortex samples. The best multi-factor combination is marked in blue in the Wayne plot. (D–F) The score plots and parameters of PLS-DA model performed by the best combination in plasma, hippocampus, and cortex samples. Black and red circles represent the control and AD model groups, respectively. (G–I) The receiver operator characteristic curves of the variables of the best combinations in the plasma, hippocampus, and cortex samples. (J–L) The score plots of PLS-DA models performed by the selected variables of control, AD model, and donepezil groups in the plasma, hippocampus, and cortex samples. Therapeutic effect of donepezil was reflected by the curative direction towards the control group. Black, red, and green circles represent the control, AD model and donepezil groups, respectively. The red arrowhead represents the modeling direction, and the green arrowhead represents the curative direction. (M–O) The score plots of PLS-DA models performed by the selected variables of control, AD model, and pine nut groups. The therapeutic effect of pine nut was reflected by the curative direction towards the control group. Black, red, and light blue circles represented control, AD model, and pine nut groups, respectively. The red arrowhead represents the modeling direction, and the light blue arrowhead represents the curative direction. | PMC9463486 | gr3.jpg |
0.503752 | 3cd350b46d4442d4b27b67d2c3d66c08 | (A, D, and G) The score plots and parameters of the PLS-DA models performed by the variables selected by usual procedure in plasma, hippocampus, and cortex samples. Black and red circles represent the control and AD model groups, respectively. (B, E, and H) The score plots of the PLS-DA models performed by the selected variables of the control, AD model, and donepezil groups in plasma, hippocampus, and cortex samples. Black, red, and green circles represent the control, AD model, and donepezil groups, respectively. The red arrowhead represents the modeling direction. (C, F, and I) The score plots of PLS-DA models performed by the selected variables of control, AD model, and pine nut groups in plasma, hippocampus, and cortex samples. Black, red, and light blue circles represent the control, AD model, and pine nut group, respectively. The red arrowhead represents the modeling direction. | PMC9463486 | gr4.jpg |
0.461222 | d723ec5da9dd4e34825a02a68ecc6f47 | Flow chart of the study. | PMC9465333 | fphar-13-944158-g001.jpg |
0.435713 | da5e223a2d544c4ab89db966ec06bb69 | Identification of necroptosis-related lncRNAs in OS. (A). The heatmap of 218 differentially expressed necroptosis-related lncRNAs. T represents tumor tissue, and N represents normal tissue. (B). The volcano of 218 differentially expressed necroptosis-related lncRNAs. (C). The correlation network between necroptosis-related lncRNAs. (D). The prognostic lncRNAs extracted by univariate Cox regression analysis. | PMC9465333 | fphar-13-944158-g002.jpg |
0.426485 | 13edd22d635b408eb7356f91df53e29b | Construction of a prognostic pyroptosis-associated lncRNA signature. (A,B). The LASSO Cox analysis determined 15 prognostic genes. (C). The forest map of multivariate Cox analysis. (D). The network between lncRNAs and necroptosis genes (correlation coefficients > 0.3 and p < 0.001). | PMC9465333 | fphar-13-944158-g003.jpg |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.