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
|
|---|---|---|---|---|
0.463978 | d930d968664a4131b55c32c984346ed5 | High FLI-1 expression is associated with significant immune cell recruitment in cervical cancer. Quantification of (A) B cell naive, (B) B cell plasma, (C) macrophage M1, (D) macrophage M2, (E) mast cell activated, (F) mast cell resting, (G) monocyte, (H) NK cell activated, (I) T cell CD4+ memory activated, (J) T cell CD8+, and (K) T cell follicular helper in CC patients with high FLI-1 expression and low FLI-1 expression from the TCGA dataset using CIBERSORTx software. The data used were transformed to log2, which allows the use of the Student t-test. | PMC10094573 | ijms-24-06032-g007.jpg |
0.39151 | cc33db82b0ad4ada81529c82765e8166 | The phylogenetic relationships shared by bat trypanosomes and corresponding clade and subgenera nomenclature are represented. Zoonotic bat trypanosomes have an asterisk. Modified with permission [22]. | PMC10094973 | ijms-24-06583-g001.jpg |
0.43514 | 7f2d8e58549c44b98fc459b925aba426 | SARS-CoV-2 infection cycle involving ACE2 and the intermediary proteins within the broader context of the RAS system. Endocytosis of the ACE2 enzyme and severe acute respiratory syndrome-coronavirus (SARS-CoV-2) viral particles initiate the cycle. Following on, Ang II (angiotensin II) levels rise with increased activity of angiotensin 1 receptors (AT1R), fostering elevated ROS, vasoconstriction, and hypertrophy, isolating the Ang 1–7-driven branch of the RAS system. This activates the surface shredding enzyme (shredase) ADAM17, which cleaves ACE2 and is upregulated by endocytosed SARS-CoV-2 spike proteins. With upregulation, the enzyme cleaves its primary substrate, releasing soluble TNF-α (tumour necrosis factor-α) into the extracellular region with systemic cytokine elevations. Reproduced with permission from the American Heart Association [76]. | PMC10094973 | ijms-24-06583-g002.jpg |
0.42814 | f711c14726bf4ce3ae441b1397df2056 | Small molecule inhibitors of mesotrypsin. (A) Competitive inhibition assay, all three compounds bind to mesotrypsin, with diminazene demonstrating the strongest affinity for the isoform. (B) Crystal structure of the diminazene mesotrypsin complex, interaction and specificity are mediated by Asp-189. Reproduced with permission [100] Creative Commons Attribution License. | PMC10094973 | ijms-24-06583-g003.jpg |
0.441008 | d70d898bae3c4f528230af00bb38163b | Parasitic impairment of B and T cells results in suppression of the adaptive response and specific antibody levels. (A) Decrease in specific antibody levels, increase in bacterial burden, exacerbation of disease severity, and the emergence of resistance to antimicrobials. (B) Diminished cellular humoral immunity and vaccine efficacy, possible breakthrough infection. (C) Protozoan modulated vaccine antibody response against different viral pathogens; impact on breakthrough infections inconclusive. Adapted from Akoolo et al. [34]. | PMC10094973 | ijms-24-06583-g004.jpg |
0.487982 | 4ec5ce931a0d400c99e44feaa43fc896 | (a) Relationship between donor’s pericardial interleukin-6 levels (IL-6) and primary graft dysfunction after heart transplant. (b) Relationship between donor’s pericardial interleukin-6 levels (IL-6) and postoperative mechanical circulatory support after heart transplant. | PMC10095178 | ijms-24-06780-g001.jpg |
0.454782 | 2277fa558652460090b591f827431537 | Relationship between donors’ desmopressin (a), glucocorticoid (b) and L-thyroxine (c) replacement therapy and the pericardial immune profile. | PMC10095178 | ijms-24-06780-g002.jpg |
0.43313 | 06cc218c25864117a23a457834da5feb | Description of the study. ALP: alkaline phosphatase; ALT: alanine transaminase; Apo: apolipoprotein; AST: aspartate aminotransferase; BUN: blood urea nitrogen; CKMB: creatin kinase-MB isoform; CRP: C-reactive protein; GGT: gamma-glutamyl transferase; HCT: hematocrit; HDS: Heart Donor Score; HGB: hemoglobin; HTX: heart transplantation; IFN γ: interferon-γ; IL: interleukin; INR: international normalised ratio; oxLDL: oxidized low-density lipoprotein; PLT: platelet count; RBC: red blood cell; T3: triiodothyronine; T4: thyroxine; TAPSE: tricuspid annular plane systolic excursion; TNF: tumor necrosis factor; UNOS: United Network for Organ Sharing; WBC: white blood cells. | PMC10095178 | ijms-24-06780-g003.jpg |
0.386047 | 091d6d5d3aad4cc1aeb9e17732e00b5b | Comparison of the gene clusters from L. salivarius UCC118 and L. salivarius P1CEA3. ORFs are indicated by numbers and arrows, and those with a known function are indicated by gene identity and color. (a) ORFs 10–12 (so called abpK*) code for a truncated version of AbpK from L. salivarius UCC118; (b) comparative alignment of the amino acid sequences of presalivaricin B in L. salivarius UCC118, L. salivarius M7, and L. salivarius P1CEA3. Amino acid differences are highlighted in blue. | PMC10095417 | ijms-24-06813-g001.jpg |
0.463535 | dfe2c9cd13094f2c9dd2f331635c6585 | Comparison of bacteriocin gene clusters of different nisin variants. ORFs are indicated by numbers, and those with a known function are indicated by gene identification and color. | PMC10095417 | ijms-24-06813-g002.jpg |
0.380282 | 41713e87bf0446678b72fcc89a545f80 | Dendrogram and multiple-sequence alignment of mature nisin variants, including NisS (in bold), observed molecular weight (MW), and accession number. For alignment and phylogeny reconstruction of the nisin variants, the MEGA11 software was used [35]. a Molecular weight (MW) of nisin variants in daltons, and b reference is given when the accession number is not available [20,21,22,23]. | PMC10095417 | ijms-24-06813-g003.jpg |
0.41218 | 1a349932954e499e9bfd62a298c1feb3 | Antimicrobial activity of the IV-CFPS-produced Abp118α and Abp118β bacteriocins, alone or together, by using the spot-on-lawn test (SOLT) against P. damnosus CECT 4797 (a) and L. salivarius P1ACE3 (b), as the indicator organisms. The blue circle indicates the position and area occupied by each of the fractions tested. | PMC10095417 | ijms-24-06813-g004.jpg |
0.464849 | 4983198369d648caa82a8388f6c212f6 | (a) Colony MALDI-TOF MS of L. salivarius P1ACE3; (b) direct antimicrobial activity of a single colony against P. damnosus 4797. (c) MALDI-TOF MS of the RP-FPLC active fraction from a purified supernatant of L. salivarius P1ACE3; (d) antimicrobial activity of the eluted fraction against P. damnosus CECT 4797. | PMC10095417 | ijms-24-06813-g005.jpg |
0.522563 | d0a90c5ab2b74826b8c6a58c132e7059 | Predicted structure of the novel nisin S variant, using the deduced nisin A structure as a template. Post-translational modifications are indicated as follows: (Dha) dehydroalanine, (Dhb) dehydrobutyrine, (A-S-A) lanthionine, and (Abu-S-A) 3-methyllanthionine. Nisin rings are indicated as A, B, C, D, and E. Numbers indicate amino acid position. Differences in amino acids are shown as dark blue. | PMC10095417 | ijms-24-06813-g006.jpg |
0.424681 | 398c9a64a2164e7c84e759686ca6f3bc | Experimental data and theoretical curves represented by nonlinear kinetics two-site model (TSM) for acetamiprid and thiacloprid sorption in experimental soils S1–S4 (a–d). Values are expressed as mean of three determinations with standard deviation. | PMC10095529 | ijms-24-06548-g001.jpg |
0.460757 | f8da107189fc4199b477a433c68b2343 | Experimental data and theoretical curves represented by two-site model (TSM) for desorption of acetamiprid and thiacloprid in experimental soils S1–S4 (a–d). Values are expressed as mean of three determinations with standard deviation. | PMC10095529 | ijms-24-06548-g002a.jpg |
0.48051 | 6c2ea857065c4355a1bde3eec1ddd0ac | Effect of physico-chemical soil characteristics on acetamiprid/thiacloprid sorption (a,b) and desorption (c,d) parameters obtained by mathematical modelling represented by principal component analysis (PCA) (N = 1200; pooled data; 4 soils × 3 replication × 10 soil characteristics × 10 sorption parameters) in soils S1 to S4 represented by two main components (PC1 and PC2) (a,c) projections of the variables: active (sorption parameters) and supplemental (soil characteristics); (b,d) Projections on cases (soils) on the factor-plane. | PMC10095529 | ijms-24-06548-g003.jpg |
0.463626 | 5ec592ffb29c4b149df471fea1dba495 | Graphic location of the soil sampling sites (S1–S4) and their position on the groundwater vulnerability map. | PMC10095529 | ijms-24-06548-g004.jpg |
0.448204 | 4f814b2eea654f658506e61bc535652b | The effect of the bandwidth multiplier parameter on cell length fits. (a) A very strict fit of the cell lengths by setting the bw_multiplyer to 0.3. A strict fit can result in too much variation in the fit (encircled in red). (b) Fitted cell length data, using the calculated bandwidth (bandwidth multiplier = 1).(c) A more loose fit of the cell lengths by setting the bw_multiplyer to 3. A loose fit can result in oversmoothing and thereby poor fitting of the cell sizes, especially at the end of the meristem (encircled in red) and/or the end of the growth zone. | PMC10095969 | S263288282000003X_fig1.jpg |
0.48116 | d32e4eabe3ce4fde9458163fd02c21d9 | Averages of fitted cell length profiles for three cadmium treatments. Data originate from the sample dataset in which we analysed leaf growth of B73 plants, grown in control and cadmium spiked potting soil (mild and severe treatment), (Bertels et al., in press). This graph illustrates the added advantage of being able to plot cell length curves, since this plot illustrates that mature cell length is not affected by our treatment, however the growth zone size is affected (i.e. under cadmium conditions, cells reach their mature cell length closer to the base of the leaf). The code to recreate this plot is available in the tutorial R-script (https://github.com/impres-lab). | PMC10095969 | S263288282000003X_fig2.jpg |
0.443067 | cede91dde19d4306b2e7be43cf13cb8c | (a) Aluminum sample with graidient grain size along the y-direciton with assigned shearing texture (blue shading area) within lD. Pole figures of assigned textures (b) A; (c) B; (d) C; and (e) random orientations. | PMC10096044 | materials-16-02603-g001.jpg |
0.44029 | 5f5ab4c01ae84cfa85ddd4ae914f2479 | Stress–strain curves of different shearing textures within (a) lD=30 μm; (b) lD=20 μm; and (c) lD=10 μm. (d) Average mobile dislocation density vs. strain for three typical shearing textures. | PMC10096044 | materials-16-02603-g002.jpg |
0.46016 | ff3f0eb9a97c4574ab422eec21315ee5 | Spatial distribution of average equivalent strain (εeq), average equivalent stress (σeq ), and (c) average mobile dislocation density ρM vs. y for strain (a) 10%; (b) 20%; and (c) 30% when lD=30 μm. | PMC10096044 | materials-16-02603-g003.jpg |
0.54168 | bc7e75d032e3412ba4e5283aaa0ae9a9 | Pole figures of samples with assigned textures (a) A; (b) B; (c) C; and (d) random orientations within lD=30 μm at 10% strain. | PMC10096044 | materials-16-02603-g004.jpg |
0.492503 | e2d4cd7a15f94915a784a77099b519fb | Spatial distribution of average equivalent strain (εeq), average equivalent stress (σeq ), and (c) average mobile dislocation density ρM vs. y for strain (a) 10%; (b) 20%; and (c) 30% when lD=20 μm. | PMC10096044 | materials-16-02603-g0A1.jpg |
0.449335 | 5c901e16291743729a478ff272940346 | Spatial distribution of average equivalent strain (εeq), average equivalent stress (σeq ), and (c) average mobile dislocation density ρM vs. y for strain (a) 10%; (b) 20%; and (c) 30% when lD=10 μm. | PMC10096044 | materials-16-02603-g0A2.jpg |
0.410289 | ba80fd52b9264e338d796ab3e012d141 | Contour plots of (a) equivalent stress and (b) equivalent strain for samples with different initial textures A, B, C, and random at 20% strain. | PMC10096044 | materials-16-02603-g0A3.jpg |
0.402471 | 9fac7e4726ba464f9cd798f8bf766d3a | Chemical structures of the analyzed PAHs. | PMC10096086 | molecules-28-03218-g001.jpg |
0.389449 | fca1cdc9094344b297393cdfd0db855a | Plot of the predicted tr obtained by ANN against the experimental values for the calibration, validation, and test sets. | PMC10096086 | molecules-28-03218-g002.jpg |
0.402904 | 9dcf6f2e38544096b8b8d9e94e12b46c | PLS model on the predictors selected by CovSel. | PMC10096086 | molecules-28-03218-g003.jpg |
0.429322 | 773d642b0cf349bbb29f8e3ad35966b4 | General scheme of a neuron unit. Xi represent the variables of the input layer, Wij is the weight from neuron j and the neuron i, and biasj is the bias on neuron j. Netj is the activation as the sum of the weighted inputs of neuron j. yj is the output of neuron j resulting from the application of hyperbolic tangent transfer function. | PMC10096086 | molecules-28-03218-g004.jpg |
0.475136 | 9ade135f68f943069c3227341b6aa00f | Thermosensitive behaviors of polymers in solution and hydrogels [13]. | PMC10096131 | materials-16-02761-g001.jpg |
0.550217 | c21e4784f5144bbfb3d5ae9477075d78 | FTIR spectra of the GA, PVA, and CHPVA samples. | PMC10096131 | materials-16-02761-g002.jpg |
0.518718 | 79091238596a457592e271c9ba40906c | 1H-NMR (DMSO-d6 as solvent) spectra of the PVA, HPVA-5, and HPVA-4 samples. | PMC10096131 | materials-16-02761-g003.jpg |
0.423406 | 20cd1c07e0e0457ca5596867c7fb2aac | (a) TGA curves for PVA and CHPVA gels; (b) DTG curves for PVA and CHPVA gels (heating rate 10 °C/min). | PMC10096131 | materials-16-02761-g004.jpg |
0.53366 | 820f5d7619a44d878d1f0e47cc87acfc | SEM images of the gel sample (CHPVA-5-0.5: (a) 100,000×, (b) 50,000×, (c) 10,000×; CHPVA-4-0.5: (d) 100,000×, (e) 50,000×, (f) 10,000×). | PMC10096131 | materials-16-02761-g005.jpg |
0.464692 | ef2fbe42476043a6b21d598bf71151ad | (a) Temperature dependence of the optical transmittance for aqueous solutions of HPVA for different degree of hydrophobic modification. Changes in transmittance were recorded during heating at 10 °C/h. (b) Variation in LCST and UCST as functions of degree of modification for HPVA in saline. The LCST and UCST were defined as a 50% of maximum in transmittance in (a). | PMC10096131 | materials-16-02761-g006.jpg |
0.420807 | 8964a5bfd746484abbc7eb063e9d380d | Changes in transmittance with temperature for chemically crosslinked CHPVA hydrogels modified by (a) 4% of HPM and (b) 5% of HPM with different crosslink densities (0.5, 1.0, and 1.5 wt.%). Changes in transmittance were recorded during heating at 10 °C/h. | PMC10096131 | materials-16-02761-g007.jpg |
0.458376 | 2f945e2bac3e4c9197f9c0c9e7c287fd | Swelling ratio vs. solution temperature for hydrogels with different HPM/PVA molar ratios (indicated in the figure) at the same crosslinker concentration in saline (0.5 wt% of GA). | PMC10096131 | materials-16-02761-g008.jpg |
0.42663 | 9661a5fa7e3a4fd2adf63621a49c1a1d | Schematic synthesis procedure of the CHPVA. | PMC10096131 | materials-16-02761-sch001.jpg |
0.42192 | dba40e25136e4b1ab3ac941432bf9649 | Effects of insulin and metabolic stressors on mitochondrial and macronutrient metabolism (Biorender). | PMC10096767 | nutrients-15-01593-g001.jpg |
0.441984 | 371220e9a64f408989ba900a007dbaaf | Schematic overview showing the different exposure conditions in the monoculture, coculture and triple coculture setup, as well as the preparation steps taken for the different methods to determine insulin sensitivity. | PMC10096767 | nutrients-15-01593-g002.jpg |
0.522205 | 43512eaf7cf64937bb3c89146b21bc2f | Overview figure for exposures and setups in cellular bioenergetics experiments. Subfigures show the stimuli and stressors that were used in different setups (a) as well examples of general responses to different stressors (b), based on our experimental data. Measures for calculation of ATP rates are indicated in the graphs for the ATP rate assay. | PMC10096767 | nutrients-15-01593-g003.jpg |
0.458588 | a9097c5d008a400896f681108cce0392 | The effect of disaccharide injections on protein-corrected ECAR responses in differentiated Caco-2 cells. Subfigures (a,b) show the ECAR profiles of individual experiments with 3–5 replicates per condition, whereas (c) shows the boxplots for the 10 min ECAR increase upon injection of 10 mM sugar and consists of the pooled data from graphs (a,b). The assay medium at the start of the assay consisted of XF base medium, without sugars, L-glutamine or pyruvate. B indicates a statistically significant (p < 0.05) difference compared to the mannitol control, whereas A indicates that there is no significant difference compared to mannitol. | PMC10096767 | nutrients-15-01593-g004.jpg |
0.410937 | 35e3201310f345b5a628850d33f0efb1 | Changes in glucose concentrations within 24 h, following disaccharide exposures in a Caco-2/HepG2/L6 triple coculture model. This figure visualizes the glucose concentration in the Caco-2 medium, sampled at 0, 2, 4 and 24 h exposure. Data were generated from four different wells (each from a separate plate) per condition with * indicating a statistically significant (p < 0.05) change in glucose concentration within 24 h. Arrows indicate the direction (increase versus decrease) of the significant changes in glucose concentration. | PMC10096767 | nutrients-15-01593-g005.jpg |
0.465772 | c81910e8cf90413eb40b6e1fccf124c3 | Morphology of HepG2 cells following chronic exposure to 5.5 mM glucose (a), galactose (b), fructose (c) or l-arabinose (d). Microscopic pictures (10× magnification) were taken after 2 weeks of culture in the different media and 2 days after splitting. Cell growth on alternative media is indicated as % compared to glucose, based on cell count and time until ±80% confluency. Chronic exposures were performed in sugar-free medium with FBS and L-glutamine. | PMC10096767 | nutrients-15-01593-g006.jpg |
0.433458 | 0ec449f899e04979806a21eea4459a21 | The acute response to different sugars at 10 mM in HepG2 cells cultured under standard conditions (5.5 mM glucose, (a,c,e)) and after chronic galactose (5.5 mM, (b,d,f)) pre-treatment. Subfigures show the protein-corrected effects on the ECAR profile (a,b), the OCR profile normalized to the basal level in control cells (c,d) and ATP rates as % of total ATP rate during mannitol exposure (e,f). The assay medium at the start of the assay consisted of XF base medium, without sugars, L-glutamine or pyruvate. Data were generated from a total of eight wells per condition spread over two plates (a,c,e), or from four wells of a single plate (b,d,f)). * indicates statistical significance (p < 0.05) compared to the mannitol response. | PMC10096767 | nutrients-15-01593-g007.jpg |
0.493228 | f5a00ec343044972b262a292d35e7b17 | The effect of sugars and insulin on insulin-mediated glucose uptake in L6 cells determined with the GOD-POD assay, using models with different complexity. (a) Shows the effect of insulin on glucose uptake from an experiment with six replicates from a single plate. The other subfigures show how 24 h pre-treatment with monosaccharides (28 mM) or disaccharides (14 mM) impact insulin-mediated (50 μIU/mL) glucose uptake in a L6 monoculture model ((b): three independent plates for a total of nine replicates), HepG2/L6 coculture model ((c): two independent plates for a total of eight replicates) and Caco-2/HepG2/L6 triple coculture model ((d): at least three replicates per condition). Data were corrected for SRB (a–c) or average protein concentration within conditions measured with the Bio-Rad DC protein assay (d), and are presented as mean ± standard deviation with * indicating significant differences (p < 0.05) compared to the mannitol control. | PMC10096767 | nutrients-15-01593-g008.jpg |
0.444683 | ab72a542aca945f1a64db133774993e7 | The effect of insulin concentrations and high glucose pre-treatment on the glucose-induced ECAR response in L6 cells. Subfigures show the protein-corrected glucose-induced ECAR response as a Seahorse profile (a) and a bar graph. (b) The assay medium at the start of the assay consisted of XF base medium, without sugars, glutamine or pyruvate. (b) Shows bars for the 10 min (gray before bar) and 15 (black after bar) minute timepoint. Data were generated from 2 independent plates for a total of 10 wells per condition, and are presented as mean ± standard deviation with * indicating significant differences (p < 0.05). | PMC10096767 | nutrients-15-01593-g009.jpg |
0.478048 | dbc212d98b7b432a8092194c62d8b9fa | The effect of a 20-min insulin (100 nm) pre-treatment on ECAR (a) and OCR (b) responses following injection of glucose, oligomycin, FCCP and rotenone/antimycinA in L6 cells. Data were generated from experiments with 2 independent plates for a total of 10 wells per condition. | PMC10096767 | nutrients-15-01593-g0A1.jpg |
0.427875 | f341db34a30944b68df3a71e49171058 | Study protocol. | PMC10096963 | nutrients-15-01706-g001.jpg |
0.505466 | 6c7f41965bc346a89944af58f59615ef | CONSORT flow chart. | PMC10096963 | nutrients-15-01706-g002.jpg |
0.51069 | 4a76a838a9034027a54e18a69817bc71 | Correlation matrix between all variables. Healthy Behaviors (HB) significantly correlates with almost all psychological scales as expected (positively with well-being and interoceptive variables and negatively with anxiety and negative affect). Circles represent significant correlations after correcting for multiple comparisons. Colors blue and red indicate positive and negative values of r, respectively. The size of the circles and the intensity of each color represents the magnitude of the correlation. Abbreviations: STAI, State Trait Anxiety Inventory; RYFF, Ryff Well-being Scale; DERS, Difficulties in Emotional Regulation Scale; SWLS, Satisfaction with Life Scale; PANAS_POS, Positive and Negative Affect Scale, subscale Positive; PANAS_NEG, Positive and Negative Affect Scale, subscale Positive; SF36_PHY, Short Form Health Survey, subscale Physical; SF36_MEN, Short Form Health Survey, subscale Mental; FFMQ, Five Facet Mindfulness Questionnaire; MAIA, Multidimensional Assessment of Interoceptive Awareness Scale. | PMC10096963 | nutrients-15-01706-g003.jpg |
0.399173 | 01f9fc6e30ba4458af9075d1752399c8 | Linear Regression predicted scores using the linear regression model “Scales~Sex + Age + HB + Treatment+ HB × treatment + HB × treatment × time”. Red and blue colors represent placebo and probiotic groups, respectively. Points represent the values for DERS (a), STAI (b) and FFMQ (c). The shaded region represents the standard error. Abbreviations: STAI, State Trait Anxiety Inventory; DERS, Difficulties in Emotional Regulation Scale; FFMQ, Five Facet Mindfulness Questionnaire; HB, Healthy Behaviors. | PMC10096963 | nutrients-15-01706-g004.jpg |
0.46121 | c22cae9527cf4315906a01f6d469c304 | N2 adsorption–desorption isotherms of (a) fresh, and (b) used FeCrOx catalysts. | PMC10096975 | nanomaterials-13-01280-g001.jpg |
0.488358 | 238cd1135a56444193336a0f0b458760 | XRD patterns of fresh FeCrOx catalysts. | PMC10096975 | nanomaterials-13-01280-g002.jpg |
0.436003 | edc12c4d8a4b4ad0805db4f48863f91c | (a) NH3 conversion as a function of reaction temperature during NH3 decomposition reaction with the FeCrOx catalysts, and the dotted line is the data of the thermodynamic equilibrium [43]. (b) Arrhenius plots of NH3 conversion over FeCrOx catalysts, and (c) stability tests of Fe and Fe0.75Cr0.25 catalysts. All catalysts’ performances were tested with a gas hourly space velocity (GHSV) of 22,000 cm3
gcat−1 h−1. | PMC10096975 | nanomaterials-13-01280-g003.jpg |
0.484114 | aeffe6ab17b741a59aad1b480794f3de | SEM images of used FeCrOx catalysts after NH3 decomposition reaction: (a) Fe, (b) Fe0.75Cr0.25, (c) Fe0.5Cr0.5, (d) Fe0.25Cr0.75, and (e) Cr. | PMC10096975 | nanomaterials-13-01280-g004.jpg |
0.555714 | fa575729e13445f6a38da95bd9dec0f7 | XRD patterns of used FeCrOx catalysts after NH3 decomposition reaction. | PMC10096975 | nanomaterials-13-01280-g005.jpg |
0.438354 | ec08d4380e0d494ab6f0f071b0e75ffd | Fe K-edge XANES profiles (a), and EXAFS fitting results in R space (b), of used FeCrOx catalysts. | PMC10096975 | nanomaterials-13-01280-g006.jpg |
0.488109 | bb1392a08ec44b1fbb09f7ee13a9f479 | Cr K-edge XANES profiles (a) and EXAFS fitting results in R space(b) of used FeCrOx catalysts. | PMC10096975 | nanomaterials-13-01280-g007.jpg |
0.410978 | e093b05246c74f32948ce2928ec85cb0 | (a) Cr-Cr shell coordination numbers by EXAFS fitting data of used FeCrOx catalysts, and (b) Cr-Cr shell coordination numbers as a function of proportions between CrN and Cr2O3 model. | PMC10096975 | nanomaterials-13-01280-g008.jpg |
0.479203 | 93db1c42c80748789863c4ebf1dbc6de | XPS spectra of used FeCrOx catalysts: (a) Fe 2p, (b) Cr 2p, and (c) N 1s. | PMC10096975 | nanomaterials-13-01280-g009.jpg |
0.44473 | c13ef2185fbc43a6bf581fb07f2fc5c6 | H2-TPR profiles of FeCrOx catalysts. | PMC10096975 | nanomaterials-13-01280-g010.jpg |
0.419113 | 881d44d410c44389a6d819796ef5ab69 | Morphological characteristics of ‘Qiancha 1’ and SDT. (A) SDT tea plant contains leaves, stem, and flowers. (B) Mature leaves of QC1 (left) and SDT (right). (C) Flower diameter of QC1 (left) and SDT (right). (D) Style and ovary of QC1 (left) and SDT (right). The image was taken by the author of this article without copyright problem. | PMC10097665 | 41598_2023_32435_Fig1_HTML.jpg |
0.431287 | 1a440cdf88934190a234c6b6da6750b3 | Contents of purine alkaloids, catechins and theanine in tea samples. Data represent mean ± SD of three biological replicates. The different lowercase letters on the bar graph indicate significant differences at p < 0.05. | PMC10097665 | 41598_2023_32435_Fig2_HTML.jpg |
0.409525 | 4e97df47b5604ac8873fbac47f3b5f92 | Characteristics of full-length transcriptome sequencing. (A) Length distribution of the unigenes. (B) Number and percentage of annotated genes in different database. (C) Number of complete coding sequences. | PMC10097665 | 41598_2023_32435_Fig3_HTML.jpg |
0.462673 | a1e1bc10ce444bb0a666f5cdfad1270e | Analysis of differentially expressed genes (DEGs) by RNA-seq. (A) Statistics of DEGs in different samples. (B) Common and specific DEGs identified by upset venn diagram analysis. (C) KEGG enrichment analysis of DEGs in SDT-TL vs. QC1-TL and SDT-TL vs. SDT-R groups (p < 0.01). The size and color of the circles represent the number of DEGs and p-values, respectively. The x-axis represents the rich factor. | PMC10097665 | 41598_2023_32435_Fig4_HTML.jpg |
0.46837 | 7010c633c674413a8ecd28582a1f99d5 | Biosynthetic pathway and gene expression analysis of caffeine metabolism. The orange letters indicate enzymes associated with the metabolites. Heat map showing the relative expression level of genes in QC1-TL and SDT-TL. Data represent the mean values of three biological replicates. | PMC10097665 | 41598_2023_32435_Fig5_HTML.jpg |
0.389394 | 56d52090537b4423ac27da0810bae1f6 | WGCNA analysis of DEGs. The left box indicates the number of genes in each module. The color and number of each cell indicate the correlation coefficient between the module and metabolite content, respectively. Blue and red colors indicate the negative and positive correlation between modules and compound content. | PMC10097665 | 41598_2023_32435_Fig6_HTML.jpg |
0.492189 | 9595598622444a34a84b5d9e7a084f69 | Co-expression network of DEGs related to taste compound biosynthesis in tea plants. The size and color of the circle represent the number of edges and different genes, respectively. This image was generated by Cytoscape software38 (v3.6.0, https://cytoscape.org/). | PMC10097665 | 41598_2023_32435_Fig7_HTML.jpg |
0.437423 | 228a7f4a403d4cb5a70b10c81297df69 | A few DVF samples created by the authors using Unity version 2020.2.2f1 (https://unity.com/). | PMC10097677 | 41598_2023_31277_Fig1_HTML.jpg |
0.481532 | 68292fd4ec3042fba013d2895a745669 | A CONSORT flow diagram of the present studyDFK: diclofenac potassium | PMC10098432 | EEJ-8-133-g001.jpg |
0.440626 | 520193eb134d47f2a9fa7504d31f3cf6 | Postoperative endodontic pain scores with standard errors and exponential curves on 0-100 mm VAS at each time point for ibuprofen and diclofenac potassium groupsExpon.: Exponential curve, VAS: Visual analogue scales | PMC10098432 | EEJ-8-133-g002.jpg |
0.392132 | fe1cf1122cbd434fb7db9742e108b666 | Flow diagram of vital pulp therapyMTA: Mineral trioxide aggregate | PMC10098469 | EEJ-8-037-g001.jpg |
0.436254 | b8c063ae5300445da4edcbcb2f6651ed | Flow diagram of this retrospective study | PMC10098469 | EEJ-8-037-g002.jpg |
0.488845 | 327cf8e9c2d54750b2866945aee732d9 | The Kaplan-Meier cumulative survival probability from fracture curve of vital pulp therapy-treated permanent molars restored with direct resin composite restorations | PMC10098469 | EEJ-8-037-g003.jpg |
0.456704 | bb81d5e0f82b475e969daabf97012041 | The Kaplan-Meier cumulative survival probabilities from fracture curves of vital pulp therapy-treated permanent molars according to tooth location (maxilla and mandible) | PMC10098469 | EEJ-8-037-g004.jpg |
0.523227 | c0fb83d0e61c4a38874207aa5c98008d | The Kaplan-Meier cumulative survival probabilities from fracture curves of vital pulp therapy-treated permanent molars according to type of vital pulp therapy procedure (indirect pulp capping, direct pulp capping, partial pulpotomy, and coronal pulpotomy) | PMC10098469 | EEJ-8-037-g005.jpg |
0.439564 | 2f8d388c4e2543d2b6a9aa4140a54cee |
M
n values (A) and SEC curves (B) of PMMA obtained in radical polymerization of MMA in the presence of various sulfur‐free RAFT agents in PhC(CF3)2OH at 60 °C: [MMA]0/[RAFT agent]0/[AIBN]0=5000/50/5.0 mM. | PMC10099145 | ANIE-61-0-g001.jpg |
0.472438 | b44c4dbf9a68438b8a0d74cbecdea4ed |
1H NMR spectra (CDCl3, 55 °C) of sulfur‐free RAFT agents (P
2 (A), 1 (B), 2 (C), 3 (D), 4 (E), 5 (F) 6 (G)). | PMC10099145 | ANIE-61-0-g004.jpg |
0.414861 | 720bcc7154e142d39a58eff10d79d7e1 |
1H NMR spectra ((CD3)2CO, 50 °C for (A), CDCl3, 55 °C for (B)–(F)) of PMMA obtained i radical polymerizations of MMA in the presence of sulfur‐free RAFT agents (1 (A), 2 (B), 3 (C), 4 (D), 5 (E) 6 (F)). | PMC10099145 | ANIE-61-0-g007.jpg |
0.430306 | 381de5e55aba4d5eaa437e3af27a1520 |
1H NMR spectra (CDCl3, 55 °C) of PMMA (A), PMMA‐b‐PEMA diblock copolymer (B), and PMMA‐b‐PEMA‐b‐PBMA triblock copolymer (C) obtained via continuous monomer additions using a syringe pump at 2.0 μL min−1 in PhC(CF3)2OH at 60 °C.: [MMA]0/[EMA]add/[BMA]add/[2]0/[AIBN]0=1000/1000/1000/50/20 mM. | PMC10099145 | ANIE-61-0-g008.jpg |
0.482328 | 5297926fa49140968fb9cfbb6e61c2ae | Time‐conversion curves (A), M
n values (B), SEC curves (C), and picture of polymers obtained via continuous monomer additions using a syringe pump at 2.0 μL min−1 in PhC(CF3)2OH at 60 °C: [MMA]0/[EMA]add/[BMA]add/[BzMA]add/[4]0=1000/1000/1000/1000/50 mM, [AIBN]total=[AIBN]0+[AIBN]add=20+20 mM. | PMC10099145 | ANIE-61-0-g009.jpg |
0.470544 | e4645f091fcc436c8cc69c3511a55656 | Flowchart of the VMD-kurtosis denoising method. First, VMD decomposition is applied to the acoustic emission (AE) signal to convert the signal into eight IMFs. Next, the kurtosis factor value of each IMF is calculated. Finally, the IMF with kurtosis factor > 3 is reconstructed. | PMC10099170 | sensors-23-03541-g001.jpg |
0.395919 | 785b76b4e4a94425bcff228d9260ceeb | Typical CNN network: LeNet-5. | PMC10099170 | sensors-23-03541-g002.jpg |
0.570797 | f26c33e656b8482a96564da4fd291d3d | RepVGG network architecture. Left image: residual structure in ResNet. Middle image: training phase, using a similar multibranch residual structure inspired by ResNet. Right image: inference stage, converting all the network layers to Conv 3 × 3 through the reparameterization process. The rectified linear unit is a piecewise linear activation function that outputs the input directly if it is positive and zero otherwise [22]. | PMC10099170 | sensors-23-03541-g003.jpg |
0.513169 | f3d3140eb61b4dff98b3a2ae363173b4 | Bearing fault simulator: (a) diagram of the bearing fault simulator; (b) photographs of the bearing fault simulator. | PMC10099170 | sensors-23-03541-g004.jpg |
0.430994 | 6dda9b65505b4b22bfe876c64bae308a | SKF 3519/560/HCYA6: (a) rolling element damage with 2 mm diameter and 0–5 mm depth; (b) multirolling element damage with 2 mm diameter and 0.5 mm depth. | PMC10099170 | sensors-23-03541-g005.jpg |
0.474926 | 41b6f149082b458eb364eb914621e95e | The wind turbine spindle bearing on-line experimental setup. | PMC10099170 | sensors-23-03541-g006.jpg |
0.451634 | 1f1b8aaddd754e8ebaed43aaf3cebe4b | AE signals of the normal health state at 20 rpm and 100 kN radial load: (a) original signal; (b) signal after denoising; (c) MFCCs. | PMC10099170 | sensors-23-03541-g007.jpg |
0.441131 | 4e092ba5485f4462a086a26b62dce06b | AE signals of the RE damage state at 20 rpm and 100 kN radial load: (a) original signal; (b) signal after denoising; (c) MFCCs. | PMC10099170 | sensors-23-03541-g008.jpg |
0.475313 | b7f62123af684bc1a9393f3d251852c4 | AE signals of the OR damage state at 20 rpm and 100 kN radial load: (a) original signal; (b) signal after denoising; (c) MFCCs. | PMC10099170 | sensors-23-03541-g009.jpg |
0.463618 | 8ad6cb757dfc4a1d943be95fbaccf4a9 | AE signals of the MRE damage state at 20 rpm and 100 kN radial load: (a) original signal; (b) signal after denoising; (c) MFCCs. | PMC10099170 | sensors-23-03541-g010.jpg |
0.418826 | 0425c639db024d0ea903bf10bfa51812 | Feature map in stage 4 of RepVGG: (a) RE damage; (b) OR damage; (c) MRE damage. | PMC10099170 | sensors-23-03541-g011.jpg |
0.429813 | 29a959a4c3124002b73b33488fd52025 | Loss functions. | PMC10099170 | sensors-23-03541-g012.jpg |
0.393932 | dcc6d6081726420885eb0a821c8cd806 | Test confusion matrix: (a) bearing fault simulator; (b) wind turbine spindle bearing. | PMC10099170 | sensors-23-03541-g013.jpg |
0.553404 | 3955cad68dea448ea2a5ea3f2b40dad8 | Logic diagram for the
computation of the kinetic model of biomass
gasification. | PMC10099456 | ao3c00908_0002.jpg |
0.437537 | 269704b5e0ae445fb346feb7b875aabc | (a) Photograph
of the BFB gasifier unit; (b) outline diagram of
the BFB gasifier unit. | PMC10099456 | ao3c00908_0003.jpg |
0.431719 | b21b15f7cdd84bc8837f3615558d694f | Effect of temperature on the gaseous product composition (ER =
0.25, SBR = 1, Dp = 100 μm, P = 1 atm). | PMC10099456 | ao3c00908_0004.jpg |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.