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
|
|---|---|---|---|---|
0.449268 | 220f4b22baec40048548f9a0d3ffe55b | A schematic flowchart for the selection of articles included in this meta-analysis. | PMC10281183 | coc-46-323-g001.jpg |
0.460337 | 5dcea32f184245a2ac2b35a0f3612337 | Forest plot of the total risk of prostate cancer in the population exposed to hydrophilic statins and lipophilic statins (A, hydrophilic statins, P=0.075; B, lipophilic statins, P=0.001). | PMC10281183 | coc-46-323-g002.jpg |
0.424652 | f75008c8f0df44d8b8bda086ded739e0 | Forest plot of prostate cancer survival in the population exposed to hydrophilic statins and lipophilic statins (A, hydrophilic statins, P<0.001; B, lipophilic statins, P<0.001). | PMC10281183 | coc-46-323-g003.jpg |
0.426177 | 0b966edba45d493c80baa92bea0d2dd4 | The nickel-titanium (NiTi) palatal expander appliance: (a) NiTi expander on study model, (b) NiTi expander before freezing, (c) NiTi expander after freezing, and (d) NiTi expander placed in the oral cavity | PMC10282519 | JOS-12-8-g001.jpg |
0.449929 | e4e874b28380411aa6e24328aadc27e5 | The Quadhelix appliance: (a) Quadhelix on study model before activation, (b) Quadhelix on study model after activation, and (c) Quadhelix intraorally in the maxillary arch | PMC10282519 | JOS-12-8-g002.jpg |
0.434379 | b6e4d5cec3414d2e946a31daef083493 | Clinical facial height measurements taken using Digital Vernier Calliper | PMC10282519 | JOS-12-8-g003.jpg |
0.398491 | 59d3c06903a248d8bf4f628afe57011e | Cephalometric Landmarks | PMC10282519 | JOS-12-8-g004.jpg |
0.50747 | 8291e4078cc9419398967479c6d5d5e7 | Reference planes---Linear and angular measurements used to measure transverse changes | PMC10282519 | JOS-12-8-g005.jpg |
0.422003 | 2fd13ec9ac024749aaabc2255eb148ac | Study model analysis: (a) Scanned Occlusograms, (b) Scaling and Aligning on AutoCAD | PMC10282519 | JOS-12-8-g006.jpg |
0.4231 | d352dd65986640d6ae64d2c599eebfb0 | Patient record 1: (a) Pre-treatment, (b) post-treatment | PMC10282519 | JOS-12-8-g007.jpg |
0.463147 | cd7885d3d760476295bb431d1c1a63d8 | Patient record 2: (a) Pre-treatment, (b) post-treatment | PMC10282519 | JOS-12-8-g008.jpg |
0.494579 | cd814d7615d24856b940c25d2b5e5e32 | How to assess an adolescent's decision making capacity and address a situation raising ethical issues (adapted from ref 13). | PMC10282839 | fped-11-1120324-g001.jpg |
0.423276 | a8a2565bde5642fdab1f2aac8a05d67d | Fabrication of Dex-loaded pH/ROS dual-responsive NPs for targeted chronic prostatitis treatment | PMC10283268 | 12951_2023_1893_Fig1_HTML.jpg |
0.367845 | aa8284938bdd4c7789c058572d1b2cd1 | (A, B) CLSM images of the uptake of Cy5-labeled Dex/CA-Oxi-αCD NPs and Cy5-labeled Dex/FA-CA-Oxi-αCD NPs by LPS-stimulated macrophages, prostatic stromal cells and prostatic epithelial cells. (C-E) Semiquantitative analysis of the corresponding Cy5 fluorescence intensities in LPS-stimulated macrophages (C), prostatic stromal cells (D) and prostatic epithelial cells (E). Red indicates NPs, green indicates lysosomes and blue indicates DAPI. The scale bar represents 20 μm. ∗, Significantly different at p < 0.05; ∗∗, significantly different at p < 0.01; ∗∗∗∗, significantly different at p < 0.0001 | PMC10283268 | 12951_2023_1893_Fig2_HTML.jpg |
0.380583 | 2a8bdd59a46749be98e1e932ddd5ac6f | Macrophages and prostatic epithelial cells were treated with LPS and then incubated with free Dex, Dex/CA-Oxi-αCD NPs or Dex/FA-CA-Oxi-αCD NPs (Dex concentration of 5 µg/mL) for 24 h. (A, D) The mRNA levels of IL-1β, IL-17 A and TNF-α in macrophages and prostatic epithelial cells were measured by quantitative real-time PCR. (B, E) Western blot analysis of IL-1β, IL-17 A and TNF-α expression in macrophages and prostatic epithelial cells as described above. β-Actin was used as a loading control. (C, F) Quantitative analysis of the data presented in Fig. 3B, E. ∗, Significantly different at p < 0.05; ∗∗, significantly different at p < 0.01; ∗∗∗, significantly different at p < 0.001; ∗∗∗∗, significantly different at p < 0.0001 | PMC10283268 | 12951_2023_1893_Fig3_HTML.jpg |
0.367328 | 8bf3bd0912bf40c287f0f529114f8c49 | In vivo distribution of Cy5-labeled Dex/CA-Oxi-αCD NPs and Cy5-labeled Dex/FA-CA-Oxi-αCD NPs in EAP model mice. (A) In vivo fluorescence images of saline (I), free Cy5 (II), Cy5-labeled Dex/CA-Oxi-αCD NPs (III) and Cy5-labeled Dex/FA-CA-Oxi-αCD NPs (IV) in EAP model mice at different time points after intravenous injection (the region in the yellow circle indicates the lower urinary tract and part of the reproductive system). (B-C) Ex vivo fluorescence images of the excised major organs and prostates at 24 h (B) and 48 h (C) postinjection: heart, liver, spleen, lung, kidney, prostate and blood. (D) ROI analysis of the fluorescence intensity in the lower urinary tract and part of the reproductive system was performed at different time points after intravenous injection. (E) ROI analysis of the fluorescence intensity of the excised prostates at 24 and 48 h. (F) Semiquantitative analysis of the CLSM images of prostate tissues treated with Cy5 or Cy5-labeled NPs for 24 and 48 h. ∗∗, significantly different at p < 0.01; ∗∗∗, significantly different at p < 0.001; ∗∗∗∗, significantly different at p < 0.0001 | PMC10283268 | 12951_2023_1893_Fig4_HTML.jpg |
0.467461 | d49e111bf7424edc9666218681bb7cf9 | (A) Schematic diagram of the EAP mouse modeling and treatment processes. (B) Body weights of the mice. (C) Graphical depiction of von Frey filament testing to determine pelvic pain. (D) The pelvic pain of the mice was measured with von Frey filaments on the 3rd day after the last injection. (E) Inflammation scores of the prostate tissues after treatment. The mouse prostate consists of the ventral prostate (VP), dorsal and lateral prostate (DLP), and anterior or coagulating gland (CG) lobes. (F) The IL-1β, IL-17 A and TNF-α levels in the serum of mice after treatment determined with ELISA kits. (G) Western blot analysis of IL-1β, IL-17 A and TNF-α expression in the prostate tissues from EAP mice that had been subjected to various treatments. β-Actin was used as a loading control. (H) Quantitative analysis of the data presented in Fig. 5G. ∗, Significantly different at p < 0.05; ∗∗, significantly different at p < 0.01; ∗∗∗, significantly different at p < 0.001; ∗∗∗∗, significantly different at p < 0.001 | PMC10283268 | 12951_2023_1893_Fig5_HTML.jpg |
0.45795 | 52f3c89060424a0ab149665a6101100c | H&E-stained sections of prostate tissues (ventral prostate (VP), dorsal and lateral prostate (DLP), coagulating gland (CG)) from normal and EAP mice treated with saline, blank NPs, free Dex, Dex/CA-Oxi-αCD NPs and Dex/FA-CA-Oxi-αCD NPs. The blue arrow indicates inflammatory cell infiltration. Scale bar represents 50 μm | PMC10283268 | 12951_2023_1893_Fig6_HTML.jpg |
0.445894 | 571f17e0a38b43498ba1c7fceb4a2d69 | (A) Immunohistochemistry of the 5-HT1A receptor and SERT in the mouse hippocampus and GFAP in the L5-S1 segment of the spinal cord. (B-D) Semiquantitative absorbance values of the 5-HT1A receptor (B), SERT (C) and GFAP (D). Scale bar represents 200 μm. ∗, Significantly different at p < 0.05; ∗∗, significantly different at p < 0.01; ∗∗∗∗, significantly different at p < 0.001 | PMC10283268 | 12951_2023_1893_Fig7_HTML.jpg |
0.410638 | e4017f89282b4466a525b3014275079d | Survey responses for selection of irrigation pressure when using pressurized saline (blue) or automated irrigation systems (orange). | PMC10285609 | 10.1177_17562872231179009-fig1.jpg |
0.436602 | cdd45797bcd2425a986020f06069fd3d | Bootstrapped neighbor-joining amino acid sequence phylogeny of nod sequences obtained in this study, along with selected nod reference sequences, quinol-nitric oxide reductase (qNor), and cytochrome-nitric oxide reductase (cNor) sequences. Nod clones generated in this study are shown in color by their sample location (green, agricultural soil; orange, agricultural soil core; blue, freshwater sediments), and selected reference sequences are shown in black. Our phylogenetic tree illustrates nine clusters designated as follows: aquifer, wastewater treatment plant (WWTP), HdN1, NC10, reactor, qNor-related, qNor, cNor, and one previously unidentified soil cluster (Agricultural). GenBank accession numbers for reference sequences are shown in parentheses, while numbers in parentheses after colored nod sequences indicate the number of sequences in a collapsed group. Bootstrap support (500 replicates) greater than 50% is indicated at the nodes. The scale bar represents 20% amino acid sequence divergence. | PMC10286720 | msphere.00571-22-f001.jpg |
0.383584 | fce1cdc4ef5b47a19944c8b5a0a5daa2 | Abridged multiple alignment around the expected quinol-binding and catalytic sites of selected qNor and qNor-related amino acid sequences with selected inferred nod amino acid sequences obtained in this study. Conserved quinol-binding and catalytic site residues found in qNor sequences are highlighted in red, whereas substitutions to those conserved residues in putative nod sequences are shown in green. The alignment was created in MEGAX with ClustalW using default parameters (31, 32). The unabridged multiple alignment can be found in Fig. S1. | PMC10286720 | msphere.00571-22-f002.jpg |
0.458635 | c9e13bb7a3c44c33bad102a367ca15b5 | (a) Depth profile for 16S rRNA and nod gene copies per g soil, as determined by qPCR, for the farm grass waterway soil column. (b) Depth profile of relative 16S rRNA gene abundances for the phylum Methylomirabilota and the order Methylomirabilales, as determined by 16S rRNA gene sequencing, for the Farm grass waterway soil column. The approximate depth at which soil moisture conditions transition from variably saturated to fully saturated is indicated with a dashed line. | PMC10286720 | msphere.00571-22-f003.jpg |
0.442965 | d2236526d0d64508a0322e587831af0a | HPLC measurements of TPA+MHET products. A) TPA+MHET (mM) in different conditions estimated to 24 h. B) TPA+MHET (mM) accumulation up to 6‐days incubation period. Data are estimated per gram of PET, using 2 mg enzyme/g PET and expressed as mean±SEM. Calculated from a standard curve (Figure S1). | PMC10286761 | CBIC-24-0-g001.jpg |
0.443303 | 026c89e7394d4c068c0325f88ed8447a | (A) Scheme of the different PET hydrolysis pathways catalyzed by PETase. (B) Schematic diagram of experimental design comparing PETase catalytic efficiency with or without alkaline pre‐treatment of the PET substrate. | PMC10286761 | CBIC-24-0-g003.jpg |
0.504053 | 7c0273f41f5247be99e1ac31f800c953 | Differential scanning calorimetry (DSC) for crystallinity evaluation of (A) Untreated PET bottle and (B) PET bottle pre‐treated with NaOH. Arrows indicate the variation of the temperature to show the heating or cooling curves. | PMC10286761 | CBIC-24-0-g004.jpg |
0.455305 | 78fb98cf59644a6e85c852a254663727 | SEM measures of post‐consumer PET water bottle surface. (A) PET bottle untreated. (B) PET bottle pretreated with 10 M NaOH. (C) Untreated PET bottle incubated with PETase. (D) PET bottle pretreated with alkali followed by PETase incubation. Scale bar: A‐D and insets 1 μm. | PMC10286761 | CBIC-24-0-g005.jpg |
0.448775 | 02d41a1d19ae41749ea4c4e91d380f51 | Microbiota differences of early S. aureus VAP vs non-VAP patients during the first 3 days of intubation assessed by Principal coordinates analysis (PCoA). PCoA was based on the Bray–Curtis dissimilarity matrix of square-root transformed relative abundances of bacterial species. Bacterial communities defined by the sampling day and VAP occurrence were grouped to centroids. For this analysis of centroids, patient 1 was considered “non-VAP” as the VAP occurred on day 7 (late VAP). Difference was not significant on day 1 (PERMANOVA p > 0.05). D = day post-intubation | PMC10287595 | 40635_2023_521_Fig1_HTML.jpg |
0.455239 | 8a9f1f19e9284c5aac6d06351786a6dd | A theory of change of mechanisation. | PMC10288359 | CL2-19-e1334-g001.jpg |
0.511832 | defb1ae219494ecc826e299143efb21a | Impact of mechanisation on women. | PMC10288359 | CL2-19-e1334-g002.jpg |
0.436322 | f0bf0ec2788e44e6b942cd445950343c | VD3-liposome-treated DCs induce functional Tregs. Allogeneic naïve CD4+ T cells were cocultured with MF+LPS-activated DCs, or DCs activated with MF+LPS and soluble VD3 or VD3-loaded liposomes for 6 days and subsequently used as T cells in coculture with CFSE-labeled CD4+ T memory cells. After 6 days of coculture, proliferation of CD4+ T memory cells was measured with flow cytometry. (A) Example gating of CD4+ T memory proliferation after coculture with MF+LPS and liposome DC-primed or MF+LPS and VD3-liposome DC-primed T cells (from left to right). (B) CD4+ bystander T memory proliferation normalized to the proliferation induced by MF+LPS and empty DSPG and DPTAP liposome DC-primed T cells, which was set to 100%. Lipid concentrations of empty DSPG batches ranged from 1-2.6 μg/ml, 10-26 μg/ml, 50-260 μg/ml, and of empty DPTAP batches 0.5-1 μg/ml, 2.5-15 μg/ml, 14-40 μg/ml, adjusted to the lipid concentration added when using 0.01, 0.1 or 1 μM liposome-incorporated VD3, respectively. N=5-12 independent experiments. Mean ± SD of proliferation in the control condition was 36% ± 12.4%. Error bars indicate mean ± SEM. *p≤ 0.05. ***p≤ 0.001. ****p≤ 0.0001. Statistical significance was calculated using a mixed-effects model of One-way ANOVA, with Dunnett’s correction for multiple comparisons. | PMC10288978 | fimmu-14-1137538-g001.jpg |
0.471624 | cf086d5520d6428faf55891455536c7e | VD3-liposome treated DCs prime for the development of FoxP3+ CD127- CD4+ T cells and IL-10-producing CD4+ T cells. Allogeneic naïve CD4+ T cells were cocultured with MF+LPS activated, VD3 or VD3-liposome primed moDCs for 10-12 days, and frequencies of FoxP3+ CD25+ CD127low cells were measured by FACS. For IL-10 measurement with ELISA, CD4+ T cells were re-stimulated with aCD3, aCD28. (A) FoxP3+ CD127low T cells were gated from the single-cell gate. Example dot plots of gating FoxP3+ CD127low T cells and frequencies in example conditions are shown. (B) Frequency of FoxP3+ CD127low T cells after stimulation with differently primed moDCs. N=6-23 independent experiments. (C) IL-10 production by cocultured T cells after overnight stimulation with aCD3, aCD28 normalized to MF+LPS DC condition, which was set to 1. Lipid concentration of empty DSPG batches shown ranges from 50-260 μg/ml and of empty DPTAP batches 14-86 μg/ml, adjusted to the lipid concentration added when using 1-2.5 μM liposome-incorporated VD3. Mean ± SD of LPS-stimulated IL-10 production in the control condition was 289 pg/ml ± 333 pg/ml. N=11-19 independent experiments. Error bars indicate mean ± SEM. *p≤ 0.05. ****p≤ 0.0001. Statistical significance was calculated using a mixed-effects model of One-way ANOVA, with Dunnett’s correction for multiple comparisons. | PMC10288978 | fimmu-14-1137538-g002.jpg |
0.398637 | c1a664e5df254969896bf693f811e8fa | Phenotypic analysis of Tregs induced by VD3-liposome treated DCs. After 10-12 days coculture with differently primed moDCs, CD4+ T cells were stained for Treg subset and functional markers. Arrows indicate which parent population the subpopulation of cells was derived from. (A) CD4+ T cells expressing CD49b, ICOS or PD-1 were gated from the single cell gate. PD-1 and FoxP3+ coexpressing cells were gated, as shown in the right panel. (B) CD4+ T cells expressing CD39, CD25, CTLA-4, or ICOS were also derived from the single-cell gate. FoxP3+ cells were further examined for CD39 coexpression and CD127 expression. CTLA-4+ cells were gated together with ICOS, and FoxP3+ cells were determined within the double-+ population. (C) Example gating for assessing expression of TIGIT, TIM-3, CD39, CD69, CTLA-4, PD-1 and ICOS within the FoxP3+ CD127low CD25+ population of CD4+ T cells. CTLA-4 ICOS coexpressing cells within this population were identified as iTregs and further examined for CD39 expression. (D) After gating CD69+ cells from single CD4+ T cells, CD69 expression against FoxP3 expression was assessed with a quadrant gate, and CTLA-4 ICOS coexpression determined within both CD69- (Q5) and CD69+ (Q6) FoxP3+ cells. (E) TIGIT and TIM-3 expressing cells were gated from the single cell population of CD4+ T cells and assessed for FoxP3 expression as shown. (F) Heatmap representing frequency of indicated T cell populations per DC-activation condition is shown. | PMC10288978 | fimmu-14-1137538-g003.jpg |
0.396165 | eb4cd9ccc78942218b756104e4e58d97 | VD3-liposome-treated DCs induce Tregs with a distinct phenotype. (A) Frequency of TIGIT+ or (B) TIM-3+ cells within the FoxP3+ CD127- CD25+ population of T cells. (C) Frequencies of CD39+ cells within FoxP3+ CD127- CD25+ cells. (D) Frequencies of CD69+ cells within FoxP3+ CD127- CD25+ cells. (E) Frequencies of ICOS+ cells within the CD69- FoxP3+ cell population.(F) Frequencies of CTLA-4+ cells within the CD69+ FoxP3+ population. (G) Frequencies of CTLA-4+ ICOS+ cells within CD69+ FoxP3+ T cells. (H) Frequencies of CD69- FoxP3+ T cells. (I) Frequencies of CD69+ FoxP3+ T cells. Lipid concentration of empty DSPG batches shown ranges from 50-260 μg/ml and of empty DPTAP batches 14-86 μg/ml, adjusted to the lipid concentration added when using 1-2.5 μM liposome-incorporated VD3. N=5-11 independent experiments. Error bars indicate mean ± SEM. *p≤ 0.05. **p≤ 0.01. ***p≤ 0.001. ****p≤ 0.0001. Statistical significance was calculated using a mixed-effects model of One-way ANOVA, with Dunnett’s correction for multiple comparisons. | PMC10288978 | fimmu-14-1137538-g004.jpg |
0.413979 | c6cc7fd97b4f49e7b936e75a6a7914ac | VD3-liposome-treated DCs reduce Th1 and Th17 polarization. (A) Example dot plots of gating IFN-γ+ and IL-13+ CD4+ T cells from the single-cell population in MF+LPS DC or VD3-stimulated DC conditions. Allogeneic naïve CD4+ T cells were cocultured with MF+LPS activated, VD3 or VD3-liposome primed moDCs for 10-12 days and stained for IFN-γ+ and IL-13+ after 5-hour stimulation with PMA+Ionomycin. (B) Fold-induction of IL-13+ and IFN- γ+ CD4+ T cells in different moDC-priming conditions. Lipid concentration of empty DSPG batches shown ranges from 50-260 μg/ml and of empty DPTAP batches 14-86 μg/ml, adjusted to the lipid concentration added when using 1-2.5 μM liposome-incorporated VD3. Mean ± SD of IFN-γ+ T cells stimulated by MF+LPS DCs was 22.5 % ± 8.9 %, while of IL-13+ T cells, 10.68 % ± 7.34 %. N= 6-23 independent experiments. Error bars indicate mean ± SEM. *p≤ 0.05. **p≤ 0.01. ****p≤ 0.0001. Statistical significance was calculated using a mixed-effects model of One-way ANOVA, with Dunnett’s correction for multiple comparisons. (C) Example gating of IL-17 and IFN-γ expressing CD4+ T cells in different priming conditions. (D) Frequencies of IL-17+ CD4+ T cells after autologous coculture with neutrophils and differently primed moDCs. Soluble and liposome-incorporated VD3 concentration was 2.5 μM. N=7 independent experiments. Error bars indicate mean ± SEM. *p≤ 0.05. **p≤ 0.01. Statistical significance was calculated using Friedman test with Dunn’s correction for multiple comparisons. | PMC10288978 | fimmu-14-1137538-g005.jpg |
0.447911 | 335af3d73b864c7b8140c865256eb61a | VD3-liposome treatment induces expression of ILT3 and reduces expression of CD83 on DCs. (A) Gating strategy and heatmap representing frequency of marker+ populations. All marker+ populations were derived from the single-cell gate. (B) Frequencies of ILT3 expressing DCs per condition. (C) Frequencies of CD83 expressing DCs per condition. Lipid concentration of empty DSPG batches shown ranges from 50-260 μg/ml and of empty DPTAP batches 14-86 μg/ml, adjusted to the lipid concentration added when using 1-2.5 μM liposome-incorporated VD3. N=5 independent experiments. Error bars indicate mean ± SEM. *p≤ 0.05. Statistical significance was calculated using one-way ANOVA with Dunnett’s correction for multiple comparisons. | PMC10288978 | fimmu-14-1137538-g006.jpg |
0.426779 | 6517cc2085024cec87ca7e103a090a86 | Injection of VD3-loaded DSPG or DPTAP liposomes enhances migration of CD14+ DDCs from human skin ex vivo. (A) Gating example for skin DCs (CD11c+ HLA-DR+ crawl-out DCs) and identification of subsets based on CD1a and CD14 staining. (B) Counts of CD11c+ HLA-DR+ Crawl-out DCs. (C) Percentages (top panel) and counts (bottom panel) of CD14a+ DDCs, (D) CD1a+ DCs, and (E) CD1a++ LCs present in crawl-out DCs, per injection condition.Soluble and liposomal VD3 concentration injected was 25 μM. Lipid concentration of empty DSPG batches ranged from 1000-2600 μg/ml and of empty DPTAP batches 860-2500 μg/ml, adjusted to the lipid concentration added when using 25 μM liposome-incorporated VD3. N=8-9 independent experiments. Error bars indicate mean ± SEM. *p≤ 0.05. **p≤ 0.01. ***p≤ 0.001. ****p≤ 0.0001. Statistical significance was calculated using mixed-effects analysis with Dunnett’s correction for multiple comparisons. | PMC10288978 | fimmu-14-1137538-g007.jpg |
0.467803 | d01fcda3343a4e2f80db1370e1ba8caa | PRISMA flowchart with the different studies (MeBI: Meditation-Based Intervention).Note: Adapted from Moher et al. (2009). | PMC10289041 | pb-63-1-1182-g1.jpg |
0.408221 | 6cfd4c8c1c7c41378837b63782792245 | Cochrane Risk of bias assessment. The graph presents ratings for all 34 studies included in the systematic review. | PMC10289041 | pb-63-1-1182-g2.jpg |
0.379865 | 8d22f71c1f714507a91a7d7c30d92075 | Forest plot of the standardized mean differences of all studies (negative values correspond to evidence in favor of the control group and positive values represent evidence in favor of the MeBI group, CI: Confidence Interval, RE: random-effects). | PMC10289041 | pb-63-1-1182-g3.jpg |
0.422094 | cdc325e67563418288e0efd374c8d47d | (A) Chickpea genotypes (C. arietinumPBG5 and C. pinnatifidum188) kept in growth chambers (inoculated and control). (B) Cut twigs of C. pinnatifidum188. | PMC10289086 | peerj-11-15560-g001.jpg |
0.486015 | 81676dfbf50a411a99b73ad66f07454f | Representation of overall methodology used in the study. | PMC10289086 | peerj-11-15560-g002.jpg |
0.416112 | e53c3aa192804882885fdf4dc44c6425 | Visual symptoms of BGM infection on C. arietinumPBG5 (A, control; B, greyish colony on the twig; C, water soaked lesions; D, infected shoots without pods) and C. pinnatifidum188 (E–H) with no disease symptoms at 1st, 3rd, 5th, & 7th d. | PMC10289086 | peerj-11-15560-g003.jpg |
0.440744 | 6a39b26b49424cc3b07f5d36f553541e | (A) Superoxide dismutase, (B) catalase, and (C) ascorbate peroxidase activities in leaves of chickpea genotype C. arietinumPBG5 (susceptible) and C. pinnatifidum188 (resistant) uninoculated and inoculated with B. cinerea.Data represent the mean of replications with SD as error bars. Different lowercase letters indicate significant differences among genotypes at different dpi according to Tukey’s test (P ≤ 0.05). | PMC10289086 | peerj-11-15560-g004.jpg |
0.418163 | 2df3de587f9d4e54ad97a963c106d3da | (A) Peroxidase, (B) polyphenol oxidase, and (C) phenylalanine ammonia-lyase activities in leaves of chickpea genotype PBG5 (susceptible) and C. pinnatifidum (resistant) uninoculated and inoculated with B. cinerea.Data represent the mean of replications with SD as error bars. Different lowercase letters indicate the significant differences among genotypes at different dpi according to Tukey’s test (P ≤ 0.05). | PMC10289086 | peerj-11-15560-g005.jpg |
0.387436 | 6056178be19843cabc007541068cbb42 | (A) H2O2, (B) proline, (C) ascorbic acid and (D) glutathione content in leaves of chickpea genotype C. arietinumPBG5 (susceptible) and C. pinnatifidum188 (resistant) uninoculated and inoculated with B. cinerea.Data represent the mean of replications with SD as error bars. Different letters indicate the significant differences among genotypes at different dpi according to Tukey’s test (P ≤ 0.05). | PMC10289086 | peerj-11-15560-g006.jpg |
0.446694 | bc02ed9c1df0434c84cfa2a20ab4306d | (A) Total phenol and (B) MDA content in leaves of chickpea genotype C. arietinumPBG5 (susceptible) and C. pinnatifidum188 (resistant) uninoculated and inoculated with B. cinerea.Data represent the mean of replications with SD as error bars. Different lowercase letters indicate significant differences among genotypes at different dpi according to Tukey’s test (P ≤ 0.05). | PMC10289086 | peerj-11-15560-g007.jpg |
0.458272 | 278042996e9e4f10be5276ab6606d01f | Activity staining of different antioxidant enzymes following native PAGE of leaf extracts of susceptible and resistant chickpea genotypes. (A) Catalase. (B) Superoxide dismutase. (C) Guaiacol peroxidase. (D) Polyphenol peroxidase. 1–10—represent no. of wells, arrows indicate—no. of bands, 1—C. arietinumPBG5 control, 2—C. pinnatifidum188 control, 3—C. arietinumPBG5 (day 1), 4—C. pinnatifidum188 (day 1), 5—C. arietinumPBG5 (day 3), 6—C. pinnatifidum188 (day 3), 7—C. arietinumPBG5 (day 5), 8—C. pinnatifidum188 (day 5), 9—C. arietinumPBG5 (day 7), 10—C. pinnatifidum188 (day 7). | PMC10289086 | peerj-11-15560-g008.jpg |
0.405005 | cf310324c7894f56b95d7e4ac3f20d7b | SEM analysis of uninoculated and B. cinerea inoculated leaf samples of susceptible and resistant chickpea genotypes: (A) control C. arietinumPBG5, (F) control C. pinnatifidum188) showing variation in no. of stomata, (B) fungal growth seen in C. arietinumPBG5, (G) fungal granules seen in C. pinnatifidum188) at day 1, (C) irregular and rough hyphal network in C. arietinumPBG5, H-uniform and smooth hyphal network in C. pinnatifidum188) at day 3, (D) more cell surface topographical disintegration in C. arietinumPBG5, (I) less topographical disintegration in C. pinnatifidum188) at day 5, (E & J) full hyphal network developed in C. arietinumPBG5 & C. pinnatifidum188) at day 7. | PMC10289086 | peerj-11-15560-g009.jpg |
0.530618 | 5844d973271547529440cb52534e7072 | Fourier transform infrared spectroscopy analysis: (A & B) uninoculated and inoculated C. arietinumPBG5 and (C & D) uninoculated and inoculated C. pinnatifidum188 leaf samples. | PMC10289086 | peerj-11-15560-g010.jpg |
0.426642 | f680454cc1694b4eb804fda64d0eef71 | Distributions of age (top-left), interest in painting arts (top-right), nationality (bottom-left) and education level (bottom-right) of the subjects. | PMC10289447 | pone.0287513.g001.jpg |
0.568116 | 0acd70544a6a423b95f4d38697014b19 | Example of a raw EEG signal of a single subject, from a single electrode; the first highlighted area corresponds to the blank portion of the observation, while the others correspond, each, to the observation of different paintings (here, only two paintings are shown in the picture). | PMC10289447 | pone.0287513.g002.jpg |
0.452242 | 5a93488c09f6474193be1c540b7e6996 | From top to bottom, the intensity of voltage at the band δ, θ, α, β (specifically, the interval of β included in F6), and γ bands (specifically, the interval of γ included in F11) during the trial of example in Fig 2, after preprocessing. All graphics are log10-normalized. As before, the first highlighted area corresponds to the blank portion of the observation, while the others correspond, each, to the observation of different paintings (again, only two paintings are shown in the picture). | PMC10289447 | pone.0287513.g003.jpg |
0.477851 | 82ee7cbcb6f34dcbaf406df009b7af4d | Distribution of liking scores. | PMC10289447 | pone.0287513.g004.jpg |
0.440898 | 34b9f880befb4b2cbde33c4c175180b2 | Selected electrodes and measures for the dataset D25 corresponding to the 25-25 binning.On the right-hand side, their spatial distribution (from dark to light: best one, best five, best ten), and on the left-hand side, top, their ordering. On the left-hand side, also, ordering of the best measures with the different selections (from line 2 to bottom: with the best ten measures, the best five, and with the best electrode only.) | PMC10289447 | pone.0287513.g005.jpg |
0.441255 | 0f82358fa0e74859afbe49e88401c77a | Selected electrodes and measures for the dataset D34 corresponding to the 17-34 binning.On the right-hand side, their spatial distribution (from dark to light: best one, best five, best ten), and on the left-hand side, top, their ordering. On the left-hand side, also, ordering of the best measures with the different selections (from line 2 to bottom: with the best ten measures, the best five, and with the best electrode only.) | PMC10289447 | pone.0287513.g006.jpg |
0.450438 | 304f0d3550464e608fbab659b37663d4 | Selected electrodes and measures for the dataset D41 corresponding to the 10-41 binning.On the right-hand side, their spatial distribution (from dark to light: best one, best five, best ten), and on the left-hand side, top, their ordering. On the left-hand side, also, ordering of the best measures with the different selections (from line 2 to bottom: with the best ten measures, the best five, and with the best electrode only.) | PMC10289447 | pone.0287513.g007.jpg |
0.421907 | 4a71da5ff866474a89b552252cd5ed07 | Allen’s interval relations and their notation in temporal decision trees. | PMC10289447 | pone.0287513.g008.jpg |
0.571722 | ee4fede19d4743b59b89f2ab35b7094d | A temporal decision tree from the model extracted with the best 5 measures. | PMC10289447 | pone.0287513.g009.jpg |
0.590565 | 6e5629bf8ec74f39b3106ca731e727eb | A temporal decision tree from the model extracted with the single best measure. | PMC10289447 | pone.0287513.g010.jpg |
0.417074 | 126e3551ebec4f3d9c2445f33a37bb1d | Intraoperative complications. | PMC10289568 | ms9-85-2749-g001.jpg |
0.469289 | 28ffff28ece440e0bbcf2c322be24be6 | Intraoperative bleeding source. | PMC10289568 | ms9-85-2749-g002.jpg |
0.417603 | 6cb99f9c2310432896d18befc6375321 | CT image of the patient before surgery. CT, computed tomography. | PMC10289794 | ms9-85-3187-g001.jpg |
0.435101 | 018dacfa00304ce99428d701d7312bcd | CT scan image of the patient after cranioplasty. CT, computed tomography. | PMC10289794 | ms9-85-3187-g002.jpg |
0.427621 | d61a53e3912144498694416305c94676 | CT image after cranial decompression surgery. CT, computed tomography. | PMC10289794 | ms9-85-3187-g003.jpg |
0.396605 | aba90ad71b834ddbb593acb15a6691fa | CT images before cranial decompression surgery. CT, computed tomography. | PMC10289794 | ms9-85-3187-g004.jpg |
0.424409 | 632b1c2915de4b60927c174edc0a3b89 | CT image before crainoplasty. CT, computed tomography. | PMC10289794 | ms9-85-3187-g005.jpg |
0.439175 | 7a75793b413149d6b7f2d62d680fabfa | CT scan image of the patient after cranioplasty. CT, computed tomography. | PMC10289794 | ms9-85-3187-g006.jpg |
0.427582 | 38c1a54a7bf04a128fb9fb5546e61a23 | CT scan image of the patient before cranioplasty. CT, computed tomography. | PMC10289794 | ms9-85-3187-g007.jpg |
0.468541 | 052b177b6fcf4018896042cd50ee7a8d | Brain oedema image after surgery. | PMC10289794 | ms9-85-3187-g008.jpg |
0.442605 | 96797e352dab494abe2ed3d43785f838 | CT scan image of the patient before cranioplasty. CT, computed tomography. | PMC10289794 | ms9-85-3187-g009.jpg |
0.426794 | 75976951b5c74df6a270dd727956022b | Brain oedema image after surgery. | PMC10289794 | ms9-85-3187-g010.jpg |
0.380449 | 88b4247281a2440d98558536552bc369 | Study flow diagram of selection of eligible subjects. Abbreviations: CMR, cardiac magnetic resonance; PPCI, primary percutaneous coronary intervention; STEMI, ST-elevation myocardial infarction | PMC10289996 | 330_2023_9406_Fig1_HTML.jpg |
0.41846 | af6d3561ce664ea98ce04553715581fb | Change in left ventricular structure and function by age at follow-up. Abbreviations: GCS, Global circumferential strain; GLS, Global longitudinal strain; GRS, Global radial strain; LVEDVi, Left ventricular end-diastolic volume index; LVEF, Left ventricular ejection, fraction; LVESVi, Left ventricular end-systolic volume index. Differences between groups were tested with analysis of covariance (ANCOVA) | PMC10289996 | 330_2023_9406_Fig2_HTML.jpg |
0.427599 | 2ffa652dfbaf453295b2ae26e66c771a | Representative CMR images of young and old patients with typical changes of LVESVi and LVEDVi. Short-axis cine CMR obtained 5 ± 2 days (baseline) and 3 months (follow-up) after STEMI show the course of reverse and adverse remodeling according to age groups. Characteristically, both LVEDVi and LVESVi increased in this younger patient, indicating adverse remodeling and no reverse remodeling. In contrast, both LVEDVi and LVESVi decreased in this older patient, indicating reverse remodeling and no adverse remodeling. The exact size of volume has been shown at the bottom of each graph. Abbreviations: LVEDVi, Left ventricular end-diastolic volume index; LVESVi, left ventricular end-systolic volume index | PMC10289996 | 330_2023_9406_Fig3_HTML.jpg |
0.544535 | 2af42d8f652444a7b5197eceee336f62 | A, B Frequency of adverse remodeling and reverse remodeling in different age groups | PMC10289996 | 330_2023_9406_Fig4_HTML.jpg |
0.396302 | 34013e7172294cb38495e63ee54ee649 | Location of the study sites and sampling strategy. A. Geomorporhic distribution of the soil covered mantle of Lo Encañado Valley with drainage classes for each geomorphic unit. The floodplain is represented by 3 geomorphic units being a very poorly drained Fen, poorly drained Meadow and somewhat poorly drained Meadow. Hillslopes are represented by colluvial deposits facing south and north. Each position occupied in the landscape represents according to the USDA (2012) [16] a different drainage class which is referred to the frequency and duration of wet periods under conditions similar to those which the soil developed. Drainage class numbers go in a scale from number representing the less well drained (or most saturated soils) up to number 6 representing the excessively drained soils (LE01: poorly drained, LE02: somewhat poorly drained, LE03: somewhat excessively drained, LE04: well drained, LE05: very poorly drained). Arrows represent the position of the soil profiles at Lo Encañado. B. Vegetation present at each site with dominant species shown in each site as a colored box C. Soil profiles described and sampled at each site. Numbers (H1, H2...) represent a pedogenetic horizon, which are distinguishable among them as they express different morphological properties which are defined in the Field. As pedogenetic horizons are not fixed depth, a scale of 1m is shown for each profile. Violet dashed line with asterisk represents the limit between topsoil and subsoil according to soil bacterial community clustering | PMC10290380 | 40659_2023_445_Fig1_HTML.jpg |
0.382537 | 585a937028394f03ada5cfacef765079 | Soil bacterial community composition in five profiles along soil depth. The left vertical panel shows relative abundance of principal bacterial phyla, the middle panel shows Bray-Curtis dissimilarity analysis and the right vertical panel shows richness (Average numbers of OTUs) and diversity (Shannon index) along depths in the five soil profiles. The bottom and top of a box are the 25th and 75th quartiles, the horizontal line within a box is the median, and the ends of the whiskers are the limits of the distribution as inferred from the upper and lower quartiles. Dots are samples. *Asterisk indicate significance with Krustall-Wallis pairwise composition (topsoil-subsoil) (p<0.05) | PMC10290380 | 40659_2023_445_Fig2_HTML.jpg |
0.480767 | 1525f1cf23a94e9b80bc88ad20b68cbc | Co-occurrence networks. Complete bacterial co-occurrence networks of the TS (left panel) and SS samples (rigth panel). Interactions were inferred from bacterial ASVs abundances collapsed at the genus level. Each node represents a genus, and each edge represents a significant pairwise association between them (green lines: positive edges; red lines: negative edges). The different colors of nodes represent distinct phyla. Node sizes are proportional to the number of connections (degree) of each network (maximum node degree was 50 and 45 for TS and SS network respectively) | PMC10290380 | 40659_2023_445_Fig3_HTML.jpg |
0.376714 | 6f27d23fa3a24762ae841d6ce8a578ca | Differential abundance analysis. A. Differentially abundant microbial phylum identified by ANCOM. Volcano plot of differential abundance at the group level (topsoil and subsoil), clr are represented on the x-axis and W-statistics on the y-axis. The crl (center log ratio) is a measure of the effect size difference for a particular species between the study groups, and the W-statistic represents the number of times of the null-hypothesis (the average abundance of a given phylum in a group is equal to that in the other group) was rejected for a given phylum. p-values with good control of the Benjamini-Hochberg correction (FDR) at 5% type I error rate, are already embedded in the ANCOM test before the final significance based on the empirical distribution of a count random variable called W. B. Box plot comparing relative abundances between topsoil samples (violet) and subsoil samples (orange) of the phyla identified as differentially abundant. The bottom and top of a box are the 25th and 75th quartiles, the horizontal line within a box is the median, and the ends of the whiskers are the limits of the distribution as inferred from the upper and lower quartiles. Dots are samples. Note that significance of phyla among groups was tested using three approaches. First we performed an ANCOM test, followed by a metagenomeSeq analysis and after a more conservative univariate analysis using Mann-Whitney U test (p < 0.05). *Asterisk the phyla that were considered enriched were those that were significantly enriched in at least two of the three (Additional file 6: Table S6) | PMC10290380 | 40659_2023_445_Fig4_HTML.jpg |
0.477809 | 35c6c4142790440da783f5caf4c9681e | Cumulative methane uptake and carbon dioxide production.Cumulative methane uptake (A) and carbon dioxide production (B) in microcosms with and without isopods (mean ± s.d.; n = 6), and in the reference (mean ± s.d.; n = 4). Inset figures depict the culmulative methane uptake rate in (A), and cumulative carbon dioxide production rate in (B). The letters indicate the level of significance between treatments at p < 0.01. | PMC10290665 | 43705_2023_271_Fig1_HTML.jpg |
0.52586 | 43442bd5d6fb48d097defa3d48a25577 | The abundance of the bacterial and fungal communities.The abundances of the pmoA, 16 S rRNA, and ITS genes at the start (t0), and end of the incubation (44 days) with and without P. scaber, and in the reference. Duplicate qPCR reactions were performed per replicate (n = 4 or 6), gene, and time. The letters indicate significant differences (p < 0.01) between treatments independently for the pmoA, 16 S rRNA, and ITS genes after the incubation. | PMC10290665 | 43705_2023_271_Fig2_HTML.jpg |
0.401337 | dfa0ef32367b458d847dcf81b6e12ec6 | Response of the microbial community to the abiotic environment.RDA showing the response of the metabolically active (i.e., 13C-DNA-derived) bacterial (A) and fungal (B) community composition to the environmental parameters (cumulative methane uptake and carbon dioxide production rates, pH, ammonium, nitrate, nitrite, as well as the ITS, 16 S rRNA and pmoA gene abundances) in the different treatments (reference, with and without P. scaber). The asterisk indicates the level of significance (p < 0.01) of the environmental parameters. | PMC10290665 | 43705_2023_271_Fig3_HTML.jpg |
0.417448 | 6dc9bb1d49f64efebe7c96267d5d7cfb | Co-occurrence network analysis of the metabolically active microbial community.Co-occurrence network analysis derived from the metabolically active bacterial and fungal communities in the microcosms with (A) and without (B) P. scaber. The topological properties of the networks are given in Table 1. Each node indicates a bacterial (green) or fungal (purple) taxon at the OTU level. The SparCC correlations were based on a magnitude of >0.7 (positive correlation) or <− 0.7 (negative correlation), and is statistically significant (P < 0.01). The size of the nodes is proportional to the number of connections (degree), and the top key nodes (i.e., nodes with the highest betweenness centrality) for bacteria and fungus are numbered, with the betweenness centrality values given in Table 2. The bacterial key nodes, given to the finest taxonomic resolution where available, are: (1) Bryobacter; (2) Ochrobactrum; (3) Gemmatimonas; (4) Micropepsaeae; (5) Nocardioides; (6) Devosia; (7) Dyadobacter; (8) Streptomyces; (9) Conexibacter; (10) Azospirillum; (11) Methylocystis; (12) Sphingomonas; (13) Thermomicrobiales; (14) Gemmatimonadaceae; (15) Gaiellales. The fungal key nodes, given to the finest taxonomic resolution where available, are: (1) Cladorrhinum; (2) Uncultured fungi; (3) Ceratobasidiaceae; (4) Thermomyces; (5) Talaromyces; (6) Apiotrichum; (7) Lophotrichus; (8) Zopfiella; (9) Ciliophora; (10) Aspergillus; (11) Chaetomiaceae; (12) Malasseziaceae. Nodes representing methanotrophs are emboldened. | PMC10290665 | 43705_2023_271_Fig4_HTML.jpg |
0.392747 | 2d906cc66e30413f8cfd682262b788dc | SEM analysis of SPI (A), PE (B) and SPI-Cur-PE nanocomplexes (C). | PMC10290990 | gr1.jpg |
0.401761 | f5a92219de214d29aa0d758a582f3450 | Characterization of the nanocomplexes. | PMC10290990 | gr2.jpg |
0.399354 | 708ac5949c96481eb495779dd217e9bc | Stability of SPI-Cur-PE nanocomplexes. | PMC10290990 | gr3.jpg |
0.430186 | e158c63974f54a91880bc0774ba05c48 | In vitro release and simulated gastrointestinal release. | PMC10290990 | gr4.jpg |
0.445164 | 616be89aa23445848e315d97f593b0c8 | Antioxidant activity of nanocomplexes in vitro. | PMC10290990 | gr5.jpg |
0.446459 | 9613ae1a8dea457682ef18b8d3dfd529 | Control profile for management strategy (\documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$${\mathrm{u}}_{2}(\mathrm{t}))$$\end{document}u2(t)) and its effects on the COVID-19 dynamics in metropolitan health districts (left hand side) and rural health districts (right hand side). | PMC10293262 | 41598_2023_37240_Fig10a_HTML.jpg |
0.446786 | 5ce05867cae94c6eb32c56985016ca98 | Control profile for preventive (\documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$${\mathrm{u}}_{1}(\mathrm{t}))$$\end{document}u1(t)) and management (\documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$${\mathrm{u}}_{2}(\mathrm{t}))$$\end{document}u2(t)) strategies and its effects on the COVID-19 dynamics in metropolitan health districts (left hand side) and rural health districts (right hand side). | PMC10293262 | 41598_2023_37240_Fig11a_HTML.jpg |
0.429683 | 047681c79d974ef1acdb024faeda3614 | The map displays the locations and distributions of metropolitan and rural health districts in NSW Australia.(Source: https://www.health.nsw.gov.au/lhd/Documents/lhd-wall-map.pdf). | PMC10293262 | 41598_2023_37240_Fig1_HTML.jpg |
0.441803 | a16890126fe6421d9d9e3bbc85b09296 | COVID-19 case counts and incidence rates (per one million population) in NSW metropolitan and rural areas (red bars indicate rural cases and blue bars indicate metropolitan cases) (Data source: https://www.health.nsw.gov.au/lhd/Pages/default.aspx). | PMC10293262 | 41598_2023_37240_Fig2_HTML.jpg |
0.41645 | d5b9668ca35349ed8ee39b0335bcb77e | The SEIR-X (SEMCNHRD) model structure: the population is divided into the following eight classes: susceptible, exposed (and not yet symptomatic), infectious (symptomatic) i.e. mild (mild or moderate symptom) and critical (severe symptom), death and recovered (i.e. isolation, recovered, or otherwise non-infectious). | PMC10293262 | 41598_2023_37240_Fig3_HTML.jpg |
0.44191 | 1d2c4fa2163d4d94bd354d181e7b5a4a | Cumulative confirmed COVID-19 cases data from January 01, 2022 to February 10, 2022 (red dash) and the corresponding model best fit (blue solid curve) in NSW. | PMC10293262 | 41598_2023_37240_Fig4_HTML.jpg |
0.480905 | 11689658f45c4b44992507cd7e779b66 | Correlation between Mild cases and the corresponding parameters of the model. | PMC10293262 | 41598_2023_37240_Fig5_HTML.jpg |
0.466909 | 81ccf68b97c746549a21741c08fc6ba5 | Correlation between Critical cases and the corresponding parameters of the model. | PMC10293262 | 41598_2023_37240_Fig6_HTML.jpg |
0.490212 | 7bc6919c09114b54936b9187a0e91db0 | COVID-19 model sensitivities to its associated parameters of the model. | PMC10293262 | 41598_2023_37240_Fig7_HTML.jpg |
0.428695 | 5bf467e984e94a8da9199cdfbc6f2676 | Contour plots of the basic reproduction number \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$${\mathrm{R}}_{0}$$\end{document}R0 with various values of other parameters. | PMC10293262 | 41598_2023_37240_Fig8_HTML.jpg |
0.455597 | b42c3b74684644848aef192c9a7cadf4 | Control profile for preventive strategy (\documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$${\mathrm{u}}_{1}(\mathrm{t}))$$\end{document}u1(t)) and its effects on the COVID-19 dynamics in metropolitan health districts (left hand side) and rural health districts (right hand side). | PMC10293262 | 41598_2023_37240_Fig9a_HTML.jpg |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.