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0.433 | f24fc10d48a04273869f7be6c619e183 | Level 2 LULC type map and proportional chord chart of level1 LULC type transformation in the UANSTM. | PMC9957405 | ijerph-20-02844-g003.jpg |
0.422547 | 35d9ce24602144c1ae63ec3cee987779 | Spatial distribution and statistics of HI per 5 years. | PMC9957405 | ijerph-20-02844-g004.jpg |
0.446512 | f2b87e8c24a64a3b94fccd558307737a | Spatial distribution of RSEIs from 2000–2020. | PMC9957405 | ijerph-20-02844-g005.jpg |
0.410527 | 2173a2384e614051ba7fb477cc334faa | Mean plot on the UANSTM. | PMC9957405 | ijerph-20-02844-g006.jpg |
0.439235 | 982a61e24d0e48e780219845146cd42d | Ecological quality of localized areas. (a) Distribution of multi-year RSEI means in different administrative units. (b) Annual RSEI for different administrative units. (c) Corresponding proportion of RSEI grades and administrative regions of the UANSTM. | PMC9957405 | ijerph-20-02844-g007.jpg |
0.467108 | 558a7b16348f49eab2fe21234fac6f47 | RSEI cycle variation mapping. | PMC9957405 | ijerph-20-02844-g008.jpg |
0.409846 | c1addb86878d439f9a9b44f1cf1c1632 | The 5-year median distribution of the factors. | PMC9957405 | ijerph-20-02844-g009.jpg |
0.459546 | 951871d1e529457e9fe1a36ccd91dc96 | Folding graph of q statistic at different scales. | PMC9957405 | ijerph-20-02844-g010.jpg |
0.529339 | 1231d35126384c5f8ead814b34e881a9 | RSEI impact factors results of interaction detection. | PMC9957405 | ijerph-20-02844-g011.jpg |
0.469278 | 58cc0eae077f44f7a6c210d7f9c838c7 | The distribution of sampling points for LULC. | PMC9957405 | ijerph-20-02844-g0A1.jpg |
0.426826 | fbe22fe969b54f2899de0d0fe13254a2 | Histogram plot for normalized MOS widely used benchmark database. | PMC9959275 | sensors-23-02279-g001.jpg |
0.408122 | d96b29fd2273482da1b6389873b4090b | Original images from NITS-IQA database. | PMC9959275 | sensors-23-02279-g002.jpg |
0.410833 | 74635b8e27644cdbb05c0ec09463e943 | Distorted images sample (a) Gaussian blur, (b) Gaussian noise (chromatic), (c) uniform noise (chromatic), (d) contrast change (without brightness change), (e) pixelate mosaic, (f) motion blur, (g) JPEG, (h) JPEG2000, (i) JPEG-XT. | PMC9959275 | sensors-23-02279-g003.jpg |
0.441515 | fa34e80ce2d545b28bef85da059dbcba | Development stages of NITS-IQA database. | PMC9959275 | sensors-23-02279-g004.jpg |
0.370419 | 8003db2414c9409dac89c26a2e8da4cc | Graphical user interface (GUI)-1. | PMC9959275 | sensors-23-02279-g005.jpg |
0.427083 | 2141bcb8591d4310aa03ecdc339e421d | Graphical user interface (GUI)-2. | PMC9959275 | sensors-23-02279-g006.jpg |
0.398726 | 7fa7d82e9d8c4ec8928d1fa2e7160770 | Example of subjective test and its setup. | PMC9959275 | sensors-23-02279-g007.jpg |
0.415005 | ffb1198391514fc2ae8252d5a9d31376 | Average of the MOS for reference image. | PMC9959275 | sensors-23-02279-g008.jpg |
0.442469 | 86b6a93406c9454998ba5c1552a33307 | Scatter plots of the subjective scores (MOS) versus ADM. | PMC9959275 | sensors-23-02279-g009.jpg |
0.41793 | 543bc50eb24b40c681dbfa52120438cf | Scatter plots of the subjective scores (MOS) vs. FSIM. | PMC9959275 | sensors-23-02279-g010.jpg |
0.438717 | 5121161644b34c5ba75eb9d6cb2e4ca4 | Scatter plots of the subjective scores (MOS) vs. GMSD. | PMC9959275 | sensors-23-02279-g011.jpg |
0.390588 | 97b8915ccc9b421d8db95955ac25edfa | Scatter plots of the subjective scores (MOS) vs. GSM. | PMC9959275 | sensors-23-02279-g012.jpg |
0.382839 | 33afa6268b9641ee8dad1ef8d197b9b3 | Scatter plots of the subjective scores (MOS) vs. IFC. | PMC9959275 | sensors-23-02279-g013.jpg |
0.435202 | c11b4fb9bd0843d5bc99144f6f78007c | Scatter plots of the subjective scores (MOS) vs. IGM. | PMC9959275 | sensors-23-02279-g014.jpg |
0.430072 | cf213ada4d7341c69595657b5d792292 | Scatter plots of the subjective scores (MOS) vs. MSE. | PMC9959275 | sensors-23-02279-g015.jpg |
0.360708 | 43064f4c8fd145ff87219d041d207d27 | Scatter plots of the subjective scores (MOS) vs. MSSIM. | PMC9959275 | sensors-23-02279-g016.jpg |
0.530632 | 122f7f0f801646fa8130f175e998d496 | Scatter plots of the subjective scores (MOS) vs. RFSIM. | PMC9959275 | sensors-23-02279-g017.jpg |
0.397191 | 199511f494c149d8bb7d68f553a58ce8 | Scatter plots of the subjective scores (MOS) vs. SGF method. | PMC9959275 | sensors-23-02279-g018.jpg |
0.372263 | 45b4edb12bf3424aa696a17c4b9971e8 | Scatter plots of the subjective scores (MOS) vs. SSIM. | PMC9959275 | sensors-23-02279-g019.jpg |
0.431898 | f1b8a53dae974903925206449d5d26f1 | Scatter plots of the subjective scores (MOS) vs. VIF. | PMC9959275 | sensors-23-02279-g020.jpg |
0.393286 | 51811ee6454c4678832ff80c52e51da6 | Scatter plots of the subjective scores (MOS) vs. VIFP. | PMC9959275 | sensors-23-02279-g021.jpg |
0.523178 | a184f3d968c64a67bb18a326cfb8d8be | Chromatogram for the identified molecules of SCRE. | PMC9959296 | pharmaceuticals-16-00318-g001.jpg |
0.407055 | f22e9af1d1124d0da5797159fa3633d7 | Cytotoxicity curve of SCRE (with CC50 of 70.36 ± 0.8 µg/mL). The results are exhibited as mean ± SD. | PMC9959296 | pharmaceuticals-16-00318-g002.jpg |
0.529252 | 07207422702a477ca53d2da6c29224ea | Antiviral activity of Saussurea costus roots on (A) low pathogenic human coronavirus (HCoV-229E) (with IC 50 of 23.21 ± 1.1 µg/mL) and (B) human influenza virus H1N1 (with IC50 of 47.6 ± 2.3 µg/mL). Results are shown as mean ± SD. | PMC9959296 | pharmaceuticals-16-00318-g003.jpg |
0.601767 | f71d6e0e436d4dcbae3f1dd5de3f9133 | Section of a rat lung of the control (group I) showing the following features. (A) A normal lung architecture with thin interalveolar septa and patent alveolar sacs. A thin type I pneumocyte with flat nuclei (I) was noticed, and a small number of cuboidal type II pneumocytes with their large, rounded nuclei and vacuolated cytoplasm (II) were present at the angles of the interalveolar septa (H&E, ×400). (B) The bronchiole is lined by simple columnar epithelium (black arrow) and is surrounded by concentric layers of smooth muscle fibers (M). Club cell is observed in the lining of the bronchiole (blue arrow) (H&E, ×400). | PMC9959296 | pharmaceuticals-16-00318-g004.jpg |
0.509195 | 9e26419b8c054b589a8ce1d8d33214c1 | Section of a rat lung of (CP-treated) group II presenting the following features. (A) Thickened interalveolar septa with heavy mononuclear cellular infiltration (↑) and marked narrowing of the alveolar spaces (S). Alveolar epithelium is hardly distinguished. One regenerated alveolus lined by rounded type II pneumocytes and filled with homogenous exudate can be distinguished (H). The presence of hemosiderin-laden macrophages (▲) is noticed (H&E, ×400). (B) Thickened interalveolar septa with hyperplastic pneumocyte II (blue arrow), foamy macrophage (orange arrow), marked narrowing of the alveolar spaces (S), and over-dilatation of others (E). Congested blood vessel (⁕) is noticed (H&E, ×400). (C) The bronchiole with epithelial cells has strongly stained nuclei (▲). The bronchiolar lumen is full of exfoliated epithelial cells (blue arrow) and is marked by detachment of bronchiolar epithelium from underlying lamina propria. Congested blood vessels (⁕) are noticed with extravasated blood cells in the lung interstitium (H&E, ×400). | PMC9959296 | pharmaceuticals-16-00318-g005.jpg |
0.507629 | 1366f81089bb446aafed8f555c551f34 | A rat lung section of group III (SCRE-treated) presenting the following features. (A) Thin interalveolar septa with patent alveoli. Pneumocyte type I (I) and type II (II) are noticed. Some alveoli contained homogeneous exudate (H). Few mononuclear cellular infiltrations (↑) are noticeable in some interalveolar septa (H&E, ×400). (B) A bronchiole shown with relatively intact epithelial lining (▲). Mononuclear cellular infiltrations (black arrow) are still present with interalveolar septa (H&E, ×400). | PMC9959296 | pharmaceuticals-16-00318-g006.jpg |
0.483968 | ebfea4304abe4e789a4873e454f958e2 | A section of a rat lung showing the following features. (A) A weakly positive brown cytoplasm reaction in the alveolar epithelial lining of the control (iNOS immunostaining, ×400). (B) A dense, positively brown cytoplasm reaction in the alveolar epithelial lining, inflammatory interstitial cells, and endothelial cells of group II (iNOS immunostaining, ×400). (C) A weakly positive brown cytoplasm reaction in the alveolar epithelial lining and endothelial cells of group III (iNOS immunostaining, ×400). | PMC9959296 | pharmaceuticals-16-00318-g007.jpg |
0.413545 | d1f7ece114a9498f96b3198c6e587d3a | A section of rat lung showing the following features. (A) A weakly positive brown cytoplasm reaction along the alveolar epithelial lining of the control group (caspase-3 immunostaining, ×400). (B) A dense, positive brown cytoplasmic reaction in the exfoliated cells and interstitial inflammatory cells (black arrow) of group II (caspase-3 immunostaining, ×400). (C) A weakly positive brown cytoplasm reaction in the alveolar epithelial lining of group III (caspase-3 immunostaining, ×400). | PMC9959296 | pharmaceuticals-16-00318-g008.jpg |
0.486168 | 3df41cbfb4ee4ac7b52215998a40b182 | A section of rat lung showing the following features. (A) PAS-positive cells (↑) in the epithelium of a large bronchus of the control group (PAS stain, ×400). (B) An apparent increase in the PAS-positive cells in the bronchial passage lining epithelium of group II (PAS stain, ×400). (C) The PAS-positive cells in the lining epithelium of a large bronchial passage of group III is relatively comparable to the control group (PAS stain, ×400). | PMC9959296 | pharmaceuticals-16-00318-g009.jpg |
0.480856 | 170d3fb3a0a14c8e8d02df936b1b646f | Levels of the studied markers in the lung tissues of the different groups (A) Relative expression of HO-1 mRNA. (B) MDA levels. (C) Relative expression of miR-let-7a. Data are expressed as mean ± SD. | PMC9959296 | pharmaceuticals-16-00318-g010.jpg |
0.460388 | 6e85a1103ef9467188718f49d9c42eed | Overlay of docked rutin (blue), catechin (green), chlorogenic acid (red), ellagic acid (yellow), methyl gallate (pink), and gallic acid (orange) into (a) the caspase-3 protein (Code: 3DEI), (b) HO-1 (Code: 3CZY), and (c) iNOS (Code: 1NSI). | PMC9959296 | pharmaceuticals-16-00318-g011.jpg |
0.534139 | f136ebecd9c84b92a7c641779e0edfba | The 2D schematic interactions of docked (a) RUT, (b) CAT, (c) CHL, (d) ELL, (e) GAT, and (f) GAL into the caspase-3 protein (Code: 3DEI). | PMC9959296 | pharmaceuticals-16-00318-g012.jpg |
0.464962 | 8744e1cc853444afa93208dceb77d8ca | The 2D schematic interactions of docked (a) RUT, (b) CAT, (c) CHL, (d) ELL, (e) GAT, and (f) CAT with human HO-1 (Code: 3CZY). | PMC9959296 | pharmaceuticals-16-00318-g013.jpg |
0.434675 | a804738e37464be4970309e719ea8af0 | The 2D schematic interactions of docked (a) RUT, (b) CAT, (c) CHL, (d) ELL, (e) GAT, and (f) CAT with human inducible nitric oxide synthase (Code: 1NSI). | PMC9959296 | pharmaceuticals-16-00318-g014.jpg |
0.41406 | 30f8ab6d0f4e48cc86dca5ca653baf51 | The 2D schematic interactions of docked daidzein (a), quercetin (b), and kaempferol (c) with human HO-1 (Code: 3CZY). | PMC9959296 | pharmaceuticals-16-00318-g015.jpg |
0.504479 | 27b3f7a486254cd1ae51910b5294f1eb | Overlay of the docked and co-crystalized ligand of (a) HO-1 (RMSD = 1 Å), (b) caspase-3 (RMSD = 1.118 Å), and (c) inducible nitric oxide synthase (RMSD = 1.496 Å) enzymes. | PMC9959296 | pharmaceuticals-16-00318-g016.jpg |
0.451462 | b6373af0628c49a0812526d29e9a3819 | Production of plasma AEA and 2-AG in patients with COVID-19 using GC treatment. Levels of AEA (a) and 2-AG (b) in COVID-19 patients (mild/moderate, n = 55 and severe/critical, n = 145) compared to healthy controls (n = 35). COVID-19 patients who use/do not use GC were segregated into mild/moderate (non-GC, n = 35 vs. GC, n = 20) and severe/critical (non-GC, n = 42 vs. GC, n = 103), showed production of AEA (c) and 2-AG (d) compared to healthy controls. Statistical analyses were performed using the Kruskal–Wallis multiple comparison test (non-parametric), followed by Dunn’s post-test. Data are expressed as median in boxplot graphs with minimum and maximum values with a confidence interval of +/− 95%. Significance levels shown are based on statistically significant p-values between groups, considering significant with p < 0.05. | PMC9959303 | viruses-15-00573-g001.jpg |
0.411113 | bb5d6b5cea29447b974b88303d0072b7 | Production of Lyso-PAF C16, PAF C16, and relative abundance of Lyso-PC and Lyso-PE species in COVID-19 patients with the use of GCs. Levels of Lyso-PAF (16:0) (a) and PAF (16:0) (b) in COVID-19 patients (mild/moderate (n = 55) and severe/critical (n = 145) compared to healthy controls (n = 35). COVID-19 patients who use/do not use GCs were segregated into mild/moderate (non-GC, n = 35 vs. GC, n = 20) and severe/critical (non-GC, n = 42 vs. GC, n = 103) show significant differences in Lyso-PAF (16:0) (c) and PAF (16:0) (d) compared to healthy controls. Relative abundance (ratio %) production of Lyso-PCs (e) and Lyso-PEs (f) in individuals not treated with GCs (mild/moderate, n = 35 and severe/critical, n = 42); Lyso-PCs (g) and Lyso-PEs (h) of GC-treated individuals (mild/moderate, n = 20 and severe/critical, n = 103). Statistical analyses were performed using the Kruskal–Wallis multiple comparison test (non-parametric), followed by Dunn’s post-test. Data are expressed as median in boxplot graphs with minimum and maximum values with a confidence interval of +/−95%. Significance levels shown are based on statistically significant p-values between groups, significant for p < 0.05. Area ratio: area ratio between the metabolite and the correspondence internal standard. | PMC9959303 | viruses-15-00573-g002.jpg |
0.46657 | 408269bf98c34a7f8d58b260b3394ad4 | The influence of GCs in the gene expression of enzymes and receptors related to the eCB and PAF pathway in whole blood leukocyte transcriptomic data. Schematic representation of the PAF formation pathway, involved the genes: (a) PLA2G4A, PLA2G5, PL2G6 and PL2G7; (b) LPCAT1 and LPCAT2; (c) PAFAH1B1 and (d) PTAFR and CNR2. On behalf of eCB pathway for AEA formation, the gene expression: (e) (NAPEPLD) and (f) (FAAH); and 2-AG formation: (g) PLCB1; PLCB2; (h) DAGLB; (i) MGLL. Differential expression was carried out between Healthy control (n = 12), COVID-19 non-CG (n = 19), and COVID-19 GC (n = 35) groups. The log2 of normalized gene expression profiles for analyzed groups were showed as boxplots. Significant differences in transcript expression was accessed using Benjamini and Hockberg adjusted p-values to controlling false discovery rate (FDR) obtained from whole transcriptome differential expression analysis considering a threshold of FDR < 0.05. Table S2 contained gene fold change values, nominal and FDR adjusted p-values obtained from the differential expression analysis between the analyzed groups. | PMC9959303 | viruses-15-00573-g003.jpg |
0.443851 | 5255f788fa0041d28e1ab1704a6bc364 | Correlations of 2-AG and PAF C16 with inflammatory markers of COVID-19 patients. (a) Correlation matrix demonstrating interactions between levels of 2-AG, PAF (16:0) and the inflammatory parameters, IL-10, IL-6, sTREM-1, lymphocytes and neutrophil counts. Color scale sidebar indicates correlation coefficients (r), color-coded: red, positive correlation; blue, negative correlation; the intensity of the color represents the intensity of the correlation. Values adjust between −1.0 and 1.0. The significance levels indicated with gray asterisks are based on the p < 0.05 of the Spearman’s correlation coefficient (r ) *. (b) Absolute values of neutrophils and (c) lymphocytes in patients GC-treated or not with COVID-19 mild/moderate (non-GC, n = 35 vs. GC, n = 20) and severe/critical (non-GC, n = 42 vs. GC, n = 103). Statistical analyses were performed using the Kruskal–Wallis multiple comparison test (non-parametric), followed by Dunn’s post-test. Data are expressed as median in boxplot graphs with minimum and maximum values with a confidence interval of +/−95%. Significance levels shown are based on statistically significant p < 0.05 between groups. | PMC9959303 | viruses-15-00573-g004.jpg |
0.422381 | fe7ec8a1aee94d1880458ad28a091271 | Altered profile of eCBs and PAF induced by the use of GCs in patients with COVID-19. (a) Correlation matrix between lipid mediators species in individuals using GCs. The color scale sidebar indicates the correlation coefficients (r), color-coded: red, positive correlation; blue, negative correlation; the intensity of the color represents the intensity of the correlation. Values adjust between −1.0 and 1.0. Significance levels indicated with gray asterisks are based on the p-value < 0.05 of the Spearman’s correlation coefficient (r)*. (b) Production of arachidonic acid (AA) in COVID-19 patients with the use of GCs, healthy controls (n = 18), non-GC (n = 22) and GC (n = 30). Statistical analyses were performed using the Kruskal–Wallis multiple comparison test (non-parametric), followed by Dunn’s post-test. Data are expressed as median in boxplot graphs with minimum and maximum values with a confidence interval of +/−95%. Significance levels shown are based on statistically significant p < 0.05 values between groups. (c) Schematic representation of the eCBs and PAF pathways in COVID-19 patients and the regulation of GCs in this model. (Created with BioRender.com, Agreement number: RJ24TV89SK). | PMC9959303 | viruses-15-00573-g005a.jpg |
0.417507 | 352eb66f2ae54d73ad2a934e539d0282 | Functional annotation of the Heterosigma akashiwo full-length transcriptome. (a) Summary of the unigene annotation with seven public databases. At least: the number of unigenes that were annotated with at least one database. All: the number of unigenes that were annotated with all the databases; (b) Venn diagram of the annotation among the five databases. | PMC9959365 | microorganisms-11-00389-g001.jpg |
0.483304 | abe222e9b0204fb1a66656c696d02241 | Gene Ontology functional classification of all the unigenes of Heterosigma akashiwo. | PMC9959365 | microorganisms-11-00389-g002.jpg |
0.419741 | 5ba886765d5b4b38a51880e4c47bbd25 | Kyoto Encyclopedia of Genes and Genomes classification of all the unigenes of Heterosigma akashiwo. | PMC9959365 | microorganisms-11-00389-g003.jpg |
0.429332 | 0e0d2b4a71b94a83b932acc2e1002fd1 | A cell model showing the unigenes of Heterosigma akashiwo involved in nitrogen uptake and metabolism. This model was modified from previous studies [34]. The red and black boxes represent the unigenes that were detected and not detected, respectively. The detail information of these genes is listed in Table S2. | PMC9959365 | microorganisms-11-00389-g004.jpg |
0.446224 | a8b3b25b19e944fa9489469ffc5a97d8 | A cell model showing the unigenes of Heterosigma akashiwo that are involved in phosphorus uptake and metabolism. This model was modified from previous studies [35,36]. The red and black boxes represent the unigenes that were detected and not detected, respectively. The detail information of these genes is listed in Table S3. | PMC9959365 | microorganisms-11-00389-g005.jpg |
0.456977 | 329817dd13634832b9ec8371ee374253 | Identification of the transcription factors (TFs) and long non-coding RNAs (lncRNAs) of Heterosigma akashiwo. (a) The distribution of the top 20 transcript families. (b) A Venn diagram of the lncRNAs that were predicted by the CNCI, CPC, Pflam, and PLEK. The detail information of these genes is listed in Tables S4 and S5. | PMC9959365 | microorganisms-11-00389-g006.jpg |
0.407033 | db7bc8f9a8fa4aa6b74ebb3eb26dcc9c | The distribution of the detected simple sequence repeats (SSRs) in the Heterosigma akashiwo transcriptome. Mono: mononucleotide; Di: dinucleotide; Tri: trinucleotide; Tetra: tetranucleotide; Penta: pentanucleotide; and Hexa: hexanucleotide. The detail information of these genes is listed in Table S6. | PMC9959365 | microorganisms-11-00389-g007.jpg |
0.51184 | 264866220cd840ec9272c42d4008bb1b | X-ray diffractograms analysis of Ti-18Zr-15Nb alloy after quenching and quenching followed by aging. | PMC9959511 | materials-16-01754-g001.jpg |
0.454781 | 4768ece7893248dd983fe6b53ea52473 | X-ray diffractograms of Ti-18Zr-15Nb alloy after HPT and aging. | PMC9959511 | materials-16-01754-g002.jpg |
0.394807 | ee69498079ee43e3a8163f3fae89e5b0 | Volume fraction of α-phase in the Ti-18Zr-15Nb alloy depending on annealing route after (a) initial quenching; (b) initial HPT. | PMC9959511 | materials-16-01754-g003.jpg |
0.434294 | 5937245ee6964f64a0195087312c61ee | Hardness of the Ti-18Zr-15Nb alloy depending on annealing route after: (a) quenching and (b) HPT. | PMC9959511 | materials-16-01754-g004.jpg |
0.388699 | 85633ea674384d618b5e3c316ddb8dc1 | TEM images of the Ti-18Zr-15Nb alloy after: (a) Q + 450 °C 3 h; (b) Q + 450 °C 12 h. Bright field (BF) and dark field (DF) images, and SAED patterns are shown. Zone axis is close to <110> β. In (a), DF1 is taken from an individual 211β family reflex, while DF2 is taken from an individual 110α reflex. In (b), DF1 is taken from an individual 100α family reflex, while DF2 is taken from 110β reflex. | PMC9959511 | materials-16-01754-g005.jpg |
0.435072 | 1a3079f69e35406b94a99274c88a7907 | TEM images of the Ti-18Zr-15Nb alloy after: (a) HPT + 450 °C 3 h; (b) HPT + 450 °C 12 h. Bright field (BF) and dark field (DF) images, and SAED patterns. In Figure 6a, the DF1 is from both 110β and 100α rings, while DF2 is from individual 110α family reflex. In Figure 6b, the DF1 is taken from 100α, 110β and 021α″ families reflex, while DF2 is from 100α and 021α″ reflexes. | PMC9959511 | materials-16-01754-g006.jpg |
0.442101 | 4868e97c58a54a69aa69e59c406ce4e6 | Microstructure of the Ti-18Zr-15Nb alloy after: (a,c) Q + 500 °C 12 h; (b,d) HPT + 500 °C 12 h; (e) Q + 550 °C 12 h; and (f) HPT + 550 °C 12 h. | PMC9959511 | materials-16-01754-g007.jpg |
0.418444 | 6bf4c8c803f14305be8f762ca8fdbe61 | C-curve of α-phase formation after Q and after HPT. | PMC9959511 | materials-16-01754-g008.jpg |
0.409958 | 74017d8cb5ff497eb194ffab4826ad41 | The 3D-printed PLA discs, which are 2.85 mm thick, are drop-coated with 0.00 mg of GO (a), with 0.10 mg of GO (b); 3D-printed PLA discs of 2.20 mm thick (c), and 5.60 mm thick (d), are drop-coated with 0.10 mg of GO. | PMC9959892 | jfb-14-00080-g001.jpg |
0.507794 | f2d3284c4c2443ccb13de8d9391696ee | Fourier Transform (FT)Raman spectra in both faces of the GO-PLA discs. | PMC9959892 | jfb-14-00080-g002.jpg |
0.447502 | 63c30dabebc8416aab3912c8d413ae1e | Descriptive graphic of the experimental setup using a diode NIR laser and two thermographic cameras. | PMC9959892 | jfb-14-00080-g003.jpg |
0.39848 | 189c6bd0cc3e4a5b81a4513dd2e5a24f | Flowchart of the experimental procedure. | PMC9959892 | jfb-14-00080-g004.jpg |
0.44822 | 008237cc8b194504ad81995db228a236 | Temporal evolution of the average temperature on the upper surface of the probe. | PMC9959892 | jfb-14-00080-g005.jpg |
0.421335 | f6d1ed4940f948788b546995eaee8e37 | Description of the numerical process to ascertain the thermal conductivity of the probe based on the experimental results. | PMC9959892 | jfb-14-00080-g006.jpg |
0.43446 | 51c8b1faa4fe4084b4cd7fbb83a0621c | Graph of the obtained value of thermal conductivity vs. the difference in the average temperature between the upper and lower surfaces of the probe for all the experimental points. | PMC9959892 | jfb-14-00080-g007.jpg |
0.415753 | 944e480abf9b456398846c5fdfc82bfb | Graph of the total absorbed power (left axis) and the percentage of absorbed power with respect to the total emitted power (right axis) vs the NIR laser emitted power (horizontal axis). | PMC9959892 | jfb-14-00080-g008.jpg |
0.452582 | c10bcda2e2b54cfa818facfeaf0c5266 | Graph of the profile of the temperature at the bottom surface of the probe for the different values of the mass of GO and laser power. The percentage values represent the percentage of the area of the surface that is above each level of hyperthermia (dotted horizontal lines). | PMC9959892 | jfb-14-00080-g009.jpg |
0.42099 | bfcab71eec9d4adba4cb148f9460c7d7 | Graph of the average temperature on the bottom surface of the probe, depending on the probe thickness and the emitted laser power. | PMC9959892 | jfb-14-00080-g010.jpg |
0.424216 | f8fc9c23289747c789ffe515be2c0c59 | Graph of the profile for temperature on the bottom surface of the probe for the different values of probe thickness and laser power. Percentage values represent the percentage of the area of the surface that was above each level of hyperthermia (dotted horizontal lines). | PMC9959892 | jfb-14-00080-g011.jpg |
0.485554 | 6162915ca88a4b589d00eb07c8758587 | Major contributions to the deposited data in the GISAID platform in terms of submitting country (A) and month of submission from February 2020 until July 2022 (B). In both graphics, the continent of submission is indicated in the color code. In (A) only countries that contributed to at least 0.5% of the data are indicated individually. | PMC9959893 | viruses-15-00560-g001.jpg |
0.387067 | 859bfb4b7bc6492380a6be626083b5a0 | Percentage of sequenced genomes of SARS-CoV-2 given the reported incidence in different countries. Values displayed include months from March 2020 until July 2022. | PMC9959893 | viruses-15-00560-g002.jpg |
0.411183 | ce99c092555145cebdfea2b233b74424 | Estimated time elapsed between SARS-CoV-2 isolate collection and the deposit of the genome in the GISAID dataset for each continent; ((A) Africa, (B) Asia, (C) Europe, (D) North America, (E) Oceania, and (F) South America), between February 2020 and July 2022. | PMC9959893 | viruses-15-00560-g003.jpg |
0.417407 | ed84facac6c841aebd2f7396043023cc | Heat map contextualizing the relative percentage of sequenced genomes in each country against the average percentages worldwide. Red points indicate that the percentage in that country/month was higher than the average worldwide, white represents a similar average, while tones of blue indicate that the average of sequenced genomes was lower than the worldwide average. | PMC9959893 | viruses-15-00560-g004.jpg |
0.420022 | 814ae7fa0a02434aad70f4ac77b25732 | Heat map representing the percentage of hypothetical uncharacterized genomes present in each country against the hypothetical global values. A scale from white to blue to black indicates an increasing percentage. Black indicates that in that month, that country accounts for 2.4% or over of genetically uncharacterized SARS-CoV-2 genomes in the world. | PMC9959893 | viruses-15-00560-g005.jpg |
0.449397 | c7134a5444644c878189a7a723f994e0 | Geographic interpolation results of the first appearance of global clades as deposited in GISAID using the Kriging algorithm. Results were obtained for clades G (A), GH (B), GR (C), GK (D), GV (E), GRY (F) and GRA (G). | PMC9959893 | viruses-15-00560-g006.jpg |
0.452392 | a282f2867d3049db8e1d32b45e3212a2 | Median networks of the earliest deposited data of global SARS-CoV-2 lineages. The reference sequence was used as an outgroup in each. Networks are colored according to their geography and also according to time of collection. Networks were performed for clades G (A), GH (B), GR (C), GK (D), GV (E), GRY (F) and GRA (G). | PMC9959893 | viruses-15-00560-g007.jpg |
0.398023 | 28faf951a90e4580a844710a72a86aa2 | (A) All DNA vaccine constructs consisted of circular double-stranded DNA. Traditional plasmids, pTarget O1P1-3C and mpTarget O1P1-3CLT, are of larger size than minicircles O1P1-3C or O1P1-HIV-3CT. Minicircle and plasmid features; 1: SV40 polyA, 2: attP/attB, 3: CMV promoter, 4: O1P1, 5: 3C protease, 6: HIV frameshift, 7: ORI, 8: CMV enhancer, 9: Intron, 10: SGLuc biomarker, 11: Neomycin selection marker, and 12: AmpR. (B) Western blots of transfected cell lysates demonstrate fully processed VPs with O1P1-3C minicircles and mpTarget O1P1-3CLT plasmid, whereas lysates of the O1P1-HIV-3CT minicircle transfected cells demonstrate both fully processed VPs and partially processed intermediates. | PMC9960313 | vaccines-11-00386-g001.jpg |
0.499641 | 36a67f48a2f7416a8ac41dea952868a2 | TEM of cells transfected with either O1P1-3C minicircles, pTarget O1P1-3C, or mpTarget O1P1-3CLT plasmid, showing FMDV VLP crystalline arrays; the black bar represents 500 nm. Cells transfected with pTarget O1P1-3C were evaluated by immuno-EM utilizing gold labeled F1412SA antibody. | PMC9960313 | vaccines-11-00386-g002.jpg |
0.459348 | e8b24360beae48a795d994a5e4591a48 | Antigen extracted from cells transfected with mpTarget O1P1-3CLT plasmid was found to (A) sediment at the appropriate density using a cesium chloride density gradient and (B) produce VNTs in two guinea pigs, ear tags D17-57 and D17-58, inoculated in a non-challenge study at 7 (blue) and 14 (orange) days post-vaccination. VNTs were further enhanced at 28 days post-vaccination (gray) following a boost at day 21. | PMC9960313 | vaccines-11-00386-g003.jpg |
0.431363 | 68d0ba936566410790d56b5120ccb10c | (A) Relative luciferase units per half second of IBRS2 cells transfected with either traditional plasmid, pTarget (blue), or minicircles (red), expressing the SGLuc reporter and monitored over three days of expression. (B) Minicircles are less than half the size of pTarget, they do not contain additional features to enhance transgene expression, such as chimeric intron and CMV enhancer sequences. | PMC9960313 | vaccines-11-00386-g004.jpg |
0.408772 | b655e79cf9c44336804ef203cfc330a9 | Surface (a-1,a-2) and cross-sectional (b-1,b-2) microstructures of the as-sprayed 316L stainless steel coating. | PMC9960317 | materials-16-01392-g001.jpg |
0.383951 | d3149fdea0f747b59a749b692dc61504 | Surface (-1) and linear profiles (-2) of the 316L (a), ground 316L (b), coating (c), and ground coating (d) samples. | PMC9960317 | materials-16-01392-g002.jpg |
0.417936 | 5b98ca855e04434587144c6e7daa3a9a | XRD patterns (a) and microhardness (b) values of the specimens before cavitation erosion. | PMC9960317 | materials-16-01392-g003.jpg |
0.432566 | 769f4f1f10914a3e92b2459ee80a091f | Cumulative mass losses (a) and average erosion rates (b) of the specimens after cavitation erosion exposure for 6 h in deionized water. | PMC9960317 | materials-16-01392-g004.jpg |
0.510898 | df14a765858a420aa3322b0590135a10 | Surfaces of the 316L (a-1–a-4) and ground 316L (b-1–b-4) specimens before and after cavitation erosion. | PMC9960317 | materials-16-01392-g005.jpg |
0.407925 | 63986b5b636046a59ba68497cbc25050 | Surface of the coating (a) and ground coating (b) specimens before and after cavitation erosion. | PMC9960317 | materials-16-01392-g006.jpg |
0.447672 | d3551883c3d848e4bad7a0cd9b40e8c3 | The microstructural evolution of the coating (a) and ground coating (b) specimens during the cavitation erosion process for (-1) 0 min, (-2) 1 min, (-3) 3 min, (-4) 5 min, (-5) 10 min, and (-6) 20 min. | PMC9960317 | materials-16-01392-g007.jpg |
0.438577 | 2f0d69d01a414b12b6b1973616b81f07 | The microstructural evolution of the ground coating during the cavitation erosion process for (a) 0 min, (b) 15 min, (c) 45 min, (d) 60 min, (e) 120 min, and (f) 150 min. | PMC9960317 | materials-16-01392-g008.jpg |
0.443436 | 83a0dae77a724085ba4a5c71c03f17e4 | Effect of nitrogen deficiency on peanut root development and growth. Root morphology of peanut under high nitrogen (A) and low nitrogen (B) for five days and that under high nitrogen (C) and low nitrogen (D) for ten days. The original size of the target bar is 1 cm high and 2 cm wide. | PMC9960604 | plants-12-00732-g001.jpg |
0.468503 | 56d0f94895a148ad83a6e3442334a0ac | Effect of nitrogen deficiency on the leaf nitrogen balance index (NBI). HN: high nitrogen; LN: low nitrogen. The different letters on the bars indicate a significant difference at p < 0.05 between the high-nitrogen and low-nitrogen treatments on the same day. | PMC9960604 | plants-12-00732-g002.jpg |
0.521877 | bafb00f2f40e47d9b7454e7d3623ff4d | Effect of nitrogen deficiency on enzyme activities in peanut roots. Nitrate reductase (NR) (A), glutamine synthetase (GS) (B), glutamate dehydrogenase (GDH) (C), and glutamine oxoglutarate aminotransferase (GOGAT) (D). HN: high nitrogen; LN: low nitrogen. The different letters on the bars indicate a significant difference at p < 0.05 between the high-nitrogen and low-nitrogen treatments on the same day. | PMC9960604 | plants-12-00732-g003.jpg |
Subsets and Splits