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0.430631 | d75636bab23e4922afa0f58646d0d604 | Comparative radius of gyration (ROG) plots of alpha-carbon, the top-five phenolics, and amoxicillin against the active site of PBP2a of S. aureus over a 120 ns MD simulation period. | PMC9503099 | pharmaceutics-14-01818-g006.jpg |
0.412966 | feef24cb5659494e897823cbe1e6b372 | Comparative solvent-accessible surface area (SASA) plots of alpha-carbon, the top-five phenolics, and amoxicillin against the active site of PBP2a of S. aureus over a 120 ns MD simulation period. | PMC9503099 | pharmaceutics-14-01818-g007.jpg |
0.445767 | 2cdcba1712584315a0b36f1cabdcdecb | Time evolution of the number of intramolecular hydrogen bonds (a) and distance (b) formed in PBP2a following the binding of amoxicillin and the top-five phenolics at the active site of PBP2a of S. aureus during the 120 ns MD simulation period. | PMC9503099 | pharmaceutics-14-01818-g008.jpg |
0.418687 | f7fd945d87c14acc920194711d7b42d4 | Comparative root-mean-square fluctuation (RMSF) plots of alpha-carbon, the top-five phenolics, and amoxicillin against residues of PBP2a of S. aureus (a), and gatekeeper residue [Tyr446 (black arrow)] of PBP2a (b) when the top-five phenolics and amoxicillin were bound at the active site of PBP2a over a 120 ns MD simulation period. | PMC9503099 | pharmaceutics-14-01818-g009.jpg |
0.419237 | 7596825947e8428f9c2b0707378f4ce3 | Comparative root-mean-square fluctuation (RMSF) plots of alpha-carbon, the top-five phenolics, and amoxicillin against residues of PBP2a of S. aureus (a), and gatekeeper residues [Tyr446 (black arrow)] of PBP2a (b) when the top-five phenolics and amoxicillin were bound at the allosteric site of PBP2a over a 120 ns MD simulation period. | PMC9503099 | pharmaceutics-14-01818-g010.jpg |
0.392838 | d1c3c053132c4765907ae151789b16f6 | Correlation of the binding free energy of the top-five phenolics at the allosteric site of PBP2a and fluctuation of Tyr446 of PBP2a of S. aureus. | PMC9503099 | pharmaceutics-14-01818-g011.jpg |
0.389379 | f83e6d77a89740b59f2daa4c15b1c5b0 | Plot of interactions of amoxicillin (a) and silicristin (b) against the active site of PBP2a of S. aureus. | PMC9503099 | pharmaceutics-14-01818-g012.jpg |
0.442381 | 9fc69066748640c4890de4aa540df951 | Plot of interactions of amoxicillin (a) and epicatechin gallate (b) against the allosteric site of PBP2a of S. aureus. | PMC9503099 | pharmaceutics-14-01818-g013.jpg |
0.476587 | aedb978ccff14fe7986c5812ae26a0ff | Mortality of two predators’ life stages without fall armyworm offered as prey. | PMC9503628 | insects-13-00815-g001.jpg |
0.463176 | 4d8feca339f34d9baf4beb259d4f0b46 | Urinary levels of collectrin in subjects with and without AKI. Minimum urinary collectrin values and association with stage of AKI. Minimum collectrin levels of patients with AKI stage I (1630 ± 1956 pg/mL; p = 0.019), AKI stage II (1616 ± 2148 pg/mL; p = 0.021) and AKI stage III (1576 ± 1686 pg/mL; p = 0.001) were significantly lower when compared with subjects without AKI (2855 ± 2073 pg/mL). Among patients without AKI, there was no difference between collectrin levels of healthy volunteers and patients with chronic kidney disease (CKD); 3468 ± 2452 pg/mL vs. 2453 ± 1706 pg/mL, p = 0.08. | PMC9503639 | life-12-01391-g001.jpg |
0.518637 | 43573ad436de42aaa8c62c6c36526f6b | Receiver operating characteristic (ROC) analysis of urinary collectrin in subjects without and with AKI. The cut-off level of 1606 pg/mL of minimum collectrin had a sensitivity of 0.74 and a specificity of 0.70 for detecting AKI. | PMC9503639 | life-12-01391-g002.jpg |
0.501036 | 65946808473d452e89bc4fa972b898d5 | Initial configuration of the miniaturized wide-angle fisheye lens system. | PMC9503868 | micromachines-13-01409-g001.jpg |
0.4178 | 0d18d36b6a7b45c68e33d6d7da102878 | Framework with the training process for the lens design. | PMC9503868 | micromachines-13-01409-g002.jpg |
0.479842 | e2e115d50fc04ae7bb440fd90820fb42 | Five-lens structural design of a miniaturized wide-angle fisheye lens using an OKP4HT aspherical lens to replace a glass spherical lens. | PMC9503868 | micromachines-13-01409-g003.jpg |
0.462063 | dbfb823b40a34f6fa5e923fd9fb56bab | Spot diagram size of a miniaturized wide-angle fisheye lens using an OKP4HT aspherical lens; the figure shows the RMS spread of the images at three field angles of 0°, 71°, and 87°. The blue, green, and red dots represent the wavelengths of 0.4861, 0.5876, and 0.6563 μm, respectively. | PMC9503868 | micromachines-13-01409-g004.jpg |
0.42462 | eb3eff5b77034b7dad08c1db7f9afa51 | Field curvature (left) and distortion plot (right) of a miniaturized wide-angle fisheye lens using an OKP4HT aspherical lens. | PMC9503868 | micromachines-13-01409-g005.jpg |
0.477443 | 135babcc9c9e46b6b6c1cd49d2207e51 | Lateral color of a miniaturized wide-angle fisheye lens combined with an OKP4HT aspherical lens. The blue, green, and red lines represent the wavelengths of 0.4861, 0.5876, and 0.6563 μm, respectively. | PMC9503868 | micromachines-13-01409-g006.jpg |
0.389487 | 96dcc477432e42b78027a590c213664a | Modulation-transfer-function (MTF) curves of a miniaturized wide-angle fisheye lens combined with an OKP4HT aspherical lens. The blue, green, and red lines represent the tangential and sagittal (T = tangential; S = sagittal) directions for the 0°, 71°, and 87° cases, respectively. | PMC9503868 | micromachines-13-01409-g007.jpg |
0.394561 | c4d95a2e4617494ebd92fd4ef807aa55 | Cumulative probability vs. modulation transfer function (MTF) for a fisheye lens combined with an OKP4HT aspherical lens. For the cumulative probability of 90%, the tangential MTF values at the half FOV for the 0°, 71°, and 87°cases correspond to 0.72, 0.48, and 0.41, respectively. | PMC9503868 | micromachines-13-01409-g008.jpg |
0.489213 | f623e77f43464a7d9d9ce22a751778af | Design of a miniaturized wide-angle fisheye lens using a polymethyl methacrylate (PMMA) aspheric lens to replace a glass spherical lens. | PMC9503868 | micromachines-13-01409-g009.jpg |
0.404577 | a09ff200acfb4624a277d9fda698ef3a | The spot size of a miniaturized wide-angle fisheye lens using a polymethyl methacrylate (PMMA) aspheric lens. The image also shows the RMS spread of the images at three field angles of 0°, 71°, and 87°. The blue, green, and red dots represent wavelengths of 0.4861, 0.5876, and 0.6563 μm, respectively. | PMC9503868 | micromachines-13-01409-g010.jpg |
0.501558 | 91d21040c935488f928637778d50899f | Field curvature (left) and distortion (right) of a miniaturized wide-angle fisheye lens using a polymethyl methacrylate (PMMA) aspheric lens. | PMC9503868 | micromachines-13-01409-g011.jpg |
0.468588 | c039165abf1849c382b235c5eb275958 | Lateral color of wide-angle fisheye lenses using a polymethyl methacrylate (PMMA) aspheric lens. The blue, green, and red lines represent the wavelengths of 0.4861, 0.5876, and 0.6563 μm. | PMC9503868 | micromachines-13-01409-g012.jpg |
0.412708 | c4e37dc2685e4325a87e59a68f132872 | Modulation transfer function (MTF) of wide-angle fisheye lenses using a polymethyl methacrylate (PMMA) aspherical lens. The blue, green, and red lines represent the tangential and sagittal (T = tangential; S = sagittal) directions for the 0°, 71°, and 87°cases, respectively. | PMC9503868 | micromachines-13-01409-g013.jpg |
0.426196 | 28e664116d7140c39e627190a3da5d92 | Cumulative probability vs. modulation transfer function (MTF) for fisheye lenses using a polymethyl methacrylate (PMMA) aspherical lens. For the cumulative probability of 90%, the tangential MTF values at the half field of view for the 0°, 71°and 87°cases correspond to 0.67, 0.58, and 0.43, respectively. | PMC9503868 | micromachines-13-01409-g014.jpg |
0.436134 | aee9f912bdf34f73a21ce3e808b7312a | Model scheme. | PMC9503974 | metabolites-12-00808-g001.jpg |
0.457611 | 753e003a8f3c431fbe42fdc816c1b1a6 | Pipeline for the analysis of the S. epidermidis RP62A model. | PMC9503974 | metabolites-12-00808-g002.jpg |
0.511327 | d758a15d08884f118b705f26ad9e231d | Sulfur pathway from S. epidermidis RP62A metabolism (KEGG database). The pathway for cysteine synthesis is highlighted in pink. | PMC9503974 | metabolites-12-00808-g003.jpg |
0.471087 | 9d6b358cc9be461bbe5409e67bd47bc1 | Allelic hotspots and gene annotations of C. cayetanensis mitochondrial genome. Annotations of KP231180, the reference mitochondrial genome of C. cayetanensis [31], are illustrated. Two coding sequences CDS cox1 and cox3 (blue) contain a few polymorphic alleles, but the majority of the allelic hotspots (base-positions marked in red) are distributed across the genome, including among rRNA genes (green) and intergenic regions. The hotspots were identified by manually curating multiple alignments of genomes with the reference genome KP231180 [34,36]. The rRNA-containing segment between 3900 and 4100 with two SNPs was targeted by the mit3PCR developed in this study (green triangles). | PMC9504131 | microorganisms-10-01762-g001.jpg |
0.431999 | 42c8f5f409194c0b8005a6d44eb35a91 | Annotations of the product of mit3PCR by 3F1–3R1 primers. 3F1 and 3R1 primers generated 182 bp product spanning 3832 to 4013 bases inclusive on the reference mitochondria genome KP231180. The forward (red) and reverse (green) primers were also used for sequencing the PCR amplicons. There are two known allelic hotspots (blue) [36] at 3910 (at A to C) and 3973 (T to G) that have been reported to be highly discriminatory with various sample collections (HNC, GG, and AJD personal communication). | PMC9504131 | microorganisms-10-01762-g002.jpg |
0.454126 | 37d69919293a4c5dbb9d87cb496c6427 | (a) As-received sample; (b) Sample after austenitizing and furnace cooling. | PMC9504558 | materials-15-06424-g001.jpg |
0.503951 | d5666c4368e941869120385529d6c8cf | Schematic diagram of (a) multi-step and (b) single-step rolling and annealing process. Ae1: starting temperature of pearlite to austenite transformation during heating; Ae3: ending temperature of transformation to austenite after heating. | PMC9504558 | materials-15-06424-g002.jpg |
0.451826 | 9e410013308a4879b32c8308a5ebab3a | Microstructure of (a) CR27; (b) MS27; (c) CR54; (d) MS54; (e) CR81-1; (f) MS81; (g) CR81-2; and (h) SS81, M (martensite), F (ferrite), P (pearlite). | PMC9504558 | materials-15-06424-g003.jpg |
0.481025 | 1e7870e4d2234ffd91fc927243761d64 | Ferrite grain size and volume fraction of martensite in MS27, MS54, MS81, and SS81. | PMC9504558 | materials-15-06424-g004.jpg |
0.426924 | 180df0bf4cd747739cbb1354d39e46b4 | Ferrite grain distribution in (a) MS81 and (b) SS81. | PMC9504558 | materials-15-06424-g005.jpg |
0.463191 | e4e342c0c03942b5a1f2a43b1cd4e668 | (a) Engineering stress–strain curves of MS27, MS54, MS81, and SS81, and (b) differential C-J plots of ln(dσ/dε) versus ln(ε) for MS27, MS54, MS81, and SS81. | PMC9504558 | materials-15-06424-g006.jpg |
0.457187 | 2068e8f993884dc7bff605c9526f2321 | SEM image of the fracture: (a) MS81, and (b) SS81. | PMC9504558 | materials-15-06424-g007.jpg |
0.498352 | 6eb76c110c1b40f9b52aa95e1668154a | Chemical retention value of the rubberwood vacuum pressure impregnated with different concentrations of pyroligneous acid. | PMC9505775 | polymers-14-03863-g001.jpg |
0.432391 | 413d7d9d13f94588857e5631fe35a175 | Weight losses recorded on rubberwood vacuum pressure impregnated with different concentrations of pyroligneous acid exposed to P. sanguineus for 12 weeks. | PMC9505775 | polymers-14-03863-g002.jpg |
0.50031 | 391e82d0961543bd8af456212af89e18 | Virome presence and abundance. The abundance within samples is presented for genera and families in viruses with vertebrate hosts. The abundance is expressed by log2 of the reads per kilobase per million mapped reads (RPKM). | PMC9505981 | viruses-14-01899-g001.jpg |
0.378488 | 1ed9e5e2e93747ad90ed92a804282eef | Pedacovirus. Phylogenetic trees of representative alphacoronavirus sequences were obtained for (A) a 291 a.a region of the ORF1b protein and (B) a 141 a.a region of the spike. The trees were inferred under a general matrix model (LG), with gamma-distributed rate variation among sites (G) and the proportion of invariable sites (I). Pedacovirus subgenus is highlighted in green. | PMC9505981 | viruses-14-01899-g002.jpg |
0.399798 | 2bd7922b7e504bfc98023fd3d4fbb84c | Astrovirus. Phylogenetic trees of representative sequences of astrovirus in (A) a 260 a.a region of ORF1b and (B) a 564 a.a region of the capsid protein. Both trees were inferred under an LG + I + G model. | PMC9505981 | viruses-14-01899-g003.jpg |
0.477125 | 4f9fe7556ba140139c986d167e4c61b6 | Mastadenovirus. Phylogenetic tree of a 184 a.a region of the pVI protein of representative sequences of the Mastadenovirus genus. Bayesian inference was based on an LG + I + G model. The three groups of bat mamastroviruses are indicated. | PMC9505981 | viruses-14-01899-g004.jpg |
0.431573 | 3ee6cfa28fec44a09f58e4676c60c74b | Picornavirus. Phylogenetic tree of an 84 a.a region of the peptidase C3 protein. The tree was derived under an LG + I + G model. | PMC9505981 | viruses-14-01899-g005.jpg |
0.412192 | 70b420809d184c6386b7be212cd9c4e2 | Poxvirus. Phylogenetic tree of the nucleotide alignment of a 242 bp region of the DNA-dependent RNA polymerase 132 kDa subunit gene. The inference of the tree was based on a general time-reversible (GTR) model, with gamma-distributed rate variation among sites and the proportion of invariable sites. | PMC9505981 | viruses-14-01899-g006.jpg |
0.395325 | 02cdcb9fabc64a84a190b785b53352c9 | Phylogenetics and similarity of the BtMf-Yunnan 2020 genome. (A) A phylogenetic tree was inferred from the alignment of the nucleotide sequences of the alphacoronavirus genomes (23,544 bp). The inference was based on a GTR + I + G model. Alphacoronavirus subgenera are indicated. (B) Similarity profile of myotacovirus sequences to the BtMf-Yunnan2021 genome. | PMC9505981 | viruses-14-01899-g007.jpg |
0.444055 | 08955f3101794db6b3ef500c901d664d | Spike recombination. Bootstrap support for recombination in subunit 1 of the spike protein of BtMf-Yunnan2020. The recombination involves the first 750 nucleotides of the spike (shaded area). The BtMr-SAX2011 spike was identified as the minor parent in this recombination. | PMC9505981 | viruses-14-01899-g008.jpg |
0.458997 | 3edc21c1a70c442ea97682cf421c29a3 | Inter-host diversity of the BtMf-Yunnan2020 genome. (A) Identity and breadth of coverage of BtMf-Yunnan2020 sequences in six individuals of M. fimbriatus. (B) Expansion in the myotacovirus subclade of a phylogenetic tree inferred from a 5 kb region of alphacoronavirus ORF1b; four consensus sequences from individuals were included in this analysis; statistical support is indicated. | PMC9505981 | viruses-14-01899-g009.jpg |
0.446977 | ae2152fc43d34ac5bf3e10108da07c69 | Kaplan–Meier curve of the 30-day survival rate according to COVID-19 status, CCI score, and comorbidities. The green line is patients who have that variable, and the blue line is patients without that variable. (a) COVID-19 status (log-rank p ≤ 0.01; (b) comorbidities (log-rank p ≤ 0.01); and (c) CCI > 3 (log-rank p ≤ 0.01). | PMC9506116 | jcm-11-05292-g001.jpg |
0.450293 | 22ff26a710e640e3b93bc2cc7ba6ecf3 | Kaplan–Meier curve of the 30-day survival rate of comorbidity in geriatric patients. The green line indicates patients with comorbidities, and the blue line indicates patients with no comorbidities. (a) Moderate-to-severe renal disease (log-rank p ≤ 0.01); (b) cerebrovascular disease (log-rank p ≤ 0.01); (c) diabetes with chronic complications (log-rank p = 0.03); (d) metastatic solid tumor (log-rank p = 0.02); (e) dementia (log-rank p ≤ 0.01), and (f) rheumatologic disease (log-rank p = 0.03). | PMC9506116 | jcm-11-05292-g002.jpg |
0.507232 | 34db043dcb994793aa64ea5911d1089a | Phylogenetic tree for Umbelopsis based on a combined data matrix comprised alignments of nSSU, ITS, nLSU, act1, MCM7 and cox1 generated from Bayesian analyses with Mortierella as outgroups. Values above the branches represent significant Bayesian posterior probability values (BPP ≥ 0.95), and values below the branches are maximum likelihood bootstrap proportion (MLBP ≥ 70%) and maximum parsimony bootstrap support values (MPBS ≥ 70%). Branches in bold indicate strong support (MLBP: 100%, MPBS: 100%, BPP: 1.00). Missing or weakly supported nodes (MLBP < 70%, MPBS < 70% or BPP < 0.95) are denoted by a minus sign “−”. The bar at the lower left indicates 0.02 expected changes per site. The new species are highlighted in green and blue. The sporangiospores of novel species established in this study are illustrated on the right side of the tree (scale bar = 5 µm) and correlated with each clade of the U. ramanniana complex using the same clade numbers. U. = Umbelopsis. T = ex-type strain, ET = ex-epitype strain and HT = ex-holotype strain. | PMC9506118 | jof-08-00895-g001.jpg |
0.445632 | 8175967f74614226bcb754e309bb7853 | Umbelopsis curvata. (A–C) Branched sporangiophores. (D) Branch point of sporangiophore. (E) Sporangium at tip of sporangiophore. (F–H) Various shapes of collars and columellae at sporangiophore tips after the sporangia have been dissolved. (I, J) Sporangiospores. (K) Macro-chlamydospores. (L) Micro-chlamydospore. | PMC9506118 | jof-08-00895-g002.jpg |
0.436162 | b08aecf5f1cb44799134678b17d183c3 | Umbelopsis dura. (A) The main branching pattern of sporangiophore. (B) Branch point of sporangiophore. (C) Sporangium at tip of sporangiophore. (D–H) Various shapes of collars and columellae at sporangiophore tips after the sporangia have been dissolved. (I) Sporangiospores. (J,K) Micro-chlamydospores. (L) Macro-chlamydospore. | PMC9506118 | jof-08-00895-g003.jpg |
0.439134 | 8c62aaf14e7b4b6d942ee8c58160028a | Umbelopsis macrospora. (A,B) Branched sporangiophores. (C) Sporangium at tip of sporangiophore. (D) Branch point of sporangiophore. (E–I) Various shapes of collars and columellae at sporangiophore tips after the sporangia have been dissolved. (J,K) Sporangiospores. (L) Micro-chlamydospores. | PMC9506118 | jof-08-00895-g004.jpg |
0.48049 | f2c757ce55564ee7b5b8a01d1071eb97 | Umbelopsis microsporangia. (A,B) Branched sporangiophores. (C) Sporangium at tip of sporangiophore. (D,H) Branch point of sporangiophore. (E–G) Various shapes of collars and columellae at sporangiophore tips after the sporangia have been dissolved. (I,J) Sporangiospores. (K,L) Micro-chlamydospores. | PMC9506118 | jof-08-00895-g005.jpg |
0.437365 | 1658f24464ee40118ef4e192240ec343 | Umbelopsis oblongielliptica. (A,B) Branched sporangiophores. (C–G) Various shapes of collars and columellae at sporangiophore tips after the sporangia have been dissolved. (H) Branch point of sporangiophore. (I) Sporangiospores. (J–M) Various macro-chlamydospores. (K). Mature macro-chlamydospores, (L). Immature macro-chlamydospores, (M). Broken macro-chlamydospore spilling oil droplets. (N). Micro-chlamydospores. | PMC9506118 | jof-08-00895-g006.jpg |
0.450277 | 43839b34ab9946d98aad29b96dfab436 | Umbelopsis ramanniana. (A,B) Branched sporangiophores. (C–G) Various shapes of collars and columellae at sporangiophore tips after the sporangia have been dissolved. (H,I) Branch point of sporangiophore. (J) Sporangiospores. (K) Macro-chlamydospores. (L) Micro-chlamydospores. | PMC9506118 | jof-08-00895-g007.jpg |
0.388292 | 30629fe3bf7a4721b4e89236e0c3b729 | Effects of melatonin and nitrate oxide on the appearance of cucumber seedlings and photosynthesis capacity. (a) Appearance of seedlings. (b) Photosynthesis capacity, including Pn, net photosynthetic rates. Gs, stomatal conductance. Ci, intercellular CO2 concentration. Tr, transpiration rate. Error bars represent standard deviations of the means of three independent replicates. Different letters indicate significant differences between treatments by Duncan’s multiple range test (p < 0.05). | PMC9506230 | molecules-27-05806-g001.jpg |
0.495581 | bbbd2fe7ea174f879be28e3f5a0b1ffe | Effects of MT and NO on mineral elements content of cucumber seedlings under nitrate stress. (a) Potassium (K). (b) Calcium (Ca). (c) Magnesium (Mg). (d) Iron (Fe). Error bars represent standard deviations of the means of three independent replicates. Different letters indicate significant differences between treatments by Duncan’s multiple range test (p < 0.05). | PMC9506230 | molecules-27-05806-g002.jpg |
0.463595 | 0d37898fdcb24f8db0a2f39580114470 | Effects of melatonin and nitric oxide treatments on growth parameters of cucumber seedlings under nitrate stress. (a) Changes of seedling height. (b) Changes of stem diameter. (c) Changes of leaf area. (d) Root activity. (e) Root average diameter. (f) Total root length. (g) Number of lateral roots. (h) Total root surface area. (i) Total root volume. (j) Appearance of seedlings. (k) Fresh weight. (l) Dry weight. Different letters indicate significant differences between treatments by Duncan’s multiple range test (p < 0.05). | PMC9506230 | molecules-27-05806-g003.jpg |
0.388518 | b4cd3ff5ae54464b8e19ae0ae404074c | Effects of melatonin and nitric oxide on the pigments content and chlorophyll fluorescence characteristics of cucumber seedlings under nitrate stress. (a) Pigments content. (b) Effective quantum yield of photochemical energy conversion in PSII (YII). (c) Electron transport rate (ETR). (d) Non-photochemical quenching (NPQ). Error bars represent standard deviations of the means of three independent replicates. Different letters indicate significant differences between treatments by Duncan’s multiple range test (p < 0.05). | PMC9506230 | molecules-27-05806-g004.jpg |
0.535316 | 325995c0781541949c1d5f9979c8bedf | Effects of MT and NO on accumulation of mineral elements of cucumber seedlings under nitrate stress. (a) Potassium (K). (b) Calcium (Ca). (c) Magnesium (Mg). (d) Iron (Fe). Error bars represent standard deviations of the means of three independent replicates. Different letters indicate significant differences between treatments by Duncan’s multiple range test (p < 0.05). | PMC9506230 | molecules-27-05806-g005.jpg |
0.433136 | b3b99ffc0d9846f6814654faa34e47fc | Effect of MT and NO on the endogenous content of MT (a), IAA (b), NO (c) and ABA (d) in the roots of cucumber seedlings under nitrate stress. Error bars represent standard deviations of the means of three independent replicates. Different letters indicate significant differences between treatments by Duncan’s multiple range test (p < 0.05). | PMC9506230 | molecules-27-05806-g006.jpg |
0.436997 | b6a43ab31fc24bec82368cb36e14885b | Effects of MT and NO treatments on expression of genes involved in MT metabolism (a), Nitrogen metabolism (b), ABA metabolism (c), Root growth and IAA transport (d) in roots of cucumber seedlings. Error bars represent standard deviations of the means of three independent replicates. Different letters indicate significant differences between treatments by Duncan’s multiple range test (p < 0.05). | PMC9506230 | molecules-27-05806-g007.jpg |
0.392665 | 370e5013e42446e08ac221d6a4577d94 | Percentage of correct answers by knowledge domains of CKD. | PMC9506610 | pone.0274038.g001.jpg |
0.447387 | f22aa836cc2b4785bcad79bcfb50b6f5 | Movements of Cambodian cattle (left) and pigs (right) from province of origin to slaughterhouses in Phnom Penh (black dots and province names represent animal origins) | PMC9508002 | 11250_2022_3309_Fig1_HTML.jpg |
0.383689 | 0f0f2ec3e76b41b991ff74b32b7ad764 | CPNN architecture and implementation.a Layout of the proposed CPNN, (b) a close-up view of its integrated photonic part based on the dual-IQ coherent linear neuron architecture, with the electro-photonic activation function module being highlighted with the red-dashed box and c the layout of the integrated 4-fan-in dual-IQ coherent linear neuron. | PMC9508134 | 41467_2022_33259_Fig1_HTML.jpg |
0.426343 | 08b4249fbfb14b0fbe543313cbc6a287 | Silicon photonic neuron.a Photo of the packaged Si-Pho coherent neuron, b Microscope top-view photo of the SiPho chip, with the utilized part of the circuit highlighted in red and c Frequency response of the push-pull traveling-wave MZM, revealing a 3 dB bandwidth of 7 GHz. | PMC9508134 | 41467_2022_33259_Fig2_HTML.jpg |
0.487582 | 49781e9c094c4716b7e12c6eb60592e8 | Experimental results for MNIST classification.a–g Time traces from the experimental evaluation of MNIST classification task on CPNN architecture illustrating the expected and the received signals, h–j noise distribution bar charts of each dot product Σi and the respective fitting with the Gaussian distribution and k accuracy and SNR measurements at 5 and 10GMAC/sec/axon. | PMC9508134 | 41467_2022_33259_Fig3_HTML.jpg |
0.461826 | 5220abe57cab4c4eb62b790520a36c81 | Experimental results for noise-aware training.a The modified photonic part of CPNN that incorporates AWGN sources on each xi signal, b, d, f time trace and c, e, g noise distribution with the respective Gaussian fitting for : (i) the baseline model and 0 dBm at the Rx input, (ii) the baseline model and −7dBm at the Rx (iii) noise-aware model −7dBm at the Rx. | PMC9508134 | 41467_2022_33259_Fig4_HTML.jpg |
0.489024 | 8dcddab396ad4abda31eaf9cdc2b7cb6 | noise-aware training: simulation vs experiment.Accuracy on MNIST classification task versus noise standard deviation at a 5 and b 10GMAC/sec/axon. The solid lines represent the numerically simulated results and the points the experimentally acquired measurements. | PMC9508134 | 41467_2022_33259_Fig5_HTML.jpg |
0.514092 | 3b2c0856d1164de4bdfb929116cbed36 | CPNN vs state-of-the-art.Reported performance of the state-of-the-art Nvidia DGX-A100 and few experimentally demonstrated coherent linear neuron engines in terms of line rate and classification accuracy. | PMC9508134 | 41467_2022_33259_Fig6_HTML.jpg |
0.391526 | 584d212f29914bafa194f9b8a31134dc | miR-452-5p is promising for HCC diagnosis and prognosis. (a) Scatter plots show relative miR-452-5p level in healthy and HCC samples accessed. (b, c) Overall and disease-free survival analyses. (d) ROC analysis. (e) ISH staining images of miR-452-5p expression. ∗∗P < 0.01. Scale bar: 100 μm. | PMC9508462 | JIR2022-1032106.001.jpg |
0.441438 | b01915997eee427ea0c4decf7eedbdb2 | miR-452-5p inhibition suppressed HCC cell migration and invasion. (a) miR-452-5p expression in HCC cells and normal human epithelial cells. (b) miR-452-5p was successfully inhibited by the miR-inhibitor. (c, d) CCK-8 assay and EdU staining of HCC cells with and without miR-452-5p inhibition. Optical density (OD) was measured at 24, 48, and 72 h after transfection. (e) Apoptosis rate was analyzed by flow cytometry. (f, g) Migration and invasion were detected by Transwell assay. ∗∗P < 0.01. | PMC9508462 | JIR2022-1032106.002.jpg |
0.483417 | 330b0b68e8c549da90653202963620d5 | miR-452-5p mainly reside in HCC cells-derived exosomes. (a) miR-452-5p in the culture medium of normal epithelial cells and HCC cells. (b) miR-452-5p were encapsulated protected from RNase. (c, d) TEM and WB validation of purified exosomes from SNU-182 and Huh-7 cells. (e) miR-452-5p in HCC cells treated with GW4869 or purified exosomes are analyzed by qRT-PCR. ∗∗P < 0.01. Scale bar: 200 nm. | PMC9508462 | JIR2022-1032106.003.jpg |
0.440277 | fb27795a91d243aca6e163d81112fa99 | HCC cells deserved exosomal miR-452-5p induces M2 polarization of macrophages. (a) PKH26-labelled SNU-182-exo and Huh-7-exo. (b) mRNA expression of macrophage markers after coculturing with HCC cell exosome. (c) mRNA expression of M2 macrophage markers. (d) mRNA expression of M2 macrophage markers in macrophages treated with exosomes from miR-452-5p inhibited or overexpressed HCC cells. ∗∗P < 0.01. Scale bar: 100 μm. | PMC9508462 | JIR2022-1032106.004.jpg |
0.440757 | 5fe14e7eab144e50b549d06ca3eb7c5e | HCC cells deserved exosomal miR-452-5p accelerates M2 macrophage polarization to stimulate HCC cell migration, invasion in vitro, and tumorigenesis in vivo. (a) Migration and invasion rates of transfected MHCC97-L cells, M-PBS set up as a negative control. (b) Tumorigenicity of xenograft mice models. (c) Tumor volumes were measured each week for three weeks. (d) Tumor weights were measured after mice were sacrificed. ∗∗P < 0.01. | PMC9508462 | JIR2022-1032106.005.jpg |
0.466154 | fc8f01a1ffe142e4bd3e411461a5d82b | TIMP3 is a target of miR-452-5p in HCC. (a) Venn plot showed the overlapped genes predicted by starBase and TargetScan webtools. (b) Predicted binding sequence of miR-452-5p on TIMP3. (c) A dual-luciferase reporter assay. (d) A dual-luciferase reporter assay was performed to determine the effect of exosomal miR-492-5p on the luciferase activity. (e, f) The expression of both TIMP3 mRNA and protein decreased after overexpressing miR-452-5p in THP-1 cells. (g) mRNA expression of M2 macrophage markers. (h) mRNA expression of M2 macrophage markers in THP-1 cells after different treatment. (i) Cell migration and invasion detected by Transwell assay. ∗∗P < 0.01. | PMC9508462 | JIR2022-1032106.006.jpg |
0.517129 | 4bd33e54dc914a82945efc8f16b5583f | The four classes in Approach#1. | PMC9508566 | gr1.jpg |
0.468535 | 39308421c2f445e7ae8e8b0ee8c2c306 | Flow diagram of the study. PCR = polymerase chain reaction. | PMC9509109 | medi-101-e30819-g001.jpg |
0.38245 | 42447269554547468b4d841076962b79 | Viruses detected on polymerase chain reaction (PCR) testing of bronchoscopic specimens. A total of 27 patients had positive PCR results: 12 patients tested positive for parainfluenza virus, 5 for rhinovirus, 2 for influenza A virus, 2 for enterovirus, 2 for respiratory syncytial virus type B, 1 for coronavirus 229E/NL63, 1 for metapneumovirus, and 2 for co-infections of parainfluenza virus and rhinovirus. | PMC9509109 | medi-101-e30819-g002.jpg |
0.412483 | bde11cc97e134118a40e47fbfa6255a4 | Identification of DEGs (a) Volcano plots and heatmaps of DEGs in the GSE17025 dataset. (b) Volcano plots and heatmaps of DEGs in the GSE63678 dataset. (c) Volcano plots and heatmaps of DEGs in the TCGA-UCEC dataset. (d) co-up-regulated DEGs in the GSE63678, GSE17025, and TCGA-UCEC datasets by the Venn diagram tool. (e) co-down-regulated DEGs in the GSE63678, GSE17025, and TCGA-UCEC datasets by the Venn diagram tool. DEGs, differentially expressed genes. | PMC9509287 | GR2022-3217248.001.jpg |
0.405287 | c188081f86b2443ab63d0d486613e874 | Functional enrichment analysis (a) Enriched GO terms in the BP category. (b) Enriched GO terms in the CC category. (c) Enriched GO terms in the MF category. (d) Enriched KEGG terms. GO, gene ontology; BP, biological process; CC, cellular component; MF, molecular function; KEGG, kyoto encyclopedia of genes and genomes. | PMC9509287 | GR2022-3217248.002.jpg |
0.401208 | 99a4330c366345f4b4662c07af105b87 | Protein-protein interaction network is constructed by the DEGs. DEGs, differentially expressed genes. | PMC9509287 | GR2022-3217248.003.jpg |
0.431352 | 3ecd0e7ff5dd48ab8347d1921a27779d | The 10 hub genes mRNA expression level in UCEC (a) The 10 hub genes mRNA expression level in UCEC tissues (n = 552) and normal tissues (n = 35) in the TCGA-UCEC database. (b) The 10 hub genes mRNA expression level in UCEC tissues (n = 23) and matched adjacent normal tissues (n = 23) in the TCGA-UCEC database. (c) The 10 hub genes mRNA expression level in UCEC tissues (n = 174) and normal tissues (n = 91) in the GEPIA database; we use log2(TPM + 1) for log-scale, and red represents UCEC tissues and gray represents normal tissues. UCEC, uterine corpus endometrial carcinoma. | PMC9509287 | GR2022-3217248.004.jpg |
0.415107 | 3bba31324e044bdd8cd601859c750528 | KM survival curve comparing the high and low expression of 10 hub genes in UCEC (a) Overall survival. (b) Disease-specific survival. HR, hazard ratio. | PMC9509287 | GR2022-3217248.005.jpg |
0.384171 | e3e06d1418504ebaadf12fae728e0454 | Protein expression of hub genes in UCEC (a) Representative images of 4 hub genes protein expression in UCEC tissues and normal tissues by HPA website. (b) The comparison of 6 hub genes protein expression between UCEC tissues and normal tissues based on the ULCAN-CPTAC platform. UCEC, uterine corpus endometrial carcinoma; HPA, human protein Atlas; CPTAC, clinical proteomic tumor analysis consortium. | PMC9509287 | GR2022-3217248.006.jpg |
0.414411 | fbce075eac1a4348a1ec2bbccbe141b9 | Association of 6 hub genes expression with clinicopathologic characteristics (a) Clinical stage (normal (n = 23), stage I (n = 342), stage II (n = 51), stage III (n = 130), stage IV (n = 29)). (b) Histologic grade (normal (n = 23), G1 (n = 98), G2 (n = 120), G3 (n = 323)). G grade. | PMC9509287 | GR2022-3217248.007.jpg |
0.447251 | 2920b786bf07468b8feea46a5914a8ab | Receiver operating characteristic curve analysis to predict the diagnosis value of 6 hub genes for UCEC (a) ASPM. (b) CDC20. (c) DLGAP5. (d) BUB1B. (e) CDCA8. (f) NCAPG. | PMC9509287 | GR2022-3217248.008.jpg |
0.386898 | eff8a71f05be46e9bbad97bc758dca5d | The underlying intrinsic pathogeneses of UCEC (a-f) The promoter methylation level of 6 hub genes is based on sample types. (g-l) The expression of 6 hub genes based on TP53 mutation status. (m) Genomic genetic variation in UCEC samples (n = 232). ns, P ≥ 0.05. UCEC, uterine corpus endometrial carcinoma. | PMC9509287 | GR2022-3217248.009.jpg |
0.380135 | 93b14fbcb3c2439195295b9ac3c8e87f | Correlation of immune infiltration and hub genes expression level in UCEC (a) The relationship between the relative abundance of 24 immune cells and hub genes expression level. (b) The relationship between Th2/NK CD56bright cells infiltration and hub genes expression level. UCEC, uterine corpus endometrial carcinoma. | PMC9509287 | GR2022-3217248.010.jpg |
0.477174 | 995cbcf81391427ca7306defaa46d969 | The comparison of hub genes mRNA expression level between tumor tissues and normal tissues in a female reproductive system based on UCSC Xena platform (a) CESC. (b) OV. (c) UCS. CESC, cervical squamous cell carcinoma and endocervical adenocarcinoma; OV, ovarian serous cystadenocarcinoma; UCS, uterine carcinosarcoma. | PMC9509287 | GR2022-3217248.011.jpg |
0.455343 | c283e82b19b047f7a771d745f20107fb | Diagram for study design. *COVID-19 diagnosis made between February 2020 and March 2021.‡Severe COVID-19 defined as either hospitalization within 14 days prior to and 30 days post the COVID-19 diagnosis, or death within 3 months from the COVID-19 diagnosis | PMC9510569 | 12325_2022_2293_Fig1_HTML.jpg |
0.430372 | 763029cf3a744c56a9979104a6b66e83 | Patient selection | PMC9510569 | 12325_2022_2293_Fig2_HTML.jpg |
0.432863 | c2b450f8ed31481e93504f95f423de13 | Identification of study populations. PCR polymerase chain reaction | PMC9510569 | 12325_2022_2293_Fig3_HTML.jpg |
0.447983 | 3a640ad70cc8445eaff4922c4de6e44f | Frequency (%) of underlying medical conditions among patients diagnosed with COVID-19, by condition of interest. All general population of patients with COVID-19, RA rheumatoid arthritis, PsA psoriatic arthritis, AS ankylosing spondylitis, SLE systemic lupus erythematosus, PsO psoriasis, AD atopic dermatitis, CD Crohn’s disease, UC ulcerative colitis, ST solid tumor, HC hematologic cancers, CVD cardiovascular disease, BMI body mass index | PMC9510569 | 12325_2022_2293_Fig4_HTML.jpg |
0.373457 | 6e38cfd9026c4a1ab06accfd2aabaf32 | Distribution of total underlying medical conditions among patients diagnosed with COVID-19, by condition of interest. All general population of patients with COVID-19, RA rheumatoid arthritis, PsA psoriatic arthritis, AS ankylosing spondylitis, SLE systemic lupus erythematosus, PsO psoriasis, AD atopic dermatitis, CD Crohn’s disease, UC ulcerative colitis, ST solid tumor, HC hematologic cancers | PMC9510569 | 12325_2022_2293_Fig5_HTML.jpg |
0.412519 | 7ac0d5eda1b944d584357bb0834c98b9 | Age- and sex-standardized risk of severe COVID-19 outcomes among patients diagnosed with COVID-19, by condition of interest. All general population of patients with COVID-19, RA rheumatoid arthritis, PsA psoriatic arthritis, AS ankylosing spondylitis, SLE systemic lupus erythematosus, PsO psoriasis, AD atopic dermatitis, CD Crohn’s disease, UC ulcerative colitis, ST solid tumors, HC hematologic cancers | PMC9510569 | 12325_2022_2293_Fig6_HTML.jpg |
0.417209 | 7aa855ce04704fc09747d226cdeb376c | Standardized mean difference between disease condition and all patients with COVID-19 before and after adjustment. CCI Charlson comorbidity index, BMI body mass index. The adjusted covariates were with age, gender, race, ethnicity, BMI, region of residence, CCI, diabetes, chronic lung disease, and cardiovascular disease. The dashed line represents SMD = 0.2 | PMC9510569 | 12325_2022_2293_Fig7_HTML.jpg |
0.431093 | b2f7967a0d8f4b7e869ed2f549572ba9 | Risk ratios (and 95% CIs) for severe COVID-19 outcomes by condition of interest, relative to all patients with COVID-19 before and after adjustment. Risk ratios were adjusted for age, gender, race, ethnicity, BMI, region of residence, CCI, diabetes, chronic lung disease, and cardiovascular disease | PMC9510569 | 12325_2022_2293_Fig8_HTML.jpg |
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