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
|
---|---|---|---|---|
0.422466 | 011b4160a0fe4124a439f6ed77f92ae2 | Glucose, Hb1Ac, and free serum insulin. Of all the individuals there is a significant difference between control and diseased group and elevated levels of all the parameters can be observed in DN compared to control and to type 2 diabetes groups. Where p ≤ 0.05. *, **, *** (less, moderate, highly significant) represents the significant difference between groups. | PMC9694611 | medicina-58-01604-g004.jpg |
0.451701 | 318777b7432347c1bf622a81f62fbe77 | Graphical presentation of HDL, LDL, triglyceride, serum creatinine, urinary albumin, and urinary albumin creatinine. Of all the individuals there is a significant difference between control and diseased group. Elevated levels of all the parameters can be observed in DN compared to control and to type 2 diabetes groups. Where p ≤ 0.05. *, **, *** (less, moderate, highly significant) represents the significant difference between groups. | PMC9694611 | medicina-58-01604-g005.jpg |
0.471828 | 482715bd2a6b4276bd0273a5f543cbad | Levels of AOPPS, AGEs, TNFa, GSH, MPO, MDA and IL6 of all the individuals. There is a significant difference between control and diseased groups. Elevated levels of all the stress markers and decreased levels of GSH can be observed in the diseased group compared to control while the stress markers are highly increased in the diabetic nephropathy group. Where p ≤ 0.05. *, **, *** (less, moderate, highly significant) represents the significant difference between groups. | PMC9694611 | medicina-58-01604-g006.jpg |
0.467014 | ae2f3a2be5cc4295ab7cfc712e0f78c4 | PRISMA flowchart of search results at each step of the systematic review | PMC9694921 | 12889_2022_14364_Fig1_HTML.jpg |
0.437102 | f4d4960f8b9e4b58938a7b36086bf5e0 | Flow chart of the study. UCP: Ultrasound cyclo plasty. | PMC9695056 | jcm-11-06770-g001.jpg |
0.541141 | 7d4be9995cf14759aa7501a7a8750eee | Changes in IOP and antiglaucoma medications. | PMC9695056 | jcm-11-06770-g002.jpg |
0.462456 | 3ccc400407884a7ab26d9a477735bd3a | Kaplan–Meier survival curve showing the cumulative probability of success. | PMC9695056 | jcm-11-06770-g003.jpg |
0.445175 | 070c3af8800e476b86a6b07b10960935 | The complex interaction between factors affecting gut microbiota composition, its interaction with bile acids pool, and NAFLD pathogenesis. GI: gastrointestinal; DAMPs: damage associated microbial products; PAMPs: pathogens associated microbial products; NASH: non-alcoholic steatohepatitis. | PMC9695159 | medicina-58-01559-g001.jpg |
0.411627 | 32a154786d924be19992e57e13a4ff0d | Illustration of a three-host ixodid tick life cycle, depicting the risk of infection and transmission of tick-borne rickettsioses (TBR) at each tick stage [20]. During feeding, ticks use the same canal to (1) inject saliva into the host, enabling transmission of Rickettsia, and (2) to acquire blood, providing an entry door for bacteria dissemination. Once reaching the tick midgut, Rickettsia may, depending on factors such as bacterial load and time of feeding, propagate within tick tissues, eventually reaching the ovaries (in adult females) and salivary glands (larvae, nymphs, adults) [10,11]. Transstadial transmission of Rickettsia promotes maintenance of infection in the tick population and transovarial transmission (reported in many Rickettsia spp.) ensures propagation to the next tick generation [6,8]. It is important to note that not all vertebrate hosts present the same potential to maintain infection in nature or tick populations. For example, humans are susceptible hosts to infection but considered dead-end hosts, and ticks do not usually feed on humans [6]. Created with BioRender.com (accessed on 24 October 2022). | PMC9695430 | pathogens-11-01377-g001.jpg |
0.51182 | b9cc8111830f40f69aab3fcc67c4a384 | The Voronoi partition based on the proximity principle (a) and the generalized Voronoi partition based on the shortest time principle (b) (where the blue point “•” represents the position of the robot, and each robot had a different maximum speed vi_max(i∈V)). | PMC9695554 | sensors-22-08938-g001.jpg |
0.490682 | 0184d1161e494def9d0c345fe534f960 | Fixed-time coverage control process of a mobile robot network with respect to the time cost metric. | PMC9695554 | sensors-22-08938-g002.jpg |
0.38578 | 74276fdad0544068a3b0b787e175bb14 | The variation curves of sx, sy, ex and ey of the four robots with respect to time, the variation curves of metric function Ht(P,t) and the comparison of optimization effects with the classic Lloyd algorithm. | PMC9695554 | sensors-22-08938-g003.jpg |
0.418003 | 3ea29ee514e145638ae3da2ac704ab0b | The coverage evolution process of the robot network to the task area, where the blue point “•” represents the position of the robot, and different colors in the area represent different risk degrees. | PMC9695554 | sensors-22-08938-g004.jpg |
0.410331 | d59aa9c549f8427f81f6af1d74fbfe06 | Instructions received about importance of performing pregnancy test (n = 308). | PMC9695977 | medicina-58-01609-g001.jpg |
0.421453 | d847419efd7b420eac9462fd83376e8f | Instructions received about the use of contraceptive methods (n = 308). | PMC9695977 | medicina-58-01609-g002.jpg |
0.491874 | 155f140ca6be4767b3f0e8b8600e334e | (A) AEFI self-reported by participants; (B) statistical analysis was performed using the χ² test to compare the rate of AEFI between the three booster vaccine groups. * p-value < 0.05 (p-value was adjusted by Bonferroni). | PMC9696033 | vaccines-10-01869-g001.jpg |
0.441814 | 5aae992f50a24c7aab6c80018a67d8e3 | Effect of conditioned media on cell viability. Data represent the percentage cell viability of HepG2 and HMC-III cells grown for 48 h in conditioned (HepG2 CM and MG CM, respectively) and own-culture medium (HepG2 Ctr and MG Ctr, respectively). Standard error mean (SEM) was calculated using three replicates of three independent experiments. Statistical significance was assessed by using t-test. ns: not significant p-value. | PMC9696318 | ijms-23-14443-g001.jpg |
0.433831 | a70b8fdf02284e6987604ac65271e456 | Effect of conditioned media on expression level of IRE1α and CHOP. Transcript levels in (a) HepG2 and (b) HMC-III (MG) cells are expressed as 2−ΔCt and presented as the mean ± SEM of at least three different experiments. Protein expression level in (c) HepG2, (d) MG cells; (e,f) representative western blots. The protein levels were normalized with GAPDH or Tubulin content; then, for each cell type grown in conditioned medium (CM), data refer to the corresponding control cells grown in their own culture medium (Ctr), and set to 100%. Results are expressed as the mean ± the standard error of three independent experiments. Statistical analysis was performed by using t-test; * p < 0.05, ** p < 0.01; control (Ctr) cells vs. media conditioned treated (CM) cells; ns: not significant p-value. | PMC9696318 | ijms-23-14443-g002.jpg |
0.486024 | f06a441c8b4847bf99d7593e2ad15377 | Effect of conditioned media on expression levels of PARKIN and PINK1. Transcript levels in (a) HepG2 and (b) HMC-III (MG) cells are expressed as 2−ΔCt and presented as the mean ± SEM of at least three different experiments. The protein expression level in (c) HepG2, (d) MG cells; (e,f) are representative western blots. The protein levels were normalized with GAPDH or Tubulin content; then, for each cell type grown in conditioned medium (CM), data refer to the corresponding control cells grown in their own culture medium (Ctr), set to 100%. Results are expressed as the mean ± the standard error of three independent experiments. Statistical analysis was performed by using t-test; ** p < 0.01, *** p < 0.001, control (Ctr) cells vs. media conditioned treated (CM) cells; ns: not significant p-value. | PMC9696318 | ijms-23-14443-g003.jpg |
0.49465 | f6d45ad13d3945229734564289f26284 | Effect of conditioned media on protein levels of LC3 A/B I and LC3 A/B II. The protein levels of (a) HepG2 and (b) HMC-III (MG) cells were normalized with GAPDH content; then, for each cell type grown in conditioned medium (CM), data refer to the corresponding control cells grown in their own culture medium (Ctr), set to 100%. (c,d) The LC3II/I ratio for each cell types. (e) Representative western blots. Densitometric analysis of the immunoreactive bands performed in three independent experiments and results are expressed as the mean ± the standard error. Statistical analysis was performed by using t-test; * p < 0.05, ** p < 0.01; control (Ctr) cells vs. media conditioned treated (CM) cells; ns: not significant p-value. | PMC9696318 | ijms-23-14443-g004.jpg |
0.4902 | 8f7e4fa8b6124a73bf88683750303b85 | Effect of conditioned media on expression levels of iNOS, Nrf2, NFkB, and TNFR2. Transcript levels of (a) iNOS, (b) Nrf2, (c,d) NFkb and TNFR2 were evaluated in HepG2 and HMC-III cells grown for 48 h in conditioned (HepG2 CM and MG CM, respectively) and own-culture medium (HepG2 Ctr and MG Ctr, respectively). Results are expressed as 2−ΔCt and presented as the mean ± SEM of at least three different experiments. Statistical analysis was performed by using t-test; * p < 0.05, ** p < 0.01; control (Ctr) cells vs. media-conditioned (CM) cells; ns: not significant p-value. | PMC9696318 | ijms-23-14443-g005.jpg |
0.451272 | 94e2f66fc85344b9869b5513d2dbad12 | Effect of conditioned media on expression levels of p53 and p21. Transcript and protein expression levels were evaluated in HepG2 (a,c) and HMC-III cells (b,d) grown for 48 h in conditioned (HepG2 CM and MG CM, respectively) and own-culture medium (HepG2 Ctr and MG Ctr, respectively). Transcript levels are expressed as 2−ΔCt and presented as the mean ± SEM of at least three different experiments. The protein levels were normalized with GAPDH; then, for each cell-type grown in conditioned medium (CM), data refer to the corresponding control cells grown in their own culture medium (Ctr), set to 100%. (e,f) Representative western blots. Results are expressed as the mean ± the standard error of three independent experiments. Statistical analysis was performed by using t-test; * p < 0.05, ** p < 0.01; control (Ctr) cells vs. media conditioned (CM) cells; ns: not significant p-value. | PMC9696318 | ijms-23-14443-g006.jpg |
0.441318 | bd5c0a519dd2480c8ce870348fb78011 | NO conversion obtained for the samples. | PMC9696415 | materials-15-07884-g001.jpg |
0.433685 | 36a97bb7b6fe4521a38f3618c125b147 | N2O concentration emitted during catalytic reaction over the samples. | PMC9696415 | materials-15-07884-g002.jpg |
0.479235 | 4c78dc8dd07b4b0d96d0cc19addf0bbd | XRD diffractograms obtained for the samples. | PMC9696415 | materials-15-07884-g003.jpg |
0.44532 | 50281cd3ba3a421087d665b37126eacc | Low-temperature N2 sorption isotherms obtained for the samples (for better visibility, the isotherms were shifted by the values given in the figure). | PMC9696415 | materials-15-07884-g004.jpg |
0.426669 | 6e3f6b86a6674fd899e769f62589664c | SEM images of non-modified clinoptilolite. | PMC9696415 | materials-15-07884-g005.jpg |
0.482289 | 0273b2fe0d494d1e949f365ec6b79f76 | SEM images of non-supported hydrotalcite (HT) and clinoptilolite samples covered with hydrotalcite at different levels of coverage. | PMC9696415 | materials-15-07884-g006.jpg |
0.490701 | 6d26cd2e6bc444138262138bed5350ca | FT-IR spectra recorded for the investigated samples. | PMC9696415 | materials-15-07884-g007.jpg |
0.47659 | ba22451b0b824df8bb44a44403f60458 | TGA profiles recorded for non-supported hydrotalcite (a) and hydrotalcite co-precipitated on the surface of clinoptilolite within 30–800 °C: HT_Clin 20 (b), HT_Clin 25 (c), HT_Clin 30 (d). | PMC9696415 | materials-15-07884-g008a.jpg |
0.50998 | 3ae693166b09410d931f92515a86072f | UV-Vis-DRS spectra recorded for (a) raw and protonated clinoptilolite and (b) non-supported and clinoptilolite-supported hydrotalcite. | PMC9696415 | materials-15-07884-g009a.jpg |
0.426533 | 777504045c6541e09c9930824e19f73e | TG-DTA diagrams of Zn0.6Co0.4Fe2O4@SiO2, Ni0.1Zn0.5Co0.4Fe2O4@SiO2, Ni0.2Zn0.4Co0.4Fe2O4@SiO2, Ni0.3Zn0.3Co0.4Fe2O4@SiO2, Ni0.4Zn0.2Co0.4Fe2O4@SiO2, Ni0.5Zn0.1Co0.4Fe2O4@SiO2 and Ni0.6Co0.4Fe2O4@SiO2 samples. | PMC9696630 | ijms-23-14167-g001.jpg |
0.500335 | 9583b12a616143c59c9aed42daa55c65 | FT-IR spectra of Zn0.6Co0.4Fe2O4@SiO2 (1) Ni0.1Zn0.5Co0.4Fe2O4@SiO2 (2), Ni0.2Zn0.4Co0.4Fe2O4@SiO2 (3), Ni0.3Zn0.3Co0.4Fe2O4@SiO2 (4) Ni0.4Zn0.2Co0.4Fe2O4@SiO2 (5) Ni0.5Zn0.1Co0.4Fe2O4@SiO2 (6) and Ni0.6Co0.4Fe2O4@SiO2 (7) samples at 40 and 200 °C. | PMC9696630 | ijms-23-14167-g002.jpg |
0.443335 | b8120c9214a94659a070ca1f73b6ba21 | FT-IR spectra (a) and XRD patterns (b) of Zn0.6Co0.4Fe2O4@SiO2 (1), Ni0.1Zn0.5Co0.4Fe2O4@SiO2 (2), Ni0.2Zn0.4Co0.4Fe2O4@SiO2 (3), Ni0.3Zn0.3Co0.4Fe2O4@SiO2 (4), Ni0.4Zn0.2Co0.4Fe2O4@SiO2 (5), Ni0.5Zn0.1Co0.4Fe2O4@SiO2 (6) and Ni0.6Co0.4Fe2O4@SiO2 (7) samples at 1000 °C. | PMC9696630 | ijms-23-14167-g003.jpg |
0.552819 | 62ae8bff786e4bd49b04a22ea7c3c00b | TEM images of Zn0.6Co0.4Fe2O4@SiO2 (1), Ni0.1Zn0.5Co0.4Fe2O4@SiO2 (2), Ni0.2Zn0.4Co0.4Fe2O4@SiO2 (3), Ni0.3Zn0.3Co0.4Fe2O4@SiO2 (4), Ni0.4Zn0.2Co0.4Fe2O4@SiO2 (5), Ni0.5Zn0.1Co0.4Fe2O4@SiO2 (6) and Ni0.6Co0.4Fe2O4@SiO2 (7) samples at 1000 °C. | PMC9696630 | ijms-23-14167-g004.jpg |
0.407799 | 31df2d33e23c400c9b57e478a3a7b01f | (a) UV-Vis absorption spectra and (b) Tauc’s plot of the of Zn0.6Co0.4Fe2O4@SiO2 (1), Ni0.1Zn0.5Co0.4Fe2O4@SiO2 (2), Ni0.2Zn0.4Co0.4Fe2O4@SiO2 (3), Ni0.3Zn0.3Co0.4Fe2O4@SiO2 (4), Ni0.4Zn0.2Co0.4Fe2O4@SiO2 (5), Ni0.5Zn0.1Co0.4Fe2O4@SiO2 (6) and Ni0.6Co0.4Fe2O4@SiO2 (7) samples at 1000 °C. | PMC9696630 | ijms-23-14167-g005.jpg |
0.423463 | 477779b4d695430bb54e00d5ce67e70c | Removal rate of Zn0.6Co0.4Fe2O4@SiO2 (1), Ni0.1Zn0.5Co0.4Fe2O4@SiO2 (2), Ni0.2Zn0.4Co0.4Fe2O4@SiO2 (3), Ni0.3Zn0.3Co0.4Fe2O4@SiO2 (4), Ni0.4Zn0.2Co0.4Fe2O4@SiO2 (5), Ni0.5Zn0.1Co0.4Fe2O4@SiO2 (6) and Ni0.6Co0.4Fe2O4@SiO2 (7) samples. | PMC9696630 | ijms-23-14167-g006.jpg |
0.410602 | f9c51f74b5564818b58a80e67d8da2fd | Photodegradation kinetics of RhB in the presence of Ni0.3Zn0.3Co0.4Fe2O4@SiO2. | PMC9696630 | ijms-23-14167-g007.jpg |
0.421587 | 57538cf137854fb88aa20977b36fd268 | The amino acid sequence analysis of MdPP2C24/37. (A) Both MdPP2C24/37 were predicted to have PP2C catalytic domains. (B) Sequence analysis indicated that MdPP2C24/37 are highly conserved proteins analogous to proteins in Arabidopsis thaliana, Arabidopsis lyrata subsp. Lyrata, Arachis ipaensis, Brassica napus, Cicer arietinum, Eutrema salsugineum, Glycine max, Rosa chinensis, Prunus persica, Prunus avium, and Prunus dulcis. | PMC9696740 | ijms-23-14375-g001.jpg |
0.406293 | d8aaf3210781418796e54c5a67d7821e | Nucleus-located genes MdPP2C24/37 were induced by ABA or mannitol. (A) Subcellular localization of MdPP2C24/37-GFP fusion proteins in tobacco protoplasts. 35S::GFP alone or MdPP2C24/37-GFP correspond to chlorophyll and bright field images, respectively, and the superposition of fluorescent illumination, chlorophyll, and bright field images is shown. (B) Real-time qPCR analysis of MdPP2C24/37 expression in apple leaves. Total RNA was isolated from the ABA- or mannitol-treated apple leaves and used for real-time qPCR. Results represent mean ± SE from three independent experiments, with similar results obtained. Values were significantly different from WT at * p < 0.05, ** p < 0.01 or *** p < 0.001. | PMC9696740 | ijms-23-14375-g002.jpg |
0.410779 | 7b85210f2259476490d839fa8cd218a4 | Phenotypic analysis of overexpression of MdPP2C24/37 in Arabidopsis revealed a hyposensitive phenotype to ABA at the seed germination stage. (A) Representative images of seed germination. (B) Statistical analysis of seed germination rate. (C) Cotyledon greening rate in WT and transgenic lines 6 days after seeds were sown in MS medium supplemented with 0, 0.5, and 1 μM ABA. Results represent the mean ± SD from 3 independent experiments. (D) Real-time qPCR analysis of stress-responsive gene expression changes in MdPP2C24/37 overexpression lines in Arabidopsis. The expression levels were based on total RNA extracted from WT and MdPP2C24/37 overexpression lines in liquid MS medium, or liquid MS medium supplemented with 50 μM ABA for 3 h. Results represent the mean ± SE from 3 independent experiments. The expression levels are presented as relative units, with levels under control conditions taken as 1. All experiments were replicated three times with similar results. Values were significantly different from WT at * p < 0.05, ** p < 0.01 or *** p < 0.001. | PMC9696740 | ijms-23-14375-g003.jpg |
0.433502 | 83bac0735aa541d88a889d55b09f0686 | The MdPP2C24/37 overexpression lines in Arabidopsis displayed decreased drought stress tolerance compared to WT. (A,B) Stomatal aperture assay induced by ABA of MdPP2C24/37 overexpression lines in Arabidopsis. (A) Representative images of stomatal aperture and (B) statistical analysis of stomatal aperture width/length. Values represent the mean ± SD from three independent experiments; n = 80 per experiment. (C) Drought tolerance assay of WT and MdPP2C24/37 overexpression lines. Three-week-old plants were exposed to drought stress for 15 days and then rewatered for three days. Values represent the mean ± SD from three independent experiments; n = 48 per experiment. (D) Water loss rates during 3 h period in detached leaves of WT and MdPP2C24/37 overexpression lines. Values represent the mean ± SD of five individual plants per genotype. (E–G) Plants of all genotypes subjected to drought through withholding of water for 12 days. (E) Chlorophyll (F) MDA, and (G) H2O2 levels were measured. Results represent the mean ± SD from three independent experiments, with similar results obtained. Values were significantly different from WT at * p < 0.05, ** p < 0.01 or *** p < 0.001. | PMC9696740 | ijms-23-14375-g004.jpg |
0.410904 | 74df6a1f74a24bd0a4dcde60b75e617d | Phenotypic analysis of MdPP2C24/37 overexpression lines in Arabidopsis, which caused a hyposensitive phenotype to mannitol at the seed germination stage. (A) Representative images of seed germination. (B) Statistical analysis of seed germination rate. (C) Cotyledon greening rates of WT and transgenic lines 6 days after seeds were sown in MS medium supplemented with 0, 200, and 300 mM mannitol. Results represent the mean ± SD from 3 independent experiments. (D) Real-time qPCR analysis of stress-responsive gene expression changes in the MdPP2C24/37 overexpression lines in Arabidopsis. The expression levels were based on total RNA extracted from WT and transgenic Arabidopsis in liquid MS medium, or liquid MS medium supplemented with 200 Mm mannitol for 3 h. The expression levels are presented as relative units, with levels under control conditions taken as 1. Results represent the mean ± SE from 3 independent experiments, with similar results obtained. Values were significantly different from WT at * p < 0.05, ** p < 0.01 or *** p < 0.001. | PMC9696740 | ijms-23-14375-g005.jpg |
0.437261 | b434de3203874fd6b45d50eccc36c3dd | MdPP2C24/37 interacted with MdPYL2/12 in vitro and vivo. (A) MdPP2C24/37 interacted with MdPYL2/9/12 in the yeast two-hybrid assay. AD–MdPP2C24/37 fusion prey vectors were co-transformed with BD–MdPYL2/9/12/PYR1 fusion bait vectors into yeast cells. Positive interactions were indicated by the ability of cells to grow on SD/−Leu/−Trp/−His/−Ade dropout medium. Empty AD prey vector and BD bait vectors were used as negative controls. (B) MdPP2C24/37 interacted with MdPYL2/12 in the bimolecular fluorescence complementation (BiFC) assay, showing fluorescence in nuclei of tobacco leaf epidermal cells. The C-terminus part of YFP was fused to MdPP2C24/37, and the N-terminus part of YFP was fused to MdPYL2/12. All experiments were replicated three times, with the same results obtained. | PMC9696740 | ijms-23-14375-g006.jpg |
0.425732 | e3cbf8cb761c473fa3cdb0f70e79820f | Comparison of 25(OH)D levels before and after the COVID-19 pandemic. These were compared by (A) gender and (B) age group. | PMC9696842 | nutrients-14-04863-g001.jpg |
0.533543 | 40caf7f6297d474bbaf90072154775d9 | Changes in the prevalence of deficiency (<20 ng/mL), insufficiency (20–29.9 ng/mL), and sufficiency (≥30 ng/mL) of vitamin D by gender after the COVID-19 pandemic. | PMC9696842 | nutrients-14-04863-g002.jpg |
0.424561 | 8857f15f71b44ef9a2f23a46d57a5770 | Soil P concentration and trait distributions. (a) Soil P concentration of the seven macro-environments, (b) distribution of days to anthesis (DTA), and (c) yield in these macro-environments. Multiple comparisons with letters were made by the least significant difference method at the significance level of 0.05. | PMC9697416 | ijms-23-13943-g001.jpg |
0.472166 | 30edc74ded9643fab5ee5a17a7a8b23f | Molecular analysis of the maize population. (a) Decay of linkage disequilibrium with physical distance. (b) Neighbor-joining tree of the 234 doubled haploid lines from six families and (c) principal component analysis plots of the first three main components. | PMC9697416 | ijms-23-13943-g002.jpg |
0.405497 | b794329d02a240c288860d83c31662ba | Environment effect and genotype plasticity. Finlay–Wilkinson regression analysis for (a) DTA and (b) yield. Only the four lines with the two highest and lowest linear plasticity values for the trait are shown. The dashed lines represent the slope (linear plasticity) of individual genotypes; the greater the slope, the greater the linear plasticity of the plant. The solid blue line represents a slope of one. | PMC9697416 | ijms-23-13943-g003.jpg |
0.462127 | 8e1b3377c58841788962df9dc14599d8 | Contribution of different gene regions to genotypic performance and plasticity. Proportion of (a) phenotypic and (b) genetic variance explained by SNPs in six categories: 2 kb upstream, 5′ UTR, CDS, 3′ UTR, 2 kb downstream and intergenic, shown for the BLUE across seven environments, the non-linear plasticity, and the linear plasticity. DTS, days to silking; DTH, days to heading; DTA, days to anthesis; ASI, anthesis-silking interval; PH, plant height; EH, ear height; ELL, ear leaf length; ELW, ear leaf width; ELO, ear leaf order; EL, ear length; ED, ear diameter; RNPE, row number per ear; KNPR, kernel number per row; HGW, hundred-grain weight; Yield, yield per hectare. The black point indicate each value of trait. The red points indicate mean values. | PMC9697416 | ijms-23-13943-g004.jpg |
0.470895 | f1380a427247425fb2bb5715f95c68ee | QTL mapping for 15 traits for the genotypic performance (BLUE) across seven environments, the non-linear plasticity, and the linear plasticity. (a) Venn diagram showing overlapping and specific QTL. (b) Trait-QTL network. The different colors represent different traits and QTL. (c) Identification of the gene Zm00001eb258520 as a candidate for QTL64 (chromosome 5: 223.44–223.64 Mb) detected for RNPE in the P-stress environment SZ.2019.P0. (d) Identification of the gene Zm00001eb265410 as a candidate for QTL65 (chromosome 6: 30.75–37.44 Mb) detected for DTS in the P-stress environment SZ.2019.P0. DTS, days to silking; DTH, days to heading; DTA, days to anthesis; ASI, anthesis-silking interval; PH, plant height; EH, ear height; ELL, ear leaf length; ELW, ear leaf width; ELO, ear leaf order; EL, ear length; ED, ear diameter; RNPE, row number per ear; KNPR, kernel number per row; HGW, hundred-grain weight; Yield, yield per hectare. | PMC9697416 | ijms-23-13943-g005.jpg |
0.40698 | 053f3ae983b344439699b4b37c8df4e6 | QTL mapping for main and locus-by-environment interactions. (a) Venn diagram of main QTL and G-by-E QTL for 15 traits. (b) Identification of the gene Zm00001eb374120 as main QTL MQTL38 (chromosome 9: 12.46–13.06 Mb) for ELW. (c) The effect of MQTL38 in paired environments. (d) Genotype × environment interaction effects (GGE)-type marker effect for main QTL MQTL43 (chromosome 9: 121.45–121.46 Mb) identified for hundred-grain weight (HGW). (e) Mean HGW of the two QTL alleles in the seven environments. (f) GGE-type marker effect for the interaction QTL IQTL8 (chromosome 2: ~214.58 Mb) identified for yield and (g) mean yield distribution of the two QTL alleles in the seven environments. The significance of GGE-type effects was tested by the Wald test, * means the effect is significant at the level of 0.05. | PMC9697416 | ijms-23-13943-g006.jpg |
0.445406 | 898bbef8c0434574a158881f1314b79c | Genome-wide prediction results. Predictive ability in each environment using a model with only marker main effects or integrating main and genotype-by-environment interaction effects shown for days to anthesis and yield per hectare. The significance test between the two models was performed by t test. *, significant at 0.05 level; **, significant at 0.01 level. The point and bar represent mean and standard deviation value, respectively. | PMC9697416 | ijms-23-13943-g007.jpg |
0.416076 | b0d65f4d9dcc49098cfbe33974bbc7c8 | PRISMA flow diagram of selection of studies for inclusion in the review. | PMC9697474 | jpm-12-01767-g001.jpg |
0.419769 | 6780fd721a384499ab8139e7cd719ed8 | Photomicrograph image of Japanese cedar pollen collected on the rooftop of the University of Yamanashi. | PMC9697594 | pathogens-11-01313-g001.jpg |
0.402294 | 7283121417e94025a3428306a57f1d5a | The amount of JC pollen and cypress pollen scattered. The number (grains/cm2) of JC pollen (solid line) and cypress pollen (dotted line) scattered as assessed by the Durham method at the University of Yamanashi, School of Medicine (Yamanashi Prefecture) from February to April 2021. | PMC9697594 | pathogens-11-01313-g002.jpg |
0.494015 | f381525eae12436396927285057359f3 | Immunological alterations induced by SLIT and putative mechanisms. DC: dendritic cell, ILC2: type 2 innate lymphoid cell, Treg: regulatory T cell, MC mast cell, sIgE: specific IgE, sIgG4: specific IgG4. | PMC9697594 | pathogens-11-01313-g003.jpg |
0.398947 | 90f26a047a2f44debce162b4f6592017 | Changes in the abundance of the Top10 species-level bacteria before and after FMT. Before refers to before FMT, after_1 refers to after taking the first enterobacterial capsule, after_2 refers to after FMT completion, after_3 refers to one month after FMT completion. | PMC9697655 | jcm-11-06700-g001.jpg |
0.434342 | db425dcc0d7c412da453570254d78582 | Consolidated Standards of Reporting Trials (CONSORT) flow diagram | PMC9698290 | IJA-66-687-g001.jpg |
0.551132 | e08b91d69d0a4415bba50cf3d29888e4 | Single-wire line diagram of the experimental power supply. ELB: earth-leakage circuit breaker; MCCB: molded-case circuit breaker. | PMC9699099 | materials-15-08206-g001.jpg |
0.443707 | 8c30eef319744c369fd7f8435099c759 | Internal configuration of the test room (top view): thermocouple installed in the east, west, south, north, and center, and wood pallet installed in the center. | PMC9699099 | materials-15-08206-g002.jpg |
0.480382 | 66f33eb6815542e7ad5f2a96c5fca1ca | Temperature of the thermocouples over time. All wires were short-circuited within the yellow region (680–750 °C). | PMC9699099 | materials-15-08206-g003.jpg |
0.437083 | ed15d4d4ea794c839f4672767a0983f0 | (a) Longitudinal direction (LD) orientation maps, (b) crystal direction maps of (001)//LD, and (c) pole figures of PABs of three representative specimens. | PMC9699099 | materials-15-08206-g004.jpg |
0.360033 | f6a68427b760459d80ad20fa00be48fe | (a) Longitudinal direction (LD) orientation maps, (b) crystal direction maps of (001)//LD, and (c) pole figures of the SABs of three representative specimens. | PMC9699099 | materials-15-08206-g005.jpg |
0.39364 | 3c14094d82e34bf3bf074c927b33daf1 | Grain aspect ratio maps: (a) PABs and (b) SABs. | PMC9699099 | materials-15-08206-g006.jpg |
0.418306 | 42ec26cd0e4e42aeb58a2ff028f9cdbb | Distribution of Σ3 boundaries (red line) in the molten marks: (a) PABs and (b) SABs. | PMC9699099 | materials-15-08206-g007.jpg |
0.394931 | e08c64dbf4a94c4a9f9c0d65dab2f10a | Representation of the grains of maximum size: (a) PABs and (b) SABs. | PMC9699099 | materials-15-08206-g008.jpg |
0.420867 | e1777f637bc5426097aefd922f9ed37a | (a) Decision tree plot and (b) decision surfaces on the pairs of discriminant factors. | PMC9699099 | materials-15-08206-g009.jpg |
0.528484 | 9f431eb3d0294681922b8b9b85952239 | Discriminant accuracy according to the combination of the four discriminant factors. | PMC9699099 | materials-15-08206-g010.jpg |
0.442208 | b9f998061436494a9f524e5d99d69bd1 | Distribution and decision boundary of PABs and SABs: (a) Sig3–GS–CD and (b) Sig3–CD–GAR. | PMC9699099 | materials-15-08206-g011.jpg |
0.466892 | 69b7f968721e482c92908e5cf443d0ee | Discriminant process of PABs and SABs: (a) Sig3–GS–CD and (b) Sig3–CD–GAR. | PMC9699099 | materials-15-08206-g012.jpg |
0.427736 | 87af4860e7174c6a8b97396872b8b7f5 | Distribution of the molten marks collected from the fire sites: (a) Sig3–GS–CD and (b) Sig3–CD–GAR. | PMC9699099 | materials-15-08206-g013.jpg |
0.428785 | 946cc6afbfec46048be739f13ce19976 | Trametinib Treatment Promotes Changes in Survival and Routine Health Measurements(A) Comparison of survival curves demonstrated a statistically significant reduction in survival (69.4 days) in trametinib-treated animals (n = 15-20/group). (B) Trametinib-treated animals experienced a significant weight reduction following long-term treatment. Data were analyzed using a 2-way analysis of variance with a Bonferroni test (n = 10/group). (C) Complete blood counts were procured and normalized to vehicle control (n = 5/group). Data were analyzed using unpaired Student’s t-tests. Data are represented as mean fold change. Bas = basophils; Eos = eosinophils; Hb = hemoglobin; Hct = hematocrit; Lym = lymphocytes; MCH = mean corpuscular hemoglobin; MCHC = mean corpuscular hemoglobin concentration; MCV = mean corpuscular volume; Mon = monocytes; MPV = mean platelet volume; Neu = neutrophils; Plt = platelets; RBC = red blood cells; Tx = treatment; WBC = white blood cells. | PMC9700254 | gr1.jpg |
0.440974 | 0a48edd2715845c697f5ae8a835a87cb | Echocardiographic Assessment of Left Ventricular FunctionLeft ventricular function was assessed on echocardiography at 2 months (pretreatment [Tx]) and upon terminal health assessment (n = 7/group). Comparison of ejection fraction (EF) (A) and fractional shortening (FS) (B). (C) Representative M-mode images demonstrating wall motion abnormalities exclusively seen in trametinib-treated animals on terminal assessment. (D) Representative images demonstrating normal parasternal long-axis images on pretreatment assessment, with right ventricular enlargement on terminal assessment in a fraction of trametinib-treated animals. Data were analyzed using 2-way analysis of variance with a Bonferroni test. LV = left ventricle; RV = right ventricle. | PMC9700254 | gr2.jpg |
0.363794 | ca5b8e754c164a55b1e417a3b6bacdec | Histopathologic Analysis of Trametinib-Treated Hearts(A) Movat’s pentachrome staining of trametinib-treated hearts showed no differences between groups. (B) Cardiac myosin heavy chain (MHC) staining confirmed normal sarcomeric architecture between groups. (C) Wheat germ agglutinin (WGA) and myosin heavy chain (MF20) staining of cardiac tissue demonstrated (D) a reduction in cardiomyocyte cross-sectional area in the trametinib group prior to normalization (E), with no differences observed when normalized to body weight (BW). (F) Western blot analysis examining markers for immune cells and cell death. No changes in markers of cell death or antineutrophil elastase (ANE) were observed. (G) CD38 was elevated, whereas CD206 was reduced. Data were compared using unpaired Student’s t-tests. (H) Myocardial vacuolization and (I) calcification were seen in a small subset of trametinib samples. Von Kossa staining confirmed calcification. Calcific regions stained positive for RIP3K in the absence of TUNEL positivity. N = 5-6/group. | PMC9700254 | gr3.jpg |
0.461619 | bb544d23211a40229229d991a2d82f88 | Transcriptomic Analysis of Hearts Following Long-Term Trametinib Exposure(A) Volcano plot: 435 significantly differentially expressed (DE) genes represented by expression change (x-axis) and the significance of the change (y-axis). Up-regulated genes are shown in red and down-regulated genes in blue. (B) Top 10 pathways plotted by over-representation on the x-axis (pORA) and total pathway accumulation on the y-axis (pAcc). Pathways are represented by a single dot, with dot size corresponding to the size of the pathway it represents. (C) Diagram depicting major over-represented pathways overlayed with the computed perturbation of each gene. (D) Top upstream regulators predicted as activated. Of note, interleukin-6 was predicted to be present. (E) Of note, doxorubicin was identified as a related upstream chemical, with 80% of changes in downstream DE genes being consistent with findings from our dataset (P = 4.356 × 10−13). N = 3/group. FC = fold change; NSC = non-small-cell. | PMC9700254 | gr4.jpg |
0.414233 | fee5b99f5508497280121f01a455f410 | Elevated IL-6 Activates Pathways Associated With Oxidative Stress(A) Forty-cytokine panel demonstrating elevations in interleukin (IL)-6, CXCL11, and CXCL13 (n = 2/group). (B) IL-6 enzyme-linked immunosorbent assay confirming statistically elevated plasma levels. Data were compared using a Mann-Whitney U test (n = 6/group). (C) Cardiac tissue western blots examining phosphorylated ERK1/2 (pERK1/2), total ERK1/2 (tERK1/2), phosphorylated STAT3 (pSTAT3), total STAT3 (tSTAT3), phosphorylated AKT (pAKT), total AKT (tAKT), AKT3, and GAPDH. (D) pERK1/2 was reduced in trametinib-treated animals. pSTAT3 and pAKT1/2 were elevated. Total protein changes were detected in STAT3 and AKT3. No changes in tERK1/2 and AKT1/2 protein were observed. Significant differences were observed in pERK1/2:tERK1/2, pSTAT3:tSTAT3, and pAKT:tAKT ratios. No difference was observed in pAKT:tAKT (n = 6/group). (E) Changes in mitochondrial genes were detected. Data are represented as z-scores in a heat map (n = 3/group). (F) Oxyblot analysis demonstrating increased protein carbonylation, a marker for oxidative stress, in trametinib heart lysate (n = 6/group). | PMC9700254 | gr5.jpg |
0.415924 | 27d90f75f0ce4c9098a64cb054f2141c | Molecular and Cellular Changes Affecting Cardiac Function(A) Transcriptomic changes relating to cardiac function (n = 3/group). Changes in genes related to inotropic action (n = 12), adrenergic signaling (AS) (n = 2) calcium signaling (n = 1), extracellular matrix (ECM) tensile strength (n = 6), focal adhesions (n = 11), and ECM remodeling (n = 5) were discovered. Data are represented as z-scores in a heat map. (B) The apelin receptor (Aplnr/APJ) was our top hit from RNA sequencing. A log fold change of −11.31 in APJ expression was observed in trametinib-treated hearts. (C) Western blot analysis showing a 2-fold reduction in APJ protein levels (n = 6/group). Data were compared using an unpaired Student’s t-test. (D) Immunohistochemical (IHC) analysis demonstrating a loss of APJ at the surface of cardiomyocytes (n = 4/group). (E) IHC stains examining N-cadherin and connexin-43 (CX43). N-cadherins remain present at the intercalated discs between cardiomyocytes. CX43 mislocalizes to the lateral surface of cardiomyocytes (n = 5/group). α-Tub = α-tubulin; FC = fold change; FDR = false discovery rate; MF20 = myosin heavy chain; MHC = myosin heavy chain. | PMC9700254 | gr6.jpg |
0.378412 | 62a4972ac7cf46268366f8a2b9f83f88 | Trametinib-Treated Human Cardiac OrganoidsTrametinib promotes partially reversible changes in human cardiac organoid (hCO) morphology and reduces contraction amplitude and fibroblast content. (A) Timeline summarizing hCO fabrication (day 4 [D4] to D0), maturation (D0-D4), drug treatment (D4-D10), and hCO recovery (D10-D16). (B) Representative images of hCO at D10 and D16. (C) Trametinib promotes a reduction in hCO diameter at D10, with partial size recovery observed at D16. (D) Trametinib treatment reduces contraction amplitude at D10, with partial recovery by D16. (E) Trametinib-treated hCO demonstrated a reduction in fibroblast content, with recovery of fibroblast content by D16. All statistical analysis was performed using unpaired Student’s t-tests. N = 10/group. A was made using BioRender. | PMC9700254 | gr7.jpg |
0.402334 | 13f550c0c76b4bd18add71376a1499b1 | Mechanisms of Trametinib-Induced CardiomyopathyTrametinib-treated animals experienced a decline in cardiac function, as determined by echocardiography. RNA sequencing was performed to help further characterize the cellular and molecular changes associated with trametinib cardiotoxicity. Transcriptomic and iPathway analysis identified interleukin-6 as an activator of PI3K/AKT and JAK/STAT signaling pathways, with downstream changes in genes associated with hypertrophy, cell survival, mitochondrial biogenesis, mitophagy, and oxidative stress. Key histologic changes included a loss of cardiomyocyte Aplnr expression, connexin-43 (CX43) mislocalization, myofibrillar breakdown, and, in 23% of cases, myocardial calcification and vacuolization. | PMC9700254 | gr8.jpg |
0.486929 | 39020ee52d0546ab937017d594071ad7 | Participant progress CONSORT flow chart | PMC9700575 | 10787_2022_1033_Fig1_HTML.jpg |
0.403499 | 0506139434d54a4984fed389b87a811a | BPI-PN (A) Pain Severity scores at baseline, 2, 4, 6 and 8 weeks and (B) Pain interference score at baseline, 4 and 8 weeks scores for the active treatment group and the placebo group | PMC9700575 | 10787_2022_1033_Fig2_HTML.jpg |
0.557308 | e4e75beb659f4740b65d74efa1d41050 | Neuropathic Pain Symptom Inventory (NPSI) total and sub-scores for the active treatment group and the placebo group at 8 weeks | PMC9700575 | 10787_2022_1033_Fig3_HTML.jpg |
0.442865 | 40c99793f22f454699020b6cf4a7bd58 | Fully linked neural network. a Schematic diagram of the fully connected neural network training synthetic term f. b Three genes are used as an example to illustrate. The synthetic term \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$f_2$$\end{document}f2(\documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$f_3$$\end{document}f3) of \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$g_2$$\end{document}g2(\documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$g_3$$\end{document}g3) is evaluated by a fully connected network. \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$f_2$$\end{document}f2 and \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$f_3$$\end{document}f3 (wheat and light blue) can depend on all three variables: \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$g_3$$\end{document}g3, \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$g_2$$\end{document}g2 and the input signal \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$g_1$$\end{document}g1 | PMC9700916 | 12859_2022_5055_Fig1_HTML.jpg |
0.52469 | 522da6f15df1443583b552a9e0116fcf | Time evolution process under noisy conditions. (1) Under the stimulus after adding Gaussian white noise to the input signal (the red line of Input), without any constraints on g2, the time evolution curves g3 and g2 obtained after training the NN, and the expression level of g3 (blue line) is the same as The target time progress value (target’s blue dotted line) basically matches. (2) Cross-section information obtained by training a NN under noisy conditions. Three panels show the dependence of \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$f_3$$\end{document}f3, \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$f_2$$\end{document}f2 on I, \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$g_3$$\end{document}g3 or \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$g_2$$\end{document}g2 with the other two variables fixed. (3) The regulatory network obtained from (2) | PMC9700916 | 12859_2022_5055_Fig2_HTML.jpg |
0.503475 | 52686a890d274156b987bc1283b01bb8 | Simulate regulator knockout. (1) The perturbed f function can be iterated to simulate the effect of mutants in which specific regulatory chains are deleted. For example, deletion of \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$g_3$$\end{document}g3’s modulating effect on \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$g_3$$\end{document}g3 leads to an increase in \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$g_3$$\end{document}g3 (from darker to brighter solid green lines), indicating self-inhibition (shown in the third panel). The difference in \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$g_2$$\end{document}g2 levels is not important here (dotted line). A similar argument applies to the other three panel. (2) Describes the sensitivity of network sequence and adapt to the error. Pane shows the knockout technology through links, step 1 to 4 of the evolution process of the network topology. The minimum incoherent feed forward motif appears naturally (topology #4), before the network has too few links to adapt | PMC9700916 | 12859_2022_5055_Fig3_HTML.jpg |
0.42306 | 0ecf575e07404e15bb98a2b8aed26061 | The AUROC and AUPR of GENIE3, BiXGBoost, SIGNET, GNIPLP, PoLoBag and our methods on DREAM4 InSilico_Size100 five networks | PMC9700916 | 12859_2022_5055_Fig4_HTML.jpg |
0.350524 | d81b1f6e77864632997bc32ed92ff7da | E. coli network including 1484 genes. Each bar represents the performance of one method in which the abscissas are the corresponding AUROC (right) and AUPR (left) values | PMC9700916 | 12859_2022_5055_Fig5_HTML.jpg |
0.397289 | a22eb892206e4b59b711f65352b73648 | the activin/gsc/Xbra system. The Activin gene was activated by the input signal of morphogenetic gradient (Bcd), so it began to imitate its gradient mode. The Activin gene activated Xbra gene and opened the positive feedback of Xbra gene at a certain threshold. The Activin gene activates the Goosecold gene, and when the concentration of the two genes accumulates high enough, it forces the Xbra gene down. However, the concentration is highest only on the left side, when the concentration of Goosecold gene is low and its inhibitory effect is low, so that Xbra gene reaches a stable state | PMC9700916 | 12859_2022_5055_Fig6_HTML.jpg |
0.40868 | c67310fc20cb4680943246c83b58a6b7 | Characterization of Alg-Dox-R837 hydrogel (A) Gel formation with different Ca2+ concentrations; (B) Gel images with different components; (C) Alg-Dox-R837 formed “NCNST”; (D) Morphological characterization of hydrogel with different compositions (scale bar: 50 μm); (E) Elemental energy spectrum distribution of Alg-Dox-R837; (F) Loss modulus and storage modulus of Alg, Alg-Dox and Alg-Dox-R837; (G) Viscosity versus shear rate for Alg, Alg-Dox and Alg-Dox-R837; (H)
In vitro sustained release profile of Dox in Alg-Dox-R837 gel. | PMC9701709 | fbioe-10-1072393-g001.jpg |
0.460776 | 94b6b6551909421a8f174d57ec00de14 | Subcutaneous interstitial administration of gel to achieve tumor wrap (A) Schematic diagram of interstitial injection of hydrogel to achieve tumor wrap; (B) Cryosection imaging of gel-wrapped tumor (black: melanoma, red: Alg-Dox -R837 gel); (C) Localized fluorescence imaging (scale bar: 200 μm) and overall cross-section imaging (scale bar: 1,000 μm) of Dox in tumors after treatments; (D) Permeability of tumor-to-stromal. | PMC9701709 | fbioe-10-1072393-g002.jpg |
0.436297 | 5f8d4548cc854db0b94d83a84aaf79ab |
In vitro cell killing and activation of dendritic cells (A) Killing effect of Alg-Dox-R837 on B16F10; (B) Fluorescence images of dead and live cells after different treatments obtained by calcein AM and PI staining (scale bar: 70 μm); (C,D) The expression of DC surface markers CD80 and MHCII was assessed by flow cytometry; (E,F) The secretion of TNF-α and IL-6 in the culture supernatant of DC was measured by ELISA; (G) Schematic representation of B16F10 residue-induced DC activation after various treatments assessed using the transwell system. B16F10 cell residues with different treatments were placed in the transwell insert, and DC2.4 cells were cultured in the transwell chamber; (H) The expression of DC2.4 surface markers (CD80 and MHCII) in the transwell co-culture system was assessed by flow cytometry analysis. | PMC9701709 | fbioe-10-1072393-g003.jpg |
0.433164 | 7f238bcd794649f79120ee17d8ff77d6 |
In vivo antitumor efficacy (A) Dosing schedule of interstitum-based chemo-immunotherapy in vivo; (B) Tumor image after 14 days of treatment in mice; (C) Image of isolated tumor after 14 days; (D) Treatment time curve of relative tumor volume during 14 days; (E) Curve of body weight with different treatments; (F) Weight of isolated tumor after 14 days of treatment; (G) Secreted IL-6 in mice serum after 14 days of treatment; (H) Secreted TNF-α in mice serum after 14 days of treatment. | PMC9701709 | fbioe-10-1072393-g004.jpg |
0.430705 | 739a510080d4472099f1530780033f11 | HE-stained images of major metabolic organs (liver and kidney) and tumor tissue after 14 days of drug administration in mice (scale bar: 50 μm). | PMC9701709 | fbioe-10-1072393-g005.jpg |
0.46427 | 55ad998e2b0844e29f2d1897ff0662bd | Remodeling of the tumor microenvironment (A) Changes in the number of M1-type macrophages (F4/80+CD86+); (B) Changes in the number of M2-type macrophages (F4/80+CD206+); (C) Changes in the number of helper T cells (CD3+CD4+) after treatment; (D) Changes in the number of killer T cells (CD3+CD8+) after treatment; (E) After treatment, the activation of DC cells in lymph nodes. | PMC9701709 | fbioe-10-1072393-g006.jpg |
0.458342 | 8addba4d773f481f8772bca46cf6e14e | Schematic illustration of the mechanism of tumor immunotherapy by an engineered hydrogel through tumor interstitial wrap. | PMC9701709 | fbioe-10-1072393-g007.jpg |
0.48771 | 1ff6fad6f89945e79804522e10db916b | Hypothesized conceptual model. | PMC9703067 | fpsyg-13-1045947-g001.jpg |
0.446372 | 26dd3785343f45c9852f0e4585ff75c9 | The chain mediating effect of teacher efficacy and self-leadership. ***p < 0.001. | PMC9703067 | fpsyg-13-1045947-g002.jpg |
0.462793 | 807d62d8cb8947e38c804d425ecaf970 | (A) The “labral anchor” is inserted at 5 o’clock from the anterosuperior portal, and two sutures are passed through the inferior glenohumeral ligament complex (IGHLC) in preparation for subsequent Bankart repair. (B) The “graft-anchors” are inserted at the 4:30 and 3 o’clock from the anterosuperior portal. And the bone graft is obtained at the scapular spine. (C) One suture from each of the two graft-anchors is correspondingly shuttled through the bone tunnels separately. And a cannula from the anterosuperior portal is used for transporting the bone graft. (D) The bone graft is covered by the IGHLC and integrated with the anterior glenoid rim. Two graft anchors sutures, which are shuttled through the bone tunnels, are then passed through the IGHLC. (E) After the IGHLC is pretensioned, sutures of the two graft-anchors are tied up to fix the bone graft and repair the IGHLC simultaneously. Additional sutures are then tied up to accomplish the Bankart repair and reinforce the fixation of the bone graft. | PMC9705272 | gr1.jpg |
0.457536 | e5a903f7adae4017980eeffc9827a3e1 | Anterosuperior viewing portal of right shoulder. The surgeon elevates the inferior glenohumeral ligament complex (IGHLC) and pretensions it with the retriever from the posterior portal. When the elevated IGHLC is pretensioned, sutures (white arrows) of the two “graft anchors” are tied up to fix the bone graft and repair the IGHLC simultaneously. The blue arrow indicates the “labral anchor,” which is located at 5 o’clock. The red and black arrows indicate the graft anchors which at located at 4:30 and 3 o’clock separately. | PMC9705272 | gr10.jpg |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.