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0.455087 | f804ffdf86d04b438fde6992fa0b5e2b | The number of point defects produced as a function of simulation time at different temperatures of bicrystal models with (a) Σ25(710) GB, (b) Σ13(510) GB, (c) Σ5(310) GB, and (d) Σ29(520) GB. The PKA energy is set as 9 keV. | PMC10304943 | materials-16-04414-g003.jpg |
0.488121 | 0a50226864964b65a44c3a65e4772bd6 | The number of defects at the peak stage and stable stage in single-crystal models and bi crystal models with crystallographic orientations of (a) (710), (b) (510), (c) (310), and (d) (520) at different temperatures. | PMC10304943 | materials-16-04414-g004.jpg |
0.474195 | b05e472bd66d4c7c98ca669ffcb48635 | The number of point defects produced as a function of simulation time with different PKA energies of bicrystal models with (a) Σ25(710) GB, (b) Σ13(510) GB, (c) Σ5(310) GB, and (d) Σ29(520) GB. The temperature is set as 800 K. | PMC10304943 | materials-16-04414-g005.jpg |
0.434477 | 26eaacda9785457a83d1563b0b2c19a4 | The number of defects at the peak stage and stable stage in single-crystal models and bicrystal models with crystallographic orientations of (a) (710), (b) (510), (c) (310), and (d) (520) at different PKA energies. | PMC10304943 | materials-16-04414-g006.jpg |
0.430237 | 366fd23567b04ae7942aba86cf4bdf59 | Snapshots of defect distributions after 7 ps simulation of the collision cascades in bicrystals with different GBs (a–d) and single-crystals with different orientations (e–h). The red atoms are interstitial atoms, the blue atoms are vacancies, and the gray atoms are GBs. All simulations are conducted with the case of EPKA = 9 keV at a temperature of 800 K. | PMC10304943 | materials-16-04414-g007.jpg |
0.414005 | 915f3eb450e148d2a0ab7f0b9addcb87 | Statistics of interstitial clusters (a–d) and vacancy clusters (e–h) with different sizes in bicrystal models at different PKA energies. | PMC10304943 | materials-16-04414-g008.jpg |
0.442712 | 97ffbd6fba9d4bb29aa45cffca22140b | The proposed tone mapping architecture was inspired by ExpandNet [21], and it was simplified by discarding a branch of layers called the “dilation branch”, which operates on the full resolution with a wide perceptive field and is therefore computationally complex. The network is comprised of convolutional layers followed by ReLU activations. The global branch spatially down-samples the feature maps in each subsequent layer through skip convolutions, and the local branch operates at the original resolution. The fusion layers combine the local and global features into an output tone-mapped image. | PMC10304969 | sensors-23-05767-g001.jpg |
0.448535 | 671457906e1b47deb55400ba37f95bde | Flowchart of the process of creating synthetic HDR training data from SDR images. The blue blocks represent the data pre-processing steps that comprise the proposed detection-informed training procedure. It focuses on creating realistic and challenging training conditions. The training inputs that are created are an HDR input image and a crop from the same image centered at a known object location, and they are coupled with a training ground-truth (target) SDR image. | PMC10304969 | sensors-23-05767-g002.jpg |
0.400771 | ef3f324821bf4c1eb2ec1c361b6acf54 | Example of simulating different amounts of Poisson noise to augment the training set and create a model robust to noise. | PMC10304969 | sensors-23-05767-g003.jpg |
0.393634 | ac8ed65a47ee4fd68c560fed55d99cf3 | An illustration of the proposed training approach using crops at object-centered locations to focus on reconstruction of details. The size of the convolution kernels is indicated by the numbers at the corresponding feature maps of each layer. | PMC10304969 | sensors-23-05767-g004.jpg |
0.430963 | cf7b2a0fec024e94955a8e23749d9140 | Example of the performance of the reference SOTA tone mapping method Farbman et al. [9] and the proposed DI-TM in variable scene dynamic range conditions. The green bounding boxes represent correct detection outputs (true positives) for “person”, “car”, and “traffic light” combined. The proposed method DI-TM is more robust in variable and extreme contrast conditions. | PMC10304969 | sensors-23-05767-g005.jpg |
0.414786 | c0fddd030db949f99e01e1e22f5e3408 | An example of a challenging scene in our dataset of SDR and true HDR images. In an SDR representation, much of the contrast at the object edges is lost, and the objects in the darkness are invisible to the detector. HDR images preserve fine intensity differences, and our tone mapping method enhances the details such that they become visible for the detector, as well as for visualization to a human driver. | PMC10304969 | sensors-23-05767-g006.jpg |
0.38963 | 22528bf66ed747b19c3c05f2e1c2b02f | Qualitative evaluation of the robustness of Farbman et al. [9] vs. proposed model DI-TM1 in extremely challenging high-contrast night-time scenes. | PMC10304969 | sensors-23-05767-g007.jpg |
0.394192 | 7b9088551fb040ff8e758d4ef44ecb3c | The framework of UAV obstacle avoidance method.The framework consists of three parts: environment perception, algorithm avoidance and motion control. | PMC10306222 | pone.0287177.g001.jpg |
0.501829 | ddc996a063fa4f9fbe6856141346be79 | The complete system diagram. | PMC10306222 | pone.0287177.g002.jpg |
0.554488 | 0c332d0401a14c07a4d4584b3831d2dc | Principle of single-line LiDAR ranging. | PMC10306222 | pone.0287177.g003.jpg |
0.420939 | e3d12b2173874248acdabb7fc31ab306 | Airborne LiDAR range sensor.36 range sensors equipped to obtain omnidirectional obstacle perception; each one has a sensor view of 10 degrees Black polygons represent obstacles. | PMC10306222 | pone.0287177.g004.jpg |
0.437623 | b715c3e3ffd6414486b27a4ed28edf04 | Polar histogram.The X axis is the angle of the obstacle perceived by the drone. The Y axis represents the probability of an obstacle in that direction. | PMC10306222 | pone.0287177.g005.jpg |
0.445019 | 3cdb89187006442394a34bf081fb30f0 | VFH algorithm flow chart.The rate about simulation loop is 10 Hz. | PMC10306222 | pone.0287177.g006.jpg |
0.418127 | 38a716fc77f34ffba4b997fbea600193 | Simulation method.The FOV of LiDAR sensors is divided into 36 sectors. The solid blue line denoted obstacle distances. The red circle represents the trajectory of drones. It is assumed that the range finder always aligned with the drone’s direction of motion in each simulation loop. | PMC10306222 | pone.0287177.g007.jpg |
0.476071 | 3e9ad62d40f64ca880c2ae6b21a15904 | Simulation result of VFH algorithm.(a) Obstacle avoidance path of UAV movement; (b) Polar histogram of obstacles at a given time. | PMC10306222 | pone.0287177.g008.jpg |
0.422584 | 0df82987c56345cc88c291a65fdf75b2 | ROS simulation architecture.User Datagram Protocol (UPD) is a data transfer protocol. | PMC10306222 | pone.0287177.g009.jpg |
0.455103 | f0188c1020794122b1bd7603887f240b | 3D simulation of the flight environment. | PMC10306222 | pone.0287177.g010.jpg |
0.472565 | aff990bb2c494853b883c8811b1f9b86 | UAV obstacle avoidance trajectory.The brown straight line is the initial drone route for our artificial planning. The red line represents the real -time flight trajectory of the drone through the forest. (a) The trajectory with a speed of 2m/s; (b) The trajectory with a speed of 1 m/s; (c) The trajectory with a speed of 0.5 m/s. | PMC10306222 | pone.0287177.g011.jpg |
0.401757 | 57f5e6b548724ae89759715d82681f8f | Preoperative two-dimensional transthoracic echocardiography, apical five-chamber view, with color flow Doppler demonstrates eccentric moderate to severe AR by visual assessment. | PMC10307587 | gr1.jpg |
0.469126 | cdf49bbce9024417863dd1a7bc2894fe | Postoperative electrocardiogram demonstrates complete left bundle branch block and sinus tachycardia. | PMC10307587 | gr2.jpg |
0.428045 | 0a03bfb23c1145eeb387f733de4410e9 | Two-dimensional transthoracic echocardiography, apical five-chamber view, on the third postoperative day demonstrates that the lower edge of the aortic valve stent is 3.1 cm from the aortic annulus, which was similar periprocedurally and immediately postprocedurally. | PMC10307587 | gr3.jpg |
0.413234 | 4acab4451c00405486f8c716b4232b72 | Two-dimensional transthoracic echocardiography, apical five-chamber view, with color flow Doppler on the 11th postoperative day demonstrates severe MR. | PMC10307587 | gr4.jpg |
0.43293 | 83e72ff053ac4d25bf127861ce43d564 | Two-dimensional TTE, zoomed apical five-chamber view, on postoperative day 11 demonstrates mitral valve chord and the flocculent hyperechoic density attached. | PMC10307587 | gr5.jpg |
0.520552 | 6a2d61f970774247b2e66e94a068cab3 | (A) The patient’s ECG from 5 years before this evaluation shows evidence of left ventricular hypertrophy by Sokolow-Lyon criteria with the sum of the S wave in V1 and R wave in V5 equal to 36 mm. The negative T waves are seen in V3 to V6. (B) The patient’s ECG from 11 years before this evaluation demonstrates T-wave inversions in V4 and V5. | PMC10307591 | gr1.jpg |
0.402807 | c569fd1b9aac45aba2fdba30b439e399 | Two-dimensional transthoracic echocardiogram (TTE), apical 4-chamber (A) and apical long-axis (B) views, diastolic phase, demonstrate apical regional myocardial hypertrophy (arrows). After left ventricular opacification with an ultrasound-enhancing agent, the apical hypertrophy (arrows) is better visualized (C; diastolic phase) and demonstrates that no apical aneurysm is present in systole (D). Pulsed-wave Doppler of the mitral inflow confirms grade 2 diastolic dysfunction pattern (E). Global longitudinal strain bull’s-eye map demonstrates markedly reduced peak systolic strain (−3%) of the apical segments (F). Tissue Doppler display of the medial (G) and lateral (H) mitral annulus demonstrates reduced e′ velocity of 0.05 m/sec and 0.08 m/sec, respectively. | PMC10307591 | gr2.jpg |
0.45149 | 8c1645008cfd41acb4a7d395615dbed2 | Cardiac magnetic resonance imaging, steady-state free precession sequence, 4-chamber (A), apical short-axis (B), and comprehensive short-axis stack (C) views, diastolic phase, demonstrates regional apical hypertrophy (22 mm) with apically displaced papillary muscles (yellow arrows). Three-dimensional reverse TI dark blood LGE method, 4-chamber (D) and short-axis (E-G) views, diastolic phase, demonstrates the apical hypertrophy with patchy LGE involving 13% of the myocardial mass (6×SD method) consistent with replacement fibrosis (white arrows). A parametric extracellular volume map, 3-chamber display (H) demonstrates elevated extracellular volume of ∼30% of the myocardium (yellow area) consistent with underlying interstitial fibrosis. | PMC10307591 | gr3.jpg |
0.398271 | a0ef372e15204111a3ffbd209eb91919 | Histopathological changes in mouse liver of a high-fat diet (HFD) model 100× Magnification. | PMC10307690 | gr1.jpg |
0.485662 | 2fc7b0482b204d5c8963b90e551267e3 | Histopathological changes in mouse mesenteric fat in a high-fat diet (HFD) model 100× magnification. | PMC10307690 | gr2.jpg |
0.396781 | 7a6063cc2bf94c3492e041428c1f8a56 | Histopathological analysis of adipose tissue in a gold thioglucose (GTG) model 100x. | PMC10307690 | gr3.jpg |
0.39281 | 30c41cde90874dd0ba093ee265ce5e2b | Histopathological analysis of liver tissue in a gold thioglucose (GTG) model. 100x. | PMC10307690 | gr4.jpg |
0.431676 | bb0bcdad61174edab2c66769d94044c2 | Histopathological evaluation of brain tissue in a gold thioglucose (GTG) model 100x. | PMC10307690 | gr5.jpg |
0.445677 | 6f4337489a6f43558ef8e3a33cb22fd2 | Effects of chloramphenicol (CAP) and 2-deoxy-d-glucose (2-DG) under different glucose conditions. (a) The effect of the 7-day administration of CAP in U87 (2 × 104 cells were seeded) under normal (1000 mg/L) and high (4500 mg/L) glucose conditions. CAP is effective under normal glucose conditions. (b) Cell number with CAP under glucose concentrations of 1000 and 4500 mg/L relative to the control shows that CAP is effective under normal glucose conditions (cells were seeded in a six-well plate and counted using a Coulter counter). (c) The effect of the 3-day administration of 2-DG in U87 under normal and high glucose conditions; 2-DG is effective at 1,000 mg/L glucose condition. (d) Cell number with 2-DG under normal and high glucose concentrations relative to the control shows that 2-DG is effective under normal glucose conditions (cells were seeded in a six-well plate and counted using trypan blue). Values are presented as mean ± standard deviation. Student’s t-test was performed under normal glucose vs. high glucose conditions. ***P < 0.001, ****P < 0.0001. | PMC10307808 | 41598_2023_37483_Fig1_HTML.jpg |
0.533491 | 9a4bc90239e24f0aa9a7ecae542ff972 | Effects of combined treatment, including chloramphenicol (CAP) and 2-deoxy-d-glucose (2-DG), under different glucose conditions. (a) The effect of the 5-day administration of CAP and 2-DG in U87 under normal glucose conditions. The combined treatment was effective. (b) Cell number with each agent under a glucose concentration of 1000 mg/L (cells were seeded in a six-well plate and counted using a Coulter counter). (c) The effect of the 5-day administration of CAP and 2-DG in U87 under high glucose conditions. (d) Cell number with each agent under a glucose concentration of 4500 mg/L (cells were seeded in a six-well plate and counted using a Coulter counter). Values are presented as mean ± standard deviation. Statistical significance was assessed using the ordinary one-way analysis of variance test with Tukey’s multiple comparison test assessing Ct vs. CAP vs. 2-DG vs. CAP + 2-DG. **P < 0.01, ***P < 0.001, ****P < 0.0001. | PMC10307808 | 41598_2023_37483_Fig2_HTML.jpg |
0.495727 | 0b8403dc4962404387d5c342c03002ac | 2-Deoxy-d-glucose (2-DG) makes the cell’s mitochondria dominant and increases the oxygen consumption rate (OCR). (a) 2-DG increased the expression of COX1 in U87 after 3 days. (b) Quantification of COX1 expression (N = 3). Values are presented as mean ± standard deviation. Student’s t-test was performed on normal glucose vs. high glucose conditions. **P < 0.01. (c) Traces of OCR in each agent administered and (d) quantification of maximal respiration. Ordinary one-way analysis of variance with Tukey’s multiple comparison test was performed to assess Ct vs. CAP vs. 2-DG vs. CAP + 2-DG. *P < 0.05, **P < 0.01, ****P < 0.0001. | PMC10307808 | 41598_2023_37483_Fig3_HTML.jpg |
0.448045 | 09abcfb68c46419bad3345179d62998e | Effects of combined treatment, including chloramphenicol (CAP) and 2-deoxy-d-glucose (2-DG), under different glucose conditions in hypoxia. (a) The effect of the 5-day administration of CAP and 2-DG in U87 under normal glucose conditions for in hypoxia (O2 = 1%). The combined treatment was effective. (b) Cell number with each agent under a glucose concentration of 1000 mg/L (cells were seeded in a six-well plate and counted using a Coulter counter). (c) The effect of the 5-day administration of CAP and 2-DG in U87 under high glucose conditions. (d) Cell number with each agent under a glucose concentration of 4500 mg/L (cells were seeded in a six-well plate and counted using a Coulter counter). Values are presented as mean ± standard deviation. Statistical significance was assessed using the ordinary one-way analysis of variance test with Tukey’s multiple comparison test assessing Ct vs. CAP vs. 2-DG vs. CAP + 2-DG. **P < 0.01, ***P < 0.001, ****P < 0.0001. | PMC10307808 | 41598_2023_37483_Fig4_HTML.jpg |
0.450214 | 91b429d0c3c84df4be26ed97834e47d2 | Effects of combined treatment in patient-derived stem-like cells. (a) The effect of the 7-day administration of chloramphenicol (CAP) and 2-deoxy-d-glucose (2-DG) in KNS1451 under normal glucose conditions. The combined treatment was effective. (b) Cell number with each agent under a glucose concentration of 1000 mg/L (cells were seeded in a six-well plate and counted using trypan blue). Values are presented as mean ± standard deviation. Statistical significance was assessed using the ordinary one-way analysis of variance test with Tukey’s multiple comparison test assessing Ct vs. CAP vs. 2-DG vs. CAP + 2-DG. **P < 0.01. | PMC10307808 | 41598_2023_37483_Fig5_HTML.jpg |
0.455491 | faebd9f0713a4d09b47030b662b8dbf6 | Iron dynamics were changed drastically by both agents. A change in ferroptosis was observed after the 5-day administration of chloramphenicol (CAP) and 2-deoxy-d-glucose (2-DG) treatment in U87. (a,b) Quantification of PTGS2 and CHAC1 mRNA expression (N = 3). (c) Quantification of HO-1 mRNA expression (N = 3). (d) Quantification of FTH1 mRNA expression (N = 3). (e) Western blot reveals that FTH1 and GpX4 levels increased in both agents, whereas KEAP1 levels decreased in both agents (N = 3). (f–h) Quantification results. Values are presented as mean ± standard deviation. Student’s t-test (a–c,f) or ordinary one-way analysis of variance with Tukey’s multiple comparison test (d,g,h) was performed to assess Ct vs. CAP vs. 2-DG vs. CAP + 2-DG. *P < 0.05, **P < 0.01, ***P < 0.001. | PMC10307808 | 41598_2023_37483_Fig6_HTML.jpg |
0.42634 | 2e56a74580214c53bf1a97a52d4f4f4f | Inhibition of ferroptosis by deferoxamine (DFO). (a,b) In U87, cell number assay reveals that chloramphenicol (CAP) and DFO (50 μM, added 72 h after CAP injection) reduced cell death after 5 days. Values are presented as mean ± standard deviation. (N = 3). (c–e) In U87, the cell number assay revealed that 2-deoxy-d-glucose (2-DG) or CAP + 2-DG and DFO reduced cell death after 3 days, wherein DFO (50 μM) was added initially. Values are presented as mean ± standard deviation. (N = 3). A Student’s t-test was performed. **P < 0.01, ***P < 0.001. | PMC10307808 | 41598_2023_37483_Fig7_HTML.jpg |
0.494126 | 3957a0364ca84d33b8f65c88f0d0510f | Representative images of endoscopic findings. (a) Protrusion. (b) Excavation. (c) Unevenness. (d) Submucosal tumor-like appearance. (e) Erosion. | PMC10307947 | 41598_2023_32667_Fig1_HTML.jpg |
0.459277 | b43571ebb7cd4dbfb53dec1fa59b6a38 | Endoscopic ultrasonography findings of local residual/recurrent cancer after CRT/RT. (a) Uninterrupted fifth layer (arrow). (b) Slurred fifth layer (arrow). (c) Ruptured fifth layer (arrow). CRT, chemoradiotherapy; RT, radiotherapy. | PMC10307947 | 41598_2023_32667_Fig2_HTML.jpg |
0.455205 | 7ad7ffc80f7c44e0b5e9da8c3e1ed3f8 | The proposed strategy of the preoperative evaluation for local residual/recurrent cancer after CRT/RT. CRT, chemoradiotherapy; ER, endoscopic resection; EUS, endoscopic ultrasonography; RT, radiotherapy. | PMC10307947 | 41598_2023_32667_Fig3_HTML.jpg |
0.404966 | 927a93a5c269455dbb3cd4f2a51f9300 | Ten steps for policy implementation evaluation, as initially developed by Public Health Ontario [31], adapted by the Melbourne School of Population and Global Health [32], and specified by the Policy Evaluation Network based on findings and experiences gained in conducting seven reviews and three case studies | PMC10308765 | 12889_2023_15775_Fig1_HTML.jpg |
0.410197 | 140ffbad3d914f1da9cdda1e6e7d6d74 | Morphologies of arial shoot (a), flower (b), fruit (c), seedling (d), rhizome (e), and processed rhizomes (f) of Paris yunnanensis and Paris liiana | PMC10308783 | 12870_2023_4365_Fig1_HTML.jpg |
0.443184 | b8d2aa9c90234d3fbb84df1c84619637 | Cladogram of the maximum-likelihood (ML) phylogeny resulted from analyzing the complete plastomes of Paris species. The numbers at nodes represents ML bootstrap (BS) percentages | PMC10308783 | 12870_2023_4365_Fig2_HTML.jpg |
0.483955 | 77b0baf75d424c87a340a992daa9d9bd | Cladogram of the maximum-likelihood (ML) phylogeny resulted from analyzing the nuclear ribosome DNA (nrDNA) arrays of Paris species. The numbers at nodes represents ML bootstrap (BS) percentages | PMC10308783 | 12870_2023_4365_Fig3_HTML.jpg |
0.42213 | 3521352fa41a4b489c3c716f365ab6ae | Species assignment of the commercial seedlings marketed as Paris yunnanensis (highlighted in red) via maximum-likelihood (ML) analyses of complete plastomes (a) and nuclear ribosome DNA (nrDNA) arrays (b). The numbers at nodes represents ML bootstrap (BS) percentages | PMC10308783 | 12870_2023_4365_Fig4_HTML.jpg |
0.430763 | e42650abfe194617b6a0adaf65ff8b7b | Species assignment of the processed rhizomes marketed as Paris yunnanensis (highlighted in red) via maximum-likelihood (ML) analyses of complete plastomes (a) and nuclear ribosome DNA (nrDNA) arrays (b). The numbers at nodes represents ML bootstrap (BS) percentages | PMC10308783 | 12870_2023_4365_Fig5_HTML.jpg |
0.413807 | bd2e0abd4253420296558b194f3d9515 | Morphology of “typical” Paris yunnanensis (a) and synonymized taxa: Paris birmanica (b), Paris daliensis (c), Paris polyphylla var. nana (d), and Paris polyphylla var. emeiensis (e) | PMC10308783 | 12870_2023_4365_Fig6_HTML.jpg |
0.438868 | 3d8bf772a1a443a38995bffe92014e7a | Concentrations and compositions of (A, B) legacy
and (C, D) novel
HFRs in the blubber of dolphins (n = 35) and finless
porpoises (n = 70). | PMC10308815 | es3c00684_0002.jpg |
0.407615 | a9328fb2f57640c08b80c930a3302db4 | Concentrations of selected
HFRs in the blubber of finless porpoises
stranded during 2013–2015 and 2016–2020. (* represents p < 0.05 and ** represents p < 0.01
based on Mann–Whitney tests). | PMC10308815 | es3c00684_0003.jpg |
0.410196 | 20030fda0a4a45488f48236115bd6cb4 | (A) MS isotope distribution
and (B) MS/MS spectrum of Me-MeO-tetra-BDE
found in the marine mammal blubber samples. | PMC10308815 | es3c00684_0004.jpg |
0.458303 | 0d66602308984e8caa456067e7a4cb04 |
Methodological screening.
| PMC10309244 | 10-1055-s-0040-1713911-i190331-1.jpg |
0.45853 | 0df3ffa6c5cf463b97be4c87d3a4dda2 | Map depicts the geographical locations (red dots) of the samples collected in the states of Chiapas, Quintana Roo, and Tabasco, Mexico.Green coloured states correspond to those where samples were collected. | PMC10309607 | pone.0287853.g001.jpg |
0.422978 | 7f4ddea93d9646e0a1667f793cbb995b | Phylogenetic relations among phlebotomine sand fly species with regard to their morphological characteristics, using Maximum Likelihood analysis.The taxa highlighted in red represent fossil species. | PMC10309607 | pone.0287853.g002.jpg |
0.408448 | b6b0568e792749afbae12fb7049ac4ee | Phylogenetic relations among phlebotomine sand fly species comparing the genetic diversity of a fragment of the COI, cytb and 18S rDNA genes, using the Maximum Likelihood criterion.Coloured branches and tips correspond to sequences generated in this study. The numbers in each node indicate the bootstrap support, and the amplified genes for each species are indicated in parentheses. The triangles are collapsed branches. | PMC10309607 | pone.0287853.g003.jpg |
0.398054 | aca413ed9aaf404996a6cc78c89f47c8 | Time-calibrated phylogeny was done for phlebotomine sand flies based on the Fossilized Birth-Death process and the inclusion of divergence time estimation of each node, considering the Maximum Clade Credibility tree.In the chart, the chronostratigraphic periods are indicated. The amplified genes for each species are indicated in parentheses. The colour rectangles triangles highlight the subtribes of phlebotomine sand flies. | PMC10309607 | pone.0287853.g004.jpg |
0.478123 | 614979c88f6c48f2ab51b1d0d4a2e6cf | Generation and characterization of HTLV-1 hbz mRNA and protein mutant proviral clones in HEK293T cells.Hbz mutant constructs were generated in the context of the HTLV-1 proviral plasmid ACHneo. (A) HEK293T cells were co-transfected with pcDNA3.1(+) empty vector, WT, M3, ΔHbz, M3.ΔHbz, or SAm proviral plasmid and an HTLV-1 LTR-firefly luciferase construct. 48h post-transfection, cells and supernatant were collected for luciferase assay and ELISA to detect HTLV-1 p19 Gag (B), respectively. (C) RNA was extracted from transfected cells for cDNA synthesis and qPCR to detect hbz mRNA levels. Hbz copy number is shown normalized to 1 x 106
gapdh copies. Graphs represent data generated from duplicate samples and error bars represent standard deviation (SD). Data are representative of at least three experimental repeats. | PMC10309998 | ppat.1011459.g001.jpg |
0.444895 | 13fc4d4b9d354a99a11120cf1bbeea06 | Generation and characterization of HTLV-1 hbz mRNA and protein mutant stable producer cell lines.WT, M3, ΔHbz, M3.ΔHbz, and SAm producer cells were generated and (A) culture supernatant was collected for p19 Gag ELISA. Statistical significance was determined by one-way ANOVA with Dunnett’s multiple comparisons test. *P ≤ 0.05, ***P ≤ 0.001, ****P ≤ 0.0001. (B) RNA was extracted from 729.B parental, WT, and mutant producer clones for cDNA synthesis and qPCR to detect hbz mRNA expression. Hbz copy number is shown normalized to 1 x 106
gapdh copies. (C) Total protein was quantified in cell lysates from parental, WT, and mutant 729 cell lines, and equal amounts were loaded onto an SDS-PAGE gel for immunoblotting analysis. β-actin is shown as a loading control, and arrows are used to distinguish background bands from those corresponding to Hbz protein. Graphs represent data generated from duplicate samples and error bars represent SD. Data are representative of at least three experimental repeats. | PMC10309998 | ppat.1011459.g002.jpg |
0.458789 | 2b980148505840508165f1daef260878 | HTLV-1 hbz mRNA and protein mutants immortalize primary human T-cells in vitro.1 x 106 lethally irradiated 729.WT, 729.M3, 729.ΔHbz, 729.M3.ΔHbz, or 729.SAm producer cells were co-cultured in 24-well plates with 2 x 106 freshly isolated hPBMCs from healthy donors in two independent experiments. Long-term immortalization results and characterization of newly immortalized PBL cell lines are shown from a representative experiment. (A) Cells in the co-culture were provided 10 U/mL hIL-2 once per week with fresh media. T-cell immortalization was determined with weekly viable cell counts by trypan blue exclusion. (B) Cell supernatant was collected for p19 Gag ELISA at weekly intervals, beginning at Week 4, to determine virion production. Each time point depicts data collected from three random, independent wells (technical replicates) and error bars represent SD. RNA was extracted from PBL cell lines immortalized by WT, M3, ΔHbz, M3.ΔHbz, and SAm viruses for cDNA synthesis and qPCR to detect (C) spliced hbz mRNA expression and (D) unspliced hbz RNA expression. Hbz copy number is shown normalized to 1 x 106
gapdh copies. Unspliced hbz is shown as fold change relative to WT. Data were generated from duplicate samples and error bars represent SD. The number of newly immortalized cell lines that were analyzed for each virus are as follows: WT n = 4, M3 n = 2, ΔHbz n = 2, M3.ΔHbz n = 3, and SAm n = 3. (E) Total protein was quantified in cell lysates from WT and mutant cell lines and equal amounts were loaded onto an SDS-PAGE gel for immunoblotting analysis. β-actin is shown as a loading control, and arrows are used to distinguish background bands from those corresponding to Hbz protein. (F) Phenotyping of immortalized T-cells was performed by flow cytometry using antibodies against CD3, CD4, and CD8 surface markers. The average percentage of CD4 and CD8 T-cells in each mutant condition is depicted below. (G) Cell lines were collected for nuclear/cytoplasmic cell fractionation followed by RNA extraction, cDNA synthesis, and qPCR to detect spliced hbz in each fraction. Each dot represents an individual cell line, generated from duplicate samples and bars represent the mean. An ATL-derived cell line (ATL-ED) was used as a positive control. (H) Proliferation was measured by MTS assay. Error bars represent the SD of three technical replicates. Data in all panels are representative of at least three experimental repeats. | PMC10309998 | ppat.1011459.g003.jpg |
0.474061 | 42991501bbab47308fe04faf352c4c4c | Hbz protein expression is critical for early in vivo viral persistence.1 x 107 lethally irradiated 729.WT, 729.M3, 729.ΔHbz, 729.M3.ΔHbz, or 729.SAm producer cells were inoculated into 14-week-old, male NZW rabbits via the lateral ear vein. Whole blood was collected at Week 0 (pre-inoculation) and Weeks 2, 4, 8, and 12 post-infection (study endpoint) for plasma and rPBMC isolation. (A) Genomic DNA was isolated from rPBMCs and proviral load was measured by qPCR using a primer and probe set specific to HTLV-1 gag/pol sequence. (B) Plasma was used to measure the HTLV-specific antibody response via the Avioq HTLV-I/II Microelisa System. Absorbances were measured at 450 nm. In each of the graphs, symbols represent the proviral load and antibody response for a single inoculated rabbit and bars represent the mean. Linear mixed-effects analyses were performed, and multiple comparisons were adjusted by Holm’s method. Asterisks represent significant differences compared to WT at the corresponding time point. *P ≤ 0.05. (Control n = 2, WT n = 6, M3 n = 6, ΔHbz n = 5, M3.ΔHbz n = 6, and SAm n = 6). | PMC10309998 | ppat.1011459.g004.jpg |
0.429009 | 6f03dd3385f94dacabc92df19a375141 | Hbz protein expression modulates levels of viral sense and antisense transcripts in vivo.RNA was isolated from rPBMCs for cDNA synthesis. cDNA from infected rabbits and uninfected controls was subjected to 12-cycle pre-amplification reactions using Bio-Rad SsoAdvanced™ PreAmp Supermix. Pre-amplification products were diluted according to the manufacturer’s directions for downstream qPCR to detect viral gene expression. Copy numbers of gag/pol (A) tax (B) and hbz (C) are shown relative to 1 x 106
rgapdh copies. Sense and antisense viral transcripts were evaluated by normalizing copies per 106
rgapdh to proviral load. In each of the graphs, symbols represent the gene expression for a single inoculated rabbit and bars represent the mean. Linear mixed-effects analyses were performed, and multiple comparisons were adjusted by Holm’s method. Asterisks represent significant differences compared to WT at the corresponding time point. *P ≤ 0.05, **P ≤ 0.01. (Control n = 2, WT n = 6, M3 n = 6, ΔHbz n = 5, M3.ΔHbz n = 6, and SAm n = 6). | PMC10309998 | ppat.1011459.g005.jpg |
0.510948 | 758c37287c7d483db77b09702c698184 | Loss of Hbz protein slows disease progression in HTLV-1-infected HIS mice.HIS mice were inoculated intraperitoneally with 1 x 106 lethally irradiated 729.WT, 729.M3, 729.ΔHbz, or 729.SAm producer cells. (A) Survival rate was determined for animals inoculated with WT or mutant virus. Mice were euthanized according to early removal criteria defined in the approved animal protocol. Statistical significance was determined by Log-rank (Mantel-Cox) test. **P ≤ 0.01. (B) Development of CD4+ T-cells after HTLV-1 infection. The proportion of human CD4+ T-cells as a percentage of the total human CD45+ lymphocyte population is shown. (C) PBMCs were isolated from mouse spleens, and genomic DNA was extracted for qPCR to detect proviral load using primers targeting HTLV-1 gag/pol. Statistical significance was determined by one-way ANOVA, and multiple comparisons were adjusted by Dunnett’s method. *P ≤ 0.05. (D) RNA extracted from PBMCs was subjected to cDNA synthesis followed by qPCR to detect viral gene expression. Viral transcripts were evaluated by normalizing tax or hbz copies per 106
gapdh to proviral load. Symbols in (B) and (C) represent proviral load and viral transcripts per proviral copy number, respectively, in a single inoculated mouse and bars represent the mean. (WT n = 9, M3 n = 6, ΔHbz n = 9, and SAm n = 10). | PMC10309998 | ppat.1011459.g006.jpg |
0.459085 | fcab7b9353b5411f9499913e8de3d08b | Chemical structures of LSD, 1cP-AL-LAD, 1cP-MIPLA, 1V-LSD, LSZ, 1cP-LSD and 1B-LSD | PMC10310582 | 11419_2023_661_Fig1_HTML.jpg |
0.508347 | f2b31bf1610d4c6eb2ce82df3c6a76e1 | LC–PDA–MS analysis of sheet A; PDA chromatogram a, TIC b, and UV and ESI mass spectra of peak 1 c, d | PMC10310582 | 11419_2023_661_Fig2_HTML.jpg |
0.42633 | 9913a729366040cdbcd391539e2a56b9 | GC–MS analysis of sheet A; TIC a, EI mass spectrum of peak 1 b | PMC10310582 | 11419_2023_661_Fig3_HTML.jpg |
0.554728 | 5466ed5706144d6596643c95e02d265b | COSY and HMBC correlations of LSD analogs | PMC10310582 | 11419_2023_661_Fig4_HTML.jpg |
0.463439 | d5ecd48ddea944d1b0b1750e282c2d27 | LC–PDA–MS analysis of sheet B; PDA chromatogram a, TIC b, and UV spectra of peak 2 c and of peak 2b d, and ESI mass spectra of peak 2 e and of peak 2b f | PMC10310582 | 11419_2023_661_Fig5_HTML.jpg |
0.509045 | 2763db75e8154db49d5979e97201a319 | GC–MS analysis of sheet B; TIC a, EI mass of peak 2 b | PMC10310582 | 11419_2023_661_Fig6_HTML.jpg |
0.386426 | 5dc39093e71b48c8ac8b4524987bcfee | LC–PDA–MS analysis of sheet C; PDA chromatogram a, TIC b and UV spectra of peak 3 c and of peak 3b d, and ESI mass spectra of peak 3 e and of peak 3b f | PMC10310582 | 11419_2023_661_Fig7_HTML.jpg |
0.469802 | 8563916e11554e8286fb3d5dbbb44fc3 | GC–MS analysis of sheet C; TIC a, EI mass of peak 3 b | PMC10310582 | 11419_2023_661_Fig8_HTML.jpg |
0.447591 | a7ab7eb15e3642a1b49ba78efea3a307 | Brain MRI of the patient. (A, B) MRI performed at the initial examination. (A) Axial T2-weighted image reveals periventricular and deep white matter hyperintensities. (B) Diameters of the midbrain, pons, and medulla oblongata (MO) are 14.9 mm, 23.3 mm, and 10.1 mm, respectively, on the midsagittal T1-weighted image. (C) MRI performed after a minor head injury shows no prominent changes. The diameters of the brainstem sections were measured as the anteroposterior distance according to the method proposed by Yoshida et al. (7). | PMC10310951 | fneur-14-1139047-g0001.jpg |
0.426439 | 79ae625c4144463e9e58777b9a9444cb | Cervical spine MRI of the patient at the initial examination. (A) Sagittal T2-weighted image reveals unevenly shaped hydromyelia at the cervicomedullary junction (CMJ). (B, C) Axial T2-weighted images at the level of the rostral medulla oblongata (MO) show normal findings in the absence of signal abnormalities in the pyramids. (D) Axial T2-weighted image at the level of the caudal MO reveals bilaterally symmetric hyperintensities around the central canal, resembling angel wings. (E) Axial T2-weighted image at the level of the CMJ reveals a hydromyelia and signal abnormalities radiating laterally from the central canal. (F) Axial T2-weighted image at the C2 vertebral level shows the cervical cord with normal appearance. | PMC10310951 | fneur-14-1139047-g0002.jpg |
0.471485 | 7c5ab5dbd4e044648bd525253ca0bf48 | PRISMA 2020 flow diagram for new systematic reviews which included searches of databases, registers, and other sources. *TFM, Theory, framework or model. Adapted from Page et al. (19) with permission under the Creative Commons CC BY 4.0 license. For more information, visit http://www.prisma-statement.org/. | PMC10311067 | fpsyt-14-1158145-g0001.jpg |
0.451548 | 6378f60caa804461a272e8bab87dba85 | A,B) intraoral examination showing a single blue-reddish swelling on the left maxillary canine-premolar region | PMC10311231 | PAMJ-44-141-g001.jpg |
0.4196 | 15a383bc788b4f649f8413cfbc51f4b9 | intra-oral view: the site after excisional biopsy and complete curettage | PMC10311231 | PAMJ-44-141-g002.jpg |
0.495509 | db66300da0894cd49ef3006249c79f04 | histological study showing the predominance of multinucleated giant cells surrounded by mononuclear stromal cells and extravasated red blood cells | PMC10311231 | PAMJ-44-141-g003.jpg |
0.404011 | 9119c69051fa4a40ac3c87525824faa6 | Summary of the pathway enrichment analyses for KEGG terms. | PMC10311443 | fpsyt-14-1145375-g001.jpg |
0.400228 | f0c140e6ecd04e2a9d90e2bfb9240229 | Summary of the pathway enrichment analyses for GO terms. | PMC10311443 | fpsyt-14-1145375-g002.jpg |
0.486325 | c140680b833f4f80a3223c74bad83730 | Heterogeneity in immune sensitivity mechanisms. | PMC10312307 | fimmu-14-1162706-g001.jpg |
0.393144 | 4f9d66b3dc0e4648845476757cb2ae82 | DepMap dependency analyses allow understanding of heterogeneity in immune resistance mechanisms. (A) Volcano plot that compares the gene perturbation effects in TNFHi [i.e., >0.5 log2(TPM+1)] and TNFLo (i.e., 0 read counts for TNF) cell lines. (B) Comparison of the effect of TRAF2 knockout in TNFHi and TNFLo cell lines. (C) Schematic diagram indicating the populations analyzed in the panels that follow. Only TNFHi cell lines were used in the analyses. (D–I) Violin plots of the expression of indicated genes for the indicated populations (cell lines were deemed sensitive when their CERES score was < -0.3 and insensitive when their CERES score was > -0.1). Statistics were performed by Student t test. The solid white line indicates the population median, with the bottom and top dashed white lines indicating the first and third quartiles, respectively. (J) Volcano plot comparing the gene perturbation effects in TNFSF10
Hi [i.e., >5 log2(TPM+1)] and TNFSF10
Lo (i.e., 0 read counts for TNFSF10) cell lines. (K) Comparison of the effect of CFLAR knockout in TNFSF10
Hi and TNFSF10
Lo cell lines. (L–O) Violin plots of the expression of indicated genes for the indicated populations. Statistics were performed by Student t test. The solid white line indicates the population median, with the bottom and top dashed white lines indicating the first and third quartiles respectively. **p < 0.01, ***p < 0.001, ****p < 0.0001. | PMC10312307 | fimmu-14-1162706-g002.jpg |
0.487438 | 9d5900e0aaf6468196cd244622979f69 | DepMap drug analyses allow for the potential exploitation of heterogeneity in immune resistance mechanisms. (A) Volcano plot that compares the drug treatment effects in TNFHi (i.e., >0.5 log2(TPM+1)) and TNFLo (i.e., 0 read counts for TNF) cell lines. (B) Comparison of the effect of birinapant in TNFHi and TNFLo cell lines. (C) Violin plots of the drug effects of ZD-7114 for the indicated populations. Statistics were performed by Student t test. The solid white line indicates the population median, with the bottom and top dashed white lines indicating the first and third quartiles respectively. (D) As (C), but for CAY10576. **p < 0.01, ***p < 0.001, **** p < 0.0001.. | PMC10312307 | fimmu-14-1162706-g003.jpg |
0.402148 | 2939377638bd4e4a995468fcf7730e46 | Methodology for conducting FGDs and Thematic analysis | PMC10312410 | JEHP-12-119-g001.jpg |
0.453957 | 69b0e2cc65ee40e7a0b5795ca547155c | NT-ESCs, but not iPSCs, faithfully reprogram replication timing.A. Derivation of NT-ESCs, iPSCs, and ESCs. Box: summary of DNA replication timing differences between stem cell types. iPS cell lines were created using the standard four Yamanaka factors. Panel created with Biorender.com. B. Four NT-ESCs (purple) were compared to isogenic iPSC (green) in sliding windows along the genome using ANOVA. Ten of 26 variants are shown (the remainder are shown in Fig. S2A and B), including the eight most significant variants of the 14 which overlapped ESC/iPSC variants (left), and the two most significant of the remaining 10 unshared variants (right). C. iPSCs (green) were compared to ESCs (blue) using an empirical ANOVA scan at a 5% FDR cutoff (Methods). The eight variants on the left are the same as those shown in B. Windows shown are centered around the ESC/iPSC variants with +/− 3Mb flanking on either side. As these were the primary variants we considered (see below), the variants in B were aligned to these same coordinates. The most significant of the remaining 12 variants are shown on the right. The remaining variants are shown in Fig. S2A and C. D. A Venn-diagram of ESC/iPSC and NT-ESC/iPSC variation compared with the rest of the profiled autosomes. Overlap between ESC/iPSC variants and NT-ESC/iPSC variants was significant when compared to 1000 permutations (p = 5.1 x 10−82; Methods). | PMC10312660 | nihpp-2023.06.12.544654v1-f0001.jpg |
0.403618 | 2d94f9e715964b0288d71d6be374178a | Heterogenous replication delays in iPSCs.A. Correlation of replication timing between ESCs (rows) and iPSCs (columns) at non-variant regions (left) and at ESC/iPSC variant regions (right). B. Replication timing difference from the ESC mean for each individual iPSC line. Values are shown as squares for replication timing earlier than the ESC mean, and circles for replication timing later than the mean; the size of each marker reflects the extent of advance/delay at the region of maximum variation (scale to the right). Replication timing is shown for each of the 26 variant regions, first separated into iPSC delayed (left) and iPSC advanced (right), and then ordered from left to right by significance (based on the p-values from Fig. 1C and S2A,C; variants are labeled by chromosome first and then numbered in increasing p-value order; i.e., chr8 #2 is the second lowest p-value variant on chr8). The iPSC mean (green) is shown in the top row, and values for each cell line are indicated as more variant than the mean (orange; e.g., later than the mean at a delayed variant), or less variant (grey; e.g., earlier than the mean at a delayed variant). Cell lines are ordered by the percentage of regions which are more variant than the mean (values on the right). The six cell lines which were more variant than expected by chance (binomial test, see text) are indicated in bold and classified as aberrant iPSCs, while the remaining twelve were classified as ESC-like. C. Six example variant regions, with the six aberrant iPSCs shown in orange. The first five variants were iPSC-delayed, while the bottom right variant is iPSC-advanced. | PMC10312660 | nihpp-2023.06.12.544654v1-f0002.jpg |
0.496773 | 2975b1d5760846c493e84dc1dc0535dd | Replication timing variants are located in heterochromatic regions near centromeres and telomeres.A. Whole genome plot of the mean ESC and iPSC replication timing profiles. Variant regions are shaded, and variants within 10% of chromosome arm length of telomeres (purple) and centromeres (orange) are indicated. B. Histogram of the relative locations along the chromosome arm of the 26 variants (blue; left y scale) compared with 1000 random permutations of variant region locations across the genome (grey; right y scale). Distance is calculated between the middle of each variant and the nearest telomere and normalized by the length of the chromosome arm. Variants within 10% of telomeres or centromeres were considered as centromere- or telomere-proximal, respectively. C. Analysis of histones in telomere-proximal variants (left) and centromere-proximal variants (right) based on ChIP-seq data (ENCODE). Bars indicate enrichment/depletion two-sided t-test p-value of each chromatin mark (purple: active marks, green: repressive marks) in variants compared to 1000 replication timing matched permutations. Each chromatin mark was considered to be independent, and the Bonferroni corrected p-value threshold (.05/32) is shown in red. Telomere-proximal variants are significantly enriched for the histone mark H3K9me3, while centromere-proximal variants are nominally enriched for H3K9me3 and significantly depleted of H3K4me1. D. Same as C for ChromHMM states in telomere-proximal variants (left) and centromere proximal variants (right). Because these states are by definition mutually exclusive, we considered a cutoff of p = 0.05 for significance (red line). ChromHMM state counts were defined by the number of base pairs belonging to each state in variant regions and permutations. Both sets of variants were enriched for heterochromatin and depleted for quiescent regions. | PMC10312660 | nihpp-2023.06.12.544654v1-f0003.jpg |
0.471003 | d71b27c759e24f57ab4f4f629d70bd42 | Regions of iPSC replication timing variation correspond to differential CG and non-CG DNA methylation.A. Distributions of CG DMRs in 1000 permutations of ESC/iPSC variant regions (Violin plots; see Methods). Distributions were smoothed using the ksdensity MATLAB function with robust kernel estimation (via the DistributionPlot function). The total number of the CG DMRs in variant regions is represented as a purple dot; two-tailed p-value calculated from z-score compared to the distribution is indicated (purple font indicates a significant p-value). B. Similar to A, for regions of non-CG hypomethylation in iPSCs. Because all non-CG DMRs were either hypermethylated or hypomethylated (unlike in A where most DMRs were unclassified), only these two sets of DMRs were compared to variant regions. Additionally, due to the larger size of these non-CG DMRs, overlap was calculated as cumulative percentage of each replication timing variant spanned by the DMR (see Methods). Because the iPSC hypermethylated non-CG DMRs (orange) were on average smaller than replication timing variants (mean sizes of 526Kb and 2.92Mb, respectively), the distribution of overlaps follows several discrete modes. The hypomethylated non-CG DMRs (red; mean size of 1.38Mb) were larger, and thus the distribution of overlaps was smoother. C. The nine ESC/iPSC variant regions that overlapped a non-CG iPSC hypomethylated regions are shown with corresponding differentially expressed genes (DEGs) and DNA methylation data. iPSC CG DMRs are shown as vertical black lines (and are enriched in variant regions, see A), while those consistently hypermethylated in iPSCs are indicated in orange. Non-CG methylation levels (ranging from 0 to 1 after normalization) are plotted for the mean of two ESCs (blue) and the mean of five iPSCs (green); red boxes: non-CG DMRs hypomethylated in iPSCs (see Methods for methylation data processing) | PMC10312660 | nihpp-2023.06.12.544654v1-f0004.jpg |
0.376892 | 3f38da6aa2b84fa392f4dd9c909e2ac8 | Replication timing aberrations persist after differentiation to NPCs.A. Replication timing profiles for ESC-derived NPCs (blue), ESC-like iPSC-derived NPCs (green), and aberrant-derived NPCs (orange) on the p arm of chromosome 6. An iPSC/ESC replication timing variant region (grey shaded area) is maintained through differentiation. B. Replication timing profiles for NPCs at the sixteen regions where aberrant-derived iPSCs were significantly different from ESC-derived NPCs at the genome-wide Bonferroni threshold (p = 9.58 × 10−7). Significant regions were also required to show the same direction of effect (delayed in all validated cases) as the ESC/iPSC variant (this removed two regions of variation). | PMC10312660 | nihpp-2023.06.12.544654v1-f0005.jpg |
0.423176 | 4566c34ff2ab45c9977b64f52aebd838 | A) Workflows implemented in dadi-cli. Blue arrows indicate a workflow for inferring a demographic model from putatively neutral mutations. Red arrows indicate a workflow for inferring a distribution of fitness effects (DFEs) from selected mutations. Hexagonal nodes indicate subcommands for which parallel processing is implemented. B) Split-migration demographic history model. C) Illustrative lognormal distribution of fitness effects (DFE) of new mutations. D) Model assessment plot. The upper-left panel shows the data allele frequency spectrum (AFS), and the upper-right shows the demographic history plus DFE model AFS. The lower-left panel shows the scaled residuals for each entry in the AFS, and the lower-right shows a histogram of the scaled residuals. | PMC10312675 | nihpp-2023.06.15.545182v1-f0001.jpg |
0.396089 | 53f2bf103ba44d3198fd7f16dc63ccd9 | Gene-based analyses results for SICI.A Gene Manhattan plot. B Gene QQ (quantile-quantile) plot. Note: The dotted red line in (A) is the genome-wide significant threshold p = 2.691 × 10−6. MARK4 Microtubule Affinity Regulating Kinase 4, PPP1R37 Protein Phosphatase 1 Regulatory Subunit 37, GEMIN7 Gem Nuclear Organelle Associated Protein 7, C11orf21 Chromosome 11 Open Reading Frame 21, MARK2 Microtubule Affinity Regulating Kinase 1, RCOR2 REST Corepressor 2, TRA2B Transformer 2 Beta Homolog, NKPD1 NTPase KAP Family P-Loop Domain Containing 1, KRBA1 KRAB-A Domain Containing 1, TARDBP TAR DNA Binding Protein. | PMC10313655 | 41398_2023_2532_Fig1_HTML.jpg |
0.418615 | d5cd5a67031a42fbac168c64e47ef02b | Gene-based analyses results for CSP.A Gene Manhattan plot. B Gene QQ (quantile-quantile) plot. Note: The dotted red line in (A) is the genome-wide significant threshold p = 2.691 × 10−6. EGFLAM EGF Like - Fibronectin Type III and Laminin G Domains, FHL2 Four And A Half LIM Domains 2, SPTB Spectrin Beta Erythrocytic, PCK1 Phosphoenolpyruvate Carboxykinase 1, NOTCH4 Notch Receptor 4, AOX1 Aldehyde Oxidase 1, C17orf103 N-Acetyltransferase Domain Containing 1, GNG11 G Protein Subunit Gamma 11, TNFAIP6 TNF Alpha Induced Protein 6, FRYL FRY Like Transcription Coactivator. | PMC10313655 | 41398_2023_2532_Fig2_HTML.jpg |
0.454273 | 16fdcd8bdc77404ca4aad7d0c82c0d63 | CONSORT flow diagram. | PMC10314017 | archdischild-2022-325151f01.jpg |
0.411172 | 673ba75aa9914cad977e296117c5bdb1 | Outcome improvement process flow. | PMC10314652 | bmjopen-2023-071860f01.jpg |
0.442947 | 2c49aa6735004f508d5f823fd650b52b | Intraoperative complications rate in cataract surgery in 10 study hospitals (H1–H10). | PMC10314652 | bmjopen-2023-071860f02.jpg |
0.426388 | 76928ff7163e4c4ab4a272ce63ff510e | Percentage of patients with uncorrected visual acuity (≥6/12 (20/40)) at postoperative follow-up visit (2–7 weeks) in 10 study hospitals (H1–H10). | PMC10314652 | bmjopen-2023-071860f03.jpg |
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