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0.464679 | 5f9aadddb80148c9b3e904e141f955c3 | COD as a function of distance apart for outdoor PurpleAir monitors (blue) and indoor PurpleAir monitors (red). | PMC10181715 | sensors-23-04387-g004.jpg |
0.446278 | 481e09c1d2a344629a027356e35c8e35 | General testing setup used to determine the experimental rotation and translation tolerances, which also carried out the performance analysis of the algorithms proposed. The PC works as a master and a datalogger for controlling and receiving data from the collaborative robot and the camera. The servomotor Qrob70, linear actuators, and IMU are used to introduce and read random values in the rz and rx axis with respect to the robot axis when real tests are performed. | PMC10181754 | sensors-23-04527-g001.jpg |
0.444393 | 2b98a7034091499b8745a2a5cf073f4f | Rotation and translation tolerances between a fastener and socket wrench. The complete analysis of parameters is described in the Appendix A. (a) Theoretical rotation tolerance ψ as functions of ISO [17,18,19,20] and patents [21,22,23,24] manufactured when the fastener turns from the point I (red) to point F (green) inside the socket wrench (black) with groove angle (blue). (b) Theoretical translation tolerance Δx=Δwx+Δdx,Δy=Δwy+Δdy as functions of ISO tolerances inside of the socket wrench (black) [17,18,19,20] of fastener (red) with socket (blue), and (green) square drive with (purple) square coupling (green). | PMC10181754 | sensors-23-04527-g002.jpg |
0.430577 | dfcbbaaee6c64f5ba7d21fc114d4e26f | Architecture to determine the experimental translation and rotation tolerances in variuos fastener sizes (M6, M8, M10, M16, and M24). The robot moves several points in Cartesian coordinates (x,y) and a rotation (rz) around the fastener to determine when the tool can be inserted. Position and force data from the collaborative robot are sent by Profinet to a datalogger implemented in a virtual Beckhoff PLC mounted in a PC. | PMC10181754 | sensors-23-04527-g003.jpg |
0.440655 | ed098c06199e46bfb5a3f3123a2e09a9 | Experimental study of the translation tolerances between the center of the M6 fastener and the socket wrench. There are three possible cases: (a) proper insertion, interaction force less than 14 N (blue); (b) insertion with compliance, interaction force between 14 and 21 N (orange); and (c) failed insertion higher than 21 N (red). As result, proper insertion is achieved with a tolerance of ±0.75 mm. | PMC10181754 | sensors-23-04527-g004.jpg |
0.428086 | b22928b2e7ff440caa4c4a68c171ebf5 | Experimental study of rotation tolerances using fastener metrics (M6, M8, M10, M16, and M24). The curve lines represent the result of tests carried out when the robot rotated the socket wrench to a certain degree around the fastener. There are two possible cases: (a,b) proper insertion (green), (c) failed insertion (red). The rotation tolerance is the STD value ψ±Δ around the average value ψ. | PMC10181754 | sensors-23-04527-g005.jpg |
0.425257 | 837daaf5619844798ca8c9360955f0ab | Distorted inference masks obtained from the SNN tested. (a) Unet, for which the mask is not particularly well-defined when new data are presented for detection. (b) Mask RCNN presents ripples in the edges; however, it is more robust to new fastener images. (c) Deeplab MovilNetV2 presents deformations in the mask. | PMC10181754 | sensors-23-04527-g006.jpg |
0.433272 | cb1da06cb1444acdba4ec3ff85e64b1e | Definitions of parameters used in a fastener photo. Camera reference xcam,ycam; camera field of view FOVh,FOVw (blue). Fastener field of view FOV_fh,FOV_fw (red). Δh,Δw displacement tolerance. Distance between two fastener vertices, AB, AC, AD. Distance from center to vertex AE. Fastener size s=AC=2∗EF. | PMC10181754 | sensors-23-04527-g007.jpg |
0.549831 | a9a343eb662f49359c8f7e73057c7845 | Proposed methodology described in the Algorithm 1 to obtain the center and vertices. (a) Obtain a mask from SNN. (b) Find contours and remove outliers contours. (c) Convex hull contour and obtain the center. (d) Convert contour to lines. (e) Clustering lines. (f) Fuse groups of lines and obtain the intersection between them to obtain potential vertices. | PMC10181754 | sensors-23-04527-g008.jpg |
0.427202 | 5c398e1c3a534f7fa80c04db28f58faf | The architecture used to take photos of various fastener sizes (M6, M8, M10, M16, and M24) with fixed and variable FOV. FOV, focus, pixel size, and exposure were determined from Equations (1), (2), (3), and (4), respectively, and the values are shown in Table 5. | PMC10181754 | sensors-23-04527-g009.jpg |
0.453977 | 2ecca57ef07b43a09f044cf8930fad01 | Some fastener photos used to test the algorithm proposed. The upper photos show a variable FOV defined by a tolerance in millimeters, whereas the bottom photos show a constant FOV defined by a variable tolerance in pixels. Photos with variable FOV (1) (a) M6, (b) M8, (c) M10, (d) M16, and (e) M24. Photos with constant FOV (1) (f) M6, (g) M8, (h) M10, (i) M16, and (j) M24. | PMC10181754 | sensors-23-04527-g010.jpg |
0.407742 | 34a56c8860374f98a25b9ce735dfeddd | Random examples created by the augmentation image algorithm in the synthetic dataset. (a) Original image. (b–j) Images created using a combination of the augmentation Blur, GaussNoise, HueSaturationValue, RandomBrightnessContrast, RandomGamma, and MotionBlur. | PMC10181754 | sensors-23-04527-g011.jpg |
0.492814 | 09339067ee464b83a6efbd5a7302f22d | Test bed to execute a real example application using an M10 fastener. The robot starts in random positions (x,y) and the servomotor Qrob70 rotates the fastener an rz random turn; a linear actuator creates uncertain positions in rx based on a robot base coordinate, and the rx rotation is measured using an IMU. The force of the robot is measured to confirm that the task has been carried out properly. The video shows some tests in different illumination conditions. | PMC10181754 | sensors-23-04527-g012.jpg |
0.418999 | f5955147f2f044dcb8c0172db5c32071 | Tests using the proposed algorithm when the SNN cannot obtain defined masks. The best vertex and center with a deformed mask can be detected when different fasteners and illumination are used. (a–c) Test 1 with an M19 fastener. (d–f) Test 2 with an M16 fastener. (g–i) Test 3 with an M16 fastener. The left-hand images are the original image with the mask inferred by the SNN (red). The middle images are the mask improved with the convex hull technique (red). Intersection lines (blues) after the edges are transformed into lines and are clustered in groups. Vertices formed at the intersection of the lines (green). The right-hand images are the best vertex (blue-green) and the center (yellow-green) detected. | PMC10181754 | sensors-23-04527-g013.jpg |
0.433246 | 3f8a0fc13cf54427a71663c373b9fe47 | Brightness correction using the auto-exposure condition (4) with a 40,202 lux illumination environment. In the beginning, the camera took a photo to check the actual average pixels, after which some iterations were required to obtain the average grayscale (84), which was calculated from previous images in the dataset. (a) Iteration 1, 206 average pixel value. (b) Iteration 2, 103-pixel value. (c) Iteration 3, 88-pixel value. | PMC10181754 | sensors-23-04527-g014.jpg |
0.427592 | bfd03c67430844279a677990a8af61e5 | Rotation error ψ as functions of groove angle α, when the fastener turn from point i (red) to point f (green) inside the socket wrench (blue). Purple ellipse is zoom zone when fastener hits with a groove angle. Variables in the image are described above. | PMC10181754 | sensors-23-04527-g0A1.jpg |
0.455288 | be8cb76ec0144dd196220535822c63ee | Polyethylene-based plastic passive samplers used for the detection of SARS-CoV-2 GC in wastewater (left and middle photos), and the location of the 13 passive samplers (red) across the city of Leipzig. Green: Location of the WWTP. | PMC10181866 | gr1_lrg.jpg |
0.402721 | 55f56282561545e48b1474c690d45f0c | Passive samplers used for the detection of SARS-CoV-2 GC in wastewater at district-scale level. From left: polyethylene-based plastic sampler, cotton-cloth sampler and unravelled polypropylene plastic rope sampler. | PMC10181866 | gr2_lrg.jpg |
0.392897 | 8fbed82df6fc49c98eadf78369e4c30e | Detection of SARS-CoV-2 GC in passive samplers in wastewater as aggregate data across the city of Leipzig in 2021 and 2022 (framed). Solid line, boxes, and whiskers: median, IQR and 1.5 × IQR, respectively. | PMC10181866 | gr3_lrg.jpg |
0.492058 | 8106a1984c164b01987912cad53dce13 | Comparison of detected SARS-CoV-2 GC in passive samplers (green) across the city of Leipzig and in wastewater (blue) at the municipal treatment plant in Leipzig for 2021 and 2022, presented as aggregate data. Passive samplers were not sampled in the months April, Oct.-Dez. 2021 and March and July 2022. | PMC10181866 | gr4_lrg.jpg |
0.395854 | 1bb2cea2f2f04a80acee83c3e265e337 | Relationship between the weekly number of performed RT-qPCR tests carried out and the number of positive RT-qPCR tests from March 2021 to August 2022, separated for the year 2021 (black) and 2022 (red). Data on the number of RT-qPCR tests carried out and positive RT-qPCR tests were retrieved from the ‘Robert Koch Institute (RKI)’ (www.rki.de), which is the German federal government agency and research institute responsible for disease control and prevention. | PMC10181866 | gr5_lrg.jpg |
0.43111 | 8960e247ae7b42f096ce5319bac2057f | Detection of SARS-CoV-2 GC in wastewater as well as in passive samplers made of three different materials: cotton-cloth; plastic and unravelled rope in wastewater at district level in 2022. Solid line, boxes, and whiskers: median, IQR and 1.5 × IQR, respectively. | PMC10181866 | gr6_lrg.jpg |
0.399771 | 18240b77aabe42e1842ff17b81b23a79 | Comparison of detected SARS-CoV-2 GC in passive samplers at city-scale level (green) and district-scale level (dark blue) in wastewater from March–August 2022, presented as aggregate data. | PMC10181866 | gr7_lrg.jpg |
0.455345 | e4c5f611dbb546ef9ac1711a56757c47 | Hydrogen production following light and dark fluctuations.Mixotrophic C. reinhardtii wild-type cultures (strain CC124) were incubated for an hour under dark anaerobiosis, after which they were challenged with light fluctuations of 2 min under illumination (at an irradiance of 370 µmol photons m−² s−¹, white background), followed by 3 min of darkness (gray background). Shown are the differences between the initial light exposure (dashed) and the average of the successive exposures (solid). H2 (a) and O2 (b) concentrations were measured using MIMS, and Chl a fluorescence was measured simultaneously using PAM (c). During illuminations, the cells were exposed to saturating pulses (marked with a red arrow), to assess maximal fluorescence intensity. The same protocol was used to assess changes in electrochromic shifts (at 520–546 nm) by a JTS (d), for which the cells were exposed to a laser flash of 30 s prior to each light exposure (see black arrows in panel a). The right graphs in each panel show a comparison between the initial (dashed) and the average of all three successive (solid) exposures, relative to their state at light onset, or laser flash (time, 0). Each curve represents the averaged result of at least 3 biological repetitions. | PMC10182038 | 42003_2023_4890_Fig1_HTML.jpg |
0.427484 | b59f240728764997a3eb6ffbbd95d36f | Following dark anoxia, light exposure longer than 10 s gradually slows down electron output from PSII.a Mixotrophic C. reinhardtii wild-type strain CC124 cells were tested for H2 evolution in a MIMS. The cells were incubated for an hour under dark anaerobiosis, after which they were illuminated (370 µE m−² s−¹) for a duration of either 5, 10, 20, 30, 45, 60, 120, or 180 s (Exposure I, see bolted time scale). Presented here is the trace, which was measured by exposing the cells for a duration of 45 s in exposure I. Following the initial light exposure, the cells were kept in a darkness for 3 min (gray background) and illuminated again for 2 min, three times (Exposures II, III, and IV, white background). To compare the effects of the duration of exposure I on photosynthetic regulation, results which were measured during exposure II were plotted against the accumulated concentration of H2 (b) and photosynthetic efficiency, which was assessed by Chl a fluorescence measurements (c). Electrochromic shifts were determined by measuring changes in cells’ absorbance (520–546 nm). Three seconds following exposure I (see dashed arrow in panel a), the cells were exposed to a 5 ns laser flash, and charge separation was measured (d). The color index in all panels matches the duration of exposure I (ranging seconds): 5—purple, 10—blue, 20—cyan, 30—green, 45—light green, 60—yellow, 120—red, and 180—dark red. Each experiment was repeated using at least three biological replicates. Error bars indicate standard error (n ≥ 3). | PMC10182038 | 42003_2023_4890_Fig2_HTML.jpg |
0.359645 | 0cad8792af2341359aa5c993ccb370a5 | Purified PSII complexes show decreased activity at successive light exposures.PSII complexes were isolated from C. reinhardtii wild-type strain CC124 cells, and their activity was tested by a Pyroscience FireSting O2 probe, (a). The complexes were tested in the absence or presence of 10 mM (actual 7.5 mM) NaHCO3 to mimic high carbon conditions, and examined under either aerobic or anoxic conditions. Complexes were exposed twice for 10 s of light, with a dark period of a minute in-between. Shown are the rates of the 1st (blue) and 2nd (white) exposures, for each set of conditions. Also stated are the residual activity rates between each aligned exposure (according to the averaged rate). Complexes in the presence of NaHCO3 were also tested during increased periods of illuminations of 5, 10, 20, or 30 s (purple, blue, cyan, and green, respectively), under either aerobic (striped) or anoxic (solid) conditions in the presence of 10 mM (actual 7.5 mM) NaHCO3 (b). Presented are the residual rate of O2, which was accumulated in the second exposure, compared to the initial illumination. The table below presents the rates of the 1st and 2nd exposures for each treatment (µmol O2 mg Chl−1 h−1) as well as the repetitions number for each result. In addition, the difference between the aerobic and anoxic treatments were analyzed using a student t-test. P-values are stated for each couple. Each experiment was repeated using at least three biological replicates. Data is presented in box plots. | PMC10182038 | 42003_2023_4890_Fig3_HTML.jpg |
0.501557 | 14b1dd0041c343e695d177035fe93fef | A dark anoxic incubation reestablish the initial fast electron flux.Following an hour of dark incubation in the presence of O2 scavengers (GOx), C. reinhardtii wild-type strain CC124 cells were subjected to a series of fixed duration of light exposures (370 µE m−2 s−1 for 2 min, white background) hatched with an increasing duration of anoxic dark incubations 0–15 min. a H2 accumulation as a function of the preceded dark incubation time (gray background) between fixed 2 min of irradiance. The production of H2 in each light exposure was measured by MIMS and the trace is highlighted according to its preceding duration of dark incubation (initial exposure, 0—dashed, 3 min—purple, 5 min—blue, 7 min—green, 10 min—yellow, 15 min—red, additional 3 min—dotted pink, the same color index was used for all the traces in all panels). b To assist the comparison between the differences in H2 accumulation traces shown in panel a, all the traces measured at each light period are plotted at once using a single fixed time frame. c To assess the changes in the PSII photosynthetic efficiency, Chl a fluorescence was simultaneously measured. During each illumination, the cells were exposed to a saturating pulse and maximal fluorescence (Fm’) was determined. Photosynthetic efficiency was then normalized to Fm’. d Thermoluminescence of intact algal cells was measured after 2 single turnover flashes (STF) spaced 1 s apart. Samples were measured following an hour of dark anaerobic incubation (gray). Then, they were illuminated for 2 min followed by a dark relaxation of either 5 (blue) or 15 (red) minutes, and the temperature in which the maximal values for the B-band were detected. The gained values were plotted in box plots. Each experiment was repeated using at least three biological replicates. | PMC10182038 | 42003_2023_4890_Fig4_HTML.jpg |
0.407018 | 27189e453ab94b498800e52784becac9 | Timeline of the design: From left to right: SAP = straight ahead pointing, PD = proprioceptive drift, LM = Landmark, RHI = Rubber Hand Illusion, SG = synchronous stroking group, AG = asynchronous stroking group, 1 indicates the pre-measure, 2 indicated the post-measure. See Task/Stimuli for details of the tasks. | PMC10182095 | 41598_2023_34620_Fig1_HTML.jpg |
0.452848 | 5dd7993f6a0d4cd1a7a453f199376a80 | (A) Experimental set-up (not drawn to scale) and dimensions for the landmark task, top = experimenter, bottom = participant, one trial of the landmark is shown. (B) Set-up of proprioceptive drift with an occluder covering the lower arms (C) All possible landmarks (not drawn to scale). Only one of these landmarks was shown each trial. Each trial started with a static dot (either left or right from the center of the screen) that disappeared when the landmark appeared. (D). Hand positioning during the rubber hand illusion. Note that the dotted (real) arm was occluded by a black occluder. Only the added left rubber hand and the real right hand were visible to the participant. | PMC10182095 | 41598_2023_34620_Fig2_HTML.jpg |
0.515864 | 9ac6de07ac664859a71837b9e89b1b24 | Boxplot of the data on the ownership questionnaire (see text for details). The panel shows the average score on the ownership scale (question 1–3) and control scale (question 4–10) for the Synchronous stroking Group and Asynchronous stroking Group (including individual scores). Error bars represent the 95% confidence intervals. (see also Supplementary Table 1). | PMC10182095 | 41598_2023_34620_Fig3_HTML.jpg |
0.420719 | e2cbc724f3b9461fa4d7bc7f47f15c51 | Average estimates in cm of proprioceptive localisation (i.e. difference between pre- and post-illusion) for the synchronous stroking and asynchronous stroking groups for the left index finger. Error bars represent standard error of the mean (see also Supplementary Table 1). | PMC10182095 | 41598_2023_34620_Fig4_HTML.jpg |
0.401274 | 573a105d859640e28f0b7137bc9a001f | Average shifts in point of subjective equality (PSE) on the landmark task (i.e. difference between pre- and post-illusion) for the synchronous stroking and asynchronous stroking groups. The PSE is depicted in mm for convenience but has been analyzed in pixels. The error bars depict the standard error of the mean (see also Supplementary Table 1). | PMC10182095 | 41598_2023_34620_Fig5_HTML.jpg |
0.508741 | 0d8609c793c44f2d8835173942b62fb7 | Average shifts in pointing straight ahead (i.e. difference between pre- and post-illusion) for the synchronous stroking and asynchronous stroking groups. The error bars depict the standard error of the mean (see also Supplementary Table 1). | PMC10182095 | 41598_2023_34620_Fig6_HTML.jpg |
0.441905 | d40726879f5c4c99ae30b483e9e2981c | Study population.This flowchart illustrates how the study population was selected. | PMC10182997 | 41533_2023_342_Fig1_HTML.jpg |
0.459373 | 6d60f2e6abfc41e28a68a40fe064b678 | Bacterial composition of supragingival (H = Healthy, C = Caries) and subgingival (P = Periodontitis) biofilm samples of 179 study participants based on metagenomic sequencing results. A Significant differences in relative abundances (determined by beta regression) of the most abundant bacterial phyla in H, C, P; B significant differences in relative abundances of bacterial genera in H, C, P (> 5%) and C relative abundances of the 10 most abundant bacterial species in H, C, P. Statistical difference were evaluated using a beta regression with a logit or loglog link function depending on the model fit *< 0.05; **< 0.01; ***< 0.001. Healthy (H; n = 63, 60.3% female), Caries (C; n = 61, 31.1% female), and Periodontitis (P; n = 55, 41.8% female) | PMC10183135 | 12941_2023_585_Fig1_HTML.jpg |
0.457699 | 23e9a0fce35e4df8a4077a4542c06b6f | Differences within the microbiota in oral biofilm samples of 179 study participants in three different groups and three study centres based on metagenomic sequencing. A PCoA depicting the beta-diversity based on Bray–Curtis dissimilarity of the microbial communities in H, C, P (colours) and the three study centres (shapes; R2 = 0.155, p = 0.0001); B comparison of the mean relative abundance in H, C, P (≥ 1% in at least one group). The species shown are significantly differentially abundant between at least two groups based on DESeq2 with a log fold change > 2.5; numbers indicate the mean relative abundances. Healthy (n = 63, 60.3% female), Caries (n = 61, 31.1% female), and Periodontitis (n = 55, 41.8% female) | PMC10183135 | 12941_2023_585_Fig2_HTML.jpg |
0.460974 | d1344439ce604241b1a208650ce8086b | Detection of antibiotic resistance genes (ARGs) in oral biofilm samples of 179 study participants from three study centres divided into three different groups, based on metagenomic sequencing. A Prevalence of ARGs according to antibiotic classes and antibiotics; corresponding ARGs to specific antibiotics and antibiotic classes are listed in Additional file 1: Table S3; B Comparison of the 15 most prevalent ARGs in H, C, and P with significance determined by Firth’s logistic regression *p ≤ 0.05, **p ≤ 0.01 and ***p ≤ 0.001; C PCoA showing the ARG profiles of H, C, P (colours) and study centres (shapes); p = 0.0001; pairwise PERMANOVA: H vs C p = 0.001; H vs P p = 0.001; P vs C p = 0.001. Healthy (n = 63, 60.3% female), Caries (n = 61, 31.1% female), and Periodontitis (n = 55, 41.8% female) | PMC10183135 | 12941_2023_585_Fig3_HTML.jpg |
0.46646 | 16fbf245b0d64f8d9d99c790a4f40b87 | Hierarchical clustering of the detected ARGs in oral biofilm samples of three different groups of 179 study participants based on metagenomic sequencing: A PCoA showing three different clusters defining three resistotypes; B percentages of samples in H, C, and P belonging to each resistotype; C prevalence of eight ARGs underlying the resistotypes 1–3, with these ARGs being the most variable across the resistotypes. Healthy (n = 63, 60.3% female), Caries (n = 61, 31.1% female), and Periodontitis (n = 55, 41.8% female) | PMC10183135 | 12941_2023_585_Fig4_HTML.jpg |
0.457572 | dd8c453c22c04c25a2abc924e0bdfa4f | Hierarchical clustering of the bacterial taxa in oral biofilm samples of three different groups of 179 study participants based on metagenomic sequencing; A PCoA clustering of the microbial composition resulting in three clusters defining three ecotypes; B percentages of samples from H, C, and P belonging to each ecotype. Healthy (n = 63, 60.3% female), Caries (n = 61, 31.1% female), and Periodontitis (n = 55, 41.8% female) | PMC10183135 | 12941_2023_585_Fig5_HTML.jpg |
0.438957 | 176141a389684987b2578c34a1555e60 | Network analysis showing associations between antibiotic resistance and bacterial taxa in oral biofilm samples of 179 study participants. A The associations between ARGs and species/genera that were found through metagenomic sequencing. Each connection means that the resp. ARG was associated with the resp. taxon. The colour and width of the edges represent the number of samples in which the association between ARG and taxa was found. Only associations with taxa on the genus or species level are shown. B Associations between antibiotic resistance and bacterial species that were found from both the phenotypic testing and the metagenomic sequencing. The yellow edges indicate that association was only found in the phenotypic tests, the blue edges represent associations that were only found by sequencing, while the green edges are associations that were found by both methods | PMC10183135 | 12941_2023_585_Fig6_HTML.jpg |
0.437448 | 690bda70cc964cbe83175d141f831f35 | Comparison of phenotypic resistance (of 997 selected isolates and determined with Etest) and genotypic resistance (based on the detection of ARGs by metagenomic sequencing) in oral biofilm samples of 179 study participants. The heatmap shows percentages of matches of positive and negative results in the samples regarding a set of 13 antibiotics. Phenotype: phenotypic resistance but no genotypic resistance; Genotype: genotypic resistance but no phenotypic resistance; Match: both methods in agreement (resistance or no resistance); Missing: no phenotypic test. | PMC10183135 | 12941_2023_585_Fig7_HTML.jpg |
0.43161 | 1daa689e27dc4e7e82d0d179778f3d12 | Work flowchart.We took the intersection between 8,958 DEGs and 197 pyroptosis-related genes and got 37 pyroptosis-DEGs. The best prognostic gene was selected and the risk score was calculated. Then it is verified by GSE76427 and divided into low-risk group and high-risk group, 349 differentially expressed genes were identified from the two groups, the differential genes were functional annotation and immune analysis, finally the prognosis model was established. | PMC10183172 | peerj-11-15340-g001.jpg |
0.427476 | edf3cfd6c6404fac8dda642c174d5dd3 | Differentially expressed genes and their biological functions.(A and B) The volcanic map shows differentially expressed genes and differentially expressed pyroptosis-related genes. The abscissa is log2FoldChange and the ordinate is −log10 (adjusted P-value). The up-regulated differentially expressed genes are represented by red nodes, the down-regulated differentially expressed genes are represented by blue nodes, and the genes with insignificant differentially expressed genes are represented by black nodes. (C) A Venn diagram of differentially expressed genes and pyroptosis-related genes. The blue circle indicates the differentially expressed genes in the TCGA data set, and the orange circle indicates the pyroptosis gene. (D) The GO of differentially expressed pyroptosis-related genes. The color of the bar graph indicates the zscore of GO term, and the size of z-score indicates the activation or suppression of GO term. (E–G) The results of BP, CC and MF in the GO of differentially expressed pyroptosis-related genes. (H) The results of KEGG pathway enrichment analysis of differentially expressed pyroptosis-related genes. | PMC10183172 | peerj-11-15340-g002.jpg |
0.400004 | 92400f9b7b0f4bef9debc2f27f2d32dc | Construction of risk scoring model.Construction of risk scoring model. (A) This figure shows a correlation analysis of characteristic genes in HCC. (B and C) The photos represent the PCA analysis of characteristic genes in both TCGA-HCC and GSE76427 datasets. Red indicates low-risk groups and blue indicates high-risk groups. (D and E) Kaplan–Meier analysis revealed the effect of risk score on the overall survival of patients with HCC in TCGA-HCC and GSE76427. Red indicates the low-risk group and blue indicates the high-risk group. | PMC10183172 | peerj-11-15340-g003.jpg |
0.470838 | 2e04e2ff6918428c9816046ade821bc5 | Analysis of the predictive ability of risk score on the prognosis of HCC patients.(A) Univariate Cox analysis. (B) Multivariate Cox analysis. (C) Forecast model nomogram. (D–F) The calibration curve of the nomogram of the prediction model. The abscissa is the survival predicted by the nomogram, and the ordinate is the actual observed survival. The curve shows the prediction of the prognosis of the model for HCC patients for 1, 3 and 5 years. (G) Time-ROC curve for predicting 1-, 3- and 5-year survival of patients with hepatocellular carcinoma by nomograph model, (H) DCA curve for 1-, 3- and 5-year survival of patients with HCC by nomograph model. | PMC10183172 | peerj-11-15340-g004.jpg |
0.404506 | 88f0e6120fce41bbb51f080a742703fb | Differentially expressed genes between high-risk group and low-risk group.(A) The figure shows the volcanic map of differentially expressed genes between high-risk group and low-risk group. The abscissa is log2FoldChange and the ordinate is −log10 (adjusted P-value). The red node indicates the up-regulated differentially expressed genes, the blue node indicates the down-regulated differentially expressed genes, and the black node indicates the genes that are not significantly differentially expressed. (B) The PCA analysis of differentially expressed genes between high-risk group and low-risk group. (C–E) The results of BP, CC and MF in the GO biological function annotation analysis of the differentially expressed genes. (F) The result of KEGG pathway enrichment analysis of differentially expressed genes. | PMC10183172 | peerj-11-15340-g005.jpg |
0.42064 | 72948cb4887b4ecf9813836928e93898 | Copy number differences between high-risk and low-risk groups.(A–D) Genes with significant amplification and deletion. Error detection rate (Q value) and GISTIC2.0 of the change score (x-axis) corresponds to the genomic position (y-axis). The dotted line indicates the centromere. The green line indicates the 0.25 Q cut-off point for determining significance. These figures represent the copy number amplification of patients in the high-risk group, copy number deletion in high-risk group, copy number amplification in low-risk group and copy number deletion in patients in the low-risk group. | PMC10183172 | peerj-11-15340-g006.jpg |
0.439515 | 672d9831a8024a9c8c68678f4655b7ed | Drug sensitivity analysis of patients in high-risk and low-risk groups.(A–D) The horizontal axis represents the patient grouping, and the vertical axis represents the log10 (IC50) of the drug. These pictures in turn show the more sensitive hepatocellular carcinoma drugs in the high-risk group, the more sensitive hepatocellular carcinoma drugs in the low-risk group, the more sensitive other cancer drugs in the high-risk group and the more sensitive other cancer drugs in the low-risk group. | PMC10183172 | peerj-11-15340-g007.jpg |
0.42583 | 915b58334cab40489d5b7917d799f400 | GSEA analysis of gene expression data of high- and low-risk groups.(A) The GSEA-GO analysis of TCGA-HCC dataset. The abscissa is gene ratio, the ordinate is GO terms, and the color represents-log10 (p value). (B) The GSEA-KEGG analysis of TCGA-HCC dataset. The abscissa is gene ratio, the ordinate is GO terms, the node size represents the number of genes enriched in GO terms, and the node color represents −log10 (p value). (C) The first three items of GSEA-GO analysis of TCGA-HCC dataset. (D) The first three items of TCGA-HCC analysis of TCGA-HCC dataset. (E) The heat map shows the GSVA analysis of high-risk and low-risk groups. The horizontal axis is the patient ID and the vertical axis is the hallmark gene set. | PMC10183172 | peerj-11-15340-g008.jpg |
0.426776 | 7d21cbf44f1a42949f1dee2137399ae6 | Analysis of immune cell infiltration in high-risk and low-risk groups.(A) The heat map shows the distribution of immune cells in different risk groups. The horizontal axis is the patient ID and the vertical axis is the proportion of immune cells. (B) The results showed the difference of immune cell content among different risk groups. The horizontal axis is immune cells, the vertical axis is immune cell content, blue indicates patients in low-risk group, and orange indicates patients in high-risk group. (C) The results showed the correlation analysis between the prognostic risk score and the content of immune cells. The horizontal axis is the immune cells significantly related to the prognostic risk score, the vertical axis is the correlation score, and the color of the bar graph indicated the significance of the correlation, P < 0.05 means statistically significant. (D and E) This is the heat map of immune cell correlation between high-risk and low-risk groups. Blue indicates positive correlation and red indicates negative correlation. | PMC10183172 | peerj-11-15340-g009.jpg |
0.454521 | 93754b4288944b5d9d189e7f34ecef25 | PPI network.(A) Violin chart shows the difference of stromal score between high-risk and low-risk groups. Blue indicates patients in low-risk group, orange indicates patients in high-risk group, P < 0.05 means statistically significant. (B) A protein-protein interaction network of differentially expressed genes in patients of high- and low-risk groups. (C) The results of clueGO enrichment analysis in the protein-protein interaction network related to differentially expressed genes. (D) The hub genes in the protein-protein interaction network related to differentially expressed genes. | PMC10183172 | peerj-11-15340-g010.jpg |
0.446644 | 836f9ec65def440381e6d423a066ca6e | qRT-PCR results.Detection of MDK expression in hepatocellular carcinoma and adjacent tissues by qRT-PCR. An asterisk (*) indicates P < 0.05 vs paracancerous, n = 5. | PMC10183172 | peerj-11-15340-g011.jpg |
0.456121 | cd64b28325fa45d39e94227dfc1a7b24 | Immunohistochemical results.The three images on the left are cancer tissue after immunohistochemical staining with MDK antibody, and the three images on the right are cancer tissue after immunohistochemical staining with MDK antibody. | PMC10183172 | peerj-11-15340-g012.jpg |
0.491481 | 124e60a3e433413aafe3eafea187a9ff | Invited issue editor, Professor Young-Soo Park; taken at the International Society for Pediatric Neurosurgery held in Singapore in 2022. | PMC10183257 | jkns-2023-0034f1.jpg |
0.467668 | e47609a45bf845e8bd1585baee8a710d |
Evaluation flowchart for fertility preservation in women with endometriosis
| PMC10183860 | 10-1055-s-0041-1739234-ifebrasgostatement-1.jpg |
0.430703 | 6c4304eb2a6d49eabf121d2ce51fa4cb |
Automated breast ultrasound scanning unit (A) and transducer (B). Patient lies in a supine position with the arms above the head and the technician performs the study, using a 15 cm long transducer with slight pressure.
| PMC10183872 | 10-1055-s-0040-1722156-i200180-1.jpg |
0.463352 | abe7a15230f8416eb4ef8563a56c36d0 |
Automated breast ultrasound acquires images (A- lateral view, (B) medial view; and (C) anteroposterior view) and schematic drawings (D) of automated breast ultrasound views: Lateral (orange), medial (yellow), and anteroposterior (pink).
| PMC10183872 | 10-1055-s-0040-1722156-i200180-2.jpg |
0.433162 | ef1ef846f8cd4e97b01bd2fa49ad133a |
Female, asymptomatic, 65-year-old patient. Automated breast ultrasound exam. Coronal (upper) and longitudinal (bottom) images shows three hypoechogenic, irregular and spiculated masses in the right breast, also detected by Hand-held breast ultrasound. The lesion was classified as Breast Imaging Reporting and Data System 4. Histopathological findings confirmed malignancy - grade 2 infiltrating ductal carcinomas.
| PMC10183872 | 10-1055-s-0040-1722156-i200180-3.jpg |
0.406331 | 120540e1e18e4e9ab75d4b9a02a5b455 |
Female, asymptomatic, 60-year-old patient. Automated breast ultrasound showed a hypoechogenic, irregular and indistinct mass in the right breast – classified as a Breast Imaging Reporting and Data System 4 lesion. Histopathologic result confirmed an infiltrating lobular carcinoma.
| PMC10183872 | 10-1055-s-0040-1722156-i200180-4.jpg |
0.506517 | 7b365251c4844692b4fd4523f9279624 | Kemmis and McTaggart’s action research spiral model | PMC10184057 | 12889_2023_15706_Fig1_HTML.jpg |
0.461464 | 7ad99f1bb3b542ee962d17940b87fa1e | Overview of in-country capacity building of infection prevention and control training in member countries, May 2020-December 2021 | PMC10184057 | 12889_2023_15706_Fig2_HTML.jpg |
0.407035 | 46a4225320b7489f8dea4dadb8de9074 | Scatter plot with a fit line of total attitude scores by knowledge scores. | PMC10184174 | jpha-14-3-2149-g001.jpg |
0.414135 | 246240b90e7a4d7eaceb31844aab4ffc | Scatter plot with a fit line of total practice scores by knowledge scores. | PMC10184174 | jpha-14-3-2149-g002.jpg |
0.434526 | 9fea506d34fb42bb909cf51e6e70fd99 | Noticiana sheep breed. | PMC10185747 | fvets-10-1127354-g001.jpg |
0.465168 | 905c5f6cc82448768d0764d310866f54 | Multidimensional scaling analysis of ITAPOP dataset, comprehensive of 23 breeds in total. For full definition of the breeds, see Table 1. | PMC10185747 | fvets-10-1127354-g002.jpg |
0.352479 | 59d12966d0fb4709b1773ff130432ade | Neighbor-Net based on Reynolds’ pairwise genetic distances among the 23 sheep breeds (ITAPOP). For full definition of the dataset, see Table 1. | PMC10185747 | fvets-10-1127354-g003.jpg |
0.421302 | b796a984f2f346889f08e1b191e9c1ce | Multidimensional scaling analysis of SICPOP dataset, comprehensive of 6 breeds in total. For full definition of the breeds, see Table 1. | PMC10185747 | fvets-10-1127354-g004.jpg |
0.476671 | 2bacf929ef644bfc84e382637567c993 | Circle plot showing ancestral clusters (K) inferred by the Admixture analysis of 23 sheep breeds. For full definition of the breeds, see Table 1. | PMC10185747 | fvets-10-1127354-g005.jpg |
0.429572 | 43d604df3a3d44119ab061b3e06571a2 | Methodological flowchart of the search, evaluation and selection of the most cited articles on PD and PC. The search for articles was carried out in WoS-CC, the retrieved articles were sorted in descending order based on the citation number in WoS-CC. The articles were evaluated with the eligibility criteria. Articles that did not address only PD and CP were excluded, as well as articles that did not address natural CP. 100 articles were selected and the necessary data for bibliometric analysis were extracted. Data were analyzed quantitatively and qualitatively using descriptive statistics. Software with VosViewer and Mapchart contributed to illustrate the results of the bibliometric analysis. | PMC10185771 | fnagi-15-1149143-g001.jpg |
0.458588 | e4f7254837a740cd826415e750c831b8 | VOSviewer co-authorship map demonstrating the bibliographic coupling between the 497 authors of the 100 most cited articles on PD and PCs. The authors form 66 clusters. The cluster size represents the frequency of publications. The color scale represents the period in which the publications occurred. Overlapping nodes does not allow viewing the name of all authors who contributed to the 100 most cited articles. Authors with the highest number of publications are superimposed on authors with the lowest number of publications. | PMC10185771 | fnagi-15-1149143-g002.jpg |
0.408671 | 3fad262f62244448b6bc1fe03938d84e | The cluster with the highest number of publications. (A) The cluster is composed of 20 authors. The period of publication of the cluster’s papers is indicated by the color scale that varies from blue (2012) to yellow (2015). The node size represents the citation number of each author. The authors who collaborated in publications that occurred between the years 2012–2013 have higher numbers of citations compared to the authors who collaborated with publications that occurred between the years 2014–2015. The number of citations contributes to the strength of the connection between the authors represented by the distance between the authors. Authors with higher numbers of citations have higher binding strength. This representation suggests that the articles published by the cluster in the period 2012–2013 have higher numbers of citations. (B) The authors who make up the cluster with the highest number of publications are represented by heat islands demonstrating the citation density (number of citations/year of publication). The size of the heat island corresponds to the citation density. Authors with high citation density are closer, suggesting that publications that occurred in collaboration between them have higher numbers of citations. | PMC10185771 | fnagi-15-1149143-g003.jpg |
0.46714 | 1acb5aeff52149388ad8fb6a159bcc54 | Worldwide distribution of the 100 most cited articles in PD and PC. Countries from the same continent are represented by the same color. The intensity of the color varies according to the presence or absence of publications with a high number of citations on PD and CP by country. Countries with stronger color intensity have publications with a high number of citations on PD and PC. | PMC10185771 | fnagi-15-1149143-g004.jpg |
0.430295 | 0679d7244f12453b9d6342f4c435cfc2 | Author keyword network analysis with 2 or more occurrences. The node size represents the frequency of the author keyword with larger nodes indicating greater frequency. The color of the node represents the possibility of co-occurrence of author keywords among the 100 most cited articles on PD and PC with nodes of the same color demonstrating that there is co-occurrence between author keywords in the same article. The thickness of the line between nodes represents the strength of linkage between author keywords with strong linkage strengths being demonstrated by thicker lines. More frequent author keywords have stronger linking strength. | PMC10185771 | fnagi-15-1149143-g005.jpg |
0.440427 | f4b945ea32ce4663a43152bde97854a1 | Inclusion and exclusion of medications and trials in analyses. CSRs, clinical study reports; EMA, European Medicines Agency; pCSR, pivotal CSR. | PMC10186437 | bmjopen-2022-068981f01.jpg |
0.4374 | bc2806567cf049389dd9bfab46fb0a52 | Included pivotal trials by phase and availability. EMA, European Medicines Agency. | PMC10186437 | bmjopen-2022-068981f02.jpg |
0.455239 | cf17e1a30dbc4483896e1cec204908ba | Plot of journal/registry availability from time of EMA publicaton (above) and CSR completion (below). CSR, clinical study report; EMA, European Medicines Agency. | PMC10186437 | bmjopen-2022-068981f03.jpg |
0.421434 | 8a34b5599ad34ca3927e16b5678d8c74 | (A) Schematics of the norB-aniA locus in the canonical N. meningitidis strain MC58, N. gonorrhoeae strain FA1090, and N. meningitidis urethritis clade (NmUC) isolate CNM3. Blue double arrowhead lines indicate the recombination junctions of the gene conversion event in the clade (10). Protein sequence similarities (%) between MC58 and FA1090 and between FA1090 and CNM3 are shown for the corresponding norB and aniA genes. (B) Regulatory network of the aniA-norB locus. Regulation of the denitrification pathway by NarQP (36, 38), FNR (35–37), Fur (40, 41), and NsrR (38, 39) has been described in N. meningitidis. (C) Alignment of the norB-aniA intergenic sequences of gonococcal strain FA19, NmUC isolate CNM3, and meningococcal strain MC58. Polymorphisms differing from the FA19 sequence are shown. The promoter elements (−10, extended −10 and −35), ribosomal binding site (rbs), and transcriptional start site (+1) are underlined and italicized. The FNR motif is marked with a blue line, the NsrR motifs are shown in red, the Fur motifs are double underlined in blue, and the NarP binding site with two sets of inverted repeats is labeled in blue. The SNP locations relative to the aniA start codon as described in hybrid promoter studies are labeled beneath the sequence. The N. gonorrhoeae reference strains, FA19 and FA1090, have 5 and 6 Cs in a short poly-C track, respectively (boxed). The junctions of the N. meningitidis-N. gonorrhoeae hybrid promoter are indicated with red vertical arrows together with each construct’s name as in Fig. 8. | PMC10187123 | iai.00079-23-f001.jpg |
0.474631 | c76dffca22d6417fbd195ca57e9f5970 | (A) Growth and nitrite concentrations of microaerobic cultures of MC58 (■, red) and CNM3 (•, blue) in supplemented GC broth with 5 mM nitrite (arrow) added at inoculation. The OD600 values (left axis) and nitrite concentrations (right axis in mM) over 24 h are plotted. Data shown are geometric means and standard errors of the mean of four independent experiments performed in duplicates. (B) Growth and nitrite concentrations of aerobic GC broth cultures with 5 mM nitrite added at logarithmic phase (arrow) representing a “nitrite shock” scenario are plotted as in panel A. The geometric means and standard errors of the mean of three independent experiments done in duplicates are shown. | PMC10187123 | iai.00079-23-f002.jpg |
0.471064 | 082fa6cf8f714d7b854635992bca9c66 | (A) Growth in the presence of increasing nitrite concentrations in which nitrite was added to log-phase aerobic GC broth cultures (nitrite shock condition). CNM3 cultures (solid line) with 0 (♦), 5 mM (◊), 10 mM (Δ), 15 mM (•), and 20 mM (×) nitrite as well as MC58 cultures (dash lines) with 0 (□) and 5 mM (■) nitrite were examined (n = 4). The time point when nitrite was added into cultures was set as T = 0. (B) Aerobic GC broth cultures of MC58 in the presence of 5 mM nitrite are shown for WT (◊), ΔA (□), ΔN (ο), and ΔNA (Δ) mutants (n = 5). (C) Aerobic GC broth cultures of CNM3 in the presence of 5 mM nitrite are shown for WT (◊), ΔA (□), ΔN (ο), and ΔNA (Δ) mutants (n = 3). The geometric means and standard errors of the mean are plotted. Two-tailed unpaired Student’s t tests were performed to compare with cultures without nitrite. *, P < 0.01. | PMC10187123 | iai.00079-23-f003.jpg |
0.472924 | f20ab5cacb0a4663816c0f55ae87cbbc | Measurement of nitric oxide accumulation and oxygen change over time. GC broth cultures supplemented with 5 mM nitrite were stirred in a Clark electrode chamber with continuous recording in milliseconds. Oxygen tensions of CNM3 (pink) and MC58 (light blue) initially decline over time but increase again when denitrification has started. Subsequent accumulation of NO during transition to denitrification is different between CNM3 (red) and MC58 (blue). A representative of three independent experiments of CNM3 and MC58 is shown here, while the complete data are included in Fig. S1 in the supplemental material. | PMC10187123 | iai.00079-23-f004.jpg |
0.444571 | c1a9aa17ae7f4e4682baa9d128eb75cb | (A) Basal expression of aniA and norB in aerobic cultures of MC58, CNM3, and FA1090 without nitrite as determined by qRT-PCR. Fold change in gene expression is normalized to aniA (blue) and norB (orange) of MC58 cultures without nitrite (n ≥ 4). (B) Expression in microaerobic cultures of MC58, CNM3, and FA1090 with or without 5 mM nitrite (n ≥ 5). Fold changes in gene expression in the presence of 5 mM nitrite are shown with darker colors. The mean values and standard deviations are shown. Two-tailed unpaired Student’s t tests were performed to compare two groups, and those with statistically significant differences are indicated by lines. *, P < 0.05; **, P < 0.01. | PMC10187123 | iai.00079-23-f005.jpg |
0.458571 | 8d4a1309015a4c4fb1bcd41aecb142cd | (A) Growth phase-dependent β-galactosidase activities of the CNM3 aniA::lacZ translational reporter. Strains C552 (aniANm, blue) and C554 (aniANg, red) were monitored during aerobic growth with nitrite concentrations of 0 (light blue and light red bars), 2 mM (blue and red bars), or 5 mM (dark blue and dark red bars). Growth curves measured at every hour are colored as the corresponding bar graphs and shown as lines without data points on a semilogarithmic scale of the secondary axis. All growth curves are very similar to each other, and there are no significant differences under different nitrite concentrations. (B) Growth phase-dependent β-galactosidase activities of the CNM3 norB::lacZ translational reporters (C555, norBNm and C557, norBNg) as shown in panel A. (C) β-galactosidase activities of cultures grown under microaerobic conditions for 20 h in the presence (+) or absence (−) of 5 mM nitrite (n = 3). The aniA reporters in CNM3 are C552 and C554 and, in the FA19 background, are F552 and F554, respectively. C555 and C557 are the norB reporters in CNM3, whereas F555 and F557 are in FA19. Two-tailed unpaired Student’s t tests were performed to compare N. meningitidis and N. gonorrhoeae promoter in the same genetic background. Lines with double asterisks indicate statistically significant difference (**, P < 0.01). All reporters are significantly more active in FA19 than in CNM3 by two-tailed unpaired Student’s t tests (P < 0.01) with the exception of the norB reporters (C555, F555, C557, and F557) under the no nitrite condition, which yielded minimal units. | PMC10187123 | iai.00079-23-f006.jpg |
0.431622 | 81d887bf152940e6b1e2c7cefcaffa48 | Activities of the aniA::lacZ (A) and norB::lacZ (B) reporters in the CNM3 wild type and the fnr, nsrR, narP, and aniA backgrounds. Samples were collected from 20-h microaerobic cultures with or without 5 mM nitrite (n ≥ 3). Two-tailed unpaired Student’s t tests were performed for comparison between the wild type and mutants under the same conditions. *, P < 0.05; **, P < 0.01. | PMC10187123 | iai.00079-23-f007.jpg |
0.47523 | 272b7250c63142ed97a11f708b5001df | (A) A Schematic of N. meningitidis-N. gonorrhoeae hybrid aniA::lacZ promoter constructs. The meningococcal MC58 sequences are indicated as black lines and the N. gonorrhoeae FA1090 sequences as gray lines. The locations of SNPs are marked as vertical lines below, whereas the locations of binding motifs for NsrR, NarP, and FNR are labeled as black bars above the N. gonorrhoeae sequence. (B) β-Galactosidase activities of the aniA::lacZ reporters in CNM3 with the wild-type N. meningitidis (C552), the wild-type N. gonorrhoeae (C554), or hybrid sequences between N. meningitidis and N. gonorrhoeae promoters as in panel A. Samples were collected from overnight (20 h) microaerobic cultures with 5 mM nitrite. Data for each promoter construct were recorded as Miller Units and normalized to Miller Units recorded for the wild-type N. meningitidis reporter (C552), set as 100% (n ≥ 4). Two-tailed unpaired Student’s t tests were performed for comparison between C552 and other fusion promoter constructs. **, P < 0.01. | PMC10187123 | iai.00079-23-f008.jpg |
0.420208 | 13b9045b85ea473797a081c21207d3cb | Assay performance on SARS-CoV-2 detection. (A&B) Absorbance and grey values of the proposed assays were performed using different concentrations of SARS-CoV-2 (i.e., 0, 1, 2, 5, 10, 20, 50, 100, 200 copies/µL). *P < 0.05, * *P < 0.01, * **P < 0.001, * ** *P < 0.0001. (C&D) Linear relationships between the decreased absorbance (ΔA) or decreased grey values (Δgrey values) and the concentrations of SARS-CoV-2. (E) Illustration of the detection procedure and the resulting Cas12a activation from different viruses. (F) Specificity of our method against SARS-CoV and MERS-CoV sequences. Error bars represent the standard deviations of three repetitive experiments. | PMC10125216 | gr4_lrg.jpg |
0.42743 | 3976ff77252c4415af8b80961d809346 | SARS-CoV-2 analysis in environmental samples. (A) Swab samples from glass bottles (1), food packages (2), and doorknobs (3). (B & C) Photographs and heat map of the assays with different concentrations of SRAS-CoV-2 in swab samples from glass bottles (1), food package (2), and doorknob (3). (D) Schematic illustration of wastewater treatment. (E & F) Photographs and heat map of the assays with different contractions of SRAS-CoV-2 spiked to wastewater samples. | PMC10125216 | gr5_lrg.jpg |
0.411898 | 63af09aa10e241808933229ce29c3a07 | Schematic illustration of colorimetric detection of SARS-CoV-2 based facile RNA extraction-free workflow and the one–tube RT-RPA/CRISPR-Cas/G4 assay. (A) Procedures for sampling & lysis, one-tube assay, and visualization. The total assay time is 30 min. RT: Room temperature. (B) Working principles of the one-tube RT-RPA/CRISPR-Cas/G4 assay. | PMC10125216 | sc1_lrg.jpg |
0.491729 | 41c1fa6ddf114d0e9a8ac3d680572add | Distributions and test probabilities of extract A on target organisms. | PMC10125757 | BRI2023-1777039.001.jpg |
0.466101 | 5608e732d1ab41dcb6239d63d6a0000e | Distributions and test probabilities of extract B on target organisms. | PMC10125757 | BRI2023-1777039.002.jpg |
0.454168 | 60a31dc3d47f46ea8ad8bc44a19fa781 | Distributions and test probabilities of extract C on target organisms. | PMC10125757 | BRI2023-1777039.003.jpg |
0.49795 | c169a0bdfdf746d4913a0b8646e9c06f | Distributions and test probabilities of extract D on target organisms. | PMC10125757 | BRI2023-1777039.004.jpg |
0.482908 | c4125004d33f4e3bbafe224b71153f55 | Distributions and test probabilities of extract NPS on target organisms. | PMC10125757 | BRI2023-1777039.005.jpg |
0.440148 | 8d9cc88afb42433281c855c9a9e522a5 | Key features of the Voluntary Assisted Dying Act 2017 (Victoria) | PMC10126061 | 11673_2022_10224_Fig1_HTML.jpg |
0.44966 | 958d4878818d46e686c0aaeaa07a0aaf | Themes and categories | PMC10126061 | 11673_2022_10224_Fig2_HTML.jpg |
0.473491 | fe93ef28a1694ae68804e2f3549dddc9 | Flowchart of patient selection | PMC10126170 | 13244_2023_1412_Fig1_HTML.jpg |
0.460497 | da8072f5874746cea083264d7ed243e4 | Workflow of study design | PMC10126170 | 13244_2023_1412_Fig2_HTML.jpg |
0.435438 | 3d7a0f6784c24e50b56e10c7aa8941e4 | The architecture of the 3D U-net used for DL feature extraction. The architecture includes an encoder network and a decoder network. The encoder extracts tumor characteristics referred to as DL features, and the decoder uses the DL features to reconstruct original tumor image. The segmented tumor images were input into the network. The output of the last convolutional layer in the encoder network was extracted as a 224-dimensional DL feature | PMC10126170 | 13244_2023_1412_Fig3_HTML.jpg |
0.47754 | 465f096fcc4b4318b66a6dcc395229b0 | ROC curves of ensemble model and radiologists | PMC10126170 | 13244_2023_1412_Fig4_HTML.jpg |
0.394812 | c92b269590a34dfe96446a0684ff9336 | Contrast-enhanced CT images of ovarian tumors that were misclassified by AI model or/and junior radiologists. a A malignant ovarian tumor (clear cell carcinoma) that was predicted to be benign by AI model but malignant by all junior radiologists. The solid portion (arrow) in the tumor is a clue for malignancy in radiological evaluation. b A benign ovarian tumor (endometrioma) that was predicted to be malignant by AI model but benign by all junior radiologists. There was no solid portion, mural nodule, or thick septa to indicate malignancy in radiological evaluation. c A benign ovarian tumor (mucinous cystadenoma) that was predicted to be malignant by both AI model and all junior radiologists. d A benign ovarian tumor (mucinous cystadenoma) that was predicted to be malignant by all junior radiologists but benign by AI model. Thick septa (arrow) in c and d raised the suspicion of malignancy in radiological evaluation | PMC10126170 | 13244_2023_1412_Fig5_HTML.jpg |
0.490626 | ee86d10c5d7e451fb007f12d29a38278 | Nursing contents and frequency of acute paraquat poisoning. | PMC10126920 | gr1.jpg |
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