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0.411985 | 7b327ce14dfa4ea1be5da3c38444c7af | The role of HERVs in prostate cancer. Evaluated treatments are marked in red. Abbreviations: AR = androgen receptor, ab = antibody, lncRNA = long non-coding RNA, LTR = long terminal repeat, gag = group antigen (capsid), pol = polymerase, RT = reverse transcriptase, env = envelope, HERV-K = HML-2. | PMC10046157 | biomedicines-11-00936-g009.jpg |
0.497706 | 529bb6c41085478191e81c2b78fbd896 | The role of HERVs in lung, head, and neck cancer. Evaluated treatments are marked in red. Abbreviations: LUAD = lung adenocarcinoma, LUSC = lung squamous cell carcinoma, GPCR = G-protein-coupled receptor, LTR = long terminal repeat, gag = group antigen (capsid), pol = polymerase, env = envelope. If not otherwise stated HERV-K = HML-2. | PMC10046157 | biomedicines-11-00936-g010.jpg |
0.487281 | 347f9a08b6f64619bf0629dac262237f | The role of HERVs in cancers of the urinary system. Evaluated treatments are marked in red. Abbreviations: CTL = cytotoxic T cell, UCC = urothelial carcinoma, RCC = renal cell carcinoma, piHERV = potentially immunogenic HERVs, LTR = long terminal repeat, gag = group antigen (capsid), pol = polymerase, env = envelope, HERV-K = HML-2. | PMC10046157 | biomedicines-11-00936-g011.jpg |
0.470443 | 49c64c5db5ee44159fa0f5d22d321341 | Focal cortical dysplasia lesion (A) T1-weighted MRI and (B) FLAIR MRI [10]. | PMC10046408 | brainsci-13-00487-g001.jpg |
0.436497 | 128aa4fca92143c490eca92a32268e27 | Mesial temporal sclerosis lesion (a) T1-weighted MRI and (b) FLAIR MRI [11]. | PMC10046408 | brainsci-13-00487-g002.jpg |
0.48171 | f71dd3f0ff914b6aa3d0d6b2c0ceb4c5 | SVM hyperplane for linearly separable data points [34]. | PMC10046408 | brainsci-13-00487-g003.jpg |
0.412158 | b0bb436306904e5db8879ab255ac5fd1 | Schematic of the study. | PMC10046408 | brainsci-13-00487-g004.jpg |
0.459512 | 8eceb2628e7a45f7af33e48d1dbc03b1 | Three-dimensional T1-weighted MRI for a patient from the data set in coronal view, sagittal view, and axial view, respectively. R indicates the right of the brain, L indicates the left of the brain, S (superior) indicates the top of the body, and I (inferior) indicates the bottom of the body. | PMC10046408 | brainsci-13-00487-g005.jpg |
0.581399 | 6b310e790cf44ed59ddc71d5a1683dac | Some of the ROI of the brain [60]. | PMC10046408 | brainsci-13-00487-g006.jpg |
0.54719 | 1c4df0374190417d9919b424141fd5cf | Accuracy, recall score, and precision of different combinations of measurements in the first experiment. | PMC10046408 | brainsci-13-00487-g007.jpg |
0.420963 | a6a439a6186141599d1ad9f024292088 | Variance ratio and classification accuracy of principal component analysis (PCA). | PMC10046408 | brainsci-13-00487-g008.jpg |
0.534761 | 8792301b4a5a4af9bce21f8f76c37c38 | Accuracy, recall score, and precision of ML classifiers after applying K-fold cross-validation and PCA in the second trial. | PMC10046408 | brainsci-13-00487-g009.jpg |
0.421038 | 8e203722c2be42f9913f3eba5d34c40c | Nested CV strategy. | PMC10046611 | cancers-15-01720-g001.jpg |
0.433321 | aff90e0acbfa4038bc274f1833eddcbf | Average normalised spectrum by class. Right panels, average spectra with shaded areas indicating 1 standard deviation. | PMC10046611 | cancers-15-01720-g002.jpg |
0.416266 | bfe076e626c3454183a533b5ed61a591 | Difference spectrum: MSI-H minus MSS. Numbers indicate peaks mentioned in the text. | PMC10046611 | cancers-15-01720-g003.jpg |
0.42034 | 9607313dc83c42158d8cfae7c786c9bf | Receiver Operating characteristic curve for (a) PCA–LDA (b), SVM (c), CNN. Bold lines indicate mean ROC, pale lines performance for individual folds and shaded area 1 standard deviation. | PMC10046611 | cancers-15-01720-g004.jpg |
0.472403 | 5373e1ef7d1841babf629c056006156a | Occlusion study: Blue indicates drops in performance due to occlusion. The stronger the shade, the larger the drop in performance. | PMC10046611 | cancers-15-01720-g005.jpg |
0.461688 | ca4fb272164b4976a1f0c62ea3dffa24 | Confusion matrix for (a) PCA–LDA (b), SVM (c), CNN. | PMC10046611 | cancers-15-01720-g006.jpg |
0.526527 | 597e2b9b98e343428b28b84f60c66662 | Model Accuracy by baseline correction method: Lynch dataset. Mean value over 15 folds and +/−1 SD bars. | PMC10046611 | cancers-15-01720-g0A1.jpg |
0.513567 | 2e6c15beb5d447c888405ab25e7e1b39 | CNN architecure. | PMC10046611 | cancers-15-01720-g0A2.jpg |
0.475695 | a892d5ee9d7647f683925bf870a431f2 | Timeline of medical history from injury (4 years, 2 months) through ABRT follow-up evaluation (5 years, 7 months). LE = lower extremity, ADEM = Acute disseminated encephalomyelitis, MRI = Magnetic resonance imaging, PT = physical therapy, OT = occupational therapy, ABRT = activity-based restorative therapies. | PMC10047088 | children-10-00594-g001.jpg |
0.44549 | e9ae2d53d07e4e5a8b4a08fc154f3215 | (A) Outcome measure scores from 20 session re-assessments (initial evaluation through follow-up evaluation. (B) Observational Postural Changes = Improved symmetry of shoulder height, decrease in trunk lateral curve and more equal weight bearing on the legs in standing and through the pelvis in sitting. (C) Vitals taken pre- and post-2-minute walk test. NT = This test was added to the program’s standardized measurement bank after this patient’s initial evaluation. SATCo = Segmental Assessment of Trunk Control, m/s = meters/second, BP = blood pressure, HR = heart rate, bpm = beats per minute, cm = centimeters. | PMC10047088 | children-10-00594-g002.jpg |
0.486807 | cb5473bb05424fd595ddf87c92f5664b | Progression of Activity-Based Restorative Therapy (ABRT) intervention. Focus changed across 3 intermittent periods between re-assessments at 20, 40 and 79 sessions. Trends towards symmetry were noted in arm swing, stepping pattern and trunk. | PMC10047088 | children-10-00594-g003.jpg |
0.447678 | 57261fd26d0f44bab86cb9bf636cd588 | (A) Observational change in gait pattern symmetry and objective changes captured by SCI-FAI from initial evaluation through discharge evaluation. SCI-FAI = Spinal Cord Injury Functional Ambulation Index. (B) Percentages of swing and stance phases before and after treatment compared to age-appropriate normative values from Voss et al. 2020 [29]. | PMC10047088 | children-10-00594-g004.jpg |
0.402958 | b5809af70b1b48daa22cc5e5bf296bed | Association between all-cause mortality and systemic inflammation indices. Kaplan–Meier survival plots showing association of systemic inflammation indices and all-cause mortality in men with prostate cancer. Associations in all cases for (a) NLR (low ≤ 2.9, high > 2.9), (b) PLR (low ≤ 133.7, high > 133.7), (c) SII (low ≤ 430.8, high > 430.8), and (d) SIRI (low ≤ 0.9, high > 0.9). | PMC10047449 | cancers-15-01869-g001.jpg |
0.380803 | 7b0087d1b782450f9f889afcdd7bad13 | Association between prostate cancer-specific mortality and systemic inflammation indices. Kaplan–Meier survival plots showing association of systemic inflammation indices and prostate cancer-specific mortality in men. Associations in all cases for (a) NLR (low ≤ 2.9, high > 2.9), (b) PLR (low ≤ 133.7, high > 133.7), (c) SII (low ≤ 430.8, high > 430.8), and (d) SIRI (low ≤ 0.9, high > 0.9).). | PMC10047449 | cancers-15-01869-g002.jpg |
0.429196 | 61e66640f06941a890c5799c7790c76c | PRISMA flowchart of selected studies. | PMC10047891 | cells-12-00951-g001.jpg |
0.526859 | 0c5727cb7ec14c50b26ee389922a89b5 | Flow chart of the study cohort. | PMC10047995 | genes-14-00722-g001.jpg |
0.412996 | 9cbf35d0ea874ebbbc10f1065aab6edf | Binary logistic regression analysis of factors leading to the predictors of adverse pregnancy outcomes of PA. OR, odds ratio. | PMC10047995 | genes-14-00722-g002.jpg |
0.401004 | 936223872d444ee8925615d87c9a8735 | The timeline. | PMC10048025 | healthcare-11-00794-g001.jpg |
0.39542 | 885342bf221349f7aa272869e06dff00 | The knowledge of RFS among participants. Three levels of knowledge were measured. No knowledge, low, and good. | PMC10048025 | healthcare-11-00794-g002.jpg |
0.453032 | 60c897433add447b95b943c3a8ac84a9 | The factors influencing knowledge level among physicians at KAMC, (A) illustrates the influence of age on RFS knowledge, (B) illustrates the influence of medical specialty on RFS knowledge. | PMC10048025 | healthcare-11-00794-g003.jpg |
0.379403 | 4e9270c88d6d4c9bbd0072c4e4bf287d | The ability to manage REF among participants. | PMC10048025 | healthcare-11-00794-g004.jpg |
0.425787 | fff96a32325a43ca829d30d62dd8ddd8 | Schematic diagram of fungi ITS region consisting of ITS1 and ITS2 regions separated by 5.8S segment. ITS1-F and ITS4-B are widely used forward and reverse primers [41] to amplify the whole ITS region. | PMC10048311 | genes-14-00634-g001.jpg |
0.458492 | 438aa8c53f7e411891ab354f0ed4d327 | Diagrammatic representation of the pipeline for filtering and construction of balanced ITS sequence datasets at each taxonomic level. | PMC10048311 | genes-14-00634-g002.jpg |
0.47513 | a490cfa1254c4e37b790ccfe34d7ec80 | Architecture of the proposed CNN model. Here, m = size of convolution kernel, n1 = number of kernels in the first convolution layer and n2 = number of kernels in the second convolution layer. | PMC10048311 | genes-14-00634-g003.jpg |
0.461412 | 4f2bc4fbbfc44b2293315965f7b59d68 | Pipeline for training and evaluation of CNN models starting from feature matrix generation from FASTA file of ITS sequences. | PMC10048311 | genes-14-00634-g004.jpg |
0.404186 | 1c82b7d330674ada89850ecf157d5af4 | Average accuracy % of CNN for different datasets with varying k-mer sizes at all taxonomic levels. | PMC10048311 | genes-14-00634-g005.jpg |
0.476202 | d7c47e873f794a609e1738fe455fe88b | Average values (%) of evaluation metrics obtained from CNN models for balanced datasets at all taxonomic levels with invariant diversity levels and hexamer nucleotide frequency features. In each level, three datasets with 100, 250 and 500 data points per category are considered. | PMC10048311 | genes-14-00634-g006a.jpg |
0.518635 | 7c38c7792921427086a77f847d4369d6 | Average accuracies (%) obtained by CNN, SVM, KNN, Naïve-Bayes and Random Forest classifiers with 6-mer features at various taxonomic levels. | PMC10048311 | genes-14-00634-g007.jpg |
0.518283 | 0389528a87da447d807149bd9d440348 | (a) Comparison between CNN and RDP Classifier based on average accuracy (%) at various taxonomic levels, (b) Comparison between CNN and existing software in terms of SISR (%) scores for funbarRF dataset [50]. | PMC10048311 | genes-14-00634-g008a.jpg |
0.447511 | 1be2883813af44a4ac5408e6301d5ce2 | Flow diagram of processing operations for fruit juice production. | PMC10048419 | foods-12-01311-g001.jpg |
0.453503 | 19c505f836b94297a87f92e0e5a83eef | Variation in aw of juice samples during the storage period (D-day) at room temperature (20 °C): (a) apple juice samples (S1, S2, S3, S4); (b) apple and pumpkin juice samples (S5, S6, S7, S8); (c) apple and pomegranate juice samples (S9, S10, S11, S12). Means with different lowercase letter indicate the significant differences (p < 0.05) among the samples and were performed separately for each day of storage. | PMC10048419 | foods-12-01311-g002.jpg |
0.419894 | 35cd76ea19dd42e68e22c1368475a9cd | Variation in aw of juice samples during storage period (D-day) at refrigeration temperature (4 °C): (a) apple juice samples (S1, S2, S3, S4); (b) apple and pumpkin juice samples (S5, S6, S7, S8); (c) apple and pomegranate juice samples (S9, S10, S11, S12). Means with different lowercase letter indicate the significant differences (p < 0.05) among the samples and were performed separately for each day of storage. | PMC10048419 | foods-12-01311-g003.jpg |
0.423346 | 41b5d2f5d2cf44cbb9ff1d35c82f5564 | Variation in TA (% malic acid) of juice samples during the storage period (D-day) at room temperature (20 °C): (a) apple juice samples (S1, S2, S3, S4); (b) apple and pumpkin juice samples (S5, S6, S7, S8); (c) apple and pomegranate juice samples (S9, S10, S11, S12). Means with different lowercase letter indicate the significant differences (p < 0.05) among the samples and were performed separately for each day of storage. | PMC10048419 | foods-12-01311-g004.jpg |
0.438629 | 043cdebcba664c259abee6485b0a7e8f | Variation in TA (% malic acid) of juice samples during the storage period (D-day) at refrigeration temperature (4 °C): (a) apple juice samples (S1, S2, S3, S4); (b) apple and pumpkin juice samples (S5, S6, S7, S8); (c) apple and pomegranate juice samples (S9, S10, S11, S12). Means with different lowercase letter indicate the significant differences (p < 0.05) among the samples and were performed separately for each day of storage. | PMC10048419 | foods-12-01311-g005.jpg |
0.445652 | 87aeea1ff05a4d6b81ba8fa804d5dee9 | Variation in TSS (°Brix) of juice samples during the storage period (D-day) at room temperature (20 °C): (a) apple juice samples (S1, S2, S3, S4); (b) apple and pumpkin juice samples (S5, S6, S7, S8); (c) apple and pomegranate juice samples (S9, S10, S11, S12). Means with different lowercase letter indicate the significant differences (p < 0.05) among the samples and were performed separately for each day of storage. | PMC10048419 | foods-12-01311-g006.jpg |
0.428984 | 6d00ae0bab3a4c7190c5020154e3d9b7 | Variation in TSS (°Brix) of juice samples during the storage period (D-day) at refrigeration temperature (4 °C): (a) apple juice samples (S1, S2, S3, S4); (b) apple and pumpkin juice samples (S5, S6, S7, S8); (c) apple and pomegranate juice samples (S9, S10, S11, S12). Means with different lowercase letter indicate the significant differences (p < 0.05) among the samples and were performed separately for each day of storage. | PMC10048419 | foods-12-01311-g007.jpg |
0.415612 | f82fd64f1e5043d881bde5ea3df01fa5 | Variation in EC (μS/cm) of juice samples during the storage period (D-day) at room temperature (20 °C): (a) apple juice samples (S1, S2, S3, S4); (b) apple and pumpkin juice samples (S5, S6, S7, S8); (c) apple and pomegranate juice samples (S9, S10, S11, S12). Means with different lowercase letter indicate the significant differences (p < 0.05) among the samples and were performed separately for each day of storage. | PMC10048419 | foods-12-01311-g008.jpg |
0.446559 | 56c286ecfa874fdfbadaff84c35830fc | Variation in EC (μS/cm) of juice samples during the storage period (D-day) at refrigeration temperature (4 °C): (a) apple juice samples (S1, S2, S3, S4); (b) apple and pumpkin juice samples (S5, S6, S7, S8); (c) apple and pomegranate juice samples (S9, S10, S11, S12). Means with different lowercase letter indicate the significant differences (p < 0.05) among the samples and were performed separately for each day of storage. | PMC10048419 | foods-12-01311-g009.jpg |
0.421926 | 0754381c437942d984e97e70aabef709 | Variation in vitamin C (mg/L) of juice samples during the storage period (D-day) at room temperature (20 °C): (a) apple juice samples (S1, S2, S3, S4); (b) apple and pumpkin juice samples (S5, S6, S7, S8); (c) apple and pomegranate juice samples (S9, S10, S11, S12). Means with different lowercase letter indicate the significant differences (p < 0.05) among the samples and were performed separately for each day of storage. | PMC10048419 | foods-12-01311-g010.jpg |
0.421536 | 509a63bac5494738937d28713606e0d8 | Variation in vitamin C (mg/L) of juice samples during the storage period (D-day) at refrigeration temperature (4 °C): (a) apple juice samples (S1, S2, S3, S4); (b) apple and pumpkin juice samples (S5, S6, S7, S8); (c) apple and pomegranate juice samples (S9, S10, S11, S12). Means with different lowercase letter indicate the significant differences (p < 0.05) among the samples and were performed separately for each day of storage. | PMC10048419 | foods-12-01311-g011.jpg |
0.371471 | 6948470824604149983e7fa2fd832274 | Principal component analysis (PCA) (a) scores and (b) loading plots of fruit juice samples stored at room temperature. | PMC10048419 | foods-12-01311-g012.jpg |
0.41663 | a204b0298a0d4a16b8cf8f2a434b06ea | Principal component analysis (PCA) (a) scores and (b) loading plots of fruit juice samples stored at refrigerator temperature. | PMC10048419 | foods-12-01311-g013.jpg |
0.425328 | 5b3cad90f4eb4d9aa3e9355a197de60b | Effect of PPARα agonist clofibrate in the production of pro-inflammatory interleukins that are induced by ischemia/reperfusion injury in hearts from metabolic syndrome rats. (A) IL-1β, (B) IL-6, and (C) TNF-α concentration in left ventricles from control and MetS rats. Data represent mean ± SEM (n = 6 per group). a p < 0.0001 vs. Ct-Sh; b p < 0.0001 vs. Ct-Sh; c p< 0.0001 vs. Ct-V-I/R; d p < 0.0001 vs. Ct-V-I/R; f p < 0.0001 vs. MetS-Sh; g p < 0.0001 vs. MetS-V-I/R. Abbreviations: Ct = control; MetS = metabolic syndrome; Sh = sham-operated rats; V = vehicle; Clo = clofibrate. | PMC10049157 | ijms-24-05321-g001.jpg |
0.408214 | 898585258972414e8952640881aaa3a2 | Effect of treatment with clofibrate on infiltrated cells and collagen volume fraction (CVF) in hearts with ischemic/reperfusion (I/R) damage. In (A), the sites where cellular infiltrates are located are indicated with arrows in images stained with hematoxylin–eosin (HE). In (B), the fluorescence areas with collagen deposits are distinguished in red with picrosirius red (PSR) staining. Representative images of histological examinations are presented and the mean ± SEM values of the number of infiltrated cells and the mean ± SEM of CVF % are shown in the graphs. a p < 0.0001 vs. Ct-Sh; b p < 0.0001 vs. Ct-Sh; c p < 0.0001 vs. Ct-V-I/R; f p < 0.0001 vs. MetS-Sh; g p < 0.0001 vs. MetS-V-I/R. Abbreviations: Ct = control; MetS = metabolic syndrome; Sh = sham-operated rats; V = vehicle; Clo = clofibrate. Bar = 100 μm. | PMC10049157 | ijms-24-05321-g002.jpg |
0.432835 | c060cda074f94a7bab0162e82c2f8c6a | Effect of clofibrate treatment in the expression of MMP-2 in damaged ventricles from control and MetS rats. Expression was evaluated by Western blot in the myocardial ischemic area from sham (Sh), I/R-V, and I/R-Clo groups. Data represent mean ± SEM normalized to β-actin (n = 6 rats per group). a p < 0.0001 vs. Ct-Sh; c p < 0.0001 vs. Ct-V-I/R; d p < 0.0001 vs. Ct-V-I/R; g p < 0.0001 vs. MetS-V-I/R. Abbreviations: Ct = control; MetS = metabolic syndrome; Sh = sham-operated rats; V = vehicle; Clo = clofibrate. | PMC10049157 | ijms-24-05321-g003.jpg |
0.42625 | 5a41d0b1646846a2878f491675f7077a | Effect of clofibrate administration on the expression of atrial natriuretic peptide (ANP) in the left ventricles from control and MetS rats. The representative images show the immunodetection of ANP (red) and 2-[4-(Aminoiminomethyl) phenyl]-1H-Indole-6-carboximidamide hydrochloride (DAPI) was used to label the nuclei. The graph showing the expression of immunodetection levels is presented. Data represent mean ± SEM. c p < 0.0001 vs. Ct-V-I/R; e p < 0.0001 vs. Ct-Clo-I/R; f p < 0.0001 vs. MetS-Sh. At least 4 fields of each animal (3 rats per group) were quantified, with a total of at least 12–24 determinations. Abbreviations: Ct = control; MetS = metabolic syndrome; Sh = sham-operated rats; V = vehicle; Clo = clofibrate. Bar = 100 μm. IOD = integrated optical density, corresponding to ANP expression level. | PMC10049157 | ijms-24-05321-g004.jpg |
0.446107 | 14fe2df76be543489b66a04580f45a4f | Effect of clofibrate treatment in the atrial natriuretic peptide receptor (ANPr) expression in left ventricles from MetS rats under ischemia/reperfusion conditions. Immunodetection of ANPr is shown in red and the nuclei are marked with DAPI. The graph shows the receptor expression levels. Data represent mean ± SEM. a p < 0.0001 vs. Ct-Sh; c p < 0.0001 vs. Ct-V-I/R; f p < 0.0001 vs. MetS-Sh; g p < 0.0001 vs. MetS-V-I/R. At least 4 fields of each animal (3 rats per group) were quantified, with a total of at least 12–24 determinations. Abbreviations: Ct = control; MetS = metabolic syndrome; Sh = sham-operated rats; V = vehicle; Clo = clofibrate; Bar = 100 μm; IOD = integrated optical density, corresponding to ANPr expression level. | PMC10049157 | ijms-24-05321-g005.jpg |
0.43905 | 30c23b6f176d4125be5de819688267e7 | Tissue levels of N-terminal pro-B-type natriuretic peptide (NT-proBNP) in control and metabolic syndrome rats subjected to ischemia/reperfusion damage and pre-treated with clofibrate. Values are mean ± SEM. N = 5 per group; Abbreviations: Ct = control; MetS = metabolic syndrome; Sh = sham-operated rats; I/R: ischemic reperfusion; V = vehicle; Clo = clofibrate. | PMC10049157 | ijms-24-05321-g006.jpg |
0.425393 | c3e00da9dc544f4b986d7ddaf42cbd17 | Expression of atrial natriuretic peptide (ANP) and atrial natriuretic peptide receptor (ANPr) in fibers and mitochondria of hearts from MetS rats under ischemia/reperfusion injury. Representative immune-electron micrograph for ANP (A) and ANPr (B) of left ventricles from control (Ct) and metabolic syndrome (MetS) rats subjected to sham (Sh) or ischemia/reperfusion (I/R) damage and treated with either vehicle (V) or clofibrate (Clo). The images show the signal (red asterisk) obtained by 15 nm gold particles in the different treatments. Ultrastructural alterations in fibers and mitochondrial architecture in I/R-damaged groups are also evident, such as amorphous matrix densities and severe mitochondrial swelling. Bar = 500 nm. | PMC10049157 | ijms-24-05321-g007.jpg |
0.437187 | 9647dcc2efc147e1aa9e1e5bbd7ed150 | PPARα agonist treatment decreased apoptosis in ischemic/reperfused (I/R) hearts from MetS rats. The TUNEL assay was performed on cardiac tissue sections previously subjected to ANP immunodetection in red; this facilitates the visualization of positive TUNEL nuclei. The graph with the percentage of TUNEL-positive cells with respect to the total of DAPI-labeled nuclei in each group is presented. a p < 0.0001 vs. Ct-Sh; c p < 0.0001 vs. Ct-V-I/R; g p < 0.0001 vs. MetS-V-I/R. At least 4 fields of each animal (3 rats per group) were quantified, with a total of at least 12–24 determinations. Abbreviations: ANP = atrial natriuretic peptide; Ct = control; MetS = metabolic syndrome; Sh = sham-operated rats; V = vehicle; Clo = clofibrate. Bar = 100 μm. | PMC10049157 | ijms-24-05321-g008.jpg |
0.461455 | 76da06a6854c44a9964f59477aba8fd2 | Analysis of FBXW expression in pan-cancer tissues and normal tissues. (A) Schematics of the architecture of FBXWs. F: F-box domain. W: WD40 domain. (B) The expression of mRNA levels of FBXWs was analyzed in 17 cancer types and normal tissues from the TCGA database. Red triangle: overexpressed. Blue triangle: downregulated. The number of cancer types with differentially expressed FBXWs was counted and summarized. (C) The expression of FBXW9 in 17 cancer types compared with normal tissues is presented in box plots. (D) The expression of FBXW11 in 17 cancer types compared with normal tissues is presented in box plots. (E) Representative images of immunohistochemistry (IHC) data of FBXW9 staining in tumors and normal tissues from the Human Protein Atlas (HPA) database. (F) Representative images of IHC data of FBXW11 staining in tumors and normal tissues from the Human Protein Atlas (HPA) database. (G) RT-qPCR detection of FBXW9 mRNA expression in 25 pairs of tumors and normal tissues from patients diagnosed with breast cancer. *, p < 0.05; **, p < 0.01; ***, p < 0.001. | PMC10049633 | ijms-24-05262-g001.jpg |
0.423859 | 6c87d5ab1bcf4aa5a171d18c435e97ff | The prognostic value of mRNA levels of FBXWs in multiple cancer types. (A) Analysis of the association between mRNA expression of FBXWs with overall survival of patients with 41 cancer types (including subtypes). (B) High expression of FBXW9 was associated with poor overall survival of BRCA-Basal and BLCA and good overall survival of READ and KIRP. (C) Kaplan-Meier plot of overall survival of patients with BRCA-Basal, BLCA, READ or KIRP. | PMC10049633 | ijms-24-05262-g002.jpg |
0.438217 | c0b3377788134dbc9aa3b70627b32a40 | Pan-cancer analysis of expression of FBXWs, tumor microenvironment, and the overall survival of patients receiving anti-PD1 therapy. | PMC10049633 | ijms-24-05262-g003.jpg |
0.427761 | d5f1be7bbbff47c986e39dd1009a6e22 | Pan-cancer analysis of expression of FBXWs and tumor microenvironment. (A) Heatmap of the association between expression of FBXWs with immune cell infiltrates in multiple cancer types. (B) Summary of significant correlations between expression of FBXWs and immune cell infiltrates. (C) Correlations between FBXW9 expression and infiltration levels of B cells, CD4+ T cells, CD8+ T cells, dendritic cells, macrophages, and neutrophils were examined in BRCA. (D) Western blotting analysis of FBXW9 protein expression in SUM159 and MDA-MB-231 cells transfected with Ctr si, FBXW9 si1, or FBXW9 si2. (E) qPCR detection of NECTIN2, CD274, and PDCD1LG2 expression in SUM159 and MDA-MB-231 cells transfected with Ctr si, FBXW9 si1, or FBXW9 si2. (F) The association between mRNA expression of FBXWs and stroma score was explored in the CPTAC dataset. *, p < 0.05. | PMC10049633 | ijms-24-05262-g004.jpg |
0.400677 | 557fe6e56a5840de80f563a8ce3eb5f1 | Analysis of the association between expression of FBXWs and stemness in breast cancer. (A,B) The association between the expression of FBXWs and stemness score was explored in the CPTAC dataset. (C) The association between the expression of FBXWs and MYC activity was explored in the TCGA-BRCA dataset. (D) Venn diagram analysis of FBXWs associated with stemness score and MYC activity. (E,F) The correlation between FBXW9 expression and stemness score (E) and MYC activity (F). (G) Kaplan–Meier analysis of the association between FBXW9 expression and relapse-free survival (RFS) of patients with breast cancer. | PMC10049633 | ijms-24-05262-g005.jpg |
0.39835 | c071cb97a952470594760856f1cac699 | Analysis of potential targets of FBXW9. (A) The potential substrates of FBXW9 were predicted using Ubibrowser, and the interaction between these proteins was analyzed using the STRING database. (B) KEGG analysis of potential targets of FBXW9 substrates. (C) GO analysis of potential targets of FBXW9 substrates. (D) qPCR detection of mRNA expression of p21, CCNA2, and CCNB1 in breast cancer cells transfected with Ctr si, FBXW9 si1, or FBXW9 si2. (E) Western blotting detection of p21 protein expression in breast cancer cells transfected with Ctr si, FBXW9 si1, or FBXW9 si2. *, p < 0.05. | PMC10049633 | ijms-24-05262-g006.jpg |
0.420823 | 7db6a36cf2af4410908b99ffe1b48143 | Analysis of genes regulated by FBXW9 in breast cancer. (A) The differentially expressed genes between FBXW9 high- and low-expression groups were analyzed. (B) The transcription factors regulating the differentially expressed genes were analyzed. | PMC10049633 | ijms-24-05262-g007.jpg |
0.402093 | beb849d874834f4294210decaf8cda00 | Enrichment analysis of genes regulated by FBXW9 in breast cancer. (A) KEGG analysis of the differentially expressed genes. (B) GO analysis of the differentially expressed genes. (C) Gene enrichment analysis was performed on the differentially expressed genes using Metascape. | PMC10049633 | ijms-24-05262-g008.jpg |
0.456545 | cf51524b75394654b52821e5e8c1d7fa | Downregulation of FBXW9 inhibited cell proliferation and cell cycle progression in breast cancer cells. (A) The CCK8 analysis was performed on SUM159 cells and MDA-MB-231 with transfection of Ctr si, FBXW9 si1, or FBXW9 si2. (B) The colony-forming assay was performed on SUM159 and MDA-MB-231 cells with transfection of Ctr si, FBXW9 si1, or FBXW9 si2. (C) Flow cytometry analysis of cell cycle distribution of SUM159 and MDA-MB-231 cells with transfection of Ctr si, FBXW9 si1, or FBXW9 si2. ***, p < 0.001. | PMC10049633 | ijms-24-05262-g009.jpg |
0.488518 | 53d50fefff614e8dae81fdb0654d5656 | Simulation of model behavior, in the modality “sequence ordering memory”, when the network is disconnected from the external world, and layer L1 receives a uniform excitation noise (“imagination” or “dreaming” condition). In this case the network was previously trained with two alternative sequences of objects taken from Fig. 4b (sequence “1–2–3–4-5” and sequence “6–7–8–9–10”). Note that the network can autonomously recover some portions of the previously learned sequences, in a random fashion, and sometimes link together the end of one sequence with a portion of the other sequence | PMC10050512 | 11571_2022_9836_Fig10_HTML.jpg |
0.446028 | 68aeb6e31f044417b76e90b755959f66 | Panel A: Scheme of the neural mass model simulating the dynamics in a single column. Blue continuous lines with arrows indicate glutamatergic excitatory synapses, red dash-dotted lines with open squares indicate GABAergic faster inhibitory synapses, while brown dotted lines with open circles indicate GABAergic slower inhibitory synapses. Symbols Cij denote the synaptic contacts among the neural populations, where the first subscript and the second subscript designate the post-synaptic population and pre-synaptic population, respectively. up and uf represent inputs to the pyramidal neuron population and to the fast inhibitory interneuron population, respectively. These inputs can come from the external environment (E and I respectively), from noise (np and nf, respectively) or from synapses from pyramidal neurons in other ROIs. Panel B: an example of excitatory connections between two ROIs, via a direct link from the pyramidal neurons of the source ROI to the pyramidal neurons of the target ROI. Panel C: an example of a bi-synaptic inhibitory connection, from the pyramidal neurons of the source ROI to the fast inhibitory interneurons of the target ROI (which, in turn, inhibits pyramidal neurons in the target ROI). In the present model the latter connection may be either of type K (with glutamatergic dynamics) or type A (with almost instantaneous dynamics) | PMC10050512 | 11571_2022_9836_Fig11_HTML.jpg |
0.508699 | 3ddf665cb8554c8a994a244330b4acc2 | Scheme of the neural mass model simulating the dynamics of a single column. Blue continuous lines with arrows indicate glutamatergic excitatory synapses, red lines with open triangles indicate GABAergic faster inhibitory synapses, while green lines with open triangles indicate GABAergic slower inhibitory synapses. Symbols Cij denote the synaptic contacts among the neural populations, where the first subscript and the second subscript designate the post-synaptic population and pre-synaptic population, respectively | PMC10050512 | 11571_2022_9836_Fig1_HTML.jpg |
0.502288 | 21f6bf8a26ca445ca3ccddb249c564ca | Schema of the different layers used in the present model, in which cortical columns representing different features are shown with an open circle. For the sake of simplicity, the features are arranged in a monodimensional chain in each layer. The simplified figure assumes two different objects, each composed of three features, denoted with different filling colors (orange and green). Continuous blue lines and dash-dotted violet lines represent long-range glutamatergic synapses of type W, connecting pyramidal to pyramidal neurons (hence excitatory); dash-dotted red lines represent synapses of type K, connecting pyramidal neurons to fast inhibitory interneurons in the same object (hence inhibitory via a bi-synaptic connection). Cyan lines represent fast synapses of type A, connecting pyramidal neurons to fast inhibitory interneurons in different objects (hence inhibitory via an ultrafast bi-synaptic connection). Note that, to make the plot simpler, we used large arrows to summarize a vector of synapses connecting the three columns in one object to three columns in another object (hence, the cyan fast inhibition line vectors connect three columns in one object to the three columns of another object within layer L2 and within layer L3; the blue excitatory line vector connects three columns of one object in layer L3 to three columns of the subsequent object in layer L2, assuming that the green object precedes the orange object in a stored sequence) | PMC10050512 | 11571_2022_9836_Fig2_HTML.jpg |
0.371923 | b76eb0f86cf44951a68a8cab558003de | Example of the activity (spike density) in the population of pyramidal neurons when a column is not connected with any other column, and is stimulated with a white noise input. The oscillations belong to the alpha range (about 10 Hz) | PMC10050512 | 11571_2022_9836_Fig3_HTML.jpg |
0.427042 | f8d57cde8cfc44c6adddc6ff282429b7 | Combinations of objects used during the present simulations. The combinations presented in panel a includes nine different objects, with different dimensions but orthogonal (i.e., without any common feature). The configuration in panel b presents ten different objects, with the same dimensions but overlapping features. In particular object 2 has 20% of feature overlapping with object 10, and object 4 has 20% of features overlapping with object 6 | PMC10050512 | 11571_2022_9836_Fig4_HTML.jpg |
0.486002 | bea5d73bf87343cda50c16c32c29d11a | An example of the behavior in the WM and L1 layers in feedback. The simulation presents the effect of two separate inputs, provided to the WM layer per 50 ms, between the instants 0.005 and 0.055 s (70% of features are excited in object 1 blue line), and between 0.405 and 0.455 s (70% of features excited in object 2, red line). The variables zp in layers WM and L1 represent the average spike density of all columns in that object (a value 5 means that 100% of features are excited in the object, a value 3.5 means 70% of features excited). Simulation shows that the activity in layer WM is maintained also when its input is zero, and is reset at the presentation of a new object. The activity in L1 oscillates with the theta rhythm, reconstructing all lacking features in the object during the on phase of the rhythm, and sending this information back to WM | PMC10050512 | 11571_2022_9836_Fig5_HTML.jpg |
0.470356 | 05f921fe8c5948888663898be8814e97 | Recovery of a list of objects and phase precession in the modality “sequence ordering memory”. During the simulation a brief 50 ms excitatory input is given to 70% of features of object 1 in WM layer between the instants 0.005 and 0.055 s. As a consequence, the network in L3 reconstructs the initial sequence of objects “1–2–3–4-5–6” nested within the theta cycle, and maintains this sequence even after the cessation of the input stimulus, until a new stimulus is given. Subsequently, a brief presentation of 70% of features of object 2 is given between the instants 0.605 and 0.655 s, causing the appearance of the sequence “2–3–4–5-6–7-8” nested within the theta cycle. Finally, a brief presentation of 70% of features of object 3 between the instants 1.205 and 1.255 s recovers the sequence “3–4–5–6–7–8–9–10”. Note the occurrence of phase precession when the input shifts from 1 to 3 | PMC10050512 | 11571_2022_9836_Fig6_HTML.jpg |
0.457069 | dbe27e3771c2445dbe4f862e6408e116 | Simulation in the modality “semantic memory”. Note that, in this modality, thanks to the use of greater synapses between WM and L1, the activity in L1 does not oscillate with a theta rhythm. An excitatory input is given to 70% of pixels in four different objects (object 1, object 2, object 3 and object 4) in WM per 50 ms. The network can maintain all objects in memory; the activity in L3 exhibits a desynchronization of all features in the four objects, assigning a constant temporal sequence (in this particular case the sequence is object1—object 2—object 4—object 3, but it can change from one simulation to the another due to noise realization). It is worth noting that, in this modality, this sequence was not learned by the network, i.e. we do not have feedback synapses from L3 to L2 | PMC10050512 | 11571_2022_9836_Fig7_HTML.jpg |
0.375709 | f60469d7c86c417e93d2cbe5baa922db | Simulation in the modality “semantic memory”. In this figure, only the average spike density of the different objects in layer L3 is presented for brevity. The five panels represent model response when 5, 6, 7, 8 or 9 objects are simultaneously used as input in WM per 50 ms. The network maintains all objects in memory and desynchronize them, but without maintaining any constant order (the frequency and positions of the objects can change with time). Note that, in these simulations, the strength of the fast synapses \documentclass[12pt]{minimal}
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\begin{document}$${A}_{ij}^{{L}_{2},{L}_{2}}$$\end{document}AijL2,L2 and \documentclass[12pt]{minimal}
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\begin{document}$${A}_{ij}^{{L}_{3},{L}_{3}}$$\end{document}AijL3,L3 has been increased by a factor as high as 1.7 compared with the value used in Fig. 7, which justifies the smaller frequency as a consequence of an increased competition among objects | PMC10050512 | 11571_2022_9836_Fig8_HTML.jpg |
0.457127 | 9da4cb14ddd84f07aafb081823be0810 | Three examples of model behavior in pathological conditions. In this figure, only the average spike density of the different objects in layer L3 is presented for brevity. The upper panel shows model behavior in the modality “sequence ordering memory” after presentation of the object 1, after a reduction of parameter Cff (which represents the auto-inhibition of the fast GABAergic interneurons) to 1/4 of its normal level. This change can simulate alterations in Alzheimer disease. The second and third panels show model behavior in the modality “sequence ordering” after presentation of the object 1, and in the modality “semantic memory” after presentation of five objects simultaneously. These simulations have been performed after a reduction in the strength of synapses A to 1/4 of their original value (an alteration which can mimic that occurring in schizophrenic patients). Note that the network can neither correctly recover the sequence nor correctly desynchronize objects | PMC10050512 | 11571_2022_9836_Fig9_HTML.jpg |
0.358398 | 7ae6373387bc4e30a09b13b3b70348ac | Number of patients with cryptococcal meningitis by years of diagnosis and HIV-serostatus. | PMC10051108 | pathogens-12-00427-g001.jpg |
0.45577 | aa40820676d749e89885266b6911c824 | Cumulative probability of 1-year mortality among patients with cryptococcal meningitis by HIV-serostatus. | PMC10051108 | pathogens-12-00427-g002.jpg |
0.421071 | 30056e60ea7e43e2a919bd1be24e07d0 | Schematic and simplified representation of pathogenetic mechanisms and alterations of gene expression within DRG during DPN. DPN is associated with DRG sensory neuronal atrophy and a reduced intraepidermal nerve fiber density (IENFD) due to a dying-back degeneration of distal axons. Gene expression changes in sensory neurons in DPN are accompanied by structural changes in nuclear bodies, which are essential for transcriptional activity. | PMC10051459 | ijms-24-05977-g001.jpg |
0.432447 | 7019e25896474743a5205c1bd25da5a6 | The structural alternations of nuclear bodies in DPN. In non-diabetic DRG sensory neurons, a single CB (coilin) was in contact with a nucleolus (DAPI), and nuclear speckles (SRSF2) were located in the interchromatin regions of the nucleoplasm in controls (A). Scale bar: 10 μm. In non-diabetic DRG sensory neurons, SMN protein was distributed throughout the cytoplasm and as nuclear foci (B); Scale bars: 20 μm, 10 μm in insets. SMN nuclear foci that collaborate on the assembly of snRNPs were localized within CBs (coilin) in controls (middle row, white arrows) but numerous CBs lost co-localization with SMN nuclear foci (bottom row, yellow arrow) in diabetic nuclei (C). Scale bars: 20 μm, 10 μm in insets. Arrowheads indicate sensory neurons magnified in the insets. SRSF2 is expressed in the nuclear speckles, where MALAT1 is localized, in the DRG sensory neurons in non-diabetic control mice. Anti-neurofilament 200 (NF200) is a marker of large and small myelinated neurons (D). DRG neurons with SRSF2-positive nuclear speckles are moderately reduced in the diabetic mice (E); They are further decreased in diabetic mice with MALAT1 silencing (F). Scale bars = 50 μm, and 20 μm, in insets. (A–C) were adapted with permission from Ref. [41]. 2017 Zochodne, D.W. and (C–F) from Ref. [44]. 2022 Yokota, T. | PMC10051459 | ijms-24-05977-g002.jpg |
0.46421 | 35fa9f3a645445fba74acc99f65cd6ac | Schematic representation of oligonucleotide therapeutics and their mechanisms. HDO suppresses target RNAs. It is a double-stranded artificial functional nucleic acid consisting of a DNA strand as the main strand and an RNA complementary to the main strand, which is called a “gapmer” nucleic acid (LNA). This part is recognized by RNase H, an enzyme that degrades RNA in the cell, and the complementary strand RNA is cleaved. The resulting single main strand binds to the target RNA, and RNase H again cleaves the target RNA to exert its gene suppression effect. | PMC10051459 | ijms-24-05977-g003.jpg |
0.437013 | 2462250842fd4ba7b22846576d04c8c1 | (a) Typical binary layer prepared at 5 °C, effectively placed on the lower plate of the rheometer; (b) The Teflon stage, having a sealing O-ring, where the alginate-Ca++ layers were prepared, along with details of the multiholder PVC base; (c) positioning an alginate-Ca++ layer on the lower plate of the rheometer. | PMC10051575 | polymers-15-01558-g001.jpg |
0.454073 | 1a140d95aa794e688fb8036b0414d2c9 | Strain sweeps of the 2 wt.% alginate-Ca++ layers for the two studied Ca++ concentrations: (a) actual strain sweeps data; (b) normalized data to the values at 0.1% strain; the inset plot provides details at the shear-thickening onset. | PMC10051575 | polymers-15-01558-g002.jpg |
0.469256 | 2d471cd18f7f477894c16112f87dc94e | Strain sweeps of the gelatin-alginate layer and 2 wt.% alginate-Ca++ layer for comparison: (a) actual strain sweeps data; (b) normalized data to the values at 0.1% strain; the inset plot provides details at the shear-thickening onset. | PMC10051575 | polymers-15-01558-g003.jpg |
0.523063 | bb7843fdc56c499987e1900e4586c665 | The 3D L-B curves for the alginate-Ca++ layer (a,c,e,g) and gelatin-alginate layer (b,d,f,h). The red-filled points indicate the total intracycle shear stress, and the blue and black points show the viscous and elastic projections, respectively. The noncontinuous lines are the viscous (blue) and elastic (black) stress contributions obtained by the MITlaos software. | PMC10051575 | polymers-15-01558-g004a.jpg |
0.429833 | 1414f51d560a439ab7c81a6d12d3f618 | Quantitative analysis of nonlinear response of gelatin-alginate layer and the alginate-Ca++ layer: (a) the strain-stiffening ratio S, (filled symbols) and shear-thickening ratio T, (open symbols) are given as the functions of the strain amplitudes; (b) data from (a) rescaled, with a shifting factor af for the strain (equal to 11.7) of the alginate-Ca++ layer. | PMC10051575 | polymers-15-01558-g005.jpg |
0.437292 | b059cf87c49d45d7901598e174f087e9 | Experimental schema. Abbreviation: ONFH, osteonecrosis of femoral head. | PMC10051982 | medicina-59-00508-g001.jpg |
0.459998 | 78a3e21df3e3467cba04b73c1c3aef49 | Anatomic specimens of the femur obtained from ten cadavers. Note: A: Femoral head, B: Femoral neck. We drew the 1st and 2nd lines along the midline of the femoral neck on the anterior–posterior and lateral plane, respectively. Then, we drew the 3rd line that crosses the 1st and 2nd lines from postero-superior to infero-anterior directions. We also drew the 4th line, that was vertical to the 3rd line and then crossed the center of the femoral head. In parallel with the 4th line, we drew the 5th line at 5 mm proximal to the head–neck junction. Finally, we dissected 50% of the antero-superior part of the remaining femoral head based on the 3rd and 5th lines. | PMC10051982 | medicina-59-00508-g002.jpg |
0.444258 | a95ce8dc8d1d4894992a2abfb111d0ab | The preparation of the femoral specimens. (A) The femoral specimen was inserted in the resin block along the anatomical axis. (B) The femoral specimen with the femoral head implant was placed in a custom-made jig for the loading–unloading test. | PMC10051982 | medicina-59-00508-g003.jpg |
0.453332 | 07dfdd8807ca429c8f882a55b7177305 | Cross sections of the femoral specimens. (A) In the control group, bone cements were used to fill the gap between bone and the implant. There were no other bone defects filled with bone cement. (B) In the experimental group, bone defects were used to sufficiently fill 50% of the bone defects. There were no other bone defects. | PMC10051982 | medicina-59-00508-g004.jpg |
0.417518 | 7904296fa7914bbfbb0135aab05badf9 | The degree of the displacement of the femoral head implant. | PMC10051982 | medicina-59-00508-g005.jpg |
0.52874 | 351b406a0d794071839aa3323571496a | Changes in the degree of displacement at the final phase from the initial phase. | PMC10051982 | medicina-59-00508-g006.jpg |
0.51654 | 1d41fdd0ec70476d9bbc6359770b4074 | Scanning electron microscopy of the interface between the bone and bone cement. There was no gap between the bone and bone cement in all four pairs of the femoral specimens. | PMC10051982 | medicina-59-00508-g007.jpg |
0.399234 | c05639c055294bd98848377ee2716c0c | Scanning electron microscopy of the interface between the femoral head implant and bone cement. | PMC10051982 | medicina-59-00508-g008.jpg |
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