Brood thermoregulation effectiveness is positively linked to the amount of brood but not to the number of bees in honeybee colonies by Godeau, Ugoline, Pioz, Maryline, Martin, Olivier, Rüger, Charlotte, Crauser, Didier, Le Conte, Yves, Henry, Mickael, Alaux, Cédric

“…The relationship between brood amount and mean temperature was however too weak for clearly discriminating colony population size based solely on the brood thermoregulatory effectiveness. …”
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Features and predictive value of 6-min walk test outcomes in interstitial lung disease: an observation study using wearable monitors by Jiaying Li, Xiaobing Wu, Xiaoyan Li, Miaozhen Deng, Xinyin Liang, Huiqun Wei

“…SpO2 at the third minute was the most valuable predictor of patients’ lung function. 6MWD and SpO2 changes were more discriminative in subtypes.…”
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Identification of Crucial lncRNAs for Luminal A Breast Cancer through RNA Sequencing by Xinjian Jia, Hai Lei, Xuemei Jiang, Ying Yi, Xue Luo, Junyan Li, Yu Chen, Sha Liu, Chengcheng Yang

“…The protein expression results of TUBB3, MCM2, MYOC, FN1, S100A7, and TFF1 were consistent with the mRNA expression result COL10A1, LEP, PLIN1, PGM5-AS1, and TRHDE-AD1 were capable of discriminating luminal A breast cancer and normal controls. …”
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Kombinasi Feature Selection Fisher Score dan Principal Component Analysis (PCA) untuk Klasifikasi Cervix Dysplasia by Krisan Aprian Widagdo, Kusworo Adi, Rahmat Gernowo

“…Only relevant and discriminant features can provide an accurate classification result. …”
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Optic Nerve Head Hemoglobin Levels in Glaucoma: A Structural and Functional Correlation Study by Janaina A. G. Rocha, Diego T. Dias, Maria Betânia C. Lemos, Fábio N. Kanadani, Augusto Paranhos, Carolina P. B. Gracitelli, Tiago S. Prata

“…Software Laguna ONhE was used to estimate the amount of ONH Hb and to determine the glaucoma discriminant function (GDF) index. Scatter plots were constructed, and regression analysis was used to investigate the correlations between GDF, average pRNFL thickness, and VF mean deviation (VFMD) index values. …”
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A Data-Driven Deep Learning Framework for Prediction of Traffic Crashes at Road Intersections by Mengxiang Wang, Wang-Chien Lee, Na Liu, Qiang Fu, Fujun Wan, Ge Yu

“…In Phase I we extract discriminative latent features called <i>topological-relational features (tr-features)</i>, of intersections using a neural network model by exploiting topological information of the road network and various relationships amongst nearby intersections. …”
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Low Serum miR-607 Level as a Potential Diagnostic and Prognostic Biomarker in Patients of Pancreatic Ductal Adenocarcinoma: A Preliminary Study by Dawei Jiang, Xiangfei Yuan, Jianqi Ni, Lan Shen, Min Cai, Liu Xu

“…Furthermore, the area under the curve (AUC) of serum miR-607 for discriminating PDAC patients was 0.785 with a sensitivity of 0.647 and a specificity of 0.772, which was better than those for CA19-9 (AUC: 0.702, sensitivity: 0.607, specificity: 0.736) and CEA (AUC: 0.648, sensitivity: 0.542, specificity: 0.670). …”
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A prediction nomogram for residual after negative pressure aspiration for endogenic cesarean scar ectopic pregnancy: a retrospective study by Yan Lei, Na Zhang, Yu Liu, Xin Du

“…Receiver operating characteristic (ROC) analysis was performed to calculate the area under the curve, sensitivity, specificity, and other metrics to assess its discriminative performance. Clinical decision curves were constructed to evaluate clinical applicability and quantify the net benefit within a range of threshold probabilities. …”
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Identification of climate-sensitive disease incidences in vietnam: A longitudinal retrospective analysis of infectious disease rates between 2014 and 2022 by Cuong Quoc Hoang, Quang Phuong Huynh Nguyen, Thao Phuong Huynh Nguyen, Hieu Trung Nguyen, Linh Thuy Hoang, Giang Huong Vu, Woong-Ki Kim, Hai Duc Nguyen

“…Method: We conducted a retrospective longitudinal study spanning 108 consecutive months from 2014 to 2022 in Can Tho, Vietnam to identify common infectious diseases (excluding tuberculosis, HIV, and COVID-19) and their associations with climate change and determine which common diseases presented concurrently with the COVID-19 period using multivariate linear regression, receiver operating characteristic (ROC) curve analysis, Bayesian kernel machine regression (BKMR) and orthogonal partial least squares discriminant analysis. Result: The five infectious diseases with the highest average incidence rates per 100,000 people were diarrhea; hand, foot, and mouth disease (HFMD); dengue fever; viral hepatitis; and influenza. …”
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Diagnosis of Schizophrenia and Its Subtypes Using MRI and Machine Learning by Hosna Tavakoli, Reza Rostami, Reza Shalbaf, Mohammad‐Reza Nazem‐Zadeh

“…Furthermore, we applied the methods for discriminating subtypes of schizophrenia. To streamline the feature set, various feature selection techniques were applied. …”
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Associations between left atrial indices and cardiorespiratory and muscular fitness among physically active military personnel by Yen-Chen Lin, Yen-Chen Lin, Pang-Yen Liu, Kun-Zhe Tsai, Kun-Zhe Tsai, Kun-Zhe Tsai, Wei-Chun Huang, Wei-Chun Huang, Wen-Chung Yu, Wen-Chung Yu, Xuemei Sui, Carl J. Lavie, Gen-Min Lin, Gen-Min Lin

“…The top 16% of runners were compared sex-specifically, with the remaining 84% as controls to identify LA discriminators for running capacity. LA composite indices were defined as the LA volume index (LAVI) divided by the stiffness index (LASI) or pressure index (mitral E/e′). …”
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Predicting High-Grade Acute Urinary Toxicity and Lower Gastrointestinal Toxicity After Postoperative Volumetric Modulated Arc Therapy for Cervical and Endometrial Cancer Using a No... by Tianyu Yang, Zhe Ji, Runhong Lei, Ang Qu, Weijuan Jiang, Xiuwen Deng, Ping Jiang

“…Both models were considered to have relatively good discriminative accuracy and could provide a high net benefit in clinical applications. (4) Conclusions: We developed NTCP models to predict the probability for grade ≥ 2 AUT and ALGIT. …”
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Metabolic Profiling by UPLC–Orbitrap–MS/MS of Liver from C57BL/6 Mice with DSS-Induced Inflammatory Bowel Disease by Zhongquan Xin, Zhenya Zhai, Hongrong Long, Fan Zhang, Xiaojun Ni, Jinping Deng, Lunzhao Yi, Baichuan Deng

“…Furthermore, the top 20 metabolites, such as glutathione, maltose, arachidonic acid, and thiamine, were screened as biomarkers via one-way analysis of variance (one-way ANOVA, p<0.05) coupled with variable importance for project values (VIP >1) of orthogonal partial least-squares discriminant analysis (OPLS-DA), which could be upregulated or downregulated with the cecropin A and antibiotics treatment. …”
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Bayesian Estimation of the True Bovine Brucellosis Prevalence in Vaccinated and Non-Vaccinated Ecuadorian Cattle Populations, and the Sensitivity and Specificity of a Competitive a... by Ana Dolores Garrido Haro, Margoth Yolanda Barrionuevo Samaniego, Paola Moreno-Caballeros, Alexandra Burbano-Enríquez, Verónica Alexandra Salas Torres, María Cristina Galante Mulki, Constance Wielick, Jorge Ron-Román, Claude Saegerman

“…As serology is a convenient method for detecting antibodies against <i>Brucella</i>, evaluating the diagnostic performance and discriminative ability of such tests in various epidemiological settings is required. …”
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A Study of Volatile Organic Compounds in Patients with Obstructive Sleep Apnea by Chuan Hao Gui, Zhunan Jia, Zihao Xing, Fuchang Zhang, Fang Du, Alex Chengyao Tham, Ming Yann Lim, Yaw Khian Chong, Agnes Si Qi Chew, Khai Beng Chong

“…To as-sess the differences in VOC concentrations between OSA patients and control subjects, the Wilcoxon rank-sum test was employed. partial least squares discriminant analysis (PLS-DA) analysis and heatmap plot was conducted to visualize the differentiation between OSA patients and control subjects based on their VOC profiles.In order to further investigate the correlation between identified biomarkers and the severity of OSA measured by Apnea–Hypopnea Index (AHI), regression analysis was conducted between biomarkers and AHI Index. …”
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Construction and Validation of a Major Depression Risk Predictive Model for Patients with Coronary Heart Disease: Insights from NHANES 2005–2018 by Li-xiang Zhang, Shan-bing Hou, Fang-fang Zhao, Ting-ting Wang, Ying Jiang, Xiao-juan Zhou, Jiao-yu Cao

“…The areas under the receiver operating characteristic (ROC) curve in the nomogram model for both the development and validation cohorts were 0.816 (95% confidence interval (CI): 0.776–0.857) and 0.765 (95% CI: 0.699–0.832), respectively, indicating the model possessed strong discriminative ability. Brier scores in the development and validation cohorts were 0.107 and 0.127, respectively, both well below the 0.25 threshold, demonstrating good calibration. …”
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Predictive Factors for Failure of Noninvasive Ventilation in Adult Intensive Care Unit: A Retrospective Clinical Study by Qimin Chen, Ming Liu, Bo Liu, Wei Li, Daixiu Gao, Lulu Xie, Yu Wu, Liang Li, Ying Liu, Ying Wang, Tang Yan, Yuanyi Liu, Yumei Cheng, Xu Liu, Feng Shen

“…A predictive model based on the risk factors could help to discriminate patients who are vulnerable to NIV failure.…”
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Freeze-Drying for the Reduction of Fruit and Vegetable Chain Losses: A Sustainable Solution to Produce Potential Health-Promoting Food Applications by Dario Donno, Giovanna Neirotti, Annachiara Fioccardi, Zoarilala Rinah Razafindrakoto, Nantenaina Tombozara, Maria Gabriella Mellano, Gabriele Loris Beccaro, Giovanni Gamba

“…Catechins, flavonols, and phenolic acids were the predominant and most discriminating classes in different products. The TPC values obtained in this study ranged from 366.86 ± 71.30 mg GAE/100 g DW (apple, MD) to 1077.13 ± 35.47 mg GAE/100 g DW (blueberry, MID) and 1102.25 ± 219.71 mg GAE/100 g DW (kaki, KD). …”
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Identification of novel autoantibodies in Sjögren’s disease by Fiona Engelke, Petra Budde, Salvatore De Vita, Thomas Dörner, Diana Ernst, Jan Gras, Harald Heidecke, Annika Loredana Kilian, Katja Kniesch, Ann-Sophie Lindemann, Luca Quartuccio, Jacob Ritter, Kai Schulze-Forster, Benjamin Seeliger, Hans-Dieter Zucht, Torsten Witte

“…We have developed a three and five marker panel for the detection of Ro/SSA negative patients, consisting of anti-FNBP4, anti-SNRPC, anti-CCL4, anti-M3 and anti-KDM6B, which had a sensitivity of up to 46% with a specificity of 95% (SjD vs. HC). Both panels discriminate these patients from HC, whereas the three-marker more effectively differentiates between Ro/SSA negative patients and NSS.DiscussionNovel autoantibodies will facilitate the diagnosis of Ro/SSA negative patients with SjD, in particular our predictive panel will be useful in the diagnosis and differentiation of these patients from healthy and NSS individuals in a clinical context. …”
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Determining the status of tertiary lymphoid structures in invasive pulmonary adenocarcinoma based on chest CT radiomic features by Ye Yu, Tianshu Yang, Pengfei Ma, Yan Zeng, Yongming Dai, Yicheng Fu, Aie Liu, Ying Zhang, Guanglei Zhuang, Yan Zhou, Huawei Wu

“…Conclusions The radiomics model has a higher AUC than the clinical model and effectively discriminates TLSs in patients with IA. Critical relevance statement This study demonstrates that the radiomics-based model can differentiate TLSs in patients with IA. …”
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