Development and Validation of a Predictive Model Based on Serum Silent Information Regulator 6 Levels in Chinese Older Adult Patients: Cross-Sectional Descriptive Study by Yuzi You, Wei Liang, Yajie Zhao

“…Model performance was assessed by examining discrimination, calibration, and clinical use separately. …”
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Analysis of argument structure constructions in the large language model BERT by Pegah Ramezani, Pegah Ramezani, Achim Schilling, Achim Schilling, Patrick Krauss, Patrick Krauss

“…Our analyses involved visualizing the embeddings with Multidimensional Scaling (MDS) and t-Distributed Stochastic Neighbor Embedding (t-SNE), and calculating the Generalized Discrimination Value (GDV) to quantify the degree of clustering. …”
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Mixed-methods study assessing the accuracy of verbal autopsy and sociocultural determinants of infant mortality in Gujarat, India by Monika Patel, Bhavesh J. Khandhar, Niketkumar D. Satapara, M Yogesh, Samarth Rabadiya, Soumya Sharma

“…Qualitative findings revealed barriers to timely care (lack of danger sign recognition, financial constraints, traditional healer reliance), cultural beliefs impacting care practices, gender discrimination, health system constraints (staff shortages, diagnostic limitations), and challenges with VA implementation (recall bias, desire for feedback). …”
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External validation and revision of the Lafontaine criteria for unstable distal radius fractures: a retrospective study by Pornpanit Dissaneewate, Phatklao Thanavirun, Yanin Tangjaroenpaisan, Kantapon Dissaneewate

“…Conclusions The performance of the Lafontaine criteria in discriminating unstable distal radius fractures was unacceptable in our study cohort. …”
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Development and validation of the Information Literacy Measurement Scale (ILMS-34) in Chinese public health practitioners by Hui Li, Ke-Ying Li, Xia-Rong Hu, Xuan Hong, Yan-Ting He, Hua-Wei Xiong, Yi-Li Zhang

“…There were significant differences in each item between the high and low-scoring groups (p < 0.001), indicating good item discrimination. The ILMS-34 demonstrated good internal consistency with a Cronbach's α coefficient of 0.97 for the total scale (four subscales: 0.92, 0.92, 0.98, and 0.91, respectively). …”
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Derivation of a simple risk calculator for predicting clinical worsening in patients with pulmonary hypertension due to interstitial lung disease by K. El-Kersh, R. Bag, N. Bhatt, C. King, A. Waxman, F. Rischard, H. Kim, D. Cella, E. Shen, SD Nathan

“…Conclusion: These two risk calculators provide a simple way to risk stratify ILD-PH patients with clinically useful discrimination. The calculators are easy to employ in clinical practice, since they utilize assessments commonly collected in the care of patients with ILD-PH. …”
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Advancing a machine learning-based decision support tool for pre-hospital assessment of dyspnoea by emergency medical service clinicians: a retrospective observational study by Wivica Kauppi, Henrik Imberg, Johan Herlitz, Oskar Molin, Christer Axelsson, Carl Magnusson

“…Logistic regression, LASSO logistic regression and gradient boosting were compared to the Rapid Emergency Triage and Treatment System for Adults (RETTS-A) and National Early Warning Score2 (NEWS2) with respect to discrimination and calibration of predictions. Eighty percent (80%) of the data was used for model development and 20% for model validation. …”
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Geriatric Trauma Outcome Score for Predicting Mortality among Older Korean Adults with Trauma: Is It Applicable in All Cases? by Jonghee Han, Su Young Yoon, Junepill Seok, Jin Young Lee, Jin Suk Lee, Jin Bong Ye, Younghoon Sul, Se Heon Kim, Hong Rye Kim

“…We used receiver operating characteristic curves and calibration plots to assess the discrimination and calibration of the scoring systems. …”
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A Large-Scale Agricultural Land Classification Method Based on Synergistic Integration of Time Series Red-Edge Vegetation Index and Phenological Features by Huansan Zhao, Chunyan Chang, Zhuoran Wang, Gengxing Zhao

“…The study yielded three significant findings: (1) The synergistic application of NDRE₇₀₅ and PSRI significantly outperformed single-index approaches, demonstrating the effectiveness of our dual-index strategy; (2) The integration of SFPs and PFPs with time series REVI markedly enhanced feature discrimination at crucial growth stages, with PFPs showing superior capability in distinguishing agricultural land types through amplified phenological signatures; (3) Our optimal classification scheme (FC6), leveraging both enhanced spatial and phenological features, achieved remarkable accuracy (93.21%) with a Kappa coefficient of 0.9159, representing improvements of 4.83% and 0.0538, respectively, over the baseline approach. …”
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Stigmatization of people with mental illness – a matter of milieu-specific worldviews? Results from a population-based survey in Germany by Jenny Spahlholz, Eva Baumann, Sven Speerforck, Sven Speerforck, Christian Sander, Christian Sander, Matthias C. Angermeyer, Georg Schomerus, Georg Schomerus

“…Two stigma measures associated with the stereotype and status loss/discrimination components were assessed (i.e., the Social Distance Scale and a list of well-known stereotypes associated with depression or schizophrenia). …”
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Multimodal cell-free DNA whole-genome TAPS is sensitive and reveals specific cancer signals by Dimitrios V. Vavoulis, Anthony Cutts, Nishita Thota, Jordan Brown, Robert Sugar, Antonio Rueda, Arman Ardalan, Kieran Howard, Flavia Matos Santo, Thippesh Sannasiddappa, Bronwen Miller, Stephen Ash, Yibin Liu, Chun-Xiao Song, Brian D. Nicholson, Helene Dreau, Carolyn Tregidgo, Anna Schuh

“…Furthermore, in silico validation demonstrates strong discrimination (86% AUC) at ctDNA fractions as low as 0.7%. …”
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Development and validation of a real-time prediction model for acute kidney injury in hospitalized patients by Yuhui Zhang, Damin Xu, Jianwei Gao, Ruiguo Wang, Kun Yan, Hong Liang, Juan Xu, Youlu Zhao, Xizi Zheng, Lingyi Xu, Jinwei Wang, Fude Zhou, Guopeng Zhou, Qingqing Zhou, Zhao Yang, Xiaoli Chen, Yulan Shen, Tianrong Ji, Yunlin Feng, Ping Wang, Jundong Jiao, Li Wang, Jicheng Lv, Li Yang

“…The model containing 20 readily available variables demonstrates consistent, high levels of predictive discrimination in validation cohort, with AUCs for serum creatinine-based AKI and severe AKI within 48 h ranging from 0.74–0.85 and 0.83–0.90 for transported models and from 0.81–0.90 and 0.88–0.95 for refitted models, respectively. …”
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A Novel Nomogram for Predicting the Risk of Pneumonia After Intracerebral Hemorrhage by Sun Y, Zhang L, Huang B, He Q, Hu B

“…In addition, we validated other models with this cohort, which showed that our model had better discrimination. Moreover, the area under the curve of the catboost model established using the above nine variables in the training set and the validation set is 0.87(95% CI, 0.80– 0.90) and 0.77(95% CI, 0.72– 0.80).Conclusion: We have established a simple and easy predictive tool. …”
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Application of a new composite genetic marker semen-specific methylation-microhaplotype in the analysis of semen–vaginal fluid mixtures by Dan Wen, Hao Xing, Xuan Tang, Yue Wang, Bowei Jiang, Jienan Li, Ying Liu, Lagabaiyila Zha

“…To further improve discrimination power, five methylation-SNP loci were also included. …”
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Emergency Physicians’ and Nurses’ Perspectives on Transgender, Intersexual, and Non-Binary Patients in Germany by Torben Brod, Carsten Stoetzer, Christoph Schroeder, Stephanie Stiel, Kambiz Afshar

“…Introduction: Providing appropriate healthcare for transgender, intersexual and non-binary (TIN) individuals remains a significant challenge, as this group experiences higher rates of health inequalities, discrimination, and barriers to accessing care. Emergency physicians (EP) often lack formal training and knowledge about caring for TIN patients, while comparatively less evidence is available for other healthcare professionals, including emergency nurses (EN). …”
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Factors Responsible For School Dropout At Different Levels of Education in Selected Academic Institutions in Kisoro Municipality Southern Division Kisoro District. by Kamahoro, Phionah

“…The research findings showed that the causes of school dropout in Kisoro municipality include school dues 41 (18% ), absenteeism 15(07% ), house chores 20(09% ), school distance 19(08% ), cultural factors 27(12%), home background 34(15%), parents education 26911 %) and gender discrimination 40(18%). The impact of school dropout among students in Kisoro municipality included social problems 47(21 %), an increased unit of cost of education 24(11 %), unemployment 31 (14%), high levels of crime 39(18%), low academic performance 69(31 %) and increased illiterate population 12(05%). …”
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External Validation of UDCA Response Score in Slovak and Croatian Patients with Primary Biliary Cholangitis by Jakub Gazda, Martin Janicko, Sylvia Drazilova, Ivica Grgurevic, Tajana Filipec Kanizaj, Tomas Koller, Beatrica Bodorovska, Maja Mijic, Ivana Mikolasevic, Ivana Knezevic Stromar, Branislav Kucinsky, Matej Gazda, Peter Jarcuska

“…We used a cohort of Slovak and Croatian treatment-naïve PBC patients to quantify the discrimination ability using the area under receiver operating characteristic curve (AUROC) and its 95% confidence interval (CI). …”
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High‐performance visible and near‐infrared dual‐band photodetector based on anisotropic 2D NbS3 with perpendicularly reversed polarization behaviors by Jidong Liu, Haibo Gan, Qiaoyan Hao, Yonghong Zeng, Youning Gong, Jiaqi Zhu, Jiarui Huang, Fei Liu, Wenjing Zhang

“…Abstract Dual‐band photodetectors exhibit considerable advantages in target discrimination and navigation compared to single‐band devices in complex circumstances. …”
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Adjustment of the Framingham index by abdominal aortic calcification scores enables a more accurate prediction of long-term cardiac events in general population aged 40 years and a... by Xiao-Jun Liu, Li Wang, Li-sha Zhang, Li-Fei Cao, Zhao-Fei Wan, Jia-Hong Xue, Yan-Ru He, Xin-Hong Wang, Xiao-Fang Bai

“…Additionally, the predictive value of FRS alone and combined with AAC score was estimated by comparing the area under the receiver-operating characteristic (ROC) curve (AUC) and calculating Integrated Discrimination Improvement (IDI). Results During a median of 70.50 months (interquartile range 58.43–82.57 months), 49 (1.649%) experienced cardiac death in the follow-up. …”
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Fluorescence images of skin lesions and automated diagnosis using convolutional neural networks by Matheus B. Rocha, Sebastiao Pratavieira, Renan Souza Vieira, Juliana Duarte Geller, Amanda Lima Mutz Stein, Fernanda Sales Soares de Oliveira, Tania R.P. Canuto, Luciana de Paula Vieira, Renan Rossoni, Maria C.S. Santos, Patricia H.L. Frasson, Renato A. Krohling

“…Experimental results indicate that fluorescence images are competitive with clinical images (baseline) for classifying major skin lesions and show promising potential for discrimination.…”
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