The AFFIRM Framework for gender-affirming care: qualitative findings from the Transgender and Gender Diverse Health Equity Study by Meg Quint, Schuyler Bailar, Alexis Miranda, Shalender Bhasin, Devin O’Brien-Coon, Sari L. Reisner

“…Abstract Background Transgender, nonbinary, and gender diverse (TGD) people experience stigma in healthcare settings impacting healthcare utilization, including avoidance of care due to anticipated discrimination. Gender-affirming care refers to care for medical gender affirmation, such as gender-affirming hormones and surgery, as well as general care that affirms and respects TGD patients. …”
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Report on the Academic Symposium: Youth Quotas − The Answer to Changes in Age Demographics? by Igor Dimitrijoski

“…Regarding the composition of party lists, one speaker pointed to the problem of legitimacy in the outcome of an election. The positive discrimination of youth within a societal group has to be justified because other groups could feel disadvantaged by the implementation of such a strong instrument. …”
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Prognostic value of neutrophil-to-lymphocyte ratio dynamics in patients with septic acute kidney injury: a cohort study by Wei Wei, Caihong Liu, Guojiao Song, Letian Yang, Jian Li, Bo Wang, Ting Yin, Yingying Yang, Liang Ma, Ling Zhang, Ping Fu, Yuliang Zhao

“…The prediction values were compared by area under the receiver-operating characteristic curve (AUROC), net reclassification improvement (NRI), and integrated discrimination improvement (IDI) analyses.Results Of the 413 participants, the mean age was 63 ± 17 years, and 134 were female (32.4%). …”
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Predictive value of peripheral blood SNORD55 for prognosis of atrial fibrillation patients by WANG Yu, WANG Yu, WU Na, YANG Lanqing

“…The area under the receiver operating characteristic curve （AUC） was utilized to evaluate the discrimination， and the net reclassification index （NRI） and comprehensive discriminant improvement index （IDI） were calculated to evaluate the improvement of reclassification ability. …”
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Development and validation of a nomogram for predicting lung cancer based on acoustic–clinical features by Zhou Lu, Zhou Lu, Jiaojiao Sha, Xunxia Zhu, Xiaoyong Shen, Xiaoyu Chen, Xin Tan, Rouyan Pan, Shuyi Zhang, Shi Liu, Tao Jiang, Jiatuo Xu

“…Notably, our nomogram model outperformed other models in terms of AUC, accuracy, and specificity.ConclusionThe acoustic–clinical nomogram developed in this study demonstrates robust discrimination, calibration, and clinical application value. …”
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Evaluation of Machine Learning Algorithms for Classification of Visual Stimulation-Induced EEG Signals in 2D and 3D VR Videos by Mingliang Zuo, Xiaoyu Chen, Li Sui

“…Current research primarily utilizes power spectral density (PSD) features to differentiate between 2D and 3D VR conditions, but the potential of other feature parameters for enhanced discrimination is unclear. Additionally, the use of machine learning techniques to classify EEG signals from 2D and 3D VR using alternative features has not been thoroughly investigated, highlighting the need for further research to identify robust EEG features and effective classification methods. …”
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Effects of oxidative weathering on Raman spectra of charcoal and bone chars: consequences in archaeology and paleothermometry by Deldicque, Damien, Rouzaud, Jean-Noël, Vandevelde, Ségolène, Medina-Alcaide, Maria Ángeles, Ferrier, Catherine, Perrenoud, Christian, Pozzi, Jean-Pierre, Cabanis, Manon

“…This makes it possible to differentiate between unweathered and weathered chars and we show that the recent methods of Raman thermometry and precursor discrimination are no longer valid when applied to oxidized chars. …”
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Survival analysis of patients with hepatocellular carcinoma based on the ratio of platelet count to spleen diameter by Huiwen Yan, Dongdong Zhou, Dongdong Zhou, Xiaoli Liu, Peng Wang, Tingting Jiang, Zhiyun Yang

“…In the validation cohort, the nomogram1 still gave good discrimination (C-index: 0.769, 95%CI: 0.740–0.798; AUC: 0.867, 95%CI: 0.826–0.902). …”
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ConvXGB: A novel deep learning model to predict recurrence risk of early-stage cervical cancer following surgery using multiparametric MRI images by Ji Wu, Jian Li, Bo Huang, Sunbin Dong, Luyang Wu, Xiping Shen, Zhigang Zheng

“…This model showed better discrimination, calibration and clinical utility. Grad-CAM analysis was adopted to help clinicians better understand the predictive results. …”
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Effects of stair riser height on ankle proprioception in individuals with and without chronic ankle stability by Xueying Wang, Xueying Wang, Zheng Wang, Roger Adams, Roger Adams, Yang Gao, Jie Lyu, Jia Han, Jia Han

“…The Ankle Inversion Discrimination Apparatus for Stair Descent (AIDASD) was used to measure ankle inversion proprioception across 3 different riser heights: 15 cm, 17.5 cm, and 20 cm during stair descent.ResultsANOVA showed that individuals with CAI performed significantly worse than health group across all tested riser heights (F = 44.066, p < 0.001), with a significant main effect of riser height (F = 13.288, p < 0.001). …”
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Combined morphology and radiomics of intravoxel incoherent movement as a predictive model for the pathologic complete response before neoadjuvant chemotherapy in patients with brea... by Yunyan Zheng, Hui Zhang, Huijian Chen, Yang Song, Ping Lu, Mingping Ma, Mengbo Lin, Muzhen He

“…The nomogram displayed superior predictive discrimination with an AUC of 0.862 for the training cohort and 0.861 for the testing cohort. …”
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An Emotion-Driven Vocal Biomarker-Based PTSD Screening Tool by Thomas F. Quatieri, Jing Wang, James R. Williamson, Richard DeLaura, Tanya Talkar, Nancy P. Solomon, Stefanie E. Kuchinsky, Megan Eitel, Tracey Brickell, Sara Lippa, Kristin J. Heaton, Douglas S. Brungart, Louis French, Rael Lange, Jeffrey Palmer, Hayley Reynolds

“…<italic>Results:</italic> Speech from low-arousal and positive-valence regions provide the highest discrimination for PTSD. Our model achieved an AUC (area under the curve) of 0.80 in detecting PCL-C ratings, outperforming models with no emotion filtering (AUC &#x003D; 0.68). …”
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Development, validation, and clinical application of a machine learning model for risk stratification and management of cervical cancer screening based on full-genotyping hrHPV tes... by Binhua Dong, Zhen Lu, Tianjie Yang, Junfeng Wang, Yan Zhang, Xunyuan Tuo, Juntao Wang, Shaomei Lin, Hongning Cai, Huan Cheng, Xiaoli Cao, Xinxin Huang, Zheng Zheng, Chong Miao, Yue Wang, Huifeng Xue, Shuxia Xu, Xianhua Liu, Huachun Zou, Pengming Sun

“…In various screening settings across China, the performance of discrimination was evaluated using area under the receiver operating characteristic curve (AUROC), sensitivity, specificity, area under the precision–recall curve (AUPRC), and accuracy. …”
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Clinical value of soluble urokinase-type plasminogen activator receptor in predicting sepsis-associated acute kidney injury by Wenwen Zhang, Yue Gu, Jing Zhou, Juntao Wang, Xiaoru Zhao, Xiaoyu Deng, Han Li, Lei Yan, Xiaojing Jiao, Fengmin Shao

“…The plasma suPAR had the highest area under the ROC curve of 0.700 (95% confidence interval (CI), 0.621–0.779) at 24-h post-sepsis diagnosis, at which the best discrimination ability for S-AKI was achieved with suPAR of ≥6.31 ng/mL (sensitivity 61.9% and specificity 71.6%). …”
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IgG Glycosylation Profile and the Glycan Score Are Associated with Type 2 Diabetes in Independent Chinese Populations: A Case-Control Study by Zhiyuan Wu, Haibin Li, Di Liu, Lixin Tao, Jie Zhang, Baolu Liang, Xiangtong Liu, Xiaonan Wang, Xia Li, Youxin Wang, Wei Wang, Xiuhua Guo

“…Area under curve (AUC) using 10-fold and bootstrap validation, net reclassification index (NRI), and integrated discrimination index (IDI) were calculated for the glycan score. …”
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High Frequency of AIFM1 Variants and Phenotype Progression of Auditory Neuropathy in a Chinese Population by Hongyang Wang, Dan Bing, Jin Li, Linyi Xie, Fen Xiong, Lan Lan, Dayong Wang, Jing Guan, Qiuju Wang

“…There was no hearing threshold increase during the short-term follow-up period (1-10 years), but the low-frequency and high-frequency hearing thresholds showed a significant increase with the prolongation of follow-up time. The speech discrimination score progressed gradually and significantly along with the course of the disease and showed a more serious decline, which was disproportionately worse than the pure tone threshold. …”
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Targeting early tau pathology: probiotic diet enhances cognitive function and reduces inflammation in a preclinical Alzheimer’s model by Cassandra M. Flynn, Tamunotonye Omoluabi, Alyssa M. Janes, Emma J. Rodgers, Sarah E. Torraville, Brenda L. Negandhi, Timothy E. Nobel, Shyamchand Mayengbam, Qi Yuan

“…Results Rats expressing pseudophosphorylated tau displayed impairment in spatial Y-maze (F 1,39 = 4.228, p = 0.046), spontaneous object location (F 1,39 = 6.240, p = 0.017), and olfactory discrimination (F 1,39 = 7.521, p = 0.009) tests. Phosphorylation of tau at S262 (t 3 = -4.834) and S356 (t 3 = -3.258) in the locus coeruleus was parallelled by GSK-3β activation in the hippocampus (F 1,24 = 10.530, p = 0.003). …”
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Association between triglyceride-glucose (TyG) related indices and cardiovascular diseases and mortality among individuals with metabolic dysfunction-associated steatotic liver dis... by Yanan Qiao, Yue Wang, Cheng Chen, Yueqing Huang, Chunhua Zhao

“…Additionally, Harrell’s C-index, net reclassification index (NRI), and integrated discrimination improvement index (IDI) were used to assess the predictive performance of these indices. …”
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Blood-based DNA methylation markers for lung cancer prediction by Marc Chadeau-Hyam, Paolo Vineis, Caroline Relton, Mattias Johansson, Gianluca Severi, Roger L Milne, Melissa C Southey, Pierre-Antoine Dugué, Florence Guida, Mikael Johansson, Torkjel Sandanger, Justina Ucheojor Onwuka, Ryan Langdon, Therese Haugdahl Nøst, Hilary A. Robbins, Matthew Suderman

“…Incorporating the methylation score with the PLCOm2012 model did not improve the risk discrimination (AUC: 0.73, 95% CI: 0.68 to 0.77, Pdifference=0.73).Conclusions This study suggests that the methylation-based risk prediction score alone provides similar lung cancer risk-discriminatory performance as the questionnaire-based PLCOm2012 risk model.…”
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The prognostic significance of malnutrition in older adult patients with acute ischemic stroke by Tian-Tian Jiang, Xing-Yu Zhu, Yan-Wei Yin, Hong-Jin Liu, Guang-Yun Zhang

“…The incremental value of five nutritional assessment tools in predicting patient prognosis was compared by means of the Integrated Discriminant Improvement Index (IDI) and the Net Reclassification Index (NRI). …”
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