Association between relative fat mass and cognitive function among US older men: NHANES 2011–2014 by Linlin Liu, Anshi Wu, Shengnan Yang

“…Specifically, the Consortium to Establish a Registry for Alzheimer’s Disease Word Learning Test (CERAD-WL), the Animal Fluency Test (AFT), and the Digit Symbol Substitution Test (DSST) were used in order to achieve the objective of assessing cognitive function. …”
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Distributed Sparse Manifold-Constrained Optimization Algorithm in Linear Discriminant Analysis by Yuhao Zhang, Xiaoxiang Chen, Manlong Feng, Jingjing Liu

“…Linear discriminant analysis (LDA) is a supervised learning dimensionality reduction technique that has been widely used in data preprocessing for dimensionality reduction and video image processing tasks. …”
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Bioinformatics analysis for immune hub genes in BLIS subtype of triple-negative breast cancer by Hend Adel, Manal Abdel Wahed, Heba M. Afify

“…Conclusions Our findings provide a foundation for developing immune-targeted therapeutic approaches for BLIS-TNBC patients and provision the integration of machine learning models to predict treatment responses and optimize patient-specific strategies, potentially transforming the clinical management of this challenging breast cancer subtype.…”
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Competency-Based Approach in Teaching Сardiopulmonary Resuscitation by S. A. Perepelitsa

“…Most students in the control group had a threshold level of competence. The basic and advanced levels of competence were significantly higher among the students in the main group compared with the control group (P<0.05).Conclusion. …”
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Strategies and barriers to implementing physically active teaching in universities from the perspective of lecturers: a qualitative study by Robert Rupp, Birgit Wallmann-Sperlich, Jens Bucksch

“…All together, we identified 18 distinct teaching methods (e.g. group work, gallery walk) that integrate learning processes with physical activity in a pedagogical-didactic manner. …”
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SARS-CoV-2 severity prediction in young adults using artificial intelligence by K. V. Kas’janenko, K. V. Kozlov, K. V. Zhdanov, I. I. Lapikov, V. V. Belikov

“…Aim: to build a predictive model for severe COVID-19 prediction in young adults using deep learning methods.   Materials and methods: data from 906 medical records of patients aged 18 to 44 years with laboratory-confirmed SARS-CoV-2 infection during 2020–2021 period was analyzed. …”
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SCREENING OF HEARING DISORDER IN CHILDREN AGED 13-14 YEARS IN TEGAL by Ilma Mufidatul Aufa, Yanuar Iman Santosa, Dwi Marliyawati, Zulfikar Naftali

“…ABSTRACT   Background: Hearing loss is an impairment or inability of hearing, which is a threshold value of hearing more than 40 decibels (dB) in adults or more than 30 decibels (dB) in children. …”
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Classification of Toraja Wood Carving Motif Images Using Convolutional Neural Network (CNN) by Nurilmiyanti Wardhani, Billy Eden William Asrul, Antonius Riman Tampang, Sitti Zuhriyah, Abdul Latief Arda

“…This study is highly significant as it implements a deep learning model using the CNN algorithm optimized with the ResNet50 architecture. …”
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The Effect of Auditor’s Characteristics on the Future Stock Price Crash Risk by Faramarz Lotfi, Ali Akbar Ramezani, Seyedhossein Naslmousavi

“…Should the information asymmetry between managers and investors be high, negative news about the firms would not transfer to the capital market on time, so when negative information holding passes the threshold, it will spread rapidly in the market and causes a drop in the stock price. …”
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Association between admission Braden Skin Score and delirium in surgical intensive care patients: an analysis of the MIMIC-IV database by Meiling Shang, Meiling Shang, Ailing Shang, Yu Xu, Yu Xu

“…Based on RCS curves, the optimal threshold for BSS was established at 16, thereby categorizing participants into two groups: those with BSS < 16 and those with BSS ≥ 16. …”
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Feasibility and tolerability of physiologic monitoring among pregnant nurses and nursing teams by Isha Agarwal, Madeleine Puissant, Irit Altman, Alexandra Hinton, Tania D. Strout, Erika L. Sabbath

“…Conclusions While physiologic monitoring of pregnant workers is important for learning about how work might impact pregnancy outcomes, equipment challenges pose a significant barrier to study participation. …”
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The Improved-EFI Score: A Multi-Omics-Based Novel Efficacy Predictive Tool for Predicting the Natural Fertility of Endometriosis Patients by He Q, Zhang C, Hu Y, Deng J, Zhang S

“…Additionally, the nomogram exhibited better discrimination ability and achieved an overall better benefit against threshold probability than the EFI model and decision tree in the decision curve analysis (DCA).Conclusion: The combined ultrasound radiomics–urine proteomics model was better able to predict natural pregnancy-associated patients with EM compared to the classical EFI score. …”
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Vitamin C intake and cognitive function in older U.S. adults: nonlinear dose–response associations and effect modification by smoking status by Xingchen He, Yijia Lin, Xinyi Wu, Min Li, Tianyu Zhong, Yanhong Zhang, Yanhong Zhang, Xuliang Weng, Xuliang Weng

“…Cognitive function was evaluated using the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) Word Learning Test, Animal Fluency Test (AFT), and Digit Symbol Substitution Test (DSST). …”
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PBertKla: a protein large language model for predicting human lysine lactylation sites by Hongyan Lai, Diyu Luo, Mi Yang, Tao Zhu, Huan Yang, Xinwei Luo, Yijie Wei, Sijia Xie, Feitong Hong, Kunxian Shu, Fuying Dao, Hui Ding

“…Results Here, we proposed a novel human Kla site predictor (named PBertKla) through curating a reliable benchmark dataset with proper sample length and sequence identity threshold to train a protein large language model with optimal hyperparameters. …”
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Exploring voluntary sector specialist services for victim-survivors of sexual violence in England: the PROSPER co-production study by Caroline Bradbury-Jones, Sarah Damery, Kirsten Fruin, Clare Gunby, Jenny Harlock, Lucy Hebberts, Louise Isham, Anne-Marie Jones, Fay Maxted, Amelia Mighty, Priti Parmar, Laura Patterson, Jason Schaub, Fee Scott, Harriet Smailes, Debs Smith, Julie Taylor

“…Recruitment to the case study phase did not reach intended thresholds, but rich insights were drawn from earlier phases of the study. …”
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Dynamics of Nocturnal Evapotranspiration in a Dry Region of the Chinese Loess Plateau: A Multi-Timescale Analysis by Fengnian Guo, Dengfeng Liu, Shuhong Mo, Qiang Li, Fubo Zhao, Mingliang Li, Fiaz Hussain

“…Daytime and nocturnal evapotranspiration were partitioned using the photosynthetically active radiation threshold to reveal the changing characteristics of <i>ETN</i> at multiple time scales and its control variables. …”
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Remaining Available Energy Prediction for Energy Storage Batteries Based on Interpretable Generalized Additive Neural Network by Ji Qi, Pengrui Li, Yifan Dong, Zhicheng Fu, Zhanguo Wang, Yong Yi, Jie Tian

“…First, considering the variability in battery operating conditions, the study designs a battery working voltage threshold that accounts for safety margins and proposes an available energy state assessment metric, which enhances prediction consistency under different discharge conditions. …”
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Impact of different genomic relationship matrix construction methods on the accuracy of genomic prediction in different species by Shiyi Wang, Yingjia Wei, Dengying Liu, Xiangzhe Zhang, Qishan Wang, Yuchun Pan, Peipei Ma

“…Conversely, most scaled G-matrices showed minimal effects on mice, wheat, and bull, even with underperforming unscaled baselines in prediction accuracy compared to the original unscaled matrix. The learning curve for bull data showed the choice of G-matrix had minimal impact on prediction accuracy when the reference population size and genetic marker density reached a certain threshold.DiscussionThe study concluded that the optimal G-matrix construction method varies across species, with population structure being a key factor. …”
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Dynamic Dwell Time Adjustment in Wire Arc-Directed Energy Deposition: A Thermal Feedback Control Approach by Md Munim Rayhan, Abderrachid Hamrani, Fuad Hasan, Tyler Dolmetsch, Arvind Agarwal, Dwayne McDaniel

“…The system implements a dual-mode cooling strategy based on a temperature threshold, utilizing optical character recognition-based temperature monitoring and a rolling buffer system for stability. …”
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No more laborious stem counting: AI-powered computer vision enables identification and quantification of solid and hollow alfalfa stems at the pixel level by Brandon J. Weihs, Zhou Tang, Somshubhra Roy, Zezhong Tian, Deborah Jo Heuschele, Zhiwu Zhang, Cranos Williams, Zhou Zhang, Garett Heineck, Swayamjit Saha, Zhanyou Xu

“…Computer vision and machine learning present a promising solution for objectively assessing stem morphology. …”
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