Early Childhood Anemia in Ghana: Prevalence and Predictors Using Machine Learning Techniques by Maryam Siddiqa, Gulzar Shah, Mahnoor Shahid Butt, Asifa Kamal, Samuel T. Opoku

“…We used discrimination and calibration parameters to evaluate the performance of each machine learning algorithm. <b>Results</b>: Key predictors of childhood anemia are the father’s education, socioeconomic status, iron intake during pregnancy, the mother’s education, and the baby’s postnatal checkup within two months. …”
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Stroke in children and adolescents: topical problems of pre-hospital diagnostics by Y. A. Khachaturov, I. O. Shchederkina, N. F. Plavunov, A. M. Sidorov, E. E. Petryaykina, I. P. Vytkovskaya, V. A. Kadyshev

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The Spatio-Temporal Equalization Sliding-Window Distribution Distance Maximization Based on Unsupervised Learning for Online Event-Related Potential-Based Brain–Computer Interfaces... by Haoye Wang, Jing Jin, Xinjie He, Shurui Li, Andrzej Cichocki

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Track Classification and Characteristics Analysis of Northeast China Cold Vortex During the Warm Season by Jin Tong, Yueming Yu, Qiuping Wang, Xulin Ma, Zhaorong Zhuang

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Machine learning approach for Studying the multifunctionality of soil against global climate changes by Xiangng Hu, Yingying Xie, Qixing Zhou, Li Mu

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Optimizing Automatic Voltage Control Collaborative Responses in Chain-Structured Cascade Hydroelectric Power Plants Using Sensitivity Analysis by Li Zhang, Jie Yang, Jun Wang, Lening Wang, Haiming Niu, Xiaobing Liu, Simon X. Yang, Kun Yang

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ATA ENCRYPTION USING THE CHAOTIC DYNAMICS IN WIRELESS SENSOR NETWORKS by A. V. Sidorenko, K. S. Mulyarchik

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Construction and optimization of a smart classroom system for emotional computing by HUANG Lijuan, CHENG Zhengyi, YANG Ziyan

“…In the context of the deep integration of new generation information technology and smart education, the research and application of smart classroom systems have received widespread attention. …”
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On novel security systems based on the 2-cyclic refined integers and the foundations of 2-cyclic refined number theory by Mohammad Abobala, Hasan Sankari, Mohamed Zeina

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Progressive First-Failure Censoring in Reliability Analysis: Inference for a New Weibull–Pareto Distribution by Rashad M. EL-Sagheer, Mahmoud M. Ramadan

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The ethics of AI at the intersection of transgender identity and neurodivergence by Max Parks

“…Drawing on evidence that transgender individuals exhibit higher rates of neurodivergence (Pasterski et al. in Arch Sex Behav 43:387–393, 2014) and on the historical pathologization of both identities (Conrad and Schneider in Deviance and medicalization: from badness to sickness, Temple University Press, Philadelphia, 1992), I focus on two domains, healthcare and language processing, to illustrate how choices in data collection, model training, and algorithm design can perpetuate harmful biases. …”
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Application research of 3D virtual interactive technology in interactive teaching of arts and crafts by Mingqi Yao

“…In the virtual reality teaching of arts and crafts, the uploaded image data often contains a lot of noise, which significantly reduces the quality of uploaded images and seriously affects the teaching effect of interactive teaching of arts and crafts based on virtual reality. …”
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What does Bayesian probit regression tell us about Turkish female- and male-headed households poverty? by Ebru Çağlayan-Akay, Gülşah Sedefoğlu

“…Bayesian probit regression is applied using a Markov Chain algorithm, Gibbs sampler. The results of the study show that the most effective variables, which cause a decrease of the probability of living under poverty line, are education level of bachelor for 4 years, master and PhD for female-headed households and household type of being single adult for male-headed households in urban area, working full time for male- and female-headed households in rural area. …”
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Examination of Teacher Candidates’ Intercultural Sensitivity Levels by CART Analysis by Nesrin Hark Söylemez

“…To predict intercultural sensitivity, five machine learning algorithms were utilized, with the Naive Bayes algorithm achieving the highest accuracy at 69.0%. …”
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Graph Knowledge Structure for Attentional Knowledge Tracing With Self-Supervised Learning by Zhaohui Liu, Sainan Liu, Weifeng Gu

“…In addition, we incorporate the improved representation algorithm into the loss function to handle data sparsity, thereby improving prediction accuracy. …”
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Cost-Reference Particle Filter-Based Method for Constructing Effective Brain Networks: Application in Optically Pumped Magnetometer Magnetoencephalography by Yuyu Ma, Xiaoyu Liang, Huanqi Wu, Hao Lu, Yong Li, Changzeng Liu, Yang Gao, Min Xiang, Dexin Yu, Xiaolin Ning

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opportunity identification framework based on Topic Modeling and Sentiment Analysis for muslim-friendly hotels using textual reviews by Yun Prihantina Mulyani, Hilya Mudrika Arini, Vira Laksita Dewi, Rokhima Rostiani, Tri Mulyani Sunarharum, Wira Dranata Harefa, Lucía Rivadeneira

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Transcriptome signature for multiple biotic and abiotic stress in barley (Hordeum vulgare L.) identifies using machine learning approach by Bahman Panahi

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Automatic generation of high-quality building samples using OpenStreetMap and deep learning by Ming Zhao, Chenxiao Zhang, Zhen Gu, Zhipeng Cao, Chuanwei Cai, Zhaoyan Wu, Lianlian He

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An Adaptation of Nonlinear Aerodynamic Models for Non-Traditional Control Effectors by Christian R. Bolander, Douglas F. Hunsaker

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