MLRec: A Machine Learning-Based Recommendation System for High School Students Context of Bangladesh by Momotaz Begum, Mehedi Hasan Shuvo, Jia Uddin

“…We also used Explainable AI (LIME and SHAP) techniques to visualize the root causes of social networks’ effects on students’ school performance. …”
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Identifying and validating immunological biomarkers in obstructive sleep apnea through bioinformatics analysis by En-hui Zhou, Tian-jiao Zhou, Xiao-ting Wang, Jing-yu Zhang, Jian Guan, Shan-kai Yin, Wei-jun Huang, Hong-liang Yi, Jian-yin Zou

“…Abstract Obstructive sleep apnea (OSA) is a prevalent sleep disorder characterized by disrupted breathing patterns and dysfunctions in multiple organ systems. …”
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Metabolome Profiling and Predictive Modeling of Dark Green Leaf Trait in Bunching Onion Varieties by Tetsuya Nakajima, Mari Kobayashi, Masato Fuji, Kouei Fujii, Mostafa Abdelrahman, Yasumasa Matsuoka, Jun’ichi Mano, Muneo Sato, Masami Yokota Hirai, Naoki Yamauchi, Masayoshi Shigyo

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Magnetic Resonance Imaging in the Diagnosis of Aortic Wall Elastic Properties Disorders and Its Hemodynamics by K. R. Bril, A. A. Pronkin, T. N. Galyan, V. V. Khovrin

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Jaringan Pengelolaan Sampah Rumah Tangga sebagai Bentuk Transisi Ekonomi Sirkular di Kota Surabaya by Aida Fitri Larasati, Eko Budi Santoso

“…Through qualitative analysis in the form of social networks. The analysis visualizes the pattern of relations between actors and measures the centrality of each key actor. …”
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Off-tumor IDO1 target engagements determine the cancer-immune set point and predict the immunotherapeutic efficacy by Lulu Zhang, Yihai Cao, Lin Xie, Ming-Rong Zhang, Kuan Hu, Yanhong Duo, Takashi Shimokawa, Katsushi Kumata, Yiding Zhang, Cuiping Jiang, Nobuki Nengaki, Hidekatsu Wakizaka

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A mini-review of single-cell Hi-C embedding methods by Rui Ma, Jingong Huang, Tao Jiang, Wenxiu Ma

“…Embedding reduces the dimensionality of complex scHi-C contact maps, making it easier to extract biologically meaningful patterns. These methods not only enhance cell clustering based on chromatin structures but also facilitate visualization and other downstream analyses. …”
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The Influence of Physiological Blood Clot on Osteoblastic Cell Response to a Chitosan-Based 3D Scaffold—A Pilot Investigation by Natacha Malu Miranda da Costa, Hilary Ignes Palma Caetano, Larissa Miranda Aguiar, Ludovica Parisi, Benedetta Ghezzi, Lisa Elviri, Leonardo Raphael Zuardi, Paulo Tambasco de Oliveira, Daniela Bazan Palioto

“…Blood is the first component to come into contact with biomaterials, providing blood clot formation, being substantial in new tissue formation. Thus, this research investigated the physiological blood clot (PhC) patterns formed in 3D scaffolds (SCAs), based on chitosan and 20% beta-tricalcium phosphate and its effect on osteogenesis. …”
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ADHD detection from EEG signals using GCN based on multi-domain features by Ling Li, Xueyang Guo, Zihan Yang, Yanping Zhao, Xu Liu, Junxian Yang, Yanyan Chen, Xinxian Peng, Lina Han

“…Visualization experiments further revealed distinct brain connectivity distributions between ADHD patients and healthy controls.DiscussionThe fused functional connectivity matrix surpasses traditional single-metric approaches in characterizing brain interactions. …”
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Varied cellular abnormalities in thin vs. normal endometrium in recurrent implantation failure by single-cell transcriptomics by Xiaoying Fu, Xiaoyan Guo, Han Xu, Yini Li, Bihui Jin, Xirong Zhang, Chongyi Shu, Yuhang Fan, Yiqi Yu, Yuqing Tian, Jiao Tian, Jing Shu

“…Single-cell RNA sequencing (scRNA-seq) was utilized to capture comprehensive transcriptomic profiles at the single-cell level, providing insights into gene expression patterns within specific cell types. Scanning and transmission electron microscopy were employed to visualize ultrastructural details of the endometrial tissue, while hematoxylin and eosin staining facilitated the examination of tissue morphology and cellular composition. …”
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ADME gene-driven prognostic model for bladder cancer: a breakthrough in predicting survival and personalized treatment by Haojie Dai, Xi Zhang, You Zhao, Jun Nie, Zhenyu Hang, Xin Huang, Hongxiang Ma, Li Wang, Zihao Li, Ming Wu, Jun Fan, Ke Jiang, Weiping Luo, Chao Qin

“…Conclusion The risk assessment model formulated in our research stands as a formidable instrument for forecasting BLCA prognosis, while also providing insights into the disease's progression mechanisms and guiding clinical decision-making strategies.…”
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Variation in Mesopic Retinal Sensitivity Relative to Distance from Geographic Atrophy in Age-Related Macular Degeneration by Souvick Mukherjee, PhD, Emily Vance, MPH, Leon von der Emde, MD, Thilaka Arunachalam, BS, Tharindu De Silva, PhD, Alisa T. Thavikulwat, MD, Christine Orndahl, PhD, Caroline Nyaiburi, MS, Maria Abraham, ScM, Keri Hammel, MS, SriniVas R. Sadda, MD, Emily Y. Chew, MD, Maximilian Pfau, MD, PhD, Wai T. Wong, MD, PhD, Brett G. Jeffrey, PhD, Tiarnán D.L. Keenan, BM BCh, PhD

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Artificial intelligence in Anatomy: Potential uses and challenges by Lubna Faisal

“…It is widely opted not only at the industrial level but also in large numbers used for educational purposes and in research [1]. The subject of Anatomy is taught in the first two years of undergraduate and it is considered as a core component of medical curriculum. …”
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Explainable MRI-Based Ensemble Learnable Architecture for Alzheimer’s Disease Detection by Opeyemi Taiwo Adeniran, Blessing Ojeme, Temitope Ezekiel Ajibola, Ojonugwa Oluwafemi Ejiga Peter, Abiola Olayinka Ajala, Md Mahmudur Rahman, Fahmi Khalifa

“…The findings present a valuable contribution to the growing field of explainable artificial intelligence (XAI) in medical imaging, helping end users and researchers to gain deep understanding of the backstory behind medical image dataset and deep learning model’s decisions.…”
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Musical Expertise Reshapes Cross-Domain Semantic Integration: ERP Evidence from Language and Music Processing by Xing Wang, Tao Zeng

“…Participants read Chinese sentences presented word-by-word visually, while chord sequences were delivered auditorily, with each word temporally aligned to one chord. …”
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Assessment of relationship between chickpea genotypes from ICARDA with a western Iranian landrace (Bivanij) by farhad Nazarian Firouzabadi, Mahin Rahimi, Ahmad Ismaili

“…The gels were stained using ethidium bromide and visualized with UV light. The reproducibility of the DNA band patterns was evaluated duplicate gel electrophoresis analysis. …”
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A Machine Learning Approach Using Topic Modeling to Identify and Assess Experiences of Patients With Colorectal Cancer: Explorative Study by Kelly Voigt, Yingtao Sun, Ayush Patandin, Johanna Hendriks, Richard Hendrik Goossens, Cornelis Verhoef, Olga Husson, Dirk Grünhagen, Jiwon Jung

“…Topic modeling, as a part of machine learning, was used to recognize the topic patterns in the posts. Researchers read the most relevant 50 posts on each topic, dividing them into “home” or “hospital” contexts. …”
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A Systematic Review on the Use of Big Data in Tourism by Jafar Ahangaran, Abbas Sadeghnia

“…Articles were assessed based on various factors, including research topic, conceptual and theoretical descriptions, data sources, data types and sizes, data collection methods, data analysis techniques, and reporting and visualization methods. …”
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Intraoperative assessment of myocardial perfusion using near-infrared fluorescence and indocyanine green: A literature reviewCentral MessagePerspective by Roderick C. Peul, Rohit K. Kharbanda, MD, Stefan Koning, MD, Mo W. Kruiswijk, Floris P. Tange, Pim van den Hoven, MD, PhD, Alexander L. Vahrmeijer, MD, PhD, Robert J.M. Klautz, MD, PhD, Jaap F. Hamming, MD, PhD, Jesper Hjortnaes, MD, PhD, Joost R. van der Vorst, MD, PhD

“…Conclusions: This literature review highlights that NIRF imaging has been broadly researched qualitatively, showing promise for guiding CABG surgery through visualization of graft flow. …”
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Distinct immunity dynamics of natural killer cells in mild and moderate COVID-19 cases during the Omicron variant phase by Yukari Nishikawa, Kosuke Yamaguchi, Ma’arif Athok Shofiudin, Momone Mimura, Miyako Takata, Shu Mihara, Takeru Kawakami, Ayumu Doi, Risa Matsuda, Hiroyuki Kato, Ryo Okamoto, Kengo Mukuda, Naoki Kinoshita, Kensaku Okada, Tsuyoshi Kitaura, Masaki Nakamoto, Hisashi Noma, Yusuke Endo, Akira Yamasaki, Hiroki Chikumi

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