Effectiveness and quality of mobile applications for pregnancy monitoring: A systematic review by restu pangestuti, Adi Heru Sutomo, Prima Dhewi Ratrikaningtyas

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Incidence rate and clinical characteristics of seasonal affective disorders in senior medical students by I. I. Ukraintsev, E. D. Schastnyy, N. A. Bokhan

“…To study the incidence rate, clinical features, and prognosis of seasonal affective disorder (SAD) in senior (6th-year) medical students.Materials and methods. …”
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Comprehensive Quantitative Analysis of Coal-Based Liquids by Mask R-CNN-Assisted Two-Dimensional Gas Chromatography by Huan-Huan Fan, Xiang-Ling Wang, Jie Feng, Wen-Ying Li

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METHOD OF SURGICAL GUIDE MANUFACTURING FOR DENTAL IMPLANTATION by І.V. Pavlish, V.М. Dvornik, N.О. Riabushko

“… • Lead through of computed tomography with scan- pattern. • Installation of guiding shells in-to the template. …”
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Predicting determinants of unimproved water supply in Ethiopia using machine learning analysis of EDHS-2019 data by Jember Azanaw, Mihret Melese, Eshetu Abera Worede

“…To examine the significance of features in tree-based models, permutation importance and SHAP values were utilized. …”
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Masked and Noise-Masked Multimodal Brain Tumor Image Segmentation Using SegFormer and Shared Encoder Framework by K. Hemalatha, P. R. Vishnu Vardhan, Alfred Dharmaraj Aravindraj, S. Hari Hara Sudhan

“…MNMS employs masking to overcome computational complexity while maintaining local and global features essential for accurate medical image segmentation. …”
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Physics-based modeling and mechanism of polycrystalline diamond tool wear in milling of 70 vol% Si/Al composite by Lianjia Xin, Guolong Zhao, Zhiwen Nian, Haotian Yang, Liang Li, Ning He

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Attention-Driven Emotion Recognition in EEG: A Transformer-Based Approach With Cross-Dataset Fine-Tuning by Ghulam Ghous, Shaheryar Najam, Mohammed Alshehri, Abdulmonem Alshahrani, Yahya AlQahtani, Ahmad Jalal, Hui Liu

“…A transformer encoder with integrated spectral and temporal attention mechanisms captures intricate patterns and long-range dependencies within the EEG signals. …”
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Dynamics of HBsAb persistence and associated BCR IgG-H CDR3 repertoire features in ultra-high versus extremely low responders to HBV vaccination by Ting-Wen Yang, Ting-Wen Yang, Li-Na Sun, Ting Zhang, Yu-Rong Pan, Jun Li, Yang-Yang Li, Zhi-Yong Han, Wan-Bang Sun, Xin-Sheng Yao, Xiao-Yan He

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Optimizing Speech Emotion Recognition with Hilbert Curve and convolutional neural network by Zijun Yang, Shi Zhou, Lifeng Zhang, Seiichi Serikawa

“…Traditional one-dimensional time series classification falls short in expressing intricate emotional patterns present in speech signals, posing challenges in accuracy and robustness. …”
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The emerging functions and clinical implications of circRNAs in acute myeloid leukaemia by Shuiqing Liu, Xingyu Wan, Yang Gou, Wuchen Yang, Wei Xu, Yuxuan Du, Xiangui Peng, Xiaoqi Wang, Xi Zhang

“…Circular RNAs (circRNAs) constitute a unique class of single-stranded RNAs featuring covalently closed loop structures that are ubiquitous across species. …”
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Dual pH- and Temperature-Responsive Performance and Cytotoxicity of N-Isopropylacrylamide and Acrylic Acid Functionalized Bimodal Mesoporous Silicas with Core–Shell Structure and F... by Huijie Ge, Xiaoli Wang, Shiyang Bai, Yuhua Bi, Fei Liu, Jihong Sun, Wenliang Fu, Donggang Xu

“…The effects of the PAN-coated thicknesses on their physicochemical properties and structural features were demonstrated via XRD and SAXS patterns, SEM and TEM images, FT-IR spectra, and TG analysis. …”
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Human intracardiac SSEA4+CD34- cells show features of cycling, immature cardiomyocytes and are distinct from Side Population and C-kit+CD45- cells. by Mikael Sandstedt, Kristina Vukusic, Benjamin Ulfenborg, Marianne Jonsson, Lillemor Mattsson Hultén, Göran Dellgren, Anders Jeppsson, Jane Synnergren, Joakim Sandstedt

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Drug History and SLE Laboratory Findings Among Iraqi Patients: A Hospital‐Based Study by Hashim Talib Hashim, Ahmed Dheyaa Al‐Obaidi, Mustafa Najah Al‐Obaidi, Hossam Tharwat Ali, Idris Sula, Hozifa Alfaki, Abdelrahim Elamin, Alaa Hamza Hermis, Assalah Othman, Ahmed Qasim Mohammed Alhatemi

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Deciphering the complex links between inflammatory bowel diseases and NAFLD through advanced statistical and machine learning analysis by Deepak Kumar, Brijesh Bakariya, Chaman Verma, Zoltán Illés

“…There is an urgent need for non-invasive methods to diagnose various stages of liver dysfunction and uncover hidden pattern based on individual disease characteristics. …”
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Comparison of Worst Pattern of Invasion with Other Histopathological Prognostic Indicators in Oral Cavity Squamous Cell Carcinoma: A Cohort Study from Regional Cancer Centre, Thiru... by KR Anila, MS Bhuvitha, Shaji Thomas, Cessal T Kainickal, Aleyamma Mathew

“…Results: Most common pattern of invasion was WPOI 4, comprising 61 patients. …”
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Incremental Adversarial Learning for Polymorphic Attack Detection by Ulya Sabeel, Shahram Shah Heydari, Khalil El-Khatib, Khalid Elgazzar

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A Hybrid Deep Transfer Learning-based Approach for COVID-19 Classification in Chest X-ray Images by Khosro Rezaee, Afsoon Badiei, Hossein Ghayoumi Zadeh, Saeed Meshgini

“…In this paper, we presented an approach to diagnosis COVID-19 using CXR images based on the concatenated features vector of the three DTL structures and soft-voting feature selection procedure, including Receiver of Curve (ROC), Entropy, and signal-to-noise ratio (SNR) techniques. …”
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Attention-driven hybrid deep learning and SVM model for early Alzheimer’s diagnosis using neuroimaging fusion by Arjun Kidavunil Paduvilan, Godlin Atlas Lawrence Livingston, Sampath Kumar Kuppuchamy, Rajesh Kumar Dhanaraj, Muthuvel Subramanian, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

“…This hybrid design leverages deep representations for pattern recognition and SVM’s robustness on small sample sets. …”
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A machine learning approach to identifying key predictors of Peruvian school principals' job satisfaction by Luis Alberto Holgado-Apaza, Dany Dorian Isuiza-Perez, Nelly Jacqueline Ulloa-Gallardo, Yban Vilchez-Navarro, Ruth Nataly Aragon-Navarrete, Wilian Quispe Layme, Marleny Quispe-Layme, Danger David Castellon-Apaza, Remo Choquejahua-Acero, Jaime Cesar Prieto-Luna

“…This study identified key predictors of job satisfaction among Peruvian school principals by applying an ensemble of feature selection methods and evaluating five machine learning algorithms (Random Forest, Decision Trees-CART, Histogram-Based Gradient Boosting, XGBoost, and LightGBM) with data from the 2018 National Survey of Directors. …”
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