RELEVANCE OF THE STUDY OF MAGNESIUM DEFICIENCY IN YOUNG WOMEN OF REPRODUCTIVE AGE (LITERATURE REVIEW) by I. S. Vyatkina

“…The review gives the literature data on the issue of magnesium deficiency. A classification and causes of magnesium. deficiency are discussed. …”
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Comparative Analysis of Fine-Tuning I3D and SlowFast Networks for Action Recognition in Surveillance Videos by T. Gopalakrishnan, Naynika Wason, Raguru Jaya Krishna, Vamshi Krishna B, N. Krishnaraj

“…Human Action Recognition is considered to be a critical problem and it is always a challenging issue in computer vision applications, especially video surveillance applications. …”
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Curvature-Based Change Detection in Road Segmentation: Ascending Hierarchical Clustering vs. K-Means by David Jaurès Fotsa-Mbogne, Addie Bernice Nguensie-Wakponou, Jean Michel Nlong, Marcellin Atemkeng, Maurice Tchuente

“…Given the high frequency of data collection by accelerometers, the resulting large datasets pose a computational challenge for anomaly detection using supervised classification algorithms. To mitigate scalability issues, it is beneficial to first group the data into homogeneous continuous sections. …”
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Primary peritonitis at children by K. K. Fyodorov

“…The bibliographic reference-book includes 123 sources issued mainly for the last 15 years.…”
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Explainable Supervised Learning Models for Aviation Predictions in Australia by Aziida Nanyonga, Hassan Wasswa, Keith Joiner, Ugur Turhan, Graham Wild

“…To address the issue of class imbalance in the Australian Transport Safety Bureau (ATSB) dataset, a Variational Autoencoder (VAE) is also employed for data augmentation. …”
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Classifiability Analysis of Spectroscopic Profiling Datasets in Food Safety-related Discriminative Tasks by Yinsheng Zhang, Xudong Yang, Zhengyong Zhang, Haiyan Wang

“…In recent years, spectroscopic profiling combined with machine learning is becoming popular for food-related discriminative tasks, but finding an appropriate classification model can be challenging. Compared to the current “trial-and-error” practice, this paper proposes a dedicated two-step classifiability analysis framework to address this issue. …”
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A hybrid approach of vision transformers and CNNs for detection of ulcerative colitis by Syed Abdullah Shah, Imran Taj, Syed Muhammad Usman, Syed Nehal Hassan Shah, Ali Shariq Imran, Shehzad Khalid

“…Researchers have proposed variety of machine/deep learning methods for automated detection of ulcerative colitis, however, several challenges exists including class imbalance problem, comprehensive feature extraction and accurate classification. We propose a novel method for accurate detection of ulcerative colitis with augmentation techniques to overcome class imbalance issue, a comprehensive feature vector extraction using custom architecture of Vision Transformer (ViT) and accurate classification using customized Convolutional Neural Network (CNN). …”
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‘Aṣabiyya and Its Effect on Testimony in al-Māwardī’s Thought by Yusuf Eşit

“…Al-Māwardī’s classification of ʿaṣabiyya clearly demonstrates how something is evaluated and ruled upon differently based on its moral, psychological, and social effects. …”
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An Efficient Categorization of Diabetes Imbalanced Data Using SMOTE-ENN With Fine-Tuned LS-SVM Algorithm by Nwayyin Mohammed, Mariwan Hama Saeed

“…The classification of imbalanced datasets is a crucial field in machine learning. …”
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Intracranial stenosis prediction using a small set of risk factors in the Tromsø Study by Luca Bernecker, Liv-Hege Johnsen, Torgil Riise Vangberg

“…We achieved similar performance on classification compared to modern detection algorithms for ICAS in TOF-MRA (time-of-flight magnetic resonance angiography). …”
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Efficiency Calculation and Analysis of Green Economy Based on Improved Fixed Effects Model by Kaige Liu, Ze Fu, Yuxi Chai

“…The discrepancy between global economic growth and environmental degradation has become increasingly pronounced, and the calculation of green economic efficiency has become a key issue. In response to the problem of traditional fixed effects models neglecting important heterogeneity factors in measuring green economic efficiency, this study proposes an improved fixed effects model combined with long short-term memory neural network classification algorithm. …”
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Forensic Cases in the Emergency Department: Associations Between Life-Threatening Risk, Medical Treatability, and Patient Outcomes by Harun Yildirim, Murtaza Kaya

“…Final forensic reports were more frequently issued in SMI cases, while preliminary reports were predominant in severe trauma. …”
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Discurso atribucional de estudiantes inculpados por deshonestidad académica en una universidad pública costarricense / Attribution discourse of students charged for academic dishon... by Jensy Campos Céspedes, Walter Solano Gutiérrez

“…For the analysis, we resorted to the theoretical approaches of Weiner (1986), specifically the classification of causal attributions. The results reveal that many students appeal to external factors to justify their actions classified as AD. 69% of the students included in the study attribute the cause of their behavior to issues associated with the institutional actions or other educational players. …”
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Real-Time, Risk-Based Clinical Trial Quality Management in China: Development of a Digital Monitoring Platform by Min Jiang, Shuhua Zhao, Yun Mei, Zhiying Fu, Yannan Yuan, Jie Ai, Yuan Sheng, Ying Gong, Jingjing Chen

“…Data from clinical trial QC reports generated during 2019 to 2023 in Beijing University Cancer Hospital, China, were used to train the automated classification tool, establish warning thresholds, and validate threshold values. …”
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Anorectal malformation and outcome review (ARMOUR) project: a systematic review for the outcomes reported in patients with an anorectal malformation by Layla Hassan, Shauna A M Cortenraad, Charlotte B M Rosenberg, Merel L Kimman, Michel Haanen, Wim G van Gemert, Ruben Gerardus Johannes Visschers

“…Background Being born with an anorectal malformation (ARM) often leads to lifelong issues with faecal and urinary function, as well as challenges in sexual, emotional and psychosocial development. …”
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Top 10 palliative care research priorities in France: a 3-step, mixed-methods protocol (AXEPRO study) by Stéphane Sanchez, Guillaume Economos, Fiona Ecarnot, Cecile Barbaret, Raphaëlle Habert-Dantigny, Héloïse Rouze, Doan Huynh, Roseline Huynh, Caroline Tête, Martin Julier-Costes, Valérie Amouroux-Gorsse, Isabelle Lavault, Justine Bret

“…In view of the limited funding available, PC research needs to prioritise major issues and raise its visibility.The second stage of the study is the first-round prioritisation using a fixed format questionnaire, which will last 4 months. …”
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New Hyperspectral Geometry Ratio Index for Monitoring Rice Blast Disease from Leaf Scale to Canopy Scale by Qiong Zheng, Yihao Chen, Qing Xia, Yunfei Zhang, Dan Li, Hao Jiang, Chongyang Wang, Longlong Zhao, Wenjiang Huang, Yingying Dong, Chuntao Wang

“…This study aimed to address these issues by developing the rice blast-specific hyperspectral Geometry Ratio Vegetation Index (GRVI_RB) for monitoring rice blast disease at the leaf and canopy scales. …”
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Editorial by Teddy Surya Gunawan

“…Environmental sustainability is a recurring theme in this issue. Researchers have tackled pressing global issues such as air pollution, water purification, and waste management with novel solutions. …”
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Machine learning applications in vascular neuroimaging for the diagnosis and prognosis of cognitive impairment and dementia: a systematic review and meta-analysis by Valerie Lohner, Amanpreet Badhwar, Flavie E. Detcheverry, Cindy L. García, Helena M. Gellersen, Zahra Khodakarami, René Lattmann, Rui Li, Audrey Low, Claudia Mazo, Amelie Metz, Olivier Parent, Veronica Phillips, Usman Saeed, Sean Y. W. Tan, Stefano Tamburin, David J. Llewellyn, Timothy Rittman, Sheena Waters, Jose Bernal

“…Serious methodological issues, including inconsistent reporting, limited generalisability testing, and other potential biases, are unfortunately common and hinder further adoption. …”
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Wearable Artificial Intelligence for Sleep Disorders: Scoping Review by Sarah Aziz, Amal A M Ali, Hania Aslam, Alaa A Abd-alrazaq, Rawan AlSaad, Mohannad Alajlani, Reham Ahmad, Laila Khalil, Arfan Ahmed, Javaid Sheikh

“… BackgroundWorldwide, 30%-45% of adults have sleep disorders, which are linked to major health issues such as diabetes and cardiovascular disease. …”
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