The influence of healthcare workers' social support on compliance to medication in multi drug resistant tuberculosis patients at the Regional General Hospital of Dr. Saiful Anwar by Fauzan Adima, Merita Arini

“…Introduction: Tuberculosis (TB) remains a significant public health issue that poses a worldwide challenge. Indonesia has the second highest incidence of tuberculosis (TB) globally, following India. …”
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Psycholinguistic Characteristics of the Discourse with a «Colour Black» Component (based on E.M. Remarque’s works) by Halyna I. Kapnina

“…Modern Linguistics has significant achievements in research of this issue, however, some of its aspects, in particular, psycholinguistic characteristics of the discourse with a colour element, still remain relevant and poorly researched. …”
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Predicting pregnancy loss and its determinants among reproductive-aged women using supervised machine learning algorithms in Sub-Saharan Africa by Tirualem Zeleke Yehuala, Sara Beyene Mengesha, Nebebe Demis Baykemagn

“…BackgroundPregnancy loss is a significant public health issue globally, particularly in Sub-Saharan Africa (SSA), where maternal health outcomes continue to be a major concern. …”
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Dental utilization and expenditures by children and adolescents with autism spectrum disorders: A population-based cohort study by Kai-Chun Chang, Ling-Yi Wang, Jen-Hung Wang, Cheng-Kuang Shaw, Ming-Jay Hwang, Chih-Hao Wu, Huai-Kuan Huang

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Interobserver variation is a significant limitation in the diagnosis of Burkitt lymphoma by Swapnil Ulhas Rane, Tanuja Shet, Epari Sridhar, Sanica Bhele, Vaishali Gaikwad, Shubhangi Agale, Sweety Shinde, Daksha Prabhat, Gwendolyn Fernandes, Meenal Hastak, Chandralekha Tampi, Swati Narurkar, Keyuri Patel, Chitra Madiwale, Ketki Shah, Laxmi Shah, Satyakam Sawaimoon, Purnima Lad

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Intellectual code analysis in automation grading by Denys Seliutin, Elena Yashyna

“…The methods used are: tree classification code analysis and graph traversing methods adopted for the tree linearization goal. …”
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The association of donor and recipient sex on sepsis rates and hemoglobin increment among critically ill patients receiving red cell transfusions in a retrospective study by Wenhui Li, Yang Liu, Kayla J. Lucier, Nancy M. Heddle, Jason P. Acker

“…Hb increments were determined by comparing the last Hb result in the 24‐h period prior to RBC unit issue and the first Hb result within 4–24 h after RBC unit issued for transfusion. …”
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Western and non-western research traditions of studying the Taiwanese question by E. A. Pronin, D. A. Safronov, V. V. Tarasenko

“…The study focuses on exploring Western and non-Western research traditions in the study of the Taiwanese issue in contemporary political science. The paper examines the approaches and methods of analyzing international relations surrounding Taiwan and provides a classification of approaches based on the methods and tools utilized. …”
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Luci e ombre nella riforma del lavoro sportivo by Giulio Centamore, Tommaso Costantini

“…Then, the article proceeds by addressing the issue of classification between subordination and self-employment. …”
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Predictive Modeling for Fetal Health: A Comparative Study of PCA, LDA, and KPCA for Dimensionality Reduction by Ariana Deyaneira Jimenez-Narvaez, Victor David Casa Vaca, Jonathan Javier Loor-Duque, Isidro Rafael Amaro Martin, Ivan Galo Reyes-Chacon, Paulina Vizcaino, Manuel Eugenio Morocho-Cayamcela

“…This study addresses this issue by applying dimensionality reduction techniques—Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), and Kernel Principal Component Analysis (KPCA)—to improve the performance of machine learning (ML) models in predicting fetal health using CTG data. …”
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Outlier Detection of Photovoltaic Power Generation System Data Based on GMM-IF Algorithm by Xin Li, Guoxin Du, Yuman Li, Zengqiang Ma, Lihu Liu, Minglong Jiang, Feiyu Liu, Tianming Mu

“…The Gaussian Mixture Model (GMM) is widely used in anomaly detection due to its flexibility in handling complex data distributions and its soft classification mechanism. However, its modeling process relies on the assumption that data follows a Gaussian distribution. …”
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Quantifying the severity of Marssonina blotch on apple leaves: development and validation of a novel spectral index by Wenjie Zhang, Chengjian Zhang, Riqiang Chen, Bo Xu, Hao Yang, Haikuan Feng, Dan Zhao, Baoguo Wu, Chunjiang Zhao, Guijun Yang

“…At the canopy scale, AMBI enabled effective classification of healthy and diseased trees, yielding an overall accuracy (OA) of 89.09% and a Kappa coefficient of 0.78. …”
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Machine Learning- and Deep Learning-Based Multi-Model System for Hate Speech Detection on Facebook by Amna Naseeb, Muhammad Zain, Nisar Hussain, Amna Qasim, Fiaz Ahmad, Grigori Sidorov, Alexander Gelbukh

“…Recently, the spread of hate speech on social media sites like Facebook has added a new layer of complexity to the issue of online safety and content moderation. This study seeks to minimize this problem by developing an Arabic script-based tool for automatically detecting hate speech in Roman Urdu, an informal script used most commonly for South Asian digital communications. …”
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Discrepancy in Metabolic Dysfunction–Associated Steatotic Liver Disease Prevalence in a Large Northern California Cohort by Luis A. Rodriguez, Lue-Yen S. Tucker, Varun Saxena, Theodore R. Levin

“…These results underscore an underdiagnosis issue and highlight the need for improved diagnostic practices.…”
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Advanced AI techniques for classifying Alzheimer’s disease and mild cognitive impairment by Sophie Tascedda, Sophie Tascedda, Sophie Tascedda, Pierfrancesco Sarti, Pierfrancesco Sarti, Veronica Rivi, Claudia Savia Guerrera, Giuseppe Alessio Platania, Mario Santagati, Filippo Caraci, Filippo Caraci, Johanna M. C. Blom, Johanna M. C. Blom

“…MLPs and GATs are used to analyse discrete data points for tasks such as classification and regression. Each model was evaluated on accuracy, precision, and recall.ResultsThe AI models provide an objective basis for comparing patient data with reference populations. …”
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Integrating Sentiment Analysis With Machine Learning for Cyberbullying Detection on Social Media by Maram Fahaad Almufareh, Noor Zaman Jhanjhi, Mamoona Humayun, Ghadah Naif Alwakid, Danish Javed, Saleh Naif Almuayqil

“…A viable approach to addressing this pervasive issue lies in the accurate identification of cyberbullying within social media as it constitutes a substantial portion of digital interactions. …”
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Application of Semi-Supervised Clustering with Membership Information and Deep Learning in Landslide Susceptibility Assessment by Hua Xia, Zili Qin, Yuanxin Tong, Yintian Li, Rui Zhang, Hongxia Luo

“…The results demonstrate that the LSI-SFCM effectively enhances the representativeness and diversity of negative samples, improving the predictive performance and classification reliability. Deep learning models using LSI-SFCM performed with superior predictive capability. …”
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Transforming machine learning model knowledge into material insights for multi-principal-element superalloy phase design by Qiuling Tao, Xintong Yang, Longke Bao, Yuexin Zhou, Tao Yang, Yilu Zhao, Rongpei Shi, Zhifu Yao, Xingjun Liu

“…Here, we propose a method to avoid this issue by transforming the knowledge learned from ML models into material rules to obtain a generic design strategy. …”
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Utilization of a Joint Point Regression Model for Predicting Mortality Rates of Common Cancers in Babol City by Pouyan Ebrahimi, Sara Khaleghi, Mohebat Vali, Sahar Delavari, Soraya Khafri, Mohsen Karami, Layla Shojaie, Hossein‐Ali Nikbakht

“…Conclusion Cancer mortality in Babol remains a significant public health issue with an increasing trend. Nevertheless, these rising mortality rates require urgent interventions, including cancer prevention programs, increased access to medical services, and improved quality of life.…”
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A Comprehensive Review on Limitations of Autonomous Driving and Its Impact on Accidents and Collisions by Amit Chougule, Vinay Chamola, Aishwarya Sam, Fei Richard Yu, Biplab Sikdar

“…It delves into prevalent limitations faced by self-driving cars, encompassing issues like adverse weather conditions, susceptibility to hacking, data security concerns, technological efficacy, testing and validation intricacies, information handling, and connectivity glitches. …”
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