PHARMACODYNAMICS OF ORAL ANTICOAGULANTS IN PATIENTS WITH ATRIAL FIBRILLATION IN THE ACUTE PERIOD OF ISCHEMIC STROKE by V. I. Petrov, A. S. Gerasimenko, V. S. Gorbatenko, O. V. Shatalova

“…In this situation, a number of questions take rise: if it is possible to carry out thrombolytic therapy in the patients who have been taking anticoagulants; if it is worth resuming anticoagulant therapy after a stroke; when exactly this should be done; and what drugs should be used to prevent another stroke.The aim of this review was to summarize the available clinical guidelines and research results on the study of the anticoagu- lant therapy characteristics in patients with atrial fibrillation after an ischemic stroke.Materials and methods. For this review, the information presented in the scientific literature from open and available sourc- es, has been used. …”
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Analysis of the availability and affordability of pharmaceuticals for children in need of palliative care by D. M. Medvedeva, I. A. Narkevich, O. D. Nemyatykh

“…Objective: to analyze the availability and affordability of pharmaceuticals for children in need of palliative care.Materials and methods. The price, affordability and physical availability of pharmaceuticals for children in need of palliative care were analyzed in accordance with the Health Action International guidelines of the World Health Organization. …”
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The Use of Artificial Intelligence in Combating Financial Crimes and Money Laundering in International Trade A Data-Driven Analysis (2010–2024) by Balouz Mohamed

“…The primary objectives are to assess the development and effectiveness of AI-driven algorithms in detecting illicit transactions, analyze the role of machine learning in real-time monitoring and predictive analytics, and investigate regulatory and ethical challenges that constrain AI’s full potential in financial crime prevention. Employing a mixed-methods approach, the study integrates qualitative insights from case studies of major financial institutions and multinational corporations with quantitative analyses of AI adoption metrics, detection rates, and financial crime trends, drawing on data sourced from leading regulatory bodies such as the Financial Action Task Force, World Bank, and International Monetary Fund. …”
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A New Way to Identify Mastitis in Cows Using Artificial Intelligence by Rodes Angelo Batista da Silva, Héliton Pandorfi, Filipe Rolim Cordeiro, Rodrigo Gabriel Ferreira Soares, Victor Wanderley Costa de Medeiros, Gledson Luiz Pontes de Almeida, José Antonio Delfino Barbosa Filho, Gabriel Thales Barboza Marinho, Marcos Vinícius da Silva

“…Mastitis is a disease that is considered an obstacle in dairy farming. Some methods of diagnosing mastitis have been used effectively over the years, but with an associated relative cost that reduces the producer’s profit. …”
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Life Cycle Assessment of Municipal Solid Waste Management Strategies in Babolsar: Evaluating Environmental Impacts and Energy Consumption by Babak Sheydaei, Gholamreza Nabi, Fatemeh Yazdian

“…The implications of these findings extend to similar urban areas seeking to optimize their waste management practices for better environmental outcomes.…”
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Multi-Domain Feature Incorporation of Lightweight Convolutional Neural Networks and Handcrafted Features for Lung and Colon Cancer Diagnosis by Omneya Attallah

“…It also applies feature selection based on minimum redundancy maximum relevance to the integrated deep and handcrafted features, guaranteeing optimal computational efficiency and high diagnostic accuracy. …”
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Residual capsule network with threshold convolution and attention mechanism for forest fire detection using UAV imagery by Soufiane Ben Othman, Obaid Ali

“…Evaluated on a comprehensive UAV-sourced dataset of 14,140 images, ResCaps-TC-Attn-Fire achieves an impressive 99.78% accuracy, 99.7% precision, and 99.8% recall, surpassing existing methods like YOLOv3 (85.2%), ABi-LSTM (96.2%), and Enhanced YOLOv8n (99.0%). …”
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Machine learning and spatio-temporal analysis of meteorological factors on waterborne diseases in Bangladesh. by Arman Hossain Chowdhury, Md Siddikur Rahman

“…Therefore, this study aimed to fill this gap by investigating the spatio-temporal pattern and identifying the best tree-based ML models for determining the meteorological factors associated with waterborne diseases in Bangladesh.<h4>Methods</h4>This study used district-level reported cases of waterborne diseases (cholera, amoebiasis, typhoid and hepatitis A) obtained from the Bangladesh Bureau of Statistics (BBS) and meteorological data (temperature, relative humidity, wind speed, and precipitation) sourced from NASA for the period spanning 2017 to 2020. …”
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Impact of artificial intelligence-driven urban renewal strategies green economic efficiency and resident health in China by Jing Peng, Xin Fu, Yufan Peng, Yang Ding

“…It further explores how industrial structure rationalization, upgrading, and technological innovation capacity moderate these effects, aiming to provide actionable insights for sustainable urban governance.MethodsTo account for potential policy spillover effects, the study adopts a Difference-in-Differences (DID) approach integrated with a Spatial Durbin Model (SDM). …”
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The Therapeutic Potential of Cannabidiol in the Management of Temporomandibular Disorders and Orofacial Pain by Karolina Walczyńska-Dragon, Anna Kurek-Górecka, Jakub Fiegler-Rudol, Aleksandra Nitecka-Buchta, Stefan Baron

“…Relevant studies were sourced from PubMed, Scopus, and Web of Science databases. …”
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Association between out-of-pocket health expenditure and the disease burden of diabetes mellitus: insights from GBD 2021 by Luyou Dong, Zhifu Dong

“…This study analyzes the relationship between out-of-pocket (OOP) expenditure levels and the disease burden of diabetes mellitus, provides evidence-based recommendations for optimizing OOP expenditure strategies, and seeks to uncover any potential impact of healthcare inequalities on the disease burden of diabetes mellitus.MethodsThis cross-sectional study was performed among 36 countries with varying percentages of OOP payments from Health System in Transition. …”
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COMMUNICATION STRATEGIES AND TACTICS IN CRISIS SITUATIONS by Olena Danylina

“…The case-study analysis identified three overarching tactics of media behaviour: operational–informational (rapid dissemination of verified facts), analytical–interpretative (contextual explanation of cause-and-effect links), and mobilisation-oriented (stimulating collective action). Their optimal mix depends on crisis dynamics, while maximum effectiveness requires transparent sourcing, coordination with official bodies, and algorithmic content monitoring. …”
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Network Congestion Tracking and Detection in Banking Industry Using Machine Learning Models by Kingsley Ifeanyi Chibueze, Nwamaka Georgenia Ezeji, Nnenna Harmony Nwobodo-Nzeribe

“…This research utilizes a dataset sourced from MainOne Limited, which covered August 18th, 20th, 22nd, 23rd, and 24th, 2023, and included banking operation hours from 7 AM to 4 PM each day. …”
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Assessment of the Effect of Rosemary on Tomato Preservation. by Nanyanzi,Teopista

“…Fresh tomatoes were randomly sourced from local markets, and crude extracts were prepared from rosemary leaves using cold maceration. …”
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Integrated Analysis of Single‐Cell and Bulk RNA‐Sequencing Defines N7‐Methylguanosine (m7G)‐Mediated Modifications' Role in Prognosis and the Tumor Immune Microenvironment in Hepat... by Jiahua Liang, Mingjian Ma, Borui Xu, Cheng Zhong, Guangyan Zeng, Huijiao Lu, Jiaming Lai, Jiancong Chen

“…Knowledge regarding the effect of m7G modification on the clinical features of hepatocellular carcinoma and its prognosis, tumor immune microenvironment, and sensitivity to immunotherapy remains limited. Method Single‐cell RNA sequencing (scRNA‐seq) data was sourced from the GEO repository. …”
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Estimation and Forecasting of Nigeria&#x2019;s Residential, Commercial, and Industrial Electricity Demands by Prosper O. Ugbehe, Ogheneruona E. Diemuodeke, Daniel O. Aikhuele, Kenneth E. Okedu, Gauri Kalnoor

“…These unmet electricity needs are considered sensitive determinants in achieving optimal planning and utilization of electricity in a developing economy like Nigeria. …”
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Integrative radiomics of intra- and peri-tumoral features for enhanced risk prediction in thymic tumors: a multimodal analysis of tumor microenvironment contributions by Liang zhu, Jiamin Li, Xuefeng Wang, Yan He, Siyuan Li, Shuyan He, Biao Deng

“…Abstract Objectives This study aims to explore the role of intra- and peri-tumoral radiomics features in tumor risk prediction, with a particular focus on the impact of peri-tumoral characteristics on the tumor microenvironment. Methods A total of 133 patients, including 128 with thymomas and 5 with thymic carcinomas, were ultimately enrolled in this study. …”
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Technical note: Applicability of physics-based and machine-learning-based algorithms of a geostationary satellite in retrieving the diurnal cycle of cloud base height by M. Wang, M. Min, J. Li, H. Lin, Y. Liang, B. Chen, Z. Yao, N. Xu, M. Zhang

“…Results show that the two ML-based algorithms exhibit markedly superior performance (the optimal method is with a correlation coefficient of <span class="inline-formula"><i>R</i></span> <span class="inline-formula">&gt;</span> 0.91 and an absolute bias of approximately 0.8 km) compared to the two physics-based algorithms. …”
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The Impact of Physical Activity on Clinical Outcomes in Children with Cystic Fibrosis: A Narrative Review by Chiara Rosolia Capasso, Antonio Luca Miniato, Paola Di Filippo, Armando Di Ludovico, Sabrina Di Pillo, Francesco Chiarelli, Giuseppe Francesco Sferrazza Papa, Marina Attanasi

“…Emerging evidence supports the role of physical exercise in improving lung function, aerobic capacity, and quality of life in pediatric CF patients. Methods: We reviewed randomized clinical trials and observational studies from the last ten years, sourced from PubMed and Google Scholar. …”
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Targeting signaling pathways in neurodegenerative diseases: Quercetin's cellular and molecular mechanisms for neuroprotection by Md. Rezaul Islam, Md. Ibrahim Khalil Al‐Imran, Mehrukh Zehravi, Sherouk Hussein Sweilam, Mohammad Rakib Mortuza, Jeetendra Kumar Gupta, Thukani Sathanantham Shanmugarajan, Kadirvel Devi, Tanuja Tummala, Mohammed Ali Alshehri, Kalirajan Rajagopal, Mohammed Asiri, Irfan Ahmad, Talha Bin Emran

“…Abstract Background Neurodegenerative diseases (NDs), including Alzheimer‘s disease, Parkinson‘s disease, and Huntington‘s disease, are complex and challenging due to their intricate pathophysiology and limited treatment options. Methods This review systematically sourced articles related to neurodegenerative diseases, neurodegeneration, quercetin, and clinical studies from primary medical databases, including Scopus, PubMed, and Web of Science. …”
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