Prevalence and determinants of intimate partner sexual violence among pregnant women in sub-Saharan Africa: Evidence from the most recent DHS data 2015–2022 by Berhan Tekeba, Tadesse Tarik Tamir, Gebreeysus Abera Zeleke, Alebachew Ferede Zegeye

“…The adjusted odds ratio at 95% confidence interval (95% CI) was computed to assess the strength and significance of the association between explanatory and outcome variables. …”
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Spatial disparities of antenatal care utilization among pregnant women in sub-Saharan Africa—Bayesian geo-additive modelling approach by Denekew Bitew Belay, Denekew Bitew Belay, Haile Mekonnen Fenta, Haile Mekonnen Fenta, Haile Mekonnen Fenta, Nigussie Adam Birhan, Najmeh Nakhaei Rad, Ding-Geng Chen, Ding-Geng Chen

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An End-to-End Framework for Neonatal Asphyxia Detection Through Video Analysis by Kurnianingsih, Sou Nobukawa, Melyana Nurul Widyawati, Cipta Pramana, Nurseno Bayu Aji, Afandi Nur Aziz Thohari, Dwiana Hendrawati, Eri Sato-Shimokawara, Naoyuki Kubota

“…Second, we introduce a new quality-aware temporal analysis framework that includes adaptive quality assessment for evaluating frames in real time, multi-stage feature stability tracking across temporal windows, hysteresis-based decision logic for ensuring temporal consistency, and LightGBM classification with comprehensive feature engineering to assess severity. …”
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Introduction by Merve Bedir

“…This research could contribute to the further development of computational model(s) and tools in support of user’s decision-making processes. …”
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Improving Multi-Class Classification for Recognition of the Prioritized Classes Using the Analytic Hierarchy Process by Algimantas Venčkauskas, Jevgenijus Toldinas, Nerijus Morkevičius

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Wheat Powdery Mildew Severity Classification Based on an Improved ResNet34 Model by Meilin Li, Yufeng Guo, Wei Guo, Hongbo Qiao, Lei Shi, Yang Liu, Guang Zheng, Hui Zhang, Qiang Wang

“…In addition, interpretability techniques such as channel masking and Grad-CAM were employed to visualize the model’s decision-making process. Experimental validation demonstrated that QY-SE-MResNet34 achieved an 89% classification accuracy, outperforming established models such as ResNet50, VGG16, and MobileNetV2 and surpassing the original ResNet34 by 11%. …”
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Eeg-based detection of epileptic seizures in patients with disabilities using a novel attention-driven deep learning framework with SHAP interpretability by Tawfeeq Shawly, Ahmed A. Alsheikhy

“…The incorporation of explainability techniques, including Shapley Additive Explanations (SHAP), enhances model transparency, which is beneficial for clinical decision-making. These findings suggest that the proposed attention-enhanced CNN framework serves as a reliable and interpretable tool for the early detection of epilepsy and patient monitoring.…”
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Automatic Evaluation of Bone Age Using Hand Radiographs and Pancorporal Radiographs in Adolescent Idiopathic Scoliosis by Ifrah Andleeb, Bilal Zahid Hussain, Julie Joncas, Soraya Barchi, Marjolaine Roy-Beaudry, Stefan Parent, Guy Grimard, Hubert Labelle, Luc Duong

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Associations Between the Atherogenic Index of Plasma and Triglyceride-Glucose Index With Coronary Microvascular Dysfunction in Hypertensive Patients by Cui X, Li M, Jing A, Zhang Y, Zheng L, Li T, Hao T, Lang J, Guo Z, Cong H, Zhang Y

“…Their combined use can improve clinical decision-making and patient outcomes.Keywords: triglyceride-glucose index, atherogenic index of plasma, coronary microvascular dysfunction, hypertension…”
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Advancing public health through Spatial Data Infrastructures: a review of global practices, governance and policy recommendations by Victor Mayowa Adeleye, Patrick Ashinze, Teslim Okeoyo, Veronica El Nabbout, Emmanuel Chileshe Phiri, Gargi Gautam, Collins Chukwunonso Ezea, Alhazan Amir Adebayo, Halima Ali, Ekemode Oluwadamilola Monsurat

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UCrack-DA: A Multi-Scale Unsupervised Domain Adaptation Method for Surface Crack Segmentation by Fei Deng, Shaohui Yang, Bin Wang, Xiujun Dong, Siyuan Tian

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Biomarker Investigation Using Multiple Brain Measures from MRI Through Explainable Artificial Intelligence in Alzheimer’s Disease Classification by Davide Coluzzi, Valentina Bordin, Massimo W. Rivolta, Igor Fortel, Liang Zhan, Alex Leow, Giuseppe Baselli

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Exploring the effects of journal article features: Implications for automated prediction of scholarly impact by Abramo Giovanni, D’Angelo Ciriaco Andrea, Grilli Leonardo

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Role of 18F FDG PET-CT in characterizing low backache: is it worth doing it? by R. K. Kanojia, O. Singh, V. Kumar, R. Kumar, S. Maheshwari

“…Its utility in clinical decision-making and patient outcomes warrants further investigation.…”
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Hybrid deep learning-enabled framework for enhancing security, data integrity, and operational performance in Healthcare Internet of Things (H-IoT) environments by Nithesh Naik, Neha Surendranath, Sai Annamaiah Basava Raju, Chennaiah Madduri, Nagaraju Dasari, Vinod Kumar Shukla, Vathsala Patil

“…Experiments are conducted on edge devices including Raspberry Pi and Jetson Nano to assess scalability. The proposed framework achieved an average F1-score of 94.3% for anomaly detection and a 96.1% accuracy in access decision classification. …”
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Digital Interventions for Cognitive Dysfunction in Patients With Stroke: Systematic Review and Meta-Analysis by Chen Wang, Min Liu

“…ObjectiveThis study aimed to evaluate the efficacy of various digital interventions in improving poststroke cognitive function and provide evidence-based support for clinical decision-making. MethodsA systematic search was conducted across PubMed, Web of Science, Cochrane Library, Scopus, Embase, and CNKI databases from their inception to January 2025, with no restrictions on language or publication year. …”
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Head and neck tumor organoid grown under simplified media conditions model tumor biology and chemoradiation responses by Weilin Li, Michiya Nishino, Eric Reed, Dipikaa Akshinthala, Hamdan Ahmed Pasha, Erik S. Anderson, Ling Huang, Hannah Hebestreit, Stefano Monti, Ernest D. Gomez, Scharukh M. Jalisi, Senthil K. Muthuswamy

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Decomposition of Neutrosophic Zero-divisor graph by Balakrishnan A, Kanchana M, Said Broumi, Thirugnanasambandam K

“…The application of Multi-Criteria Decision-Making (MCDM) methodologies offers a structured and systematic approach to estimating student performance based on diverse and interdependent criteria. …”
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Total Lesion Glycolysis (TLG) on 18F-FDG PET/CT as a Potential Predictor of Pathological Complete Response in Locally Advanced Rectal Cancer After Total Neoadjuvant Therapy: A Retr... by Handan Tokmak, Nurhan Demir, Hazal Cansu Çulpan

“…Its inclusion in clinical decision-making could improve patient selection for organ preservation strategies, thereby reducing the need for unnecessary surgeries in the future. …”
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Cross-Company Data Sharing Using Distributed Analytics by Soo-Yon Kim, Stefanie Berninger, Max Kocher, Martin Perau, Sandra Geisler

“…Decision making in modern supply chain management relies heavily on data-driven decision support. …”
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