Optimal Management of Formation of Digital Competencies of Personnel of Organizations for the Purposes of Ensuring National Technological Sovereignty by Alexander A. Chursin, Andrey A. Efremov, Sergey V. Nazyuta

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ICT Adoption in Education: Unveiling Emergency Remote Teaching Challenges for Students with Functional Diversity Through Topic Identification in Modern Greek Data by Katia Lida Kermanidis, Spyridon Tzimiris, Stefanos Nikiforos, Maria Nefeli Nikiforos, Despoina Mouratidis

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Construction of and Low-Carbon Optimization Strategies for Block-Level Carbon Emission Control Unit by Wenjie LI, Yingsheng ZHENG, Qingfang ZHANG, Qiuyun ZENG

“…These parameters are then used to develop LCZ classification and urban morphology maps, providing a data foundation for spatial carbon emission modelling. …”
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Enhancing landslide dam stability prediction: a data-driven framework integrating missing data imputation and optimal threshold discrimination by Xiaojun Li, Xiaobo Zhang, Jun He, Yixiang Song, Yanqi Li

“…Threshold optimization improved classification accuracy by 3.1−9.3% for ambiguous cases (probabilities ∼0.5).DiscussionThe framework enables robust stability assessments even with incomplete field data, supporting emergency decision-making in landslide-prone regions. …”
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Evaluation of machine learning methods for the retrospective detection of ovarian cancer recurrences from chemotherapy data by A.D. Coles, C.D. McInerney, K. Zucker, S. Cheeseman, O.A. Johnson, G. Hall

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Assessing radiological factors: the role of pelvic tilt in surgery for geriatric patients with degenerative spinal disorders by Yiming Fan, Han Yu, Yi Huang, Chao Xue, Guoquan Zheng, Yan Wang

“…In a four-class classification, patients with PT > 18.0 degree and ≦ 25.3 degree were 3.903 times (95% CI: 1.588–9.591) more likely, while those with PT > 25.3 degree were 4.987 times (95% CI: 1.472–16.893) more likely to require surgery compared to patients with PT ≦ 11.4 degree (P = 0.003 and P = 0.010 respectively) after adjusting for potential confounding factors. …”
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Automated satellite remote sensing of giant kelp at the Falkland Islands (Islas Malvinas). by Henry F Houskeeper, Isaac S Rosenthal, Katherine C Cavanaugh, Camille Pawlak, Laura Trouille, Jarrett E K Byrnes, Tom W Bell, Kyle C Cavanaugh

“…We present and compare two approaches for automating the detection of giant kelp in satellite datasets: one based on crowd sourcing of satellite imagery classifications and another based on a decision tree paired with a spectral unmixing algorithm (automated using Google Earth Engine). …”
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Public Versus Academic Discourse on ChatGPT in Health Care: Mixed Methods Study by Patrick Baxter, Meng-Hao Li, Jiaxin Wei, Naoru Koizumi

“…MethodsWe used a hybrid sentiment analysis approach, integrating the Syuzhet package in R (R Core Team) with GPT-3.5, achieving an 84% accuracy rate in sentiment classification. …”
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StackTrans–Multimodal Heart Disease Detection Using Stacked Transformer Fusion Framework by Muhammad Adnan, Yang Yi, Enci Wang, Md Nasir Imtiaz

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Multi-Modal Analysis of Bi-Parametric MRI Slices for Lesion Detection in Prostate Cancer Screening by Davide Antonutti, Axel de Nardin, Silvia Zottin, Claudio Piciarelli, Gian Luca Foresti

“…While deep learning has significantly advanced prostate cancer detection in Magnetic Resonance Imaging (MRI), most existing models depend on full 3D scans, posing challenges for real-time deployment in clinical practice. …”
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A data-driven approach to forest health assessment through multivariate analysis and machine learning techniques by Raja Waqar Ahmed Khan, Hamayun Shaheen, Muhammad Ejaz Ul Islam Dar, Tariq Habib, Muhammad Manzoor, Syed Waseem Gillani, Abeer Al-Andal, John Oluwafemi Ayoola, Muhammad Waheed

“…ML models, including Decision Tree (DT), Random Forest (RF), and Support Vector Machine (SVM) were trained and validated using an 80:20 train-test split and 5-fold cross-validation. …”
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IDMPF: intelligent diabetes mellitus prediction framework using machine learning by Leila Ismail, Huned Materwala

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NOVEL KEY VARIABLES IN THE SURVIVAL OF PATIENTS WITH MYELODYSPLASTIC NEOPLASMS: A PRACTICAL APPROACH USING MACHINE LEARNING by PRC Passos, RDB Dias, SCC Carneiro, IB Nogueira, JMGF Lima, RC Venâncio, ACG Lavor, JVG Gama, RF Pinheiro, SMM Magalhães

“…Utilizing group elastic net machine learning, an artificial intelligence model capable of selecting relevant variables and assessing their discriminative power, we constructed 3 receiver operating characteristic (ROC) curves to predict 1, 3, and 5-year survival, extracting the area under the curve (AUC) and identifying variables with non-zero coefficients. …”
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Adaptive genetic algorithm based deep feature selector for cancer detection in lung histopathological images by Avigyan Roy, Priyam Saha, Nandita Gautam, Friedhelm Schwenker, Ram Sarkar

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Ensemble learning to predict short birth interval among reproductive-age women in Ethiopia: evidence from EDHS 2016–2019 by Jenberu Mekurianew Kelkay, Deje Sendek Anteneh, Henok Dessie Wubneh, Abraham Dessie Gessesse, Gebeyehu Fassil Gebeyehu, Kalkidan Kassahun Aweke, Mikiyas Birhanu Ejigu, Mathias Amare Sendeku, Kirubel Adrissie Barkneh, Hasset Girma Demissie, Wubshet D. Negash, Birku Getie Mihret

“…An ensemble Machin learning algorithm using different classification models were implemented. All analysis and calculation were performed using Python 3 programming language in Jupyter Notebook using imblearn, sklearn, and xgboost pakages. …”
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Trends and Application of Artificial Intelligence Technology in Orthodontic Diagnosis and Treatment Planning—A Review by Farraj Albalawi, Khalid A. Abalkhail

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Predicting Early Employability of Vietnamese Graduates: Insights from Data-Driven Analysis Through Machine Learning Methods by Long-Sheng Chen, Thao-Trang Huynh-Cam, Van-Canh Nguyen, Tzu-Chuen Lu, Dang-Khoa Le-Huynh

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Machine learning approaches for EGFR mutation status prediction in NSCLC: an updated systematic review by Liu Haixian, Liu Haixian, Pang Shu, Pang Shu, Li Zhao, Li Zhao, Lu Chunfeng, Lu Chunfeng, Li Lun

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Leveraging BERT, DistilBERT, and TinyBERT for Rumor Detection by Aijazahamed Qazi, R. H. Goudar, Rudragoud Patil, Geetabai S. Hukkeri, Dhanashree Kulkarni

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Impact of Marketing, Sales and Innovations on Business Performance Analysis in Intellectual Capital Research: Latvia, Estonia and Lithuania

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