Data Mining Classification Techniques for Diabetes Prediction by Hindreen Rashid Abdulqadir, Adnan Mohsin Abdulazeez, Dilovan Assad Zebari

“…RF offers 75,7813 greater precisions than Support Vector Machine (SVM).and may assist medical professionals in making care decisions. …”
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Lessons learned from the co-development of operational climate forecast services for vineyards management by N. Pérez-Zanón, V. Agudetse, E. Baulenas, P.A. Bretonnière, C. Delgado-Torres, N. González-Reviriego, A. Manrique-Suñén, A. Nicodemou, M. Olid, Ll. Palma, M. Terrado, B. Basile, F. Carteni, A. Dente, C. Ezquerra, F. Oldani, M. Otero, F. Santos-Alves, M. Torres, J. Valente, A. Soret

“…This service aims to help vineyard managers make decisions by anticipating the climate conditions up to three months in advance for a set of essential climate variables. …”
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Transparency and reproducibility in invasion science by Fabio Mologni, Jason Pither

“…For instance, only one study explicitly considered statistical power in the methods describing study design, and only 2 studies provided access to both data and code, which is the minimum requirement for computational reproducibility. We then discuss the implications that low statistical power has for published invasion science research, for designing studies, and for policymakers and practitioners relying on primary research to inform their decisions. …”
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Prediction of Train Station Delay Based on Multiattention Graph Convolution Network by Dalin Zhang, Yi Xu, Yunjuan Peng, Yumei Zhang, Daohua Wu, Hongwei Wang, Jintao Liu, Sabah Mohammed, Alessandro Calvi

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Device Evaluation, Treatment, and Explantation Recommendations (DETER): Review and Best Practices for Managing Neuromodulation Device Infections by Pritzlaff SG, Goree JH, Dare RK, D’Souza RS, Lee DW, Dudas AA, Kalia H, Orhurhu V, Singh N, Hagedorn JM, Mousavi A, James W, Leong MS, Meacham KW, Gulati A, Sheth SJ, Pena I, Shah JR, Murphy MZ, Nashi SE, Nasseri M, Khoury AM, Dorsi MJ, Falowski SM, Petersen EA, Tomycz ND, Wahezi S, Chakravarthy KV, Pope JE, Schatman ME, Amirdelfan K, Sayed D, Deer TR

“…This paper outlines best practices for diagnosing, managing, and treating neuromodulation device infections, focusing on guiding clinical decision-making from the onset of infection through treatment and potential reimplantation.Keywords: spinal cord stimulation, intrathecal pumps, procedure complications, infection control, surgical site infection…”
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Intelligent Optimization of OSPF Path Selection Using Machine Learning Models for Adaptive Network Routing by Rebeen Rebwar Hama Amin

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Estimating Ruin Probability in an Insurance Risk Model Using the Wang-PH Transform Through Claim Simulation by Weenakorn Ieosanurak, Adisak Moumeesri

“…Findings indicate the proposed method's computational efficiency, making it a valuable tool for insurers and risk analysts in assessing and mitigating financial risks in the non-life insurance sector. …”
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Geospatial Planning for Least-Cost Electrification in Developing Countries by Nicolò Ceccato, Corrado Maria Caminiti, Aleksandar Dimovski, Marina Petrelli, Midas Caubergs, Marco Merlo

“…To address the challenges of processing vast geospatial data, handling complex and computationally intensive network design, and making detailed yet accessible economic assessments, this work introduces a Buffering plugin for community identification and a Grid Routing and Cost Allocation plugin for network design and economic assessment, both integrated into the open-source QGIS platform. …”
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A LightGBM-Based Power Grid Frequency Prediction Method with Dynamic Significance–Correlation Feature Weighting by Jie Zhou, Xiangqian Tong, Shixian Bai, Jing Zhou

“…To verify the effectiveness of the D-SCW method, this study conducts comparative experiments on two actual grid operation datasets (including typical scenarios with wind/photovoltaic (PV) installations, accounting for 5–35% of the grid); additionally, the Spearman’s rank correlation coefficient method, mutual information (MI), Lasso regression, and the feature screening method of recursive feature elimination (RFE) are selected as the baseline control; root mean square error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE) are adopted as assessment indicators. The results show that the D-SCW-LightGBM framework reduces the root mean squared error (RMSE) by 5.2% to 10.4% and shortens the dynamic response delay by 52% compared with the benchmark method in high renewable penetration scenarios, confirming its effectiveness in both prediction accuracy and computational efficiency.…”
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Technology Foresight and Sustainable Innovation Development in the Complex Dynamical Systems View by Klaus Mainzer

“…The linear approach does not allow for covering a wide range of critical areas simultaneously in the scope of Foresight projects, it prevents one from applying an interdisciplinary approach to developing innovation strategies, correcting risk assessments, and making informed decisions.This paper proposes a solution: management based on “cyber-physical systems” (CPS) built on dynamic complexity and nonlinearity principles. …”
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Artificial intelligence model in the cognitive and learning activities of university subjects by N. Abishev, R. Ramazanov, M. Abaideldanova, K. Chesnokova, A. Baizhumayeva

“…The authors design this model using algorithms–sets of rules that enable programs to make decisions, recognize patterns, and generate predictions based on input data relevant to the learning and cognitive processes of university subjects. …”
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TM-Chain: TCB Measurement Management Using Cloud Blockchain for IoT Devices by Jaemin Park, Sungjin Park

“…In the IoT era, RA is an important security feature because verifiers make critical decisions based on the RA result. However, a massive and diverse collection of measurements for IoT devices makes managing the devices’ TCB measurements difficult and complex. …”
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Postrzeganie przez studentów możliwości wykorzystania modelowania procesów biznesowych w usprawnianiu organizacji by Małgorzata Oleś-Filiks

“…The use of business processes evaluates employees and intellectual capital to make informed decisions. Employee awareness and commitment are essential elements for the successful use of models.…”
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Metacognitive training (MCT) for psychosis: a systematic review and grade recommendations by Adrien Goncalves, Susana Ochoa, Steffen Moritz, Łukasz Gawęda, Alvaro Cavieres, Caroline König, Rabea Fischer, Antonia Meinhart, Maria Lamarca, Rosa Ayesa-Arriola, Ryan Balzan, Kerem Böge, Tania Lecomte, Stéphane Raffard, Fabrice Berna

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Experience of Penetrating Gunshot Wound on Head in Korea by Hong Rye Kim, Seung Je Go, Young Hoon Sul, Jin Bong Ye, Jin Young Lee, Jung Hee Choi, Seoung Myoung Choi, Yook Kim, Su Young Yoon

“…The patients underwent computed tomography (CT) for assessment of intracranial injury. …”
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School Leadership and Management in the Age of Artificial Intelligence (AI): Recent Developments and Future Prospects by Turgut Karakose, Tijen Tülübaş

“…With its capability to process large datasets, engage in human-like cognition, thinking, and conversation, make decisions, and execute actions by this means, AI technologies offer several opportunities to improve school-wide leadership, practice open management based on the principles of transparency, participation, and digital skills, create the required synergy to achieve ever-changing educational goals by integrating teachers, students, and parents into educational processes. …”

Application trends of the systemic paradigm in pharmaceutical research by T. V. Mahanova, N. О. Tkachenko

“…Pharmacists use systematic knowledge to study the regularities of complex, multilevel systems with a considerable number of variable, feedback connections between them in order to find or make rational management decisions. However, the level and direction of application of the system paradigm of knowledge in pharmacy remain to the end do not determine. …”
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Indicators of inflammatory, multiorgan impairment and redox biomarkers and CT findings in patients with COVID-19 pneumonia by Kosanović Tijana, Sagić Dragan, Ćorić Vesna

“…Consequently, chest multidetector computed tomography (MDCT) plays a crucial role in evaluating lung tissue inflammation, determining disease severity, making decisions regarding hospitalization, and assessing the necessity of intensive care unit treatment. …”
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Femoral strength after cephalomedullary nail removal can be predicted preoperatively using CT based FE models by Alexander Synek, Gilbert M. Schwarz, Andreas G. Reisinger, Stephanie Huber, Sylvia Nürnberger, Lena Hirtler, Jochen G. Hofstaetter, Dieter H. Pahr

“…This could help patients and clinicians to make an informed decision on implant removal and permissible post-operative weight-bearing.…”
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Reliability of Upper Extremity Functional Performance Tests for the Non-overhead Athlete by Bryan L Riemann, George J Davies

“… # Conclusion All three UEFPT demonstrated sufficient reliability. Thus, all three assessments can be used for serial assessments to progress a patient through rehabilitation as well as contribute to the criteria used in making return to sport decisions…”
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