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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Augmented Reality for Identifying Maintainability Concerns during Design by Imad A. Khalek, Jad M. Chalhoub, Steven K. Ayer

“…Student participants, without prior maintenance experience, were randomly assigned to explore a design to assess maintainability concerns with either augmented reality (AR) or a traditional computer screen for viewing a Building Information Model (BIM). …”
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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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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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Application of Artificial Neural Networks to Predict the Use of Mobile Learning by University Students by Alejandro Valencia-Arias, Julián Alberto Uribe-Gómez, Evelyn Flores-Siapo, Lucia Palacios-Moya, Ada Gallegos, Ezequiel Martínez Rojas

“…ANNs are supervised machine learning techniques that imitate the organization and operation of the human brain to process data and render decisions. ANNs are computer systems that can learn from observation and experience, much like the human brain, and can subsequently use the acquired knowledge to recognize patterns and make predictions. …”
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Explainable post hoc portfolio management financial policy of a Deep Reinforcement Learning agent. by Alejandra de-la-Rica-Escudero, Eduardo C Garrido-Merchán, María Coronado-Vaca

“…By executing our methodology, we can interpret in prediction time the actions of the agent to assess whether they follow the requisites of an investment policy or to assess the risk of following the agent's suggestions. …”
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Evaluation of health literacy in lung transplant candidates by Jorge Vinales, BS, Rommel Sagana, MD, Kiran H. Lagisetty, MD, Corey Powell, PhD, Jeffrey Clay, ADN, Rebecca Hunt, BSN, Jennifer Shevket, BSN, Vikas Sood, MSN, Ashwin Kulkarni, BS, Krysta Walter, PharmD

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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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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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Improving Surgical Site Infection Prediction Using Machine Learning: Addressing Challenges of Highly Imbalanced Data by Salha Al-Ahmari, Farrukh Nadeem

“…For computational efficiency, the Instance Hardness Threshold (IHT) offers a viable alternative undersampling technique, though it may compromise performance to some extent. …”
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Improving health-promoting workplaces through interdisciplinary approaches. The example of WISEWORK-C, a cluster of five work and health projects within Horizon-Europe by Deborah De Moortel, Michelle C Turner, Ella Arensman, Alex Binh Vinh Duc Nguyen, Víctor Gonzalez

“…These shifts are giving rise to new forms of work (eg, hybrid work, gig economy jobs) and reshaping management and work organization practices (eg, through algorithmic decision-making or digital monitoring of worker performance). …”
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Transformational influence of the impact player rule on performance quality and entertainment value in the 2023 season: a comprehensive analysis of cricket by S. Sanjaykumar, M. Ezhilarasan, D. J. Asath Ali Khan, Joseph Lobo, Vlad A. Geantă, Edi Setiawan

“…Understanding the positive impact of the impact player rule on the IPL can aid in making informed decisions to further enhance the league's competitiveness and entertainment value. …”
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Deep Learning-Based Imagery Style Evaluation for Cross-Category Industrial Product Forms by Jianmin Zhang, Yuliang Li, Mingxing Zhou, Sixuan Chu

“…This ambiguity often results in suboptimal market positioning and design decisions. Existing methods, primarily limited to single product categories, rely on labor-intensive user surveys and computationally expensive data processing techniques, thus failing to support cross-category collaboration. …”
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