Fast, smart, and adaptive: using machine learning to optimize mental health assessment and monitor change over time by Daiana Colledani, Claudio Barbaranelli, Pasquale Anselmi

“…Abstract In mental health, accurate symptom assessment and precise measurement of patient conditions are crucial for clinical decision-making and effective treatment planning. …”
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Predictive risks assessment of power supply interruption to oil production consumers, taking into account changes in significant factors by V. M. Levin, N. P. Guzhov

“…THE GOAL. To develop a decision-making procedure for the commissioning of equipment in the power supply system of oil production facilities in accordance with the minimum risk criterion. …”
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Regional Stiffness and Hardening Indices: New Indicators Derived from Multidimensional Dynamic CTA for Aneurysm Risk Assessment by Tianming Huang, Xiaoyu Qi, Lan Cao, Ming Yang, Huan Luo, Qin Li, Peidong Qian, Jia Lu, Ziqiao Lei, Yuanming Luo, Chao Yang

“…This work introduces new tools and new indices for aortic mechanical assessment which may shed light on understanding the mechanical condition, pathological state and eventually benefit clinical decision‐making.…”
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Application of Artificial Intelligence in Medical Imaging: Current Status and Future Directions by Yixin Yang, Lan Ye, Zhanhui Feng

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Preoperative assessment of coronary stenosis through ordinary chest CT for patients scheduled total hip or knee arthroplasty by Yi Li, Yang Wang, Ting Ma, Xin Duan, Haibo Si

“…BackgroundCoronary artery calcium (CAC) is one of the main factors causing coronary stenosis and is often identified on ordinary chest computed tomography (CT). This study aims to explore the effectiveness of utilizing routine chest CT for preoperative coronary stenosis assessment in patients scheduled total hip or knee arthroplasty.Materials and methodsBetween July 2020 and July 2024, a retrospective analysis was conducted, and a total of 293 patients who intended to perform total hip or knee arthroplasty were included from 12,150 chest CT scans. …”
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Integrating CT-based radiomics and clinical features to better predict the prognosis of acute pancreatitis by Hang Chen, Yao Wen, Xinya Li, Xia Li, Liping Su, Xinglan Wang, Fang Wang, Dan Liu

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Prediction of acute pancreatitis severity based on early CT radiomics by Mingyao Qi, Chao Lu, Rao Dai, Jiulou Zhang, Hui Hu, Xiuhong Shan

“…Conclusion The clinical-radiomics model offers a novel tool for the early prediction of acute pancreatitis severity, providing valuable support for clinical decision-making.…”
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Quantification of the relation between continuous glucose monitoring observation period and the estimation error in assessing long-term glucose regulation by Gozewijn D Laverman, Stennie Zoet, Thomas Urgert, Anouk Veldhuis, Bert-Jan van Beijnum

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Enhanced Reliability Assessment in Distribution Network Planning via Optimal Double Q Strategy with Explicit Topology-Variable Consideration by J. Jiang, Q. Luo, Z. Xu, H. Li, C. Gao

“…Additionally, recognizing the discrete decision-making aspects of the planning issue, a mixed-integer linear programming model is developed. …”
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Reimagining research for renewable energy resources solutions: Integrating Intergovernmental Panel on Climate Change assessments for effective global action by Riadh Abdul Retha Abass, Hassan Falah Fakhruldeen, Omer Al-Dulaimi, Bashar Mahmood Ali, Azizbek Khurramov, Feryal Ibrahim Jabbar, Maha Barakat, Sameer Algburi

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A review of machine learning techniques for urban resilience research: The application and progress of different machine learning techniques in assessing and enhancing urban resili... by Yu Chen, Wenxing You, Lu Ou, Hui Tang

“…The techniques facilitate resilience through real-time data analytics for informed decision-making and responsive disaster management.…”
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Assessment of Records Management Practices among the Administrative Staff of University Education: A Case Study of Bishop Stuat University. by Alex, Ahibisibwe

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The Nutritional Phenotyping of Idiopathic Pulmonary Fibrosis Through Morphofunctional Assessment: A Bicentric Cross-Sectional Case–Control Study by Alicia Sanmartín-Sánchez, Rocío Fernández-Jiménez, Eva Cabrera-César, Francisco Espíldora-Hernández, Isabel Vegas-Aguilar, María del Mar Amaya-Campos, Fiorella Ximena Palmas-Candia, Josefina Olivares-Alcolea, Víctor José Simón-Frapolli, Isabel Cornejo-Pareja, Ana Sánchez-García, Mora Murri, Patricia Guirado-Peláez, Álvaro Vidal-Suárez, Lourdes Garrido-Sánchez, Francisco J. Tinahones, Jose Luis Velasco-Garrido, Jose Manuel García-Almeida

“…There is increasing evidence supporting the use of morphofunctional assessment (MFA) as a tool for clinical characterization and decision-making in malnourished patients. …”
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A point-of-care evaluation after visual loss following paraclinoid aneurysm repair: the role of sonographic and pupillometer assessment by Giacomo Bertolini, Ernesto Migliorino, Diego Mazzatenta, Carlo Bortolotti, Raffaele Aspide

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Towards Circular Buildings in Hong Kong: A New Integrated Technology–Material–Design (TMD) Circularity Assessment Framework by Ericson K. S. Lau, Daniel W. M. Chan, Benjamin I. Oluleye, Timothy O. Olawumi

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Fault Diagnosis of Hot Rolling Equipment Under Uncertain Conditions Based on Cloud Rough Model, Game Theory, and Improved GRA-TOPSIS by Bo Hu, Yongjun Zhang, Fengwei Jing

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Application of Intuitionistic Fuzzy Approaches and Bonferroni Mean Operators in the Selection of Suppliers of Agricultural Equipment and Machinery for the Needs of the Agriculture... by Adis Puška, Saša Igić, Nedeljko Prdić, Branislav Dudić, Ilija Stojanović, Lazar Stošić, Miroslav Nedeljković

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Express - a method of forming a representative expert coalition based on an extended correlation matrix by R. A. Zhilin

“…The proposed method can be applied in various scientific and technical fields, such as expert systems, multi-criteria decision making, risk assessment, and other situations where it is necessary to combine the opinions of a large number of experts.…”
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Machine learning and partial differential equations: benchmark, simplify, and discover by Petros Koumoutsakos

“…The convergence of AI and scientific computing opens new horizons for scientific discovery and effective decision-making.…”
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Predicting overall survival in glioblastoma patients using machine learning: an analysis of treatment efficacy and patient prognosis by Razvan Onciul, Razvan Onciul, Felix-Mircea Brehar, Felix-Mircea Brehar, Adrian Vasile Dumitru, Adrian Vasile Dumitru, Carla Crivoi, Razvan-Adrian Covache-Busuioc, Razvan-Adrian Covache-Busuioc, Matei Serban, Matei Serban, Petrinel Mugurel Radoi, Petrinel Mugurel Radoi, Corneliu Toader, Corneliu Toader

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