A Method for Landslide Deformation Detection Based on Projection Surface Element Matching of 3D Models by Mengxi Sun, Hui Cao, Yansong Duan

“…To validate the efficacy of the proposed method, a longitudinal study spanning 4 years was conducted at the Che Yiping landslide site located in western Yunnan Province, China. …”
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Inclusion of blood pressure parameter increases predictive capability of severe obstructive sleep apnea: A decision tree approach by Hsiang‐Ju Cheng, Chung‐Yi Li, Cheng‐Yu Lin

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Interpretable Machine Learning Models for Predicting Cesarean Delivery in Class III Obese Cohorts by Rachel Bennett, Stephanie L. Pierce, Talayeh Razzaghi

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Unstructured road semantic segmentation method based on 3D point cloud of open pit mine by Caiwu LU, Jianan XUE, Meng LI, Shengyu YAN, sai ZHANG, Song JIANG, Runfeng HE

“…In order to verify the effectiveness of the method, 2641 sets of samples of open pit mine point cloud data were constructed based on the S3DIS dataset format for conversion, segmentation and data enhancement. …”
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Environmental, social and governance trends in Asian firms: a systematic review and bibliometric analysis using the antecedents-decisions-outcomes–theories-context-methods framewor... by Jessica Hermawan, Liliana Inggrit Wijaya, Andri Rianawati

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Engaging adolescents and young adults in decisions about return of genomic research results: study protocol for a mixed-methods longitudinal clinical trial protocol by Amy A. Blumling, Michelle L. McGowan, Cynthia A. Prows, Kristin Childers-Buschle, Lisa J. Martin, John A. Lynch, Kevin R. Dufendach, Ellen A. Lipstein, Melinda Butsch Kovacic, William B. Brinkman, Melanie F. Myers

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A multicenter pragmatic implementation study of AI-ECG-based clinical decision support software to identify low LVEF: Clinical trial design and methods by Francisco Lopez-Jimenez, Heather M. Alger, Zachi I. Attia, Barbara Barry, Ranee Chatterjee, Rowena Dolor, Paul A. Friedman, Stephen J. Greene, Jason Greenwood, Vinay Gundurao, Sarah Hackett, Prerak Jain, Anja Kinaszczuk, Ketan Mehta, Jason O'Grady, Ambarish Pandey, Christopher Pullins, Arjun R. Puranik, Mohan Krishna Ranganathan, David Rushlow, Mark Stampehl, Vinayak Subramanian, Kitzner Vassor, Xuan Zhu, Samir Awasthi

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Nomogram for Predicting 1‐, 3‐, and 5‐Year Survival in Hemodynamically Significant Aortic Regurgitation: The ARISE Score by Kang Liu, Meng‐Han Tsai, Wei‐Jyun Wang, Jui Wang, Seanson Chance Ju, Masashi Amano, Chisato Izumi, Yi‐Lwun Ho, Masaaki Takeuchi, Li‐Tan Yang

“…We aimed to develop and validate a nomogram‐based score to predict survival and identify high‐risk patients for timely aortic valve surgery referral. Methods and Results From 2008 to 2022, 1229 patients (derivation data set: 764 Taiwanese; validation data set: 465 Japanese; age: 64±17 years) with isolated chronic moderately severe to severe aortic regurgitation from 3 centers were included. …”
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How Traditional Costing Methods Hinder the Development of Modular Product Architectures by Morten Nørgaard, Jakob Meinertz Grønvald, Carsten Keinicke Fjord Christensen, Niels Henrik Mortensen

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Deep Learning-Based Spatial Prediction of Landslide Risk in Coastal Areas Using GIS and Multicriteria Decision Making: A DeepLabV3+ Approach by Huyong Yan, Asad Khan, Ahsan Jamil, Belkendil Abdeldjalil, Taoufik Saidani, Nazih Y. Rebouh

“…The complex, nonlinear interconnections of environmental and human elements cause terrain instability and challenge conventional prediction methods. In this work, we offer a DeepLabV3+-based deep learning framework coupled with geographic information systems and multicriteria decision making methods for spatial prediction of landslide risk, over the Dubai coastal and urban region (covering approximately 4000 km²). …”
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A rapid recognition method for radar active jamming based on the Hybrid 3_CNN‐Transformer model by Jingjing Wei, Lei Yu, Yinsheng Wei, Rongqing Xu

“…Accurate and real‐time jamming recognition is crucial for effective radar anti‐jamming decisions. For scenarios with limited data, a rapid active jamming recognition method based on the Hybrid 3_CNN‐Transformer model is proposed. …”
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Use of a Personalised Early Warning Decision Support System for Acute Exacerbations of Chronic Obstructive Pulmonary Disease: Results of the “Predict & Prevent” Phase III Trial by Eleni Gkini, Rajnikant L. Mehta, Sarah Tearne, Lucy Doos, Sue Jowett, Nicola Gale, Alice M. Turner

“…Rationale The Predict&Prevent trial was designed to provide a definitive randomised clinical trial of a personalised early warning decision support system, COPDPredict™.Methods Adults with ≥1 AECOPD were randomly assigned in a 1:1 ratio to use of a personalised early warning decision support system (COPDPredict™) or standard self-management plans with rescue medication (RM) (control). …”
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Comparative evaluation of artificial intelligence models GPT-4 and GPT-3.5 in clinical decision-making in sports surgery and physiotherapy: a cross-sectional study by Sönmez Saglam, Veysel Uludag, Zekeriya Okan Karaduman, Mehmet Arıcan, Mücahid Osman Yücel, Raşit Emin Dalaslan

“…This study aims to compare the performance of GPT-4 and GPT-3.5 in clinical decision-making within these domains using a structured assessment approach. …”
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Navigating the Complex ESG Accounting Landscape: Engineering a Method Selection Framework by Vijanti Ramautar, Sergio España, Siamak Farshidi

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A novel decision-making approach for the selection of best deep learning techniques under logarithmic fractional fuzzy set information by Naseer Ullah, Muhammad Azam, Muhammad Abbas, Wajid Hussain, Asnake Birhanu, Khaled A. Gepreel

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Comparison Between SAW and TOPSIS Methods in Selection of Broiler Chicken Meat Quality by Pungky Tri Kisworo Adi, Endang Sugiharti, Alamsyah Alamsyah

“…Decision support system is a system that can assist semi-structured and unstructured decision making, in which no one knows exactly how decisions should be made. …”
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Educating nurses on prioritization: insights from a mixed-methods study on unfinished nursing care by Erika Bassi, Terry L. Jones, Stefania Chiappinotto, Daniela Tartaglini, Alberto Dal Molin, Alvisa Palese

“…Methods A sequential, explanatory, mixed-methods study design was performed including a cross-sectional survey and a qualitative descriptive study. …”
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How to select third-party library: harnessing visual insights and systematic evaluation for informed decisions by Alexander Lysenko, Igor Kononenko

“…Also, it needs to include recommendations for surveys development; 2) formalize a two-step method that enriches the outcomes and allows for their combined use, where the first step employs radial diagrams to visualize and simplify alternative assessments, and the second step applies the TOPSIS method to address the multi-criteria decision-making problem of selecting a third-party library; 3) the practical application of the proposed approach through illustrative samples. …”
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A cost-effectiveness analysis of Molnupiravir and Paxlovid for outpatient treatment of COVID-19 in three African countries by Ijeoma P. Edoka, Tom Drake, Peter Baker, Raji Tajudeen, Elias Asfaw, Javier Guzman, Nicaise Ndembi, Justice Nonvignon, Jean Kaseya

“…Methods: We modelled costs (2022 United States dollars) and health outcomes in the acute phase of COVID-19 from a public payer’s perspective in three unvaccinated target populations: (1) all adult patients, (2) patients aged 65 years and above (elderly), and (3) adult patients with other underlying risk factors for disease severity. …”
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Developing a practical tool for measuring parental vaccine hesitancy: A people-centered validation approach in Dutch by Daphne Bussink-Voorend, Jeannine L. A. Hautvast, Tim Wiersma, Reinier Akkermans, Marlies E. J. L. Hulscher

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