Impact of Nasopharyngeal FilmArray Respiratory Panel Results on Antimicrobial Decisions in Hospitalized Patients by Kenneth K. Sakata, Natalya Azadeh, Anjuli Brighton, M’hamed Temkit, Christine L. Klassen, Thomas E. Grys, Holenarasipur R. Vikram

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Factors influencing parents’ food-purchasing decisions in the Pacific: a qualitative study in Tonga by Sela Ki Folau Fusi, Alessandro Crocetti, Adrian J. Cameron, Megan Ferguson, Kathryn Backholer, Jennifer Browne

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External Validation of a Predictive Model for Thyroid Cancer Risk with Decision Curve Analysis by Juan Jesús Fernández Alba, Florentino Carral, Carmen Ayala Ortega, Jose Diego Santotoribio, María Castillo Lara, Carmen González Macías

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Implementation of multidisciplinary team decisions on the management of complex bone and joint infections: an observational study by Jaap L.J. Hanssen, Henrica M.J. van der Linden, Martha T. van der Beek, Robert J.P. van der Wal, Marco F. Termaat, Mark G.J. de Boer, Henk Scheper

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Psychological and Social Factors in Jury Decision-Making: An Analysis of the Influence of Implicit Bias and Prejudice by João Miguel Alves Ferreira, Sergii Tukaiev

“…However, a growing body of research suggests that psychological and social factors, such as implicit bias and cultural prejudices, can significantly influence the jury's decision-making process, compromising impartiality and potentially leading to judicial errors [1][3][5]. …”
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Stakeholders’ Perspectives on Postmastectomy Breast Reconstruction: Recognizing Ways to Improve Shared Decision Making by Jessica M. Hasak, MPH, Terence M. Myckatyn, MD, Victoria F. Lenihan, Sydney E. Philpott, BS, Rajiv P. Parikh, MD, MPHS, Mary C. Politi, PhD

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Development and evaluation of a dynamic nomogram model for intraoperative blood transfusion decision-making by Min Li, Wei Jiang, Jialing Lin, Hui Du, Jiawen Shan, Li Qin

“…In the training set, independent risk factors affecting intraoperative blood transfusion in patients were obtained through Lasso regression and binary logistic regression analysis, and the regression model was established and validated.ResultsThrough Lasso regression with cross-validation and binary logistic regression analysis, the independent risk factors affecting patients’ intraoperative blood transfusion decision-making were determined as ASAs (III) (OR = 3.009, 95% CI = 1.311–6.909), surgical grading (IV) (OR = 3.772, 95% CI = 1.112–12.789), EBL (OR = 1.003, 95% CI = 1.002–1.004), preHGB (OR = 0.932, 95% CI = 0.919–0.946), LVEF (OR = 1.063, 95% CI = 1.028–1.098), Temp (OR = 57.14, 95% CI = 9.740–35.204), preAPTT (OR = 1.147, 95% CI = 1.079–1.220), and preDD (OR = 1.127, 95% CI = 1.048–1.212). …”
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A Stepwise decision tree model for differential diagnosis of Kimura’s disease in the head and neck by Rui Luo, Gongxin Yang, Huimin Shi, Yining He, Yongshun Han, Zhen Tian, Yingwei Wu

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Local or Neighborhood? Examining the Relationship between Traffic Accidents and Land Use Using a Gradient Boosting Machine Learning Method: The Case of Suzhou Industrial Park, Chin... by Yueming Yang, Hyungchul Chung, Joon Sik Kim

“…Using a case study of Suzhou Industrial Park (SIP) in Suzhou, China, this paper examines the relationship between different land use types and traffic accidents using a gradient boosting model (GBM) machine learning method. The results show that the GBM can be used as an effective accident model for a variety of research and analysis methods by (1) ranking the influential factors, (2) testing the degree of interpretation of each variable as the complexity of iterations changes, and (3) obtaining partial dependence plots, among other methods. …”
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How integrated knowledge translation worked to reduce federal policy barriers to the implementation of medication abortion in Canada: a realist evaluation by Sarah Munro, Kate Wahl, Sheila Dunn, Courtney Devane, Linda C. Li, Wendy V. Norman

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Assessing the impact of multi-source environmental variables on soil organic carbon in different land use types of China using an interpretable high-precision machine learning meth... by Feng Wang, Ruilin Liang, Shuyue Li, Meiyan Xiang, Weihao Yang, Miao Lu, Yingqiang Song

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AI-Powered Stroke Diagnosis System: Methodological Framework and Implementation by Marta Narigina, Agris Vindecs, Dušanka Bošković, Yuri Merkuryev, Andrejs Romanovs

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Comparative Analysis of Pass Go and Traditional Drill Training Methods on Passing Accuracy Development in Youth Football Players Aged 12-15 Years: A Randomized Controlled Trial by Larue Valerio, Fatma Hilal Yagin, Spiridon Plakias

“…Materials and methods. Sixty youth football players aged 12-15 were randomly assigned to a 12-week intervention with three groups: Pass Go (game-based training), drill-based training, and a control group. …”
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A Retrospective Analysis of Polymer Selection Using Solvent Casting: Formulation and DoE Optimization of the Amorphous Solid Dispersion of Amoxicillin Trihydrate by a Spray Drying... by Chetan Borkhataria, Hardik Chauhan, Bhargavi Mistry, Manisha Kalaria, Rachana Katbamana, Kalpesh Patel

“…Amorphous solid dispersion prepared by spray drying could solve all three problems at the same time. Objective. To prepare amorphous solid dispersion after screening of polymers by solvent casting method using a spray drying method. …”
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A novel computational method to predict hypoattenuated leaflet thickening post-transcatheter aortic valve replacement using preprocedural computed tomography scansCentral MessagePe... by Aniket Venkatesh, MS, Fateme Esmailie, PhD, Noah Tregobov, BSc, Hoda Hatoum, PhD, Breandan Yeats, PhD, Huang Chen, PhD, Beom Jun Lee, MS, Philipp Ruile, MD, Franz-Josef Neumann, MD, Philipp Blanke, MD, Jonathon Leipsic, MD, Gaurav Gulsin, MD, Vinod Thourani, MD, David Meier, MD, Lakshmi Prasad Dasi, PhD, Stephanie L. Sellers, PhD

“…The objective was to develop a novel fast-response, artificial intelligence, and machine learning (ML)-driven computational pipeline to predict HALT using preprocedural CT scans. Methods: The pipeline consisted of (1) pre-TAVR CT reconstruction and reduced order modeling simulations to automatically predict postprocedural geometric parameters, (2) a landmark-guided automated left ventricle segmentation method to predict hemodynamic parameters, and (3) statistical and ML analyses to develop HALT predictive metrics. …”
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TECHNOLOGY OF CLEANING LOW-POTENTIAL ARTESIAN WATERS OF NORTH DAGESTAN FROM TOXIC COMPOUNDS by A. G. Kaymarazov

“…Arsenic compounds and humic acids was found in the most studied waters in amounts far exceeding World Health Organization (WHO) limiting rate for drinking water by spectral analysis methods (AAS, SPM). The sorbent based on DEAE-cellulose modified with Fe3+ ions was prepared and tested by us for cleaning of the waters containing the arsenic compounds in an amount of more than 700 mcg/dm3 and humic acids in an amount approximately equal to 200 mg/dm3. …”
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A Review of Integrated Optimization Method of Batch Planning and Scheduling for Steelmaking-Continuous Casting-Hot Rolling Production Under Uncertain Environment Based on Lagrangia... by Liangliang Sun, Xirang Hao, Yunpeng Li, Jinghan Xue, Natalia M. Matsveichuk, Yuri N. Sotskov, Qichun Zhang

“…It discusses the research status of batch planning and scheduling methods for SM-CC-HR production based on the Lagrangian relaxation framework, analyzes the problems existing in current research, and points out the main research directions and important research contents in the future, in order to promote the research and application of batch planning and scheduling problems for SM-CC-HR under uncertain environments.…”
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Artificial-Intelligence-Based Energy Management Strategies for Hybrid Electric Vehicles: A Comprehensive Review by Bin Huang, Wenbin Yu, Minrui Ma, Xiaoxu Wei, Guangya Wang

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Unlocking the structural, vibrational, electronic, optical and thermoelectric properties of K2X (X=S, Se, Te) monolayers via DFT and ML by G. Sneha, R.D. Eithiraj

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Performance of an End-to-End Inventory Demand Forecasting Pipeline Using a Federated Data Ecosystem by Henrique Duarte Moura, Els de Vleeschauwer, Gerald Haesendonck, Ben De Meester, Lynn D’eer, Tom De Schepper, Siegfried Mercelis, Erik Mannens

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