Influence of pacifier design on pacifier-palate contact: a finite element analysis by Michaela Maintz, Prasad Nalabothu, Florian M. Thieringer, Carlalberta Verna

“…Understanding the biomechanical impacts of pacifier use is the first step in giving valuable insights to both clinicians and parents in making informed decisions regarding pacifier selection to support optimal oral development. …”
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Sarcopenia in Patients with Chronic Thromboembolic Pulmonary Hypertension by Steven Hopkins, Jillian Hall, Hollie Saunders, Riyaz Bashir, Vladimir Lakhter, Anjali Vaidya, Ahmed Sadek, Paul Forfia, Estefania Oliveros

“…The use of PMI as part of routine pre-operative assessments could improve clinical decision-making in CTEPH patients undergoing surgical or medical intervention.…”
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A web-based platform for optimizing healthcare resource allocation and workload management using agile methodology and WISN theory by Akash Gajanan Prabhune, P S Karpaga Priya, Rohit Chandra, Ankur Thakur, Viany R Srihari, Sachin S Bhat

“…Conclusion PRAYOJN modernizes and enhances WISN-based workforce planning by automating workload calculations, improving data visualization, and supporting real-time decision-making. Its scalability and intuitive interface position it as a valuable tool for optimizing staffing efficiency across diverse healthcare environments.…”
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Preoperative albumin-bilirubin grade combined with sarcopenia predicts long-term outcomes after laparoscopic gastrectomy for advanced gastric cancer by Shuangshuang Hou, Yang Yu, Nanbo Li, Wenjing Yu, Zhiyuan Dai, He Li, Lianyi Guo, Jiajun Yin, Ju Wu

“…Preoperative risk stratification using s-ALBI may help guide personalized treatment plans and optimize therapeutic decision-making.…”
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Adaptive crop switching for irrigated agriculture in response to climate change in the Western U.S. by Shahryar Fazli, Wenzhao Li, Surendra Maharjan, Rejoice Thomas, Aqil Tariq, Hesham El-Askary

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Predictive value of anthropometric indices for incident of dyslipidemia: a large population-based study by Somayeh Ghiasi Hafezi, Atena Ghasemabadi, Negar Soleimani, Maryam Allahyari, Mina Moradi, Amin Mansoori, Rana Kolahi Ahari, Mark Ghamsary, Gordon Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan

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Prediction of 1-year post-operative mortality in elderly patients with fragility hip fractures in China: evaluation of risk prediction models by Qiyuan Lu, Mengmeng Chen, Houfu Ling

“…Risk stratification analysis revealed SHiPS as the most precise classification system.ConclusionASAgeCoGeCC score, NHFS and Holt et al.showed acceptable predictive performance, where the first two are applicable to clinical rapid decision-making, while NHFS has been extensively external validated. …”
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A nomogram for predicting early thrombolytic efficacy in stroke patients by Chen Lou, Dongjuan Xu

“…The model’s discriminatory capacity was assessed by computing the area under the curve. In addition, the model’s calibration analysis and decision curve analysis were performed.ResultsUsing multivariate logistic regression and LASSO regression techniques, five variables were chosen. …”
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Applying Machine Learning for Sustainable Farm Management: Integrating Crop Recommendations and Disease Identification by P. Ankit Krishna, Neelamadhab Padhy, Archana Patnaik

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Global trends and research frontiers on machine learning in sustainable animal production in times of climate change: Bibliometric analysis aimed at insights and orientations for t... by Robson Mateus Freitas Silveira, Concepta Mcmanus, Iran José Oliveira da Siva

“…The present study provides new insights that were not previously fully captured or assessed in other reviews. Finally, improving livestock production sustainability is particularly important, because a significant part of the projected increases in the global food demand is expected to come from livestock, and artificial intelligence will certainly help producers in decision-making processes, mainly in times of climate change.…”
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Conservative Treatment of Sesamoiditis: A Systematic Literature Review with Individual-Level Pooled Data Analysis by Carlo Biz, Maria Chiara Maccarone, Valentina Bonso, Elisa Belluzzi, Stefano Masiero, Nicola Luigi Bragazzi, Pietro Ruggieri

“…Standardised treatment protocols and high-quality prospective studies are needed to improve clinical decision-making and optimise non-surgical management.…”
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Evaluating Readiness and Acceptance of Artificial Intelligence Adoption Among Elementary School Teachers by Erlan Darmawan, Titik Khawa Abdul Rahman, Nani Ronsani Thamrin

“…Artificial Intelligence (AI) is a computer system that mimics the human brain's ability to process information and make decisions. …”
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Compiling Investment Attractiveness Rating of the Largest Russian Companies Using Minimax Approach by I. Y. Vygodchikova

“…Integral rating of companies plays a leading role in making investment decisions. Research hypothesis of the minimax approach application and hierarchical data analysis will allow developing an intelligent computerized system that will perform real-time calculations and make recommendations on share distribution of investments of the largest Russian companies using a hierarchical rating procedure and minimax approach.Materials and methods. …”
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Mucosal inflammation predicts response to systemic steroids in immune checkpoint inhibitor colitis by Melissa Lumish, Ryan J. Sullivan, Douglas B. Johnson, Michael Dougan, Anita Giobbie-Hurder, Meghan J Mooradian, Daniel Y Wang, Alexandra Coromilas, Tianqi Chen

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Dataset and multivariate statistical tools for mathematical modeling of water desorption isotherms and infrared spectral properties of cupuassu (Theobroma grandiflorum L.) pulpMend... by Andrés F. Bahamón-Monje, Paola A. García-Rincón, Gentil A. Collazos-Escobar, Claudia M. Amorocho-Cruz, Nelson Gutiérrez-Guzmán

“…This research provides valuable insights for the food industry, supporting informed decision-making in cupuassu pulp processing. By improving food-processing strategies, ensuring product consistency, and optimizing dehydration processes, this dataset contributes to the development of value-added products from cupuassu by-products, promoting sustainability and resource efficiency.…”
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Prediction tool for discharge disposition and 30-day readmission using electronic health records among patients hospitalized for traumatic brain injury by Tianjian Zhou, James E. Graham, Davis Davalos-DeLosh, Amartya K. Maulik, Jessica Edelstein, Amanda L. Hoffman, Haonan Wang, Deana Davalos

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Dynamics of educational activity of students under the influence of digitalisation by D. Yu. Narkhov, E. N. Narkhova, D. V. Shkurin

“…The fixation of qualitative changes in educational activity in non-standard conditions, along with the development of a theoretical basis for the digital educational community of students, is necessary for making qualified managerial decisions.The aim of the present research was to identify the factors and dynamics of students as a digital educational community in the context of self-isolation and online learning.Methodology and research methods. …”
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A Comparison of Approaches for Handling Concept Drifts in Data Processed With Machine Learning by Emanuel Valerio Pereira, Wendley Souza da Silva

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EVOLUTION OF HIGH-FREQUENCY TRADE by Ol'ga A. Grishina, Ruslan R. Iskyandyarov

“…Present day exchange trade using computer algorithm (or high frequency robots) that can make independent trade decisions and function without man’s involvement is becoming quite usual. …”
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Comparison of the application value of contrast-enhanced ultrasound and contrast-enhanced CT in puncture biopsy of peripheral pulmonary lesions by Gang Wang, Ji-cheng Zhang, Zhi-hua Wang, Bo Gou, Xiao-lin Liu, Gang Liu, Jian Liu

“…ObjectiveThis study assesses the clinical utility of contrast - enhanced ultrasound (CEUS) in comparison to contrast - enhanced computed tomography (CECT) in the context of peripheral lung mass biopsy. …”
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