A prediction model for diabetes complications using the Kokuho Database and its application to public health services in Japan by Shumpei Chiba, Takaaki Itoga, Kazuo Asada, Daisuke Yabe

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Application of Analytic Hierarchy Process and Structural Equation Modeling for Supporting the Decision-Making of Shuttering Preference in Construction Projects by Vu Hong Son Pham, Thuy Dau, Le Tran

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Enhancing the impact of transformational leadership on sustainability through agility and resilience with application of Lewins change model in sustainable manufacturing by Johannes V. Gloria

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Application of Liquid Smoke from Coconut Shell in Tandipang (Dussumeiria Acutta) Smoked Fish To Extend Shelf Life by Dyah Ayu Rakhmayeni, Tatty Yuniarti, Sukarno Sukarno

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Application of Remote Sensing Techniques in Enhancement, Detection, and Slicing of Koopan Lateralized Ultrabasics (South of Bavanat, Fars Province) by Maryam Zurmand, Ahmad Ahmadi Khalaji, Kamal Noori Khankahdani, Zahra Tahmasbi

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Effect of pH of In-Office Bleaching Gels and Timing of Fluoride Gel Application on Microhardness and Surface Morphology of Enamel by Fariba Motevasselian, Hamid Kermanshah, Dorara Dortaj, Frank Lippert

“…VH was measured at T1, T7, and T14. Data were analyzed using repeated measure ANOVA. …”
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Framework development of continuous non-linear Diophantine fuzzy sets and its application to renewable energy source selection by Asaf Khan, Saifullah Khan, Ariana Abdul Rahimzai, Saleem Abdullah

“…Non-linear Diophantine fuzzy sets (N-LDFSs), which are the natural extensions of linear Diophantine fuzzy sets and q-linear Diophantine fuzzy sets, are quite successful in modeling data thanks to their larger domains. However, in an N-LDFS, the MG, NMG and reference parameters (RPs) of an element to a set are given just by a pair of certain numbers from the closed interval [0, 1] that causes a strict modelling. …”
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Application of New Techniques for Fracture-Vug Effictiveness Analysis Based on Micro Resistivity Imaging Logging in the Dengying Formation by MO Jing, XIE Bing, LAI Qiang, WANG Dali, WANG Yue

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Application of Improved Multi-Fractal Trend Removing Wave Model in the Analysis of Multi-Fractal Characteristics of Harmonic Signals by Jiebin Wen

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Effect of bit-size reduced half-precision floating-point format on image pixel characterization for AI applications by J. Jean Jenifer Nesam, S. Sankar Ganesh, Sitharthan Ramachandran

“…Together with the area-power reduction, there is also a progressive reduction in image quality. For any image application, it becomes necessary to monitor the area and power trade-offs related to the amount of bits used to process the raw data. …”
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Personalizing mobile applications for health based on user profiles: A preference matrix from a scoping review. by Laëtitia Gosetto, Gilles Falquet, Fréderic Ehrler

“…The increasing prevalence of health applications (apps) presents opportunities for promoting healthier lifestyles. …”
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Research Trends in the Application of Problem Based Learning Model in chemistry learning in Indonesia: A Systematic Literature Review by Muhammad Habib Ash Shiddiqi, Dyah Purwaningsih, Elma Pujiana

“…The study involved secondary data sourced from the SINTA database for publications between 2015 and 2024. …”
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Determining a Revenue Generating Model that Creates Customer Value by Using a Skip-the-line Application in Romania by Diana-Ioana STEREA

“…The study is based on data and insights regarding the digitalization of the hospitality industry and the problem of waiting time. …”
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Artificial Intelligence in Chronic Disease Management for Aging Populations: A Systematic Review of Machine Learning and NLP Applications by Feng G, Weng F, Lu W, Xu L, Zhu W, Tan M, Weng P

“…The rise of artificial intelligence (AI) technology (eg, machine learning, deep learning, NLP, computer vision) offers possibilities for improving Geriatric Chronic Disease Management, including optimizing the distribution of medical resources, supplementing professional management teams, popularizing health education, optimizing medication management, enhancing psychological support, improving medical insurance efficiency and accuracy, and strengthening family support. However, the application of AI in Geriatric Chronic Disease Management still faces challenges such as the data scarcity, model generalization, clinician adoption, alignment of AI decision-making with clinical guidelines, Integration with existing healthcare systems, privacy and security, user acceptance, ethics and law. …”
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Artificial intelligence in soil microbiome analysis: a potential application in predicting and enhancing soil health—a review by Roberta Pace, Vincenzo Schiano Di Cola, Maurilia Maria Monti, Antonio Affinito, Salvatore Cuomo, Francesco Loreto, Michelina Ruocco

“…We conducted a comprehensive review of the use of Artificial Intelligence (AI) techniques to develop forecasting models based on soil microbiota data able to monitor and predict soil health. We also investigated the potentiality of AI-based Decision Support Systems (DSSs) for improving the use of microorganisms to enhance soil health and fertility. …”
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Application of Behavior-Based Safety to Reduce Unsafe Actions in Preventive Maintenance Work Using the JSA and DO IT Methods by Aura Irsyaf Putri, Muhammad Nur, Misra Hartati, Anwardi, M. Isnaini Hadiyul Umam

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Exploring the Application of NeRF in Enhancing Post-Disaster Response: A Case Study of the Sasebo Landslide in Japan by Jinge Zhang, Yan Du, Yujing Jiang, Sunhao Zhang, Hongbin Chen, Dongqi Shang

“…This study explores the application potential of Neural Radiance Fields (NeRF) technology for rapid post-disaster site modeling and performs a comparative analysis with traditional photogrammetry methods. …”
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Use of Glucose Obtained from Biomass Waste for the Synthesis of Gluconic and Glucaric Acids: Their Production, Application, and Future Prospects by Mariya P. Shcherbakova-Sandu, Eugene P. Meshcheryakov, Semyon A. Gulevich, Ajay K. Kushwaha, Ritunesh Kumar, Akshay K. Sonwane, Sonali Samal, Irina A. Kurzina

“…This review summarized the latest available data on the scope of the application of each product as well as the methods of their production. …”
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Is AI for illiterate farmers? A systematic literature review of AI and machine learning applications and challenges for precision agriculture by Azubuike Erike, Charles Ikerionwu, Augustine Azubogu, Victory Obodoagwu

“…Abstract This study systematically reviews the applications, benefits, and challenges of artificial intelligence (AI) and machine learning (ML) in poultry farming. …”
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A New Regression Model Based on an Extended Inverse Gaussian Distribution with Application to Soybean Processing Plants in Brazil by Julio Cezar Souza Vasconcelos, Denize P. dos Santos, Pâmela Rafaela O.B. Cavallari, Edwin M.M. Ortega, Roberto Vila, Gauss M. Cordeiro, Marco Antônio M. Biaggioni

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