Yours Truly: A Credibility Framework for Effortless LLM-Powered Fact Checking by Vallidevi Krishnamurthy, Varshini Balaji

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Spatialization of electricity consumption by combining high-resolution nighttime light remote sensing and urban functional zoning information by Siyan Lu, Yue Xiao, Yifan Lu, Jinyao Lin

“…More importantly, urban functional zoning information can be used to distinguish the electricity consumption of various economic sectors at fine scales. …”
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Functional Disability and Psychological Impact in Headache Patients: A Comparative Study Using Conventional Statistics and Machine Learning Analysis by Jong-Ho Kim, Hye-Sook Kim, Jong-Hee Sohn, Sung-Mi Hwang, Jae-Jun Lee, Young-Suk Kwon

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Artificial Intelligence and Artistic Imagination: Revisiting the Cultural Economy of Industrial Revolutions by Octavian-Dragomir Jora, Mihaela Iacob, Vlad I. Roșca, Mihai-Răzvan Nedelcu, Alexandru Florin Preda, Matei-Ștefan Nedef

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Optimizing Edible Sorghum Bowls: Effects of Roasting and Edible Flower Powder Enhancement on Technological, Nutritional, Antioxidant, and Functional Properties by Devatha Manivel, Raajeswari Paramasivam, Swarup Roy

“…The standardized sorghum bowl was analyzed for nutritional value; optical, technological, functional, and mechanical properties; and shelf life, and the results were discussed. …”
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Biomarkers of Suicidal Ideation in Depression: Insights From VMHC Analysis and Machine Learning by Wang X, Liu F, Hu X, Zhang Q, Guan X, Wu J, Long X, Lu Z

“…This study explores differences in interhemispheric connectivity between MDD patients with and without SI, aiming to identify imaging biomarkers for suicide risk.Methods: This study included 48 SI patients and 44 non-SI patients. VMHC values were calculated to assess interhemispheric functional connectivity. …”
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Predicting EHL film thickness parameters by machine learning approaches by Max Marian, Jonas Mursak, Marcel Bartz, Francisco J. Profito, Andreas Rosenkranz, Sandro Wartzack

“…We ultimately demonstrate that artificial neural networks can predict the locally-resolved film thickness values over the contact domain 25-times faster than FE-based EHL simulations (R 2 values above 0.999). …”
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Monitoring of Material consumption for the Production of goods by industrial Enterprises by I. E. Mizikovsky

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Information Systems Quality and Corporate Sustainability: Unpacking the Interplay of Financial Reporting, Artificial Intelligence, and Green Corporate Governance by Nidal Neiroukh, Dilber Çağlar

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Asymmetric reactions of the crude oil and natural gas markets on Vietnamese stock markets by Jassim Aladwani

“…The data were analyzed using vector error correction (VEC) model, impulse response function, variance decomposition test and asymmetric reactions method; the study tries to ascertain the short-term and long-term dynamic relationships between the shocks of the crude oil price and natural gas prices and their effects on the movement of the stock price. …”
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Theoretical Foundations of Digital Content Integrity Expertise by Bobok I.I., Kobozieva A.A.

“… In the context of the rapid development of information technologies, their implementation in the process of functioning of critical infrastructure, in particular energy, of any state is extreme-ly relevant. …”
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How are vineyards management strategies and climate-related conditions affecting economic performance? A case study of Chilean wine grape growers by Carlos Bopp, Roberto Jara-Rojas, Alejandra Engler, Miguel Araya-Alman

“…An interesting contribution of this study is the identification of TVP functions for land, fertilizers, fungicides, other agrochemicals, labor, and age of vines. …”
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Increased Global-Brain Functional Connectivity Is Associated with Dyslipidemia and Cognitive Impairment in First-Episode, Drug-Naive Patients with Bipolar Disorder by Pan Pan, Yan Qiu, Ziwei Teng, Sujuan Li, Jing Huang, Hui Xiang, Hui Tang, Jindong Chen, Chujun Wu, Kun Jin, Bolun Wang, Feng Liu, Haishan Wu, Wenbin Guo

“…Previous researches have demonstrated that abnormal functional connectivity (FC) is associated with the pathophysiology of bipolar disorder (BD). …”
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A risk prediction model for poor joint function recovery after ankle fracture surgery based on interpretable machine learning by Congyang Li, Chenggang Wang, Jiru Zhang, Wenjun Zheng, Jing Shi, Li Li, Xuezhi Shi

“…SHAP analysis showed that functional exercise compliance, combined ligament injury, and open fracture accounted for the largest proportion of SHAP values and were the most important influencing factors.ConclusionThrough evaluation and comparison of the developed models, the lasso-stacking model demonstrated the best performance and is more suitable for predicting joint function recovery after ankle surgery. …”
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Food Supply Chain: A Framework for the Governance of Digital Traceability by Maria Bonaria Lai, Daniele Vergamini, Gianluca Brunori

“…The results show that governance models shape traceability adoption and function. In captive systems (e.g., wine), traceability ensures compliance but limits flexibility, while in modular or relational systems (e.g., pasta and cheese), it fosters product differentiation and decentralized coordination. …”
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Indicators of kidney function in guinea pigs (Cavia porcellus) fed with the inclusion of pisonay (Erythrina edulis) meal of three regrowth ages by Jennefer Vega Cruz, Ruth Ramos-Zuñiga, Ludwing Angel Cárdenas-Villanueva

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Predicting age at first calving of dairy breed calves using whale optimization-based ensemble learning framework by Tewodros Shekure, Hussien Seid Worku, Sudhir Kumar Mohapatra, Tapan Kumar Das

“…First, different pre-trained models developed using support vector regression (SVR), Linear support vector regression (LSVR) and Nu support vector regression (NuSVR) techniques with their default hyperparameter values in which SVR performed best. …”
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Prediction of cholesterol level in patients with myocardial infarction based on medical data mining methods by Cemil Colak, Mehmet C. Colak, Necip Ermis, Nevzat Erdil, Ramazan Ozdemir

“…Correlation based feature selection was applied.Multilayer perceptron (MLP) ANNs and SVM with radial basis function kernel were used for the prediction basedon the selected predictors. …”
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Designing a Business Model in the Tourism Industry of Iran by Amirhossein Samadian, Saeid Ehdaie, kamyar Raissifar

“…The business model describes the company's logic in how to create, deliver and capture value. Value proposition represents a package of services and products that create value for a specific group of customers. …”
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GPU Accelerated Trilateral Filter for MR Image Restoration by Suthir Sriram, Nivethitha Vijayaraj, T. Srilekha, M. Praveena, Thangavel Murugan

“…The restoration of medical images such as MRI scans holds essential value for better diagnosis and improved treatment accuracy. …”
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