A Comparative Performance Analysis of Locally Deployed Large Language Models Through a Retrieval-Augmented Generation Educational Assistant Application for Textual Data Extraction by Amitabh Mishra, Nagaraju Brahmanapally

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The Relationship between Green Innovation, CO2 Emissions, Gross Domestic Product, and Renewable Energy Supply: A Panel Data Analysis for BRICS Countries and Turkey by Bekir Sami Oğuztürk, Ferhat Özbay

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Accuracy of signs, symptoms and blood tests for diagnosing acute bacterial rhinosinusitis and CT-confirmed acute rhinosinusitis in adults: protocol of an individual patient data me... by Johannes B Reitsma, Mark H Ebell, Morten Lindbaek, Roderick Venekamp, Jens Georg Hansen

“…In addition, we aim to perform internal–external cross-validation procedures.Ethics and dissemination In this IPD meta-analysis, no identifiable patient data will be used. …”
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Implications to basin evolution from the interpretation of superficial and buried geological features from remote sensing and magnetic data sets, Lower and Middle Benue Trough, Nig... by E.Y. Yenne, C. Green, T. Torvela

“…We used high-resolution aeromagnetic data and, Landsat 8 and ASTER data sets to interpret surface and near-surface lithologies, particularly igneous bodies, within the Benue Trough, Nigeria, with the aim of better constraining the basin evolution in time and space. …”
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A machine learning approach to predict positive coronary artery calcium scores in individuals with diabetes: a cross-sectional analysis of ELSA-Brasil baseline data by J.L. Amorim, I.M. Bensenor, A.P. Alencar, A.C. Pereira, A.C. Goulart, P.A. Lotufo, I.S. Santos

“…It is unclear who benefits the most from atherosclerotic cardiovascular disease (ASCVD) screening imaging. This study aimed to identify features associated with positive coronary artery calcium scores (CACS) in individuals with diabetes using machine learning (ML) techniques. …”
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Improving TerraClimate hydroclimatic data accuracy with XGBoost for regions with sparse gauge networks: A case study of the Meknes plateau and the Middle Atlas Causse, Morocco by Hammoud Yassine, Allali Youssef, Saadane Abderrahim

“…These improvements validate this approach in enhancing hydroclimatic data quality in the studied region. In conclusion, this study highlights the potential of satellite products, especially TerraClimate, combined with optimization techniques, for example, the XGBoost algorithm, to address hydroclimatic data shortages in water-stressed regions. …”
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A Study of the Dominant Type of Technique (Controlled, Semicontrolled and Free) of Two English Teachers from a Languages Teaching Program Estudio acerca del tipo de técnica dominan... by Francia del Pilar Gavilán Galindo

“…This article shows the process and emerging results from a study held at a private university in Bogotá, Colombia. It aims at describing and interpreting the dominant kind of language teaching technique: controlled, semicontrolled and free (Brown, 2001) within the context of two first semester English teachers of a languages teaching program. …”
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NLP-Driven Analysis of Pneumothorax Incidence Following Central Venous Catheter Procedures: A Data-Driven Re-Evaluation of Routine Imaging in Value-Based Medicine by Martin Breitwieser, Vanessa Moore, Teresa Wiesner, Florian Wichlas, Christian Deininger

“…With pneumothorax being a key complication of CVC procedures, this research aims to provide evidence-based recommendations for optimizing imaging protocols and minimizing unnecessary imaging risks. …”
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Association of composite dietary antioxidant index and endometriosis risk in reproductive—age women: a cross-sectional study using big data-machine learning approach by Wenxin Chen, Kui Xiao, Chenyu Zhou, Jiajia Cheng, Zixuan Zeng, Fang Zhang

“…However, the precise connection between the composite dietary antioxidant index (CDAI)—a key measure of dietary antioxidants—and EM risk remains unclear. This study aims to explore the relationship between CDAI and EM risk using data from the National Health and Nutrition Examination Survey (NHANES), potentially guiding dietary interventions for EM prevention.MethodsThis study analyzed data from the NHANES spanning 1999 to 2006. …”
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Bidirectional Long Short-Term Memory–Based Detection of Adverse Drug Reaction Posts Using Korean Social Networking Services Data: Deep Learning Approaches by Chung-Chun Lee, Seunghee Lee, Mi-Hwa Song, Jong-Yeup Kim, Suehyun Lee

“…MethodsIn previous studies, ketoprofen, which has a high prescription frequency and, thus, was referred to the most in posts secured from SNS data, was selected as the target drug. Blog posts, café posts, and NAVER Q&A posts from 2005 to 2020 were collected from NAVER, a portal site containing drug-related information, and natural language processing techniques were applied to analyze data written in Korean. …”
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Groundwater estimation and determination of its probable recharge source in the Lower Swat District, Khyber Pakhtunkhwa, Pakistan, using analytical data and multiple machine learni... by Imran Ahmad, Ibrar Ul Haq, Mansoor Ahmad, Iram Gul, Mursaleen Khan, Khushnuma Khushnuma, Ubaid Ullah, Maqsood Ur Rehman, Mohamed Metwaly

“…This study addresses the lack of integrated hydrogeochemical and machine learning approaches in groundwater assessment, particularly in complex mountainous terrains like the Lower Swat District, Pakistan. It aims to identify recharge sources using a combination of analytical data and advanced machine learning (ML) algorithms. …”
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A risk-adjusted and anatomically stratified cohort comparison study of open surgery, endovascular techniques and medical management for juxtarenal aortic aneurysms—the UK COMPlex A... by Rui V Duarte, Carrol Gamble, Claire Taylor, Bruce Campbell, Jonathan R Boyle, Andrew Cook, Srinivasa Rao Vallabhaneni, Colin D Bicknell, Shaneel R Patel, David C Ormesher, Samuel R Smith, Kitty H F Wong, Paul Bevis, John A Brennan, Alastair P Crosher, Murray M Flett, Richard J Jackson, Maciej T Juszczak, Ian M Loftus, Ian M Nordon, Jai V Patel, Kellie Platt, Eftychia-Eirini Psarelli, Peter C Rowlands, John V Smyth, Theodoros Spachos, Leigh Taggart

“…Second, a site-reported data stream regarding quality of life and treatment costs from prospectively recruited patients across England. …”
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Learning-based early detection of post-hepatectomy liver failure using temporal perioperative data: a nationwide multicenter retrospective study in ChinaResearch in context by Kai Wang, Qian Yang, Kang Li, Shanhua Tang, Baoluhe Zhang, Xiangyun Liao, Shunda Du, Wenguang Fu, Zhiwei Li, Huanwei Chen, Haorong Xie, Pengxiang Huang, Jieyuan Li, Qiuting Wang, Haiqing Liu, Zhiwei Huang, Pheng Ann Heng, Xueshuai Wan, Chuanjiang Li, Weixin Si

“…Summary: Background: Post-hepatectomy liver failure (PHLF), defined as acute liver failure following hepatectomy, remains a major complication for postoperative mortality lacking early detection approaches. This study aimed to leverage cutting-edge artificial intelligence (AI) techniques for extensive temporal feature analysis using perioperative data, to advance the detection of PHLF to the first 24 h after surgery. …”
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Digital Mapping of Soil Equivalent Calcium Carbonate Using Landsat 8 Satellite Images and Environmental Data by Machine Learning Models in Badr Watershed, Kurdistan Province by M. Zarinibahador

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Predicting the Acceptance of Informal Learning Technologies: A Case of the TikTok Application by Ahmed Al-Azawei, Ali Alowayr

“…This study, therefore, aims to (1) propose an integrated framework based on the DeLone and McLean information system model, the diffusion theory, the interactivity theory, the intrinsic motivation theory, and the security perceptions, (2) predict the adoption of TikTok as a learning means in an informal educational space, and (3) compare the performance of data mining techniques and SEM in predicting users’ behavioral intention towards TikTok acceptance. …”
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LSTM-based framework for predicting point defect percentage in semiconductor materials using simulated XRD patterns by Mehran Motamedi, Reza Shidpour, Mehdi Ezoji

“…Abstract In this paper, we present a machine learning-based approach that leverages Long Short-Term Memory (LSTM) networks combined with a sliding window technique for feature extraction, aimed at accurately predicting point defect percentages in semiconductor materials based on simulated X-ray Diffraction (XRD) data. …”
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Fairness and Explanations in Entity Resolution: An Overview by Tiago Brasileiro Araujo, Vasilis Efthymiou, Kostas Stefanidis

“…Fairness-aware ER seeks to mitigate bias that may arise from algorithmic decision-making or imbalanced training data, while eXplainable Entity Resolution (XER) aims to enhance transparency and trust in ER. …”
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Exploring housing price dynamics in sustainable cities through a cooperated big data driven machine learning method: case study on a typical city in China by Feng Han, Meiqu Lu, Donghong Qin, Guitao Zheng, Guihong Zeng, Yan Tan, Zhongyang Wu, Haijian Lu, Jun Wang, Yirong Deng, Hui He

“…The findings offer practical implications for policymakers aiming to stabilize housing markets, improve affordability, and guide data-informed infrastructure investments. …”
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Identifying major depressive disorder among US adults living alone using stacked ensemble machine learning algorithms by Zhao Chen, Hao Liu, Yao Zhang, Fei Xing, Jiabao Jiang, Zhou Xiang, Zhou Xiang, Xin Duan, Xin Duan

“…However, there is still no prediction model for MDD specifically designed for adults who live alone.ObjectiveThis study aims to investigate the effectiveness of utilizing personal health data in combination with a stacked ensemble machine learning (SEML) technique to detect MDD among adults living alone, seeking to gain insights into the interaction between personal health data and MDD.MethodsOur data originated from the US National Health and Nutrition Examination Survey (NHANES) spanning 2007 to 2018. …”
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Credit Scoring Prediction Using Deep Learning Models in the Financial Sector by Xi Shi, Dingfen Tang, Yike Yu

“…We confront the issue of class imbalance by applying dynamic re-sampling and weight adjustment techniques, ensuring balanced model performance across varied data segments. …”
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