Developing Laterality-Specific Computable Phenotypes from Electronic Health Record Data, Employing Treatment-Warranted Diabetic Macular Edema as a Use Case by Kaili Ding, MBBS, MS, Tracy Z. Lang, BS, Roberta McKean-Cowdin, PhD, Hossein Ameri, MD, PhD, Narsing A. Rao, MD, Brian C. Toy, MD

“…This method was valid across sites with disparate documentation and coding practices. Application of this algorithm could improve the utility of clinical data generated as part of routine care for future investigations of ocular disease prevalence, sequelae, treatment patterns, and costs. …”
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Artificial Intelligence in the Training of Economic Specialists by O. V. Gulina

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The role of LLMs in theory building by Aníbal M. Astobiza

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Kalman filtering assimilated machine learning methods significantly improve the prediction performance of water quality parameters by Zhenyu Gao, Guoqiang Wang, Jinyue Chen, Lei Fang, Shilong Ren, A. Yinglan, Shuping Ji, Ruobing Liu, Qiao Wang

“…These findings provide valuable data and technical support for advancing water pollution prediction and early warning systems, particularly for ecological and environmental departments operating in data-deficient regions.…”
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Leveraging TEMI Transcription Software for Qualitative Analysis in ESL Research by Jala Hashim

“… The purpose of this article is to explore the application of TEMI transcription software (https://www.temi.com/) in qualitative research, specifically within the context of language learning strategies (LLS) among English as a Second Language (ESL) learners. …”
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Support Vector Regression and Beta Distribution for the Modeling of Incumbent Party vote for Presidential Elections by R., Kikawa, M, N. Ngungu, D., Ntirampeba, A., Ssematimba

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Theoretical State and Time-Varying Parameter Estimation for a Susceptible, Infected, Hospitalized, and Immunized Epidemic Model Based on New Hospital Admission and Death Data by Carmen Legarreta, Manuel De la Sen, Santiago Alonso-Quesada

“…However, existing techniques for its estimation are impractical as they rely on typically unavailable data. To address this, a prior analysis of the most frequently reported data during the Coronavirus Disease 2019 (COVID-19) pandemic has been carried out, namely the number of new hospital admissions (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>y</mi><mn>1</mn></msub><mrow><mo>(</mo><mi>t</mi><mo>)</mo></mrow></mrow></semantics></math></inline-formula>) and deaths (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>y</mi><mn>2</mn></msub><mrow><mo>(</mo><mi>t</mi><mo>)</mo></mrow></mrow></semantics></math></inline-formula>). …”
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New Approaches of Stochastic Models to Examine the Vibration Features in Roller Bearings by Saima Bhatti, Asif Ali Shaikh, Asif Mansoor, Murtaza Hussain

“…This study focuses on the collection and analysis of vibration data obtained from roller bearings experiencing various fault conditions. …”
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Implementation of generalized estimating equations and mixed linear models in Python by Kui-Zhuang JIAO, Xu-Xi MA, Xiao-Qian MA, Chao-Yi LIU, Qing ZHANG, Lu MA

“…Objective Explore the implementation of generalized estimation equations (GEE) and mixed linear models (MLM) in longitudinal data analysis using Python software, and expand its application in statistical analysis.Methods GEE and MLM were constructed by Python software to explore the impact of PM2.5 on lung function (forced expiratory volume in1second, FEV1) with an example of environmental epidemiology, and compared with the results of R software.Results With PM2.5 increases of 1 μg/m3, the FEV1 of the subjects decreased by 8 mL after 2 days. …”
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Loan classification using logistic regression by U. I. Behunkou, M. Y. Kovalyov

“…Based on the logistic regression algorithm using historical data on loans issued, the following  metrics are calculated: cost function, Accuracy, Precision, Recall и  score. …”
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Design of Dual-band Antenna based on Near-field Loading Technology by ZHAO Xianchao, ZHANG Honglin, SHEN Bingsong, ZHAO Qiang, REN Wencheng

“…【Objective】The objective of this paper is to address the application requirements for multi-mode and multi-band antennas in data link communications, proposing a dual-frequency antenna based on near-field loading technology.…”
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Seismogenic stress field estimation in the Calabrian Arc region (south Italy) from a Bayesian approach by C. Totaro, B. Orecchio, D. Presti, S. Scolaro, G. Neri

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Modelling Match Outcome in Australian Football: Improved accuracy with large databases by Young C., Luo W., Gastin P., Tran J., Dwyer D.

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The Unfolding Analysis for Symbolic Objects Based on the Example of the External Car Advertisement Evaluation by Artur Zaborski, Marcin Pełka

“…Results: The empirical part presents an application for unfolding symbolic data to evaluate customers’ preferences, where car advertisements are used as the example. …”
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Deleting a Child from the News: “the Right to Be Forgotten” as an Opportunity for Journalistic Ethics by Elif Korap Özel, Şadiye Deniz, Şükran Pakkan

“…Under this right, individuals can control the retention of digital copies of data relating to themselves to a certain extent. …”
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Cryptographic Techniques in Artificial Intelligence Security: A Bibliometric Review by Hamed Taherdoost, Tuan-Vinh Le, Khadija Slimani

“…Blockchain has also emerged as an essential technology for securing AI-driven applications, particularly in data integrity and secure transactions. …”
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Designing Customer Analytics Dashboard in Smart Device Retail Using Power BI by Reza Rahutomo

“…The adoption of data analytics has led to a paradigm shift in business decision-making, moving from intuition-based to data-driven strategies. …”
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Differential privacy and artificial intelligence: potentials, challenges, and future avenues by Yehia Ibrahim Alzoubi, Alok Mishra

“…Abstract Privacy preservation has become an increasingly critical concern in applications where data serves as a cornerstone for decision-making and innovation. …”
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Assessing the precision and consistency of agroview in orchard management: A multi-temporal analysis by Carolina Trentin, Yiannis Ampatzidis

“…This study addresses that gap by conducting a comprehensive evaluation of Agroview, a cloud-based AI-driven application, assessing its performance in analyzing plant-level data, such as inventory, canopy height, area, and leaf density, across two citrus blocks over four distinct data collection dates. …”
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ASCERTAINMENT OF THE EQUIVALENT CIRCUIT PARAMETERS OF THE ASYNCHRONOUS MACHINE by V. S. Safaryan, S. G. Gevorgyan

“…The article considers experimental and analytical determination of the asynchronous machine equivalent-circuit parameters with application of the reference data. Transient processes investigation of the asynchronous machines necessitates the equivalent circuit parameters (resistance impedance, inductances and coefficient of the stator-rotor contours mutual inductance) that help form the transitory-process mathematical simulation model. …”
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