NORMATIVE-COMPETENCE MODEL OF THE TEACHER OF THE ADDITIONAL PROFESSIONAL EDUCATION SYSTEM by G. A. Ignatieva, O. V. Tulupova

“…The methods of the qualification and dispersive analysis, expert estimations, participant observation, stratified sampling were used to determine the efficiency of the model and diagnostics of professional competences of teachers of additional professional education. …”
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Prompts, privacy, and personalized learning: integrating AI into nursing education—a qualitative study by Mingyan Shen, Yanping Shen, Fangchi Liu, Jiawen Jin

“…However, questions remain regarding the ethical use of AI-generated outputs, data privacy concerns, and limitations in recognizing emotional nuances. …”
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Mapping the research of agricultural green total factor productivity: A bibliometric analysis using VOSviewer by Wei Qianyu, Siti ‘Aisyah Baharudin, Hayyan Nassar Waked

“…(c) Keyword co-occurrence analysis highlights that AGTFP research themes are concentrated on growth, efficiency, AGTFP performance, undesirable outputs, and measurement methods. …”
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AI Chatbots in Philology: A User Experience Case Study of Conversational Interfaces for Content Creation and Instruction by Nikolaos Pellas

“…Students reported confidence in using AI for efficiency and decision-making but desired greater support in evaluating multiple AI-generated outputs. …”
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Disordered-guiding photonic chip enabled high-dimensional light field detection by Zhijuan Gu, Weilun Zhang, Yu Yu, Xinliang Zhang

“…The disordered region introduces complex interference and scattering among polarized components, while the guiding region efficiently collects the outputs to on-chip photodetectors. …”
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An algorithm for independent component analysis using a general class of copula-based dependence criteria by Fatemeh Asadi, Hamzeh Torabi, Hossein Nadeb

“…The efficiency of Independent Component Analysis ($\rm ICA$) algorithms relies heavily on the choice of objective function and optimization algorithms. …”
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Community-based monitoring: shoreline change in Southwest Alaska by Jessica E. Christian, Richard M. Buzard, Katie L. Spellman, Harper L. Baldwin, Reyce C. Bogardus, Jeanette Carlson, Gabe Dunham, Susan Flensburg, Roberta J. T. Glenn, Jacquelyn R. Overbeck, Chris V. Maio

“…Arctic amplification of climate change has resulted in increased coastal hazards impacts to remote rural coastal communities in Alaska where conducting research can be difficult, requiring alternate methods for measuring change. The pilot program, Stakes for Stakeholders, was initially planned to be funded from 2016–2018. …”
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A Research on the Relationship of Social Intelligence and Cultural Intelligence with Leadership Styles by Serap Yalçınyigit, Hakkı Aktaş

“…The research provides guiding outputs for future research and business reflections.…”
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Framework for key benchmarking indicators in hospital information system by Asghar Ehteshami, Ahamad-Reza Raeisi, Maedeh Rashedi, Yasin Sabet Kouhanjani

“…Abstract Introduction Developing key benchmarking indicators (KBIs) for Hospital Information Systems (HIS) has the potential to enhance operational efficiency and effectiveness, resulting in the successful achievement of hospital goals. …”
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AI meets academia: the fire model's vision for enhanced learning by Nancy Mohamed Afifi

“…AI's capacity to generate complex written outputs poses significant challenges to traditional evaluation methods and potentially undermines the development of critical thinking. …”
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A machine learning-based prediction-to-map framework for rapid and accurate spatial flood prediction by Daoyang Bao, Z. George Xue, Matthew Hiatt, Kehui Xu, Courtney K. Harris, Jill C. Trepanier

“…To address these limitations, we developed a Prediction-to-Map (P2M) framework that combines the strengths of both methods. Trained on observed data and numerical model outputs, P2M delivers rapid, accurate spatial flood predictions. …”
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Automated multi-model framework for malaria detection using deep learning and feature fusion by Osama R. Shahin, Hamoud H. Alshammari, Raed N. Alabdali, Ahmed M. Salaheldin, Neven Saleh

“…Comparative analysis highlights the framework’s advancements over existing methods in diagnostic reliability and computational efficiency. …”
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Compositional modeling of solution gas–oil ratio (Rs): a comparative study of tree-based models, neural networks, and equations of state by Aydin Larestani, Sara Sahebalzamani, Abdolhossein Hemmati-Sarapardeh, Ali Naseri

“…However, traditional experimental methods for determining these properties, particularly the solution gas–oil ratio (Rs), are time-intensive and costly. …”
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Evaluating the Effectiveness of Quality Control Measures in Project Management: A Study of Construction Companies in Lusaka by Mwanza Jacob, Chimbomba Kelvin

“…Operationally strong quality control systems decrease the expenses associated with costly project rework and project delays and resource wastage to enhance both budgetary efficiency and schedule performance. The main purpose of this study was to evaluate how well quality control methods perform in construction project oversight at Lusaka-based companies. …”
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A distance-aware approach for reliable out-of-distribution detection of wind turbine gearbox fault diagnosis by Jingxin Zhou, Yao Zhao

“…To address this, we introduce Spectral Normalization and Gaussian Process methods into Res2Net framework to enhance its ability to detect out-of-distribution data. …”
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Self-adaptive spatial-temporal network based on heterogeneous data for air quality prediction by Feng Chang, Liang Ge, Siyu Li, Kunyan Wu, Yaqian Wang

“…Extensive experiments carried out on real-world datasets demonstrate the outstanding performance of our model compared with baselines and state-of-the-art methods.…”
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Planning and Implementation of Active Leakage Control in the Management of Unreported Leakages by Mahmut Fırat, Mustafa Yıldırım

“…As a result, it is thought that the outputs obtained from this study will constitute an important reference especially for practitioners. …”
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The evolving role of programming and LLMs in the development of self-driving laboratories by John R. Kitchin

“…Claude-Light integrates a REST API, a Raspberry Pi-based control system, and an RGB LED with a photometer that measures ten spectral outputs, providing a controlled but realistic experimental environment. …”
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Bridging Machine Learning and Cosmological Simulations: Using Neural Operators to emulate Chemical Evolution by Pelle van de Bor, John Brennan, John A. Regan, Jonathan Mackey

“…We construct and train multiple Neural Operator architectures (DeepONet variants) using a dataset derived from cosmological simulations to optimize accuracy and efficiency. Our results demonstrate that the trained models accurately reproduce Grackle's outputs with an average error of less than 0.6 dex in most cases, though deviations increase in highly dynamic chemical environments. …”
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Controllability and Observability of Heterogeneous Networked Systems With Non-Uniform Node Dimensions and Distinct Inner-Coupling Matrices by Aleena Thomas, Abhijith Ajayakumar, Raju K. George

“…Computational time in floating point operations (flops) of the proposed methods are estimated, which indicates their efficiency on comparison with the classical conditions. …”
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