Observing Array Designed for Improving the Short‐Term Prediction of Kuroshio Extension State Transition Processes by Yu Geng, Qiang Wang, Hong‐Li Ren, Bo Dan, Stefano Pierini, Hui Zhang

“…The removal of initial errors on this array results in the mean prediction improvements of about 9.2% and 22.5% for KE transition processes from the low‐ to the high‐energy state and from the high‐ to the low‐energy state, respectively.…”
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A deep learning approach: Physics-informed neural networks for solving the 2D nonlinear Sine–Gordon equation by Alemayehu Tamirie Deresse, Tamirat Temesgen Dufera

“…We gave the theoretical error bounds of the proposed approach in approximating the NLSGE. …”
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Revolutionizing Management Accounting: The Role of Artificial Intelligence in Predictive Analytics, Automated Reporting, and Decision-Making by Milos Pavlovic, Cedomir Gligoric, Filip Zdravkovic, Danijela Pavlovic

“…AI-powered automated reporting improves efficiency and minimizes errors, while AI-based decision support systems deliver real-time insights and detect complex patterns, resulting in more effective strategic decisions. …”
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Impact of digitization on educational management: Results of the introduction of a learning management system in a traditional school context by Alex Pacheco, Renato Yupanqui, Diana Mogrovejo, Joel Garay, Yrene Uribe-Hernández

“…These findings contribute to the state of the art by providing empirical evidence of how the implementation of an LMS can transform educational management and optimize teaching processes in similar contexts, offering practical implications for institutions seeking to adapt to emerging digital environments.…”
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Interpretation of digital imagery to estimate juvenile stand attributes in managed boreal stands, density, stocking and height by Douglas E.B. Reid, Jevon Hagens

“…However, INT underestimated deciduous tree density and stocking and failed to distinguish spruce from balsam fir or count white birch saplings. These errors have implications for determination of species composition from INT of leaf-off imagery. …”
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Reliability and validity of the German version of the Forensic Restrictiveness Questionnaire by Peggy Walde, Peggy Walde, Birgit Angela Völlm

“…Possible reasons include an underpowered sample size and possible measurement errors. Implications for future research are discussed.…”
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IQA Vision Transformed: A Survey of Transformer Architectures in Perceptual Image Quality Assessment by Mobeen Ur Rehman, Imran Fareed Nizami, Farman Ullah, Irfan Hussain

“…These advancements promise to enhance perceptual quality assessment, with substantial implications for industries such as medical imaging, multimedia applications, and beyond. …”
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Optimized breast cancer diagnosis using self-adaptive quantum metaheuristic feature selection by Alok Kumar Shukla, Shubhra Dwivedi, Deepak Singh, Sunil Kumar Singh, Diwakar Tripathi, Ram Kishan Dewangan

“…To prevent diagnostic errors with hostile implications for patient health, in this study, we develop a new evolutionary method called SeQTLBOGA that incorporates the learner quantization before the search capability of the feature space to prevent premature falls into the local optima. …”
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A unified model of heading and path perception in primate MSTd. by Oliver W Layton, N Andrew Browning

“…This has far-reaching implications for the interpretation of studies that assume that optic flow is, and should be, represented as an instantaneous vector field. …”
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Benchmarking and improving algorithms for attributing satellite-observed contrails to flights by A. Sarna, V. Meijer, R. Chevallier, A. Duncan, K. McConnaughay, S. Geraedts, K. McCloskey

“…We also introduce a novel, highly scalable contrail-to-flight attribution algorithm that leverages the characteristic compounding of error induced by simulating contrail advection using numerical weather models. …”
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Deep neural network approach integrated with reinforcement learning for forecasting exchange rates using time series data and influential factors by T. Soni Madhulatha, Dr. Md. Atheeq Sultan Ghori

“…These quantitative achievements demonstrate the model’s power and robustness in minimizing forecast errors. The model proposed in this study has significant implications for financial forecasting, improving the decision-making capabilities of traders, investors, and policy-makers. …”
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ACT-FRCNN: Progress Towards Transformer-Based Object Detection by Sukana Zulfqar, Zenab Elgamal, Muhammad Azam Zia, Abdul Razzaq, Sami Ullah, Hussain Dawood

“…The results indicate that ACT-FRCNN reduces over-detection errors and improves the detection of large objects. …”
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A critical analysis of Purnomo and colleagues’ interpretation in Matthew 6:9–13 by Harman Z. Laia, Sri Binar

“…This study aimed to evaluate the validity of Purnomo et al.’s research by focussing on their interpretation of the aorist tense in imperative and/or subjunctive verbs, research methodology, use of literature, critique of the LAI translation and theological implications. A comprehensive review of literature and exegesis was conducted to analyse the grammatical, linguistic, methodological and theological aspects of the text. …”
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Perceived barriers to timely diagnosis among Iranian women diagnosed with advanced breast cancer: a qualitative study by Reza Negarandeh, Marziyeh Lashkari, Rebecca Lehto, Maryam Janatolmakan

“…Study findings have implications for patient education, healthcare quality, and enhancement of communication between providers and patients for delayed diagnosis prevention in respective treatment settings.…”
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Numerical Analysis of Pressure Drops in Single-Phase Flow Through Channels of Brazed Plate Heat Exchangers with Dimpled Corrugated Plates by Lorenzo Giunti, Francesco Giacomelli, Urban Močnik, Giacomo Villi, Adriano Milazzo, Lorenzo Talluri

“…The findings indicate that the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>k</mi><mo>−</mo><mi>ε</mi></mrow></semantics></math></inline-formula> realizable turbulence model with enhanced wall treatment offers superior accuracy in predicting pressure drops, with errors within ±4.4%. Additionally, leveraging the information derived from CFD, a strategy to estimate contributions from different channel sections without a direct reliance on those simulations was developed, offering practical implications for plate design.…”
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Nexus of regional integration, socioeconomic determinants and sustainable development in belt and road initiative countries. by Atta Ullah, Chen Pinglu, Saif Ullah, Shujahat Haider Hashmi

“…Driscoll-Kraay standard-errors regression confirmed and validated the two-step System-GMM results. …”
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Trust in the machine: How contextual factors and personality traits shape algorithm aversion and collaboration by Vinícius Ferraz, Leon Houf, Thomas Pitz, Christiane Schwieren, Jörn Sickmann

“…Additionally, female participants reacted more strongly to algorithm errors. Increased delegation rates improved algorithm accuracy. …”
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A Hybrid AI Framework for Enhanced Stock Movement Prediction: Integrating ARIMA, RNN, and LightGBM Models by Adel Alarbi, Wagdi Khalifa, Ahmad Alzubi

“…The findings emphasize AR-ERLM’s potential to enhance predictive accuracy, mitigating overfitting and reducing computational overhead. These implications are crucial for financial institutions and investors seeking reliable tools for risk assessment and decision-making. …”
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Deep learning-based semantic segmentation with novel navigation line extraction for autonomous agricultural robots by Chijioke Leonard Nkwocha, Ning Wang

“…Beyond its technical contributions, this study offers practical implications for real-world deployment, ensuring reliable operation in dynamic agricultural environments. …”
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From single to multiple assessments in a foundational mathematics course for engineering students: what do we gain? by Yusuf Feyisara Zakariya, Yusuf Feyisara Zakariya, Morten Tellenes Berg, Thomas Gjesteland, Ramatu Ematum Umahaba, Mukhtar Oluwafemi Abanikannda

“…The findings have implications for rethinking assessment practices in STEM education and offer insights into how digital assessments can mitigate the challenges students face in foundational courses.…”
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