Developing Scientific Writing Skills Instrument Using An Inquiry-Based Approach to Local Wisdom Dilemma Stories for Senior High School Students by Erwin Salpa Riansi, Yuliarty Yuliarty, Ahmad Sulthon, Suhaele Sohnuy

“…The findings of this study have important implications for educational assessment and instructional design. …”
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AI-Powered Precision in Diagnosing Tomato Leaf Diseases by MD Jiabul Hoque, Md. Saiful Islam, Md. Khaliluzzaman

“…Conventional methods, such as visual inspection and microscopic analysis, are typically labor-intensive, subjective, and vulnerable to human error, making them infeasible for extensive monitoring. …”
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Lane number and its impact on commercial motor vehicle crash safety: An econometric perspective by Jaekook Kim, Nabeel Saleem Saad Al-Bdairi, Salvador Hernandez

“…Many studies have addressed crash determinants, but the safety implications of differing numbers of lanes remain insufficiently examined, especially during the highway planning stages. …”
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Navigating the Global Cashew Market: Determinants and Elasticities of Ghana's Exports by Benjamin Addo, Akwasi Mensah-Bonsu

“…These findings have important implications for enhancing export trade for products from developing economies like Ghana's cashew nuts. …”
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Impacts of climate change on agricultural value added in Ivory Coast by Paul-Alfred Kouakou Kouakou

“…This prediction reveals the positive effects of the implications of economic policies in terms of intelligent agriculture. …”
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Unsupervised Multimodal UAV Image Registration via Style Transfer and Cascade Network by Xiaoye Bi, Rongkai Qie, Chengyang Tao, Zhaoxiang Zhang, Yuelei Xu

“…The proposed approach provides a robust solution for cross-modal image registration in dynamic UAV environments, offering significant implications for downstream applications such as target detection, tracking, and surveillance.…”
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Prototyping Applications for Post-Stroke Rehabilitation With Kinesthesic Haptic Technology by Naoya Tojo, Tomoyuki Shimono

“…On average across all patients, the error in the reaching trajectory was reduced to 0.39 times. …”
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Do trade and foreign direct investment contribute to growth? A study of BIMSTEC nations by Vandana Arya, Ravinder Verma, Vijender Pal Saini

“…Design/methodology/approach – Augmented Dickey–Fuller (ADF) and Phillips–Perron (PP) unit root tests were applied to check the stationary of the data while the Johansen cointegration test and Vector Error Correction Model (VECM) was used to analyze long-run and short-run relationships. …”
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Sprains, Strains and Growing Pains: Managing Cognitive Bias to Facilitate Timely Diagnosis in Pediatric Sports Medicine by Parker Scott, Leslie Sim, David Soma, Bo E. Madsen, Bjorg Thorsteinsdottir

“…Background: Diagnostic delay and error represent pervasive problems in healthcare with grave implications for treatment and prognosis. …”
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ChatGPT’s English poems and justifications, adoption driving factors, and strategies to promote responsible usage in English poetry classes by Christina Johanna van Staden

“…Abstract ChatGPT can generate poems; therefore, the implications for English poetry classes must be investigated in more detail. …”
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Development and optimization of pearl millet waste biocomposite ceiling tiles: a waste management approach by Khalid Hussain Ansari, Srikanta Routroy, Rahul Samyal, Shivasheesh Kaushik

“…The developed regression models exhibited predictive R2 value of 96.90% for thermal conductivity and 94.44% for flexural strength and an error margin below 3%, confirming the robustness of the approach. …”
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Implementation of MF block in CNN for advanced REB fault diagnosis by M. Pandiyan, Narendiranath Babu T.

“…Statistical significance tests and error bars validate the robustness of the model’s performance. …”
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Dual‐Transformer Deep Learning Framework for Seasonal Forecasting of Great Lakes Water Levels by Yi Chen, Pengfei Xue

“…It attains a root mean square error of 4–7 cm in predicting lake levels up to 6 months in advance across the lakes. …”
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Enhancing mixing efficiency in multi-impeller tanks through innovative CFD and artificial neural network approaches by Reza Beigzadeh, Saber Soltanian, Yousef Azizpour

“…The ANN model shows strong predictive performance with a mean relative error of 2.45 %, confirming its accuracy for this application. …”
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An enhanced pivot-based neural machine translation for low-resource languages by Danang Arbian Sulistyo, Aji Prasetya Wibawa, Didik Dwi Prasetya, Fadhli Almuíini Ahda

“…The pivot-based technique enhances translation quality, although it possesses limitations, including the risk of error propagation and bias originating from the pivot language. …”
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FTT: A Frequency-Aware Texture Matching Transformer for Digital Bathymetry Model Super-Resolution by Peikun Xiao, Jianping Wu, Yingjie Wang

“…This research holds significant implications for improving the accuracy of DBM SR methods and the usefulness of HR bathymetry products for future marine research.…”
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A Comparative Analysis of the Diffusion of Mobile Technologies in the Visegrad Four Using an ECM Model by Marcin Salamaga

“…To study the impact of specialisation according to foreign direct investments (FDI) located in V4 countries and their export specialisation on the process of innovation diffusion, an error correction model (ECM) estimated for selected industrial processing sectors was used. …”
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The Utility of ChatGPT in Educational Research—Potential Opportunities and Pitfalls by Turgut Karakose

“…The current paper aims to present a succinct overview of the opportunities and challenges of using ChatGPT in educational research based on the anticipations and analysis of scholars from different fields of research. Practical implications – ChatGPT is a double-edged sword with its potential benefits and caveats for scientific research. …”
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The impact of economic freedom on foreign direct investment: a study of selected Southeast Asian economies by Buu Kiem Dang, Minh Duc Trinh

“…The study employs various panel data estimation methods, including fixed-effects model (FEM), random-effects model (REM), generalized least squares (GLS) and the Driscoll–Kraay standard error method to operationalize our research objectives. …”
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Maintaining a cognitive map in darkness: the need to fuse boundary knowledge with path integration. by Allen Cheung, David Ball, Michael Milford, Gordon Wyeth, Janet Wiles

“…We discuss our findings in light of current theories of animal navigation and neuronal computation, and elaborate on their implications and significance for the design, analysis and interpretation of experiments.…”
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