Impacts of climate change on agricultural value added in Ivory Coast by Paul-Alfred Kouakou Kouakou

“…It extends the existing literature on the causal relationship between climate change and agricultural development. Finally, the Vector Error Correction Model (VECM) is used to address this issue. …”
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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

“…This paper proposes a novel multi-scale cascaded registration network based on style transfer that achieves superior performance: up to 67% reduction in mean squared error (from 0.0106 to 0.0068), 9.27% enhancement in normalized cross-correlation, 26% improvement in local normalized cross-correlation, and 8% increase in mutual information compared to state-of-the-art methods. …”
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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

“…Notably, the root mean square error (RMSE) of elevation in steep terrain has been reduced by 4.89 m, which is a significant improvement in the accuracy and precision of the reconstruction. …”
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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

“…Educational researchers could benefit from the utility of ChatGPT in identifying gaps in the literature, generating new ideas and developing hypothesis, devising surveys or rating scales, conducting systematic reviews, eliminating human error in analysis of large datasets as well as drafting and editing scientific manuscripts. …”
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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

“…In contrast, rodents maintain stable place fields and grid fields for over half an hour without vision. Using a simple HD error model, we show analytically that idiothetic path integration (iPI) alone cannot be used to maintain any stable place representation beyond two to three minutes. …”
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Investigating Interaction Dynamics among Nonoil Economic Growth and Its Most Important Determinants: Evidence from Saudi Arabia by Badr Saleh Al-Abdi, Abdallah M. M. Badr, Faisal A. M. Ali, Tawfik M. A. Jabbar, Fahmy Al–Salwi

“…To achieve this, this study utilizes the distributed lag symmetric and asymmetric (ARDL and NARD) approaches to assess the short- and long-term symmetric relationships among these growth variables with nonoil economic growth as well as the stationarity, cointegration, and directionality among variables with the theory of “ceteris paribus” in the error correction model (ECM), and Granger causality framework to analyze time-series data from 1980 to 2020. …”
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Financial technology and economic growth nexus in the East African community states by Chi Aloysius Ngong, Kesuh Jude Thaddeus, Josaphat Uchechukwu Joe Onwumere

“…The findings show bidirectional causality between automated teller machine and economic growth, with unidirectional causation from economic growth to point of sales and internet banking, mobile banking and government effectiveness to economic growth. The error correction term is negatively significant, demonstrating a long-term convergence between Fintech measures and economic growth. …”
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Analyzing the interplay of urbanization, economic development, and seaborne trade: Revealing their connection to urban resilience in Saudi Arabia by AHM Mehbub Anwar, Nourah Alhosain, Yagyavalk Bhatt

“…Subsequently, it employs the Autoregressive Distributed Lag (ARDL) and Error Correction Model (ECM) techniques to unravel short-term and long-term causal dynamics. …”
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A New Approach to Identifying and Analyzing Precipitation Events and Their Typical Lifecycles Over Conterminous United States by Siyu Zhu, Guoqiang Tang, Songkun Yan, Yu Du, Yue Xu, Mofan Zhang, Mengye Chen, Huan Li, Yang Hong

“…Intercomparison results confirm the method's robustness, with most correlation coefficients exceeding 0.5 and most root mean squared errors less than 0.7 mm/hr, between extracted events and simulated life cycles. …”
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