Achieving National Food Security in Sub‐Saharan African Countries: The Role of Foreign Agricultural Aid by Mehmet Balcilar, Godwin Olasehinde‐Williams, Berkan Tokar

“…Coefficients from the fixed effects and random effects with Driscoll–Kraay standard errors are also reported. Additionally, causal linkages between foreign agricultural aid and food security are examined through panel causality testing with bootstrapping. …”
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Does board diversity influence corporate SDG disclosure in an emerging economy? by Eko B. Santoso, Maria A.E. Marlina, Auditia Setiobudi

“…The hypothesis was tested using ordinary least squares with fixed effects and robust standard errors. Findings/results: The results indicate that overall board diversity significantly impacts the disclosure of SDGs. …”
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Green growth dynamics: unraveling the complex role of financial development and natural resources in shaping renewable energy in Sub-Saharan Africa by Alhasan Osman, Mohd Afjal, Majed Alharthi, Mohamed Elheddad, Nassima Djellouli, Zhang He

“…Employing an array of analytical techniques, including panel-corrected standard errors (PCSE), fixed effects, random effects models, and panel-fixed quantile regression, we delve into the nuanced relationships among these critical variables. …”
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Exploring the dual relationship between fintech and financial inclusion in developing countries and their impact on economic growth: Supplement or substitute? by Chadi Azmeh, Marwan Al-Raeei

“…Employing a robust panel regression methodology enhanced by Panel-Corrected Standard Errors (PCSE) and Feasible Generalized Least Squares (FGLS) techniques, this research analyzes an extensive dataset comprising 108 countries categorized into low, lower-middle, and upper-middle income levels across four pivotal years (2011, 2014, 2017, and 2021). …”
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A Mini Review on the Effects of Experimental Design, Including Variations in Participant Baseline Performance, When Testing the Efficacy of Polyphenol Consumption to Enhance Mood a... by Duaa Altuwairki, Kirsten Brandt

“…Also, the frequent absence of primary outcome identification and other indications of a less cautious approach to statistical analyses may have contributed to instances of type 1 errors. In conclusion, new researchers should use well-validated assessment tools, study populations with a modest baseline performance, and predefined appropriate statistical procedures to minimize irreproducible outcome variations.…”
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The drivers of export product diversification in China: does natural resource endowments matter? by Jabbar Ul-Haq, Hubert Visas, Anatolijs Krivins, Rita Remeikienė, Qazi Muhammad Adnan Hye

“…The results of the Fixed Effect-Driscoll-Kraay standard errors (FE-DKSE) indicate a positive and significant relationship between NRE and EPD. …”
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Workers, Firms and Task Heterogeneity in International Trade Analysis: An Example of Wage Effects of Trade Within GVC by Aleksandra Parteka, Joanna Wolszczak-Derlacz

“…We employ econometric modeling with instrumental variable (addressing the endogeneity between trade and wages) and estimated through weighted regression with cluster-robust standard errors. Findings: Controlling for individual workers and job characteristics, we find the negative correlation between FVA and wages. …”
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Emotional dimensions of feedback: How AI and human responses shape ESL learning outcomes by Amin Shahini

“…These findings underscore the importance of addressing emotional dimensions in feedback practices, suggesting that optimal language learning outcomes arise not merely from the cognitive correction of errors but also from the emotional resonance that feedback generates. …”
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Measurement of User Satisfaction of ELSIMIL Application in Stunting Prevention in Indonesia using EUCS Method by M. Zacky, Eki Saputra

“…However, during the implementation of the use of the ELSIMIL application, there are many problems faced by the family assistance team and prospective brides, one of which is the lack of knowledge of prospective brides in running the ELSIMIL application, for example: during the registration of bride and groom data, there are still many errors in inputting data so that the results issued in the form of an ELSIMIL certificate do not match the condition of the prospective bride and groom. …”
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A Two-Stage Sequential Framework for Traffic Accident Post-Impact Prediction Utilizing Real-Time Traffic, Weather, and Accident Data by Amirhossein Abdi, Seyedehsan Seyedabrishami, Steve O’Hern

“…The findings have practical implications for real-time traffic management of accident events. …”
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Influence of Viscous Effects on Mooring Buoy Motion by Yunmiao Li, Jian Zhou, Heping Wang, Chenxu Wang

“…They can provide a foundation for addressing more applied problems of data error-correcting and trajectory predictions.…”
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N-Beats architecture for explainable forecasting of multi-dimensional poultry data. by Baljinder Kaur, Manik Rakhra, Nonita Sharma, Deepak Prashar, Leo Mrsic, Arfat Ahmad Khan, Seifedine Kadry

“…Experimental results demonstrate that N-BEATS outperforms conventional deep learning models, including LSTM, GRU, RNN, and CNN, across various error metrics, achieving MAE of 0.172, RMSE of 0.313, MSLE of 0.042, R-squared of 0.034, and RMSLE of 0.204. …”
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Text2Layout: Layout Generation From Text Representation Using Transformer by Haruka Takahashi, Shigeru Kuriyama

“…Layout-based synthesis is an alternative method enabling users to control detailed composition directly to avoid the trial-and-error often required in prompt-based editing. This paper proposes a layout generation from text instead of generating images directly. …”
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Maize quality detection based on MConv-SwinT high-precision model. by Ning Zhang, Yuanqi Chen, Enxu Zhang, Ziyang Liu, Jie Yue

“…The traditional method of corn quality detection relies heavily on the subjective judgment of inspectors and suffers from a high error rate. To address these issues, this study employs the Swin Transformer as an enhanced base model, integrating machine vision and deep learning techniques for corn quality assessment. …”
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Commentary on “Hydroxychloroquine and azithromycin as a treatment of COVID-19: results of an open label non-randomized clinical trial” by Gautret et al by Mondher Toumi, Samuel Aballea

“…We provide a scientific critical review of the Gautret et al. publication, put the results in the context of the current knowledge, provide an evaluation of the validity of the results (from a methodologic perspective), and discuss public health implications. The study has a number of limitations, including small sample size, lack of comparability between patients in active treatment and control arms, lack of blinding, use of interim analyses without controlling for the risk of type 1 error, use of analysis in the per-protocol population instead of the intention-to-treat population, and inconsistencies between the study protocol and article. …”
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Optimizing Poisson-Lindley Parameter Estimation: LQM and Reliability Analysis Applied to Guinea Pig Survival Data by Sameera Othman

“… The main objective of this work is to estimate the scale parameter of the Poisson Lindley distribution by means of multiple approaches, such as Poisson Linear Quantile-Moment and Maximum Likelihood. Based on mean square error criteria(MSE), Akaike information criterion (AIC), and Bayesian information criterion (BIC), Linear Quantile-Moment is the most efficient estimator among these techniques. …”
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Petroleum Profit and Excise Duties Taxes as Determinants of Economic Development in Nigeria by Edesiri Okoro

“…Data obtained were analyzed using autoregressive distributed lag and error correction mechanism statistical tools.  Findings indicated that while petroleum profit tax significantly negatively determines Nigerian economic development (gross domestic product per capita), excise duties tax significantly positively determines Nigerian economic development (gross domestic product per capita).  …”
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Investigating EFL children’s task motivation concerning the use of models as written corrective feedback by María Luquin, María del Pilar García Mayo

“…Based on these findings, pedagogical implications will be discussed.…”
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The relationship between artificial intelligence and low-skilled employment in South Africa by Fiyinfoluwa Giwa, Nicholas Ngepah

“…Employing the Vector Error Correction Model (VECM) approach from 2012Q1 to 2021Q4, the study's findings reveal a significant negative correlation between artificial intelligence and low-skilled employment in the long run. …”
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Selected Macroeconomic Variables and Stock Market Movements: Empirical evidence from Thailand by Joseph Ato Forson, Jakkaphong Janrattanagul

“…Furthermore, in non-equilibrium situations, the error correction mechanism suggests that the consumer price index, industrial production index and money supply each contribute in some way to restore equilibrium. …”
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