Integrated reporting and firm value: moderating role of CEO integrity in the context of GCC countries by Mohammed Saleem Alatawi, Zaidi Mat Daud, Jalila Johari

“…Using secondary data from the firms’ websites, the research applies the system GMM model and dynamic fixed-effect robust standard error model to analyze the data. The findings reveal that IR positively influences firm value. …”
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Analysis of retirees' knowledge return in the supply chain of Isfahan Refinery with a combined approach of interpretive structural modeling and structural equation modeling by Mehran Ziaeian, Somayeh Ahmadzadeh, Abdolrasoul Yazdi

“…In addition, the present study was related to the Isfahan Refinery supply chain, and its results should be generalized with caution to other similar organizations and industries. Practical implications: This research has various implications for the refinery supply chain. …”
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FORECASTING AUTOMOBILE DEMAND AND SALES IN THE NIGERIAN MARKET: A MACHINE LEARNING APPROACH TO URBAN MOBILITY, MARKET COMPETITION, AND POLICY INSIGHTS by Emmanuel Imuede Oyasor

“…Ensemble methods (RF and GB) showed moderate performance, with GB slightly outperforming RF in terms of relative error (MAPE = 0.01). The RegressionTree modelalsoperformed well,balancingaccuracyand interpretability.Thefindingsoffer valuable insights for both policymakers and industry stakeholders in Nigeria, emphasizing the importance of model selection in automotive demand estimation and the strategic implications for infrastructure and investment planning. …”
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Architecture Level Safety Analyses for Safety-Critical Systems by K. S. Kushal, Manju Nanda, J. Jayanthi

“…This helps in validating the system architecture with the detection of the error event in the model and its impact in the operational environment. …”
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To What Extent Does Discounting ‘Hot’ Climate Models Improve the Predictive Skill of Climate Model Ensembles? by Abigail McDonnell, Adam Michael Bauer, Cristian Proistosescu

“…This stands in sharp contrast with the broad regional pattern of error reduction in future temperature projections, though we do find regions where error is not significantly reduced. …”
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Structural Equation Modeling Approaches to Estimating Score Dependability Within Generalizability Theory-Based Univariate, Multivariate, and Bifactor Designs by Walter P. Vispoel, Hyeryung Lee, Tingting Chen

“…Key implications are discussed.…”
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The Emperor’s old clothes: a critical review of circular fashion in gray literature by Talia Hussain, Ksenija Kuzmina, Mikko Koria

“…Existing retail practices and consumer marketing messages are central to circular fashion, while the role of the market in setting prices is ignored. A $460 billion error is revealed, refuting the claim that a circular fashion system provides an opportunity for growth. …”
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Navigating Samarinda's climate: A comparative analysis of rainfall forecasting models by Mislan, Andrea Tri Rian Dani

“…This research provides important implications for developing a warning system for hydrometeorological disasters in Samarinda. …”
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Corporate governance and earnings management in banks: An empirical evidence from India by Sarit Biswas, Mousumi Bhattacharya, Pradip H Sadarangani, Justin Yiqiang Jin

“…The study provides practical implications for investors, managers, regulators and policymakers.…”
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Exploration of Algorithms and Heuristics in Puzzle Playing Activities of Early Childhood by Selvia Dwi Lusiana, Thorik Aziz

“…The findings identify several commonly used algorithmic strategies, such as edge-first, color or image-based grouping, and systematic trial and error. Frequently utilized heuristics include shape-based searching, using images as guides, and eliminating unsuitable options. …”
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The ubiquity of selective attention in the processing of feedback during category learning. by Katerina Dolguikh, Tyrus Tracey, Mark R Blair

“…We find that selective attention to task-relevant information is pervasive throughout feedback processing, suggesting a role for selective attention in memory encoding of category exemplars. We also find that error trials elicit additional stimulus processing during the feedback phase. …”
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Exploring the Adoption of Collaborative Robots for the Preparation of Galenic Formulations by Luigi Gargioni, Daniela Fogli, Pietro Baroni

“…The paper focuses on the application of a human-centered methodology adopted to design PRAISE by involving representative end users (experts in the pharmaceutical sector) from system ideation to its evaluation. Design implications related to AI-enabled EUD for collaborative robots are the main findings of the paper.…”
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The low prevalence effect in fingerprint comparison amongst forensic science trainees and novices. by Bethany Growns, James D Dunn, Rebecca K Helm, Alice Towler, Jeff Kukucka

“…., from different people) fingerprint pairs, people more often misjudge 'non-matching' pairs as 'matches'-an error that can falsely implicate an innocent person for a crime they did not commit. …”
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Effect of Macroeconomic Factors on Economic Growth in Indonesia by Hafidz Zainul Mustofa, Moh. Faizin

“…The analysis used the Vector Error Correction Model (VECM) approach to understand the long-run and short-run relationships. …”
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Navigating Ambiguity: Critiques of Indonesia's Health Law and its Impact on Legal Redress for Medical Malpractice Victims by Mia Amiati, Hamzah Halim, Jady Zaidi Hassim

“…This article critically examines the implications of the 2023 Health Law on victim redress, particularly concerning medical personnel protection and the application of restorative justice in life-threatening medical error cases. …”
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Predicting the unpredicted … brain response: A systematic review of the feature-related visual mismatch negativity (vMMN) and the experimental parameters that affect it. by Alie G Male

“…In this systematic review and meta-analysis, I consider aspects of experimental design that affect the visual mismatch negativity (vMMN)-an electrophysiological (neural) correlate of prediction error in vision that is typically largest between 150 ms and 300 ms in the event-related potential (ERP) at occipito-parietal regions on the scalp. …”
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Estimation of bimodal soil-water characteristics curve under wetting process. by Nura Bello, Alfrendo Satyanaga, Nurly Gofar, Jong Kim

“…Still, due to the high-cost implications, time require, and difficulties associated with measuring SWCC under wetting process, the wetting curve has been continuously neglected. …”
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A Feed-Forward Back-Propagation Neural Network Approach for Integration of Electric Vehicles into Vehicle-to-Grid (V2G) to Predict State of Charge for Lithium-Ion Batteries by Alice Cervellieri

“…Our proposed FFBPN model demonstrates superior performance compared to existing methods from the literature, offering significant implications for future V2G system developments. The comparison between training, validation, and testing phases underscores the model’s validity and precisely identifies the characteristic curves of FFBPN, showcasing its potential to enhance profitability, efficiency, production, energy savings, and minimize environmental impact.…”
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Sovereign Credit Rating Determinants of the EU Countries: The Role of the Euro Area Crisis and Its Legacy by Ewa Stawasz-Grabowska

“…The frequency of data is yearly, and panel error correction model is used as the main research method. …”
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Generalized cue reactivity in rat dopamine neurons after opioids by Collin M. Lehmann, Nora E. Miller, Varun S. Nair, Kauê M. Costa, Geoffrey Schoenbaum, Khaled Moussawi

“…The leading hypothesis is that drug-induced dopamine release represents a persistently positive reward prediction error that causes runaway enhancement of dopamine responses to drug cues, leading to their pathological overvaluation. …”
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