Early maladaptive schemas from child maltreatment in depression and psychotherapeutic remediation: a predictive coding framework by Gita Ramamurthy, Alan Chen

“…Discrepancy between predicted versus actual experience produces a “prediction error.” Exposure to prediction errors considered more certain than the predictions of a schema prompts the hippocampus to update and revise the schema. …”
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The role of artificial intelligence in vascular care by Nehaar Nimmagadda, BS, Edouard Aboian, MD, Sharon Kiang, MD, Uwe Fischer, MD

“…Machine learning models have improved workflow efficiency, reduced diagnostic errors, and enabled early identification of vascular pathology. …”
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Uncertainty Impact on Aggregator Performance for Peak Shaving by Ismail Arafat, Eduardo Castillo Guerra, Julian Meng

“…A metric for aggregator reserved capacity loss is introduced, giving insight to the detrimental effects of forecasting errors on peak shaving efficacy, encompassing performance, cost, and temporal implications. …”
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Analysis of Precipitation Totals Based on Radar and Rain Gauge Data by Karol Dzwonkowski, Ireneusz Winnicki, Sławomir Pietrek, Jolanta Siewert

“…However, empirical Z–R relationships often introduce considerable uncertainty, making the correction of rainfall estimation errors a key challenge in remote-sensing-based applications. …”
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Clinical Features and Body Composition in Men with Hormone-Sensitive Metastatic Prostate Cancer: A Pilot Study Examining Differences by Race by Patricia M. Sheean, Paula O’Connor, Cara Joyce, Vasilios Vasilopoulos, Ami Badami, Melinda Stolley

“…Because of the potential for Type II errors in this pilot, future studies should seek to further evaluate the implications of body composition on outcomes. …”
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The Impact of Cloud Versus Local Infrastructure on Automatic IoT-Driven Hydroponic Systems by Cosmina-Mihaela Rosca, Adrian Stancu, Marian Popescu

“…The limitations of this research are associated with the exclusion of human errors and cybernetics simulations from the analysis. …”
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The Role of Visual Information Quantity in Fine Motor Performance by Giulia Panconi, Vincenzo Sorgente, Sara Guarducci, Riccardo Bravi, Diego Minciacchi

“…Motor performance metrics, including absolute error, time of execution, speed, smoothness, and pressure, were analyzed. …”
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The Influence of Selected Parameters of Recycled Polyvinyl Butyral on the Sustainable Filament Extrusion Process by Matúš Martiček, Rebeka Tauberová, Jakub Kaščak, Radoslav Vandžura, Enes Sukić, Lucia Knapčíková

“…As a result of identifying errors, optimizing the process, and eliminating the resulting shortcomings, a fiber made of PVB material with a diameter of 1.75 mm (±0.06 mm) was created that can be used in most FDM devices. …”
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Do board characteristics matter in the relationship between intellectual capital efficiency and firm value? Evidence from the Nigerian oil and gas downstream sector by Ahmed Jinjiri Bala, Aminu Hassan, Muhammad Liman Muhammad

“…Research limitations/implications The research relies on 17-year panel data for eight downstream-sector oil and gas companies. …”
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Process-based modeling framework for sustainable irrigation management at the regional scale: integrating rice production, water use, and greenhouse gas emissions by Y. Bo, H. Liang, T. Li, F. Zhou, F. Zhou, F. Zhou

“…The advancing framework also has implications for other process-based modeling improvement efforts.…”
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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

“…This work lays a foundation for analyzing climate‐scale precipitation lifecycle changes, improving our understanding of precipitation dynamics and their implications for climate variability.…”
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A mixed-method study on awareness, haemoglobin phenotype result accuracy and sickle cell knowledge among parents of children with sickle cell disease in ibadan, Nigeria by Adeniyi Abraham Adesola, David Mobolaji Akoki, Joshua Simpa Lawal, Abigail Olawumi Oyedokun, Oluwatomisin Esther Agboola, Anuoluwapo Agnes Babawale, Biobele Jotham Brown

“…Abstract Introduction Nigeria bears the highest global burden of sickle cell disease (SCD), with significant implications for public health infrastructure and healthcare delivery. …”
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Socioeconomic status and sleep duration among a representative, cross-sectional sample of US adults by Sarah Wetzel, Usama Bilal

“…Lower SES correlates with increased prevalence of insufficient sleep duration, which has implications for the overall wellbeing of US adults with lower SES. …”
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Appointment of Four Judges in Fāṭimid Egypt in 525/1131, A New Interpretation by İrfan İnce

“…Subsequently, I examine Allouche’s method of using the sources, highlight significant gaps and errors in his source analysis, and suggest revisions for his evaluation of the main questions he tried to answer.…”
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Unraveling the Scale Dependency of SIF-Based Phenology: Amplified Trends and Climate Responses by Xiufeng Chen, Yanbin Yuan, Tao Xiong, Sicong He, Heng Dong

“…Our results showed that the 1-km resolution SIF had a significant advantage over the 5-km and 50-km resolution SIFs in terms of consistency with the extracted phenology results from the Gross Primary Productivity (GPP) sites, with mean absolute errors (MAEs) of 4.48 and 15.49 days for SOS and EOS, respectively. …”
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A Guideline for the Evolution of Quantitative Accounting Research in Iran: Shifting from Local to International Scientific Patterns by Fakhroddin MohammadRezaei

“…Attention is also given to measurement errors in the interest variables of the study. Control variables are categorized into “good” (correlated) and “bad” (colliders, homogeneous construct, high measurement error). …”
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Analysis of Seismic Ionospheric Effects and Prediction of TEC During Earthquakes Occurred in Indonesia Based on GPS Data by R. Mukesh, Sarat C. Dass, M. Vijay, S. Kiruthiga, Vijanth Sagayan Asirvadam

“…Additionally, the average sMAPE values, ranging from 0.11 to 0.21, demonstrate the models’ effectiveness in minimizing percentage-based errors. While variations exist across different earthquakes, these average metrics collectively suggest promising predicting capabilities.…”
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Exploring the effectiveness of virtual reality-based training for sustainable health and occupational safety in industry 4.0 by Yousef Qawqzeh, Ata Al Shraah, Ali Rizwan, Manuel Sánchez-Chero, Leandro Alonso Vallejos More, Mohammad Shabaz

“…The research primarily focuses on how VR-based training can enhance the sustainability of occupational safety for industrial workers, thereby reducing the likelihood of human errors and industrial accidents. A quasi-experimental design was employed in the current study, with 200 participants divided into two groups: intervention and control. …”
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Evidential deep learning-based drug-target interaction prediction by Yanpeng Zhao, Yuting Xing, Yixin Zhang, Yifei Wang, Mengxuan Wan, Duoyun Yi, Chengkun Wu, Shangze Li, Huiyan Xu, Hongyang Zhang, Ziyi Liu, Guowei Zhou, Mengfan Li, Xuanze Wang, Zhengshan Chen, Ruijiang Li, Lianlian Wu, Dongsheng Zhao, Peng Zan, Song He, Xiaochen Bo

“…These results underscore the potential of evidential deep learning as a robust tool for uncertainty quantification in DTI prediction and its broader implications for accelerating drug discovery.…”
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Exploring the role of self-led debriefings within simulation-based education: time to challenge the status quo? by Prashant Kumar, Neil Malcolm Harrison, Katy McAleer, Ibraaheem Khan, Susan Geraldine Somerville

“…Careful consideration and due diligence must go into the design and implementation of SLDs to augment the advantages of this debriefing format, such as enhancing flexibility and learner autonomy, whilst mitigating potential risks, such as reinforcing errors and biases or causing psychological harm. In situations where resources for facilitator-led debriefings (FLDs) are limited, simulation educators should recognise SLDs as a potential avenue to explore in their local contexts. …”
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