A probabilistic wind power forecasting model considering power error correlation by CHEN Wenjin, WANG Xiaozhong, ZHANG Si, GAN Wen, SHEN Chengliang, GU Weikang, QIU Jian

“…First， a wind power point forecasting model is developed using prompt learning to predict the trends in wind power. Subsequently， a copula is employed to analyze the correlation between wind power forecasting and forecasting errors， enabling the establishment of probability density functions for forecasting errors corresponding to each forecasting value. …”
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Inner–Outer Loop Intelligent Morphology Optimization and Pursuit–Evasion Control for Space Modular Robot by Wenwei Luo, Ling Meng, Fei Feng, Pengyu Guo, Bo Li

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Consequences of an Analysis Using Biblical Analogies for Automated Vehicle Control Design by Balázs NÉMETH

“…The paper proposes an analysis of learning-based approaches for automated vehicle control systems from an ethical viewpoint. …”
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Intuitive to Strategic Translanguaging: Insights From Vietnamese EFL Classrooms by Ngo Cong-Lem

“…The findings highlight diverse functions of translanguaging, including checking comprehension, emphasizing content, and reducing English-speaking anxiety. …”
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La Società Italiana di Educazione Motoria e Sportiva: neurodidattica e ricerca nelle scienze motorie by Francesco Casolo

“…The most important field of research developed by the SIEMeS concerns the neurodidactics of motor activities, which represents a well-defined and promising area within physical training and sport sciences; nowadays, neurodidactics allows us to use scientific evidences regarding the functioning of the brain in order to optimize the traditional teaching-learning process. …”
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Using Low-Code Technology to Develop Tasks in an Interactive Testing System by Andrey Kraev, Svetlana Filippova

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Naturalness indicators of forests in Southern Sweden derived from the canopy height model by Marco L. Della Vedova, Mattias Wahde

“…They are not only the result of an ecosystem’s ability to maintain its inherent ecological processes, structures, and functions but also a reflection of human disturbance. …”
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Designing a robust method to improve virtual inertia control performance in islanded microgrid by Farhad Amiri

“…Power-electronic converters play a crucial role in the functioning of microgrids. However, these converters, characterized by their low inertia, present a significant challenge to maintaining a consistent frequency in islanded microgrids. …”
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Not Everyone Will Be Taken into the Future? The Role of Forecasting in International Relations Theory by I. А. Istomin

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THE EFFECT OF THERAPEUTIC RIDING ON SOME MOTOR SKILLS IN CHILDREN WITH ASPERGER'S SYNDROME by N. Gencheva, D. Stefanova, M. Angelcheva

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Exploring the EEG representation of English listening comprehension under hypoxic conditions by Yanhui Song, Ye Yu

“…IntroductionUnderstanding the impact of hypoxic conditions on cognitive functions, including English listening comprehension, has garnered increasing attention due to its implications for high-altitude education and cognitive resilience. …”
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Rolling Bearing Fault Diagnosis Based on SCNN and Optimized HKELM by Yulin Wang, Xianjun Du

“…Subsequently, an HKELM classifier with multiple kernel functions was constructed. Key parameters of the HKELM were dynamically adjusted using a novel optimization algorithm, significantly enhancing fault diagnosis accuracy and system stability. …”
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Humans may not have a uniquely enhanced sequence memory: sequence discrimination is facilitated by causal–logical framing in humans and chimpanzees by Eva Reindl, Amanda M. Seed, Robert A. Barton, Topaz Francis-Costa, Rachel L. Kendal

“…Humans have been suggested to possess uniquely enhanced memory for sequences, based on sequence discrimination learning (SDL) tasks involving arbitrarily ordered sequences with no functional connection to outcomes. …”
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LayerFold: A Python library to reduce the depth of neural networks by Giommaria Pilo, Nour Hezbri, André Pereira e Ferreira, Victor Quétu, Enzo Tartaglione

“…While this is an important discovery, most studies remain theoretical, often replacing non-linearities with simple identity functions and not providing a real implementation of the more compact architecture. …”
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Triclosan exposure potentiates ischemic stroke risk: Multi-omics integration and molecular docking unveil neurotoxic mechanisms by Fangyuan Cheng, Han Gao, Bo Yan, Fanglian Chen, Ping Lei

“…A predictive model for TCS-associated IS risk was developed, complemented by mechanistic insights through the construction of miRNA-TF-mRNA regulatory networks and GeneMANIA functional prediction maps. SHAP analysis clarified feature contributions, confirming the model's robustness. …”
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Automatic Calculation of Cardiometric Coefficients on Chest X-Ray Images by Alexey Kornaev, Dmitry Lvov, Ilya Pershin, Semen Kiselev, Danil Afonchikov, Iskander Bariev, Bulat Ibragimov

“…Millions of chest X-ray examinations are conducted annually, providing crucial information about the functioning of the respiratory and circulatory systems. …”
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Analysis Prospective Mathematics Teachers’ Lesson Planning: A Praxeological-Didactical Theory by Eva Musyrifah, Didi Suryadi, Endang Cahya, Jarnawi Afgani Dahlan

“…Four types of tasks are presented in the lesson plan on drawing graphs of quadratic functions.  The predicted learning obstacles identified from the lesson plan are (1) epistemological obstacles, caused by the limitations of certain contexts; (2) ontogenic obstacles, caused by the presentation of tasks due to inappropriate prerequisites; and (3) didactic obstacles, caused by tasks that are not relevant to the next task.  …”
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Sentiment Analysis of MyBCA Application User Reviews using Naive Bayes, Random Forest, and Decision Tree by Muhammad Rizky Mawandhyka Akbar, Irfan Pratama

“…The data was preprocessed using the TF-IDF weighting method and processed with Python programming language and the Scikit-Learn library. The dataset was split into 90% training data and 10% testing data. …”
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Middle School Mathematics Teachers' Opinions about the Operational Usage of the Feedback by Hacı Ömer Beydoğan

“…Feedback is very important for teaching. Feedback is a functional tool to provide active involvement of the students to the learning process because feedbacks not only affect the academic success of the student. …”
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From Code to Life: The AI‐Driven Revolution in Genome Editing by Zhidong Li, Wasi Ullah Khan, Genxiang Bai, Chao Dong, Jungang Wang, Youpeng Zhang, Chong Wang, Hongbin Zhang, Wenyi Wang, Ming Luo, Fei Chen

“…Additionally, AI‐powered tools facilitate large‐scale data integration, accelerating functional genomics and therapeutic genome editing. …”
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