The effect of the beehive strategy on deliberate thinking and learning the setting skill of volleyball among female students at the College of Physical Education and Sports Science... by Israa Fouad Salih, Najlaa Abbas AL-Zuhairi, Liza Rustum Yaqoob, Missaa Nadem, Fatima AL-Zahraa IBrahim Beden

“…This group represented (46%) of the students. The sample for constructing the scale comprised (134) female students, selected from second-year students in the Colleges of Physical Education at Al-Mustansiriya University, Basic Education, and Al-Farahidi University, for the purpose of constructing the scale, noting that they were of the same age and educational level. …”
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Multiobjective Collaborative Optimization Method for the Urban Rail Multirouting Train Operation Plan by Lianbo Deng, Qi Peng, Li Cai, Junhao Zeng, Nava Raj Bhatt

“…The Train Operation Plan (TOP) of urban rail transit (URT) is a comprehensive plan for the operation of trains, the use of facilities and equipment, and the organization of other operational tasks. The TOP should not only be formulated in terms of time-varying passenger flow periods, but it should also be arranged to consider the substitutability of trains between multiple routes combined with the passenger choice. …”
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A semi-supervised domain adaptive medical image segmentation method based on dual-level multi-scale alignment by Hualing Li, Yaodan Wang, Yan Qiang

“…Abstract In the actual image segmentation tasks in the medical field, the phenomenon of limited labeled data accompanied by domain shifts often occurs and such domain shifts may exist in homologous or even heterologous data. …”
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Automatic speech analysis combined with machine learning reliably predicts the motor state in people with Parkinson’s disease by Tabea Thies, Elisa Mallick, Johannes Tröger, Ebru Baykara, Doris Mücke, Michael T. Barbe

“…A total of 78 participants, including 51 males and 27 females, performed predefined standard speech tasks. Acoustic speech features were automatically extracted with the algorithm given by the Dysarthria Analyzer. …”
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An Integrated Approach to Scheduling B-CAVs in Container Terminals considering Battery Management by Shuo Wang, Jiliang Luo, Weimin Wu, Dahai Zhang, Tao Zhang

“…An integer programming model is constructed with the goal of minimizing the total travel distance. …”
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Arabic Temporal Common Sense Understanding by Reem Alqifari, Hend Al-Khalifa, Simon O’Keefe

“…This methodology underscores the urgent need for further research on PLMs’ capabilities for TCU tasks.…”
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Comparison of accelerated strength testing methods as exemplified by 09G2S steel by K. V. Kuskov

“…One of the urgent tasks when establishing the endurance limits of steel is limiting the time of the experiment. …”
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Deep-Learning-Based Cognitive Assistance Embedded Systems for People with Visual Impairment by Huu-Huy Ngo, Hung Linh Le, Feng-Cheng Lin

“…For people with vision impairment, various daily tasks, such as independent navigation, information access, and context awareness, may be challenging. …”
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Enhancing autonomous exploration for robotics via real time map optimization and improved frontier costs by Chunyang Liu, Dingfa Zhang, Weitao Liu, Xin Sui, Yan Huang, Xiqiang Ma, Xiaokang Yang, Xiao Wang

“…Additionally, we construct a novel frontier cost function that incorporates factors such as path length, sensor measurement range, and information gain. …”
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A decision-space model explains context-specific decision-making by Dirk W. Beck, Cory N. Heaton, Luis D. Davila, Lara I. Rakocevic, Sabrina M. Drammis, Danil Tyulmankov, Atanu Giri, Shreeya Umashankar Beck, Qingyang Zhang, Michael Pokojovy, Kenichiro Negishi, Alexis A. Salcido, Neftali F. Reyes, Andrea Y. Macias, Serina A. Batson, Paulina Vara, Raquel J. Ibáñez Alcalá, Safa B. Hossain, Graham L. Waller, Laura E. O’Dell, Travis M. Moschak, Ki A. Goosens, Alexander Friedman

“…We also found, through new analyses, that striosome and matrix neurons increase their synchrony during difficult tasks, caused by a necessary increase in dimensionality of the space. …”
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VTformer: a novel multiscale linear transformer forecaster with variate-temporal dependency for multivariate time series by Rui Dai, Zheng Wang, Jing Jie, Wanliang Wang, Qianlin Ye

“…Extensive experiments on eight real-world datasets demonstrate that VTformer outperforms state-of-the-art models in long-term Multivariate Time Series Forecasting (MTSF) tasks, thereby advancing the accuracy and efficiency of Transformers.…”
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Sensitivity and Specificity of the Mini-Mental State Exam in the Diagnosis of Dementia by L. Sabe, L. Jason, M. Juejati, R. Leiguarda, S. Starkstein

“…In conclusion, the assessment with verbal memory and naming tasks provided a significantly more sensitive measure of early dementia than the MMSE.…”
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SGPLane: Efficient lane detection via sampled grid points for autonomous driving by Xuewei Tang, Mengmeng Yang, Kun Jiang, Tuopu Wen, Benny Wijaya, Diange Yang

“…Lane detection is one of the critical tasks for autonomous driving. Earlier works revolved around semantic segmentation and object detection with a special program for lanes. …”
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EFL Teachers' Attitudes towards Self-Directed Language Learning in Diverse Academic Settings by Seyyed Hossein Kashef, Fatemeh Barzegari

“…Based on the findings of current study, it was concluded that most of Iranian EFL teachers have positive and favorable attitudes toward self-directed learning and its different constructs. They mostly even in different educational settings positively stated that learners needed to form specific habits such as studying in library, being provided with opportunities for completing tasks alone and moving education to out of classroom. …”
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Comprehensive Study on Zero-Shot Text Classification Using Category Mapping by Kai Zhang, Qiuxia Zhang, Chung-Che Wang, Jyh-Shing Roger Jang

“…This paper employs three strategies to improve the accuracy and generalization of pre-trained models in zero-shot text classification tasks: 1) Utilizing a pre-trained model that transforms inputs into a standardized multiple-choice format. 2) Constructing a text classification training set using Wikipedia text data to fine-tune the pre-trained model; 3) Proposing a zero-shot category mapping method based on GloVe text similarity, using Wikipedia categories as substitutes for text labels. …”
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In-memory ferroelectric differentiator by Guangdi Feng, Xiaoming Zhao, Xiaoyue Huang, Xiaoxu Zhang, Yangyang Wang, Wei Li, Luqiu Chen, Shenglan Hao, Qiuxiang Zhu, Yachin Ivry, Brahim Dkhil, Bobo Tian, Peng Zhou, Junhao Chu, Chungang Duan

“…We successfully illustrate the effectiveness of this technique in a variety of tasks, including derivative function solving, the moving object extraction and image discrepancy identification, using an in-memory differentiator constructed with a crossbar array of 1600-unit ferroelectric polymer capacitors. …”
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BladeSynth: A High-Quality Rendering-Based Synthetic Dataset for Aero Engine Blade Defect Inspection by M. A. Mohammed Eltoum, Ehtesham Iqbal, Yahya Zweiri, Brain Moyo, Yusra Abdulrahman

“…The generated data is assessed for effectiveness in both supervised and unsupervised defect detection tasks. Additionally, sim-to-real transferability is examined, demonstrating that models trained on the generated synthetic data can effectively detect and classify defects in real blade images.…”
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Research on a Miniature Underwater Vehicle Based on a Multi-Unit Underwater Coupled Jet Drive by Dong Zhang, Xingming Ma, Xue Zhang, Peng Gao, Kai Li

“…Its outstanding motion ability and environmental adaptability allow it to perform various tasks in unknown and complex environments. It also has broad application prospects.…”
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Estimation Model of Corn Leaf Area Index Based on Improved CNN by Chengkai Yang, Jingkai Lei, Zhihao Liu, Shufeng Xiong, Lei Xi, Jian Wang, Hongbo Qiao, Lei Shi

“…In this study, the output structure was improved based on the ResNet architecture to adapt to regression tasks. The Triplet module was introduced to achieve feature fusion and self-attention mechanisms, thereby enhancing the accuracy of maize LAI estimation. …”
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A Novel Parallel Multi-Scale Attention Residual Network for the Fault Diagnosis of a Train Transmission System by Yong Chang, Tengfei Gao, Juanhua Yang, Zongyao Liu, Biao Wang

“…This results in the requirements of train fault diagnosis tasks not being met. Therefore, a novel parallel multi-scale attention residual neural network (PMA-ResNet) for a train transmission system is proposed in this paper. …”
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