Military experience predicts military multitasking better than laboratory measures in officer cadets by Yannik Hilla, Maximilian Stefani, Elisabeth V. C. Friedrich, Wolfgang Mack

“…We discuss the role of learned task representations in this regard and conclude that it might be more reasonable to investigate cognitive functions as co-variates of associations between military characteristics (e.g., military service duration) and military performance in future research than to focus on laboratory measures as predictors of military performance.…”
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Mural art in the work of José Ríos. From personal experience and glancing through history by Fabian Garcia Carrillo, José Antonio Benavides Lopez, Claudia Moreno Romero, Angie Benavides Castillo

“…It can express protest and criticism and can function as a tool for social and educational integration (Martinez y Barba, 2013). …”
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Exploring restoration efforts from a social lens: statistical models reveal relationships between salmon habitat restoration efforts and ecological and social characteristics of th... by Brittany D King, Robert Fonner

“…As new restoration efforts are considered, it is important to look back and see what can be learned from past efforts, including how restoration benefits are distributed across communities through an equity lens. …”
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A Lightweight Multi-Scale Model for Speech Emotion Recognition by Haoming Li, Daqi Zhao, Jingwen Wang, Deqiang Wang

“…Furthermore, a loss function combining Softmax loss and Center loss is adopted to supervise the model training so as to enhance the model’s discriminative power. …”
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GE-YOLO for Weed Detection in Rice Paddy Fields by Zimeng Chen, Baifan Chen, Yi Huang, Zeshun Zhou

“…Additionally, an EMA attention mechanism is used to better learn weed feature representations, while a GIOU loss function provides smoother gradients and reduces computational complexity. …”
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Auto-Tuning Memory-Based Adaptive Local Search Gaining–Sharing Knowledge-Based Algorithm for Solving Optimization Problems by Nawaf Mijbel Alfadli, Eman Mostafa Oun, Ali Wagdy Mohamed

“…The Gaining–Sharing Knowledge-based (GSK) algorithm is a human-inspired metaheuristic that models how people learn and disseminate knowledge across their lifetime. …”
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Enhancing Neural Network Interpretability Through Deep Prior-Guided Expected Gradients by Su-Ying Guo, Xiu-Jun Gong

“…However, traditional DNNs often function as “black boxes,” delivering accurate predictions without providing insight into the factors driving their outputs. …”
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Wide-viewing-angle color holographic 3D display system with high brightness encoding by Yi-Wei Zheng, Fan Chu, Fan-Chuan Lin, Yi-Xiao Hu, Yi-Long Li, Yi Zheng, Di Wang, Qiong-Hua Wang

“…Additionally, a high brightness hologram encoding method is developed, which introduces a frequency loss function with dynamic weights to ensure that differences of all frequency components in the frequency domain can be learned. …”
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Health Assessment of Rolling Bearings Based on Multivariate State Estimation and Reliability Analysis by Chunjun Chen, Lizhi Liu

“…Firstly, the health baseline of the rolling bearing under multi-speed conditions is established based on MSET, which collects the history health data of rolling bearings under various working conditions and learns the impact of working conditions on health data. …”
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An Hourly Prediction Model of Relativistic Electrons Based on Empirical Mode Decomposition by Yedong Qian, Jianwei Yang, Hua Zhang, Chao Shen, Yewen Wu

“…After a long period, such an electron flux effect could cause satellites to be unable to function properly or to fail completely. Unlike previous prediction models of relativistic electrons focusing mainly on forecasting the daily value, we have developed an hourly prediction model to learn more detailed changes. …”
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Digital activism in Kenya: moving from the digital center to the digital periphery of Long Covid experience by Emily Mendenhall, Lucy W. Kamau, Nora Kenworthy, Edna N. Bosire

“…This demonstrates not only how social networks function at the digital periphery but also the complexities situated within the periphery itself, which is at important social nodes, connected to the digital center.…”
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Title not available by Diep, Hung The

“…A quantum spin-wave theory using the Green’s function method is shown and discussed.…”
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Language Experience Influences Sociolinguistic Development: The Role of Speaker Race and Language Attitudes on Bilingual and Monolingual Adults’ Accent Processing by Vanessa Ritsema, Rebeka Workye, Drew Weatherhead

“…Speaker race specifically is thought to be informed by learned experiences (exemplar model) or individual biases and attitudes (bias-based model). …”
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LA-ResUNet: An Efficient Linear Attention Mechanism in ResUNet for the Semantic Segmentation of Pulmonary Nodules by P. C. Sarah Prithvika, L. Jani Anbarasi

“…LA-ResUNet, a pulmonary nodule segmentation model, built using ResUNet with a linear attention mechanism and the Leaky ReLU activation function is proposed. LA-ResUNet efficiently segments pulmonary nodules, while achieving a linear time and space complexity. …”
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Potential of N-acetylcysteine in the management of low back pain: a scoping review of studies in humans and animal models by G. Sinigaglia, L.M. Fortunato, M.L. Grillo, W.A. Partata

“…Low back pain (LBP) is a common type of pain that causes disability and impairs cognitive function. With over 80% of adults estimated to experience LBP during their lifetime, this type of pain not only has a significant impact on the individual, but also on public health systems and national economies. …”
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A multi-modal transformer for predicting global minimum adsorption energy by Junwu Chen, Xu Huang, Cheng Hua, Yulian He, Philippe Schwaller

“…Our AdsMT framework demonstrates excellent performance by adopting the tailored graph encoder and transfer learning, achieving mean absolute errors of 0.09, 0.14, and 0.39 eV, respectively. …”
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Innovative Approaches to Sustainable Urban Planning: Analysing Current Trends by Meruyert Baidrakhmanova, Gani Karabayev, Seimur Mamedov

“…Artificial intelligence facilitates urban planning through data analysis and pattern recognition, while generative adversarial networks and transformers improve design and data processing functionalities. Geoinformation technology, digital twins, and green spaces enhance urban resource management and elevate air quality. …”
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The impact of task simplification in skill acquisition for young children from a simplexity approach by Jia Yi Chow, Wan Ting Loh, Karen Lai Fong Low, Ludovic Seifert

“…Simplexity allows for functional complex movements to be produced underpinned by simple control mechanisms. …”
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Artificial intelligence in decoding muscle–organ crosstalk: Unveiling myokine networks and therapeutic frontiers by Ehsan Arabzadeh, Fatemeh Khanzadeh, Arezoo Kalhor

“…Skeletal muscle functions as an endocrine organ, secreting myokines that mediate crosstalk with organs like the brain, liver, adipose tissue, and vascular system, influencing metabolism, inflammation, and disease progression. …”
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The Temporal Dynamics Model of Emotional Memory Processing: A Synthesis on the Neurobiological Basis of Stress-Induced Amnesia, Flashbulb and Traumatic Memories, and the Yerkes-Do... by David M. Diamond, Adam M. Campbell, Collin R. Park, Joshua Halonen, Phillip R. Zoladz

“…We have reviewed research on the effects of stress on LTP in the hippocampus, amygdala and prefrontal cortex (PFC) and present new findings which provide insight into how the attention and memory-related functions of these structures are influenced by strong emotionality. …”
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