Simulated meteorological impacts of offshore wind turbines and sensitivity to the amount of added turbulence kinetic energy by D. Quint, D. Quint, J. K. Lundquist, J. K. Lundquist, J. K. Lundquist, J. K. Lundquist, J. K. Lundquist, N. Bodini, D. Rosencrans

“…Because the wake behavior may be a function of boundary layer stability, in this paper, we also present a machine learning algorithm to quantify the area and distance of the wake generated by the wind plant. …”
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Documento de consenso Por un nuevo marco para la formación médica en los estudios de grado, 2025. Sociedad Española de Educación Médica y Sociedad Española de Medicina Interna... by Leire Arbea, Beatriz Gal, Joaquin Garcia-Estañ, Montserrat Esquerda Aresté, Jose Vicente Lafuente, Jesús Millán Núñez-Cortés, Ricardo Rigual Bonastre, Felicidad Rodriguez Sanchez, Roger Ruiz Moral, Horacio Yulitta, Milagros Garcia Barbero, Raquel Barba Martín, Juana Carretero, Jordi Casademont, Antonio Chamorro, Montserrat Chimeno, Ricardo Gómez Huelgas, Miguel Marcos Martín, Manuel Méndez Bailón, Pablo Pérez Martinez, José María Porcel, Juan Antonio Vargas, Antoni Castro, Vincent Fonollosa, Maria de los Reyes Pascual, Juan Ignacio Pérez Calvo, Ramon Pujol, Manuel Rodriguez Zapata, Angel Sanchez Rodriguez, Rosa Solá, Carmen Súarez

“…Changes in regulations, in professional practice, in the functions of teachers, or in their selection, as well as in the expected learning outcomes require ordering and pointing out the factors that play in favour of and against a progressive improvement of medical training in undergraduate studies. …”
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TraxVBF: A hybrid transformer-xLSTM framework for EMG signal processing and assistive technology development in rehabilitation by Seyyed Ali Zendehbad, Athena Sharifi Razavi, Marzieh Allami Sanjani, Zahra Sedaghat, Saleh Lashkari

“…This allows the model to predict movement trajectories accurately, enabling motor learning and functional recovery of patients through real time feedback without the expensive hardware. …”
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The minimum complexity necessary: The value of a simple Social-Ecological systems analysis in holistic marine environmental management by Gemma Smith, Jonathan Atkins, Amanda Gregory, Michael Elliott

“…Increasingly, it is recognised that a functional, integrated approach is essential for sustainable management. …”
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Multimodal Metaverse Healthcare: A Collaborative Representation and Adaptive Fusion Approach for Generative Artificial-Intelligence-Driven Diagnosis by Jianhui Lv, Adam Slowik, Shalli Rani, Byung-Gyu Kim, Chien-Ming Chen, Saru Kumari, Keqin Li, Xiaohong Lyu, Huamao Jiang

“…MMLMH’s successful functioning in such complicated circumstances suggests that it can combine and process information streams from several sources. …”
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TERMINOLOGY IN PROCESS MANAGEMENT by Igor G. Fedorov

“…In order to become professionals in this field it is necessary to learn the terminology, first of all.…”
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Multidimensional bioinformatics analysis of chondrosarcoma subtypes and TGF-β signaling networks using big data approaches by Shengke Li, Junteng Chen, Fuping He, Maosheng Wang, Jun Liu, Hui Xie

“…Pseudotime analysis charted differentiation trajectories, while machine learning models evaluated the classification accuracy of gene expression patterns. …”
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From Pixels to Patterns: Trait Plasticity and Species Overlap of Calanus spp. in Arctic Fjords by Emilia Trudnowska, Ali Bukhari, Marta Gluchowska, Mads Schultz, Irina Smolina, Joanna Stoń‐Egiert, Jędrzej Świeżewski, Kaja Balazy

“…Our goal was to study life‐history traits of two Calanus species (C. glacialis and C. finmarchicus) across slightly different environments in order to better understand their functioning within Arctic ecosystems undergoing substantial transformations. …”
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Developing stakeholder participation to address lack of safe water as a community health concern in a rural province in South Africa by Jennifer Hove, Lucia D’Ambruoso, Rhian Twine, Denny Mabetha, Maria van der Merwe, Ishmael Mtungwa, Sonto Khoza, Kathleen Kahn, Sophie Witter

“…The greatest gain reported was the development of dialogue in ‘safe spaces’ through which mutual understanding, insights into the functioning of other sectors and learning by doing were achieved. …”
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Developing the data management component of an academic discipline program for an educational management information system by Ju. V. Starichkova, I. E. Rogov, V. S. Tomashevskaya

“…The classification of learning management systems according to various criteria, key requirements for academic disciplines, and ADP structure is considered.Results. …”
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Cognitive Agent-Based Modeling to Optimize Complex Project Management Under Uncertainty by Liliana M. Pantoja-Rojas, Marco A. Alzate-Monroy, Vactor H. Medina-Garcaa, Luis G. Moreno-Sandoval

“…The system was simulated over 100 time steps, allowing the identification of behavioral patterns related to organizational learning and performance under varied experimental conditions. …”
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Alzheimer's disease and implicit memory Doença de Alzheimer e memória implícita by Sergio Machado, Marlo Cunha, Daniel Minc, Claudio Elidio Portella, Bruna Velasques, Luis F. Basile, Maurício Cagy, Roberto Piedade, Pedro Ribeiro

“…Concluding, the decline in explicit memory suggests that both systems are functionally independent even if the other is compromised. …”
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EDUCATIONAL TRAINING SIMULATOR FOR MONITORING READING TECHNIQUE AND SPEED BASED ON SPEECH-TO-TEXT (STT) METHODS by Olesia Barkovska, Heorhii Ivashchenko, Dmytro Rosinskiy, Daniil Zakharov

“…The practical significance lies in the fact that the use of information and communication technologies and gamification of the learning process motivates to gain knowledge and encourages learning not only due to the game strategy, but also due to the fact that the child receives approval and the opportunity to perform the task again so to improve skills. …”
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Automotive DNN-Based Object Detection in the Presence of Lens Obstruction and Video Compression by Gabriele Baris, Boda Li, Pak Hung Chan, Carlo Alberto Avizzano, Valentina Donzella

“…Recent advances in sensing, processing, machine learning, and communication technologies are accelerating assisted and automated functions development for commercial vehicles. …”
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A Novel 3D Approach with a CNN and Swin Transformer for Decoding EEG-Based Motor Imagery Classification by Xin Deng, Huaxiang Huo, Lijiao Ai, Daijiang Xu, Chenhui Li

“…It enables patients with muscle or neural damage to control external devices and achieve movement functions by simply imagining bodily motions. Despite the significant clinical and application value of MI-BCI technology, accurately decoding high-dimensional and low signal-to-noise ratio (SNR) electroencephalography (EEG) signals remains challenging. …”
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Visual Disturbances to Avatar Foot Position Increase Step-Width Variability in Immersive VR Treadmill Walking by Alex van den Berg, Katherine L. Poggensee, David Abbink, Laura Marchal-Crespo

“…Gait variability, the subtle fluctuations in walking patterns, is crucial for adaptation and motor learning. While existing methods to increase gait variability often rely on force-based perturbations, these can reduce motivation. …”
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Anoikis in hepatocellular carcinoma: genetic alterations and immune microenvironment insights from single-cell and computational analysis by Bing Zhou, Jialing Zhang, Mingfeng Guo

“…Key findings were validated using qPCR on clinical samples, and functional assays using shRNA-mediated knockdown of KPNA2 were conducted in Hep-3B cell lines to assess changes in proliferation and migration. …”
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Prediction of teaching quality in the context of smart education: application of multimodal data fusion and complex network topology structure by Chunzhong Li, Chenglan Liu, Wenliang Ju, Yuanquan Zhong, Yonghui Li

“…Firstly, the article utilized a score management system and intelligent cameras to collect multimodal learning data; then, the original signal was decomposed into detail layers and approximation layers of different frequencies using wavelet transform, and high-frequency detail layers were processed for denoising through threshold functions; afterwards, in order to reduce the network size and parameters, attention mechanism was applied to screen the input features of the neural network; using students, teachers, and learning resources as network nodes, the connections between nodes were analyzed and a complex network topology structure was constructed; then, attention mechanism was used to fuse multimodal data, assigning different weights to each modality, integrating educational information, and highlighting key information in the prediction task. …”
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Hybrid Deep Neural Network Optimization with Particle Swarm and Grey Wolf Algorithms for Sunburst Attack Detection by Mohammad Almseidin, Amjad Gawanmeh, Maen Alzubi, Jamil Al-Sawwa, Ashraf S. Mashaleh, Mouhammd Alkasassbeh

“…The strength of DNNs is derived from their ability to model complex functions and to improve detection engines through deeper architecture. …”
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The Mediating Role of Attentional Control on the Relationship Between Multilingualism and Writing Ability of Iranian EFL Learners by Hamed Keramat, Sima Modirkhamene

“…Nowadays, most teachers and researchers are convinced that multilingual learners often achieve better additional language learning results than bi- and monolinguals; this superiority is often attributed to their cognitive and metalinguistic skills. …”
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