Brain spatial reconciliation through multisensory integration in the impact of pandemic fatigue on workplace by Rizka Tri Arinta, Rizka Tri Arinta, Prasasto Satwiko, Robert Rianto Widjaja, Sri Kusrohmaniah

“…This research aims to examine how individuals adapt to work environments that expose them to multiple sensory stimuli, by observing brain activity and perception processing. …”
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Convolutional neural networks for accurate estimation of canopy cover by F. Puig, R. Gonzalez Perea, A. Daccache, M.A. Soriano, J.A. Rodríguez Díaz

“…This approach ensures adaptability across various devices, making it especially suitable for low-power edge-computing applications in agriculture. …”
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Childhood autism associated with neurological manifestations and corpus callosum hypoplasia: literature review and clinical cases by O. A. Komissarova, O. A. Milovanova, G. G. Avakyan, S. V. Bugriy

“…The first patient with the Wolf-Hirschhorn syndrome was diagnosed with atypical autism associated with severe mental retardation, lack of verbal means of communication, motor stereotypes, structural focal epilepsy, cerebral palsy (CP), severe systemic speech underdevelopment; the second patient with the Prader-Willi syndrome was diagnosed with organic autism associated with mild mental retardation, impaired social adaptation in combination with stereotyped actions, impaired visual-spatial coordination, and cerebral palsy. …”
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Super Resolution Reconstruction of Mars Thermal Infrared Remote Sensing Images Integrating Multi-Source Data by Chenyan Lu, Cheng Su

“…First, based on the principle of domain adaptation, we introduced a method using highly correlated visible light images as auxiliary to enhance the spatial resolution of thermal infrared images. …”
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Development and validation of a questionnaire for the knowledge assessment and management of PLADO diet in kidney and healthy population in Cyprus by Anna Michail, Constandinos Zesimos, Iris Sergiou, Katerina Tzini, Eleni Andreou

“…Broader application and cross-cultural adaptation are recommended to enhance global utility.…”
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Interactive Learning Tool for System of Linear Equations: Bridging the Gap Between Novice and Expert Through MATLAB-Based Solutions by Reem A. Alnanih, Lamiaa A. Elrefaei

“…Interactive learning tools are increasingly used to visually convey complex concepts, enhancing students’ understanding and engagement during the learning process. …”
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A Mouse Model for Conditional Secretion of Specific Single-Chain Antibodies Provides Genetic Evidence for Regulation of Cortical Plasticity by a Non-cell Autonomous Homeoprotein Tr... by Clémence Bernard, Clémentine Vincent, Damien Testa, Eva Bertini, Jérôme Ribot, Ariel A Di Nardo, Michel Volovitch, Alain Prochiantz

“…During postnatal life the cerebral cortex passes through critical periods of plasticity allowing its physiological adaptation to the environment. In the visual cortex, critical period onset and closure are influenced by the non-cell autonomous activity of the Otx2 homeoprotein transcription factor, which regulates the maturation of parvalbumin-expressing inhibitory interneurons (PV cells). …”
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Depth-Induced Intra-to-Inter Transformer network for stereoscopic image retargeting by Xiaoting Fan, Long Sun, Zhong Zhang

“…With the advancement of three-dimension visual applications, stereoscopic image editing technologies have attracted widespread popularity in both industry and entertainment. …”
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Spatiotemporal, demographic, and climatic drivers of malaria transmission in the endemic setting of Jazan, Saudi Arabia: A retrospective study by Ahmad Y Alqassim

“…Surveillance, optimized interventions, and flexible adaptation to high-risk locations and/or populations and meteorological influences are key priorities.…”
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Decoding Poultry Welfare from Sound—A Machine Learning Framework for Non-Invasive Acoustic Monitoring by Venkatraman Manikandan, Suresh Neethirajan

“…LSTM-based temporal modeling revealed distinct acoustic trajectories under visual and auditory stress, supporting the presence of habituation and stressor-specific vocal adaptations over time. …”
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SBCS-Net: Sparse Bayesian and Deep Learning Framework for Compressed Sensing in Sensor Networks by Xianwei Gao, Xiang Yao, Bi Chen, Honghao Zhang

“…The core of SBCS-Net is to optimize key SBL parameters through end-to-end learning. This can adaptively improve signal sparsity and probabilistically process measurement noise, while fully leveraging the powerful feature extraction and global context modeling capabilities of deep learning modules. …”
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Music literacy shapes the specialization of a right hemispheric word reading area by Alice Mado Proverbio, Elham Sanoubari

“…Specifically, we investigated whether the ability to read complex musical notation might be linked to neurofunctional adaptations that could influence word reading mechanisms. …”
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Development of a Software Package Architecture for Simulation and Prototyping of Radar Systems and Complexes by I. S. Serdiukov

“…The applied principles of modularity and decomposition ensure versatility and a high potential for adapting software modules, including for creating software for controlling radar prototypes and visualizing radar data in real time.…”
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The cognitive critical brain: Modulation of criticality in perception-related cortical regions by Xingyu Liu, Xiaotian Fei, Jia Liu

“…Importantly, we observed heterogeneous changes in criticality across cortical subsystems during a naturalistic movie-watching task, with visual and auditory regions fine-tuned closer to criticality. …”
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Attention-Based Color Difference Perception for Photographic Images by Hua Qiang, Xuande Zhang, Jinliang Hou

“…Traditional color difference (CD) measurement methods cannot adapt to large sizes and complex content of photographic images. …”
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A Data-Driven Intelligent Methodology for Developing Explainable Diagnostic Model for Febrile Diseases by Constance Amannah, Kingsley Friday Attai, Faith-Michael Uzoka

“…The system is designed with scalability in mind, allowing for future adaptation to different LMIC settings. However, limitations such as dataset imbalance and exclusion of pediatric data remain. …”
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A vision-language model for predicting potential distribution land of soybean double cropping by Bei Gao, Yuefeng Liu, Yanli Li, Hongmei Li, Meirong Li, Wenli He

“…AgriCLIP’s ability to seamlessly integrate visual and contextual information not only advances prediction accuracy but also provides interpretable insights for agricultural planning and climate adaptation strategies, offering a robust and scalable solution for addressing the challenges of food security in the context of global climate change.…”
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Analyzing Momentum Shifts in Tennis: A Machine-Learning Approach to Predicting Match Outcomes by Yuean Xia, Changfeng Li, Tanran Zhang

“…At the same time, the model has also been applied to the prediction of other tennis games and even table tennis games. It can adaptively adjust the K value and has a good fitting effect.Compared to conventional statistical methods, which often overlook the role of momentum, this model provides deeper insights into the interplay between momentum and match outcomes. …”
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Cultural access as a key indicator for evaluating sustainable development in the Alto Douro wine region by Andreia Silva, Isabel Vieira, Elisa Alén, Didiana Fernandes

“…It recommends balancing professional production with authenticity, adapting strategies to specific platforms, and leveraging video content to promote sustainable tourism. …”
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Metacognitive practices in training for essay writing in a target language by S. Volkov

“…The main results are embodied in certain transformations of theoretical ideas into specific learning tasks with metacognitive content and practices for their fulfilment, as well as in their visual illustrations and examples. The metacognitive model is part of these results, which frame metacognitive practices in the educational process. …”
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