IoST-Enabled Robotic Arm Control and Abnormality Prediction Using Minimal Flex Sensors and Gaussian Mixture Models by Tajim Md. Niamat Ullah Akhund, Zaffar Ahmed Shaikh, Isabel De La Torre Diez, Manal Gafar, Deep H. Ajabani, Osama Alfarraj, Amr Tolba, Henry Fabian-Gongora, Luis Alonso Dzul Lopez

“…Multiple data analyses and visualizations are initiated to predict the normal and abnormal data. …”
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Proposal for a theoretical intervention model in family art therapy. The creative process as a therapeutic tool when working with families. by Estibaliz Gutierrez Ajamil, Iñigo Ochoa de Alda Martínez de Apellaniz

“…For family interventions a theoretical model has been designed that enables the adapting of therapeutic goals to the specific needs of each case. …”
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The Microchimerism Literature Atlas by Michael Christian Gruber, Daniel Kummer, Katja Sallinger, Henderson James Cleaves, Arsev Umur Aydinoğlu, Thomas Kroneis

“…The MCLA is being developed as an essential resource for the MC research community while its framework is easily adaptable for custom literature datasets, enabling its use in other research fields.…”
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Dataset for Evaluating the Production of Phonotactically Legal and Illegal Pseudowords by Valérie Chanoine, Snežana Todorović, Bruno Nazarian, Jean-Michel Badier, Khoubeib Kanzari, Andrea Brovelli, Sonja A. Kotz, Elin Runnqvist

“…A dataset called Gloups with the same participants and a similar learning task adapted to functional magnetic resonance imaging is already available. …”
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Hybrid Self-Attention Transformer U-Net for Fourier Single-Pixel Imaging Reconstruction at Low Sampling Rates by Haozhen Chen, Hancui Zhang, Bo Zou, Long Wu

“…Fourier Single-Pixel Imaging exhibits significant advantages over conventional imaging techniques, including high interference resistance, broad spectral adaptability, nonlocal imaging capability, and long-range detection. …”
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DCCPNet: A Dual-Branch Channel Cross-Concatenation Pan-Sharpening Network for Satellite Remote Sensing Imagery by Zechun Li, Xunqiang Gong, Ailong Ma, Haiqing He, Pengyuan Lv, Xiansan Liu, Yanfei Zhong

“…Furthermore, the proposed method exhibits apparent superiority to other advanced methods in image visual effects, operational efficiency testing, and normalized difference vegetation index application, showcasing its robust competitiveness.…”
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Applications of Riccati–Bernoulli and Bäcklund Methods to the Kuralay-II System in Nonlinear Sciences by Khudhayr A. Rashedi, Musawa Yahya Almusawa, Hassan Almusawa, Tariq S. Alshammari, Adel Almarashi

“…The obtained solutions are expressed in trigonometric, hyperbolic, and rational forms, highlighting the adaptability and efficacy of the proposed approach. To enhance the understanding of the results, the solutions are visualized using 2D representations for fractional-order variations and 3D plots for integer-type solutions, supported by detailed contour plots. …”
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Tafsir Digital: Antara Adaptasi dan Krisis Otoritas Keagamaan by Dina Istiqomah, Muhammad Rusidi, Opi Yensi

“…This study evaluates the dynamics of digital Qur`anic exegesis within the framework of adaptation and the crisis of religious authority in the age of social media. …”
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Reducing motion sickness during simulated astronaut post-spaceflight water landings using anticipatory cues or postural control by Taylor L. Lonner, Aaron R. Allred, Aadhit R. Gopinath, Tori Morgheim, Eric L. Groen, Charles M. Oman, Paul DiZio, Ben D. Lawson, Saige R. Drecksler, Torin K. Clark

“…Abstract Astronauts returning to Earth after adapting to microgravity are susceptible to Entry Motion Sickness while they are readapting to 1G. …”
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Explaining neural networks for detection of tropical cyclones and atmospheric rivers in gridded atmospheric simulation data by T. Radke, S. Fuchs, C. Wilms, I. Polkova, I. Polkova, I. Polkova, M. Rautenhaus, M. Rautenhaus

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Animation Pose Generation Model Based on Kinect Depth Image and Occlusion-Robust Pose-Maps Algorithm by Zhenxi Yu, Ting Wang, Peng Tian, Xuejie Li

“…Aiming at the problem of low efficiency and difficulty in adapting to complex interactive scenes in traditional animation pose generation methods, a dynamic pose generation model based on Kinect depth image and an occlusion robust pose map algorithm is proposed. …”
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A Hybrid Framework for Referring Image Segmentation: Dual-Decoder Model with SAM Complementation by Haoyuan Chen, Sihang Zhou, Kuan Li, Jianping Yin, Jian Huang

“…In the realm of human–robot interaction, the integration of visual and verbal cues has become increasingly significant. …”
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A systematic review and coordinate-based meta-analysis of resting-state fMRI in athletes from open and closed skills sports by Zhurui Yan, Mengqi Zhao, Yapeng Qi, Antao Chen, Hong Mou, Xize Jia, Yingying Wang

“…These findings suggest that long-term sport training optimizes connection strength and efficiency in brain regions associated with visual attention, cognitive and motor control in athletes. …”
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Memory Monitoring Recognition Test (MMRT), a new measurement of stimular source monitoring: Software and comprehension. by Pedro C Martínez-Suárez, José Alejandro Valdevila Figueira, Joselyn M Luna-Cambi, Carlos E Guerrero-Granda, Rocío Valdevila Santiesteban

“…The test is structured in stages, allows voice accessibility for people with visual disabilities and provides comprehensive user management. …”
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Deep Learning-Based Sign Language Recognition Using Efficient Multi-Feature Attention Mechanism by Esma Yenisari, Sirma Yavuz

“…These features are adaptively weighted using an attention mechanism and focus on the most critical information for the classification task. …”
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The Effects of Cognitive Load on Pupil Dilation in Volleyball Players: An Eye-Tracking Study by Tugba Nalcacigil, Gülcin Güler, Semra Bıdıl, Nuran Küçük, Tugce Toktay, Deniz Simsek

“…These findings suggest that cognitive load plays a critical role in shaping athletes’ visual and motor responses, with direct implications for sports training and decision-making processes. …”
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Synergy-CLIP: Extending CLIP With Multi-Modal Integration for Robust Representation Learning by Sangyeon Cho, Jangyeong Jeon, Mingi Kim, Junyeong Kim

“…In this study, we propose Synergy-CLIP, a novel framework that extends the contrastive language-image pre-training (CLIP) architecture to enhance multi-modal representation learning by integrating visual, textual, and audio modalities. Unlike existing methods that focus on adapting individual modalities to vanilla-CLIP, Synergy-CLIP aligns and captures latent information across three modalities equally. …”
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Contact Lenses in Pediatric Ophthalmological Practice by E. Yu. Markova, E. A. Perfilyeva

“…Uncorrected ametropia (especially high degrees) in childhood leads to maladaptation of visual perception. Rational correction of refractive errors with CL allows children to adapt to environmental conditions better, have higher indicators of health and psychological comfort among peers in comparison with children wearing glasses. …”
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Surface Damage Detection in Hydraulic Structures from UAV Images Using Lightweight Neural Networks by Feng Han, Chongshi Gu

“…However, existing deep learning (DL) models often lack architectural adaptations for the visual complexities of UAV imagery, including low-texture contrast, noise interference, and irregular crack patterns. …”
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Effect of Spectacle Lenses with Highly Aspherical Lenslets on Binocular Vision and Accommodation in Myopic Children with and without Intermittent Exotropia by Zhou Fengchao, Li Xue, Huang Yingying, Li Yuhao, Zhang Jiali, Chen Hao, Bao Jinhua

“…Forty myopic subjects aged 8–12 years were recruited: 20 with IXT and 20 visually normal children. Stereoacuity, phoria, accommodative facility, fusional vergence, vergence facility, near point of convergence, amplitude of accommodation, and accommodative response (AR) were measured by wearing HAL or single vision spectacle lenses (SVL) in a random order after adapting for 20 minutes. …”
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