Anticipatory reaching motor behavior characterizes patients within the Alzheimer’s disease continuum in a virtual reality environment by Alessia de Nobile, Ilaria Borghi, Paolo De Pasquale, Denise Jennifer Berger, Antonella Maselli, Francesco Di Lorenzo, Elena Savastano, Martina Assogna, Andrea Casarotto, Daniele Bibbo, Silvia Conforto, Francesco Lacquaniti, Giacomo Koch, Andrea d’Avella, Marta Russo

“…Results Both AD and MCI patients showed more anticipatory responses than healthy controls (HC), inversely related to success rates and cognitive function. AD patients exhibited lower success rates and a higher frequency of anticipatory responses, often biased toward previous trial targets, suggesting impaired motor planning or difficulty adapting to new cues. …”
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Research on Behavior Recognition and Online Monitoring System for Liaoning Cashmere Goats Based on Deep Learning by Geng Chen, Zhiyu Yuan, Xinhui Luo, Jinxin Liang, Chunxin Wang

“…We improved YOLOv8n through dataset expansion, algorithm lightweighting, attention mechanism integration, and loss function optimization. Our improved model achieved the highest detection accuracy of 98.11% compared to other state-of-the-art (SOTA) target detection algorithms. …”
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Data curation of extracellular enzyme activity spectrophotometric or fluorometric data by Niels Gudmand Christiansen, Paul Iturbe-Espinoza, Rumakanta Sapkota, Anne Winding

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Incorporating Non-Coding Annotations into Rare Variant Analysis. by Tom G Richardson, Colin Campbell, Nicholas J Timpson, Tom R Gaunt

“…<h4>Methods & results</h4>We conducted a candidate gene analysis using the UK10K sequence and lipids data, filtering according to functional annotations using the resource CADD (Combined Annotation-Dependent Depletion) and contrasting results with 'nonsynonymous' and 'loss of function' consequence analyses. …”
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Reward shaping based reinforcement learning for intelligent missile penetration attack strategy planning by LUO Junren, LIU Guo, SU Jiongming, ZHANG Wanpeng, CHEN Jing

“…The comparison experiment shows that the success rate of the intelligent missile penetration attack controlled by the model learned by the reward molding method is 79%, which verifies the effectiveness of the reward-based reinforcement learning method. …”
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Research Status and Development Trend of Deep-sea Work Class ROV in China by SHEN Ke, YAN Yun, YAN Hongwen

“…Deep-sea work class ROV plays an important role in marine exploration, resource development and marine environment protection. …”
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Semi-Automated Dataset Generation for Residential Buildings Using Graph-Based Topological Modelling by Angelo Massafra, Dania H. Al-Harasis, Lorenzo Stefanini, Wassim Jabi

“…The resulting dataset facilitates the analysis of floor spatial configurations and the extraction of geometric attributes, laying the foundation for future analyses that will integrate machine learning techniques for functional detection and typological clustering.…”
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Takotsubo syndrome following mitral transcatheter edge-to-edge repair: a case report and literature review by Si Pang, Haobo Huang, Yunlong Zhu, Rong Zhou, Dan Tan, Yuqing Zhang, Mingxing Wu

“…The patient’s electrocardiogram (ECG) and function of the left ventricular function, particularly regional wall motion abnormalities, recovered on the 20th day after surgery.DiscussionThe limited literature reporting TTS post-TEER that we reviewed suggests that this rare complication must be anticipated in patients exhibiting an unexpected postoperative ECG and impaired myocardial contraction.ConclusionResearchers call for high-risk patient identification, adequate preoperative evaluation, and vigilant postoperative monitoring, and note the significance of early detection in optimizing therapeutic outcomes. …”
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Suprascapular Nerve: Is It Important in Cuff Pathology? by Lewis L. Shi, Michael T. Freehill, Paul Yannopoulos, Jon J. P. Warner

“…Suprascapular nerve and rotator cuff function are intimately connected. The incidence of suprascapular neuropathy has been increasing due to improved understanding of the disease entity and detection methods. …”
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Distribution, behavior and diet of the Asiatic black bear in human modified landscapes by Hadi Fahimi, Mahmood Soofi, Nahid Ahmadi, Ali T. Qashqaei, Hamidreza Heidari, Haaken Bungum, Bent Rech, Jonas Trepel, Matthias Waltert

“…Elevation, precipitation, village density, and PA size did not substantially influence occupancy. Black bear detection probability became 100 % only above 14 km survey effort, indicating its overall rarity, and bears were much more easily detected during and after rainfall. …”
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State of the art in remote sensing monitoring of carbon dynamics in African tropical forests by Thomas Bossy, Thomas Bossy, Thomas Bossy, Philippe Ciais, Philippe Ciais, Solène Renaudineau, Liang Wan, Bertrand Ygorra, Elhadi Adam, Nicolas Barbier, Marijn Bauters, Nicolas Delbart, Nicolas Delbart, Frédéric Frappart, Tawanda Winmore Gara, Eliakim Hamunyela, Suspense Averti Ifo, Gabriel Jaffrain, Philippe Maisongrande, Maurice Mugabowindekwe, Maurice Mugabowindekwe, Theodomir Mugiraneza, Theodomir Mugiraneza, Cassandra Normandin, Conan Vassily Obame, Marc Peaucelle, Camille Pinet, Pierre Ploton, Le Bienfaiteur Sagang, Martin Schwartz, Valentine Sollier, Bonaventure Sonké, Bonaventure Sonké, Paul Tresson, Aurélien De Truchis, An Vo Quang, Jean-Pierre Wigneron

“…Future developments in remote sensing should examine how multi-sensor integration of high-resolution data from instruments such as Planet, Tandem-X, SPOT and improved AI methods can refine forest composition, carbon storage and function maps, enhance large-scale monitoring of tree height and biomass dynamics, and improve forest degradation and deforestation detection down to tree level. …”
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Robot Visual Tracking Model Based on Improved GOTURN-LD Algorithm by Lijuan Xu, Dalong Liu, Huanjian Ma

“…Therefore, this paper studies the use of the You Only Look Once series algorithm and the use of the regression network general target tracking algorithm to improve the detection and tracker part of the track-learning-detection algorithm. …”
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Vision-Based Localization Method for Picking Points in Tea-Harvesting Robots by Jingwen Yang, Xin Li, Xin Wang, Leiyang Fu, Shaowen Li

“…First, an improved T-YOLOv8n model is proposed, which improves detection and segmentation performance across multi-scale scenes through network architecture and loss function optimizations. …”
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Probing Cosmic Isotropy with the FAST All Sky H i Survey by Yi-Wen Wu, Jun-Qing Xia

“…We do not detect any statistically significant deviations from cosmic isotropy in the FASHI survey data.…”
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Genome-Wide Scan for Copy Number Variations in Chinese Merino Sheep Based on Ovine High-Density 600K SNP Arrays by Yuezhen Tian, Jing An, Xinning Zhang, Jiang Di, Junmin He, Ayinuer Yasen, Yanpin Ma, Gaohaer Sailikehan, Xixia Huang, Kechuan Tian

“…Out of 11 selected CNVRs with predicted gain, loss, or gain–loss statuses, 8 (IDs 68, 156, 201, 284, 307, 352, 411, 601) were successfully confirmed. This study marks a significant step forward in mapping CNVs in the ovine genome and offers a valuable resource for future research on genetic variation in sheep.…”
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How to trace the origins of short-lived atmospheric species: an Arctic example by A. Da Silva, L. Marelle, J.-C. Raut, Y. Gramlich, K. Siegel, K. Siegel, S. L. Haslett, S. L. Haslett, C. Mohr, C. Mohr, J. L. Thomas

“…Knowing the exact modeled tracer emission sources in WRF-Chem enables a precise quantification of the source detection accuracy. …”
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Enhanced path planning for robot navigation in Gaussian noise environments with YOLO v10 and depth deterministic strategies by Feng Xiao, Shiwei Chu, Xing Guo, Youhai Zhang, Rubing Huang

“…A reward function is designed to motivate the agent to learn. …”
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Computer vision based automatic evaluation method of Y2O3 steel coating performance with SEM image by Jianhong Zhao, Huamin Yang, Yi Sui

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Current trends in neurocritical care: a comprehensive review by Vinothini Murugaiyan, Kingston Samraj Kirubakaran Jebaraj, Srinivas Kalaiselvan

“…Continuous neuromonitoring using tools like electroencephalogram and intracranial pressure monitoring offers real-time data on brain function, aiding in the early detection of complications. …”
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Editorial by Teddy Surya Gunawan

“…Contributions on flexible antenna designs, mobile applications for dyslexic learners, and modified grey relational analysis further showcase how electronics and AI are increasingly embedded in daily societal functions. In Materials and Manufacturing Engineering, the research on MSW-derived biochar for iron production and voltage-induced void formation in boiler tubes exemplifies innovation in resource utilization and reliability of industrial systems. …”
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