Multimodal Model for Automated Pain Assessment: Leveraging Video and fNIRS by Jo Vianto, Anjitha Divakaran, Hyungjeong Yang, Soonja Yeom, Seungwon Kim, Soohyung Kim, Jieun Shin

“…Traditional methods such as the Visual Analogue Scale (VAS), Numerical Rating Scale (NRS), and Verbal Rating Scale (VRS) rely heavily on patient feedback, which can be inconsistent and subjective. …”
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Identifikasi Jenis Biji Kedelai (Glycine Max L) Menggunakan Gray Level Coocurance Matrix (GLCM) dan K-Means Clustering by Rahmat Robi Waliyansyah

“…But only a few varieties that can be processed in soybean processing industry, in particular the tofu & tempe industry. …”
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Analysis of Physical Activity Using Wearable Health Technology in US Adults Enrolled in the All of Us Research Program: Multiyear Observational Study by Rujul Singh, Macy K Tetrick, James L Fisher, Peter Washington, Jane Yu, Electra D Paskett, Frank J Penedo, Steven K Clinton, Roberto M Benzo

“…Additionally, we compared 3 distinct methods of processing physical activity (PA) data to estimate adherence to the 2008 PAGA. …”
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Adaptive Sharding for UAV Networks: A Deep Reinforcement Learning Approach to Blockchain Optimization by Kaiyin Lu, Xinguang Zhang, Tianbo Zhai, Mengjie Zhou

“…Blockchain sharding technology offers promising avenues for improving data processing capabilities and security in drone networks. …”
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Quantifying task-locked information transmission between cortical areas with TMS-EEG by Zhaohuan Ding, Wenbo Ma, Leixiao Feng, Mingsha Zhang, Xiaoli Li

“…Main results: Analysis of eye tracker data revealed that all participants successfully performed the saccade task, with a correct rate exceeding 90 %. …”
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Inflation, Informational Environment and Expectations of Households by S. S. Vinokurov, A. A. Medved

“…To process the collected data, correlation and regression analysis was used, as well as specific methods: Granger causality, principal component methods and lasso regression. …”
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Reinforcement learning based route optimization model to enhance energy efficiency in internet of vehicles by Quadeer Hussain, Ahmad Shukri Mohd Noor, Muhammad Mukhtar Qureshi, Jianqiang Li, Atta-ur Rahman, Aghiad Bakry, Tariq Mahmood, Amjad Rehman

“…Specific problems are related to energy consumption for transmitting information, distributing energy loads across the vehicle’s sensors and communication units, and designing energy-efficient approaches to processing received data and making decisions in the context of the IoV environment. …”
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Visual Perturbation to Enhance Return to Sport Rehabilitation after Anterior Cruciate Ligament Injury: A Clinical Commentary by Timothy R Wohl, Cody R Criss, Dustin R Grooms

“…The neuromuscular consequences of injury are not limited to the joint and surrounding musculature, but may modulate central nervous system reorganization. Neuroimaging data suggest patients with ACL injuries may require greater levels of visual-motor and neurocognitive processing activity to sustain lower limb control relative to healthy matched counterparts. …”
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Experimental and Numerical Study of Behavior of Additively Manufactured 316L Steel Under Challenging Conditions by Lenka Kunčická, Radim Kocich, Marek Pagáč

“…The experimentally acquired data are further used for numerical simulations to predict the expected magnitudes of force and imposed strains during prospective post-processing. …”
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Hardware realization of neuromorphic computing with a 4–port photonic reservoir for modulation format identification by Enes Şeker, Rijil Thomas, Guillermo von Hünefeld, Stephan Suckow, Mahdi Kaveh, Gregor Ronniger, Pooyan Safari, Isaac Sackey, David Stahl, Colja Schubert, Johannes Karl Fischer, Ronald Freund, Max C Lemme

“…Reservoir computing encompasses recurrent neural networks for sequential data processing and matches the performance of other recurrent networks with less training and lower costs. …”
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Optimal selection of high-production well targets for fault-controlled fractured-vuggy reservoir in Shunbei oil and gas field, Tarim Basin by Lijun GAO, Haiying LI, Wei GONG, Wei YANG, Hongyan LI

“…The Q-compensation seismic data processing technology developed through research improved the imaging resolution of fault-controlled fractured-vuggy systems in low signal-to-noise ratio seismic data under desert environments. …”
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Analysis of the radioprotective properties of 3-hydroxypyridine fumarate on an invertebrate animal model after proton irradiation <i>in vivo</i> by O. V. Kuzmicheva, D. V. Uskalova, D. T. Degtyareva, T. V. Ulanova, S. V. Shkavrov, E. I. Sarapultseva

“…According to the data obtained, the survival rate of irradiated newborn animals decreased by 29.3 % by the age of 21 days (p = 0.03). …”
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Bilingual Sign Language Recognition: A YOLOv11-Based Model for Bangla and English Alphabets by Nawshin Navin, Fahmid Al Farid, Raiyen Z. Rakin, Sadman S. Tanzim, Mashrur Rahman, Shakila Rahman, Jia Uddin, Hezerul Abdul Karim

“…The approach uses a YOLOv11 object detection architecture that has been trained with an open-source dataset on a set of 9556 images containing 64 different letter signs from both languages. Data preprocessing was applied to enhance the performance of the model. …”
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PCA Weight Determination-Based InSAR Baseline Optimization Method: A Case Study of the HaiKou Phosphate Mining Area in Kunming, Yunnan Province, China by Weimeng Xu, Jingchun Zhou, Jinliang Wang, Huihui Mei, Xianjun Ou, Baixuan Li

“…In InSAR processing, optimizing baselines by selecting appropriate interferometric pairs is crucial for ensuring interferogram quality and improving InSAR monitoring accuracy. …”
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320 GHz photonic-electronic analogue-to-digital converter (ADC) exploiting Kerr soliton microcombs by Dengyang Fang, Daniel Drayss, Huanfa Peng, Grigory Lihachev, Christoph Füllner, Artem Kuzmin, Pablo Marin-Palomo, Patrick Matalla, Prashanta Kharel, Rui Ning Wang, Johann Riemensberger, Mian Zhang, Jeremy Witzens, J. Christoph Scheytt, Wolfgang Freude, Sebastian Randel, Tobias J. Kippenberg, Christian Koos

“…The system offers a record-high acquisition bandwidth of 320 GHz, corresponding to an effective sampling rate of at least 640 GSa/s. In a proof-of-concept experiment, we demonstrate the viability of the concept by acquiring a broadband analogue data signal comprising different channels with centre frequencies between 24 GHz and 264 GHz, offering bit error ratios (BER) below widely used forward-error-correction (FEC) thresholds. …”
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SP-GEM: Spatial Pattern-Aware Graph Embedding for Matching Multisource Road Networks by Chenghao Zheng, Yunfei Qiu, Jian Yang, Bianying Zhang, Zeyuan Li, Zhangxiang Lin, Xianglin Zhang, Yang Hou, Li Fang

“…Identifying correspondences of road segments in different road networks, namely road-network matching, is an essential task for road network-centric data processing such as data integration of road networks and data quality assessment of crowd-sourced road networks. …”
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An improving secure communication using multipath malicious avoidance routing protocol for underwater sensor network by Vignesh Prasanna Natarajan, Senthil Jayapal

“…Abstract The Underwater Sensor Network (UWSN) comprises sensor nodes with sensing, data processing, and communication capabilities. …”
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Driver Drowsiness Detection Using Swin Transformer and Diffusion Models for Robust Image Denoising by Samy Abd El-Nabi, Ahmed F. Ibrahim, El-Sayed M. El-Rabaie, Osama F. Hassan, Naglaa F. Soliman, Khalil F. Ramadan, Walid El-Shafai

“…Moreover, a detailed sensitivity analysis of data augmentation strategies reveals that techniques such as rotation and horizontal flip substantially enhance the model&#x2019;s generalization across variable visual inputs. …”
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Budesonide in treatment of alcohol-induced severe hepatitis: results of randomized trial by I. I. Komkova, M. V. Mayevskaya, V. T. Ivashkin

“…Following statistical criteria were used for data processing: χ2, Wilcoxon, Mann-Whitney, Kaplan – Mayer method.Results. …”
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Exploring the Application of Large Language Models Based AI Agents in Leakage Detection of Natural Gas Valve Chambers by Qian Wei, Hongjun Sun, Yin Xu, Zisheng Pang, Feixiang Gao

“…Also, it can still remain stable under high load conditions, with the interruption rate of retrieval closing to zero. (3) By combining the specialized small model and the knowledge Q&A tool, the natural gas valve chambers’ leakage detection AI agent based on the open-source LLM model was designed and developed, which preliminarily achieved the leakage detection based on the specialized small model, and the automatic processing of the retrieval reasoning process based on the knowledge Q&A tool and the intelligent generation of corresponding leakage disposal scheme. …”
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