Screen Guided Training Does Not Capture Goal-Oriented Behaviors: Learning Myoelectric Control Mappings From Scratch Using Context Informed Incremental Learning by Evan Campbell, Ethan Eddy, Xavier Isabel, Scott Bateman, Benoit Gosselin, Ulysse Cote-Allard, Erik Scheme

“…This study evaluates a user-in-the-loop context-informed incremental learning (CIIL) framework, comparing SGT, SGT followed by CIIL adaptation (SGT-A), and a novel zero-shot adaptation (ZS-A) CIIL approach that begins adapting with no prior training. …”
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Comparative analysis of generative LLMs for labeling entities in clinical notes by Rodrigo del Moral-González, Helena Gómez-Adorno, Orlando Ramos-Flores

“…Abstract This paper evaluates and compares different fine-tuned variations of generative large language models (LLM) in the zero-shot named entity recognition (NER) task for the clinical domain. …”
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Early Postoperative Pain Control and Inflammation for Total Knee Arthroplasty: A Retrospective Comparison of Continuous Adductor Canal Block versus Single-Shot Adductor Canal Block... by Xiaojuan Yang, Jun Dong, Wei Xiong, Fusen Huang

“…SACB combined with PCIA in the first two days of patients undergoing TKA has better analgesic and beneficial effects on functional recovery and inflammation.…”
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Design of an integrated model with temporal graph attention and transformer-augmented RNNs for enhanced anomaly detection by Sai Babu Veesam, Aravapalli Rama Satish, Sreenivasulu Tupakula, Yuvaraju Chinnam, Krishna Prakash, Shonak Bansal, Mohammad Rashed Iqbal Faruque

“…The Transformer-Augmented RNN allows for a better way than standard RNNs through self-attention mechanisms to improve robust temporal modeling. …”
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CDR-Detector: a chronic disease risk prediction model combining pre-training with deep reinforcement learning by Shaofu Lin, Shiwei Zhou, Han Jiao, Mengzhen Wang, Haokang Yan, Peng Dou, Jianhui Chen

“…Experimental results show that, compared with the existing state-of-art methods, the proposed CDR-Detector has better accuracy and robustness on the few-shot and imbalanced EHR data.…”
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On Assessing the Performance of LLMs for Target-Level Sentiment Analysis in Financial News Headlines by Iftikhar Muhammad, Marco Rospocher

“…The results indicate that the fine-tuned Deberta-v3-base-absa-v1.1 model performs better across all evaluation metrics than other evaluated models in TLFSA. …”
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Effects of Surface Modifications on Rotating Bending Fatigue of Ni-Al Bronze Alloy by Guan-Xun Lu, Tai-Cheng Chen, Ren-Kae Shiue, Leu-Wen Tsay

“…Surface modifications, including laser surface melting (LSM) and micro-shot peening (MSP), were applied to improve the fatigue performance of the Ni-Al bronze (NAB) alloy. …”
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Calculation of rf-induced temporal jitter in ultrafast electron diffraction by T. Xu, F. Ji, C. J. R. Duncan, S. P. Weathersby, R. J. England

“…In this paper, we present a semianalytical approach for calculating rf-induced temporal jitter from klystron and rf cavity parameters. Our approach allows fast estimation of temporal jitter for MeV-UED beamlines and can serve as a virtual timing tool when shot-to-shot measurements of rf amplitude and phase jitters are available. …”
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Soviet View of the World. Exploring Long-Term Visual Patterns in “Novosti dnia” Newsreel Journal (1945-1992) by Mila Oiva, Tillmann Ohm, Ksenia Mukhina, Mar Canet Solà, Maximilian Schich

“…Studies in Soviet visual culture have recognized both continuities of repeating patterns and changes in the post-World War II period. …”
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Online target normal sheath acceleration proton beam stabilization at 1 Hz in ultra-intense laser–matter interaction by Jose Luis Henares, Michael Ehret, Jon Apiñaniz, Carlos Salgado-López, José Antonio Pérez-Hernández, María Luisa Berlanga, Ana María Cives Fernández, Evgeny Filippov, Enrique García-García, Rubén Hernández Martín, Diego De Luis, Pilar Puyuelo-Valdes, Isabel Rodríguez-Pérez, María Dolores Rodríguez Frías, Iuliana-Mariana Vladisavlevici, Giancarlo Gatti

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Development of the therapeutic regimen based on the synergistic activity of cyclophosphamide and double-stranded DNA preparation which results in complete cure of mice engrafted wi... by E. A. Potter, E. V. Dolgova, A. S. Proskurina, Ya. R. Efremov, O. S. Taranov, V. P. Nikolin, N. A. Popova, T. D. Dubatolova, D. D. Petrova, E. I. Vereschagin, A. M. Minkevich, O. M. Andrushkevich, S. I. Baiborodin, V. A. Rogachev, A. A. Ostanin, E. R. Chernykh, N. A. Kolchanov, S. S. Bogachev

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Technical Performance of Ethiopian Male Soccer National Team by Esayas Zenbaba

“…The result of this research shows that Ethiopian national team technical performance is significantly behind the Algeria national team on passes, pass accuracy, crosses, cross accuracy, corner, shot, shot accuracy and goal whereas in clearance and Interception inversely Ethiopia is better. …”
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Can large language models meet the challenge of generating school-level questions? by Subhankar Maity, Aniket Deroy, Sudeshna Sarkar

“…The results show that employing an eight-shot technique improves the performance of human evaluation metrics for the generated complete set of questions and helps generate questions that are better aligned with Bloom's revised taxonomy.…”
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Leveraging Deep Learning and Multimodal Large Language Models for Near-Miss Detection Using Crowdsourced Videos by Shadi Jaradat, Mohammed Elhenawy, Huthaifa I. Ashqar, Alexander Paz, Richi Nayak

“…The zero-shot learning method performed better, achieving an accuracy of 81.2% and an F1-score of 81.9%. …”
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Ideal Illumination for Smartphone-based Trabeculectomy Bleb Photography by Gagan Kalra, Parul Ichhpujani, Sahil Thakur, Urvashi Sharma

“…It was noted that SNR was lower for images shot in close illumination as compared to the ones shot in intermediate and distant illumination. …”
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Solving Inverse Kinematics of the Shotcrete Manipulator Based on the Plane Two-Link Model and Trajectory Planning by Chunlei Luo, Yi He, Shitu Abubakar

“…Skilled operators can obtain better shot blasting quality, but training of a skilled worker is costly. …”
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EW-CACTUs-MAML: A Robust Metalearning System for Rapid Classification on a Large Number of Tasks by Wen-Feng Wang, Jingjing Zhang, Peng An

“…Validation of EW-CACTUs-MAML on a typical dataset (Omniglot) indicates an accuracy of 97.42%, performing better than CACTUs-MAML (validation accuracy = 97.22%). …”
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Improving the Generalizability and Robustness of Large-Scale Traffic Signal Control by Tianyu Shi, Francois-Xavier Devailly, Denis Larocque, Laurent Charlin

“…For traffic signal control problems, an ensemble of standard RL and DisRL yields superior performance across different scenarios, including different levels of missing sensor data and traffic flow patterns. Furthermore, the learning scheme of the resulting model can improve zero-shot transferability to different road network structures, including both synthetic networks and real-world networks (e.g., Luxembourg, Manhattan). …”
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Intertransverse process block versus subcostal transversus abdominis plane block in patients undergoing laparoscopic radical gastrectomy: a prospective randomized controlled trial by Qian Chen, Xinyue Zhou, Fang Wang, Yang Zeng, Bin Qian, Haiyun Du

“…Conclusion This study showed that the double-shot bilateral ITPB could reduce opioids consumption and achieve longer and better pain relief. …”
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Offline prompt reinforcement learning method based on feature extraction by Tianlei Yao, Xiliang Chen, Yi Yao, Weiye Huang, Zhaoyang Chen

“…Experiments show that the proposed method achieves better performance than the baseline method in related tasks, can be generalized to new environments and tasks better, and effectively improves the stability and accuracy of agent decision making.…”
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