Multiple receiver specific emitter identification by Liting Sun, Zheng Liu, Zhitao Huang

“…After receiving and processing in a specific manner, recognition performance can be enhanced. …”
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ACCURACY EVALUATION AND ERROR ANALYSIS OF DEPENDENCY PARSING FOR TEXTS IN UKRAINIAN by Костянтин Сироткін

“…Resolving these errors could potentially allow us to build a more accurate parser in the future. Error rate for different categories is compared to the baseline error rate, and statistical significance of such comparison is validated using the chi-square method. …”
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Is GPT-4 fair? An empirical analysis in automatic short answer grading by Luiz Rodrigues, Cleon Xavier, Newarney Costa, Dragan Gasevic, Rafael Ferreira Mello

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PortraitEmotion3D: A Novel Dataset and 3D Emotion Estimation Method for Artistic Portraiture Analysis by Shao Liu, Sos Agaian, Artyom Grigoryan

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Aqueous Ammonia Sensor with Neuromorphic Detection by Kateryna Vyshniakova, Mohammad Javad Mirshojaeian Hosseini, Huiwen Bai, Masoome Fatahi, Victor Marco Rocha Malacco, Shawn S Donkin, Richard M Voyles, Robert A. Nawrocki

“…The digitized nature of neuromorphic signal pre‐processing makes it more resilient for signal transmission in the presence of noise and serves as a demonstration of “smart sensing.”…”
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How Do Stress Situations Affect Higher-Level Text Processing in L1 and L2 Readers? An Eye-Tracking Study by Ziqing Xia, Chun-Hsien Chen, Jo-Yu Kuo, Mingmin Zhang

“…Yet, the detailed impact of stress on various stages of text processing is understudied. This study aims to explore how the higher-level text processing ability, including syntactic parsing, sentence integration, and global text processing, of first language (L1) and second language (L2) English readers is affected under stress situations. …”
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Re-evaluating bioplastic blend wastes through mechanical recycling and chemical modification by Sanaz Soleymani Eil Bakhtiari, Islam Shyha, Dongyang Sun, Mohammadreza Nofar, Reza Salehiyan

“…Unlike single polymers, blends offer tailored properties by combining the strengths of individual components, making them more suitable for diverse applications. However, their complex morphologies and phase interactions demand unique strategies for effective recycling.Key findings highlight that polymer blends, such as PLA/PHB and PLA/PBAT, exhibit greater resilience to repeated processing compared to their pure counterparts, owing to enhanced intermolecular interactions and progressive crystallinity. …”
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Sleep disturbances and PTSD: identifying baseline predictors of insomnia response in an intensive treatment programme by Philip Held, Ashby Boland, Sarah A. Pridgen, Dale L. Smith

“…Objective: This study examined whether baseline demographic and clinical variables could predict clinically significant reductions in insomnia symptoms among veterans receiving a 2-week Cognitive Processing Therapy (CPT)-based intensive PTSD treatment programme (ITP). …”
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Listening to Patients: Advanced Arabic Aspect-Based Sentiment Analysis Using Transformer Models Towards Better Healthcare by Seba AlNasser, Sarab AlMuhaideb

“…To address these issues, advanced Natural Language Processing (NLP) techniques such as aspect-based sentiment analysis are emerging as essential tools. …”
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Detecting Emotional Reactions Expressed by People on Social Networks during COVID-19 by Natural Language Processing Methods: The Ekşi Sözlük Example by Atınç Yılmaz, Ali Yurdun Orbak, Ümit Yılmaz, Erol Özçekiç

“…Restrictions and prohibitions forced people to spend more time at home, and as a consequence, the time people spent on the Internet increased significantly. …”
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A Deep Semantic Comprehension-Based Automatic Conversation Model Based on Autoencoder-Enhanced Transformer by Shouyu Liang, Bimei Zhao, Cheng Li, Yuanfeng Chen, Zhengguo Ren, Bang Ao

“…This article proposes an automatic conversation model based on deep semantic understanding, which aims to improve the performance of natural language processing systems in dialogue scenarios and achieve more efficient and accurate semantic understanding and generation. …”
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Synergistic potential of co-millinged edible argan oil (Argania spinosa L.) and oregano leaves (Origanum vulgare L.) in food applications by Samira Oubannin, Abderrahim Asbbane, Otmane Hallouch, Angelo Maria Giuffrè, El Hassan Sakar, Said Gharby

“…AO shelf-life was extended thanks to OL, which slowed down the process of lipid complete oxidation. From a sensory standpoint, a rancid taste was found in the unenriched AO, while the taste and color of oregano were more intense in the AOs supplemented with OL at 5 %. …”
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Comparative Analysis of Traditional and Modern NLP Techniques on the CoLA Dataset: From POS Tagging to Large Language Models by Abdessamad Benlahbib, Achraf Boumhidi, Anass Fahfouh, Hamza Alami

“…Our experiments show a clear improvement in performance as models evolve from traditional to more advanced approaches. Notably, state-of-the-art (SOTA) results were obtained by fine-tuning GPT-4o with extensive hyperparameter tuning, including experimenting with various epochs and batch sizes. …”
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Improved application of the split-spectrum method to L-band interferograms for ionospheric phase mitigation: a practical recipe by Shogo Nagaoka, Youichiro Takada, Yu Morishita

“…Abstract L-band Interferometric Synthetic Aperture Radar (InSAR) is advantageous in measuring surface deformation over densely vegetated areas as the L-band radio waves scattered by the forest are more coherent than C- and X-bands. One of the critical disadvantages of the L-band InSAR is its vulnerability to ionospheric disturbances. …”
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Sulfur-Fumigated Ginger Identification Method Based on Meta-Learning for Different Devices by Tianshu Wang, Jiawang He, Hui Yan, Kongfa Hu, Xichen Yang, Xia Zhang, Jinao Duan

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Extended VGG16 Deep-Learning Detects COVID-19 from Chest CT Images by abolfazl karimiyan abdar, seyyed mostafa sadjadi, ali bashirgonbadi, mehran naghibi, Hamid Soltanian-Zadeh

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Time Variability Correction of CMIP6 Climate Change Projections by Y. Shao, C. H. Bishop, S. Hobeichi, N. Nishant, G. Abramowitz, S. Sherwood

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A Machine-Learning-Based Analysis of Resting State Electroencephalogram Signals to Identify Latent Schizotypal and Bipolar Development in Healthy University Students by Flórián Gubics, Ádám Nagy, József Dombi, Antónia Pálfi, Zoltán Szabó, Zsolt János Viharos, Anh Tuan Hoang, Vilmos Bilicki, István Szendi

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Slope Surface Deformation Monitoring Based on Close-Range Photogrammetry: Laboratory Insights and Field Applications by Tianxin Lu, Peng Han, Wei Gong, Shuangshuang Li, Shuangling Mo, Kaiyan Hu, Yihua Zhang, Chunyu Mo, Yuyan Li, Ning An, Fangjun Li, BingBing Han, Baofeng Wan, Ruidong Li

“…In contrast, optical images can contain more information on slope displacement at a much lower cost. …”
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Numerical simulation and experimental investigation of low-temperature ethanol-assisted friction stirring processing on AZ31 alloy: microstructure evolution and enhanced wear/corro... by Tao Sun, Jinpeng Hu, Yu Liu, Wenbin Gao, Zhihui Yang, Guoqiang Huang, Xiaomei Feng, Yifu Shen

“…These beneficial effects culminate in a finer grain structure and a more uniform microstructure within the processed region. …”
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