NNLO PDFs driven by top-quark data by S. Alekhin, M. V. Garzelli, S.-O. Moch, O. Zenaiev

“…Abstract We study the impact of state-of-the-art top-quark data collected at the large hadron collider on parton distribution functions (PDFs). …”
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Screening of multi deep learning-based de novo molecular generation models and their application for specific target molecular generation by Yishu Wang, Mengyao Guo, Xiaomin Chen, Dongmei Ai

“…Abstract Traditional virtual screening methods need to explore expanse and vast chemical spaces and need to be based on existing chemical libraries. …”
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Enhancing depression recognition through a mixed expert model by integrating speaker-related and emotion-related features by Weitong Guo, Qian He, Ziyu Lin, Xiaolong Bu, Ziyang Wang, Dong Li, Hongwu Yang

“…Abstract The World Health Organization predicts that by 2030, depression will be the most common mental disorder, significantly affecting individuals, families, and society. …”
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Computer-aided cholelithiasis diagnosis using explainable convolutional neural network by Dheeraj Kumar, Mayuri A. Mehta, Ketan Kotecha, Ambarish Kulkarni

“…Abstract Accurate and precise identification of cholelithiasis is essential for saving the lives of millions of people worldwide. …”
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Microscale search-based algorithm based on time-space transfer for automated test case generation by Yinghan Hong, Fangqing Liu, Han Huang, Yi Xiang, Xueming Yan, Guizhen Mai

“…Abstract Automated test case generation for path coverage (ATCG-PC) is a major challenge in search-based software engineering due to its complexity as a large-scale black-box optimization problem. …”
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Contrastive-learning of language embedding and biological features for cross modality encoding and effector prediction by Yue Peng, Junze Wu, Yi Sun, Yuanxing Zhang, Qiyao Wang, Shuai Shao

“…Abstract Identifying and characterizing virulence proteins secreted by Gram-negative bacteria are fundamental for deciphering microbial pathogenicity as well as aiding the development of therapeutic strategies. …”
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TMFN: a text-based multimodal fusion network with multi-scale feature extraction and unsupervised contrastive learning for multimodal sentiment analysis by Junsong Fu, Youjia Fu, Huixia Xue, Zihao Xu

“…Abstract Multimodal sentiment analysis (MSA) is crucial in human-computer interaction. …”
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DMR: disentangled and denoised learning for multi-behavior recommendation by Yijia Zhang, Wanyu Chen, Fei Cai, Zhenkun Shi, Feng Qi

“…Abstract In recommender systems, leveraging auxiliary behaviors (e.g. view, cart) to enhance the recommendation in the target behavior (e.g. purchase) is crucial for mitigating the sparsity issue inherent in single-behavior recommendation. …”
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Mape: defending against transferable adversarial attacks using multi-source adversarial perturbations elimination by Xinlei Liu, Jichao Xie, Tao Hu, Peng Yi, Yuxiang Hu, Shumin Huo, Zhen Zhang

“…Abstract Neural networks are vulnerable to meticulously crafted adversarial examples, leading to high-confidence misclassifications in image classification tasks. …”
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Learning under label noise through few-shot human-in-the-loop refinement by Aaqib Saeed, Dimitris Spathis, Jungwoo Oh, Edward Choi, Ali Etemad

“…Abstract Wearable technologies enable continuous monitoring of various health metrics, such as physical activity, heart rate, sleep, and stress levels. …”
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TGF-β induces cholesterol accumulation to regulate the secretion of tumor-derived extracellular vesicles by Dorival Mendes Rodrigues-Junior, Chrysoula Tsirigoti, Konstantina Psatha, Dimitris Kletsas, Michalis Aivaliotis, Carl-Henrik Heldin, Aristidis Moustakas

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Pengelompokan Hasil Pencarian Skripsi Berbahasa Indonesia Menggunakan Metode DBSCAN dengan Pembobotan BM25 by Rangga Adi Satria, Indriati Indriati, Sutrisno Sutrisno

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The application of grey statistical method and analytic hierarchy process in the evaluation of community park rehabilitation landscapes by Qingtao Cheng, Qiuping Li

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Enhanced cloud removal via temporal U-Net and cloud cover evolution simulation by Qingwei Tong, Leiguang Wang, Qinling Dai, Chen Zheng, Fangrong Zhou

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An Overview of Experiments and Numerical Simulations on Airflow and Aerosols Deposition in Human Airways and the Role of Bioaerosol Motion in COVID-19 Transmission by Justus Kavita Mutuku, Wen-Che Hou, Wei-Hsin Chen

“…Abstract Determining the hotspots and deposition efficiencies (DEs) for aerosols in human airways is important for both research and medical purposes. …”
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Relationship between programmed cell death and targeted therapy for thyroid cancer in patients with a poor prognosis: an update by Yuejia Zhao, Simeng Zhao, Zhe Fan, Yongfu Zhao, Guangzhi Wang

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Prioritizing information over grammar: a behavioral investigation of information density and rhetorical discourse effects on EFL listening comprehension by Mohamed A. Mekheimer, A. I. Fageeh

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Splicing behaviour of GFRP, BFRP, and steel bars in reinforced concrete beams by Hala Mamdouh, Ahmed Hassan, Nasr Zenhom, Amr Ali, O. A. Mohamed, Amany Salman

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Mine water inflow prediction model based on variational mode decomposition and gated recurrent units optimized by improved chimp optimization algorithm by Juntao Chen, Mingjin Fan

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A polysaccharide-based hydrogel platform for tumor spheroid production and anticancer drug screening by Elliot Lopez-Vince, Teresa Simon-Yarza, Claire Wilhelm

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