A Preliminary Study to Evaluate Recovery in Environmental Microplastic Analysis by İrem Öztürk, Dilara Cinci, Fatma Nur Eraslan, Mansoor Ahmad Bhat, Eftade O. Gaga, Kadir Gedik

“…Microplastics (MPs) have attracted attention as a global concern due to their physicochemical properties, structural components, role as vectors for pollutants and potential health impacts. …”
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WTL-CNN: a news text classification method of convolutional neural network based on weighted word embedding by Weidong Zhao, Lin Zhu, Ming Wang, Xiliang Zhang, Jinming Zhang

“…Firstly, word2vec is used to convert text data into word vectors. Secondly, an improved TF-IDF algorithm is proposed to weight word vectors. …”
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Contextual semantics graph attention network model for entity resolution by Xiaojun Li, Shuai Fan, Junping Yao, Haifeng Sun

“…Abstract Entity resolution technology is the process of distinguishing whether data from different knowledge bases refer to the same entity in the real world. …”
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The Epidemic Risk of Dengue Fever in Japan: Climate Change and Seasonality by Xia Wang, Hiroshi Nishiura

“…Dengue fever is a leading cause of illness and death in the tropics and subtropics, and the disease has become a threat to many nonendemic countries where the competent vectors such as Aedes albopictus and Aedes aegypti are abundant. …”
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GMTP: Enhanced Travel Time Prediction with Graph Attention Network and BERT Integration by Ting Liu, Yuan Liu

“…(1) Background: Existing Vehicle travel time prediction applications face challenges in modeling complex road network and handling irregular spatiotemporal traffic state propagation. (2) Methods: To address these issues, we propose a Graph Attention-based Multi-Spatiotemporal Features for Travel Time Prediction (GMTP) model, which integrates an enhanced graph attention network (GATv2) and Bidirectional Encoder Representations from Transformers (BERT) to analyze dynamic correlations across spatial and temporal dimensions. The pre-training process consists of two blocks: the Road Segment Interaction Pattern to Enhance GATv2, which generates road segment representation vectors, and a traffic congestion-aware trajectory encoder by incorporating a shared attention mechanism for high computational efficiency. …”
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Drug-Drug interactions prediction calculations between cardiovascular drugs and antidepressants for discovering the potential co-medication risks. by Tie Hua Zhou, Tian Yu Jin, Xi Wei Wang, Ling Wang

“…Predicting Drug-Drug Interactions (DDIs) enables cost reduction and time savings in the drug discovery process, while effectively screening and optimizing drugs. …”
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A grid-based sectoring for energy-efficient wireless sensor networks by Nubunga Ishaya, Mustapha Aminu Bagiwa

“…However, its CH selection process remains suboptimal, leading to energy imbalance and inefficiencies due to fixed sector boundaries. …”
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New Drugs for the Treatment of DME and the Role of Biomarkers in Predicting Their Effectiveness by M. V. Budzinskaya, A. A. Plyukhova

“…They allow the identification of a normal biological or pathological process, becoming clinical and diagnostic tools in routine clinical practice. …”
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Rapid cochlear gene therapy in adult deaf mice: Vglut3 rescue via AAV8 achieves day-1 hearing restoration by Ting Zhang, Rongqun Zhai, Mengli Liu, Hongen Xu, Liang Wang, Wenxue Tang, Bei Chen, Xingle Zhao

“…This study provides critical insights into the dynamic processes underlying cochlear gene therapy and challenges the conventional paradigm that 1–2 weeks are required for functional recovery.…”
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Development of nucleic acid-based vaccines against dengue and other mosquito-borne flaviviruses: the past, present, and future by Muhammad Bashir Bello, Ahlam Alsaadi, Asif Naeem, Sarah A. Almahboub, Mohammad Bosaeed, Mohammad Bosaeed, Safia S. Aljedani

“…Currently, vaccines are available for only DENV, YFV, and JEV, but these face several challenges, including safety concerns, lengthy production processes, and logistical difficulties in distribution, especially in resource-limited regions, highlighting the urgent need for innovative vaccine approaches. …”
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Fast Analysis of Multi-Layered Anisotropic Electromagnetic Propagation Based on Z-Transform Finite-Difference Time-Domain Method with Scale-Compressed Technique by Yuxian Zhang, Yilin Kang, Xiaoli Feng, Lixia Yang, Zhixiang Huang

“…On first place, considering constitutive relationship between electromagnetic fields (E, H) and fluxes (D, B), Z-transform is employed to the anisotropic Maxwell’s curl equations for completing discrete-time form, and then the transverse wave vectors are exploited along a single direction to design the electromagnetic numerical differential process. …”
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Understanding metro station areas’ functional characteristics via embedding representation: A case study of shanghai by Heping Jiang, Ruihua Liu, Shijia Luo, Disheng Yi, Jing Zhang

“…This study introduces a framework that improves the process of accurately representing station areas. …”
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Avian Influenza Virus: Comparative Evolution as the Key for Predicting Host Tropism Expansion by Matteo Mellace, Carlotta Ceniti, Marielda Cataldi, Luca Borrelli, Bruno Tilocca

“…Eight viral proteins involved in the process of adaptation to new hosts were selected, and 156 amino acid mutations potentially associated with interspecies transmission were analyzed. …”
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Human Similar Activity Recognition Using Millimeter-Wave Radar Based on CNN-BiLSTM and Class Activation Mapping by Xiaochuan Wu, Zengyi Ling, Xin Zhang, Zhanchao Ma, Weibo Deng

“…The spectrogram is formed by processing the radar echo signal. The high-dimensional features are extracted by CNN, and then the corresponding feature vectors are fed into the BiLSTM to obtain the recognition results. …”
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Stokes Space Modulation Format Identification for Optical Signals Using Probabilistic Neural Network by Ming Hao, Lianshan Yan, Anlin Yi, Lin Jiang, Yan Pan, Wei Pan, Bin Luo

“…To further identify PDM-<italic>m</italic>PSK signals, the constellation feature of Stokes vectors on <italic>s</italic>₂&#x2013;<italic>s</italic>₃ plane is extracted by image processing techniques and then processed by PNN. …”
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AlexCapsNet: An Integrated Architecture for Image Classification With Background Noise by Muyi Bao, Nanlin Jin, Ming Xu

“…This process is achieved by the dynamic routing algorithm and can maintain the image&#x2019;s spatial hierarchies. …”
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Reverse Engineering of Free-Form Surface Based on the Closed-Loop Theory by Xue Ming He, Jun Fei He, Mei Ping Wu, Rong Zhang, Xiao Gang Ji

“…Integrated measurement, reconstruction, and evaluation, with the closed-loop reverse process, established an accurate model. The results of example show that the measuring points are distributed over the surface according to curvature, and the reconstruction model can be completely expressed with micron level. …”
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Privacy-Preserving Image Retrieval and Sharing in Social Multimedia Applications by Zongye Zhang, Fucai Zhou, Shiyue Qin, Qiang Jia, Zifeng Xu

“…First, the users extract visual features from the images, and perform locality-sensitive hashing functions on visual features to generate image profile vectors. We then model the retrieval on the images as the equality search on the image profile vectors. …”
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Evaluation of dynamic characteristics of a linear time-varying system by Volt Avdieiev

“…It is possible to have an estimate of the margin of stability, type and duration of the transient process during the selected time interval of the system operation by using the mathematical apparatus of linear stationary systems. …”
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Evaluation of dynamic characteristics of a linear time-varying system by Volt Avdieiev

“…It is possible to have an estimate of the margin of stability, type and duration of the transient process during the selected time interval of the system operation by using the mathematical apparatus of linear stationary systems. …”
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