Urban Functional Zone Identification Based on Multimodal Data Fusion: A Case Study of Chongqing’s Central Urban Area by Yongchuan Zhang, Yuhong Xu, Jie Gao, Zunya Zhao, Jing Sun, Fengyun Mu

“…The experimental data are generated by mapping OpenStreetMap (OSM) vector into conceptual representations, integrating images with social sensing data to create a comprehensive UFZ classification benchmark. …”
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Serine Hydroxymethyltransferase Modulates Midgut Physiology in <i>Aedes aegypti</i> Through miRNA Regulation: Insights from Small RNA Sequencing and Gene Expression Analysis by Qian Pu, Yujiao Han, Zhuanzhuan Su, Houming Ren, Qingshan Ou, Symphony Kashyap, Shiping Liu

“…<i>Aedes aegypti</i> mosquitoes are critical vectors of arboviruses, responsible for transmitting pathogens that pose significant public health challenges. …”
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Stress-induced premature senescence in high five cell cultures: a principal factor in cell-density effects by Rui Min, Dahe Zhang, Mingzhe He, Jingyuan Chen, Xiaoping Yi, Yingping Zhuang

“…Abstract The Baculovirus Expression Vector System (BEVS) is highly valued in vaccine development, protein engineering, and drug metabolism research due to its biosafety, operational convenience, rapid scalability, and capacity for self-assembling virus-like particles. …”
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Automatic construction of global cloud sample database based on Landsat imagery by Tao He, Guihua Huang, Lei Zhang, Daiqiang Wu, Yichuan Ma

“…In addition to RF, light gradient boosting machine (LightGBM), multilayer perceptron (MLP), and support vector machine (SVM) were also trained based on UAC-CSD sample database and verified using L8_Biome. …”
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Improving SMART learning: Course completion via AI-driven hybrid system integration in big data by Abdellah Bakhouyi, Amine Dehbi, Lahcen Amhaimar, Said Broumi, Mohamed Talea, Abderrahim Khalidi

“…Integrating artificial intelligence in hybrid systems for big data management and processing is highly pertinent within smart-learning. …”
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Universal professional skills of the modern teacher within the framework of digitalization of higher education by Liliia R. Nurtdinova

“…The European paradigm is one of the main guiding vectors for Russian education. The introduction of the main aspects of the Bologna process dictates the continuous development of not only the educational process, but also all the people involved in it, including teachers. …”
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MATERIAL SELECTION WITH A STATISTICAL METHOD by Adrian Stere PARIS, Constantin TÂRCOLEA

“…The paper presents an overview of the methods in the materials selection, offers some statistical heuristics in the decision process and a few ideas about a statistical approach for engineering applications, with some solved numerical examples. …”
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Formation of students' social responsibility in a rapidly changing society by E. I. Antipova, R. A. Litvak

“…The study specifies the vectors to explore the process of the formation the social responsibility as a phenomenon of socio-cultural personal development where the values of the historically verified social experience and modern life-meaning guidelines are manifested. …”
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Efficient Discretization of the Laplacian: Application to Moving Boundary Problems by Sebastian-Josue Castillo, Ferenc Izsák

“…The optimal coefficients for the approximation are computed using a pointwise optimization process. In this process, an overdetermined system is solved in the least-square sense using weighted polynomial approximation. …”
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Development of Smart Models to Accurately Predict Dynamic Viscosity of CO2-Saturated Polyethylene Glycol by Ayat Hussein Adhab, Morug Salih Mahdi, Bhavesh Kanabar, Anupam Yadav, Ranganathaswamy M K, Rishabh Thakur, Parveen Kumar, Braj Krishna, Aseel Salah Mansoor, Usama Kadem Radi, Nasr Saadoun Abd, Samim Sherzod

“…Precise estimation of viscosity of CO2-saturated PEG is crucial for several scientific and industrial applications, as viscosity directly impacts the material’s performance and feasibility in specific processes. This study, hence, introduces machine learning models utilizing K-nearest neighbors, decision tree, adaptive boosting, multilayer perceptron artificial neural network, convolutional neural network, support vector machine, random forest and ensemble learning algorithms to accurately forecast the dynamic viscosity of CO2-saturated PEG based on PEG molar mass, pressure, and temperature. …”
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Binary Decision Support Using AHP: A Model for Alternative Analysis by Edvan Gomes da Silva, Fernando Rocha Moreira, Marcus Aurélio Carvalho Georg, Rildo Ribeiro dos Santos, Luiz Antônio Ribeiro Júnior, Rafael Rabelo Nunes

“…Additionally, by inverting the priority vectors, the model allowed for a comparative analysis of both decision alternatives, thus offering more profound insights into the classification process. …”
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Cascaded Machine Learning of Soil Moisture and Salinity Prediction in Estuarine Wetlands Based on In Situ Internet of Things Monitoring by Jie Song, Yujun Yi

“…Abstract Estuarine wetlands, formed by the interaction of fluvial and tidal processes, exhibit complex spatiotemporal variations in soil moisture and salinity. …”
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PCCNN: A CNN classification model integrating EEG time-frequency features for stroke classification by Teng Wang, Fenglian Li, Jia Yang, Wenhui Jia, Fengyun Hu

“…Unlike single-channel data or simple multi-channel concatenation, our method processes EEG data as a channel matrix, significantly improving classification performance. …”
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Intelligent identification method of origin for Alismatis Rhizoma based on image and machine learning by Wenqi Zhao, Zongyi Zhao, Wen Zheng, Zimin Wang, Gaoting Yang, Zhiqiong Lan, Xiaoli Pan, Min Li

“…These results suggest that image processing combined with the RF model can quickly and effectively identify the complex origins of AR and can provide a reference for the origins identification of other natural medicines.…”
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Hybrid CNN-Ensemble Framework for Intelligent Optical Fiber Fault Detection and Diagnosis by Salem Titouni, Idris Messaoudene, Yassine Himeur, Omar Alnaseri, Farouk Chetouah, Boualem Hammache, Massinissa Belazzoug, Shadi Atalla, Wathiq Mansoor

“…This paper introduces a novel Hybrid CNN-Ensemble framework, combining convolutional neural networks (CNNs) for deep feature extraction with ensemble learning techniques including XGBoost, Support Vector Machines (SVM), and Random Forest (RF). The framework processes CNN-extracted features from OTDR traces, with predictions aggregated through a meta-classifier. …”
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Ultrastructural changes in the midgut of Ixodes ricinus nymphs across feeding and digestion stages by Veronika Urbanová, Marie Vancová, František Kitzberger, Jiří Týč, Tomáš Bílý, Tereza Kozelková, Petr Kopáček, Daniel Sojka

“…Our findings enhance the understanding of tick gut cell biology, particularly nutrient processing and energy metabolism, providing a foundation for future research on tick physiology and vector competence.…”
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Genetic diversity of Lecanicillium lecanii and its pathogenicity against Diaphorina citri by Lu Lianming, Cheng Baoping, Du Danchao, Hu Xiurong, Pu Zhanxu, Chen Guoqing

“…Diaphorina citri may be the most serious pest of citrus worldwide, primarily because it is the vector of huanglongbing (HLB), one of the most destructive citrus diseases, and can damage citrus directly by feeding fresh shoots and cause citrus sooty mold disease. …”
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Chloroquine induces eryptosis in P. falciparum-infected red blood cells and the release of extracellular vesicles with a unique protein profile by Claudia Carrera-Bravo, Claudia Carrera-Bravo, Tianchi Zhou, Tianchi Zhou, Trang Chu, Jing Wen Hang, Harshvardhan Modh, Chenyuan Huang, Chenyuan Huang, Sitong Zhang, Sitong Zhang, Haining Hao, Haining Hao, Haining Hao, María José Cabada-García, Benoit Malleret, Benoit Malleret, Matthias G. Wacker, Jiong-Wei Wang, Jiong-Wei Wang, Jiong-Wei Wang, Jiong-Wei Wang, Laurent Rénia, Kevin S. W. Tan

“…IntroductionMalaria is a vector-borne parasitic disease that affects millions worldwide. …”
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Screening the Unidentified Noncommunicable Disease Prevalence in Orthopedic Outpatient Department in a Tertiary Care Teaching Institute in India by Vetrivel C Sengodan, Kalidas Ponnusami, Vijay KA Subramaniyan, Venkatesh Venkatachalam, Sreehari Vikram

“…With the burden of NCDs rising faster than that of communicable diseases like human immunodeficiency virus (HIV), tuberculosis (TB), and other vector- or waterborne illnesses, India is going through a rapid health shift. …”
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Therapeutic effects and mechanisms of Xinmaitong formula for type 2 diabetes mellitus via GLP-1R signaling by Weidong Pu, Weidong Pu, Weidong Pu, Yang Pan, Yang Pan, Yang Pan, Kang Yang, Kang Yang, Kang Yang, Jian Gao, Jian Gao, Jian Gao, Fen Tian, Fen Tian, Fen Tian, Jingrui Song, Jingrui Song, Yubing Huang, Yubing Huang, Yanmei Li, Yanmei Li, Yanmei Li

“…This study aimed to investigate the therapeutic effects and potential mechanisms of XMT in the treatment of T2DM, focusing on the glucagon-like peptide-1 receptor (GLP-1R) signaling pathway.MethodsA TCM formula that promotes GLP-1R expression was screened using a GLP-1R promoter-dependent luciferase reporter gene vector (PGL3-GLP-1R-luc). The T2DM mouse model was established using a high-fat diet and streptozotocin (STZ). …”
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