A hyperspectral and multi-angular synthetic dataset for algorithm development in waters of varying trophic levels and optical complexity by J. Pitarch, V. E. Brando, V. E. Brando

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Multi-active phlorotannins boost antimicrobial peptide LL-37 to promote periodontal tissue regeneration in diabetic periodontitis by Cancan Li, Luowen Du, Yingying Xiao, Lei Fan, Quanli Li, Chris Ying Cao

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Enhanced Lung Cancer Prediction via Integrated Multi‐Space Feature Adaptation, Collaborative Alignment and Disentanglement Learning by Abigail Kawama, Ronald Waweru Mwangi, Lawrence Nderu

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A multi-criteria optimization for a radial heat sink with semicircular fins based on the design of experiments approach by Yousif Hashim Hussein, Tahseen Ahmad Tahseen, Abdulrazzak Akroot, M.A.H. Mithu, Ammar M. Abdulateef

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Integration of Multi-Source Landslide Disaster Data Based on Flink Framework and APSO Load Balancing Task Scheduling by Zongmin Wang, Huangtaojun Liang, Haibo Yang, Mengyu Li, Yingchun Cai

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Understanding participation intention and word-of-mouth intention in voter contact: A framework based on the theory of planned behaviour by Nguyễn Thanh Nhàn

“…The participation of citizens in voter contact is one of the crucial issues for the People’s Council at the grassroots level to carry out their duties and legal powers effectively. This study aims to identify the determinants of citizens’ intention to participate and engage in word-of-mouth communication in voter contact activities based on the theory of planned behavior. …”
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Downscaling and Projection of Multi-CMIP5 Precipitation Using Machine Learning Methods in the Upper Han River Basin by Ren Xu, Nengcheng Chen, Yumin Chen, Zeqiang Chen

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Enhancing Tropical Cyclone Risk Assessments: A Multi-Hazard Approach for Queensland, Australia and Viti Levu, Fiji by Jane Nguyen, Michael Kaspi, Kade Berman, Cameron Do, Andrew B. Watkins, Yuriy Kuleshov

“…Tropical cyclones (TCs) are natural hazards causing extensive damage to society, infrastructure, and the natural environment. Due to the multi-hazardous nature of TCs, comprehensive risk assessments are essential to understanding how to better prepare for potential impacts. …”
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Designing a broad-spectrum multi-epitope subunit vaccine against leptospirosis using immunoinformatics and structural approaches by Guneswar Sethi, Guneswar Sethi, Young Kyu Kim, Su-Cheol Han, Jeong Ho Hwang, Jeong Ho Hwang

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Development of an Aerial Manipulation System Using Onboard Cameras and a Multi-Fingered Robotic Hand with Proximity Sensors by Ryuki Sato, Etienne Marco Badard, Chaves Silva Romulo, Tadashi Wada, Aiguo Ming

“…In this paper, an aerial manipulation system consisting of a UAV, two onboard cameras, and a multi-fingered robotic hand with proximity sensors is developed. …”
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The Influence of Multi-Sensory Perception on Public Activity in Urban Street Spaces: An Empirical Study Grounded in Landsenses Ecology by Tianqi Han, Lina Tang, Jiang Liu, Siyu Jiang, Jinshan Yan

“…These results provide valuable insights for integrating multi-sensory experiences into urban design.…”
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Development of a Multi-Sensor Mobile Device for Urban Air Quality Monitoring at the Street Corner: The SMILE Project by Jonas Pellegrino, Hassen Aziza, Mathieu Guerin, Pascal Taranto, Wenceslas Rahajandraibe, Blaise Ravelo

“…In this context, this paper introduces an innovative multi-sensor air quality monitoring (AQM) device designed to address the critical challenge of atmospheric pollution in urban environments. …”
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Critical Oscillation Constant for Euler Type Half-Linear Differential Equation Having Multi-Different Periodic Coefficients by Adil Misir, Banu Mermerkaya

“…We compute explicitly the oscillation constant for Euler type half-linear second-order differential equation having multi-different periodic coefficients.…”
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Mapping global annual urban land cover fractions (2001–2020) derived with multi-objective deep learning by Haoyu Wang, Qian Wang, Xiuyuan Zhang, Shihong Du, Lubin Bai, Shuping Xiong

“…Accordingly, this study proposes a novel deep learning unmixing algorithm, Normalized Non-negative Multi-objective Residual T-ConvLSTM (NNMRT) model, with strong encoding and recognition capacities for extracting GAULCF. …”
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Research on foreign body detection in transmission lines based on a multi-UAV cooperative system and YOLOv7 by R. Chang, Z.X. Mao, J. Hu, H.C. Bai, C.J. Zhou, Y. Yang, S. Gao

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Hybrid ML Algorithm for Fault Classification in Transmission Lines Using Multi-Target Ensemble Classifier with Limited Data by Abdallah El Ghaly

“…However, the true efficacy of these algorithms was evaluated by minimizing the dataset to 231 training samples, with the remainder being used for testing. A novel Multi-Target Ensemble Classifier was developed to improve classification accuracy. …”
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Novel RFID Multi-Label Network Location Measurement by Dual CCD and Non-Local Means–Harris Algorithm by Lin Li, Zhixin Jin, Junji Li, Zelin Zhang

“…To improve the performance of Radio Frequency Identification (RFID) multi-label systems, the multi-label network structure needs to be quickly located and optimized. …”
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Design of Archimedes Screw Turbine by Multi-step Selections on Parameter Pitch Distance, Blade Number, and Blade Angle by Sarjito, Agus Dwi Anggono, Wijianto, Fauzan Anas Wirawan, Sidik Kurniawan, Bagus Dwi Nugroho

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Classification of Stages 1,2,3 and Preplus, Plus disease of ROP using MultiCNN_LSTM classifier by Ranjana Agrawal, Sucheta Kulkarni, Madan Deshpande, Anita Gaikwad, Rahee Walambe, Ketan V. Kotecha

Subjects: “…MultiCNN_LSTM classifier for Classification of Early Stages and Pre-plus, plus disease of ROP…”
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Multi-omic and machine learning analysis of mitochondrial RNA modification genes in lung adenocarcinoma for prognostic and therapeutic implications by Xiao Zhang, Jiatao Liu, Yaolin Cao, Wei Wang, Haoran Lin, Yue Yu

“…Recognizing the pivotal role of mitochondrial RNA modifications (MRM) in cancer progression, this study aims to provide a comprehensive analysis of MRM-related genes and their clinical relevance in lung adenocarcinoma (LUAD). Integrating multi-omic datasets, we systematically explored the molecular features of MRM-related genes across various cancers and identified distinct expression patterns and prognostic associations. …”
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