Toward Reliable Post-Disaster Assessment: Advancing Building Damage Detection Using You Only Look Once Convolutional Neural Network and Satellite Imagery by César Luis Moreno González, Germán A. Montoya, Carlos Lozano Garzón

“…These findings contribute to machine learning-based disaster response, offering an efficient, cost-effective framework for large-scale damage assessment and reinforcing the importance of model selection, hyperparameter tuning, and optimization functions in critical real-world applications.…”
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A Framework for Upgrading Contaminated Urban Land and Soil by Nature-Based Solutions: Demonstration with a Swedish Case by Shaswati Chowdhury, Yevheniya Volchko, Jenny Norrman

“…GROs are plant-, fungi-, bacteria-, and soil amendments-based risk management mechanisms that can also simultaneously improve soil functions and the provision of ecosystem services. …”
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YOLO-LSM: A Lightweight UAV Target Detection Algorithm Based on Shallow and Multiscale Information Learning by Chenxing Wu, Changlong Cai, Feng Xiao, Jiahao Wang, Yulin Guo, Longhui Ma

“…Different from previous work on medical detection, this study tailors YOLO-LSM for UAV-based small object detection by introducing targeted improvements in feature extraction, detection heads, and loss functions, achieving better adaptation to aerial scenarios.…”
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The Influence of Head Teacher’s Leadership Styles on Service Delivery in Secondary Schools in Uganda: A Case Study of Ssembabule District. by Adoko, Vincent

“…The findings of the study indicates that under bureaucratic leadership, a high proportion of the respondents 24.6% agreed that Head teachers divide labor based on the functional specialization, 85 (35.0%) agreed that their schools have got a well-defined hierarchy of authority, 91 (37.9%) agreed with the statement that Head teachers practiced procedures for dealing with situation. 38.8% of the respondents under transactional leadership agreed that promotion and selection among teachers is based on technical competence that applied in the school. …”
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Organics in the stratosphere: new insights from weather balloon flights conducted in France by Roland Benoit, Hazel Vernier, Jean-Paul Vernier, Lilian Joly, Nicolas Dumelié, Gisèle Krysztofiak, Loïc Vieille, Sandrine Delpeux, Cyril Crevoisier, Philippe Dagaut, Gwenaël Berthet

“…Activated and functionalized carbon fabrics were used to target chemical compounds in the gaseous and aerosol forms during three flights over France. …”
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Phase reconstruction via metasurface-integrated quantum analog operation by Qiuying Li, Minggui Liang, Shuoqing Liu, Jiawei Liu, Shizhen Chen, Shuangchun Wen, Hailu Luo

“…Besides, the consistency of entangled photon pairs in time domain makes it possible to achieve a high SNR imaging by trigger detection. The results may potentially empower the application of metasurfaces in optical chip, wave function reconstruction, and label-free biology imaging.…”
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Network and systems biology approaches help investigate gene regulatory interactions between Salmonella disease and host in chickens: Model‐based in silico evidence combined with g... by Reza Tohidi, Hoda Javaheri Bargourooshi, Arash Javanmard

“…To start, we used free computational tools and online bioinformatics resources, including predicting gene function using a multiple association network integration algorithm (geneMania), the Kyoto Encyclopedia of Genes and Genomes, the Annotation, Visualization and Integrated Discovery (DAVID) database and the stimulator of interferon genes. …”
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Exploratory integration of near-infrared spectroscopy with clinical data: a machine learning approach for HCV detection in serum samples by Eloy Pérez-Gómez, José Gómez, José Gómez, Jennifer Gonzalo, Sergio Salgüero, Daniel Riado, María Luisa Casas, María Luisa Gutiérrez, Elena Jaime, Enrique Pérez-Martínez, Rafael García-Carretero, Javier Ramos, Conrado Fernández-Rodríguez, Conrado Fernández-Rodríguez, Myriam Catalá, Myriam Catalá, Luca Martino, Óscar Barquero-Pérez

“…BackgroundManaging chronic viral infections like Hepatitis C virus (HCV) often requires expensive healthcare resources and highly qualified personnel, making efficient diagnostic methods essential. …”
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The Propagation Properties of a Longitudinal Orbital Angular Momentum Multiplexing System in Atmospheric Turbulence by Qinghua Tian, Lei Zhu, Yongjun Wang, Qi Zhang, Bo Liu, Xiangjun Xin

“…The influences of system parameters on the average OAM mode probability densities are analyzed and discussed, such as propagation distance, strength of turbulence, sizes of finite aperture function, OAM mode numbers, and source parameters. …”
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Distinct repertoires of microRNAs present in mouse astrocytes compared to astrocyte-secreted exosomes. by Ana Jovičić, Aaron D Gitler

“…The exosomal miRNA profiling dataset we have generated will provide a resource to aid in the investigation of this selection mechanism. …”
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CADA: A Flexible and Elastic DDoS Mitigation Architecture by Junrui Wu, Zhige He, Wenyong Wang, Haoran Luo, Shuisong Hu, Yu Miao, Yubo Li, Jun Deng

“…Therefore, we propose a genetic algorithm-based quantitative deployment algorithm that generates deployment strategies for each service chain through a fitness function that quantifies response time and resource utilization. …”
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Extracellular vesicles in cancer´s communication: messages we can read and how to answer by Alena Semeradtova, Michaela Liegertova, Regina Herma, Magdalena Capkova, Chiara Brignole, Genny Del Zotto

“…This review provides a comprehensive overview of the biogenesis, composition, and functional roles of EVs in cancer, highlighting their significance in both basic research and clinical applications. …”
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A directed greybox fuzzer for windows applications by Xin Ren, Peng-fei Wang, Xu Zhou, Kai Lu

“…Abstract Directed greybox fuzzing (DGF) has proven effective in vulnerability discovery, but most efforts focus on the Linux platform, with substantially less attention devoted to Windows platform due to its closed-source and GUI software nature. This paper proposes WinDGF, a novel directed greybox fuzzer for Windows applications that addresses challenges including target function localization in persistent testing, GUI bypassing, and fitness metric calculation. …”
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Performance Analysis of Reconfigurable Intelligent Surface-Assisted Underwater Wireless Optical Communication Systems by Qi Zhang, Dian-Wu Yue, Xian-Ying Xu

“…In the RIS-assisted UWOC systems with intensity modulation and direct detection (IM-DD), we apply the approximate distribution of the sum of Gamma-Gamma random variables to derive the probability density function (PDF) of the instantaneous received signal-to-noise ratio (SNR) for the first time. …”
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Retracted: Wuju Opera Cultural Creative Products and Research on Visual Image Under VR Technology by Yahong Wang, Xiaobing Hu

“…The VR-Platform platform is used to establish a virtual three-dimensional landscape planning scene, and the roaming function can be realized by making cameras and adding collision detection. …”
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Identification of hypertension gene expression biomarkers based on the DeepGCFS algorithm. by Zongjin Li, Liqin Tian, Libing Bai, Zeyu Jia, Xiaoming Wu, Changxin Song

“…Gene expression data is an important source for obtaining hypertension biomarkers. However, this data has a small sample size and high feature dimensionality, posing challenges to biomarker identification. …”
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Systematic Analysis for fNIRS Measurement Combining Sensitivity and SNR Based on the Colin27 Brain Template by Yalin Wang, Wei Chen

“…Functional near-infrared spectroscopy (fNIRS) is widely used in brain science. …”
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Development and study on properties of tea flower soap by ZHANG Dan, LU Ying, LI Bo, YU Huajun, TU Youying

“…The polyphenols and flavonoids from the tea flower have antibacterial, ant-i allergic, and UV resistant function, and can inhibit oxidase lipid peroxidation. …”
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Multiobjective Optimization Design of Green Building Energy Consumption Based on Inorganic Thermal Insulation Nanomaterials by Yuan Yuan, Songtao Li

“…In order to solve the problem that building engineering construction needs to consume a lot of energy and cause environmental pollution, which will pose a great pressure on urban resources and environment, this paper proposes that, in building engineering construction, appropriate green construction technology must be selected in combination with the actual situation, so as to effectively reduce the energy consumption of building engineering and improve the use efficiency of building engineering. …”
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Hybrid Models for Forecasting Allocative Localization Error in Wireless Sensor Networks by Guo Li, Hongyu Sheng

“…This study presents a machine learning-based approach to forecast Allocative Localization Error (ALE) in Wireless Sensor Networks (WSNs), addressing challenges such as dynamic network topologies and resource constraints. The approach utilizes Radial Basis Function (RBF) models enhanced with advanced optimization algorithms, including Coot Optimization Algorithm (COA), Smell Agent Optimization (SAO), and Northern Goshawk Optimization (NGO) to improve ALE prediction accuracy. …”
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