Surface Change and Stability Analysis in Open-Pit Mines Using UAV Photogrammetric Data and Geospatial Analysis by Abdurahman Yasin Yiğit, Halil İbrahim Şenol

“…Surface variation > 0.20, roughness > 0.15, and verticality > 0.25 help one to identify zones of increased instability. …”
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A Lightweight Transformer-Based Spatiotemporal Analysis Prediction Algorithm for High-Dimensional Meteorological Data by Yinghao Tan, Junfeng Wu, Yihang Liu, Shiyu Shen, Xia Xu, Bin Pan

“…Apart from slow conventional numerical weather prediction methods, recently developed deep learning methods often fail to fully integrate spatial information of the high-dimensional data and require a significant amount of computational resources. …”
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Combination treatment with acupoint therapy and conventional medication for non-motor symptoms in Parkinson’s disease: a systematic review and meta-analysis by Wenjiao Hu, Wenjiao Hu, Hao Zhou, Wenwen Zhu, Wenwen Zhu, Songcheng Xie, Songcheng Xie, Yue Zeng, Zhengyan Wang, Zhengyan Wang

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Genetic Diversity and Mutation Frequency Databases in Ethnic Populations: Systematic Review by Shumaila Khan, Mahmood Alam, Iqbal Qasim, Shahnaz Khan, Wahab Khan, Orken Mamyrbayev, Ainur Akhmediyarova, Nurzhan Mukazhanov, Zhibek Alibiyeva

“…ObjectiveThe aim of this study is to systematically evaluate 42 NEMDBs to (1) quantify gaps in standardization (70% nonstandard formats, 50% outdated data), (2) propose artificial intelligence/linked open data solutions for interoperability, and (3) highlight clinical implications for precision medicine across NEMDBs. MethodsA systematic approach was used to assess the databases based on several criteria, including data collection methods, system design, and querying mechanisms. …”
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Insight on the relationship between heart rate variability parameters and the risk of stroke among non-valvular paroxysmal atrial fibrillation patients by Yaohua Bu, Fabrice Yves Ndjana Lessomo, Zhiquan Wang

“…While AVFD (abnormal variation in frequency domain) and AVA (abnormal variation in arrhythmogenicity) were not individually significant, a combined variable (CDV) from AVTD, AVFD, and AVA was also statistically significant (P = 0.029). …”
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Advancements in DNA methylation technologies and their application in cancer diagnosis by Yang Yang, Xiaosha Wen, Li Wang

“…DNA methylation is a common epigenetic modification that maintains the integrity of the DNA sequence while profoundly influencing gene expression and phenotypic variation. …”
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RSCIWANet: Regional Spatial-Channel Information Weighted Attention Network for Video SAR and Large-Scale SAR Image Targets Detection by Hao Chang, Ping Lang, Xiongjun Fu, Kunyi Guo, Xinqing Sheng, Jialin Guan, Chuyi Liu

“…Synthetic aperture radar (SAR) encounters distinct challenges in airborne surveillance (dynamic scene variations, target edge blurring) and spaceborne observation (large-scale analysis, high-resolution processing). …”
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Comprehensive pan-cancer analysis of NLRs family as prognostic and immunity markers based on multi-omics data by Xianhui Wen, Miaomiao Cui, Junhua Zhang, Hai Huang

“…This study comprehensively investigated the role of NLRs in cancer through multi-omics analysis, which is of great necessity for a deeper understanding of the pathogenesis of cancer, improvement of cancer prognosis assessment, promotion of drug development, and advancement of precision medicine. Methods A multi-omics analysis was performed on data from over 10,000 individuals, integrating genomics, epigenomics, transcriptomics, proteomics, and immunogenomics. …”
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CVNet: Lightweight Cross-View Vehicle ReID with Multi-Scale Localization by Wenji Yin, Baixuan Han, Yueping Peng, Hexiang Hao, Zecong Ye, Yu Shen, Yanjun Cai, Wenchao Kang

“…The MSL module employs multi-scale depthwise separable convolutions and a localization attention mechanism to extract multi-scale features and localize salient regions, addressing viewpoint variations. DFC employs a dual-branch design comprising deep and shallow branches, integrating a filtration module optimized via neural architecture search, a collaboration module, and lightweight convolutions. …”
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Quantitative and qualitative risk assessment techniques in construction: insights from Nigeria by Martin Asaa, Abubakar Mahmud, Nura Yunusa

“…In a context characterized by frequent project delays, cost overruns, and scarce historical data, the research combines both quantitative and qualitative methods to evaluate construction risks. Monte Carlo simulation was used to generate probabilistic forecasts of cost and time variations, while sensitivity analysis identified the most influential risk variables, and Fault Tree Analysis traced the root causes of potential project failures. …”
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Effects of ambient temperature and 37 °C on biological characteristics of processed oligoasthenoteratozoospermic spermatozoa by Sajjad Shahmohammadi, Fatemeh Dehghanpour, Ali Nabi, Moones Vasiee, Mohammad Ali Khalili

“…Objective: To assess the biological characteristics of human spermatozoa at room temperature (RT, 25 °C) and 37 °C at different time intervals (0, 0.5, 2, and 24 h) post liquefaction. Methods: Twenty oligoasthenoteratozoospermic samples after liquefaction were incubated at 37 °C or RT. …”
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A Bidirectional Cross Spatiotemporal Fusion Network with Spectral Restoration for Remote Sensing Imagery by Dandan Zhou, Ke Wu, Gang Xu

“…Experiments on three datasets demonstrate the superiority of BCSR-STF, achieving significant improvements in capturing seasonal variations and handling abrupt land cover changes compared to state-of-the-art methods.…”
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Anion exchange membrane test protocol validation by Su Min Ahn, Andrew Boudreau, Anthony C. Ekennia, Anthony C. Ekennia, Anthony C. Ekennia, Anthony C. Ekennia, Alexis Palau, Olivia T. Vulpin, Minkyoung Kwak, Minkyoung Kwak, Minkyoung Kwak, Minkyoung Kwak, Yu Seung Kim, Shannon W. Boettcher, Shannon W. Boettcher, Shannon W. Boettcher, Shannon W. Boettcher, Eun Joo Park, George M. Roberts, Sergio I. Perez Bakovic, Katherine E. Ayers

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Eco-SystemApproach for Assessing Agrarian Sustainability in Bulgaria by H. Bachev, G. Kharlamova

“…The study has found out that there is a considerable differentiation in the level of integral sustainability in agricultural ecosystems of different types. …”
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Incubation Processes in Solving Problems: Current State and Prospects of Research by N.S. Kuliev

“…The shortcomings of existing research methods have been identified, including the lack of standardization in the definition of incubation, variations in experimental designs and differences in the interpretation of the duration of the incubation period. …”
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Green System Effects on Energy Environmental Sustainability of Urban Built-Up Areas by Carla Balocco, Giacomo Pierucci, Cristina Piselli

“…This work presents a methodological approach for the assessment of the combined effects of air enthalpy variations due to the presence of green systems and building thermodynamics. …”
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Leveraging AI in ayurvedic agriculture: A RAG chatbot for comprehensive medicinal plant insights using hybrid deep learning approaches by Biplov Paneru, Bipul Thapa, Bishwash Paneru

“…By training and testing on the dataset that includes varieties of plant types, we select the efficient model after a detailed analysis of a variety of models, dataset split variations, and hyperparameter tuning. The selected model integrates into a retrieval augmented generation (RAG) application capable of providing various insights on the plant identified. …”
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Comparative Analysis of Genomic Prediction for Production Traits Using Genomic Annotation and a Genome-Wide Association Study at Sequencing Levels in Beef Cattle by Zhida Zhao, Qunhao Niu, Tianyi Wu, Feng Liu, Zezhao Wang, Huijiang Gao, Junya Li, Bo Zhu, Lingyang Xu

“…Also, GP using GBLUP and Bayesian methods integrating biological priors for single-trait GWAS can significantly increase the prediction accuracy. …”
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Adapting Efficiency Analysis in Health Systems: A Scoping Review of Data Envelopment Analysis Applications During the COVID-19 Pandemic by Athanasios Mitakos, Panagiotis Mpogiatzidis

“…Notably, several studies integrated advanced computational methods, including machine learning, into traditional DEA, paving the way for enhanced analytical capabilities. …”
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MCFNet: Multi-Scale Contextual Fusion Network for Salient Object Detection in Optical Remote Sensing Images by Jinting Ding, Yueqian Quan, Honghui Xu

“…By producing preliminary semantic masks, SAM enables the network to capture long-range contextual dependencies, thereby enhancing localization accuracy for salient objects exhibiting substantial scale variation and structural complexity. In addition, MCFNet integrates a Contextual Interconnection Module (CIM), which promotes effective fusion of local and global contextual features. …”
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