Radar Detection Simulation by Digital Twins of Target and Antenna System by A. S. Grigoriev, A. A. Kazantsev, A. M. Terentyev, B. S. Stavtsev

“…The application of digital twin technology allows the focus of development to be shifted to the earliest stages, thereby significantly reducing not only potential risks, but also saving the required time and material resources. Classical statistical approaches to evaluating the detection capabilities of radar systems fail to provide a complete dynamic picture due to the large number of varying parameters.Aim. …”
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Statistically Optimized Near-Field Acoustic Holography Using Prolate Spheroidal Wave Functions by Xuxin Zhang, Jingjun Lou, Jinfang Lu, Ronghua Li, Shijian Zhu

“…Near-field acoustic holography (NAH) is an effective tool for realizing accurate sound field reconstruction in three-dimensional space on the prerequisite that appropriate elementary wave functions are selected or constructed to match the characteristics of the sound sources. …”
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A METHOD FOR INVESTIGATING MACHINE LEARNING ATTACKS ON ARBITER-TYPE PHYSICALLY UNCLONABLE FUNCTIONS by Yuri A. Korotaev

“…This approach allows for a preliminary evaluation of the effectiveness of different algorithms for attacking APUFs without access to challenge-response datasets from real instances of physically unclonable functions. Attacks were conducted on models of basic and modified variants of APUFs from the open-source library "pypuf", using classical logistic regression and artificial neural networks (ANNs). …”
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Forecasting springtime rainfall in southeastern Australia using empirical orthogonal functions and neural networks by S. Marčelja

“…In addition to standard ocean climate indicators such as El Niño or the Indian Ocean Dipole, other typical patterns of variation are captured in terms of the temperatures of selected ocean areas. When characteristic patterns of correlation are discovered, they are included in the predictor selection in the form of expansion in terms of the empirical orthogonal functions (EOFs). …”
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Development of curd semi-finished product with functional properties by L. Yu. Lavrova, E. L. Bortsova, S. A. Ermakov

“…The article is devoted to the development of a curd semifinished product with a high content of dietary fiber. The food fibre source is represented by the use of natural apple pectin introduced in various dosages into curd cheesecakes instead of prime grade wheat flour. …”
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Improved CSW-YOLO Model for Bitter Melon Phenotype Detection by Haobin Xu, Xianhua Zhang, Weilin Shen, Zhiqiang Lin, Shuang Liu, Qi Jia, Honglong Li, Jingyuan Zheng, Fenglin Zhong

“…The diversity of bitter melon shapes has a direct impact on its market acceptance and consumer preferences, making precise identification of bitter melon germplasm resources crucial for breeding work. To address the limitations of time-consuming and less accurate traditional manual identification methods, there is a need to enhance the automation and intelligence of bitter melon phenotype detection. …”
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Detection of water surface targets based on improved Deformable DETR by Pengjiu WANG, Junbin Gong, Wei LUO, Xiao HUANG, Junjie GUO

“…Objective With technological advancements and the increasing demand for water resource exploration, water surface target detection plays a crucial role in various applications, such as ship navigation and maritime safety. …”
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A rapid and accurate method for Helicobacter pylori detection via integrating LAMP assay with CRISPR/Cas12b detection by one-step in one-pot by Yeqian Zhang, Tao Liu, Puhua Zhang, Bo Ni, Xingang Wang, Long Bai, Wei Sun, Yujing Guan, Xiang Xia, Hui Cao, Jiayi Gu

“…Conventional diagnostic methods, such as PCR and culture, require specialized equipment and expertise, limiting their applicability in resource-limited settings. There is a pressing need for a rapid, cost-effective, and user-friendly diagnostic platform for HP detection, particularly in point-of-care settings.MethodsWe developed an integrated detection platform combining loop-mediated isothermal amplification (LAMP) with the CRISPR/Cas12b system in a single, one-step, one-pot reaction. …”
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Multivariate GWAS analysis reveals loci associated with liver functions in continental African populations. by Chisom Soremekun, Tafadzwa Machipisa, Opeyemi Soremekun, Fraser Pirie, Nashiru Oyekanmi, Ayesha A Motala, Tinashe Chikowore, Segun Fatumo

“…<h4>Conclusions</h4>Using multivariate GWAS method improves the power to detect novel genotype-phenotype associations for liver functions not found with the standard univariate GWAS in the same dataset.…”
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Dynamic Risk Assessment System for Power System Based on Multi-source Information of the Ubiquitous Power Internet of Things by Shenhua WANG, Xiangwei HE, Xiaofang FANG, Bingsong CHEN, Chuangxin GUO

“…Finally, based on the architecture, the corresponding software system is designed. The data source, data platform and main function modules of the system are also described. …”
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The functional mechanisms of phosphite and its applications in crop plants by Zhenyi Li, Xiangjiu Kong, Zhiqiang Zhang, Fang Tang, Mingjiu Wang, Mingjiu Wang, Yan Zhao, Fengling Shi

“…Notably, ptxD also acts as an ideal selectable marker because its resistant is specific to Phi, thereby eliminating the risk of false positive clones. …”
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A Two-Step Method for Impact Source Localization in Operational Water Pipelines Using Distributed Acoustic Sensing by Haonan Wei, Yi Liu, Zejia Hao

“…STEE is introduced as a stable metric to quantify signal impulsiveness and guides the selection of the relevant intrinsic mode function. …”
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RQdeltaCT: an open-source R package for relative quantification of gene expression using delta Ct methods by Daniel Zalewski, Anna Bogucka-Kocka

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First Principles Calculation Guided Material Selection of Poly(propylenemonothiocarbonate) for High-Performance Triboelectric Nanogenerators by Muhammad Naeem Shah, Jiaqi Lu, Dinku Hazarika, Munir Ullah Khan, Srinivasa Rao Pathipati, Kaihang Zhang, Liangquan Xu, Jie Li, Xiaozhi Wang, Shurong Dong, Jikui Luo

“…This study drastically expands the material selection for TENGs, offering promising prospects for future applications.…”
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A Lightweight Transformer Model for Defect Detection in Electroluminescence Images of Photovoltaic Cells by Yang Yang, Jing Zhang, Xin Shu, Lei Pan, Ming Zhang

“…To ensure solar panels function well, efficient and accurate defect detection of PV modules is essential. …”
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Selection of Suitable Sites for Small Ruminant Production Using Remote Sensing and the Geographic Information System by Halil Baki Ünal, Esin Deri

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Data‐Driven Materials Research and Development for Functional Coatings by Kai Xu, Xuelian Xiao, Linjing Wang, Ming Lou, Fangming Wang, Changheng Li, Hui Ren, Xue Wang, Keke Chang

“…In this paper, recent advances in data‐driven materials research and development (R&D) for functional coatings, highlighting the importance, data sources, working processes, and applications of this paradigm are summarized. …”
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Peculiarities of the Functioning of the Taboo Lexicon in the Modern Western Cinematography by S. A. Pankratova

“…The implementation presupposes analysis of taboo lexical units, revealing their functioning features as regards to acceptable implementation of the taboo and to depict the possible ways of optimization of its use in modern cinema.Methodology and sources. …”
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The role of vesicle trafficking genes in osteoblast differentiation and function by Hui Zhu, Yingying Su, Jamie Wang, Joy Y. Wu

“…The top 3 annotations are all associated with endoplasmic reticulum and Golgi vesicle transport. We selected 22 trafficking genes that have not been well characterized in bone for functional validation in MC3T3-E1 pre-osteoblasts. …”
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A lightweight object detection approach based on edge computing for mining industry by Muhammad Wahab Hanif, Zhanli Li, Zhenhua Yu, Rehmat Bashir

“…These enhancements enable more accurate and efficient detection in resource‐constrained edge environments, contributing to safer and more reliable monitoring in coal mining operations.…”
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