Effects of Naringenin and Its Glycosides on Functional Properties of Oat Protein and Their Interaction Mechanism by Wuzhen LIU, Ti LI, Qin GENG, Jun CHEN, Jialong HAN, Chengmei LIU, Taotao DAI

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Determination of the fit growth curve model and relationships among growth parameters by nonlinear functions in Kaçkar hair goats by S. Yüksel, F. Yüksel, E. Sezgin

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Failure Law of Sandstone and Identification of Premonitory Deterioration Information Based on Digital Image Correlation–Acoustic Emission Multi-Source Information Fusion by Zhaohui Chong, Guanzhong Qiu, Xuehua Li, Qiangling Yao

“…Additionally, by introducing the derivative functions of the multi-source information function for quantitative analysis, a comprehensive evaluation method was proposed based on the multi-source information fusion monitoring to forewarn red sandstone failure by levels during loading. …”
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Construction of Evaluation Model for Soil and Water Conservation Function of Vegetation at Community Scale by Zhang Hongda, Zhao Chuanpu, Dai Yuting, Yuan Li, Yang Qimengdi, Wu Ao, Liu Xia

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A spatial matrix factorization method to characterize ecological assemblages as a mixture of unobserved sources: An application to fish eDNA surveys by Letizia Lamperti, Olivier François, David Mouillot, Laëtitia Mathon, Théophile Sanchez, Camille Albouy, Loïc Pellissier, Stéphanie Manel

“…We present a spatial matrix factorization method that identifies optimal eDNA sample assemblages—called pools—assuming that taxonomic unit composition is based on a fixed number of unknown sources. These sources, in turn, represent taxonomic units sharing similar habitat properties or characteristics. …”
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Effect of Functional Galactooligosaccharide on Metabolism and Antibacterial Activity of Lactiplantibacillus plantarum ZDY2013 by Jinlin LU, Jinmei LI, Jie FENG, Kaisheng SHAO, Hua WEI, Zhihong ZHANG

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Deep learning vulnerability detection method based on optimized inter-procedural semantics of programs by Yan LI, Weizhong QIANG, Zhen LI, Deqing ZOU, Hai JIN

“…In recent years, software vulnerabilities have been causing a multitude of security incidents, and the early discovery and patching of vulnerabilities can effectively reduce losses.Traditional rule-based vulnerability detection methods, relying upon rules defined by experts, suffer from a high false negative rate.Deep learning-based methods have the capability to automatically learn potential features of vulnerable programs.However, as software complexity increases, the precision of these methods decreases.On one hand, current methods mostly operate at the function level, thus unable to handle inter-procedural vulnerability samples.On the other hand, models such as BGRU and BLSTM exhibit performance degradation when confronted with long input sequences, and are not adept at capturing long-term dependencies in program statements.To address the aforementioned issues, the existing program slicing method has been optimized, enabling a comprehensive contextual analysis of vulnerabilities triggered across functions through the combination of intra-procedural and inter-procedural slicing.This facilitated the capture of the complete causal relationship of vulnerability triggers.Furthermore, a vulnerability detection task was conducted using a Transformer neural network architecture equipped with a multi-head attention mechanism.This architecture collectively focused on information from different representation subspaces, allowing for the extraction of deep features from nodes.Unlike recurrent neural networks, this approach resolved the issue of information decay and effectively learned the syntax and semantic information of the source program.Experimental results demonstrate that this method achieves an F1 score of 73.4% on a real software dataset.Compared to the comparative methods, it shows an improvement of 13.6% to 40.8%.Furthermore, it successfully detects several vulnerabilities in open-source software, confirming its effectiveness and applicability.…”
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The Ecosystem Services Assessment of Wetlands based on the Classification of Hydrological-ecological Structures and Functions (Case study: Shadegan Wetland) by leila Rahimi, Bahram Malekmohammadi, Ahmad reza Yavari

“…Selecting Shadegan International Wetland as a case study in this research, the ecosystem services approach have been applied to ecological conditions assessment of the wetland based on biophysical structures, processes, functions and ecosystem services in a hydrological-ecological framework, which provides a valuable tool for optimal allocation of wetland resources and their effective management, as well as adopting rational and sustainable policies. 2-Materials and Methods The proposed framework can be considered as a hierarchical approach based on the characteristics of biophysical structure, functions and ecosystem services. …”
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Microhabitat Characteristics That Regulate Ant Richness Patterns: The Importance of Leaf Litter for Epigaeic Ants by Antonio Cesar Medeiros de Queiroz, Carla Rodrigues Ribas, Filipe Machado França

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Taxonomic and functional diversity of alkali-tolerant bacteria enriched from the Taklimakan Desert by Feng Wen, Guo Yang, Xueling Zhao, Tiantian Zhao, Linquan Bai, Zhanfeng Xia

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Whole-Genome Sequencing Identifies Functional Genes for Environmental Adaptability in Chinese Geese by Xufang Ren, Jincheng Yu, Xiurong Zhao, Xinye Zhang, Gang Wang, Xiaoyu Jiang, Xianyao Li, Changqing Qu, Lujiang Qu

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Electronic–Oxygen Synergy at Ca-Fe Dual-Metal Interfaces for Selective Syngas Regulation in Biomass Chemical Looping Gasification by Yijie Wang, Jiajie Li, Sitao Zhu, Michael Hitch

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Utilizing Photothermal Effect Enhances Photocatalytic Water Splitting Coupled with Selective Benzyl Alcohol Oxidation over Schottky Junctions by Bojing Sun, Mengjia Ye, Yachao Xu, Ying Jiang, Dongfang Hou, Xiu‐qing Qiao, Meidi Wang, Yunchen Du, Dong‐Sheng Li

“…Herein, WC quantum dots decorated defective ZnIn2S4 nanosheets (DZIS/WCQDs) dual‐functional photocatalysts are fabricated. Its unique Schottky junctions and photothermal effect significantly promote the separation and transport efficiency of photogenerated carriers, as well as achieving synergistic enhancement of photocatalytic water splitting coupled with selective oxidation of benzyl alcohol (BA). …”
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Genetic Evaluation of Resilience Indicators in Holstein Cows by Eva Kašná, Ludmila Zavadilová, Jan Vařeka

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Characteristics of soil microbial phospholipid fatty acids in artificial, black-soil mountain degraded, and natural grasslands in the source region of the Three Rivers by Lele Xie, Yushou Ma, Yanlong Wang, Yuan Ma, Xiaoli Wang, Ying Liu

“…Background The source region of the Three Rivers is a concentrated distribution area of alpine grassland. …”
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Mechanisms for selective flotation separation of chalcopyrite and molybdenite using the novel depressant 2-(carbamimidoylthio)acetic acid: Experimental and DFT study by Xiangwen Lv, Anruo Luo, Xiong Tong, Jianhua Chen, Sheng Jian

“…Copper and molybdenum, crucial strategic metals with frequent natural co-occurrence, require highly selective depressants for their flotation separation. …”
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Providing a Roadmap for the Adaption of Agricultural Sector to Water Scarcity Conditions (Case Study: Selected Crops of Tajan Basin, Iran) by H. Fouladi, H. Amirnejad, S. Shirzadi Laskookalayeh

“…GP is used to perform three types of analysis: Determining the required resources to achieve a desired set of objectives. Determining the degree of attainment of the goals with the available resources. …”
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Functional Analysis of Hedges and Boosters in Academic Students Essays: Across Disciplinary Study by آزاده ملاکی, سید فواد ابراهیمی, محمد تقی فروردین

“…Hedging and boosting are significant communicative resources to construe and attain persuasion in different fields and particular genres of academic writing. …”
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Pan-Genome-Wide Investigation and Expression Analysis of <i>GATA</i> Gene Family in Maize by Fangfang Zhao, Xia Li, Ziqi Chen, Changhong Guo

“…These findings provide valuable new resources for functional research on <i>ZmGATA</i>.…”
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The proteome of circulating extracellular vesicles and their functional effect on platelets vary with the isolation method by Eva M. Fernández-Sáez, Susana B. Bravo, Carmen Pena, Ángel García

“…Abstract Extracellular vesicles (EVs) play a crucial role in cell-to-cell communication and serve as a source of biomarkers in several pathologies. In this study, we aimed to characterize plasma-derived EVs isolated by ultracentrifugation (UC) or size exclusion chromatography (SEC) to define the best method for proteomic and functional studies. …”
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