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Articles by Limei Lin
Mechanical contribution of germ cell specification in Arabidopsis anthers
Abstract A central question in developmental biology is how germ lines are established. We studied the specification of male germ cells (GCs) within the anther. Here, we focused on the potential role of mechanics, an aspect of anther development that has been very poorly characterized.
Vul-Sensitive opcode weighting for multi-label smart contract vulnerability detection
ABSTRACT The recurring issue of smart contract security breaches has heightened concerns about their reliability and safety, making contract security a critical challenge in the blockchain space. Existing traditional detection techniques predominantly utilize static, expert-defined rule sets, which inherently introduce limitations including reliance on expert knowledge, compromised detection accuracy, and a constrained scope of identifiable vulnerabilities.
Endogenous security-based load balancing secure routing for UAVs with three-layer architecture
ABSTRACT With the advancement of Unmanned Aerial Vehicle (UAV) technology, UAVs have found applications in numerous domains. Consequently, the security of UAV routing has become increasingly critical. Traditional routing mechanisms typically lack endogenous security measures, making them susceptible to various threats. Moreover, the routing information exchanged between routers could potentially expose the network topology and other sensitive information.
Comprehensive review of the expanding roles of the carnitine pool in metabolic physiology: beyond fatty acid oxidation - Journal of Translational Medicine
The differences in the composition and levels of the carnitine pool in different organs reflect their unique metabolic states and health conditions, carnitine/acylcarnitine have the potential to serve as biomarkers for the occurrence and development of a variety of diseases. Carnitine/acylcarnitine can reach almost all organs of the body to regulate metabolic functions and actively participate in communication and metabolic interactions between organs.
Substrate Structured Bournonite CuPbSbS3 Thin Film Solar Cells
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Combined network analysis and interpretable machine learning reveals the environmental adaptations of more than 10,000 ruminant microbial genomes
1. Introduction Ruminants, as ancient animals, exhibit a wide range of morphological and ecological diversity (Mennecart et al., 2021).
Comparison of diagnostic accuracy of three-dimensional transvaginal ultrasound and magnetic resonance imaging in the diagnosis of scar pregnancy
Abstract Objectives: To compare the accuracy of three-dimensional transvaginal ultrasound and magnetic resonance imaging in the diagnosis of scar pregnancy. Methods: The records of 54 patients with scar pregnancy, who underwent three-dimensional transvaginal ultrasound and magnetic resonance imaging (MRI), from June 2015 to November 2021 were reviewed. Surgery / histopathology of operative findings were analyzed as gold standard to compare the diagnosis of the two examination methods.
High‐Efficiency Sb2(S,Se)3 Solar Cells with New Hole Transport Layer‐Free Back Architecture via 2D Titanium‐Carbide Mxene
Research Article Hu Li, Fujian Provincial Engineering Technology Research Center of Solar Energy Conversion and Energy Storage, College of Physics and Energy, Fujian Normal University, Fuzhou, 350117 China Fujian Provincial Collaborative Innovation Center for Advanced High-Field Superconducting Materials and Engineering, Fuzhou, 350117 China Search for more papers by this author Limei Lin, Fujian Provincial Engineering Technology Research Center of Solar Energy Conversion and Energy Storage,...
The integration of weighted gene association networks based on information entropy
Constructing genome scale weighted gene association networks (WGAN) from multiple data sources is one of research hot spots in systems biology. In this paper, we employ information entropy to describe the uncertain degree of gene-gene links and propose a strategy for data integration of weighted networks.
Gene gravity-like algorithm for disease gene prediction based on phenotype-specific network
Pinpointing disease genes is a fundamental task in elucidating the pathogenesis of diseases. It has significant implication in disease modeling, drug design, therapeutic prevention and clinical treatment [1]. Disease gene prediction is a process to pick out the most susceptible genes among a pool of candidate genes for further downstream screening. Traditional disease gene prediction methods involve linkage analysis and genome-wide association study (GAWS).
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