SEMANTIC FEATURE LEARNING VIA DUAL SEQUENCES FOR DEFECT PREDICTION

Semantic Feature Learning via Dual Sequences for Defect Prediction

Software defect prediction (SDP) can help developers reasonably allocate limited resources for locating bugs and prioritizing their testing efforts.Existing methods often serialize an Abstract Syntax Tree (AST) obtained from the program source code into a token sequence, which is then inputted into the deep learning model to learn the semantic feat

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Contributions of Hedgerows to People: A Global Meta-Analysis

LIP BRUSH Hedgerows are linear landscape features of woody vegetation usually located around agricultural fields.An increasing number of studies have addressed the effects of hedgerows on biodiversity and ecosystem services.This study is aimed to synthesize these effects and compare the levels of biodiversity and ecosystem services in farmland with

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In vitro evaluation of the herbal cream formulation from methanolic leaf extracts of Tephrosia vogelii Hook.f for topical application

Abstract Background Topical infectious are among of global challenges which propelled up with antimicrobial resistances.This scenario compels for drug discovery and development.Herbal formulation is one of important struggle in the drug development with the purpose of overcoming various diseases distressing health care settings.Thus, this study aim

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Anti-Inflammatory Effect of Sulfated Polysaccharides Isolated from Codium fragile In Vitro in RAW 264.7 Macrophages and In Vivo in Zebrafish

In this study, the anti-inflammatory activity of sulfated polysaccharides isolated from the green seaweed Codium fragile (CFCE-PS) was investigated in lipopolysaccharide (LPS)-stimulated RAW 264.7 macrophages and zebrafish.The results demonstrated that CFCE-PS significantly increased the viability of LPS-induced RAW 264.7 cells in a concentration-d

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