Feature dependence graph based source code loophole detection method by Hongyu YANG, Haiyun YANG, Liang ZHANG, Xiang CHENG

“…Given the problem that the existing source code loophole detection methods did not explicitly maintain the semantic information related to the loophole in the source code, which led to the difficulty of feature extraction of loo-phole statements and the high false positive rate of loophole detection, a source code loophole detection method based on feature dependency graph was proposed.First, extracted the candidate loophole statements in the function slice, and gen-erated the feature dependency graph by analyzing the control dependency chain and data dependency chain of the candi-date loophole statements.Secondly, the word vector model was used to generate the initial node representation vector of the feature dependency graph.Finally, a loophole detection neural network oriented to feature dependence graph was constructed, in which the graph learning network learned the heterogeneous neighbor node information of the feature de-pendency graph and the detection network extracted global features and performed loophole detection.The experimental results show that the recall rate and F1 score of the proposed method are improved by 1.50%～22.32% and 1.86%～16.69% respectively, which is superior to the existing method.…”
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Planarian Mucus: A Novel Source of Pleiotropic Cytotoxic and Cytostatic Agents against Cancer Cells by Gaetana Gambino, Eleonora Da Pozzo, Alessandra Salvetti, Leonardo Rossi

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Spatial distribution and source apportionment of nitrogen in typical plain river networks and bacterial community response by Aiju You, Aiju You, Qiaoxi Zheng, Pengcheng Yao, Pengcheng Yao

“…Notably, Malikia species with nitrate-reducing capabilities were significantly more abundant in the industrially pollution area compared to the other pollution areas.DiscussionThe diversity of nitrogen types characteristic of the domestic pollution area mediated bacterial selection pressures, favoring nitrogen cycling and amplifying functional gene abundance. …”
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Optimal planning of integrated nuclear-hybrid renewable energy systems for electrical distribution networks based on artificial intelligence by Samira M. Nassar, A. A. Saleh, Ayman A. Eisa, E. M. Abdallah, Ibrahim A. Nassar

“…In this study, mathematical models for various Hybrid Energy Systems (HES) are developed using both single and multi-objective functions. Active Power Loss (APL) is selected as the first single-objective fitness function, while the total Net Present Cost (NPC) serves as the second. …”
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Research and Design of an Active Light Source System for UAVs Based on Light Intensity Matching Model by Rui Ming, Tao Wu, Zhiyan Zhou, Haibo Luo, Shahbaz Gul Hassan

“…Furthermore, optimization experiments are conducted on the variable active light source module. By comparing the recognition effects of the variable active light source module under different parameters, the best configuration is selected. …”
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Journalism in history, history in journalism: A historiographical critique of the newspaper as a source material for research by Marvin R. Soriano

“…The study highlights the methodological challenges in using newspapers as sources, such as editorial bias, selective reporting, and the political economy of print media. …”
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Continuous-Variable Quantum Key Distribution Protocol Based on Post-Selection by Hao YU, Bao FENG, Zichun PAN, Wenhe ZHUO, Zhenwei LI

“…In the paper, we present a CVQKD protocol based on post-selection method, which need not any extra single photon source. …”
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A Dual-Source Deep Learning Model for Mapping Wet Anabranches in Braided Rivers on the Tibetan Plateau by Xiaolu Liu, Xiaoyi Ma, Shuai Qin, Tang Liu, Chenghu Zhou

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Selenium Accumulating Leafy Vegetables Are a Potential Source of Functional Foods by Petro E. Mabeyo, Mkabwa L. K. Manoko, Amra Gruhonjic, Paul A. Fitzpatrick, Göran Landberg, Máté Erdélyi, Stephen S. Nyandoro

“…., Cucurbita maxima, Ipomoea batatas, Solanum villosum, Solanum scabrum, and Vigna unguiculata were explored for their capabilities to accumulate selenium when grown on selenium enriched soil and for use as a potential source of selenium enriched functional foods. Their selenium contents were determined by spectrophotometry using the complex of 3,3′-diaminobenzidine hydrochloride (DABH) as a chromogen. …”
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Estimation of carbon sequestration capacity of urban green infrastructure by fusing multi-source remote sensing data by Jiahui Chang, Zhenfeng Shao, Jinyang Wang, Zhu Mao, Tao Cheng, Xiaodi Xu, Qingwei Zhuang

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Topology Optimization of the Network with Renewable Energy Sources Generation Based on a Modified Adapted Genetic Algorithm by A. M. Bramm, A. I. Khalyasmaa, S. A. Eroshenko, P. V. Matrenin, N. A. Papkova, D. A. Sekatski

“…The proposed genetic algorithm used two different functions of interbreeding, the function of mutation, selection of the best individuals and mass mutation (complete population renewal). …”
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Cosmological Evolution of Fast Radio Bursts and the Star Formation Rate by Sujay Champati, Vahé Petrosian

“…As is the case for all extragalactic sources, we are dealing with data that are truncated by observational selection effects, the most important being the flux limit, which introduces the so-called Eddington-Malmquist bias. …”
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Noise Directivity Reconstruction Radiated from Unmanned Underwater Vehicle’s Propeller Using the Equivalent Source Method by Shuai Jiang, Liwen Tan, Ruichong Gu, Zilong Peng

“…In this paper, a method for selecting elementary source configurations was proposed, considering the correlation coefficients that exhibit a strong correlation with the directivity function. …”
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Go Source Code Vulnerability Detection Method Based on Graph Neural Network by Lisha Yuan, Yong Fang, Qiang Zhang, Zhonglin Liu, Yijia Xu

“…With the widespread application of the Go language, the demand for vulnerability detection in Go programs is increasing. Existing detection models and methods have deficiencies in extracting source code features of Go programs and mainly focus on detecting concurrency vulnerabilities. …”
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Environmental Risk Assessment of Wuhan Qingshan Industrial Park Based on Multi-Source Data Fusion and FAHP by Yang Yangyi

“…The fuzzy analytic hierarchy process (FAHP) is employed to assign weights through expert judgment, and fuzzy membership functions are used to determine risk levels across selected sub-regions. …”
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Spectral Design Method to Simulate Tunable Spectra of Various Light Sources Based on Multi-Channel LEDs by Zijian Tao, Xiaojie Zhao, Shanshan Li, Qi Dai

“…It begins by determining the desired wavelength range according to an eye-sensitivity threshold based on the V(λ) function. Subsequently, a strategy for LED component selection is introduced. …”
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A Deep Variational Approach to Multiterminal Joint Source-Channel Coding Based on Information Bottleneck Principle by Shayan Hassanpour, Matthias Hummert, Dirk Wubben, Armin Dekorsy

“…To that end, tractable objective functions are developed, together with the pertinent learning architectures, generalizing the concepts of Variational Auto-Encoders and (Distributed) Deep Variational Information Bottleneck for (remote) source coding to the context of distributed joint source-channel coding. …”
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Open-Source vs. Commercial Photogrammetry: Comparing Accuracy and Efficiency of OpenDroneMap and Agisoft Metashape by A. Kostrzewa, A. Płatek-Żak, P. Banat, Ł. Wilk

“…OpenDroneMap (ODM), open-source software, offers similar functionalities to popular commercial options, enabling the generation of point clouds, DEMs, and mesh models using advanced algorithms like Multi-View Stereo (MVS) and Poisson surface reconstruction. …”
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Edible caterpillars (Gonimbrasia belina and Gynanisa maja) as emerging source of nutrients and bioactive compounds by Chrysantus M. Tanga, Brian O. Ochieng, Dennis Beesigamukama, Changeh J. Ghemoh, Cynthia Mudalungu, Xavier Cheseto, Isaac M. Osuga, Sevgan Subramanian, Segenet Kelemu

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Investigation of the chemical composition of cell cultures of DIOSCOREA CAUCASICA in connection with the production of BAS sources with cardioprotective potential by A. I. Loseva, V. I. Minina, A. V. Pozdnyakova, E. V. Ostapova

“…Dioscorea Caucasica is a source of various biologically active substances (BAS), e.g. saponins and polyphenols, which are known for their anti-atherosclerotic action. …”
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