Adversarial training driven malicious code detection enhancement method by Yanhua LIU, Jiaqi LI, Zhengui OU, Xiaoling GAO, Ximeng LIU, Weizhi MENG, Baoxu LIU

“…To solve the deficiency of the malicious code detector’s ability to detect adversarial input, an adversarial training driven malicious code detection enhancement method was proposed.Firstly, the applications were preprocessed by a decompiler tool to extract API call features and map them into binary feature vectors.Secondly, the Wasserstein generative adversarial network was introduced to build a benign sample library to provide a richer combination of perturbations for malicious sample evasion detectors.Then, a perturbation reduction algorithm based on logarithmic backtracking was proposed.The benign samples were added to the malicious code in the form of perturbations, and the added benign perturbations were culled dichotomously to reduce the number of perturbations with fewer queries.Finally, the adversarial malicious code samples were marked as malicious and the detector was retrained to improve its accuracy and robustness of the detector.The experimental results show that the generated malicious code adversarial samples can evade the detector well.Additionally, the adversarial training increases the target detector’s accuracy and robustness.…”
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Coding redundancy controlled data forwarding mechanism in opportunistic networks by Da-peng WU, Peng-wen LOU, Qiao-shou LIU, Yu XIONG, Ru-yan WANG

“…It can make full use of the encounter duration between nodes to forward the data, which has more coding opportunity and less than the community capacity. …”
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A method for uncertainty and sensitivity analysis in fuel performance codes by Ana Carolina Bortoletto Dantas, Antonio Teixeira e Silva

“…The generated samples were used as TRANSURANUS input data, and after numerous executions of the code, the results pertaining to the fuel center line temperature, fuel rod inner pressure and cladding strains were used to obtain a confidence interval and to make a variance based sensitivity analysis, showing that the models used in TRANSURANUS are additive in nature, and input interactions are not relevant to the code.…”
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Predicting proprioceptive cortical anatomy and neural coding with topographic autoencoders. by Max Grogan, Kyle P Blum, Yufei Wu, J Alex Harston, Lee E Miller, A Aldo Faisal

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Role of non-coding RNA-regulated ferroptosis in colorectal cancer by Yan-Peng Zhao, Jun-Liang Liu, Shuai Wang, Xue Li

“…This review will help to deepen our understanding of the ncRNA-ferroptosis-CRC axis and inform the study of potential therapeutic targets and prognostic markers for CRC patients.…”
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Non-Coding RNAs as Critical Modulators of Cholesterol Metabolism in Cancer by Chunyu Zhang, Zhiwei Miao, Yan Xu, Tongguo Shi

“…Dysregulated cholesterol metabolism contributes to cancer development and progression. Various non-coding RNAs (ncRNAs), such as miRNAs, lncRNAs, circRNAs, piRNAs, and tRNAs, are key players in this process. …”
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Identifying cultural codes of students in order to develop advert messages by S. A. Afonsky

“…The problem can be resolved by designing such messages in compliance with authenticity of discourse of target audience respondents. ZMET-analysis – the method of metaphor extraction was used as the method of research. …”
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Mitochondria-associated non-coding RNAs and their impact on drug resistance by Xingna An, Lina Sun, Huan Zheng, Yinghui Xiao, Weixia Sun, Dehai Yu

“…Therefore, it is crucial to gain a deeper understanding of the molecular mechanisms underlying drug resistance and to develop targeted strategies for its effective prevention and management. …”
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Non-coding RNA-mediated regulation of seed endosperm development by Xinqi Wei, Xinqi Wei, Huanhuan Wang, Kaifeng Zheng, Shengcheng Han, Fanfan Zhang, Fanfan Zhang

“…Recent advances highlight non-coding RNAs (ncRNAs) as central regulators of endosperm development, which integrate epigenetic, transcriptional, and post-transcriptional mechanisms. …”
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Traffic Scene Analysis using Hierarchical Sparse Topical Coding by P. Ahmadi, I. Gholampour, M. Tabandeh

“…In this paper, a two-level Sparse Topical Coding (STC) topic model is proposed to analyze traffic surveillance video sequences which contain hierarchical patterns with complicated motions and co-occurrences. …”
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A model of head direction and landmark coding in complex environments. by Yijia Yan, Neil Burgess, Andrej Bicanski

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Code generation system based on MDA and convolutional neural networks by Gabriel Vargas-Monroy, Daissi-Bibiana Gonzalez-Roldan, Carlos Enrique Montenegro-Marín, Alejandro-Paolo Daza-Corredor, Daniel-David Leal-Lara, Daniel-David Leal-Lara

“…Plugins and DSLs enhance flexibility by supporting various programming languages and automating code deployment on platforms such as GitHub and Heroku.…”
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Non-Coding RNAs and Immune Evasion in Human Gamma-Herpesviruses by Tablow S. Media, Laura Cano-Aroca, Takanobu Tagawa

“…Oncogenic viruses are responsible for 10–15% of human cancer development, which can have poor prognoses. Non-coding RNAs (ncRNAs) are RNAs that regulate gene expression without encoding proteins, and are being studied for their roles in viral immune evasion, infection, and oncogenesis. ncRNAs are classified by their size, and include long non-coding RNAs, microRNAs, and circular RNAs. …”
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Magnetic Electric Detonator Coding Graded Perforation Firing Technology by YANG Bin, LU Caihao, SONG Ning, LIU Bing, ZHAO Li, XIAO Xiangyang

“…It requires a voltage signal of a specific frequency to detonate, which makes it safer. Designed a coded graded perforation system for magneto electric detonator, using fixed address encoding technology and bidirectional dual frequency communication method to achieve the selection function of surface system and electronic modules. …”
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Refactoring Android Source Code Smells From Android Applications by Muhammad Fawad, Ghulam Rasool, Muhammad Bilal Riaz

“…These accelerated development timelines often push developers to make rushed changes, often resulting in suboptimal design practices, commonly known as code smells. …”
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Mapping of UK Biobank clinical codes: Challenges and possible solutions. by Oleg Stroganov, Alena Fedarovich, Emily Wong, Yulia Skovpen, Elena Pakhomova, Ivan Grishagin, Dzmitry Fedarovich, Tania Khasanova, David Merberg, Sándor Szalma, Julie Bryant

“…We also report challenges identified in mapping Read codes from UK Biobank GP tables to ICD and SNOMED CT.…”
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Transitioning to quick response codes for patient information leaflet delivery. by Githa Singh, Sarel J. Brand, Vanessa Steenkamp

“…Objective: To evaluate the feasibility of using quick response (QR) codes for electronic patient information leaflet (ePIL) delivery. …”
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Development of A Qr Code System for Tree Species Identification by Bukola Onyekwelu, Grace O. Alo, Flourish K. Echefu, Meshach Aderele, Israel O. Adetula, Jonathan C. Onyekwelu

“…The results obtained revealed that the QR codes are easy to use, and can make tree identification more interesting, thus increasing people’s knowledge about trees and improving Trees management.…”
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Progress in Research on the Long Non-coding RNAs in Chinese Cabbage by Ruihua WANG, Min HAN, Yuanyuan LI

“…These changes subsequently affect various physiological and biochemical reactions, ultimately leading to modifications in traits and the emergence of a dominant phenotype. As a type of non-coding regulatory RNA, lncRNAs can directly regulate gene expression through both cis-acting and trans-acting mechanisms, or indirectly regulate gene expression as either precursors or targets of miRNAs, which contributes to differential gene expression. …”
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Channel Coding Toward 6G: Technical Overview and Outlook by Mohammad Rowshan, Min Qiu, Yixuan Xie, Xinyi Gu, Jinhong Yuan

“…In this paper, after considering the potential impact of channel coding on key performance indicators (KPIs) of wireless networks, we review the evolution of mobile communication standards and the organizations involved in the standardization, from the first generation (1G) to the current 5G, highlighting the technologies integral to achieving targeted KPIs such as reliability, data rate, latency, energy efficiency, spectral efficiency, connection density, and traffic capacity. …”
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