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Study on Interaction with High-Abundant Blood Proteins and Identification of Low-Abundant Proteins to 5-Phenyl-1-(P-Tolyl)-1h-1,2,3-Triazole by Serum Proteomics

SSRN

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SSRN 2024年

作者： He, Wenying Xie, Cong Wang, Shuai Duan, Hongye Liu, Rongqiang Si, Hongzong Yao, Xiaojun Key Laboratory of Tropical Medicinal Resource Chemistry of Ministry of Education Hainan Normal University Haikou571158 China College of Artificial Intelligence and Big Data for Medical Sciences Shandong First Medical University Jinan250117 China Institute for Computational Science and Engineering Qingdao University Qingdao266071 China College of Chemical and Chemical Engineering Lanzhou University Lanzhou730000 China

In this study, a comprehensive investigation was undertaken to elucidate a simple triazole compound, 5-phenyl-1-(p-tolyl)-1H-1,2,3-triazole (PPTT), its interactions with high-abundant proteins and identification of low-abundant proteins by serum proteomics. Employing a combination of spectroscopic techniques and computational chemistry, the interactions between PPTT and three high-abundance blood globular proteins, namely human serum albumin (HSA), human immunoglobulin G (HIgG), and hemoglobin (BHb), were explored, thereby ascertaining their binding constants and thermodynamic parameters at the molecular level. Subsequently, based on the differential proteomics, utilizing two-dimensional gel electrophoresis (2-DE) in conjunction with matrix-assisted laser desorption time-of-flight mass spectrometry (MALDI-TOF-MS), the research team isolated and identified differentially expressed low-abundance proteins in human blood serum samples following exposure to PPTT. The results showed that there were twenty highly expressed proteins identified from blood serum samples intervened by PPTT. Combining bioinformatics techniques, these proteins were classified, providing preliminary insights like preproprotein or precursors inhibiting the activity of elastase, defending and regulating the immune system, carrying lipid, and other functions into their biological functionalities. One of the differential proteins, apolipoprotein A-1 (ApoA-1) protein, was selected as a possible target to explore the mechanism of action of PPTT intervention on the related signaling pathways involved in Hep G2 cells. These research findings offer scientifically sound guidance for further in-depth exploration, development, and application of the 1,2,3-triazole compound. © 2024, The Authors. All rights reserved.

关键词： Molecular biology

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Detecting and Corrupting Convolution-based Unlearnable Examples

arXiv

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arXiv 2023年

作者： Li, Minghui Wang, Xianlong Yu, Zhifei Hu, Shengshan Zhou, Ziqi Zhang, Longling Zhang, Leo Yu School of Software Engineering Huazhong University of Science and Technology China School of Cyber Science and Engineering Huazhong University of Science and Technology China Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security China School of Computer Science and Technology Huazhong University of Science and Technology China School of Information and Communication Technology Griffith University Australia

Convolution-based unlearnable examples (UEs) employ class-wise multiplicative convolutional noise to training samples, severely compromising model performance. This fire-new type of UEs have successfully countered all defense mechanisms against UEs. The failure of such defenses can be attributed to the absence of norm constraints on convolutional noise, leading to severe blurring of image features. To address this, we first design an Edge Pixel-based Detector (EPD) to identify convolution-based UEs. Upon detection of them, we propose the first defense scheme against convolution-based UEs, COrrupting these samples via random matrix multiplication by employing bilinear INterpolation (COIN) such that disrupting the distribution of class-wise multiplicative noise. To evaluate the generalization of our proposed COIN, we newly design two convolution-based UEs called VUDA and HUDA to expand the scope of convolution-based UEs. Extensive experiments demonstrate the effectiveness of detection scheme EPD and that our defense COIN outperforms 11 state-of-the-art (SOTA) defenses, achieving a significant improvement on the CIFAR and ImageNet datasets. Copyright © 2023, The Authors. All rights reserved.

关键词： Convolution

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Determination of Trace Al3+ in Upconversion Nanoparticles-Xylenol Orange System Based on Inner Filter Effect

SSRN

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SSRN 2023年

作者： Wang, Jinfeng Jiang, Rui Feng, Bin Mou, Panpan Zhou, Shuo Zhang, Xianbo Zhou, Yan Chen, Guosong Lin, Donghai School of Chemistry and Molecular Engineering Nanjing Tech University Nanjing211816 China School of Energy and Materials Shanghai Thermophysical Properties Big Data Professional Technical Service Platform Shanghai Engineering Research Center of Advanced Thermal Functional Materials Shanghai Key Laboratory of Engineering Materials Application and Evaluation Shanghai Polytechnic University Shanghai201209 China Nanjing Tech University China

This paper reports a novel method that utilized the inner filter effect between upconversion nanoparticles (UCNPs) and xylenol orange-aluminum (XO-Al3+) for the sensitive and specific detection of trace Al3+. Under excitation by near-infrared light at 980 nm, Yb3+ and Er3+ doped UCNPs emit fluorescence at 543 nm and 658 nm, respectively. Upon the addition of Al3+ to the UCNPs-XO system, a red XO-Al3+ complex was formed, which exhibited a maximum absorption peak at 550 nm. This complex quenched the upconversion fluorescence at 543 nm of UCNPs while leaving the fluorescence at 658 nm unaffected. Thus, the concentration of Al3+ could be determined by calculating the decrease of I543 / I658. Under optimized conditions, the I543 / I658 ratio of the UCNPs-XO-Al3+ system demonstrated a well-defined linear relationship within the concentration range of 0-30 μM Al3+, with a detection limit of 0.19 μM. The findings of this study highlight the remarkable sensitivity, excellent specificity, and robust linear relationship exhibited by the upconversion fluorescence detection method, therefore, providing a feasible new approach for the detection of trace amounts of Al3+. © 2023, The Authors. All rights reserved.

关键词： Aluminum compounds

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Surface crack width measurement based on digital image processing

Surface crack width measurement based on digital image proce...

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第34届中国控制与决策会议

作者： Zongyuan Xie Hongyan Ma Yongxue Ye Jiaming Dou Shengyan Li Beijing Key Laboratory of Intelligent Processing for Building Big Data Beijing University of Civil Engineering and Architecture National Virtual Simulation Experimental Center for Smart City Education

Cracks are common and dangerous hazards in *** at the defects of low accuracy and poor feasibility in traditional crack width detection,proposing a crack width measurement method based on an orthogonal skeleton ***,the crack image is processed by ***,the processed image is median filtering and threshold ***,the skeleton and outline of the crack image were extracted by this method,and the measurement and comparison of simulated cracks and actual cracks are *** simulation results show that this method has high accuracy and feasibility and can meet the accuracy of engineering practice.

关键词： OpenCV Crack width measurement Orthogonal skeleton line Image processing

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Selection for Cheaper Amino Acids Drives Nucleotide Usage at the Start of Translation in Eukaryotic Genes

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Genomics, Proteomics & Bioinformatics 2021年第6期19卷 949-957页

作者： Na L.Gao Zilong He Qianhui Zhu Puzi Jiang Songnian Hu Wei-Hua Chen Key Laboratory of Molecular Biophysics of the Ministry of Education Hubei Key Laboratory of Bioinformatics and Molecular-imagingDepartment of Bioinformatics and Systems BiologyCollege of Life Science and TechnologyHuazhong University of Science and TechnologyWuhan 430074China Institute for Computer Science and Cluster of Excellence on Plant Sciences Heinrich Heine UniversityD-40225 DuesseldorfGermany CAS Key Laboratory of Genome Sciences and Information Beijing Institute of GenomicsChinese Academy of SciencesBeijing 100101China State Key Laboratory of Microbial Resources Institute of MicrobiologyChinese Academy of SciencesBeijing 100101China Beijing Advanced Innovation Center for Big Data-Based Precision Medicine Interdisciplinary Innovation Institute of Medicine and EngineeringBeihang UniversityBeijing 100191China University of Chinese Academy of Sciences Beijing 100049China

Coding regions have complex interactions among multiple selective forces,which are manifested as biases in nucleotide *** studies have revealed a decreasing GC gradient from the 5′-end to 3′-end of coding regions in various *** confirmed that this gradient is universal in eukaryotic genes,but the decrease only starts from the~25th *** trend is mostly found in nonsynonymous(ns)sites at which the GC gradient is universal across the eukaryotic *** GC contents at ns sites result in cheaper amino acids,indicating a universal selection for energy efficiency toward the N-termini of encoded *** a genome,the decreasing GC gradient is intensified from lowly to highly expressed genes(more and more protein products),further supporting this *** reveals a conserved selective constraint for cheaper amino acids at the translation start that drives the increased GC contents at ns *** GC contents can facilitate transcription but result in a more stable local secondary structure around the start codon and subsequently impede translation ***,the GC gradients at four-fold and two-fold synonymous sites vary across *** could decrease or increase,suggesting different constraints acting at the GC contents of different codon sites in different *** study reveals that the overall GC contents at the translation start are consequences of complex interactions among several major biological processes that shape the nucleotide sequences,especially efficient energy usage.

关键词： Macroevolution Prioritization of selective forces Energy efficiency Transcription Translation initiation

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ER: Equivariance Regularizer for knowledge Graph Completion

arXiv

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arXiv 2022年

作者： Cao, Zongsheng Xu, Qianqian Yang, Zhiyong Huang, Qingming State Key Laboratory of Information Security Institute of Information Engineering CAS Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS Beijing China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of Sciences Beijing China Peng Cheng Laboratory Shenzhen China

Tensor factorization and distanced based models play important roles in knowledge graph completion (KGC). However, the relational matrices in KGC methods often induce a high model complexity, bearing a high risk of overfitting. As a remedy, researchers propose a variety of different regularizers such as the tensor nuclear norm regularizer. Our motivation is based on the observation that the previous work only focuses on the "size" of the parametric space, while leaving the implicit semantic information widely untouched. To address this issue, we propose a new regularizer, namely, Equivariance Regularizer (ER), which can suppress overfitting by leveraging the implicit semantic information. Specifically, ER can enhance the generalization ability of the model by employing the semantic equivariance between the head and tail entities. Moreover, it is a generic solution for both distance based models and tensor factorization based models. The experimental results indicate a clear and substantial improvement over the state-of-the-art relation prediction methods. © 2022, CC BY.

关键词： knowledge graph

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Towards Demystifying Android Adware: dataset and Payload Location

Towards Demystifying Android Adware: Dataset and Payload Loc...

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IEEE/ACM International Conference on Automated Software engineering - Workshops (ASE Workshops)

作者： Chao Wang Tianming Liu Yanjie Zhao Lin Zhang Xiaoning Du Li Li Haoyu Wang Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Huazhong University of Science and Technology Monash University Clayton Australia Huazhong University of Science and Technology Wuhan China The National Computer Emergency Response Team/Coordination Center of China (CNCERT/CC) Beijing China Beihang University Beijing China

ISBN: (数字)9798400712494

ISBN: (纸本)9798331523169

Adware represents a pervasive threat in the mobile ecosystem, yet its inherent characteristics have been largely overlooked by previous research. This work takes a crucial step towards demystifying Android adware. We present a comprehensive, well-annotated Android adware dataset AdwareZoo, which comprises 15,996 adware samples across 118 distinct adware families collected from both security reports and app repositories, providing a robust foundation for in-depth analysis and future research. We identify adware family payloads by isolating packages from adware samples for VirusTotal rescanning. Our analysis unveils critical insights into the adware ecosystem, highlighting distinctive patterns in family naming conventions and exposing the unexpected classification of widely-used ad networks as adware. We identify diverse payload location strategies, with a notable finding that over 30% of adware families employ payloads beyond conventional Java/Kotlin code. Furthermore, we reveal several evasion techniques utilized by ad-ware, including package name obfuscation and dynamic payload loading. This research not only offers a robust foundation for understanding and combating adware but also highlights the pressing need for increased scrutiny of mobile advertising practices.

关键词： Prevention and mitigation Ecosystems Loading Pressing Regulation Mobile security Security Advertising Payloads Software engineering

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The State of Charge Estimation of Lithium-ion Batteries Using an Improved Extreme Learning Machine Approach

The State of Charge Estimation of Lithium-ion Batteries Usin...

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第34届中国控制与决策会议

作者： Wei He Hongyan Ma Yingda Zhang Shuai Wang Jiaming Dou Beijing Key Laboratory of Intelligent Processing for Building Big Data Beijing University of Civil Engineering and Architecture National Virtual Simulation Experimental Center for Smart City Education

Accurate state of charge(SOC) estimation is of great significance for a lithium-ion battery to ensure its safe operation and prevent it from over-charging or ***,it is difficult to get an accurate value of SOC since it is an inner state of a battery cell,which cannot be directly *** order to improve the estimation accuracy of SOC,this paper develops a SOC estimation model for a lithium-ion battery using a Particle Swarm Optimization-Extreme Learning Machine(PSO-ELM) *** PSO is applied to determine the optimal value of hidden layer neurons and the learning rate since these parameters are the most critical factors in constructing an optimal ELM *** inputs to the PSO-ELM model are the battery voltage,current,and temperature,and the output is the actual SOC *** performance of the proposed model is compared with BP neural network and ELM models and verified based on the mean square error(MSE),mean absolute error(MAE),mean absolute percentage error(MAPE),and SOC *** results demonstrate that the PSO-ELM model offers higher accuracy and lower SOC error rate than ELM and BP neural network models.

关键词： Lithium-ion Battery State of Charge Particle Swarm Optimization Algorithm Extreme Learning Machine

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From Single to Multi-Functional RIS: Architecture, key Technologies, Challenges, and Applications

arXiv

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arXiv 2024年

作者： Ni, Wanli Zheng, Ailing Wang, Wen Niyato, Dusit Al-Dhahir, Naofal Debbah, Mérouane The Department of Electronic Engineering Tsinghua University China The State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications China The College of Computing and Data Science Nanyang Technological University Singapore The Department of Electrical and Computer Engineering The University of Texas Dallas United States The KU 6G Research Center Khalifa University of Science and Technology United Arab Emirates

Although reconfigurable intelligent surfaces (RISs) have demonstrated the potential to boost network capacity and expand coverage by adjusting their electromagnetic properties, existing RIS architectures have certain limitations, such as double-fading attenuation and restricted half-space coverage. In this article, we delve into the progressive development from single to multi-functional RIS (MF-RIS) that enables simultaneous signal amplification, reflection, and refraction. We begin by detailing the hardware design and signal model that distinguish MF-RIS from traditional RISs. Subsequently, we introduce the key technologies underpinning MF-RIS-aided communications, along with the fundamental issues and challenges inherent to its deployment. We then outline the promising applications of MF-RIS in the realm of communication, sensing, and computation systems, highlighting its transformative impact on these domains. Lastly, we present simulation results to demonstrate the superiority of MF-RIS in enhancing network performance in terms of spectral efficiency. Copyright © 2024, The Authors. All rights reserved.

关键词： Geometry

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Review of Research on Robot Visual Slam

Review of Research on Robot Visual Slam

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第34届中国控制与决策会议

作者： YANG Xin WANG Li-Na China Jiliang University College of Mechanical and Electrical Engineering Key Laboratory of Intelligent Manufacturing Quality Big Data Tracing and Analysis of Zhejiang Province China Jiliang University

SLAM technology,which is called simultaneous localization and mapping technology,is to make the robot running in the environment self-locate according to the estimation of its position and posture and the existing map,and at the same time build the map incrementally on this basis,and finally achieve the purpose of building the map and positioning for the whole ***,this paper summarizes the history and development of SLAM ***,it introduces monocular vision SLAM and RGB D SLAM through two kinds of vision SLAM ***,it expounds the content of cooperation between vision technology and single robot,and finds related problems,and looks forward to the future.

关键词： SLAM machine vision single robot cooperation problem

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