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Lengthening of the CHURC1 3'untranslated region by alternative polyadenylation is associated with the progression of acute myeloid leukemia

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Genes & Diseases 2025年第1期12卷 106-109页

作者： Xi Hu Panxiang Cao Fang Wang Huqin Zhang Tong Wang Hongxing Liu Xiaoming Wu The Key Laboratory of Biomedical Information Engineering of Ministry of Education School of Life Science and TechnologyXi'an Jiaotong UniversityXi'anShaanxi 710049China Division of Pathology and Laboratory Medicine Hebei Yanda Lu Daopei HospitalLangfangHebei 065201China

Alternative polyadenylation(APA)is a post-transcriptional process that typically determines the length of mature mRNAs'3'untranslated region(3'UTR).The global shortened 3'UTR alters mRNA stability,localization,and translation and contributes to cancer progression.1 The APA characteristics and its effects on acute myeloid leukemia(AML)remain to be comprehensively ***,we identified churchill domain containing 1(CHURC1)as an upregulated gene with a lengthened 3'UTR in CD34+enriched AML cells compared with healthy hematopoietic stem and progenitor *** for APA regulation of CHURC1,we found that rs6745 and RNA binding protein TIA1 potentially contribute to the distal poly(A)site usage in cis-and transways,***,a lengthened CHURC13'UTR affected the apoptosis of AML cells by disrupting the expression of DICER1 by sponging *** chemotherapeutic sensitivity of 8 drugs was associated with CHURC1 poly(A)site ***,our analysis indicated a previously undetected gene,CHURC1,that affected AML progression through 3'UTR length change resulting from *** collection and detailed analysis methods were described in the supplementary material.

关键词： URC myeloid acute

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Dynamic defenses in cyber security:Techniques,methods and challenges Author links open overlay panel

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Digital Communications and Networks 2022年第4期8卷 422-435页

作者： Yu Zheng Zheng Li Xiaolong Xu Qingzhan Zhao School of Computer and Software Nanjing University of Information Science and TechnologyNanjing210044JiangsuChina Key Laboratory for Novel Software Technology Nanjing UniversityNanjing210023JiangsuChina College of Information Science and Technology Shihezi University Geospatial Information Engineering Research CenterChina

Driven by the rapid development of the Internet of Things,cloud computing and other emerging technologies,the connotation of cyberspace is constantly expanding and becoming the fifth dimension of human ***,security problems in cyberspace are becoming serious,and traditional defense measures(e.g.,firewall,intrusion detection systems,and security audits)often fall into a passive situation of being prone to attacks and difficult to take effect when responding to new types of network attacks with a higher and higher degree of coordination and *** constructing and implementing the diverse strategy of dynamic transformation,the configuration characteristics of systems are constantly changing,and the probability of vulnerability exposure is ***,the difficulty and cost of attack are increasing,which provides new ideas for reversing the asymmetric situation of defense and attack in ***,few related works systematically introduce dynamic defense mechanisms for cyber *** related concepts and development strategies of dynamic defense are rarely analyzed and *** bridge this gap,we conduct a comprehensive and concrete survey of recent research efforts on dynamic defense in cyber ***,we firstly introduce basic concepts and define dynamic defense in cyber ***,we review the architectures,enabling techniques and methods for moving target defense and mimic *** is followed by taxonomically summarizing the implementation and evaluation of dynamic ***,we discuss some open challenges and opportunities for dynamic defense in cyber security.

关键词： Cyber security Dynamic defense Moving target defense Mimic defense

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A flexible dual-function capacitive sensor enhanced by looppatterned fibrous electrode and doped dielectric pillars for spatial perception

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Nano Research 2023年第5期16卷 7550-7558页

作者： Yongsong Luo Xiaoliang Chen Xiangming Li Hongmiao Tian Liang Wang Jinyou Shao Micro-and Nano-technology Research Center State Key Laboratory for Manufacturing Systems EngineeringXi’an Jiaotong UniversityXi’an 710049China Frontier Institute of Science and Technology(FIST) Xi’an Jiaotong UniversityXi’an 710049China

The integrated perception capable of detecting and monitoring varieties of activities is one of the ultimate purposes of wearable electronics and intelligent *** by the space occupation,it lacks practical feasibility to stack multiple types of single sensors on each ***,a high-sensitivity dual-function capacitive sensor with proximity sensing and pressure sensing is *** fringing electric field can be confined in the proximity-sensitive area by fibrous loop-patterned electrode,leading to more stolen charges when object approaching and thus a high proximity *** high-permittivity doped structured dielectric layer reduces the compressive stiffness and enhances the rate of compression-caused increase in the equivalent relative permittivity of the dielectric layer,resulting in a larger increase in capacitance and thus a high pressure *** electrodes and dielectric layer together compose the capacitor and act as the sensor without taking up additional *** decoupling of proximity-sensing and pressure-sensing modes can be achieved by decrease or increase in *** with array distribution and sequential scanning,the sensors can be used for detection of motion trajectory,contour recognition,pressure distribution.

关键词： capacitive proximity sensing pressure sensing fibrous microstructuring doping

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Optimizing 2D-metal contact in layered Tin-selenide via native oxide modulation

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Nano Research 2024年第4期17卷 3014-3020页

作者： Yue Zheng Qi You Zhentian Yin Jian Tang Ke Jiang Zihao Xie Henan Li Cheng Han Yumeng Shi International Collaborative Laboratory of 2D Materials for Optoelectronics Science and Technology of Ministry of Education Institute of Microscale OptoelectronicsShenzhen UniversityShenzhen 518060China College of Electronics and Information Engineering Shenzhen UniversityShenzhen 518060China

The discovery of two-dimensional(2D)semiconductor has opened up new avenues for the development of short-channel field-effect transistors(FETs)with desired electrical *** them,orthorhombic tin-selenide(SnSe)has garnered increasing attention due to its potential applications in a variety of electronic,optoelectronic,and thermoelectric ***,the realization of high-performance SnSe FETs with low contact resistance(Rc)remains a ***,we systematically investigate the contact of few-layer SnSe FETs through the modulation of native oxide on SnSe by using different *** is found that chromium(Cr)-contacted devices possess the best FET performance,such as electron mobility up to 606 cm^(2)/(V·s)at 78 K,current on/off ratio exceeding 1010,and saturation current of~550μA/μm,where a negligible Schottky barrier(SB)of~30 meV and a low contact resistance of~425Ωμm are achieved.X-ray photoelectron spectroscopy(XPS)and cross-sectional electron dispersive X-ray spectroscopy(EDX)results further reveal that the improved contact arises from the Cr-induced reduction of native oxide(SnOx)to Sn,which thins the tunneling barrier for efficient electron *** findings provide a deep insight into the 2D-metal contact of SnSe and pave the way for its applications in future nanoelectronics.

关键词： few-layer SnSe field-effect transistors(FETs) Cr contact native oxide contact resistance(Rc) Schottky barrier(SB)

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Investigations and Time Estimation on Federated Learning for Future Internet of Vehicles

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IEEE Internet of Things Journal 2025年第11期12卷 17387-17398页

作者： Fukumoto, Shun Li, Ruidong Zeng, Kai Nan, Haihan Su, Zhou Kanazawa University Intelligent Computation and Network Laboratory Division of Electrical Information and Communication Engineering Kanazawa920-1192 Japan Kunming University of Science and Technology Faculty of Information Engineering Automation Kunming066000 China Kanazawa University Division of Electrical Information and Communication Engineering Kanazawa920-1192 Japan George Mason University Electrical and Computer Engineering Department FairfaxVA22030 United States Xi’an Jiaotong University School of Cyber Science and Engineering Xi’an710049 China

For future Internet of Vehicles (IoV), communications and computing will converge to provide services. Federated learning (FL), as one of the typical distributed computing technologies, needs to be integrated with IoV. For such integration, FL suffers from the straggler effect that the entire learning speed is lowered down, because of the existence of the devices, such as low-powered road side units and vehicles, taking more time to complete their tasks. Although the existing mechanisms reduce straggler effects by adopting asynchronous mechanisms and clustering mechanisms, they lack the detailed analysis of the reasons and the impacts of each cause, leading to inefficiencies in the design of algorithm. Additionally, most of the existing work only considered the impact of a single factor in computation, communication, or data distribution, which lacks comprehensive on research for causes of stragglers effects. The bottleneck is that it is laborious to observe the time delay precisely with the existing high-calculating evaluations. In this article, we elaborately explore the effects of computing power, communication capability, and data distributions on the straggler effects with carefully designing and conducting the extensive experiments. After investigations, we propose a novel learning completion time estimation formula for low computing capability devices with mini-batch stochastic gradient decent (SGD). We compare our proposed estimation formula with the one based on floating operation per second (FLOPs). Through the evaluations, our formula can demonstrate the improvement up to 72.4% at docker and 32.4% at Raspberry Pi device compared to the existing work. © 2014 IEEE.

关键词： Stochastic systems

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Index modulation aided generalized space-time block coding:A unified MIMO framework

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Digital Communications and Networks 2024年第5期10卷 1459-1470页

作者： Zhiqin Wang Hui Liu Lixia Xiao Liuke Li Guochao Song Tao Jiang Mobile Communications Innovation Center China Academy of Information and Communications TechnologyBeijing100191China Research Center of 6G Mobile Communications Wuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhan430074China Research Center of 6G Mobile Communications School of Cyber Science and EngineeringHuazhong University of Science and TechnologyWuhan430074China

In this paper,Index Modulation(IM)aided Generalized Space-Time Block Coding(GSTBC)is proposed,which intrinsically exploits the benefits of IM concept,diversity gain and spatial multiplexing ***,the information bits are partitioned into U groups,with each being modulated by IM symbols(*** Modulation(SM),Quadrature SM(QSM),etc).Next,the structure of GSTBC is invoked for each K IM symbol,and a total ofμ=U/K GSTBC codes are transmitted via T time slots.A Block Expectation Propagation(B-EP)detector is designed for the proposed IM-GSTBC ***,the theoretical Average Bit Error Probability(ABEP)is derived for our IM-GSTBC system,which is confirmed by the simulation results and helpful for performance *** results show that our proposed IM-GSTBC system is capable of striking an efficient trade-off between spatial multiplexing gain,spatial diversity gain as well as implementation cost imposed for both small-scale and large-scale MIMO antenna configurations.

关键词： Index modulation(IM) Generalized space time block coding(GSTBC) Spatial multiplexing gain Diversity gain Block expectation propagation(B-EP)

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A Semi-supervised Protein Complex Identification Algorithm Based on Sparseness Constraint

A Semi-supervised Protein Complex Identification Algorithm B...

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2024 International Conference on Applied Mathematics, Modelling and Statistics Application, AMMSA 2024

作者： Liu, Guangming Dang, Fengqing Wang, Bin Peng, Yonghong Wang, Xiaofan Tan, Li School of Computer Science and Engineering Shaanxi Key Laboratory for Network Computing and Security Technology Xi'An University of Technology Shaanxi Xi'an China Faculty of Science and Engineering Computing and Information Science Cambridge United Kingdom School of Computer and Information Engineering Beijing Technology and Business University Beijing China

Recognising protein complexes in protein interaction networks is crucial, but poses a major challenge due to the frequency of noisy interactions. These networks typically involve numerous protein complexes, with each protein generally only participating in a few complexes. Current recognition models often ignore this aspect. To address this problem, we present a semi-supervised protein complex identification algorithm that extends non-negative matrix factorization (NMF) with sparsity constraints. In contrast to conventional approaches that apply a global sparsity constraint to the entire matrix, our method imposes individual sparsity constraints on protein membership indicator vectors. This targeted strategy controls the algorithm more effectively. Our experimental results with yeast and human protein interaction networks show that our algorithm achieves higher accuracy in identifying protein complexes than leading contemporary methods. © Published under licence by IOP Publishing Ltd.

关键词： Non-negative matrix factorization

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Submersible Position Prediction and Identification Based on Hybrid Neural Network Algorithm and Monte Carlo Method 2

Submersible Position Prediction and Identification Based on ...

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2nd International Conference on Mechatronics, IoT and Industrial Informatics, ICMIII 2024

作者： Xie, Lingyi Li, Xinqi Zhang, Mufan Southern University of Science and Technology Department of Mechanical and Energy Engineering Shenzhen China Southern University of Science and Technology Department of Information Systems and Management Engineering Shenzhen China Southern University of Science and Technology Department of Statistics and Data Science Shenzhen China

ISBN: (纸本)9798350386639

This paper proposes a method for predicting and identifying the position of a submersible using a hybrid neural network algorithm and the Monte Carlo method. Initially, we employ a hybrid neural network algorithm to establish a predictive model for ocean current parameters based on data from the Ionian Sea detection station. Additionally, we analyze the forces acting on the submersible and its motion to construct a physical model for the submersible's vertical movement. By integrating the effects of these two models, we can predict the three-dimensional trajectory of the submersible. Furthermore, to accurately analyze the potential location of the submersible after an accident, we utilize the Monte Carlo method and infinitesimal method, employing the K-means clustering algorithm to analyze the initial deployment points of the device. Based on the probability distribution, we select appropriate search methods. As indicated by the established probability function model, the probability of the submersible being covered decreases over time. The search results serve as adjustment parameters for the probability function model;the more search results obtained, the higher the probability of locating the submersible is. © 2024 IEEE.

关键词： Intelligent systems

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Dispatch of a Coal Mine-Integrated Energy System:Optimization Model with Interval Variables and Lower Carbon Emission

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Tsinghua science and technology 2024年第5期29卷 1441-1462页

作者： Hejuan Hu Xiaoyan Sun Bo Zeng Dunwei Gong Yong Zhang Patrick Nyonganyi Henerica Tazvinga School of Information and Control Engineering ChinaUniversity of Mining and TechnologyXuzhou 221116China Laboratory of Alternate Electrical PowerSystem with Renewable Energy Sources North ChinaElectric Power UniversityBeijing 102206China School of Information Science andTechnology Qingdao University of Science and TechnologyQingdao 266061China Department of Automation Tsinghua UniversityBeijing 100084China South Africa WeatherService Pertoria 0001South Africa

In the coal mining process,a large amount of Coal Mine-Associated energy(CMAE),such as coal mine methane and underground wastewater,is *** on the modeling and optimization dispatching of a Coal Mine-Integrated Energy System(CMIES)with CMAE effectively saves energy and reduces carbon *** has great uncertainties owing to the affections of the hydrogeology conditions and mining *** addition,thermal loads have high comfort requirements in mines,which brings great challenges to the optimization dispatching of ***,this paper studies the architecture and solution of CMIESs with a flexible thermal load and source-load ***,to effectively improve the electric and thermal conversion efficiency,the architecture of CMIES,including a concentrating solar power station,is ***,for the scheduling model with bilateral uncertainty,the interval representation method with interval variables is proposed,and a multi-objective scheduling model based on the interval variables and flexible thermal load is ***,we propose a solution method for the model with interval variables.A case study is conducted to demonstrate the performance of our model and method for lowering carbon emissions and cost.

关键词： Integrated Energy systems(IESs) Coal Mine-Integrated Energy systems(CMIES) bilateral uncertainties concentrating solar power station interval optimization

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AI LipReader-Transcribing Speech from Lip Movements 6

AI LipReader-Transcribing Speech from Lip Movements

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6th IEEE International Conference on Emerging Smart Computing and Informatics, ESCI 2024

作者： Ajitha, D. Dutta, Disha Saha, Falguni Giri, Parus Kant, Rohan School of Computer Science and Engineering Vellore Institute of Technology Vellore Department of Software Systems Vellore India School of Computer Science and Engineering Vellore Institute of Technology Department of Database Systems Vellore India School of Computer Science and Engineering Vellore Institute of Technology Vellore Department of Information Security Vellore India

ISBN: (纸本)9798350306613

Lip Reading AI is a discipline that is rapidly changing and has numerous applications in security, accessibility and human-computer interaction. This paper proposes a model which combines Convolutional Neural Networks (CNNs) to capture spatial capabilities, Long Short-Term Memory (LSTM) networks to examine temporal dependencies, and an adaptive interest mechanism. Meticulous preprocessing of the MIRACL VC-l dataset addressing challenges including one of a kind lip moves and occlusions accompanied with the aid of transitioning this study effortlessly to LRS2 dataset to complement lexemic versatility is one of its key function. The effects verify its robustness throughout unique datasets with superior overall performance towards cutting-edge techniques. Ablation checks suggest the crucial significance of every element in phrases of improving lip analyzing accuracy. Our proposed model version additionally suggests flexibility in restricted and naturalistic language situations. © 2024 IEEE.

关键词： Attention Mechanism Convolutional Neural Networks (CNNs) Deep Learning Lip Reading Long Short-Term Memory (LSTM) LRS2 Dataset MIRACLVC-J Dataset

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