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Polyethylene imine functionalized porous carbon framework for selective nitrogen dioxide sensing with smartphone communication

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Chinese Chemical Letters 2024年第9期35卷 432-436页

作者： Xiaxia Xing Xiaoyu Chen Zhenxu Li Xinhua Zhao Yingying Tian Xiaoyan Lang Dachi Yang Tianjin Key Laboratory of Optoelectronic Sensor and Sensing network Technology Engineering Research Center of Thin Film Optoelectronics TechnologyMinistry of Education and Department of ElectronicsCollege of Electronic Information and Optical EngineeringNankai UniversityTianjin 300350China

Highly selective and remotely communicable nitrogen dioxide(NO_(2))sensing may contribute to future Internet of Things in environmental ***,room-temperature NO_(2)sensing materials such as carbon materials is still less than satisfactory due to their insensitive interaction with target ***,polyethylene imine functionalized three-dimensional(3D)carbon framework(PEI/C framework)has been developed for enhanced selective NO_(2)sensing,via combined template synthesis and subsequent ***,the 3D PEI/C framework is observed porous shape with irregular ***,the response of C framework to NO_(2)increases while those of interfering gases decrease after being functionalized with ***,the sensor prototypes show a 100 ppb-concentration detection limit at room ***,such excellent NO_(2)sensing is attributed to the large specific surface ratio of porous 3D PEI/C framework,in which PEI serves as an active layer for target NO_(2),while a passivated one for interfering ***,such PEI/C framework sensor prototype is simulated for NO_(2)sensing device and communicated with a smartphone,showing great potential in future intelligent environmental monitoring.

关键词： PEI/C framework Nitrogen dioxide sensing Enhanced selectivity Smartphone communication Practical monitoring simulation

Translating Pathological Brain Activity Primers in Parkinson’s Disease Research

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Research 2024年第1期2023卷 735-752页

作者： Daniela Mirzac Svenja L.Kreis Heiko J.Luhmann Gabriel Gonzalez-Escamilla Sergiu Groppa Movement Disorders and Neurostimulation Department of NeurologyFocus Program Translational NeuroscienceRhine Main Neuroscience NetworkUniversity Medical Center of the Johannes Gutenberg University Mainz55131 MainzGermany Institute of Physiology University Medical Center of the Johannes Gutenberg University Mainz55131 MainzGermany

Translational experimental approaches that help us better trace Parkinson’s disease(PD)pathophysiological mechanisms leading to new therapeutic targets are urgently *** this article,we review recent experimental and clinical studies addressing abnormal neuronal activity and pathological network oscillations,as well as their underlying mechanisms and *** aim is to enhance our knowledge about the progression of Parkinson's disease pathology and the timing of its symptom’s ***,we present mechanistic insights relevant for the generation of aberrant oscillatory activity within the cortico-basal ganglia *** summarize recent achievements extrapolated from available PD animal models,discuss their advantages and limitations,debate on their differential applicability,and suggest approaches for transferring knowledge on disease pathology into future research and clinical applications.

关键词： clinical knowledge insight

A novel deep generative model for mRNA vaccine development: Designing 5′ UTRs with N1-methyl-pseudouridine modification

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Acta Pharmaceutica Sinica B 2024年第4期14卷 1814-1826页

作者： Xiaoshan Tang Miaozhe Huo Yuting Chen Hai Huang Shugang Qin Jiaqi Luo Zeyi Qin Xin Jiang Yongmei Liu Xing Duan Ruohan Wang Lingxi Chen Hao Li Na Fan Zhongshan He Xi He Bairong Shen Shuai Cheng Li Xiangrong Song Institute of Systems Genetics Department of Critical Care MedicineFrontiers Science Center for Disease-related Molecular NetworkState Key Laboratory of Biotherapy and Cancer CenterWest China HospitalSichuan UniversityChengdu 610000China department of Computer Science City University of Hong KongHong Kong 99907China department of Biology Brandeis UniversityBostonMA 02453USA

Efficient translation mediated by the 5'untranslated region(5'UTR)is essential for the robust efficacy of mRNA ***,the N1-methyl-pseudouridine(m1)modification of mRNA can impact the translation efficiency of the 5'*** discovered that the optimal 5'UTR for m1y-modified mRNA(m1y-5'UTR)differs significantly from its unmodified counterpart,high-lighting the need for a specialized tool for designing mly-5'UTRs rather than directly utilizing high-expression endogenous gene 5'*** response,we developed a novel machine learning-based tool,Smart5UTR,which employs a deep generative model to identify superior m1y-5'UTRs in *** tailored loss function and network architecture enable Smart5UTR to overcome limitations inherent in existing *** a result,Smart5UTR can successfully design superior 5'UTRs,greatly benefiting mRNA vaccine ***,Smart5UTR-designed superior 5'UTRs significantly enhanced antibody titers induced by COVID-19 mRNA vaccines against the Delta and Omicron variants of SARS-CoV-2,surpassing the performance of vaccines using high-expression endogenous gene 5'UTRs.

关键词： mRNA vaccine Machine learning 5'UTR mRNA design Sequence design N1-Methyl-pseudouridine COVID-19 SARS-CoV-2

Deep Learning Based Signal Detection for Quadrature Spatial Modulation System

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China Communications 2024年第10期 78-85页

作者： Shu Dingyun Peng Yuyang Yue Ming Fawaz AL-Hazemi Mohammad Meraj Mirza School of Computer Science and Engineering Macau University of Science and Technology department of Computer and network Engineering University of Jeddah department of Computer Science College of Computers and Information Technology Taif University

With the development of communication systems, modulation methods are becoming more and more diverse. Among them, quadrature spatial modulation(QSM) is considered as one method with less capacity and high efficiency. In QSM, the traditional signal detection methods sometimes are unable to meet the actual requirement of low complexity of the system. Therefore, this paper proposes a signal detection scheme for QSM systems using deep learning to solve the complexity problem. Results from the simulations show that the bit error rate performance of the proposed deep learning-based detector is better than that of the zero-forcing(ZF) and minimum mean square error(MMSE) detectors, and similar to the maximum likelihood(ML) detector. Moreover, the proposed method requires less processing time than ZF, MMSE,and ML.

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A Novel Eccentric Intrusion Detection Model Based on Recurrent Neural networks with Leveraging LSTM

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Computers, Materials & Continua 2024年第3期78卷 3089-3127页

作者： Navaneetha Krishnan Muthunambu Senthil Prabakaran Balasubramanian Prabhu Kavin Kishore Senthil Siruvangur Kavitha Chinnadurai Jehad Ali department of Computer Applications Karpagam College of EngineeringCoimbatore641032India department of Computer Science and Engineering Karpagam College of EngineeringCoimbatore641032India department of Data Science and Business Systems College of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathur603203India department of Computer Science and Engineering Sathyabama Institute of Science and TechnologyJeppiaar NagarRajiv Gandhi SalaiChennai600119India department of AI Convergence network Ajou UniversitySuwon16499Korea

The extensive utilization of the Internet in everyday life can be attributed to the substantial accessibility of online services and the growing significance of the data transmitted via the ***,this development has expanded the potential targets that hackers might *** adequate safeguards,data transmitted on the internet is significantly more susceptible to unauthorized access,theft,or *** identification of unauthorised access attempts is a critical component of cybersecurity as it aids in the detection and prevention of malicious *** research paper introduces a novel intrusion detection framework that utilizes Recurrent Neural networks(RNN)integrated with Long Short-Term Memory(LSTM)*** proposed model can identify various types of cyberattacks,including conventional and distinctive *** networks,a specific kind of feedforward neural networks,possess an intrinsic memory *** Neural networks(RNNs)incorporating Long Short-Term Memory(LSTM)mechanisms have demonstrated greater capabilities in retaining and utilizing data dependencies over extended *** such as data types,training duration,accuracy,number of false positives,and number of false negatives are among the parameters employed to assess the effectiveness of these models in identifying both common and unusual *** are utilised in conjunction with LSTM to support human analysts in identifying possible intrusion events,hence enhancing their decision-making capabilities.A potential solution to address the limitations of Shallow learning is the introduction of the Eccentric Intrusion Detection *** model utilises Recurrent Neural networks,specifically exploiting LSTM *** proposed model achieves detection accuracy(99.5%),generalisation(99%),and false-positive rate(0.72%),the parameters findings reveal that it is superior to state-of-the-art techniques.

关键词： Cybersecurity intrusion detection machine learning leveraging long short-term memory(LLSTM) CICIDS2019 dataset innovative cyberattacks

A Hybrid and Lightweight Device-to-Server Authentication Technique for the Internet of Things

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Computers, Materials & Continua 2024年第3期78卷 3805-3823页

作者： Shaha Al-Otaibi Rahim Khan Hashim Ali Aftab Ahmed Khan Amir Saeed Jehad Ali department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia department of Computer Science Abdul Wali Khan University MardanMardan23200Pakistan department of Computer Science and IT UET PeshawarJalozai Campus PeshawarPeshawar24240Pakistan department of AI Convergence network Ajou UniversitySuwon16499South Korea

The Internet of Things(IoT)is a smart networking infrastructure of physical devices,i.e.,things,that are embedded with sensors,actuators,software,and other technologies,to connect and share data with the respective server *** IoTs are cornerstones in different application domains,the device’s authenticity,i.e.,of server(s)and ordinary devices,is the most crucial issue and must be resolved on a priority ***,various field-proven methodologies were presented to streamline the verification process of the communicating devices;however,location-aware authentication has not been reported as per our knowledge,which is a crucial metric,especially in scenarios where devices are *** paper presents a lightweight and location-aware device-to-server authentication technique where the device’s membership with the nearest server is subjected to its location information along with other ***,Media Access Control(MAC)address and Advance Encryption Scheme(AES)along with a secret shared key,i.e.,λ_(i) of 128 bits,have been utilized by Trusted Authority(TA)to generate MaskIDs,which are used instead of the original ID,for every device,i.e.,server and member,and are shared in the offline ***,TA shares a list of authentic devices,i.e.,server S_(j) and members C_(i),with every device in the IoT for the onward verification process,which is required to be executed before the initialization of the actual communication ***,every device should be located such that it lies within the coverage area of a server,and this location information is used in the authentication process.A thorough analytical analysis was carried out to check the susceptibility of the proposed and existing authentication approaches against well-known intruder attacks,i.e.,man-in-the-middle,masquerading,device,and server impersonations,etc.,especially in the IoT ***,proposed authentication and existing state-of-the-art approaches have been s

关键词： Internet of things authenticity security location communication

Facing ethical concerns in the age of precise gene therapy:Outlook on inherited arrhythmias

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World Journal of Cardiology 2024年第2期16卷 64-66页

作者： Federico Carbone Fabrizio Montecucco department of Internal Medicine University of GenoaGenoa 16132Italy IRCCS Ospedale Policlinico San Martino Genoa Italian Cardiovascular NetworkGenoa 16132Italy

This editorial,comments on the article by Spartalis et al published in the recent issue of the World Journal of *** here provide an outlook on potential ethical concerns related to the future application of gene therapy in the field of inherited *** monogenic diseases with no or few therapeutic options available through standard care,inherited arrhythmias are ideal candidates to gene therapy in their *** with inherited arrhythmias typically have a poor quality of life,especially young people engaged in agonistic *** genome editing for treatment of inherited arrhythmias still has theoretical application,advances in CRISPR/Cas9 technology now allows the generation of knock-in animal models of the ***,clinical translation is somehow expected soon and this make consistent discussing about ethical concerns related to gene editing in inherited *** off-target activity is a known technical issue,but its relationship with ethnical and individual genetical diversity raises concerns about an equitable ***,the costeffectiveness may further limit an equal distribution of gene *** economic burden of gene therapies on healthcare systems is is increasingly recognized as a pressing concern.A growing body of studies are reporting uncertainty in payback periods with intuitive short-term effects for insurance-based healthcare systems,but potential concerns for universal healthcare systems in the long term as ***,those aspects strongly indicate a need of regulatory entities to manage those issues.

关键词： Ethics Inherited arrhythmias CRISPR/Cas9 Gene therapy Equitable accessibility

Expanding the horizons of targeted protein degradation:A non-small molecule perspective

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Acta Pharmaceutica Sinica B 2024年第6期14卷 2402-2427页

作者： Xiaowei Huang Fengbo Wu Jing Ye Lian Wang Xiaoyun Wang Xiang Li Gu He department of Pharmacy and department of Dermatology&Venerology West China HospitalSichuan UniversityChengdu 610041China department of Urology West China HospitalSichuan UniversityChengdu 610041China Laboratory of Dermatology Clinical Institute of Inflammation and ImmunologyFrontiers Science Center for Disease-Related Molecular Network and State Key Laboratory of BiotherapyWest China HospitalSichuan UniversityChengdu 610041China

Targeted protein degradation(TPD)represented by proteolysis targeting chimeras(PROTACs)marks a significant stride in drug discovery.A plethora of innovative technologies inspired by PROTAC have not only revolutionized the landscape of TPD but have the potential to unlock functionalities beyond ***-small-molecule-based approaches play an irreplaceable role in this field.A wide variety of agents spanning a broad chemical spectrum,including peptides,nucleic acids,antibodies,and even vaccines,which not only prove instrumental in overcoming the constraints of conventional small molecule entities but also provided rapidly renewing *** we summarize the burgeoning non-small molecule technological platforms inspired by PROTACs,including three major trajectories,to provide insights for the design strategies based on novel paradigms.

关键词： Targeted protein degradation Proteolysis targeting chimera Endocytosis Autophagy Proximity-inducing modality Post-translational modification

Theoretical Models on Interfacial Thermal Conductance of Nanoscale Solid Interfaces in Chips:A Mini Review

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Chinese Physics Letters 2024年第10期41卷 70-77页

作者： Zhicheng Zong Xiandong Chen Bin Yan Yelei Xie Jian Pang Guangyao Li Jiqiang Hu Zhipeng Wu Bo Li Haisheng Fang Nuo Yang School of Energy and Power Engineering Huazhong University of Science and TechnologyWuhan 430074China department of Packaging and Testing Institution Sanechips Technology Co.Ltd.Shenzhen 518055China State Key Laboratory of Mobile network and Mobile Multimedia Technology ZTE CorporationShenzhen 518055China

With the rapid increase in power density of electronic devices,thermal management has become urgent for the electronics *** temperature in the back-end-of-line is crucial for maintaining the reliability of integrated circuits,where many atomic-scale interfaces *** theoretical models of interface thermal conductance not only accurately predict the values but also help to analyze the underlying *** review picks up and introduces some representative theoretical models considering interfacial roughness,elastic and inelastic processes,and electron–phonon couplings,***,the limitations and problems of these models are also discussed.

关键词： mechanism. roughness limitations