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Novel N-doped multichannel carbon nanofiber architecture with porous CoS nanoprisms for high-performance potassium-ion batteries

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Rare Metals 2024年第3期43卷 971-983页

作者： Jae Bong lim Seung-Keun Park department of Advanced Materials Engineering Chung-Ang UniversityGyeonggi-do17546Republic of Korea department of Intelligence Energy and Industry Chung-Ang UniversitySeoul06974Republic of Korea Western Seoul Center Korea Basic Science InstituteSeoul03759Republic of Korea

Potassium-ion batteries(PIBs)have gained significant attention as an alternative to lithium-ion batteries(LIBs)due to the abundance of potassium(K)and low ***,the difficulty in finding appropriate electrode materials that can efficiently store the larger K ions has hindered their practical ***,we report a novel anode material,N-doped multichannel carbon nanofibers embedded with porous CoS nanoprisms(CSP@NMCNF),for high-performance *** CSP@NMCNF was synthesized using a two-step strategy comprising of the electrospinning of Co acetate hydroxide nanoprism/binary polymer blend and a subsequent heat *** porous CoS nanoprisms with an anisotropic morphology were well aligned along the length axis of the N-doped multichannel carbon nanofibers,thus ensuring their structural stability during the repeated charge-discharge *** addition,numerous pores facilitated the transport of electrons and ***,the CSP@NMCNF anode exhibited excellent electrochemical performance,delivering a high specific capacity of 368 mAh·g^(-1)at 0.5 A·g^(-1)after 200 cycles and excellent rate capability(232 mAh·g^(-1)at 2.0 A·g^(-1)).

关键词： K-ion batteries Cobalt sulfide Multichannel structured composite Electrospinning Nanoprism Porous structure

A short overview of the lead iodide residue impact and regulation strategies in perovskite solar cells

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Journal of Energy Chemistry 2024年第3期90卷 504-510,I0012页

作者： Eng Liang lim Zhanhua Wei Xiamen Key Laboratory of Optoelectronic Materials and Advanced Manufacturing Institute of Luminescent Materials and Information DisplaysCollege of Materials Science and EngineeringHuaqiao UniversityXiamen 361021FujianChina

Lead iodide(PbI2) is a vital raw material for preparing perovskite solar cells(PSCs),and it not only takes part in forming the light absorption layer but also remains in the grain boundary as a *** other words,the PbI2 content in the precursor and as formed film will affect the efficiency and stability of the *** moderate residual PbI2,it passivates the bulk/surface defects of perovskite,reduces the interfacial recombination,promotes the perovskite stability,minimizes the device hysteresis,and so *** PbI2 residue will reduce the interfacial passivation effect and device *** addition to facilitating the non-radiative recombination,over PbI2 residue can also lead to electronic insulation in the grain boundary and deteriorate the device ***,the impact and regulation of PbI2 residue on the device performance and stability is still not fully ***,a comprehensive and detailed review is presented by discussing the PbI2 residue impact and its regulation strategies(i.e., elimination,facilitation and conversion of the residue PbI2) to manipulate the PbI2 content,distribution and ***,we also show future outlooks in this field,with an aim to help further the progression of high-efficiency and stable PSCs.

关键词： Lead iodide Residue Regulation Perovskite solar cells Efficiency Stability

Reconfigurable transmissive metasurface with a combination of scissor and rotation actuators for independently controlling beam scanning and polarization conversion

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Microsystems & Nanoengineering 2024年第2期10卷 173-180页

作者： Chhunheng Lor Ratanak Phon Sungjoon lim Intelligent Semiconductor Engineering Chung-Ang UniversityHeukseok-DongDongjak-GuSeoul06974Republic of Korea School of Electrical and Electronic Engineering Chung-Ang UniversityHeukseok-DongDongjak-GuSeoul06974Republic of Korea

Polarization conversion and beam scanning metasurfaces are commonly used to reduce polarization mismatch and direct electromagnetic waves in a specific direction to improve the strength of a wireless ***,identifying suitable active and mechanically reconfigurable metasurfaces for polarization conversion and beam scanning is a considerable challenge,and the reported metasurfaces have narrow scanning ranges,are expensive,and cannot be independently *** this paper,we propose a reconfigurable transmissive metasurface combined with a scissor and rotation actuator for independently controlling beam scanning and polarization conversion *** metasurface is constructed with rotatable unit cells(UCs)that can switch the polarization state between right-handed(RhCP)and left-handed circular polarization(LhCP)by flipping the UCs to reverse their phase ***,independent beam scanning is achieved using the scissor actuator to linearly change the distance between the *** and experimental results confirm that the proposed metasurface can perform beam scanning in the range of 28°for both the positive and negative regions of a radiation pattern(RhCP and LhCP beams)at an operational frequency of 10.5 Ghz.

关键词： beam rotation controlling

detection and defending the XSS attack using novel hybrid stacking ensemble learning-based dNN approach

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digital Communications and Networks 2024年第3期10卷 716-727页

作者： Muralitharan Krishnan Yongdo lim Seethalakshmi Perumal Gayathri Palanisamy IMS Sungkyunkwan UniversitySuwon16419South Korea department of Mathematics Sungkyunkwan UniversitySuwon16419South Korea department of Information Technology Madras Institute of TechnologyChennaiIndia department of Mathematics PSG College of Arts and ScienceTamilnaduIndia

Existing web-based security applications have failed in many situations due to the great intelligence of *** web applications,Cross-Site Scripting(XSS)is one of the dangerous assaults experienced while modifying an organization's or user's *** avoid these security challenges,this article proposes a novel,all-encompassing combination of machine learning(NB,SVM,k-NN)and deep learning(RNN,CNN,LSTM)frameworks for detecting and defending against XSS attacks with high accuracy and *** on the representation,a novel idea for merging stacking ensemble with web applications,termed“hybrid stacking”,is *** order to implement the aforementioned methods,four distinct datasets,each of which contains both safe and unsafe content,are *** hybrid detection method can adaptively identify the attacks from the URL,and the defense mechanism inherits the advantages of URL encoding with dictionary-based mapping to improve prediction accuracy,accelerate the training process,and effectively remove the unsafe JScript/JavaScript keywords from the *** simulation results show that the proposed hybrid model is more efficient than the existing detection *** produces more than 99.5%accurate XSS attack classification results(accuracy,precision,recall,f1_score,and Receiver Operating Characteristic(ROC))and is highly resistant to XSS *** order to ensure the security of the server's information,the proposed hybrid approach is demonstrated in a real-time environment.

关键词： Machine learning deep neural networks Classification Stacking ensemble XSS attack URL encoding JScript/JavaScript Web security

Alterations of protein homeostasis in Alzheimer's disease:beyond Procrustean bed of endoplasmic reticulum stress and unfolded protein response

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Neural Regeneration Research 2024年第8期19卷 1645-1646页

作者： dmitry lim Alexei Verkhratsky department of Pharmaceutical Sciences Universitàdel Piemonte Orientale“Amedeo Avogadro”NovaraItaly Faculty of Biology Medicine and HealthThe University of ManchesterManchesterUK Achucarro Center for Neuroscience IKERBASQUEBasque Foundation for ScienceBilbaoSpain&Department of NeurosciencesUniversity of the Basque Country UPV/EHU and CIBERNEDLeioaSpain department of Stem Cell Biology State Research Institute Centre for Innovative MedicineVilniusLithuania department of Forensic Analytical Toxicology School of Forensic MedicineChina Medical UniversityShenyangLiaoning ProvinceChina

Alzheimer’s disease(Ad)is a major age-related form of dementia with a number of cases exponentially growing,causing enormous social and economic impact on individuals and *** hallmarks of Ad,evident in postmortem Ad brains,include a massive loss of the grey matter in the neocortex,extracellular deposition of amyloid-β(Aβ)in the form of senile plaques and cerebrovascular amyloid angiopathy,and intra-neuronal accumulation of neurofibrillary tangles,formed by hyper-phosphorylated tau protein.

关键词： Alzheimer homeostasis cortex

A review of understanding electrocatalytic reactions in energy conversion and energy storage systems via scanning electrochemical microscopy

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Journal of Energy Chemistry 2024年第4期91卷 155-177页

作者： Jihye Park Jong hwan lim Jin-hyuk Kang Jiheon lim ho Won Jang hosun Shin Sun hwa Park Interdisciplinary Materials Measurement Institute Korea Research Institute of Standards and ScienceDaejeon 34113Republic of Korea department of Material Science and Engineering Seoul National UniversitySeoul 08826Republic of Korea department of Applied Measurement Science University of Science and TechnologyDaejeon 34113Republic of Korea

To address climate change and promote environmental sustainability,electrochemical energy conversion and storage systems emerge as promising alternative to fossil fuels,catering to the escalating demand for *** optimal energy efficiency and cost competitiveness in these systems requires the strategic design of electrocatalysts,coupled with a thorough comprehension of the underlying mechanisms and degradation behavior occurring during the electrocatalysis *** electrochemical microscopy(SECM),an analytical technique for studying surface electrochemically,stands out as a powerful tool offering electrochemical *** possesses remarkable spatiotemporal resolution,enabling the visualization of the localized electrochemical activity and surface *** review compiles crucial research findings and recent breakthroughs in electrocatalytic processes utilizing the SECM methodology,specifically focusing on applications in electrolysis,fuel cells,and metal–oxygen batteries within the realm of energy conversion and storage *** with an overview of each energy system,the review introduces the fundamental principles of SECM,and aiming to provide new perspectives and broadening the scope of applied research by describing the major research categories within SECM.

关键词： Scanning electrochemical microscopy Electrocatalyst Electrocatalysis Water splitting Fuel cell Metal-oxygen battery

Probing the endoplasmic reticulummitochondria interaction in Alzheimer's disease:searching far and wide

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Neural Regeneration Research 2024年第10期19卷 2103-2104页

作者： Giulia dematteis Laura Tapella dmitry lim department of Pharmaceutical Sciences Universitàdel Piemonte Orientale“Amedeo Avogadro”NovaraItaly

Alzheimer's disease(Ad)is the most frequent,form of dementia in elderly people and is an incurable disease with an exponentially growing number of *** deposition of amyloid-β(Aβ)plaques and intraneuronal formation o... 详细信息

关键词： Alzheimer Aβ reticulum

Safety-Constrained Multi-Agent Reinforcement Learning for Power Quality Control in distributed Renewable Energy Networks

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Computers, Materials & Continua 2024年第4期79卷 449-471页

作者： Yongjiang Zhao haoyi Zhong Chang Cyoon lim department of Computer Engineering Chonnam National UniversityYeosu59626South Korea

This paper examines the difficulties of managing distributed power systems,notably due to the increasing use of renewable energy sources,and focuses on voltage control challenges exacerbated by their variable nature in modern power *** tackle the unique challenges of voltage control in distributed renewable energy networks,researchers are increasingly turning towards multi-agent reinforcement learning(MARL).however,MARL raises safety concerns due to the unpredictability in agent actions during their exploration *** unpredictability can lead to unsafe control *** mitigate these safety concerns in MARL-based voltage control,our study introduces a novel approach:Safety-ConstrainedMulti-Agent Reinforcement Learning(SC-MARL).This approach incorporates a specialized safety constraint module specifically designed for voltage control within the MARL *** module ensures that the MARL agents carry out voltage control actions *** experiments demonstrate that,in the 33-buses,141-buses,and 322-buses power systems,employing SC-MARL for voltage control resulted in a reduction of the Voltage Out of Control Rate(%***)from0.43,0.24,and 2.95 to 0,0.01,and 0.03,***,the Reactive Power Loss(Q loss)decreased from 0.095,0.547,and 0.017 to 0.062,0.452,and 0.016 in the corresponding systems.

关键词： Power quality control multi-agent reinforcement learning safety-constrained MARL

Abnormal State detection in Lithium-ion Battery Using dynamic Frequency Memory and Correlation Attention LSTM Autoencoder

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Computer Modeling in Engineering & Sciences 2024年第8期140卷 1757-1781页

作者： haoyi Zhong Yongjiang Zhao Chang Gyoon lim department of Computer Engineering Chonnam National UniversityYeosu59626South Korea

This paper addresses the challenge of identifying abnormal states in Lithium-ion Battery(LiB)time series *** the energy sector increasingly focuses on integrating distributed energy resources,Virtual Power Plants(VPP)have become a vital new framework for energy *** are key in this context,owing to their high-efficiency energy storage capabilities essential for VPP ***,LiBs are prone to various abnormal states like overcharging,over-discharging,and internal short circuits,which impede power transmission *** methods for detecting such abnormalities in LiB are too broad and lack precision for the dynamic and irregular nature of LiB *** response,we introduce an innovative method:a Long Short-Term Memory(LSTM)autoencoder based on dynamic Frequency Memory and Correlation Attention(dFMCA-LSTM-AE).This unsupervised,end-to-end approach is specifically designed for dynamically monitoring abnormal states in LiB *** method starts with a dynamic Frequency Fourier Transform module,which dynamically captures the frequency characteristics of time series data across three scales,incorporating a memory mechanism to reduce overgeneralization of abnormal *** is followed by integrating LSTM into both the encoder and decoder,enabling the model to effectively encode and decode the temporal relationships in the time *** tests on a real-world LiB dataset demonstrate that dFMCA-LSTM-AE outperforms existing models,achieving an average Area Under the Curve(AUC)of 90.73%and an F1 score of 83.83%.These results mark significant improvements over existing models,ranging from 2.4%–45.3%for AUC and 1.6%–28.9%for F1 score,showcasing the model’s enhanced accuracy and reliability in detecting abnormal states in LiB data.

关键词： Lithium-ion battery abnormal state detection autoencoder virtual power plants LSTM