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Additive‑Driven Interfacial Engineering of Aluminum Metal Anode for Ultralong Cycling Life

Nano-Micro Letters 2023年第2期15卷 143-160页

作者： Sonal Kumar prasad rama Gaoliang Yang Wei Ying Lieu Deviprasath Chinnadurai Zhi Wei Seh Institute of Materials Research and Engineering Agency for ScienceTechnology and Research(A*STAR)2 Fusionopolis WayInnovisSingapore 138634Singapore Department of Chemistry and Molecular Biology University of Gothenburg41125 GothenburgSweden Pillar of Engineering Product Development Singapore University of Technology and Design8 Somapah RoadSingapore 487372Singapore

Rechargeable Al batteries(RAB)are promising candidates for safe and environmentally sustainable battery systems with low-cost ***,the currently used aluminum chloridebased electrolytes present a significant challenge to commercialization due to their corrosive ***,we report for the first time,a novel electrolyte combination for RAB based on aluminum trifluoromethanesulfonate(Al(OTf)_(3))with tetrabutylammonium chloride(TBAC)additive in *** presence of a mere 0.1 M of TBAC in the Al(OTf)_(3) electrolyte generates the charge carrying electrochemical species,which forms the basis of reaction at the *** reduces the charge transfer resistance and the surface activation energy at the anode surface and also augments the dissociation of Al(OTf)_(3) to generate the solid electrolyte interphase *** electrolyte’s superiority directly translates into reduced anodic overpotential for cells that ran for 1300 cycles in Al plating/stripping tests,the longest cycling life reported to *** unique combination of salt and additive is non-corrosive,exhibits a high flash point and is cheaper than traditionally reported RAB electrolyte combinations,which makes it commercially *** this report,we address a major roadblock in the commercialization of RAB and inspire equivalent electrolyte fabrication approaches for other metal anode batteries.

关键词： Aluminum-ion batteries Solid electrolyte interphase Electrolyte additives Non-aqueous electrolytes

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Design of Power System Stabilizer for DFIG-based Wind Energy Integrated Power Systems Under Combined Influence of PLL and Virtual Inertia Controller

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Journal of Modern Power Systems and Clean Energy 2024年第2期12卷 524-534页

作者： Balakrushna Sahu Bibhu prasad Padhy Department of Electrical Engineering Indian Institute of Technology RoparPunjab140001India

Wind energy systems (WESs) based on doubly-fed induction generators (DFIGs) have enormous potential for meeting the future demands related to clean energy. Due to the low inertia and intermittency of power injection, a WES is equipped with a virtual inertial controller (VIC) to support the system during a frequency deviation event. The frequency deviation measured by a phase locked loop (PLL) installed on a point of common coupling (PCC) bus is the input signal to the VIC. However, a VIC with an improper inertial gain could deteriorate the damping of the power system, which may lead to instability. To address this issue, a mathematical formulation for calculating the synchronizing and damping torque coefficients of a WES-integrated single-machine infinite bus (SMIB) system while considering PLL and VIC dynamics is proposed in this paper. In addition, a power system stabilizer (PSS) is designed for wind energy integrated power systems to enhance electromechanical oscillation damping. A small-signal stability assessment is performed using the infinite bus connected to a synchronous generator of higher-order dynamics integrated with a VIC-equipped WES. Finally, the performance and robustness of the proposed PSS is demonstrated through time-domain simulation in SMIB and nine-bus test systems integrated with WES under several case studies.

关键词： Doubly-fed induction generator(DFIG) virtual inertia controller(VIC) phase locked loop(PLL) small-signal analysis synchronizing/damping torque synchronous generator power system stabilizer(PSS)

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Connecting Productivity with Social Capital via Daily Mobile Phone Logs

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Social Networking 2016年第2期5卷 62-74页

作者： B. Padmaja V. V. rama prasad K. V. N. Sunitha Department of CSE JNTUH Hyderabad India Department of CSE Sree Vidyanikethan Engineering College Tirupati India BVRIT Hyderabad College of Engineering for Women Hyderabad India

Human behavior and their social interactions can be quantified and modeled with the use of smart phones and any wearable badges which senses and captures real-life interactions. In traditional social sciences, such information was gathered by conducting surveys. However in digital era, smart phones are regarded as a popular tool which automatically senses much human information to quantify our lives. Reality mining gives a clear picture of a human being and its social relations. Social Network Analysis (SNA) is a powerful research tool which provides a comprehensive analysis on ego-alters communications with their individual productivity within a community. In this paper, various popular measures of social network analysis have used to study a closed community through their mobile call logs for a period of time. We experimented various social network measures both on daily basis and also over a period of time. The pattern shows that the relationships and interaction between ego-alter ties have more productive benefits. Using Pearsoncorrelation analysis, we observed that significant (positive) correlation exists between various network properties and their productivity. Results showed that degree (size) has the strongest positive correlation with average productivity, followed by effective size, efficiency, constraint, hierarchy, and k-core of an individual. Density and betweenness centrality have a weak, negative correlation with productivity. Hence social capital has a significant influence on human productivity.

关键词： Reality Mining Social Network Analysis (SNA) Social Capital

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A Pair of Pseudo-differential Operators Involving Index Whittaker Transform in L_(2)^(a) (R_(+);m_(a)(x)dx)

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Acta Mathematica Sinica,English Series 2024年第6期40卷 1420-1430页

作者： Jeetendrasingh MAAN Akhilesh prasad Department of Mathematics and Computing Indian Institute of Technology(Indian School of Mines)Dhanbad-826004India

Pseudo-differential operators(PDO)Q(x,L_(a,x))and Q(x,L_(a,x))involving the index Whittaker transform are *** for these operators in Hilbert space L_(2)^(a)(R+;m_(a)(x)dx)are obtained.A symbol classΩis *** product an... 详细信息

关键词： Pseudo-differential operator index Whittaker transform confluent hypergeometric functions Hilbert space

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A novel control strategy of a variable-speed doubly-fed-induction-generator-based wind energy conversion system

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CLEAN ENERGY 2024年第1期8卷 153-170页

作者： Mohapatra, Shibani prasad Dash, Pradipta Kishore Siksha O Anusandhan Deemed Univ Dept Elect Engn Bhubaneswar 751030 Odisha India Siksha O Anusandhan Deemed Univ Multidisciplinary Res Cell Bhubaneswar 751030 Odisha India

This paper aims to address the issue of control of a variable-speed wind turbine based on doubly-fed induction generators. In this work, an effort is made to extract the maximum efficiency from a doubly-fed induction generator-based variable-speed wind turbine by controlling the rotor current. In the first step, a maximum power point tracking technique is used to extract the maximum power from the turbine. Then a stator-flux-oriented vector control strategy is employed to control the rotor-side current. Subsequently, a grid voltage vector-oriented control strategy is used to control the grid-side system of the grid-connected generator. Considering the nonlinearity and parameter uncertainty of the system, an active disturbance rejection controller with a sliding-mode-based extended-state observer is developed for the above-mentioned control strategies. Furthermore, the stability of the controller is tested and the performance of the controller is compared with the classical proportional-integral controller based on disturbance rejection, robustness and tracking capability in a highly non-linear wind speed variation scenario. Modelling, control and comparison are conducted in the MATLAB (R)/Simulink (R) environment. Finally, a real-time hardware set-up is presented using the dSPACE ds-1104 R&D processing board to validate the control scheme. From the result of the experiments, it is seen that the proposed controller takes 10-15 control cycles to settle to its steady-state values, depending on the control loop, whereas the conventional proportional-integral controller takes 60-75 control cycles. As a result, the settling time for the proposed control scheme is shorter than that of the proportional-integral controller. The maximum efficiency is extracted from a doubly-fed induction generator-based variable-speed wind turbine by controlling the rotor current. A maximum power point tracking technique is used in combination with a stator-flux-oriented vector control strate

关键词： doubly-fed induction generator variable-speed wind turbine vector control active disturbance rejection controller stability analysis NONLINEAR CONTROL DFIG TURBINE

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Liver transplantation as an alternative for the treatment of non-resectable liver colorectal cancer: Advancing the therapeutic algorithm

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Hepatobiliary & Pancreatic Diseases International 2024年第2期23卷 154-159页

作者： Badi Rawashdeh Richard Bell Abdul Hakeem Raj prasad Division of Transplant Surgery Department of General SurgeryMedical College of WisconsinMilwaukeeWI53226USA Leeds Teaching Hospital LeedsUK

Colorectal cancer is a leading cause of cancerrelated mortality,with nearly half of the affected patients developing liver *** three decades,liver resection(LR)has been the primary curative strategy,yet its applicability is limited to about 20%of *** transplantation(LT)for unresectable metastases was attempted unsuccessfully in the 1990s,with high rates of perioperative death and *** is now more interest in this strategy due to improvements in systemic therapies and surgical techniques.A significant study conducted by the Oslo group showed that patients receiving liver transplants had a 60%chance of survival after five *** better results have been achieved by using advanced imaging for risk stratification and further refining selection criteria,especially in the Norvegian SECA *** review carefully charts the development and history of LT as a treatment option for colorectal cancer liver *** revolutionary path from the early days of exploratory surgery to the current situation of cautious optimism is traced,highlighting the critical clinical developments and improved patient selection standards that have made LT a potentially curative treatment for such challenging very well selected cases.

关键词： Liver transplantation Colorectal cancer liver metastases Non-resectable liver metastases

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Numerical modelling of post-failure behaviors of coal specimens

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第2期16卷 514-531页

作者： Ajeet Yadav Bhaskara Behera Gauri Shankar prasad Singh Sanjay Kumar Sharma Department of Mining Engineering Indian Institute of Technology(Banaras Hindu University)VaranasiUttar Pradesh221005India

A modelling approach consisting of best-fit relations to estimate the post-yield strength parameters is presented for simulating post-peak behavior beyond the point of residual strength of coal pillars having different w/h *** model was developed based on back-analysis of the complete stress-strain behavior of specimens belonging to six different Indian coal seams with different w/h ratios of 0.5 *** was found that the simultaneous degradation of the cohesion and friction angle of the Mohr-Coulomb rock material characterizes the post-peak strength behavior of the *** resulting expressions are simplistic as they require parameters that can be easily determined using uniaxial and triaxial compression ***,the developed model was validated by simulating the triaxial tests of coal specimens with different sizes under varying confining stresses and comparing its findings with the published test *** study showed that its implementation in the numerical model could reproduce laboratory-observed mechanical response,deformation behavior,and failure mechanism very closely.

关键词： Strain softening Dilatancy Interface Shape effect Residual strength

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Enhancing corrosion resistance of plasma electrolytic oxidation coatings on AM50 Mg alloy by inhibitor containing Ba(NO_(3))_(2) solutions

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International Journal of Minerals,Metallurgy and Materials 2024年第9期31卷 2048-2061页

作者： Jirui Ma Xiaopeng Lu Santosh prasad Sah Qianqian Chen You Zhang Fuhui Wang Corrosion and Protection Center Northeastern UniversityShenyang110819China Faculty of Engineering Hokkaido UniversityHokkaido 060-8628Japan College of New Materials and Chemical Engineering Beijing Institute of Petrochemical TechnologyBeijing 102617China

To enhance the long-term corrosion resistance of the plasma electrolytic oxidation(PEO)coating on the magnesium(Mg)alloy,an inorganic salt combined with corrosion inhibitors was used for posttreatment of the *** this study,the corrosion performance of PEO-coated AM50 Mg was significantly improved by loading sodium lauryl sulfonate(SDS)and sodium dodecyl benzene sulf-onate into Ba(NO_(3))_(2) post-sealing *** electron microscopy,X-ray photoelectron spectroscopy,X-ray diffraction,Fourier transform infrared spectrometer,and ultraviolet-visible analyses showed that the inhibitors enhanced the incorporation of BaO_(2) into PEO *** impedance showed that post-sealing in Ba(NO_(3))_(2)/SDS treatment enhanced corrosion resistance by three orders of *** total impedance value remained at 926Ω·cm^(2)after immersing in a 0.5wt%NaCl solution for 768 h.A salt spray test for 40 days did not show any obvious region of corrosion,proving excellent post-sealing by Ba(NO_(3))_(2)/SDS *** corrosion resistance of the coating was enhanced through the synergistic effect of BaO2 pore sealing and SDS adsorption.

关键词： Mg plasma electrolytic oxidation posttreatment corrosion resistance

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Exercise and exerkine upregulation:Brain-derived neurotrophic factor as a potential non-pharmacological therapeutic strategy for Parkinson’s disease

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BIOCELL 2024年第5期48卷 693-706页

作者： VIRAAJ VISHNU prasad JENNIFER SALLY SAMSON VENKATACHALAM DEEPA PARVATHI Department of Biomedical Sciences Sri Ramachandra Institute of Higher Education and ResearchChennai600116India

Physical activity and exercise have several beneficial roles in enhancing both physiological and psychological well-being of an *** addition to aiding the regulation of aerobic and anaerobic metabolism,exercise can stimulate the synthesis of exerkine hormones in the circulatory *** several exerkines that have been investigated for their therapeutic potential,Brain-derived neurotrophic factor(BDNF)is considered the most promising candidate,especially in the management of neurodegenerative *** to the ability of physical activity to enhance BDNF synthesis,several experimental studies conducted so far have validated this hypothesis and produced satisfactory results at the pre-clinical *** review highlights some of the recent animal model studies that have evaluated the efficiency of exercise in enhancing BDNF synthesis and promoting neuroprotective ***,this review focuses on understanding the therapeutic benefits of exercise-induced exerkine synthesis as a non-pharmacological strategy in Parkinson’s disease(PD).Regarding physical activity and exerkine induction,the neuromuscular electrical stimulation(NMES)strategy could be considered as an alternate treatment modality for patients affected with PD.

关键词： Exercise therapy Dopaminergic neurons Parkinson’s disease Brain-derived neurotrophic factor Electrical stimulation

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An Intelligent Big Data Security Framework Based on AEFS-KENN Algorithms for the Detection of Cyber-Attacks from Smart Grid Systems

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Big Data Mining and Analytics 2024年第2期7卷 399-418页

作者： Sankaramoorthy Muthubalaji Naresh Kumar Muniyaraj Sarvade Pedda Venkata Subba Rao Kavitha Thandapani Pasupuleti rama Mohan Thangam Somasundaram Yousef Farhaoui Department of Electrical and Electronics Engineering CMR College of Engineering&TechnologyHyderabad 501401India Department of Electronics and Communication Engineering Vardhaman College of Engineering KacharamShamshabad 501218India Department of Electronics and Communication Engineering Sreenidhi Institute of Science and TechnologyHyderabad 501301India Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennai 600062India Department of Electrical and Electronics Engineering Bharat Institute of Engineering and TechnologyHyderabad 501510India Department of Computer Science and Engineering Amrita School of ComputingAmrita Vishwa VidhyapeethamBengaluru 560035India T-IDMS Department of Computer ScienceFaculty of Sciences and TechniquesMoulay Ismail UniversityErrachidia 52000Morocco

Big data has the ability to open up innovative and ground-breaking prospects for the electrical grid,which also supports to obtain a variety of technological,social,and financial *** is an unprecedented amount of heterogeneous big data as a consequence of the growth of power grid technologies,along with data processing and advanced *** main obstacles in turning the heterogeneous large dataset into useful results are computational burden and information *** original contribution of this paper is to develop a new big data framework for detecting various intrusions from the smart grid systems with the use of AI ***,an AdaBelief Exponential Feature Selection(AEFS)technique is used to efficiently handle the input huge datasets from the smart grid for boosting ***,a Kernel based Extreme Neural Network(KENN)technique is used to anticipate security vulnerabilities more *** Polar Bear Optimization(PBO)algorithm is used to efficiently determine the parameters for the estimate of radial basis ***,several types of smart grid network datasets are employed during analysis in order to examine the outcomes and efficiency of the proposed AdaBelief Exponential Feature Selection-Kernel based Extreme Neural Network(AEFS-KENN)big data security *** results reveal that the accuracy of proposed AEFS-KENN is increased up to 99.5%with precision and AUC of 99%for all smart grid big datasets used in this study.

关键词： smart grid Machine Learning(ML) big data analytics AdaBelief Exponential Feature Selection(AEFS) Polar Bear Optimization(PBO) Kernel Extreme Neural Network(KENN)

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