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Molecular and cellular pathophysiology of circulating cardiomyocyte-specific cell free DNA (cfDNA): Biomarkers of heart failure and potential therapeutic targets

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Genes & Diseases 2023年第3期10卷 948-959页

作者： abhi Dutta Moumita Das Ankita Ghosh Santanu Rana Raja Peary Mohan College Integrated Biological Research Facility(RIBRF) Raja Peary Mohan CollegeUttarparaHooghlyWest Bengal 712258India

Pathological cardiac damage during heart failure is associated with cell death and damage associated molecular patterns (DAMPs) release which triggers a viscous cycle of sterile inflammation to mediate maladaptive cardiac tissue remodelling during the progression to heart failure. DAMPs like cytokines, chemokines, and nuclear or mitochondrial genomic fragments are released in the pathological myocardium. Interestingly, circulating or cytosolic DNA fragments can play a role in the disease by interaction with nucleic acid sensors expressed in cardiomyocyte and non-myocyte neighbouring cells. The circulating cell free DNA (cfDNA) fragments have been clinically reported as markers for various diseases including cardiovascular pathophysiology. Such cfDNA within the DAMP pool can mediate intra- and inter-cellular signalling cascade to upregulate transcriptional expression of inflammatory mediators and trigger oxidative stress within cells. The cellular role of such genomic equivalents varying with chronic or acute stress might be correlated with the cell death forms encountered in myocardium during disease progression. Thus, cfDNA can be phenotypically correlated as a critical player towards upregulation of pathological processes like interstitial fibrosis, cardiomyocyte contractile dysfunction and cell death. Herein, we review the association of cfDNA with heart failure and analyse their potential usage as novel and effective therapeutic targets towards augmentation of cardiac function.

关键词： Apoptosis Circulating DNA Fibrosis Heart failure Inflammation Nucleic acid receptor

Prospects of gluino searches in multi-lepton channels in light of the ongoing LHC RUN-Ⅲ

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Chinese Physics C 2023年第10期47卷 77-98页

作者： abhi Mukherjee Saurabh Niyogi Sujoy Poddar Jyoti Prasad Saha Department of Physics University of KalyaniKalyani 741235India Gokhale Memorial Girls'College 1/1 Harish Mukherjee RoadKolkata 700020India Department of Physics Diamond Harbour Women's UniversityDiamond Harbour RoadSarishaSouth 24 ParganasWest Bengal 743368India

This study investigates the prospect of discovering strongly interacting gluinos in different multi-lepton channels with lepton multiplicities greater than or equal to 2 at LHC RUN-Ⅲ,considering several pMSSM *** effectiveness of the multivariate analysis(MVA) method with the boosted decision tree(BDT) algorithm is explored to obtain a better significance for different *** results are obtained for the 3-lepton channels,indicating that the use of MVA methods can improve the sensitivity of the search for gluinos at LHC RUN-Ⅲ.The study probes the multi-lepton signatures arising from gluinos via intermediate eweakinos and sleptons at an early stage of the LHC RUN-Ⅲ.The heavier eweakinos can give rise to three or four lepton signals,in which the squark hierarchy between the L and R types plays a crucial *** study considers two sets of benchmark points that satisfy all the collider constraints obtained from the LHC RUN-Ⅱ ***,these sets of benchmark points are mostly consistent with WMAP/PLANCK data and the muon(g-2) *** corresponding results from the MVA technique demonstrate that,even for an integrated luminosity of 270 fb-1,the 5 σ discovery prospect of3l+jets+ETfor Mg=1.8 TeV in the wino type model is *** study also presents various other models that may emerge at the early stage of LHC RUN-Ⅲ.Wino type models in the scenario where left squarks are light and right squarks are heavy exhibit the best prospect of discovering gluinos in multi-lepton channels in the LHC RUN-Ⅲ *** findings of this study provide crucial insights into the potential discovery of gluinos in multi-lepton channels.

关键词： supersymmetry phenomenology pMSSM Large Hadron Collider

Mainstreaming responsible conduct of research education in Malaysia

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Forensic Sciences Research 2021年第3期6卷 338-340页

作者： De-Ming Chau Lay Ching Chai Manraj Singh Cheema abhi Veerakumarasivam Department of Biomedical Sciences Universiti Putra MalaysiaSelangorMalaysia Young Scientists Network-Academy of Sciences Malaysia Kuala LumpurMalaysia School of Medical and Life Sciences Sunway UniversitySelangorMalaysia

Trust is the bedrock of research,built on honesty,responsibility,accountability,and *** embraced by all researchers and embedded in all aspects of research,these values help ensure that research has a positive impact on the research community,public,and policy makers,thereby enabling discoveries and innovations to enhance the well-being of humanity.

关键词： rock education thereby

OPTIMAL DECOMPOSITION OF LARGE SCALE SENSOR NETWORKS FOR ENERGY EFFICIENT SENSING

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OPTIMAL DECOMPOSITION OF LARGE SCALE SENSOR NETWORKS FOR ENE...

Next-generation blockchain enabled smart grid: Conceptual framework, keytechnologies and industry practices review

第七届海内外青年设计与制造科学会议

作者： Daniel Ball Robert X. Gao abhi Deshmukh Department of Mechanical ＆ Industrial Engineering University of Massachusetts AmherstMAUSA Department of Mechanical ＆ Industrial Engineering University of Massachusetts AmherstMAUSA Department of Mechanical ＆ Industrial Engineering University of Massachusetts AmherstMAUSA

＜正＞This paper presents a strategy for the optimal decomposition of large-scale sensor networks, and subsequent design of a sectioned Bayesian network for energy efficient sensing. A key issue in the design of Bayesian networks for monitoring engineering systems is to ensure that a reliable inference scheme about the health of the system can be made by combining information acquired from each sensor in the system into a single Bayesian network. However, as the size of the network rapidly grows, aggregating information made by all the sensors becomes computationally intractable. Hence, sectioning of the Bayesian network based on functional or logical constraints allows for improved computational efficiency in aggregating information while reducing the overall communication requirements. This approach ultimately leads to a reduction of the energy costs, which is critical to sustained and effective operation of the sensor network. Sectioning of the Bayesian network into a Multiply Sectioned Bayesian Network （MSBN）, however, must follow both the physical constraints of the system and specific conditions that allow for valid inferential analysis of the system state. The goal of this paper is to provide guidelines that will yield an optimal network decomposition design while satisfying these physical and inferential constraints. The overall decomposition problem is formulated as a nonlinear network optimization problem, with the objective of minimizing the cumulative energy used by the sensor network while satisfying the structural and inferential constraints of the MSBN, as well as the physical requirements specified by the problem domain. Efficient heuristics for decomposing sensor networks into an optimal MSBN are proposed. The proposed method is then tested for a sample sensor network system and the computational results are presented.

关键词： Sensor networks energy efficiency uncertain reasoning

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Energy and AI 2023年第2期12卷 187-205页

作者： Shekh S.Uddin Rahul Joysoyal Subrata K.Sarker S.M.Muyeen Md.Firoj Ali Md.Mehedi Hasan Sarafat Hussain abhi Md.Robiul Islam Md.Hafiz Ahamed Md.Manirul Islam Sajal K.Das Md.Faisal R.Badal Prangon Das Zinat Tasneem Department of Mechatronics Engineering Rajshahi University of Engineering&TechnologyRajshahi 6204Bangladesh Department of Electrical Engineering Qatar UniversityQatar

Technological advancements in smart grid energy systems (SGESs) are introducing sustainable frameworksto meet the demand for the fourth industrial energy revolution. These frameworks are planned to be usedin the forthcoming future to maintain the energy network operation with optimization, energy trading, gridautomation, and so on. Blockchain (BCn), developing after passing a diverse period of the research journey,comes to the mind of researchers and its integration in SGES paves the way to reach the goal of energydemand. However, still of interest is ongoing in the improvement of BCn features which can be regarded asthe next-generation blockchain framework. This paper exhibits the technical framework of the next-generationBCn framework and explores its benefits and challenges in performing the emerging aspects of SGES. Thisframework enables some advanced features for the sustainable operation of SGES like smart metering, peer-topeer (P2P) energy trading, self-operation, and transparency. The technical explanation of this BCn technologyestablished on essential features and requisites is also presented in this paper from various points of viewwhich include smart mechanism, intelligent storage system, and interoperability. We also highlight the recentprogress and limitations of the current BCn framework in SGES. Finally, some challenges towards integratingthe next-generation BCn technology in SGES are reported. This work can provide extended support for thepractitioner and researcher in the context of BCn technology and SGES.

关键词： Blockchain Smart grid energy system Smart contract

Data-driven next-generation smart grid towards sustainable energy evolution: techniques and technology review

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Protection and Control of Modern Power Systems 2023年第3期8卷 97-138页

作者： Faiaz Ahsan Nazia Hasan Dana Subrata K.Sarker Li Li S.M.Muyeen Md.Firoj Ali Zinat Tasneem Md.Mehedi Hasan Sarafat Hussain abhi Md.Robiul Islam Md.Hafiz Ahamed Md.Manirul Islam Sajal K.Das Md.Faisal R.Badal Prangon Das Department of Mechatronics Engineering Rajshahi University of Engineering and TechnologyRajshahiBangladesh School of Electrical and Data Engineering Faculty of Engineering and ITUniversity of Technology SydneyUltimoAustralia Electrical Engineering Department Qatar UniversityDohaQatar

Meteorological changes urge engineering communities to look for sustainable and clean energy technologies to keep the environment safe by reducing CO_(2) *** structure of these technologies relies on the deep inte-gration of advanced data-driven techniques which can ensure efficient energy generation,transmission,and *** conducting thorough research for more than a decade,the concept of the smart grid(SG)has emerged,and its practice around the world paves the ways for efficient use of reliable energy ***,many developing features evoke keen interest and their improvements can be regarded as the next-generation smart grid(NGSG).Also,to deal with the non-linearity and uncertainty,the emergence of data-driven NGSG technology can become a great initiative to reduce the diverse impact of *** paper exhibits the conceptual framework of NGSG by enabling some intelligent technical features to ensure its reliable operation,including intelligent control,agent-based energy conversion,edge computing for energy management,internet of things(IoT)enabled inverter,agent-oriented demand side management,***,a study on the development of data-driven NGSG is discussed to facilitate the use of emerging data-driven techniques(DDTs)for the sustainable operation of the *** prospects of DDTs in the NGSG and their adaptation challenges in real-time are also explored in this paper from various points of view including engineering,technology,et ***,the trends of DDTs towards securing sustainable and clean energy evolution from the NGSG technology in order to keep the environment safe is also studied,while some major future issues are *** paper can offer extended support for engineers and researchers in the context of data-driven technology and the SG.

关键词： Data-driven technology Smart grid Sustainable energy evolution Next-generation smart grid Intelligent

Towards next generation Internet of Energy system: Framework and trends

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Energy and AI 2023年第4期14卷 660-681页

作者： Muqit Farhan Tanzim N.Reza Faisal R.Badal Md.R.Islam S M Muyeen Z.Tasneem Md.Mehedi Hasan Md.F.Ali Md.H.Ahamed S.H.abhi Md.Manirul Islam Subrata K.Sarker Sajal K.Das Prangon Das Department of Mechatronics Engineering Rajshahi University of Engineering TechnologyRajshahi 6204Bangladesh Department of Electrical Engineering Qatar UniversityDohaQatar

The quickening propensity of growth within the areas of information and communications technology and en-ergy networks has triggered the emergence of a central idea termed as Internet of Energy(IoE).Such a concept relates the internet of things,which is the term used in describing the usage of sophisticated digital control devices with the capability of transmitting data via IT *** concept of an interconnected energy network is being formed in the upcoming days through upgrades in the field of intelligent energy systems to control real-time energy optimization and *** energy industry has had a sustained expansion,reaching the IoE milestone and continuing to this cutting-edge power system,which is the next generation of IoE.A directional pathway from the traditional power system to the IoE has been conducted in this research work by addressing the importance of integrating the smart transmission and communication infrastructure,smart metering,pricing and energy management scheme.A detailed investigation of the IoE with respect to technical angles,such as communication architecture,IoE on the supply&demand side,and IoE protocol based on fundamental elements and essential technologies has been carried out to indicate the blueprint and jurisdiction *** inte-gration,security and energy management challenges may deviate the performance of the IoE technology that has been focused with proper control issues and ***,a directional framework to establish the next-generation IoE system has been constructed with future scopes to insure higher resiliency,cyber-security and stability.

关键词： Internet of Energy IoT Microgrid Smart grid Virtual power plant Next generation power system

Towards electric digital twin grid: Technology and framework review

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Energy and AI 2023年第1期11卷 179-195页

作者： Md.Mhamud Hussen Sifat Safwat Mukarrama Choudhury Sajal K.Das Md.Hafiz Ahamed S.M.Muyeen Md.Mehedi Hasan Md.Firoj Ali Zinat Tasneem Md.Manirul Islam Md.Robiul Islam Md.Faisal R.Badal Sarafat H.abhi Subrata K.Sarker Prangon Das Department of Mechatronics Engineering Rajshahi University of Engineering&TechnologyRajshahi6204Bangladesh Department of Electrical Engineering Qatar UniversityDoha2713Qatar

The major hindrances in the energy system are ecological consciousness, lack of clean and sustainableenergy management, insufficient energy distribution–transmission–optimization, expensive power transfercosts, and increased customer knowledge of energy charges. Thus why, universal access to the grid with highcybersecurity, and reliability is needed to solve all these challenges. The digital twin concept turns a newdimension of technology into the world. Electric Digital Twin grid can perform online analysis of the grid inreal-time and integrates all the past and present data and express the current grid status to the producers andconsumers and also predicts the future grid status. Thus, the power grid transmission loss and location of theoverheated line and power connection missing can be detected in addition decision-making and self-healingcan possible. The future prediction saves the power grid from small to long accidents such as power outagesand even blackout problems. The whole consumers and nation feel relief from these types of accidents andsaves from large economic and business loss. The blockchain-enabled digital twin grid provides high securityfor the grid from cyberattacks. The paper conveys the framework of the electric digital twin grid and theconcept of the DT grid processing and the way of serving the producer, prosumers, consumers even the wholenation in infrastructure, education, research, economic, business, and political development.

关键词： Electric digital twin grid Online analysis of grid Cloud platform of grid Real-time grid analysis Self-healing Cybersecurity

全球半导体产业2008酝酿巨变中国将扮演重要角色

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IT时代周刊 2008年第1期18卷 10-10页

作者： abhi TalWalkar LSI公司

小小的半导体不仅蕴含着巨大商机，还将在各个领域政变并改善人们的生活。全球半导体行业在2008年继续发力“上扬”．引爆全球产业大商机.

关键词：半导体产业中国半导体行业商机