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The circuitry landscape of perovskite solar cells:An in-depth analysis

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Journal of Energy Chemistry 2024年第7期94卷 393-413页

作者： Siddhi Vinayak Pandey Daniel Prochowicz apurba Mahapatra Saravanan Pandiaraj Abdullah N.Alodhayb Seckin Akin Pankaj Yadav Department of Solar Energy School of Energy TechnologyPandit Deendayal Energy UniversityGandhinagar 382007GujaratIndia Department of Physical Chemistry Polish Academy of SciencesKasprzaka 44/5201-224 WarsawPoland Department of Self-Development Skills King Saud UniversityRiyadh 11451Saudi Arabia Department of Physics and Astronomy College of ScienceKing Saud UniversityP.O.Box 2455Riyadh 11451Saudi Arabia Department of Metallurgical and Materials Engineering Necmettin Erbakan University42060 KonyaTurkey Department of Physics School of Energy TechnologyPandit Deendayal Energy UniversityGandhinagar 382007GujaratIndia

The extensive research and development in perovskite solar cells (PSCs) have rekindled the hopes of converting solar energy into *** elusive understanding of underlying mechanisms is required for the development of efficient *** the years,Impedance Spectroscopy (IS) characterization,along with complementary techniques,has proven to be an effective way to understand and analyze the charge transport and recombination at interface and bulk of *** IS of PSCs have been analyzed,interpreted,and improvised continuously,revealing intricate details about the ***,there is a lack of centralized source of these details,which make it tougher to account for the generalized approach to understand the device *** present work is focused on compiling the research done on various PSC device architectures via IS to construct a comprehensive foundation of information on impedance plots,equivalent circuits,and associated processes.

关键词： Impedance Spectroscopy Perovskite solar cells Equivalent Circuits

Appraisal of pollution and health risks associated with coal mine contaminated soil using multimodal statistical and Fuzzy-TOPSIS approaches

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Frontiers of Environmental Science & Engineering 2024年第5期18卷 101-115页

作者： Sumit Kumar Sonali Banerjee Saibal Ghosh Santanu majumder Jajati Mandal Pankaj Kumar Roy Pradip Bhattacharyya Agricultural and Ecological Research Unit Indian Statistical InstituteGiridih815301India Department of Life and Environmental Sciences Bournemouth University(Talbot Campus)Fern BarrowPooleBH12 5BBUK School of Sciences Engineering & EnvironmentUniversity of SalfordSalfordM5 4QJUK School of Water Resource Engineering Jadavpur UniversityKolkata700032India School of Environmental Studies Jadavpur UniversityKolkata700032India

The present study assesses the concentration,probabilistic risk,source classification,and dietary risk arising from heavy metal(HMs)pollution in agricultural soils affected by coal mining in eastern part of *** of soil and rice plant indicated significantly elevated levels of HMs beyond the permissible limit in the contaminated zones(zone 1:PbSoil:108.24±72.97,CuSoil:57.26±23.91,CdSoil:8.44±2.76,CrSoil:180.05±46.90,NiSoil:70.79±25.06 mg/kg;PbGrain:0.96±0.8,CuGrain:8.6±5.1,CdGrain:0.65±0.42,CrGrain:4.78±1.89,NiGrain:11.74±4.38 mg/*** 2:PbSoil:139.56±69.46,CuSoil:69.89±19.86,CdSoil:8.95±2.57,CrSoil:245.46±70.66,NiSoil:95.46±22.89 mg/kg;PbGrain:1.27±0.84,CuGrain:7.9±4.57,CdGrain:0.76±0.43,CrGrain:8.6±1.58,NiGrain:11.50±2.46 mg/kg)compared to the uncontaminated zone(zone 3).Carcinogenic and non-carcinogenic health risks were computed based on the HMs concentration in the soil and rice grain,with Pb,Cr,and Ni identified as posing a high risk to human *** Carlo simulation,the solubility-free ion activity model(FIAM),and severity adjusted margin of exposure(SAMOE)were employed to predict health *** hazard quotient(HQ)values for Ni,Cr,Cd,and Pb were>1,indicating a significant non-carcinogenic ***(risk thermometer)results for contaminated zones ranged from low to moderate risk(CrSAMOE:0.05,and NiSAMOE:0.03).Fuzzy-TOPSIS and variable importance plots(from random forest)showed that Ni and Cr were mostly responsible for the toxicity in the rice plant,respectively.A self-organizing map for source classification revealed common origin for the studied HMs with zone 2 exhibiting the highest *** positive matrix factorization model for the source apportionment identified coal mining and transportation as the predominant sources of *** distribution analysis indicated higher contamination near mining sites as compared to distant sampling ***,this study will aid environmental scientists and policymakers controllin

关键词： Coal mine Free ion activity model Monto Carlo Simulation Pollution and Health risk Fuzzy-TOPSIS

Spatio-temporal variation and relationship between agricultural efficiency and irrigation intensity in a semi-arid region of India

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Regional Sustainability 2024年第2期5卷 123-139页

作者： Shibu DAS Kaushal Kumar SHARMA Suranjan majumder Debabrata DAS Indrajit Roy CHOWDHURY Centre for the Study of Regional Development School of Social SciencesJawaharlal Nehru UniversityNew Delhi110067India Department of Geography&Applied Geography University of North BengalDarjeeling734013India Geography Department of Krishnagar Government College Krishnagar741101India

A surging population in Karnataka State,a semi-arid region in India,poses a threat to both food security and livelihood sustainability,necessitating a concentrated effort to bolster agricultural efficiency and achieve United Naton’s Sustainable Development Goal 2(zero hunger).Therefore,in order to address the pressing issue of food scarcity in Karnataka,this study meticulously examined the spatio-temporal variation of agricultural efficiency and irrigation intensity in Karnataka,uncovering its significant dependence of agricultural efficiency on irrigation ***,this study used a one-way analysis of variance(ANOVA)to ascertain significant differences in the means of agricultural efficiency and irrigation intensity during 2004-2005 and *** study showed that the maximum improvement in agricultural efficiency index was recorded in Belgaum(40.24),Gulbarga(24.77),and Yadgir districts(22.92)between 2004-2005 and 2018-2019,which indicated the progressing trend and better scope for agriculture *** the contrary,some districts expressed threat(a decline of above 20.00 of agricultural efficiency index)and needed special care for the improvement of agricultural efficiency in four northern districts(Bagalkot,Bidar,Raichur,and Bijapur),three southern districts(Chitradurga,Chikballapur and Hassan),and two southern districts(Koppal and Gadag)in *** 2004-2005,irrigation intensity varied from 3.19%to 56.39%,with the lowest irrigation intensity in Kodagu District and the highest irrigation intensity in Shimoga *** 2018-2019,irrigation intensity changed from 0.77%to 72.77%,with the lowest irrigation intensity in Kodagu District and the highest in Dakshin Kannad ***,the research scrutinized the complex relationship between agricultural efficiency and irrigation intensity,with the correlation coefficient increased from 0.162 during 2004-2005 to 0.255 during *** implies that in both periods,a low positive

关键词： Agricultural efficiency Irrigation intensity One-way analysis of variance(ANOVA) Food security Karnataka

Performance validation of High Mountain Asia 8-meter Digital Elevation Model using ICESat-2 geolocated photons

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Journal of Mountain Science 2024年第8期21卷 2562-2578页

作者： Giribabu DANDABATHULA Subham ROY Omkar Shashikant GHATAGE Vaibhav Balaso KOLASE Shwetambari SATPUTE Koushik GHOSH Sahibnoor KAUR Satyanarayana PONDARI apurba Kumar BERA Sushil Kumar SRIVASTAV Regional Remote Sensing Centre-West National Remote Sensing CentreIndian Space Research OrganisationJodhpur 342005India Department of Geography School of Earth SciencesBharathidasan UniversityTiruchirappalli 620024India Centre for Climate Change and Water Research Suresh Gyan Vihar UniversityJaipur 302017India Department of Geography Panjab UniversityChandigarh 160014India National Remote Sensing Centre Indian Space Research OrganisationHyderabad 500037India Regional Centres National Remote Sensing CentreIndian Space Research OrganisationNew Delhi 110049India

High Mountain Asia(HMA),recognized as a third pole,needs regular and intense studies as it is susceptible to climate *** accurate and high-resolution Digital Elevation Model(DEM)for this region enables us to analyze it in a 3D environment and understand its intricate role as the Water Tower of *** science teams of NASA realized an 8-m DEM using satellite stereo imagery for HMA,termed HMA 8-m *** this research,we assessed the vertical accuracy of HMA 8-m DEM using reference elevations from ICESat-2 geolocated photons at three test sites of varied topography and land *** were made from statistical quantifiers and elevation *** the world’s highest mountain,Mount Everest,and its surroundings,Root Mean Squared Error(RMSE)and Mean Absolute Error(MAE)resulted in 1.94 m and 1.66 m,respectively;however,a uniform positive bias observed in the elevation profiles indicates the seasonal snow cover change will dent the accurate estimation of the elevation in this sort of test *** second test site containing gentle slopes with forest patches has exhibited the Digital Surface Model(DSM)features with RMSE and MAE of 0.58 m and 0.52 m,*** third test site,situated in the Zanda County of the Qinghai-Tibet,is a relatively flat terrain bed,mostly bare earth with sudden river cuts,and has minimal errors with RMSE and MAE of 0.32 m and 0.29 m,respectively,and with a negligible ***,in one more test site,the feasibility of detecting the glacial lakes was tested,which resulted in exhibiting a flat surface over the surface of the lakes,indicating the potential of HMA 8-m DEM for deriving the hydrological *** results accrued in this investigation confirm that the HMA 8-m DEM has the best vertical accuracy and should be of high use for analyzing natural hazards and monitoring glacier surfaces.

关键词： High Mountain Asia Digital Elevation Model ICESat-2 geolocated photons Accuracy assessment

Graphene-calcium carbonate coating to improve the degradation resistance and mechanical integrity of a biodegradable implant

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Journal of Magnesium and Alloys 2024年第1期12卷 394-404页

作者： Lokesh Choudhary Parama Chakraborty Banerjee R.K.Singh Raman Derrek E.Lobo Christopher D.Easton Mainak majumder Frank Witte Jörg F.Löffler Department of Mechanical and Aerospace Engineering Monash UniversityClayton CampusMelbourneVIC 3800Australia Department of Chemical and Biological Engineering Monash UniversityClayton CampusMelbourneVIC 3800Australia Nanoscale Science and Engineering Laboratory(NSEL) Bldg 37Monash UniversityClayton CampusMelbourneVIC 3800Australia CSIRO Materials Science and Engineering Bayview AvenueClaytonVIC 3168Australia Julius Wolff Institute and Berlin Brandenburg Center for Regenerative Therapies Charité–Universitätsmedizin BerlinAugustenburger Platz 113353 BerlinGermany Laboratory of Metal Physics and Technology Department of MaterialsETH Zurich8093 ZurichSwitzerland

Biodegradable implants are critical for regenerative orthopaedic procedures,but they may suffer from too fast corrosion in human-body *** necessitates the synthesis of a suitable coating that may improve the corrosion resistance of these implants without compromising their mechanical *** this study,an AZ91 magnesium alloy,as a representative for a biodegradable Mg implant material,was modified with a thin reduced graphene oxide(RGO)-calcium carbonate(CaCO_(3))composite *** analytical and in-vitro electrochemical characterization reveals that this coating significantly improves the corrosion resistance and mechanical integrity,and thus has the potential to greatly extend the related application field.

关键词： Graphene coating Biodegradable implant Hydroxyapatite Corrosion Magnesium alloy

Optimal and Effective Resource Management in Edge Computing

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Computer Systems Science & Engineering 2023年第2期44卷 1201-1217页

作者： Darpan majumder S.Mohan Kumar Department of Information Science and Engineering New Horizon College of Engineering Research CentreVisvesvaraya Technological University(VTU)BangaloreIndia Department of CSE Nagarjuna College of Engineering and TechnologyBangaloreIndia

Edge computing is a cloud computing extension where physical compu-ters are installed closer to the device to minimize *** task of edge data cen-ters is to include a growing abundance of applications with a small capability in comparison to conventional data *** this framework,Federated Learning was suggested to offer distributed data training strategies by the coordination of many mobile devices for the training of a popular Artiﬁcial Intelligence(AI)model without actually revealing the underlying data,which is signiﬁcantly enhanced in terms of *** learning(FL)is a recently developed decentralized profound learning methodology,where customers train their localized neural network models independently using private data,and then combine a global model on the core server *** models on the edge server use very little time since the edge server is highly *** the amount of time it takes to download data from smartphone users on the edge server has a signiﬁcant impact on the time it takes to complete a single cycle of FL operations.A machine learning strategic planning system that uses FL in conjunction to minimise model training time and total time utilisation,while recognising mobile appliance energy restrictions,is the focus of this *** further speed up integration and reduce the amount of data,it implements an optimization agent for the establishment of optimal aggregation policy and asylum architecture with several employees’shared *** main solutions and lessons learnt along with the prospects are *** show that our method is superior in terms of the effective and elastic use of resources.

关键词： Federated learning machine learning edge computing resource management

A deep-reinforcement learning approach for optimizing homogeneous droplet routing in digital microfluidic biochips

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Nanotechnology and Precision Engineering 2023年第2期6卷 1-12页

作者： Basudev Saha Bidyut Das Mukta majumder Department of Computer Science and Technology University of North BengalDarjeeling 734013India Department of Information Technology Haldia Institute of TechnologyHaldia 721657India

Over the past two decades,digital microfluidic biochips have been in much demand for safety-critical and biomedical applications and increasingly important in point-of-care analysis,drug discovery,and immunoassays,among other ***,for complex bioassays,finding routes for the transportation of droplets in an electrowetting-on-dielectric digital biochip while maintaining their discreteness is a challenging *** this study,we propose a deep reinforcement learning-based droplet routing technique for digital microfluidic *** technique is implemented on a distributed architecture to optimize the possible paths for predefined source–target pairs of *** actors of the technique calculate the possible routes of the source–target pairs and store the experience in a replay buffer,and the learner fetches the experiences and updates the routing *** proposed algorithm was applied to benchmark suitesⅠand Ⅲ as two different test benches,and it achieved significant improvements over state-of-the-art techniques.

关键词： Digital microfluidics Biochip Droplet routing Fluidic constraints Deep learning Reinforcement learning

A perspective on molecular and cellular biology-based developmental toxicology biomarkers

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BIOCELL 2023年第12期47卷 2579-2590页

作者： SUKHENDU DEY SANDIPAN PAL apurba RATAN GHOSH PALAS SAMANTA Department of Environmental Science The University of BurdwanBurdwanIndia Department of Environmental Science Aghorekamini Prakashchandra MahavidyalayaSubhas NagarIndia Department of Environmental Science Sukanta MahavidyalayaUniversity of North BengalDhupguriIndia

The process of development is intricate and couple-dependent ***,the study of molecular and cellular biology-based developmental toxicology biomarkers increasingly is becoming an important part of risk assessment and management of chemicals for detection of health outcomes and/or biological endpoint like cytotoxicity,cell death,***,the evolution of developmental toxicology field a number of tools/markers have been developed or addressed to deal with developmental outcomes,which can ultimately be used for the development of adverse outcome pathways(AOPs)of developmental *** a result,this paper provides an overview of the current state of developmental toxicology biomarkers and describes the strategies used in the selection and evaluation of such biomarkers in the context of developmental toxicity ***,we discuss about the biological markers that are directly linked to developmental toxicity with respect to future revolutionary ***,this chapter will address different associated outcomes of developmental exposure by intriguing advance *** discussion focuses on the challenges associated with the development of biomarkers for developmental toxicity and highlights some of the recent advances in this ***,the chapter concludes with a brief discussion of the future prospects for the use of molecular and cellular biology-based developmental toxicity *** the present state of the art will provide a succinct summary of recent developments of biomarkers of developmental toxicology.

关键词： Developmental toxicology Biomarkers Adverse outcome pathways

Aspect based sentiment analysis using multi-criteria decision-making and deep learning under COVID-19 pandemic in India

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CAAI Transactions on Intelligence Technology 2023年第1期8卷 219-234页

作者： Rakesh Dutta Nilanjana Das Mukta majumder Biswapati Jana Department of Computer Science and Application Hijli CollegeKharagpurIndia WBSEDCL Midnapore ZoneMidnaporeWest BengalIndia Department of Computer Science and Application University of North BengalSiliguriIndia Department of Computer Science Vidyasagar UniversityMidnaporeWest BengalIndia

The COVID-19 pandemic has a significant impact on the global economy and *** the pandemic continues to cause casualties in millions,many countries have gone under *** this period,people have to stay within walls and become more addicted towards social *** express their emotions and sympathy via these online ***,popular social media(Twitter and Facebook)have become rich sources of information for Opinion Mining and Sentiment Analysis on COVID-19-related *** have used Aspect Based Sentiment Analysis to anticipate the polarity of public opinion underlying different aspects from Twitter during lockdown and stepwise unlock *** goal of this study is to find the feelings of Indians about the lockdown initiative taken by the Government of India to stop the spread of ***-specific COVID-19 tweets have been annotated,for analysing the sentiment of common *** classify the Twitter data set a deep learning model has been proposed which has achieved accuracies of 82.35%for Lockdown and 83.33%for Unlock data *** suggested method outperforms many of the contemporary approaches(long shortterm memory,Bi-directional long short-term memory,Gated Recurrent Unit etc.).This study highlights the public sentiment on lockdown and stepwise unlocks,imposed by the Indian Government on various aspects during the Corona outburst.

关键词： aspect based sentiment analysis bi-directional gated recurrent unit COVID-19 deep learning k-means clustering multi-criteria decision-making natural language processing