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Enhanced photocatalytic activities of silicon nanowires/graphene oxide nanocomposite:Effect of etching parameters

Journal of Environmental Sciences 2021年第3期33卷 123-134页

作者： Mounir Gaidi Kais Daoudi soumya columbus Anouar Hajjaji My Ali El Khakani Brahim Bessais Department of Applied Physics and Astronomy University of SharjahSharjah 27272United Arab Emirates Sharjah Centre for Advanced Materials Research Research Institute of Sciences and EngineeringUniversity of SharjahSharjah 27272United Arab Emirates Sharjah Sharjah Research Academy University CitySharjah 60999United Arab Emirates Sharjah Laboratoire de Photovoltaïque Centre de Recherches et des Technologies de l’EnergieTechnopole de Borj-CédriaHammam-Lif 2050Tunisia Institut National de la Recherche Scientifique(INRS) INRS-ÉnergieMatériaux et Télécommunications1650Blvd.Lionel-BouletVarennesQC J3X-1S2Canada

Homogeneous and vertically aligned silicon nanowires(SiNWs)were successfully fabricated using silver assisted chemical etching *** prepared samples were characterized using scanning electron microscopy,transmission electron microscopy and atomic force *** degradation properties of graphene oxide(GO)modified SiNWs have been *** found that the SiNWs morphology depends on etching time and etchant *** SiNWs length could be tuned from 1 to 42μm,respectively when varying the etching time from 5 to 30 *** etchant concentration was found to accelerate the etching process;doubling the concentrations increases the length of the SiNWs by a factor of two for fixed etching *** in bundle morphology were also studied as function of etching *** SiNWs diameter was found to be independent of etching time or etchant composition while the size of the SiNWs bundle increases with increasing etching time and etchant *** addition of GO was found to improve significantly the photocatalytic activity of SiNWs.A strong correlation between etching parameters and photocatalysis efficiency has been observed,mainly for SiNWs prepared at optimum etching time and etchant concentrations of 10 min and 4:1:8.A degradation of92%was obtained which further improved to 96%by addition of hydrogen *** degradation efficiency of 16%and 31%has been observed for bare Si and GO/bare Si samples *** obtained results demonstrate that the developed SiNWs/GO composite exhibits excellent photocatalytic performance and could be used as potential platform for the degradation of organic pollutants.

关键词： Photocatalysis Nanomaterials Methylene Blue Silicon nanowire Graphene oxide Water treatment

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Cosmic implications of the 12C(n, γ)13C reaction: a nuclear astrophysical perspective

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Chinese Physics C 2024年第2期48卷 171-174页

作者： soumya Saha Department of Physics Bidhan Chandra CollegeRishra31G.T.Road(East)Hooghly-712248India Department of Physics University of Calcutta92Acharya Prafulla Chandra RoadKolkata-700009India

We conducted a comprehensive study of the neutron capture cross section of 12C within the relevant astrophysical energy *** rigorous R-matrix analysis,we determined the Maxwellian-averaged cross section to be 11.98±0.25μb at kT=30 *** result is approximately four times higher than the thermal neutron capture cross section estimated in earlier studies assuming the 1/v *** implications of our findings extend to the region of inhomogeneous Big-Bang models in nuclear astrophysics,where understanding the behaviour of neutron capture cross sections plays a crucial role in elucidating the intricate processes that shaped the early universe.

关键词： reaction cross section R-matrix reaction rates spectroscopic factors

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Graph Convolutional Network Based Fault Detection and Identification for Low-voltage DC Microgrid

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Journal of Modern Power Systems and Clean Energy 2023年第3期11卷 917-926页

作者： Ambuj Pandey soumya R.Mohanty Department of Electrical Engineering Indian Institute of Technology(BHU)VaranasiUttar PradeshIndia IEEE

This paper presents a novel fault detection and identification method for low-voltage direct current(DC)microgrid with meshed *** proposed method is based on graph convolutional network(GCN),which utilizes the explicit spatial information and measurement data of the network topology to identify a *** has a more substantial feature extraction ability even in the presence of noise and bad *** adjacency matrix for GCN is developed by considering the network topology as an inherent *** bus voltage and line current samples after faults are regarded as the node ***,the DC microgrid model is developed using PSCAD/EMTDC simulation,and fault simulation is carried out by considering different possible events that include environmental and physical *** performance of the proposed method under different conditions is compared with those of different machine learning techniques such as convolutional neural network(CNN),support vector machine(SVM),and fully connected network(FCN).The results reveal that the proposed method is more effective than others at detecting and classifying *** method also possesses better robustness under the presence of noise and bad data.

关键词： DC microgrid graph convolution network fault detection topological information

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Data-Driven Approaches for Spatio-Temporal Analysis:A Survey of the State-of-the-Arts

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Journal of Computer Science & Technology 2020年第3期35卷 665-696页

作者： Monidipa Das soumya K.Ghosh School of Computer Science and Engineering Nanyang Technological UniversitySingapore 639798Singapore Department of Computer Science and Engineering Indian Institute of Technology KharagpurKharagpur 721302India

With the advancement of telecommunications,sensor networks,crowd sourcing,and remote sensing technology in present days,there has been a tremendous growth in the volume of data having both spatial and temporal *** huge volume of available spatio-temporal(ST)data along with the recent development of machine learning and computational intelligence techniques has incited the current research concerns in developing various data-driven models for extracting useful and interesting patterns,relationships,and knowledge embedded in such large ST *** this survey,we provide a structured and systematic overview of the research on data-driven approaches for spatio-temporal data *** focus is on outlining various state-of-the-art spatio-temporal data mining techniques,and their applications in various *** start with a brief overview of spatio-temporal data and various challenges in analyzing such data,and conclude by listing the current trends and future scopes of research in this multi-disciplinary *** with other relevant surveys,this paper provides a comprehensive coverage of the techniques from both computational/methodological and application *** anticipate that the present survey will help in better understanding various directions in which research has been conducted to explore data-driven modeling for analyzing spatio-temporal data.

关键词： data-driven modeling spatio-temporal data prediction change pattern detection outlier detection hotspot detection partitioning/summarization (tele-)coupling visual analytics

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Design of a Robust Optimal Decentralized PI Controller Based on Nonlinear Constraint Optimization For Level Regulation: An Experimental Study

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IEEE/CAA Journal of Automatica Sinica 2020年第1期7卷 187-199页

作者： soumya Ranjan Mahapatro Bidyadhar Subudhi Sandip Ghosh Department of Electrical Engineering National Institute of Technology RourkelaRourkela 769008India School of Electrical Sciences Indian Institute of TechnologyFarmagudiGoa 403401India Department of Electrical Engineering Indian Institute of TechnologyVaranasi 221005India

This paper presents the development of a new robust optimal decentralized PI controller based on nonlinear optimization for liquid level control in a coupled tank system. The proposed controller maximizes the closed-loop bandwidth for specified gain and phase margins, with constraints on the overshoot ratio to achieve both closed-loop performance and robustness. In the proposed work, a frequency response fitting model reduction technique is initially employed to obtain a first order plus dead time(FOPDT) model of each higher order subsystem. Furthermore, based on the reduced order model, a proposed controller is designed. The stability and performance of the proposed controller are verified by considering multiplicative input and output uncertainties. The performance of the proposed optimal robust decentralized control scheme has been compared with that of a decentralized PI controller. The proposed controller is implemented in real-time on a coupled tank system. From the obtained results,it is shown that the proposed optimal decentralized PI controller exhibits superior control performance to maintain the desired level, for both the nominal as well as the perturbed case as compared to a decentralized PI controller.

关键词： Decentralized control multivariable system process control parameter uncertainty robustness

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Improved energy recovery from dark fermented cane molasses using microbial fuel cells

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Frontiers of Chemical Science and Engineering 2014年第1期8卷 43-54页

作者： soumya Pandit Balachandar G Debabrata Das Department of Biotechnology Indian Institute of Technology Kharagpur West Bengal India

A major limitation associated with fermenta- tive hydrogen production is the low substrate conversion efficiency. This limitation can be overcome by integrating the process with a microbial fuel cell （MFC） which converts the residual energy of the substrate to electricity. Studies were carried out to check the feasibility of this integration. Biohydrogen was produced from the fermen- tation of cane molasses in both batch and continuous modes. A maximum yield of about 8.23 mol Hz/kg CODremoved was observed in the batch process compared to 11.6 mol Hz/kg CODremoved in the continuous process. The spent fermentation media was then used as a substrate in an MFC for electricity generation. The MFC parameters such as the initial anolyte pH, the substrate concentration and the effect ofpre-treatment were studied and optimized to maximize coulombic efficiency. Reductions in COD and total carbohydrates were about 85% and 88% respectively. A power output of 3.02 W/m3 was obtained with an anolyte pH of 7.5 using alkali pre-treated spent media. The results show that integrating a MFC with dark fermentation is a promising way to utilize the substrate energy.

关键词： dark fermentation biohydrogen microbialfuel cell volatile fatty acid anolyte

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Conventional treatments and non-PEGylated liposome encapsulated doxorubicin for visceral leishmaniasis:A scoping review

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Asian Pacific Journal of Tropical Medicine 2022年第7期15卷 293-307页

作者： soumya Ranjan Satapathy Rudra Narayan Sahoo School of Pharmaceutical Sciences Siksha‘O’Anusandhan(Deemed to be University)BhubaneswarIndia School of Pharmacy and Life Sciences Centurion University of Technology and ManagementOdishaIndia

Visceral leishmaniasis(VL),also known as Kala-azar,is caused by Leishmania(L.)donovani complex,which includes *** and *** and is associated with a high death rate as compared to the cutaneous and subcutaneous *** of VL includes chemotherapeutic agents which are associated with some major hurdles like toxicities,parenteral administration,high cost,parasite resistance and ***,there is an urgent requirement to develop novel chemotherapeutic agents or repurposing of existing drugs against *** formulation of new chemical entity for the treatment of VL is laborious,time consuming and associated with huge financial ***,screening of existing chemotherapeutic agents is a good alternative to avail cost-effective treatment option for ***-PEGylated liposome encapsulated doxorubicin(Myocet®)is proposed as an alternative treatment option for VL in this review ***,we covered the fundamental aspects of VL,loophole associated with available current treatment strategies and non-PEGylated liposome encapsulated doxorubicin as a novel alternative formulation for treating VL,as this liposomal delivery system of doxorubicin might passively target the intra-cellular regions of macrophage.

关键词： Visceral leishmaniasis Doxorubicin Passive targeting Repositioning Non-PEGylated liposome encapsulated doxorubicin Resistance

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A Novel Multi-agent Formation Control Law With Collision Avoidance

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IEEE/CAA Journal of Automatica Sinica 2017年第3期4卷 558-568页

作者： Arindam Mondal Laxmidhar Behera soumya Ranjan Sahoo Anupam Shukla Department of Electrical Engineering Indian Institute of Technology IEEE ABV-Indian Institute of Information Technology & Management

In this paper a stable formation control law that simultaneously ensures collision avoidance has been *** is assumed that the communication graph is undirected and *** proposed formation control law is a combination of the consensus term and the collision avoidance term(CAT).The first order consensus term is derived for the proposed model,while ensuring the Lyapunov *** consensus term creates and maintains the desired formation shape,while the CAT avoids the *** the collision avoidance,the potential function based CAT makes the agents repel from each *** unrestricted repelling magnitude cannot ensure the graph connectivity at the time of collision *** we have proposed a formation control law,which ensures this connectivity even during the collision *** is achieved by the proposed novel adaptive potential *** potential function adapts itself,with the online tuning of the critical variable associated with *** tuning has been done based on the lower bound of the critical variable,which is derived from the proposed connectivity *** efficacy of the proposed scheme has been validated using simulations done based on formations of six and thirty-two agents respectively.

关键词： Consensus collision avoidance formation control graph theory stability

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Liver injury induced by COVID 19 treatment–what do we know?

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World Journal of Gastroenterology 2022年第45期28卷 6314-6327页

作者： Lekha Saha soumya Vij Kajal Rawat Department of Pharmacology Post Graduate Institute of Medical Education and ResearchChandigarh 160012India

The severity of coronavirus disease 2019(COVID-19)may be correlated with the risk of liver injury *** increasing number of studies indicate that degrees of hepatotoxicity have been associated with using some medications in the management of COVID-19 ***,limited studies have systematically investigated the evidence of drug-induced liver injury(DILI)in COVID-19 *** increasing number of studies indicate that degrees of hepatotoxicity have been associated with using some of these medications in the management of COVID-19 ***,it was relieved after the cessation of these ***,to our knowledge,no studies have systematically investigated the evidence of DILI in COVID-19 *** this review,we discussed the association between hepatotoxicity in COVID-19 patients and the drugs used in these patients and possible mechanisms of *** currently available evidence on the association of different therapeutic agents with hepatotoxicity in COVID-19 patient was systematically reviewed.

关键词： Liver injury COVID-19 Anti-COVID drugs Mechanisms Clinical evidences

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Improving time series forecasting using elephant herd optimization with feature selection methods

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Journal of Management Analytics 2021年第1期8卷 113-133页

作者： soumya Das Sarojananda Mishra ManasRanjan Senapati Department of Computer Science and Engineering Biju Patnaik University of TechnologyRourkelaIndia Department of Computer Science and Engineering Indira Gandhi Institute of TechnologySarangIndia Department of Information Technology Veer Surendra Sai University of TechnologyBurlaIndia

The time series data is chaotic,non seasonal,non stationary and random in *** becomes quite challenging to discover the hidden patterns of time series *** this paper the time series data is predicted with the help of a machine learning algorithm *** Herd Optimization(EHO).Three different types of time series data are used to testify the superiority of the proposed method namely stock market data,currency exchange data and absenteeism at *** data are first subjected to feature selection methods namely ANOVA and Friedman *** feature selection methods provide relevant set of features which is fed to the neural network trained with the *** proposed method is also compared with other methods such as local linear radial basis functional neural network and particle swarm *** results prove supremacy of EHO over other methods.

关键词： particle Swarm Optimization(PSO) Local Linear Radial Basis Functional Neural Network(LLRBFNN) Elephant Herding Optimization(EHO) ANOVA Friedman test

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