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| 1 | A review on synthesis of graphene,h-BN and MoS2 for energy storage applications:Recent progress and perspectives显示文摘The significance of graphene and its two-dimensional(2D)analogous inorganic layered materials especially as hexagonal boron nitride(h-BN)and molybdenum disulphide(MoS2)for“clean energy”applications became apparent over the last few years due to their extraordinary properties.In this review article we study the current progress and selected challenges in the syntheses of graphene,h-BN and MoS2 including energy storage applications as supercapacitors and batteries.Various substrates/catalysts(metals/insulator/semiconducting)have been used to obtain graphene,h-BN and MoS2 using different kinds of precursors.The most widespread methods for synthesis of graphene,h-BN and MoS2 layers are chemical vapor deposition(CVD),plasma-enhanced CVD,hydro/solvothermal methods,liquid phase exfoliation,physical methods etc.Current research has shown that graphene,h-BN and MoS2 layered materials modified with metal oxide can have an insightful influence on the performance of energy storage devices as supercapacitors and batteries.This review article also contains the discussion on the opportunities and perspectives of these materials(graphene,h-BN and MoS2)in the energy storage fields.We expect that this witen review article including recent research on energy storage will help in generating new insights for further development and practical applications of graphene,h-BN and MoS2 layers based materials. | Rajesh Kumar Sumanta Sahoo Ednan Joanni Rajesh Kumar Singh Ram Manohar Yadav Rajiv Kumar Verma Dinesh Pratap Singh Wai Kian Tan Angel Perez del Pino Stanislav A.Moshkalev Atsunori Matsuda | 2019 | Nano Research2019，12，11： | 12 |
| 2 | Autochthonous halotolerant plant growth-promoting rhizobacteria promote bacoside A yield of Bacopa monnieri(L.)Nash and phytoextraction of salt-affected soil显示文摘Phytoremediation is a promising approach for reclamation of salt-affected soil.Phytoextraction is the most commonly used process,which exploits plants to absorb,immobilize,and accumulate salt in their shoots.In this study,halotolerant plant growth-promoting rhizobacteria(PGPR)were isolated from the rhizosphere of wild grasses growing naturally in salt-affected areas of Lucknow,Uttar Pradesh(India)and were tested for their efficacies of salt-tolerance and plant growth-promoting(PGP)abilities.Based on 16S rRNA sequences,the most efficient halotolerant isolates possessing PGP traits were identified as Pseudomonas plecoglossicida(KM 233646),Acinetobacter calcoaceticus(KM 233647),Bacillus flexus(KM 233648),and Bacillus safensis(KM 233652).Application of these isolates as bio-inoculants significantly(P<0.05)increased the growth and bacoside A yield of a medicinal plant,Bacopa monnieri(L.)Nash,grown on natural salt-affected soil.The phytoremediation of salt-affected soil was evident by the substantial increase in shoot Na^+:K^+ratio of bio-inoculant-treated plants.When compared to un-inoculated control plants,the soil physico-chemical properties of bio-inoculant-treated plants were improved.The shoot and root biomass(fresh and dry weights),soil enzymes,and soil nutrient parameters showed significant positive correlations with the shoot Na+:K+ratio.Consequently,the halotolerant PGPR screened in this study could be useful for the reclamation of saline soils concomitant with improved plant growth and bacoside A yield. | Umesh PANKAJ Durgesh Narain SINGH Pooja MISHRA Pooja GAUR C.S.Vivek BABU Karuna SHANKER Rajesh Kumar VERMA | 2020 | Pedosphere2020，30，5： | 9 |
| 3 | A review on chemical coagulation/flocculation technologies for removal of colour from textile wastewaters显示文摘 | Akshaya Kumar Verma Rajesh Roshan Dash Puspendu Bhunia | 2011 | Journal of Environmental Management2011，，1： | 1 |
| 4 | Hydrocephalus in tuberculous meningitis: Incidence, its predictive factors and impact on the prognosis显示文摘 | Tushar Raut Ravindra Kumar Garg Amita Jain Rajesh Verma Maneesh Kumar Singh Hardeep Singh Malhotra Neera Kohli Anit Parihar | 2013 | Journal of Infection2013，，： | 1 |
| 5 | 印度Ispat CSP工厂生产优质热轧卷显示文摘 1998年,印度Ispat公司开始投产CSP生产线(图1).这个生产线原计划年产300万t热轧卷,年产210万t高炉提供铁水.Midren装置年产160万吨海绵铁.…… | Fritz-Peter Pleschiutschnigg Vilas Vishnu Jamnis Sukhdev Raj Talwar Atul Kumar Misra Ratna Prasad V. Atluri R. B. Singh Prem Shankar Rajendra K. Verma Rajesh K. Goyal Vidiya P. Mishra Bidyapati Deepu B. Peter Meierling Joseph Pleschiutschnig | 2004 | 钢铁2004，39，z1： | 0 |
| 6 | Efficient discrete firefly algorithm for Ctrie based caching of multiple sequence alignment on optimally scheduled parallel machines显示文摘This study introduces a two-level strategy for efficient execution of multiple sequence alignment (MSA) of complex heterogeneous sequences. The two levels of the proposed technique are comprised of: designing the discrete firefly algorithm (DFFA) for the formation and implementation of makespan minimisation on parallel machines, followed by performing Ctrie-based caching for pairwise alignment to reduce the load on the data servers for handling multiple queries. The proposed strategy addresses a multi-client problem that aims to acquire the full advantage of the computational power of parallel connected machines. Further, it is shown that the inclusion of Ctrie as caching mechanism successively improves the performance of the system with accretion in several sequences. Performance of proposed DFFA is also compared with discrete versions of four swarm intelligence based algorithms at the criteria of makespan minimisation and the rate of convergence on two kinds of complex and diverse datasets. The work is unique in this sense: it is the first swarm-intelligence-based implementation for the addressed problem;it is so far the first approach for Ctrie based caching of the MSA on the scheduled parallel machines;hybridisation of DFFA with Ctrie for caching the MSA results is also a novel implementation. | Soniya Lalwani Harish Sharma Abhay Verma Rajesh Kumar | 2019 | CAAI Transactions on Intelligence Technology2019，4，2： | 0 |
| 7 | A Novel Deep Learning Based Healthcare Model for COVID-19 Pandemic Stress Analysis显示文摘Coronavirus(COVID-19)has impacted nearly every person across the globe either in terms of losses of life or as of lockdown.The current coronavirus(COVID-19)pandemic is a rare/special situation where people can express their feelings on Internet-based social networks.Social media is emerging as the biggest platform in recent years where people spend most of their time expressing themselves and their emotions.This research is based on gathering data from Twitter and analyzing the behavior of the people during the COVID-19 lockdown.The research is based on the logic expressed by people in this perspective and emotions for the suffering of COVID-19 and lockdown.In this research,we have used a Long Short-Term Memory(LSTM)network model with Convolutional Neural Network using Keras python deep-learning library to determine whether social media platform users are depressed in terms of positive,negative,or neutral emotional out bust based on their Twitter posts.The results showed that the model has 88.14%accuracy(representation of the correct prediction over the test dataset)after 10 epochs which most tweets showed had neutral polarity.The evaluation shows interesting results in positive(1),negative(–1),and neutral(0)emotions through different visualization. | Ankur Dumka Parag Verma Rajesh Singh Anil Kumar Bisht Divya Anand Hani Moaiteq Aljahdali Irene Delgado Noya Silvia Aparicio Obregon | 2022 | Computers, Materials & Continua2022，，9： | 0 |
| 8 | Experimental investigation for machinability aspects of graphene oxide/carbon fiber reinforced polymer nanocomposites and predictive modeling using hybrid approach显示文摘This article explores the drilling behavior of polymer nanocomposites reinforced by Graphene oxide/Carbon fiber using a hybrid method of Grey theory and Principal component analysis(GR-PCA).An online digital dynamometer was employed for the evaluation of Thrust Force and Torque.The image processing technique computes the delamination.Response surface methodology(RSM)considers the parameters,namely,drilling speed(S),feed rate(F),Graphene Oxide wt.%(G)in designing the experimentation array.Principal component analysis(PCA)was used to tackle the response priority weight during the combination of multiple functions.Analysis of variance(ANOVA)scrutinized the influence of parameters and intended the regression models to predict the response.GR-PCA evaluated the optimal parametric setting and remarked that feed rate acts as the most predominant factor.The higher feed rate and wt.%of G is responsible for surface damages like fiber pull-out,fiber fracture and cracks.A significant improvement in drilling responses has been obtained and also validates through confirmatory test and microstructure investigations. | Jogendra Kumar Rajesh Kumar Verma | 2021 | Defence Technology(防务技术)2021，17，5： | 0 |
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