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Characteristics of microbial community functional structure of a biological coking wastewater treatment system

Journal of Environmental Sciences 2018年第1期30卷 105-115页

作者： Dev Raj joshi Yu Zhang Hong Zhang Yingxin Gao Min Yang State Key Laboratory of Environmental Aquatic Chemistry Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China University of Chinese Academy of Sciences Beijin9 100049China

Nitrogenous heterocyclic compounds are key pollutants in coking wastewater; however, the functional potential of microbial communities for biodegradation of such contaminants during biological treatment is still elusive. Herein, a high throughput functional gene array（Geo Chip 5.0）in combination with Illumina Hi Seq2500 sequencing was used to compare and characterize the microbial community functional structure in a long run（500 days） bench scale bioreactor treating coking wastewater, with a control system treating synthetic wastewater. Despite the inhibitory toxic pollutants, Geo Chip 5.0 detected almost all key functional gene（average61,940 genes） categories in the coking wastewater sludge. With higher abundance, aromatic ring cleavage dioxygenase genes including multi ring1,2 diox; one ring2,3 diox; catechol represented significant functional potential for degradation of aromatic pollutants which was further confirmed by Illumina Hi Seq2500 analysis results. Response ratio analysis revealed that three nitrogenous compound degrading genes-nbz A（nitro-aromatics）, tdn B（aniline）, and scn ABC（thiocyanate） were unique for coking wastewater treatment, which might be strong cause to increase ammonia level during the aerobic process. Additionally, Hi Seq2500 elucidated carbozole and isoquinoline degradation genes in the system. These findings expanded our understanding on functional potential of microbial communities to remove organic nitrogenous pollutants;hence it will be useful in optimization strategies for biological treatment of coking wastewater.

关键词： Coking wastewater GeoChip Illumina HiSeq Functional genes Nitrogenous pollutants

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Response of drainage to tectonics and PS-InSAR derived deformation study in Bilaspur,northwestern Himalaya,India

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Geodesy and Geodynamics 2022年第3期13卷 205-218页

作者： Moulishree joshi Girish Ch Kothyari Kapil Malik Ajay Kumar Taloor Department of Geology Kumaun University NainitalIndia Institute of Seismological Research GandhinagarGujaratIndia IIT Indian School of Mines DhanbadIndia Department of Remote Sensing and GIS University of JammuJammuIndia

The study of drainage patterns in tectonically active regions is conducive to the prediction of regional *** subsurface changes can be detected by drainage conditions and manifested in the form of drainage *** Satluj valley of Bilaspur,which is traversed by numerous faults in northwest Himalayan region,was selected to analyze the effect of active tectonics on drainage *** the Persistent Scatterer Interferometric Synthetic Aperture Radar(PS-InSAR)technique,SENTINEL-1A data were used to estimate the active surface deformation between September 2015 and December *** results show that the region between Barasar Thrust(BrT)and Main Central Thrust(MCT)is undergoing deformation of±12 mm/*** Stream Power Incision Model(SPIM)was used to predict deformation *** validate the tectonic activity generated by the drainage network,seismic bvalues were calculated,indicating the accumulating *** study shows the importance of drainage anomalies in tectonically active *** used in close combination with other seismotectonic parameters,drainage anomalies can be effective in delineating tectonically active regions.

关键词： Geomorphology Deformation Satluj river Himachal Himalaya

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Tectonochemistry and p-t Conditions of Ramgarh and Almora Gneisses from Askot Klippe,Kumaun Lesser Himalaya

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Acta Geologica Sinica(English Edition) 2019年第2期93卷 322-343页

作者： Biraja P.DAS Mallickarjvm joshi Ashutosh KUM AR Centre of Advanced Study in Geology Institute of Science Banaras Hindu University

The chemical and petrological correlation of metamorphic nappes and klippes overlying the Proterozoic sedimentary units in the Kumaun Himalaya is still debated. The Ramgarh and Almora gneisses, not previously distinguished in the Askot Klippe, show distinct field, petrological and chemical signatures markedly similar to the tectonostratigraphic disposition of the Almora Nappe. A negative Eu anomaly in the Ramgarh granitic gneisses indicates lesser plagioclase fractionation while the Eu anomaly in the Almora pelitic gneisses is likely to have been controlled by feldspar crystallization in restites. During the anatexis at > 776°C temperature and >6.6 kbar pressure, the melt moved slightly away to its crystallization sites. The Rb/Sr ratio ?0.54 and Nb ?10 ppm is consistent with the granodioritic composition. The negative Sr anomaly in the underlying Ramgarh granitic gneisses indicates a distinct mantle derived source/plagioclase fractionation with a notable correspondence to other late orogenic granites, particularly the basement Ulleri gneisses from the Nepal Himalaya. Ramgarh gneisses plot in the late-and post-COLG field. The Askot ensemble is likely to be the tectonometamorphically reworked basement, viz. the Ramgarh Group along with its metapelitic cover o f the Almora Group, together comprising southward thrust remnants of the leading edge of the Indian Plate that collided with Tibet during the Tertiary Himalayan orogeny.

关键词： geochemistry thermobarometry Almora gneiss Ramgarh gneiss Almora Nappe Askot Klippe

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Mitigating and Monitoring Smart City Using Internet of Things

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Computers, Materials & Continua 2020年第11期65卷 1059-1079页

作者： Sudan Jha Lewis Nkenyereye Gyanendra Prasad joshi Eunmok Yang School of Computer Science and Engineering Lovely Professional UniversityPunjab144411India Department of Computer and Information Security Sejong UniversitySeoul05006Korea Department of Computer Science and Engineering Sejong UniversitySeoul05006Korea Department of Computer Engineering Kongju National UniversityGongju32588Korea

The present trends in smart world reflects the extensive use of limited resources through information and communication *** limited resources like space,mobility,energy,etc.,have been consumed rigorously towards creating optimized but smart ***,a new concept of IoT integrated smart city vision is yet to be proposed which includes a combination of systems like noise and air loss monitoring,web monitoring and fire detection systems,smart waste bin systems,etc.,that have not been clearly addressed in the previous *** paper focuses on developing an effective system for possible monitoring of losses,traffic management,thus innovating smart city at large with digitalized and integrated systems and software for fast and effective *** our proposed system,a real time data analysis is *** data are collected by various sensors to analyze different factors that are responsible for such *** proposed work is validated on a real case study.

关键词： Internet of Things smart city environmental impairments pollution temperature

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Automated Brain Tumor Diagnosis Using Deep Residual U-Net Segmentation Model

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Computers, Materials & Continua 2023年第1期74卷 2179-2194页

作者： R.Poonguzhali Sultan Ahmad P.Thiruvannamalai Sivasankar S.Anantha Babu Pranav joshi Gyanendra Prasad joshi Sung Won Kim Department of Computer Science and Engineering Periyar Maniammai Institute of Science and TechnologyThanjavur613403India Department of Computer Science College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlkharjSaudi Arabia Department of Computer Science and Engineering Jain Deemed to-be UniversityBangalore560069India Department of Neurology Annapurna Neuro HospitalKathmandu44600Nepal Department of Computer Science and Engineering Sejong UniversitySeoul05006Korea Department of Information and Communication Engineering Yeungnam UniversityGyeongsan-siGyeongbuk-do38541Korea

Automated segmentation and classification of biomedical images act as a vital part of the diagnosis of brain tumors(BT).A primary tumor brain analysis suggests a quicker response from treatment that utilizes for improving patient survival *** location and classification of BTs from huge medicinal images database,obtained from routine medical tasks with manual processes are a higher cost together in effort and *** automatic recognition,place,and classifier process was desired and *** study introduces anAutomatedDeepResidualU-Net Segmentation with Classification model(ADRU-SCM)for Brain Tumor *** presentedADRUSCM model majorly focuses on the segmentation and classification of *** accomplish this,the presented ADRU-SCM model involves wiener filtering(WF)based preprocessing to eradicate the noise that exists in *** addition,the ADRU-SCM model follows deep residual U-Net segmentation model to determine the affected brain ***,VGG-19 model is exploited as a feature ***,tunicate swarm optimization(TSO)with gated recurrent unit(GRU)model is applied as a classification model and the TSO algorithm effectually tunes *** performance validation of the ADRU-SCM model was tested utilizing FigShare dataset and the outcomes pointed out the better performance of the ADRU-SCM approach on recent approaches.

关键词： Brain tumor diagnosis image classification biomedical images image segmentation deep learning

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Quantitative prediction of residual wetting film generated in mobilizing a two-phase liquid in a capillary model

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Petroleum 2015年第4期1卷 342-348页

作者： Harsh joshi Liming Dai Industrial Systems Engineering University of ReginaReginaSK S4S 0A2Canada

This research studies the motion of immiscible two-phase liquid flow in a capillary tube through a numerical approach employing the volume of fluid method,for simulating the core-annular flow and water flooding in oil reservoirs of porous *** specifically,the simulations are a representation of water flooding at a pore scale.A capillary tube model is established with ANSYS Fluent and *** numerical results matches well with the existing data available in the *** of a less viscous liquid in a liquid of higher viscosity and the development of a residual wetting film of the higher viscosity liquid are thoroughly *** effects of Capillary number,Reynolds Number and Viscosity ratio on the residual wetting film are studied in detail,as the thickness is directly related to the residual oil left in the porous media after water *** should be noticed that the liquids considered in this research can be any liquids of different viscosity not necessarily oil and *** results of this study can be used as guidance in the field of water flooding.

关键词： Capillary model Residual wetting film Higher viscosity liquid Water flooding Numerical simulation Immiscible flow Oil slug mobilization

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Immunogenicity and protective efficacy of DNA vaccine against visceral leishmaniasis in BALB/c mice

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The Journal of Biomedical Research 2016年第4期30卷 304-313页

作者： Sukhbir Kaur Tejinder Kaur Jyoti joshi Parasitology Laboratory Department of Zoology Panjab University Chandigarh 160014 India

The current study was designed to examine the protective efficacy of DNA vaccines based on gp63 and Hsp70 against murine visceral leishmaniasis. Inbred BALB/c mice were immunized subcutaneously twice at an interval of three weeks with pcDNA3.1 （＋） encoding T cell epitopes of gp63 and Hsp70 individually and in combination. Animals were challenged intracardially with 107 promastigotes ofLeishmania donovani 10 days post immunization and sacrificed 1,2 and 3 months post challenge. The immunized animals revealed a significant reduction （P 〈 0.05） in splenic and hepatic parasite burden as compared to the infected controls. Maximum reduction in parasite load （P 〈 0.05） was observed in animals treated with a combination ofpcDNA/gp63 and pcDNA/Hsp70. These animals also showed heightened DTH response, increased IgG2a, elevated Thl cytokines （IFN-γ and IL-2） and reduced IgG 1 and IL-10 levels. Thus, mice immunized with the cocktail vaccine exhibited significantly greater protection in comparison to those immunized with individual antigens.

关键词： visceral leishmaniasis DNA vaccine T-cell epitopes gp63 Hsp70

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Snow Cover Variation and Streamflow Simulation in a Snow-fed River Basin of the Northwest Himalaya

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Journal of Mountain Science 2012年第6期9卷 853-868页

作者： Vaibhav SHARMA V.D.MISHRA P.K.joshi Snow and Avalanche Study Establishment Him ParisarSector 37AChandigarh 160036India TERI University New Delhi-110070India

Snowmelt is an important component of any snow-fed river *** Jhelum River is one such transnational mountain river flowing through India and *** basin is minimally glacierized and its discharge is largely governed by seasonal snow cover and ***,accurate estimation of seasonal snow cover dynamics and snowmeltinduced runoff is important for sustainable water resource management in the *** present study looks into spatio-temporal variations of snow cover for past decade and stream flow simulation in the Jhelum River *** cover extent(SCE) was estimated using MODIS(Moderate Resolution Imaging Spectrometer) sensor *** Difference Snow Index(NDSI) algorithm was used to generate multi-temporal time series snow cover *** results indicate large variation in snow cover distribution pattern and decreasing trend in different sub-basins of the Jhelum *** relationship between SCE-temperature,SCE-discharge and discharge-precipitation was analyzed for different seasons and shows strong *** streamflow simulation of the entire Jhelum basin Snow melt Runoff Model(SRM) used.A good correlation was observed between simulated stream flow and in-situ *** monthly discharge contribution from different sub-basins to the total discharge of the Jhelum River was estimated using a modified version of runoff model based on temperature-index approach developed for small *** power - an indicator of the erosive capability of streams was also calculated for different sub-basins.

关键词： Snow cover extent(SCE) Streamflow Snow Melt Runoff Model(SRM) Normalized Difference Snow Index(NDSI) Jhelum basin Moderate Resolution Imaging Spectrometer(MODIS)

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Overview of an early warning system for Glacial Lake outburst flood risk mitigation in Dudh-Koshi Basin, Nepal

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Research in Cold and Arid Regions 2021年第3期13卷 206-219页

作者： Sanjaya Gurung Saroj Dhoj joshi Binod Parajuli Real Time Solutions Pvt.Ltd. Lalitpur 44700Nepal Department of Hydrology and Meteorology Kathmandu 44600Nepal

Natural disasters inflict severe damage on almost the entire spectrum of social and natural habitats. This ranges from housing and shelter, water, food, health, sanitation to information and communication networks, supply of power and energy,transportation infrastructure, and others. Nepal is a risk prone country for Glacial Lake Outburst Flood(GLOF). GLOFs exist as major challenges as they repeatedly cause a heavy toll of life and property. During such a disaster, major challenges are indeed the protection of life, property and vital life-supporting infrastructure. Any delay or laxity in disaster relief can escalate the magnitude of distress for the victims. Thus, rather than trying to take curative measures, it is better to minimize the impacts of GLOF. These measures subsequently help in reducing the magnitude of death and casualties due to a GLOF event. This reduction of impact is often achieved by optimizing preventive measures. For applying necessary deterrent measures, it is essential to disseminate information about the danger beforehand. Early Warning System(EWS) is an important step for such information dissemination for GLOF disaster management and helps to anticipate the risk of disaster and disseminate information to lives at risk. It is impossible and impractical to reduce all GLOF risks, but it is possible to reduce several impacts of a GLOF through the implementation of the EWS. This paper presents the design and implementation of an EWS for monitoring potential outbursts of a glacier lake in the Dudh-Koshi Basin, Nepal.

关键词： glacier climate change early warning system glacial lake outburst flood

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Multi-temporal forest cover dynamics in Kashmir Himalayan region for assessing deforestation and forest degradation in the context of REDD+ policy

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Journal of Mountain Science 2016年第8期13卷 1431-1441页

作者： Akhlaq Amin WANI Pawan Kumar joshi Ombir SINGH Sumera SHAFI Faculty of Forestry Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir School of Environmental Sciences Jawaharlal Nehru University Silviculture Division Forest Research Institute (FRI) KVK Pulwama Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir

The role of forests is being actively considered under the agenda of REDD＋（Reducing Emissions from Deforestation and Forest Degradation plus） aimed at reducing emissions related to changes in forest cover and forest quality. Forests in general have undergone negative changes in the past in the form of deforestation and degradation, while in some countries positive changes are reported in the form of conservation, sustainable management of forests and enhancement of carbon stock. The present study in the Kashmir Himalayan forests is an effort to assess historical forest cover changes that took place from 1980 to 2009 and to predict the same for 2030 on the basis of past trend using geospatial modeling approach. Landsat data （Multispectral Scanner （MSS）, Thematic Mapper （TM） and Enhanced Thematic Mapper （ETM＋）） was used for the years 1980, 199o and （2001, 2009） respectively and change detection analysis between the dates was performed. The maps generated were validated through ground truthing. The study area （3375.62 km^2） from 1980-2009 has uffered deforestation and forest degradation of about 126 km^2 and 239.02 km^2 respectively which can be claimed under negative options of REDD＋, while as the area that experienced no change （1514 km^2） can be claimed under conservation. A small area （23.31 km^2） observed as positive change can be claimed under positive options. The projected estimates of forest cover for 2030 showed increased deforestation and forest degradation on the basis of trend analysis using Cellular Automata （CA） Markov modeling. Despite the fact that country as a whole has registered a net positive change in the past few decades, but there are regions like Kashmir region of western Himalaya which have constantly undergoing deforestation as well as degradation in the past few decades.

关键词： Deforestation Degradation Coniferous forests Carbon emission Himalaya

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