检索结果-南通市图书馆

Chronic hepatitis E–an emerging disease in an immunocompromised host

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Gastroenterology Report 2018年第2期6卷 152-155,I0003页

作者： Amitabh Singh Rachna Seth anand gupta Shalimar Baibaswata Nayak Subrat kumar Acharya Prasenjit Das Department of Paediatrics All India Institute of Medical SciencesNew DelhiIndia Department of Gastroenterology All India Institute of Medical SciencesNew DelhiIndia Department of Pathology All India Institute of Medical SciencesNew DelhiIndia

Chronic hepatitis E virus(HEV)infection is increasingly being reported in immunosuppressed individuals with HIV,patients with haematological malignancy and transplant *** diagnosis of cirrhosis and liver failure post chronic HEV is controversial due to lack of standard diagnostic *** treatment benefits of ribavirin in chronic HEV of genotype 1 are not well *** report a case of chronic HEV infection of genotype 1 leading to chronic liver disease in a child cured of acute *** report also highlights the successful use of ribavirin for eradicating chronic HEV infection and its subsequent survival *** hepatitis E may be an emerging disease of immunosuppressed patients and should be suspected in the presence of cryptogenic *** is an effective therapy for controlling HEV.

关键词： chronic hepatitis E immunosuppression chronic liver disease ribavirin

Digital-Twin Enabled Time Ahead Resource Allocation for Integrated Fiber-Wireless Connected Vehicular Network

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Communications and Information Networks 2024年第3期9卷 296-308页

作者： Akshita gupta Saurabh Jaiswal Martin Maier Vivek Ashok Bohara anand Srivastava Wirocomm Research Group Department of Electronics&Communication EngineeringIndraprastha Institute of Information Technology Delhi(IIITD)New Delhi 110020India Department of Computer Science&Applied Mathematics Indraprastha Institute of Information Technology Delhi(IIITD)New Delhi 110020India Optical Zeitgeist Laboratory Institute National de la Recherche ScientifiqueMontreal H5A 1K6Canada

The digital twin(DT)is envisaged as a catalyst for pioneering ecosystems of service provision within an immersive environment born from the convergence of virtual and physical ***,DT could enhance the performance of edge-intelligent connected vehicular networks by allocating network resources efficiently based on the key performance indicators(KPIs)of vehicular data ***,this work addresses the key challenge of computation and spectrum resource allocation for vehicular *** allocate the optimal resource allocation,we subdivided the problem into:traffic classification,collective learning,and resource allocation *** order to do so,this paper concentrates on two crucial vehicular applications:brake application and lane-change *** utilize a random forest model to collectively learn vehicular data traffic in the upcoming time ***,a time-ahead resource allocation algorithm is proposed to improve the quality of service(QoS)by intelligently offloading vehicular data traffic to a DT-based integrated fiber-wireless(Fi-Wi)connected vehicular *** evaluate the performance of the resource allocation strategy in terms of resources required by the network alongside the packet loss *** was observed that there was a 44.74%increase in cost as the total computation resources increased from F=50 to 100 GHz,whereas the PLR of the network decreased by 71.43%.

关键词： connected vehicles digital twin edgeintelligence fiber-wireless machine learning resource allocation

On dry machining of AZ31B magnesium alloy using textured cutting tool inserts

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Magnesium and Alloys 2024年第4期12卷 1608-1618页

作者： Shailendra Pawanr Kapil gupta Department of Mechanical and Industrial Engineering Technology University of JohannesburgDoornfontein CampusJohannesburg 2028 South Africa

Magnesium alloys have many advantages as lightweight materials for engineering applications,especially in the fields of automotive and *** undergo extensive cutting or machining while making products out of *** cutting,a sustainable machining method,causes more friction and adhesion at the tool-chip *** of the promising solutions to this problem is cutting tool surface texturing,which can reduce tool wear and friction in dry cutting and improve machining *** paper aims to investigate the impact of dimple textures(made on the flank face of cutting inserts)on tool wear and chip morphology in the dry machining of AZ31B magnesium *** results show that the cutting speed was the most significant factor affecting tool flank wear,followed by feed rate and cutting *** tool wear mechanism was examined using scanning electron microscope(SEM)images and energy dispersive X-ray spectroscopy(EDS)analysis reports,which showed that at low cutting speed,the main wear mechanism was abrasion,while at high speed,it was *** chips are discontinuous at low cutting speeds,while continuous at high cutting *** dimple textured flank face cutting tools facilitate the dry machining of AZ31B magnesium alloy and contribute to ecological benefits.

关键词： Magnesium alloy Dry machining Textured tools Flank wear Sustainability

Direct scaling of residual displacements for bilinear and pinching oscillators

在线全文

学校读者我要写书评

暂无评论

Earthquake Engineering and Engineering Vibration 2024年第1期23卷 129-149页

作者： Mohammad Saifullah Vinay K.gupta Department of Civil Engineering Indian Institute of Technology KanpurKanpur 208016India

The estimation of residual displacements in a structure due to an anticipated earthquake event has increasingly become an important component of performance-based earthquake engineering because controlling these displacements plays an important role in ensuring cost-feasible or cost-effective repairs in a damaged structure after the *** attempt is made in this study to obtain statistical estimates of constant-ductility residual displacement spectra for bilinear and pinching oscillators with 5%initial damping,directly in terms of easily available seismological,site,and model *** of the available models for the bilinear and pinching oscillators are useful when design spectra for a seismic hazard at a site are not *** statistical estimates of a residual displacement spectrum are proposed in terms of earthquake magnitude,epicentral distance,site geology parameter,and three model parameters for a given set of ductility demand and a hysteretic energy capacity coefficient in the case of bilinear and pinching models,as well as for a given set of pinching parameters for displacement and strength at the breakpoint in the case of pinching model *** proposed scaling model is applicable to horizontal ground motions in the western *** earthquake magnitudes less than 7 or epicentral distances greater than 20 km.

关键词： residual displacement spectrum bilinear hysteresis model pinching hysteresis model nonlinear analysis scaling model

Optimizing calcination of coal by-products for maximizing REE leaching recovery and minimizing Al,Ca,and Fe contamination

在线全文

学校读者我要写书评

暂无评论

Journal of Rare Earths 2024年第7期42卷 1354-1365,I0006页

作者： Tushar gupta Ahmad Nawab Rick Honaker MP Materials Mountain Pass Mine 67750 Bailey RoadMountain PassCA92366USA Department of Mining Engineering University of KentuckyLexingtonKY40506USA

High-temperature calcination is effective in improving the leaching characteristics of rare earth elements(REEs)from conventional REE-bearing minerals by transforming them into more leachable ***,the recovery of contaminants such as Al,Fe,and Ca also increases *** objective of the study was to maximize the REE extraction while minimizing the concentration of contaminant ions(Al,Ca,and Fe)in the leach *** density fractions of the coarse refuse from the Baker and Fire Clay seam coal refuse were pulverized to a top size of 180μm and used as a feedstock for the *** the samples generated from thermal treatment were leached at 1%(w/v)using 1.2 mol/L sulfuric acid at 75℃ for 2 *** results from a parametric program based on a Box-Behnken design were used for modeling and optimization of three operating parameters associated with the lab-scale calcination *** parameters included temperature(400-800℃),ramp rate(2-10℃/min)and holding time(0-120 min).It was determined that the calcination temperature was the most significant parameter influencing REE *** majority of the heavy rare earth elements(HREEs)were found to be present in an insoluble form in the calcination products and were marginally affected by thermal treatment.A strong correlation between light rare earth elements recovery(LREEs)and Al suggested a possible association with *** optimum operating conditions for high REE recovery with comparatively lower contaminant concentration for 1.6 specific gravity float and 2.2 sink fractions of Baker and Fire Clay seam material were determined to be at 776,800℃ and 407,800℃,calcining temperatures,respectively.A higher optimum temperature of 1.6 float fraction of Baker seam relative to Fire Clay seam material was due to elevated pyrite concentration in Baker seam *** treatment at 400℃ converted pyrite into a soluble intermedium iron oxide,resulting in a high Fe content in the ***

关键词： Calcination Optimization Rare earth elements Coal refuse

Optimal design of hybrid renewable-energy microgrid system:a techno-economic-environment-social-reliability perspective

在线全文

学校读者我要写书评

暂无评论

Clean Energy 2024年第1期8卷 66-83页

作者： Manoj gupta Annapurna Bhargava Electrical Engineering Department Rajasthan Technical UniversityKotaRajasthan 324010India Electrical and Electronics Engineering Department IPS Academy Institute of Engineering and Science IndoreMadhya Pradesh 452012India

The main objective of this paper is to select the optimal model of a hybrid renewable-energy microgrid(MG)system for a village in *** MG comprises solar photovoltaic(PV)modules,a wind turbine generator,a biomass generator,a battery bank,a diesel generator and an electric *** optimal model selection is based on technical,economic,environmental,social and reliability parameters.A novel spoonbill swarm optimization algorithm is proposed to select the best hybrid MG *** optimization results are compared with particle swarm optimization,the genetic algorithm and the grasshopper optimization *** number or size of components of the optimized MG system is 215 PV modules,92 kW of wind turbine generation,25 kW of biomass generation,267 batteries,22 kW of electric vehicles and 30 kW of diesel *** optimized system was selected based on technical factors such as renewable dispersion(93.5%),the duty factor(5.85)and excess energy(15975 kWh/year)as well as eco-nomic considerations including the net present cost(Rs.34686622)and the cost of energy(9.3 Rs./kWh).Furthermore,environ-mental factors such as carbon emissions(396348 kg/year)and atmospheric particulate matter(22.686 kg/year);social factors such as the human progress index(0.68411),the employment generation factor(0.0389)and local employment generation(15.64643);and reliability parameters including loss of power supply probability(0.01%)and availability index(99.99%)were considered during the selection *** spoonbill swarm optimization algorithm has reduced the convergence time by 1.2 times and decreased the number of iterations by 0.83 times compared with other *** performance of the MG system is validated in the MATLAB®*** results show that the MG system is the optimal system considering technical,economic,environmental,social and reliability ***,the spoonbill swarm optimization algorithm is found to be more efficient than the other

关键词： cost of electricity microgrid reliability spoonbill techno-economic

Multi-head neural networks for simulating particle breakage dynamics

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Theoretical & Applied Mechanics Letters 2024年第2期14卷 130-141页

作者： Abhishek gupta Barada Kanta Mishra School of Mechanical Sciences Indian Institute of Technology(IIT)GoaPonda 403401India School of Chemical and Materials Science Indian Institute of Technology(IIT)GoaPonda 403401India

The breakage of brittle particulate materials into smaller particles under compressive or impact loads can be modelled as an instantiation of the population balance integro-differential *** this paper,the emerging computational science paradigm of physics-informed neural networks is studied for the first time for solving both linear and nonlinear variants of the governing *** conventional methods,the proposed neural network provides rapid simulations of arbitrarily high resolution in particle size,predicting values on arbitrarily fine grids without the need for model *** network is assigned a simple multi-head architecture tailored to uphold monotonicity of the modelled cumulative distribution function over particle *** method is theoretically analyzed and validated against analytical results before being applied to real-world data of a batch grinding *** agreement between laboratory data and numerical simulation encourages the use of physics-informed neural nets for optimal planning and control of industrial comminution processes.

关键词： Particle breakage dynamics Population balance equation Physics-informed neural networks

Operator Equations Inducing Some Generalizations of Slant Hankel Operators

在线全文

学校读者我要写书评

暂无评论

Acta Mathematica Sinica,English Series 2024年第8期40卷 2017-2036页

作者： Gopal DATT Bhawna Bansal gupta Department of Mathematics PGDAV CollegeUniversity of DelhiNew Delhi-110065India Department of Mathematics Miranda HouseUniversity of DelhiDelhi-110007India

An extension of slant Hankel operator,namely,the kth-orderλ-slant Hankel operator on the Lebesgue space L^(2)(T^(n)),where T is the unit circle and n≥1,a natural number,is described in terms of the solution of a system of operator equations,which is subsequently expressed in terms of the product of a slant Hankel operator and a unitary *** study is further lifted in Calkin algebra in terms of essentially kth-orderλ-slant Hankel operators on L^(2)(T^(n)).

关键词： Hankel operator Lebesgue space of n-dimensional torus kth-order slant Hankel operator essentially kth-orderλ-slant Hankel operator

Demand-based dynamic bandwidth allocation in multi-beam satellites using machine learning concepts

在线全文

学校读者我要写书评

暂无评论

Intelligent and Converged Networks 2024年第2期5卷 147-166页

作者： Shwet Kashyap Nisha gupta Department of Electronics and Communication Engineering Birla Institute of Technology MesraRanchi 835215India

In the realm of satellite communication,where the importance of efficient spectrum utilization is growing day by day due to the increasing significance of this technology,dynamic resource management has emerged as a pivotal consideration in the design of contemporary multi-beam satellites,facilitating the flexible allocation of resources based on user *** research paper delves into the pivotal role played by machine learning and artificial intelligence within the domain of satellite communication,particularly focusing on spot beam *** study encompasses an evaluation of machine learning’s application,whereby an extensive dataset capturing user demand across a specific geographical area is subjected to *** analysis involves determining the optimal number of beams/clusters,achieved through the utilization of the knee-elbow method predicated on within-cluster sum of ***,the demand data are equitably segmented employing the weighted k-means clustering *** proposed solution introduces a straightforward yet efficient model for bandwidth allocation,contrasting with conventional fixed beam illumination *** approach not only enhances spectrum utilization but also leads to noteworthy power savings,thereby addressing the growing importance of efficient resource management in satellite communication.

关键词： satellite communications multi-beam satellites machine learning weighted k-means clustering Voronoi tessellation knee-elbow method