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Cellular interplay to 3D in vitro microphysiological disease model:cell patterning microbiota-gut-brain axis

Bio-Design and Manufacturing 2024年第3期7卷 320-357页

作者： Kamare Alam Lakshmi Nair Souvik Mukherjee kulwinder kaur Manjari Singh Santanu Kaity Velayutham Ravichandiran Sugato Banerjee Subhadeep Roy Department of Pharmacology and Toxicology National Institute of Pharmaceutical Education and ResearchKolkataWest Bengal 700054India Department of Pharmaceutical Sciences Assam UniversitySilchar 788011India Department of Pharmaceutical Sciences Guru Ghasidas UniversityKoniBilaspur 495009C.G.India School of Pharmacy and Biomolecular Sciences RCSI University of Medicine and Health SciencesDublin D02 YN77Ireland Tissue Engineering Research Group Department of Anatomy and Regenerative MedicineRCSI University of Medicine and Health SciencesDublin D02 YN77Ireland Department of Pharmaceutics National Institute of Pharmaceutical Education and ResearchKolkataWest Bengal 700054India Department of Natural Products National Institute of Pharmaceutical Education and ResearchKolkataWest Bengal 700054India

The microbiota-gut-brain axis(MGBA)has emerged as a key prospect in the bidirectional communication between two major organ systems:the brain and the *** between the two organ systems allows the body to function without disease,whereas dysbiosis has long-standing evidence of etiopathological *** most common communication paths are the microbial release of metabolites,soluble neurotransmitters,and immune ***,each pathway is intertwined with a complex *** the emergence of in vitro models and the popularity of three-dimensional(3D)cultures and Transwells,engineering has become easier for the scientific understanding of neurodegenerative *** paper briefly retraces the possible communication pathways between the gut microbiome and the *** further elaborates on three major diseases:autism spectrum disorder,Parkinson’s disease,and Alzheimer’s disease,which are prevalent in children and the *** diseases also decrease patients’quality of ***,understanding them more deeply with respect to current advances in in vitro modeling is crucial for understanding the *** of MGBA in the laboratory uses many molecular technologies and biomaterial *** and organoids provide a more realistic picture of the cell and tissue structure than *** them with the Transwell system offers the advantage of compartmentalizing the two systems(apical and basal)while allowing physical and chemical cues between ***-edge technologies,such as bioprinting and microfluidic chips,might be the future of in vitro modeling,as they provide dynamicity.

关键词： Microbiota-gut-brain axis Neurodegeneration 3D disease model Organoid Transwell system

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Effect of pressure on electronic and thermoelectric properties of magnesium silicide: A density functional theory study

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Chinese Physics B 2016年第5期25卷 246-252页

作者： kulwinder kaur Ranjan Kumar Department of Physics Panjab University

We study the effect of pressure on electronic and thermoelectric properties of Mg_2Si using the density functional theory and Boltzmann transport equations. The variation of lattice constant, band gap, bulk modulus with pressure is also analyzed. Further, the thermoelectric properties（Seebeck coefficient, electrical conductivity, electronic thermal conductivity） have been studied as a function of temperature and pressure up to 1200 K. The results show that Mg_2Si is an n-type semiconductor with a band gap of 0.21 eV. The negative value of the Seebeck coefficient at all pressures indicates that the conduction is due to electrons. With the increase in pressure, the Seebeck coefficient decreases and electrical conductivity increases. It is also seen that, there is practically no effect of pressure on the electronic contribution of thermal *** paper describes the calculation of the lattice thermal conductivity and figure of merit of Mg_2Si at zero pressure. The maximum value of figure of merit is attained 1.83 × 10^（-3） at 1000 K. The obtained results are in good agreement with the available experimental and theoretical results.

关键词： semiconductors effects of pressure electric and thermal conductivity density functional theory

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Enhancement of figure of merit（ZT） by doping Bi in Mg2Si for energy harvesting applications

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Progress in Natural Science:Materials International 2016年第6期26卷 533-539页

作者： kulwinder kaur Ranjan Kumar Department of Physics Panjab University

Magnesium Silicide is one of the interesting thermoelectric materials known for relative abundance of its constituents, thermal stability, non-toxicity and environmental friendly nature. In this paper we have theoretically studied Bi doped Mg2Si. The electronic structure calculations predict non-existence of the energy gap for Mg2Si1-xBixwith（0.125≤ x≤0.5）. It has been found that the system with x=0.125 exhibits highest Seebeck coefficient and electrical conductivity. Due to low thermal conductivity at x=0.125, Mg2Si0.875Bi0.125attained maximum value of dimensionless figure of merit 0.67 at 1200 K. With increase in concentration of Bi,the value of figure of merit decreases.

关键词： Electrical transport properties Thermoelectric properties Carrier concentration Density functional theory Lattice thermal conductivity Electronic structure

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Unraveling the effect of uniaxial strain on thermoelectric properties of Mg2Si:A density functional theory study

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Chinese Physics B 2017年第6期26卷 301-306页

作者： kulwinder kaur Ranjan Kumar Department of Physics Pan jab University Chandigarh-160014 India

In this work, the effect of uniaxial strain on electronic and thermoelectric properties of magnesium silicide using density functional theory（DFT） and Boltzmann transport equations has been studied. We have found that the value of band gap increases with tensile strain and decreases with compressive strain. The variations of electrical conductivity,Seebeck coefficient, electronic thermal conductivity, and power factor with temperatures have been calculated. The Seebeck coefficient and power factor are observed to be modified strongly with strain. The value of power factor is found to be higher in comparison with the unstrained structure at 2% tensile strain. We have also calculated phonon dispersion, phonon density of states, specific heat at constant volume, and lattice thermal conductivity of material under uniaxial strain. The phonon properties and lattice thermal conductivity of Mg2Si under uniaxial strain have been explored first time in this report.

关键词： semiconductors thermoelectric and thermo magnetic effects electric and thermal conductivity density functional theory

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The modified magnetodielectric response in KNN-CZFMO based particulate multiferroic composite system

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Journal of Advanced Dielectrics 2020年第5期10卷 58-68页

作者： kulwinder kaur Mandeep Singh Jaspal Singh Sanjeev Kumar Department of Physics Punjabi UniversityPatiala 147002India Applied Sciences Department Punjab Engineering College(Deemed to be University)Chandigarh 160012India

Lead-free multiferroic composites of 1−x(K_(0.5)Na_(0.5)NbO_(3−x))(Co_(0.6)Zn_(0.4))(Fe_(1.7)Mn_(0.3))O_(4)(KNN-CZFMO),where x=0.0,0.1,0.2,0.3,0.4,0.5 and 1.0,have been investigated for their structural,morphological,electrical,magnetic,dielectric and magneto-dielectric *** of KNN and CZFMO crystal structure in each composite has been confirmed from X-ray diffrac-tion analysis(XRD).Cuboidal-shaped grains of KNN and spherical-shaped grains of CZFMO have been observed by scanning electron microscopy(SEM).The room temperature ferroelectric behavior as confirmed by polarization versus electric field(P-E)hysteresis loops has been found to be decreasing with increasing CZFMO *** magnetic ordering with the increase in CZFMO concentration in the prepared composites has been observed by magnetization versus magnetic field(M-H)hysteresis *** electrical conductivity of composites has been studied using Jonscher’s universal power *** room temperature dielectric constant(ε′)and dielectric loss(tanδ)have been observed to decrease with the increase in the frequency of the applied external electric *** dielectric relaxation behavior has been observed using curve fitting analysis via the Havriliak-Negami relaxation *** value of the magnetodielectric(MD)effect~−11%at a frequency of 1 kHz with the applied magnetic field of 1 T has been achieved for 0.9 KNN−0.1 CZFMO(x=0.1)composite in the present research work.

关键词： Multiferroics composites magnetodielectric effect

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Particle Size Optimization of Thermochemical Salt Hydrates for High Energy Density Thermal Storage

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Energy & Environmental Materials 2024年第2期7卷 330-337页

作者： Andrew Martin Drew Lilley Raνi Prasher Sumanjeet kaur Energy Technologies Area Lawrence Berkeley National Laboratory Department of Mechanical Engineering UC Berkeley

Thermal energy storage（TES） solutions offer opportunities to reduce energy consumption, greenhouse gas emissions, and cost. Specifically, they can help reduce the peak load and address the intermittency of renewable energy sources by time shifting the load, which are critical toward zero energy buildings. Thermochemical materials（TCMs） as a class of TES undergo a solid–gas reversible chemical reaction with water vapor to store and release energy with high storage capacities(600 k Wh m-3) and negligible selfdischarge that makes them uniquely suited as compact, stand-alone units for daily or seasonal storage. However, TCMs suffer from instabilities at the material（salt particles） and reactor level（packed beds of salt）, resulting in poor multi-cycle efficiency and high-levelized cost of storage. In this study, a model is developed to predict the pulverization limit or Rcritof various salt hydrates during thermal cycling. This is critical as it provides design rules to make mechanically stable TCM composites as well as enables the use of more energy-efficient manufacturing process（solid-state mixing） to make the composites. The model is experimentally validated on multiple TCM salt hydrates with different water content, and effect of Rcriton hydration and dehydration kinetics is also investigated.

关键词： high energy density hydration kinetics long-term cycling thermal energy storage thermochemical materials

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U-Net Inspired Deep Neural Network-Based Smoke Plume Detection in Satellite Images

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Computers, Materials & Continua 2024年第4期79卷 779-799页

作者： Ananthakrishnan Balasundaram Ayesha Shaik Japmann kaur Banga Aman Kumar Singh Centre for Cyber Physical Systems Vellore Institute of Technology(VIT)ChennaiTamil Nadu600127India School of Computer Science and Engineering Vellore Institute of Technology(VIT)ChennaiTamil Nadu600127India

Industrial activities, through the human-induced release of Green House Gas (GHG) emissions, have beenidentified as the primary cause of global warming. Accurate and quantitative monitoring of these emissions isessential for a comprehensive understanding of their impact on the Earth’s climate and for effectively enforcingemission regulations at a large scale. This work examines the feasibility of detecting and quantifying industrialsmoke plumes using freely accessible geo-satellite imagery. The existing systemhas so many lagging factors such aslimitations in accuracy, robustness, and efficiency and these factors hinder the effectiveness in supporting timelyresponse to industrial fires. In this work, the utilization of grayscale images is done instead of traditional colorimages for smoke plume detection. The dataset was trained through a ResNet-50 model for classification and aU-Net model for segmentation. The dataset consists of images gathered by European Space Agency’s Sentinel-2 satellite constellation from a selection of industrial sites. The acquired images predominantly capture scenesof industrial locations, some of which exhibit active smoke plume emissions. The performance of the abovementionedtechniques and models is represented by their accuracy and IOU (Intersection-over-Union) *** images are first trained on the basic RGB images where their respective classification using the ResNet-50model results in an accuracy of 94.4% and segmentation using the U-Net Model with an IOU metric of 0.5 andaccuracy of 94% which leads to the detection of exact patches where the smoke plume has occurred. This work hastrained the classification model on grayscale images achieving a good increase in accuracy of 96.4%.

关键词： Smoke plume ResNet-50 U-Net geo satellite images early warning global monitoring

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Economic Power Dispatching from Distributed Generations: Review of Optimization Techniques

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Energy Engineering 2024年第3期121卷 557-579页

作者： Paramjeet kaur Krishna Teerth Chaturvedi Mohan Lal Kolhe Department of Electrical&Electronics Engineering University Institute of TechnologyBhopalIndia Faculty of Engineering and Science University of AgderKristiansandNorway

In the increasingly decentralized energy environment,economical power dispatching from distributed generations(DGs)is crucial to minimizing operating costs,optimizing resource utilization,and guaranteeing a consistent and sustainable supply of electricity.A comprehensive review of optimization techniques for economic power dispatching from distributed generations is imperative to identify the most effective strategies for minimizing operational costs while maintaining grid stability and *** choice of optimization technique for economic power dispatching from DGs depends on a number of factors,such as the size and complexity of the power system,the availability of computational resources,and the specific requirements of the *** techniques for economic power dispatching from distributed generations(DGs)can be classified into two main categories:(i)Classical optimization techniques,(ii)Heuristic optimization *** classical optimization techniques,the linear programming(LP)model is one of the most popular optimization *** the LP model,power demand and network constraints are met while minimizing the overall cost of generating electricity from *** approach is efficient in determining the best DGs dispatch and is capable of handling challenging optimization issues in the large-scale system including *** quadratic programming(QP)model,a classical optimization technique,is a further popular optimization method,to consider *** QP model can take into account the quadratic cost of energy production,with consideration constraints like network capacity,voltage,and *** metaheuristic optimization techniques are also used for economic power dispatching from DGs,which include genetic algorithms(GA),particle swarm optimization(PSO),and ant colony optimization(ACO).Also,Some researchers are developing hybrid optimization techniques that combine elements of classical and heuristic optimiz

关键词： Economic power dispatching distributed generations decentralized energy cost minimization optimization techniques

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Maximizing Resource Efficiency in Cloud Data Centers through Knowledge-Based Flower Pollination Algorithm (KB-FPA)

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Computers, Materials & Continua 2024年第6期79卷 3757-3782页

作者： Nidhika Chauhan Navneet kaur Kamaljit Singh Saini Sahil Verma Kavita Ruba Abu Khurma Pedro A.Castillo University Institute of Computing Department Chandigarh UniversityPunjab140413India Department of Computer Science and Engineering Chandigarh UniversityPunjab140413India Universidade Federal do Piauí TeresinaPiauí64049-550Brazil MEU Research Unit Faculty of Information TechnologyMiddle East UniversityAmman11831Jordan Applied Science Research Center Applied Science Private UniversityAmman11931Jordan Department of Computer Engineering Automatics and RoboticsUniversity of GranadaGranada18071Spain

Cloud computing is a dynamic and rapidly evolving field,where the demand for resources fluctuates *** paper delves into the imperative need for adaptability in the allocation of resources to applications and services within cloud computing *** motivation stems from the pressing issue of accommodating fluctuating levels of user demand *** adhering to the proposed resource allocation method,we aim to achieve a substantial reduction in energy *** reduction hinges on the precise and efficient allocation of resources to the tasks that require those most,aligning with the broader goal of sustainable and eco-friendly cloud computing *** enhance the resource allocation process,we introduce a novel knowledge-based optimization *** this study,we rigorously evaluate its efficacy by comparing it to existing algorithms,including the Flower Pollination Algorithm(FPA),Spark Lion Whale Optimization(SLWO),and Firefly *** findings reveal that our proposed algorithm,Knowledge Based Flower Pollination Algorithm(KB-FPA),consistently outperforms these conventional methods in both resource allocation efficiency and energy consumption *** paper underscores the profound significance of resource allocation in the realm of cloud *** addressing the critical issue of adaptability and energy efficiency,it lays the groundwork for a more sustainable future in cloud computing *** contribution to the field lies in the introduction of a new resource allocation strategy,offering the potential for significantly improved efficiency and sustainability within cloud computing infrastructures.

关键词： Cloud computing resource allocation energy consumption optimization algorithm flower pollination algorithm

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Secure and Efficient Outsourced Computation in Cloud Computing Environments

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Journal of Software Engineering and Applications 2024年第9期17卷 750-762页

作者： Varun Dixit Davinderjit kaur Omnissa LLC Palo Alto CA USA MedROAD Lab University of Alberta Edmonton Canada

Secure and efficient outsourced computation in cloud computing environments is crucial for ensuring data confidentiality, integrity, and resource optimization. In this research, we propose novel algorithms and methodologies to address these challenges. Through a series of experiments, we evaluate the performance, security, and efficiency of the proposed algorithms in real-world cloud environments. Our results demonstrate the effectiveness of homomorphic encryption-based secure computation, secure multiparty computation, and trusted execution environment-based approaches in mitigating security threats while ensuring efficient resource utilization. Specifically, our homomorphic encryption-based algorithm exhibits encryption times ranging from 20 to 1000 milliseconds and decryption times ranging from 25 to 1250 milliseconds for payload sizes varying from 100 KB to 5000 KB. Furthermore, our comparative analysis against state-of-the-art solutions reveals the strengths of our proposed algorithms in terms of security guarantees, encryption overhead, and communication latency.

关键词： Secure Computation Cloud Computing Homomorphic Encryption Secure Multiparty Computation Resource Optimization

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