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American Journal of Plant Sciences 2011年第6期2卷 841-846页

作者： Priti Tiwari Himanshu Rai Dalip Kumar Upreti Suman Trivedi preeti shukla 不详

In vitro antifungal activity of the acetone, methanol and chloroform extracts of four lichen species viz, Bulbothirx setschwanensis, Everniastrum nepalense, Heterodermia diademata, Parmelaria thomsonii were investigated against seven plant pathogenic fungi (Aspergillus flavus, A. fumigatus, Alternaria alternata, Fusarium oxysporum, F. solani, F. roseum and Penicillium citrinum) with reference to commercially available synthetic antifungal drug Ketoconazole (positive control). Lichen secondary metabolites were extracted using Soxhlet extractor and were further recovered through gentle evaporation of solvents in rotatory evaporator. Antifungal activity was analysed employing BauerKirby disc diffusion assay. Acetone and methanol extracts of lichenized fungi were found more effective against tested plant pathogenic fungi. Principal component analysis concluded that though, Ketoconazole was effective against four of the tested plant pathogenic fungi, acetone and methanol extracts of lichens were comparatively more effective against some broad spectrum plant pathogenic fungi (Fusarium oxysporum, F. solani, F. roseum).

关键词： Acetone Extract Antifungal Activity Bauer- Kirby Disc Diffusion Assay Foliose Himalayan Lichen Methanol Extract Rotary Evaporator Secondary Metabolites Soxhlet Extractor

A Hybrid Approach of TLBO and EBPNN for Crop YieldPrediction Using Spatial Feature Vectors

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Journal on Artificial Intelligence 2019年第2期1卷 45-58页

作者： preeti Tiwari Piyush shukla UIT RGPVBhopal462033India.

The prediction of crop yield is one of the important factor and also challenging,to predict the future crop yield based on various criteria’*** advanced technologies are incorporated in the agricultural processes,which enhances the crop yield production *** process of predicting the crop yield can be done by taking agriculture data,which helps to analyze and make important decisions before and during *** paper focuses on the prediction of crop yield,where two models of machine learning are developed for this *** is Modified Convolutional Neural Network(MCNN),and the other model is TLBO(Teacher Learning Based Optimization)-a Genetic algorithm which reduces the input size of *** this work,some spatial information used for analysis is the Normalized Difference Vegetation Index,Standard Precipitation Index and Vegetation Condition *** finds some best feature value set in the data that represents the specific yield of the ***,these selected feature valued set is passed in the Error Back Propagation Neural Network for ***,the training was done in such a way that all set of features were utilized in pair with their yield value as *** increasing the reliability of the work whole experiment was done on a real dataset from Madhya Pradesh region of country *** result shows that the proposed model has overcome various evaluation parameters on different scales as compared to previous approaches adopted by researchers.

关键词： Crop yield prediction data mining machinelearning vegetation index TLBO.

Antioxidant activity of phytosynthesized biomatrix-loaded noble metallic nanoparticles

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Chinese Journal of Chemical Engineering 2018年第5期26卷 1200-1208页

作者： preeti Dauthal Mausumi Mukhopadhyay Department of Chemical Engineering Sardar Vallabhbhai National Institute of Technology Surat 395007 Gujarat India Department of Chemical Engineering Marwadi University Gauridad Rajkot 360003 Gujarat India

Biofabrication of noble monometallic platinum nanoparticles(Pt-NPs) and bimetallic gold–silver nanoparticles(Au Ag-NPs) using aqueous extract of Delonix regia is presented here. Antioxidant activity of biomatrix-loaded metallic nanoparticles is estimated for scavenging of two model radicals i.e., 2,2′-Azino-bis-(3-ethylbenzothiazoline-6-sulfonic acid) diammonium salt and 1,1′-Diphenyl-2-picrylhydrazyl. Broad spectral continuum spanning from visible to ultra-violet region(Pt-NPs: 30 min) and broad high intensity absorption peak around at 500 nm(Au Ag-NPs: 10 min) in two different UV–Visible spectra confirmed the biofabrication. Nanoparticles fabricated with distorted spherical shape and crystalline face-centred-cubic geometry. Strong signal around at 2.10 ke V(pure-phase platinum) and typical X-ray peaks observed at 2.20 and 3 ke V suggested, co-existence and alloying interaction of Au and Ag in Au Ag-NPs. ζ potential(-15.2 mV: Pt-NPs and -13.9 mV: Au Ag-NPs) values suggested surface adsorption of polyphenolic compounds to provide stability. Nanoparticles exhibited pronounced antioxidant activity against free radicals through their electron/hydrogen transfer ability.

关键词： Platinum Gold-silver Nanopartides Antioxidant Free radical

Design of a Lightweight Compressed Video Stream-Based Patient Activity Monitoring System

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Computers, Materials & Continua 2024年第1期78卷 1253-1274页

作者： Sangeeta Yadav preeti Gulia Nasib Singh Gill Piyush Kumar shukla Arfat Ahmad Khan Sultan Alharby Ahmed Alhussen Mohd Anul Haq Department of Computer Science&Applications Maharshi Dayanand UniversityRohtak124001India University Institute of Technology Rajiv Gandhi Proudyogiki VishwavidyalayaBhopal462033India Department of Computer Science College of ComputingKhon Kaen UniversityKhon Kaen40002Thailand Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl Majmaah11952Kingdom of Saudi Arabia Department of Computer Engineering College of Computer and Information SciencesMajmaah UniversityAl Majmaah11952Kingdom of Saudi Arabia

Inpatient falls from beds in hospitals are a common *** falls may result in severe *** problem can be addressed by continuous monitoring of patients using *** advancements in deep learning-based video analytics have made this task of fall detection more effective and *** with fall detection,monitoring of different activities of the patients is also of significant concern to assess the improvement in their *** computation-intensive models are required to monitor every action of the patient *** requirement limits the applicability of such ***,to keep the model lightweight,the already designed fall detection networks can be extended to monitor the general activities of the patients along with the fall *** by the same notion,we propose a novel,lightweight,and efficient patient activity monitoring system that broadly classifies the patients’activities into fall,activity,and rest classes based on their *** whole network comprises three sub-networks,namely a Convolutional Neural Networks(CNN)based video compression network,a Lightweight Pose Network(LPN)and a Residual Network(ResNet)Mixer block-based activity recognition *** compression network compresses the video streams using deep learning networks for efficient storage and retrieval;after that,LPN estimates human ***,the activity recognition network classifies the patients’activities based on their *** proposed system shows an overall accuracy of approx.99.7% over a standard dataset with 99.63% fall detection accuracy and efficiently monitors different events,which may help monitor the falls and improve the inpatients’health.

关键词： Fall detection activity recognition human pose estimation accuracy

Polymer Nanocomposites in Sensor Applications: A Review on Present Trends and Future Scope

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Chinese Journal of Polymer Science 2021年第6期39卷 665-691,I0005页

作者： Prashant shukla Pooja Saxena Amity Institute for Advanced Research and Studies(Materials&Devices) Amity UniversitySector-125Noida 201303India G L Bajaj Institute of Technology and Management Greater Noida-201306Uttar PradeshIndia

Polymers are crucial constituents of modern electronic *** can be used in their pristine,composite or nanocomposite forms for several domestic and industrial applications with innumerable unique *** nanocomposites have gained wide theoretical interest and numerous practical applications in diverse fields of science and technology as they bestow the materials not only with virtuous processability but also with exceptional *** is evidenced that the electrical conductance of polymer nanocomposite is governed by the conductive filler networks within the polymer ***,insignificant variation in the conductive networks can result in noteworthy variations in the output electric signal of polymer *** this stimuli-responsive performance of conductive networks to the physical parameters,polymer nanocomposites can be harnessed to fabricate novel sensitive sensors to detect vital physical parameters ***/stress,pressure,temperature,solvent or *** and phenomenological studies on polymer nanocomposites are still *** explanations are being sought but the mechanisms governing the formation of several polymer nanocomposites are still topics of debate in the material science *** in-depth investigation requires copious scientific *** review analytically sketches the synthesis,microstructures,physiochemical properties and the underlying mechanisms for stimuli-responsiveness to the physical parameters of the polymer nanocomposites as well as their applications in various sensitive sensors and ***,it became evocative for this review to focus on their processing methodologies,physiochemical physiognomies,classification and probable potentials of polymer *** review primarily presents the current literature survey on polymer composites and the gap areas in the study encourages the objective of the present review ***,the status,perspec

关键词： Polymers Polymer nanocomposites Sensors CNT Graphene

A Cooperative Approach of Frequency Regulation Through Virtual Inertia Control and Enhancement of Low Voltage Ride-through in DFIG-based Wind Farm

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Journal of Modern Power Systems and Clean Energy 2022年第6期10卷 1519-1530页

作者： preeti Verma Seethalekshmi K. Bharti Dwivedi Department of Electrical Engineering Institute of Engineering and TechnologyLucknow 226021Uttar PradeshIndiawhich is a constituent institute of Dr.A.P.J.Abdul Kalam Technical UniversityLucknowUttar Pradesh(U.P.)India IEEE

Doubly-fed induction generator(DFIG)-based wind farms(WFs)are interfaced with power electronic *** interfaces are attributed to the low inertia generated in the WFs under high penetration and that becomes prevalent in a fault ***,transient stability enhancement along with frequency stability in DFIG-based WFs is a major concern in the present *** this paper,a cooperative approach consisting of virtual inertia control(VIC)and a modified grid-side converter(GSC)approach for low voltage ride-through(LVRT)is proposed to achieve fault ride-through(FRT)capabilities as per the grid code requirements(GCRs)while providing frequency support to the grid through a synthetic *** proposed approach provides LVRT and reactive power compensation in the *** participation of the VIC in a rotor-side converter(RSC)provides frequency support to the DFIG-based *** combined approach supports active power compensation and provides sufficient kinetic energy support to the system in a contingency *** studies are carried out in MATLAB/Simulink environment for symmetrical and unsymmetrical *** superiority of the proposed scheme is demonstrated through analysis of the performance of the scheme and that of a series resonance bridge-type fault current limiter(SR-BFCL).

关键词： Virtual inertia controller(VIC) doubly-fed induction generator(DFIG) fault ride-through(FRT)capability wind farm(WF) fault current limiter(FCL)

Non-static plane symmetric perfect fluid solutions and Killing symmetries in f(R,T)gravity

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Communications in Theoretical Physics 2024年第2期76卷 145-150页

作者： preeti Dalal Karanjeet Singh Sachin Kumar Department of Mathematics and Statistics Central University of PunjabBathinda151401PunjabIndia Department of Mathematics Jaypee University of Information TechnologySolan173234Himachal PradeshIndia

In this paper,the non-static solutions for perfect fluid distribution with plane symmetry in f(R,T)gravitational theory are ***,using the Lie symmetries,symmetry reductions are performed for considered vector fields to reduce the number of independent ***,corresponding to each reduction,exact solutions are *** vectors lead to different conserved ***,we figure out the Killing vector fields corresponding to all derived *** derived solutions are further studied and it is observed that all of the obtained spacetimes,at least admit to the minimal symmetry group which consists of δ_(y),δ_(z) and -zδ_(y)+yδ_(z).The obtained metrics,admit to 3,4,6,and 10,Killing vector *** of linear momentum in the direction of y and z,and angular momentum along the x axis is provided by all derived solutions.

关键词： Einstein field equations perfect fluid solutions f(R T)gravity killing symmetries

Finite control set model predictive control of three-port converter for interfacing a PV-battery energy storage system to a three-phase stand-alone AC system

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Clean Energy 2024年第2期8卷 73-84页

作者： Gangashetty A.preeti Anbalagan Karthikeyan Department of Electrical and Electronics Engineering National Institute of Technology KarnatakaSurathkal575025India

This paper proposes a multiport bidirectional non-isolated converter topology that provides advantages in terms of simultaneous multiple operations,single-stage conversion,high power density and reduced power losses due to the lower number of *** proposed multiport converter uses a centralized non-linear controller known as a finite control set model predictive controller to manage the flow of power between different *** deals with the parallel operation of photovoltaic and battery energy storage systems for stand-alone alternating current(AC)*** converter connects the lower voltage battery to the photovoltaic port using a bidirectional buck/boost converter and the photovoltaic port is linked to the stand-alone AC load through a three-phase full-bridge *** leg of the three-phase converter will act as a bidirectional direct current(DC)/DC converter as well as an inverter *** six switches manage the power transfer between all the connected ports of photovoltaic-battery energy storage system linked to the stand-alone AC *** proposed multiport converter is mathematically modelled and controlled by a finite control set model predictive *** system is validated in simulation(1-kW rating)and experimental environment(200-W rating).The hardware prototype is developed in the laboratory and the controller is implemented on the field-programmable gate array *** independent case studies are carried out to validate the efficacy of the *** first scenario is for a change in solar irradiance,while the second scenario is for a change in the output load.

关键词： multiport converter DC/AC converter DC/DC converter finite control set model predictive controller(FCSMPC) PV-BESS three-phase converter

Liposome based drug delivery as a potential treatment option for Alzheimer’s disease

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Neural Regeneration Research 2022年第6期17卷 1190-1198页

作者： Carely Hernandez Surabhi shukla Department of Pharmaceutical Sciences College of PharmacyLarkin UniversityMiamiFLUSA

Alzheimer’s disease is a neurodegenerative condition leading to atrophy of the brain and robbing nearly 5.8 million individuals in the United States age 65 and older of their cognitive ***’s disease is associated with dementia and a progressive decline in memory,thinking,and social skills,eventually leading to a point that the individual can no longer perform daily activities *** available drugs on the market temporarily alleviate the symptoms,however,they are not successful in slowing down the progression of Alzheimer’s *** and cures have been constricted due to the difficulty of drug delivery to the blood-brain *** studies have led to identification of vesicles to transport the necessary drugs through the blood-brain barrier that would typically not achieve the targeted area through systemic delivered ***,liposomes have emerged as a viable drug delivery agent to transport drugs that are not able to cross the blood-brain *** are being used as a component of nanoparticle drug delivery;due to their biocompatible nature;and possessing the capability to carry both lipophilic and hydrophilic therapeutic agents across the blood brain barrier into the brain *** indicate the importance of liposomal based drug delivery in treatment of neurodegenerative *** idea is to encapsulate the drugs inside the properly engineered liposome to generate a response of *** are engineered to target specific diseased moieties and also several surface modifications of liposomes are under research to create a clinical path to the management of Alzheimer’s *** review deals with Alzheimer’s disease and emphasize on challenges associated with drug delivery to the brain,and how liposomal drug delivery can play an important role as a drug delivery method for the treatment of Alzheimer’s *** review also sheds some light on variation of ***

关键词： Alzheimer’s disease beta-amyloid blood-brain barrier brain delivery drug delivery systems encapsulated drugs liposomes nanoparticles neurodegenerative diseases PEGylation targeted delivery tau