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Improved performance of naringenin herbosomes over naringenin in streptozotocin- induced diabetic rats: In vitro and in vivo evaluation

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Asian Pacific Journal of Tropical Biomedicine 2021年第9期11卷 385-393页

作者： Ruthvika Joshi ankit P.Laddha Yogesh A.Kulkarni Sarika Wairkar Shobhaben Pratapbhai Patel School of Pharmacy&Technology Management SVKM's NMIMSV.L.Mehta RoadVile Parle(W)Mumbai.Maharashtra-400056India

Objective:To prepare naringenin herbosome and evaluate its antidiabetic ***:Herbosomes were prepared by the solvent evaporation *** vitro parameters like particle size,polydispersity index,zeta potential,and entrapment efficiency were estimated and in vitro diffusion study was *** in vivo studies were also performed in streptozotocin-induced diabetic male Sprague Dawley rats to evaluate blood glucose,total cholesterol,triglyceride,blood urea nitrogen,total protein,albumin level,aspartate aminotransferase,and alanine aminotransferase ***:The optimized herbosome batch showed a particle size of 564.4 nm,a polydispersity index of 0.412,and zeta potential of−39.3 *** percentage entrapment of this formulation was 84.04%,with complete drug release within 8 *** of diabetic rats with naringenin herbosomes for 28 d significantly reduced the elevated level of plasma glucose as compared to plain *** biochemical parameters,the treatment showed a significant decrease in total cholesterol,triglyceride,and blood urea nitrogen;while elevated levels of aspartate aminotransferase and alanine aminotransferase were returned to *** naringenin and herbosome formulation at high dose increased the total protein whereas albumin level significantly increased in naringenin herbosomes at the highest dose but not in the pure naringenin treatment ***:Naringenin herbosomes could improve the metabolic profile of diabetic rats,indicating enhanced antidiabetic activity of herbosome formulation.

关键词： Naringenin Herbosomes Blood glucose level Biochemical parameters Antidiabetic activity

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Mucormycosis – resurgence of a deadly opportunist during COVID-19 pandemic: Four case reports

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World Journal of Clinical Cases 2021年第36期9卷 11338-11345页

作者： Shalini Upadhyay Tanisha Bharara Manisha Khandait ankit Chawdhry Bharat Bhushan Sharma Department ofMicrobiology SGT UniversityGurugram 122505HaryanaIndia Department of Oral and Maxillofacial Surgery SGT UniversityGurugram 122505HaryanaIndia Department of Radiology SGT UniversityGurugram 122505HaryanaIndia

BACKGROUND Coronavirus disease 2019(COVID-19)patients who suffer severe infection or comorbidities have an increased risk of developing fungal *** is a possibility that such infections are missed or misdiagnosed,in which case patients may suffer higher morbidity and ***-19 infection,aggressive management strategies and comorbidities like diabetes render patients prone to opportunistic fungal *** is one of the opportunistic fungal infections that may affect treated COVID *** SUMMARY We present a case series of four adult males who were diagnosed with mucormycosis post-COVID-19 *** the patients had diabetes and a history of systemic corticosteroids for treatment of *** mean duration between diagnosis of COVID-19 and development of symptoms of mucor was 15.5±14.5(7–30)*** patients underwent debridement and were started on antifungal *** patient was referred to a higher center for further management,but the others responded well to treatment and showed signs of improvement at the last *** Early diagnosis and management of mucormycosis with appropriate and aggressive antifungals and surgical debridement can improve survival.

关键词： Zygomycetes Fungal infection COVID-19 co-infection Diabetes mellitus Case series Case report

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Improved Reinforcement Learning For Cargo Ship Steering Control

Improved Reinforcement Learning For Cargo Ship Steering Cont...

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第36届中国控制会议

作者： ankit Sharma Qing Zheng Mathew Mithra Noel Department of Electrical and Computer Engineering Gannon University IEEE School of Electrical Engineering VIT University

ISBN: (纸本)9781538629185

The focus of this paper is to investigate the use of improved reinforcement learning（IRL） in feedback control to improve the closed-loop performance of nonlinear *** classical nonlinear cargo ship steering control has been employed to test the performance of *** Markov decision processes（MDP） based reinforcement learning suffers from trade-off between exploration versus exploitation and discretization for continuous *** address these issues of discretization and exploration,nonlinear adaptive discretization is proposed to obtain more states near the desired state and less spacing states as we move away from the desired *** technique provides better control near the desired state which is essential to prevent overshoot and achieve good tracking performance while keeping total states bare *** solves the problem of exploration partly,but also creates control issues around less density *** such states IRL leverages cubic spline interpolation in conjunction with K-means clustering to find smoother control *** the end of IRL the experience function has been added to reduce the search space for similar *** experience function reduces the upper and lower bounds of states in consecutive runs if desired states could be reached within new limit *** results show excellent performance of IRL based controller for ship steering control,noise tolerance and disturbance rejection.

关键词： Reinforcement learning feedback control ship steering Markovian decision processes

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Diagnosis and Detection of Alzheimer’s Disease Using Learning Algorithm

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Big Data Mining and Analytics 2023年第4期6卷 504-512页

作者： Gargi Pant Shukla Santosh Kumar Saroj Kumar Pandey Rohit Agarwal Neeraj Varshney ankit Kumar the Department of Management Doon Business SchoolDehradun 248001India. Jaipuria Institute of Management Jaipur 302033India Department of Computer Engineering and Apllications GLA UniversityMathura 281406India.

In Computer-Aided Detection(CAD)brain disease classification is a vital ***’s Disease(AD)and brain tumors are the primary reasons of *** studies of these diseases are carried out by Magnetic Resonance Imaging(MRI),Positron Emission Tomography(PET),and Computed Tomography(CT)scans which require expertise to understand the *** disease is the most prevalent in the elderly and can be fatal in its later *** result can be determined by calculating the mini-mental state exam score,following which the MRI scan of the brain is *** from that,various classification algorithms,such as machine learning and deep learning,are useful for diagnosing MRI ***,they do have some limitations in terms of *** paper proposes some insightful pre-processing methods that significantly improve the classification performance of these MRI ***,it reduced the time it took to train the model of various pre-existing learning algorithms.A dataset was obtained from Alzheimer’s Disease Neurological Initiative(ADNI)and converted from a 4D format to a 2D *** clipping,grayscale image conversion,and histogram equalization techniques were used to pre-process the *** pre-processing,we proposed three learning algorithms for AD classification,that is random forest,XGBoost,and Convolution Neural Networks(CNN).Results are computed on dataset and show that it outperformed with exiting work in terms of accuracy is 97.57%and sensitivity is 97.60%.

关键词： alzheimer’s disease deep learning random forest XGBoost

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Evaluating mechanism and inconsistencies in hydraulic conductivity of unsaturated soil using newly proposed biochar conductivity factor

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Biochar 2023年第1期5卷 585-602页

作者： ankit Garg Hong-Hu Zhu Ajit K.Sarmah Guoxiong Mei Vinay Kumar Gadi Department of Civil and Environmental Engineering Shantou UniversityShantouChina Southwest University of Science and Technology MianyangSichuanChina School of Earth Sciences and Engineering Nanjing UniversityNanjingChina Department of Civil and Environmental Engineering University of AucklandAuckland 1142New Zealand Ocean College Zhejiang UniversityHangzhouChina School of Engineering Cardiff UniversityCardiff CF243AAUK

In the past few decades,numerous studies have been conducted to promote the use of biochar as a soil amendment and most recently,for compacted geo-engineered *** general,the definite trends of biochar effects on water retention and fertility of soils have been ***,the biochar effects on hydraulic conductivity,particularly unsaturated hydraulic conductivity of soil-biochar mix remain unclear,making it difficult to understand water seepage in both agricultural and geo-engineered infrastructures in semi-arid *** study examines the unsaturated hydraulic conductivity function derived based on the measurements of soil water characteristic curves of soil with biochar contents of 0%,5%and 10%.A new parameter“biochar conductivity factor(BCF)”is proposed to evaluate the inconsistency in reported biochar effects on soil hydraulic conductivity and to interpret it from various mechanisms(inter-and intra-pore space filling,cracking,aggregation,bio-film formation and piping/internal erosion).The impact of biochar content on unsaturated hydraulic conductivity appears to reduce as the soil becomes drier with minimal effect in residual *** comparison of near-saturated hydraulic conductivity with test results in the literature showed that the BCF is generally higher for smaller ratio of sand to fine content(clay and silt).Moreover,the particle size of biochar may have significant influence on soil *** scope of research has been highlighted with respect to biochar production for its applications in agriculture and geo-environmental *** term effects such as root decay and growth,aggregation and nutrient supply need to be considered.

关键词： Biochar conductivity factor(BCF) Unsaturated hydraulic conductivity Soil water characteristic curve(SWCC) Pyrolysis process

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Atezolizumab and bevacizumab as first line therapy in advanced hepatocellular carcinoma:Practical considerations in routine clinical practice

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World Journal of Hepatology 2021年第9期13卷 1132-1142页

作者： ankit Jain Shivakumar Chitturi Geoffrey Peters Desmond Yip Department of Medical Oncology The Canberra HospitalGarran 2605ACTAustralia ANU Medical School Australian National UniversityCanberra 0200ACTAustralia Gastroenterology and Hepatology Unit Canberra HospitalCanberra 2605ACTAustralia

Hepatocellular carcinoma(HCC)is the most common primary liver *** advanced HCC,sorafenib was considered the standard of care for more than ten *** the atezolizumab and bevacizumab combination has become standard of care for these patients without contraindications to either immune checkpoint inhibitors or antiangiogenic *** now review the practical aspects of the atezolizumab and bevacizumab combination,including current evidence,indications,contraindications,management of adverse events,sequencing of this combination,areas of current knowledge gaps and future areas of active clinical research of this combination for busy clinicians in clinical practice.

关键词： Hepatocellular carcinoma Atezolizumab Bevacizumab Immunotherapy Child Pugh cirrhosis Anti-angiogenic therapy

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Nano/microscale pyroelectric energy harvesting:challenges and opportunities

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International Journal of Smart and Nano Materials 2013年第4期4卷 229-245页

作者： Devashish Lingam ankit R.Parikh Jiacheng Huang Ankur Jain Majid Minary-Jolandan Department of Mechanical Engineering NanoTech InstituteThe University of Texas at DallasRichardsonTX 75080USA Department of Mechanical and Aerospace Engineering The University of Texas at ArlingtonArlingtonUSA

With the ever-growing demand for renewable energy sources,energy harvesting from natural resources has gained much *** sources such as heat and mechanical motion could be easily harvested based on pyroelectric,thermoelectric,and piezoelectric *** energy harvested from otherwise wasted energy in the environment can be utilized in self-powered micro and nano devices,and wearable electronics,which required onlyµW–mW *** article reviews pyroelectric energy harvesting with an emphasis on recent developments in pyroelectric energy harvesting and devices at micro/*** developments are presented and future challenges and opportunities for more efficient materials and devices with higher energy conversion efficiency are also discussed.

关键词： pyroelectricity energy harvesting micro/nanoscale nanowires composites flexible devices self-powered devices

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P-ROCK: A Sustainable Clustering Algorithm for Large Categorical Datasets

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Intelligent Automation & Soft Computing 2023年第1期35卷 553-566页

作者： Ayman Altameem Ramesh Chandra Poonia ankit Kumar Linesh Raja Abdul Khader Jilani Saudagar Department of Computer Science and Engineering College of Applied Studies and Community ServicesKing Saud UniversityRiyadh11533Saudi Arabia Department of Computer Science CHRIST(Deemed to be University)Bangalore560029India Department of Computer Engineering and Applications GLA UniversityMathuraUPIndia Department of Computer Application Manipal University JaipurRajasthan303007India Information Systems Department Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia

Data clustering is crucial when it comes to data processing and *** new clustering method overcomes the challenge of evaluating and extracting data from big *** or categorical data can be *** clustering methods favor numerical data clustering and ignore categorical data *** recently,the only way to cluster categorical data was to convert it to a numeric representation and then cluster it using current numeric clustering ***,these algorithms could not use the concept of categorical data for *** that,suggestions for expanding traditional categorical data processing methods were *** addition to expansions,several new clustering methods and extensions have been proposed in recent *** is an adaptable and straightforward algorithm for calculating the similarity between data sets to cluster *** paper aims to modify the algo-rithm by creating a parameterized version that takes specific algorithm parameters as input and outputs satisfactory cluster *** parameterized ROCK algorithm is the name given to the modified algorithm(P-ROCK).The proposed modification makes the original algorithm moreflexible by using user-defined parameters.A detailed hypothesis was developed later validated with experimental results on real-world datasets using our proposed P-ROCK algorithm.A comparison with the original ROCK algorithm is also *** results show that the proposed algorithm is on par with the original ROCK algorithm with an accuracy of 97.9%.The proposed P-ROCK algorithm has improved the runtime and is moreflexible and scalable.

关键词： ROCK K-means algorithm clustering approaches unsupervised learning K-histogram

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Performance analysis of STT-RAM with cross shaped free layer using Heusler alloys

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Journal of Semiconductors 2016年第1期37卷 47-50页

作者： Tangudu Bharat Kumar Bahniman Ghosh Bhaskar Awadhiya ankit Kumar Verma Department of Electronics and Communications Malaviya National Institute of Technology Microelectronics Research Center 10100 Burnet Road Bldg. 160 University of Texas at Austin Department of Electrical Engineering Indian Institute of Technology Kanpur Department of Electronics and Communications Manipal Institute of Technology Manipal University Electronics and Communication Engineering Department National Institute of Technology

We have investigated the performance of a spin transfer torque random access memory （STT-RAM） cell with a cross shaped Heusler compound based free layer using micromagnetic simulations. We have designed a free layer using a Cobalt based Heusler compound. Simulation results clearly show that the switching time from one state to the other state has been reduced, also it has been found that the critical switching current density （to switch the magnetization of the free layer of the STT RAM cell） is reduced.

关键词： spin transfer torque random access memory (STT-MRAM) micromagnetic simulation Heusler com-pound switching time critical switching current density

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Trends in Gunshot Residue Detection by Electrochemical Methods for Forensic Purpose

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Journal of Analysis and Testing 2021年第3期5卷 258-269页

作者： Abhimanyu Harshey ankit Srivastava Tanurup Das Kriti Nigam Raj Shrivastava Vijay K.Yadav Dr.A.P.J.Abdul Kalam Institute of Forensic Science and Criminology Bundelkhand UniversityJhansi 284128India State Forensic Science Laboratory Sagar 470002India

Gunshot Residue(GSR)has been a subject of interest for the forensic *** analytical contributions towards the GSR analysis have been ***,portability,cost-effectiveness,speed,*** such factors of electrochemical methods that have attracted the researchers across the globe to test the applicability of these as a potential analytical tool for forensic evaluation of *** the development of scientific technology,efforts have been made towards the handheld device for the on-field analysis of ***,chemometric treatment of data generated from the electrochemical analysis of GSR has offered more effective *** makes the analysis more conclusive and minimizes the chances of false-positive *** will be very fruitful to anticipate the analytical potential of electrochemical tools for GSR *** article reviews the research progress towards the development of electrochemical sensor for GSR detection reported during 2013-2020 along with challenges and future perspectives.

关键词： GSR(gunshot residue) Forensics Electrochemical sensing Voltammetry Amperometry

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