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Enhancing the Surface Properties of a Bioengineered Anterior Cruciate Ligament Matrix for Use with Point-of-Care Stem Cell Therapy

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Engineering 2021年第2期7卷 153-161页

作者： Xiaohua Yu Paulos Y.Mengsteab Ganesh Narayanan lakshmi S.Nair Cato T.Laurencin Connecticut Convergence Institute for Translation in Regenerative Engineering University of Connecticut HealthFarmingtonCT 06030USA Raymond and Beverly Sackler Center for Biological Physical and Engineering SciencesUniversity of Connecticut HealthFarmingtonCT 06030USA Department of Orthopedic Surgery University of Connecticut HealthFarmingtonCT 06030USA Department of Biomedical Engineering University of ConnecticutStorrsCT 06269USA Department of Materials Science and Engineering University of ConnecticutStorrsCT 06269USA Department of Chemical and Biomolecular Engineering University of ConnecticutStorrsCT 06269USA Department of Reconstructive Sciences University of Connecticut HealthFarmingtonCT 06030USA

We have previously developed a poly(L-lactic)acid(PLLA)bioengineered anterior cruciate ligament(ACL)matrix that has demonstrated enhanced healing when seeded with primary ACL cells prior to implantation in a rabbit model,as compared with the matrix alone.This suggests that improving cell adhesion on the matrix may beneficially affect the healing response and long-term performance of the bioengineered ACL matrix.One regenerative engineering approach involves enhancing the surface properties of the matrix to support cell adhesion and growth in combination with point-of-care stem cell therapy.Herein,we studied the cell adhesion properties of PLLA braided microfiber matrices enhanced through the physical adsorption of fibronectin and air plasma treatment.We evaluated the kinetics and binding efficiency of fibronectin onto matrices at three time points and three fibronectin concentrations.Incubating the matrix for 120 min in a solution of 25 lgmL1 fibronectin achieved the greatest binding efficiency to the matrix and cellular adhesion.Exposing the matrices to air plasma treatment for 5 min before fibronectin adsorption significantly enhanced the cell adhesion of rabbit bone marrow-derived mesenchymal stem cells(R-BMMSCs)24 h post cell seeding.Finally,cellular proliferation was monitored for up to 21 d,the matrices were exposed to air plasma treatment,and fibronectin adsorption was found to result in enhanced cell number.These findings suggest that exposure to air plasma treatment and fibronectin adsorption enhances the cellular adhesion of PLLA braided microfiber matrices and may improve the clinical efficacy of the matrix in combination with point-of-care stem cell therapies.

关键词： Anterior cruciate ligament Ligament Poly(L-lactic)acid plasma treatment Fibronectin Stem cells Adhesion

Regenerative Engineering for Knee Osteoarthritis Treatment： Biomaterials and Cell-Based Technologies

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Engineering 2017年第1期3卷 16-27页

作者： Jorge L. Escobar Ivirico Maumita Bhattacharjee Emmanuel Kuyinu lakshmi S. Nair Cato T. Laurencin Institute for Regenerative Engineering University of Connecticut Health Center Farrnington CT 06030 USA Raymond and Beverly Sackler Center for Biomedical Biological Physical and Engineering Sciences University of Connecticut Health Center Farmington CT 06030 USA Department of Orthopaedic Surgery University of Connecticut Health Center Farmington CT 06030 USA Department of Biomedical Engineering School of Engineering University of Connecticut Storrs CT 06269 USA Department of Materials Science and Engineering School of Engineering University of Connecticut Storrs CT 06269 USA Institute of Materials Science University of Connecticut Storrs CT 06269 USA Department of Craniofacial Sciences School of Dental Medicine University of Connecticut Health Center Farmington CF 06030 USA Department of Chemical and Biomolecular Engineering School of Engineering University of Connecticut Storrs CT 06269 USA

膝关节骨性关节炎(OA)是世界上最常见的关节炎,其发病率逐年上升。不断上涨的治疗费用给患者带来了经济负担。膝关节OA治疗的两个早期干预目标是减轻膝关节的疼痛和关节软骨的损害。目前用于治疗膝关节OA的方法虽取得了一定疗效,但仍没... 详细信息

膝关节骨性关节炎(OA)是世界上最常见的关节炎,其发病率逐年上升。不断上涨的治疗费用给患者带来了经济负担。膝关节OA治疗的两个早期干预目标是减轻膝关节的疼痛和关节软骨的损害。目前用于治疗膝关节OA的方法虽取得了一定疗效,但仍没有一种方法可达到全膝关节置换术(TKA)的治疗效果。TKA主要应用于治疗末期膝关节OA,其缺点是有手术侵入性和手术费用昂贵。因而,应该重视创新性的再生技术,以推迟甚至消除患者对TKA的需求。一些基于生物材料和细胞的疗法目前正处于发展阶段,并已在临床前和临床研究方面取得了初步进展。单独或联合应用先进的生物材料和干细胞治疗膝关节OA可减轻疼痛,使损害的关节软骨再生。在此综述中,我们讨论了膝关节OA疼痛和软骨损害的发病机制,并探讨了该病的最新治疗策略及其局限性。

关键词：膝关节骨性关节炎骨关节炎疼痛间充质干细胞生物材料再生工程

Micro RNAs potential utility in colon cancer: Early detection, prognosis, and chemosensitivity

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World Journal of Gastroenterology 2015年第27期21卷 8284-8292页

作者： Michael Hollis Kavitha Nair Arpita Vyas lakshmi Shankar Chaturvedi Sahil Gambhir Dinesh Vyas Department of Surgery College of Human Medicine Michigan State University Department of Medicine Emory University Pediatrics College of Human Medicine Michigan State University

Over the past decade, research has shown that aberrant expression of micro RNA(mi RNA) is involved in colorectal cancer development and progression. Micro RNAs are small sequences of non-coding RNA that regulate expression of genes involved in important cellular functions, such as cell differentiation, multiplication, and apoptosis. A specific mi RNA may display the effects of a tumor suppressor or oncogene. Altered mi RNA expression is found in colorectal cancer(CRC) and patterns of mi RNA expression correlate with CRC detection and outcome. Studies also have examined the use of circulating serum mi RNA and fecal mi RNA expression as non-invasive markers for early detection. Here, we review recent evidence demonstrating the potential role of mi RNA in CRC and the implications of its use in the diagnosis, prognosis, and management of CRC.

关键词： Colorectal cancer Microrna Expression Serum microRNA Fecal microRNA Diagnostic Prognostic Therapeutic

Adaptive Particle Swarm Optimization Data Hiding for High Security Secret Image Sharing

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Computer Systems Science & Engineering 2022年第12期43卷 931-946页

作者： S.lakshmi Narayanan Electronics and Communication Engineering Sri Ramakrishna Engineering CollegeCoimbatore641022Tamil NaduIndia

The main aim of this work is to improve the security of data hiding forsecret image sharing. The privacy and security of digital information have becomea primary concern nowadays due to the enormous usage of digital technology.The security and the privacy of users’ images are ensured through reversible datahiding techniques. The efficiency of the existing data hiding techniques did notprovide optimum performance with multiple end nodes. These issues are solvedby using Separable Data Hiding and Adaptive Particle Swarm Optimization(SDHAPSO) algorithm to attain optimal performance. Image encryption, dataembedding, data extraction/image recovery are the main phases of the proposedapproach. DFT is generally used to extract the transform coefficient matrix fromthe original image. DFT coefficients are in float format, which assists in transforming the image to integral format using the round function. After obtainingthe encrypted image by data-hider, additional data embedding is formulated intohigh-frequency coefficients. The proposed SDHAPSO is mainly utilized for performance improvement through optimal pixel location selection within the imagefor secret bits concealment. In addition, the secret data embedding capacityenhancement is focused on image visual quality maintenance. Hence, it isobserved from the simulation results that the proposed SDHAPSO techniqueoffers high-level security outcomes with respect to higher PSNR, security level,lesser MSE and higher correlation than existing techniques. Hence, enhancedsensitive information protection is attained, which improves the overall systemperformance.

关键词： Image sharing separable data hiding using adaptive particle swarm optimization(SDHAPSO) security access control

Decentralized damage diagnostic technique for tall buildings using VARMAX model

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Earthquake Engineering and Engineering Vibration 2022年第2期21卷 417-439页

作者： K.lakshmi J.Prawin CSIR-Structural Engineering Research Centre CSIR RoadChennai 600113Tamil NaduIndia

Civil infrastructure,especially buildings,are becoming more slender,tall,and multipurpose,creating a need to continuously monitor their health to ensure the safety and security of human lives and assets.While the majority of structural health monitoring techniques use measurements from the entire structure,in this study,an output-only damage diagnostic technique using a decentralized concept(subdomain-based)for tall buildings and employing a vector form of the autoregressive moving average with exogenous input(VARMAX)model is proposed,which offers reduced instrumentation and data handling requirements.Unlike other decentralized approaches,this technique predicts more than one DOF at a time so the number of subdomains required for the diagnosis of the complete structure is minimized.The proposed subdomain-based damage diagnostic algorithm works with ambient loads and does not require any correlated numerical models since it is solely based on measured data.The proposed algorithm can identify the time instant of damage,spatial location(s)and characterize the damage intensity.Efforts have been made to account for confounding factors such as environmental and operational variabilities separate from measurement noise to avoid false positive alarms.The effectiveness of the proposed technique is illustrated using synthetic time history responses from a twenty-story framed structure under ambient loading and an experimental study on a ten-story framed structure.Both numerical and experimental investigations confirm the effectiveness of the method and its robustness to environmental/operational variabilities and measurement noise.

关键词： structural health monitoring subdomain high-rise buildings shear-type buildings VARMAX model environmental and operational variability measurement noise

Profile and Rating Similarity Analysis for Recommendation Systems Using Deep Learning

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Computer Systems Science & Engineering 2022年第6期41卷 903-917页

作者： lakshmi Palaniappan K.Selvaraj Department of Computer Science and Engineering Veerammal Engineering CollegeK.SingarakottaiDindigul624708India Department of Information Technology PSNA College of Engineering and TechnologyDindigul624622India

Recommendation systems are going to be an integral part of any E-Business in near future.As in any other E-business,recommendation systems also play a key role in the travel business where the user has to be recommended with a restaurant that best suits him.In general,the recommendations to a user are made based on similarity that exists between the intended user and the other users.This similarity can be calculated either based on the similarity between the user profiles or the similarity between the ratings made by the users.First phase of this work concentrates on experimentally analyzing both these models and get a deep insight of these models.With the lessons learned from the insights,second phase of the work concentrates on developing a deep learning model.The model does not depend on the other user's profile or rating made by them.The model is tested with a small restaurant dataset and the model can predict whether a user likes the restaurant or not.The model is trained with different users and their rating.The system learns from it and in order to predict whether a new user likes or not a restaurant that he/she has not visited earlier,all the data the trained model needed is the rating made by the same user for different restaurants.The model is deployed in a cloud environment in order to extend it to be more realistic product in future.Result evaluated with dataset,it achieves 74.6%is accurate prediction of results,where as existing techniques achieves only 64%.

关键词： Deep learning restricted boltzman machine profile based similarity rating based similarity item based similarity

Impact of temperature and precipitation lapse rate on hydrological modelling over Himalayan Gandak River Basin

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Journal of Mountain Science 2022年第12期19卷 3487-3502页

作者： Brijesh KUMAR Dipankar ROY Venkataraman Lakshmi Department of Hydraulic and Water Resource Engineering Bule Hora UniversityBule Hora 144Ethiopia Department of Civil Engineering Madanapalle Institute of Technology&ScienceMadanapalle 517325India Engineering Systemsand Environment Universityof VirginiaCharlottesvilleVA22904USA

The hydrology of Himalayan region is influenced by temperature lapse rate(TLAPS)and precipitation lapse rate(PLAPS).Therefore,hydrological modeling considering TLAPS and PLAPS is crucial to manage the water resources in these terrains.In this research,Himalayan Gandak River basin is considered as the study area where TLAPS and PLAPS vary significantly due to high altitude of Himalayas.To assess the impact of TLAPS and PLAPS on water balance components,Soil Water Assessment Tool(SWAT)model was calibrated(2000-2007)and validated(2008-2014)on daily time step for three projects i.e.,Reference Project(RP),Snowmelt Project(SP)and distributed elevation band snowmelt project(SWAT-ETISM).The analysis discloses that SWAT-ETISM model(which has TLAPS and PLAPS parameters)outperforms the RP and the SP models in predicting streamflow with improved statistical indicators R2=0.88,NSE=0.84 and PBIAS=11.9.Furthermore,it was observed that SWAT-ETISM model comprehensively improved the streamflow statistics by improving the snow water equivalent and water balance components through the consideration of TLAPS and PLAPS values for the region.Hence,the proposed SWAT-ETISM model can be used for estimation of the water budget at the high-altitude and data scarce alpine Himalayan regions and worldwide,where PLAPS and TLAPS are substantial due to altitudinal variation.

关键词： Streamflow SWAT-ETISM Himalayan Regions Water balance Temperature lapse rate Precipitation lapse rate

Renewable energy resources, policies and gaps in BRICS countries and the global impact

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Frontiers in Energy 2019年第3期13卷 506-521页

作者： lakshmi PATHAK Kavita SHAH Institute of Environment and Sustainable Development Banaras Hindu UniversityVaranasi 221005India

This paper presents comparative yet extensive analysis of existing non-conventional renewable resources, energy policies and gaps in BRICS countries. An intelligent transformation to green economy to maintain natural resources is noted. Brazil has stable energy policies and is the leading producer of biofuels following hydropower until 2014 but supported wind and solar power development by tendering specific tariffs for energy generation from solar and wind. Russia needs improvement in its legal and regulatory framework with more incentives in energy policies. China is improving upon wind and hydropower but it needs strong policy measures to put cap on increased CO2 emissions. India needs revision in energy policy and requires extra incentives and consumer specific energy policies for research-infrastructure and energy generation technologies. South Africa requires lessons to increase renewable energy and reduce coal mining. Moreover, BRICS countries need to redefine their energy policies based upon their existing geographical, economical, societal and environmental conditions which will help in shaping global energy policies and more financial stability. This paper recognizes the potential of BRICS to reshape the global system paralleled with minimizing CO2 emissions. The concerted role of BRICS needs to be recognized as the leading contributor of global renewable capacity where the developed world is geared and busy to address the environmental issues.

关键词： BRICS CO2 emissions energy policies renewable

Biology of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)and the humoral immunoresponse:a systematic review of evidence to support global policy-level actions and research

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Global Health Journal 2022年第1期6卷 38-43页

作者： Shalini Nair Xinguang Chen Department of Epidemiology University of Florida2004 Mowry RoadGainesvilleFlorida32610USA

Background Both population-level epidemiological data and individual-level biological data are needed to control the coronavirus disease 2019(COVID-19)pandemic.Population-level data are widely available and efforts to combat COVID-19 have generated proliferate data on the biology and immunoresponse to the causative pathogen,severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).However,there remains a paucity of systemized data on this subject.Objective In this review,we attempt to extract systemized data on the biology and immuno-response to SARS-CoV-2 from the most up-to-date peer-reviewed studies.We will focus on the biology of the virus and immunological variations that are key for determining long-term immunity,transmission potential,and prognosis.Data Sources and Methods Peer-reviewed articles were sourced from the PubMed database and by snowballing search of selected publications.Search terms included:“Novel Coronavirus”OR“COVID-19”OR“SARS-CoV-2”OR“2019-nCoV”AND“Immunity”OR“Immune Response”OR“Antibody Response”OR“Immunologic Response”.Studies published from December 31,2019 to December 31,2020 were included.To ensure validity,papers in pre-print were excluded.Results Of 2889 identified papers,36 were included.Evidence from these studies suggests early seroconversion in patients infected with SARS-CoV-2.Antibody titers appear to markedly increase two weeks after infection,followed by a plateau.A more robust immune response is seen in patients with severe COVID-19 as opposed to mild or asymptomatic presentations.This trend persists with regard to the length of antibody maintenance.However,overall immunity appears to wane within two to three months post-infection.Conclusion Findings of this study indicate that immune responses to SARS-CoV-2 follow the general pattern of viral infection.Immunity generated through natural infection appears to be short,suggesting a need for long-term efforts to control the pandemic.Antibody testing will be essential to gauge the epidemic and inform decision-making on effect

关键词： Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2) Coronavirus disease 2019(COVID-19) Immunoresponse Antibody Global health Health policy Decision-making Serology testing