30 research outputs found
Regression of oxidative stress by targeting eNOS and Nrf2/ARE signaling: a guided drug target for cardiovascular diseases
No full textCardiovascular diseases (CVDs) are the major health concern and the leading cause of death. Imbalance between free radicals and anti-oxidant defence is associated with cellular dysfunctions leading to the pathophysiology of various diseases including cardiac and vascular diseases. The stress responsive transcription factor NF-E2-related factor 2/antioxidant response element (Nrf2/ARE) regulates the expression of many detoxifying genes. Nitric oxide (NO) produced by endothelial nitric oxide synthase (eNOS) is an important regulator of vascular function. Involvement of NO in modulating Nrf2 signaling is well established. Thus, it is apparent that increasing NO bioavailability and antioxidant status in vascular and myocardial tissue can be considered as a potential strategy to prevent the onset of vascular dysfunction and CVDs and is therefore of therapeutical interest. Based on the marked protective effect of Nrf2/ARE signalling and intriguing links between antioxidant mechanism and endothelial derived NO, the aim of the present review is to compile conclusive evidence for the involvement of NO-Nrf2/ARE axis in the regulation of cardiovascular function. This review also discusses on improving eNOS and Nrf2 signalling by Nrf2 activators which holds promise for countering cardiac and vascular disorders
Topics in statistical finance
No full textThis thesis is divided into three parts. The first part investigates the presence of long term dependence in stock price data via a permutation test based on the correlation structure of the underlying stock prices. These tests reveal the short term nature of stock price dependence structure. The second part extends
Ramprasath and Singh(2007)'s `statistical options' to define a group of American type options based on robust estimators of location. The payoff functions of these path dependent options are based on a new set of stochastic processes which are defined using various robust estimators of location. The asymptotic distributional behavior of these new processes is ascertained which in turn is used in pricing
the options. Markov Chain Monte Carlo (MCMC) methods were used to compute the prices of the statistical options. The third part explores a stock price model parameter estimation problem and interprets a growth rate parameter.Ph.D.Includes bibliographical references (p. 81-83)
Needleless Electrospun Nanofibers for Drug Delivery Systems
No full textBubble, hollow tube, roller, wire-based and slit-surface needleless electrospinning units are discussed on the basis of the entrepreneurial product cycle of prototype development translating into commercial units. The controlled release of curcumin from a scaffold under physiological simulated conditions shows a significant release of curcumin within 48 hours of test. This work may serve as a useful guide for a drug delivery industry to process nanofibers at a large and continuous scale with a blend of drugs in the nanofibers using wire electrode electrospinning. This work may also serve as a useful guide to obtain a high-quality nanofiber from a needleless electrospinning process for drug delivery applications
Highly crystalline and improved photo-response property of CuInS2 thin films via Yb doping by chemical spray pyrolysis technique
No full textChemInform Abstract: Synthesis of 7‐Oxabicyclo[2.2.1]hept‐5‐en‐2‐yl Derivatives and Their Screening for Antimicrobial and Antioxidant Properties.
No full textFunctional analysis of cemented bipolar hemiarthroplasty with medial calcar augmentation for unstable intertrochanteric fractures in elderly
No full text<p class="abstract"><strong>Background:</strong> <span lang="EN-IN">Intertrochanteric fracture is one of the most common fractures among the elderly osteoporotic population</span><span lang="FR">, constituting about 50% of hip fractures. These fractures are managed either by fixation using dynamic hip screw (DHS), proximal femur nail (PFN) or by replacement, based on the stability of fracture pattern, age of the patient, quality of bone and associated co-morbid conditions. Prosthetic replacement which is routinely done for femoral neck fractures requires modification when done for trochanteric fractures to improve stability. This study aims to analyse the short term functional outcome of </span><span lang="EN-IN">cemented bipolar hemiarthroplasty with medial calcar augmentation for unstable intertrochanteric fractures in elderly.</span></p><p class="abstract"><strong>Methods:</strong> <span lang="EN-IN">Our study includes 60 patients of age more than 70 years admitted in our institution during June 2012 to September 2016 with unstable intertrochanteric fractures. All patients operated through posterior approach to hip and cemented hemiarthroplasty with medial calcar augmentation with bone graft was done. Patients were followed up for an average of period of 2 years. Functional outcome was evaluated with Harris Hip score</span>.<strong></strong></p><p class="abstract"><strong>Results:</strong> <span lang="EN-IN">28%<strong> </strong>of<strong> </strong>cases had excellent outcome. 43% of cases had good and 23% of cases had fair outcome. 2% of cases ended with poor outcome. The in-hospital mortality rate was 3.3%. The survival rate of the patients in this study at the end of one year is 85%. </span></p><p class="abstract"><strong>Conclusions:</strong> <span lang="EN-IN">Cemented bipolar hemiarthroplasty with medial calcar augumentation can be considered as a good primary option for elderly unstable intertrochanteric fracture patients with osteoporotic bones and associated co-morbidities.</span></p><p class="abstract"> </p><p> </p></jats:p
White shark optimizer with optimal deep learning based effective unmanned aerial vehicles communication and scene classification.
No full textUnmanned aerial vehicles (UAVs) become a promising enabler for the next generation of wireless networks with the tremendous growth in electronics and communications. The application of UAV communications comprises messages relying on coverage extension for transmission networks after disasters, Internet of Things (IoT) devices, and dispatching distress messages from the device positioned within the coverage hole to the emergency centre. But there are some problems in enhancing UAV clustering and scene classification using deep learning approaches for enhancing performance. This article presents a new White Shark Optimizer with Optimal Deep Learning based Effective Unmanned Aerial Vehicles Communication and Scene Classification (WSOODL-UAVCSC) technique. UAV clustering and scene categorization present many deep learning challenges in disaster management: scene understanding complexity, data variability and abundance, visual data feature extraction, nonlinear and high-dimensional data, adaptability and generalization, real-time decision making, UAV clustering optimization, sparse and incomplete data. the need to handle complex, high-dimensional data, adapt to changing environments, and make quick, correct decisions in critical situations drives deep learning in UAV clustering and scene categorization. The purpose of the WSOODL-UAVCSC technique is to cluster the UAVs for effective communication and scene classification. The WSO algorithm is utilized for the optimization of the UAV clustering process and enables to accomplish effective communication and interaction in the network. With dynamic adjustment of the clustering, the WSO algorithm improves the performance and robustness of the UAV system. For the scene classification process, the WSOODL-UAVCSC technique involves capsule network (CapsNet) feature extraction, marine predators algorithm (MPA) based hyperparameter tuning, and echo state network (ESN) classification. A wide-ranging simulation analysis was conducted to validate the enriched performance of the WSOODL-UAVCSC approach. Extensive result analysis pointed out the enhanced performance of the WSOODL-UAVCSC method over other existing techniques. The WSOODL-UAVCSC method achieved an accuracy of 99.12%, precision of 97.45%, recall of 98.90%, and F1-score of 98.10% when compared to other existing techniques
Physio-Chemical and Biological Characterization of Novel HPC (Hydroxypropylcellulose):HAP (Hydroxyapatite):PLA (Poly Lactic Acid) Electrospun Nanofibers as Implantable Material for Bone Regenerative Application
No full textThe research on extracellular matrix (ECM) is new and developing area that covers cell proliferation and differentiation and ensures improved cell viability for different biomedical applications. Extracellular matrix not only maintains biological functions but also exhibits properties such as tuned or natural material degradation within a given time period, active cell binding and cellular uptake for tissue engineering applications. The principal objective of this study is classified into two categories. The first phase is optimization of various electrospinning parameters with different concentrations of HAP-HPC/PLA(hydroxyapatite-hydroxypropylcellulose/poly lactic acid). The second phase is in vitro biological evaluation of the optimized mat using MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide) assay for bone regeneration applications. Conductivity and dielectric constant were optimized for the production of thin fiber and bead free nanofibrous mat. With this optimization, the mechanical strength of all compositions was found to be enhanced, of which the ratio of 70:30 hit a maximum of 9.53 MPa (megapascal). Cytotoxicity analysis was completed for all the compositions on MG63 cell lines for various durations and showed maximum cell viability on 70:30 composition for more than 48 hrs. Hence, this investigation concludes that the optimized nanofibrous mat can be deployed as an ideal material for bone regenerative applications. In vivo study confirms the HAP-HPC-PLA sample shows more cells and bone formation at 8 weeks than 4 weeks
Knowledge attitude and practice towards prevention and early detection of chronic kidney disease among high risk patients
No full textBackground: It is well recognized that chronic kidney disease (CKD), if left, untreated would slowly progress to end-stage renal disease (ESRD)., A targeted approach is to enhance the knowledge of CKD among the public, especially in high risk population, and encourage them to practice a healthy attitude and practice that may help in early detection and thereby better management of CKD. Such a study to assess the baseline data has not been done in India. Aims and Objectives: To inculcate the knowledge attitude and practice towards prevention and early detection of CKD among high risk patients attending a tertiary care centre. This Observational study was carried out on all patients with diabetes and/or hypertension attending General medicine out-patient or in-patient in a given period of time. Patients more than 18 years of age with diabetes and/or hypertension were included while patients with chronic kidney disease were excluded. Methodology: A standard questionnaire obtained from an author of similar study is given to patients fulfilling the inclusion criteria. Is this National Kidney Foundation's Kidney Disease Outcome Quality Initiative (KDOQI)? If so mention it. 
