Web Application for Consultant Services

The emergence of internet has changed the system from the circulation of data that has shifted us from a world of paper documents to a world of online documents and databases systems.Consultancy services provide options for multiple different domains to be covered under one place. To be exact multiple services are provided under one company that acts as consultancy. Data mining plays an important role in many decision making application and research domains. Predictions of a things based on data available is one of the important features of data mining. Loan and insurance recommendation system is one of data mining and machine learning application where the system needs to recommend the banks that can provide loan to users and at the same time provide users with insurance providing companies that can provide proper scheme to users. We will use K-NN based approach for providing users with such recommendations. The K-NN algorithm performs analysis on that data. Based on the result of analysis, description of suitable financial services and insurance services will be displayed to the user.Finally it guides the user so that they can register themselves for those insurance policies which they find suitable

FORMULATION AND DEVELOPMENT OF SOLID LIPID NANOPARTICLES BASED NANOGEL FOR DERMAL DELIVERY OF TOLMETIN.

Abstract: Topical administration of the Tolmetin is an anti-inflammatory agent with analgesic and antipyretic properties. It is used to treat osteoarthritis, rheumatoid arthritis and control acute pain. The therapeutic effects of Tolmetin are achieved via inhibition of the synthesis of prostaglandins involved in fever, pain, swelling and inflammation. Although, topical application of Tolmetin offers the advantage of delivering a drug directly to the disease site in order to maximize local effects without concurrent systemic activity yet, no formulation of Tolmetin is available in the market for topical use. The most difficult aspect of the topical drug delivery system is the formidable barrier properties of the stratum corneum (SC), the outermost layer of the skin that prevents percutaneous absorption of drugs. Keywords: Tolmetin, Zeta potential, X-ray Diffraction Studies

Comparative study of machine learning algorithms for anomaly detection in Cloud infrastructure

Cloud is one of the emerging technologies in the field of computer science and is extremely popular because of its use of elastic resources to provide optimized, cost-effective and on-demand services. As technology started to grow in scale and complexity, the need for automated anomaly detection and monitoring system has become important. Inappropriate exploitation of Cloud resources can often lead to faults like crashing of VMs, decreased efficiency of cloud system etc. thereby leading to violations of the Service Level Agreement (SLA). These faults are often preceded by anomalies in the behavior of the VMs. Hence, the anomalies can be used as indicators of faults which potentially violate the SLAs. We have created a system that will monitor the VMs, detect anomalies and warn the system administrator before any problem escalates. We present in this paper a comparative study of various machine learning algorithms used for detecting anomalies in cloud

EFFECT OF PHYTOESTROGENS ON LIPID PROFILE: MINI REVIEW

Phytoestrogens are structurally similar to its mammalian counterparts and are capable of producing estrogen-like effects and non-steroidal in nature. Their affinity to bind to the estrogen receptors, a class of cytoplasmic proteins, is far less in comparison to the natural estrogen hormones found in humans and other animals or even the synthetically prepared estrogen and, therefore, are far less potent. Even so, the usage of phytoestrogen in either dietary or supplemental form in postmenopausal women is gaining interest, as opposed to the conventional estrogen replacement therapy (ERT), which was so far being used to alleviate the postmenopausal symptoms and believed, with little experimental/clinical evidence, to cause a significant reduction in the threat of coronary heart diseases (CHD). This usage of phytoestrogen follows from the fact that the overall health risks exerted by ERT outweigh the benefits, and to a little extent, the perception that synthetically prepared, so-called prescription estrogen†interferes with what is otherwise a natural process. It is crucial to explore the alternatives that mimic the beneficial effects of ERT, especially with regard to the minimization of the risk of developing CHD and further evaluation of the aforementioned risks in terms of lipid profiling while simultaneously keeping the health risks to a minimum. This review discusses the scope of use of phytoestrogen specifically pertaining to lipid profiling, their possible health benefits, and adverse effects if any. Keywords: Phytoestrogens, Postmenopause, Lipid profile, Isoflavones

Improve the Performance of a Surface Condenser to Improve Efficiency Heat Exchanger - A Review Paper

The Heat Exchanger is a device for transferring heat from one medium to another, typically by cooling it. Condenser is the main part more important for heat transfer rate in heat exchanger. Different types of condenser are used to improve the efficiency of heat exchanger. The research in this project was intended to improve performance and thermal efficiency of the surface condenser by changing the material or by making some improvements in the design of the product. The main objective of our project is to increase performance than that of conventional design. The above picture shows modified form of surface. It’s namely a shell and coil condenser. In practical situations, when power plants or industries are installed there are lots of constraints. This tends to reduce or increase power output and heat rate of thermal power plants and industries. By using physical analysis, we finally come up with this CAD model. The main ability of this project is, that it can make more efficient and improve the performance. That there is problem in the condenser is that it’s performance and efficiency is not reached as they want. In our design model, we try to give our best possible solution. Due to these conditions, the designed power and heat rate are never achieved. Variations in the power outputs from plant are always a matter of disputes. From experimented research paper and conclude that if Coil diameter of Coil as well as material of Coil changes then, may be increase effectiveness of heat exchanger. So the parameters for power and heat price are generated for exceptional situations of condenser strain, float rate of water via the condenser, Temperature difference. On the basis of site dimension and layout information collection overall performance of the heat exchanger unit (effectiveness) may be evaluated

Drowsiness Detection and Vehicular Safety System for Monitoring the Loss of Attention in Locomotive Drivers

In a creating country like India, with progression in the transportation innovation and ascend in the complete number of vehicles, street mishaps increments are often. The fundamental driver behind these street mishaps are the absence of preparing establishments, untalented drivers, poor street conditions, utilization of PDAs amid driving, expending liquor while driving, over-burdening and poor administrative plans in such manner. The proposed work is to alarm the driver when he is lazy or diverted far from typical ready mode to non-ready mode by methods for ringer or vibration instrument. In this task, constant information is gathered by camcorder and other miniaturized scale electro mechanical framework gadgets (MEMS). This information gives data about driving state of the driver which goes about as contribution to controller. The suitable measures are taken by the controller to alarm the driver.

Towards a tensionless string field theory for the N=(2,0) CFT in d=6

We describe progress in using the field theory of tensionless strings to arrive at a Lagrangian for the six-dimensional $\mathcal N=(2,0)$ conformal theory. We construct the free part of the theory and propose an ansatz for the cubic vertex in light-cone superspace. By requiring closure of the $(2,0)$ supersymmetry algebra, we fix the cubic vertex up to two parameters.Comment: 46 pages, 2 figures. V2: references added; minor changes and improvement

Large-scale genome-wide association studies and meta-analyses of longitudinal change in adult lung function.

BACKGROUND: Genome-wide association studies (GWAS) have identified numerous loci influencing cross-sectional lung function, but less is known about genes influencing longitudinal change in lung function. METHODS: We performed GWAS of the rate of change in forced expiratory volume in the first second (FEV1) in 14 longitudinal, population-based cohort studies comprising 27,249 adults of European ancestry using linear mixed effects model and combined cohort-specific results using fixed effect meta-analysis to identify novel genetic loci associated with longitudinal change in lung function. Gene expression analyses were subsequently performed for identified genetic loci. As a secondary aim, we estimated the mean rate of decline in FEV1 by smoking pattern, irrespective of genotypes, across these 14 studies using meta-analysis. RESULTS: The overall meta-analysis produced suggestive evidence for association at the novel IL16/STARD5/TMC3 locus on chromosome 15 (P  =  5.71 × 10(-7)). In addition, meta-analysis using the five cohorts with ≥3 FEV1 measurements per participant identified the novel ME3 locus on chromosome 11 (P  =  2.18 × 10(-8)) at genome-wide significance. Neither locus was associated with FEV1 decline in two additional cohort studies. We confirmed gene expression of IL16, STARD5, and ME3 in multiple lung tissues. Publicly available microarray data confirmed differential expression of all three genes in lung samples from COPD patients compared with controls. Irrespective of genotypes, the combined estimate for FEV1 decline was 26.9, 29.2 and 35.7 mL/year in never, former, and persistent smokers, respectively. CONCLUSIONS: In this large-scale GWAS, we identified two novel genetic loci in association with the rate of change in FEV1 that harbor candidate genes with biologically plausible functional links to lung function

The impact of surgical delay on resectability of colorectal cancer: An international prospective cohort study

AIM: The SARS-CoV-2 pandemic has provided a unique opportunity to explore the impact of surgical delays on cancer resectability. This study aimed to compare resectability for colorectal cancer patients undergoing delayed versus non-delayed surgery. METHODS: This was an international prospective cohort study of consecutive colorectal cancer patients with a decision for curative surgery (January-April 2020). Surgical delay was defined as an operation taking place more than 4 weeks after treatment decision, in a patient who did not receive neoadjuvant therapy. A subgroup analysis explored the effects of delay in elective patients only. The impact of longer delays was explored in a sensitivity analysis. The primary outcome was complete resection, defined as curative resection with an R0 margin. RESULTS: Overall, 5453 patients from 304 hospitals in 47 countries were included, of whom 6.6% (358/5453) did not receive their planned operation. Of the 4304 operated patients without neoadjuvant therapy, 40.5% (1744/4304) were delayed beyond 4 weeks. Delayed patients were more likely to be older, men, more comorbid, have higher body mass index and have rectal cancer and early stage disease. Delayed patients had higher unadjusted rates of complete resection (93.7% vs. 91.9%, P = 0.032) and lower rates of emergency surgery (4.5% vs. 22.5%, P < 0.001). After adjustment, delay was not associated with a lower rate of complete resection (OR 1.18, 95% CI 0.90-1.55, P = 0.224), which was consistent in elective patients only (OR 0.94, 95% CI 0.69-1.27, P = 0.672). Longer delays were not associated with poorer outcomes. CONCLUSION: One in 15 colorectal cancer patients did not receive their planned operation during the first wave of COVID-19. Surgical delay did not appear to compromise resectability, raising the hypothesis that any reduction in long-term survival attributable to delays is likely to be due to micro-metastatic disease

Experimental Investigation of Material Removal Rate and Surface Roughness in Turning of EN9 Alloy steel using Taguchi Method

High productivity is the basic need of any manufacturing industry nowadays because of high quality product demand and cost efficiency. Turning is the basic operation in manufacturing and to optimize the process, the output parameters like material removal rate that is to be maximized and surface finish which is to be minimized, must be assessed at close look. The study shows the effect of input parameters (cutting speed, depth of cut and feed rate) on the parameters of the turning process. Three levels of each parameter are selected within the operating range and the experimental runs are performed according to Taguchi’s L-27 orthogonal array. The turning of EN9 specimen is carried out on CNC lathe. The material removal rate is found out by weight difference method and surface roughness is measured by 301 Mitutoyo surface roughness meter. After plotting the main effect charts and analyzing with ANOVA, it is found out that MRR is affected most by depth of cut and then feed rate. On the other hand, surface roughness is most affected by feed rate and then depth of cut. Cutting speed has statistically negligible effect on both the parameters. The study suggests optimum range of parameters that would give an efficient turning process.