Prevention Of Median Nerve Neuropathy in Long-Term Computer Users: A Comparative study

INTRODUCTION: Long term computer users who exhibited symptoms of median nerve neuropathy were observed for the effectiveness of neural muscular mobilization relaxation technique, isometric intrascapular strengthening of shoulder muscles and posture correction with some ergonomic modification. MATERIALS AND METHODS OF STUDY: Thirty long-term computer users between ages 30 to 45 years were identified and selected for the study. The inclusion criteria were the computer users having worked for more than 8 hours per day, 5-6 days per week on a regular basis for more than 10 years. Study duration 4 weeks. The sample should be positive in upper limb nerve tension test (ULNTT). The entire sample would be categorized per the symptoms they manifest, namely: 1. Pain, 2. Numbness and/or tingling, 3. Muscle weakness. Inclusion criteria: 1. Both gender, 2. Pain, 3. Numbness, 4. Paraesthesia, 5. Nerve entrapment. 6. Positivity to upper limb nerve tension testing. Exclusion criteria: 1. Any central or peripheral nervous system disease. 2. Systemic arthritis. 3. Tumors. 4. Sensory defects. CONCLUSION: Median nerve mobilization techniques significantly reduced intensity of pain and increased painless range of motion in subjects as compared to those that received conservative muscle strengthening exercises

A STUDY ON CONSUMER AWARENESS AND PERCEPTIONS TOWARDS ORGANIC FOOD PRODUCTS WITH SPECIAL REFERENCE TO COIMBATORE DISTRICT

Dr. D. Divya Prabha, “A Study on Consumer Awareness and Perceptions towards Organic Food Products with Special Reference to Coimbatore District”, International Journal of Current Research and Modern Education, Volume 2, Issue 2, Page Number 217-222, 2017

Probabilistic XGBoost Threshold Classification with Autoencoder for Credit Card Fraud Detection

Due to the imbalanced data of outnumbered legitimate transactions than the fraudulent transaction, the detection of fraud is a challenging task to find an effective solution. In this study, autoencoder with probabilistic threshold shifting of XGBoost (AE-XGB) for credit card fraud detection is designed. Initially, AE-XGB employs autoencoder the prevalent dimensionality reduction technique to extract data features from latent space representation. Then the reconstructed lower dimensional features utilize eXtreame Gradient Boost (XGBoost), an ensemble boosting algorithm with probabilistic threshold to classify the data as fraudulent or legitimate. In addition to AE-XGB, other existing ensemble algorithms such as Adaptive Boosting (AdaBoost), Gradient Boosting Machine (GBM), Random Forest, Categorical Boosting (CatBoost), LightGBM and XGBoost are compared with optimal and default threshold. To validate the methodology, we used IEEE-CIS fraud detection dataset for our experiment. Class imbalance and high dimensionality characteristics of dataset reduce the performance of model hence the data is preprocessed and trained. To evaluate the performance of the model, evaluation indicators such as precision, recall, f1-score, g-mean and Mathews Correlation Coefficient (MCC) are accomplished. The findings revealed that the performance of the proposed AE-XGB model is effective in handling imbalanced data and able to detect fraudulent transactions with 90.4% of recall and 90.5% of f1-score from incoming new transactions

Studies on pyrolytic conversion of waste plastic carry bags into plastic crude oil

The utilization of plastic carry bags in our modern life is increasing every year and also increasing pressure on safe disposal of these bags. Worldwide the disposal of these kinds of plastic wastes is becoming serious issue due to their non-degradable nature. The main aim of this study is to exploit the potential of waste plastic carry bags for the production of plastic crude oil by using non-electric pyrolytic unit. The heat required for pyrolysis process supplied from biomass gas stove and coconut shell used as combustible fuel. To optimize the heating conditions for higher plastic crude oil recovery, different quantities of coconut shell were utilized and the maximum recovery of plastic crude oil was recorded. The yield of crude oil ranged from 34.5 to 40.7 per cent for the reaction temperature ranged from 457 to 517 °C. For 4 kg fuel supplied as heating source, the crude oil recovered was 40.7 per cent at a reaction temperature of 486 oC and residence time of 58 min. The calorific value of the waste plastic carry bags and plastic crude oil was found to be 34.4 and 38.6 MJ/kg, respectively

Humoral Immune Response in Tuberculous Pleuritis

Tuberculous pleuritis is a good human model to understand the local and protective immune response against tuberculosis, due to the self-limitedness of the disease. Although the cellular immune response has been well characterised in tuberculous pleurisy, much less is known about the humoral immune response operating at the site of infection. To understand the humoral immune response, B cells were enumerated in peripheral blood mononuclear cells (PBMC) and pleural fluid mononuclear cells (PFMC) of tuberculous (TP) and non-tuberculous pleuritis patients (NTP). The levels of IgG, IgA and IgM antibodies for PPD, culture filtrate (CF) and sonicate antigens (Son Ag) were assessed in plasma (BL) and pleural fluid (PF) and a western blot was carried out with the CF antigen. The percentage of CD19+B-cells was similar in PBMC and PFMC of TP patients but was significantly lower in PFMCs of NTP patients. The IgG levels for PPD and CF antigens were higher in PF of TP than NTP patients. The antigen recognition patterns did not differ in plasma and pleural fluid of the same patient in both groups pointing out the passive diffusion of the plasma to the pleura. The antigens 25, 31, 33, 70, 110, 124 and 132 kDa were recognized exclusively by the TP patients. Thus our study showed that the local humoral response in TP did not differ from the systemic response. However, the humoral response differed in TP patients when compared to NTP patients

DESIGN OF COX-2 INHIBITORS-AN IN-SILICO APPROACH

Objective: The aim of the present work was to design the novel series of chalcone derivatives of indane-1,3-dione for its inhibition towards COX-2. Methods: COX-2 inhibitors were designed on the binding ability of the compounds with the target. Docking analysis was performed using Acclerys discovery studio 3.5. Molecular properties, ADME parameters, Toxicity parameters were analysed using the same in-silico tool. Results: Most of the designed compounds were possessing good binding affinity towards the COX-2. Other in-silico parameters such as ADMET and TOPKAT were within the appreciable range. Among all the designed compounds several compounds possess good CDOCKER energy and CDOCKER interaction energy with specific amino acid indicating that it could possess good binding with the target. Most of the design compounds could act as COX-2 because it forms hydrogen bonding with ARG120. Conclusion: Compound l possess good binding affinity indicating that the presence of hydroxyl group in the phenyl ring possess good activity which can be further optimized for its druggabality after its pharmacological activity. Â&nbsp

In vitro cytokine response to tuberculosis

The outcome of any infectious disease is mainly dependent upon the interplay of the cytokines. These cytokines are grouped into two: Type land Type 2 cytokines secreted by Th1 and Th2 cells that contribute to the pro-inflammatory and anti-inflammatory responses respectively