Diabetic Prediction Using Hybrid Smote-Tree Big Data Classification with Artificial Neural Network

Diabetes is one of the worst illnesses now plaguing humanity. The condition is caused by the body's abnormal reaction to insulin, a vital hormone that transforms sugar into the energy required for the normal functioning of daily living. In addition to increasing the chance of developing kidney disease, heart disease, and retinal eye disease, nerve damage, and blood vessel damage, diabetes causes serious consequences in the body. This research provides diabetes prognosis based on hybrid SMOTE-TREE large data categorization utilizing Artificial Neural networks (ANN). Artificial Neural Networks deliver promising results for nonlinear data. Hence ANN is picked for creating the model to predict diabetes among numerous ML (machine learning) techniques. The goal is to develop a decision support system to predict and diagnose diabetes with maximum accuracy, given the parameters. The parameters are set such that the best accuracy is obtained

The role of social tags in web resource discovery: an evaluation of user-generated keywords

Social tags are user generated metadata and play vital role in Information Retrieval (IR) of web resources. This study is an attempt to determine the similarities between social tags extracted from LibraryThing and Library of Congress Subject Headings (LCSH) for the titles chosen for study by adopting Cosine similarity method. The result shows that social tags and controlled vocabularies are not quite similar due to the free nature of social tags mostly assigned by users whereas controlled vocabularies are attributed by subject experts. In the context of information retrieval and text mining, the Cosine similarity is most commonly adopted method to evaluate the similarity of vectors as it provides an important measurement in terms of degree to know how similar two documents are likely to be in relation to their subject matter. The LibraryThing tags and LCSH are represented in vectors to measure Cosine similarity between them

Challenges and Opportunities in 4D Printing -An Application Perspective

Over the last ten years, 3D printing technology has played a pivotal role in transforming the manufacturing industry. A recent advancement within the realm of 3D printing has introduced time as a fourth dimension, enabling the creation of 4D printing components. While a 3D-printed design remains static, a 4D-printed design has the remarkable ability to change its shape in response to environmental conditions. This paper also examines various applications of 4D printing across diverse fields such as electronics, renewable energy, aerospace, food, healthcare, and fashion. The review addresses research gaps, the current obstacles in 4D printing, and the future prospects of this technology

Critical review on Naasapana with special reference to the management of Apabahuka

Ayurveda the science of life, not only deals with the prevention of diseases there by to maintain health but also with the alleviation of diseases. The unique position of man as a master mechanic of the animal kingdom is because of skilled movements of his hands and when this shoulder joints get obstructed, we call it as Apabahuka. While looking into comprehensive management of Apabahuka, Nasya, Uttarabhouktika Snehapaana Sweda, Raktamokshana etc. are commonly in practise, but Naasapana a special procedure explained in Vatavyadhi Chikitsa of Chakradatta with Dashamooli Bala Masha Kwatha is rarely in practise. This article enlightens about practise of Naasapana in the management of Apabahuka

A Study on Frozen Shoulder and its clinical management through Nasaapana and Nasya

The unique position of man as a master mechanic of the animal kingdom is because of skilled movements of his hands and when this shoulder joints get obstructed, we call it as Apabahuka (Frozen shoulder), we do not find satisfactory management in modern medical science. Various effective treatment modalities have been mentioned which reverse the pathogenesis, Shodhana is advised initially followed by Shamana therapies. In the present study 30 patients were selected incidentally and placed randomly into two groups A and B, with 15 subjects in each group. Group A received Amapachana with Panchakola Churna, Jambeera Pinda Sweda and Nasya Karma. Group B received Amapachana with Panchakola Churna, Jambeera pinda Sweda and Nasaapana. In both the groups two months follow up was done. Both groups showed significant improvement in the signs and symptoms of Apabahuka as well as the activities of daily livings, thereby improving the quality of life of the patients. Nasya Karma and Nasaapana provided highly significant results in all the symptoms of Apabahuka. In the present study as per the clinical data, Nasaapana is found to be more effective than Nasya Karma

DIELECTRIC STUDIES IN Li2O AND CoO DOPED BOROPHOSPHATE GLASSES

Borophosphate glasses in the compositions, (B2O3)0.2 . (P2O5)0.3 . (Li2O) 0.5-X . (CoO) X, wherex = 0.05, 0.1, 0.15, 0.25, 0.30, 0.35, 0.40 and 0.45 were prepared at 1400K by following melt quenching method. Their amorphous nature was confirmed by XRD studies and was investigated for dielectric properties in the frequency range from 100Hz to 1MHz and temperature range from 300K to 573K. The conductivity was derived from the dielectric spectrum. The frequency exponent, s, dc and ac components of the conductivity were determined. The temperature dependence of conductivity at different frequencies was analyzed using Motts small polaron hopping model, and the high temperature activation energy has been estimated and discussed. The variation of conductivity and activation energy with composition revealed a changeover of conduction mechanism from predominantly ionic to electronic regime for mole fractions of CoO between 0.3 and 0.35. This is a new result. Hunts model has been employed to analyze frequency dependence of conductivity. Relaxation features of the dielectric properties have been extracted from the analysis of electric moduli with frequency. Activation energy for relaxation mechanism has been determined. Frequency exponent was found to be temperature dependent. Quantum mechanical theory and correlated barrier hopping models were found to be inadequate to explain frequency exponent behavior with temperature. For the first time that borophosphate glasses doped with Li2O and CoO were studied for dielectric properties and ac conductivity as a function of temperature and frequency and the data has been analysed thoroughly.  &nbsp

Prescription pattern in indoor patients of cardiovascular diseases: a descriptive study in a tertiary care hospital attached to a government medical college

Background: In India, one of the leading causes of death is cardiovascular diseases (CVDs). The study of prescription pattern ensures rational pharmacotherapy and assures quality medical care to the patients. Hence the present study was conducted to observe the prescription pattern of drugs among the indoor patients of cardiovascular diseases in a tertiary care hospital attached to a Government Medical college.Methods: A retrospective observational study of 9 month duration was undertaken from January- September 2015. A total number of 113 indoor cardiovascular disease patients’ case sheets were utilized for our study from medicine and ICCU department of a tertiary care hospital. The data was analysed and the results were expressed as counts and percentage.Results: Of 113 patients, most of the patients were of the age group of 56-65 years (40.71%). The prevalence of CVDs was higher in females (56.64%) than males (43.36%). Hypertension (58.41%) and Ischemic heart disease (41.59%) were found to be predominant CVDs. Nifedipine (53.10%), Atenolol (31.86%), Isosorbide dinitrate (40.71%), Atorvastatin (53.10%) were the most commonly prescribed cardiovascular drugs. Aspirin and Clopidogrel combination was prescribed in 46.90% of CVD patients. The average number of drugs per prescription was 6.53.Conclusions: The present study shows that most of drugs were prescribed rationally according to the current treatment guidelines except the under use of ACEIs and ARBs in hypertensive diabetes mellitus patients. Standard treatment guidelines should be circulated among practicing physicians to encourage rational prescription

Current trends in highly active anti-retroviral therapy in an anti-retroviral therapy centre attached to a remote government medical college of Maharashtra, India: a retrospective study

Background: Highly active anti-retroviral therapy (HAART) became the keystone of national AIDS program. There is lack of awareness and inadequate training about drug safety monitoring among health care professionals in India. Hence, the present study was carried out to study current trends in HAART and pattern of associated adverse drug reactions.Methods: A retrospective observational study was conducted at an anti-retroviral therapy (ART) Centre. A total of 151 HIV/AIDS Patients (old and new cases) receiving HAART during July 2015 to December 2015 were randomly included in the study. Causality and severity assessment of adverse drug reactions (ADRs) was done by using Naranjo’s ADR causality scale and modified Hartwig and Siegel scale respectively. The data was computed using MS Excel and descriptive results were expressed as counts and percentages. The study was approved by institutional ethics committee.Results: The prevalence of HIV/AIDS infection was higher in adult males (51.66%). Zidovudine+lamivudine+nevirapine (ZLN) was the most commonly prescribed HAART combination. Out of 132 ADRs reported, 76.52% of the ADRs were related to haematological system and ZLN was the commonest combination causing ADRs. 90.91% ADRs belong to possible category on causality assessment and 68.94% of the ADRs were of moderate severity. Tuberculosis (28.47%) was the commonest diagnosed opportunistic infection among the HIV/AIDS patients.Conclusions: The prescribing pattern of HAART regimens was in accordance with national guidelines for antiretroviral therapy. We recommend a pharmacovigilance system for sustainable management of ADRs in HIV/AIDS patients as we found under reporting of ADRs

Study of current prescribing pattern of antimicrobial drugs in indoor cases of enteric fever in a tertiary care hospital

Background: Rational antibiotic prescription is very important to prevent antimicrobial resistance. Hence the present study was conducted to evaluate the prescribing pattern of antimicrobial drugs in indoor enteric fever patients of medicine and paediatric department of a tertiary care hospital.Methods: A retrospective study of 2 months duration was undertaken during July and August of 2015. A total number of 97 enteric fever patients’ case sheets were utilized for our study from medicine and paediatric in-patients department of a tertiary care hospital. The data was analysed and results were expressed as percentage.Results: Out of 97 enteric fever patients, 54.64% were females. 13.4% of paediatric population were suffered because of enteric fever. The incidence of enteric fever was 74.23% in 13-40 years. Most commonly prescribed antimicrobials were 3rd generation cephalosporins and fluoroquinolones. 43.30% patients received more than one antibiotic. Antimalarials chloroquine, artemisinin derivatives and metronidazole were other drugs prescribed to enteric fever patients concurrently for associated clinical conditions.Conclusions: Interventional programme should focus on the use of rational antibiotic prescription aimed at minimizing unnecessary cost, adverse drug reactions and emergence of bacterial resistance

Design and Fabrication of Self-Charging Bi-Cycle with Power Saving Application using Solar Panel

With the increase in fuel prices, pollution content in atmosphere and due to gradual end of the nonrenewable sources of energy we have to alter the source of our energy in our vehicles. Now a day’s Bicycles are more commonly used by the youngsters and school students.  At the same time demand of electricity is vital problem in these days and that of the humans becoming tired when pedalling the bicycles to reduce all these problems. We are implementing a self-charging bicycle. The model converts mechanical energy into electrical energy without pollution.