A Study of Financial Performance Appraisal of Life Insurance Corporation of India

Not availabl

Situs inversus

Situs inversus is a rare condition with a genetic predisposition, where in organs are transposed from their normal location to the opposite side of the body with an incidence of 1 in 10000 live births. If Situs Inversus is associated with other congenital anomalies the survival rate is low. So prenatal diagnosis is essential to detect any associated anomalies. During routine fetal autopsies conducted in the department of anatomy, Mysore medical college, Mysore, a rare interesting case of still born baby with gestational age of 20 weeks was observed. Autopsy findings of external examination revealed kyphosis in thoracic region. Thoracotomy revealed heart on the right side (dextrocardia). Laparotomy revealed that the left lobe of liver was bigger than the right. The gall bladder was present on the visceral surface of the left lobe of liver, stomach was on right side, duodenum on left side, pancreas and spleen were on the right side. There was agenesis of right kidney, right ureter and both suprarenal glands. All the above findings correlate with the condition situs inversus. Situs inversus is a rare condition with a genetic predisposition, it’s etiology lies in the mutation of chromosome no 12, which is critical for recognition of right sidedness.1,2 Even though there is transposition of organs in situs inversus, the survival rate is good but if situs inversus is associated with other congenital anomalies the survival rate is low. So prenatal diagnosis is essential to detect any associated anomalies to bring down mortality rate

Comparative Study of Public and Private Sector Tourism With Respect To Tourism Place in Pune

On the off chance that at the national level, the interest of tourism is huge, on the neighborhood level this area presents itself as a fundamental apparatus in territorial advancement, as a way to stay away from provincial desertification and stagnation, fortifying the capability of more undeveloped areas. In this unique situation, public-private organizations assume an essential part in provincial improvement. The point of this paper is to display a hypothetical setting that consolidates distinctive ideas and components to clarify and comprehend the public-private organization marvel in tourism of Pune City. In such a focused part as tourism, organizations ought to create collaborations and accomplish upper hand. Tourism is portrayed just like a part that emerges as one of the business exercises with the best potential for overall development, and as a motor for financial development

Recombinant Mitochondrial Transcription Factor A with N-terminal Mitochondrial Transduction Domain Increases Respiration and Mitochondrial Gene Expression in G11778A Leber's Hereditary Optic Neuropathy Cybrid Cells

Diseases involving mitochondrial defects usually manifest themselves in high-energy, post-mitotic tissues such as brain, retina, skeletal and cardiac muscle and frequently cause deficiencies in mitochondrial bioenergetics. We have developed a scalable procedure to produce recombinant human mitochondrial transcription factor A (TFAM) modified with an N-terminal protein transduction domain (PTD) and mitochondrial localization signal (MLS) that allow it to cross membranes and enter mitochondria through its "mitochondrial transduction domain" (MTD,=PTD+MLS). _In vitro_ studies in a classic mitochondrial disease cell model demonstrated that Alexa488-labeled MTD-TFAM rapidly entered the mitochondrial compartment. MTD-TFAM treatment of these cell lines reversibly increased oxygen consumption (respiration) rates 3-fold, levels of respiratory proteins and mitochondrial gene expression. _In vivo_ results demonstrated that respiration increased to lesser degrees in mitochondria from tissues of mice injected with MTD-TFAM. MTD-TFAM can alter mitochondrial bioenergetics and holds promise for treatment of mitochondrial diseases involving deficiencies of energy production

Comparative study on usefulness of modified WHO Partograph in management of labour at one of the rural teaching institutes of Gujarat, India

Background: Modified WHO Partograph is a simple, inexpensive pre-printed form on which labour observation are recorded. It generally comprises three sections of information: maternal condition, fetal condition and labor progress. To study on usefulness of Modified WHO Partograph in management of labour of low risk women, this indirectly improved maternal and perinatal outcome.Methods: In this study the progress of labour of 150 women with uncomplicated full term pregnancies with cephalic presentation in active labour was studied using modified WHO partograph. 150 historical matched controls comprising of low risk women who delivered without the use of partograph were identified from the labour register and their course of labour studied. The hospital records were studied to obtain the demographic variables. Maternal and perinatal outcome was analyzed for both cases and controls.Results: The emergency cesarean section rate was reduced from 38.7% in controls to 24.7% in cases and both are significant statistically. None of the cases had labour beyond 16 hours, thus indicating significant reduction in prolonged labour. Neonatal intensive care admissions decreased from 18.6% in controls to 6% in cases indicating an improved maternal and neonatal outcome.Conclusions: Modified WHO Partograph work as “early alarming warning system” which help in detecting delayed progress of labour which improves maternal as well as perinatal outcome

ORIGINAL ARTICLE: Identification of Practical Pharmacology Skills Useful for Good Clinical Practice

Background: Awareness about animal ethics is increasing everywhere. This increased awareness coupled with strict regulations discouraging the use of animals for routine experiments have tied the hands of many pharmacologists. They are now forced to develop alternative experiments without using animals. At present, there is acute need to come out with more innovative and useful practical exercises for pharmacology practical sessions. In this background, the present study was undertaken to develop the much-needed alternative experiments. Aims and Objective: To identify new pharmacological practical skills useful for good clinical practice. Material and Methods: A pre-tested questionnaire was administered to 110 doctors of different categories like house surgeons, postgraduate students, assistant professors and professors who are working in a tertiary care hospital. They were asked to give their suggestions regarding new pharmacology practical skills useful for good clinical practice. Statistical analysis: Responses of the participants to the questions asked were tabulated and analyzed. Suggestions given by them were listed out and studied. Results: Use of emergency drugs, dosage calculation, drugs used in pregnancy, case discussions and prescription writing exercises received a lot of support from the participants. Research methodology, cost calculation, animal experiments and interpretation of data of animal experiments did not receive support from the participants. Suggestions given by the participants regarding useful pharmacological skills belonged to the areas like therapeutics, safe use of drugs, recent advances, analysis of information given by the medical representatives and analyzing articles in journals for knowing the efficacy of drugs. Conclusion: Exercises relevant to the clinical practice, as identified in this study, can be introduced as practical pharmacology exercises. Steps are to be taken to highlight the importance of research methodology and pharmaco-economics to the undergraduates

Machine Learning-based Early Detection and Prognosis of the Covid-19 Pandemic

The outbreak of Covid-19 has caused a global health crisis, presenting numerous challenges to the healthcare system with its severe respiratory symptoms and variable presentation. Early and accurate diagnosis of the virus is critical in controlling its spread and reducing the burden on healthcare facilities. To address this issue and relieve the strain on the healthcare system, this paper proposes a machine learning-based approach for Covid-19 diagnosis. Four algorithms were used for analyzing early Covid-19 detection, i.e., logistic regression, random forest, decision tree, and naive Bayes, using a data set of basic symptoms such as fever, shortness of breath, etc. for predicting positive and negative Covid-19 cases. Furthermore, development of a web portal that provides information on global vaccine distribution and the most widely used vaccines by country along with Covid-19 predictions. Our evaluation results demonstrate that the decision tree model outperformed the other models, achieving an accuracy of 97.69%. This study provides a practical solution to the ongoing Covid-19 crisis through an improved diagnosis method and access to vaccination information