Free energies of hydration of some organic compounds

The study of the properties of solutions has been one of the most important branches of physical chemistry since the seventeenth century. In spite of the enormous volume of work that has been done in this field, it is a fact that in only a very few simple cases can the experimental properties of the solutions be predicted from the theoretical considerations. In this thesis a study is made of binary solutions of which one of the components is water. Before the properties of mixtures are considered, it is necessary first to discuss the characteristics of pure liquids. Liquids have been classified:- (1) normal, which have low dielectric constants and conform to the number of rules concerning surface tensions, heats of vaporisation, etc., (2) abnormal, which have again abnormally high dielectric constants, surface tension and heats of vaporisation than would be expected on the basis of normal liquids. This has been explained by the fact that the molecules in liquids are non-polar and polar, i.e., the latter possess permanent electric dipoles while in the former the centres of the positive and negative charges coincide. Attempts have therefore been made from time to time to distinguish between these types of liquids

PERCEIVED SOURCES OF STRESS AMONG BIOALLIED SCIENCE STUDENTS OF SOUTH INDIA

Health care profession is considered a stressful occupation. Stress in these professions is not just confined to their practice, but is experienced by students within the same academic environment. Stress among students of bioallied sciences (Dental, Nursing, Pharmacy & Ayurvedic) is associated with cognitive impairment and is detrimental to health. Objective: To know the sources of stress among bioallied science students. Methods: A cross sectional study design using a modified version of Dental Environment Stress questionnaire (DESQ) was used to assess the stress among Dental, Pharmacy, Ayurvedic and Nursing students. Results: Dental students showed higher stress domains, followed by Nursing, Pharmacy students being the least. Conclusion: The findings of this study do not support that student of dental, & allied sciences experience high stress levels overall but, they have important issues and stress level vary according to that for each profession

Genetic variability, combining ability and molecular diversity-based parental line selection for heterosis breeding in field corn (Zea mays L.)

Financiado para publicación en acceso aberto: Universidade de Vigo/CISUGBackground: The demand of maize crop is increasing day by day, hence to reduce the production and demand gap, there is a need to extract the high yielding parental lines to improve per se yield of the hybrids, which could help to enhance the productivity in maize crops. Methods and results: The present investigation was carried out to select the best medium maturing inbred lines, among a set of 118 inbred lines. Based on the Duncan multiple range test, out of 118 lines, 16 inbred lines were selected on the basis of its high yield per se and flowering time. The molecular diversity was carried out using SSR markers linked to heterotic QTL and up on diversity analysis it classified selected genotypes in to three distinct groups. Among the selected inbred lines, a wider genetic variability and molecular diversity were observed. A total of 39 test crosses were generated after classifying 16 inbred lines in to three testers and thirteen lines (based on per se grain yield and molecular diversity) and crossing them in line × tester manner. Conclusion: Combining ability analysis of these parental lines showed that female parents, PML 109, PML 110, PML 111, PML 114 and PML 116 showed additive effect for KRN and grain yield, whereas male parents, PML 46, and PML 93 showed epistatic effect for KRN and PML 102 showed epistatic effect for grain yield. The generated information in the present investigation may be exploited for heterosis breeding in filed corn. Key messages To tackle the balanced dietary requirement of Indian population; we focused to enhance the productivity of maize hybrids using genetically broad based, elite, diverse inbred lines. Combination of selection criterion, not only augment the productivity but also improves the quality of hybrid/s

Perspectives of San Juan healthcare practitioners on the detection deficit in oral premalignant and early cancers in Puerto Rico: a qualitative research study

<p>Abstract</p> <p>Background</p> <p>In Puerto Rico, relative to the United States, a disparity exists in detecting oral precancers and early cancers. To identify factors leading to the deficit in early detection, we obtained the perspectives of San Juan healthcare practitioners whose practice could be involved in the detection of such oral lesions.</p> <p>Methods</p> <p>Key informant (KI) interviews were conducted with ten clinicians practicing in or around San Juan, Puerto Rico. We then triangulated our KI interview findings with other data sources, including recent literature on oral cancer detection from various geographic areas, current curricula at the University of Puerto Rico Schools of Medicine and Dental Medicine, as well as local health insurance regulations.</p> <p>Results</p> <p>Key informant-identified factors that likely contribute to the detection deficit include: many practitioners are deficient in knowledge regarding oral cancer and precancer; oral cancer screening examinations are limited regarding which patients receive them and the elements included. In Puerto Rico, specialists generally perform oral biopsies, and patient referral can be delayed by various factors, including government-subsidized health insurance, often referred to as Reforma. Reforma-based issues include often inadequate clinician knowledge regarding Reforma requirements/provisions, diagnostic delays related to Reforma bureaucracy, and among primary physicians, a perceived financial disincentive in referring Reforma patients.</p> <p>Conclusions</p> <p>Addressing these issues may be useful in reducing the deficit in detecting oral precancers and early oral cancer in Puerto Rico.</p

An effective analysis of palm print detection using Resnet framework in comparison with Recurrent Neural Network to improve classification accuracy

The goal of the proposed study is to use ResNet rather than a novel recurrent neural network to identify plant diseases with greater classification accuracy. Materials and Methods: The detection of plant disease is performed using ResNet and Recurrent Neural Network algorithms. The sample size for each sample is considered as 10 which is performed with a G power calculator. Results: The ResNet algorithm exhibited better results with classification accuracy of 95% compared to that of Novel Recurrent Neural Network with accuracy of 85%. The insignificant accuracy value of p=0.139 (p>0.05) is attained through SPSS Statistical Analysis. Conclusion: The classification of plant disease using ResNet is better than the Novel Recurrent Neural Network