Risk of burnout syndrome and explore the factors influencing burnout among nurses in selected hospitals at Himachal Pradesh

Background: Nurses burnout is a common occurrence marked by a decrease in a nurse's energy, which displays as emotional tiredness, a lack of desire, and emotions of dissatisfaction, as well as a decrease in work efficacy. The aim of study was to assess the risk of burnout syndrome and explore the factors influencing burnout among nurses who are working in emergency ward and critical care units.Methods: The descriptive design was adopted and the sample was selected by non-probability convenient sampling technique. The sample comprises of 200 nurses from emergency and critical care units were selected. The data was gathered by using a 5-point Likert scale and a checklist.Results: The majority of the participants 95 (47.5%) were had high risk of burnout related to physical and psychological exhaustion whereas in self detachment majority of the participants 111 (55.5%) were had high risk of burnout and most of the study participants 101 (50.5%) were had high risk of burnout in self-realization. The risk of burnout syndrome was significant with designation, shift of duty, work overload and attended any workshop, continuing nursing education (CNE), and conference related to burnout syndrome (p<0.05).Conclusions: There was high risk of burnout identified among critical care units and emergency ward nurses. To lessen the severity of burnout, a preventive and therapeutic plan is required like maintain a safe working environment to prevent incidents, provide adequate resources to prevent stress caused by the shortage of staff, rotate nursing staff to work in other wards for professional development and promote open communication to allow team work

Relative estimation of scattering noise and its utility to select radiation detector for Gamma CT scanner

This study investigates two unavoidable noise factors: electronic noise and radiation scattering, associated with detectors and their electronics. This study proposes a novel methodology to estimate electronic and scattering noise separately. It utilizes mathematical tools, namely, Kanpur theorem-1, standard deviation, similarity dice coefficient parameters, and experimental Computerized Tomography technique. Four types of gamma detectors: CsI (Tl), LaBr_3 (Ce), NaI (Tl) and HPGe are used with their respective electronics. A detector having integrated circuit electronics is shown to impart significantly less (~33% less) electronic noise in data as compared to detectors with distributed electronics. Kanpur Theorem-1 signature is proposed as a scattering error estimate. An empirical expression is developed showing that scattering noise depends strongly on mass attenuation coefficients of detector crystal material and weakly on their active area. The difference between predicted and estimated relative scattering is 14.6%. The methodology presented in this study will assist the related industry in selecting the appropriate detector of optimal diameter, thickness, material composition, and hardware as per requirement.Comment: 9 Figures and 15 Page

Solid state fermentation of BSG for citric acid production

Brewers' spent grain (BSG) is the major by-product of the brewing industry, representing around 85 % of the total by-products generated. BSG is a lignocellulosic material containing about 17 % cellulose, 28 % non-cellulosic polysaccharides, chiefly arabinoxylans, and 28 % lignin. Nevertheless, due to its high content of protein and fibre (around 20 and 70 % dry basis, respectively), it can also serve as an attractive adjunct in human nutrition. The present investigation was carried out on citric acid production from Brewer’s spent grain using Aspergillus niger. The chemical qualitative characterization of Brewer’s spent grain showed that it contained a considerable amount of carbohydrate (6.4 %) and protein (20 %) that could be a good source for microorganism’s growth and metabolic activities. Effect of different supplements was studied on solid state fermentation of Brewers’ spent grain. Among the different constituents, the organic nitrogen that is peptone was found to give significant results at 0.1 % concentration which increases the citric acid production up to 0.19 % as compared to yeast extract which did not give significant result in the fermentation medium. The effect of inorganic constituents on the fermentation showed that potassium dihydrogen phosphate was also found best at 0.1 % which led to increase in the production of citric acid i.e (0.22 %). The mineral constituents such as ammonium sulphate and magnesium sulphate were found effective at 0.1 % concentration. From this investigation, it can be concluded that BSG can be used as a cheap raw material for the production of citric acid by A. niger

OSEMN Approach for Real Time Data Analysis

Data analysis system is the study of people opinions, sentiments, attitudes, and emotions expressed through written language. Sentiment analysis is just a part of it in this system we compare the accuracy result of two languages sentiment analysis. If we saw than sentiment analysis is one of the most active research areas. It is popular because of two reasons. First, it has a big range of applications because opinions are center of almost all human activities and it shows our behaviours. Whenever we make a decision, we have to heard other’s opinions as well. Second, it presents many challenges research problems, which had never been strive before the year 2000. Part of the reason for the lack of study before was that there was small dogmatic text in digital forms. There is no surprise that the establishment and the rapid growth in the field coincide with the social media on the Web. In fact, the research has also increase outside of computer science to manage science and social science due to its importance to business and society as a whole. Information analysis system is the system in which we measure the accuracy rate of both languages chirps. The main thing is this that this project is a newly formed project. We can say that sentiment analysis is just a part of it for that we have to understand what is sentiment classification and analysis. So Sentiment classification is a way to inspect the personal data in the chirps or data and then extract the opinion. Chirps analysis the method by which information is withdraw from the opinions, and emotions of people in regards to things. During decision taking the opinion of other person shave a drastic effect on users or customers ease because they make choices regarding to e-shopping, choosing events, products, things. The approaches towards chirps analysis work according to a particular level, document level. This paper aims at analysing a solution for the sentiment classification at a powdery, mainly in the sentences in which the polar nature of the chirps or sentences given by three categorization name as positive ,negative and neutral

Case Study On Rubella Virus

The infection caused by Rubella virus is also known by the name of German measles. The number of birth defects might develop in the fetus of a rubella virus infected woman during the early stage of pregnancy. These defects are termed as congenital rubella syndrome (CRS).There is also possibility that the infection due to virus can lead to abortions. The study was conducted to find out the cases of CRS among the pregnant women. A combined vaccine against measles, mumps, and rubella was licensed for use for the first time in the year 1971 in the United States. The report from the data collected in the various studies have proved the rubella infection to be the cause for about 3-5 percent of all suspected CRS cases in India. A questionnaire was prepared and pregnant women as well as female of child-bearing age were asked about the rubella vaccination. In the research survey, more than 1000 females were involved in different areas and age-groups. It was concluded that very less or negligible data is available related to awareness about the routine immunization among the common people of India. Thus, it is required to conduct more research in this field and make people more and more aware about the harmful effects of not being vaccinated at the proper age. Indians need to collect reliable and accurate data to prioritize and tackle the serious consequences of CRS. &nbsp

Studying Human Relationships in the Short Stories of Bhabani Bhattacharya

Bhabani Bhattacharya is a kind of author who writes mostly on human relationships. In Steel Hawk and other Stories which were published in 1968 there are various such kind of stories. His themes are traditional but new because he has a different and innovative way of writing. His characters are also very interesting and they are influenced from real human societies. This realistic and idealistic approach is very uncommon. In A moment of Eternity we can see a fine blend of realism and idealism. This shows that how he uses the traditional human values as a raw material for his short stories. His experiments with traditional values of life are full of new possibilities and hopes. In some cases we can also find that his characters are alienated and repressed but still there is some sense of optimism in their lives. If they reflect pessimism then this can be a chance of learning for readers. Bhabani Bhattacharya believes that a writer must not impose his school of thoughts on his readers. So in his short stories readers are free to analyze the different situations of life. The story like public figure shows that how a man can change in life. This changing is not normal as it can lead him to identity crisis which can be painful. After reading his short stories we can easily locate that there is a kind of synthesis between modernism and traditionalism in most of his writings. Stories like the steel hawk, The Acrobats , Names are not table’s and the quack are noteworthy as they reflect real life situations. They are not simply stories but they present the way by which life can treat an individual. It also shows a better craftsmanship of the author

Noise analysis, error estimates, and Gamma Radiation Measurement for limited detector computerized tomography application

Computed Tomography is one of the efficient and vital modalities of non-destructive techniques (NDT). Various factors influence the CT reconstruction result, including limited projection data, detector electronics optimization, background noise, detection noise, discretized nature of projection data, and many more. Radiation hardening and other aging factors that affect the operational settings may require recalibration of electronics parameters. Two well-known exercises are utilized with the motivation to improve reliability and accuracy in inverse recovery. The first exercise brute-forces an optimal candidate from the set of calibration methods for minimum error in inverse recovery. The second exercise, Kanpur Theorem-1 (KT-1) examines if optimal calibration sets electronics to impart minimum noise. The mutual conformity between statistics-derived CLT and Riemann integral transform-based KT-1 is shown first time using gamma radiation measurement. The analysis shows that measurement data with normal distribution inflicts the least noise in inverse recovery.Comment: 6 pages, 6 figures, 1 Tabl

Optimizing agrivoltaics electricity generation in Sweden : A techno-economic analysis of latitude-dependent design systems

Agrivoltaics have emerged as a viable solution to address the trade-off occurring between the use of land for the cultivation of food and generation of electricity, both of which are essential to humanity. This degree project carried out a techno-economic analysis to assess the impact of optimizing technical parameters on the energy generated by vertical configuration agrivoltaic systems. A simulation was conducted on a 1-hectare land area at varying row distances (5m, 10m, 15m, and 20m) corresponding to different system capacities of 455.9kWp, 227.9kWp, 136.74kWp, and 117.6kWp respectively, along with varying clearance height (0.5m, 1m, and 1.5m), azimuth angles between -90° and 90°, and locations: Västerås, Visby, Lund, Skövde, and Kalmar. The findings highlight the optimal conditions for maximizing specific production (kWh/kWp/year), system production (MWh/year), and financial indicators. In conclusion, 227.9kWp agrivoltaics system at 10m row distance and 1m clearance height, is observed to achieve a balance between system production and specific production, as well exhibiting higher economic profitability. Additionally, Visby among all selected study locations, had the highest electricity production due to its longer sun hours. Keywords: Agrivoltaics, System production, Specific production, Optimization, Row distance, Clearance height, Azimuth angle, Techno-economic analysis, Sun hour

Performance of Different F1 Hybrids of Cucumber (Cucumis sativus L.) on Growth, Yield and Quality

The present investigation was carried out at the Department of Horticulture, Naini Agricultural Institute, Sam Higginbottom University of Agriculture Technology and Sciences, Prayagraj, Uttar Pradesh during the Kharif season 2022-2023 with a view to check performance of different Hybrids of cucumber under Prayagraj agro climatic conditions and to estimate economics of different hybrids of cucumber. Hybrids comprised of V1 (J K Manali), V2 (Malini), V3 (NBH-Manvi plus), V4 (USM- Rani (01), V5 (Nazia F1), V6 (KSP 1665 Power), V7 (Shagun), V8 (Super green) and V9 (NBH-842). Among different hybrids of cucumber hybrid super green performed best in terms of growth parameters like vine length, number of branches, flowering parameters like earliness in flowering and maturity, male female ratio and yield parameters like fruit length, fruit diameter, and fruit yield per vine. The hybrid super green also had high TSS and Vitamin C content. Maximum BC ratio was obtained in hybrid super green with value of 2.96

Optimizing agrivoltaics electricity generation in Sweden : A techno-economic analysis of latitude-dependent design systems

Agrivoltaics have emerged as a viable solution to address the trade-off occurring between the use of land for the cultivation of food and generation of electricity, both of which are essential to humanity. This degree project carried out a techno-economic analysis to assess the impact of optimizing technical parameters on the energy generated by vertical configuration agrivoltaic systems. A simulation was conducted on a 1-hectare land area at varying row distances (5m, 10m, 15m, and 20m) corresponding to different system capacities of 455.9kWp, 227.9kWp, 136.74kWp, and 117.6kWp respectively, along with varying clearance height (0.5m, 1m, and 1.5m), azimuth angles between -90° and 90°, and locations: Västerås, Visby, Lund, Skövde, and Kalmar. The findings highlight the optimal conditions for maximizing specific production (kWh/kWp/year), system production (MWh/year), and financial indicators. In conclusion, 227.9kWp agrivoltaics system at 10m row distance and 1m clearance height, is observed to achieve a balance between system production and specific production, as well exhibiting higher economic profitability. Additionally, Visby among all selected study locations, had the highest electricity production due to its longer sun hours. Keywords: Agrivoltaics, System production, Specific production, Optimization, Row distance, Clearance height, Azimuth angle, Techno-economic analysis, Sun hour