A Study on Simulation Methods in Academic Success With Reference To Teaching Biology for Education Students

The main objective of this study is to determine the utility of simulation methods in biology teaching for nursing students and academic success. 100 students (50 control, 50 experimental) who studied at Srinivasa Teacher Training School, Kalikiri,  Recognised by Sri Venkateswara University, Faculty of Education, Tirupati, AP, India, 2014 -215 academic year participated in this research. In the present study mixed methods approaches were used namely qualitative and quantitative methods. Instructional transaction included the subject of “Biology” in the “daily life and importance” unit. Statistical results (p= 0.01, p<0.001, and p<0.001) of the present study data after obtained the application revealed that the experimental students group were more successful who were taught by simulation method than the students of the control group taught by traditional approaches. Once again the results of the present study evidenced that experimental students who taught by using simulation method were satisfied with simulation-based biology education. Keywords: Biology, Education, Students, Simulation, Technology in Biology and Education

Assessment of Nutritional Status of Boys and Girls in Government School Children in Rompicherla Mandal Andhra Pradesh, India

Nutrition is the intake of food to meet the body’s dietary Needs through different sources namely vegetarian and non-vegetarian foods. Good nutrition and well balanced diet with regular physical activities is acceptable. Poor nutrition leads to reduction in immunity of an individual, in other hand increased levels of nutrition leads susceptible to a wide varieties of disease, damage the physical, mental development and reduced productivity. The purpose of this study is to find the nutritional status of school going boys and girls in Government school children in Rompicherla Mandal, Chittoor District of Andhra Pradesh. As we all know they are the future of our country. In view of the the importance of children health care especially, Indian population consist   approximately forty percent are children and that to under the age of 15 years. To assess the anthropometric indices among children. A total number of 613 Government school going children were selected for the present study.  A complete physical examination of the children was conducted and recorded. In the present study out of total 613 school going children 49.43% had overall normal nutritional status, 24.14 % Grade-I, 16.48 Grade-II and 9.95 had overall Grade-III. 23.59% (92) had Grade-I, Grade-II 16.15% (63) and Grade-III malnutrition 11.80% (46) respectively in boys of study area in the Government Schools. Where as in girls over all 51.12 % (114), 25.11% (56), 17.04% (38) and 6.73% (15) respectively had the malnutrition in the study area. In the present study, nutritional status was found highly related to the personal hygiene and socio economic status. Schools need to provide knowledge and awareness about Personnel hygiene, Nutrition. Keywords: Government schools Nutrition, School Children, Anthropometry, Malnutrition and Dietary intake.

Female Psychology in Sangam Era and in Velliveediyar songs

Sangam literary works are very good and among those works the feminine features given by male writers are completely different from female writers. Writings about women by women is unique both emotionally and socially. Feminist songs are often about demanding identity. It is appropriate to assume that Velliveethiyar is unique among Sangam women singers in her choice of song and style of singing. Sangam era writers in their writings destroys a woman's personal feelings, likes, dislikes, sexual desires, etc. and makes her just as a body. But Velliveethiyar is different from all these writers and she unabashedly poeticises love and lust

FEDRESOURCE: Federated Learning Based Resource Allocation in Modern Wireless Networks

Deep reinforcement learning can effectively deal with resource allocation (RA) in wireless networks. However, more complex networks can have slower learning speeds, and a lack of network adaptability requires new policies to be learned for newly introduced systems. To address these issues, a novel federated learning-based resource allocation (FEDRESOURCE) has been proposed in this paper which efficiently performs RA in wireless networks. The proposed FEDRESOURCE technique uses federated learning (FL) which is a ML technique that shares the DRL-based RA model between distributed systems and a cloud server to describe a policy. The regularized local loss that occurs in the network will be reduced by using a butterfly optimization technique, which increases the convergence of the FL algorithm. The suggested FL framework speeds up policy learning and allows for adoption by employing deep learning and the optimization technique. Experiments were conducted using a Python-based simulator and detailed numerical results for the wireless RA sub-problems. The theoretical results of the novel FEDRESOURCE algorithm have been validated in terms of transmission power, convergence of algorithm, throughput, and cost. The proposed FEDRESOURCE technique achieves maximum transmit power up to 27%, 55%, and 68% energy efficiency compared to Scheduling policy, Asynchronous FL framework, and Heterogeneous computation schemes respectively. The proposed FEDRESOURCE technique can increase discrimination accuracy by 1.7%, 1.2%, and 0.78% compared to the scheduling policy framework, Asynchronous FL framework, and Heterogeneous computation schemes respectively

Microbial production of polyhydroxyalkanoate (PHA) utilizing fruit waste as a substrate

Polyhydroxyalkanoates (PHAs) are polyesters of hydroxyalkanoates synthesized by various bacteria as intracellular carbon and energy storage compounds and accumulated as granules in the cytoplasm of cells. PHA producing bacteria from soil were isolated, characterized and screened by Nile blue staining method. Screened organisms were subjected to  fermentation with glucose as carbon source and low-cost raw material like jambul seed (Syzygium cumini). The strain SPY-1 showed higher amount of PHA accumulation when compared to the other strains and was comparable with that of the reference strain Ralstonia eutropha. The extracted PHA granules were analyzed with Fourier transform infrared (FTIR) spectroscopy and the peak was in the regions of 1650.9, 1728-1288 and 1725-1277, correspond to the stretching of the C=O bond which was similar to the standard Polyhydroxybutyrate (PHB)

Marketing Behaviour of Jasmine Growers

The present study was conducted in select villages of Tirunelveli district of TamilNadu in order to know the marketing behaviour of jasmine growers with a sample size of 120 respondents. The respondents were selected based on proportionate random sampling method. The results of the study revealed that majority of the jasmine growers were using polythene bags for packing the produce and sold their produce through commission agents. More than two - fifths sold their produce in the villages. Majority of the respondents considered ‘immediate payment’ as the main criterion for the selection of market. Majority of the respondents had reported that they were not having sufficient marketing facility

Reliable and Automatic Recognition of Leaf Disease Detection using Optimal Monarch Ant Lion Recurrent Learning

Around 7.5 billion people worldwide depend on agriculture production for their livelihood, making it an essential component in keeping life alive on the planet. Negative impacts are being caused on the agroecosystem due to the rapid increase in the use of chemicals to combat plant diseases. These chemicals include fungicides, bactericides, and insecticides. Both the quantity and quality of the output are impacted when there is a high-scale prevalence of diseases in crops. Plant diseases provide a significant obstacle for the agricultural industry, which has a negative impact on the growth of plants and the output of crops. The problem of early detection and diagnosis of diseases can be solved for the benefit of the farming community by employing a method that is both quick and reliable regularly. This article proposes a model for the detection and diagnosis of leaf infection called the Automatic Optimal Monarch AntLion Recurrent Learning (MALRL) model, which attains a greater authenticity. The design of a hybrid version of the Monarch Butter Fly optimization algorithm and the AntLion Optimization Algorithm is incorporated into the MALRL technique that has been proposed. In the leaf image, it is used to determine acceptable aspects of impacted regions. After that, the optimal characteristics are used to aid the Long Short Term Neural Network (LSTM) classifier to speed up the process of lung disease categorization. The experiment's findings are analyzed and compared to those of ANN, CNN, and DNN. The proposed method was successful in achieving a high level of accuracy when detecting leaf disease for images of healthy leaves in comparison to other conventional methods

Numerical study of non-Newtonian polymeric boundary layer flow and heat transfer from a permeable horizontal isothermal cylinder

In this article, we investigate the nonlinear steady state boundary layer flow and heat transfer of an incompressible Jeffery non-Newtonian fluid from a permeable horizontal isothermal cylinder. The transformed conservation equations are solved numerically subject to physically appropriate boundary conditions using a versatile, implicit, finite-difference technique. The numerical code is validated with previous studies. The influence of a number of emerging non-dimensional parameters, namely with Deborah number (De), surface suction parameter (S), Prandtl number (Pr), ratio of relaxation to retardation times (λ) and dimensionless tangential coordinate (ξ) on velocity and temperature evolution in the boundary layer regime are examined in detail. Furthermore, the effects of these parameters on surface heat transfer rate and local skin friction are also investigated. It is found that the velocity is reduced with increasing Deborah number whereas temperature is enhanced. Increasing λ enhances the velocity but reduces the temperature. The heat transfer rates is found to be depressed with increasing Deborah number, De, and enhanced with increasing λ. Local skin friction is found to be decreased with a rise in Deborah number whereas it is elevated with increasing values of relaxation to retardation time ratio (λ). Increasing suction decelerates the flow and cools the boundary layer i.e. reduces temperatures. With increasing tangential coordinate, the flow is also decelerated whereas the temperatures are enhanced. The simulation is relevant to polymer coating thermal processing. Polymeric enrobing flows are important in industrial manufacturing technology and process systems. Such flows are non-Newtonian. Motivated by such applications, we did the present problem

Fisheries Glossary: English - Hindi

When speaking of the Scientific concepts, as the scientific concepts are well understood in the context of their definition, many words and definition are explained in a few lines in Hindi or in English. A bench mark has been fixed with the Molluscan biology to explain the fisheries contexts. The generic, species names and international concepts have been retained as such and rendered in Devanagari script; in certain cases of binominal nomenclature, taxonomical reference with common names are given. Words and expressions of common interests have also been compared with other fisheries departmental glossaries to bring in equilibrium of words. Selected common fish names have been adopted from regional languages and so also the pan Hindi usages like kayal, kattamaram, chakara, pokkali, bheri etc. We have also tried to add latest and most up to date English words on fisheries to make it acceptable to educational circles and Government departments. In fact this glossary is a compilation of more than eight thousand technical referral terms which we were referring and adding for more than the last 2 decades while enriching the Hindi literature on fisheries