Assessment of noise pollution in Haridwar city of Uttarakhand State, India during Kumbh Mela 2010 and its impact on human health

The present study was carried to investigate the noise level at four different locations of Haridwar viz. Singh Dwar, Rishikul, Chandi ghat and Har Ki Pauri during Kumbh Mela 2010. During normal days maximum noise levels were recorded at Chandi ghat i.e. 87.11±0.45 dB (A) in the evening hours and minimum noise levels were recorded at Har Ki Pauri i.e. 60.8±0.89 dB (A) in the morning hours. While during festival days maximum noise levels were at Har Ki Pauri i.e. 88.4 ± 1.65 dB (A) in the evening respectively and Rishikul the least being 54.93±0.53 dB (A) in the morning hours. Noise levels in all the areas were found to be above the ambient noise standard. These high noise levels may have induced headache, annoyance, lack of concentration and other varied effects on human health

Advancements in Deep Learning for Early Detection of Plant Diseases: Techniques, Challenges, and Opportunities in Precision Agriculture

Deep learning (DL) has emerged as a transformative technology in the field of agriculture, revolutionizing various applications such as disease recognition, plant classification, and fruit counting. Compared to traditional image processing techniques, deep learning has demonstrated a remarkable ability to achieve significantly higher accuracy, surpassing the performance of conventional methods.One of the primary advantages of leveraging deep learning in agriculture is its unparalleled capacity to provide more precise predictions, enabling farmers and researchers to make better-informed decisions that lead to improved outcomes. Deep learning models have consistently exhibited impressive performance across a wide range of tasks, including visual recognition, language processing, and speech detection, making them highly suitable for diverse agricultural applications. Furthermore, the success of deep learning in medical imaging has been successfully extended to the agricultural domain. By applying deep learning's powerful capabilities, stakeholders in the agricultural sector can now accurately classify plant species, detect diseases, and identify pests with unprecedented precision. This advancement has the potential to drive significant improvements in productivity, reduce crop losses, and optimize resource allocation, ultimately transforming the way we approach agricultural practices

Expectation of Potential Management Education Aspirants towards Management Education Institutions

Today’s market demands are good and active managers for the development of country. Managers should know all the facts, logic and strategies. For this they should get education from good institutions. Today in India we have large numbers of management institutions but they are not producing the Managers who can meet the global competition. Low quality of education in higher levels is increasingly becoming a cause of concern. Though lots has been written about the factors required to increase the quality of our business management institutions, much research has not been done into the other aspects of business schools such as related to the course content, teaching learning process and the basic methodologies of lecture delivery and understanding of the student’s needs and physical infrastructure. In particular by improving the quality in higher education, Indian business management schools may make themselves competitive in the long run. In this paper researcher has tried to study the mindset of current management education aspirants. The samples of 100 students were obtained; Frequency analysis and percentage analysis methods are used for the analysis of data. This paper concludes with the result - Management institutes must try to develop their quality as good as premier institutes in India. Today’s market demands are good and active managers for the development of country. Managers should know all the facts, logic and strategies. For this they should get education from good institutions. Today in India we have large numbers of management institutions but they are not producing the Managers who can meet the global competition. Low quality of education in higher levels is increasingly becoming a cause of concern. Though lots has been written about the factors required to increase the quality of our business management institutions, much research has not been done into the other aspects of business schools such as related to the course content, teaching learning process and the basic methodologies of lecture delivery and understanding of the student’s needs and physical infrastructure. In particular by improving the quality in higher education, Indian business management schools may make themselves competitive in the long run. In this paper researcher has tried to study the mindset of current management education aspirants. The samples of 100 students were obtained; Frequency analysis and percentage analysis methods are used for the analysis of data. This paper concludes with the result - Management institutes must try to develop their quality as good as premier institutes in India

Egfr/Ras pathway mediates interactions between peripodial and disc proper cells in Drosophila wing discs

All imaginal discs in Drosophila are made up of a layer of columnar epithelium or the disc proper and a layer of squamous epithelium called the peripodial membrane. Although the developmental and molecular events in columnar epithelium or the disc proper are well understood, the peripodial membrane has gained attention only recently. Using the technique of lineage tracing, we show that peripodial and disc proper cells arise from a common set of precursors cells in the embryo, and that these cells diverge in the early larval stages. However, peripodial and disc proper cells maintain a spatial relationship even after the separation of their lineages. The peripodial membrane plays a significant role during the regional subdivision of the wing disc into presumptive wing, notum and hinge. The Egfr/Ras pathway mediates this function of the peripodial membrane. These results on signaling between squamous and columnar epithelia are particularly significant in the context of in vitro studies using human cell lines that suggest a role for the Egfr/Ras pathway in metastasis and tumour progression

Pairwise Paracompactness

The purpose of this paper is to introduce and study a new paracompactness in bitopological spaces using (τi, τj)-g∗ωα-closed sets. Further, the properties of (τi, τj)-g∗ωα-closed sets, (τi, τj)-g∗ωα- continuous functions and (τi, τj)-g∗ωα-irresolute maps and (τi, τj)- g∗ωα-paracompact spaces are discussed in bitopological spaces.

The perinatal and maternal outcome in pregnancy with advanced maternal age 35 years and >35 years

Background: Purpose of this study is to evaluate maternal and perinatal outcome in advanced maternal age women. As numbers of pregnancies in advanced maternal age continue to grow, obstetric care provider would benefit from up to date outcome data to enhance their preconceptional and antenatal counseling.Methods: It is observational prospective analytic study, conducted in Nowrosjee Wadia maternity hospital, Parel, Mumbai. Total 100 patients were included in study, fulfilling inclusion criteria over period of 1 year.Results: In 100 patients, most common cause of delay conception is infertility (27%). 24% of patients conceived after treatment. out of 100 patients 23% of patients had pre-existing medical and surgical disorders, 50% developed complications in pregnancy. Out of 100 patient 58 patients undergone through biochemical study, 3 patients had high risk for chromosomal disorders. The rate of caeasarean section in our study is 68%. Perinatal mortality and morbidity is high in our study, rate of preterm delivery is 23.7%. Out of 105 babies (including multiple gestation), 42.8% babies are low birth weight out of which 9.5% babies are very low birth weight. Rate of NICU admission is 33%, perinatal mortality rate, neonatal mortality rate and still birth rate is 19.4 per 1000 births. Advanced maternal age is related to high maternal and perinatal morbidity and mortality rate.Conclusions: Pregnancies in women of advanced maternal age are considered high risk for Perinatal and maternal morbidity and mortality. A proper preconception consultation and intensive antenatal care assessment can individualize and potentially reduce the risks for women with advanced maternal age