Orthogonal Ramanujan Sums, its properties and Applications in Multiresolution Analysis

Signal processing community has recently shown interest in Ramanujan sums which was defined by S.Ramanujan in 1918. In this paper we have proposed Orthog- onal Ramanujan Sums (ORS) based on Ramanujan sums. In this paper we present two novel application of ORS. Firstly a new representation of a finite length signal is given using ORS which is defined as Orthogonal Ramanujan Periodic Transform.Secondly ORS has been applied to multiresolution analysis and it is shown that Haar transform is a spe- cial case

Genetic divergence studies in clusterbean [Cyamopsis Tetragoloba (L.) Taub.] genotypes for seed yield and gum content under rain-fed conditions

The genetic diversity among 33 cluster bean genotypes was evaluated under rain fed conditions during kharif 2012. The genetic material exhibited wide range of genetic diversity for all the twelve characters investigated. All the genotypes were grouped into seven different clusters. Cluster I was the largest comprising 11 genotypes followed by cluster II consisting of 8 genotypes, cluster V (5), cluster VI (4), cluster IV (2), cluster VII (2), cluster III (1). The clustering pattern indicated that there was lot of diversity among the genotypes and there was no relationship and independent. The intra cluster distance was highest at cluster VI followed by cluster I and II over others. The between the genetic and geographical diversity of the genotypes, but the distribution of the genotypes was random higher magnitude of inter-cluster distance were observed between cluster IV and VI (7.644) followed by cluster IV and cluster III and IV (5.861) and cluster II and V (5.834) indicating wider genetic diversity between the genotypes in V (7.582); cluster II and IV (6.802); cluster IV and VII (6.682); cluster I and IV (6.569); cluster II and VII (6.052); likely to produce more transgressive segregants. It is suggested that genotypes belonging to the clusters I, IV and VII these clusters. The uses of genotypes in hybridization from these clusters having most of the desirable characters are having diversified growth habit may be crossed with genotypes belonging to cluster II as they may be expected to produce good segregants with high yield potential

Conscious surgery: influence of the environment on patient anxiety

Aims: i) To investigate anxiety arising from the experience of the clinical environment during surgery under local/ regional anaesthesia and, ii) to uncover the specific aspects patients find anxiety provoking and possibly dissuade them from opting for such anaesthesia. Background: Operating theatres have historical been designed for safe, efficient surgery on the unconscious patient and not primarily designed for the care of the ‘awake’ patient. However, with the rise in day surgery, the quantity of surgery performed under local/ regional anaesthesia is increasing. Method: As part of a larger study investigating anxiety within modern elective day surgery, adult patients undergoing surgery and local/ regional anaesthesia (n=214) were provided with a questionnaire on the day of surgery for return by mail 24 - 48 hours following surgery. Findings: The experience of being awake, possibly feeling surgeon, seeing body cut open or surgery being more painful were anxiety provoking aspects. Utilising factor analysis ‘intra-operative apprehension’, ‘anaesthetic information provision and ‘health control’ were identified as central features. Moreover, when employing multiple regression, apprehension associated with the intra-operative experience and anaesthetic information provision were significantly associated with an increase in the overall level of anxiety. Conclusions: Although the surrounding clinical environment has previously been a cause of apprehension, the sensations associated with the physical act of surgery on the conscious self appear also to have a considerable influence. Focusing care upon managing patient intra-operative experience and providing anaesthetic information in advance may help limit anxiety and expel the apparent misapprehensions associated with conscious surgery

Statistical Analysis of Gall Bladder Cancer Patients with Application to Logistic Regression Model

Gallbladder carcinoma is a biliary tract tumor with a high mortality rate. The objectives of this study were to explore the risk factors of Gallbladder carcinoma in patients with gallstones and to establish effective screening indicators. The study suggest that the gallbladder cancer is constantly evolving, with much of this change caused by lifestyle, cultural and dietary factors. Balanced diet, prevention of malnutrition/adulteration, tobacco prevention and early intervention for cholelithiasis may help in decreasing the incidence of this dreaded disease. More structured studies need to be carried out to ascertain risk factors for GBC in our population subgroup such the religion, native language and education

Maternal and neonatal outcome after the use of low dose sublingual 25 µg misoprostol for labour induction in women with term pregnancy

Background: Aim of this study was to assess the maternal and fetal/neonatal outcome after the use of low dose (25 µg) misoprostol for labour induction in women with term pregnancy (gestational age >37 weeks POG) with a live foetus.Methods: The prospective interventional study was designed at the department of obstetrics and gynaecology of a tertiary health care hospital, with a sample size of 150 pregnant ladies who had to undergo induction of labour, were selected depending on the defined inclusion and exclusion criteria. Data was analysed using SPSS 18. Descriptive statistics were used to describe the data. Qualitative variables were presented as frequencies and percentage.Results: About 41% (61 patients) of the total study population was in the age group of 26 to 30 years with only two patients aged >35 years of age. The study group comprised of 88 primigravida (59%) and 62 multigravida (41%). The most common indication for induction of labour in my study was post-dated pregnancy (47%) followed by PROM (22%).Conclusions: The use of low dose (25 µg) misoprostol sublingually is definitely very effective in cervical ripening and induction of labour in term pregnancies particularly in those with poor Bishops score. There was no significant neonatal or maternal morbidity associated with induction of labour with low dose sublingual misoprotol.

Marginalized communities are facing the brunt of student homelessness

Headline: Marginalized communities are facing the brunt of student homelessness. My capstone is a news article focusing on the rising number of students who are homeless in New York City. It explores how advocacy groups and active community members are working to help those in marginalized communities experiencing homelessness at higher rates. Data: Data collection on the number of students unhoused in the past 11 years was done on Datawrapper. The numbers were found on NYSTEACHS.ORG. Keywords: Student homelessness, Shelter system, Unhoused, Advocates for Children, Mckinney-Vento Homeless Assistance Act, Schools, Education Here is the link to my capstone: https://gajrajalicia57.wixsite.com/website/general-

Evaluating E-Commerce Platforms for Fast-Moving Consumer Goods: A Comparative Study from the Consumer Perspective

This study examines consumer preferences and behaviors across various e-commerce platforms within the Fast-Moving Consumer Goods (FMCG) sector. Using a sample of 250 respondents, the research evaluates key aspects of e-commerce platforms such as user interface, product availability, pricing, delivery speed, and customer service. Additionally, it investigates the frequency of online shopping for FMCG products and the most preferred payment methods among consumers. The findings reveal a high level of consumer engagement with e-commerce platforms, particularly on a weekly or bi-weekly basis, with overall satisfaction highest in areas such as user interface and delivery speed. However, there are notable areas for improvement, especially in pricing strategies and customer service. The study underscores the importance of offering a seamless user experience, diverse product offerings, competitive pricing, and reliable customer support to enhance consumer satisfaction and loyalty in the competitive e-commerce landscape

Near Lossless Time Series Data Compression Methods using Statistics and Deviation

The last two decades have seen tremendous growth in data collections because of the realization of recent technologies, including the internet of things (IoT), E-Health, industrial IoT 4.0, autonomous vehicles, etc. The challenge of data transmission and storage can be handled by utilizing state-of-the-art data compression methods. Recent data compression methods are proposed using deep learning methods, which perform better than conventional methods. However, these methods require a lot of data and resources for training. Furthermore, it is difficult to materialize these deep learning-based solutions on IoT devices due to the resource-constrained nature of IoT devices. In this paper, we propose lightweight data compression methods based on data statistics and deviation. The proposed method performs better than the deep learning method in terms of compression ratio (CR). We simulate and compare the proposed data compression methods for various time series signals, e.g., accelerometer, gas sensor, gyroscope, electrical power consumption, etc. In particular, it is observed that the proposed method achieves 250.8\%, 94.3\%, and 205\% higher CR than the deep learning method for the GYS, Gactive, and ACM datasets, respectively. The code and data are available at https://github.com/vidhi0206/data-compression .Comment: 6 pages, 2 figures and 9 tables are include