24 research outputs found
The prevalence and determinants of pregnancy-related anxiety amongst pregnant women at less than 24 weeks of pregnancy in Bangalore, Southern India
No full textAnita Nath,1 Shubhashree Venkatesh,1 Sheeba Balan,1 Chandra S Metgud,2 Murali Krishna,3 Gudlavalleti Venkata Satyanarayana Murthy4,51Indian Institute of Public Health Hyderabad-Bangalore Campus, Public Health Foundation of India, Bangalore, Karnataka, India; 2Department of Community Medicine, J.N. Medical College, KLE University, Belgavi, Karnataka, India; 3FRAMe, Mysore, Karnataka, India; 4Indian Institute of Public Health Hyderabad, Public Health Foundation of India, Hyderabad, Telangana, India; 5Department of Clinical Research, International Center for Evidence in Disability, London School of Hygiene and Tropical Medicine, London, UKBackground: A pregnant woman undergoes physiological as well as psychological changes during this phase of life during which anxiety is a commonly faced mental condition. There is sufficient evidence on the association of pregnancy specific anxiety with adverse pregnancy outcomes. Studies on anxiety during pregnancy from low and middle income countries are limited.Methods: This study included 380 pregnant women, having a confirmed pregnancy of less than 24 weeks without any obstetric complication, who were availing of antenatal care at a public sector hospital in Bangalore city. Pregnancy-related thoughts (PRT) scale was used to screen for anxiety. Details pertaining to sociodemographic data, obstetric history, psychosocial factors including social support, marital discord, domestic violence, consanguinity, history of catastrophic events, history of mental illness, current presence of depression and anxiety was obtained by means of electronic data capture using an Android-based App.Results: Out of 380 pregnant women, 195 (55.7%) were found to have pregnancy-related anxiety. Lower socioeconomic status, low social support and depression emerged as significant determinants of anxiety.Conclusion: The prevalence of anxiety was fairly high in the study population and isp therefore an important public health concern. Pregnancy-related anxiety must be identified early during routine antenatal care to prevent any untoward pregnancy outcomes.Keywords: anxiety, pregnancy, prevalence, determinants, Indi
Keyword Extraction Using Particle Swarm Optimization
No full textAbstractWithout formal structure data are those that have no prearranged form or structure and are full of textual data. Typical unstructured systems include emails, reports, telephone or messaging conversations, etc. The main goal of this work is to extract the keywords from a conversation using particle swarm optimization. Keywords are grouped together under their classification and then suggested to the user. In existing work, using diverse keyword extraction, to find topic modelling information, representation of the main topics of transcript and diverse keyword selection. It maximizes the coverage of topics that are automatically recognized in transcript of conversation fragment. Once a set of keywords is extracted, it is clustered according to their user queries and recommended to the user. At the end of result, a single implicit query cannot improve user's satisfaction with the recommended documents. So, swarm intelligence technique is to be applied, it will minimize redundancy in a short list of Keywords and provide accurate query result compared to greedy algorithm
Technological Singularity in Sujatha Ranganathan’s En Iniya Iyanthira and Meendum Jeeno
No full textThe research paper aims at exploring the narrative aesthetics of Tamil science fiction in which the author takes twenty-first-century politics in India within the context of technological singularity. The article presents the political situation and totalitarianism in the age of technological singularity. The research focuses on the social impacts of artificial intelligence’s ability to read, learn, think, and act against its pre-programmed mechanism. A robotic dog struggles to restore a democratic political system from autocracy. The dystopian fictions “En Iniya Iyanthira” and “Meendum Jeeno” written by Sujatha Ranganathan depict the cognitive power of super intelligence behind a woman’s political actions to protect the people of India from exploitation, and corruption to create a better future. The paper demonstrates what a world without individual freedom looks like under the digital surveillance system of a totalitarian regime. The paper raises the question of what happens when a robot develops its rationality and mimics human behaviour. In these fictions, humans attempt to destroy the robotic dog. The robotic dog reaches a standard where nothing can destroy it. The paper explores the ways the robotic dog gains the knowledge to understand and practice the concept of humanity. The paper concludes with the post-humanistic conflicts between a woman and a robotic dog in emotional, ethical, and political aspects
Molecular docking and spectroscopic investigations aided by density functional theory of Parkinson’s drug 2-(3,4-dihydroxyphenyl)ethylamine
No full textSurface modification of CZTS nanoparticles using reflux method for effective utilizing absorber material
No full textPerformance Analysis of Farrow Structure Based FBMC-OQAM System
No full textAbstractFarrow structure is used in the efficient implementation of high order filters. The number of unknown coefficients is much less in Farrow structure based implementation, in comparison with the direct form implementation of FIR filters. Some predefined multipliers can also be used in this method. Since they are known apriori they will not add much to the complexity of the system. It is seen that a relatively strong correlation exists among the adjacent impulse response coefficients of the frequency selective filters. This fact is exploited in the Farrow structure to reduce the number of multipliers required for the implementation of desired filter. And these Farrow coefficients are used for representing the polyphase components of the desired filter. This Farrow structure based prototype filter is used for implementing an FBMC-OQAM system. BER performance of Farrow structure based FBMC-OQAM system is studied and found comparable with that of existing FBMC-OQAM system
Performance Improvement of Multicarrier Systems Using Wavelet Filter Banks
No full textAbstractThe need for higher data rates with increased bandwidth efficiency has focussed the search for techniques which deliver better results than conventional Orthogonal Frequency Division Multiplexing (OFDM) system. A wavelet filter bank system is investigated as a multicarrier modulation system (MCM). Such a system is found to be flexible, efficient and has many advantages over the present OFDM systems. This paper deals with identifying the suitability of different wavelet families, which can be used to improve the performance parameters of existing systems. Different wavelets families Daubechies, Meyer and Battle-Lemarie, are used as filter coefficients for wavelet based OFDM system and it is found that Daubechies wavelet (Db4) based multicarrier system outperforms the other two
Immunogenicity of SARS-CoV-2 vaccines in patients with cancer
No full textTransmission of the SARS-CoV-2 virus and its corresponding disease (COVID-19) has been shown to impose a higher burden on cancer patients than on the general population. Approved vaccines for use include new technology mRNA vaccines such as BNT162b2 (Pfizer–BioNTech) and mRNA-1273 (Moderna), and nonreplicating viral vector vaccines such as Ad26.COV2.S (Johnson & Johnson) and AZD1222 (AstraZeneca). Impaired or delayed humoral and diminished T-cell responses are evident in patients with cancer, especially in patients with haematological cancers or those under active chemotherapy. Herein we review the current data on vaccine immunogenicity in cancer patients, including recommendations for current practice and future research
Burden of cervical cancer in India: estimates of years of life lost, years lived with disability and disability adjusted life years at national and subnational levels using the National Cancer Registry Programme data
No full textAbstract Background Cervical cancer is ranked as the second most common cancer in India. This study aims to assess the cervical cancer burden at the national and subnational level in India, projecting it for the year 2025 in terms of years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life years (DALYs). Methods Twenty-eight population based cancer registries within the National Cancer Registry Programme network contributed cancer incidence and mortality data for this analysis. The DisMod-II tool, WHO lifetables, disability weights, mortality to incidence ratio, sample registration system, and census data were used to estimate the burden of cervical cancer. The projection estimates for 2025 were performed using a negative binomial regression model. Results In 2016, the cervical cancer burden in India was 223.8 DALYs per 100,000 women. The highest age-standardised DALYs were found in the northeast region (290.1 DALYs per 100,000 women) and the lowest in the eastern region (156.1 DALYs per 100,000 women). The states of Mizoram, Arunachal Pradesh, Karnataka, and Nagaland had a higher cervical cancer burden with DALYs exceeding 300 per 100,000 women. The projected cervical cancer burden for India in 2025 was estimated to be 1.5 million DALYs. Conclusions The study has found a significant cervical cancer burden across the regions of India, providing a baseline for monitoring impact of actions. Enhancing awareness of cervical cancer, advocating for the significance of screening, and promoting HPV vaccination among adolescents, families, and communities through informative communication campaigns are essential steps in managing and ultimately eliminating cervical cancer in India
Gender disparities in Unpaid Household care labour: An Economic Estimate from Rural South India.
No full textWorldwide women spend 4.5 hours daily on unpaid work while men spend about half of that time. The study aimed to estimate the time spent by both men and women on the various types of unpaid care labour find the economic estimates of unpaid labour. A descriptive cross-sectional study was conducted for a period of 3 months in 2020 in the rural area of South India. 360 study participants of 15 -60 years were recruited using simple random sampling and enquired for the time spent on care activities using time use survey . Cumulative hours spent per year and its economic estimate was calculated using Oxfam global care calculator. Female participants did significantly higher hours of unpaid care (3596.5 hrs) as compared to male participants (2938.3 hours) (p <0.05). Economic estimates of unpaid care per year were significantly higher (INR 103641.8) for females as compared to males (INR 84610) (p< 0.005). The policy makers and administrators should develop policies which recognise, reduce, redistribute and represent unpaid labour work
