A comparative study of the well-being of voluntarily childless women and mothers

2012 ◽  
Author(s):  
Katherine D. King ◽  
Allison L. Jahn
Keyword(s):  
Comparative Study ◽  
Well Being ◽  
Voluntarily Childless ◽  
Childless Women

A Comparative Study of Effectiveness of Statutory Employee Welfare Measures - With Special Reference to Canteen Facility in Sugar Mills in Krishna District of Andhra Pradesh

2018 ◽  
Vol 6 (11) ◽  
pp. 156
Author(s):  
M Srinivasa Rao ◽  
G. Vidyanath
Keyword(s):  
Comparative Study ◽  
Special Reference ◽  
Andhra Pradesh ◽  
Well Being ◽  
Employee Welfare ◽  
Sugar Mills ◽  
Welfare Measures ◽  
Individual Needs

The existing research is created an effort to recognize the worker well being actions implemented in Sugar Miles industry. Employee well being indicates anything done for comfortableness and enhancement of the employees over and above the salaries compensated which is not a requirement of the profession. The standard objective of employee well being is to enhance the lifestyle of workers and keep them satisfied. Employees invest at least half their time at your workplace or getting to it, or making it. They know that they play a role to the organization when they are reasonably exempt from fear and they experience that when they are in trouble/ problems, they are due to get something returning from the company. Individuals are qualified for be treated as complete humans with individual needs, desires and stresses.

scholarly journals The Psychological Well-Being among Government and Non Government School Teachers: A Comparative Study

2014 ◽  
Vol 2 (1) ◽  
Author(s):  
Kiran Vaghela
Keyword(s):  
Data Collection ◽  
Comparative Study ◽  
Well Being ◽  
School Teachers ◽  
Government School ◽  
Psychological Well Being ◽  
Male And Female ◽  
Significant Difference ◽  
Result Show ◽  
Test Result

Aim of the research is to find out the Psychological Well-being among School teachers. So investigator selected two groups one is government school teachers  and other is  non government school teachers, both groups have 400 persons. In one group has 200 and other one groups has 200 persons. The all subjects were randomly selected. Data were collected from Ahmadabad district. Scale was use for data collection is personal datasheet and Psychological Well-being scale developed by Bhogale and Prakash (1995), and data were analysis by “f” test. Result show, There is no significant difference between the psychological well-being of government and non government school teachers. There is no significant difference between the psychological well-being of male and female and urban and rural area.

Comparative analyses of skincare product advertisements in Georgian and English

2020 ◽  
Author(s):  
Zeinab Gvarishvili
Keyword(s):  
Comparative Study ◽  
Well Being ◽  
Daily Basis ◽  
The Internet ◽  
Signature Strengths ◽  
Comparative Analyses ◽  
Scientific Terminology ◽  
Persuasive Strategies ◽  
Self Image ◽  
Media Formats

Across the gamut of media formats – from television to the Internet – beauty product advertising influences consumers on a daily basis. Each advertisement seeks to persuade potential buyers of the product's value, or even its necessity for the buyer's well-being and self-image. These techniques, sometimes manipulative in nature, affect consumers’ self-concepts. One of the signature strengths of the beauty advertisement lies in its ability to transform seemingly mundane objects into highly desirable products. In some cases, the beauty industry uses buzzwords and scientific words to convince consumers of a product's value; these linguistic devices describe the product's apparent capabilities and appeal to the consumer's ego by suggesting that the product will enhance the assets the consumer already possesses. All things considered, the present paper deals with a comparative study of skincare product advertisements in English and Georgian and focuses on the use of persuasive strategies, buzzwords and scientific terminology in the advertisements that manipulate and influence potential consumers.

Comparative Study of Outcomes for Older People with Long Term Conditions Attending Day Care Services Delivered by Paid Staff or by Volunteers

2020 ◽  
Author(s):  
Catherine Lunt ◽  
Chris Shiels ◽  
Christopher Dowrick ◽  
Mari Lloyd-Williams
Keyword(s):  
Older People ◽  
Comparative Study ◽  
Day Care ◽  
Symptom Burden ◽  
Well Being ◽  
Long Term Conditions ◽  
North West ◽  
Age In Place ◽  
Care Services

Abstract Background Day care services can support older people living with multiple long term conditions (LTCs), to age in place, but little research on outcomes of Day Care attendance. Aims The aims of this comparative study were to determine outcomes for older people with LTCs attending day care services run entirely by paid staff or predominantly volunteers Methods Newly referred older people with LTCs to nine day care services in North West of England and North Wales were invited to participate in this longitudinal study with data being collected at baseline attendance and at 6 and 12 weeks. Demographic information was collected and the EQ-5D-3L and De Jong Loneliness 6 item questionnaire were completed at each time point.RESULTS 94 older people (64% female),age range 65 - 99 years (mean 82 years) were recruited. The mean number of LTCs was 4.3 (range 2-9) and 52% people lived alone. More than a third (36%) lived in one of the 20% most deprived local authorities in England and Wales. The outcomes in this exploratory study over 12 weeks appeared to be similar for paid, blended (paid staff and volunteers) and for volunteer led service, with those attending volunteer led services were significantly more likely to report fewer health problems in follow-up (OR=3.45, 95% CI 1.01-12.8, P=0.04). CONCLUSIONS This study suggests that Day Care Services for older people with long term conditions provide benefits in terms of self-rated physical and emotional well-being. Older people attending paid staff services were more likely to have greater number of LTCs associated with a higher symptom burden. However, at baseline there was no difference in self-reported health by service type. This study suggests that Day Care Services provided by volunteers can provide comparable outcomes. Following the Covid-19 pandemic, it is increasingly urgent to support older people with long term conditions who have lost physical and cognitive function during lockdown and to maintain and improve their function. Our study suggests that volunteers may be able to complement the care provided by paid staff freeing up resources and enabling increasing numbers of people to be supported.

Indoor air quality prediction using optimizers: A comparative study

2020 ◽  
Vol 39 (5) ◽  
pp. 7053-7069
Author(s):  
Jagriti Saini ◽  
Maitreyee Dutta ◽  
Gonçalo Marques
Keyword(s):  
Air Quality ◽  
Comparative Study ◽  
Indoor Air Quality ◽  
Mean Square Error ◽  
Indoor Air ◽  
Well Being ◽  
Percentage Error ◽  
Cow Dung ◽  
Mean Square ◽  
Human Beings

Indoor air pollution (IAP) has become a serious concern for developing countries around the world. As human beings spend most of their time indoors, pollution exposure causes a significant impact on their health and well-being. Long term exposure to particulate matter (PM) leads to the risk of chronic health issues such as respiratory disease, lung cancer, cardiovascular disease. In India, around 200 million people use fuel for cooking and heating needs; out of which 0.4% use biogas; 0.1% electricity; 1.5% lignite, coal or charcoal; 2.9% kerosene; 8.9% cow dung cake; 28.6% liquified petroleum gas and 49% use firewood. Almost 70% of the Indian population lives in rural areas, and 80% of those households rely on biomass fuels for routine needs. With 1.3 million deaths per year, poor air quality is the second largest killer in India. Forecasting of indoor air quality (IAQ) can guide building occupants to take prompt actions for ventilation and management on useful time. This paper proposes prediction of IAQ using Keras optimizers and compares their prediction performance. The model is trained using real-time data collected from a cafeteria in the Chandigarh city using IoT sensor network. The main contribution of this paper is to provide a comparative study on the implementation of seven Keras Optimizers for IAQ prediction. The results show that SGD optimizer outperforms other optimizers to ensure adequate and reliable predictions with mean square error = 0.19, mean absolute error = 0.34, root mean square error = 0.43, R2 score = 0.999555, mean absolute percentage error = 1.21665%, and accuracy = 98.87%.

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