Effects of testosterone replacement therapy withdrawal and re-treatment in hypogonadal elderly men upon obesity,voiding function and prostate safety parameters

Whether testosterone replacement therapy (TRT) is a lifelong treatment for men with hypogonadism remains unknown. We investigated long-term TRT and TRT withdrawal on obesity and prostate-related parameters. Two hundred and sixty-two hypogonadal patients (mean age 59.5) received testosterone undecanoate in 12-week intervals for a maximum of 11 years. One hundred and forty-seven men had TRT interrupted for a mean of 16.9 months and resumed thereafter (Group A). The remaining 115 patients were treated continuously (Group B). Prostate volume, prostate-specific antigen (PSA), residual voiding volume, bladder wall thickness, C-reactive protein (CRP), aging male symptoms (AMS), International Index of erectile function – erectile function (IIEF-EF) and International Prostate Symptoms Scores (IPSS) were measured over the study period with anthropometric parameters of obesity, including weight, body mass index (BMI) and waist circumference. Prior to interruption, TRT resulted in improvements in residual voiding volume, bladder wall thickness, CRP, AMS, IIEF-EF, IPSS and obesity parameters while PSA and prostate volume increased. TRT interruption reduced total testosterone to hypogonadal levels in Group A and resulted in worsening of obesity parameters, AMS, IPSS, residual voiding volume and bladder wall thickness, IIEF-EF and PSA while CRP and prostate volume were unchanged until treatment resumed whereby these effects were reversed. TRT interruption results in worsening of symptoms. Hypogonadism may require lifelong TRT.     

Prosocial Motivation as a Driver of Social Innovation in the UAE

One important domain of nonmarket-driven innovation is social innovation. Defined as “new ideas that have the potential to improve either the quality or the quantity of life,” social innovation stands in stark contrast to business innovation that focuses on creativity with the intention of making a profit. Drawing on research on motivation, creativity, rentier mentality, and Islamic work ethics, this article takes a motivational approach to social innovation and advances a proposition that prosocial motivation is of particular importance in fostering social innovation in the context of the UAE. We argue that due to policies that grant nationals high financial stability and affluence, UAE locals are less likely to be driven by extrinsic motivation, but rather by intrinsic motivation. We propose that enhancing their prosocial motivation will have a synergetic effect with their intrinsic motivation and therefore lead to higher social innovation. This article extends the literature on prosocial motivation, social innovation, and social entrepreneurship by identifying a geographical/cultural region where the motivational basis for social innovation is amplified. Significantly, this article questions common assumptions about a rentier mentality and proposes a path to leverage social innovation. Implications for policymakers and practitioners are discussed.     

A New Malaysian Quality of Life Index Based on Fuzzy Sets and Hierarchical Needs

The Malaysian Quality of Life Index (MQLI) released by the Economic Planning Unit (EPU), has led authors to search for alternative method of expressing this index. One of the limitations in MQLI computations is the failure to recognise unequal weights for each accounted component. This paper offers a new way of expressing the quality of life index using a mathematical modelling based on fuzzy sets theory and the proposed weights based on Maslow’s theory of hierarchical human needs. The indices of 11 components that were used to compute MQLI, again be gathered as a basis in expressing a new Malaysian Fuzzy Quality of Life Index (MFQLI). The new indices for each component yielded through a normalisation process prior weighting and aggregation to compose a new MFQLI. It was found that a fuzzy sets approach with the inclusion of weights based on human needs yielded a better index of quality of life than the MQLI.     

Simulated Distribution of the Kullback-Leibler Information Measure

This paper provides the percentiles obtained by simulation of an informational test statistic. It gives evidence that the widely used chi-square approximation to this test statistic is not suitable.     

Soil organic carbon stock in different urban land uses: high stock evidence in urban parks

Urban Ecosystems - Urban areas are major producers of atmospheric CO2 emissions, but at the same time they can offset some of the associated C losses by retaining stable organic carbon in their...     

Detecting Directionality in Time Series

Abstract

Directionality can be seen in many stationary time series from various disciplines, but it is overlooked when fitting linear models with Gaussian errors. Moreover, we cannot rely on distinguishing directionality by comparing a plot of a time series in time order with a plot in reverse time order. In general, a statistical measure is required to detect and quantify directionality. There are several quite different qualitative forms of directionality, and we distinguish: rapid rises followed by slow recessions; rapid increases and rapid decreases from the mean followed by slow recovery toward the mean; directionality above or below some threshold; and intermittent directionality. The first objective is to develop a suite of statistical measures that will detect directionality and help classify its nature. The second objective is to demonstrate the potential benefits of detecting directionality. We consider applications from business, environmental science, finance, and medicine. Time series data are collected from many processes, both natural and anthropogenic, by a wide range of organizations, and directionality can easily be monitored as part of routine analysis. We suggest that doing so may provide new insights to the processes.     

Implementation of Child Rights in the Children's Homes in Malaysia

The objective of this study was to examine the implementation of the Convention on the Rights of the Child (CRC) in the Children Homes under the Social Welfare Department (SWD) in Malaysia. Data was collected from 402 registered children who were staying in six Children Homes across the country. This study employed self‐report surveys where multiple data collection methods, such as face‐to‐face structured interviews, key informant interviews (KIIs), and documentation survey, were used. The study found that the SWD failed to comply with most of the commitments of CRC in Children Homes at its implementation level, and it is still needs based. The findings of this study present important guidelines for government and policy makers in improving child welfare services in the Children Homes in Malaysia.     

“It's Really a Roller Coaster”: Experience of Parenting Children with Developmental Disabilities

The aim of this research was to explore the experience of parenting a child diagnosed with a developmental disability. The in-depth interviews were semistructured and open-ended, covering topics such as positive and negative experiences and time demand in raising a child with a developmental disability, their effects on family relationship and on physical and mental health of the parents, and the strategies for managing the negative experiences. Overall, the participants indicated that parenting a child with a developmental disability is both challenging and rewarding, depending on the circumstances facing parents in a particular day. The findings are interpreted in five thematic structures: (1) negotiating joys and sorrows, (2) physical and mental exhaustion, (3) negotiating with family matters, (4) social stigma, and (5) hope in the midst of despair, each of which comprised several subthemes/categories. The discussion includes implications of the findings.     

Risk measure estimation under two component mixture models with trimmed data

Several two component mixture models from the transformed gamma and transformed beta families are developed to assess risk performance. Their common statistical properties are given and applications to real insurance loss data are shown. A new data trimming approach for parameter estimation is proposed using the maximum likelihood estimation method. Assessment with respect to Value-at-Risk and Conditional Tail Expectation risk measures are presented. Of all the models examined, the mixture of inverse transformed gamma-Burr distributions consistently provides good results in terms of goodness-of-fit and risk estimation in the context of the Danish fire loss data.