428 research outputs found

    Perceived financial literacy, choice of investment and retirement planning amongst women

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    The demographic trends indicating an ageing population, as well as social changes like the shift from extended to nuclear families, give rise to the need for financial preparedness for retirement planning, especially amongst vulnerable groups and women. One of the important determinants of financial preparedness is financial literacy which is the financial knowledge possessed and the ability to effectively process economic information. Financial literacy enables informed decision making and appropriate related actions in preparing for a retired life (Njuguna & Otsola, 2011). In practice, Financial literacy may be classified into two distinct components: perceived financial literacy (PFL); and actual financial literacy (AFL). PFL is the person’s subjective perception of his/her level of financial literacy. It also termed as financial confidence since it reflects a person’s self-beliefs about her/his own level of financial literacy. AFL, on the other hand, is a more objective determination of financial literacy, being formally assessed on a set of valid evaluation questions. Though there have been several studies on Financial Literacy, there is a dearth of studies that examine the perspective of women, who are particularly vulnerable when it comes to financial preparedness at the time of retirement. The present study therefore examines the influence of PFL and AFL on financial preparedness for retirement with specific reference to women. The study adopts a descriptive methodology and modelling to assess the extent to which AFL, PFL and demographics affect financial preparedness among women. The findings of a baseline study among women residing in the United Arab Emirates are presented and several implications are discussed to support the financial preparedness of the women. Key words: Perceived financial literacy, Actual financial literacy, Financial preparednes

    Women and work in the Fourth Industrial Revolution: An exploratory study of women's experience in IT Jobs

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    Information and Communication Technology (ICT) is leading the discontinuous change in every sphere of our lives, from the Internet of everything to the Internet of all, and from Artificial Intelligence and Robotics to Human Augmentation. As nations experience shifting sources of competitiveness and a “hollowing out” effect, existing competencies get destroyed and the need for new competencies arises. On one hand, there is an increasing requirement for a workforce with high technical skills and on the other hand there is a shortage of human capital that can meet this need (Choi 2017). Information Technology (IT) is one of the key sectors experiencing this phenomenon. The high gender gap - a constant 72 percent which is estimated to continue in the future – further compounds the problem. IT is seen as a male dominated occupation, as indicated, for example, by the 78 percent:22 percent male-to-female ratio of Artificial Intelligence professionals globally (World Economic Forum 2018). Even amongst the women who do work in the IT profession, studies report a “leaky pipeline” with women moving away from their IT jobs during their career (Vitores & Gil-Juárez 2016). There is an urgent need for understanding the phenomenon of gender representation in the era of the Fourth Industrial Revolution. To this end, the present study explores the experiences of women working in IT departments and organizations in Dubai, their motivations, challenges, coping strategies and organizational support systems. These women have been chosen for the study to compare the experiences of IT versus non-IT women professionals working in the IT field. Neo-classical and human capital theories highlight women’s lower levels of education and workplace experience due to childcare responsibilities. Feminist theories argue that the underlying reason lies in the patriarchal attitudes and structures that perpetuate male domination in society, which extend to the workplace. Gender studies predominantly report challenges and negative experiences that include prejudice, hostility, inequality, stereotyping etc., all of which originate from social conditioning. A gender-neutral axiological stance has been adopted for this study which broadens the understanding of womens’ experiences - both positive and negative - the sources of the challenges as well as the support from the opposite gender as well as same-gender peers, superiors and subordinates; and the elements of social conditioning that aided and those that exacerbated their experiences. The study was undertaken from a yin-and-yang positionality rather than using a gender hierarchy and hence treats both genders as complementing each other. The objective is to help address the service management imperatives of developing an enabling work culture, harnessing the potential of employees and developing a sustainable pipeline of competent professionals, which essentially involves addressing the challenges faced by women and mitigating barriers to their empowered contribution. The approach adopted was a relativist ontological approach that aimed to understand the reality as perceived by women working in IT departments/companies based on their social interactions and experiences. To address the challenges, effective service management strategies must be based on an understanding of women’s subjective reality, a qualitative study marked the first phase of the study. Keywords: Gender gap in services, IT industry, IR4, Experiences, support strategies, coping mechanisms, gender-neutral approac

    Classification methodology of CVD with localized feature analysis using Phase Space Reconstruction targeting personalized remote health monitoring

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    2016 Computing in Cardiology Conference (CinC), 11-14 September 2016, Vancouver, BC, CanadaThis is the final version of the article. Available from the publisher via the DOI in this recordThis paper introduces the classification methodology of Cardiovascular Disease (CVD) with localized feature analysis using Phase Space Reconstruction (PSR) technique targeting personalized health care. The proposed classification methodology uses a few localized features (QRS interval and PR interval) of individual Electrocardiogram (ECG) beats from the Feature Extraction (FE) block and detects the desynchronization in the given intervals after applying the PSR technique. Considering the QRS interval, if any notch is present in the QRS complex, then the corresponding contour will appear and the variation in the box count indicating a notch in the QRS complex. Likewise, the contour and the disparity of box count due to the variation in the PR interval localized wave have been noticed using the proposed PSR technique. ECG database from the Physionet (MIT-BIH and PTBDB) has been used to verify the proposed analysis on localized features using proposed PSR and has enabled us to classify the various abnormalities like fragmented QRS complexes, myocardial infarction, ventricular arrhythmia and atrial fibrillation. The design have been successfully tested for diagnosing various disorders with 98% accuracy on all the specified abnormal databases.This work is partly supported by the Department of Electronics and Information and Technology (DeitY), India under the “Internet of Things (IoT) for Smarter Healthcare” under Grant No: 13(7)/2012-CC&BT, dated 25 Feb 2013. Naresh V is funded by Ministry of Human Resource Development (MHRD) PhD studentship through IIT Hyderabad

    Mutations in phosphodiesterase 6 identified in familial cases of retinitis pigmentosa.

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    To delineate the genetic determinants associated with retinitis pigmentosa (RP), a hereditary retinal disorder, we recruited four large families manifesting cardinal symptoms of RP. We localized these families to regions on the human genome harboring the α and β subunits of phosphodiesterase 6 and identified mutations that were absent in control chromosomes. Our data suggest that mutations in PDE6A and PDE6B are responsible for the retinal phenotype in these families

    Loss of function mutations in RP1 are responsible for retinitis pigmentosa in consanguineous familial cases.

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    PurposeThis study was undertaken to identify causal mutations responsible for autosomal recessive retinitis pigmentosa (arRP) in consanguineous families.MethodsLarge consanguineous families were ascertained from the Punjab province of Pakistan. An ophthalmic examination consisting of a fundus evaluation and electroretinography (ERG) was completed, and small aliquots of blood were collected from all participating individuals. Genomic DNA was extracted from white blood cells, and a genome-wide linkage or a locus-specific exclusion analysis was completed with polymorphic short tandem repeats (STRs). Two-point logarithm of odds (LOD) scores were calculated, and all coding exons and exon-intron boundaries of RP1 were sequenced to identify the causal mutation.ResultsThe ophthalmic examination showed that affected individuals in all families manifest cardinal symptoms of RP. Genome-wide scans localized the disease phenotype to chromosome 8q, a region harboring RP1, a gene previously implicated in the pathogenesis of RP. Sanger sequencing identified a homozygous single base deletion in exon 4: c.3697delT (p.S1233Pfs22*), a single base substitution in intron 3: c.787+1G>A (p.I263Nfs8*), a 2 bp duplication in exon 2: c.551_552dupTA (p.Q185Yfs4*) and an 11,117 bp deletion that removes all three coding exons of RP1. These variations segregated with the disease phenotype within the respective families and were not present in ethnically matched control samples.ConclusionsThese results strongly suggest that these mutations in RP1 are responsible for the retinal phenotype in affected individuals of all four consanguineous families

    Experimental study and analysis of lubricants dispersed with nano Cu and TiO2 in a four-stroke two wheeler

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    The present investigation summarizes detailed experimental studies with standard lubricants of commercial quality known as Racer-4 of Hindustan Petroleum Corporation (India) dispersed with different mass concentrations of nanoparticles of Cu and TiO2. The test bench is fabricated with a four-stroke Hero-Honda motorbike hydraulically loaded at the rear wheel with proper instrumentation to record the fuel consumption, the load on the rear wheel, and the linear velocity. The whole range of data obtained on a stationery bike is subjected to regression analysis to arrive at various relationships between fuel consumption as a function of brake power, linear velocity, and percentage mass concentration of nanoparticles in the lubricant. The empirical relation correlates with the observed data with reasonable accuracy. Further, extension of the analysis by developing a mathematical model has revealed a definite improvement in brake thermal efficiency which ultimately affects the fuel economy by diminishing frictional power in the system with the introduction of nanoparticles into the lubricant. The performance of the engine seems to be better with nano Cu-Racer-4 combination than the one with nano TiO2

    Trajectories of self-rated health in people with diabetes: Associations with functioning in a prospective community sample

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    © 2013 Schmitz et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Background: Self-rated health (SRH) is a single-item measure that is one of the most widely used measures of general health in population health research. Relatively little is known about changes and the trajectories of SRH in people with chronic medical conditions. The aims of the present study were to identify and describe longitudinal trajectories of self-rated health (SRH) status in people with diabetes. Methods: A prospective community study was carried out between 2008 and 2011. SRH was assessed at baseline and yearly at follow-ups (n=1288). Analysis was carried out through trajectory modeling. The trajectory groups were subsequently compared at 4 years follow-up with respect to functioning. Results: Four distinct trajectories of SRH were identified: 1) 72.2% of the participants were assigned to a persistently good SRH trajectory; 2) 10.1% were assigned to a persistently poor SRH trajectory; 3) mean SRH scores changed from good to poor for one group (7.3%); while 4) mean SRH scores changed from poor to medium/good for another group (10.4%). Those with a persistently poor perception of health status were at higher risk for poor functioning at 4 years follow-up than those whose SRH scores decreased from good to poor. Conclusions: SRH is an important predictor for poor functioning in diabetes, but the trajectory of SRH seems to be even more important. Health professionals should pay attention to not only SRH per se, but also changes in SRH over time.This work was supported by Operating Grant MOP-84574 from the Canadian Institutes of Health Research (CIHR). GG was supported by a doctoral fellowship from the CIHR. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript
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