Harnessing demographic differences in organizations:what moderates the effects of workplace diversity?

To account for the double-edged nature of demographic workplace diversity (i.e,. relational demography, work group diversity, and organizational diversity) effects on social integration, performance, and well-being related variables, research has moved away from simple main effect approaches and started examining variables that moderate these effects. While there is no shortage of primary studies of the conditions under which diversity leads to positive or negative outcomes, it remains unclear which contingency factors make it work. Using the Categorization-Elaboration Model as our theoretical lens, we review variables moderating the effects of workplace diversity on social integration, performance, and well-being outcomes, focusing on factors that organizations and managers have control over (i.e., strategy, unit design, human resource, leadership, climate/culture, and individual differences). We point out avenues for future research and conclude with practical implications.

Novel ageing-biomarker discovery using data-intensive technologies

Ageing is accompanied by many visible characteristics. Other biological and physiological markers are also well-described e.g. loss of circulating sex hormones and increased inflammatory cytokines. Biomarkers for healthy ageing studies are presently predicated on existing knowledge of ageing traits. The increasing availability of data-intensive methods enables deep-analysis of biological samples for novel biomarkers. We have adopted two discrete approaches in MARK-AGE Work Package 7 for biomarker discovery; (1) microarray analyses and/or proteomics in cell systems e.g. endothelial progenitor cells or T cell ageing including a stress model; and (2) investigation of cellular material and plasma directly from tightly-defined proband subsets of different ages using proteomic, transcriptomic and miR array. The first approach provided longitudinal insight into endothelial progenitor and T cell ageing.This review describes the strategy and use of hypothesis-free, data-intensive approaches to explore cellular proteins, miR, mRNA and plasma proteins as healthy ageing biomarkers, using ageing models and directly within samples from adults of different ages. It considers the challenges associated with integrating multiple models and pilot studies as rational biomarkers for a large cohort study. From this approach, a number of high-throughput methods were developed to evaluate novel, putative biomarkers of ageing in the MARK-AGE cohort.

Ageing and neurodegenerative disorders

Editorial

We know what you want to buy:a demographic-based system for product recommendation on microblogs

Product recommender systems are often deployed by e-commerce websites to improve user experience and increase sales. However, recommendation is limited by the product information hosted in those e-commerce sites and is only triggered when users are performing e-commerce activities. In this paper, we develop a novel product recommender system called METIS, a MErchanT Intelligence recommender System, which detects users' purchase intents from their microblogs in near real-time and makes product recommendation based on matching the users' demographic information extracted from their public profiles with product demographics learned from microblogs and online reviews. METIS distinguishes itself from traditional product recommender systems in the following aspects: 1) METIS was developed based on a microblogging service platform. As such, it is not limited by the information available in any specific e-commerce website. In addition, METIS is able to track users' purchase intents in near real-time and make recommendations accordingly. 2) In METIS, product recommendation is framed as a learning to rank problem. Users' characteristics extracted from their public profiles in microblogs and products' demographics learned from both online product reviews and microblogs are fed into learning to rank algorithms for product recommendation. We have evaluated our system in a large dataset crawled from Sina Weibo. The experimental results have verified the feasibility and effectiveness of our system. We have also made a demo version of our system publicly available and have implemented a live system which allows registered users to receive recommendations in real time. © 2014 ACM.

Exploring demographic information in social media for product recommendation

In many e-commerce Web sites, product recommendation is essential to improve user experience and boost sales. Most existing product recommender systems rely on historical transaction records or Web-site-browsing history of consumers in order to accurately predict online users’ preferences for product recommendation. As such, they are constrained by limited information available on specific e-commerce Web sites. With the prolific use of social media platforms, it now becomes possible to extract product demographics from online product reviews and social networks built from microblogs. Moreover, users’ public profiles available on social media often reveal their demographic attributes such as age, gender, and education. In this paper, we propose to leverage the demographic information of both products and users extracted from social media for product recommendation. In specific, we frame recommendation as a learning to rank problem which takes as input the features derived from both product and user demographics. An ensemble method based on the gradient-boosting regression trees is extended to make it suitable for our recommendation task. We have conducted extensive experiments to obtain both quantitative and qualitative evaluation results. Moreover, we have also conducted a user study to gauge the performance of our proposed recommender system in a real-world deployment. All the results show that our system is more effective in generating recommendation results better matching users’ preferences than the competitive baselines.

Intracellular redox state modulates the T cell surface proteome – relevance to ageing

During ageing an altered redox balance has been observed in both intracellular and extracellular compartments, primarily due to glutathione depletion and metabolic stress. Maintaining redox homeostasis is important for controlling proliferation and apoptosis in response to specific stimuli for a variety of cells. For T cells, the ability to generate specific response to antigen is dependent on the oxidation state of cell surface and cytoplasmic protein-thiols. Here we describe the effects of depleting intracellular glutathione concentration for T cell exofacial expression of thioredoxin 1 and IL-2 production, and have determined the distribution of Trx1 with ageing. Using buthionine sulfoximine to deplete intracellular glutathione in Jurkat T cells we show using Western blotting that cell surface thioredoxin-1 is lowered and that the response to the lectin phytohaemagglutinin measured by ELISA as IL-2 production is also decreased. Using flow cytometry we show that the distribution of Trx1 on primary CD4+ T cells is age-dependent, with lower surface Trx1 expression and greater variability of surface expression observed with age. Together these data suggest that a relationship exists between the intracellular redox compartment and exofacial surface. Redox imbalance may be important for impaired T cell function during ageing.

The impact of ageing and gender on visual mental imagery processes:a study of performance on tasks from the Complete Visual Mental Imagery Battery (CVMIB)

In this study we aim to evaluate the impact of ageing and gender on different visual mental imagery processes. Two hundred and fifty-one participants (130 women and 121 men; age range = 18–77 years) were given an extensive neuropsychological battery including tasks probing the generation, maintenance, inspection, and transformation of visual mental images (Complete Visual Mental Imagery Battery, CVMIB). Our results show that all mental imagery processes with the exception of the maintenance are affected by ageing, suggesting that other deficits, such as working memory deficits, could account for this effect. However, the analysis of the transformation process, investigated in terms of mental rotation and mental folding skills, shows a steeper decline in mental rotation, suggesting that age could affect rigid transformations of objects and spare non-rigid transformations. Our study also adds to previous ones in showing gender differences favoring men across the lifespan in the transformation process, and, interestingly, it shows a steeper decline in men than in women in inspecting mental images, which could partially account for the mixed results about the effect of ageing on this specific process. We also discuss the possibility to introduce the CVMIB in clinical assessment in the context of theoretical models of mental imagery.

Accounting and the 'insoluble' problem of health care costs

Health service accounting reforms are frequently promoted, explained or justified with reference to ageing populations, expensive medical technologies and their purported implications for the cost of health care. Drawing on Foucault’s genealogical method, we examine the emergence of concerns regarding health expenditure in the wake of the creation of the British National Health Service in 1948, and their relationship with health service accounting practices. We argue that concerns regarding the cost of health care are historically contingent rather than inescapable consequences of demographic and technological change, and that health service accounting practices are both constitutive and reflective of such concerns. We conclude by relating our analysis to current attempts to control costs and increase efficiency in the health services.

Using observation ageing to improve Markovian model learning in QoS engineering

Markovian models are widely used to analyse quality-of-service properties of both system designs and deployed systems. Thanks to the emergence of probabilistic model checkers, this analysis can be performed with high accuracy. However, its usefulness is heavily dependent on how well the model captures the actual behaviour of the analysed system. Our work addresses this problem for a class of Markovian models termed discrete-time Markov chains (DTMCs). We propose a new Bayesian technique for learning the state transition probabilities of DTMCs based on observations of the modelled system. Unlike existing approaches, our technique weighs observations based on their age, to account for the fact that older observations are less relevant than more recent ones. A case study from the area of bioinformatics workflows demonstrates the effectiveness of the technique in scenarios where the model parameters change over time.

Real-time temperature estimation for power MOSFETs considering thermal ageing effects

This paper presents a novel real-time power-device temperature estimation method that monitors the power MOSFET's junction temperature shift arising from thermal aging effects and incorporates the updated electrothermal models of power modules into digital controllers. Currently, the real-time estimator is emerging as an important tool for active control of device junction temperature as well as online health monitoring for power electronic systems, but its thermal model fails to address the device's ongoing degradation. Because of a mismatch of coefficients of thermal expansion between layers of power devices, repetitive thermal cycling will cause cracks, voids, and even delamination within the device components, particularly in the solder and thermal grease layers. Consequently, the thermal resistance of power devices will increase, making it possible to use thermal resistance (and junction temperature) as key indicators for condition monitoring and control purposes. In this paper, the predicted device temperature via threshold voltage measurements is compared with the real-time estimated ones, and the difference is attributed to the aging of the device. The thermal models in digital controllers are frequently updated to correct the shift caused by thermal aging effects. Experimental results on three power MOSFETs confirm that the proposed methodologies are effective to incorporate the thermal aging effects in the power-device temperature estimator with good accuracy. The developed adaptive technologies can be applied to other power devices such as IGBTs and SiC MOSFETs, and have significant economic implications.

Survival in the pre-senile dementia frontotemporal lobar degeneration with TDP-43 proteinopathy:effects of genetic, demographic and neuropathological variables

Factors associated with survival were studied in 84 neuropathologically documented cases of the pre-senile dementia frontotemporal dementia lobar degeneration (FTLD) with transactive response (TAR) DNA-binding protein of 43 kDa (TDP-43) proteinopathy (FTLD-TDP). Kaplan-Meier survival analysis estimated mean survival as 7.9 years (range: 1-19 years, SD = 4.64). Familial and sporadic cases exhibited similar survival, including progranulin (GRN) gene mutation cases. No significant differences in survival were associated with sex, disease onset, Braak disease stage, or disease subtype, but higher survival was associated with lower post-mortem brain weight. Survival was significantly reduced in cases with associated motor neuron disease (FTLD-MND) but increased with Alzheimer's disease (AD) or hippocampal sclerosis (HS) co-morbidity. Cox regression analysis suggested that reduced survival was associated with increased densities of neuronal cytoplasmic inclusions (NCI) while increased survival was associated with greater densities of enlarged neurons (EN) in the frontal and temporal lobes. The data suggest that: (1) survival in FTLD-TDP is more prolonged than typical in pre-senile dementia but shorter than some clinical subtypes such as the semantic variant of primary progressive aphasia (svPPA), (2) MND co-morbidity predicts poor survival, and (3) NCI may develop early and EN later in the disease. The data have implications for both neuropathological characterization and subtyping of FTLD-TDP.

Modulation of cholesterol in midlife affords cognitive advantage during ageing - a role for altered redox balance

General practitioners, geriatricians, neurologists and health care professionals all over the world will be facing by 2040 the diagnostic, therapeutic and socioeconomic challenges of over 80 million people with dementia. Dementia is one of the most common diseases in the elderly which drastically affects daily life and everyday personal activities, is often associated with behavioural symptoms, personality change and numerous clinical complications and increases the risk for urinary incontinence, hip fracture, and - most markedly - the dependence on nursing care. The costs of care for patients with dementia are therefore immense. Serum cholesterol levels above 6.5 mmol/L are known to be associated with an increased RR of 1.5 and 2.1 to develop Alzheimeŕs disease, the most common form of dementia, and a reduction of serum cholesterol in midlife is associated with a lowered dementia risk. The aim of this work is to critically discuss some of the main results reported recently in the literature in this respect and to provide the pathophysiological rationale for the control of dyslipidemia in the prevention of dementia onset and progression.

Factors associated with high anticholinergic burden in aging adults with intellectual disabilities:a cross-sectional study

Background: Anticholinergic (AC) medications are associated with cognitive and functional decline in older people, with risk of adverse outcomes increasing with increasing AC exposure. Older people with intellectual disabilities are at increased risk of high AC exposure owing to higher prevalence of multimorbidity, particularly psychiatric morbidities. Objectives: The aims of this study were to determine individual’s AC exposure using the AC cognitive burden (ACB) scale, identify therapeutic classes contributing to burden and determine clinical and demographic factors associated with two levels of AC exposure (ACB score 1–4, ACB 5+). Methods: Cross-sectional (self-report/proxy report)medication data were drawn from Wave 1 of the Intellectual Disability Supplement to the Irish Longitudinal Study on Ageing, a study on ageing of 753nationally representative people with ID aged over40 randomly selected from the National Intellectual Disability Database. Medication data were available for 736 (98%). Each individual’s cumulative AC exposure was calculated using the ACB. Multinomiallogistic regression was performed identifying clinical and demographic factors associated with ACB score1–4, and ACB 5+. Results: In the eligible population of 736 participants(mean (±SD) age 54.1 (±8.8) years,55% female), 522(70.9%) were exposed to an ACB medicine (ACB 1+); 214 (29%) had an ACB score of 5+; mean total ACB score= 4.5 (±3.0). Antipsychotics accounted for35.6% of the cumulative ACB score. Age over 65yearswas associated with increased likelihood of both levels of AC exposure (ACB 1–4—adjusted OR 3.28; 95%CI 1.49–7.25, ACB 5+—adjusted OR 3.08; 95%CI1.21–7.63) and having a mental health condition(ACB 1–4—adjusted OR 9.79; 95%CI 5.63–17.02, ACB 5+—adjusted OR 23.74; 95%CI 12.29–45.83). Conclusions: Using a simple cumulative measure proved an effective means to capture total burden and established that AC exposure was high and associated with older age and mental health morbidity. This highlights need for comprehensive medication reviews for older people with intellectual disabilities.