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Larger Network (larger + network)
Selected AbstractsIncreased cerebral activity in Parkinson's disease patients carrying the DRD2 TaqIA A1 allele during a demanding motor task: a compensatory mechanism?GENES, BRAIN AND BEHAVIOR, Issue 6 2007D. Bartrés-Faz Previous studies suggest that neuroimaging techniques are useful for detecting the effects of functional genetic polymorphisms on brain function in healthy subjects or in patients presenting with psychiatric or neurodegenerative conditions. Former evidence showed that individuals carrying risk alleles displayed broader patterns of brain activity during behavioural and cognitive tasks, despite being clinically comparable to non-carriers. This suggests the presence of compensatory brain mechanisms. In the present study, we investigated this effect in Parkinson's disease (PD) patients carrying the DRD2 TaqIA A1 allelic variant. This variant may confer an increased risk of developing the disease and/or influence the clinical presentation. During a complex sequential motor task, we evidenced by functional magnetic resonance imaging that A1 allele carriers activated a larger network of bilateral cerebral areas than non-carriers, including cerebellar and premotor regions. Both groups had similar clinical and demographic measures. In addition, their motor performance during the functional magnetic resonance experiment was comparable. Therefore, our conclusions, pending replication in a larger sample, seem to reflect the recruitment of compensatory cerebral resources during motor processing in PD patients carrying the A1 allele. [source] Meeting the advocacy needs of people who have been abused by health and social care practitionersJOURNAL OF COMMUNITY & APPLIED SOCIAL PSYCHOLOGY, Issue 5 2001Jennie Williams Abstract The Prevention of Professional Abuse Network (POPAN) is the first national organization within the UK to address the problem of the abuse of clients and patients by health and social care providers. POPAN has a small staff group of eight people and a larger network of advisers, supporters and allies; its activities include campaigning, training, consultancy, and the provision of information, advice and advocacy. Jennie Williams is a clinical psychologist and trustee of POPAN, she has supported the development of the organization since the early 1990s; Jo Nash was the main person involved in the development and provision of the advocacy service between September 1997 to January 2000. This is the edited version of a taped and transcribed interview that took place in 1999. Jo Nash is uniquely placed to provide information of significance to anyone using or providing health and social care services. Her work as an advocate has given her a very particular insight into the challenges faced by those seeking redress for professional abuse, and she has first hand experience of providing advocacy to people who are vulnerable and reluctant to trust anyone offering help. In this interview Jo Nash directs attention to the considerable limitations in current complaints systems, practices and procedures, and offers comment on the implications for change. Her work with POPAN provides continual reminders of the importance of prevention, and she identifies a number of ways in which action can be taken to prevent health and social care practitioners abusing their patients and clients. Copyright © 2001 John Wiley & Sons, Ltd. [source] The Social Ecology of Marriage and Other Intimate UnionsJOURNAL OF MARRIAGE AND FAMILY, Issue 2 2000Ted L. Huston This article provides an interdisciplinary framework for studying marital and other intimate relationships. Three levels of analysis are distinguished: (a) the society, characterized in terms of both macrosocietal forces and the ecological niches within which particular spouses and couples function; (b) the individual spouses, including their psychosocial and physical attributes, as well as the attitudes and beliefs they have about each other and their relationship; and (c) the marriage relationship, viewed as a behavioral system embedded within a larger network of close relationships. The discussion focuses primarily on the interplay between the spouses and their marriage, emphasizing the importance of distinguishing, both analytically and operationally, the individual from the dyadic (or group) levels of analysis. It is also argued that in order to appreciate how marriages work, social scientists must understand not only how these 2 levels of analysis interpenetrate each other but also how macrosocietal forces and the ecological niches within which couples live impinge on partners and their marital relationship. [source] Influence of social network characteristics on cognition and functional status with agingINTERNATIONAL JOURNAL OF GERIATRIC PSYCHIATRY, Issue 9 2008Ariel Frank Green Abstract Objective To determine whether more frequent engagement in larger social networks, and more emotional support protect against cognitive and functional decline with aging. Methods We examined the influence of social networks on cognition and instrumental activities of daily living (IADLs) over a median interval of 10.9 years. Data were from the Baltimore follow-up of the Epidemiologic Catchment Area (ECA) study, a community-based sample of adults in eastern Baltimore. Eight hundred and seventy-four participants completed cognitive testing at both the third and fourth study waves (1993,1996 and 2003,2004) on the Mini-Mental State Examination (MMSE) and a delayed word recall task. Functional status at both waves was self-reported on the Lawton-Brody IADL scale. Social network characteristics, assessed at the third study wave, included network size, frequency of contact, and emotional support. Results In cross-sectional analyses at wave 3, larger networks were associated with higher MMSE and better delayed recall scores. This association persisted after adjustment for covariates. More emotional support was associated with better functional status, before and after adjustment. By contrast, social networks were not longitudinally associated with cognitive change, with two counter-intuitive exceptions: more frequent contact and more emotional support were associated with worse delayed recall and IADL scores after adjustment. Conclusions There was no evidence of a longitudinal association between social networks and cognition or IADLs, although a clear cross-sectional association exists. Together, these findings suggest the emergence of social isolation in individuals declining in cognition and functioning, rather than a protective effect of social networks. Copyright © 2008 John Wiley & Sons, Ltd. [source] Network board continuity and effectiveness of open innovation in Swedish strategic small-firm networksR & D MANAGEMENT, Issue 1 2009Joakim Wincent Increasing adoption of open innovation as an alternative route to research and development necessitates the development of new ways to organize innovation, as well as reassessment of existing ways. Much like traditional corporations that subscribe to the closed innovation paradigm, novel organizational arrangements targeting open innovation, such as small-firm networks, employ boards to effectively manage joint research-and-development activities. These boards are similar yet different from traditional corporate boards; as such, they may have different requirements for proper functioning. We use 5-year longitudinal data on 53 Swedish strategic small-firm networks to investigate how the boards should be organized to help improve the innovative status of network participants. We expand the set of tools available for effective organization of the boards' operations and emphasize the effects of network board continuity (rates of renewal) on network members' innovative performance. We argue that the relationship is curvilinear (U-shaped) and demonstrate that it is more pronounced in larger networks. [source] Prediction of metabolic function from limited data: Lumped hybrid cybernetic modeling (L-HCM)BIOTECHNOLOGY & BIOENGINEERING, Issue 2 2010Hyun-Seob Song Abstract Motivated by the need for a quick quantitative assessment of metabolic function without extensive data, we present an adaptation of the cybernetic framework, denoted as the lumped hybrid cybernetic model (L-HCM), which combines the attributes of the classical lumped cybernetic model (LCM) and the recently developed HCM. The basic tenet of L-HCM and HCM is the same, that is, they both view the uptake flux as being split among diverse pathways in an optimal way as a result of cellular regulation such that some chosen metabolic objective is realized. The L-HCM, however, portrays this flux distribution to occur in a hierarchical way, that is, first among lumped pathways, and next among individual elementary modes (EM) in each lumped pathway. Both splits are described by the cybernetic control laws using operational and structural return-on-investments, respectively. That is, the distribution of uptake flux at the first split is dynamically regulated according to environmental conditions, while the subsequent split is based purely on the stoichiometry of EMs. The resulting model is conveniently represented in terms of lumped pathways which are fully identified with respect to yield coefficients of all products unlike classical LCMs based on instinctive lumping. These characteristics enable the model to account for the complete set of EMs for arbitrarily large metabolic networks despite containing only a small number of parameters which can be identified using minimal data. However, the inherent conflict of questing for quantification of larger networks with smaller number of parameters cannot be resolved without a mechanism for parameter tuning of an empirical nature. In this work, this is accomplished by manipulating the relative importance of EMs by tuning the cybernetic control of mode-averaged enzyme activity with an empirical parameter. In a case study involving aerobic batch growth of Saccharomyces cerevisiae, L-HCM is compared with LCM. The former provides a much more satisfactory prediction than the latter when parameters are identified from a few primary metabolites. On the other hand, the classical model is more accurate than L-HCM when sufficient datasets are involved in parameter identification. In applying the two models to a chemostat scenario, L-HCM shows a reasonable prediction on metabolic shift from respiration to fermentation due to the Crabtree effect, which LCM predicts unsatisfactorily. While L-HCM appears amenable to expeditious estimates of metabolic function with minimal data, the more detailed dynamic models [such as HCM or those of Young et al. (Young et al., Biotechnol Bioeng, 2008; 100: 542,559)] are best suited for accurate treatment of metabolism when the potential of modern omic technology is fully realized. However, in view of the monumental effort surrounding the development of detailed models from extensive omic measurements, the preliminary insight into the behavior of a genotype and metabolic engineering directives that can come from L-HCM is indeed valuable. Biotechnol. Bioeng. 2010;106: 271,284. © 2010 Wiley Periodicals, Inc. [source] | ||||||||||