991 resultados para Primary aging
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Four different literature parameterizations for the formation and evolution of urban secondary organic aerosol (SOA) frequently used in 3-D models are evaluated using a 0-D box model representing the Los Angeles metropolitan region during the California Research at the Nexus of Air Quality and Climate Change (CalNex) 2010 campaign. We constrain the model predictions with measurements from several platforms and compare predictions with particle- and gas-phase observations from the CalNex Pasadena ground site. That site provides a unique opportunity to study aerosol formation close to anthropogenic emission sources with limited recirculation. The model SOA that formed only from the oxidation of VOCs (V-SOA) is insufficient to explain the observed SOA concentrations, even when using SOA parameterizations with multi-generation oxidation that produce much higher yields than have been observed in chamber experiments, or when increasing yields to their upper limit estimates accounting for recently reported losses of vapors to chamber walls. The Community Multiscale Air Quality (WRF-CMAQ) model (version 5.0.1) provides excellent predictions of secondary inorganic particle species but underestimates the observed SOA mass by a factor of 25 when an older VOC-only parameterization is used, which is consistent with many previous model–measurement comparisons for pre-2007 anthropogenic SOA modules in urban areas. Including SOA from primary semi-volatile and intermediate-volatility organic compounds (P-S/IVOCs) following the parameterizations of Robinson et al. (2007), Grieshop et al. (2009), or Pye and Seinfeld (2010) improves model–measurement agreement for mass concentration. The results from the three parameterizations show large differences (e.g., a factor of 3 in SOA mass) and are not well constrained, underscoring the current uncertainties in this area. Our results strongly suggest that other precursors besides VOCs, such as P-S/IVOCs, are needed to explain the observed SOA concentrations in Pasadena. All the recent parameterizations overpredict urban SOA formation at long photochemical ages (3 days) compared to observations from multiple sites, which can lead to problems in regional and especially global modeling. However, reducing IVOC emissions by one-half in the model to better match recent IVOC measurements improves SOA predictions at these long photochemical ages. Among the explicitly modeled VOCs, the precursor compounds that contribute the greatest SOA mass are methylbenzenes. Measured polycyclic aromatic hydrocarbons (naphthalenes) contribute 0.7% of the modeled SOA mass. The amounts of SOA mass from diesel vehicles, gasoline vehicles, and cooking emissions are estimated to be 16–27, 35–61, and 19–35 %, respectively, depending on the parameterization used, which is consistent with the observed fossil fraction of urban SOA, 71(+-3) %. The relative contribution of each source is uncertain by almost a factor of 2 depending on the parameterization used. In-basin biogenic VOCs are predicted to contribute only a few percent to SOA. A regional SOA background of approximately 2.1 μgm-3 is also present due to the long-distance transport of highly aged OA, likely with a substantial contribution from regional biogenic SOA. The percentage of SOA from diesel vehicle emissions is the same, within the estimated uncertainty, as reported in previous work that analyzed the weekly cycles in OA concentrations (Bahreini et al., 2012; Hayes et al., 2013). However, the modeling work presented here suggests a strong anthropogenic source of modern carbon in SOA, due to cooking emissions, which was not accounted for in those previous studies and which is higher on weekends. Lastly, this work adapts a simple two-parameter model to predict SOA concentration and O/C from urban emissions. This model successfully predicts SOA concentration, and the optimal parameter combination is very similar to that found for Mexico City. This approach provides a computationally inexpensive method for predicting urban SOA in global and climate models. We estimate pollution SOA to account for 26 Tg yr-1 of SOA globally, or 17% of global SOA, one third of which is likely to be non-fossil.
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Problem/purpose. The specific aim of this focused ethnography was to provide insight into the experience of aging of the American Indian (AI) elder as demonstrated by one tribe, the Zuni of New Mexico. Discovering how Zuni elders construct the experience of aging and the associated behaviors allowed the researcher to deconstruct aging and then re-present it in a cogent description for this population. Such a description is lacking in the literature and will be useful in planning for culturally relevant eldercare services. ^ Methods. Ethnographic field techniques were used to sample from elders, pueblo members-at-large, activities, events and places. Over 1800 hrs were spent in the field spanning 14 months and five site visits, with the longest at almost 4 weeks. Developing codes for transcribed interviews, field notes, supplementary documents, photographs, videos, and artifacts was carried out during analysis. Categories and ultimately a cognitive map and model were developed which represented aging in Zuni Pueblo in 2000. ^ Findings. Zuni elders are aging in two worlds. Their primary world has been described as a sevenfold universe, a complicated structure with seven planes wherein the middle plane refers to themselves, a synthesis of all the other planes. The increasing influence of the white world has formed a ‘new middle’ out of which everyday aspects of aging are viewed. ^ Implications for nursing/gerontology. Nurses and others in gerontology must recognize that vast differences in worldviews are present between themselves and AI elders regarding health practices, spirituality, eating patterns, family roles, medicine, religion and countless other aspects of life. Their centuries old beliefs and practices drive these differences coupled with a collision with the white world. Making a paradigm shift using an appropriate lens with which to view these differences can only increase our understanding and efficacy in delivering culturally relevant care. ^
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We address a cognitive radio scenario, where a number of secondary users performs identification of which primary user, if any, is trans- mitting, in a distributed way and using limited location information. We propose two fully distributed algorithms: the first is a direct iden- tification scheme, and in the other a distributed sub-optimal detection based on a simplified Neyman-Pearson energy detector precedes the identification scheme. Both algorithms are studied analytically in a realistic transmission scenario, and the advantage obtained by detec- tion pre-processing is also verified via simulation. Finally, we give details of their fully distributed implementation via consensus aver- aging algorithms.
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ABSTRACT Evaluating the reliability, warranty period, and power degradation of high concentration solar cells is crucial to introducing this new technology to the market. The reliability of high concentration GaAs solar cells, as measured in temperature accelerated life tests, is described in this paper. GaAs cells were tested under high thermal accelerated conditions that emulated operation under 700 or 1050 suns over a period exceeding 10 000 h. Progressive power degradation was observed, although no catastrophic failures occurred. An Arrhenius activation energy of 1.02 eV was determined from these tests. The solar cell reliability [R(t)] under working conditions of 65°C was evaluated for different failure limits (1–10% power loss). From this reliability function, the mean time to failure and the warranty time were evaluated. Solar cell temperature appeared to be the primary determinant of reliability and warranty period, with concentration being the secondary determinant. A 30-year warranty for these 1 mm2-sized GaAs cells (manufactured according to a light emitting diode-like approach) may be offered for both cell concentrations (700 and 1050 suns) if the solar cell is operated at a working temperature of 65°C.
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During the aging process, mammals lose up to a third of their skeletal muscle mass and strength. Although the mechanisms underlying this loss are not entirely understood, we attempted to moderate the loss by increasing the regenerative capacity of muscle. This involved the injection of a recombinant adeno-associated virus directing overexpression of insulin-like growth factor I (IGF-I) in differentiated muscle fibers. We demonstrate that the IGF-I expression promotes an average increase of 15% in muscle mass and a 14% increase in strength in young adult mice, and remarkably, prevents aging-related muscle changes in old adult mice, resulting in a 27% increase in strength as compared with uninjected old muscles. Muscle mass and fiber type distributions were maintained at levels similar to those in young adults. We propose that these effects are primarily due to stimulation of muscle regeneration via the activation of satellite cells by IGF-I. This supports the hypothesis that the primary cause of aging-related impairment of muscle function is a cumulative failure to repair damage sustained during muscle utilization. Our results suggest that gene transfer of IGF-I into muscle could form the basis of a human gene therapy for preventing the loss of muscle function associated with aging and may be of benefit in diseases where the rate of damage to skeletal muscle is accelerated.
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Allostatic load (AL) has been proposed as a new conceptualization of cumulative biological burden exacted on the body through attempts to adapt to life's demands. Using a multisystem summary measure of AL, we evaluated its capacity to predict four categories of health outcomes, 7 years after a baseline survey of 1,189 men and women age 70–79. Higher baseline AL scores were associated with significantly increased risk for 7-year mortality as well as declines in cognitive and physical functioning and were marginally associated with incident cardiovascular disease events, independent of standard socio-demographic characteristics and baseline health status. The summary AL measure was based on 10 parameters of biological functioning, four of which are primary mediators in the cascade from perceived challenges to downstream health outcomes. Six of the components are secondary mediators reflecting primarily components of the metabolic syndrome (syndrome X). AL was a better predictor of mortality and decline in physical functioning than either the syndrome X or primary mediator components alone. The findings support the concept of AL as a measure of cumulative biological burden.
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Thesis (Ph.D.)--University of Washington, 2016-06
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The purpose of this study was to obtain an understanding of older adults' perceptions of independence and the factors that allow them to remain living independently in the community. A questionnaire was mailed to a random sample of 500 community-based older adults. One hundred seventy eight questionnaires were returned (36%). Respondents were asked questions related to independence, self-health rating, functional difficulties, and social supports. Most respondents indicated Mental Health (97%), Physical Health (97%), Control of choices (97%), and Social Support Systems (93%) contributed to maintaining independence in the community. Age, education, fewer chronic health conditions, and a higher self-health rating were found to be significant predictors of actual independence. Family members were identified as the primary source of assistance with advice on major life decisions and financial matters. Findings indicate age, education, health status and the social support of family and friends all play an important role for older adults to live independently in the community. Occupational therapy could be instrumental in extending the health, highest level of independent functioning, and the number of years older adults remain living in the community.
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There is a large gap between life expectancy and healthy life years at age 65. To reduce this gap, it is necessary that people with medical concerns perceived at higher risk of adverse outcomes are readily identified and treated. The same goes for the need to implement prevention plans. The main objectives of this study are to, in a first step, (a) estimate the percentage of medical concerns, (b) identify factors associated with this concern; in a second step, (c) estimate the perceived risk of death, and (d) evaluate the ability of medical concerns to predict this risk. Results show that the existence and severity of medical concerns are crucial in the prediction of perceived risk of death. Early identification of severity of medical concerns and the availability and adequacy of informal caregiving should allow healthcare professionals to promptly initiate an appropriate assessment and treatment of older patients.
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The purpose of the study examined in this article was to understand how non-physician health care professionals working in Canadian primary health care settings facilitate older persons’ access to community support services (CSSs). The use of CSSs has positive impacts for clients, yet they are underused from lack of awareness. Using a qualitative description approach, we interviewed 20 health care professionals from various disciplines and primary health care models about the processes they use to link older patients to CSSs. Participants collaborated extensively with interprofessional colleagues within and outside their organizations to fi nd relevant CSSs. They actively engaged patients and families in making these linkages and ensured follow-up. It was troubling to fi nd that they relied on out-of-date resources and ineffi cient search strategies to fi nd CSSs. Our fi ndings can be used to develop resources and approaches to better support primary health care providers in linking older adults to relevant CSSs.
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Age is the highest risk factor for some of the most prevalent human diseases, including cancer. Telomere shortening is thought to play a central role in the aging process in humans. The link between telomeres and aging is highlighted by the fact that genetic diseases causing telomerase deficiency are associated with premature aging and increased risk of cancer. For the last two decades, this link has been mostly investigated using mice that have long telomeres. However, zebrafish has recently emerged as a powerful and complementary model system to study telomere biology. Zebrafish possess human-like short telomeres that progressively decline with age, reaching lengths in old age that are observed when telomerase is mutated. The extensive characterization of its well-conserved molecular and cellular physiology makes this vertebrate an excellent model to unravel the underlying relationship between telomere shortening, tissue regeneration, aging and disease. In this Review, we explore the advantages of using zebrafish in telomere research and discuss the primary discoveries made in this model that have contributed to expanding our knowledge of how telomere attrition contributes to cellular senescence, organ dysfunction and disease.
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Very old individuals seem to present an admirable capacity to overcome adversities and adapt to the challenges of advanced age. However, studies focusing successful pattern of centenarians found that they may easily fail to be categorized as successful agers when objective criteria are applied. The present study examines if centenarians can be considered successful agers. Following Rowe and Kahn's successful aging model, the primary goal was to clarify whether centenarians are able to be successful agers according to objective and subjective criteria of no major disease and disability, high cognitive and physical functioning and engagement with life. The second goal was to investigate whether socio-demographic factors, psychological, social, and economic resources are related to objective and subjective successful aging profiles.
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Increased risk of bleeding after major orthopedic surgery (MOS) has been widely documented in general population. However, this complication has not been studied in elderly patients. The purpose of this study is to determine whether the risk of major bleeding after MOS is higher in elderly patients, compared with those operated at a younger age. Methods: This retrospective cohort study included total hip and total knee arthroplasty patients operated during 5 consecutive years. The main outcome was the occurrence of major bleeding. Patients with other causes of bleeding were excluded. Relative risks (RRs) and confidence intervals (CIs) were calculated, anda multivariate analysis was performed. Results: A total of 1048 patients were included, 56% of patients were hip arthroplasties. At the time of surgery, 553 (53%) patients were older than 70 years. Patients aged >70 years showed an increased risk of major bleeding (RR: 2.42 [95% CI: 1.54-3.81]). For hip arthroplasty, the RR of bleeding was 2.61 (95%CI: 1.50-4.53) and 2.25 (95% CI: 1.03-4.94) for knee arthroplasty. After multivariate analysis, age was found to be independently associated with higher risk of major bleeding. Conclusion: According to European Medicines Agency criteria, patients aged 70 years are at a higher risk of major bleeding after MOS, result of a higher frequency of blood transfusions in this group of patients. Standardized protocols for blood transfusion in these patients are still required.