This article presents an overview and a flavour of almost two decades of MARKAL model developments and selected applications. The MARKAL family of models has been contributing to energy/environmental planning since the early 1980's. Under the auspices of the International Energy Agency's (IEA) Energy Technology Systems Analysis Programme (ETSAP) the model started as a linear programming (LP) application focused strictly on the integrated assessment of energy systems. It was followed by a non-linear programming (NLP) formulation which combines the 'bottom-up' technology model with a 'top-down' simplified macro-economic model. In recent years, the family was enlarged by members to model material flows, to employ stochastic programming (SP) to address future uncertainties, to model endogenous technology learning using mixed integer programming (MIP) techniques, and to model multiple regions (NLP/LP).
The extracellular matrix has been shown to influence the differentiation of epithelial cells. To identify cues from the extracellular matrix controlling the differentiation of tracheal gland serous cells, we examined the effects of culturing these cells on various extracellular matrix proteins. Bovine tracheal gland (BTG) serous cells attached to Type IV collagen (COL IV), laminin (LM), and fibronectin (FN) in a concentration-dependent manner. Morphologic analysis showed that cells formed confluent monolayers on COL IV or LM, whereas on FN, cells formed birefringent spheres. Metabolic labeling experiments showed that [35S]methionine-labeled protein bands at 68, 105, and 120 kD were prominent when cells were grown on COL IV or LM, but were lost or reduced when the cells were grown on FN. COL IV also enhanced the expression of proteins at 14, 16.5, 18, and 21.5 kD. Attachment to all substrates was inhibited by an antibody directed against beta 1 integrins. This antibody precipitated several integrin heterodimers from a BTG cell membrane extract, caused partial retraction of cells from all substrates, and strongly suppressed the expression of COL IV- and LM-dependent proteins. Control experiments indicated that the latter did not require conspicuous changes in cell shape. These results show that some biochemical properties of serous cells are regulated by integrin-mediated effects of extracellular matrix proteins in vitro and suggest that similar regulation may occur during normal development and remodeling of the glands in vivo.
Although hematopoietic cell transplantation (HCT) is an effective treatment option for patients with life-threatening blood, immune system, or genetic disorders, many barriers besides a lack of suitably matched donors exist and can have an adverse impact on access and outcomes of HCT. In 2008, the National Marrow Donor Program, through its Office of Patient Advocacy, convened a diverse group of experts and transplantation survivors to identify persistent patient barriers throughout the transplantation process and to make recommendations for programs and initiatives to address these barriers, including new research opportunities. This group included transplantation physicians and other health care providers, relevant subject experts, and representatives from transplantation centers and patient advocacy organizations. Working groups were formed to identify patient barriers to HCT and to recommend and prioritize initiatives as they relate to the pretransplantation period, the early posttransplantation period, long-term survivorship, financial issues, and special populations. This report summarizes the symposium's deliberations and recommendations to address persistent patient barriers throughout the transplantation process.
This study aims to assess the current and future air pollution and associated health impacts in Pakistan. In this study, the Pakistan Integrated Energy Model (Pak-IEM) is used to assess current and future energy consumption in Pakistan. To assess air pollution levels and associated health impacts, we used the Greenhouse gas and Air pollution INteractions and Synergies (GAINS) model. A linkage has been established between both the models to feed the energy outputs from Pak-IEM into GAINS for exploring different scenarios. Mainly, the emissions of three air pollutants (SO, NO, and PM) as well as the associated health impacts of increased emissions are assessed. Baseline emission scenario (BES) shows a growth in emissions of SO, NO, and PM by a factor of 2.4, 2.2, and 2.5 between 2007 and 2030. In terms of health impacts, by 2030, annual mean concentrations of fine particles (PM) would increase to more than 150 μg/m in some parts of Punjab region of Pakistan, for which loss in statistical life expectancy is calculated to increase from 30 to 60 months in 2007 up to 60-100 months in 2030 on average.
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