We have updated the Regional Emission inventory in ASia (REAS) as version 2.1. REAS 2.1 includes most major air pollutants and greenhouse gases from each year during 2000 and 2008 and following areas ...of Asia: East, Southeast, South, and Central Asia and the Asian part of Russia. Emissions are estimated for each country and region using updated activity data and parameters. Monthly gridded data with a 0.25° × 0.25° resolution are also provided. Asian emissions for each species in 2008 are as follows (with their growth rate from 2000 to 2008): 56.9 Tg (+34%) for SO2, 53.9 Tg (+54%) for NOx, 359.5 Tg (+34%) for CO, 68.5 Tg (+46%) for non-methane volatile organic compounds, 32.8 Tg (+17%) for NH3, 36.4 Tg (+45%) for PM10, 24.7 Tg (+42%) for PM2.5, 3.03 Tg (+35%) for black carbon, 7.72 Tg (+21%) for organic carbon, 182.2 Tg (+32%) for CH4, 5.80 Tg (+18%) for N2O, and 16.0 Pg (+57%) for CO2. By country, China and India were respectively the largest and second largest contributors to Asian emissions. Both countries also had higher growth rates in emissions than others because of their continuous increases in energy consumption, industrial activities, and infrastructure development. In China, emission mitigation measures have been implemented gradually. Emissions of SO2 in China increased from 2000 to 2006 and then began to decrease as flue-gas desulphurization was installed to large power plants. On the other hand, emissions of air pollutants in total East Asia except for China decreased from 2000 to 2008 owing to lower economic growth rates and more effective emission regulations in Japan, South Korea, and Taiwan. Emissions from other regions generally increased from 2000 to 2008, although their relative shares of total Asian emissions are smaller than those of China and India. Tables of annual emissions by country and region broken down by sub-sector and fuel type, and monthly gridded emission data with a resolution of 0.25° × 0.25° for the major sectors are available from the following URL: http://www.nies.go.jp/REAS/.
We developed a new emission inventory for Asia (Regional Emission inventory in ASia (REAS) Version 1.1) for the period 1980–2020. REAS is the first inventory to integrate historical, present, and ...future emissions in Asia on the basis of a consistent methodology. We present here emissions in 2000, historical emissions for 1980–2003, and projected emissions for 2010 and 2020 of SO2, NOx, CO, NMVOC, black carbon (BC), and organic carbon (OC) from fuel combustion and industrial sources. Total energy consumption in Asia more than doubled between 1980 and 2003, causing a rapid growth in Asian emissions, by 28% for BC, 30% for OC, 64% for CO, 108% for NMVOC, 119% for SO2, and 176% for NOx. In particular, Chinese NOx emissions showed a marked increase of 280% over 1980 levels, and growth in emissions since 2000 has been extremely high. These increases in China were mainly caused by increases in coal combustion in the power plants and industrial sectors. NMVOC emissions also rapidly increased because of growth in the use of automobiles, solvents, and paints. By contrast, BC, OC, and CO emissions in China showed decreasing trends from 1996 to 2000 because of a reduction in the use of biofuels and coal in the domestic and industry sectors. However, since 2000, Chinese emissions of these species have begun to increase. Thus, the emissions of air pollutants in Asian countries (especially China) showed large temporal variations from 1980–2003. Future emissions in 2010 and 2020 in Asian countries were projected by emission scenarios and from emissions in 2000. For China, we developed three emission scenarios: PSC (policy success case), REF (reference case), and PFC (policy failure case). In the 2020 REF scenario, Asian total emissions of SO2, NOx, and NMVOC were projected to increase substantially by 22%, 44%, and 99%, respectively, over 2000 levels. The 2020 REF scenario showed a modest increase in CO (12%), a lesser increase in BC (1%), and a slight decrease in OC (−5%) compared with 2000 levels. However, it should be noted that Asian total emissions are strongly influenced by the emission scenarios for China.
•Effective thermal conductivity (ETC) of nanofluids was investigated by MD.•Components of ETC were compared by EMD and NEMD calculations.•Component of solid-solid interaction in a nanoparticle ...affected change of ETC.•EMD and NEMD calculations showed good agreement for not only ETC but also components.
Extensive studies on the effective thermal conductivity (ETC) of nanofluids have been conducted thus far; however, the mechanisms behind the change in ETC remain unclear. In the present study, we investigated the components of the ETC of nanofluids, based on equilibrium molecular dynamics (EMD) and non-EMD (NEMD) calculations, to elucidate more accurately the mechanisms responsible for change in ETC. Until now, the factors affecting ETC have not been revealed clearly, and not compared quantitatively by the EMD and NEMD. This study also aimed to compare the constituents of ETC quantitatively to validate the NEMD calculation as a method for determining the ETC of nanofluids. Our detailed results demonstrate that the primary factors contributing to the change in ETC are thermal transport in liquid–liquid interactions and the solid–solid interactions in nanoparticles. The ETC components related to liquid exhibit consistency between the EMD and NEMD calculations, with less than 5.0% difference. Conversely, although the components related to nanoparticles result in differences of more than 10%, these properties do not appear to have a significant impact on ETC. On the basis of the findings of this study, we are able to calculate consistent results for not only ETC but also its components, via EMD and NEMD, for a liquid system with a spherical nanoparticle.
We investigated the association between glucose tolerance status defined by a 75-g oral glucose tolerance test (OGTT) and the development of dementia.
A total of 1,017 community-dwelling ...dementia-free subjects aged ≥60 years who underwent the OGTT were followed up for 15 years. Outcome measure was clinically diagnosed dementia.
The age- and sex-adjusted incidence of all-cause dementia, Alzheimer disease (AD), and vascular dementia (VaD) were significantly higher in subjects with diabetes than in those with normal glucose tolerance. These associations remained robust even after adjustment for confounding factors for all-cause dementia and AD, but not for VaD (all-cause dementia: adjusted hazard ratio HR = 1.74, 95% confidence interval CI = 1.19 to 2.53, p = 0.004; AD: adjusted HR = 2.05, 95% CI = 1.18 to 3.57, p = 0.01; VaD: adjusted HR = 1.82, 95% CI = 0.89 to 3.71, p = 0.09). Moreover, the risks of developing all-cause dementia, AD, and VaD significantly increased with elevated 2-hour postload glucose (PG) levels even after adjustment for covariates, but no such associations were observed for fasting plasma glucose (FPG) levels: compared with those with 2-hour PG levels of <6.7 mmol/L, the multivariable-adjusted HRs of all-cause dementia and AD significantly increased in subjects with 2-hour PG levels of 7.8 to 11.0 mmol/L or over, and the risk of VaD was significantly higher in subjects with levels of ≥11.1 mmol/L.
Our findings suggest that diabetes is a significant risk factor for all-cause dementia, AD, and probably VaD. Moreover, 2-hour PG levels, but not FPG levels, are closely associated with increased risk of all-cause dementia, AD, and VaD.
The cross-coupling reaction of benzene and cyclohexane molecules proceeded selectively over Pd-modified titanium dioxide photocatalysts under visible light. A ligand-to-metal charge-transfer (LMCT) ...complex of benzene adsorbed on titanium oxide was proposed as the key species for the selective formation of the cross-coupling product.
We have examined satellite glial cell (SGC) proliferation in trigeminal ganglia following chronic constriction injury of the infraorbital nerve. Using BrdU labeling combined with immunohistochemistry ...for SGC specific proteins we positively confirmed proliferating cells to be SGCs. Proliferation peaks at approximately 4 days after injury and dividing SGCs are preferentially located around neurons that are immunopositive for ATF‐3, a marker of nerve injury. After nerve injury there is an increase GFAP expression in SGCs associated with both ATF‐3 immunopositive and immunonegative neurons throughout the ganglia. SGCs also express the non‐glial proteins, CD45 and CD163, which label resident macrophages and circulating leukocytes, respectively. In addition to SGCs, we found some Schwann cells, endothelial cells, resident macrophages, and circulating leukocytes were BrdU immunopositive. GLIA 2013;61:2000–2008
Summary Objective In a rat monoiodoacetic acid (MIA)-induced arthritis model, the amount of MIA commonly used was too high, resulting in rapid bone destruction. We examined the effect of MIA ...concentrations on articular cartilage and infrapatellar fat pad (IFP). We also established an original system for “macroscopic cartilage and bone score” and “IFP inflammation score” specific to the rat MIA-induced arthritis model. Design Male Wistar rats received a single intra-articular injection of MIA in the knee. The amount of MIA was 0.1, 0.2, 0.5, and 1 mg respectively. Articular cartilage was evaluated at 2-12 weeks. IFP was also observed at 3-14 days. Results Macroscopically, low MIA doses induced punctate depressions on the cartilage surface, and cartilage erosion proceeded slowly over 12 weeks, while higher MIA doses already induced cartilage erosion at 2 weeks, followed by bone destruction. MIA macroscopic cartilage and bone score, OARSI histological score, and Mankin score increased in a dose- and time-dependent manner. The IFP inflammation score peaked at 5 days in low dose groups, then decreased, while in high dose groups, the IFP score continued to increase over 14 days due to IFP fibrosis. Conclusions Punctate depressions, cartilage erosion, and bone destruction were observed in the MIA-induced arthritis model. The macroscopic cartilage and bone scoring enabled the quantification of cartilage degeneration and demonstrated that MIA-induced arthritis progressed in a dose- and time-dependent manner. IFP inflammation scores revealed that 0.2 mg MIA induced reversible synovitis, while 1 mg MIA induced fibrosis of the IFP body.
1 Department of Anatomy and 2 Department of Surgery, University of California San Francisco, San Francisco; and 3 Department of Neurosurgery and Gene Therapeutics Research Institute, Cedars–Sinai ...Medical Center, Los Angeles, California
Submitted 30 June 2008;
accepted in final form 14 August 2008
The importance of glial cells in the generation and maintenance of neuropathic pain is becoming widely accepted. We examined the role of glial-specific gap junctions in nociception in the rat trigeminal ganglion in nerve-injured and -uninjured states. The connexin 43 (Cx43) gap-junction subunit was found to be confined to the satellite glial cells (SGCs) that tightly envelop primary sensory neurons in the trigeminal ganglion and we therefore used Cx43 RNA interference (RNAi) to alter gap-junction function in SGCs. Using behavioral evaluation, together with immunocytochemical and Western blot monitoring, we show that Cx43 increased in the trigeminal ganglion in rats with a chronic constriction injury (CCI) of the infraorbital nerve. Reducing Cx43 expression using RNAi in CCI rats reduced painlike behavior, whereas in non-CCI rats, reducing Cx43 expression increased painlike behavior. The degree of painlike behavior in CCI rats and intact, Cx43-silenced rats was similar. Our results support previous suggestions that increases in glial gap junctions after nerve injury increases nociceptive behavior but paradoxically the reduction of gap junctions in normal ganglia also increases nociceptive behavior, possibly a reflection of the multiple functions performed by glia.
Address for reprint requests and other correspondence: P. T. Ohara, Department of Anatomy, University of California San Francisco, San Francisco, CA 95143-0452
It is well established that carbon dioxide (CO2) is the most prominent agent of climate change. The level of CO2 in the atmosphere has been increasing persistently over the last few decades due to ...rising dependence on fossil fuels for energy production. India is facing a potential energy crisis. India has large coal reserves and coal is currently the linchpin of the Indian power sector, making Indian coal-derived emissions a focus of global attention. Further, India's journey from a challenging energy security situation to the 'Make in India' initiative is expected to drive energy needs exponentially. Thus, in the context of a rapidly changing climate, it has become imperative to quantify the emissions of greenhouse gases (GHGs) from emerging coal-based energy plants in India. The present work attempts not only to do this, with the intention of highlighting India's commitment to reducing CO2 emissions, but also to redefine India's future emissions. We draw attention to India's attempt to transform the coal technology used in coal-based thermal power plants. We have tried to adopt a holistic approach to quantify the past (2010), present (2015) and future (2025) emission trends for important GHGs like CO2 and other critical air pollutants from rapidly penetrating low-emission advanced coal technology. Our estimation shows that CO2 emissions will increase from 1065 Tg yr−1 (2015) to 2634 Tg yr−1 (2025), which is approximately 147% of the current value. This rapid increase is largely attributed to rising energy demand due to industrial development, followed by demand from the domestic and agricultural sectors. The present trend of CO2 emissions is sure to propel India to become world's second largest emitter of GHGs in 2025, dislodging the United States. We have also estimated the emission of other pollutants like NOx, SO2, black carbon, organic carbon, particulate matter (PM2.5, PM10), volatile organic compounds and CO. Our findings seem to suggest that India will able to cut CO2 emission from the traditionally dominant thermal power sector by at least 19% in 2025. Present attempts at emission reduction, along with the government's massive initiatives towards building renewable energy infrastructure, could be well aligned to India's Intended Nationally Determined Contribution submission to COP21 of the United Nations Framework Convention on Climate Change. With such a rapid expansion of energy production it can be assumed that cost-effective and uninterrupted power (i.e. 24/7) can be provided to all citizens of the country well before 2025.
This study examines key elements of glutamatergic transmission within sensory ganglia of the rat. We show that the soma of primary sensory neurons release glutamate when depolarized. Using acute ...dissociated mixed neuronal/glia cultures of dorsal root ganglia (DRG) or trigeminal ganglia and a colorimetric assay, we show that when glutamate uptake by satellite glial cells (SGCs) is inhibited, KCl stimulation leads to simultaneous increase of glutamate in the culture medium. With calcium imaging we see that the soma of primary sensory neurons and SGCs respond to AMPA, NMDA, kainate and mGluR agonists, and selective antagonists block this response. Using whole cell patch-clamp technique, inward currents were recorded from small diameter (<30 µm) DRG neurons from intact DRGs (ex-vivo whole ganglion preparation) in response to local application of the above glutamate receptor agonists. Following a chronic constriction injury (CCI) of either the inferior orbital nerve or the sciatic nerve, glutamate expression increases in the trigeminal ganglia and DRG respectively. This increase occurs in neurons of all diameters and is present in the somata of neurons with injured axons as well as in somata of neighboring uninjured neurons. These data provides additional evidence that glutamate can be released within the sensory ganglion, and that the somata of primary sensory neurons as well as SGCs express functional glutamate receptors at their surface. These findings, together with our previous gene knockdown data, suggest that glutamatergic transmission within the ganglion could impact nociceptive threshold.
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Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
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