118 research outputs found
Comments on Noncommutative Sigma Models
We review the derivation of a noncommutative version of the nonlinear sigma
model on \CPn and it's soliton solutions for finite emphasizing the
similarities it bears to the GMS scalar field theory. It is also shown that
unlike the scalar theory, some care needs to be taken in defining the
topological charge of BPS solitons of the theory due to nonvanishing surface
terms in the energy functional. Finally it is shown that, like its commutative
analogue, the noncommutative \CPn-model also exhibits a non-BPS sector.
Unlike the commutative case however, there are some surprises in the
noncommutative case that merit further study.Comment: 22 pages, 4 figures, LaTeX (JHEP3), Minor changes, Discussion
expanded and references adde
Partial Wave Analysis of
BES data on are presented. The
contribution peaks strongly near threshold. It is fitted with a
broad resonance with mass MeV, width MeV. A broad resonance peaking at 2020 MeV is also required
with width MeV. There is further evidence for a component
peaking at 2.55 GeV. The non- contribution is close to phase
space; it peaks at 2.6 GeV and is very different from .Comment: 15 pages, 6 figures, 1 table, Submitted to PL
Improvement in municipal wastewater treatment alters lake nitrogen to phosphorus ratios in populated regions
Large-scale and rapid improvement in wastewater treatment is common practice in developing countries, yet this influence on nutrient regimes in receiving waterbodies is rarely examined at broad spatial and temporal scales. Here, we present a study linking decadal nutrient monitoring data in lakes with the corresponding estimates of five major anthropogenic nutrient discharges in their surrounding watersheds over time. Within a continuous monitoring dataset covering the period 2008 to 2017, we find that due to different rates of change in TN and TP concentrations, 24 of 46 lakes, mostly located in China's populated regions, showed increasing TN/TP mass ratios; only 3 lakes showed a decrease. Quantitative relationships between in-lake nutrient concentrations (and their ratios) and anthropogenic nutrient discharges in the surrounding watersheds indicate that increase of lake TN/TP ratios is associated with the rapid improvement in municipal wastewater treatment. Due to the higher removal efficiency of TP compared with TN, TN/TP mass ratios in total municipal wastewater discharge have continued to increase from a median of 10.7 (95% confidence interval, 7.6 to 15.1) in 2008 to 17.7 (95% confidence interval, 13.2 to 27.2) in 2017. Improving municipal wastewater collection and treatment worldwide is an important target within the 17 sustainable development goals set by the United Nations. Given potential ecological impacts on biodiversity and ecosystem function of altered nutrient ratios in wastewater discharge, our results suggest that long-term strategies for domestic wastewater management should not merely focus on total reductions of nutrient discharges but also consider their stoichiometric balance
Major vault protein suppresses obesity and atherosclerosis through inhibiting IKK-NF-kappa B signaling mediated inflammation
Macrophage-orchestrated, low-grade chronic inflammation plays a pivotal role in obesity and
atherogenesis. However, the underlying regulatory mechanisms remain incompletely
understood. Here, we identify major vault protein (MVP), the main component of unique
cellular ribonucleoprotein particles, as a suppressor for NF-κB signaling in macrophages. Both
global and myeloid-specific MVP gene knockout aggravates high-fat diet induced obesity,
insulin resistance, hepatic steatosis and atherosclerosis in mice. The exacerbated metabolic
disorders caused by MVP deficiency are accompanied with increased macrophage infiltration
and heightened inflammatory responses in the microenvironments. In vitro studies reveal that
MVP interacts with TRAF6 preventing its recruitment to IRAK1 and subsequent oligomerization and ubiquitination. Overexpression of MVP and its α-helical domain inhibits the
activity of TRAF6 and suppresses macrophage inflammation. Our results demonstrate that
macrophage MVP constitutes a key constraint of NF-κB signaling thereby suppressing
metabolic diseases
Large expert-curated database for benchmarking document similarity detection in biomedical literature search
Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe
Understanding the impact of built environment on metro ridership using open source in Shanghai
A growing body of research using the direct demand model has explored the impact of the built environment on transit ridership. However, empirical studies identified various significant factors in different cities with different datasets. This study adopts points-of-interest (POIs) data to identify the physical environmental factors affecting metro ridership in Shanghai. Independent variables in terms of the rail transit system, external connectivity, intermodal connection, and land use factors within 286 metro stations\u27 catchment areas were selected. Principal component analysis (PCA) was used to group POIs into 6 components for dimensionality reduction. The results from ordinary least squares (OLS) regression analysis emphasize the dominating role of commercial land use and rail transit system factors, together with bus stops, tourist spots and healthcare factors, positively impact both weekday and weekend metro ridership; however, the effect of job-related land use is significant only on weekdays. Distinctively, the variable of intersection density is not positively associated with ridership as expected, revealing that street network measurements may not explain walking to rail transit in the citywide Shanghai context, so we suggest a new requirement: a multilevel-based walkability index in dense cities. The latter finding also implied that residences in central locations are less reliable than those in suburban locations. Finally, we conclude with strategies to encourage balanced trip demands other than simply increasing ridership, which has potential implications on urban planning and transit-oriented development (TOD) in China
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