28 research outputs found
Analysis of the X(1835) and related baryonium states with Bethe-Salpeter equation
In this article, we study the mass spectrum of the baryon-antibaryon bound
states , , ,
, , ,
and with the Bethe-Salpeter
equation. The numerical results indicate that the ,
, , ,
, bound states maybe exist, and
the new resonances X(1835) and X(2370) can be tentatively identified as the
and (or ) bound states respectively
with some gluon constituents, and the new resonance X(2120) may be a
pseudoscalar glueball. On the other hand, the Regge trajectory favors
identifying the X(1835), X(2120) and X(2370) as the excited
mesons with the radial quantum numbers , 4 and 5, respectively.Comment: 13 pages, 2 figures, revise a numbe
Risk profiles and one-year outcomes of patients with newly diagnosed atrial fibrillation in India: Insights from the GARFIELD-AF Registry.
BACKGROUND: The Global Anticoagulant Registry in the FIELD-Atrial Fibrillation (GARFIELD-AF) is an ongoing prospective noninterventional registry, which is providing important information on the baseline characteristics, treatment patterns, and 1-year outcomes in patients with newly diagnosed non-valvular atrial fibrillation (NVAF). This report describes data from Indian patients recruited in this registry. METHODS AND RESULTS: A total of 52,014 patients with newly diagnosed AF were enrolled globally; of these, 1388 patients were recruited from 26 sites within India (2012-2016). In India, the mean age was 65.8 years at diagnosis of NVAF. Hypertension was the most prevalent risk factor for AF, present in 68.5% of patients from India and in 76.3% of patients globally (P < 0.001). Diabetes and coronary artery disease (CAD) were prevalent in 36.2% and 28.1% of patients as compared with global prevalence of 22.2% and 21.6%, respectively (P < 0.001 for both). Antiplatelet therapy was the most common antithrombotic treatment in India. With increasing stroke risk, however, patients were more likely to receive oral anticoagulant therapy [mainly vitamin K antagonist (VKA)], but average international normalized ratio (INR) was lower among Indian patients [median INR value 1.6 (interquartile range {IQR}: 1.3-2.3) versus 2.3 (IQR 1.8-2.8) (P < 0.001)]. Compared with other countries, patients from India had markedly higher rates of all-cause mortality [7.68 per 100 person-years (95% confidence interval 6.32-9.35) vs 4.34 (4.16-4.53), P < 0.0001], while rates of stroke/systemic embolism and major bleeding were lower after 1 year of follow-up. CONCLUSION: Compared to previously published registries from India, the GARFIELD-AF registry describes clinical profiles and outcomes in Indian patients with AF of a different etiology. The registry data show that compared to the rest of the world, Indian AF patients are younger in age and have more diabetes and CAD. Patients with a higher stroke risk are more likely to receive anticoagulation therapy with VKA but are underdosed compared with the global average in the GARFIELD-AF. CLINICAL TRIAL REGISTRATION-URL: http://www.clinicaltrials.gov. Unique identifier: NCT01090362
Code warriors and code-a-phobes: a study in attitude and pair programming
This paper reports on how first-year students who have programmed before see their programming interest and ability and how this self-perception relates to their performance in the introductory programming course. In particular we examine how this self-perception is reflected in their reactions to the pairprogramming technique for developing software. Students who had programming experience before University were given a survey that placed them on a scale that we have called Code Warrior to Code-a-phobe. We then placed them in âopposite â and âsimilar â pairs for a pair programming exercise and surveyed their reactions. There was evidence that students who have considerable self-confidence do not enjoy the experience of pair programming as much as other students and that students produce their best work when placed in pairs with students of similar self-confidence levels
Topography and time shape mire morphometry and large-scale mire distribution patterns in the northern boreal landscape
Peatlands are major terrestrial soil carbon stores, and open mires in boreal landscapes hold a considerable fraction of the global peat carbon. Despite decades of study, large-scale spatiotemporal analyses of mire arrangement have been scarce, which has limited our ability to scale-up mire properties, such as carbon accumulation to the landscape level. Here, we use a land-uplift mire chronosequence in northern Sweden spanning 9,000Â years to quantify controls on mire distribution patterns. Our objectives include assessing changes in the spatial arrangement of mires with land surface age, and understanding modifications by upland hydrotopography. Characterizing over 3,000 mires along a 30Â km transect, we found that the time since land emergence from the sea was the dominant control over mire coverage, especially for the establishment of large mire complexes. Mires at the youngest end of the chronosequence were small with heterogenous morphometry (shape, slope, and catchment-to-mire areal ratios), while mires on the oldest surfaces were variable in size, but included larger mires with more complex shapes and smaller catchment-to-mire ratios. In general, complex topography fragmented mires by constraining the lateral expansion, resulting in a greater number of mires, but reduced total mire area regardless of landscape age. Mires in this study area occurred on slopes up to 4%, indicating a hydrological boundary to peatland expansion under local climatic conditions. The consistency in mire responses to spatiotemporal controls illustrates how temporal limitation in peat initiation and accumulation, and topographic constraints to mire expansion together have shaped present day mire distribution patterns
Civilisationism, the âalt-rightâ and the future of anti-racist politics:a bulletin from Britain
Our goal is to automatically detect patterns of crime. Among
a large set of crimes that happen every year in a major city, it is challenging,
time-consuming, and labor-intensive for crime analysts to determine
which ones may have been committed by the same individual(s). If automated,
data-driven tools for crime pattern detection are made available
to assist analysts, these tools could help police to better understand patterns
of crime, leading to more precise attribution of past crimes, and
the apprehension of suspects. To do this, we propose a pattern detection
algorithm called Series Finder, that grows a pattern of discovered crimes
from within a database, starting from a \seed" of a few crimes. Series
Finder incorporates both the common characteristics of all patterns and
the unique aspects of each speci c pattern, and has had promising results
on a decade's worth of crime pattern data collected by the Crime
Analysis Unit of the Cambridge Police Department.Lincoln LaboratoryNational Science Foundation (U.S.) (CAREER IIS-1053407