1,724,392 research outputs found
Measurement of and production asymmetries in 7 and 8TeV collisions at LHCb
Full text linkThe hadron production asymmetries are mea-sured using a data sample corresponding to an integrated luminosity of 3.0 fb,collected by the LHCb experiment in proton-proton collisions at centre-of-mass en-ergies of 7 and 8 TeV. The measurements are performed as a function of transversemomentum and rapidity of thebhadrons within the LHCb detector acceptance. Theoverall production asymmetries, integrated over transverse momentum and rapidity,are also determined
Measurement of asymmetries in and decays at LHCb
Full text linkThe LHCb experiment has been designed to perform precision measurements in the flavour physics sector at the Large Hadron Collider (LHC). The measurement of the CP-violating observable defined as ΔACP = ACP (Λ0b → pK − ) − ACP (Λ0b → pπ − ), where ACP (Λ0b → pK − ) and ACP (Λ0b → pπ − ) are the direct CP asymmetries in Λ0b → pK − and Λ0b → pπ − decays, is presented for the first time using LHCb data. Using the full 2011 and 2012 data sets of pp collisions collected with the LHCb detector, corresponding to an integrated luminosity of about 3 fb −1, the value ΔACP = (0.8 ± 2.1 ± 0.2)% is obtained. The first uncertainty is statistical and the second corresponds to one of the dominant systematic effects. As the result is compatible with zero, no evidence of CP violation is found. This is the most precise measurement of CP violation in the decays of baryons containing the b quark to date. Once the analysis will be completed with an exhaustive study of systematic uncertainties, the results will be published by the LHCb Collaboration
The silent killer. The donkey as personification of illness in Northern Indian medical folklore
No full textProduction asymmetries of b and c-hadrons at LHCb
No full textUsing a data sample corresponding to an integrated luminosity of 1.0 fb(-1), collected by LHCb in pp collisions at a centre-of-mass energy of 7 TeV, the D(+), D(+), B(0) and B(s) (0) production asymmetries are determined. These quantities are measured by means of D(s) (+) →ϕ(K(+)K(-) )π(+), D (+) →Ks (0)(π(+)π(-))π(+), B (0)→J/ψ(μ(+)μ(-))K(*0)(K(+) π-), B (0)(→) D (-)(K (+)π(-)π(-))π(+) and B(s) (0)→D(s) (-)(K (+) K (-)π(-))π(+) decays. Moreover, using the full LHCb Run 1 integrated luminosity, corresponding to 1.0 fb(-1) at 7 TeV and 2.0 fb(-1) at 8 TeV, the production and decay asymmetry of the Λ(0) ( )b( ) baryon, A( )P(+)D( )(Λ(0) (b)), is determined by means of Λ(0) (b) →J/ φ(μ(+)μ(-))pK (–) decays. All asymmetries are measured as a function of p ( )T( ) and y (or η in the D (+), B (0) and B (s) (0) cases) of the involved hadrons, in order to check if there is a dependence on kinematics
Elective surgery system strengthening: development, measurement, and validation of the surgical preparedness index across 1632 hospitals in 119 countries
Full text linkBackground: The 2015 Lancet Commission on global surgery identified surgery and anaesthesia as indispensable parts of holistic health-care systems. However, COVID-19 exposed the fragility of planned surgical services around the world, which have also been neglected in pandemic recovery planning. This study aimed to develop and validate a novel index to support local elective surgical system strengthening and address growing backlogs.
Methods: First, we performed an international consultation through a four-stage consensus process to develop a multidomain index for hospital-level assessment (surgical preparedness index; SPI). Second, we measured surgical preparedness across a global network of hospitals in high-income countries (HICs), middle-income countries (MICs), and low-income countries (LICs) to explore the distribution of the SPI at national, subnational, and hospital levels. Finally, using COVID-19 as an example of an external system shock, we compared hospitals' SPI to their planned surgical volume ratio (SVR; ie, operations for which the decision for surgery was made before hospital admission), calculated as the ratio of the observed surgical volume over a 1-month assessment period between June 6 and Aug 5, 2021, against the expected surgical volume based on hospital administrative data from the same period in 2019 (ie, a pre-pandemic baseline). A linear mixed-effects regression model was used to determine the effect of increasing SPI score.
Findings: In the first phase, from a longlist of 103 candidate indicators, 23 were prioritised as core indicators of elective surgical system preparedness by 69 clinicians (23 [33%] women; 46 [67%] men; 41 from HICs, 22 from MICs, and six from LICs) from 32 countries. The multidomain SPI included 11 indicators on facilities and consumables, two on staffing, two on prioritisation, and eight on systems. Hospitals were scored from 23 (least prepared) to 115 points (most prepared). In the second phase, surgical preparedness was measured in 1632 hospitals by 4714 clinicians from 119 countries. 745 (45·6%) of 1632 hospitals were in MICs or LICs. The mean SPI score was 84·5 (95% CI 84·1-84·9), which varied between HIC (88·5 [89·0-88·0]), MIC (81·8 [82·5-81·1]), and LIC (66·8 [64·9-68·7]) settings. In the third phase, 1217 (74·6%) hospitals did not maintain their expected SVR during the COVID-19 pandemic, of which 625 (51·4%) were from HIC, 538 (44·2%) from MIC, and 54 (4·4%) from LIC settings. In the mixed-effects model, a 10-point increase in SPI corresponded to a 3·6% (95% CI 3·0-4·1; p<0·0001) increase in SVR. This was consistent in HIC (4·8% [4·1-5·5]; p<0·0001), MIC (2·8 [2·0-3·7]; p<0·0001), and LIC (3·8 [1·3-6·7%]; p<0·0001) settings.
Interpretation: The SPI contains 23 indicators that are globally applicable, relevant across different system stressors, vary at a subnational level, and are collectable by front-line teams. In the case study of COVID-19, a higher SPI was associated with an increased planned surgical volume ratio independent of country income status, COVID-19 burden, and hospital type. Hospitals should perform annual self-assessment of their surgical preparedness to identify areas that can be improved, create resilience in local surgical systems, and upscale capacity to address elective surgery backlogs.
Funding: National Institute for Health Research (NIHR) Global Health Research Unit on Global Surgery, NIHR Academy, Association of Coloproctology of Great Britain and Ireland, Bowel Research UK, British Association of Surgical Oncology, British Gynaecological Cancer Society, and Medtronic
Hiltebeitel, A., Dharma. Its Early History in Law, Religion, and Narrative, Oxford and New York: Oxford University Press, 2011
No full textRakesh Batabyal, Communalism in Bengal. From Famine to Noakhali, 1943-47, New Delhi & London, Sage Publications, 2005
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