The MSSM prediction for W+/- H-/+ production by gluon fusion

We discuss the associated W+/- H-/+ production in p p collision for the Large Hadron Collider. A complete one-loop calculation of the loop-induced subprocess g g -> W+/- H-/+ is presented in the framework of the Minimal Supersymmetric Standard Model (MSSM), and the possible enhancement of the hadronic cross section is investigated under the constraint from the squark direct-search results and the low-energy precision data. Because of the large destructive interplay in the quark-loop contributions between triangle-type and box-type diagrams, the squark-loop contributions turn out to be comparable with the quark-loop ones. In particular, the hadronic cross section via gluon fusion can be extensively enhanced by squark-pair threshold effects in the box-type diagrams, so that it can be as large as the hadronic cross section via the b b-bar -> W+/- H-/+ subprocess which appears at tree level.Comment: 35 pages, 7 figures, version to appear in Physical Review

O(αs)O(\alpha_s) Corrections to bbˉ→W±H∓b \bar b \to W^{\pm}H^{\mp} at the CERN Large Hadron Collider

The $O(\alpha_{s})$ corrections to the cross section for $b \bar b \to W^{\pm}H^{\mp}$ at the LHC are calculated in the minimal supersymmetric standard model (MSSM) in the $\bar{MS}$ and OS (on-mass-shell) renormalization schemes. The results in two schemes are in good agreement. In the $\bar{MS}$ scheme, the QCD corrections are negative and within $-14$ for charged Higgs mass up to 1 TeV and $\tan\beta >15$. For $\tan\beta =2$, the magnitude of the QCD corrections can be greater than 30%.Comment: Initial-gluon contribution added, version to appear in PR

The management of acute venous thromboembolism in clinical practice. Results from the European PREFER in VTE Registry

Venous thromboembolism (VTE) is a significant cause of morbidity and mortality in Europe. Data from real-world registries are necessary, as clinical trials do not represent the full spectrum of VTE patients seen in clinical practice. We aimed to document the epidemiology, management and outcomes of VTE using data from a large, observational database. PREFER in VTE was an international, non-interventional disease registry conducted between January 2013 and July 2015 in primary and secondary care across seven European countries. Consecutive patients with acute VTE were documented and followed up over 12 months. PREFER in VTE included 3,455 patients with a mean age of 60.8 ± 17.0 years. Overall, 53.0 % were male. The majority of patients were assessed in the hospital setting as inpatients or outpatients (78.5 %). The diagnosis was deep-vein thrombosis (DVT) in 59.5 % and pulmonary embolism (PE) in 40.5 %. The most common comorbidities were the various types of cardiovascular disease (excluding hypertension; 45.5 %), hypertension (42.3 %) and dyslipidaemia (21.1 %). Following the index VTE, a large proportion of patients received initial therapy with heparin (73.2 %), almost half received a vitamin K antagonist (48.7 %) and nearly a quarter received a DOAC (24.5 %). Almost a quarter of all presentations were for recurrent VTE, with >80 % of previous episodes having occurred more than 12 months prior to baseline. In conclusion, PREFER in VTE has provided contemporary insights into VTE patients and their real-world management, including their baseline characteristics, risk factors, disease history, symptoms and signs, initial therapy and outcomes

Prophylaxis against venous thromboembolism in patients with cancer

Prophylaxis against venous thromboembolism in patients with cancer

Thromboprophylaxis in patients with stroke: A delicate decision

Thromboprophylaxis in patients with stroke: A delicate decisio

Excavating Archaeological Texts: Applying Digital Humanities to the Study of Archaeological Thought and Banal Nationalism

To date, the evolution of archaeological knowledge production and theory has been discussed and analyzed using qualitative methods by reading vast amounts of archaeological texts in search of specific discourses or framings of the past. In this paper, we present text mining methodologies from digital humanities that can be applied to large corpora of archaeological texts to trace and evaluate changing knowledge practices. Such a big data approach is imperative. Due to the rapid increase of archaeological publications, qualitative research into the intellectual history of archaeology has become complicated and highly selective. The big data methods presented in this study were tested on a large corpus (4,811 texts totaling over 51 million words) of different types of archaeological texts from the Dutch-speaking part of Belgium. The different text mining tools were successful in identifying theoretical trends. Our tools were also successful in charting the decrease in quality due to changed organizational circumstances (developer-led archaeology). Furthermore, we could also map changing banal nationalist framings of the past