Search for Dark Matter and Supersymmetry with a Compressed Mass Spectrum in the Vector Boson Fusion Topology in Proton-Proton Collisions at root s=8 TeV

Peer reviewe

How parents choose to use CAM: a systematic review of theoretical models

Background: Complementary and Alternative Medicine (CAM) is widely used throughout the UK and the Western world. CAM is commonly used for children and the decision-making process to use CAM is affected by numerous factors. Most research on CAM use lacks a theoretical framework and is largely based on bivariate statistics. The aim of this review was to identify a conceptual model which could be used to explain the decision-making process in parental choice of CAM. Methods: A systematic search of the literature was carried out. A two-stage selection process with predetermined inclusion/exclusion criteria identified studies using a theoretical framework depicting the interaction of psychological factors involved in the CAM decision process. Papers were critically appraised and findings summarised. Results: Twenty two studies using a theoretical model to predict CAM use were included in the final review; only one examined child use. Seven different models were identified. The most commonly used and successful model was Andersen's Sociobehavioural Model (SBM). Two papers proposed modifications to the SBM for CAM use. Six qualitative studies developed their own model. Conclusion: The SBM modified for CAM use, which incorporates both psychological and pragmatic determinants, was identified as the best conceptual model of CAM use. This model provides a valuable framework for future research, and could be used to explain child CAM use. An understanding of the decision making process is crucial in promoting shared decision making between healthcare practitioners and parents and could inform service delivery, guidance and policy

Going against the herd: psychological and cultural factors underlying the 'vaccination confidence gap'

By far the most common strategy used in the attempt to modify negative attitudes toward vaccination is to appeal to evidence-based reasoning. We argue, however, that focusing on science comprehension is inconsistent with one of the key facts of cognitive psychology: Humans are biased information processors and often engage in motivated reasoning. On this basis, we hypothesised that negative attitudes can be explained primarily by factors unrelated to the empirical evidence for vaccination; including some shared attitudes that also attract people to complementary and alternative medicine (CAM). In particular, we tested psychosocial factors associated with CAM endorsement in past research; including aspects of spirituality, intuitive (vs analytic) thinking styles, and the personality trait of openness to experience. These relationships were tested in a cross-sectional, stratified CATI survey (N = 1256, 624 Females). Whilst educational level and thinking style did not predict vaccination rejection, psychosocial factors including: preferring CAM to conventional medicine (OR .49, 95% CI .36 .83, 95% CI .71 to vaccination. Furthermore, for 9 of the 12 CAMs surveyed, utilisation in the last 12 months was associated with lower levels of vaccination endorsement. From this we suggest that vaccination scepticism appears to be the outcome of a particular cultural and psychological orientation leading to unwillingness to engage with the scientific evidence. Vaccination compliance might be increased either by building general confidence and understanding of evidence-based medicine, or by appealing to features usually associated with CAM, e.g.–.66), endorsement of spirituality as a source of knowledge (OR–.96), and openness (OR .86, 95% CI .74–.99), all predicted negative attitudes‘strengthening your natural resistance to disease’

Search for physics beyond the standard model in events with two leptons of same sign, missing transverse momentum, and jets in proton-proton collisions at root s=13TeV

A data sample of events from proton–proton collisions with two isolated same-sign leptons, missing transverse momentum, and jets is studied in a search for signatures of new physics phenomena by the CMS Collaboration at the LHC. The data correspond to an integrated luminosity of 35.9 fb−1, and a center-of-mass energy of 13 TeV. The properties of the events are consistent with expectations from standard model processes, and no excess yield is observed. Exclusion limits at 95% confidence level are set on cross sections for the pair production of gluinos, squarks, and same-sign top quarks, as well as top-quark associated production of a heavy scalar or pseudoscalar boson decaying to top quarks, and on the standard model production of events with four top quarks. The observed lower mass limits are as high as 1500 GeV for gluinos, 830 GeV for bottom squarks. The excluded mass range for heavy (pseudo)scalar bosons is 350–360 (350–410) GeV. Additionally, model-independent limits in several topological regions are provided, allowing for further interpretations of the results

The CMS trigger system

This paper describes the CMS trigger system and its performance during Run 1 of the LHC. The trigger system consists of two levels designed to select events of potential physics interest from a GHz (MHz) interaction rate of proton-proton (heavy ion) collisions. The first level of the trigger is implemented in hardware, and selects events containing detector signals consistent with an electron, photon, muon, τ lepton, jet, or missing transverse energy. A programmable menu of up to 128 object-based algorithms is used to select events for subsequent processing. The trigger thresholds are adjusted to the LHC instantaneous luminosity during data taking in order to restrict the output rate to 100 kHz, the upper limit imposed by the CMS readout electronics. The second level, implemented in software, further refines the purity of the output stream, selecting an average rate of 400 Hz for offline event storage. The objectives, strategy and performance of the trigger system during the LHC Run 1 are described

Inclusive and differential measurements of the t(t)over-bar charge asymmetry in pp collisions at root s=8 TeV

The charge asymmetry is measured in proton–proton collisions at a centre-of-mass energy of . The data, collected with the CMS experiment at the LHC, correspond to an integrated luminosity of 19.7 fb−1. Selected events contain an electron or a muon and four or more jets, where at least one jet is identified as originating from b-quark hadronization. The inclusive charge asymmetry is found to be . In addition, differential charge asymmetries as a function of rapidity, transverse momentum, and invariant mass of the system are studied. For the first time at the LHC, the measurements are also performed in a reduced fiducial phase space of top quark pair production, with an integrated result of . All measurements are consistent within two standard deviations with zero asymmetry as well as with the predictions of the standard model

Erratum to: Comparison of the Z/γ* + jets to γ + jets cross sections in pp collisions at √s = 8

Erratum to: JHEP10(2015)128. ArXiv ePrint: 1505.06520. The online version of the original article can be found at http://dx.doi.org/10.1007/JHEP10(2015)128

Utilization pattern of traditional Chinese medicine for liver cancer patients in Taiwan

<p>Abstract</p> <p>Background</p> <p>Traditional Chinese Medicine (TCM) is one of the most popular complementary and alternative medicine modalities worldwide. In Chinese and East Asian societies, TCM plays an active role in the modern health care system and is even covered by the National Health Insurance Program of Taiwan. Liver cancer is the second most common cancer in Taiwan. This study aimed to analyze the TCM utilization patterns of patients with liver cancer from 1996–2007 using a population-based random sample of one million insured patients.</p> <p>Methods</p> <p>A cross-sectional study was conducted using registration and claim data sets from 1996 to 2007 obtained from the Longitudinal Health Insurance Database 2005 (LHID2005). The outpatient datasets contained the encounter form-based dates of visit, three items from the International Classification of Diseases (Ninth Revision, Clinical Modification codes), the primary procedure (e.g., drug or diagnostic procedure), type of copayment, billed amount, and paid amount. Only ambulatory care was analyzed.</p> <p>Results</p> <p>A total of 6358 liver cancer patients utilized ambulatory care during the study period. Among them, 1240 (19.50%) availed of TCM outpatient services. The prevalence of TCM use fluctuated during the study period, with a peak of 25.11% in 2001. After multivariable adjustment, the likelihood of TCM users was lower in participants aged 70 years and older (odds ratio, OR = 0.79, 95% confidence interval, CI: 0.64–0.97), males (OR = 0.60, 95% CI: 0.52–0.68), residents of Taipei (OR = 0.75, 95% CI: 0.58–0.96) as well as farmers and fishermen (OR = 0.71, 95% CI: 0.54–0.94), but was higher in residents of central Taiwan (OR = 1.99, 95% CI: 1.56–2.54. Most biomedicine and TCM outpatient services were provided by private clinics, followed by private hospitals. The two most frequently recorded coexisting diseases for both biomedicine and TCM outpatient visits specifically for liver cancer were (1) chronic liver disease and cirrhosis, and (2) malignant neoplasm of the liver and hepatic bile duct. The mean fee per visit for biomedicine was much higher than that for TCM, and the average expenditure was NT$429.73 (US$13.25) per biomedicine visit and NT$301.93 (US$9.32) per TCM visit (US$1 = NT$32.4 in 2007). For outpatient visits specifically for liver cancer, the mean fee per visit for biomedicine was much higher than that for TCM. The average cost per visit was NT$1457.31 (US$44.98) for biomedicine and NT$1080.76 (US$33.36) for TCM.</p> <p>Conclusion</p> <p>TCM was widely used by the patients with liver cancer, and the prevalence of TCM use remained stably high during the study period. The costs of insurance covering TCM were consistently lower than those covering biomedicine in patients with liver cancer. The findings of this study should be useful for health policy makers as well as researchers considering the integration of TCM and biomedicine.</p