Measurement of the CMS Magnetic Field

The measurement of the magnetic field in the tracking volume inside the superconducting coil of the Compact Muon Solenoid (CMS) detector under construction at CERN is done with a fieldmapper designed and produced at Fermilab. The fieldmapper uses 10 3-D B-sensors (Hall probes) developed at NIKHEF and calibrated at CERN to precision 0.05% for a nominal 4 T field. The precise fieldmapper measurements are done in 33840 points inside a cylinder of 1.724 m radius and 7 m long at central fields of 2, 3, 3.5, 3.8, and 4 T. Three components of the magnetic flux density at the CMS coil maximum excitation and the remanent fields on the steel-air interface after discharge of the coil are measured in check-points with 95 3-D B-sensors located near the magnetic flux return yoke elements. Voltages induced in 22 flux-loops made of 405-turn installed on selected segments of the yoke are sampled online during the entire fast discharge (190 s time-constant) of the CMS coil and integrated offline to provide a measurement of the initial magnetic flux density in steel at the maximum field to an accuracy of a few percent. The results of the measurements made at 4 T are reported and compared with a three-dimensional model of the CMS magnet system calculated with TOSCA.Comment: 4 pages, 5 figures, 15 reference

KIF5A and the contribution of susceptibility genotypes as a predictive biomarker for multiple sclerosis

There is increasing interest in the development of multiple sclerosis (MS) biomarkers that reflect central nervous system tissue injury to determine prognosis. We aimed to assess the prognostic value of kinesin superfamily motor protein KIF5A in MS by measuring levels of KIF5A in cerebrospinal fluid (CSF) combined with analysis of single nucleotide polymorphisms (SNPs; rs12368653 and rs703842) located within a MS susceptibility gene locus at chromosome 12q13–14 region. Enzyme-linked immunosorbent assay was used to measure KIF5A in CSF obtained from two independent biobanks comprising non-inflammatory neurological disease controls (NINDC), clinically isolated syndrome (CIS) and MS cases. CSF KIF5A expression was significantly elevated in progressive MS cases compared with NINDCs, CIS and relapsing–remitting MS (RRMS). In addition, levels of KIF5A positively correlated with change in MS disease severity scores (EDSS, MSSS and ARMSSS), in RRMS patients who had documented disease progression at 2-year clinical follow-up. Copies of adenine risk alleles (AG/AA; rs12368653 and rs703842) corresponded with a higher proportion of individuals in relapse at the time of lumbar puncture (LP), higher use of disease-modifying therapies post LP and shorter MS duration. Our study suggests that CSF KIF5A has potential as a predictive biomarker in MS and further studies into the potential prognostic value of analysing MS susceptibility SNPs should be considered

A Community-Based Obesity Prevention Program Decreased the Body Mass Index of University-Affiliated Participants

Obesity is a national health concern and the focus of many health promotion programs. The purpose of this study was to evaluate the behavioral impact of a 12-week obesity prevention program on a university campus. Participants were provided questionnaires with weights, heights, and body mass indices (BMIs) determined at the pre-phase weigh-in and post-phase weigh-out. At the weigh-in, participants received pedometers and information about upcoming educational sessions to assist them with reaching their health behavior goals. A total of 247 (38.2% of 646) individuals (79.4% women) completed the program. A mean weight loss of 1.8 kg caused a decrease in BMI from 29.3 at weigh-in to 28.7 at weigh-out (p = .002). Pre- and post-questionnaires indicated increases (p \u3c 0.001) in physical activity; using pedometers; and intakes of fruits, vegetables, and water at the end of the program. The 6-month follow-up questionnaire (33.2% response rate) indicated healthy habits were being maintained for fruit and vegetable consumption. Further intervention development to incorporate innovative strategies for promoting healthy behaviors among students and employees on university campuses could help decrease the prevalence of obesity

Understanding Soft Errors in Uncore Components

The effects of soft errors in processor cores have been widely studied. However, little has been published about soft errors in uncore components, such as memory subsystem and I/O controllers, of a System-on-a-Chip (SoC). In this work, we study how soft errors in uncore components affect system-level behaviors. We have created a new mixed-mode simulation platform that combines simulators at two different levels of abstraction, and achieves 20,000x speedup over RTL-only simulation. Using this platform, we present the first study of the system-level impact of soft errors inside various uncore components of a large-scale, multi-core SoC using the industrial-grade, open-source OpenSPARC T2 SoC design. Our results show that soft errors in uncore components can significantly impact system-level reliability. We also demonstrate that uncore soft errors can create major challenges for traditional system-level checkpoint recovery techniques. To overcome such recovery challenges, we present a new replay recovery technique for uncore components belonging to the memory subsystem. For the L2 cache controller and the DRAM controller components of OpenSPARC T2, our new technique reduces the probability that an application run fails to produce correct results due to soft errors by more than 100x with 3.32% and 6.09% chip-level area and power impact, respectively.Comment: to be published in Proceedings of the 52nd Annual Design Automation Conferenc

What to do about Inequality? Support for the European Union and Further European Integration in the Republic of Ireland

This paper investigates individual’s perceptions of inequality and the impact this has on mass public opinion support for the European Union (EU) in the Republic of Ireland. This question is posed in the context of the onset of the economic and financial crisis of 2007/8 as the crisis can be regarded as a critical juncture in Ireland’s relationship with the EU as a result of the economic downturn and the widening of economic disparities individuals have experienced. Ireland is a critical case in examining EU support as since its accession to the EU in 1973 it is often considered an exemplar of what the EU could offer small member states with a strongly pro-integrationist mass public. Using Ordinary Least Squares (OLS) multiple regression analysis on 2009 European Election Study (EES) data, this paper shows that individuals’ concerns about inequality lowers support for the EU as it is currently constituted, but increases support for continued European integration. This suggests that individual-levels of support may be in a precarious state, yet they can be salvaged as individuals in Ireland regard the EU as the institutional-driving force to address market-generated inequality

UKGEOS: Glasgow Geothermal Energy Research Field Site (GGERFS): initial summary of the geological platform

The preferred second UKGEOS site is at Clyde Gateway, in the east end of Glasgow, Scotland. The focus of this, the Glasgow Geothermal Energy Research Field Site (GGERFS), is on characterising and monitoring the subsurface for minewater and hot sedimentary aquifer geothermal energy, and for cooling and heat storage. This report details BGS data and knowledge at late 2016, to define initial characterisation of the ‘geological platform’ relevant for the planning of a geothermal research facility and associated environmental baseline monitoring. The report covers knowledge of the bedrock and superficial deposits geology, abandoned coal mines, hydrogeology, geothermal datasets, geochemistry, remote sensed data, seismicity, stress fields, engineering geology and rock property datasets. BGS holds a great deal of legacy borehole, mining and geochemistry data and has updated existing bedrock and superficial deposits models of the area. However, deep borehole and seismic data are lacking to define the geology and structure of the area below a few hundred metres. Hydrogeological and temperature data are also lacking for the bedrock strata. Regional datasets and knowledge have (and can be further) used to reduce uncertainty and risk in these aspects of the geological characterisation

Detecting and predicting neutralization of alemtuzumab responses in MS

Objective: To test the hypothesis that anti-drug antibodies against alemtuzumab could become relevant after repeated treatments for some individuals, possibly explaining occasional treatment resistance. Methods: Recombinant alemtuzumab single-chain variable fragment antibody with a dual tandem nanoluciferase reporter linker was made and used to detect binding anti-drug antibodies. Alemtuzumab IgG Alexa-Fluor 488 conjugate was used in a competitive-binding cell based assay to detect neutralizing anti-drug antibodies. The assays were used to retrospectively screen, blinded, banked-serum samples from people with multiple sclerosis (n=32) who had received three or more cycles of alemtuzumab. Lymphocyte depletion was measured between baseline and about 1 month post-infusion. Results: The number of individuals showing limited depletion of lymphocytes increased with the number of treatment cycles. Lack of depletion was also a poor prognostic feature for future disease activity. Anti-drug antibody responses were detected in 29/32 (90.6%) individuals. Neutralizing antibodies occurred prior to the development of limited depletion in 6/7 individuals (18.8% of the whole sample). Pre-infusion, anti-drug antibody levels predicted limited, post-infusion lymphocyte depletion. Conclusions: Although anti-drug antibodies to alemtuzumab have been portrayed as being of no clinical significance, alemtuzumab-specific antibodies appear to be clinically relevant for some individuals, although causation remains to be established. Monitoring of, lymphocyte depletion and the anti-drug response may be of practical value in patients requiring additional cycles of alemtuzumab. Anti-drug antibody detection may help to inform on re-treatment or switching to another treatment

Ecological implications of a flower size/number trade-off in tropical forest trees

Peer reviewedPublisher PD

A search for new particles in proton‐nucleus collisions at 400 GeV/c

We report preliminary results from a search for new particles produced in proton‐nucleus collisions at 400 GeV/c. A double‐arm spectrometer is used to detect two‐body final states where each spectrometer arm has the capability of uniquely identifying Π±, K±, p, ?, μ±, and ϕ. The Jψ is measured in the μ+μ− mode.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/87398/2/30_1.pd

Measurement of inclusive D*+- and associated dijet cross sections in photoproduction at HERA

Inclusive photoproduction of D*+- mesons has been measured for photon-proton centre-of-mass energies in the range 130 < W < 280 GeV and a photon virtuality Q^2 < 1 GeV^2. The data sample used corresponds to an integrated luminosity of 37 pb^-1. Total and differential cross sections as functions of the D* transverse momentum and pseudorapidity are presented in restricted kinematical regions and the data are compared with next-to-leading order (NLO) perturbative QCD calculations using the "massive charm" and "massless charm" schemes. The measured cross sections are generally above the NLO calculations, in particular in the forward (proton) direction. The large data sample also allows the study of dijet production associated with charm. A significant resolved as well as a direct photon component contribute to the cross section. Leading order QCD Monte Carlo calculations indicate that the resolved contribution arises from a significant charm component in the photon. A massive charm NLO parton level calculation yields lower cross sections compared to the measured results in a kinematic region where the resolved photon contribution is significant.Comment: 32 pages including 6 figure