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The Joint COntrols Project Framework  [PDF]
M. Gonzalez-Berges
Physics , 2003,
Abstract: The Framework is one of the subprojects of the Joint COntrols Project (JCOP), which is collaboration between the four LHC experiments and CERN. By sharing development, this will reduce the overall effort required to build and maintain the experiment control systems. As such, the main aim of the Framework is to deliver a common set of software components, tools and guidelines that can be used by the four LHC experiments to build their control systems. Although commercial components are used wherever possible, further added value is obtained by customisation for HEP-specific applications. The supervisory layer of the Framework is based on the SCADA tool PVSS, which was selected after a detailed evaluation. This is integrated with the front-end layer via both OPC (OLE for Process Control), an industrial standard, and the CERN-developed DIM (Distributed Information Management System) protocol. Several components are already in production and being used by running fixed-target experiments at CERN as well as for the LHC experiment test beams. The paper will give an overview of the key concepts behind the project as well as the state of the current development and future plans.
Joint Association of Nicotinic Acetylcholine Receptor Variants with Abdominal Obesity in American Indians: The Strong Heart Family Study  [PDF]
Yun Zhu, Jingyun Yang, Fawn Yeh, Shelley A. Cole, Karin Haack, Elisa T. Lee, Barbara V. Howard, Jinying Zhao
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0102220
Abstract: Cigarette smoke is a strong risk factor for obesity and cardiovascular disease. The effect of genetic variants involved in nicotine metabolism on obesity or body composition has not been well studied. Though many genetic variants have previously been associated with adiposity or body fat distribution, a single variant usually confers a minimal individual risk. The goal of this study is to evaluate the joint association of multiple variants involved in cigarette smoke or nicotine dependence with obesity-related phenotypes in American Indians. To achieve this goal, we genotyped 61 tagSNPs in seven genes encoding nicotine acetylcholine receptors (nAChRs) in 3,665 American Indians participating in the Strong Heart Family Study. Single SNP association with obesity-related traits was tested using family-based association, adjusting for traditional risk factors including smoking. Joint association of all SNPs in the seven nAChRs genes were examined by gene-family analysis based on weighted truncated product method (TPM). Multiple testing was controlled by false discovery rate (FDR). Results demonstrate that multiple SNPs showed weak individual association with one or more measures of obesity, but none survived correction for multiple testing. However, gene-family analysis revealed significant associations with waist circumference (p = 0.0001) and waist-to-hip ratio (p = 0.0001), but not body mass index (p = 0.20) and percent body fat (p = 0.29), indicating that genetic variants are jointly associated with abdominal, but not general, obesity among American Indians. The observed combined genetic effect is independent of cigarette smoking per se. In conclusion, multiple variants in the nAChR gene family are jointly associated with abdominal obesity in American Indians, independent of general obesity and cigarette smoking per se.
Optimal Joint Target Detection and Parameter Estimation By MIMO Radar  [PDF]
Ali Tajer,Guido H. Jajamovich,Xiaodong Wang,George V. Moustakides
Mathematics , 2009, DOI: 10.1109/JSTSP.2010.2040104
Abstract: We consider multiple-input multiple-output (MIMO) radar systems with widely-spaced antennas. Such antenna configuration facilitates capturing the inherent diversity gain due to independent signal dispersion by the target scatterers. We consider a new MIMO radar framework for detecting a target that lies in an unknown location. This is in contrast with conventional MIMO radars which break the space into small cells and aim at detecting the presence of a target in a specified cell. We treat this problem through offering a novel composite hypothesis testing framework for target detection when (i) one or more parameters of the target are unknown and we are interested in estimating them, and (ii) only a finite number of observations are available. The test offered optimizes a metric which accounts for both detection and estimation accuracies. In this paper as the parameter of interest we focus on the vector of time-delays that the waveforms undergo from being emitted by the transmit antennas until being observed by the receive antennas. The analytical and empirical results establish that for the proposed joint target detection and time-delay estimation framework, MIMO radars exhibit significant gains over phased-array radars for extended targets which consist of multiple independent scatterers. For point targets modeled as single scatterers, however, the detection/estimation accuracies of MIMO and phased-array radars for this specific setup (joint target detection and time-delay estimation) are comparable.
A Scalable Testing Framework for Location-Based Services
Jiang Yu,Andrew Tappenden,James Miller,Michael Smith,
Jiang Yu
,Andrew Tappenden,James Miller,and Michael Smith

计算机科学技术学报 , 2009,
Abstract: A novel testing framework for location based services is introduced. In particular, the paper showcases a novel architecture for such a framework. The implementation of the framework illustrates both the functionality and the feasibility of the framework proposed and the utility of the architecture. The new framework is evaluated through comparison to several other methodologies currently available for the testing of location-based applications. A case study is presented in which the testing framework was applied to a typical mobile service tracking system. It is concluded that the proposed testing framework achieves the best coverage of the entire location based service testing problem of the currently available methodologies; being equipped to test the widest array of application attributes and allowing for the automation of testing activities.
A Computational Framework Discovers New Copy Number Variants with Functional Importance  [PDF]
Samprit Banerjee,Derek Oldridge,Maria Poptsova,Wasay M. Hussain,Dimple Chakravarty,Francesca Demichelis
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0017539
Abstract: Structural variants which cause changes in copy numbers constitute an important component of genomic variability. They account for 0.7% of genomic differences in two individual genomes, of which copy number variants (CNVs) are the largest component. A recent population-based CNV study revealed the need of better characterization of CNVs, especially the small ones (<500 bp).We propose a three step computational framework (Identification of germline Changes in Copy Number or IgC2N) to discover and genotype germline CNVs. First, we detect candidate CNV loci by combining information across multiple samples without imposing restrictions to the number of coverage markers or to the variant size. Secondly, we fine tune the detection of rare variants and infer the putative copy number classes for each locus. Last, for each variant we combine the relative distance between consecutive copy number classes with genetic information in a novel attempt to estimate the reference model bias. This computational approach is applied to genome-wide data from 1250 HapMap individuals. Novel variants were discovered and characterized in terms of size, minor allele frequency, type of polymorphism (gains, losses or both), and mechanism of formation. Using data generated for a subset of individuals by a 42 million marker platform, we validated the majority of the variants with the highest validation rate (66.7%) was for variants of size larger than 1 kb. Finally, we queried transcriptomic data from 129 individuals determined by RNA-sequencing as further validation and to assess the functional role of the new variants. We investigated the possible enrichment for variant's regulatory effect and found that smaller variants (<1 Kb) are more likely to regulate gene transcript than larger variants (p-value = 2.04e-08). Our results support the validity of the computational framework to detect novel variants relevant to disease susceptibility studies and provide evidence of the importance of genetic variants in regulatory network studies.
Pelvic bone and hip joint hydatid disease revealing a retroperitoneal location
Abdelhalim El Ibrahimi,A. Ankouz,A. Daoudi,A. Elmrini
Orthopedic Reviews , 2009, DOI: 10.4081/or.2009.e8
Abstract: Echinococcosis is a parasitic disease produced by the larval stage of Echinococcus granulosus. Hydatid disease of bone is rarely seen in humans and it has been reported in only 1-2% of cases of echinococcosis. We present a patient who developed hydatid disease of the left pelvic and femoral bones with cartilage destruction of the ipsilateral hip joint revealing a retroperitoneal location of hydatid cyst. Hydatid bone must be present in the differential diagnosis of chronic monoarthritis; the risk is to perform a total hip replacement in a septic environment.
The Conceptual Framework of the Effect of Location on Performance of Small Firms  [cached]
Mohd Sobri Minai,Esuh Ossai-Igwe Lucky
Asian Social Science , 2011, DOI: 10.5539/ass.v7n12p110
Abstract: There are abundant studies examining the performance of small firms with their studies frameworks. Most of the studies focus on the common attributes and categories that neglect the aspect of location. However, the inconsistent results on the relationship between entrepreneurial factors and firm performance have led the authors to propose a contingency model in which the effects of individual determinants, external factors and firm characteristics on firm performance are moderated by location. The paper argues the significance importance of location factor in the development of entrepreneurship and small business in Nigeria and thus suggests that location factor should be given an urgent consideration as a vital factor that would positively affect small business performance.
Consensus: a framework for evaluation of uncertain gene variants in laboratory test reporting
David K Crockett, Perry G Ridge, Andrew R Wilson, Elaine Lyon, Marc S Williams, Scott P Narus, Julio C Facelli, Joyce A Mitchell
Genome Medicine , 2012, DOI: 10.1186/gm347
Abstract: For appropriate and effective patient treatment, relevant clinical information should be available to the clinician on demand. Accurate interpretation of gene test results, including phenotype association of gene variants, is an important component in customizing patient therapy. Recent endeavors such as the NCBI Genetic Testing Registry, MutaDATABASE, 1000 Genomes and the Human Variome Project draw attention to this growing interest in gene variant annotation and clinical interpretation in human disease [1-4]. Ongoing efforts to catalog human genome variation for many years have led to authoritative repositories of gene variants, with clear association to disease phenotype finally beginning to emerge [5-8].Rapidly evolving technologies such as SNP chip genome-wide association studies and next-generation sequencing have lowered the cost and increased the speed of genomic analysis, yielding much larger data sets [9]. Currently, gene variants are being discovered at an unprecedented pace. One recent report found an average of 3 million variants per personal genome [10]. Unfortunately, an ever-widening gap exists between this fast growing collection of genetic variation and practical clinical interpretation due to a lack of understanding of the phenotypic consequences (if any) of any given variant. Although the number of genetic testing laboratories has remained around 600 over the past several years, recent data show that clinical testing is currently available for well over 2,200 different genes or genetic conditions [11]. As medical records increasingly incorporate genetic test information, improved decision support approaches are needed to provide clinicians with the preferred course of treatment [12,13]. Furthermore, for decision support rules to be of value, the clinical relevance of laboratory information must be well understood [14,15].Updated recommendations have been proposed from the American College of Medical Geneticists (ACMG) on reporting and classificat
Framework for Location Based Power Aware Routing in MANET
P K Suri,M K Soni,Parul Tomar
International Journal of Computer Science Issues , 2011,
Abstract: With the rapid growth in the area of wireless networks and mobile applications, Quality of Service (QoS) provision has received the attention of researchers. But unpredictable nature of Mobile Adhoc Networks makes it a very difficult task. Various QoS based protocols have been proposed by the researchers. These protocols make use of either proactive (table-driven) or reactive (on-demand) approach. Table driven approach requires a large amount of storage space to store the information regarding whole of the network which is not possible in case of small mobile devices. On the other hand, due to flooding of RREQ packets, on-demand routing protocols consumes a large amount of bandwidth and thus increases the network load. Also, there is a transmission delay for the first data packet. This paper presents an optimized approach for providing QoS in a location aware environment.
Association of Multiple Sclerosis Susceptibility Variants and Early Attack Location in the CNS  [PDF]
Ellen M. Mowry, Robert F. Carey, Maria R. Blasco, Jean Pelletier, Pierre Duquette, Pablo Villoslada, Irina Malikova, Elaine Roger, R. Phillip Kinkel, Jamie McDonald, Peter Bacchetti, Emmanuelle Waubant
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0075565
Abstract: Objective The anatomic location of subsequent relapses in early multiple sclerosis (MS) appears to be predicted by the first attack location. We sought to determine if genetic polymorphisms associated with MS susceptibility are associated with attack location. Methods 17 genome-wide association study-identified MS susceptibility polymorphisms were genotyped in 503 white, non-Hispanic patients seen within a year of MS onset. Their association with the CNS location of the first two MS attacks was assessed in multivariate repeated measures analyses (generalized estimating equations with robust standard errors). Results The IL12A polymorphism was independently associated with increased odds of attacks involving the spinal cord (OR = 1.52, 95% CI 1.11, 2.07, p = 0.009), as was the IRF8 polymorphism (OR = 2.40, 95% CI [1.04, 5.50], p = 0.040). The IL7R polymorphism was associated with reduced odds of attacks involving the brainstem/cerebellum (OR = 0.46, 95% CI 0.22, 0.97, p = 0.041), as were the TNFRSF1A and IL12A polymorphisms. The CD6 polymorphism conferred reduced odds of optic neuritis as an attack location (OR = 0.69, 95% CI [0.49, 0.97], p = 0.034). Several other genes showed trends for association with attack location. Conclusions Some of the MS susceptibility genes may be associated with MS attack location. The IL12A polymorphism is of particular interest given that interferon beta therapy appears to influence IL12 levels. These findings may lead to improved understanding of MS pathogenesis and treatment.
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