245 research outputs found

    Measurements and physical-layer modelling of transmission loss for gas turbine engine sensor networks

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    The aim of this study is to extract a physical-layer wireless channel model from a set of channel measurements, in support of the wider, collaborative, WIDAGATE project to assess the potential of wireless sensor networks for the condition monitoring of gas turbine engines. The collaborative partners in WIDAGATE are Rolls-Royce, Selex and University College London. The resulting model is being incorporated into a complete system protocol stack as part of the wider project. The physical layer channel model incorporates interference [1] and noise in addition to signal transmission characteristics

    The use of UHF transponders as a potential replacement for cattle passports

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    Commercially available UHF RFID tags and interrogators (readers) are surveyed with a view to assessing their suitability as a replacement for cattle passports and preliminary laboratory trials for the tag read/write range are presente

    Java on Networks of Workstations (JavaNOW): A Parallel Computing Framework Inspired by Linda and the Message Passing Interface (MPI)

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    Networks of workstations are a dominant force in the distributed computing arena, due primarily to the excellent price/performance ratio of such systems when compared to traditionally massively parallel architectures. It is therefore critical to develop programming languages and environments that can help harness the raw computational power available on these systems. In this article, we present JavaNOW (Java on Networks of Workstations), a Java‐based framework for parallel programming on networks of workstations. It creates a virtual parallel machine similar to the MPI (Message Passing Interface) model, and provides distributed associative shared memory similar to the Linda memory model but with a richer set of primitive operations. JavaNOW provides a simple yet powerful framework for performing computation on networks of workstations. In addition to the Linda memory model, it provides for shared objects, implicit multithreading, implicit synchronization, object dataflow, and collective communications similar to those defined in MPI. JavaNOW is also a component of the Computational Neighborhood, a Java‐enabled suite of services for desktop computational sharing. The intent of JavaNOW is to present an environment for parallel computing that is both expressive and reliable and ultimately can deliver good to excellent performance. As JavaNOW is a work in progress, this article emphasizes the expressive potential of the JavaNOW environment and presents preliminary performance results only

    Efficiency Test of Forecasts: an illustration for Carbon Emission

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    World Economies are facing numerous challenges concurrently. Among them one of most pertinent is global warming. Almost all the countries are victims of climate changes. Therefore, several economic mechanisms in environmental policy have been adopted to combat the distasteful impacts of climate change. The implication of environmental policies for clean energy environment in a country can be accessed via several channels. Forecast analysis is one of them, it reveals the forthcoming arrangement. The direction of the forecast trend discloses the current as well as potential outlook, indicating the intensity of policy brunt. The study evaluated the forecast and their accuracy to ensure the performance of forecast. Carbon emission in Gulf countries and their forecast are used as a case study. ARIMA model is used to obtain the forecast. Afterward, to evaluate the forecast performance, the study utilized the different efficiency criterion defined by Nordhaus (1987). By following the several efficiency test study found consistent and efficient forecasts.  These performance tests ascertain the reliability and accuracy of the trend followed by forecasts.  Accurate Forecasts direct better policy formation and management decision with buoyancy. Moreover, earlier policy resolution becomes more lucid

    Barriers for the Adoption of Professional Development Courses (PDCs) in Public Sector University Libraries

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    Objective: The purpose of the study was to explore the major problems of Library Professionals working in the academic libraries of public sector universities regarding participation in Professional Development Courses (PDCs). Methodology: Public sector Universities affiliated with Higher Education Commission (HEC) Pakistan, located in Lahore, Pakistan were the target population. The Census sampling technique was adopted to accomplish the objectives of the conducted study. 67 respondents participated in the study. A quantitative research technique was used in the study. A self-created questionnaire was used to collect the data. Key Findings: The findings of the study revealed that a good number of respondents were willing to participate in development activities. But, due to numerous hurdles included shortage of library staff, poor allocation of budget for development activities and non-interesting attitude of organizational administration towards the professional development of Library professionals were the major barriers towards professional development activities. Rationale and Significance: Past literature indicated that no study was conducted covering the objective of barriers in professional development. No researcher made the proper investigation in the local scenario. It was highly desired to explore the barriers in participating in professional development activities in the local context. Implication: This study would contribute to the professional literature. It will also assist policy makers to take initiatives for the capacity building of library professionals

    Parkinson disease: identifying different players sharing a common principle

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    Parkinson disease is a multifactorial molecular disorder. Miscellaneous regulators have been characterized to date and their implication in disease progression is well documented. Compromised neuromuscular activity is a serious threat posed by malfunctioning of various regulators. The integrity and maintenance of neural architecture underpins neural activities. Despite the fact that various breakthroughs have been made, yet many proteins are unidentified while some unaddressed. Furthermore, miRNA pathway impairment results in subversion of core biological system and draws attention towards novel miRNA-based therapeutic strategies. Thus proteins and mitrons work in collaboration with various cellular organelles to ensure normal dynamics of neural circuitry. In this review we will emphasize the derailed activities of proteins at molecular level that might help in getting a step closer to personalized medicine

    Asymptomatic Ileal Schwannoma presenting as a Mesenteric Tumour : Case report and review of literature

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    A schwannoma is a benign tumour which arises from the schwann cells of the central or peripheral nervous system. Common sites include the head and limbs; it is rare that this tumour arises from the gastrointestinal tract’s neural plexus. It is even rarer to find the ileum as the site of origin. We report a patient who presented with a central abdominal mass which was preoperatively diagnosed as a mesenteric tumour. However, immunohistochemistry of the surgically-removed specimen proved it to be a benign ileal schwannoma

    Methylation and loss of Imprinting: Unending rivalries unleashed between “kneaded erasers†and “fate writersâ€Â

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    Genome is a complex barcode that is interpreted at molecular level. There are various proteins which are modulating the expression or repression of the genes. Miscellaneous proteins work in collaboration to stimulate or repress the gene expression. Chromatin remodeling factors are the artists which chisel, carve and mould the sculpture of genome. In this review we will emphasize on exemptions and extensions which trigger genomic instability in broad range of molecular anomalies. Doubtlessly therapeutic interventions have shown tremendous promise in cancer therapy, but the selectivity profiles of these compounds have largely relied on serendipity or 'off-target' activities rather than rational drug design. Purposefully designed compounds with activity against methyltransferase, demethylase and HDAC will bring us a step closer to personalized medicine
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