41 research outputs found
Helium, Oxygen, Proton, and Electron (HOPE) Mass Spectrometer for the Radiation Belt Storm Probes Mission
The HOPE mass spectrometer of the Radiation Belt Storm Probes (RBSP) mission (renamed the Van Allen Probes) is designed to measure the in situ plasma ion and electron fluxes over 4Ï sr at each RBSP spacecraft within the terrestrial radiation belts. The scientific goal is to understand the underlying physical processes that govern the radiation belt structure and dynamics. Spectral measurements for both ions and electrons are acquired over 1 eV to 50 keV in 36 log-spaced steps at an energy resolution ÎE FWHM/Eâ15 %. The dominant ion species (H+, He+, and O+) of the magnetosphere are identified using foil-based time-of-flight (TOF) mass spectrometry with channel electron multiplier (CEM) detectors. Angular measurements are derived using five polar pixels coplanar with the spacecraft spin axis, and up to 16 azimuthal bins are acquired for each polar pixel over time as the spacecraft spins. Ion and electron measurements are acquired on alternate spacecraft spins. HOPE incorporates several new methods to minimize and monitor the background induced by penetrating particles in the harsh environment of the radiation belts. The absolute efficiencies of detection are continuously monitored, enabling precise, quantitative measurements of electron and ion fluxes and ion species abundances throughout the mission. We describe the engineering approaches for plasma measurements in the radiation belts and present summaries of HOPE measurement strategy and performance
Job Motivation and Its Impact on Job Satisfaction Among Accountants
Job motivation remains an area of concern among researchers due to the rising issues of poor or lack
of motivation among workers. This refers to oneâs personal will or drives to perform a task at work.
Meanwhile, job satisfaction refers to an employeeâs sense of fulfillment with his or her work
experience. Therefore, the current study utilized the descriptive- correlational research design to
investigate the impact of job motivation on the job satisfaction of accountants. To gather essential
data and achieve the objectives of the study, Multidimensional Work Motivational Scale (MWMS)
and Minnesota Satisfaction Questionnaire (MSQ) were administered to the target respondents. The
collected data were then analyzed using a Multiple Regression Analysis; findings revealed that job
motivation has a significant impact on the job satisfaction of accountants. Additionally, the results of
this study were carefully evaluated and discussed, and recommendations were made to benefit the
stakeholders of the study and contribute to the existing body of knowledge
Building Digital Libraries Made Easy: Toward Open Digital
Abstract. Digital libraries (DLs) promote a sharing culture among those who contribute and those who use resources. This same approach works when building Open Digital Libraries (ODLs). Leveraging the intellectual and practical investment made in the Open Archives Initiative through an eXtended Protocol for Metadata Harvesting (XPMH), one can build lightweight protocols to tie together key components that together make up the core of a DL. DL developers in various settings have learned how to apply this framework in a few hours. The ODL approach has been effective with the Computer Science Teachin
Exploiting rich context: An incremental approach to context-based web search
Abstract. Proactive retrieval systems monitor a userâs task context and automatically provide the user with related resources. The effectiveness of such systems depends on their ability to perform context-based retrieval, generating queries which return context-relevant results. Two factors make this task especially challenging for Web-based retrieval. First, the quality of Web retrieval can be strongly affected by the vocabulary used to generate the queries. If the systemâs vocabulary for describing the context differs from the vocabulary used in the resources themselves, relevant resources may be missed. Second, search engine restrictions on query length may make it difficult to include sufficient contextual information in a single query. This paper presents an algorithm, IACS (Incremental Algorithm for Context-Based Search), which addresses these problems by building up, applying, and refining partial context descriptions incrementally. In IACS, an initial term-based context description is the starting point for a cycle of mining search engines, performing context-based filtering of results, and refining context descriptions to generate new rounds of queries in an expanded vocabulary. IACS has been applied in a system for proactively supporting concept-map-based knowledge modeling, by retrieving resources relevant to target concepts in the context of the rich information provided by âin progress â concept maps. An evaluation of the system shows that it provides significant improvements over a baseline for retrieving context-relevant resources. We expect the algorithm to have broad applicability to context-based Web retrieval for rich contexts.