BACKGROUND AND OBJECTIVES Rearrangements of the EVI-1 locus in chromosome band 3q26 are associated with a poor prognosis in myeloid malignancies. To aid the diagnosis of such aberrations, and possibly disease monitoring, we established an interphase fluorescence in situ hybridization (FISH) assay for the affected breakpoint region. DESIGN AND METHODS Several overlapping PAC (P1-derived artifi...

Gross primary production (GPP) is a parameter of significant importance for carbon cycle and climate change research. Remote sensing combined with other climate and meteorological data offers a convenient tool for large scale GPP estimation. This paper presents a study of GPP estimation using three methods with in situ measurements of canopy reflectance, LAI, and the photosynthetically active r...

School children may transmit pathogens with cluster cases occurring on campuses and in families. In response to the 2009 influenza A (H1N1) pandemic, Taipei City Government officials developed a School-based Infectious Disease Syndromic Surveillance System (SID-SSS). Teachers and nurses from preschools to universities in all 12 districts within Taipei are required to daily report cases of sympt...

Twenty-four out of 25 patients with Chagas' heart disease have circulating immunoglobulins which react by indirect immunofluorescence technique with endocardium, interstitium and blood vessels of the heart. With skeletal muscle the reaction was observed in interstitium and vascular structures, but with other organs it was limited to vascular structures. This endocardial-vascularinterstitial fac...

Gross primary productivity (GPP) is a key component of ecosystem carbon fluxes and the carbon balance between the biosphere and the atmosphere. Accurate estimation of GPP is essential for quantifying plant production and carbon balance for grasslands. Satellite-derived vegetation indices (VIs) are often used to approximate GPP. The widely used VIs include atmospherically resistant vegetation in...

Vegetation indices play an important role in monitoring variations in vegetation.The Enhanced Vegetation Index (EVI) proposed by the MODIS Land Discipline Groupand the Normalized Difference Vegetation Index (NDVI) are both global-based vegetationindices aimed at providing consistent spatial and temporal information regarding globalvegetation. However, many environmental factors such as atmosphe...

The expected value of information (EVI) is the most powerful measure of sensitivity to uncer­ tainty in a decision model: it measures the potential of information to improve the decision, and hence measures the expected value of the outcome. Stan­ dard methods for computing EVI use discrete vari­ ables and are computationally intractable for models that contain more than a few variables. Monte ...

We present a comparative analysis of a layered architecture of Hidden Markov Models (HMMs) and dynamic Bayesian networks (DBNs) for identifying human activites from multimodal sensor information. We use the two representations to diagnose users’ activities in S-SEER, a multimodal system for recognizing office activity from realtime streams of evidence from video, audio and computer (keyboard an...