نتایج جستجو برای: smap
تعداد نتایج: 520 فیلتر نتایج به سال:
Aim To introduce Gaussian mixture distributions and sequential maximum a posteriori image segmentation (GM-SMAP) as a model that predicts species ranges from mapped climatic variables, and to compare its predictive capacity with two commonly used bioclimatic models: regression tree analysis (RTA) and smoothed response surfaces (SRS). Location North-west North America. Methods We compared models...
BACKGROUND Polymorphisms of the CYP2C9 (cytochrome P450, family 2, subfamily C, polypeptide 9) gene (CYP2C9*2, CYP2C9*3) and the VKORC1 (vitamin K epoxide reductase complex, subunit 1) gene (-1639G>A) greatly impact the maintenance dose for the drug warfarin. Prescreening patients for their genotypes before prescribing the drug facilitates a faster individualized determination of the proper mai...
P revention of cardiovascular disease is an important therapeutic goal in patients with type 2 diabetes melli-tus (1). Although a low dose of aspirin is recommended for this purpose, some patients were resistant to aspirin (2). We previously reported that spontaneous mi-croaggregation of platelets (SMAPs) formed under no stimulation with exoge-nous agonists were frequently observed in type 2 di...
In this paper we address the problem of the adaptation of a speech recognition system to a new environment. The aim of adaptation is to compensate the mismatch between training and testing conditions without retraining completely the recognition system. The questions are what has to be compensated and how? We propose to compensate the means and variances of the Gaussian pdfs, representing the a...
Regardless of the distribution of the adaptation data in the testing environment, model-based adaptation methods that have so far been reported in various literature incorporate the adaptation data undiscriminatingly in reducing the mismatch between the training and testing environments. When the amount of data is small and the parameter tying is extensive, adaptation based on outlier data can ...
Given the importance of soil moisture for hydrological applications, such as weather and flood forecasting, passive microwave remote sensing is a promising approach for retrieving soil moisture due to its high sensitivity to near-surface soil moisture, applicability to all weather conditions, direct relationship with the soil dielectric constant, and reduced effects from vegetation and roughnes...
(Page intentionally left blank) Algorithm Theoretical Basis Documents (ATBDs) provide the physical and mathematical descriptions of the algorithms used in the generation of science data products. The ATBDs include a description of variance and uncertainty estimates and considerations of calibration and validation, exception control and diagnostics. Internal and external data flows are also desc...
It has been suggested that the underactivity of mesial frontal structures induced by dopamine depletion could constitute one of the main substrates underlying akinesia in Parkinson's disease. Functional imaging and movement-related potential recordings indicate an implication of the frontal lobes in this pathological process, but the question has not yet been investigated at a cellular level us...
Global measurements of soil moisture are vital to understanding the global water, energy and carbon cycles. An accurate estimation of soil moisture at a spatial resolution of better than 10km will benefit the future development of regional water resource applications, such as weather forecasting, flood prediction and agricultural activities. Therefore the objective of NASA’s Soil Moisture Activ...
The NASA Soil Moisture Active Passive (SMAP) mission Level 4 Carbon (L4_C) product provides model estimates of Net Ecosystem CO2 exchange (NEE) incorporating SMAP soil moisture information as a primary driver. The L4_C product provides NEE, computed as total respiration less gross photosynthesis, at a daily time step and approximate 14-day latency posted to a 9-km global grid summarized by plan...
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