Results 21 to 30 of about 967,069 (289)
Modelling: Predictive yield [PDF]
Farmers would benefit from better long-range weather forecasts. What else can science provide to help them decide what to plant?
openaire +2 more sources
Improved dynamic geomagnetic rigidity cutoff modeling: testing predictive accuracy [PDF]
. In the polar atmosphere, significant chemical and ionization changes occur during solar proton events (SPE). The access of solar protons to this region is limited by the dynamically changing geomagnetic field.
Clilverd, Mark +3 more
core +1 more source
Background: Hepatitis C virus (HCV) infection is an important cause of morbidity and mortality in patients with chronic kidney disease (CKD). The objective of this study was to predict the impact of EBR/GZR on the incidence of liver and kidney related ...
Chizoba Nwankwo +2 more
doaj +1 more source
This work presents a perspective on deterministic predictive modeling methodologies, which aim at extracting best-estimate values for model responses and parameters along with reduced predicted uncertainties for these best-estimate values. The two oldest
Dan Gabriel Cacuci
doaj +1 more source
Challenges in imaging and predictive modeling of rhizosphere processes [PDF]
Background Plant-soil interaction is central to human food production and ecosystem function. Thus, it is essential to not only understand, but also to develop predictive mathematical models which can be used to assess how climate and soil management ...
Carminati, A. +6 more
core +5 more sources
Aerospace Mission Outcome: Predictive Modeling
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Ephraim Suhir
doaj +1 more source
Attentional Enhancement of Auditory Mismatch Responses: a DCM/MEG Study. [PDF]
Despite similar behavioral effects, attention and expectation influence evoked responses differently: Attention typically enhances event-related responses, whereas expectation reduces them.
Auksztulewicz, R, Friston, K
core +1 more source
Predictive modeling in reproductive medicine
The accurate prediction of fertility outcomes is an extremely interesting and challenging task in reproductive medicine. Efforts in this area focus on classic statistical models and newer technologies, including machine learning. The modeling process has
Jing Lin, Xiao-Xi Sun
doaj +1 more source
Modeling tumor measurement data to predict overall survival (OS) in cancer clinical trials
Introduction: Longitudinal tumor measurements (TM) are commonly recorded in cancer clinical trials of solid tumors. To define patient response to treatment, the Response Evaluation Criteria in Solid Tumors (RECIST) categorizes the otherwise continuous ...
Fang-Shu Ou +3 more
doaj +1 more source
Developing Predictive Molecular Maps of Human Disease through Community-based Modeling [PDF]
The failure of biology to identify the molecular causes of disease has led to disappointment in the rate of development of new medicines. By combining the power of community-based modeling with broad access to large datasets on a platform that promotes ...
Christine Suver +10 more
core +2 more sources

