Analyses and Prediction
Explorative analyses on the value of interim PET for prediction of response in pediatric and adolescent non-Hodgkin lymphoma patients
... The data addressing the role of interim or end of treat- ment PET in pNHL are rare. Regarding the prediction of response to therapy, Edeline et al. [23] reported that in- formation gathered from end of treatment ...
11
The Study of Contact Pressure Analyses and Prediction of Dynamic Fatigue Life for Linear Guideways System
... For example, Lundberg and Palmgren used maximum orthogonal shear stress in their model. Some researchers found cracks initiated at the depth where maximum shear stress occurs, which prompted them to use maximum shear ...
8
FUN3D Analyses in Support of the First Aeroelastic Prediction Workshop
... accurate prediction of unsteady aerodynamic phenomena and their effects on the aeroelastic response of a ...CAE prediction landscape are proprietary to the organizations that obtained them, making them ...
24
An investigation in energy consumption analyses and application level prediction techniques
... power analyses techniques have separated themselves from the general performance domain by neglecting performance efficiency or have isolated energy consumption completely from other performance met- rics such as ...
235
Protein function prediction by massive integration of evolutionary analyses and multiple data sources
... term prediction from amino acid trigram mining The same naïve Bayes classification approach that was used to relate GO terms to descriptive statements in the UniProtKB/Swiss-Prot records was also applied to the ...
11
Bioinformatics analyses of alternative splicing, est-based and machine learning-based prediction
... We used SVM feature importance and information gain criteria to order features according to their importance with respect to the problem of predicting alternatively spliced exons. First, a linear kernel SVM classifier ...
62
Statistical Modeling and Prediction of HIV/AIDS Prognosis: Bayesian Analyses of Nonlinear Dynamic Mixtures
... make prediction about the class membership one year later based on the available data for CD4 ...membership prediction, clinical physicians can change or modify the therapy strategy accord- ...
76
Real-time Traffic Flow Detection and Prediction Algorithm: Data-Driven Analyses on Spatio-Temporal Traffic Dynamics
... Numerical accuracy of the prediction is obviously important in the model comparison. However, comparing different models based solely on the accuracy may be not fair, since other factors such as computation time, ...
142
Structural and Biochemical Analyses of Swine Major Histocompatibility Complex Class I Complexes and Prediction of the Epitope Map of Important Influenza A Virus Strains
... 33. Groenen MA, Archibald AL, Uenishi H, Tuggle CK, Takeuchi Y, Roth- schild MF, Rogel-Gaillard C, Park C, Milan D, Megens HJ, Li S, Larkin DM, Kim H, Frantz LA, Caccamo M, Ahn H, Aken BL, Anselmo A, Anthon C, Auvil L, ...
17
Development of temporal modelling for forecasting and prediction of malaria infections using time series and ARIMAX analyses: A case study in endemic districts of Bhutan
... a prediction model incorporating climatic factors such as tempera- ture, humidity and rainfall; which are important in the development of malaria parasites and vector bionomics ...
9
Impact of airborne cloud radar reflectivity data assimilation on kilometre-scale numerical weather prediction analyses and forecasts of heavy precipitation events
... The analyses of the ARPEGE global operational NWP model are used to provide boundary conditions. AROME- WMed has a 3 h 3D variational (3DVar) data assimilation system (Brousseau et al., 2014) based on an ...
21
Impact of airborne cloud radar reflectivity data assimilation on kilometre-scale numerical weather prediction analyses and forecasts of heavy precipitation events
... ical scores (FAR and POD), and for the 9 and 12 h rainfall accumulation forecasts. 7 Discussions and conclusions The primary objective of this article was to assess the im- pact of the assimilation of W-band radar ...
20
Energy Consumption on Dairy Farms: A Review of Monitoring, Prediction Modelling, and Analyses
... monitoring, prediction modelling and analyses point of ...increased prediction accuracy has been demonstrated in energy literature due to employing various machine-learning ...energy ...
25
A note on the graphical presentation of prediction intervals in random-effects meta-analyses
... a prediction interval (PI) can be used to determine the degree of heterogeneity, as it provides a region in which about 95% of the true study effects are expected to be ...95% prediction interval ’ , and ...
5
Quantitative Prediction of Coalbed Gas Content Based on Seismic Multiple-Attribute Analyses
... Quantitative Prediction of CBM Gas Content Based on Multiple Seismic Attributes In order to obtain mutually complementary and corroborating results and to improve accuracy in gas content prediction, a ...
16
Bacterial regulon modeling and prediction based on systematic \u3ci\u3ecis\u3c/i\u3e regulatory motif analyses
... motif analyses and accurate operon identification into a phylogenetic footprinting ...genomes, prediction of motifs with high efficacy and prediction of regulons; and (iii) a collection of new ...
13
Prediction and prevention of fetal growth restriction and compromise of fetal wellbeing : systematic reviews and meta-analyses with model based economic evaluation
... 140 Due to lack of clarity in the description of included populations it was not always possible to adequately identify populations as high or low risk and this has implications for any future recommendations for ...
612
Enzymatic Synthesis of 3-O-Acylbetulinic Acid Derivatives and Prediction of Acylation Using Response Surface Methodology and Artificial Neural Network Analyses
... and Prediction of Acylation using Response Surface Methodology and Artificial Neural Network Analyses" in accordance with the Universities and University Colleges Act 1971 and the Constitution of the ...
25
Prediction and Subtyping of Hypertension from Pan-Tissue Transcriptomic and Genetic Analyses
... dysregulation. Analyses of pan-tissue transcriptional dysregulation profile, as well as eQTL SNPs underlying the dysregulated genes, reveals substantial heterogeneity among the HT patients, revealing two broad ...
14
Automated Prediction of Student Participation in Collaborative Dialogs Using Time Series Analyses
... The feature most correlated to student participation is the average pause according to Spearman ’ s rank correlation coef fi cient from Table 2, followed by the number of contributions an[r] ...
9