Modeling and predictions
Polarization modeling and predictions for DKIST part 2: application of the Berreman calculus to spectral polarization fringes of beamsplitters and crystal retarders
... optical modeling software tools such as Zemax and ...literature. Predictions for sapphire and quartz bi-crystalline achromats with and without air gaps match observations of fringe spectral periods for a ...
34
Spatial analysis of plague in California: niche modeling predictions of the current distribution and potential response to climate change
... by modeling the cli- matic niche for plague in California, we have modeled a potential distribution for plague that is not the actual or realized ...niche modeling approach ...different modeling ...
14
HOMOLOGY MODELING AND ANALYSIS OF STRUCTURE PREDICTIONS OF KLF8 PROTEIN FROM HOMO SAPIENS
... In this study, KLF8 could even be linked with clinical data and revealed to be a significant predictor for overall and progression-free survival 11 . Only recently additional data was presented, which identified KLF8 as ...
6
Cardiovascular diseases and vulnerable plaques: data, modeling, predictions and clinical applications
... Image-based modeling for better understanding and assessment of atherosclerotic plaque progression and vulnerability: Data, modeling, validation, uncertainty and ...
7
MMSplice: modular modeling improves the predictions of genetic variant effects on splicing
... Variations across the reference genome or across nat- ural genetic variations in the population may be limited by evolutionary confounding factors, limiting the model’s ability to make predictions about rare ...
15
Leptonic and Hadronic Modeling of Fermi-Detected Blazars - Spectral Energy Distribution Modeling and High-Energy Polarization Predictions
... Two possibilities to distinguish leptonic from hadronic models for blazar emission have been amply discussed in the literature: (1) Only hadronic models predict the emis- sion of neutrinos from the γ-ray emission region, ...
5
On wake modeling, wind-farm gradients, and AEP predictions at the Anholt wind farm
... However, for AEP calculations for which we run three dif- ferent wake models using mesoscale model outputs as inflow conditions, accounting for the horizontal wind-speed gradi- ent (also[r] ...
12
Thermal modeling of lithium ion batteries for temperature rise predictions in hybrid vehicle application
... The Simulink model is validated for the drive cycles and the constant current discharge tests and it is predicting the rise in temperature with acceptable accuracy of ± 2.2°C. The developed model is comparatively less ...
8
Mathematical Modeling for Pharmacokinetic Predictions from Controlled Drug Release NanoSystems: A Comparative Parametric Study
... Mathematical modeling aids at predicting drug release rates, and thus helping researchers to develop highly eûective drug formulations and more accurate dosing regimens saving time and money 1 ...
6
Accuracy of depolarization and delay spread predictions using advanced ray based modeling in indoor scenarios
... Indoor path-loss predictions using RT are also usually satisfactory [8-10], at least if penetration is accounted for. This mechanism is particularly important in the absence of LOS or when the terminals are ...
9
Language Modeling with Syntactic and Semantic Representation for Sentence Acceptability Predictions
... Recently several large pre-trained language mod- els using transformation architecture, like BERT (Devlin et al., 2018), or bidirectional LSTM with attention, such as ELMo (Peters et al., 2018), have achieved state of ...
10
Modeling is a tool, and data are crucial A comment on "Modelling language evolution: Examples and predictions" by Tao Gong et al.
... Permanent repository link: http://openaccess.city.ac.uk/12817/ Link to published version: http://dx.doi.org/10.1016/j.plrev.2014.01.014 Copyright and reuse: City Research Online aims to [r] ...
6
Regression based season ahead drought prediction for southern Peru conditioned on large scale climate variables
... ancillary modeling ef- forts, such as extending the lead time of and spatially disag- gregating precipitation predictions to the local level as well as forecasting the number of wet–dry days per rainy ...
17
PubMedCentral-PMC4937869.pdf
... optimal modeling approach (combination of descriptor set, feature selec- tion, or machine learning algorithm) that will solve the QSAR/docking problem and achieve perfect prediction ...consistent ...
11
HESS Opinions: Hydrologic predictions in a changing environment: behavioral modeling
... In the words of Rinaldo et al. (2006), “nature works through imperfect searches for dynamically accessible op- timal configurations”. If we can discover and summarize the underlying principles in terms of rules or ...
12
Connectivity, not region-intrinsic properties, predicts regional vulnerability to progressive tau pathology in mouse models of disease
... across predictions from proximity or ND modeling using any of the connectivity, gene expression profile, or spatial distance networks, we employed two ...entered predictions from connectivity ...
17
Evolution and variability of the Asian monsoon and its potential linkage with uplift of the Himalaya and Tibetan Plateau
... Ma. Modeling predictions suggest that (i) uplift of the southern and central TP should have intensified the Indian summer monsoon (ISM) and the Somali Jet at 40 – 35 Ma; (ii) uplift of the northern TP ...
26
Climate Change Impacts and Adaptation in Rainfed Farming Systems: A Modeling Framework for Scaling Out Climate Smart Agriculture in Sub Saharan Africa
... Improving agricultural water productivity, under rainfed or irrigated conditions, holds significant scope for addressing climate change vulnerability. It also offers adaptation capacity needs as well as water and food ...
17
Advances in greenhouse automation and controlled environment agriculture: A transition to plant factories and urban agriculture
... photosynthesis predictions for plant growth progress [170] , predicting disease [171] , simulation of yield [172] , and production planning and cost-benefit ...conventional modeling techniques by predicting ...
22
Hot Spot Initiation Theory of High Explosives UCRL JC 145031 pdf
... Mesoscale modeling of the shock compression and temperature dependent chemical decomposition of individual explosive particles are currently yielding accurate predictions of hot spot for[r] ...
11