public abstract String publicKey() Gets the publicKey property: The public key for encrypting a credential when transferring the credential to the integration runtime. Returns: the publicKey value.serviceToken public abstract String serviceToken() Gets the serviceToken property: The token gener...
public IntegrationRuntimeType type() Get the type property: Type of integration runtime. Returns: the type value.validate public void validate() Validates the instance.withAdditionalProperties public IntegrationRuntime withAdditionalProperties(Map additionalProperties) Set the additionalProperties property: Azure...
public SelfHostedIntegrationRuntime withLinkedInfo(LinkedIntegrationRuntimeType linkedInfo) Set the linkedInfo property: The base definition of a linked integration runtime. Parameters: linkedInfo - the linkedInfo value to set. Returns: the SelfHostedIntegrationRuntime object itself.with...
public static IntegrationRuntimeState fromString(String name) Creates or finds a IntegrationRuntimeState from its string representation. Parameters: name - a name to look for. Returns: the corresponding IntegrationRuntimeState.values public static Collection values() Gets known IntegrationRuntimeState ...
This would allow aggregation of a greater number of Access layer switches without needing to move to a second aggregation block. Other factors may drive the migration away from an integrated services approach, such as the desire to deploy new hardware in the Aggregation layer that may not ...
Integration of single-cell RNA sequencing data between different samples has been a major challenge for analyzing cell populations. However, strategies to integrate differential expression analysis of single-cell data remain underinvestigated. Here, we b
Since u0(t) is a square integrable time signal whose Fourier transform u0(ω) is such that u0(ω) = 0 for ω∉B0=[−Δω/2,Δω/2], Shannon’s theorem can be used and yields (see Papoulis, 1977; Soize, 1993a), (36)u0(t)=∑m∈ℤu0(mΔt)sin{ωL(t−mΔt)}ωL...
SVM, vector machine regression; MLP, neural network model; GPR, Gaussian process regression; MSE, mean square error. Source data Extended Data Fig. 5 Comparison between the predicted and experimental results by the GPR learning model. The predicted and experimental EPA content at different copy ...
injections (GHIs) consisting of 52 normal and 26 abnormal samples were acquired by employing HPLC-UV, -ELSD, and quantitative 1H NMR (q1HNMR), of which data obtained was then individually used for Pearson correlation coefficient (PCC) calculation and partial least square-discriminant analysis (PLS...
A set of NodeJS clients for over 1000 different APIs and services, including: AWS • Azure • MongoDB • Slack • GitHub • Twilio • Trello • Square • Google Sheets • Gmail • Heroku The client libraries can be used with or without the DataFire framework. Installing an...