Abstract: A phase change material composition for latent heat storage is provided. In one embodiment, the phase change material includes a salt hydrate having a melting temperature (Tm) of from 1° C. to 100° C. as determined in accordance with ASTM E793. The phase change material further includes a stabilizing matrix including a polysaccharide selected from the group of a nanocellulose, a sulfonated polysaccharide, a starch, a glycogen, a chitin, and combinations thereof. A composite article including the phase change material composition is also provided.

Abstract: A method comprises extracting first task data from a first data source corresponding to a first application and second task data from a second data source corresponding to a second application, and comparing the first task data to the second task data using one or more natural language processing techniques. In the method, one or more matching tasks between the first task data and the second task data are identified based at least in part on the comparing. Code of at least one of the first application and the second application is analyzed to determine whether the code of at least one of the first application and the second application implements the one or more matching tasks.

Abstract: A testing system and method for testing application code against various failure scenarios. The testing system and method generate a test workflow including test source code implementing a series of actions that affect an application component and or an infrastructure component included in application code. The testing system and method execute the test workflow to determine the performance of the application code during one or more failure scenarios caused by the series of actions included in the test workflow. Performance data generated by the test code is analyzed by a performance analysis service or method to identify limitations of the application code and build resiliency patterns that address the limitations and improve the performance of the application code.

Abstract: The present invention provides pure (1?R,6R,6aR,7R,13S,14S,16R)-5-(acetyloxy)-3?,4?,6,6a,7,13,14,16-octahydro-6?,8,14-trihydroxy-7?,9-dimethoxy-4,10,23-trimethyl spiro[6,16-(epithiopropanoxymethano)-7,13-imino-12H-1,3-dioxolo[7, 8]isoquino[3,2-b][3] benzazocine-20,1?(211)-isoquinolin]-19-one of formula (1) substantially free from one or more impurities selected from intermediate compound of formula (50), cyclic impurity of formula (A), deshydroxy impurity of formula (B) and hydroxy impurity of formula (C).

Abstract: Methods, apparatus, and processor-readable storage media for implementing a message management framework using machine learning techniques are provided herein. An example computer-implemented method includes processing a message comprising identifying at least one message type of the message; determining, based at least in part on the at least one identified message type, one or more message failures by applying one or more machine learning-based rules to at least a portion of the message; determining one or more remedial actions by processing, using one or more machine learning techniques, the at least one identified message type, the one or more determined message failures, and multiple attributes of the message; and performing one or more automated actions based at least in part on the one or more determined remedial actions.

Abstract: Certain embodiments of the present disclosure provide techniques for performing performance tests against services in a computing environment. The method generally includes deploying application code to an application namespace hosted on a first set of resources in the computing environment. Testing code is deployed to an infrastructure namespace hosted on a second set of resources in the computing environment. A request to test the application code is received. The request generally includes information identifying a load to be generated in testing the application code. A plurality of container instances implementing the test code are instantiated based on the identified load to be generated to test the application code. A test is executed against the application code through the instantiated plurality of container instances.

Abstract: The present disclosure relates to a peptide comprising at least five amino acid residues, wherein at least one amino acid residue is modified to an epsilon-lysine, delta-ornithine, gamma-2,4-diaminobutyric acid, beta-2,3-diaminopropionic acid, with the peptide also comprising at least one non-epsilon lysine, non-delta-ornithine, non-gamma-2,4-diaminobutyric acid or non-beta-2,3-diaminopropionic acid, and wherein the peptide displays a reduced or no cytotoxicity when compared to an equivalent non-modified peptide. In a preferred embodiment, the modifications are to the melittin or mastoparan B peptides, and comprise the substitution of at least one a-lysine residue for an ?-lysine residue, and the modified peptides display antimicrobial activity.

Abstract: A gating signal for masking overhead transitions in a data-strobe signal is generated adaptively based on timing events in the incoming data-strobe signal itself to yield a gating window that opens and closes deterministically with respect to active edges of the data-strobe signal.

Abstract: A method comprises receiving configuration data comprising a plurality of parameters of at least one computing environment. One or more of the parameters correspond to integration of one or more elements of the least one computing environment with one or more other elements at least one of within and external to the least one computing environment. In the method, the parameters are analyzed to detect one or more anomalies in the configuration data, and the configuration data and the one or more detected anomalies are inputted to one or more machine learning models. The method also comprises determining, using the one or more machine learning models, one or more modifications to at least one of the plurality of parameters based on the inputted configuration data and one or more detected anomalies, and transmitting the determination comprising the one or more modifications to a user over a communications network.

Abstract: An information handling system includes a repository that stores a pre-production validation suite and a production validation suite. The pre-production validation suite includes first validation factors, and the production validation suite includes second validation factors. A processor may deploy an application in a pre-production environment, and validate the application in the pre-production environment using the pre-production validation suite. If the application passes the pre-production validation suite, then the processor may deploy the application in a production environment. The processor also may validate the application in the production environment using the production validation suite, assign a score associated with each one of the first validation factors and each one of the second validation factors, and generate a report based on the score associated with each one of the first validation factors and each one of the second validation factors.

Abstract: In a receiver having at least a first equalizer and a sampler, a calibration module jointly calibrates a reference voltage and one or more equalizer coefficients. For each of a set of test reference voltages, an equalizer coefficient for the first equalizer may be learned that maximizes a right eye boundary of an eye diagram of a sampler input signal to a sampler of the receiver following the equalization stage. Then, from the possible pairs of reference voltages and corresponding optimal equalizer coefficients, a pair is identified that maximizes an eye width of the eye diagram. After setting the reference voltage, the first equalizer coefficient may then be adjusted together with learning a second equalizer coefficient for the second equalizer using a similar technique.

Abstract: An information handling system includes a repository that stores a pre-production validation suite and a production validation suite. The pre-production validation suite includes first validation factors, and the production validation suite includes second validation factors. A processor may deploy an application in a pre-production environment, and validate the application in the pre-production environment using the pre-production validation suite. If the application passes the pre-production validation suite, then the processor may deploy the application in a production environment. The processor also may validate the application in the production environment using the production validation suite, assign a score associated with each one of the first validation factors and each one of the second validation factors, and generate a report based on the score associated with each one of the first validation factors and each one of the second validation factors.

Abstract: In a delay control circuit having a plurality of series-coupled delay stages, an input signal is routed through one of the series-coupled delay stages via a first delay element if a first delay control value is in a first state, the first delay element imposing a first signal propagation delay according to a first bias signal. If the delay control value is in a second state, the input signal is routed through the one of the series-coupled delay stages via a second delay element instead of the first delay element, the second delay element imposing a second signal propagation delay according to a second bias signal. The first and second bias signals are calibrated such that the second signal propagation delay exceeds the first propagation delay by a predetermined time interval that is substantially briefer than the first signal propagation delay.

Abstract: A phase change material composition for latent heat storage is provided. In one embodiment, the phase change material includes a salt hydrate having a melting temperature (Tm) of from 1° C. to 100° C. as determined in accordance with ASTM E793. The phase change material further includes a stabilizing matrix including a polysaccharide selected from the group of a nanocellulose, a sulfonated polysaccharide, a starch, a glycogen, a chitin, and combinations thereof. A composite article including the phase change material composition is also provided.

Abstract: Methods, apparatus, and processor-readable storage media for implementing a message management framework using machine learning techniques are provided herein. An example computer-implemented method includes processing a message comprising identifying at least one message type of the message; determining, based at least in part on the at least one identified message type, one or more message failures by applying one or more machine learning-based rules to at least a portion of the message; determining one or more remedial actions by processing, using one or more machine learning techniques, the at least one identified message type, the one or more determined message failures, and multiple attributes of the message; and performing one or more automated actions based at least in part on the one or more determined remedial actions.

Abstract: In a receiver having at least a first equalizer and a sampler, a calibration module jointly calibrates a reference voltage and one or more equalizer coefficients. For each of a set of test reference voltages, an equalizer coefficient for the first equalizer may be learned that maximizes a right eye boundary of an eye diagram of a sampler input signal to a sampler of the receiver following the equalization stage. Then, from the possible pairs of reference voltages and corresponding optimal equalizer coefficients, a pair is identified that maximizes an eye width of the eye diagram. After setting the reference voltage, the first equalizer coefficient may then be adjusted together with learning a second equalizer coefficient for the second equalizer using a similar technique.

Abstract: A method includes receiving code for computer programming, analyzing the code and extracting a plurality of configuration properties from the code. In the method, one or more configuration files are generated from the extracted plurality of configuration properties, and microservice code is generated from the one or more configuration files. The microservice code is configured for deployment on one or more cloud computing platforms.

Abstract: In a receiver having at least a first equalizer and a sampler, a calibration module jointly calibrates a reference voltage and one or more equalizer coefficients. For each of a set of test reference voltages, an equalizer coefficient for the first equalizer may be learned that maximizes a right eye boundary of an eye diagram of a sampler input signal to a sampler of the receiver following the equalization stage. Then, from the possible pairs of reference voltages and corresponding optimal equalizer coefficients, a pair is identified that maximizes an eye width of the eye diagram. After setting the reference voltage, the first equalizer coefficient may then be245 adjusted together with learning a second equalizer coefficient for the second equalizer using a similar technique.

Abstract: A gating signal for masking overhead transitions in a data-strobe signal is generated adaptively based on timing events in the incoming data-strobe signal itself to yield a gating window that opens and closes deterministically with respect to active edges of the data-strobe signal.

Abstract: A gating signal for masking overhead transitions in a timing signal is generated adaptively based on timing events in the incoming timing signal itself to yield a gating window that opens and closes deterministically with respect to active edges of the timing signal.