Abstract: Aspects of the subject disclosure may include, for example, obtaining a first plurality of circumference measurements, each of the first plurality of circumference measurements corresponding to a first circumference around a limb of a person at a respective one of a plurality of locations of the limb, each of the first plurality of circumference measurements being obtained from a respective one of a plurality of elastic measurement elements that is positioned at a respective one of the locations; determining, based upon the first plurality of circumference measurements, a first geometric profile along a length of the limb; and outputting data representing the first geometric profile. Other embodiments are disclosed.

Abstract: A computer-implemented method includes receiving characteristics of available resources usable for downloading layers of a container image and fetching a manifest of the container image from a container registry. The method includes determining layers of the container image to be downloaded based on the manifest and, based on the characteristics of the available resources and sizes of the layers to be downloaded, adjusting an optimal parallelism to download the layers. The method includes downloading the layers.

Abstract: A user-customized method, system and computer program for automated translation from a source language and a target language. The user's native language and accent are detected, from which a set of phonemes is determined which are those that are difficult to pronounce for that user based on his or her native language and accent. A translation engine is applied to translate a fragment of the source language input into target language output, wherein the translation is performed with reference to the synonym database for the target language so as to preferentially avoid word strings in the output that contain phonemes that exist in the user's set of difficult-to-pronounce phonemes.

Abstract: The method of treating a bacterial infection using colostrum includes administering an effective amount of colostrum to a subject in need thereof. The infection can be caused by G+ or G? bacteria. The colostrum administered may be selected from the group consisting of bovine colostrum, camel colostrum, and a mixture of bovine colostrum and camel colostrum. The bacterial infection may be selected from the group consisting of Staphylococcus aureus subs. aureus Rosenbach, Escherichia coli, Pseudomonas aeruginosa, and Methicillin-resistant Staphylococcus aureus. A colostrum composition can include a mixture of bone and camel colostrum and a pharmaceutically acceptable carrier.

Abstract: A method for a provider to make a cognitive bidding decision may include using a processor and associated memory to a) obtain information, including unstructured data, relating to deals with procuring organizations, and b) determine a respective predicted business growth of each procuring organization based upon the information. The method may also include using the processor and the associated memory to c) determine a respective predicted growth of provider services for each procuring organization based upon the information, and d) determine a respective probability of winning each bid for each deal from each procuring organization. The method may further include using the processor and the associated memory to e) determine a respective predicted revenue based upon winning each bid, and determine whether to submit each bid based upon b), c), d), and e).

Abstract: One embodiment provides a quality of service (QoS) monitoring framework for dynamically binding one or more customer applications to one or more microservices in a dynamic service environment, collecting compliance data and contextual data from the dynamic service environment and one or more hosting environments, and modifying a monitoring infrastructure for the one or more customer applications based on the compliance data and the contextual data.

Abstract: An example method for multi-tenant adaptive monitoring comprises detecting occurrence of a trigger event and modifying a selection of metrics included in a plurality of monitored metrics that are monitored using available resources of a plurality of tenants. The method further comprises assigning a respective monitoring frequency for each metric; computing respective weights for each metric in the modified selection of metrics; performing a feasibility check to find a solution to a mathematical model for monitoring the modified selection of metrics at the respective assigned monitoring frequency for each metric; and, in response to determining that a solution to the mathematical model cannot be found, adjusting the respective monitoring frequency for one or more metrics. The method further comprises, in response to finding a first solution to the mathematical model, allocating processing associated with monitoring each metric among the available resources of the plurality of tenants.

Abstract: Described herein is a mechanism for improving the accuracy of a language model interpreting short input utterances. A language model operates in a stateless manner, only ascertaining the intents and/or entities associated with a presented input utterance. To increase the accuracy, two language understanding models are trained. One is trained using only input utterances. The second is trained using input utterance-prior dialog context pairs. The prior dialog context is previous intents and/or entities already determined from the utterances in prior turns of the dialog. When input is received, the language understanding model decides whether the input comprises only an utterance or an utterance and prior dialog context. The appropriate trained machine learning model is selected and the intents and/or entities associated with the input determined by the selected machine learning model.

Abstract: A user-customized method, system and computer program for automated translation from a source language and a target language. The user's native language and accent are detected, from which a set of phonemes is determined which are those that are difficult to pronounce for that user based on his or her native language and accent. A translation engine is applied to translate a fragment of the source language input into target language output, wherein the translation is performed with reference to the synonym database for the target language so as to preferentially avoid word strings in the output that contain phonemes that exist in the user's set of difficult-to-pronounce phonemes.

Abstract: Embodiments relate to a computer system, computer program product, and method to support context aware container volume management. Two or more containers are operatively coupled to a shared operating system instance. Workflow and system topologies directed at the containers are modeled. The workflow models transition states of containers. The container topology model identifies relationships between two more containers. The storage topology model identifies a relationship and dependency of storage volumes. The models are leveraged to assess and autonomously determine functional container storage requirements. Assignment(s) of an application container to a volume is optimized and selectively attached responsive to the autonomous determination.

Abstract: The method of treating a bacterial infection using colostrum includes administering an effective amount of colostrum to a subject in need thereof. The infection can be caused by G+ or G? bacteria. The colostrum administered may be selected from the group consisting of bovine colostrum, camel colostrum, and a mixture of bovine colostrum and camel colostrum. The bacterial infection may be selected from the group consisting of Staphylococcus aureus subs. aureus Rosenbach, Escherichia coli, Pseudomonas aeruginosa, and Methicillin-resistant Staphylococcus aureus. A colostrum composition can include a mixture of bone and camel colostrum and a pharmaceutically acceptable carrier.

Abstract: Adaptive monitoring dynamically optimizes the monitoring frequency of metrics with respect to system constraints. One or more metrics are monitored. The monitoring includes receiving a value for the metric and evaluating the received metric value. If the evaluation is determined to affect one or monitoring parameters, or if an environment-based event occurs the metrics are adapted. Adapting metrics includes removing or adding a metric based on each metric's correlation to the affected monitoring parameter or environment based trigger. The frequencies of the metrics are optimized based on the available resources.

Abstract: A computer-implemented method includes receiving characteristics of available resources usable for downloading layers of a container image and fetching a manifest of the container image from a container registry. The method includes determining layers of the container image to be downloaded based on the manifest and, based on the characteristics of the available resources and sizes of the layers to be downloaded, adjusting an optimal parallelism to download the layers. The method includes downloading the layers.

Abstract: Described herein is a mechanism for improving the accuracy of a language model interpreting short input utterances. A language model operates in a stateless manner, only ascertaining the intents and/or entities associated with a presented input utterance. To increase the accuracy, two language understanding models are trained. One is trained using only input utterances. The second is trained using input utterance-prior dialog context pairs. The prior dialog context is previous intents and/or entities already determined from the utterances in prior turns of the dialog. When input is received, the language understanding model decides whether the input comprises only an utterance or an utterance and prior dialog context. The appropriate trained machine learning model is selected and the intents and/or entities associated with the input determined by the selected machine learning model.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a first plurality of circumference measurements, each of the first plurality of circumference measurements corresponding to a first circumference around a limb of a person at a respective one of a plurality of locations of the limb, each of the first plurality of circumference measurements being obtained from a respective one of a plurality of elastic measurement elements that is positioned at a respective one of the locations; determining, based upon the first plurality of circumference measurements, a first geometric profile along a length of the limb; and outputting data representing the first geometric profile. Other embodiments are disclosed.

Abstract: The term DNA sequencing is commonly applied to several methods and technologies that are used for determining the order of the nucleotide bases adenine, guanine, cytosine, and thymine in a molecule of DNA. It has many applications in numerous applied fields such as diagnostic, biotechnology, forensic biology and biological systematic, in the sequencing of the human genome, and in the Human Genome Project. In the presented machine, DNA sample fragments are amplified by usual PCR technique. The individual nucleotides are added to the nascent DNA. If the nucleotide is complementary to the tested DNA fragment, a change in the concentration of the added nucleotide could be traced. This change could be detected by any method indicating a complementary nucleotide. Finally, the combined data are used to generate sequence read-outs by computer system.

Abstract: Provided is a composition which can be utilized for drug delivery systems that can penetrate the blood brain barrier, and has low cytotoxicity. A nanoparticle composition comprises nanoparticles to the surface of which a first substance and a second substance each having specificity to a tumor cell are bound, wherein the first substance having specificity to the tumor cell is a peptide comprising an amino acid sequence of arginine-glycine-aspartic acid, and wherein the second substance having specificity to the tumor cell is an iron-binding protein, and wherein the nanoparticles each comprise an outer layer and vesicles enveloped by the outer layer and the nanoparticles each comprise, as membrane components, a PEGylated phospholipid, a fatty acid with a melting point of 30° C. or more, and a non-PEGylated phospholipid.

Abstract: Embodiments relate to a computer system, computer program product, and method to support context aware container volume management. Two or more containers are operatively coupled to a shared operating system instance. Workflow and system topologies directed at the containers are modeled. The workflow models transition states of containers. The container topology model identifies relationships between two more containers. The storage topology model identifies a relationship and dependency of storage volumes. The models are leveraged to assess and autonomously determine functional container storage requirements. Assignment(s) of an application container to a volume is optimized and selectively attached responsive to the autonomous determination.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a first plurality of circumference measurements, each of the first plurality of circumference measurements corresponding to a first circumference around a limb of a person at a respective one of a plurality of locations of the limb, each of the first plurality of circumference measurements being obtained from a respective one of a plurality of elastic measurement elements that is positioned at a respective one of the locations; determining, based upon the first plurality of circumference measurements, a first geometric profile along a length of the limb; and outputting data representing the first geometric profile. Other embodiments are disclosed.

Abstract: A monitoring system for metric data may include devices, each device capable of generating respective metric data. The monitoring system may also include a processor and a memory cooperating therewith. The processor may be configured to monitor the devices via a network to obtain the respective metric data, generate predicted trigger events based on monitoring the devices, and generate a respective adapted monitoring for the devices based upon each predicted trigger event. The processor may also be configured to, upon occurrence of one of the predicted trigger events, implement the respective adapted monitoring to obtain new respective metric data.