Abstract: An embodiment includes an apparatus comprising: a dielectric material including fixed charges, the fixed charges each having a first polarity; a channel comprising a channel material, the channel material including a 2-dimensional (2D) material; a drain node; and a source node including a source material, the source material including at least one of the 2D material and an additional 2D material; wherein the source material: (a) includes charges each having a second polarity that is opposite the first polarity, (b) directly contacts the dielectric material. Other embodiments are described herein.

Abstract: In an embodiment, the present invention provides a computer system for use by caregivers in the prevention and treatment of acute otitis media (AOM) with the use of the Galbreath technique in children from shortly after birth to about six years of age. The computer system assists caregivers in the monitoring of children who may be at risk for AOM or who may be experiencing an active episode of AOM. The system may make automated suggestions in real time of treatment options available to a caregiver at home. The computer system may include a diary component, and may include a Virtual Coach component providing reminders in real time and educational materials in the use of the Galbreath Technique and other medical interventions in the prevention and treatment of AOM.

Abstract: A method and system. Target clusterability is calculated as an average of a respective clusterability of at least one target data item comprised by a target domain. Target-side matchability is calculated as an average of a respective matchability of each target centroid of the target domain to source centroids of a source domain, wherein the source domain comprises at least one source data item. Source-side matchability is calculated as an average of a respective matchability of each source centroid of said source centroids to the target centroids. Source-target pair matchability is calculated as an average of the target-side matchability and the source-side matchability. Cross-domain clusterability between the target domain and the source domain is calculated as a linear combination of the calculated target clusterability and the calculated source-target pair matchability. The cross-domain clusterability is transferred to a device.

Abstract: Identification of an intent of a conversation can be useful for real-time or post-processing purposes. According to example embodiments, a method, and corresponding apparatus of identifying at least one intent-bearing utterance in a conversation, comprises determining at least one feature for each utterance among a subset of utterances of the conversation; classifying each utterance among the subset of utterances, using a classifier, as an intent classification or a non-intent classification based at least in part on a subset of the at least one determined feature; and selecting at least one utterance, with intent classification, as an intent-bearing utterance based at least in part on classification results by the classifier. Through identification of an intent bearing utterance, a call center for example, can provide improved service for callers through, for example, more effective directing of a call to a live agent.

Abstract: The present invention provides a pump plate (60) for conditioning the flow of a fluid before the fluid enters an inlet (51) of a circulation pump (50) of a dishwasher. The pump plate (60) may have a plate portion with a number of holes (62) dispersed across its surface such that fluid may flow through the holes (62). The pump plate (60) may also include one or more upper guide vanes (63) extending outwardly from the plate portion and configured to reduce the turbulence in the fluid flow. A dishwasher (10) including a pump plate (60) and a method for manufacturing such a dishwasher are also provided. A dishwasher (10) that includes a pump plate (60) to condition the fluid flow within the dishwasher may be configured to function efficiently while requiring less water to complete a rinse or wash cycle than a dishwasher that does not include a pump plate.

Abstract: A method and system. Target clusterability is calculated as an average of a respective clusterability of at least one target data item comprised by a target domain. Target-side matchability is calculated as an average of a respective matchability of each target centroid of the target domain to source centroids of a source domain, wherein the source domain comprises at least one source data item. Source-side matchability is calculated as an average of a respective matchability of each source centroid of said source centroids to the target centroids. Source-target pair matchability is calculated as an average of the target-side matchability and the source-side matchability. Cross-domain clusterability between the target domain and the source domain is calculated as a linear combination of the calculated target clusterability and the calculated source-target pair matchability. The cross-domain clusterability is transferred to a device.

Abstract: A computer system and method is disclosed as a support structure for patients with hypertension or prehypertension to encourage life style changes leading to dietary control, increase exercise and blood pressure control. The method includes automated messages and responses delivered in real time to encourage appropriate actions by the patient. A diary feature is provided for user input of various relevant parameters, such as foods consumed, exercise activities, body weight, blood pressure, and heart rate. The computer system and method may be implemented on a mobile computing device, such as a smart phone or wearable, a conventional personal computer, or a web service. Most functions will be provided on the mobile device, but some housekeeping and data visualization functions may be limited to the personal computer or web service implementations.

Abstract: Methods and arrangements for developing knowledge bases from social media. A question is obtained from social media. Social media are consulted, and a legitimacy of the question is ascertained. All the answers to the question are harvested from the social media including the rich media that is associated with these answers, and the question is filtered out if determined not to be legitimate.

Abstract: Methods and arrangements for developing knowledge bases from social media. A question is obtained from social media. Social media are consulted, and a legitimacy of the question is ascertained. All the answers to the question are harvested from the social media including the rich media that is associated with these answers, and the question is filtered out if determined not to be legitimate.

Abstract: Methods and arrangements for computing a schedule for central air conditioning. Inputs are received, including: a monetary budget relative to a predetermined time period; an occupancy profile relative to the predetermined time period; and at least one of: electricity rates relative to the predetermined time period, and technical specifications of the central air conditioning. A target indoor temperature is determined based on the received inputs, with respect to different timepoints within the predetermined time period. An air conditioning schedule is determined for the different timepoints within the predetermined time period, wherein this determining includes reducing a quantitative measure relating to discomfort. Other variants and embodiments are broadly contemplated herein.

Abstract: Methods, systems, and computer program products for suggesting sensor placements are provided herein.

Abstract: Methods, systems, and computer program products for mitigating the effects of shading in photovoltaic cells using flow batteries are provided herein. A computer-implemented method includes connecting at least one fuel stack to one or more photovoltaic cells, wherein each fuel stack comprises (i) one or more ports and (ii) one or more electrochemical cells; determining that one or more portions of the one or more photovoltaic cells are impacted by a shading effect; converting chemical energy stored in an electrolytic solution to electrical energy, by interacting the electrolytic solution with the electrochemical cells of each fuel stack connected to the portions of the impacted photovoltaic cells; automatically opening the ports of each fuel stack connected to the one or more portions of the impacted photovoltaic cells; and supplying the electrical energy to the portions of the impacted photovoltaic cells.

Abstract: A computer generates labels for machine learning algorithms by retrieving, from a data storage circuit, multiple label sets that contain labels that each classify data points in a corpus of data. A graph is generated that includes a plurality of edges, each edge between two respective labels from different label sets of the multiple label sets. Weights are determined for the plurality of edges based upon a consistency between data points classified by two labels connected by the edges. An algorithm is applied that groups labels from the multiple label sets based upon the weights for the plurality of edges. Data points are identified from the corpus of data that represent conflicts within the grouped labels. An electronic message is transmitted in order to present the identified data points to entities for further classification. A new label set is generated using the further classification received from the entities.

Abstract: A computer generates labels for machine learning algorithms by retrieving, from a data storage circuit, multiple label sets that contain labels that each classify data points in a corpus of data. A graph is generated that includes a plurality of edges, each edge between two respective labels from different label sets of the multiple label sets. Weights are determined for the plurality of edges based upon a consistency between data points classified by two labels connected by the edges. An algorithm is applied that groups labels from the multiple label sets based upon the weights for the plurality of edges. Data points are identified from the corpus of data that represent conflicts within the grouped labels. An electronic message is transmitted in order to present the identified data points to entities for further classification. A new label set is generated using the further classification received from the entities.

Abstract: A computer generates labels for machine learning algorithms by retrieving, from a data storage circuit, multiple label sets that contain labels that each classify data points in a corpus of data. A graph is generated that includes a plurality of edges, each edge between two respective labels from different label sets of the multiple label sets. Weights are determined for the plurality of edges based upon a consistency between data points classified by two labels connected by the edges. An algorithm is applied that groups labels from the multiple label sets based upon the weights for the plurality of edges. Data points are identified from the corpus of data that represent conflicts within the grouped labels. An electronic message is transmitted in order to present the identified data points to entities for further classification. A new label set is generated using the further classification received from the entities.

Abstract: Methods, systems, and computer program products for cognitive disambiguation of problem-solving tasks involving a power grid are provided herein. A computer-implemented method includes capturing user feedback pertaining to relevance of remote terminal unit measurements related to a grid event through user interface interactions carried out by the user, wherein the user interface is communicatively linked to at least one computing device; automatically inferring rules related to the grid event to curate remote terminal unit measurements across iterations of analysis by recognizing irrelevant data and/or distractions in a visual display associated with the user interface, wherein said automatically inferring comprises implementing machine learning via the at least one computing device based on the user feedback; and outputting candidate solutions to a problem-solving task involving the grid based on the inferred rules, wherein said outputting is carried out by the at least one computing device.

Abstract: Methods, systems, and computer program products for determining intermittent renewable energy penetration limits in a grid are provided herein.

Abstract: Methods and arrangements for computing a schedule for central air conditioning. Inputs are received, including: a monetary budget relative to a predetermined time period; an occupancy profile relative to the predetermined time period; and at least one of: electricity rates relative to the predetermined time period, and technical specifications of the central air conditioning. A target indoor temperature is determined based on the received inputs, with respect to different timepoints within the predetermined time period. An air conditioning schedule is determined for the different timepoints within the predetermined time period, wherein this determining includes reducing a quantitative measure relating to discomfort. Other variants and embodiments are broadly contemplated herein.

Abstract: Methods, systems, and computer program products for identifying one or more utterances that are likely to carry the intent of a speaker are provided herein. A method includes providing a transcript of utterances to a word weight scoring module to perform inverse document frequency based scoring on each word in the transcript, thereby generating a weight for each word; calculating a weight for each utterance in the transcript to generate weighted utterances by summing the weights or each constituent word in each utterance; comparing at least one weighted utterance to pre-existing example utterances carrying the intent of a speaker to determine a relevancy score for the at least one weighted utterance; and generating a ranked order of the at least one weighted utterance from highest to lowest intent relevancy score, wherein the highest intent relevancy score corresponds to the utterance which is most likely to carry intent of the speaker.

Abstract: Methods, systems, and computer program products for composing applications on a mobile device are provided herein. A method includes exposing multiple capabilities from a set of multiple applications installed on an operating system of a user device to a configuration module executing on the operating system of the user device; defining one or more rules associated with using each of the multiple exposed capabilities; and invoking a combination of two or more of the multiple exposed capabilities, based on said one or more defined rules, to execute a user-defined task, wherein said invoking is executed by a super application executing on the operating system of the user device.