Abstract: Method (100) for controlling the operation of a refrigerator (1) comprising: a cabinet (2) defining a refrigeration and/or freezing area; an isolating door (3) that opens and closes the refrigeration and/or freezing area of the cabinet (2); a door opening sensor (31); and a cooling system (5) configured to modify the temperature of the refrigeration and/or freezing area; the method (100) comprising the steps of: monitoring the opening and closing of the door (31) by means of the door opening sensor (31) during a determined period; generating (206) a door opening probability distribution (206a) at the time monitored in the previous step; and maintaining or modifying the operation of the cooling system (5) according to the door opening probability distribution (206a).

Abstract: The exemplary embodiments disclose a method, a computer program product, and a computer system for determining a duration of use left in an oxygen tank. The exemplary embodiments may include collecting data of a user and corresponding oxygen tank, extracting one or more features from the collected data, and determining a duration of use left in the oxygen tank based on the extracted one or more features and one or more models.

Abstract: Three-dimensional printing of objects is facilitated. For an object to be printed in three-dimensions (3D), one or more contact points relating to the object are determined. A contact point is at least one location on a base of a 3D printer in which a portion of the object is to contact the base based on printing the portion of the object. A centralized location of the base at which one or more movable blocks of the base are to be moved to position the one or more contact points at the centralized location to facilitate printing of the one or more portions of the object is also determined. A print plan to be used to print the object in three-dimensions is created, in which the print plan includes one or more instructions to print at least the one or more portions of the object at the centralized location.

Abstract: An application priority level of an application to be executed within a computing environment is determined. The application priority level is specific to a select entity. Using the application priority level of the application a storage resource of the computing environment to be allocated to one or more workloads of the select entity is selected. At least one workload of the one or more workloads includes the application. An action is taken, based on selecting the storage resource, to facilitate allocation of the storage resource.

Abstract: Three-dimensional printing of objects is facilitated. For an object to be printed in three-dimensions (3D), one or more contact points relating to the object are determined. A contact point is at least one location on a base of a 3D printer in which a portion of the object is to contact the base based on printing the portion of the object. A centralized location of the base at which one or more movable blocks of the base are to be moved to position the one or more contact points at the centralized location to facilitate printing of the one or more portions of the object is also determined. A print plan to be used to print the object in three-dimensions is created, in which the print plan includes one or more instructions to print at least the one or more portions of the object at the centralized location.

Abstract: Data privacy information pertaining to particular data hosted by a first workload provisioned to a first location can be received. The first workload can be monitored to determine whether the first workload is accessed by a second workload, determine whether the second workload is indicated as being authorized, in the data privacy information, to access the particular data hosted by first workload, and determine whether the second workload has access to the particular data hosted by the first workload. If so, the first workload can be automatically provisioned to a second location to which provisioning of the first workload is allowed based on the data privacy information.

Abstract: A method and a system for automating security updates in a multi-tiered architecture of a system environment. The method includes receiving a software update note relating to a multi-tiered architecture system environment and determining a patch in the software update note is initially compatible with the system environment. The method also includes predicting, by a patch acceptance machine learning model, the patch is patchable within the system environment and predicting, by an installation machine learning model, an installation patch time for the patch on the system environment. The method also includes installing the patch at the installation patch time on the system environment, and validating the patch installation using a validation machine learning model.

Abstract: A computer-implemented method, computer system, and computer program product for for generation of a chatbot. The method may include receiving data in a first format. The method may include generating one or more clusters from the received data. The method may include labeling the generated one or more clusters. The method may include exporting the one or more labeled clusters into a cluster database. The method may include generating the chatbot using the one or more labeled clusters exported from the cluster database. The method may include executing a validation script into the chatbot to generate a report. The method may include receiving a determination on an accuracy of the chatbot based on the generated report. In response to determining that the chatbot is not accurate, the method may include determining whether a manual adjustment directly on the chatbot is needed.

Abstract: A determination is made whether an incident that affects one configuration item in a plurality of configuration items within an information technology environment impacts at least one event for at least one other configuration item in the plurality of configuration items. In response to determining that the incident does impact at least one event on at least one other configuration item, one or more pre-defined actions to execute on the at least one other configuration item are identified. The identified one or more pre-defined actions are executed on the at least one other configuration item.

Abstract: Aspects of the present disclosure relate to light-based 3D printing. A computer aided design (CAD) representation of an object is obtained. Mirror and lighting requirements of a light-based 3D printer containing at least one mirror and at least one light source are determined based on the CAD representation of the object. Mirror and lighting characteristics of the at least one mirror and the at least one light source are adjusted based on the determined mirror and lighting requirements, the adjusting resulting in a first 3D light-based printer configuration. A 3D printing process is then initiated, wherein initiating the 3D printing process includes exposing a photosensitive material within the light-based 3D printer to light based on the first light-based 3D printer configuration.

Abstract: A method (and structure) to connect a mobile device to a local Wi-Fi network includes providing an input capability for a user of the mobile device to request to make a connection to a local Wi-Fi network. A processor on the mobile device retrieves, from a memory device of the mobile device, a listing of registered local Wi-Fi networks available at the user's current location. A request to connect to a selected one of the registered local Wi-Fi networks listed on the retrieved listing of registered local Wi-Fi networks is transmitted from the mobile device. The mobile device is connected to the selected registered local Wi-Fi network upon receipt of an indication by the selected registered local Wi-Fi network that the user has been validated and verified as trustable.

Abstract: A system can evaluate multiple candidate scripts. The system receives a problem statement and a sample solution script. The system selects an additional script based on the sample solution script, and compiles a list of candidates including the sample and additional scripts. Then, for each of the candidates, the system simulates execution of the script and scores performance of the script. The system then presents results of the execution.

Abstract: A method and a system for automating security updates in a multi-tiered architecture of a system environment. The method includes receiving a software update note relating to a multi-tiered architecture system environment and determining a patch in the software update note is initially compatible with the system environment. The method also includes predicting, by a patch acceptance machine learning model, the patch is patchable within in the system environment and predicting, by an installation machine learning model, an installation patch time for the patch on the system environment. The method also includes installing the patch at the installation patch time on the system environment, and validating the patch installation using a validation machine learning model.

Abstract: The exemplary embodiments disclose a method, a computer program product, and a computer system for determining a duration of use left in an oxygen tank. The exemplary embodiments may include collecting data of a user and corresponding oxygen tank, extracting one or more features from the collected data, and determining a duration of use left in the oxygen tank based on the extracted one or more features and one or more models.

Abstract: Computer-generated speech based on a device feed includes generating a corpus for robotic use by receiving first information representative of a user's speech in different environments at different times and second information representative of environmental conditions of different locations at the different times. The first and second information of corresponding different environments and different locations for each of the different times is combined with third information received from external data sources. A plurality of annotated combined datasets including the first information, the second information, and the third information is generated for each of the different times in a repository. The plurality of annotated combined datasets is correlated to create training data that is subsequently processed using a predetermined machine learning model.

Abstract: Detection and monitoring of health conditions that are accompanied by an injury site includes receiving, by one or more processors, an identifier associated with a patient and an associated first image, the first image corresponding to an injury in the injury site. The one or more processors analyze the associated first image using a machine learning model that includes an inference engine and a knowledge base. The machine learning model compares the associated first image against a patient data history and a tracking database. In response to a determination the injury site is associated with the health condition, the one or more processors generate a first result including sending a report containing the first result to a healthcare professional caring for the patient and display the first result informing the patient and healthcare professional the injury needs special care including requiring an appointment.

Abstract: The invention relates to a biochemical diagnostic test performed on peripheral blood, which allows the diagnosis of Attention Deficit Hyperactivity Disorder (ADHD). Specifically, the serum levels of at least 6 markers corresponding to 2 groups of functional lipids, esfingolipids and long-chain polyunsaturated fatty acids (LC-PUFAs) are measured, specifically: Ceramide C16:0, Ceramide C24:0, Deoxy dihydro-ceramide C24:1 and Sphinganin 1-phosphate, docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA), detecting a variation in concentrations with respect to the values for the control population.

Abstract: A computer-implemented method, computer system, and computer program product for for generation of a chatbot. The method may include receiving data in a first format. The method may include generating one or more clusters from the received data. The method may include labeling the generated one or more clusters. The method may include exporting the one or more labeled clusters into a cluster database. The method may include generating the chatbot using the one or more labeled clusters exported from the cluster database. The method may include executing a validation script into the chatbot to generate a report. The method may include receiving a determination on an accuracy of the chatbot based on the generated report. In response to determining that the chatbot is not accurate, the method may include determining whether a manual adjustment directly on the chatbot is needed.

Abstract: Aspects of the present disclosure relate to light-based 3D printing. A computer aided design (CAD) representation of an object is obtained. Mirror and lighting requirements of a light-based 3D printer containing at least one mirror and at least one light source are determined based on the CAD representation of the object. Mirror and lighting characteristics of the at least one mirror and the at least one light source are adjusted based on the determined mirror and lighting requirements, the adjusting resulting in a first 3D light-based printer configuration. A 3D printing process is then initiated, wherein initiating the 3D printing process includes exposing a photosensitive material within the light-based 3D printer to light based on the first light-based 3D printer configuration.

Abstract: Systems, methods, and computer program products leveraging the use of data collection, analytics and predictive modeling to selectively provide customized career and education counseling based on each individual user's interests, personality, preferences, geographic location, habits and experiences. The collected user data and user-defined parameters define a user profile, providing insight into career or educational options best suited to the user. Further educational and career information may be collected and presented to the user, including enrollment information from one or more colleges and universities, specific educational programs aligned with the user's defined profile, and descriptions of courses and curriculum.