Abstract: Various embodiments of the present application are directed to a method for forming a semiconductor-on-insulator (SOI) device with an impurity competing layer to absorb potential contamination metal particles during an annealing process, and the SOI structure thereof. In some embodiments, an impurity competing layer is formed on the dummy substrate. An insulation layer is formed over a support substrate. A front side of the dummy wafer is bonded to the insulation layer. An annealing process is performed and the impurity competing layer absorbs metal from an upper portion of the dummy substrate. Then, a majority portion of the dummy substrate is removed including the impurity competing layer, leaving a device layer of the dummy substrate on the insulation layer.

Abstract: A method establishes a virtual reality environment for simulating operation of the digital twin model and operates the digital twin model in the virtual reality environment. The digital twin model receives operational parameters from the virtual reality environment in order to determine operational effectiveness of the digital twin model in operating within the virtual reality environment. The method further enables a user to visualize the operation of the digital twin model in the virtual reality environment. In certain embodiments, the method provides a second digital twin model of a second physical object and operates the second digital twin model in the virtual reality environment along with the first digital twin model. This may enable assessment of the interaction between the two digital twin models and/or how operation of one digital twin model may affect operation of the other digital twin model. A corresponding system and computer program product are also disclosed.

Abstract: In an approach to improve improving impact prevention in both manual and autonomous vehicles embodiments of the present invention generate a knowledge corpus based on data collected, from one or more internet of thing (IoT) sensors, associated with one or more predetermined risk factors of one or more predefined risks over time. Further, embodiments receive from the one or more IoT sensors input data to observe a vertical space above a vehicle and identify an object in a predetermined area based on the received input data and the knowledge corpus. Additionally, utilize the knowledge corpus and the input data to generate a risk score for the identified object and responsive to the risk score being above a predetermined threshold, embodiments issue a command for the vehicle to continue to drive or to progress to a predetermined safe zone.

Abstract: Embodiments of the invention are directed to a computer-implemented method. A non-limiting example of the computer-implemented method includes accessing, using a processor system, a segmented three-dimensional (3D) model of a 3D physical object, the segmented 3D model including a plurality of 3D model segments. Instructions of a first 3D model segment of the plurality of 3D model segments control a first printhead of a multiple-printhead (MPH) 3D printer to print a first segment of the 3D physical object on a first print base of the MPH 3D printer. Instructions of a second 3D model segment of the plurality of 3D model segments control a second printhead of the MPH 3D printer to print a second segment of the 3D physical object on a second print base of the MPH 3D printer.

Abstract: Aspects of the present disclosure relate to virtual reality (VR) based commerce experience enhancement. A set of user data associated with a user can be received. A session of a VR commerce environment can be initiated with the user. A set of products to include in the VR commerce environment can be selected based on the set of user data. A position and orientation of each of the products of the set of products within the VR commerce environment can be determined based on the set of user data. The set of products can be displayed within the VR commerce environment according to the determined position and orientation of each product of the set of products.

Abstract: A system for layer-by-layer three-dimensional (3D) printing of a 3D printed object. The system includes a printing component configured to print a plurality of layers to form the 3D printed object, a surface modification component configured to be co-operable with the printing component and configured to apply an appropriate degree of surface roughness to at least one of the plurality of layers after being printed, and a controller configured to identify parameters of each of the at least one of the plurality of layers and configured to control operation of the printing component and the surface modification component, wherein the parameters include the appropriate degree of surface roughness.

Abstract: A cell activation reactor and a cell activation method are provided. The cell activation reactor includes a body, a rotating part, an upper cover, a microporous film, and multiple baffles. The body has an accommodating space, which is suitable for accommodating multiple cells and multiple magnetic beads. The rotating part is disposed in the accommodating space and includes multiple impellers. The microporous film is disposed in the accommodating space and covers multiple holes of the accommodating space. The baffles are disposed in the body. When the rotating part is driven to rotate, the interaction between the baffles and the impellers separates the cells and the magnetic beads.

Abstract: A resource allocation method comprises using resources with a used resource quantity of a machine learning system to execute a first experiment which has a first minimum resource demand, receiving an experiment request associated with a target dataset, deciding a second experiment according to the target dataset, deciding a second minimum resource demand of the second experiment, allocating resources with a quantity equal to the second minimum resource demand for an execution of the second experiment when a total resource quantity of the machine learning system meets a sum of the first minimum resource demand and the second minimum resource demand and a difference between the total resource quantity and the used resource quantity meets the second minimum resource demand, determining that the machine learning system has an idle resource, and selectively allocating said the idle resource for at least one of the first experiment and the second experiment.

Abstract: Facilitating transfer of data from a first machine and/or computing system to at least a second machine and/or computing system in instances where traditional data transfer methods (such as using a communications network) are not immediately feasible is achieved by identifying a triggering event for physical transport of data, collecting the data to be transported, and transferring the data. Secure transfer of the collected data is achieved via encryption of the collected data.

Abstract: At least one computer processor can replace visual words of an unsupervised machine learning classification model with visual objects of an image. At least two co-occurring single visual objects adjacent to each other in pixels of the image can be combined to obtain a compound visual object. The unsupervised machine learning classification model can be augmented to model the image as a mixture of subjects, where each subject is represented through placements of the visual objects in a mixture of concentric spheres centering on a mixture of intersections on a mixture of horizontal layers. At least one processor can learn latent relationships between the placements of the visual objects in a three-dimensional space depicted in the image and image semantics. Learning the latent relationships trains the unsupervised machine learning classification model to perform image subject classification through the placements of the visual objects in a new image.

Abstract: Systems, methods, and computer programming products for dynamically managing the uninstallation and/or re-installation of software applications stored or accessed by a computing system, including mobile devices. Management of the applications by the system can be periodically managed automatically or based on recommendations. Management of applications being uninstalled or reinstalled may be determined based on a rate a user accesses the application and/or data published or accessible by an application storefront, such as user reviews, storefront rankings, user feedback and uninstallation rates of the applications by other users. Applications experiencing a decreased level of average user satisfaction below a predetermined threshold can be proposed for deletion or automatically deleted. Replacement of underperforming or unsatisfactory applications with alternative applications having similar functionality but a higher rate of user satisfaction can be recommended or installed.

Abstract: The program intelligently assigns a virtual office layout (VOL) to one or more actual users' real on-site office layout (ROL) based on human resource mapping. The method maps the one or more actual users' ROL to a correlated VOL, according to human resource data and a real building floor map. The method creates an augmented virtual office layout (AVOL) based on the mapping. The method customizes the AVOL according to the one or more actual users' preferences and real office location and tracks the one or more users' activities on the AVOL. The method renders the one or more users' real or preferred office location and the one or more users' virtual position on the AVOL.

Abstract: The present invention may have a computer that monitors conversation between a user and a first virtual assistant from a plurality of virtual assistants, for a confidence score value being below a confidence threshold value, where the confidence score value is associated with each answer of the first virtual assistant. When the computer determines the confidence score value is below the confidence threshold value, the computer generates a dialog flow for answering by a second virtual assistant, where the dialog flow is related to an answer associated with the confidence score value being below the confidence threshold value. Then, based on determining the second virtual assistant having a second confidence score value that is higher than the confidence score value, the computer transfers a knowledge base data of a topic associated with the dialog flow from the first virtual assistant to the second virtual assistant.

Abstract: Provided are polymer compositions made by a process comprising: (a) providing a first reactive composition containing: (i) a polymerization initiator that is capable, upon a first activation, of forming two or more free radical groups, at least one of which is further activatable by subsequent activation; (ii) one or more ethylenically unsaturated compounds; and (iii) a crosslinker; (b) subjecting the first reactive composition to a first activation step such that the first reactive composition polymerizes therein to form a crosslinked substrate network containing a covalently bound activatable free radical initiator, (c) combining the crosslinked substrate network with a second reactive composition containing one or more ethylenically unsaturated compounds; and (d) activating the covalently bound activatable free radical initiator of the crosslinked substrate network such that the second reactive composition polymerizes therein with the crosslinked substrate network to form a grafted polymeric network and a

Abstract: An automated light testing apparatus including: a test platform including one or more recesses configured to secure a light product, each recess configured to fit a main light of the light product; a light sensor built in each of the one or more recesses, each light sensor configured to detect light from the respective main light held by the recess; a horizontal beam parallel to a surface of the test plat form; a test arm movably attached to the horizontal beam, the test arm controlled by one or more motors and configured to be moved into a plurality of positions when testing the light product; and a controller configured to set one or more parameters of the testing apparatus and transmit control signals to the light sensor and test arm.

Abstract: A computer-implemented method displays a media file below a distraction threshold. The method includes identifying a driver of a vehicle, where the vehicle includes an augmented reality system, and the vehicle is at least partially automated. The method also includes determining, a driving mode for the vehicle and calculating a focus score. The method includes requesting, from a media repository, a media file, where the media repository contains a plurality of media files, and each media file has an associated distractions score. The method includes receiving from the media repository, a first media file to display, where a first distraction score of the first media file combined with the focus score is below a safety threshold. The method also includes displaying the first media file by the AR system. Further aspects of the present disclosure are directed to computer program products containing functionality consistent with the method described above.

Abstract: Disclosed are techniques for dynamic compression of audio-visual data, including a digital encoding method, digital compression method, and a system. One embodiment of the digital encoding method may comprise identifying a scene projected onto a sensor, wherein the scene comprises a plurality of objects. Some embodiments may further comprise analyzing the plurality of objects to determine which of the plurality objects can be redeveloped by a GAN regeneration module to a threshold quality level and which of the plurality of objects cannot be redeveloped with the GAN regeneration module to the threshold quality level. Some embodiments may further comprise generating an optimized capture plan based on the analyzing. Some embodiments may further comprise encoding the scene pursuant to the optimized capture plan to produce a digital media file.

Abstract: Provided are ophthalmic devices comprised of a reaction product of a composition comprising: (i) a crosslinked substrate network containing covalently bound activatable free radical initiators; and (ii) a grafting composition containing one or more ethylenically unsaturated compounds. Also provided are processes for making ophthalmic devices.

Abstract: Techniques for machine learning analysis are provided. A machine learning (ML) model is trained to identify appropriate documents based on lexical knowledge of target groups. A lexical knowledge of a set of users is determined. Additionally, a first document of a plurality of documents is selected by processing the determined level of lexical knowledge using the ML model. The first document is presented to the set of users. A level of engagement of the set of users is then determined. Upon determining that the level of engagement is below a predefined threshold, a second document of the plurality of documents is selected using the ML model.

Abstract: A method, computer system, and a computer program product for activity-based mapping and navigation is provided. The present invention may include receiving a number of reports indicating a tethered device charging event in proximity of a particular location in a venue. The present invention may further include, in response to the received number of reports satisfying a threshold number of reports, determining that the particular location includes at least one power source.