Abstract: A mouse and a gaming system are respectively provided. The gaming system includes a mouse and an intermediate application program. The mouse includes an operation module, a solid-state disk (SSD), and a processing module. The processing module is connected to an electronic device. When the electronic device runs a game, the processing module records an operation signal generated by an operation of a user in the SSD. The processing module can store settings made by the user to the game and to the mouse in the SSD. When the game is ended in the electronic device, the processing module stores a game result information in the SSD. When the electronic device runs the same game and the same mouse is used to play the same game, the user can read the settings in the SSD to quickly perform the same settings on the game and the mouse.

Abstract: A liquid radiation curable composition comprising component a) 20 to 60 weight percent of one or more reactive oligomer(s) containing at least two urethane and/or urea linkages in the backbone and at least two ethylenic unsaturated group(s) which can form polymeric crosslink networks with the other components in the composition in the presence of radicals, anions, nucleophiles or combinations thereof, with a weight average molecular weight (Mw) of greater than 3000 g/mol and glass transition temperature Tg of the cured reactive oligomer(s) itself is greater than 25° C.

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data, wherein the sensor data is captured by a plurality of sensors within an educational environment. The processor is to: access the sensor data captured by the plurality of sensors: identify a student within the educational environment based on the sensor data: detect a plurality of events associated with the student based on the sensor data, wherein each event is indicative of an attention level of the student within the educational environment: generate a report based on the plurality of events associated with the student; and send the report to a third party associated with the student.

Abstract: In one embodiment, an apparatus comprises a communication interface to communicate over a network, and a processor. The processor is to: receive a workload provisioning request from a user, wherein the workload provisioning request comprises information associated with a workload, a network topology, and a plurality of potential hardware choices for deploying the workload over the network topology; receive hardware performance information for the plurality of potential hardware choices from one or more hardware providers; generate a task dependency graph associated with the workload; generate a device connectivity graph associated with the network topology; select, based on the task dependency graph and the device connectivity graph, one or more hardware choices from the plurality of potential hardware choices; and provision a plurality of resources for deploying the workload over the network topology, wherein the plurality of resources are provisioned based on the one or more hardware choices.

Abstract: In one embodiment, an apparatus comprises a processor to: identify a workload comprising a plurality of tasks; generate a workload graph based on the workload, wherein the workload graph comprises information associated with the plurality of tasks; identify a device connectivity graph, wherein the device connectivity graph comprises device connectivity information associated with a plurality of processing devices; identify a privacy policy associated with the workload; identify privacy level information associated with the plurality of processing devices; identify a privacy constraint based on the privacy policy and the privacy level information; and determine a workload schedule, wherein the workload schedule comprises a mapping of the workload onto the plurality of processing devices, and wherein the workload schedule is determined based on the privacy constraint, the workload graph, and the device connectivity graph.

Abstract: The embodiments of the disclosure provide a method for evaluating a health condition indicator of a subject, a host, and a computer readable storage medium. The method includes: obtaining a reference heart rate of the subject and determining a heart rate indicator of the subject according to the reference heart rate; determining a fitness indicator of the subject based on physiological information of the subject; determining an age indicator of the subject based on an age of the subject; and determining the health condition indicator of the subject at least based on the heart rate indicator, the fitness indicator, and the age indicator.

Abstract: Various embodiments are disclosed for providing machine learning routines with peripheral device data to infer driver activity and location. Peripheral device data may be collected on a peripheral device having a machine learning routine executing thereon to infer driver activity and perform improved estimation of driver location. Using driver activity and location estimation, contextually relevant delivery workflow assistance may be automatically provided to a delivery driver or other individual without requiring manual input, thereby improving driver safety and operational efficiency.

Abstract: A composite material structure includes a first metal member and a second metal member bonding to the first metal member. A bonding surface is formed therebetween. A first hole is through the first metal member. A circular bonding line is formed at a junction of a wall of the first hole and the bonding surface. A sleeve protrudes from the second metal member into the first hole, and covers the bonding line. A groove indents from the first metal member. The groove has a bottom surface located in the same plane with a top surface of the sleeve. A processing method of the composite material structure is also provided. The sleeve covers the bonding line between the first metal member and the second metal member, which allows the composite material structure to provide an improved sealing performance.

Abstract: A fan control system is provided, which is used for dissipating heat from a computer device. The fan control system includes a control interface and multiple fan modules. Each one of the fan modules includes a controller, a fan, and a sensor. The controller correspondingly controls a rotational speed of the fan according to environment data transmitted by the connected sensor. The controller transmits real-time fan information to the control interface, and the real-time fan information includes the environment data, identification data, wind direction data, and rotational speed data. The control interface receives the real-time fan information transmitted by the fan modules, and the control interface controls at least one of the fans to change a current rotational speed according to operation information and the real-time fan information transmitted by the fan modules. The fan control system allows the computer device to achieve a good heat-dissipation effect.

Abstract: A mechanism is described for facilitating portable, reusable, and shareable Internet of Things-based services and resources according to one embodiment. A method of embodiments, described herein, includes selecting a recipe, wherein the recipe includes instructions associated with a first trigger to activate a first set of resources, the first set of resources and instructions correspond to a first category, accessing a second set of resources associated with a second trigger to activate the second set of resources, the second set of resources and instructions correspond to a second category of user preferences, the second category different from the first category, modify the recipe to replace a first resource block of the first set of resources with a second resource block of the second set of resources, and deploy the recipe at a computing device, the computing device receiving at least one of the first trigger or the second trigger.

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data captured by one or more sensors associated with a first device. Further, the processor comprises circuitry to: access the sensor data captured by the one or more sensors associated with the first device; determine that an incident occurred within a vicinity of the first device; identify a first collection of sensor data associated with the incident, wherein the first collection of sensor data is identified from the sensor data captured by the one or more sensors; preserve, on the memory, the first collection of sensor data associated with the incident; and notify one or more second devices of the incident, wherein the one or more second devices are located within the vicinity of the first device.

Abstract: The invention relates to methods of increasing sensitivity of an epidermal growth factor receptor (EGFR)-related cancer to EGFR tyrosine kinase inhibitor (TKI) comprising administering a therapeutically effective amount of EGFR isoform D to a subject in need thereof. The invention also relates to methods of treating a subject suffering from an EGFR-related cancer comprising administering to the subject an effective amount of EGFR isoform D and a TKI. In one embodiment, the EGFR-related cancer is head and neck squamous cell carcinoma (HNSCC).

Abstract: A system can be configured to receive and analyze an image captured by a user device at a delivery location. The system can utilize local algorithms tailored to the delivery location to confirm that the delivery location is the intended delivery location for a package. The system can utilize global algorithms to generate three-dimensional models of the delivery environment and an augmented reality interface providing delivery instructions to the deliverer. The delivery instructions include indications of approved delivery locations and rejected delivery locations associated with the general delivery location of the customer. The delivery instructions and the user device can be utilized to ensure package placement for secure delivery to a customer.

Abstract: A mouse and a gaming system are respectively provided. The gaming system includes a mouse and an intermediate application program. The mouse includes an operation module, a solid-state disk (SSD), and a processing module. The processing module is connected to an electronic device. When the electronic device runs a game, the processing module records an operation signal generated by an operation of a user in the SSD. The processing module can store settings made by the user to the game and to the mouse in the SSD. When the game is ended in the electronic device, the processing module stores a game result information in the SSD. When the electronic device runs the same game and the same mouse is used to play the same game, the user can read the settings in the SSD to quickly perform the same settings on the game and the mouse.

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store visual data associated with a visual representation captured by one or more sensors. The processor is to: obtain the visual data associated with the visual representation captured by the one or more sensors, wherein the visual data comprises uncompressed visual data or compressed visual data; process the visual data using a convolutional neural network (CNN), wherein the CNN comprises a plurality of layers, wherein the plurality of layers comprises a plurality of filters, and wherein the plurality of filters comprises one or more pixel-domain filters to perform processing associated with uncompressed data and one or more compressed-domain filters to perform processing associated with compressed data; and classify the visual data based on an output of the CNN.

Abstract: A mechanism is described for facilitating portable, reusable, and shareable Internet of Things-based services and resources according to one embodiment. A method of embodiments, as described herein, includes wherein receiving a recipe request for selecting a recipe relating to Internet of Things (IoT) services, where selecting includes at least one of searching the recipe and modifying the recipe. The method may further include selecting the recipe, where the recipe includes a set of resource requirements and business logic. The method may further include modifying the set of resource requirements, where the modified set of resource requirements is associated with the business logic to modify the recipe, and deploying the modified recipe at one or more computing devices, where the modified recipe to facilitate management for one or more IoT devices at one or more locations.

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store visual data associated with a visual representation captured by one or more sensors. The processor is to: obtain the visual data associated with the visual representation captured by the one or more sensors, wherein the visual data comprises uncompressed visual data or compressed visual data; process the visual data using a convolutional neural network (CNN), wherein the CNN comprises a plurality of layers, wherein the plurality of layers comprises a plurality of filters, and wherein the plurality of filters comprises one or more pixel-domain filters to perform processing associated with uncompressed data and one or more compressed-domain filters to perform processing associated with compressed data; and classify the visual data based on an output of the CNN.

Abstract: Data is received describing a local model of a first device generated by the first device based on sensor readings at the first device and a global model is updated that is hosted remote from the first device based on the local model and modeling devices in a plurality of different asset taxonomies. A particular operating state affecting one or more of a set of devices deployed in a particular machine-to-machine network is detected and the particular machine-to-machine network is automatically reconfigured based on the global model.

Abstract: Disclosed are various embodiments for generating location confirmation models using crowdsourced wireless fingerprints. Wireless fingerprints can be generated and associated with a given location during events that use proximity to specific locations. The wireless fingerprints can be processed to generate location confirmation models that can be used for location confirmation. Periodically, the collected wireless fingerprints can be analyzed and compared to previously collected wireless fingerprints to detect a change in a wireless infrastructure at the given location. Upon determining that a previously generated location confirmation model is invalid according to a level of significance of the change, the outdated wireless fingerprints can be identified and removed from storage or otherwise ignored for future models. An updated location confirmation model can be generated using the up-to-date wireless fingerprints.

Abstract: A composite material structure includes a first metal member and a second metal member bonding to the first metal member. A bonding surface is formed therebetween. A first hole is through the first metal member. A circular bonding line is formed at a junction of a wall of the first hole and the bonding surface. A sleeve protrudes from the second metal member into the first hole, and covers the bonding line. A groove indents from the first metal member. The groove has a bottom surface located in the same plane with a top surface of the sleeve. A processing method of the composite material structure is also provided. The sleeve covers the bonding line between the first metal member and the second metal member, which allows the composite material structure to provide an improved sealing performance.