Abstract: Provided herein is a method of preventing hair loss or promoting hair growth, the method including administering an effective amount of a PDE 3 inhibitor. More particularly, when the method of the present disclosure is used, an excellent hair loss prevention or hair growth promotion effect is obtained by inhibiting the activity of PDE 3.

Abstract: Examples disclosed herein relate to detecting camera access breaches by an application running on a computing device. The examples enable determining, by a computing device comprising a physical processor that implements machine readable instructions, that a type of camera access of a camera on a computing device is requested by an application running on the computing device, wherein the type of camera access comprises a photo, a video, a facial recognition, a bar code scanning, or object detection; determining, by the computing device and based on a set of camera access types associated with the application, whether the requested type of camera access is permitted; and responsive to determining that the requested type of camera access is not permitted, remediating the unpermitted camera access request by causing display, by the computing device, of an alert on the computing device, where the alert comprises information about an improper access of the camera by the application.

Abstract: Examples provided herein describe a method for determining car positions. For example, a physical processor of an edge computing device may receive position data for a legacy car and information about a make and model of the legacy car. The first edge device may also receive, from a sensor-rich car, a set of sensor data about a set of observed cars in the vicinity of the sensor-rich car, a set of position data for the set of observed cars, and a set of visual data of the set of observed cars, wherein the set of observed cars includes the legacy car and the sensor-rich car. The edge device may then determine an updated position for the legacy car based on the set of position data for the set of observed cars, the set of visual data, and the set of sensor data and provide the updated position of the legacy car.

Abstract: Example implementations relate to advertisements of a privacy protected device. For example, advertisements of the privacy protected device are jammed. Additionally dummy device advertisements are broadcasted. The dummy device advertisements include a reduced-information advertisement for the privacy protected device.

Abstract: The present specification is intended to develop a new substance which exhibits a skin whitening effect and to apply the new substance to a composition for skin whitening, provides a new composition for skin whitening and a new kit for skin whitening which contain TNFSF14 protein and a polynucleotide encoding the TNFSF14 protein and a method of using the same, and thus can contribute to the market expansion and industry development related to the skin whitening field.

Abstract: In one example, a system for device throughput determination includes a monitor engine to monitor an average packet size at a node of a cellular network designated for a device and a channel quality between the device and the node of the cellular network, a classification engine to classify the device based on the monitored average packet size at the node designated for the device and the channel quality, a prediction engine to predict a throughput for the device over a quantity of future transmission time intervals (TTI) based on the classification of the device and a number of resources requested by the device over a period of time.

Abstract: Examples include deterrence of user equipment (UE) device location tracking. Some examples include a core network device of a telecommunication network having a processing resource and a machine-readable storage medium with instructions executable by the processing resource to receive a first service request message from the UE device that includes a pseudo-Globally Unique Temporary Identifier (p-GUTI), to send a paging message that includes the p-GUTI, and to receive a second service request message from the UE device that includes a new p-GUTI based on the p-GUTI of the first service request message matching the p-GUTI of the paging message.

Abstract: An electronic device has a plurality of environments including respective communication stacks. The environments correspond to respective different user personas. Data associated with the different user personas are communicated in corresponding separate transport flows over the network.

Abstract: Examples disclosed herein involve determining a location of a Bluetooth device relative to a detecting device based on measured received signal strength indication (RSSI). In examples herein, a regression analysis of RSSIs of a Bluetooth signal and locations of a detecting device are used to determine the location of the target Bluetooth device.

Abstract: Examples provided herein describe a method for real-time processing of IoT data. For example, a first physical processor of an edge computing device may receive a set of data from a first IoT device communicably coupled to the edge device. The first physical processor may split the set of data into a set of individual data packets. A second physical processor of the edge device process the set of individual data packets by: concurrently applying, by a plurality of instances of the second physical processor of the edge computing device, a learning model to each of a corresponding plurality of data packets from the set of individual data packets; and annotating, by a subset of the plurality of instances of the second physical processor, a corresponding subset of the plurality of data packets with a corresponding output from the concurrent application of the learning model.

Abstract: A system, method, and non-transitory computer readable medium for virtualizing battery in a personal mobile device or across a group of personal mobile devices controlled by a user are provided. The user specifies a set of power management policies for applications running in the personal mobile device(s). Battery usage per application is monitored and resources for the applications are scheduled based on the monitored battery usage and the power management policies.

Abstract: Examples include deterrence of user equipment (UE) device location tracking. Some examples include a core network device of a telecommunication network having a processing resource and a machine-readable storage medium with instructions executable by the processing resource to receive a first service request message from the UE device that includes a pseudo-Globally Unique Temporary Identifier (p-GUTI), to send a paging message that includes the p-GUTI, and to receive a second service request message from the UE device that includes a new p-GUTI based on the p-GUTI of the first service request message matching the p-GUTI of the paging message.

Abstract: Provided are a pickering emulsion including: 0.01-20 wt % of particles having an average particle diameter of 10 nm-100 ?m, and 0.01-20 wt % of a non-ionic water-soluble polymer, wherein the particles are positioned on an oil droplet surface, and a method of preparing the same.

Abstract: A signal transmitted from a mobile device is received at an antenna array of a device. Motion information of the mobile device is received from a sensor of the mobile device. A change in the AoA of the signal is computed when the mobile device moves from a first position to a second position. The location of the mobile device relative to the antenna array is determined based on the change in AoA of the signal and the motion information of the mobile device.

Abstract: Systems and methods of scheduling data in background services on mobile devices are disclosed. An example method includes identifying data consumption patterns on a mobile device. The method also includes determining sensitivity of data arriving at the mobile device based on the data consumption patterns. The method also includes aggregating network access by background services on the mobile device according to a schedule based on the sensitivity of the data arriving at the mobile device.

Abstract: A signal transmitted from a mobile device is received at an antenna array of a device. Motion information of the mobile device is received from a sensor of the mobile device. A change in the AoA of the signal is computed when the mobile device moves from a first position to a second position. The location of the mobile device relative to the antenna array is determined based on the change in AoA of the signal and the motion information of the mobile device.

Abstract: An example device in accordance with an aspect of the present disclosure includes a launch engine and an offload engine. The launch engine is to request a resource predictor based on analysis of collected resource usage information. The offload engine is to compare resource availability at the device to predicted resource usage indicated in the resource predictor, and offload at least a portion of resource usage.

Abstract: Described herein are techniques for beamforming a wireless signal to a harvesting device. In an example, a method to increase available energy to a harvesting device is performed by a WiFi transmitting device. The WiFi transmitting device determines a preferred wireless path to the harvesting device using input from a proxy device. The WiFi transmitting device then beamforms a WiFi signal to the harvesting device along the preferred wireless path.

Abstract: Examples relate to determining finger movements. In one example, a computing device may: receive input from at least one of: a first proximity sensor coupled to the frame at a first position and facing a first direction; or a second proximity sensor coupled to the frame at a second position and facing a second direction; determine, based on the input, that a finger action occurred, the finger action being one of: a first movement of a first finger, the first movement being detected by the first proximity sensor; a second movement of a second finger, the second movement being detected by the second proximity sensor; generate, based on the finger action, output that includes data defining an event that corresponds to the finger action; and provide the output to another computing device.

Abstract: A method of tracking an inventory of objects via a mobile communications device includes acquiring an image of one or more of the objects via the mobile communications device, which also collects a location of the mobile communications device while acquiring the image of the one or more of the objects. The location and image are transferred from the mobile communications device to a remote server via a wireless network, such that the one or more of the objects are identified at the server based on the image, and the location and identity of the one or more objects are stored on a database associated with the server.