Abstract: A refrigerator has a door lock. The refrigerator further includes a main body having a storage compartment, a first door, and a second door. The first door is disposed in front of the main body to open or close the storage compartment, and the first door has an opening. The second door is configured to open or close the opening from a front of the first door. The refrigerator includes the door lock configured to lock the two doors. The door lock includes a hook member mounted to one of the first and second doors, and a locking unit mounted to the other one of the first and second doors to restrain or release the hook member. The refrigerator has an anti-unlocking device, the anti-unlocking device is triggered when the first door hits the main body due to being closed, to prevent the locking unit from releasing the hook member.

Abstract: The present disclosure provides for growing algae with an exogenous organic carbon source as the primary carbon source, in light, dark or limited light conditions. Also provided are expression cassettes for expression of a recombinant protein in an algae species grown in dark or limited light conditions.

Abstract: Provided herein are recombinant microalgae containing one or more polynucleotides encoding iron-complexed proteins, methods of producing the iron-complexed proteins with the microalgae, and edible products formed therefrom.

Abstract: A power supply system includes at least one inverter, at least one cell string, and a transformer, where an input end of the at least one inverter is connected to an output end of the at least one cell string, an output end of the at least one inverter is connected to an input end of the transformer, and an output end of the transformer is configured to output a power supply voltage. The output end of the at least one inverter is connected to an output end of an inverter unit.

Abstract: An activity monitoring circuit enables power conservation for an activity monitoring system. The activity monitoring system includes a sensor device that generates activity data based on detected movement. An activity monitoring circuit receives the activity data as input from the sensor device, and processes the activity data. Based on the processing, the activity monitoring circuit signals the sensor device to change a duty cycle of its operation, by adjusting how long it is on and off. The activity monitoring circuit can include a sensor hub that determines an activity state indicated by the activity data and generates a prediction of stability of the determined activity state based on historical activity data. Based on activity state and stability, the sensor hub can determine a duty cycle for operation of the sensor device.

Abstract: Novel solutions are provided for consistent Quality of Service in cloud gaming system that adaptively and dynamically compensate for poor network conditions by moderating rendered frame rates using frame rate capping to optimize for network latency savings (or surplus). In further embodiments, the encoding/sent frame rate to the client can also be managed in addition, or as an alternative to capping the rendered frame rates. The claimed embodiments not only maintain a constant Quality of Service (QoS) for the user, but may also be employed to leverage higher-performing networks to reduce operational costs.

Abstract: An example method for facilitating hierarchical clustering in a geographically dispersed network environment is provided and includes receiving a packet at one of a plurality of adaptive security appliance (ASA) units in one of a plurality of ASA clusters in a cluster domain of a network environment, identifying the packet as matching an inter-data center live traffic profile, identifying a target ASA cluster in the plurality of ASA clusters in the cluster domain, querying a domain director in the target ASA cluster for a flow owner, and if the flow owner is identified by the domain director, forwarding the packet to the flow owner in the target cluster, and if the flow owner is not identified by the domain director, and the domain director includes a flow state for a flow to which the packet belongs, designating the ASA unit as the flow owner.

Abstract: The present disclosure relates to a flexible temperature sensor, a method for preparing the same, and a flexible device. The flexible temperature sensor includes: a flexible substrate; an electrode arranged on the flexible substrate; a mixed fluid arranged on the flexible substrate and in contact with the electrode, in which the mixed fluid includes an ionic liquid and porous conductive particles; and a protective plate arranged on a surface of the flexible substrate having the mixed fluid to protect the mixed fluid.

Abstract: Outputting an entry point to a target service is disclosed, including: determining that a set of sensed data that is obtained from a first device meets a condition associated with a detectable event, wherein the set of sensed data is determined by one or more sensors associated with the first device; in response to the determination, determining a target service corresponding to the detectable event; determining a selected device among the first device and at least one second device, wherein the at least one second device is related to the first device; and outputting an entry point corresponding to the target service to the selected device, wherein the entry point is usable to access the target service.

Abstract: Sound effects are generated from a speaker inside a vehicle compartment repeatedly between a lower limit frequency and an upper limit frequency in accordance with an increase in the vehicle velocity. Consequently, the frequency is increased with respect to an increase in the vehicle velocity, in a manner so that audible sound effects, that is, sound effects at a so-called infinite scale, are generated.

Abstract: Novel solutions are provided for consistent Quality of Service in cloud gaming system that adaptively and dynamically compensate for poor network conditions by moderating rendered frame rates using frame rate capping to optimize for network latency savings (or surplus). In further embodiments, the encoding/sent frame rate to the client can also be managed in addition, or as an alternative to capping the rendered frame rates. The claimed embodiments not only maintain a constant Quality of Service (QoS) for the user, but may also be employed to leverage higher-performing networks to reduce operational costs.

Abstract: Provided herein are methods for the treatment of GI tract diseases and conditions and/or symptoms associated with such diseases and conditions in a mammal. Also provided are preparations and compositions for use in the methods. Also provided are methods of growing and preparing Chlamydomonas biomass for administration to a mammal in need of treatment of GI tract diseases and conditions and/or symptoms associated with such diseases and conditions.

Abstract: A power supply system includes at least one inverter, at least one cell string, and a transformer, where an input end of the at least one inverter is connected to an output end of the at least one cell string, an output end of the at least one inverter is connected to an input end of the transformer, and an output end of the transformer is configured to output a power supply voltage. The output end of the at least one inverter is connected to an output end of an inverter unit.

Abstract: Novel solutions are provided for consistent Quality of Service in cloud gaming system that adaptively and dynamically compensate for poor network conditions by moderating rendered frame rates using frame rate capping to optimize for network latency savings (or surplus). In further embodiments, the encoding/sent frame rate to the client can also be managed in addition, or as an alternative to capping the rendered frame rates. The claimed embodiments not only maintain a constant Quality of Service (QoS) for the user, but may also be employed to leverage higher-performing networks to reduce operational costs.

Abstract: Outputting an entry point to a target service is disclosed, including: determining that a set of sensed data that is obtained from a first device meets a condition associated with a detectable event, wherein the set of sensed data is determined by one or more sensors associated with the first device; in response to the determination, determining a target service corresponding to the detectable event; determining a selected device among the first device and at least one second device, wherein the at least one second device is related to the first device; and outputting an entry point corresponding to the target service to the selected device, wherein the entry point is usable to access the target service.

Abstract: The subject disclosure is directed towards a technology for efficiently emulating program code that is protected by one or more various code virtualization techniques to detect the presence of malware. An emulation engine emulates a program containing a mix of native code, custom (e.g., virtualized obfuscated) code, and at least one emulator and/or interpreter that understands the custom code, by building a custom emulation component that is built by detecting and analyzing the internal emulator or interpreter. The custom emulation component may access a translation table built from the analysis, and also may simplify a plurality of instructions in the program into a lesser number of instructions in an intermediate language used for emulation.

Abstract: Technologies for detecting micro-motion based input gestures include a wrist-wearable computing device that includes sensors from which values for micro-motion states can be determined. Each micro-motion state is indicative of a motion-related characteristic of the wrist-wearable computing device that is used to determine whether a sequence of detected gesture steps matches an input gesture model associated with an input gesture. The input gesture model defines a required sequence of required gesture steps from which an input gesture may be determined.

Abstract: Technologies for determining a user's location include a mobile computing device to determine, based on sensed inertial characteristics of the device, a walking gait of a user. The walking gait is one of a first gait indicative of the user holding the g device to the user's side or a second gait indicative of the user swinging the device along the user's side. The device further detects that the user has taken a physical step based on the inertial characteristics and the determined walking gait of the user, and determines a raw directional heading of the device indicative of a direction of the physical step. The device determines an estimated location of the user based on the determined raw directional heading, an estimated step length, and the user's previous location.

Abstract: A method for generating spatial-temporal consistency depth map sequences based on convolutional neural networks for 2D-3D conversion of television works includes steps of: 1) collecting a training set, wherein each training sample thereof includes a sequence of continuous RGB images, and a corresponding depth map sequence; 2) processing each image sequence in the training set with spatial-temporal consistency superpixel segmentation, and establishing a spatial similarity matrix and a temporal similarity matrix; 3) establishing the convolution neural network including a single superpixel depth regression network and a spatial-temporal consistency condition random field loss layer; 4) training the convolution neural network; and 5) recovering a depth maps of a RGB image sequence of unknown depth through forward propagation with the trained convolution neural network; which avoids that clue-based depth recovery method is greatly depended on scenario assumptions, and inter-frame discontinuity between depth maps g

Abstract: A stereoscopic video generation method based on 3D convolution neural network is disclosed, which is able to convert existing 2D video sources into stereoscopic videos. The method includes preparing the training data, dividing the training video sources into left eye view sequences and right eye view sequences; and then processing the left eye image sequences through shot segmentation via fuzzy C-means clustering method, calculating a mean image of all left eye images, subtracting the mean image from the left eye images, taking the right eye images as a training target; training the obtained 3D convolution neural network through the training data; processing the 2D video sources which need to be converted into stereoscopic videos in the same way as training set, inputting to the trained 3D convolution neural network to obtain the right eye view image sequences of the 2D videos; and finally combining the two to be stereoscopic videos.