Abstract: The present disclosure provides a bone harvester for harvesting a bone core from a bone. Also provided are tools operable with the bone harvester, including a pushing tool and a bone harvesting guide. The present disclosure also provides a method of processing a bone by using the bone harvester and/or other tools of the present disclosure. Bone cores having distorted cylindrical bodies are also described.

Abstract: With Convolutional Neural Networks (CNN), facial alignment networks (FAN) have achieved significant accuracy on a wide range of public datasets, which comes along with larger model size and expensive computation costs, making it infeasible to adapt them to real-time applications on edge devices. There is provided a model compression approach on FAN using One-Shot Neural Architecture Search to overcome this problem while preserving performance criteria. Methods and devices provide efficient training and searching (on a single GPU), and resultant models can deploy to run real-time in browser-based applications on edge devices including tablets and smartphones. The compressed models provide comparable cutting-edge accuracy, while having a 30 times smaller model size and can run 40.7 ms per frame in a popular browser on a popular smartphone and OS.

Abstract: Computer implemented methods, systems, and computer program products include program code executing on a processor(s) obtain factor(s) relevant to a given resource. The program code determines relationships between the factor(s). Based on parameters comprising the relationships, the program code identifies, from a search space, configuration(s) for resource(s) and configuration(s) for workload(s) in the computing environment. The program code executes, based on a pre-defined policy, a test: a workload configured according to a configuration in a system under test instance configured according to a configuration. The program code obtains performance measurements for the test in the system under test instance. The program code utilizes the performance measurements to update a known data set.

Abstract: The present invention provides a method for preparing an activated carbon, which includes impregnating a carbonaceous material with carbonated water; and exposing the carbonaceous material to microwave radiation to produce the activated carbon.

Abstract: In several aspects for generation of high quality synthetic observability data for computing systems, traces and logs from a system are collected as a seed dataset. Multiple conditional variational autoencoder (VAE) models are trained using the seed dataset for learning association between the traces and the logs. Synthetic traces and logs are generated using the multiple CVAE models while retaining the association between the traces and the logs for the synthetic traces and logs.

Abstract: Self-tuning merged code testing is provided which includes testing merged code using a suite of test cases, where the merged code includes one or more code changes, and obtaining, based on the testing, a test case failure using the suite of test cases. Further, the process includes determining, using an artificial intelligence engine, a likely faulty code change of the one or more code changes resulting in the test case failure, and customizing, based on the likely faulty code change, the suite of test cases to facilitate verifying that the likely faulty code change is a faulty code change. In addition, the process includes continuing testing of the merged code using the customized suite of test cases to facilitate verifying that the likely faulty code change is the faulty code change.

Abstract: A control method for heat dissipation verification device, a heat dissipation verification device and system are provided, the heat dissipation verification device comprising a baseboard management controller (BMC), a temperature detecting module, a switch module, and a heating module; the control method includes generating a driving signal according to a verification instruction by the BMC after receiving the verification instruction; transmitting the driving signal to the switch module by the BMC, driving the heating module to output a target power by the switch module; and obtaining temperature data from the temperature detecting module and obtaining a heat dissipation verification result of the target liquid cooling system according to the temperature data by the BMC.

Abstract: A data storage system with intelligent power management includes a plurality of data storage devices and a controller. Each data storage device is capable of operating in one of (N+1) power saving functions where N is an integer larger than 1. The (N+1) power saving functions sequentially correspond to from the 0th to the Nth power saving levels. The controller reads a user-setting power saving level (I) where I is an integer index ranging from 0 to N. The controller reads a current power saving level (J) of a current power saving function of one of the plurality of data storage devices where J is an integer index ranging from 0 to N. The controller controls said one data storage device to operate in one power saving function among the (N+1) power saving functions according to the user-setting power saving level (I) and the current power saving level (J).

Abstract: A graphdiyne dispersion liquid, a bi-component polyurethane adhesive and a preparation method therefor, wherein the graphdiyne dispersion liquid is prepared from graphdiyne powder and a polyurethane dispersant; component A of the bi-component polyurethane adhesive comprises a polyurethane prepolymer, an additive and a graphdiyne dispersion liquid, and component B of the bi-component polyurethane adhesive comprises polyol, a catalyst, and a graphdiyne dispersion liquid. The bi-component polyurethane adhesive has relatively good anti-ultraviolet weather resistance and bubble suppression performance during a curing process, and has a potential application value in high-end industrial fields.

Abstract: Provided are a polyurethane phase-change nanocapsule, a phase-change polyurethane pouring sealant and a preparation method therefor. The polyurethane phase-change nanocapsule is a nanocapsule formed by coating a phase-change material with an amphiphilic block copolymer. The oleophilic end of the amphiphilic block copolymer is a polyurethane chain segment, and the hydrophilic end is a methoxy polyethylene glycol chain segment. The polyurethane phase-change nanocapsule is added, such that the two-component phase-change polyurethane pouring sealant has a temperature control advantage, and has an excellent enthalpy value and heat-conducting properties while maintaining a low viscosity. In the field of electronic engineering, particularly in the field of electronics needing temperature control, the pouring sealant has an application value.

Abstract: The present disclosure relates to an optimization method of outlier data identification in a traffic emission quota allocation process. This method includes: constructing a traffic emission quota allocation model; calculating a unit output-input value for each input of each vehicle in a reference set D; identifying outlier vehicles by using a combination of isolation forest model-generalized super efficiency model; and removing final outlier vehicles from the reference set D to obtain a reference set D? with the final outlier vehicles being removed.

Abstract: There is described a deep learning supervised regression based model including methods and systems for facial attribute prediction and use thereof. An example of use is an augmented and/or virtual reality interface to provide a modified image responsive to facial attribute predictions determined from the image. Facial effects matching facial attributes are selected to be applied in the interface.

Abstract: There is provided systems, methods and devices for object detection and systems methods and devices for stabilize rendering of effects such as a makeup effect applied to a face image. In an embodiment, a face in a face input image is localized using a face tracker comprising one or more deep neural networks (DNNs) trained to localize facial features; and a training image is produced comprising the face as localized, the training image comprising either an occluded training image where an occluding object is rendered to the face or a non-occluded training image showing the face without the facemask, the training image produced for occluded face DNN training. In an embodiment, rendering of an effect to a current frame of a video stream is responsive to stabilization of a location of detected features in the stream.

Abstract: The present invention relates to a method for reducing localized fat deposits in a subject in need thereof in need thereof by topically treating the subject with rare-earth element doped calcium carbonate particles in combination with low-intensity ultrasound. The rare-earth element doped calcium carbonate particles have good biocompatibility and can increase reactive oxygen species (ROS) production and produce carbon dioxide (CO2) and calcium ions (Ca2+) in the region of administration under the ultrasonic irradiation. The method of the present invention is effective in inducing adipocyte necrosis, inhibiting adipogenesis, and decreasing body weight and useful for body sculpture.

Abstract: There is described a deep learning supervised regression based model including methods and systems for facial attribute prediction and use thereof. An example of use is an augmented and/or virtual reality interface to provide a modified image responsive to facial attribute predictions determined from the image. Facial effects matching facial attributes are selected to be applied in the interface.

Abstract: Systems and methods process images to determine a skin condition severity analysis and to visualize a skin analysis such as using a deep neural network (e.g. a convolutional neural network) where a problem was formulated as a regression task with integer-only labels. Auxiliary classification tasks (for example, comprising gender and ethnicity predictions) are introduced to improve performance. Scoring and other image processing techniques may be used (e.g. in assoc. with the model) to visualize results such as highlighting the analyzed image. It is demonstrated that the visualization of results, which highlight skin condition affected areas, can also provide perspicuous explanations for the model. A plurality (k) of data augmentations may be made to a source image to yield k augmented images for processing. Activation masks (e.g. heatmaps) produced from processing the k augmented images are used to define a final map to visualize the skin analysis.

Abstract: An optical soft skin system for multimodal sensing comprising: a flexible waveguide substrate (10) being able to change its light wave propagation when encountering different deformation patterns; at least one light source (12) located within the waveguide substrate (10) arranged so as to transmit light into the waveguide substrate (10); at least one light receptor (14) located within the waveguide substrate (10) to receive light that has passed through the waveguide substrate (10) and to provide a dataset of the properties of the received light; and a processor (20) for decoding the dataset into at least one of strain and displacement through a computational model to determine a sensing modality of the waveguide substrate (10).

Abstract: A data storage system with intelligent power management includes a plurality of data storage devices and a controller. Each data storage device is capable of operating in one of (N+1) power saving functions where N is an integer larger than 1. The (N+1) power saving functions sequentially correspond to from the 0th to the Nth power saving levels. The controller reads a user-setting power saving level (I) where I is an integer index ranging from 0 to N. The controller reads a current power saving level (J) of a current power saving function of one of the plurality of data storage devices where J is an integer index ranging from 0 to N. The controller controls said one data storage device to operate in one power saving function among the (N+1) power saving functions according to the user-setting power saving level (I) and the current power saving level (J).

Abstract: The present disclosure provides a log information obtaining system and method. The log information obtaining system includes a baseboard management controller (BMC), a storage device, a first interface, a controller and a first selector. The storage device stores log information of the electronic device. The controller obtains a first signal of the BMC and determines the working state of the BMC, the controller outputs a first selection signal when the working state of the BMC is abnormal. The first selector selects the first output terminal to output the log information received from the first input terminal to the external device. Even if the BMC cannot work normally, it can still obtain the log information of the electronic device and debug the electronic device.