Abstract: The present disclosure provides a matte-type electromagnetic interference shielding film including bio-based components, which includes a bio-based insulating layer, a bio-based adhesive layer, a metal layer, and a bio-based electrically conductive adhesive layer. The matte-type electromagnetic interference shielding film including the bio-based component of the present disclosure has a matte appearance and high bio-based content and has the advantages of good surface insulation, high surface hardness, good chemical resistance, high shielding performance, good adhesion strength, low transmission loss, high transmission quality, good operability, high heat resistance, and the inner electrically conductive adhesive layer with long shelf life and storage life. The present disclosure further provides a preparation method thereof.

Abstract: A device for detecting a slot wedge, an air gap and a broken rotor bar is provided, where a sequential circuit generates double concurrent pulses; the sequential circuit is connected to driving power modules; the driving power modules are connected to front-end interface circuits; the front-end interface circuits convert the double concurrent pulses into corresponding magnetic-field pulses; the magnetic-field pulses are transmitted to power supply terminals on adjacent phases of stator windings through impedance matching pins and coupled at a corresponding coil, air gap and squirrel cage rotor to generate single groups of cyclic rotating magnetic potentials; single rotating magnetic potentials are sequentially generated in adjacent slots on each of the phases of the stator windings; rotating electric potentials in magnetic circuits with two symmetrical phases are magnetically coupled to form distributed coupling magnetic field reflected full-cycle waves for reflecting a difference of a corresponding slot wedg

Abstract: The invention discloses a system and a method for detecting a full-length fluctuation state of a scraper conveyor in a fully-mechanized coal mining working face. The detection system consists of a proximity switch trigger module of the hydraulic support base, a displacement detection module of the digital oil cylinder for position and attitude regulation of the single-section scraper conveyor, a calculation module for the fluctuation angle of the middle groove of the single-section scraper conveyor and a full-length fluctuation state output module of the scraper conveyor.

Abstract: The disclosure discloses an integrated automatic sea cucumber cooking and soaking system, which belongs to the technical field of sea cucumber processing.

Abstract: The disclosure discloses an integrated automatic sea cucumber cooking and soaking system, which belongs to the technical field of sea cucumber processing.

Abstract: Some embodiments of the disclosure provide a semiconductor device. The semiconductor device comprises: a substrate; a first nitride semiconductor layer on the substrate; a second nitride semiconductor layer on the first nitride semiconductor layer and having a band gap larger than a band gap of the first nitride semiconductor layer; an intermediate layer disposed on the second nitride semiconductor layer; and a conductive structure disposed on the intermediate layer, wherein a first even interface is formed between the intermediate layer and the second nitride semiconductor layer.

Abstract: The invention provides a command-and-control (C&C) domain name analysis-based botnet detection method, device, apparatus and medium. The method includes an information acquisition step where DNS logs are acquired; a domain name analysis step where C&C domain names in the DNS logs are detected and the category of each C&C domain name is determined according to a pre-built domain name analyzer; a botnet determination step where whether a botnet exists is determined according to the C&C domain name and the category of C&C domain name. In the C&C domain name analysis-based botnet detection method, device, apparatus and medium provided by the present invention, by analyzing the domain name system (DNS) logs, the C&C domain name used in the attack activity is extracted for further analysis of the types of parasitic Trojans to thereby lock down the bot that the C&C server has controlled.

Abstract: Some embodiments of the disclosure provide a semiconductor device. The semiconductor device comprises: a substrate; a first nitride semiconductor layer on the substrate; a second nitride semiconductor layer on the first nitride semiconductor layer and having a band gap larger than a band gap of the first nitride semiconductor layer; an intermediate layer disposed on the second nitride semiconductor layer; and a conductive structure disposed on the intermediate layer, wherein a first even interface is formed between the intermediate layer and the second nitride semiconductor layer.

Abstract: A high electron mobility transistor (HEMT) device is provided. The HEMT device includes a substrate layer, a buffer layer, a barrier layer, and a metallic electrode layer sequentially arranged in that order from bottom to top. The metallic electrode layer includes a source electrode, a gate electrode and a drain electrode sequentially arranged in that order from left to right. The barrier layer may include m number of fluorine-doped regions arranged in sequence, where m is a positive integer and m?2. The HEMT device can realize a relative stability of transconductance in a large range of a gate-source-bias through mutual compensation of transconductances in the fluorine-doped regions with different fluorine-ion concentrations of the barrier layer under the gate electrode, and the HEMT device has a good linearity without the need of excessive adjustments of material structure and device.

Abstract: Disclosed herein are methods of treating or preventing a disease caused by nonsense mutations, or ameliorating one or more symptoms associated therewith, that involve administering to a patient in need thereof a therapeutically or prophylactically effective amount of triamterene, or a pharmaceutically acceptable salt, hydrate, solvate, clathrate, prodrug, or polymorph thereof.

Abstract: The present disclosure provides compositions and methods for treating and/preventing diseases and conditions associated with premature termination mutations. The methods disclosed herein comprise the step of administering to the subject a therapeutically effective dose of a compound described herein that induces read-through of the premature termination codon. The methods of the present disclosure may further comprise treating the subject with enzyme replacement therapy wherein the enzyme replacement therapy is selected for the disease or condition to be treated. Furthermore, the present disclosure provides method of pharmacologically suppressing premature termination codons in a subject in need of such suppression.

Abstract: The invention provides a command-and-control (C&C) domain name analysis-based botnet detection method, device, apparatus and medium. The method includes an information acquisition step where DNS logs are acquired; a domain name analysis step where C&C domain names in the DNS logs are detected and the category of each C&C domain name is determined according to a pre-built domain name analyzer; a botnet determination step where whether a botnet exists is determined according to the C&C domain name and the category of C&C domain name. In the C&C domain name analysis-based botnet detection method, device, apparatus and medium provided by the present invention, by analyzing the domain name system (DNS) logs, the C&C domain name used in the attack activity is extracted for further analysis of the types of parasitic Trojans to thereby lock down the bot that the C&C server has controlled.

Abstract: Various embodiments provide methods and systems for providing a recommended volume level in presentation of media content. In some embodiments, volume adjustment events made by a user and/or similar users while watching media content can be detected and automatically recorded. The media content may include a plurality of segments. A normalized volume level for at least one segment of the media content can be determined by aggregating the recorded volume adjustment events corresponding to the at least one segment of the media content. When the media content is played back on a user device, at least some embodiments cause the at least one segment of the media content to be played back at a recommended volume level determined based at least in part upon one of the normalized audio level of the corresponding segment, the audio system of the user device, or historical data and personal profile of the user.

Abstract: A two piece electroplating frame or electroplating frame is disclosed that is suitable for holding multiple solar cells during an electroplating operation. The electroplating frame can be formed from or at least covered with non-conductive material to reduce the collection of plating material on the electroplating frame. The two pieces of the electroplating frame can be coupled together around the solar cells by magnets distributed throughout the electroplating frame. The electroplating frame can include alignment features for self-aligning the assembly of the two pieces without requiring precise pre-alignment.

Abstract: The present disclosure provides compositions and methods for treating and/preventing diseases and conditions associated with premature termination mutations. The methods disclosed herein comprise the step of administering to the subject a therapeutically effective dose of a compound described herein that induces read-through of the premature termination codon. The methods of the present disclosure may further comprise treating the subject with enzyme replacement therapy wherein the enzyme replacement therapy is selected for the disease or condition to be treated. Furthermore, the present disclosure provides method of pharmacologically suppressing premature termination codons in a subject in need of such suppression.

Abstract: Images may be analyzed to determine a visually cohesive color palette, for example by comparing a subset of the colors most frequently appearing in the image to a plurality of color schemes (e.g., complementary, analogous, etc.), and potentially modifying one or more of the subset of colors to more accurately fit the selected color scheme. Various regions of the image are selected and portions of the regions having one or more colors of the color palette are extracted and classified to generate and compare feature vectors of the patches to previously-determined feature vectors of items to identify visually similar items. The visually similar items are selected for presentation in various ways, such as by choosing an outfit of visually-similar apparel items based on the locations of the corresponding colors in the image, etc.

Abstract: Approaches attempt to determine information that can help to produce more useful recommendations to be displayed in a situation where no, or little, information is available that indicates a relationship between content provided through an electronic marketplace or other content provider. For example, data available that relates to an item in a product catalog, for example color data, can be analyzed and aggregated in order to attempt to locate other items that are related and relevant to the item, at least as it relates to color and categorization of the content. Such approaches can include, for example, analyzing images, articles, and other sources of electronic content to attempt to locate items that might be relevant to the item of interest.

Abstract: Training images can be synthesized in order to obtain enough data to train a convolutional neural network to recognize various classes of a type of item. Images can be synthesized by blending images of items labeled using those classes into selected background images. Catalog images can represent items against a solid background, which can be identified using connected components or other such approaches. Removing the background using such approaches can result in edge artifacts proximate the item region. To improve the results, one or more operations are performed, such as a morphological erosion operation followed by an opening operation. The isolated item portion then can be blended into a randomly selected background region in order to generate a synthesized training image. The training images can be used with real world images to train the neural network.

Abstract: A set of training images is obtained by analyzing text associated with various images to identify images likely demonstrating a visual attribute. Localization can be used to extract patches corresponding to these attributes, which can then have features or feature vectors determined to train, for example, a convolutional neural network. A query image can be received and analyzed using the trained network to determine a set of items whose images demonstrate visual similarity to the query image at least with respect to the attribute of interest. The similarity can be output from the network or determined using distances in attribute space. Content for at least a determined number of highest ranked, or most similar, items can then be provided in response to the query image.

Abstract: The accuracy of an image matching process can be improved by determining relevant swatch regions of the images, where those regions contain representative patterns of the items of interest represented in those images. Various processes examine a set of visual cues to determine at least one candidate object region, and then collate these regions to determine one or more representative swatch images. For apparel items, this can include locating regions such as an upper body region, torso region, clothing region, foreground region, and the like. Processes such as regression analysis or probability mapping can be used on the collated region data (along with confidence and/or probability values) to determine the appropriate swatch regions.