Abstract: An audio processing method is configured to upsample a first head related transfer function (HRTF) into a second HRTF. The first HRTF defines first audio feature values distributed at first intersection nodes in a spherical coordinate system over audio frequencies. The first intersection nodes are arranged with a first spatial resolution in the spherical coordinate system. The first HRTF is upsampled into the second HRTF by a spherical convolutional neural network model. The second HRTF defines a plurality of second audio feature values distributed at second intersection nodes in the spherical coordinate system over the audio frequencies. The second intersection nodes in the second HRTF are arranged with a second spatial resolution higher than the first spatial resolution of the first intersection nodes in the first HRTF.

Abstract: Embodiments described herein relate generally to a methodology of efficient object classification within a visual medium. The methodology utilizes a first neural network to perform an attention based object localization within a visual medium to generate a visual mask. The visual mask is applied to the visual medium to generate a masked visual medium. The masked visual medium may be then fed into a second neural network to detect and classify objects within the visual medium.

Abstract: Systems, methods, and devices are provided for controlling an unmanned aerial vehicle (UAV) associated with flight response measures. The flight response measure may be generated by assessing one or more flight-restriction strips, assessing at least one of a location or a movement characteristic of the UAV relative to the one or more flight-restriction strips, and directing, with aid of one or more processors, the UAV to take one or more flight response measures based on at least one of the location or movement characteristic of the UAV relative to the one or more flight-restriction strips.

Abstract: A maintenance method of a gas detecting device includes the following steps: providing the gas detecting device that includes a shell component, a sensing component, a dust blocking element, and a detecting area, the sensing component including a sensor, a reference light source, and a processor, and the dust blocking element including a cover; the reference light source generating a reference beam projecting toward the cover and the detecting area, and the reference beam generating a feedback beam projecting toward the cover and the sensor through being reflected by a part of the shell component positioned at the detecting area; the sensor receiving the feedback beam to generate a measured information; and the processor comparing the measured information to an initial information in the processor, so as to obtain a pollution degree information of the cover.

Abstract: Described herein is a method for preparing a dehydrated and de-alcoholized flavor composition by decreasing or removing water and ethanol from a flavor composition, the method including the steps of treating the flavor composition by a dehydration process and dealcoholization process. Also described herein are flavor compositions obtainable by this method, flavored consumer products comprising the same, and methods and uses thereof.

Abstract: A color filter substrate and a method of manufacturing the same and a liquid crystal display device are disclosed. A display area is provided with a first spacer, and a non-display area is provided with a second spacer. The non-display area is further provided with a virtual color resist layer. Color of the virtual color resist layer is the same as color of the third color resist layer, and a height of the first spacer is greater than a height of the second spacer.

Abstract: Described herein are systems, methods, and other techniques for extracting one or more keyphrases from an input text. The input text may include a plurality of words. A plurality of token-level attention matrices may be generated using a transformer-based machine learning model. The plurality of token-level attention matrices may be converted into a plurality of word-level attention matrices. A set of candidate phrases may be identified from the plurality of words based on the plurality of word-level attention matrices. The one or more keyphrases may be selected from the set of candidate phrases.

Abstract: An inertial measurement unit includes a sensor and a heat preservation system. The heat preservation system includes a heat preservation body and a heat source. The sensor is positioned on the heat preservation body. The heat source is configured to generate heat. The heat preservation body is configured to transfer the heat from the heat source to the sensor to maintain a preset temperature in a space surrounding the sensor.

Abstract: An audio processing method is configured to upsample a first head related transfer function (HRTF) into a second HRTF. The first HRTF defines first audio feature values distributed at first intersection nodes in a spherical coordinate system over audio frequencies. The first intersection nodes are arranged with a first spatial resolution in the spherical coordinate system. The first HRTF is upsampled into the second HRTF by a spherical convolutional neural network model. The second HRTF defines a plurality of second audio feature values distributed at second intersection nodes in the spherical coordinate system over the audio frequencies. The second intersection nodes in the second HRTF are arranged with a second spatial resolution higher than the first spatial resolution of the first intersection nodes in the first HRTF.

Abstract: A simplified handwriting recognition approach includes a first network comprising convolutional neural network comprising one or more convolutional layers and one or more max-pooling layers. The first network receives an input image of handwriting and outputs an embedding based thereon. A second network comprises a network of cascaded convolutional layers including one or more subnetworks configured to receive an embedding of a handwriting image and output one or more character predictions. The subnetworks are configured to downsample and flatten the embedding to a feature map and then a vector before passing the vector to a dense neural network for character prediction. Certain subnetworks are configured to concatenate an input embedding with an upsampled version of the feature map.

Abstract: Provided are methods of preparing compounds and pharmaceutical compositions comprising a compound Formula VIII for treating Filoviridae virus infections. In one aspect, the compound of Formula VIII is formed from a reaction mixture comprising the compound of Formula IX, the compound of Formula X, a coupling agent such as magnesium chloride and a non-nucleophilic base such as diisopropylethylamine. The compound of Formula IX can be formed from a compound of Formula V and a cyanating agent. The compound of Formula V can be synthesized from a reaction mixture comprising a deprotonating agent such as phenylmagnesium chloride; a silylating agent such as chlorotrimethylsilane; a coupling agent such as isopropylmagnesium chloride, an additive such as LaCl3-2LiCl, LaCl3, CeCl3, NdCl3, or YCl3; a compound of Formula VI; and 7-iodopyrrolo[2,1-f][1,2,4]triazin-4-amine. The compounds, compositions, and methods provided are particularly useful for the treatment of Marburg virus, Ebola virus and Cueva virus infections.

Abstract: The present invention is a surface treated drug-loaded solid (e.g., non-porous) microparticle that aggregates in vivo to form a consolidated larger particle for medical therapy. In one embodiment, the particles are used for ocular therapy. Processes for producing the surface treated microparticle and injectable formulations which include the surface treated microparticle are also provided. When used in the eye, long-term consistent intraocular delivery can be achieved without disrupting vision and minimizing undesirable inflammatory responses.

Abstract: Systems and methods for handwriting recognition using language modeling facilitate improved results by using a trained language model to improve results from a handwriting recognition machine learning model. The language model may be a character-based language model trained on a dataset pertinent to field values on which the handwriting recognition model is to be used. A loss prediction module may be trained with the handwriting recognition model and/or the language model and used to determine whether a prediction from the handwriting recognition model should be refined by passing the prediction through the trained language model.

Abstract: The present application provides an array substrate and a manufacturing method of the same, the array substrate includes a display region, the display region includes a thin film transistor structure layer including a gate electrode layer and a source drain electrode layer, wherein the gate electrode layer and the source drain electrode layer are made of an alloy material including one or a group selected from Al, Ge, Nd, Ta, Zr, Ni, or La.

Abstract: Disclosed herein is a compound of formula (I), which is ammonium salt of GW5074, wherein R1, R2, and R3 are independently hydrogen, alkyl, alkenyl, alkynyl, aryl, or heteroaryl; or R1, R2, R3 and the nitrogen are taken together to form a 6-membered heterocyclyl; and the alkyl, the alkenyl, the alkynyl, the aryl, the heteroaryl, or the 6-membered heterocyclyl is optionally substituted with at least one substituent selected from the group consisting of, —OH, —NH2, and —NRaRb, in which Ra and Rb are independently alkyl, aryl, or heteroaryl. Also disclosed herein is a pharmaceutical kit for the treatment of cancers. The pharmaceutical kit includes, a first formulation comprising a c-Raf inhibitor and a pharmaceutically acceptable carrier; and a second formulation comprising the compound of formula (I) and a pharmaceutically acceptable carrier. Also encompasses herein is a method of treating a subject having a cancer.

Abstract: The present disclosure provides an array substrate, a display panel, and a manufacturing method of the array substrate. The array substrate includes a substrate layer, an active layer, a first insulating layer, a first metal layer, a second insulating layer, a second metal layer, an interlayer insulating layer, an organic filling layer, and a third metal layer being stacked together. The meshed second metal layer is disposed in the display area, and a double-layer power voltage trace structure in the display area is formed by connecting the first via holes and power voltage signal lines of the third metal layer.

Abstract: The present invention provides a liquid crystal display (LCD) panel comprising a color film substrate, a thin film transistor substrate, and a photo spacer. Wherein the photo spacer is disposed on the color film substrate or/and the thin film transistor substrate. The color film substrate or/and the thin film transistor substrate are provided with a recess. At least a portion of the photo spacer disposed on one of the color filter substrate and the thin film transistor substrate and the recess disposed on the other of the color filter substrate and the thin film transistor substrate are nested.

Abstract: A gas detecting device is provided to detect characteristics of a gas under test. The gas detecting device includes a shell component, a sensing component, and a dust blocking element. The shell component includes a gas passage and a groove. The gas under test passes through a detecting area on a path of the gas passage along the gas passage. The sensing component is disposed inside the shell component. The sensing component includes a substrate, a sensor, and a laser light source. The sensor and the laser light source are respectively disposed corresponding to the detecting area. The dust blocking element is detachably disposed in the groove of the shell component. The dust blocking element includes a base and a cover. The cover is light permeable.

Abstract: A gas detecting device is provided to detect characteristics of a gas under test. The gas detecting device includes a shell component, a sensing component, and a dust blocking element. The shell component includes a gas passage and a groove. The gas under test passes through a detecting area on a path of the gas passage along the gas passage. The sensing component is disposed inside the shell component. The sensing component includes a substrate, a sensor, and a laser light source. The sensor and the laser light source are respectively disposed corresponding to the detecting area. The dust blocking element is detachably disposed in the groove of the shell component. The dust blocking element includes a base and a cover. The cover is light permeable.

Abstract: A maintenance method of a gas detecting device includes the following steps: providing the gas detecting device that includes a shell component, a sensing component, a dust blocking element, and a detecting area, the sensing component including a sensor, a reference light source, and a processor, and the dust blocking element including a cover; the reference light source generating a reference beam projecting toward the cover and the detecting area, and the reference beam generating a feedback beam projecting toward the cover and the sensor through being reflected by a part of the shell component positioned at the detecting area; the sensor receiving the feedback beam to generate a measured information; and the processor comparing the measured information to an initial information in the processor, so as to obtain a pollution degree information of the cover.