Abstract: The invention relates to methods of (i) treating a subject for a disease, (ii) amelioration of decline of forced vital capacity in a subject in need thereof, (iii) modulating ?V?6 integrin, ?V?1 integrin, or both ?V?6 integrin and ?V?1 integrin in a subject in need thereof, (iv) increasing the expression of one or more genes in a subject in need thereof, (v) decreasing the expression of one or more genes in a subject in need thereof, and (vi) modulating the activity of at least one gene affecting fibrotic activity in a subject in need thereof, comprising administration of compounds of Formula (A), Formula (I), Formula (II), or (S)-4-((2-methoxyethyl)(4-(5,6,7,8-tetrahydro-1,8-naphthyridin-2-yl)butyl)amino)-2-(quinazolin-4-ylamino)butanoic acid, or a pharmaceutically acceptable salt thereof as described herein; and administering to the subject at least a second drug selected from pirfenidone and nintedanib, or a salt thereof.

Abstract: The present disclosure relates to cleaning compositions that are used to clean semiconductor substrates. These cleaning compositions can remove the defects/contaminants arising from previous processing on the semiconductor substrates and thereby make the substrates appropriate for further processing. The cleaning compositions described herein primarily contain at least one pH adjusting agent and at least one biosurfactant.

Abstract: The present disclosure relates to cleaning compositions that are used to clean semiconductor substrates. These cleaning compositions can remove the defects/contaminants arising from previous processing on the semiconductor substrates and thereby make the substrates appropriate for further processing. The cleaning compositions described herein primarily contain at least one pH adjusting agent and at least one biosurfactant.

Abstract: Disclosed herein are various embodiments for estimating shipping costs of items purchased on an online market. An embodiment operates by detecting a sales transaction between a seller and a buyer for an item via an online marketplace. An item vector representing the item as created by a deep learning model based on a plurality of characteristics associated with the item is received. A set of proximate vectors to the item vector, each of the proximate vectors corresponding to a past listings where a past shipping cost from shipping a product in the past listing is known are identified. A weighted average is calculated from the past shipping cost of each of the past listings. A dimensional weight of the item is estimated based on the weight average, and a shipping cost for the item is estimated based on the estimated dimensional weight prior to providing the item to a carrier.

Abstract: A system and method of detecting scale from image data obtained by a computing device together with position and orientation of the computing device is provided. The scale may be used for the virtual selection and/or fitting of a wearable device such as a head mounted wearable device and other such wearable devices. The system and method may include capturing a series of frames of image data, and detecting one or more fixed features in the series of frames of image data. Position and orientation data associated with the capture of the image data is combined with the position data related to the one or more fixed features to set a scale that is applicable to the image data. Scale may be determined without the use of a reference object having known scale, specialized equipment, and the like.

Abstract: A method of training a model comprising a generative network mapping a latent vector to a feature vector, wherein weights in the generative network are modelled as probabilistic distributions. The method comprises: a) obtaining one or more observed data points, each comprising an incomplete observation of the features in the feature vector; b) training the model based on the observed data points to learn values of the weights of the generative network which map the latent vector to the feature vector; c) from amongst a plurality of potential next features to observe, searching for a target feature of the feature vector which maximizes a measure of expected reduction in uncertainty in a distribution of said weights of the generative network given the observed data points so far; and d) outputting a request to collect a target data point comprising at least the target feature.

Abstract: A method of training a model comprising a generative network mapping a latent vector to a feature vector, wherein weights in the generative network are modelled as probabilistic distributions. The method comprises: a) obtaining one or more observed data points, each comprising an incomplete observation of the features in the feature vector; b) training the model based on the observed data points to learn values of the weights of the generative network which map the latent vector to the feature vector; c) from amongst a plurality of potential next features to observe, searching for a target feature of the feature vector which maximizes a measure of expected reduction in uncertainty in a distribution of said weights of the generative network given the observed data points so far; and d) outputting a request to collect a target data point comprising at least the target feature.

Abstract: A method including receiving (S605) a request for a depth map, generating (S625) a hybrid depth map based on a device depth map (110) and downloaded depth information (105), and responding (S630) to the request for the depth map with the hybrid depth map (415). The device depth map (110) can be depth data captured on a user device (515) using sensors and/or software. The downloaded depth information (105) can be associated with depth data, map data, image data, and/or the like stored on a remote (to the user device) server (505).

Abstract: This disclosure relates to a polishing composition that includes at least one abrasive; at least one nitride removal rate reducing agent, an acid or a base; and water. The at least one nitride removal rate reduce agent can include a hydrophobic portion containing a C4 to C40 hydrocarbon group; and a hydrophilic portion containing at least one group selected from the group consisting of a sulfinite group, a sulfate group, a sulfonate group, a carboxylate group, a phosphate group, and a phosphonate group; in which the hydrophobic portion and the hydrophilic portion are separated by zero to ten alkylene oxide groups. The polishing composition can have a pH of from about 2 to about 6.5.

Abstract: Disclosed is a method including receiving a depth map estimated using data based on image and data received from a movement sensor as input, generating an alignment parameter based on the depth map, adding the alignment parameter to a pre-calibration state to define a user operational calibration state, generating scale parameters and shift parameters based on features associated with the data received from the image and movement sensor, and calibrating the image and movement sensor based on the user operational calibration state, the scale parameters and the shift parameters.

Abstract: This disclosure relates to a polishing composition that includes at least one abrasive; at least one nitride removal rate reducing agent, an acid or a base; and water. The at least one nitride removal rate reduce agent can include a hydrophobic portion containing a C4 to C40 hydrocarbon group; and a hydrophilic portion containing at least one group selected from the group consisting of a sulfinite group, a sulfate group, a sulfonate group, a carboxylate group, a phosphate group, and a phosphonate group; in which the hydrophobic portion and the hydrophilic portion are separated by zero to ten alkylene oxide groups. The polishing composition can have a pH of from about 2 to about 6.5.

Abstract: A method including receiving a first depth image associated with a first frame at a first time of an augmented reality (AR) application, the first depth image representing at least a first portion of a real-world space storing the first depth image receiving a second depth image associated with a second frame at a second time, after the first time, of the AR application, the second depth image representing at least a second portion of the real-world space generating a real-world image by blending, at least, the stored first depth image with the second depth image receiving a rendered AR object combining the AR object in the real-world image and displaying the real-world image combined with the AR object.

Abstract: The present disclosure relates to cleaning compositions that can be used to clean semiconductor substrates. These cleaning compositions can be used to remove defects arising from previous processing steps on these semiconductor substrates. These cleaning compositions can remove the defects/contaminants from the semiconductor substrates and thereby make the substrates appropriate for further processing. The cleaning compositions described herein primarily contain at least one organic acid and at least one anionic polymer.

Abstract: A polishing composition includes an anionic abrasive; a pH adjuster; a transition metal catalyst; and an amino acid. A method of polishing a substrate includes the steps of: applying the polishing composition described herein to a surface of a substrate, wherein the surface comprises tungsten or molybdenum; and bringing a pad into contact with the surface of the substrate and moving the pad in relation to the substrate.

Abstract: Disclosed herein are various embodiments for estimating shipping costs of items purchased on an online market. An embodiment operates by detecting a sales transaction between a seller and a buyer for an item via an online marketplace. An item vector representing the item as created by a deep learning model based on a plurality of characteristics associated with the item is received. A set of proximate vectors to the item vector, each of the proximate vectors corresponding to a past listings where a past shipping cost from shipping a product in the past listing is known are identified. A weighted average is calculated from the past shipping cost of each of the past listings. A dimensional weight of the item is estimated based on the weight average, and a shipping cost for the item is estimated based on the estimated dimensional weight prior to providing the item to a carrier.

Abstract: The present disclosure relates to cleaning compositions that can be used to clean semiconductor substrates. These cleaning compositions can be used to remove defects arising from previous processing steps on these semiconductor substrates. These cleaning compositions can remove the defects/contaminants from the semiconductor substrates and thereby make the substrates appropriate for further processing. The cleaning compositions described herein primarily contain at least one organic acid and at least one anionic polymer.

Abstract: A bag toss game includes a game board with a target opening, sometimes known as corn hole. A pair of legs are pivotally mounted to the game board to support the game board at an angle relative to a support surface. A stowable accessory stand based on a pair of parallel sidebars is connected at upper ends by a perpendicular crossbar. The accessory stand is movable between a predetermined vertical angle position and a stowed position defined within the game board. The lower ends of the sidebars are mounted to the pair of legs. A shelf may be pivotally mounted to the accessory stand. The shelf is movable from a playing position parallel to the support surface to a stowed position parallel to the sidebars.

Abstract: Disclosed herein are system, method, and computer program product embodiments for estimating shipping costs of items purchased in an online market using machine learning techniques. By determining in real-time the dimensional weight of an item with reference to a machine learning model describing past transactions, a buyer and seller in the online market can finalize the transaction in real-time. The machine learning model further implements a bias within the machine learning algorithm towards heavier estimation to avoid undercharging the market participants for shipping costs. One embodiment involves using these cost-estimation techniques in the context of a local shipping feature, which allows buyers and sellers to schedule a same-day delivery by seamlessly involving a local carrier.