Abstract: Systems and methods for depositing materials on a substrate via OVJP are provided. A float table and grippers are used to move and position the substrate relative to one or more OVJP print bars to reduce the chance of damaging or compromising the substrate or prior depositions.

Abstract: This application relates to automatically scheduling timeslots, such as timeslots for scheduling item pickups and deliveries. The embodiments may employ machine learning process to determine, for each of a plurality of timeslots, a timeslot capacity. The embodiments may further determine a time as to when each of the plurality of timeslots become available for selection, such as on a webpage. In some examples, the time determined to make available for selection each of the plurality of timeslots is based on a predetermined amount of time before the timeslot. Further, the embodiments may provide for display each of the plurality of timeslots at the determined time. The embodiments may further include receiving a selection of one of the plurality of timeslots, and scheduling a pickup or delivery based on the selected timeslot. The machine learning processes may be trained with features generated from historical timeslot data and workforce availability.

Abstract: Systems and methods for depositing materials on a substrate via OVJP are provided. A float table and grippers are used to move and position the substrate relative to one or more OVJP print bars to reduce the chance of damaging or compromising the substrate or prior depositions.

Abstract: Systems and methods for depositing materials on a substrate via OVJP are provided. A float table and grippers are used to move and position the substrate relative to one or more OVJP print bars to reduce the chance of damaging or compromising the substrate or prior depositions.

Abstract: This application relates to automatically scheduling timeslots, such as timeslots for scheduling item pickups and deliveries. The embodiments may employ machine learning process to determine, for each of a plurality of timeslots, a timeslot capacity. The embodiments may further determine a time as to when each of the plurality of timeslots become available for selection, such as on a webpage. In some examples, the time determined to make available for selection each of the plurality of timeslots is based on a predetermined amount of time before the timeslot. Further, the embodiments may provide for display each of the plurality of timeslots at the determined time. The embodiments may further include receiving a selection of one of the plurality of timeslots, and scheduling a pickup or delivery based on the selected timeslot. The machine learning processes may be trained with features generated from historical timeslot data and workforce availability.

Abstract: Methods, systems, and devices are provided for organic vapor jet deposition (OVJP), which require significantly fewer print heads than conventional OVJP deposition systems. The disclosed OVJP systems include half the number of OVJP print heads than a conventional system, or less, and provide for relative movement of the substrate and print heads to allow for rapid and comprehensive material deposition over the full surface of the substrate.

Abstract: This application relates to automatically scheduling timeslots, such as timeslots for scheduling item pickups and deliveries. The embodiments may employ machine learning process to determine, for each of a plurality of timeslots, a timeslot capacity. The embodiments may further determine a time as to when each of the plurality of timeslots become available for selection, such as on a webpage. In some examples, the time determined to make available for selection each of the plurality of timeslots is based on a predetermined amount of time before the timeslot. Further, the embodiments may provide for display each of the plurality of timeslots at the determined time. The embodiments may further include receiving a selection of one of the plurality of timeslots, and scheduling a pickup or delivery based on the selected timeslot. The machine learning processes may be trained with features generated from historical timeslot data and workforce availability.

Abstract: This application relates to apparatus and methods for providing recommended items to advertise. In some examples, a computing device determines a plurality of first values for a corresponding plurality of first items based on the user's engagement with each of the first items. The computing device may then determine a subset of the plurality of first items based on the first values. The computing device may receive a search request and determine a plurality of second values for a plurality of second items based on the search request. The computing device may determine a plurality of third values for the subset of items based on the plurality of second values for the plurality of second items and the user's engagement with each of the subset of items. The computing device may determine the recommended items based on the plurality of second values and the plurality of third values.

Abstract: A chuck for holding a workpiece in a deposition system is provided, which includes a base having a base surface with a flatness tolerance of not greater than 30 µm and a clamp having a surface configured to be attached to a substrate, which has a flatness tolerance of not greater than 30 µm. The clamp also includes a substrate holder configured to hold a substrate above the second clamp surface.

Abstract: This application relates to automatically scheduling timeslots, such as timeslots for scheduling item pickups and deliveries. The embodiments may employ machine learning process to determine, for each of a plurality of timeslots, a timeslot capacity. The embodiments may further determine a time as to when each of the plurality of timeslots become available for selection, such as on a webpage. In some examples, the time determined to make available for selection each of the plurality of timeslots is based on a predetermined amount of time before the timeslot. Further, the embodiments may provide for display each of the plurality of timeslots at the determined time. The embodiments may further include receiving a selection of one of the plurality of timeslots, and scheduling a pickup or delivery based on the selected timeslot. The machine learning processes may be trained with features generated from historical timeslot data and workforce availability.

Abstract: Systems and methods for depositing materials on a substrate via OVJP are provided. A float table and grippers are used to move and position the substrate relative to one or more OVJP print bars to reduce the chance of damaging or compromising the substrate or prior depositions.

Abstract: The present invention relates to oral sustained release formulations of tofacitinib and pharmaceutical acceptable salts thereof. The formulations described herein have desirable pharmacokinetic characteristics.

Abstract: The present invention relates to oral sustained release formulations of tofacitinib and pharmaceutical acceptable salts thereof. The formulations described herein have desirable pharmacokinetic characteristics.

Abstract: Systems and methods are provided for fault detection in a component of a machine during operation. Vibration data is acquired based on a vibration signal output from a sensor associated with the component. The vibration data is analyzed with at least two machine learning models to predict a condition of the component.

Abstract: The present invention relates to oral sustained release formulations of tofacitinib and pharmaceutical acceptable salts thereof. The formulations described herein have desirable pharmacokinetic characteristics.

Abstract: The present invention relates to oral sustained release formulations of tofacitinib and pharmaceutical acceptable salts thereof. The formulations described herein have desirable pharmacokinetic characteristics.

Abstract: The present invention relates to oral sustained release formulations of tofacitinib and pharmaceutical acceptable salts thereof. The formulations described herein have desirable pharmacokinetic characteristics.

Abstract: The present invention relates to oral sustained release formulations of tofacitinib and pharmaceutical acceptable salts thereof. The formulations described herein have desirable pharmacokinetic characteristics.

Abstract: An electron-beam induced plasma is utilized to establish a non-mechanical, electrical contact to a device of interest. This plasma source may be referred to as atmospheric plasma source and may be configured to provide a plasma column of very fine diameter and controllable characteristics. The plasma column traverses the atmospheric space between the plasma source into the atmosphere and the device of interest and acts as an electrical path to the device of interest in such a way that a characteristic electrical signal can be collected from the device. Additionally, by controlling the gases flowing into the plasma column the probe may be used for surface modification, etching and deposition.

Abstract: An electron-beam induced plasmas is utilized to establish a non-mechanical, electrical contact to a device of interest. This plasma source may be referred to as atmospheric plasma source and may be configured to provide a plasma column of very fine diameter and controllable characteristics. The plasma column traverses the atmospheric space between the plasma source into the atmosphere and the device of interest and acts as an electrical path to the device of interest in such a way that a characteristic electrical signal can be collected from the device. Additionally, by controlling the gases flowing into the plasma column the probe may be used for surface modification, etching and deposition.