Abstract: Exemplary methods of forming a silicon-and-carbon-containing material may include flowing a silicon-oxygen-and-carbon-containing precursor into a processing region of a semiconductor processing chamber. A substrate may be housed within the processing region of the semiconductor processing chamber. The methods may include forming a plasma within the processing region of the silicon-and-carbon-containing precursor. The plasma may be formed at a frequency less than 15 MHz (e.g., 13.56 MHz). The methods may include depositing a silicon-and-carbon-containing material on the substrate. The silicon-and-carbon-containing material as-deposited may be characterized by a dielectric constant below or about 3.5 and a hardness greater than about 3 Gpa.

Abstract: Technology for inspection for detecting a defect of a printed matter using machine logic informed by machine learning. Some embodiments of the present invention may include one, or more, of the following features: (i) generates defect datasets; (ii) generates defect libraries; (iii) uses the generated defect libraries for deep learning training; and (iv) uses machine learning to detect defects using computer code (for example, a *.jpg format file) corresponding to an image of a piece of printed matter instead of using a visual image (that is, an image of the type that is created when a person takes a picture using a traditional film camera).

Abstract: A method for crystal pulling is provided. The method includes the following. The method includes performing an equal-diameter process. The equal-diameter process is performed as follows. From the first equal-diameter stage to the third equal-diameter stage, the crystal rotation rate is gradually increased after starting at a first initial crystal rotation rate, and then is kept at a constant rotation rate after gradually increasing the crystal rotation rate. The crucible rotation rate is gradually increased from a first initial crucible rotation rate to a maximum crucible rotation rate after starting at the first initial crucible rotation rate in the first equal-diameter stage, the crucible rotation rate is kept at the maximum crucible rotation rate in the second equal-diameter stage, and the crucible rotation rate is gradually decreased after the second equal-diameter stage. The method further includes a cooling process.

Abstract: Embodiments herein relate to prediction, based on previous usage of a cloud-based computing resource by a user of one or more users of the cloud-based computing resource, future usage of the cloud-based computing resource. Based on the predicted future usage, embodiments relate to identifying that throttling of access to the cloud-based computing resource is to occur, and notifying the user of the throttling. Other embodiments may be described and/or claimed.

Abstract: Embodiments described herein provide methods and systems for effectively and efficiently summarizing long documents. A transformer is provided with bottom-up and top-down inference combined to effectively capture long-range dependency. In the bottom-up inference, each token only attends to nearby tokens within a window of a specified size. In the top-down inference, full self-attention is given using units with coarser granularity. The bottom-up-inferred token representations are then updated with the top-down representations, which is achieved with cross-attention between the top and token levels. Multiple levels of top-down representations with increasingly coarser granularity can be used if documents are extremely long.

Abstract: Embodiments include semiconductor processing methods to form low-? films on semiconductor substrates are described. The processing methods may include flowing one or more deposition precursors to a semiconductor processing system. The one or more deposition precursors may include a silicon-containing precursor that may be a cyclic compound. The methods may include generating a deposition plasma from the one or more deposition precursors. The methods may include depositing a silicon-and-carbon-containing material on the substrate from plasma effluents of the deposition plasma. The silicon-and-carbon-containing material as-deposited may be characterized by a dielectric constant less than or about 3.0.

Abstract: Embodiments include semiconductor processing methods to form low-K films on semiconductor substrates are described. The processing methods may include flowing one or more deposition precursors to a semiconductor processing system, wherein the one or more deposition precursors include a silicon-containing precursor. The silicon-containing precursor may include a carbon chain. The methods may include generating a deposition plasma from the one or more deposition precursors. The methods may include depositing a silicon-and-carbon-containing material on the substrate from plasma effluents of the deposition plasma. The silicon-and-carbon-containing material as-deposited may be characterized by a dielectric constant less than or about 3.0.

Abstract: Exemplary semiconductor processing methods may include providing one or more deposition precursors to a processing region of a semiconductor processing chamber. A semiconductor substrate may be positioned within the processing region. The methods may include forming a layer of low dielectric constant material on the semiconductor substrate. The methods may include purging the processing region of the one or more deposition precursors. A plasma power may be maintained at less than or about 750 W while purging the processing region. The methods may include forming an interface layer on the layer of low dielectric constant material. The methods may include forming a cap layer on the interface layer.

Abstract: Parameters from an inspection image representing mechanical vibrations and electromagnetic interference can be determined. An X-direction vibration spectrum can be determined based on the X-direction offsets. A Y-direction vibration spectrum can be determined based on the Y-direction offsets. The determinations can be based on a swath image of a workpiece, such as a semiconductor wafer or reticle.

Abstract: In accordance with an embodiment, an application display method includes: starting an application on an electronic device; detecting a switching operation of switching a screen orientation of the electronic device from a portrait orientation to a landscape orientation; in response to detecting the switching operation, changing a window orientation of display resource information of the application to the portrait orientation; and sending the changed display resource information to the application, so that the application loads a portrait layout of an application window in the landscape orientation.

Abstract: The single crystal furnace charging system includes a control system configured to send a charging request, a material preparation system configured to receive the charging request and prepare materials based on the charging request, a feeding system configured to receive the charging request, obtain the materials, and compare an actual feeding amount with a preset feeding amount to obtain a difference between the actual feeding amount and the preset charging amount, in response to the difference being within a first preset threshold, charge a single crystal furnace. The single crystal furnace charging system further includes a calibration system configured to obtain a total charging weight, and obtain a difference between the total charging weight and a preset charging amount of the single crystal furnace, in response to the difference being within a second preset threshold, update a total charging amount to the total charging weight.

Abstract: A method, system and computer program product for segmenting generic foreground objects in images and videos. For segmenting generic foreground objects in videos, an appearance stream of an image in a video frame is processed using a first deep neural network. Furthermore, a motion stream of an optical flow image in the video frame is processed using a second deep neural network. The appearance and motion streams are then joined to combine complementary appearance and motion information to perform segmentation of generic objects in the video frame. Generic foreground objects are segmented in images by training a convolutional deep neural network to estimate a likelihood that a pixel in an image belongs to a foreground object. After receiving the image, the likelihood that the pixel in the image is part of the foreground object as opposed to background is then determined using the trained convolutional deep neural network.

Abstract: Embodiments of this application provide a communication method, an apparatus, and a system. The method includes: A proxy base station receives a MSG1 from a user equipment. The proxy base station sends a MSG2 to the user equipment in response to the MSG1, where the MSG2 includes a timing advance, and the timing advance is determined based on at least one of an internal processing delay of a signal extension system and a delay between the signal extension system and a signal source base station.

Abstract: Technology for inspection for detecting a defect of a printed matter using machine logic informed by machine learning. Some embodiments of the present invention may include one, or more, of the following features: (i) generates defect datasets; (ii) generates defect libraries; (iii) uses the generated defect libraries for deep learning training; and (iv) uses machine learning to detect defects using computer code (for example, a *.jpg format file) corresponding to an image of a piece of printed matter instead of using a visual image (that is, an image of the type that is created when a person takes a picture using a traditional film camera).

Abstract: Disclosed are gene engineering bacteria for producing L-arginine and a construction method and an application of the gene engineering bacteria. According to the method, genes encoding a carbamoyl phosphate synthetase and a gene encoding an L-arginine biosynthesis pathway enzyme are integrated into Escherichia coli; the present invention has analyzed and reconstructed the arginine synthetic pathway and the metabolic flow related to arginine in the entire amino acid metabolic network in E. coli and finally obtained a genetically engineered bacterial strain which has a clear genetic background, carries no plasmids, undergoes no mutagenesis and is capable of stably and efficiently producing L-arginine.

Abstract: A transport protein coding gene, and a method for efficient production of L-tryptophan by a strain containing the gene. Specifically, by heterologous expression of ywkB gene from Bacillus subtilis on the genome of Escherichia coli, L-tryptophan production efficiency of the strain can be improved. Performing shake flask fermentation with the strain can accumulate 15.2 g/L of L-tryptophan within 24 h, which is 35% higher than a control strain.

Abstract: A method, system and computer program product for segmenting generic foreground objects in images and videos. For segmenting generic foreground objects in videos, an appearance stream of an image in a video frame is processed using a first deep neural network. Furthermore, a motion stream of an optical flow image in the video frame is processed using a second deep neural network. The appearance and motion streams are then joined to combine complementary appearance and motion information to perform segmentation of generic objects in the video frame. Generic foreground objects are segmented in images by training a convolutional deep neural network to estimate a likelihood that a pixel in an image belongs to a foreground object. After receiving the image, the likelihood that the pixel in the image is part of the foreground object as opposed to background is then determined using the trained convolutional deep neural network.