Abstract: A method involves forming a metal layer on a metal seed layer, the metal seed layer formed on a carrier wafer. A surface of the metal layer defines a first metal bonding layer. A second metal bonding layer is provided on a target substrate having recording head subassemblies. Mating surfaces of the first and second metal bonding layers are activated and the carrier wafer is flipped and joined with the target substrate such that the first and second metal bonding layers are bonded and the metal layer is integrated with the recording head as a near-field transducer.

Abstract: In order to perform a semantic search based on a graph database, sets of nodes are selected from a plurality of nodes in a graph database. A set of nodes semantically matches a keyword in a natural language query. At least one target node is identified in the sets of nodes. A path is selected from candidate paths based on similarities between the candidate paths and a plurality of paths in the graph database. A graph query for retrieving information from the graph database is generated based on the selected path and the query target.

Abstract: Disclosed here is a serum-free composition, comprising: a coating matrix, a basal medium, and a growth supplement, as well as methods for making and using the serum-free composition. Also disclosed are kits comprising a coating matrix, a basal medium, and a concentrated stock of a growth supplement.

Abstract: Disclosed are various approaches for using drag-and-drop to open local files remotely. In one approach, a client device renders a user interface including a first indicium corresponding to a local file of the client device and a second indicium corresponding to a remotely executed application. A drag-and-drop action of the first indicium relative to the second indicium is detected. Responsive to the drag-and-drop action, the remotely executed application opens a copy of the local file.

Abstract: The disclosure provides techniques for peer to peer communication of a remote display protocol via a real-time communication session between a client device and a remote device. Embodiments include receiving, at a remote device configured to execute a virtual desktop, a request to join a real-time communication (RTC) session with a client device. Embodiments include joining the RTC session with the client device in response to receiving the request. Embodiments include receiving, at the remote device and via the RTC session, data indicative of a remote display protocol for rendering the virtual desktop on a display of the client device. Embodiments include performing, at the remote device, one or more actions based, at least in part, on receiving the data indicative of the remote display protocol.

Abstract: A compound represented by formula (I) and a preparation method thereof, and a pharmaceutically acceptable salt thereof, a metabolic precursor thereof, a metabolite thereof, an isomer thereof or a prodrug thereof; experiments show that the indole alkaloid not only promotes axon growth of peripheral sensory neurons, improves the nerve conduction velocity and anesthesia symptom of diabetic rats, but also promotes healing of foot ulcer wounds of diabetic rats, thus having good therapeutic effects on diabetic complication peripheral neuropathy and diabetic feet; they als show that the indole alkaloid also obviously reduces a degree of pulmonary fibrosis induced by bleomycin in mice, and plays a role in protecting lung tissues.

Abstract: One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to generating images from sound waves using discrete natural language tokens as bridging features. The computer-implemented system can comprise a memory that can store computer executable components. The computer-implemented system can further comprise a processor that can execute the computer executable components stored in the memory, wherein the computer executable components can comprise an image generation component that can use a first neural network model to generate an image of an environment detected by an imaging sonar, based on discrete tokens in natural language that can represent sound waves reflected by structures in the environment, wherein the discrete tokens can be non-semantic.

Abstract: Disclosed are various approaches for using drag-and-drop to open local files remotely. In one approach, a client device renders a user interface including a first indicium corresponding to a local file of the client device and a second indicium corresponding to a remotely executed application. A drag-and-drop action of the first indicium relative to the second indicium is detected. Responsive to the drag-and-drop action, the remotely executed application opens a copy of the local file.

Abstract: A service includes a trained model comprising a classifier that predicts whether domain names are dictionary DGA generated. Using passive DNS data and/or a heuristic analysis based on natural language processing of the domain name, the service filters domain names that are not candidate (i.e., potential) dictionary DGA domain names out of the detection pipeline. There domain names are thus classified without being fed into the model for more computationally expensive processing. Domain names that are not filtered out are queued for input into an instance of the model and classification by the model, with the queued domain names processed in small batches and load balanced across model instances. Predicted domain name classes output by the model are cached for subsequent cache reads to avoid multiple runs of the model for one domain name.

Abstract: A method of forming a thin film structure involves performing one or more repetitions to form a template on a wafer. The repetitions include: depositing a layer of a template material to a thickness; and ion beam milling the layer of the template material to remove thickness less than the first thickness. The ion beam milling may be performed at a two different angles during two different repetitions. At least one of the angles is a channeling angle defined relative to a crystalline microstructure of the template material. After the repetitions, additional material may be deposited on the template to form a final structure. The additional material has a same crystalline microstructure as the template material.

Abstract: A method, computer program product, and computer system are provided for predicting treatment options based on cardiac auscultation data. Text data and audio data corresponding to cardiac auscultation associated with a patient is received. The text data and the audio data are encoded as respective text vectors and audio vectors. A distance between the text vectors and the audio vectors is calculated. Diagnosis results are determined by a machine learning model based on the calculated distance between the text vectors and the audio vectors.

Abstract: According to one embodiment, a method, computer system, and computer program product for building an acoustic model is provided. The present invention may include performing contrastive pre-training of the acoustic model; building a dataset classifier using prompt engineering; performing a prediction process; and performing zero-shot audio prediction using the pre-trained acoustic model.

Abstract: Embodiments of the present disclosure provide systems and methods for implementing enhanced Optical Character Recognition (OCR) of text overlapping scenes through text graph structuring. Text graph structuring is performed to provide a graph data structure for each data character or letter of multiple letters and a library of graph templates from graph structured data of each of the multiple letters. Text graph structuring is performed to convert visual content of an identified overlapping text image region to an overlapping text topology graph. The overlapping text topology graph is split into multiple subgraphs using the graph template library to match recognizable letters in the overlapping text.

Abstract: A method of forming a thin film structure involves performing one or more repetitions to form a template on a wafer. The repetitions include: depositing a layer of a template material to a first thickness T1; and ion beam milling the layer of the template material to remove thickness T2, where T2<T1, resulting in a layer of the template material with thickness T1?T2. The ion beam milling is performed at a channeling angle relative to a deposition plane of the wafer, the channeling angle defined relative to a channeling direction of a crystalline microstructure of the template material. After the repetitions, additional material is deposited on the template to form a final structure. The additional material has a same crystalline microstructure as the template material.

Abstract: Information extraction and image restructuring includes generating semantic vectors to encode portions of text extracted from a document. For each semantic vector a semantic similarity between a schema key and other text encoded therein is determined based on their respective positions within the document. An enhanced NLP model is created using the semantic vectors, each labeled according to the semantic similarity. The text, including schema key, are re-encoded as a key and candidate vectors. Key-value pairs are generated by matching the key vector with a predetermined number of candidate vectors. The enhanced NLP model, using prompt learning, is repurposed to perform a next-sentence prediction that predicts which of the candidate vectors is logically related to the schema key. Based on the next-sentence prediction, the discrete portion of text identified as the schema key and portion of text determined to be logically related thereto are output.

Abstract: A low-cost four-element system cementitious material, a preparation method and an application thereof are provided by the present disclosure, and the cementitious material is used in the fields of mine cementing filling and building materials. The four-element system cementitious material includes the following raw materials in percentage by mass: 20-60% of water-quenched blast furnace slag, 10-40% of waste incineration bottom ash, 20% of pretreated waste incineration fly ash and the balance of desulfurization gypsum. The low-cost four-element system cementitious material is used to replace cement to prepare mine cementing filling materials, and is also used to prepare concrete materials for construction industry.

Abstract: A method involves forming a metal layer on a metal seed layer, the metal seed layer formed on a carrier wafer. A surface of the metal layer defines a first metal bonding layer. A second metal bonding layer is provided on a target substrate having recording head subassemblies. Mating surfaces of the first and second metal bonding layers are activated and the carrier wafer is flipped and joined with the target substrate such that the first and second metal bonding layers are bonded and the metal layer is integrated with the recording head as a near-field transducer.

Abstract: A method, computer system, and a computer program product for enhancing deployed machine learning (ML) models using prompt learning is provided. The present invention may include receiving an input for a prediction task using a first ML model. The present invention may also include adding a feature to the received input using a second ML model, where the added feature is recognized by the first ML model. The present invention may further include predicting, using the first ML model, an output for the received input based on the added feature, wherein the predicted output by the first ML model based on the added feature includes an improved accuracy relative to another predicted output by the first ML model without considering the added feature.

Abstract: Provided are techniques for identifying and correcting model focus drift during model training. A model is trained using an original dataset with data, and the is classified into clusters. A representation is assigned to each of the clusters. A first visualization dashboard with visualizations is generated, where each visualization represents a first data distribution of an associated cluster using the representation assigned to that cluster. The model is fine-tuned using a fine-tune dataset. A second visualization dashboard is generated by updating each visualization, where each visualization represents a second data distribution of the associated cluster. It is determined that a cluster of the clusters has focus drift based on changes between the first data distribution and the second data distribution. The focus drift is corrected by: adding the data of the cluster to the fine-tune dataset to form a combined dataset and fine-tuning the model using the combined dataset.