Abstract: A 3D IC structure includes multiple die layers, such as a top die layer and a bottom die layer. The top die layer and/or the bottom die layer each includes devices such as computing units, Analog-to-Digital converters, analog circuits, RF circuits, logic circuits, sensors, Input/Output devices, and/or memory devices. The devices on the first and the second die layers are laterally surrounded by, or adjacent, vertical interconnect structures (VIS).

Abstract: The present disclosure provides a memory device, a semiconductor device, and a method of operating a memory device. A memory device includes a memory cell, a bit line, a word line, a select transistor, a fuse element, and a heater. The bit line is connected to the memory cell. The word line is connected to the memory cell. The select transistor is disposed in the memory cell. A gate of the select transistor is connected to the word line. The fuse element is disposed in the memory cell. The fuse element is connected to the bit line and the select transistor. The heater is configured to heat the fuse element.

Abstract: Various embodiments of the present disclosure are directed towards a method for forming a semiconductor structure, the method includes forming a buffer layer over a substrate. An active layer is formed on the buffer layer. A top electrode is formed on the active layer. An etch process is performed on the buffer layer and the substrate to define a plurality of pillar structures. The plurality of pillar structures include a first pillar structure laterally offset from a second pillar structure. At least portions of the first and second pillar structures are spaced laterally between sidewalls of the top electrode.

Abstract: A semiconductor device is provided. The semiconductor device comprising a first fin pattern and a second fin pattern which are separated by a first isolation trench and extend in a first direction, a third fin pattern which is spaced apart from the first fin pattern in a second direction intersecting the first direction and extends in the first direction, a fourth fin pattern which is separated from the third fin pattern by a second isolation trench, a first gate structure which intersects the first fin pattern and has a portion extending along an upper surface of the first fin pattern, a second gate structure which intersects the second fin pattern and has a portion extending along an upper surface of the second fin pattern and a first element isolation structure which fills the second isolation trench and faces a short side of the first gate structure.

Abstract: To automate time series forecasting machine learning pipeline generation, a data allocation size of time series data may be determined based on one or more characteristics of a time series data set. The time series data may be allocated for use by candidate machine learning pipelines based on the data allocation size. Features for the time series data may be determined and cached by the candidate machine learning pipelines. Predictions of each of the candidate machine learning pipelines using at least the one or more features may be evaluated. A ranked list of machine learning pipelines may be automatically generated from the candidate machine learning pipelines for time series forecasting based upon evaluating predictions of each of the one or more candidate machine learning pipelines.

Abstract: Methods and systems for diagnosing a sensor can involve detecting a group of sensor signals output from a sensor, and differentiating from among the sensor signals to distinguish inequalities in the sensor signals for an indication of a potential fault in the sensor. A small sensor signal can be identified from a larger sensor signal among the sensor signals for the indication of the potential fault in the sensor. The sensor can include a group of piezo-resistive Wheatstone bridge elements, and in some embodiments, the sensor may be a pressure transmitter.

Abstract: The present application provides constructs comprising a single-domain antibody (sdAb) moiety that specifically recognizes TIGIT. Also provided are methods of making and using these constructs.

Abstract: The present application provides anti-LAG-3 constructs comprising a single-domain antibody (sdAb) that specifically recognizes LAG-3. Also provided are methods of making and using these constructs.

Abstract: According to an aspect, a computer-implemented method includes accessing a profile of a user that indicates a likelihood that the user will execute each of a plurality of types of processing when training a new AI model. A runtime matrix that includes identifiers of runtime environments is accessed. The matrix also includes, for each of the runtime environments, a frequency of use of the runtime environment to train previously trained AI models using each of the plurality of types of processing. One or more of the runtime environments is selected for output to the user based at least in part on the profile of the user and the runtime matrix. Identifiers of the selected one or more of the runtime environments are output to a user interface of the user along with a suggestion to use one of the selected one or more of the runtime environments.

Abstract: Disclosed are monoclonal antibodies, antigen binding fragments, and bi-specific antibodies that specifically bind a coronavirus spike protein, such as SARS-CoV-2. Also disclosed is the use of these antibodies for inhibiting a coronavirus infection, such as a SARS-CoV-2 infection. In addition, disclosed are methods for detecting a coronavirus, such as SARS-CoV-2, in a biological sample, using the disclosed antibodies.

Abstract: A voltage regulator having a multiple of main stages and at least one accelerated voltage regulator (AVR) bridge is provided. The main stages may respond to low frequency current transients and provide DC output voltage regulation. The AVR bridges are switched much faster than the main stages and respond to high frequency current transients without regulating the DC output voltage. The AVR bridge frequency response range can overlap with the main stage frequency response range, and the lowest frequency to which the AVR bridges respond may be set lower than the highest frequency to which the main stages respond.

Abstract: Disclosed are antigen binding polypeptides and antigen binding polypeptide complexes (e.g., antibodies and antigen binding fragments thereof) having certain structural and/or functional features. Also disclosed are polynucleotides and vectors encoding such polypeptides and polypeptide complexes; host cells, pharmaceutical compositions and kits containing such polypeptides and polypeptide complexes; and methods of using such polypeptides and polypeptide complexes.

Abstract: The present disclosure relates to indolinyl compounds. The present disclosure further relates to compounds that inhibit viral helicase-primase. The present disclosure further relates to the use of the compounds for the preparation a medicament for the treatment of diseases and/or condition through inhibiting viral helicase-primase. The present disclosure also relates to use of those compounds in the treatment of viral infections. The present disclosure further relates to intermediates for its preparation and to pharmaceutical compositions containing those compounds.

Abstract: The present disclosure relates to methods for the treatment of diseases or disorders (e.g., cancer) with mTOR inhibitors. Specifically, the disclosure relates to methods of treating a subject having a cancer by administering a particular dosage of an mTOR inhibitor. In some embodiments this disclosure includes methods for delaying, preventing, or treating acquired resistance to RAS inhibitors using a dosage of an mTOR inhibitor. In some embodiments, this disclosure relates to methods of treating or preventing adverse events associated with administration of an mTOR inhibitor using tacrolimus.

Abstract: Various embodiments are disclosed for providing machine learning routines with peripheral device data to infer driver activity and location. Peripheral device data may be collected on a peripheral device having a machine learning routine executing thereon to infer driver activity and perform improved estimation of driver location. Using driver activity and location estimation, contextually relevant delivery workflow assistance may be automatically provided to a delivery driver or other individual without requiring manual input, thereby improving driver safety and operational efficiency.

Abstract: A method of generating customizable goal representation is disclosed. A request from a user to view a goal representation is received. A flexible goal ontology is accessed that comprises one or more goal entities, one or more goal relationships between the goal entities, or one or more goal properties, the one or more goal properties including one or more metadata attributes relating to the one or more goal entities. A set of mapping rules is obtained that defines mappings between one or more goals. The set of mapping rules is evaluated to assemble a customized goal representation tailored to the user. The customized goal representation is updated based on a revaluation of the mapping rules affected by changes to the one or more goal entities, the one or more goal relationships, or the one or more properties.

Abstract: The present invention belongs to the field of environment monitoring, particularly relates to a CO2 storage state networking monitoring device, system and method with multi-information fusion. The present invention comprises: obtaining orientation electrical signal data and real-time pressure signals, analyzing a fluid flowing state at a view of a pressure sensor through the real-time pressure signals, and obtaining a CO2 flowing state through the orientation electrical signal data; and obtaining a CO2 regional storage state by combining an orientation CO2 content, a CO2 flowing state and the fluid flowing condition at the view of the pressure sensor. By combining accurate short-range CO2 boundary monitoring of orientation electrodes with long-range monitoring of pressure sensors to achieve a wide range of CO2 flowing state monitoring, the present invention can observe more data with higher reliability and effectively aims at the problem of strong inter-well heterogeneity.

Abstract: A method for obtaining and processing image data by using a medical visual aid system including a monitor and an endoscope configured to be inserted into a body cavity and including an image capturing device and a light emitting device, the method including illuminating a field of view of the image capturing device with the light emitting device, capturing the image data using the image capturing device, providing a non-linear scaling model adapted to the body cavity, adjusting the image data by applying the non-linear scaling model such that adjusted image data is formed, and presenting the adjusted image data on the monitor.

Abstract: The present disclosure relates to methods for the treatment of diseases or disorders (e.g., cancer) with mTOR inhibitors. Specifically, the disclosure relates to methods of treating a subject having a cancer by administering a particular dosage of an mTOR inhibitor. In some embodiments this disclosure includes methods for delaying, preventing, or treating acquired resistance to RAS inhibitors using a dosage of an mTOR inhibitor. In some embodiments, this disclosure relates to methods of treating or preventing adverse events associated with administration of an mTOR inhibitor using tacrolimus.

Abstract: At least one processor identifies dependency relationships among libraries in a repository of libraries. Using the dependency relationships among libraries, at least one machine learning model can be created that predicts with a confidence value a dependency between a given library and a target library. An L layer tree-like graph can be created, using the dependency relationships among libraries and an application package. L can be configurable. Versions of the libraries to use can be determined by running the at least one machine learning model for each pair of nodes having a dependency relationship in the L layer tree-like graph, the at least one machine learning model identifying the dependency relationship with a confidence value, where pairs of nodes having largest confidence values are selected as the versions of the libraries to use in the application package.