Abstract: A control apparatus for controlling at least one heating, ventilation, and air conditioning (HVAC) system includes a microvalve, at least one intelligent controller, a local intelligent gateway in communication with the intelligent controller, a cloud platform in communication with the local intelligent gateway, and a local device configured to communicate through the cloud platform to the intelligent controller. The intelligent controller is configured to control one or more HVAC components, measure air conditioning system parameters including compressor discharge and suction pressure and compressor temperature of a compressor within the HVAC system, and air out, evaporator out, and condenser out temperatures, and superheat and subcooling, and input the measured air conditioning system parameters to the cloud platform to autonomously monitor air conditioning system health and real-time refrigerant charge levels.

Abstract: Systems and methods for using machine learning models to diagnose various diseases or conditions, as well as predict responses to various treatments. According to certain aspects, an electronic device may generate a machine learning model using training data including a set of stained cell images and/or other multi-stream data, as well as indications of any diagnosed diseases and/or whether the patients responded to specific treatments. The electronic device may access additional patient data and input the additional patient into the machine learning model. An output(s) of the machine learning model may indicate a probability(ies) of the additional patient having a disease(s) and/or a probability(ies) of the additional patient responding to a specific treatment(s).

Abstract: A system associated with quantifying a density level of tumor-infiltrating lymphocytes, based on prediction of reconstructed TIL information associated with tumoral tissue image data during pathology analysis of the tissue image data is disclosed. The system receives digitized diagnostic and stained whole-slide image data related to tissue of a particular type of tumoral data. Defined are regions of interest that represents a portion of, or a full image of the whole-slide image data. The image data is encoded into segmented data portions based on convolutional autoencoding of objects associated with the collection of image data. The density of tumor-infiltrating lymphocytes is determined of bounded segmented data portions for respective classification of the regions of interest. A classification label is assigned to the regions of interest. It is determined whether an assigned classification label is above a pre-determined threshold probability value of lymphocyte infiltrated.

Abstract: A system associated with quantifying a density level of tumor-infiltrating lymphocytes, based on prediction of reconstructed TIL information associated with tumoral tissue image data during pathology analysis of the tissue image data is disclosed. The system receives digitized diagnostic and stained whole-slide image data related to tissue of a particular type of tumoral data. Defined are regions of interest that represents a portion of, or a full image of the whole-slide image data. The image data is encoded into segmented data portions based on convolutional autoencoding of objects associated with the collection of image data. The density of tumor-infiltrating lymphocytes is determined of bounded segmented data portions for respective classification of the regions of interest. A classification label is assigned to the regions of interest. It is determined whether an assigned classification label is above a pre-determined threshold probability value of lymphocyte infiltrated.

Abstract: A manifold assembly is configured to calibrate and test one or more superheat controllers and includes a manifold frame, a manifold having a plurality of fluid conduits mounted to the manifold frame, and a plurality of superheat controller fittings mounted to the fluid conduits, each superheat controller fitting configured to have a superheat controller attached thereto.

Abstract: The disclosed computer-implemented method for protecting personally identifiable information during electronic data exchanges may include (i) receiving, from a computing device, an authentication token for a proposed electronic data exchange, (ii) preventing the user's personally identifiable information from entering the proposed electronic data exchange by identifying the user using the anonymized identifier rather than using the user's personally identifiable information, (iii) authenticating the user identified in the data exchange information, and (iv) in response to authenticating the user, authorizing completion of the proposed electronic data exchange. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A manifold assembly is configured to calibrate and test one or more superheat controllers and includes a manifold frame, a manifold having a plurality of fluid conduits mounted to the manifold frame, and a plurality of superheat controller fittings mounted to the fluid conduits, each superheat controller fitting configured to have a superheat controller attached thereto.

Abstract: A test equipment arrangement includes a superheat controller configured for connection to a unit under test, and further configured to test at least one operational parameter of the unit under test.

Abstract: A method of calibrating a plurality of superheat controllers includes attaching a plurality of superheat controllers to a manifold assembly, enclosing the manifold assembly within an environmental chamber, and simultaneously calibrating a pressure sensor within each of the plurality of superheat controllers.

Abstract: A test equipment arrangement includes a superheat controller configured for connection to a unit under test, and further configured to test at least one operational parameter of the unit under test.

Abstract: A system for controlling one or more structural appliances, such heating, cooling, and ventilation sensor systems utilizing cloud computing architecture, includes at least one intelligent controller, a local intelligent gateway in communication with the intelligent controller, and a cloud computing network in communication with the local intelligent gateway. A local device is operative to communicate through the cloud computing network to the intelligent controller.

Abstract: A system for controlling the flow of a fluid from a source to a load includes a source. An on/off type of control valve communicates with the source. A micro-electric mechanical system communicates with the on/off type of control valve. A consuming device communicates with the micro-electric mechanical system. An electronic controller that communicates with the consuming device and the source. The electronic controller measures a change in a parameter of the micro-electric mechanical system that results from the flow of fluid through the micro-electric mechanical system to sense a flow of fluid through a micro-electric mechanical system.

Abstract: A method performed by one or more processing devices includes retrieving data for a protein in a tissue type in a first state and for the protein in the tissue type in a second state; determining, based on the retrieved data, first features of the protein in the tissue type in the first state; determining, based on the retrieved, second features of the protein in the tissue type in the second state; and identifying, based on the first features and the second features, that a location of the protein in the tissue type in the first state differs from a location of the protein in the tissue type in the second state.

Abstract: A controller device and a method for controlling a system that utilizes an adaptive mechanism to self-learn the system characteristics and incorporates this adaptive self-learning ability to predict a control parameter correctly to provide precise control of a system component.

Abstract: A system for controlling the flow of a fluid from a source to a load includes a source. An on/off type of control valve communicates with the source. A micro-electric mechanical system communicates with the on/off type of control valve. A consuming device communicates with the micro-electric mechanical system. An electronic controller that communicates with the consuming device and the source. The electronic controller measures a change in a parameter of the micro-electric mechanical system that results from the flow of fluid through the micro-electric mechanical system to sense a flow of fluid through a micro-electric mechanical system.

Abstract: A system for controlling one or more structural appliances, such heating, cooling, and ventilation sensor systems utilizing cloud computing architecture, includes at least one intelligent controller, a local intelligent gateway in communication with the intelligent controller, and a cloud computing network in communication with the local intelligent gateway. A local device is operative to communicate through the cloud computing network to the intelligent controller.

Abstract: A method performed by one or more processing devices includes retrieving data for a protein in a tissue type in a first state and for the protein in the tissue type in a second state; determining, based on the retrieved data, first features of the protein in the tissue type in the first state; determining, based on the retrieved, second features of the protein in the tissue type in the second state; and identifying, based on the first features and the second features, that a location of the protein in the tissue type in the first state differs from a location of the protein in the tissue type in the second state.

Abstract: A method for forming a three-dimensional object having complex passages, comprising the steps of forming a plurality of interlockable sub-objects capable of being assembled together to form the three-dimensional object, each sub-object having a portion of the complex passages and each having at least one joining surface for attachment to an adjacent sub-object, the interfaces between the sub-objects being chosen such that each sub-object may be formed by a simple, inexpensive molding process, for example, by compression molding or injection molding; applying a suitable joining material to the joining surfaces; and assembling the sub-objects to form the three-dimensional object. In applications wherein the joining material is heat-curable, the method may include the additional step of heat-curing the assembly. The joining material may be identical or not with the sub-object forming material.