Abstract: The present disclosure relates to devices, apparatus and methods of improving the accuracy of an image-based assay. One aspect of the present invention is to sandwich a sample between two plates and add reference marks in the sample areas of the plates, with at least one of the geometric and/optical properties of the reference marks being predetermined and known, and taking images of the sample with the reference marks, and applying a machine learning model in the analysis of the image-based assay.

Abstract: The present disclosure provides a query method for a data table in a database, an apparatus, a computer device and a storage medium. The method includes: acquiring a data table query instruction, the data table query instruction is used to perform a Hash Join query operation on target join columns of a plurality of data tables in the database; constructing, in a build phase of the Hash Join, a hash data table according to tabular data corresponding to a target join column of a first data table among the plurality of data tables; determining, based on table statistical information of the hash data table, whether to construct a runtime filter for filtering a second data table in a probe phase of the Hash Join; and if so, determining a data query result with the constructed runtime filter based on the hash data table and the second data table.

Abstract: The compositions and methods described herein are directed to treating solid tumors using CAR T therapy. For example, the compositions include CAR T cells comprising an extracellular domain that binds OR2I1P, LY6G6D, LRRC15, LY6K, GCC, GFRA4, F2RL2, QRFPR, IQGAP3, SIGLEC15, HAVCR1, PSG9, KISS1R, PRAME, HCN4, DPEP3, TMEM270, HER2, SLC7A3, SPRR2F, SLC45A2, CHRM1, CHRNA2, STEAP1B, FCRL2, Luteinizing hormone receptor, EDB, or CLDN18.2.

Abstract: The present invention is related to the field of bio/chemical sampling, sensing, assays and applications. Particularly, the present invention is related to how to make the sampling/sensing/assay become simple to use, fast to results, highly sensitive, easy to use, using tiny sample volume (e.g., 0.5 ?L or less), operated by a person without any professionals, reading by mobile-phone, or low cost, or a combination of them.

Abstract: Disclosed are devices and methods for analyzing an analyte, such as white blood cells in liquid samples.

Abstract: A machine learning power consumption model and process are provided for determining power consumption of computing environment resources in handling requests of an application. The process includes training the machine learning power consumption model to estimate power consumption of computing environment resources in handling requests. The training uses a training dataset derived from historical request-related data, and the training dataset includes request-related data and resource power consumption data. In addition, the process includes analyzing the requests. The analyzing includes, for a particular request of the requests, obtaining a common pattern of resource use and collecting real-time trace metrics to facilitate allocating resource use to the particular request.

Abstract: The present invention is related to, among other things, the devices and methods that improve the accuracy and reliability of an assay, even when the assay device and/or the operation of the assay device has certain errors, and in some embodiments the errors are random.

Abstract: Disclosed is a cost-effective method to fabricate a multifunctional collimator structure for contact image sensors to filter ambient infrared light to reduce noises. In one embodiment, an optical collimator, includes: a dielectric layer; a substrate; a plurality of via holes; and a conductive layer, wherein the dielectric layer is formed over the substrate, wherein the plurality of via holes are configured as an array along a lateral direction of a first surface of the dielectric layer, wherein each of the plurality of via holes extends through the dielectric layer and the substrate from the first surface of the dielectric layer to a second surface of the substrate in a vertical direction, and wherein the conductive layer is formed over at least one of the following: the first surface of the first dielectric layer and a portion of sidewalls of each of the plurality of via holes, and wherein the conductive layer is configured so as to allow the optical collimator to filter light in a range of wavelengths.

Abstract: The present invention provides QMAX based devices, kits, and methods for rapid, easy to use, and/or inexpensive detection of assaying.

Abstract: Disclosed is an optical system for interrogating a sample, an optical system for measuring the spectrum of a beam of light, an optical system for measuring the spectrum of two beams of light, a compact imaging-based sensor or sensors, and combinations thereof.

Abstract: The present invention provides, among other things, the devices and methods that can rapidly change or cycle (i.e. heat and cool) a sample temperature with high speed, less heating energy, high energy efficiency, a compact and simplified apparatus (e.g. handheld), easy and fast operation, and/or low cost.

Abstract: The present invention provides devices, systems, and methods for rapid sample thermal cycle changes for the facilitation of reactions such as but not limited to PCR.

Abstract: The present disclosure relates to devices, apparatus and methods of improving the accuracy of image-based assay, that uses imaging system having uncertainties or deviations (imperfection) compared with an ideal imaging system. One aspect of the present invention is to add the monitoring marks on the sample holder, with at least one of their geometric and/optical properties of the monitoring marks under predetermined and known, and taking images of the sample with the monitoring marks, and train a machine learning model using the images with the monitoring mark.

Abstract: Among other things, the present invention is related to devices and methods of performing biological and chemical assays, such as but not limited to immunoassays and nucleic assay acid, particularly the homogeneous assay that does not use the step of wash and that is fast (e.g. 60 seconds from dropping a sample to displaying results).

Abstract: The disclosure relates to a device and method of using the device for performing biological and chemical assays that require an easy sample manipulation and/or a rapid change or a rapid thermal cycling of a sample temperature (e.g., Polymerase Chain Reaction (PCR) for amplifying nucleic acids). The device includes a first plate, a second plate, a plurality of spacers, and at least one clamp. The method includes obtaining the device, depositing a sample onto a sample contact area of at least one of the first and second plates of the device in an open configuration, closing the two plates into a closed configuration and placing the clamp in the active mode, and rapidly changing the temperature of the sample portion encircled by rings.

Abstract: Disclosed are a heat dissipation assembly and a control method therefor, an apparatus, a heat dissipator, and a communication device. The heat dissipation assembly may include: a vibration plate unit, provided with a vibration plate and at least one piezoelectric sheet connected to the vibration plate; and a drive unit, electrically connected to the vibration plate unit, and the drive unit is configured to: adjust, in response to meeting a trigger condition, a first driving frequency output to the piezoelectric sheet within a preset frequency range to obtain a plurality of corresponding first output currents, determine a target driving frequency based on the plurality of first output currents, and apply a driving voltage to the piezoelectric sheet based on the target driving frequency.

Abstract: Methods for generating automations via natural language processing are performed by computing systems. Natural language input is received from a user interface, and an automation workflow is generated based on the natural language input. The automation workflow includes steps to build an automation. One or more of the steps is provided to the user interface, and a first field and a second field that each correspond to the one or more steps are populated in the user interface. The first field is populated with a parameter value based on the natural language input, and the second field is populated based on the parameter value. The automation is then enabled to be built and deployed.

Abstract: Systems and methods for performing anomalous activity monitoring for a service provider network are disclosed. In response to receiving an activity log, a machine learning-based activity monitor may parse the activity log into segments, generate event objects from a segment of the activity log, encode the event objects, and then reconstruct the event objects based on decoding the encoded event objects. The encoding and decoding may be performed based on a model that was trained using training data with no known malicious activity. The event objects may comprise at least two or more event defining characteristics and an event count. By comparing the reconstructed event objects to corresponding initial versions of the event objects, the machine learning-activity monitor may determine an anomaly score and may provide an indication of events determined to be anomalous based on the score.

Abstract: Provided is a substrate supporting device, including a susceptor and a rotating tube. The susceptor is arranged in the process chamber of a substrate processing apparatus for supporting the substrate; the bottom surface of the susceptor is provided with a first limiting portion; the rotating tube, having a cylindrical structure, is arranged below the susceptor and supports the susceptor, the side wall of the rotating tube is provided with a second limiting portion corresponding to the first limiting portion in position, and relative movement between the rotating tube and the susceptor in the horizontal direction is limited when the two rotate through cooperation of the first limiting portion and the corresponding second limiting portion. The present invention also provides a substrate processing apparatus.

Abstract: This disclosure provides a query task execution method, apparatus, computer device, storage medium. The method includes: receiving a query task for a target data table; determining at least one candidate degree of parallelism for executing the query task based on a first number of child tables obtained by pre-partitioning the target data table; selecting a target degree of parallelism within a preset range of degrees of parallelism from the at least one candidate degree of parallelism; and determining required computing units according to the target degree of parallelism, and evenly allocating the child tables to the computing units which concurrently execute the query task based on the allocated child tables.