Abstract: RNA-targeting Cas12a2 complex allows for rationale design of Cas12a2 into a versatile enzyme capable of non-specifically degrading distinct types of nucleic acid targets depending on mutations of the active site residues and residues that stabilize bound targets. These mutations allow for tuning of output signal associated with RNA detection. By mutating specific residues, indiscriminate single-stranded RNase and DNase and double-stranded DNase activity can be modified to only cleave single-stranded DNA and single-stranded RNA, or only single-stranded DNA. This allows for diagnostic tools which can provide a detection. Residues involved in binding the non-self vs. self-recognition signal (PFS) can also be modified so larger subsets of nucleic acid targets can be recognized.

Abstract: An installation tool, which is for connecting an irrigation guide to a dental implant surgical template, includes a receptacle having a first opening, a handle frangibly connected to the receptacle, a threaded projection having a second opening and extending axially from the receptacle, and a passageway extending between the first opening of the receptacle and the second opening of the threaded projection. The threaded projection may be configured to threadably engage an irrigation passage in the dental implant surgical template. The passageway may include a first interface surface that is configured to engage a second interface surface of the irrigation guide to frictionally secure the irrigation guide within the passageway.

Abstract: A filtration assembly includes a modular frame and an array of particulate separation elements for removing particulates from air. The frame defines a plurality of sockets and including a particulate tray. Each particulate separation element of the array of particulate separation elements is disposed within a respective socket of the plurality of sockets and defines an inlet of the filtration assembly. The modular frame is operable to be selectively modified to change the number of particulate separation elements received within the frame.

Abstract: An irrigation guide for providing irrigation to the site of an osteotomy procedure. The irrigation guide includes an insertion end for insertion into an irrigation passage provided in a surgical template for guiding an osteotomy drill. The irrigation passage communicates with a guide chamber defined by the surgical template and surrounding the osteotomy site. The irrigation guide also includes a coupling end configured for connection with a source of irrigation fluid. The insertion end and the coupling end may be angled relative to one another. The insertion end of the irrigation guide may be inserted into and secured to the irrigation passage such that the irrigation guide provides a fluid communication pathway between the source of irrigation fluid and the guide chamber. The irrigation guide may be included in kits that include the surgical template and/or a drill bit configured to form the irrigation passage in the surgical template.

Abstract: The present invention relates to methods for RNA-directed cleaving of a nucleic acid molecule selected from dsDNA, ssDNA, and RNA based on a complex comprising a Cas? nuclease and at least one pre-selected guide RNA designed for binding to at least one target RNA. Further provided is the complex of the present invention bound to a target RNA molecule, as well as respective systems for cleaving of a nucleic acid molecule, and diagnostic and therapeutic uses thereof.

Abstract: The exemplary embodiments disclose a method, a computer program product, and a computer system for allocating computing resources. The exemplary embodiments may include collecting data of one or more users, wherein the collected data comprises calendar data of the one or more users, extracting one or more features from the collected data, and allocating one or more computing resources to one or more of the users based on the extracted one or more features and one or more models.

Abstract: The present specification describes a computer-implemented method. According to the method, a request is received to execute a computing task. The request includes parameters for the computing task. A processor identifies, based on the parameters for the computing task and from a pool of registered nodes, a set of assigned nodes amongst which the computing task is to be distributed. A computing assignment of the computing task is transmitted to a secure and isolated container on each of the assigned nodes. A completed computing assignment is received from each of the assigned nodes and the completed computing task is assembled and distributed to a requesting device.

Abstract: The exemplary embodiments disclose a method, a computer program product, and a computer system for allocating computing resources. The exemplary embodiments may include collecting data of one or more users, wherein the collected data comprises calendar data of the one or more users, extracting one or more features from the collected data, and allocating one or more computing resources to one or more of the users based on the extracted one or more features and one or more models.

Abstract: The present invention relates to methods for RNA-directed cleaving of a nucleic acid molecule selected from dsDNA, ssDNA, and RNA based on a complex comprising a Cas?nuclease and at least one pre-selected guide RNA designed for binding to at least one target RNA. Further provided is the complex of the present invention bound to a target RNA molecule, as well as respective systems for cleaving of a nucleic acid molecule, and diagnostic and therapeutic uses thereof.

Abstract: A method of verifying an unverified token received may include accessing an external data store to receive data vectors that may be associated with a user of the client device; filtering data vectors that are not input data vectors; grouping data vectors into first groups based on a text field in each of the data vectors; selecting second groups from the first groups where each of the second groups include data vectors with a similar value field; selecting third groups from the second groups where each of the third groups includes data vectors with a similar input interval; for each of the third groups, determining a group value based on the value fields and input intervals; calculating an estimated token based on the group values for each of the third groups; and determining whether the unverified token can be verified by the estimated token.