Abstract: Provided herein are genetically modified yeast cells that recombinantly express a glycosidase enzyme. Provided herein are genetically modified yeast cells that recombinantly express a glycosidase enzyme and/or an O-methyltransferase enzyme. Also provided are methods of producing fermented beverages and compositions comprising ethanol using the genetically modified yeast cells described herein.

Abstract: An article includes an optical transforming layer and a guide region positioned inside and adjacent to at least a portion of a perimeter of the optical transforming layer. The guide region comprises an inlet end positioned adjacent to a first surface of the optical transforming layer and an outlet end positioned adjacent a second surface of the optical transforming layer. The guide region propagates light from the inlet end to the outlet end such that the light is directed from the first surface to the second surface. The guide region includes a phase-separated glass comprising a continuous network phase and a discontinuous phase. A relative difference in index of refraction between the continuous network phase and the discontinuous phase is greater than or equal to 0.3%. The discontinuous phase comprises elongated shaped regions aligned along a common axis and having an aspect ratio greater than or equal to 10:1.

Abstract: The present disclosure provides methods for treating hematological malignancies and Ewing's sarcoma using menin inhibitors. Compositions for use in these methods are also provided.

Abstract: This application provides a zoom assembly, including a first refraction component and a first lens apparatus. The first refraction component is configured to change a transmission path of light, and the first refraction component includes a first surface, a second surface, a third surface, and a first reflection structure. The three surfaces of the first refraction component are all transmission surfaces. An optical axis of the first lens apparatus is perpendicular to the second surface of the first refraction component. The first reflection structure is attached to the third surface, and is configured to receive light transmitted by one of the transmission surfaces and reflect the light to another transmission surface.

Abstract: Systems, devices and methods are provided for building learning machines using learning machines. The system generally includes a reference learning machine, a target learning machine being built, a component analyzer module configured to analyze inputs from the reference learning machine, the target learning machine, a set of test signals, and a list of components in the reference learning machine and the target learning machine, and return a set of output values for each component on the list of components. The system further includes a component tuner module configured to modify different components in the target learning machine based on the set of output values and a component mapping, thereby resulting in a tuned learning machine.

Abstract: Systems, devices and methods are provided for building learning machines using learning machines. The system generally includes a reference learning machine, a target learning machine being built, a component analyzer module configured to analyze inputs from the reference learning machine, the target learning machine, a set of test signals, and a list of components in the reference learning machine and the target learning machine, and return a set of output values for each component on the list of components. The system further includes a component tuner module configured to modify different components in the target learning machine based on the set of output values and a component mapping, thereby resulting in a tuned learning machine.

Abstract: Systems, devices and methods are provided for building learning machines using learning machines. The system generally includes a reference learning machine, a target learning machine being built, a component analyzer module configured to analyze inputs from the reference learning machine, the target learning machine, a set of test signals, and a list of components in the reference learning machine and the target learning machine, and return a set of output values for each component on the list of components. The system further includes a component tuner module configured to modify different components in the target learning machine based on the set of output values and a component mapping, thereby resulting in a tuned learning machine.

Abstract: Described are methods and apparatuses, including computer program products, for quality control of investment performance calculations. Performance data associated with one or more investment accounts is received by a server computing device. A tolerance range associated with the performance data is generated. A portion of the performance data is identified for filtering based on the tolerance range. The identified performance data is processed through a plurality of filters, wherein the filters are based on predefined rules. A first portion of the filtered data is marked as requiring no further review. A second portion of the filtered data is marked as requiring further review.

Abstract: The invention discloses a system for enterprise service flows. The system comprises a database, a user interface and a processing module. The database records a plurality of enterprise resources and a plurality of service flow programs, in addition, the service flow programs correlate with at least one of the plurality of enterprise resources. The user interface is used for a user to select at least one enterprise resource; the processing module further comprises a flow management unit. The processing module performs correlative link based on the selected enterprise resource, the flow management unit of the processing module arranges the combination of the plurality of enterprise resources in correspondence to the plurality of service flow programs. Consequently, an enterprise is able to dynamically increase its entire competitiveness based on its service flows required.

Abstract: The present invention discloses a process-controlled enterprise resource planning system (herein referred to as a PERP) that features an operational interface allows an operator to operate a required process in at least one start process interface or a start enterprise resource management interface. If the operator selects the start process interface, a process processing unit controls successive operational actions required the operator to operate the operational interface according to an event control process or the process-step control information corresponding to the start process interface. If the operator selects the enterprise resource management interface, an enterprise resource management processing unit controls management and process of the enterprise resource database according to the process-step control information corresponding to the start enterprise resource management interface. Thereupon, operational mistakes can be prevented and time-consumption for training the operator can be reduced.

Abstract: A program distribution system includes a plurality of set-top boxes that receive broadcast programming and segmentation data from content and information providers. The segmentation information indicates portions of programs that are to be included in skimmed or condensed versions of the received programming, and is produced using manual or automated methods. Automated methods include the use of ancillary production data to detect the most important parts of a program. A user interface allows a user to control time scale modification and skimming during playback, and also allows the user to easily browse to different points within the current program.