Abstract: Systems, computer program products, and methods are described herein for management of off-network remote access to prevent unauthorized access to sensitive data. The present disclosure is configured to receive an off-network remote access login associated with a user within a network; compare the off-network remote access login against a set of previous off-network remote access logins within a user action database using an advanced computational model for data analysis and automated decision-making; determine whether the login constitutes suspicious activity; trigger a set of remedial actions if the off-network remote access login constitutes suspicious activity; and incorporate the off-network remote access into the user action database.

Abstract: Provided herein are adeno-associated virus (AAV) compositions for correcting a mutation in a beta globin gene (HBB) gene and methods of using the same to correct an HBB gene mutation in a cell. Also provided are packaging systems for making the adeno-associated virus compositions.

Abstract: An amusement park attraction system including a ride vehicle comprising an input device, and a control system configured to determine a parameter value associated with a force imparted on the input device. The parameter value includes a value of the force imparted on the input device, a value of a deformation caused by the force imparted on the input device, or both. The control system is also configured to control movement of the ride vehicle of the amusement park attraction system based on the parameter value.

Abstract: Techniques performed by a data processing system for a machine learning driven teleprompter include displaying a teleprompter transcript associated with a presentation on a display of a computing device associated with a presenter; receiving audio content of the presentation including speech of the presenter in which the presenter is reading the teleprompter transcript; analyzing the audio content of the presentation using a first machine learning model to obtain a real-time textual translation of the audio content, the first machine learning model being a natural language processing model trained to receive audio content including speech and to translate the audio content into a textual representation of the speech; analyzing the real-time textual representation and the teleprompter transcript with a second machine learning model to obtain transcript position information; and automatically scrolling the teleprompter transcript on the display of the computing device based on the transcript position informatio

Abstract: The invention generally relates to detecting biological substances. In certain aspects, the invention is directed to a method directing one or more wavelengths of light within a deep ultraviolet (UV) spectrum into a medium to excite a biological substance in the medium, detect emission from the excited biological substance via a plurality of semiconductor photodetectors, and analyze the deep UV emission data for presence of a deep UV spectral signature indicative of the biological substance, wherein presence of the deep UV spectral signature indicates that the medium comprises a biological substance. The invention is also directed to identifying a pathogen in a medium comprising a pathogen and a non-pathogen biological substance.

Abstract: The invention generally relates to detecting an analyte in a medium. In certain aspects, the invention provides systems and methods for detecting an analyte in a medium comprising one or more light-emitting diodes, each operating at a single wavelength in a deep ultraviolet (UV) range for excitation of a target in a medium and a plurality of semiconductor photodetectors. The system is configured such that each semiconductor photodetector detects only a subset of emission from the excited analyte in the medium. In some examples, systems and methods of the invention comprise a light-emitting diode and a semiconductor photodetector for detection of the absence or presence of a non-specific contaminant.

Abstract: Techniques performed by a data processing system for a machine learning driven teleprompter include displaying a teleprompter transcript associated with a presentation on a display of a computing device associated with a presenter; receiving audio content of the presentation including speech of the presenter in which the presenter is reading the teleprompter transcript; analyzing the audio content of the presentation using a first machine learning model to obtain a real-time textual translation of the audio content, the first machine learning model being a natural language processing model trained to receive audio content including speech and to translate the audio content into a textual representation of the speech; analyzing the real-time textual representation and the teleprompter transcript with a second machine learning model to obtain transcript position information; and automatically scrolling the teleprompter transcript on the display of the computing device based on the transcript position informatio

Abstract: In various representative aspects, a fish tank or aquarium filter assembly system that utilizes a plurality of stacked and compressed disc filters with a plurality of cross-sectional grooves for filtering debris in the fish tank. The exemplary embodiment in this invention offers an improvement over existing systems and methods for among others for eliminating the need to use common fabrics such as socks as the filtering technique, and utilizing the pattern of grooves on the disc filters to be arranged in a pattern that filters debris in a more efficient manner than existing filters.

Abstract: Techniques performed by a data processing system for a machine learning driven teleprompter include displaying a teleprompter transcript associated with a presentation on a display of a computing device associated with a presenter; receiving audio content of the presentation including speech of the presenter in which the presenter is reading the teleprompter transcript; analyzing the audio content of the presentation using a first machine learning model to obtain a real-time textual translation of the audio content, the first machine learning model being a natural language processing model trained to receive audio content including speech and to translate the audio content into a textual representation of the speech; analyzing the real-time textual representation and the teleprompter transcript with a second machine learning model to obtain transcript position information; and automatically scrolling the teleprompter transcript on the display of the computing device based on the transcript position informatio

Abstract: A variable effect activation system includes one or more sensors that generate data. The data can be assessed to determine if the data is indicative of a valid input to an interactive effect. Valid inputs may be assessed based on a lenient or relatively non-stringent threshold to permit a wide variety of guest actions to be considered valid inputs. While many of these guest actions may not be recognized as part of preprogrammed interactions with an interactive environment, the system nonetheless assesses characteristics of these inputs to provide an appropriate response, e.g., via activation of an interactive effect in a manner that aligns with the characteristics.

Abstract: Systems and methods to reduce pour point (PP) temperatures of fat-based compositions for use in transportation fuels. In one or more embodiments, methods and systems reduce the pour point of rendered fats using biologically-derived plant oils for effectively transporting the blended fat based compositions over long distances, thereby advantageously decreasing the heating and mixing requirements needed to maintain the compositional temperature above the pour point. In certain embodiments, the fat based composition comprises rendered animal fats, such as tallow in combination with distilled corn oil (DCO).

Abstract: Systems and methods to reduce pour point (PP) temperatures of fat-based compositions for use in transportation fuels. In one or more embodiments, methods and systems reduce the pour point of rendered fats using biologically-derived plant oils for effectively transporting the blended fat based compositions over long distances, thereby advantageously decreasing the heating and mixing requirements needed to maintain the compositional temperature above the pour point. In certain embodiments, the fat based composition comprises rendered animal fats, such as tallow in combination with distilled corn oil (DCO).

Abstract: A variable effect activation system includes one or more sensors that generate data. The data can be assessed to determine if the data is indicative of a valid input to an interactive effect. Valid inputs may be assessed based on a lenient or relatively non-stringent threshold to permit a wide variety of guest actions to be considered valid inputs. While many of these guest actions may not be recognized as part of preprogrammed interactions with an interactive environment, the system nonetheless assesses characteristics of these inputs to provide an appropriate response, e.g., via activation of an interactive effect in a manner that aligns with the characteristics.

Abstract: Systems and methods to reduce pour point (PP) temperatures of fat-based compositions for use in transportation fuels. In one or more embodiments, methods and systems reduce the pour point of rendered fats using biologically-derived plant oils for effectively transporting the blended fat based compositions over long distances, thereby advantageously decreasing the heating and mixing requirements needed to maintain the compositional temperature above the pour point. In certain embodiments, the fat based composition comprises rendered animal fats, such as tallow in combination with distilled corn oil (DCO).

Abstract: An amusement park attraction system including a ride vehicle comprising an input device, and a control system configured to determine a parameter value associated with a force imparted on the input device. The parameter value includes a value of the force imparted on the input device, a value of a deformation caused by the force imparted on the input device, or both. The control system is also configured to control movement of the ride vehicle of the amusement park attraction system based on the parameter value.

Abstract: A method for distributed pod-editing may be performed by an enhanced pod editor, and may include the following steps: receiving a framework for a pod, wherein the framework identifies one or more content items already assigned to one or more slots in the pod by one or more pod editors; determining attributes of the content items already assigned to the pod in a native taxonomy of the enhanced pod editor; determining restrictions on the pod's slots based on the attributes of the content items already assigned to the pod and on the pod's editorial constraints; rejecting content items already assigned to the pod that violate the restrictions on the pod's slots (if any); identifying candidate content items that comply with the restrictions on the pod's unfilled slots (if any), and selecting candidate content items and assigning the selected content items to the pod's unfilled slots.

Abstract: A multimodal audio broadcast assembly for selectively enabling individual and group listening includes a pair of earbuds and a docking station. Each earbud is selectively engageable a respective ear of a user so that the earbud is removably engaged to the respective ear. The earbuds can receive wirelessly an audio signal from an electronic device and can broadcast the audio signal into the ears of the user. The docking station operationally engages the pair of earbuds so that the docking station is positioned to charge the pair of earbuds. The docking station also can receive the audio signal from the electronic device. A dock speaker is engaged to the docking station and is positioned to selectively broadcast the audio signal.

Abstract: Techniques performed by a data processing system for a machine learning driven teleprompter include displaying a teleprompter transcript associated with a presentation on a display of a computing device associated with a presenter; receiving audio content of the presentation including speech of the presenter in which the presenter is reading the teleprompter transcript; analyzing the audio content of the presentation using a first machine learning model to obtain a real-time textual translation of the audio content, the first machine learning model being a natural language processing model trained to receive audio content including speech and to translate the audio content into a textual representation of the speech; analyzing the real-time textual representation and the teleprompter transcript with a second machine learning model to obtain transcript position information; and automatically scrolling the teleprompter transcript on the display of the computing device based on the transcript position informatio

Abstract: The invention generally relates to detecting an analyte in a medium. In certain aspects, the invention provides systems and methods for detecting an analyte in a medium comprising one or more light-emitting diodes, each operating at a single wavelength in a deep ultraviolet (UV) range for excitation of a target in a medium and a plurality of semiconductor photodetectors. The system is onfigured such that each semiconductor photodetector detects only a subset of emission from the excited analyte in the medium. In some examples, systems and methods of the invention comprise a light-emitting diode and a semiconductor photodetector for detection of the absence or presence of a non-specific contaminant.