Abstract: A transition duct assembly includes a shared connector, and a plurality of primary cooling pathways for cooling one or more systems or components. Each primary cooling pathway includes a transition duct in fluid communication with the shared connector, and a transition connector in fluid communication with the transition duct.

Abstract: Compositions and methods for treating macular degeneration and other forms of retinal disease whose etiology involves the accumulation of A2E and/or lipofuscin, and, more specifically, for preventing the formation and/or accumulation of A2E are disclosed

Abstract: Embodiments are directed to a rotorcraft comprising an airframe having an engine compartment, an engine disposed within the engine compartment, at least one fire bottle configured to hold a fire extinguishing agent, at least one agent tube coupled to the fire bottle and configured to carry the fire extinguishing agent to the engine compartment, and a nozzle on the at least one agent tube, the nozzle positioned below the engine and oriented in a upward-facing direction. The nozzle has at least one opening that is closed by a spring-loaded valve.

Abstract: Aspects of the disclosure relate to detecting and identifying malicious sites using machine learning. A computing platform may receive a uniform resource locator (URL). The computing platform may parse and/or tokenize the URL to reduce the URL into a plurality of components. The computing platform may identify human-engineered features of the URL. The computing platform may compute a vector representation of the URL to identify deep learned features of the URL. The computing platform may concatenate the human-engineered features of the URL to the deep learned features of the URL, resulting in a concatenated vector representation. By inputting the concatenated vector representation of the URL to a URL classifier, the computing platform may compute a phish classification score. In response to determining that the phish classification score exceeds a first phish classification threshold, the computing platform may cause a cybersecurity server to perform a first action.

Abstract: The present invention is directed to topical ophthalmic compositions of a lipophilic compound and an oligomeric or polymeric carrier wherein the compositions are useful in the treatment and prevention of macular degeneration. The invention also includes methods of treating macular degeneration by using a topical ophthalmic composition of a lipophilic compound and an oligomeric or polymeric carrier.

Abstract: A cable distribution system includes a head end connected to a plurality of customer devices through a transmission network that includes a first remote physical device, where the first remote physical device includes remote physical layer processing, that converts digital data to analog data suitable for the plurality of customer devices, where the head end includes at least one server each of which includes a respective processor.

Abstract: An air interface plane (AIP) of a radio frequency (RF) aperture includes: a circuit board having a first side and a second side opposite the first side; and a matrix of tapered elements arranged on the first side of the circuit board and secured to the circuit board, the matrix of tapered elements cooperating to at least one of receive or transmit an over-the-air RF signal. Suitably, each tapered element of the matrix has: a central hub extending along a longitudinal axis from a hub base which is proximate to the first side of the circuit board to an apex of the tapered element which is distal from the first side of the first circuit board; and a plurality of arms extending from the central hub at the apex of the tapered element, each of the plurality of arms including a first portion that projects the arm radially away from the longitudinal axis and a second portion that projects the arm longitudinally toward the first side of the circuit board.

Abstract: A tray for a vaporization vessel that includes a tray having a side wall, a bottom plate, one or more apertures that extend through the bottom plate, and a duct that extends through and from the bottom plate. The tray configured to support a solid reagent to be vaporized. A method of assembling the tray that includes forming a first tray that has the side wall and the bottom plate. A vaporization vessel that includes one or more of the trays.

Abstract: Aspects of the disclosure relate to detecting and identifying malicious sites using machine learning. A computing platform may receive a uniform resource locator (URL). The computing platform may parse and/or tokenize the URL to reduce the URL into a plurality of components. The computing platform may identify human-engineered features of the URL. The computing platform may compute a vector representation of the URL to identify deep learned features of the URL. The computing platform may concatenate the human-engineered features of the URL to the deep learned features of the URL, resulting in a concatenated vector representation. By inputting the concatenated vector representation of the URL to a URL classifier, the computing platform may compute a phish classification score. In response to determining that the phish classification score exceeds a first phish classification threshold, the computing platform may cause a cybersecurity server to perform a first action.

Abstract: Aspects of the disclosure relate to detecting and identifying malicious sites using machine learning. A computing platform may receive image data of a graphical rendering of a resource available at a uniform resource locator (URL). The computing platform may compute a computer vision vector representation of the image data. The computing platform may compare the computer vision vector representation of the image data to stored numeric vectors representing page elements, resulting in a feature indicating whether the computer vision vector representation of the image data is visually similar to a known page element, and may input the feature to a classifier. The computing platform may receive, from the classifier, a phish classification score indicating a likelihood that the URL is malicious. In response to determining that the phish classification score exceeds a first phish classification threshold, the computing platform may cause a cybersecurity server to perform a first action.

Abstract: Aspects of the disclosure relate to detecting and identifying malicious sites using machine learning. A computing platform may receive image data of a graphical rendering of a resource available at a uniform resource locator (URL). The computing platform may compute a computer vision vector representation of the image data. The computing platform may compare the computer vision vector representation of the image data to stored numeric vectors representing page elements, resulting in a feature indicating whether the computer vision vector representation of the image data is visually similar to a known page element, and may input the feature to a classifier. The computing platform may receive, from the classifier, a phish classification score indicating a likelihood that the URL is malicious. In response to determining that the phish classification score exceeds a first phish classification threshold, the computing platform may cause a cybersecurity server to perform a first action.

Abstract: Compositions and methods for treating macular degeneration and other forms of retinal disease whose etiology involves the accumulation of A2E and/or lipofuscin, and, more specifically, for preventing the formation and/or accumulation of A2E are disclosed.

Abstract: Aspects of the disclosure relate to detecting and identifying malicious sites using machine learning. A computing platform may receive a uniform resource locator (URL). The computing platform may parse and/or tokenize the URL to reduce the URL into a plurality of components. The computing platform may identify human-engineered features of the URL. The computing platform may compute a vector representation of the URL to identify deep learned features of the URL. The computing platform may concatenate the human-engineered features of the URL to the deep learned features of the URL, resulting in a concatenated vector representation. By inputting the concatenated vector representation of the URL to a URL classifier, the computing platform may compute a phish classification score. In response to determining that the phish classification score exceeds a first phish classification threshold, the computing platform may cause a cybersecurity server to perform a first action.

Abstract: Aspects of the disclosure relate to detecting and identifying malicious sites using machine learning. A computing platform may receive a uniform resource locator (URL). The computing platform may parse and/or tokenize the URL to reduce the URL into a plurality of components. The computing platform may identify human-engineered features of the URL. The computing platform may compute a vector representation of the URL to identify deep learned features of the URL. The computing platform may concatenate the human-engineered features of the URL to the deep learned features of the URL, resulting in a concatenated vector representation. By inputting the concatenated vector representation of the URL to a URL classifier, the computing platform may compute a phish classification score. In response to determining that the phish classification score exceeds a first phish classification threshold, the computing platform may cause a cybersecurity server to perform a first action.

Abstract: Compositions and methods for treating macular degeneration and other forms of retinal disease whose etiology involves the accumulation of A2E and/or lipofuscin, and, more specifically, for preventing the formation and/or accumulation of A2E are disclosed.

Abstract: Compositions and methods for treating macular degeneration and other forms of retinal disease whose etiology involves the accumulation of A2E and/or lipofuscin, and, more specifically, for preventing the formation and/or accumulation of A2E are disclosed.

Abstract: A ground cable may comprise a plurality of strands. Inner core strands of the cable may be surrounded by an adjacent outermost layer or wrap of outer wrap strands. The outer wrap of strands may comprise at least one indicator strand, which may comprise an indicator finish on a portion of its surface. A characteristic of the indicator finish may change when exposed to a current level that exceeds an electrical fault threshold.

Abstract: Compositions and methods for treating macular degeneration and other forms of retinal disease whose etiology involves the accumulation of A2E and/or lipofuscin, and, more specifically, for preventing the formation and/or accumulation of A2E are disclosed

Abstract: Aspects of the disclosure relate to detecting and identifying malicious sites using machine learning. A computing platform may receive a uniform resource locator (URL). The computing platform may parse and/or tokenize the URL to reduce the URL into a plurality of components. The computing platform may identify human-engineered features of the URL. The computing platform may compute a vector representation of the URL to identify deep learned features of the URL. The computing platform may concatenate the human-engineered features of the URL to the deep learned features of the URL, resulting in a concatenated vector representation. By inputting the concatenated vector representation of the URL to a URL classifier, the computing platform may compute a phish classification score. In response to determining that the phish classification score exceeds a first phish classification threshold, the computing platform may cause a cybersecurity server to perform a first action.

Abstract: Aspects of the disclosure relate to detecting and identifying malicious sites using machine learning. A computing platform may receive image data of a graphical rendering of a resource available at a uniform resource locator (URL). The computing platform may compute a computer vision vector representation of the image data. The computing platform may compare the computer vision vector representation of the image data to stored numeric vectors representing page elements, resulting in a feature indicating whether the computer vision vector representation of the image data is visually similar to a known page element, and may input the feature to a classifier. The computing platform may receive, from the classifier, a phish classification score indicating a likelihood that the URL is malicious. In response to determining that the phish classification score exceeds a first phish classification threshold, the computing platform may cause a cybersecurity server to perform a first action.