Abstract: A plurality of road-to-traveler feedback (“RTF”) devices integrated with a plurality of electronic computing devices transmits location data to a server. The server transmits to the RTF devices traffic signal timing data based on the location data. RTF devices present suggested velocities based on the traffic signal timing data, such that if a traveler conformed to the suggested velocities and other travel-related data, the traveler would position himself into a geographic region on a roadway in which the traveler is ensured to avoid red lights and other traffic impediments. The server is operatively connected to traffic controllers and receives traffic light state data. The server facilitates a plurality of geographic regions based at least on the traffic light state data and detected travelers on roadways, wherein each of the geographic regions are synchronized to allow continuous traffic flow for the travelers positioned therein.

Abstract: A computer-implemented method of detecting one or more objects in a driving environment located externally to a vehicle, and a vehicle imaging system configured to detect one or more objects. The computer-implemented method includes training a first neural network to detect objects in a color video stream, the first neural network having a plurality of mid-level color features at a plurality of scales, and training a second neural network, operatively coupled to color neural network and an infrared video stream, to match, at the plurality of scales, mid-level infrared features of the second neural network to mid-level color features of the first neural network. A pixel-level invisibility map is then generated from the color video stream and the infrared video stream by determining differences, at each of the plurality of scales, between mid-level color features at the first neural network and mid-level infrared features at the second infrared neural network, and coupling the result to a fusing function.

Abstract: A dynamically deployable, low visibility pneumatic cofferdam for flood mitigation is disclosed. The cofferdam includes a first planar component, a second planar component, an inflatable hermetic airbag sandwiched therebetween, and connection members attached to the first planar component, a second planar component to form a cofferdam unit. The connection members are adjustable to apply and maintain a desired amount of pressure on the airbag to enable a watertight seal to be formed. The cofferdam units may be sized and designed to sealingly mate adjacent cofferdam units in a variety of configurations to form watertight seals. The cofferdam units may also be sized and designed to attach to seawalls, flood walls, sidewalks, or other infrastructure. When in a deployed state, the height of the cofferdam may be adjusted to a desired height to provide flood mitigation. When in an undeployed state, the cofferdam remains in a substantially flat and unobtrusive position.

Abstract: Embodiments relate to a method comprising (a) expressing a vector comprising a PSGL-1 (P-selectin glycoprotein ligand-1) or a mutant thereof in a VPC (virus producing cell); and blocking a virus infection by inactivating an infectivity of a released virions from the VPC; or (b) expressing a glycoprotein or a mutant thereof in the VPC; blocking the virus infection by preventing binding of the released virions to a target cell; inactivating infectivity of the released virions; and targeting a viral infection. Other embodiments relate to (1) a broad-spectrum anti-viral product comprising: a vector expressing a glycoprotein or a mutant thereof in a VPC; and blocking a virus infection by inactivating infectivity of a released virion from the VPC; and (2) a vaccine comprising a viral particle is configured to a live attenuated or an inactivated or a non-infectious, wherein the viral particle are produced in a VPC.

Abstract: A method, system and apparatus provides detection of malicious network traffic by analyzing, via a trained machine learning model, at least timing and flow duration features of extracted from monitored network traffic, the at least timing and flow duration features independent of content of the monitored network traffic; and predicting, via the trained machine learning model, from the analyzed at least timing and flow duration features that a cyber-attack has occurred or is occurring.

Abstract: A method and system disable executable script in requested displayable content. Responsive to requesting displayable content, a non-executable code sequence and a mis-matched font file that maps a plurality of characters of the requested displayable content to the non-executable code sequence is received. The non-executable code sequence is displayed as a text string in accordance with the received mis-matched font file.

Abstract: A method, system and apparatus provides network communication between a sender and a receiver in a communication network. At a sender side of the network communication a ciphertext is encoded into a stegotext in a target language using a randomized language model, the ciphertext based upon an original content in a source language. The stegotext randomly generated by the language model to be decoupled from the original content and to have an assigned context in the target language that corresponds to the network communication in the target language. The stegotext is transmitted to a receiver over multiple communication channels of a communication network using one or more applications on an application layer of the communication network.

Abstract: Technologies are provided for generation of exertion-aware paths. Some embodiments include a computing system that can generate a path based at least on first data defining a terrain, second data defining a target level of total work, and third data defining a target level of perceived difficulty. The computing system also can generate a road surface along the path. Generating the road includes embedding metadata defining position-dependent resistance forces based on a physics model, the metadata controlling force feedback at virtual-reality equipment. The computing system also can supply the road surface to the virtual-reality equipment.

Abstract: Molecularly imprinted particles comprising a label are described herein, in particular such particles prepared by RAFT polymerization, as are compositions and kits comprising such particles, and methods for preparing and using such particles.

Abstract: Methods of treating or preventing cancer, diabetes, and/or obesity in a subject are provided. The methods comprise administering to a subject a therapeutically effective amount of an SLC25A1 inhibitor as described herein. Also provided herein are pharmaceutical compositions comprising an SLC25A1 inhibitor and a chemotherapeutic agent. Further provided herein are methods of inhibiting SLC25A1 in a cell.

Abstract: A method and system provide and utilize obfuscated fonts for displayable content. Responsive to a request for displayable content having text, a text portion of the requested displayable content to be obfuscated is determined. For that text portion, obfuscated fonts are provided, by retrieving obfuscated fonts or by generating obfuscated fonts from a set of obfuscated glyphs created from a plurality of glyphs representative of a plurality of characters of the text portion of the displayable content. The obfuscated fonts can be created by assigning obfuscated glyphs of the set into the obfuscated fonts in accordance with one or more messages. The obfuscated fonts are mapped by assigning a value to each obfuscated glyph in the set that is different from an original value of the glyph.

Abstract: A method and apparatus for intrusion detection includes generating graph data from a sequence of messages in a communication network. The graph data denotes a node for each message identifier in the sequence of messages and an edge for each pair of consecutive message identifiers. Pair counts are generated for edges in the graph data as a number of times the associated pair of consecutive message identifiers occurs in the sequence. Input feature vectors are generated for nodes in the graph data. The vectors include data content of messages associated with the node and a pair count for each edge connected to the node. The input feature vectors are processed through a first graph neural network, based on the graph data, and then through one or more layers of a classifier to classify the sequence of messages as containing an anomaly or not.

Abstract: Devices for generating electrical energy along with methods of fabrication and methods of use are disclosed. An example device can comprise one or more layers of a transition metal dichalcogenide material. An example device can comprise a mechano-electric generator. Another example device can comprise a thermoelectric generator.

Abstract: Tacrolimus is an immunosuppressant drug. The present disclosure provides an anti-fibrotic agent by transforming Tacrolimus, such that the anti-fibrotic agent is used for treating fibrosis. The anti-fibrotic agent is not immunosuppressant. In one embodiment, the present invention provides a method to transform Tacrolimus into an anti-fibrotic agent.

Abstract: The present disclosure describes methods for determining the functional consequences of mutations. The methods include the use of machine learning to identify and quantify features of all atom molecular dynamics simulations to obtain the disruptive severity of genetic variants on molecular function.

Abstract: Methods and systems for recovery-adaptive biobehavioral-regulation treatments for relapse. In various embodiments, a user wears a sensor that collects biobehavioral data regarding the user and is operatively connected to an electronic computing device associated with the user. Generally, the disclosed system monitors the collected biobehavioral data to mitigate relapse of a previous disease and/or disorder (e.g., addiction, depression, post-traumatic stress disorder, etc.) by presenting personalized recovery cues (e.g., images, videos, etc.) to the user when the user is experiencing stimuli that increase the risk of relapse. In addition, the user has the ability to modulate the implicated brain structure image interactively on the smartphone interface (e.g., changing the size, texture, color, image), in order to change its functionality in real-time and improve in-the-moment emotional regulation.

Abstract: An embodiment relates to a method, comprising: obtaining a biological sample, performing a protein complex immunoprecipitation (Co-IP) on the sample, performing a reverse phase protein array (RPPA) on the sample after performing the protein complex immunoprecipitation, and identifying one or more protein complexes. A further embodiment relates to a method of treatment, comprising: obtaining a tissue sample from a patient, performing Co-IP then RPPA on the sample, identifying a protein complex, determining whether the protein complex comprises known protein drug targets, and treating the patient with a drug that interacts with the known protein drug targets.

Abstract: The present invention provides modified alphaviruses and compositions, methods, and kits for preparing and using them to elicit an immune response to an alphavirus in a subject.

Abstract: A system for autonomous control in power systems is disclosed. In particular, a secure overlay communication model (“SOCOM”) is disclosed, the system including a combination of hardware and software for detecting power grid states, and determining appropriate actions for addressing detected states. The SOCOM is a logic-based system deployed onto computing devices such as field programmable gate arrays installed at bus controllers, Supervisory Control and Data Acquisition Systems (“SCADAs”), Intelligent Electronic Devices (“IEDs”), or other computing devices in power grid stations and substations. The logic-based nature of the SOCOM allows for seamless integration with preexisting power system equipment. In response to detecting various power grid faults such as line failures and over-current states, the system automatically rearranges power line configurations at the power stations and/or substations.

Abstract: Embodiments relate to methods comprising expressing or overexpressing P-selectin glycoprotein ligand-1 (PSGL-1) in human immunodeficiency virus (HIV) producing cells; isolating HIV particles from the HIV producing cells; and preparing the isolated HIV particles as a HIV vaccine. Embodiments relate to systems comprising a HIV vaccine comprising live attenuated, inactivated, or non-infectious HIV particles. Embodiments relate to systems capable of performing a method comprising administering a vaccine comprising live attenuated, inactivated, or non-infectious HIV particles to a subject in need of the vaccine; and treating or preventing one or more disease states in the subject resulting from HIV infection.