Abstract: Provided herein are compositions, systems, kits, and methods for treating a subject with a disease or condition by administering a composition comprising fullerenes to the subject such that H2S is generated in said subject. In certain embodiments, the disease or condition is associated with inflammation and/or below normal H2S levels. In certain embodiments, the fullerenes are polyhydroxy fullerenes (PHFs).

Abstract: Sunscreen compositions comprising a dermatologically acceptable carrier and a polyhydroxy fullerene compound are described. The sunscreen compositions can be used to protect a substrate such as the skin of a subject from the effects of ultraviolet radiation.

Abstract: The present application provides methods of treating urticaria in a patient in need thereof, comprising administering to the patient a therapeutically effective amount of a compound which inhibits JAK1, or a pharmaceutically acceptable salt thereof.

Abstract: Embodiments of the present disclosure relate to systems, methods, and user interfaces for optimizing resource allocation for an organization. More particularly, embodiments of the present disclosure utilize multiple data sets to enable organizations to make intuitive business decisions and plan resources accordingly. To do so, various data is collected at a resource engine that utilizes the data to determine resource utilization, occupancy density, and a recommendation. In various embodiments, the resource utilization, occupancy density, and a recommendation may be provided to a user as an alert, a report, or a user interface. The user interface may additionally enable the user to apply the recommendation. In some embodiments, the recommendation may be automatically applied or the user may be directed to perform the recommendation. The alert, report, or user interface may additionally inform the user of the impact of performing or not performing the recommendation.

Abstract: The present disclosure relates to methods and systems for protecting cloud resources. The methods and systems may use a virtual gatekeeper resource to enforce secure access controls to cloud resources for a list of privileged operations. The cloud resources and the virtual gatekeeper resource may be in different security domains within a cloud computing system and the cloud resources may be linked to the virtual gatekeeper resource. A request may be sent to perform a privileged operation on the cloud resource. Access may be provided to the virtual gatekeeper resource in response to approval of the request and the access to the virtual gatekeeper resource may be used to perform the privileged operation on the cloud resource.

Abstract: Embodiments of the present disclosure relate to systems, methods, and user interfaces for optimizing resource allocation for an organization. More particularly, embodiments of the present disclosure utilize multiple data sets to enable organizations to make intuitive business decisions and plan resources accordingly. To do so, various data is collected at a resource engine that utilizes the data to determine resource utilization, occupancy density, and a recommendation. In various embodiments, the resource utilization, occupancy density, and a recommendation may be provided to a user as an alert, a report, or a user interface. The user interface may additionally enable the user to apply the recommendation. In some embodiments, the recommendation may be automatically applied or the user may be directed to perform the recommendation. The alert, report, or user interface may additionally inform the user of the impact of performing or not performing the recommendation.

Abstract: The present disclosure is directed to systems and methods for wear prediction of an undercarriage of a target machine. The method includes (1) receiving wear measurements from a plurality of source machines, and the wear measurements are associated with a first set of components of undercarriages of the plurality of source machines; (2) establishing a statistical model based on the received wear measurements and physic-based features derived from the wear measurements; (3) determining coefficients for the statistical model at least partially based on inspection data of a second set of components of the undercarriage of the target machine; and (4) predicting a wear condition of the undercarriage of the target machine by the statistical model and the coefficients.

Abstract: An adjustable side mirror assembly for a vehicle is mountable in more than one location relative to the position of a driver of the vehicle includes an arm connectable to the vehicle at a first end and a mirror head assembly connected to a second end of the arm. The mirror head assembly includes a mirror connector configured to connect to a first mirror and a shell that envelops the mirror connector. A first mount is provided to connect the arm to the mirror head assembly in a first installation position, and a second mount is provided to connect the arm to the mirror head assembly in a second installation position.

Abstract: Methods, computer systems, and computer storage media are provided that provide an interactive web-based alerts system. The system provides a combination of features including a mail application and a dashboard for reporting. Initially, automated emails sent from a plurality of sources are received and stored in a database. The automated emails are classified based on criteria including source, subject line, acknowledgement, and/or status. Using these classifications, various reports can be generated to provide insight into the alert quality and quantity. A dashboard interface displays the classified alerts and enables various interactions with the classified plurality of alerts. Based on the interactions, the dashboard interface is automatically updated, in real-time. In some embodiments, the interactions comprise causing an incident to be created for the alert, causing a category of the alert to be updated, or causing a shift report to be generated.

Abstract: A processor may receive DNA data associated with a DNA sequence. The processor may classify the DNA sequence as exhibiting circadian behavior utilizing a graph deep learning algorithm. The graph deep learning algorithm may be trained utilizing a combination of features of a human interactome, features of DNA sequences associated with genes identified as exhibiting circadian behavior, and features of DNA sequences associated with genes identified as not exhibiting circadian behavior.

Abstract: Described embodiments generally relate to a communications system comprising a first message broker configured to receive a request message from a messaging application executed by a customer computing device, the first message broker being a universal message broker adapted to receive messages from a plurality of different messaging applications; a message processing module configured to receive the request message from the first message broker and to interpret the request message to determine a sub-system of a vendor computing system to which the request message is directed; a first formatter configured to receive the request message from the message processing module, and to format the request message to match the format expected by the determined sub-system; and a second message broker configured to receive the formatted message from the first formatter and to send the formatted message to the determined sub-system.

Abstract: Methods, computer systems, and computer-storage medium are provided for monitoring, analyzing, and providing reports regarding direct access technologies, for example DirectAccess, VPN, or VPN-like technologies. User activity associated with DirectAccess servers can be filtered by server location to allow administrators to determine which users, and how many users, utilized or are utilizing each DirectAccess server, which can be identified by geographic locations. In some cases, this information can be used to address technical support issues or to determine which resources of an entity may be under- or over-utilized.

Abstract: Computer software that performs the following operations: (i) identifying a bioinformatics dataset and instructions for processing the bioinformatics dataset, the instructions identifying a sequence of bioinformatics processing tools including at least a first bioinformatics processing tool followed by a second bioinformatics processing tool; (ii) instructing the first bioinformatics processing tool to process the bioinformatics dataset in accordance with the instructions; (iii) analyzing an output of the first bioinformatics processing tool, utilizing a machine learning based decision model, to determine a modification to the sequence of bioinformatics processing tools; and (iv) instructing a third bioinformatics processing tool to process at least a first portion of the bioinformatics dataset in accordance with the determined modification.

Abstract: A visible light photocatalyst coating includes a metal oxide that in the presence of a organic contaminate that absorbs at least some visible light or includes the metal oxide and an auxiliary visible light absorbent, where upon absorption of degradation of the organic contaminate occurs. Contaminates can be microbes, such as bacteria, viruses, or fungi. The metal oxide is nanoparticulate or microparticulate. The metal oxide can be TiO2. The coating can include an auxiliary dye having an absorbance of light in at least a portion of the visible spectrum. The coating can include a suspending agent, such as NaOH. The visible light photocatalyst coating can cover a surface of a device that is commonly handled or touched, such as a door knob, rail, or counter.

Abstract: Methods, computer systems, and computer-storage medium are provided for monitoring, analyzing, and providing reports regarding direct access technologies, for example DirectAccess, VPN, or VPN-like technologies. User activity associated with DirectAccess servers can be filtered by server location to allow administrators to determine which users, and how many users, utilized or are utilizing each DirectAccess server, which can be identified by geographic locations. In some cases, this information can be used to address technical support issues or to determine which resources of an entity may be under- or over-utilized.

Abstract: The present disclosure is directed to systems and methods for virtualizing communications within a plurality of telematics channels operatively connected to a target machine. The method includes (i) generating a virtualized channel in addition to the plurality of telematics channels operatively connected to the target machine; (ii) predicting one or more values for the virtualized channel based on a mathematical function derived from a first set of telematics channels of a source machine; (iii) receiving measurements from the plurality of telematics channels from the target machine; and (iv) applying the mathematical function to the target machine based upon the one or more predicted values of the virtualized channel and the received measurements from the plurality of telematics channels from the target machine.

Abstract: Provided herein are compositions, systems, kits, and methods for administering a gel composition into a tumor of a subject and treating with laser light (e.g., for photoacoustic destruction of the tumor and tumor debris generation), where the gel comprises functionalized fullerenes (FFs) and a biocompatible polymer. In certain embodiments, 0.1-5% (e.g., about 1-2%) by weight of the gel is the functionalized fullerenes (e.g., polyhydroxy fullerenes). In other embodiments, the FFs have a generally symmetrical spherical structure.

Abstract: The present disclosure is directed to systems and methods for virtualizing communications within a plurality of telematics channels operatively connected to a target machine. The method includes (i) generating a virtualized channel in addition to the plurality of telematics channels operatively connected to the target machine; (ii) predicting one or more values for the virtualized channel based on a mathematical function derived from a first set of telematics channels of a source machine; (iii) receiving measurements from the plurality of telematics channels from the target machine; and (iv) applying the mathematical function to the target machine based upon the one or more predicted values of the virtualized channel and the received measurements from the plurality of telematics channels from the target machine.

Abstract: A method, computer system, and a computer program product for predicting animal testing measurement levels is provided. The present invention may include referencing a human gene expression profiles data obtained under in vitro chemical treatment. The present invention may include referencing an animal measurements data obtained under in vivo chemical treatment. The present invention may include assigning an animal measurement level to a human gene expression profile by matching at least one identified compound. The present invention may include creating a chemical fingerprint of the identified compound. The present invention may include creating a machine learning feature space as a function of a human gene expression feature and a chemical fingerprint feature of the identified compound for predicting an associated animal measurement level assigned to the at least one human gene expression profile. The present invention may include training a model using the machine learning feature space.

Abstract: Classifying genetic sequences by receiving genetic sequence data according to sequence features associated with gene expression, determining a genetic sequence feature set, determining a first classification for the genetic sequence feature set according to a machine learning model, defining a causal feature set associated with the first classification for the genetic sequence according to the machine learning model, altering the causal feature set for the genetic sequence, yielding an altered causal feature set, determining a second classification for the altered causal feature set according to the machine learning model, wherein the second classification differs from the first classification, and defining a set of target features, wherein the target features include causal features the altered causal feature set.