Abstract: A method of fixating carbon dioxide (CO2) to a substituted oxazolidinone. The method includes mixing a metal-organic framework (MOF), a co-catalyst, at least one para-substituted aromatic amine, and at least one epoxide to form a mixture. The method further includes contacting the mixture with a gas stream containing CO2 to react the CO2 in the gas stream with the epoxide and para-substituted aromatic amine to form a substituted oxazolidinone mixture. The MOF is a UiO-66-X MOF, where X is of formula (I) wherein at least one of R1 to R4 is an allyloxy group, and R1 to R4 are independently an allyloxy group or a hydrogen.

Abstract: A membrane including a polymer substrate having pore channels and a metal-organic framework disposed on the polymer substrate. Methods of producing the membrane are described. Methods of separating gases using the membrane are also provided.

Abstract: A membrane including a polymer substrate having pore channels and a metal-organic framework disposed on the polymer substrate. Methods of producing the membrane are described. Methods of separating gases using the membrane are also provided.

Abstract: An interface system for securing devices on a network gaining access to an external wide area network, such as Internet. The interface system includes a gateway, a vulnerability scanner, switch, cameras, network access controller, and machine learning module. The interface system detects any unusual activity from a device on the network and can take autonomous decisions based on calculated scores to allow or block the unusual activity.

Abstract: A taxi metering system includes an administrative component and a mobile meter app, respectively configured to run on a server and a mobile metering device. The mobile meter receives GPS data that is map-matched by a map-matching server and used, with other fare parameters to calculate a total fare. The mobile meter app calculates a fare amount in near real time and conveys information to the administrative component. The administrative component monitors and records fare parameters and corresponding fare attributes to generate a ride summary and receipt.

Abstract: In one embodiment, a method includes receiving parameter data associated with trajectories captured using at least one sensor associated with one or more vehicles, determining a parameter distribution associated with movement parameters for the parameter data based on the trajectories, adjusting the parameter distribution for the parameter data associated with the movement parameters up to a respective threshold constraint, wherein the respective threshold constraint is based on at least one of the parameter data, generating driving simulations that are based on the adjusted parameter distribution for the parameter data, and evaluating an autonomous-driving system using the driving simulations.

Abstract: Systems, methods and computer program products are described herein that can be used to help achieve a safe rollout of software in a production datacenter environment. In accordance with certain embodiments, cloud services requests from certain users of a cloud services system (e.g., users that are authorized to receive cloud services via computing devices running test versions of infrastructure software) are dynamically matched to clusters (groups of commonly-managed computing devices called nodes) that are capable of providing the requested services on nodes running test versions of infrastructure software. Within such clusters, the requested services are provided to the users on a subset of cluster nodes that run a test version of an infrastructure software component, while the remaining cluster nodes are not running the particular test version.

Abstract: A workload adaptation service of a provider network may perform smart deployment of industrial an IoT workload across resources of a provider network and a client network. The workload adaptation service may receive, from a user, an indication of one or more constraints for performance of a workload (e.g., daily upload limit, maximum acceptable latency). The service determines a deployment for the workload across client resources and provider resources based at least on the constraints. The service deploys portions of the workload to the client network and other portions to the provider network according to the deployment. The workload adaptation service may also perform dynamic adaptation of the IoT workload by moving portions of the workload from the client network to the provider network or vice-versa, based on workload performance metrics or based on changes to the available resources.

Abstract: A method includes generating a parameter of a trajectory associated with a scenario using a path planner. The parameter is generated based on a training dataset. The method includes comparing the parameter of the trajectory against a validation parameter associated with a validation dataset. The validation parameter is based on human-based vehicle driving trajectory data associated with scenarios that satisfy a level of similarity with the scenario. The method further includes determining a level of similarity between the parameter associated with the scenario and the validation parameter associated with the scenarios, and, subsequent to determining that the level of similarity fails to satisfy a similarity threshold, the method concludes with providing training data associated with the scenario to the training dataset so that a subsequent parameter of a subsequent trajectory generated by the path planner and associated with the scenario satisfies the level of similarity against the validation parameter.

Abstract: An interface system for securing devices on a network gaining access to an external wide area network, such as Internet. The interface system includes a gateway, a vulnerability scanner, switch, cameras, network access controller, and machine learning module. The interface system detects any unusual activity from a device on the network and can take autonomous decisions based on calculated scores to allow or block the unusual activity.

Abstract: This disclosure relates to automatic determination of locations of one or more closely spaced donor atoms implanted into a semiconductor crystal lattice. A processor receives image data generated by a scanning tunnelling microscope (STM). The image data is indicative of a tunnelling current between a scanning tip and the crystal lattice at multiple image locations. The processor applies a trained machine learning model to the image data to determine a classification into one of multiple candidate configurations of the one or more donor atoms. The multiple candidate configurations relate to different locations of the one or more donor atoms in the semiconductor crystal lattice. Based on an output of the trained machine learning model, the processor determines the location of the one or more donor atoms in the semiconductor crystal lattice.

Abstract: A hybrid zeolitic imidazolate framework having an isolated purity of at least 95 wt. %, which is a coordination product formed between zinc(II) ions, a linker of formula (I), and a linker of formula (II); wherein each linker of formulae (I) and (II) links together adjacent zinc(II) ions, R1 and R2 are independently a hydrogen, an optionally substituted alkyl, an optionally substituted aryl, a halo, a nitro, or a cyano, and R3 and R4 are independently hydrogen, an optionally substituted alkyl, an optionally substituted aryl, or an optionally substituted arylalkyl. A method of making the hybrid zeolitic imidazolate framework and a method of capturing CO2 from a gas mixture with the hybrid zeolitic imidazolate framework.

Abstract: Ultrasound image devices, systems, and methods are provided. An ultrasound imaging system, comprising an array of acoustic elements configured to transmit ultrasound energy into an anatomy and to receive ultrasound echoes associated with the anatomy; and a processor circuit in communication with the array of acoustic elements and configured to receive, from the array, ultrasound channel data corresponding to the received ultrasound echoes; normalize the ultrasound channel data by applying a first scaling function to the ultrasound channel data; generate beamformed data by applying a predictive network to the normalized ultrasound channel data; de-normalize the beamformed data by applying a second scaling function to the beamformed data; generate an image of the anatomy from the beamformed data; and output, to a display in communication with the processor circuit, the image of the anatomy.

Abstract: A radiator includes a radiation substrate on which a dipole radiator configured to radiate a signal having a polarization of +45° and a signal having a polarization of ?45° is formed, a first transmission line substrate vertically coupled to the radiation substrate and having a first transmission line and a second transmission line, formed thereon, a second transmission line substrate that is vertically coupled to the radiation substrate, is spaced parallel to the first transmission line substrate, and has a third transmission line, and a fourth transmission line, formed thereon, and a distribution circuit board vertically coupled to the first transmission line substrate and the second transmission line substrate and configured to provide the signal having a polarization of +45° and the signal having a polarization of ?45° to the first to fourth transmission lines.

Abstract: Systems and methods for measuring cross-modal similarity between mass spectra and peptides are provided. A deep learning network can be used and, by training on a variety of labeled spectra, the network can embed both spectra and peptides onto a Euclidean subspace where the similarity is measured by the L2 distance between different points. The network can be trained on a novel loss function, which can calculate the gradients from sextuplets of data points.

Abstract: A system includes a greenhouse and nanofluid configured to flow around the greenhouse and absorb some or significant portion of solar spectrum having a wavelength equal to or greater than 750 nm to reduce a cooling load inside the greenhouse. The system further includes a duct channel. The nanofluid flows around the greenhouse through the duct channel.

Abstract: A method for distributed training in a parameter dataset; the method for at least one coordinating node; a network of at least one distributed node; receiving a parameter dataset from a first distributed node; decrypting the received dataset; training the parameter dataset based on a training data record to obtain a trained parameter dataset; and forwarding the trained parameter dataset to a second distributed node.

Abstract: Methods, systems, and computer-readable media for augmenting storage functionality using emulation of storage characteristics are disclosed. An access request for a data set is received. The access request is formatted according to a first protocol associated with a first data store, and the first data store is associated with first storage characteristics. The access request is translated into a translated access request. The translated access request is formatted according to a second protocol associated with a second data store, and the second data store is associated with second storage characteristics differing at least in part from the first storage characteristics. The translated access request is sent to the second data store. The translated access request is performed by the second data store on the data set using emulation of one or more of the first storage characteristics not included in the second storage characteristics.

Abstract: A zirconium metal-organic framework, which is a coordination product formed between zirconium ion clusters and a linker that links together adjacent zirconium ion clusters, wherein the linker is of formula (I) wherein R1 is hydrogen or an optionally substituted alkyl, and R2 to R4 are independently hydrogen, an optionally substituted alkyl, an optionally substituted aryl, or an optionally substituted arylalkyl. A method of capturing CO2 from a gas mixture with the zirconium metal-organic framework.

Abstract: The application relates to extracellular vesicles derived from red blood cells and particularly, although not exclusively, extracellular vesicles derived from red blood cells containing a cargo. The cargo may comprise small molecules, proteins, nucleic acids or components of the CRISPR/Cas9 gene editing system. The extracellular vesicles derived from red blood cells may be used in the treatment of medical disorders such as a genetic disorder, inflammatory disease, cancer, autoimmune disorder, cardiovascular disease or a gastrointestinal disease. Also provided is a method for loading the cargo into the extracellular vesicles derived from red blood cells by electroporation.