Abstract: Methods and servers for executing Vertical Federating Learning (VFL) over a communication network are disclosed. Some methods include encoder and data selection, encoder customization, and VFL configuration. Encoder and data selection includes receiving a VFL request and analyzing it to determine data requirements and encoder requirements, selecting, based on the encoder requirements, a first encoder and a second encoder, and selecting, based on the data requirements, data sources for the first encoder and for the second encoder. Encoder customization includes selecting a first encoder and a second encoder, and customizing the first encoder by muting a portion of the first encoder. The VFL configuration includes receiving labelled data information and an indication of a loss function, configuring an evaluator using the labelled data information and the indication of the loss function, configuring encoder outputs to the joint classifier, and configuring a privacy router.

Abstract: Described herein are injectable or infusible formulations of PARP inhibitors. In one aspect, the formulation comprises a PARP inhibitor and a cyclodextrin. The injectable or infusible PARP inhibitor-cyclodextrin formulation improves drug solubility, bioavailability, and therapeutic effectiveness. Also described herein are methods for treating oncological and non-oncological indications with injectable or infusible formulations of PARP inhibitors.

Abstract: Mechanisms for subscription and notification may include dynamically changing notification behavior based on notification target status or support access to notification history information.

Abstract: A subscriber issues a message to a resource host to request subscription to multiple resources. This message may indicate identifiers of these resources, event notification criteria for each individual resource and define cross-resource notification criteria such as time window type and time window size. The resource host issues cross-resource notifications to the subscriber or its designated notification targets when expected changes on the target resources occur within a time window.

Abstract: The present application describes a method and apparatus for managing a service in a service layer. In particular, a method describes a computer readable storage medium including instructions for managing a service in a service layer where the instructions are executed by a processor. The executed instructions cause the processor to receive a request to manage, via a service enabler function of the service layer, a change of state of the service including adding, removing, activating, or deactivating the service. The request may include a service description. The executed instructions also cause the processor to evaluate, via the service enabler function, the service description comprising identifiers of one or more services to manage. The executed instructions further cause the processor to identify one or more service capabilities in the service layer to assist in managing the one or more services identified in the service description.

Abstract: A method of forming a titania-coated inorganic particle comprising the steps of: (a) agitating a mixture of inorganic particle and organic solvent; (b) adding titania precursor dropwise into the mixture of step (a) under agitation; and (c) adding catalyst to the mixture of step (b) thereby converting said titania precursor to titania which then forms a coating on said inorganic particle; wherein steps (a) to (c) are performed at neutral pH and ambient temperature.

Abstract: There is provided a system including a platform controller for managing artificial intelligence services, wherein the system includes a processor coupled with a memory, having stored thereon instructions. The instructions, when executed by the processor, configure the platform controller to receive an artificial intelligence (AI) service registration request from an AI controller controlling the AI service, the AI service registration request including information indicative of locations of the AI service and transmit an AI service registration response to the AI controller, the AI service registration response including routing information at least in part specifying how to reach a coordinator associated with the AI service, the coordinator corresponding to a location of the AI service and transmit a notification indicative of availability of the AI service to a device.

Abstract: A method, apparatus and system for cooperatively classifying objects in an autonomous vehicle environment are provided. A controller receives data quality indicators from multiple devices. Each data quality indicator reflects quality of an instance of object sensing data held by a device. Each device determines its data quality indicators based on its own sensor data and indications of object bounding regions. The controller makes decisions based at least in part on the data quality indicators, such as decisions on which instances of object sensing data are to be used for an object classification task, which device is to perform the object classification task, any downsampling of sensor data to be performed prior to object classification, and allocations of resources for use in object classification. The decision may be made by solving an optimization problem.

Abstract: Embodiments of this application provide a window display method and a related apparatus. The method includes: An electronic device displays a first window. The electronic device determines a hot region of the first window based on a first display region of the first window, where the first display region includes a display region of a response control in the first window, and the response control is a control capable of responding to a touch operation. According to embodiments of this application, the hot region of the window can be determined based on a display region of display content in the window. In this way, an operable region for a user on a display screen is increased, and screen utilization is effectively improved.

Abstract: A vulcanizing agent is added during the processing of a polymer, and can form a crosslinking structure network in the polymer, thereby improving the mechanical properties of the material. Furthermore, the crosslinking agent can also de-crosslink the polymer material at a high temperature, and after being cooled, same can be crosslinked again to produce a network structure, thus endowing the polymer material with thermoplasticity for repeated processing.

Abstract: A method and a system for automatically collecting multiple information of a tunnel during construction period are provided. A detection point and a detection line are formed by projecting a light source on the inner wall of the tunnel, and then the pixel position changes of the areas where the detection point and the detection line are located in different time periods are recorded by a measuring camera, and the detection point and the detection line are integrated and corrected with tunnel point cloud data as a reference standard to form an accurate four-dimensional model of the tunnel.

Abstract: There is provided a coating formulation comprising an inorganic oxygen scavenger, a surfactant, an activator, a hydrophilic agent, optionally an additive and a plurality of monomers capable of forming a polymeric matrix, and a method to prepare the same. There is also provided an article comprising an inorganic scavenger, a surfactant, an activator, a hydrophilic agent and optionally an additive dispersed within a polymeric matrix, and a method to prepare the same.

Abstract: The provision of fog services may be coordinated by a fog leader adapted to track capabilities and resources available at other fog nodes, and to receive and process requests and policies from entities seeking fog services. For example, the fog leader may divide tasks among several fog nodes according to the capabilities and resources available at various nodes, and do so in a way that is transparent to the requestor and the fog nodes providing the service. The fog leader may request the reservation of capabilities and resources, and confirm and cancel such reservations. Fog services policies may include, for example, periods of time during which capabilities and resources should be reserved.

Abstract: System, methods and apparatuses for cumulative deep neural network (DNN) inference are provided. There is provided a data-driven cumulative DNN inference method which can aggregate multiple fast DNN inference results to obtain a cumulative DNN inference result and provide an improved cumulative confidence level. There is further provided a method for cumulative DNN inference, which can provide adaptive selection between a fast DNN inference, with low computing demand but low confidence level, and a full DNN inference, with high computing demand but high confidence level.

Abstract: A noise reduction gas path structure includes a gas path chamber; an acoustically transparent and anti-aeration element in the gas path chamber, the acoustically transparent and anti-aeration element is configured to divide the gas path chamber into a gas flow portion and a sound-absorbing portion; and a sound-absorbing filler in the sound-absorbing portion, the sound-absorbing filler is configured to absorb sound entering the sound-absorbing portion from the gas flow portion through the acoustically transparent and anti-aeration element. A gas path device includes the above noise reduction gas path structure. And a respirator includes the gas path device.

Abstract: There is provided a composite material comprising a porous silica particle, a plurality of metal particles disposed within the pores of said silica particle and a polymeric coating that at least partially encapsulates said silica particle. There is also provided a method of preparing a composite material, comprising the step of mixing a solution containing a plurality of activated metal and silica particles with a polymer solution to thereby form said composite material, wherein said composite material comprises a porous silica particle, a plurality of metal particles disposed within the pores of said silica particle and a polymeric coating that at least partially encapsulates said silica particle.

Abstract: The present disclosure relates to a ternary positive electrode material for lithium-ion batteries, having a coated type structure. The core of the coated type structure includes a lithium composite metal oxide, and the outer coating in a form of wrinkles. The wrinkled outer coating is coated on a surface of the lithium composite metal oxide, and mainly is a cobalt-containing lithium metal oxide. The positive electrode material is prepared by: mixing a lithium source and a ternary precursor material at a molar ratio, subjecting the resulting mixture to multi-stage high-temperature sintering in an oxygen atmosphere, and cooling the resulting sinter to room temperature; and mixing the resulting lithium composite metal oxide with a cobalt source, or with the cobalt source and an M-containing compound, and then sintering the resulting mixture in an oxygen atmosphere to obtain the ternary positive electrode material.

Abstract: A system for generating enhanced speech data using robust audio features is disclosed. In some embodiments, a system is programmed to use a self-supervised deep learning model to generate a set of feature vectors from given audio data that contains contaminated speech and is coded. The system is further programmed to use a generative deep learning model to create improved audio data corresponding to clean speech from the set of feature vectors.

Abstract: There is provided systems and methods for data feature extraction based on feedback from a network. The system may be used generally to enable feature-specific network operations, including one or more of access control, data compression and selective encryption. Further, embodiments provide methods and systems for data compression based on feature similarity and may include privacy protection.

Abstract: An M2M Service Layer is expanded to access the services of third parties and exchange data with these third parties. The M2M Service Layer is then able to act as a proxy between M2M Devices and the third party services. The M2M Service Layer is able to present a single/consistent interface, or API, to the M2M Device and hide the details of the third party service provider from the M2M Device.