Abstract: Various embodiments of the teachings herein include workflow execution methods. An example includes: obtaining a workflow and configuration information, wherein the workflow is generated based on a behavior tree construction operation performed by a user on a graphical user interface; configuring an auxiliary process adapted to provide a resource for the workflow based on the configuration information, wherein the auxiliary process is adapted to host a long connection with the resource; and generating a function block process adapted to execute a function block in the workflow, wherein the function block process is adapted to host a first idempotent short connection with the auxiliary process and/or a second idempotent short connection with the resource, and the auxiliary process is decoupled from the function block process.

Abstract: Distributed fiber optic sensing (DFOS) and artificial intelligence (AI) systems and methods for performing utility pole hazardous event localization that advantageously identify a utility pole that has undergone a hazardous event such as being struck by an automobile or other detectable impact. Systems and methods according to aspects of the present disclosure employ machine learning methodologies to uniquely identify an affected utility pole from a plurality of poles. Our systems and methods collect data using DFOS techniques in telecommunication fiber optic cable and use an AI engine to analyze the data collected for the event identification. The AI engine recognizes different vibration patterns when an event happens and advantageously localizes the event to a specific pole and location on the pole with high accuracy. The AI engine enables analyses of events in real-time with greater than 90% accuracy.

Abstract: Provided is the use of a piperidene alkene compound in the preparation of a drug for treating cancer. Specifically, the use of 1?-((7-ethyl-6-carbonyl-5,6-dihydro-1,5-naphthyridin-3-yl)methyl)-N-methyl-1?,2?,3?,6?-tetrahydro-[3,4?-bipyridine]-6-carboxamide or a pharmaceutically acceptable salt thereof in the preparation of a drug for treating cancer. 1?-((7-ethyl-6-carbonyl-5,6-dihydro-1,5-naphthyridin-3-yl)methyl)-N-methyl-1?,2?,3?,6?-tetrahydro-[3,4?-bipyridine]-6-carboxamide or a pharmaceutically acceptable salt thereof has a good inhibitory effect on each cancer cell, and can be used for treating related cancers.

Abstract: A present invention embodiment provides trace-base analysis and memory migration. A trace is performed on a process that is executing one or more preconfigured tasks to collect trace data comprising memory access addresses of the process and function calls of the process. The trace data is analyzed to identify one or more metadata memory regions based on frequent memory accesses and a content memory region based on infrequent memory accesses during the trace. It is determined that a portion of content addresses of the content memory region can be migrated to a remote memory without disrupting execution of the process. The portion of content addresses is migrated to the remote memory. The process is patched to insert remote logic that redirects access operations to the portion of the content addresses to the migrated portion of content addresses in the remote memory. The process is executed.

Abstract: A system and method for distributed fiber-optic sensing (DFOS) event classification utilizing an energy-based generative artificial intelligence model. The method leverages a joint energy-based model (JEM) to ingest both human-annotated labeled sensing data and abundant unlabeled ambient sensing data collected from a DFOS interrogator. The joint energy-based model models the data distribution of high-dimensional spatial-temporal sensing signals, enabling semi-supervised classification that improves generalization, provides calibrated uncertainty estimates, and avoids domain-specific data augmentation constraints. The system further provides a test-time refinement mechanism utilizing Stochastic Gradient Langevin Dynamics (SGLD) updates in the input data space to remove the effects of sensor noise and recover discriminative classification accuracy upon deployment in pre-existing telecom cable networks.

Abstract: A communication method and apparatus. First-stage control information is sent, where the first-stage control information includes scheduling information of second-stage control information. The scheduling information of the second-stage control information includes scheduling information of first data. The second-stage control information is sent, where the second-stage control information is determined based on a first joint encoding result of the first data and first information. The first information is second control information of second data.

Abstract: Systems, methods, and structures providing dynamic line rating (DLR) for overhead transmission lines based on distributed fiber optic sensing (DFOS)/distributed temperature sensing (DTS) to determine temperature of the electrical conductors. Environmental conditions such as wind speed, wind direction, and solar radiation data, are collected from environmental sensors and an acoustic modem that convert the digital data collected from the environmental sensors into generated vibration patterns that are subsequently used to vibrationally excite a DFOS optical sensor fiber. The DFOS system monitors the optical sensor fiber and detects, measures, and decodes the vibrational excitations. An Artificial Neural Network (ANN) determines a heat transfer correlation between the temperature of the optical sensor fiber and electrical conductor(s) (core temperature).

Abstract: The technology of this application relates to a method for determining a feature of a terminal and a communication apparatus. A mandatory feature set in a feature set of a terminal determined by the terminal or a network device is related to a type of the terminal. In this way, a mandatory feature set may be separately defined for different types of terminals. This customizes features of the terminals, helps minimize the features of the terminals, meets feature requirements of the different types of terminals, reduces chip costs and terminal implementation processing complexity, and implements terminal energy saving.

Abstract: In various examples, a multi-sensor fusion machine learning model—such as a deep neural network (DNN)—may be deployed to fuse data from a plurality of individual machine learning models. As such, the multi-sensor fusion network may use outputs from a plurality of machine learning models as input to generate a fused output that represents data from fields of view or sensory fields of each of the sensors supplying the machine learning models, while accounting for learned associations between boundary or overlap regions of the various fields of view of the source sensors. In this way, the fused output may be less likely to include duplicate, inaccurate, or noisy data with respect to objects or features in the environment, as the fusion network may be trained to account for multiple instances of a same object appearing in different input representations.

Abstract: The present disclosure provides methods and compositions for preparing DNA molecules useful for determining a methylation status of selected regions of the DNA molecules. The methods utilize methylation sensitive restriction enzymes, and typically include one or more amplifications or a selective enrichment of target regions.

Abstract: Provided is a transgenic recombinant immune cell specifically targeting a tumor. The recombinant immune cell includes a chimeric polypeptide and a chimeric antigen receptor. The chimeric polypeptide includes a first extracellular region having an activity of binding to HLA-G protein, a first transmembrane region, and a first intracellular region. The N-terminus of the first transmembrane region is linked to the C-terminus of the first extracellular region. The N-terminus of the first intracellular region is linked to the C-terminus of the first transmembrane region. The first transmembrane region includes a transmembrane region of Xenopus tropicalis Notch receptor protein. The chimeric antigen receptor does not have an HLA-G protein-binding activity.

Abstract: Provided are a preparation method of a piezoelectric composite material, and the application thereof. The preparation method includes: step 1, designing a curved-surface 3D printed mesh mold and forming the curved-surface 3D printed mesh mold by printing; step 2, cutting a blocky piezoelectric phase into a plurality of small piezoelectric columns; step 3, inserting the small piezoelectric columns into empty cells of the 3D printed mold; step 4, filling gaps between the piezoelectric columns and the 3D printed mold with a non-piezoelectric phase such as an epoxy resin, and curing and forming the non-piezoelectric phase; and step 5, grinding, polishing, and ultrasonically cleaning a prepared sample, and then performing an electrode coating operation on the sample to obtain a curved-surface piezoelectric composite material.

Abstract: The present disclosure relates to a composition for cell culture, a method for preparing the composition, a method for culturing cells using the composition, and cells obtained thereby. Using the composition for cell culture disclosed herein to culture cells can achieve effects including large-scale cell expansion, maintaining high cell viability, an early memory phenotype, and a low exhaustion phenotype.

Abstract: A solar powered, self-contained DFOS extender that includes a wide-angle camera and a microphone. The DFOS extender monitors the perimeter constantly or at predetermined time intervals both visually and acoustically. It analyses these signals and if an alarming event is detected (such as an animal, a human, a car, or a truck seen or heard), then the DFOS extender generates a coded vibration via its in-built acoustic modem. These coded vibrations are detected by the fiber and an event log is generated. Consequently, a trespasser or false alarms (animals) are detected before they are within detectable distance of the underground DFOS optical sensor fiber. Advantageously, our DFOS extender can be placed in critical locations along a border where an increased detection range is desired and may later be relocated/reinstalled at other locations as well.

Abstract: The present invention is directed to a removable sample holder for analytical instruments or apparatuses that utilizes a prism. For example, sample devices of the invention can be used in a surface plasmon resonance (SPR) spectroscopy, a plasmon-waveguided resonance (PWR) spectroscopic device, as well as other spectroscopy devices known to one skilled in the art that uses a prism. The present invention is also directed to methods for using the same. The sample holder device (10) includes a sample injection port (100), a prism retainer (200) and a sample compartment base (300). Unlike conventional SPR and PWR instruments that have a built-in sample chamber, the sample holder device (10) of the present invention provides a separate sample chamber that can be readily removed and replaced. Furthermore, by allowing ready replacement of the prism the sample holder device (10) of the invention allows user to fabricate custom sensor chips.

Abstract: This application provides a communication method and a communication apparatus, to improve communication reliability; and can be applied to a communication system. The method includes: A first apparatus receives first indication information from a second apparatus, where the first indication information indicates a first resource and a second resource, the first resource is used by a third apparatus to send first information to the first apparatus, and the second resource is used by the second apparatus to send the first information to the first apparatus. The first apparatus receives the first information sent by the third apparatus on the first resource, and receives the first information sent by the second apparatus on the second resource.

Abstract: Methods, apparatuses, and computer systems are disclosed for performing request conversion between resource management systems (RMSs). In an example, a first RMS generates a first request packet in a first communication format. A packet body of the first request packet includes a number ID of a to-be-executed resource transfer operation and a first token. The first RMS sends the first request packet to an interchange system in response to determining that the first token belongs to a predetermined type. The interchange system parses the first request packet, extracts the number ID and the first token from the first request packet, determines, by querying a first data record, a first account in a second RMS corresponding to the first token, generates a second request packet in a second communication format based on an API specification of the second RMS, and sends the second request packet to the second RMS.

Abstract: In sharp contrast to the prior art, a fallen tree detection and localization method based on distributed fiber optical sensing (DFOS) technique and physics informed machine learning is described in which DFOS leverages existing fiber cables that are conventionally installed on the bottom layer of distribution lines and used to provide high-speed communications. The DFOS collects and transmits fallen tree induced vibration data along the length of the entire overhead lines, including distribution lines and transmission lines, where there is a fiber cable deployed. The developed physics-informed neural network model processes the data and localizes the fallen tree location along the lines. The location is interpreted in at least two aspects: the fallen tree location in terms of the fiber cable length; and the exact cable location (power cable or fiber cable) that the fallen tree mechanically impacts.

Abstract: Disclosed are systems, methods, and structures that employ distributed fiber sensing that utilizes existing fiber cables for detecting tree events. Our inventive systems and methods can detect when a tree or other types of vibration occur on the telecom cable or poles, creating a high-resolution spatial profile of the cable. Systems and methods according to aspects of the present disclosure distinguish between tree events and other vibrations, such as hammer strikes on a utility pole, by employing Information Noise Contrastive Estimation (InfoNCE) and contrastive learning. Our inventive approach accurately differentiates between different types of vibrations and identifies patterns specific to tree events.

Abstract: Aspects of the present disclosure describe distributed fiber optic sensing (DFOS)/distributed acoustic sensing (DAS) systems, methods, and structures that employ machine learning and provide for the automatic remote inspection and condition evaluation of wooden utility poles. Operationally, audio (acoustic) signals are obtained using DFOS/DAS when a service technician/inspector strikes the wooden utility poles with an impact tool such as a hammer. Historical audio DFOS/DAS signals that include signals resulting from hollow (decayed) utility poles and solid (good) poles are used to train one or more machine learning models and the trained machine learning models are subsequently used to evaluate real-time impact data collected from DFOS/DAS and determine utility pole condition in real-time.