Abstract: A control circuit for an isolated power supply is disclosed, the control circuit includes a secondary-side drive signal generator, a secondary-side transistor switch turn-off detector and a primary-side control signal generator. The primary-side control signal generator is configured to: determine a second turn-on instant referring to an turn-off instant of the secondary-side synchronous rectification transistor from the turn-off acknowledgement signal; determine a first turn-on instant referring to a supposed turn-on instant for the primary-side transistor switch from the feedback signal of the output voltage of the isolated power supply; and determine the turn-on instant for the primary-side transistor switch from the second turn-on instant or the first turn-on instant whichever is later, and responsively generate the primary-side transistor switch control signal.

Abstract: A monitoring system based on a digital converter station includes a first monitoring terminal deployed at a first-level monitoring side, a second monitoring terminal deployed at a second-level monitoring side, and a third monitoring terminal deployed at a third-level monitoring side; the monitoring terminal at each level includes a communication module, a human-machine interaction module, a device status monitoring module, a device alarm management module, a video fusion processing module, and a data transmission adjustment and control module.

Abstract: Systems and methods for out-of-distribution detection of nodes in a graph includes collecting evidence to quantify predictive uncertainty of diverse labels of nodes in a graph of nodes and edges using positive evidence from labels of training nodes of a multi-label evidential graph neural network. Multi-label opinions are generated including belief and disbelief for the diverse labels. The opinions are combined into a joint belief by employing a comultiplication operation of binomial opinions. The joint belief is classified to detect out-of-distribution nodes of the graph. A corrective action is performed responsive to a detection of an out-of-distribution node. The systems and methods can employ evidential deep learning.

Abstract: A computer-implemented method for ordinal prediction is provided. The method includes encoding time series data with a temporal encoder to obtain latent space representations. The method includes optimizing the temporal encoder using semi-supervised learning to distinguish different classes in the labeled space using labeled data, and augment the latent space representations using unlabeled training data, to obtain semi-supervised representations. The method further includes discarding a linear layer after the temporal encoder and fixing the temporal encoder. The method also includes training k-1 binary classifiers on top of the semi-supervised representations to obtain k-1 binary predictions. The method additionally includes identifying and correcting inconsistent ones of the k-1 binary predictions by matching the inconsistent ones to consistent ones of the k-1 binary predictions. The method further includes aggregating the k-1 binary predictions to obtain an ordinal prediction.

Abstract: Methods and systems for anomaly detection include encoding a multivariate time series and a multi-type event sequence using respective transformers and an aggregation network to generate a feature vector. Anomaly detection is performed using the feature vector to identify an anomaly within a system. A corrective action is performed responsive to the anomaly to correct or mitigate an effect of the anomaly. The detected anomaly can be used in a healthcare context to support decision making by medical professionals with respect to the treatment of a patient. The encoding may include machine learning models to implement the transformers and the aggregation network using deep learning.

Abstract: A system is disclosed, in accordance with one or more embodiments of the present disclosure. The system includes a metrology tool configured to acquire one or more measurements of a portion of a sample. The system includes a controller including one or more processors configured to execute program instructions causing the one or more processors to: generate a surface kinetics model output based on a surface kinetics model; determine an expected response of the surface kinetics model output to excitation by polarized light; compare the determined expected response to the one or more measurements; generate one or more metrics based on the comparison between the determined expected response and the one or more measurements of the sample; adjust one or more parameters of the surface kinetics model to generate an adjusted surface kinetics model; and apply the adjusted surface kinetics model to simulate on-sample performance during plasma processing.

Abstract: A computer-implemented method for ordinal prediction is provided. The method includes encoding time series data with a temporal encoder to obtain latent space representations. The method includes optimizing the temporal encoder using semi-supervised learning to distinguish different classes in the labeled space using labeled data, and augment the latent space representations using unlabeled training data, to obtain semi-supervised representations. The method further includes discarding a linear layer after the temporal encoder and fixing the temporal encoder. The method also includes training k?1 binary classifiers on top of the semi-supervised representations to obtain k?1 binary predictions. The method additionally includes identifying and correcting inconsistent ones of the k?1 binary predictions by matching the inconsistent ones to consistent ones of the k?1 binary predictions. The method further includes aggregating the k?1 binary predictions to obtain an ordinal prediction.

Abstract: Technologies for a flexible three-dimensional power plane in a chassis are disclosed. In one embodiment, a flexible ribbon cable is laid along a circuit board tray. The flexible ribbon cable is secured to the tray using power bosses. The power bosses connect to one or more conductors on the ribbon cable. When the circuit board is mounted on the circuit board tray, the power bosses extend through holes in the circuit board and mate with power clips on the surface of the circuit board tray. The ribbon cable, power bosses, and power clips can distribute power to various locations on the circuit board, without requiring large traces that take up space on the circuit board.

Abstract: Systems and methods for personalized federated learning. The method may include receiving at a central server local models from a plurality of clients, and aggregating a heterogeneous data distribution extracted from the local models. The method can further include processing the data distribution as a linear mixture of joint distributions to provide a global learning model, and transmitting the global learning model to the clients. The global learning model is used to update the local model.

Abstract: Methods and systems for training a model include distinguishing hidden states of a monitored system based on condition information. An encoder and decoder are generated for each respective hidden state using forward and backward autoencoder losses. A hybrid hidden state is determined for an input sequence based on the hidden states. The input sequence is reconstructed using the encoders and decoders and the hybrid hidden state. Parameters of the encoders and decoders are updated based on a reconstruction loss.

Abstract: Provided herein are compositions and methods comprising non-naturally occurring nucleic acid sequences that encode biologics. Also provided are methods of utilizing the provided compositions and methods as ocular therapeutics for prevention and treatment of various diseases and conditions.

Abstract: A collimation fiber adapter includes a base, a metasurface collimation lens, a sleeve, and a fiber ferrule. The base includes a mounting cavity with a positioning structure at an end of the mounting cavity. The metasurface collimation lens is connected to the positioning structure. The sleeve is arranged inside the mounting cavity. An end of the sleeve away from the positioning structure is configured to assemble a fiber. The fiber ferrule is arranged inside the mounting cavity and assembled with an end of the sleeve close to the positioning structure. A first side end surface of the fiber ferrule away from the positioning structure is configured to be coupled with the fiber. A second side end surface of the fiber ferrule close to the positioning structure is opposite to the metasurface collimation lens.

Abstract: A computer-implemented method for simulating vehicle data and improving driving scenario detection is provided.

Abstract: Isolated power supply control circuits, isolated power supply and control method thereof are disclosed, the control circuit for controlling an isolated power supply includes a secondary-side control signal generator and a primary-side control signal generator. The secondary-side control signal generator produces a secondary-side transistor switch control signal containing information about a turn-off instant of a secondary-side synchronous rectification transistor, which serves as a second turn-on instant. The primary-side control signal generator derives, from a feedback signal, a supposed turn-on instant for a primary-side transistor switch, which serves as a first turn-on instant. The primary side turn-on signal generator further derives a turn-on instant for the primary-side transistor switch from the second or first turn-on instant whichever is later and responsively generates a primary-side transistor switch control signal.

Abstract: Methods and systems for training a language model include retrieving a knowledge sentence, related to an input sentence, from a knowledge base. The input sentence, the knowledge sentence, and a prompt are encoded into an intermediate representation. The intermediate representation is decoded to generate a named entity from the input sentence that is of a type specified by the prompt. A language model is fine-tuned based on the named entity.

Abstract: A device and method for preparing a fully granular cigarette/filter rod, and a prepared fully granular cigarette/filter rod are disclosed. In certain embodiments, negative pressure is used to adhere granular material onto a mesh-type conveyor belt. The granular material is preliminarily formed into fully granular cigarette/filter rod material by means of a pre-forming apparatus; the fully granular cigarette/filter rod material, traveling with the mesh-type conveyor belt, enters into a forming cavity, and undergoes heating and humidifying treatment, and a continuous solid porous substance is formed; the continuous solid porous substance is moved into the cooling/drying cavity, drying and cooling treatment are performed under the action of negative pressure, and a fully granular cigarette/filter rod with strong adhesion, porosity, permeability, and appropriate moisture is obtained.

Abstract: Methods and systems for training a model include determining class prototypes of time series samples from a training dataset. A task corresponding to the time series samples is encoded using the class prototypes and a task-level configuration. A likelihood value is determined based on outputs of a time series density model, a task-class distance from a task embedding model, and a task density model. Parameters of the time series density model, the task embedding model, and the task density model are adjusted responsive to the likelihood value.

Abstract: A semiconductor device is disclosed herein. The semiconductor device includes a silicon carbide substrate, trench structures, mesa structures, a first oxide layer, a conductive layer, a second oxide layer, a dielectric layer, and an insulation layer. The trench structures are formed on a surface of the silicon carbide substrate. Each trench structure has sidewalls and a bottom, and each respective mesa structure is formed between the respective adjacent trench structures. The first oxide layer is formed on the sidewalls of the trench structures. The conductive layer is formed on the bottom of the trench structures and on a top surface of each mesa structure. The second oxide layer is formed on the first oxide layer and the conductive layer. The dielectric layer is formed on the second oxide layer. The insulation layer is formed on the dielectric layer.

Abstract: Disclosed in the present disclosure are a method and system for producing hexafluoro-1,3-butadiene. It includes: under the action of a catalyst, chlorotrifluoroethylene reacting with hydrogen gas in a first reactor to obtain a mixture, the mixture entering a rectification apparatus, trifluoroethylene obtained by rectification entering a second reactor and reacting with bromine under light to obtain 1,2-dibromo-trifluoroethane; in a third reactor pre-loaded with the 1,2-dibromo-trifluoroethane, adding the 1,2-dibromo-trifluoroethane and solid alkali, and performing reaction to obtain bromotrifluoroethylene; and adding the bromotrifluoroethylene to a fourth reactor holding with zinc powder, an initiator and an organic solvent for reaction, so as to obtain a trifluoroethenyl zinc bromide solution, performing filtration, and then adding a coupling agent for a coupling reaction, so as to obtain hexafluoro-1,3-butadiene.

Abstract: A computer-implemented method for identifying root cause failure and fault events is provided. The method includes detecting a trigger point, converting, via an encoder, previous system state data, new batch data in a next system state, and a causal graph to system state-invariant embeddings and system state-dependent embeddings, generating a learned causal graph, via a graph generation layer, by integrating state-invariant and state-dependent information, and predicting, by a prediction layer, future time-series data on the learned causal graph.