Abstract: Various embodiments of the present disclosure provide a text interpretation technique. The text interpretation technique includes generating a plurality of text segment embeddings from a plurality of input text documents and identifying prompt embeddings associated with a predictive task. The technique includes generating task-specific similarity scores for the plurality of text segments based on a comparison between the plurality of text segment embeddings and the prompt embeddings, The technique includes identifying a set of task-specific text segments from the plurality of text segments based on the plurality of task-specific similarity scores and training a target machine learning model based on the set of task-specific text segments.

Abstract: An AI-powered platform and method for generating and updating a personalized multi-year college admissions roadmap is disclosed. The platform ingests a structured student data profile, and retrieves one or more target college data profiles comprising historical admissions statistics and college-specific weighting parameters. For each target college, an Admissions Strength Index (ASI) is computed; a structured gap map is produced quantifying developmental shortfalls; and a plurality of candidate action-item pathways are generated—each accompanied by an admissions probability computed by a multi-tier ensemble of logistic regression, random forest, neural network, and LLM components. One pathway is selected and optimized for workload balance via AI-assisted constraint satisfaction. The platform monitors student progress, recomputes the ASI and admissions probability upon ingestion of new data profile inputs, updates the roadmap, and dispatches AI-generated automated alerts.

Abstract: A multifunctional detachable oral retractor for orthodontic treatment includes a base body, middle parts of top and bottom ends of the base body are hinged with rotating arms, end portions of the rotating arms are hinged with a suspension frame, the end portions of the rotating arms are hinged with a forceps arm located on an outer side of the suspension frame, a shaft tube is slidably mounted on an end face of one side of the base body, a piston is slidably mounted inside the base body, and a pilot valve is mounted at a middle part of an end face of the other side of the base body. A physician can more intuitively sense and control a support force applied to a patient's oral cavity, ensuring reliable support while avoiding strain on perioral muscles, significantly enhancing patient comfort through a gentler support process.

Abstract: An electrochemical nitrogen and phosphorus removal device includes a three-dimensional electro-catalytic oxidation unit reactor, a three-dimensional electro-biological coupling unit reactor, a light filter material filter unit reactor and a three-dimensional electro-flocculation phosphorus removal unit reactor; a water outlet pipe of the light filter material filter unit reactor is connected to both a main water outlet pipe and a water inlet pipe of the three-dimensional electro-flocculation phosphorus removal unit reactor; and a water outlet pipe of the three-dimensional electro-flocculation phosphorus removal unit reactor is connected to a water inlet pipe of the light filter material filter unit reactor through a reflux pump and a check valve. The device can achieve the purpose of efficient sewage treatment by the combined action of electrochemical flocculation, electro-catalytic oxidation and electro-active microorganisms.

Abstract: Various embodiments of the present disclosure provide a synthetic data driven training scheme that improves the functionality of a computer in various aspects. The techniques comprise generating, using a code-specific generative model, a synthetic code sequence for training a code-specific classifier for a target code that is underrepresented within real world circumstances. The code-specific generative model may be trained using a direct preference loss function and preference training pairs that are generated from code sequences by splitting a code sequence into a prompt sequence and a continuation sequence, generating a positive training preference sample based on the prompt sequence and the continuation sequence, and generating a negative training preference sample by modifying a presence of the target code within the continuation sequence.

Abstract: The disclosure is directed to determining one or more indications for a prescribed medication that should be present in claim data for an individual, e.g., when an indication is missing from the claim data. To this end, the disclosed techniques generate a set of features that includes a first feature vector reflective of frequencies with which a provider has previously prescribed the medication, and a second feature vector reflective of frequencies with which the medication has been prescribed to the individual, with the feature vectors being in vector spaces having dimensions that correspond to different candidate indications for the medication. The techniques may also include generating an additional feature based on structured metadata related to the claim, and/or the techniques may use an ensemble machine-learned model to select one of the candidate indication codes (e.g., to confirm the claim indications or provide a missing indication).

Abstract: A pluggable optical protection switch (OPS, 103) is able to select between two fiber lines (109, 111) wherein a selected fiber line is an active fiber line and an unselected fiber line is a redundant standby fiber line. The pluggable OPS may be designed in a Quad Small Factor Pluggable (QSFP) form factor, such as a QSFP-DD form factor or a QSFP28 form factor.

Abstract: Various embodiments of the present disclosure provide an improved adversarial training technique that improves the functionality of a computer in various aspects by to removing spurious correlations within machine learning models. The techniques comprise receiving, from an embedding layer of a machine learning encoder, a set of token embeddings associated with a labeled data object. The techniques comprise generating a set of perturbed token embeddings by applying a noise hyperparameter to a portion of the set of token embeddings, providing, to an encoding layer of the machine learning encoder, the set of perturbed token embeddings to generate a perturbed encoded representation of the labeled data object, and providing the perturbed encoded representation for training a classifier model based on the perturbed encoded representation and a label for the labeled data object.

Abstract: Disclosed herein are optical amplifier devices, optical amplifier assembly, and optical amplifier systems.

Abstract: A security defending method and an electronic apparatus are disclosed. The security defending method is applicable in a coprocessor, including: receiving a jump destination encryption request for the operation task; using mask configuration to perform first mask processing on the first jump destination address value to obtain a first intermediate jump destination address value; performing an authentication operation based on the first jump destination storage address, a key reference value corresponding to the operation task and the first intermediate jump destination address value, to obtain a first encryption result value; using the mask configuration to perform second mask processing on the first encryption result value to obtain a first intermediate encryption result value; performing an authentication operation on the first intermediate encryption result value and the first jump destination address value to obtain a first encryption jump destination address value.

Abstract: Trifluenfuronate is used for the prevention and treatment of agricultural pest insects and mites. The trifluenfuronate can be configured as an agriculturally allowable emulsifiable concentrate, aqueous emulsion, aqueous solution, wettable powder, microemulsion, suspension, capsule suspension, or water dispersible granule, wherein the content of the trifluenfuronate in the dosage form is 1-80%. The trifluenfuronate has an outstanding effectiveness of control of agricultural pest insects and mites, and trifluenfuronate is a new compound, and there is no cross-resistance with existing products.

Abstract: A photonics integrated circuit chip includes first and second optical waveguides formed on a semiconductor substrate. Light input into the first optical waveguide passes through a first optical isolator and a coupler formed on the substrate. The coupler outputs light from the first optical isolator combined with light from an off-substrate pump light source to an off-substrate optical fiber which outputs the combined light into the second optical waveguide for passage through a second optical isolator formed on the substrate. The substrate may also include third and fourth optical waveguides. Light input into the third optical waveguide passes through a third optical isolator and a second coupler formed on the substrate. The second coupler outputs light from the second optical isolator combined with light from the pump light source to an off-substrate second optical fiber which outputs the combined light into the fourth optical waveguide for passage through a fourth optical isolator formed on the substrate.

Abstract: Embodiments of the present disclosure comprise an optical amplifier system, with the system comprising an erbium-doped fiber amplifier comprising a C band EDFA configured to generate C band light, and an L band EDFA configured to generate L Band light. A Raman amplifier comprising a fiber span may be pumped using a backward pump light.

Abstract: Various embodiments of the present disclosure provide a language model training technique. The language model training technique may include a data blending preprocessing step to improve the performance of the language model at an enterprise level. The data blending technique includes receiving an enterprise data partition from a plurality of enterprise data partitions associated with an enterprise data source, receiving a domain-specific data partition from a plurality of domain-specific data partitions associated with one or more domain data sources that are different than the enterprise data source, storing the enterprise data partition as an initial training partition of a plurality of balanced training partitions within a balanced training dataset, and generating a balanced training partition by appending a portion of the domain-specific data partition to the initial training partition. A domain-specific language model may then be trained based on the balanced training dataset.

Abstract: Various embodiments of the present disclosure provide a text interpretation technique. The text interpretation technique includes generating a plurality of text segment embeddings from a plurality of input text documents and identifying prompt embeddings associated with a predictive task. The technique includes generating task-specific similarity scores for the plurality of text segments based on a comparison between the plurality of text segment embeddings and the prompt embeddings, The technique includes identifying a set of task-specific text segments from the plurality of text segments based on the plurality of task-specific similarity scores and training a target machine learning model based on the set of task-specific text segments.

Abstract: An interactive method is disclosed. The interactive method includes forming, via a system, one or more virtual containers, wherein the one or more virtual containers are managed by at least one of a first terminal associated with a first user or a service provider. Managing the virtual containers includes managing a browsing target that includes a target website for browsing online entertainment content. The interactive method also includes appending, via the system, a virtual user identity of a second terminal associated with a second user to the one or more virtual containers, and in response to an interactive operation of the second terminal on the one or more virtual containers, configuring, via the system, the second terminal to bind to the browsing target, which is the same browsing target as the first terminal.

Abstract: Embodiments of the present disclosure provide systems and methods for generating explainable predictions.

Abstract: A quinoline carboxylate compound of the following formula (I): The compound of formula (I) shows good activity against various bacteria in agricultural field. Moreover, the compound can be used for preparing bactericides in the agricultural field due to their biological activity.

Abstract: Systems for recovery of transport system faults may include at least one processor programmed or configured to identify a presence of a reduction of power in an optical transmission band of a plurality of optical transmission bands of an optical communications network, determine a cause of the reduction of power in the optical transmission band based on identifying the presence of the reduction of power in the optical transmission band, and perform an action to rectify the reduction of power in the optical transmission band using an optical communications light source. Methods and computer program products are also disclosed.

Abstract: Embodiments of the present disclosure provide for improved data imputation and use of imputed data in processing of downstream models. Some embodiments specially train a model that performs improved data imputation utilizing a specially-configured attention mechanism. Some embodiments train a model utilizing stratified masking. Some embodiments train a particular pre-processing layer of a downstream task-specific model to adaptively learn threshold values for imputing particular data. The pre-processing layer is usable to improve accuracy training and/or use of a downstream task-specific model based at least in part on the imputed data.