Abstract: The present application provides a protection case of an intelligent terminal. The protection case of the intelligent terminal includes a housing, a base, a RFID coil, at least one RFID chip and at least one switching element. A first surface of the housing defines a mounting groove, and a second surface of the housing defines a positioning groove. The base is disposed in the mounting groove, and the RFID coil is at least partially disposed on the base. The at least one RFID chip is disposed in the mounting groove and electrically connected to the RFID coil. The at least one switching element is disposed in the positioning groove, and one of the at least one switching element is connected to a circuit where one of the at least one RFID chip is connected with the RFID coil.

Abstract: Techniques for creating an interest graph include obtaining content items from multiple content sources and applying tailored (e.g., source-specific) preprocessing to the content items based on their respective content source. Text is extracted and salient keywords and key phrases are identified using unsupervised machine learning models. The keywords and key phrases become nodes in an interest graph, each node comprising an embedding of a keyword or key phrase in a common embedding space, with edges representing semantic similarity based on embeddings or co-engagement patterns. The graph provides an expansive, granular, and dynamic taxonomy easily adaptable to emerging interests. The interest graph overcomes limitations of conventional taxonomies that lack depth, fail to capture niche interests, and cannot adapt to reflect evolving user preferences. The described techniques construct a rich interest graph from diverse content for improved content understanding.

Abstract: A control system with triple modular redundancy (TMR) using separate controllers includes a first controller device, a second controller device, a third controller device, and an input/output (I/O system). The I/O system receives redundant output data packets from the first controller device, the second controller device, and the third controller device. The I/O system further evaluates the redundant data packets based on a voting process, generates a control input responsive to evaluating the redundant data packets based on the voting process, and provides the control input to the first controller device, the second controller device, and the third controller device.

Abstract: A slotted cannula for surgical procedures is disclosed. The slotted cannula has an elongated semi-circular body comprising a cavity extending along a longitudinal axis of the semi-circular body, the cavity having an open distal end and an open proximate end and an integrally formed outward bend extending curvilinear from the cavity on the proximate end and at least one fold line across the width of the cannula, perpendicular to the longitudinal axis. The cannula can be bent or broken along the at least one fold line to adjust the operable length of the cannula during a surgical procedure.

Abstract: A method of detecting earth faults, at a frequency converter connected between a first grid operating at a first frequency and a second grid operating at a different, second frequency, comprises determining a common mode voltage at the side of the converter connected to the second grid, determining levels of components of the first frequency and the second frequency in the common mode voltage, and determining if the levels are above pre-set threshold levels, indicating that an earth fault is present at the side of the converter connected to the grid operating at the respective frequency.

Abstract: Provided is a use of Staphylococcus lentus with an accession number of GDMCC 1.247 in preparation of a composition for preventing and treating insulin resistance or type 2 diabetes. This strain can significantly reduce the weight gain induced by a high-fat diet (HFD), improve the glucose tolerance, promote the insulin secretion, improve the insulin resistance, and significantly improve the immunity and inflammation.

Abstract: Automated computer systems and methods to determine a sentiment of information in digital information or content are disclosed. One aspect includes deriving, by a processor, the digital information from a source; generating, by the processor, a domain-specific machine learning sentiment score, based on the digital information, by one model of at least two machine learning models; autonomously mapping, by the processor, a non-domain specific knowledge graph of associations between elements in a set of digital contextual information; receiving, by the processor, sentiment graphs, each sentiment graph defining a sentiment; generating, by the processor, a graph sentiment score based on the non-domain specific knowledge graph and the sentiment graphs; generating, by the processor, a final sentiment score based on the graph sentiment score and the domain-specific machine learning sentiment score; and determining the sentiment of the information in the digital information or content via the final sentiment score.

Abstract: An apparatus configured to process, based on signals received from a network, beam based configuration information, where the beam based configuration information comprises configuration information for one or more individual beams received by a user equipment (UE) and operate in a discontinuous transmission (DTX) mode and/or a discontinuous reception (DRX) mode using the beam based configuration information.

Abstract: Disclosed are systems, methods, computer program products, and devices for fully- or semi-autonomously managing the launch and movement of an unmanned vehicle or fleet of unmanned vehicles. In some aspects, a system includes a centralized data management system in communication over a network (e.g., public or private network) with a coded (fleet of) unmanned vehicle(s) and client devices that are distributed throughout areas of interest and operable by remote users to remotely program instructions for controlling one or more activities or tasks of the unmanned vehicle with complete secrecy of the instructions and anonymity of the remote user between client devices.

Abstract: Systems and methods are provided for identifying salient biological features from molecular data to differentiate between biological outcomes. A biological sample, such as blood, plasma, serum, or liquefied tissue, is obtained from a subject and processed using chemical, mechanical, and/or enzymatic treatment. The prepared sample undergoes mass spectrometry and/or RNA sequencing to generate molecular feature data. A training set of feature vectors is generated. Each feature vector is associated with a known biological outcome. Decision values are computed to determine the features most relevant for outcome differentiation. Features with low decision values may be discarded. A classification model is constructed using the pruned feature set and applied to new biological samples to predict outcomes with a confidence score.

Abstract: Techniques for automated tagging of visual content are described. A pairwise model is used to encode images and videos with a vision encoder, and encode keywords and phrases from an interest graph with a text encoder. Similarity layers compare these cross-modality embeddings by calculating distance in a shared embedding space. Scores indicate the association between visual features and text. A pairwise loss function brings together matched pairs while separating non-matches during training. Scores exceeding a threshold tag content with relevant keywords and phrases. The pairwise architecture relates images and text despite limited associated text. It leverages vision-to-text understanding for accurate tagging without per-class labels. Contrastive similarity techniques associate visual patterns with textual concepts. Automated tagging organizes user-generated content by topics using this scalable cross-modality approach.

Abstract: A vehicle system includes a vehicle controller configured to detect a parking mode of a vehicle and generate a low-power command based on detecting the parking mode; a collision monitoring system; and a communication interface. The collision monitoring system includes a sensor controller configured to receive the low-power command via the communication interface, enter into a low-power mode, and set the communication interface into an idle communication mode during the low-power mode; a sensor configured to generate a sensor signal based on a measured property; and a processing circuit configured to compute, during the low-power mode, a derivative measurement at a plurality of sampling times based on the sensor signal, and compare each instance of the derivative measurement to a threshold. The sensor controller is configured to transmit a wake-up command to the vehicle controller via the communication interface based on the derivative measurement satisfying the threshold.

Abstract: The present disclosure provides a cross-correlation based method, a system and a storage medium for blind electromagnetic interference Doppler estimation from a single satellite geolocation system. The method includes at a first time, calculating a power spectral density (PSD) of a received signal; smoothing the PSD of the received signal using moving window average, and saving the smoothed PSD of the received signal as PSD0; at a next time, calculating a PSD of another received signal; smoothing the PSD of the another received signal using moving window average, and saving the smoothed PSD of the another received signal as PSD1; performing cross correlation between PSD0 and PSD1 to obtain a cross-correlation result; determining a peak position from the cross-correlation result; and obtaining a Doppler estimation based on a peak position shift between the peak position and a reference position.

Abstract: Systems and methods are described for maintaining bifurcated data management while labeling data for artificial intelligence model development. For example, the system may receive a first label for a first sample from a first dataset, wherein the first dataset is accessible to a first subset of a plurality of users, and wherein the first subset comprises a first attribute. The system may receive first version metadata of the first label, wherein the first version metadata comprises a proposed label for the first sample assigned by a first user. The system may determine, based on a first user input from the first user, a first grouping of source code files for storing the first version metadata, wherein the first grouping of source code files is accessible to a second subset of the plurality of users, and wherein the second subset comprises a second attribute.

Abstract: A railroad brake stick head has a head body formed of a lightweight durable material. A railroad brake stick head includes a head body having two opposing planar surfaces spaced apart by at least one sidewall that includes at least one concave sidewall region, wherein the head body is formed of a first material having a first hardness. At least one brace implant is at least partially embedded in at least one concave sidewall region, wherein each brace implant is formed of a second material having a second hardness that is harder than the first hardness. The head body includes at least one implant recess formed into the at least one concave sidewall region, and the at least one brace implant is in the at least one implant recess. Each brace implant can be coupled with the head body, such as by friction fit, adhesive, fastener, or combination thereof.

Abstract: A tubeless energy drainage device for trauma, pertaining to the field of tubeless drainage technology, especially relating to a tubeless energy drainage device for trauma. The device includes energy transmission carriers, lead wires, and a frequency electrical energy generator. The frequency energy resonance generator transmits electrical energy to the energy transmission carriers, activates metal potassium ions on the energy transmission carriers, and creates resonance through conduction of metal ions in a wound covering layer and changing frequency of a wound, thereby achieving retrograde drainage of the wound's own sinus in a drainage area. The device disclosed by the present invention is of great significance for the rapid and full drainage of intractable wounds and battlefield wounds, and the drainage, healing, and pain relief of minute wound fistulas that cannot be tubed.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive configuration information identifying locations of respective random access channel (RACH) resources for a plurality of beams associated with a non-terrestrial network, wherein the plurality of beams are associated with respective frequency regions. The UE may perform a RACH procedure with regard to the selected beam using a RACH resource associated with the selected beam. Numerous other aspects are provided.

Abstract: A system and method for digitally signing data. A method includes generating, by a first device, at least one first secret share based on a secret key chosen by the first device, wherein the first device is offline with respect to a second device; partially signing data by the first device using the at least one secret share, wherein the data is received from the second device without establishing direct communications between the first device and the second device; and sending the partially signed data from the first device to the second device, wherein the second device generates signed data using the partially signed data, wherein the signed data corresponds to a public key generated based on the at least one first secret share and at least one second secret share generated by the second device.

Abstract: The present invention provides a method for extracting a neuroimaging biomarker based on an interpretable ensemble three-dimensional convolutional neural network (3DCNN) to address limitations in the prior art. The present invention derives a novel neuroimaging biomarker P-score from prediction results obtained by an ensemble three-dimensional convolutional neural network model. The solution can help researchers to conduct studies on longitudinal trajectory changes of structural magnetic resonance imaging (sMRI) during the progression of Alzheimer's disease, and analyze an association of the longitudinal trajectory changes with neurodegenerative changes of Alzheimer's disease subjects. The extracted neuroimaging biomarker can provide a basis for predicting a sequence of intervention of brain regions in the neurodegenerative changes of Alzheimer's disease patients and upcoming clinical symptoms.

Abstract: The specification discloses methods of adjusting calibration data in an X-ray inspection system. Calibration data is initially generated. X-ray scan images of a cargo container are then acquired. Each of the X-ray scan images are segmented into regions of interest, where the regions of interest volumetrically encompass a known material or a material corresponding to a known HS code. Using the calibration data, first data indicative of Zeff of each of the regions of interest are determined. The first data is compared with second data indicative of known Zeff corresponding to the known materials and/or HS codes. The calibration data is then adjusted to generate a second calibration data if the first and second data differ significantly. The calibration data is replaced by the second calibration data in the memory.