Abstract: The present disclosure provides for splice-switching oligonucleotides (SSOs) targeted to a nucleic acid encoding a transposable element (TE)-driven isoform of LIN28B, such as AluJb-LIN28B. The SSOs may be targeted to an exon-intron or intron-exon junction to inhibit splicing and expression of the TE-driven isoform of LIN28B. Methods of treating cancer, particularly cancers expressing AluJb-LIN28B, comprising administering the SSOs are also provided.

Abstract: A power system including a first battery pack, a second battery pack, and a power management circuit is disclosed. The first battery pack has a first end and a second end, and has a first battery capacity. The second battery pack has a third end and a fourth end. The third end is coupled to the second end of the first battery pack and provides a low battery voltage. The fourth end is grounded, the second battery pack has a second battery capacity, and the second battery capacity is greater than the first battery capacity. The power management circuit is coupled to the second battery pack to receive the low battery voltage, and provides a component operating voltage to an electronic components based on the low battery voltage.

Abstract: An image sensor structure including a substrate, a first pixel structure, a second pixel structure, a dielectric layer, and a conductive layer stack is provided. The first pixel structure includes a first light sensing device. The second pixel structure includes a second light sensing device. The conductive layer stack includes conductive layers. The conductive layer stack has a first opening and a second opening. The first opening is located directly above the first light sensing device and passes through the conductive layers. The second opening is located directly above the second light sensing device and passes through the conductive layers. The second minimum width of the second opening is smaller than the first minimum width of the first opening. The luminous flux of the second pixel structure is different from the luminous flux of the first pixel structure.

Abstract: A separator for a lithium battery and a method for manufacturing the same are provided. The separator includes a substrate layer and a coating layer. The substrate layer is a polyolefin porous film and has a substrate thickness ranging from 10 to 30 micrometers. The coating layer is coated on the substrate layer, and has a coating layer thickness ranging from 1 to 5 micrometers. The coating layer includes a heat-resistant resin material and a plurality of inorganic ceramic particles glued in the heat-resistant resin material. The heat-resistant resin material has a melting point (Tm) or a glass transition temperature (Tg) of not less than 150° C. An average particle size of the inorganic ceramic particles is 10% to 40% of the coating layer thickness of the coating layer. The inorganic ceramic particles are stacked in the coating layer with a height of at least three layers.

Abstract: A terminal and a receptacle connector are provided. The terminal comprises a soldering segment, an upright arm and a bending arm. The soldering segment has a first end portion and the upright arm extends upwardly from the first end portion. The bending arm bends back and obliquely extends upwardly close to the upright arm and includes an upper bending segment and a contact segment extends upwardly from the upper bending segment. A shoulder portion is formed at each of at least one side edge of two side edges of each of at least one of the upright arm and the bending arm, the two side edges are connected with the soldering segment, the shoulder portion protrudes relative to a corresponding side edge of the soldering segment.

Abstract: Aspects of the present disclosure describe distributed fiber optic sensing (DFOS) systems, methods, and structures that employ a distributed fiber optic sensor placement procedure that advantageously provides a desirable sensor coverage over a network at minimal cost.

Abstract: The present disclosure discloses an intelligent mapping method for a cloud tenant virtual network based on a reinforcement learning model, where a mapping algorithm is used to combine a resource abstraction model, Blocking Island, with a deep reinforcement learning algorithm, Actor-Critic, reasonably abstract underlying network resources by means of the Blocking Island model, and efficiently represent resource connectivity information of the entire network with an amount of available resources between nodes as a lower bound. The method specifically includes: (1): completing modeling of virtual network embedding; (2): modeling computing resources and bandwidth resources in a physical network; (3): constructing a neural network; and the like. Compared with the prior art, the present disclosure has better performance in average mapping cost, benefit-cost ratio, total benefit value and mapping success rate, further improves mapping accuracy, reduces the average mapping cost, and has a wide application prospect.

Abstract: A device may receive, from a fiber sensor device, sensing data associated with a fiber optic cable, the sensing data being produced by an activity that poses a threat of damage to the fiber optic cable, and the sensing data identifying: amplitudes of vibration signals, frequencies of the vibration signals, patterns of the vibration signals, times associated with the vibration signals, and locations along the fiber optic cable associated with the vibration signals. The device may process, with a machine learning model, the sensing data to determine a threat level of the activity to the fiber optic cable, the machine learning model having been trained based on historical information regarding detected vibrations, historical information regarding sources of the detected vibrations, and historical information regarding threat levels to the fiber optic cable. The device may perform one or more actions based on the threat level to the fiber optic cable.

Abstract: A data-driven street flood warning system that employs distributed fiber optic sensing (DFOS)/distributed acoustic sensing (DAS) and machine learning (ML) technologies and techniques to provide a prediction of street flood status along a telecommunications fiber optic cable route using the DFOS/DAS data and ML models. Operationally, a DFOS/DAS interrogator collects and transmits vibrational data resulting from rain events while an online web server provides a user interface for end-users. Two machine learning models are built respectively for rain intensity prediction and flood level prediction. The machine learning models serve as predictive models for rain intensity and flood levels based on data provided to them, which includes rain intensity, rain duration, and historical data on flood levels.

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: An automotive front seat overhead airbag includes a supporting air chamber and a protective air chamber mounted on a roof. The supporting air chamber is inflated from the roof towards a dashboard upon inflation. The protective air chamber is in communication with the supporting air chamber. After the supporting air chamber is inflated, the protective air chamber is inflated from the supporting air chamber towards the human body. A first protective space is reserved between the supporting air chamber and the protective air chamber on a side facing the human body. The first protective space corresponds to the head of the human body for protecting the head and neck of the human body. An automobile includes a roof and a dashboard, and further includes the automotive front seat overhead airbag described above. An upper end of the supporting air chamber is connected to a gas generator.

Abstract: Provided are devices for camera cleaning and flare reduction for vehicles, which can include a cleaning device for cleaning a transparent window of a housing containing a camera system. The devices can include optical panels with different properties that can be moved in front of the transparent window for flare reduction. Methods are provided which can include analyzing at least one image to determine a presence of an optical flare within the at least one image, and, based on detecting the optical flare, causing at least one optical panel to be moved into a position in front of a lens of the imaging device. Computer program products are also provided.

Abstract: Provided are methods for generation of representations of radar data. Some methods described include: receiving ADC raw data of a radar sensor of a vehicle; performing range FFT, Doppler FFT, and azimuth FFT on the ADC raw data; generating a 1D range heat map tensor representing the range FFT, a 2D RD heat map tensor representing a combination of the range FFT and the Doppler FFT, a 2D RA heat map tensor representing a combination of the range FFT and the azimuth FFT, or a 3D RAD matrix tensor representing a combination of the range FFT, the Doppler FFT, and the azimuth FFT; and inputting at least one of the 1D range heat map tensor, the 2D RD heat map tensor, the 2D RA heat map tensor, or the 3D RAD matrix tensor, to a machine learning model for detecting objects on a road network around the vehicle.

Abstract: A corneal implant with adhesion-increase treatment is associated with a method for increasing the adhesion of the artificial corneal implant by an epoxy-amine ring-opening reaction of the polyamino high-molecular polymer and glycidyl methacrylate to obtain a methacrylate modified polyamino polymer. The method improves the adhesion and biocompatibility of the artificial corneal endothelial sheet by photo-initiated free radical polymerization reaction, and has a high oxygen permeability and a high adhesion. It can be used for treating patients with corneal endothelial decompensation, playing a barrier role to block aqueous humor, eliminating corneal edema, and reducing the risk of corneal graft detachment after surgery.

Abstract: Systems and methods for utility pole localization employing a DFOS/DAS interrogator located at one end of an optical sensor fiber remotely capture dynamic strains on the optical sensor fiber induced by acoustic events. A captured two-dimensional spatiotemporal map in an ambient noisy environment is analyzed by a trained machine learning model which then automatically detects an area in which a pole is located without requiring domain knowledge. Original DFOS/DAS signals are separated into pole regions and non-pole region time series for machine learning model training. A contrastive loss function measures similarities between low-frequency and high-frequency features. A Gaussian distribution is applied to the original signals to generate weighted labels to eliminate effects of label noise. The machine learning model fuses low-frequency and high-frequency features in the frequency domain for pole region classification.

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: Described is a novel framework, we call intent-based computing jobs assignment framework, for efficiently accommodating a clients' computing job requests in a mobile edge computing infrastructure. We define the intent-based computing job assignment problem, which jointly optimizes the virtual topology design and virtual topology mapping with the objective of minimizing the total bandwidth consumption. We use the Integer Linear Programming (ILP) technique to formulate this problem, and to facilitate the optimal solution. In addition, we employ a novel and efficient heuristic algorithm, called modified Steiner tree-based (MST-based) heuristic, which coordinately determines the virtual topology design and the virtual topology mapping. Comprehensive simulations to evaluate the performance of our solutions show that the MST-based heuristic can achieve an efficient performance that is close to the optimal performance obtained by the ILP solution.

Abstract: Provided are methods for cascade camera image signal processing (ISP) tuning, which can include receiving first image data at a first time associated with a first image sensor of a camera, generating at least one tuned first ISP block parameter for at least one first ISP block based on the first image data and first tuning criterion, receiving second image data at a second time, and generating at least one tuned second ISP block parameter for at least one second ISP block based on the second image data and second tuning criterion. Some methods described also include tuning parameters of at least one ISP block of a camera after receiving tuned parameters. Some methods describe also include generating an image using ISP blocks tuned using various tuning criteria. Systems and computer program products are also provided.

Abstract: Embodiments of the present application provide an electroplating method and an electroplating apparatus. The electroplating method includes: before putting wafers into an electroplating solution to undergo an electroplating process, adding particles into the electroplating solution, and applying ultrasonic waves to the electroplating solution, so as to remove bubbles in the electroplating solution by oscillation; removing the particles in the electroplating solution; and putting the wafers into the electroplating solution to undergo the electroplating process.

Abstract: The present disclosure provides a speaker diaphragm and a speaker. The diaphragm includes a thermoplastic polyester elastomer film layer, a thermoplastic polyester elastomer being a copolymer composed of a hard segment A of polyester and a soft segment B of polyether or aliphatic polyester, wherein the thermoplastic polyester elastomer film layer has Young's modulus of 1-1000 MPa, with an elastic recovery rate after 10% strain being greater than or equal to 80%. The speaker diaphragm has a good stiffness, a good damping performance and a good resilience.