Abstract: An operation method for non-SDT, performed by a terminal, may comprise: initiating or triggering an SDT operation with a base station; identifying occurrence of a non-SDT packet in a state in which the SDT operation is initiated or triggered; determining whether a condition for performing transmission of the non-SDT packet is satisfied when the occurrence of the non-SDT packet is identified; and in response to determining that the condition is satisfied, performing the transmission of the non-SDT packet.

Abstract: A TEFT includes a drain region on a substrate, a channel on the drain region, a dipole formation layer (DFL) on the channel, a dipole formation layer (DFL) on the channel, a source region on the DFL, a gate insulation pattern surrounding the channel, and a gate electrode surrounding the gate insulation pattern. The DFL contacts the channel and the source region and form dipoles between the channel and the source region.

Abstract: Disclosed is a control method of a damper of a variable-air-volume air distributor and a control system thereof, mainly comprising a volume adjusting valve for the variable-air-volume air distributor, a valve actuator, a BP neural network-based main controller, a data collector and a user operation panel. The control method thereof is to use, mainly based on the collected room temperature and static pressure at the inlet of the air distributor, the BP neural network predictive model to establish a nonlinear model of temperature & static pressure and valve opening, perform training and optimization, and optimize the output valve opening to obtain and label an optimal value as the set value of the controller to control the action of the valve actuator, thereby realizing an automatic variable air volume.

Abstract: The present invention relates to an universal integrated environmental monitoring and management technique for operating underground storage sites of gaseous substances including CO2 capture and storage (CCS) site. According to the present invention, Firstly, a base dataset for observed soil gases and related surrounding environmental variables by a step of configuring/refining procedures. Next, extracting the time varying characteristics of the base dataset using wavelet-based multiresolution state-space modeling, and identifying the driving forces that governing the soil gases dynamics and evaluating their contributions through multiscale time-frequency domain correlation analysis. And finally, predicting and forecasting future scenarios with deep leaning models which intensively trained by the key driving forces. Furthermore, the present invention can provide quantitative based for analyzing the causation between driving forces and observed soil gases.

Abstract: A method of treating Alzheimer's Disease (AD) is disclosed. The method comprises administering to the subject a therapeutically effective amount of an agent which prevents the binding of amyloid precursor protein (APP) to Tau protein.

Abstract: Medicament containment devices and systems as well as related methods of use for administering a medicament or therapeutic composition or agent to a subject are disclosed and described. In one embodiment, a containment device can include a containment reservoir configured to receive a medicament or therapeutic agent. The containment device can be configured to be secured to a treatment area of a subject and the containment reservoir can be loaded with the medicament or therapeutic agent for administration to the subject in a localized targeted treatment area.

Abstract: A double-stranded nucleic acid complex is a double-stranded nucleic acid complex including a first nucleic acid strand and a second nucleic acid strand bonded to each other, the second nucleic acid strand including a complementary region having a base sequence complementary to the first nucleic acid strand; the first nucleic acid strand including natural nucleosides and non-natural nucleosides; some of the nucleosides in at least one nucleic acid strand selected from the group consisting of the first nucleic acid strand and the second nucleic acid strand being bonded together by bonds including asymmetric phosphorus atoms; and absolute configurations of the asymmetric phosphorus atoms being regulated.

Abstract: A gas lift system for lifting oil with a production tube positioned inside a well casing with manifolds in the production tube spaced apart from each other; the system including valve assemblies on the manifolds that each have an open position and a closed position, each of the valve assemblies including a biasing device that biases the valve towards the closed position, where pressurizing each valve assembly with a control fluid generates a force that acts against the biasing force of the biasing device to open the valve, and a means to selectively control the pressure of the control fluid in the control line, where each of the valve assemblies includes different biasing forces in each valve, with a topmost valve having a highest biasing force and each sequentially lower valve having a lower biasing force. A method for using the gas lift system is also included.

Abstract: Articles and methods for increasing the triplet upconversion threshold, e.g., by utilizing a triplet exciton acceptor lower in energy than the sensitizer or upconverter, are generally described. Some embodiments, for example, are directed to articles and methods that use a triplet sensitizer, an upconverter, and an acceptor to produce upconverted photons (e.g., light of a second energy). The light can be used to polymerize a polymerizable species. Other upconversion configurations can also be used in other embodiments. In some cases, this may allow true 3D printing to be achieved due to improved control of light absorption, e.g., without needing to “print” on a layer-by-layer basis.

Abstract: A detection device includes processing circuitry configured to collect communication information in a network including clients and servers, generate a matrix representing states of access from the clients to the servers using the communication information collected, aggregate a plurality of the clients accessing a target server and generate statistical information of similiarities between the aggregated clients in the matrix as a feature amount of the target server, learn, with regard to the target server which is a server for which it is known whether the server is a malicious server, a model for determining whether a server is a malicious server using the feature amount generated, and determine, with regard to the target server which is a server for which it is unknown whether the server is a malicious server, whether the target server is a malicious server using the feature amount generated and the model.

Abstract: Method of recognizing a SPO tuple relationship based on deep learning includes reading a natural language sentence stored in a first storage in which a natural language sentence and an SPO tuple are configured in pairs and stored, generating dependent syntax relationship information by parsing a dependent syntax from the natural language sentence, reading the SPO tuple paired with the natural language sentence stored in the first storage, generating dependent-syntax-based first SPO tuple relationship information for training a deep learning model based on the SPO tuple, the natural language sentence, and the dependent syntax relationship information, performing embedding on the dependent syntax relation information, recognizing second SPO tuple relationship information by inputting the embedded dependent syntax relationship information to a multi-layered bidirectional time series neural network model, and training the deep learning model by comparing the first and second SPO tuple relationship information.

Abstract: A wireless device driving method includes hiding a header emulated with a second protocol in a payload of a packet defined with a first protocol and transmitting the emulated header at a transmission side, receiving the emulated header and an ambient signal at a reception side, and decoding the ambient signal according to the second protocol to obtain a bit sequence.

Abstract: A display unit (16) outputs a stimulating image to an external display device (20). The stimulating image is obtained by synthesizing a luminance map in which luminance of each pixel is set in such a manner that a change in the luminance along a first axis follows a given spatial frequency, and a contrast map in which contrast of each pixel is set in such a manner that the contrast gradually decreases from one end to another end along a second axis and that an equal contrast line forms a given waveform. A response data generation unit (22) acquires a contrast value corresponding to each of the coordinates acquired by a user input receiving unit (21). A sensitivity calculation unit (23) calculates contrast sensitivity. A result output unit (25) outputs contrast sensitivity while adding reliability of the contrast sensitivity calculated by a reliability calculation unit (24) thereto.

Abstract: The present disclosure relates to a method and apparatus for split liability assessment of a car accident video using deep learning. The method for split liability assessment of a car accident video using deep learning according to an embodiment of the present disclosure may include: (a) obtaining car accident video data; and (b) outputting accidental split liability information by applying the obtained car accident video data to an accidental split liability determination model.

Abstract: A health management apparatus based on a neuromuscular skeletal model receives a medical image of a user, and models a skeleton, an external shape, and a muscle of the user in three dimensions based on the medical image to generate a neuromusculoskeletal model of the user. The health management apparatus receives motion data generated based on a motion of the user, and updates the neuromusculoskeletal model based on the motion data. The health management apparatus performs a simulation on the updated neuromusculoskeletal model, and generates an exercise or rehabilitation program of the user based on a result of the simulation.

Abstract: Provided is an IoT GW (10), including a learning unit (131) configured to create, for each IoT device connected to the IoT GW (10), a normal communication model (122) that has learned a normal communication pattern of the IoT device; and a determination unit (132) configured to: determine, for learning by the learning unit (131), whether to interrupt, finish, continue, and resume learning based on a load of a learning environment; and control learning processing by the learning unit (131) based on a result of determination.

Abstract: Disclosed are systems and methods for intelligent, real-time network consumption tracking and traffic steering in fifth-generation (5G) networks via a network configuration and implementation. The disclosed hybrid network traffic steering is effectuated by using Diameter Routing Agent (DRA) and Subscriber Location Function (SLF) to route/steer fourth-generation (4G) network traffic by 5G subscribers to a 5G Charging Function (CHF) for 4G fallback network consumptions. Network currency consumption tracking is performed by the 5G CHF. The CHF dictates policy rules for 5G networks via the Policy Control Function (PCF) of the 5G Core, and dictates policy rules for 4G networks via the Policy and Charging Rules Functions (PCRF) for fallback sessions.

Abstract: An entangled quantum cache includes a quantum store that receives a plurality of quantum states and is configured to store and order the plurality of quantum states and to provide select ones of the stored and ordered plurality of quantum states to a quantum data output at a first desired time. A fidelity system is configured to determine a fidelity of at least some of the plurality of quantum states. A classical store is coupled to the fidelity system and configured to store classical data comprising the determined fidelity information and an index that associates particular ones of classical data with particular ones of the plurality of quantum states and to supply at least some of the classical data to a classical data output at a second desired time. A processor is connected to the classical store and determines the first time based on the index.

Abstract: Disclosed herein is a method for selectively reducing, using electrical energy, CO2 to carbon monoxide, a catalyst for use in the method, and an electrochemical reduction system.

Abstract: The present invention provides a novel process for preparing an oligosaccharide C-glycoside derivative of formula I, comprising reacting a compound of formula II with compound of formula III in the presence of at least one primary or secondary amine and at least one additive [in the formulae, the substituents are as defined herein], and novel oligosaccharide C-glycoside derivatives that can be prepared using the process.