Abstract: An optical fiber module is provided and includes an optical fiber structure, a light-absorbing area and a photoelectric sensor in a housing. The optical fiber structure collectively arranges a plurality of first optical fibers to form at least one optical fiber bundle with a tapered end, and a second optical fiber is connected to the tapered end of the optical fiber bundle to converge the optical fiber bundle to the second optical fiber. The light-absorbing area corresponds to an end of the second optical fiber, such that the light-absorbing area absorbs scattering signals escaped and scattered when signals are transmitted from the plurality of first optical fibers to the second optical fiber. The photoelectric sensor is arranged corresponding to the plurality of first optical fibers to receive target signals escaped and refracted when the signals are transmitted from the second optical fiber to the plurality of first optical fibers.

Abstract: A sidelink communication method, a terminal device, and a network device are provided. In some embodiments, a terminal device receives resource configuration information sent by a network device, where the resource configuration information is for configuring a common resource for the terminal device, and the common resource is a resource that is configured by the network device for all terminal devices within coverage of the network device and that is to be used by all the terminal devices to perform sidelink communication. The terminal device receives sidelink BWP indication information sent by the network device, where the sidelink BWP indication information indicates N sidelink bandwidth parts SL-BWPs, and the N SL-BWPs include a frequency domain resource corresponding to the common resource, where N is a positive integer. The terminal device performs sidelink communication with another terminal device in the N SL-BWPs.

Abstract: Method, computer program product, and computer system are provided. Traffic is collected against a NoSQL database by an activity collector. A database transaction log is periodically extracted and analyzed. The collected traffic and the analyzed database transaction log are input to building a knowledge base of database access patterns. Current traffic is captured and used to compute an activity threshold. Traffic is directed to a workload processor based on the activity threshold. Traffic is directed to an intensive insert/update/delete (IUD) processor in response to the activity threshold exceeding a configured threshold. A plurality of temporary shards is generated along with an adaptive key and adaptive index in the plurality of temporary shards. The intensive IUD processor traffic is re-directed to the plurality of temporary shards while the activity threshold exceeds the configured threshold.

Abstract: A light-emitting panel has a light-emitting area and an isolation area adjacent to the light-emitting area The light-emitting panel comprises a base substrate and a barrier structure, wherein the barrier structure is arranged on one side of the base substrate and located in the isolation area, and comprises a first isolation pattern, a second isolation pattern, a third isolation pattern and a fourth isolation pattern, which are sequentially arranged in a stacked manner, and the first isolation pattern is closer to the base substrate than the fourth isolation pattern; and an orthographic projection of the first isolation pattern on the substrate is located in an orthographic projection of the second isolation pattern on the base substrate, and an orthographic projection of the third isolation pattern on the base substrate is located in an orthographic projection of the fourth isolation pattern on the base substrate.

Abstract: An embodiment includes generating a caller list of callers that issue requests for calling a designated program at runtime. The embodiment also includes generating an authorized caller list of authorized callers allowed to call the designated program, wherein the authorized callers are selected from among callers on the caller list. The embodiment also includes generating an authorization key for each of the authorized callers that the designated program will require as a condition for completing call requests.

Abstract: Methods and systems for executing tracking and monitoring manufacturing data of a battery are disclosed. One method includes: receiving, by a server system, sensing data of the battery from a sensing system; generating, by the server system, mapping data based on the sensing data; generating, by the server system, identification data of the battery based on the sensing data; generating, by the server system, monitoring data of the battery based on the sensing data, the identification data, and the mapping data; and generating, by the server system, display data for displaying a simulated electrode of the battery on a graphical user interface based on the monitoring data of the battery.

Abstract: The present disclosure relates to a water electrolysis apparatus including a diaphragm for removing a dissolved gas from an electrolyte. By separating a dissolved gas present in an electrolyte through a diaphragm provided in a gas-liquid separator or an electrolyte circulation line, the water electrolysis apparatus can increase the efficiency of production of the dissolved gas in the electrolyte while preventing a gas composition from reaching an explosive limit in a gas phase region of the water electrolysis apparatus.

Abstract: One or more computer processors generate a debug chain from one or more similar resource bound breakpoints, wherein the debug chain provides dynamic code flow. The one or more computer processors distribute the generated debug chain to one or more tenants.

Abstract: A method for training a deep neural network (DNN) capable of adversarial detection. The DNN is configured with a plurality of sets of weights candidates. The method includes inputting training data selected from training data set to the DNN. The method further includes calculating, based on the training data, a first term for indicating a difference between a variational posterior probability distribution and a true posterior probability distribution of the DNN. The method further includes perturbing the training data to generate perturbed training data; and calculating a second term for indicating a quantification of predictive uncertainty on the perturbed training data. The method further includes updating the plurality of sets of weights candidates of the DNN based on augmenting the summation of the first term and the second term.

Abstract: A work light including a body defining a first end, a second end opposite the first end, a length extending between the first end and the second end, and a pivot axis extending parallel to the length. The first end includes a power button. The work light further includes a light source head pivotally coupled to the body to pivot about the pivot axis and configured to be operated by the power button. The light source head includes a planar light panel having a plurality of light emitting diodes aligned in a direction parallel to the pivot axis. The work light further includes a battery receptacle disposed on the body and configured to receive at least a portion of a battery. The battery couples to the battery receptacle by sliding into the battery receptacle along the direction parallel to the pivot axis.

Abstract: A molding method for a cover window includes: locally heating a peripheral portion of a glass substrate around a central portion of the glass substrate to a temperature of about 610° C. to about 670° C., forming a cover window by pressing the glass substrate, and annealing and cooling the cover window. Accordingly, a cover window in which each of edges has an outwardly convex curved surface through a glass substrate may be formed. In addition, the surface roughness of a cover window formed through a glass substrate may be improved.

Abstract: A method for generating adversarial examples for a Graph Neural Network (GNN) model. The method includes: determining vulnerable features of target nodes in a graph based on querying the GNN model, wherein the graph comprising nodes including the target nodes and edges, each of the edges connecting two of the nodes; grouping the target nodes into a plurality of clusters according to the vulnerable features of the target nodes; and obtaining the adversarial examples based on the plurality of clusters.

Abstract: A bitter masking agent includes a biochelant and a salt. A composition for an additive to reduce bitterness includes a chelant sodium salt including an aldonic, uronic, or aldaric acid. The bitter masking agent or additive comprising the biochelant and the salt can be combined with an edible material to reduce the bitterness thereof.

Abstract: A system may include a memory and a processor in communication with the memory. The processor may be configured to perform operations. The operations may include training a model. The operations may include enhancing the model with reinforcement learning and improving stability of the model with a graph neural network model. The operations may include predicting, with the model, a resource cost of a node and deploying the node.

Abstract: A display device includes a display panel including a front surface and a second surface which is opposite to the front surface; a front laminated structure attached to the front surface of the display panel; and a rear laminated structure attached to the second surface of the display panel. Each of the front laminated structure and the rear laminated structure includes a bonding member, and an average modulus of the bonding member of the front laminated structure is smaller than an average modulus of the bonding member of the rear laminated structure.

Abstract: An exhaust duct assembly includes: a case having an inner space; a duct inserted into an inner space of the case, the duct including an inlet through which an exhaust gas is introduced, and an exhaust port through which the exhaust gas is exhausted; a stiffener configured to attach the duct to the case; and a connector disposed on the exhaust port, wherein the duct, the stiffener and the connector are welded to one another such that at least a portion of each of the duct, the stiffener and the connector overlaps one another in a first direction.

Abstract: An eco-friendly biodegradable molded article, which includes a polyester resin including a diol, an aromatic dicarboxylic acid and an aliphatic dicarboxylic acid, wherein a biodegradability per hydrolysis degree of the biodegradable molded article is 1.35 or more, wherein the biodegradability per hydrolysis degree is obtained by dividing a biodegradability after nine weeks by a hydrolysis degree after one week, wherein the biodegradability after nine weeks and the hydrolysis degree after one week are measured by a measurement method below.

Abstract: A sensor-cluster apparatus includes: sensors configured to detect and collect external environment information, the sensors including one or more kinds of sensors; a body member having one surface onto which the sensors are mounted; a case on which the body member is fixed, the case including: an inner space in which the body member is mounted; and an opening defined in one surface thereof exposing the inner space, the sensors are exposed through the opening; and a cover configured to open and close the opening of the case, wherein, the sensors are configured to be detached from the body member through the opening of the case with the body member fixed to the case.

Abstract: An eco-friendly biodegradable polyester resin composition includes: a polyester resin including a diol, an aromatic dicarboxylic acid and an aliphatic dicarboxylic acid; and 5000 ppm to 20000 ppm of a hydrophilic regulator having a molecular weight of 400 to 1300.