Abstract: A composition comprises (A) a mineral oil having a viscosity from 32 cSt to 100 cSt at 40° C.; (B) a styrene-ethylene/propylene diblock copolymer; and (C) from 1 wt % to less than 5 wt % polystyrene having a weight average molecular weight (Mw) from 1,000 to 100,000. The composition is used as a filling composition in a buffer tube.

Abstract: A filling composition comprises (A) a mineral oil having a kinematic viscosity from 80 cSt to 100 cSt at 40° C.; (B) a styrene-ethylene/propylene diblock copolymer; and (C1) a propylene/ethylene copolymer having a weight average molecular weight (Mw) from 5,000 to 200,000 or (C2) an ethylene/propylene copolymer having a weight average molecular weight (Mw) from 5,000 to 200,000. The filling composition is used as a filling composition in a buffer tube.

Abstract: Various examples are disclosed for forecasting resource usage and computing capacity utilizing an exponential decay. In some examples, a computing environment can obtain usage measurements from a data stream over a time interval, where the usage measurements describe utilization of computing resource. The computing environment can generate a weight function for individual ones of the usage measurements, where the weight function exponentially decays the usage measurements based on a respective time period at which the usage measurements were obtained. The computing environment can forecast a future capacity of the computing resources based on the usage measurements and the weight function assigned to the individual ones of the usage measurements. The computing environment can further upgrade a forecast engine to use the exponential decay without resetting the forecast engine or its memory.

Abstract: Computational methods and systems to detect anomalous behaving resources and objects of a distributed computing system are described. Multiple streams of metric data representing usage of various resources of the distributed computing system are sent to a management system of the distributed computing system. The management system updates a performance model based on newly received metric values of the streams of metric data. The updated performance model is used to detect changes in one or more of the streams of metric data. The changes may be an indication of anomalous behavior at resources and objects associated with the streams of metric data. An anomaly listener is notified of anomalous behavior by the resource or object when a change in one or more of the streams of metric data is detected.

Abstract: Computational methods and systems for detecting and troubleshooting anomalous behavior in distributed applications executing in a distributed computing system are described herein. Methods and systems discover nodes comprising the application. Anomaly detection monitors the metrics associated with the nodes for anomalous behavior in order to identify an approximate point in time when anomalous behavior begins to adversely impact performance of the application. Anomaly detection also monitors logs messages associated with the nodes to detect anomalous behavior recorded in the log messages. When anomalous behavior is detected in either the metrics and/or the log messages an alert identifying the anomalous behavior is generated. Troubleshooting guides an administrator and/or application owner to investigate the root cause of the anomalous behavior. Appropriate remedial measures may be determined based on the root cause and automatically or manually executed to correct the problem.

Abstract: The present disclosure relates to reconstructing an image.

Abstract: A high-voltage electric pulse device for crushing pretreatment of ores includes an ore feeding bin, a pulse insulating barrel body, a supporting frame, a pulsation device, a product collector and a power supply. The pulse insulating barrel body and the pulsation device are assembled together, a pulsation insulating barrel body is connected with an actuating diaphragm, the actuating diaphragm is connected with an ore discharging outlet, a pulsation cone is arranged in the ore discharging outlet, the pulsation cone is hinged to a connecting rod, and the connecting rod is hinged to an eccentric wheel. Expanding and contracting devices are arranged on a cover plate, a copper bar of each expanding and contracting device is connected to a corresponding high-voltage ceramic capacitor through a high-voltage wire in parallel. A high-voltage negative pole is mounted on a screen cloth at the pulse insulating barrel body.

Abstract: The present invention provides a liquid band-aid containing peptide anti-inflammatory active ingredient and a preparation method thereof, which belong to the technical field of medical materials. The liquid band-aid includes film-forming agent, plasticizer, anti-inflammatory substance, and solvent, where the plasticizer includes glycerin, the solvent includes deionized water, and the anti-inflammatory substance includes high F-value oligopeptide with an amino acid sequence of Leu-Leu-Phe-Thr-Thr-Gln and a molecular weight of 736.52 Da. The liquid band-aid can promote the expression of interleukin 10 (IL-10) and inhibit the expressions of cytokine interleukin 6 (IL-6) and tumor necrosis factor (TNF-?), and thus have good anti-inflammatory activity. The liquid band-aid further enhances the close contact between gel and an injured skin surface, increases the cleanliness of a wound surface, and improves the clearance rate of inflammatory cells.

Abstract: The present disclosure relates to a high-pitched loudspeaker, which widens the starting frequency of the high-pitched loudspeaker, and the high-pitched loudspeaker has a smoother intermediate frequency curve and less distortion. A high-pitched loudspeaker comprises a magnetic circuit system, a voice coil, and a diaphragm connected to the voice coil, wherein a first cavity is formed between the magnetic circuit system and the voice coil and the diaphragm, the high-pitched loudspeaker further comprises a back cover, the magnetic circuit system is arranged between the diaphragm and the back cover, and a second cavity is formed between the back cover and the magnetic circuit system, a through-hole is opened on the magnetic circuit system which communicates the first cavity and the second cavity to constitute an air gap cavity of the high-pitched loudspeaker.

Abstract: The present disclosure provides a method for manufacturing a thin film transistor, a thin film transistor, and a display apparatus. The method for manufacturing a thin film transistor includes: forming a gate layer on a substrate; forming a gate insulating layer on the gate layer; forming an active layer on the gate insulating layer; forming a source/drain layer on the active layer; and performing a plasma bombardment treatment on a surface of the active layer on which the source/drain layer is formed, and controlling the plasma bombardment treatment to be performed at a gas flow rate of 4K sccm to 70K sccm, at a pressure of 600 mTorr to 1200 mTorr, at a power of 4 KW to 12 KW for a treatment time of 10 s to 60 s.

Abstract: A radio frequency transmitter includes a digital-to-analog converter, an analog baseband processor, and a modulator. The digital-to-analog converter is configured to convert a digital frequency-converted signal into a first analog signal, where the digital frequency-converted signal is obtained by performing digital frequency conversion on a digital baseband signal based on a first frequency signal; the analog baseband processor is configured to perform filtering and gain adjustment on the first analog signal to obtain a second analog signal; and the modulator is configured to perform up conversion based on a second frequency signal and the second analog signal, to obtain a radio frequency signal, where the second frequency signal is determined based on a local frequency signal and the first frequency signal.

Abstract: A method and system obtaining positioning data from an object traveling on a plurality of routes; mapping the data into a plurality of points on a digital map; identifying points that are unmatched to the stored route trajectory; obtaining candidate transition points from the unmatched points; aggregating the candidate transition points by applying a clustering algorithm; selecting a first cluster of points and a plurality of second clusters of points, determining a confidence level that the first cluster of points are transition points indicating a transition between the routes, classifying the first cluster of points as a first plurality of traveling points having a first direction in response to the confidence being below a threshold confidence and automatically adjusting the stored route trajectory to indicate that the first cluster of points are on the route trajectory.

Abstract: An amide derivative inhibitor and a preparation method and an application thereof are provided. Specifically, a compound shown in general formula (I), a preparation method for same, a pharmaceutical composition containing the compound, and an application of same as an ASK inhibitor are provided. The disclosed compounds can be used for the treatment of neurodegenerative diseases, cardiovascular diseases, inflammation, autoimmune and metabolic diseases. Each of the substituents in the general formula (I) is as defined in the description.

Abstract: A system and method are provided for identifying security risks in a computer system. The system includes an event stream generator configured to collect system event data from the computer system. The system further includes a query device configured to receive query requests that specify parameters of a query. Each query request includes at least one anomaly model. The query request and the anomaly model are included in a first syntax in which a system event is expressed as {subject-operation-object}. The system further includes a detection device configured to receive at least one query request from the query device and continuously compare the system event data to the anomaly models of the query requests to detect a system event that poses a security risk. The system also includes a reporting device configured to generate an alert for system events that pose a security risk detected by the detection device.

Abstract: Embodiments of the present invention disclose a virtual network device. The virtual network device is configured to implement a broadband network gateway BNG function, and the virtual network device includes a load balance unit and a first forwarding unit; the load balance unit is configured to: receive a first data packet from a first user terminal, determine the first forwarding unit according to the first data packet and a first correspondence, and send the first data packet to the first forwarding unit, where the first correspondence indicates mapping from the first user terminal to the first forwarding unit; and the first forwarding unit is configured to receive and forward the first data packet. In addition, the embodiments of the present invention further disclose a method for implementing load sharing in a virtual network device.

Abstract: A frequency multiplier, a digital phase-locked loop circuit, and a frequency multiplication method, where the frequency multiplier includes a clock controller configured to: receive an output signal from a time-to-digital converter in the digital phase-locked loop circuit, and generate a control signal based on a duty cycle error of the output signal, a clock calibration circuit configured to: receive a reference clock signal, calibrate a duty cycle of the reference clock signal based on the control signal, and output a calibrated clock signal, and a clock frequency multiplier configured to: receive the calibrated clock signal, multiply a frequency of the calibrated clock signal, and output a frequency multiplied signal to the time-to-digital converter.

Abstract: Methods, systems, and storage components for utilizing a deep neural network(s) for classifying at least one medical image. A deep neural network (DNN) can be configured by an image processing component to contain at least one revived neuron, where the revived neuron has an adjusted value based on a focus-learning function that is transferred to the DNN by the image processing component, where the focus-learning function provides the adjustment by updating the DNN with data that contains a corrected classification with respect to at least one normal image sample derived from a medical image, and where the correction is based on the focus-learning function comparing an annotation associated with an abnormal image sample derived from the medical image to another annotation associated with the at least one normal image.

Abstract: Provided herein are compounds, derivatives thereof, composition comprising one or more of said compounds and derivatives, and methods for prevention and/or treatment of microbial infections and/or related diseases or conditions. The present compounds and/or derivatives thereof can be represented by Formula (II): The present methods include administering to a subject an effective amount of one or more compounds of Formula (II). In one embodiment, said microbial infections are bacterial infections. More specifically, said bacterial infections are staphylococcal infections.

Abstract: Systems and a method are provided. A system includes a Temporal Behavior Query Language (TBQL) server having a processor and a memory operably coupled to the processor. The TBQL server configured to construct a TBQL query using a grammar inference technique based on syntactic sugar to expedite query construction. The TBQL server is further configured to execute the TBQL query to generate TBQL query results.

Abstract: Various examples are disclosed for forecasting resource usage and computing capacity utilizing an exponential decay. In some examples, a computing environment can obtain usage measurements from a data stream over a time interval, where the usage measurements describe utilization of computing resource. The computing environment can generate a weight function for individual ones of the usage measurements, where the weight function exponentially decays the usage measurements based on a respective time period at which the usage measurements were obtained. The computing environment can forecast a future capacity of the computing resources based on the usage measurements and the weight function assigned to the individual ones of the usage measurements. The computing environment can further upgrade a forecast engine to use the exponential decay without resetting the forecast engine or its memory.