Abstract: Provided are compounds of the Formula (I): or pharmaceutically acceptable salts thereof, which are useful for the inhibition of DHX9 and in the treatment of a variety of DHX9 mediated conditions or diseases, such as cancer.

Abstract: Provided are compounds of the Formula (I): or pharmaceutically acceptable salts thereof, which are useful for the inhibition of DHX9 and in the treatment of a variety of DHX9 mediated conditions or diseases, such as cancer.

Abstract: Disclosed is a cable connector cover which accommodates a cable and a connector to protect the cable and the connector from an external environment. The cable connector cover includes a first cover; and a second cover having one sides hinge-connected to each other, and rotating around a hinge axis, and having a space accommodating a cable and a connector therein, and one side of the first cover and one side of the second cover include a first seat portion and a second seat portion having seat holes communicating with the outside and seated with the accommodated cable, respectively, and insides of the first cover and the second cover include a first blocking portion and a second blocking portion having blocking holes on which the accommodated cable is seated, respectively when the first cover and the second cover form the space accommodating the cable and the connector.

Abstract: A computing device includes a multi-core processor which includes two or more cores, each having a significant task list queue and a normal task list queue, and a scheduler which allocates a task to each of the two or more cores. The scheduler, following allocation of the tasks, receives a new task, selects one core among the two or more cores based on task information of the new task, and allocates the new task to the selected core, when the allocation of the new task to the selected core will not change an execution schedule of a significant task in the significant task list queue of the selected core.

Abstract: There is provided with a precipitation meter which includes: an upper receiver in which an upper heating unit is embedded to provide heat to an upper surface of the upper receiver to prevent snow from being accumulated thereon, wherein the upper receiver is comprised of a first inner side surface forming inner space for collecting water and a first outer side surface which is an opposite surface of the first inner side surface; a lower receiver with a funnel-shaped part, positioned underneath the upper receiver; a siphon, positioned under the center area of the funnel-shaped part; a tipping bucket unit for receiving the waterdrops from the siphon; a precipitation calculation unit for receiving information on the seesawing movement of the tipping bucket unit and calculating an amount of precipitation by referring to the seesawing movement; and a drainage unit for allowing the waterdrops to be drained out.

Abstract: A computing device and a method for operating the computing device are provided. The computing device includes a task classifying module and a task allocating and managing module. The task classifying module classifies a task scheduled to be processed by a multi-core processor into an expectable task or a normal task. The task allocating and managing module selects one core of the multi-core processor as a target core and allocates the task scheduled to be processed to the target core. In response to the task scheduled to be processed being classified as the normal task, the task allocating and managing module determines whether to allocate the normal task to the target core depending on whether the target core processes a previously allocated expectable task.

Abstract: A semiconductor device is provided. The semiconductor device includes a processing device that provides resource usage information including a utilization value; and a prediction information generating device that generates resource usage prediction information based on the resource usage information and provides the resource usage prediction information to the processing device. The prediction information generating device includes: an error calculator to calculate an error value between the utilization value and a predicted value included in the resource usage prediction information; a margin value calculator to receive the error value from the error calculator and calculate a margin value using the error value; an anchor value calculator to calculate an anchor value using the utilization value; and a predictor to output the predicted value using the anchor value and the margin value.

Abstract: Disclosed is a gas injection apparatus which measures and displays a gas amount supplied to a radiosonde instrument. The gas injection apparatus includes: a body which includes an inlet port through which the gas is introduced from the storage tank, a flow passage through which the gas introduced from the inlet port flows, and an outlet port through which the gas passing through the flow passage is discharged; a valve which opens/closes the flow passage, and a flow meter which is installed in the body and is configured to measure and display the flow rate of the gas supplied to the instrument.

Abstract: Disclosed is a gas injection apparatus which measures and displays a gas amount supplied to a radiosonde instrument. The gas injection apparatus includes: a body which includes an inlet port through which the gas is introduced from the storage tank, a flow passage through which the gas introduced from the inlet port flows, and an outlet port through which the gas passing through the flow passage is discharged; a valve which opens/closes the flow passage, and a flow meter which is installed in the body and is configured to measure and display the flow rate of the gas supplied to the instrument.

Abstract: A semiconductor device is provided. The semiconductor device includes a processing device that provides resource usage information including a utilization value; and a prediction information generating device that generates resource usage prediction information based on the resource usage information and provides the resource usage prediction information to the processing device. The prediction information generating device includes: an error calculator to calculate an error value between the utilization value and a predicted value included in the resource usage prediction information; a margin value calculator to receive the error value from the error calculator and calculate a margin value using the error value; an anchor value calculator to calculate an anchor value using the utilization value; and a predictor to output the predicted value using the anchor value and the margin value.

Abstract: There is provided with a precipitation meter which includes: an upper receiver in which an upper heating unit is embedded to provide heat to an upper surface of the upper receiver to prevent snow from being accumulated thereon, wherein the upper receiver is comprised of a first inner side surface forming inner space for collecting water and a first outer side surface which is an opposite surface of the first inner side surface; a lower receiver with a funnel-shaped part, positioned underneath the upper receiver; a siphon, positioned under the center area of the funnel-shaped part; a tipping bucket unit for receiving the waterdrops from the siphon; a precipitation calculation unit for receiving information on the seesawing movement of the tipping bucket unit and calculating an amount of precipitation by referring to the seesawing movement; and a drainage unit for allowing the waterdrops to be drained out.

Abstract: A semiconductor device is provided. The semiconductor device includes a processing device that provides resource usage information including a utilization value; and a prediction information generating device that generates resource usage prediction information based on the resource usage information and provides the resource usage prediction information to the processing device. The prediction information generating device includes: an error calculator to calculate an error value between the utilization value and a predicted value included in the resource usage prediction information; a margin value calculator to receive the error value from the error calculator and calculate a margin value using the error value; an anchor value calculator to calculate an anchor value using the utilization value; and a predictor to output the predicted value using the anchor value and the margin value.

Abstract: There is provided with a precipitation meter which includes: an upper receiver in which an upper heating unit is embedded to provide heat to an upper surface of the upper receiver to prevent snow from being accumulated thereon, wherein the upper receiver is comprised of a first inner side surface forming inner space for collecting water and a first outer side surface which is opposite surface of the first inner side surface; a lower receiver with a funnel-shaped part, positioned underneath the upper receiver; a siphon, positioned under the center area of the funnel-shaped part; a tipping bucket unit for receiving the waterdrops from the siphon; a precipitation calculation unit for receiving information on the seesawing movement of the tipping bucket unit and calculating a value of precipitation by referring to the seesawing movement; and a drainage unit for allowing the waterdrops to be drained out.

Abstract: Provided are multi-core control systems. A multi-core control system includes multiple cores including a first core; and a process dependency recognizer configured to recognize a dependency between processes each executed in the respective cores, wherein if the first core waits for a first period of time to execute a first process, the first core recognizes a process on which the first process depends by the process dependency recognizer.

Abstract: A semiconductor device is provided. The semiconductor device includes a processing device that provides resource usage information including a utilization value; and a prediction information generating device that generates resource usage prediction information based on the resource usage information and provides the resource usage prediction information to the processing device. The prediction information generating device includes: an error calculator to calculate an error value between the utilization value and a predicted value included in the resource usage prediction information; a margin value calculator to receive the error value from the error calculator and calculate a margin value using the error value; an anchor value calculator to calculate an anchor value using the utilization value; and a predictor to output the predicted value using the anchor value and the margin value.

Abstract: A method of operating a system-on-chip (SOC) including a central processing unit (CPU) and a target hardware to which a dynamic voltage and frequency scaling (DVFS) is applied, includes determining an operating scheme of the target hardware, setting a DVFS application scheme for applying the DVFS to the target hardware, based on the operating scheme of the target hardware, and performing the DVFS on the target hardware, based on the DVFS application scheme.

Abstract: Provided are multi-core control systems. A multi-core control system includes multiple cores including a first core; and a process dependency recognizer configured to recognize a dependency between processes each executed in the respective cores, wherein if the first core waits for a first period of time to execute a first process, the first core recognizes a process on which the first process depends by the process dependency recognizer.

Abstract: Various embodiments disclose an electronic device comprising a housing, said housing comprising: at least one metallic material portion; and a synthetic resin material portion, said synthetic resin material comprising a sealing resin, the synthetic resin material portion joined and injection molded to at least a part of the at least one metallic material portion, wherein the sealing resin is disposed at at least a portion of a joint between the metallic material portion and the synthetic resin material portion.

Abstract: A method of operating a system-on-chip (SOC) including a central processing unit (CPU) and a target hardware to which a dynamic voltage and frequency scaling (DVFS) is applied, includes determining an operating scheme of the target hardware, setting a DVFS application scheme for applying the DVFS to the target hardware, based on the operating scheme of the target hardware, and performing the DVFS on the target hardware, based on the DVFS application scheme.

Abstract: A biosensor and a method for recognizing a liquid sample are provided, which can recognize whether a sample is introduced by recognizing an inside of a sample introduction channel through measurement of capacitance. The biosensor includes an upper plate and a lower plate facing each other, a middle plate interposed between the upper plate and the lower plate to form a sample introduction channel through a recess portion, a working electrode and an auxiliary electrode formed in the sample introduction channel, a sample recognition electrode formed on an outside of the sample introduction channel in a position that corresponds to the sample introduction channel, and a capacitance measurement portion electrically connected to any one of the working electrode and the auxiliary electrode and the sample recognition electrode.