Abstract: A processing unit can determine a first feature value corresponding to a session by operating a first network computational model (NCM) based part on information of the session. The processing unit can determine respective second feature values corresponding to individual actions of a plurality of actions by operating a second NCM. The second NCM can use a common set of parameters in determining the second feature values. The processing unit can determine respective expectation values of some of the actions of the plurality of actions based on the first feature value and the respective second feature values. The processing unit can select a first action of the plurality of actions based on at least one of the expectation values. In some examples, the processing unit can operate an NCM to determine expectation values based on information of a session and information of respective actions.

Abstract: Provided is a gas discharge tube, including at least two electrodes and an insulating tube body, which is connected in a sealing manner with the electrodes to form a discharge inner cavity. A low-temperature sealing adhesive for sealing the discharge inner cavity is arranged in the gas discharge tube. The low-temperature sealing adhesive is melted at a specific low temperature to cause gas leakage in the discharge inner cavity.

Abstract: A processing unit can successively operate layers of a multilayer computational graph (MCG) according to a forward computational order to determine a topic value associated with a document based at least in part on content values associated with the document. The processing unit can successively determine, according to a reverse computational order, layer-specific deviation values associated with the layers based at least in part on the topic value, the content values, and a characteristic value associated with the document. The processing unit can determine a model adjustment value based at least in part on the layer-specific deviation values. The processing unit can modify at least one parameter associated with the MCG based at least in part on the model adjustment value. The MCG can be operated to provide a result characteristic value associated with test content values of a test document.

Abstract: A gravity self-adapted chassis of chair has the first plug pin, second plug pin, third plug pin, forth plug pin, tilting plate, first connecting rod, and the second connecting rod of the chassis form into a four-point connecting rod mechanism so as to form the conduction of the force, the backrest is fixedly connected with the tilting plate to offer the driving force of the four-point connecting rod mechanism, the gravity applied onto the seat by the users forms into the reset force applied onto the four-point connecting rod mechanism through the third plug pin hinged with the bracket, and the driving force and the reset force of the four-point connecting rod mechanism form into the confrontation relationship.

Abstract: This application is related to a data recovery system. The data recovery system includes processing circuitry which receives a restore request. The restore request includes a restore target time. When backup data corresponding to the restore target time is determined to be available, the processing circuitry creates a temporary database service instance and determines information of the temporary database service instance. The processing circuitry further obtains the backup data corresponding to the restore target time and writes the backup data into the temporary database service instance according to the information of the temporary database service instance. The processing circuitry executes a formal restoration operation on the temporary database service instance, in which the backup data is written, according to a received processing request.

Abstract: A method for generating an immune score, the method comprising the steps of: (i) determining a qualitative and/or quantitative assessment of tumor infiltrating lymphocytes in a sample; (ii) determining a qualitative and/or quantitative assessment of T-cell receptor signaling in the sample; (iii) determining a qualitative and/or quantitative assessment of mutation burden in the sample; (iv) generating, using a predictive algorithm, an immune score based on the determined qualitative and/or quantitative assessment of tumor infiltrating lymphocytes, the determined qualitative and/or quantitative assessment of T-cell receptor signaling, and the determined qualitative and/or quantitative assessment of mutation burden.

Abstract: A processing unit can determine a first feature value corresponding to a session by operating a first network computational model (NCM) based part on information of the session. The processing unit can determine respective second feature values corresponding to individual actions of a plurality of actions by operating a second NCM. The second NCM can use a common set of parameters in determining the second feature values. The processing unit can determine respective expectation values of some of the actions of the plurality of actions based on the first feature value and the respective second feature values. The processing unit can select a first action of the plurality of actions based on at least one of the expectation values. In some examples, the processing unit can operate an NCM to determine expectation values based on information of a session and information of respective actions.

Abstract: A processing unit can operate a first recurrent computational model (RCM) to provide first state information and a predicted result value. The processing unit can operating a first network computational model (NCM) to provide respective expectation values of a plurality of actions based at least in part on the first state information. The processing unit can provide an indication of at least one of the plurality of actions, and receive a reference result value, e.g., via a communications interface. The processing unit can train the first RCM based at least in part on the predicted result value and the reference result value to provide a second RCM, and can train the first NCM based at least in part on the first state information and the at least one of the plurality of actions to provide a second NCM.

Abstract: A processing unit can successively operate layers of a multilayer computational graph (MCG) according to a forward computational order to determine a topic value associated with a document based at least in part on content values associated with the document. The processing unit can successively determine, according to a reverse computational order, layer-specific deviation values associated with the layers based at least in part on the topic value, the content values, and a characteristic value associated with the document. The processing unit can determine a model adjustment value based at least in part on the layer-specific deviation values. The processing unit can modify at least one parameter associated with the MCG based at least in part on the model adjustment value. The MCG can be operated to provide a result characteristic value associated with test content values of a test document.

Abstract: A gravity self-adapted chassis of chair has the first plug pin, second plug pin, third plug pin, forth plug pin, tilting plate, first connecting rod, and the second connecting rod of the chassis form into a four-point connecting rod mechanism so as to form the conduction of the force, the backrest is fixedly connected with the tilting plate to offer the driving force of the four-point connecting rod mechanism, the gravity applied onto the seat by the users forms into the reset force applied onto the four-point connecting rod mechanism through the third plug pin hinged with the bracket, and the driving force and the reset force of the four-point connecting rod mechanism form into the confrontation relationship.