Abstract: A semiconductor device including a hybrid contact scheme for stacked FET is disclosed with integration of a BSPDN. A double-sided (both frontside and backside of the wafer) contact scheme with buried power rail (BPR) and backside power distribution network (BSPDN) provides optimum contact and interconnect. The stacked FET could include, for example, FINFET over FINFET, FINFET over nanosheet, or nanosheet over nanosheet.

Abstract: The disclosure provides a control method and a device for an air conditioner. The method includes: a first reward matrix is constructed according to multiple sets of target operating parameters of an air conditioner, a maximum expected benefit of performing a current action in a current state is calculated based on the first reward matrix and a Q-learning algorithm, wherein the current state is represented by a current indoor environment temperature and a current outdoor environment temperature; target action parameters under the maximum expected benefit are acquired, and operation of the air conditioner is controlled based on second target action parameters, wherein the second target action parameters at least include a second target operating frequency of the compressor, a second target opening degree of the electronic expansion valve and a second target rotating speed of the external fan.

Abstract: A semiconductor device includes a substrate; a set of first transistors positioned on an upper surface of the substrate, each of the set of first transistors comprising a first gate and a first dielectric; an insulating layer positioned on an upper surface of the set of first transistors; and a set of second transistors positioned over the set of first transistors and with the set of first transistors on an upper surface of the insulating layer, each of the set of second transistors having a second gate and a second dielectric; wherein each of the first dielectrics is connected to a sidewall of each of a corresponding first gate; and wherein each of the second dielectrics is connected to the insulating layer.

Abstract: A testing fixture includes a base, a signal source, a workstation and a crimping mechanism. The base is provided with a sloping surface carrying the workstation and the crimping mechanism. The signal source is located on the base. The crimping mechanism applies testing signals transmitted by the signal source to the product to be tested. Additionally, the workstation performs an electrical function test on the product to be tested. The testing fixture can effectively perform an electrical function test on the product to be tested and has an integrated design of the base, the signal source, the workstation and the crimping mechanism, which facilitates management and maintenance. The base is also provided with a sloping surface carrying the workstation and the crimping mechanism to provide the testing fixture with an optimal testing angle, thereby facilitating operation and production.

Abstract: A testing fixture comprising a base, a signal source, a workstation and a crimping mechanism, the base is provided with a sloping surface carrying the workstation and the crimping mechanism, the signal source is located on the base, the crimping mechanism applies testing signals transmitted by the signal source to the product to be tested, and the workstation performs a light-on test on the product to be tested.

Abstract: The present invention provides a method for recording programs, a multimedia system and a network side device. The multimedia system includes a network side device and a plurality of nodes, wherein the network side device is configured to generate a recording task after receiving a recording request, and send in advance the recording task to each node in which a channel specified in the recording task is stored, and the nodes are configured to record a program on the channel specified in the recording task after receiving the recording task, and return recording result information to the network side device. According to the recording method of the present invention, when the recording is failed, inter-node mutual reconstruction and complementary recording can be performed, which greatly decreases the possibility of failure in the recording of the program, and provides the quality of service of more fluent TVOD for users.

Abstract: The invention provides novel mutations, mutation combinations or mutational profiles of HIV-1 reverse transcriptase and/or protease genes correlated with phenotypic resistance to HIV drugs. More particularly, the present invention relates to the use of genotypic characterization of a target population of HIV and the subsequent correlation of this information to phenotypic interpretation in order to correlate virus mutational profiles with drug resistance. The invention also relates to methods of utilizing the mutational profiles of the invention in databases, drug development, i.e., drug design, and drug modification, therapy and treatment design, clinical management and diagnostic analysis.

Abstract: The present invention provides a method for recording programs, a multimedia system and a network side device. The multimedia system includes a network side device and a plurality of nodes, wherein the network side device is configured to generate a recording task after receiving a recording request, and send in advance the recording task to each node in which a channel specified in the recording task is stored, and the nodes are configured to record a program on the channel specified in the recording task after receiving the recording task, and return recording result information to the network side device. According to the recording method of the present invention, when the recording is failed, inter-node mutual reconstruction and complementary recording can be performed, which greatly decreases the possibility of failure in the recording of the program, and provides the quality of service of more fluent TVOD for users.

Abstract: The invention provides novel mutations, mutation combinations or mutational profiles of HIV-1 reverse transcriptase and/or protease genes correlated with phenotypic resistance to HIV drugs. More particularly, the present invention relates to the use of genotypic characterization of a target population of HIV and the subsequent correlation of this information to phenotypic interpretation in order to correlate virus mutational profiles with drug resistance. The invention also relates to methods of utilizing the mutational profiles of the invention in databases, drug development, i.e., drug design, and drug modification, therapy and treatment design, clinical management and diagnostic analysis.

Abstract: A method and system for predicting the resistance of a disease to a therapeutic agent is provided. Further provided is a method and system for designing a therapeutic treatment agent for a patient afflicted with a disease. Specifically, the methods use a trained neural network to interpret genotypic information obtained from the disease. The trained neural network is trained using a database of known or determined genotypic mutations that are correlated with phenotypic therapeutic agent resistance. The present invention also provides methods and systems for predicting the probability of a patient developing a genetic disease. A trained neural network for making such predictions is also provided.

Abstract: The invention provides novel mutations, mutation combinations or mutational profiles of HIV-1 reverse transcriptase and/or protease genes correlated with phenotypic resistance to HIV drugs. More particularly, the present invention relates to the use of genotypic characterization of a target population of HIV and the subsequent correlation of this information to phenotypic interpretation in order to correlate virus mutational profiles with drug resistance. The invention also relates to methods of utilizing the mutational profiles of the invention in databases, drug development, i.e., drug design, and drug modification, therapy and treatment design, clinical management and diagnostic analysis.

Abstract: A method and system for predicting the resistance of a disease to a therapeutic agent is provided. Further provided is a method and system for designing a therapeutic treatment agent for a patient afflicted with a disease. Specifically, the methods use a trained neural network to interpret genotypic information obtained from the disease. The trained neural network is trained using a database of known or determined genotypic mutations that are correlated with phenotypic therapeutic agent resistance. The present invention also provides methods and systems for predicting the probability of a patient developing a genetic disease. A trained neural network for making such predictions is also provided. Also provided is a method and system for determining the genetic basis of therapeutic agent resistance.