Abstract: The present disclosure is directed certain Hypoxia Inducible Factor 2? (HIF-2?) inhibitors and their use in the treatment of diseases mediated by HIF-2? such as cancer. Also provided is the use of HIF-2? inhibitors in combination with a poly (ADP-ribose) polymerase (PARP) inhibitor. In particular, the present disclosure is directed to methods for the treatment of cancers using a HIF-2? inhibitor in combination with a PARP inhibitor and pharmaceutical compositions comprising the same.

Abstract: A method for diagnosing analog circuit fault based on vector-valued regularized kernel function approximation, includes steps of: step (1) acquiring a fault response voltage signal of an analog circuit; step (2) carrying out wavelet packet transform on the collected signal, and calculating a wavelet packet coefficient energy value as a characteristic parameter; step (3) utilizing a quantum particle swarm optimization algorithm to optimize a regularization parameter and kernel parameter of vector-valued regularized kernel function approximation, and training a fault diagnosis model; and step (4) utilizing the trained diagnosis model to recognize circuit faults.

Abstract: A method and system for predicting an insulated gate bipolar transistor (IGBT) lifetime based on compound failure mode coupling are provided. First, a simultaneous failure probability model of a bonding wire and a solder layer is calculated. Next, expectancy of the simultaneous failure probability model is calculated and recorded as a lifetime under a coupling effect. A coupling function relation is established. A lifetime of the solder layer and a lifetime of the bonding wire are predicted. An IGBT lifetime prediction model not taking the coupling effect into account is established. An IGBT lifetime prediction model taking the coupling effect into account is established. In the disclosure, the lifetime of the IGBT module under the coupling effect of the solder layer and the bonding wire may be accurately predicted.

Abstract: The invention discloses a method and a system for characterizing IGBT module aging based on Miner theory, including first establishing a life prediction model with a junction temperature fluctuation Tjm and an average junction temperature ?Tj as inputs; then measuring a chip junction temperature data of an IGBT module; recording the junction temperature fluctuation Tjm and the average junction temperature ?Tj of each power cycle; performing one life prediction in each cycle; and taking a reciprocal of a predicted life corresponding to each cycle and adding them to obtain an aging characteristic parameter D of the IGBT module. The invention may more suitably characterize the aging degree of the IGBT, and has the advantages of monotonically increasing change trend and high resolution.

Abstract: A low-complexity precoding method for large-scale MIMO fast convergence is provided. The method includes the following steps: in step 1, starting a precoding procedure to initialize relevant parameters of an MIMO transmitting antenna; in step 2, accelerating a symmetric successive over-relaxation algorithm through a Chebyshev semi-iterative algorithm to complete a precoding inversion process according to the initialized parameters; and in step 3, generating a signal to be transmitted of the MIMO transmitting antenna according to a result of the iterative algorithm and ending the precoding procedure. Herein, the step of initializing the parameters includes parameter initialization and setting a number of transmitting antennas, a number of single-antenna users, and a channel transmission matrix.

Abstract: The disclosure discloses a power transformer winding fault positioning method based on deep convolutional neural network integrated with visual identification, including 1) a winding equivalent circuit is established, and a transfer function thereof is calculated; 2) a sine wave excitation source is set at one end of the power transformer winding to obtain the amplitude-frequency characteristic curve of each winding node; 3) circuits under various fault statuses are subjected to scanning frequency response analysis to extract amplitude-frequency characteristics; 4) a feature matrix is established based on the obtained amplitude-frequency characteristics; 5) scanning frequency response analysis is performed on the diagnosed power transformer to form a feature matrix; 6) the feature matrix is converted into an image, simulation and historical detection data are used as a training set, and a deep convolutional neural network is input for training; 7) diagnosed transformer is subjected to fault classification and

Abstract: A method for monitoring an online state of a bonding wire of an Insulated Gate Bipolar Translator (IGBT) module comprises the following steps: Step 1, constructing a full bridge inverter circuit and an online measuring circuit and connecting two input ends of the online measuring circuit to a collecting electrode and an emitting electrode of an IGBT power module of the full bridge inverter circuit to realize a connection of the full bridge inverter circuit and the online measuring circuit; Step 2, establishing a three-dimensional data model of a healthy IGBT; Step 3, establishing a three-dimensional data model of the IGBT with a broken bonding wire; Step 4, optimizing a least squares support vector machine by adopting a genetic algorithm; and Step 5, estimating states of the three-dimensional data models obtained in the Step 2 and the Step 3 by utilizing the optimized least squares support vector machine.

Abstract: The present disclosure provides certain tri-substituted heteroaryl derivatives that are Src Homology-2 phosphatase (SHP2) inhibitors and are therefore useful for the treatment of diseases treatable by inhibition of SHP2. Also provided are pharmaceutical compositions containing such compounds and processes for preparing such compounds.

Abstract: The invention discloses a method and system for estimating an SOH of a battery pack, including: measuring an SOH data sequence of each charge and discharge cycle of a battery pack and a terminal voltage and a temperature data sequence of the battery pack of each charging stage; calculating voltage entropy and mean temperature data sequences of the battery pack with the charge and discharge cycle; performing an optimization option on a learning rate of a long short-term memory neural network using a particle swarm algorithm based on the voltage entropy, mean temperature and SOH data sequences of the battery pack with the charge and discharge cycle; establishing an SOH estimation model of the long short-term memory neural network using the learning rate obtained by the particle swarm optimization; and estimating the SOH of the battery pack using the established SOH estimation model of the long short-term memory neural network.

Abstract: The present disclosure provides certain tricyclic compounds that are Hypoxia Inducible Factor 2? (HIF-2?) inhibitors and are therefore useful for the treatment of diseases treatable by inhibition of HIF-2?. Also provided are pharmaceutical compositions containing such compounds and processes for preparing such compounds.

Abstract: A method for vehicle-loading warehousing asset management based on an ultra-high frequency (UHF) radio frequency identification (RFID) path loss model, which includes the following steps. An electromagnetic wave is emitted by a tag reader. The electromagnetic wave is diffracted, reflected, and scattered when passing through a warehousing vehicle hood, and the electromagnetic wave is emitted and scattered through the ground. A UHF RFID tag attached to a front surface location region of assets receives electromagnetic waves of various paths emitted by the tag reader. The tag reader reads UHF RFID tag information. A transfer function of a tag receiving signal is constructed according to the tag information, and a path loss function during a UHF RFID tag sensing electromagnetic wave process is constructed according to the transfer function. The path loss is calculated according to the constructed path loss function. A location of the UHF RFID tag is obtained.

Abstract: The present disclosure is directed certain Hypoxia Inducible Factor 2? (HIF-2?) inhibitors and their use in the treatment of diseases mediated by HIF-2? such as cancer. Also provided is the use of HIF-2? inhibitors in combination with a poly (ADP-ribose) polymerase (PARP) inhibitor. In particular, the present disclosure is directed to methods for the treatment of cancers using a HIF-2? inhibitor in combination with a PARP inhibitor and pharmaceutical compositions comprising the same.

Abstract: A method for diagnosing analog circuit fault based on cross wavelet features includes steps of: inputting an excitation signal to an analog circuit under test, and collecting time domain response output signals to form an original data sample set; dividing the original data sample set into a training sample set and a test sample set; performing cross wavelet decomposition on both sets; applying bidirectional two-dimensional linear discriminant analysis to process the wavelet cross spectra of the training sample set and the test sample set, and extracting fault feature vectors of the training sample set and the test sample set; submitting the fault feature vectors of the training sample set to a support vector machine for training an SVM classifier, constructing a support vector machine fault diagnosis model; and inputting the fault feature vectors of the test sample set into the model to perform fault classification.

Abstract: A transformer state evaluation method combining a FAHP method, a DEMATEL method, and a CRITIC method is provided and includes: selecting a plurality of groups of state quantities, building a hierarchical indicator system; calculating an influencing degree and an influenced degree by using the DEMATEL method on a subjective level, calculating a weight of each of a plurality of indicators of an indicator layer through the FAHP method and the DEMATEL method, calculating the weights of the indicators of the indicator layer through the CRITIC method on an objective level; calculating an optimal weight according to the indicator subjective weights and the indicator objective weights; and calculating state scores layer by layer, finally determining an actual health condition of each of a plurality of transformers by combining state level classification rules. In the disclosure, the weights are calculated based on the subjective level and the objective level.

Abstract: The invention discloses a method and a system for correction of the junction temperatures of an IGBT module in a photovoltaic inverter.

Abstract: A method and a system for predicting remaining useful life of an analog circuit are provided. A simulation model of the analog circuit is built, and an output voltage is selected as a degradation variable. Different degradation cycles are set to extract degradation features of the output voltage. Key features that can reflect a degradation trend of a circuit component are selected. Multi-feature fusion and similarity model are adopted to construct a health indicator curve to characterize a degradation process of a full life cycle of different circuit components. A prediction model is established based on a temporal convolutional network and an attention mechanism, and preferably selected features and a constructed health indicator database are used as an input of a TCN-attention network to predict the remaining useful life of the circuit component.

Abstract: A method and a system for comprehensively evaluating reliability of a multi-chip parallel IGBT module are provided. The method includes: establishing a gate-emitter voltage reliability model of the multi-chip parallel IGBT module, performing a chip fatigue failure test, and selecting a gate-emitter voltage as a failure characteristic quantity; establishing a transconductance reliability model of the multi-chip parallel IGBT module, performing a bonding wire shedding failure test, and selecting a transmission characteristic curve of the module as a failure characteristic quantity; using a Pearson correlation coefficient to characterize a degree of health of the IGBT module, and respectively calculating degrees of health PPMCCC and PPMCCB in different degrees of chip fatigue and bonding wire shedding failure states; and comprehensively evaluating the reliability of the multi-chip parallel IGBT module according to PPMCCC and PPMCCB.

Abstract: The disclosure discloses an IGBT module reliability evaluation method and device based on bonding wire degradation, which belong to the field of IGBT reliability evaluation. The realization of the method includes: obtaining a relationship between a IGBT chip conduction voltage drop Uces and an operating current Ic along with a chip junction temperature Tc; for an IGBT module under test, obtaining the conduction voltage drop Uces-c of the IGBT chip through the operating current Ic and the chip junction temperature Tc; obtaining an external conduction voltage drop Uces-m of the IGBT module by using a voltmeter; performing subtraction to obtain a voltage drop at a junction of a IGBT chip and a bonding wire, and combining the operating current to obtain a resistance at the junction; determining that the IGBT module has failed when the resistance at the junction increases to 5% of an equivalent impedance of the IGBT module.

Abstract: Provided are a time domain channel prediction method and a time domain channel prediction system for an OFDM wireless communication system, which relate to the technical field of adaptive transmission in wireless communication. Frequency domain channel information is converted into time domain tap information by inverse Fourier transform. With respect to each time domain tap information, tap information prediction based on an extreme learning machine is realized, and finally predicted tap information is converted into frequency domain channel information by Fourier transform. To improve a generalization ability of a channel predictor, an output weight of the extreme learning machine is punished by a combination of l2 regularization and l1/2 regularization. The disclosure may provide satisfactory prediction performance and may output a sparse output weight, which reduces the requirement for memory storage. The disclosure ensures adaptive transmission and adaptive coding of wireless communication.

Abstract: A model-based method and system for diagnosing an open-circuit fault of a power transistor of a three-phase converter are provided, which belong to the technical field of fault diagnosis of power electronic equipment and can implement fast and accurate diagnosis of the open-circuit fault of the power transistor of the three-phase converter without adding an additional hardware. The fault diagnosis method of the disclosure only needs current and voltage sampling signals and drive signals that already exist in a control system of the converter and has the advantage of simple implementation. A cycle accumulated value of a difference between a sampling current and an estimated current after the power transistor of the converter has the open-circuit fault is used as a diagnostic variable, which can quickly and accurately complete diagnosis of a faulty power transistor and has relatively strong practicability.