Abstract: Implementations relating to a back contact solar cell and its preparation method are provided in this disclosure. In an implementation, a back contact solar cell includes a silicon substrate having a first surface. The first surface comprises a first conductive region, a second conductive region, and an insulation region located between the first conductive region and the second conductive region. The back contact solar cell further comprises a first transport layer located on the first conductive region and a second transport layer located on the second conductive region. The second transport layer extends from the second conductive region through the insulation region to the first conductive region, and partially covers the first transport layer, wherein a thickness of a first portion of the second transport layer located on the insulation region is greater than a thickness of a second portion of the second transport layer located on the second conductive region.

Abstract: Provided herein is a method for separating Loran sky and ground waves based on a Levenberg-Marquart algorithm, including: (1) collecting a plurality of Loran sky-ground wave signals followed by normalization to obtain a normalized signal; (2) preprocessing the normalized signal by inverse Fourier transform method to obtain an initialization parameter; (3) establishing a mathematical model for the Loran sky-ground wave signals in time domain; and (4) solving parameters of the mathematical model using the Levenberg-Marquart algorithm to separate the Loran sky and ground waves.

Abstract: Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for data processing. One of the methods includes: determining a set of values in the set of splitting criteria based on the service data, wherein the set of values indicate whether the set of splitting criteria of the burst node are met; encrypting the set of values using a random number, to obtain cyphertext of the set of values; executing a secure data selection algorithm by using the ciphertext of the set of values as input; and executing a secure multi-party computation algorithm by using the random number as input to obtain a prediction result of a decision forest.

Abstract: Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for data processing. One of the methods includes: determining target location identifiers identifying leaf nodes of a decision tree in a decision forest based on parameter information of the decision tree; performing oblivious transfer with a second computing device by using the target location identifiers as input; and selecting a target cyphertext from cyphertexts of leaf values corresponding to leaf nodes of the decision tree, wherein the cyphertexts are generated by encrypting the leaf values based on a random number and are used by the second computing device to perform the oblivious transfer.

Abstract: Disclose herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for data processing. One of the methods includes: determining, by a first computing device based on service data possessed by the first computing device, whether a leaf value of a leaf node of a decision tree at least possibly matches information included in the service data; in response to determining that the leaf value at least possibly matches the information included in the first service data, determining; a first data selection value corresponding to the leaf node; and performing oblivious transfer with a second computing device that processes a decision tree model of the decision tree by using the first data selection value as an input to obtain first target data for determining a prediction result of the decision forest.

Abstract: Implementations of the present specification provide a data processing method and apparatus, and an electronic device. The method includes the following: obtaining a target leaf node that matches business data based on an encryption decision forest, where the encryption decision forest includes at least one decision tree, a splitting node of the decision tree corresponds to plaintext data of a splitting condition, a leaf node of the decision tree corresponds to ciphertext data of a leaf value, and the ciphertext data is obtained by encrypting the leaf value by a homomorphic encryption algorithm; and sending ciphertext data corresponding to the target leaf node to a first device.

Abstract: Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for data processing. One of the methods includes: determining a set of values in the set of splitting criteria based on the service data, wherein the set of values indicate whether the set of splitting criteria of the burst node are met; encrypting the set of values using a random number, to obtain cyphertext of the set of values; executing a secure data selection algorithm by using the ciphertext of the set of values as input; and executing a secure multi-party computation algorithm by using the random number as input to obtain a prediction result of a decision forest.

Abstract: Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for data processing. One of the methods includes: determining target location identifiers identifying leaf nodes of a decision tree in a decision forest based on parameter information of the decision tree; performing oblivious transfer with a second computing device by using the target location identifiers as input; and selecting a target cyphertext from cyphertexts of leaf values corresponding to leaf nodes of the decision tree, wherein the cyphertexts are generated by encrypting the leaf values based on a random number and are used by the second computing device to perform the oblivious transfer.

Abstract: Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for data processing. One of the methods includes: determining, by a first computing device based on service data possessed by the first computing device, whether a leaf value of a leaf node of a decision tree at least possibly matches information included in the service data; in response to determining that the leaf value at least possibly matches the information included in the first service data, determining; a first data selection value corresponding to the leaf node; and performing oblivious transfer with a second computing device that processes a decision tree model of the decision tree by using the first data selection value as an input to obtain first target data for determining a prediction result of the decision forest.

Abstract: The present disclosure provides methods for treating a hearing disorder associated with maladaptive neuroplasticity, reduction of inhibition, shift of excitation-to-inhibition balance, changes in central gain, and/or changes in neural sensitivity in a subject by inhibiting the function and/or production of tumor necrosis factor alpha (TNF-?) in the subject. The present disclosure provides methods of administering to the subject a TNF-? inhibitory agent in an amount effective to treat the subject for a hearing disorder associated with maladaptive neuroplasticity, reduction of inhibition, shift of excitation-to-inhibition balance, changes in central gain, and/or changes in neural sensitivity. TNF-? inhibitory agents of the subject disclosure include agents that inhibit the function TNF-?, inhibit the production of TNF-?, inhibit TNF-? signaling, inhibit TNF-? expression, or inhibit TNF-? signaling pathway genes in the subject.

Abstract: The present disclosure provides compositions and methods utilizing phosphodiesterase inhibitors to treat blast-induced tinnitus and/or hearing loss. The compositions include phosphodiesterase inhibitors such as sildenafil.