Abstract: A pharmaceutically acceptable salt of a benzo[c]chroman compound and a polymorphic form and use of the pharmaceutically acceptable salt. The pharmaceutically acceptable salt is selected from hydrochloride, methanesulfonate, phosphate, L-tartrate, maleate, p-toluenesulfonate, sulfate, fumarate, succinate, citrate, malate, and hydrobromide. The pharmaceutically acceptable salt and the polymorphic form thereof improve the bioavailability and the stability, and as a cathepsin C inhibitor, can be used for treating asthma, obstructive pulmonary disease, bronchiectasis, ANCA-associated vasculitis, psoriasis, ?1-antitrypsin deficiency, lupus nephritis, diabetes, inflammatory bowel disease, rheumatoid arthritis, sinusitis, hidradenitis suppurativa, or cancer.

Abstract: Disclosed in the present invention are a polymorph of a benzo[c]chroman compound, a preparation method therefor and use thereof. The present invention particularly provides a polymorph of a compound represented by formula I, a preparation method therefor and use thereof. The compound represented by formula I is used as a cathepsin C inhibitor, and a crystalline form of the compound and a pharmaceutical composition comprising the crystalline form can be used for treating asthma, obstructive pulmonary diseases, bronchiectasis, ANCA-related vasculitis, psoriasis, ?1-antitrypsin deficiency, lupus nephritis, diabetes, inflammatory bowel diseases, rheumatic arthritis, rhinosinusitis, hidradenitis suppurativa or cancers.

Abstract: Systems and methods for scan preparation are provided. The systems may obtain a first parameter set of a subject to be scanned by a medical device acquired before a scan is performed on the subject. The first parameter set may relate to a physiological motion of the subject acquired before the scan is performed on the subject. The systems may predict, based on the first parameter set and an estimation model, a second parameter set of the subject. The second parameter set may relate to the physiological motion of the subject. The systems may determine at least one scan parameter for the scan based at least in part on the second parameter set. The systems may cause the medical device to perform the scan on the subject based on the at least one scan parameter.

Abstract: The present disclosure relates to a method for analyzing an R-wave of an electrocardiogram (ECG) signal. The method includes obtaining an original ECG signal of a subject; filtering the original ECG signal; determining whether to trigger a search gate based on the filtered ECG signal, wherein the search gate is an instruction for detecting an R-wave on the original ECG signal; and detecting the R-wave on the original ECG signal in response to a determination of triggering the search gate.

Abstract: Systems and methods for scan preparation are provided. The systems may obtain a first parameter set of a subject to be scanned by a medical device acquired before a scan is performed on the subject. The first parameter set may relate to a physiological motion of the subject acquired before the scan is performed on the subject. The systems may predict, based on the first parameter set and an estimation model, a second parameter set of the subject. The second parameter set may relate to the physiological motion of the subject. The systems may determine at least one scan parameter for the scan based at least in part on the second parameter set. The systems may cause the medical device to perform the scan on the subject based on the at least one scan parameter.

Abstract: The present disclosure relates to a small molecule inhibitor of cathepsin C and the medicinal use thereof. Specifically, provided in the present disclosure are an amide nitrile compound represented by formula VI, a pharmaceutical composition containing the compound, and the use thereof in the inhibition of cathepsin C.

Abstract: Provided are a compound as represented by formula I or a pharmaceutically acceptable salt thereof, and applications of the compound in preparing a medicament for preventing and/or treating a PDE-related disorder.

Abstract: An integrated two-phase anaerobic dry fermentation reactor based on a biomimetic principle of rumen includes a reactor body; wherein the reactor body includes a dry fermentation chamber, a secondary fermentation chamber, and a liquid storage chamber. The dry fermentation chamber is arranged at an upper portion of the reactor body. The liquid storage chamber is arranged at a bottom of the reactor body. The secondary fermentation chamber is arranged between the dry fermentation chamber and the liquid storage chamber in the reactor body. The dry fermentation chamber is connected to the secondary fermentation chamber by a porous structure.

Abstract: Example embodiments of the present disclosure provide an image detection method, an electronic device and a computer-readable storage medium. The image detection method includes the following. Am image to be detected including a target object is obtained and multiple feature representation determination modules are obtained. The multiple feature representation determination modules are trained for different parts of a reference object, using a reference image including the reference object and an authenticity of the reference image. Multiple feature representations for different parts of the target object are determined based on the image to be detected and the multiple feature representation determination modules. An authenticity of the image to be detected is determined based on the multiple feature representations.

Abstract: Embodiments of the present disclosure provide a method and apparatus for detecting a face image, electronic device, and computer readable medium. The method may include: performing facial keypoint detection on an image frame containing a face object; segmenting a center face area image and an entire face area image of a target face object from the image frame based on a facial keypoint detection result; performing head pose estimation respectively based on the center face area image and the entire face area image; and generating a detection result on whether the target face object contained in the image frame is a fake face object based on a difference between a piece of first head pose information estimated based on the center face area image and a piece of second head pose information estimated based on the entire face area image.

Abstract: The present disclosure relates to a method for analyzing an R-wave of an electrocardiogram (ECG) signal. The method includes obtaining an original ECG signal of a subject; filtering the original ECG signal; determining whether to trigger a search gate based on the filtered ECG signal, wherein the search gate is an instruction for detecting an R-wave on the original ECG signal; and detecting the R-wave on the original ECG signal in response to a determination of triggering the search gate.

Abstract: A method may include obtaining scan data that is captured by scanning a heart of a subject with the imaging device. The method may include obtaining electrocardiogram (ECG) data during the scans of the heart of the subject. The method may include determining first scan data from the scan data. The method may include reconstructing the cardiac image based on the first scan data. The method may also include performing one or more iterations. Each of the one or more iterations may include determining whether there is a pulsatile artifact in the reconstructed cardiac image, determining a second time period of at least one cardiac cycle based on the pulsatile artifact, and reconstructing the cardiac image based on the scan data and the second time period.

Abstract: A traffic image recognition method and apparatus, and a computer device and a medium. An embodiment of the method comprises: acquiring a video stream collected by a vehicle, and extracting each frame of image in the video stream as a first image; inputting the first image into a de-interference autoencoder for pre-processing, to filter out an interference in the first image and output a second image, the de-interference autoencoder being obtained by training with at least two types of interference sample sets, and disturbance modes added to different types of interference sample sets including at least two of: noise, an affine transformation, filter blurring, a brightness transformation, or monochromatization; and inputting the second image into a traffic sign recognition model for recognition processing.

Abstract: Example embodiments of the present disclosure provide an image detection method, an electronic device and a computer-readable storage medium. The image detection method includes the following. Am image to be detected including a target object is obtained and multiple feature representation determination modules are obtained. The multiple feature representation determination modules are trained for different parts of a reference object, using a reference image including the reference object and an authenticity of the reference image. Multiple feature representations for different parts of the target object are determined based on the image to be detected and the multiple feature representation determination modules. An authenticity of the image to be detected is determined based on the multiple feature representations.

Abstract: Embodiments of the present disclosure provide a method and apparatus for detecting a face image, electronic device, and computer readable medium. The method may include: performing facial keypoint detection on an image frame containing a face object; segmenting a center face area image and an entire face area image of a target face object from the image frame based on a facial keypoint detection result; performing head pose estimation respectively based on the center face area image and the entire face area image; and generating a detection result on whether the target face object contained in the image frame is a fake face object based on a difference between a piece of first head pose information estimated based on the center face area image and a piece of second head pose information estimated based on the entire face area image.

Abstract: Systems and methods for scan preparation are provided. The systems may obtain a first parameter set of a subject to be scanned by a medical device acquired before a scan is performed on the subject. The first parameter set may relate to a physiological motion of the subject acquired before the scan is performed on the subject. The systems may predict, based on the first parameter set and an estimation model, a second parameter set of the subject. The second parameter set may relate to the physiological motion of the subject. The systems may determine at least one scan parameter for the scan based at least in part on the second parameter set. The systems may cause the medical device to perform the scan on the subject based on the at least one scan parameter.

Abstract: An integrated two-phase anaerobic dry fermentation reactor based on a biomimetic principle of rumen includes a reactor body; wherein the reactor body includes a dry fermentation chamber, a secondary fermentation chamber, and a liquid storage chamber. The dry fermentation chamber is arranged at an upper portion of the reactor body. The liquid storage chamber is arranged at a bottom of the reactor body. The secondary fermentation chamber is arranged between the dry fermentation chamber and the liquid storage chamber in the reactor body. The dry fermentation chamber is connected to the secondary fermentation chamber by a porous structure.

Abstract: A method may include obtaining scan data that is captured by scanning a heart of a subject with the imaging device. The method may include obtaining electrocardiogram (ECG) data during the scans of the heart of the subject. The method may include determining first scan data from the scan data. The method may include reconstructing the cardiac image based on the first scan data. The method may also include performing one or more iterations. Each of the one or more iterations may include determining whether there is a pulsatile artifact in the reconstructed cardiac image, determining a second time period of at least one cardiac cycle based on the pulsatile artifact, and reconstructing the cardiac image based on the scan data and the second time period.