Abstract: Techniques are disclosed for facilitating the tuning of hyperparameter values during the development of machine learning (ML) models using visual analytics in a data science platform. In an example embodiment, a computer-implemented data science platform is configured to generate, and display to a user, interactive visualizations that dynamically change in response to user interaction. Using the introduced technique, a user can, for example, 1) tune hyperparameters through an iterative process using visual analytics to gain and use insights into how certain hyperparameters affect model performance and convergence, 2) leverage automation and recommendations along this process to optimize the tuning given available resources, 3) collaborate with peers, and 4) view costs associated with executing experiments during the tuning process.

Abstract: An apparatus and system of providing a listen before talk (LBT) procedure in multi-carrier or multi-beam mode above a 52.6 GHz band are described. The LBT procedure is performed independently for each carrier or beam to maintain and update a different back-off counter for each carrier or beam. To align a transmission starting time across the carriers or beams, for each carrier or beam: the counter continues to decrement if the counter has reached zero before the starting time and transmit at the starting time if the channel continues to be sensed idle for an additional observation period immediately prior to the starting time and otherwise considers the LBT procedure to have failed. The counter is reinitialized for carriers or beams for which a channel occupancy time (COT) is to be acquired and transmission ceases.

Abstract: Disclosed are computer-implemented or computer-aided method for diagnosing or predicting the risk of obstructive sleep apnea in a subject. The methods comprise determining whether the subject has obstructive sleep apnea based on at least one quantitative ultrasound parameter and/or at least one morphometric parameter.

Abstract: Disclosed are computer-implemented or computer-aided method for diagnosing or predicting the risk of obstructive sleep apnea in a subject. The methods comprise determining whether the subject has obstructive sleep apnea based on at least one quantitative ultrasound parameter and/or at least one morphometric parameter.

Abstract: Disclosed is a method for enhancing the effect of an immunotherapy for cancer in a subject, comprising administering to the subject an effective amount of a polysaccharide extract of Astragalus membranaceus. Also disclosed is a method for increasing a subject's pool of M1 macrophages, wherein the subject is suffering from one or more conditions associated with undesirable M2 macrophage activation, the method comprising administering to the subject an effective amount of a polysaccharide extract of Astragalus membranaceus.

Abstract: A compound and use thereof are provided. The compound of the invention has formula I shown below. Each variable in formula I, is defined in the specification. The invention also provides a method for treating renal and cardiac dysfunction. The method includes administering to a subject in need thereof an effective amount of the compound of the invention and a pharmaceutical acceptable salt and carrier.

Abstract: A method adapted to diagnose airway obstruction in a subject is disclosed. The method comprises the following steps: providing plural cross-sectional ultrasound images of a region of the respiratory tract during the subject's normal breathing, wherein each ultrasound image has plural pixels and each pixel has a color scale value; selecting a region of interest in each ultrasound image; calculating a respective first statistic value. The pixels in each of the region of interest are identified to define a respective airspace region by the color scale values larger than or equal to the respective first statistic value. A respective width of the respiratory tract is calculated and based on the distribution of the pixels in the respective airspace region. The status about an airway obstruction in the subject is classified according to the second statistic value obtained by the calculation of the widths of the respiratory tract.

Abstract: A compound and a method thereof are provided. The compound of the invention has formula I shown below. Each variable in formula I and manufacturing method are defined in the specification. The invention also provides a method for treating organ dysfunction.

Abstract: A method adapted to diagnose airway obstruction in a subject is disclosed. The method comprises the following steps: providing plural cross-sectional ultrasound images of a region of the respiratory tract during the subject's normal breathing, wherein each ultrasound image has plural pixels and each pixel has a color scale value; selecting a region of interest in each ultrasound image; calculating a respective first statistic value. The pixels in each of the region of interest are identified to define a respective airspace region by the color scale values larger than or equal to the respective first statistic value. A respective width of the respiratory tract is calculated and based on the distribution of the pixels in the respective airspace region. The status about an airway obstruction in the subject is classified according to the second statistic value obtained by the calculation of the widths of the respiratory tract.