Abstract: The disclosure provides chemical compounds possessing therapeutic and/or protective properties against oxidative damage. Methods of making such therapeutic and/or protective compounds and associated compositions are also provided, as are methods for their use, which include protecting cells from oxidative damage and/or inhibiting production of ROS in a cell or subject, as well as preventing or reducing the extent of tissue damage caused by an ischemic event in a subject at elevated risk of such an event.

Abstract: A driver assistance device includes a one or more processors. The one or more processors is configured to determine whether a pedal misapplication determination condition is satisfied, and output, when the one or more processors determines that the pedal misapplication determination condition is satisfied, at least one of a warning display and warning audio directly instructing a driver to release the pedal that is depressed at a point in time of outputting.

Abstract: The present invention relates to a big data evaluation method and system. The method comprises steps of: determining evaluated data, reference data and different statistical indexes for data evaluation according to a preset experimental requirement; performing comparative calculation according to the evaluated data, the reference data and the statistical indexes to obtain corresponding numerical values of the statistical indexes; normalizing the numerical values of the statistical indexes to obtain normalized data; establishing a multi-dimensional spatial coordinate system according to the normalized data, and determining a distance value between the preset evaluation data and the reference data according to the multi-dimensional spatial coordinate system; and judging the comprehensive simulation capability of the evaluated data according to the distance value.

Abstract: A movement adjustment system based on heart rates and rating of perceived exertion (RPE) feedbacks of different users is provided, including: a user client, a heart rate monitoring device, a server, and a doctor client. The user client includes an RPE self-rating module, an RPE data acquisition module, a user-side video movement display module, and a user-side data storage module. The heart rate monitoring device includes an exercise data acquisition module. The server includes a data input module, a core processor, and a video movement library. The doctor client includes a doctor-side video movement display module, a video movement sending module, and a doctor-side data storage module. The above system according to the present disclosure adjusts, based on objective heart rate feedbacks during exercise and subjective RPE feedbacks after the exercise of different users, movements of next exercise of a patient.

Abstract: A movement adjustment system based on heart rates and rating of perceived exertion (RPE) feedbacks of different users is provided, including: a user client, a heart rate monitoring device, a server, and a doctor client. The user client includes an RPE self-rating module, an RPE data acquisition module, a user-side video movement display module, and a user-side data storage module. The heart rate monitoring device includes an exercise data acquisition module. The server includes a data input module, a core processor, and a video movement library. The doctor client includes a doctor-side video movement display module, a video movement sending module, and a doctor-side data storage module. The above system according to the present disclosure adjusts, based on objective heart rate feedbacks during exercise and subjective RPE feedbacks after the exercise of different users, movements of next exercise of a patient.

Abstract: An apparatus distributing communication load over a plurality of communication cells may select action centers from random cell reselection values, based on a standard deviation of an internet protocol (IP) throughout over the plurality of communication cells; input a first vector indicating a communication state of a communication system and a second vector indicating the standard deviation of the IP throughout of the plurality of communication cells, to a neural network to output a sum of the action centers and offsets as cell reselection parameters; and transmit the cell reselection parameters to the communication system to enable a base station of the communication system to perform a cell reselection based on the cell reselection parameters.

Abstract: An electronic apparatus includes: a first body including a first side and a second side arranged opposite to each other, and including a first input/output device disposed at the first side; a second body including a third side and a fourth side arranged opposite to each other, and including a second input/output device disposed at the third side; and a connector disposed at the first side and the fourth side. The second body rotates relative to the first body through the connector. During rotation of the second body, orientations of the first side and the third side substantially satisfy a same condition. The electronic apparatus includes a first attitude and a second attitude, which are switchable through the rotation of the second body. The second body does not block the first input/output device when the electronic apparatus is in the first attitude and the second attitude.

Abstract: Compounds are provided as chemokine inhibitors having the structure:

Abstract: A method for providing access to objects associated with a particular client in a cloud storage system is disclosed. The method includes the steps of establishing a connection with a user, providing a client namespace associated with the client to the user, where the client namespace represents objects stored on the cloud storage system and objects stored on a private storage system apart from the cloud storage system, receiving a request from the user to access an object stored on the private storage system, and providing information to the user to facilitate access to the object stored on the private storage system by said user. Other systems and methods are also disclosed. Important advantages of the present invention are facilitated by separating the logic for user access (control plane) from the actual storage (Storage plane). Private file system access can still be managed from the cloud, while keeping the client data private.

Abstract: Provided herein, in some aspects, are methods of imaging molecules without a microscope or other specialized equipment, referred to herein as “microscope-free imaging (MFI).” Herein, “molecular instruments” (e.g., DNA-based and protein-based molecules) are used, instead of microscopes, in a “bottom-up” approach for inspecting molecular targets.

Abstract: A computer-implemented technique performs machine learning that bypasses the traditional design of loss functions. The technique includes receiving plural instances of gradient objective information. Each of the plural instances includes a particular combination of plural gradient elements. The technique produces plural sets of machine-trained parameter values using the plural respective instances of gradient objective information. The technique performs this operation based on the plural instances of gradient objective information as given, without calculating the plural instances of gradient objective information using loss functions. The technique then measures performance of the plural sets of machine-trained parameter values in an application system. Based on the measured performance, the technique provides output information that identifies a particular set of machine-trained parameter values that satisfies a prescribed test.

Abstract: The present disclosure relates to an apparatus and method for automatically adjusting an exercise prescription based on an exercise heart rate. The apparatus includes: a heart rate detection device, configured to detect a resting heart rate and a user's real-time exercise heart rate; an exercise movement library, configured to store various exercise instruction video and audio, and provide movement guidance for the user; an exercise guidance module, configured to retrieve and display movement video and audio from the exercise movement library to the user; and a central processing unit (CPU), configured to acquire the resting heart rate and the user's real-time exercise heart rate, calculate an effective exercise target heart rate range based on the resting heart rate, determine whether the real-time exercise heart rate falls within the effective exercise target heart rate range.

Abstract: The present disclosure relates to an apparatus for differentially calculating target heart rates of different users, including: a user client, including a health data acquisition module, a medication data acquisition module, and a user-side target heart rate display module; a heart rate detection device, worn on a user and including an exercise test data acquisition module; a server, including a data input module and a core processor; and a doctor client, including a data sending module and a doctor-side target heart rate display module.

Abstract: Articles are described comprising a substrate and a hardcoat layer disposed on the substrate. The hardcoat layer comprises the hydrolyzed and condensed reaction product of a composition comprising: i) first hydrophobic silane monomer(s) having the formula R1Si(OR)3 wherein R and R1 is methyl or ethyl; ii) optional second silane monomer(s) having the formula (R2)4-mSi(OR)m or Si(OR)4, wherein R, R1 and R2 are organic groups with the proviso that R1 is not methyl or ethyl and m ranges from 1 to 3. The hardcoat layer N may further comprises 10 to 30 wt. % silica nanoparticles. A surface layer comprising a hydrophilic silane may be disposed on the hardcoat layer. Also described is a method of using an article having a rewritable surface, hardcoat coating compositions, and methods of making hardcoat compositions and articles.

Abstract: Apersonalized exercise guidance system and method based on machine learning are provided. The personalized exercise guidance system includes: a server, a doctor client, and a patient client. The patient client is configured to obtain basic data, evaluation data, and exercise behavior data of a patient, and send the basic data, the evaluation data, and the exercise behavior data to the server. The doctor client is configured to determine an exercise prescription according to the basic data and medical record data of the patient, and upload the exercise prescription and the medical record data to the server. The server is configured to determine an exercise effect according the evaluation data and the exercise behavior data of the patient.

Abstract: The present disclosure relates to a method and system for generating an exercise prescription based on multi-label screening and difficulty classification. The method includes: obtaining movement data from a database; classifying the movement data according to different effects of different exercises on an cardiopulmonary function; obtaining results of an exercise test of a patient; determining an exercise intensity of the patient according to the results of the exercise test; matching the exercise intensity with the classified movement data to obtain a movement data level corresponding to the exercise intensity; and generating a corresponding exercise prescription according to the movement data level. The method can automatically generate the corresponding exercise prescription according to different conditions of patients.

Abstract: A server may be provided to obtain a load balancing artificial intelligence (AI) model for a plurality of base stations in a communication system. The server may obtain teacher models based on traffic data sets collected from the base stations, respectively; perform a policy rehearsal process including obtaining student models based on knowledge distillation from the teacher models, obtaining an ensemble student model by ensembling the student models, and obtaining a policy model by interacting with the ensemble student mode; provide the policy model to each of the base stations for a policy evaluation of the policy model; and based on a training continue signal being received from at least one of the base stations as a result of the policy evaluation, update the ensemble student model and the policy model by performing the policy rehearsal process on the student models.

Abstract: The present disclosure relates to an apparatus and method for automatically adjusting an exercise prescription based on an exercise heart rate. The apparatus includes: a heart rate detection device, configured to detect a resting heart rate and a user's real-time exercise heart rate; an exercise movement library, configured to store various exercise instruction video and audio, and provide movement guidance for the user; an exercise guidance module, configured to retrieve and display movement video and audio from the exercise movement library to the user; and a central processing unit (CPU), configured to acquire the resting heart rate and the user's real-time exercise heart rate, calculate an effective exercise target heart rate range based on the resting heart rate, determine whether the real-time exercise heart rate falls within the effective exercise target heart rate range.

Abstract: A specification for a semi-conductor chip is received. The specification specifies a set of photomasks associated with a metal layer of the semi-conductor chip. Multiple portions of an area of the metal layer are identified. A respective image is generated for each portion of the area based on the photomasks. A respective drawn density of metal wires for each portion of the area is calculated. A trained machine learning model is invoked to predict a respective silicon density of metal wires for each respective portion of the area based on an image and a drawn density for the respective portion of the area. A silicon density for the area of the metal layer is calculated based on a combination of predicted silicon densities for the multiple portions of the area. The combination is based on an average value of the predicted silicon densities for the multiple portions of the area.

Abstract: In one aspect provided herein are methods of determining a triple negative breast cancer (TNBC) subtype in an individual in need thereof comprising determining expression of one or more genes in one or more TNBC cells of the individual; and comparing the expression of the one or more genes in the TNBC cells with the expression of the one or more genes in a control. In another aspect, the methods are directed to determining a treatment protocol for the TNBC patient based on the TNBC subtype. In another aspect, the methods are directed to predicting whether an individual will benefit from a treatment for a particular TNBC subtype. In yet another aspect, the invention is directed to a method of determining whether an agent can be used to treat a TNBC subtype.