Abstract: Disclosed is an operational amplifier, including: a loading input transistor pair; a differential input transistor pair, which is connected with the loading input transistor pair, has a non-inverting input terminal receiving a non-inverting input signal, and has an inverting input terminal receiving an inverting input signal; a controller unit, generating a first control signal according to the non-inverting input signal and a second control signal according to the inverting input signal; a regulator unit, connected between the differential input transistor pair and ground, controlled by the first control signal and the second control signal, and select an on/off state of the regulator unit itself according to a voltage difference between the non-inverting and inverting input signals, which is withstood by a MOS transistor with high withstand voltage, thus allowing a source-drain voltage of the input transistor pair to be within a voltage range accepted by process.

Abstract: Coating compositions for porous substrates, and/or related methods including methods of manufacture and/or of use thereof are disclosed. Also, coating compositions for porous substrates, where the coating comprises at least a polymeric binder and heat-resistant particles with or without additional additives, materials or components are disclosed.

Abstract: Disclosed is a bandwidth adjustment circuit and a bandwidth adjustment method of an operational amplifier. The circuit comprises: a bias current generation unit connected with a bias current input terminal of the operational amplifier and used for providing a bias current to the operational amplifier; a current adjustment unit, connected with the bias current generation unit and an output terminal of the operational amplifier, respectively, and used for adjusting the bias current according to an output voltage of the operational amplifier to realize bandwidth adjustment on the operational amplifier. The bandwidth adjustment circuit and the bandwidth adjustment method can dynamically adjust the bandwidth of the operational amplifier according to the output voltage, not only improving stability when the output voltage of the operational amplifier is low, but also ensuring excellent performance of the operational amplifier when the output voltage is high.

Abstract: In an approach for using an open source of existing text labeling models to label sentences that need to be clustered with multiple external tags and then to use the tags as auxiliary information to perform the clustering at a dual level, a processor receives a set of text, wherein the set of text contains one or more sentences. A processor tags each sentence of the set of text with one or more tags using a plurality of open-source text classification models. A processor performs a preliminary clustering of one or more nodes under strict conditions using a canopy clustering algorithm.

Abstract: A robotic arm control method, a robot and it's controller are provided, the method includes: receiving an instruction to identify a target object to be operated; responsive to that the fixed portion is beyond a first location area, controlling the robot to move, until a fixed portion of a first mechanical arm of the robot is within the first location area; responsive to that the fixed portion is within the first location area, receiving a control instruction for operating the target object, invoking trajectory parameters of an end effector of the first mechanical arm relative to the target object, and obtaining a target posture of the end effector relative to the target object; controlling the end effector to reach and operate the target object directly or through a tool according to the trajectory parameters and the target posture.

Abstract: Training data models using machine learning can include training a computer data model of data distribution using a training data set. The training data set includes training data and additional training data, and the training data and the additional training data being represented by layers of data representing the data distribution of the training data set. The computer data model using the additional training data is iteratively trained for each of the layers of the training data set. Statistical noise is added randomly to each of the layers of the training data set. Data variations are detected in each of the layers of the additional training data. The data variations are diluted in each of the additional layers of the training data, and the computer data model is retrained for the training data set using the diluted data variations in each of the layers of the additional training data.

Abstract: A computer-implemented process for modifying a training dataset includes the following operations. The training dataset is benchmarked using a State Of The Art (SOTA) neural network to determine a benchmark for the training dataset. The training set is divided into a plurality of slices. A sequence of a plurality of atomic operations are selected using a selection strategy generator operating on one of the plurality of slices. The sequence of the plurality of atomic operations is applied to modify the one of the plurality of slices to generate a revised one of the plurality of slices. Reverse reinforcement learning is performed on the revised one of the plurality of slices using the benchmark and the SOTA neural network. The training dataset is modified by replacing the one of the plurality of slices with the revised one of the plurality of slices to generate a modified training dataset.

Abstract: Embodiments of the present invention provide a computer-implemented system and method for generating and searching a database containing all of the potential substructures (e.g., metabolites) of a chosen complex molecule based on minimum cleavable units (MCUs) of the chosen complex molecule, wherein each record in the generated database suitably defines the molecular weight and physical arrangement of each substructure. Embodiments of the invention also provide a user interface and a search engine for searching the database based on a query molecular weight (or query molecular weight range) to identify all of the substructures having a total molecular weight matching the query molecular weight or range. Embodiments of the invention are also capable of transmitting to a display device operated by an end user a description and/or a graphical representation of every identified substructure of the chosen complex molecule.

Abstract: This invention relates to berberine alkaloids, formulations thereof and their use for the prevention and/or treatment of infectious disease, especially disease caused by C. perfringens and Eimeria in animals. The invention also relates to improving the feed conversion ratio in a food producing animal by administering berberine compositions.

Abstract: An example operation may include one or more of monitoring a plurality of brokers within a cluster to identify current workload attributes of the plurality of brokers, determining a health value of a lead broker within the cluster via execution of a machine learning model on current workload attributes of the lead broker, determining to modify resources assigned to the lead broker based on the determined health value of the lead broker, executing an optimization algorithm on the current workload attributes of the plurality of brokers within the cluster to determine an optimum task distribution, and reallocating tasks amongst the lead broker and the one or more other brokers within the cluster based on the optimum task distribution.

Abstract: An intelligent experimental device for collaborative mining of associated resources includes a signal transmission mechanism, a pressure maintaining mechanism, a feeding mechanism, and a reaction mechanism. The signal transmission mechanism includes a centralized controller, an annunciator, signal receivers, a power supply, a power cord, signal transmitters, and signal sensing valves. The pressure maintaining mechanism includes ambient and axial pressure oil chambers, ambient and axial pressure pumps, ambient and axial pressure liquid distribution tanks, a comprehensive pressure distribution pipe, and hydraulic transmission pipes. The feeding mechanism includes monitoring analyzers, temperature controllers, solution transfer pipes, seepage pumps, mixture conveying pipes, a comprehensive liquid distributor, an aggregate chamber, a liquid chamber, an oil chamber, a gas chamber, a mixing chamber and an analytical purifier.

Abstract: Method, device and computer program product for providing quarantined workspaces. A virtualization application operates on a host to simulate a virtual guest. A management application operates within the virtual guest. The management application controls transmission between guest applications and locations external to the virtual guest. The management application stores encryption keys inaccessible to the host. The management application intercepts attempted transmissions from guest applications to locations outside the virtual guest. Secure data files are identified in the attempted transmissions and encrypted before leaving the virtual guest using the encryption keys. The management application also prevents any unencrypted data from being provided to non-kernel host processes that have not been previously identified as permitted host processes while allowing unencrypted data transmission from the non-kernel host processes to any of the guest application processes.

Abstract: In an approach, a processor obtains a configuration file of a distributed file system federation, the configuration file comprising a list of a plurality of subclusters within the distributed file system federation and migration trigger factors for the plurality of subclusters. A processor determines a list of one or more source subclusters and a list of to-be-migrated directories in the one or more source subclusters based on a scanning result of the plurality of subclusters and the migration trigger factors in the configuration file. A processor generates a migration plan to migrate the to-be-migrated directories from the one or more source subclusters to one or more target subclusters in the distributed file system federation.

Abstract: A method, computer program product and computer system to provide topic guide during document drafting is provided. A processor retrieves at least one section of text from a document. A processor receives a target topic for the document. A processor extracts at least one local topic from the at least one section of text. A processor generates a semantic network comprising the at least one local topic and the target topic. A processor determines a deviation value for the at least one local topic based on a distance between the at least one local topic and the target topic in the semantic network. A processor, in response to the deviation value exceeding a threshold value, alerts a user that the at least one section of text from the document is off-topic from the target topic.

Abstract: A porous membrane having a cross-linked ceramic coating on at least one side thereof is disclosed. The coated porous membrane may be used as a battery separator, particularly a battery separator for a lithium ion battery. The coating includes at least a cross-linker and a ceramic. The cross-linker may be a particulate polymeric binder cross-linker, a PEO (PEG) cross-linker, or a POSS cross-linker. The coated membrane exhibits improved properties that may be favorable for its use as a battery separator. For example, the coated porous membrane may exhibit improved shrinkage properties and high temperature resistance.

Abstract: Methods of encoding and decoding for video data are described for encoding or decoding coefficients for a transform unit. In particular, the sign bits for the non-zero coefficients are encoded using sign bit hiding. Two or more sets of coefficients are defined for the transform unit and a sign bit may be hidden for each set, subject to satisfaction of a threshold test. The sets may correspond to coefficient groups that are otherwise used in multi-level significance map encoding and decoding.

Abstract: A computer-implemented method and a system for training a computer-based autonomous driving model used for an autonomous driving operation by an autonomous vehicle are described. The method includes: creating time-dependent three-dimensional (3D) traffic environment data using at least one of real traffic element data and simulated traffic element data; creating simulated time-dependent 3D traffic environmental data by applying a time-dependent 3D generic adversarial network (GAN) model to the created time-dependent 3D traffic environment data; and training a computer-based autonomous driving model using the simulated time-dependent 3D traffic environmental data.

Abstract: Methods of encoding and decoding for video data are described for encoding or decoding coefficients for a transform unit. In particular, the sign bits for the non-zero coefficients are encoded using sign bit hiding. Two or more sets of coefficients are defined for the transform unit and a sign bit may be hidden for each set, subject to satisfaction of a threshold test. The sets may correspond to coefficient groups that are otherwise used in multi-level significance map encoding and decoding.

Abstract: An approach is provided for dynamically identifying a danger zone for a predicted traffic accident and generating a warning about the accident. From a monitoring device at a first location, information about traffic conditions for vehicles at time T0 and at least one subsequent time T0+t is received. Based on speeds of the vehicles and a fixed distance from the first location, a response time is calculated. Within the response time, a dual artificial intelligence (AI) model using shallow and deep learners applied on historical accident data is employed. Based on the dual AI model and the traffic conditions, an accident involving vehicle(s) in the traffic is predicted to occur in a zone. A warning about the accident is generated and sent to device(s) in the vehicle(s). The warning is presented to driver(s) of the vehicle(s).

Abstract: A method and system for neuro-feedback training are disclosed. According to certain embodiments, the method may include receiving, by a processor via a communication network, a brainwave signal measured by at least one sensor attached to a user. The method may also include determining, by the processor, a frequency distribution of the brainwave signal. The method may also include determining, by the processor, a reward in a video game when at least one first value indicative of an amount of the brainwave signal within a first frequency band meets a first criterion. The method may further include providing, to the user, a first feedback signal indicative of the reward.