Abstract: A method, system, and computer program product for incremental machine learning for a parametric machine learning model are disclosed. The method may include processing samples comprising historical samples and new samples with an existing parametric machine learning model to obtain at least one prediction residual of each of the samples, wherein the existing parametric machine learning model was trained based on the historical samples. The method may further include clustering the samples based on the at least one prediction residual of each of the samples and features of each of the samples. The method may further include sampling samples in each cluster to ensure that each cluster includes substantially similar number of sampled samples. The method may further include updating the existing parametric machine learning model to obtain an updated parametric machine learning model based on sampled samples in each cluster.

Abstract: A control information transmission method and apparatus, and a terminal device. A terminal device receives a first downlink signal, hybrid automatic repeat request-acknowledgement (HARQ-ACK) information corresponding to the first downlink signal being transmitted by means of a first physical uplink control channel (PUCCH); the terminal device receives a second downlink signal, HARQ-ACK information corresponding to the second downlink signal being transmitted by means of a second PUCCH. The second PUCCH and the first PUCCH correspond to a same HARQ-ACK codebook; and the terminal device cancels the transmission of the first PUCCH and transmits the second PUCCH, the second PUCCH carrying a first HARQ-ACK codebook, and the first HARQ-ACK codebook at least comprising the HARQ-ACK information corresponding to the second downlink signal.

Abstract: Provided are a wireless communication method and device. The method includes: determining, based on a first channel, whether to cancel transmission of a second channel. The first channel is determined based on at least one initial channel, and each initial channel of the at least one initial channel has a priority higher than a priority of the second channel. Whether to cancel the transmission of the second channel is determined based on the first channel, and the first channel is determined based on at least one initial channel. That is, the first channel that is used to determine whether to trigger to cancel transmission of the second channel is determined based on the at least one initial channel, which can ensure that the terminal device and the network device have consistent understandings of the first channel that is used to trigger whether to cancel transmission of the second channel.

Abstract: The present application discloses a spin Hall device, a method for obtaining a Hall voltage, and a max pooling method. The spin Hall device includes a cobalt ferroboron layer. A top view and a bottom view of the spin Hall device are completely the same as a cross-shaped graph that has two axes of symmetry perpendicular to each other and equally divided by each other. The spin Hall device of the present application has non-volatility and analog polymorphic characteristics, can be used for obtaining a Hall voltage and applied to various circuits, is simple in structure and small in size, can save on-chip resources, and can meet computation requirements.

Abstract: A method for using configured grant (CG) resources, a terminal device, and a network device are provided in implementations of the disclosure. The method for using CG resources includes the following. In response to reception of downlink feedback information (DFI), for a type-2 CG resource, a terminal device uses the DFI.

Abstract: The present invention discloses sporoderm-removed Ganoderma lucidum spore powder, granule and a preparation method thereof. The sporoderm-removed Ganoderma lucidum spore powder and granule is obtained from sporoderm-disrupted Ganoderma lucidum spore powder through extraction, centrifugation, sporoderm removal, concentration, drying, and pulverization; and in the sporoderm-removed Ganoderma lucidum spore powder and granule, the content of polysaccharides is 10-20 g/100 g, and the content of total triterpenes is 4-10 g/100 g. The present invention has beneficial effects of enhancing immunity and having an auxiliary protection function against radiation hazards.

Abstract: The present disclosure provides a cytokine-based bioactivatable drug construct (“VitoKine”) platform that aims to reduce systemic mechanism-based toxicities and lead to broader therapeutic utility for proteins and cytokines such as IL-15 and IL-2 for the treatment of cancer, autoimmune diseases, inflammatory diseases, viral infection, transplantation and various other disorders. The novel VitoKine constructs of the present invention comprise: 1) a tissue or disease site targeting moiety D1 domain (“D1”), 2) a bioactivatable moiety D2 domain (“D2”), and a concealing moiety D3 domain (“D3”). Importantly, because the “active moiety” of the VitoKine construct will remain inert until activated locally by proteases that are upregulated in diseased tissues, this will limit binding of the active moiety to the receptors or to the targets in the peripheral or on the cell-surface of non-diseased cells and tissue to prevent over-activation of the pathway and reduce undesirable “on-target” “off tissue” toxicities.

Abstract: Exemplary methods of electroplating include contacting a patterned substrate with a plating bath in an electroplating chamber, where the pattern substrate includes at least one opening having a bottom surface and one or more sidewall surfaces. The methods may further include forming a nanotwin-containing metal material in the at least one opening. The metal material may be formed by two or more cycles that include delivering a forward current from a power supply through the plating bath of the electroplating chamber for a first period of time, plating a first amount of the metal on the bottom surface of the opening on the patterned substrate and a second amount of the metal on the sidewall surfaces of the opening, and delivering a reverse current from the power supply through the plating bath of the electroplating chamber to remove some of the metal plated in the opening on the patterned substrate.

Abstract: A threshold voltage detecting method is disclosed in the present application. In the threshold voltage detecting method provided in the present application, a path between a driving transistor and a detecting circuit is shut down during detecting, so that a current flowing through the driving transistor in a detecting stage only needs to charge a storage capacitor, but does not need to charge a parasitic capacitor on the detecting circuit, thereby shortening a threshold voltage detecting time of the driving transistor, and further improving threshold voltage detecting efficiency of the driving transistor.

Abstract: The present disclosure relates to the field of mobile communication. Disclosed are a method for determining a feedback codebook determining, a terminal device, and a computer-readable storage medium. The method includes determining a first time-domain resource set, wherein the first time-domain resource set comprises at least one time-domain resource, a first time-domain resource of the at least one time-domain resource belongs to a slot, and the slot comprises a plurality of subslots; determining a second time-domain resource set from the first time-domain resource set, wherein an end time-domain symbol of a time-domain resource of the second time-domain resource set is located in a first subslot of the plurality of subslots; and determining the feedback codebook based on the second time-domain resource set.

Abstract: Embodiments of the present disclosure provide a method, an apparatus, and a terminal for service transmission. The method includes determining which service is allowed to be transmitted on configured grant resource, according to a first indication information. By determining the service allowed to be transmitted on the configured grant resource, the mapping relationship between service types and uplink grant types is specified.

Abstract: Using incremental learning techniques and statistic-based approaches to update models. In some instances, a set of residual values are calculated by extracting features by determining the difference between an original data model and a new data model. The calculated set of residual values are ultimately used to update the original model to produce a final data model that is structured and configured to seamlessly process data from both the original data model and the new data model.

Abstract: The present disclosure provides a cytokine-based bioactivatable drug construct (“VitoKine”) platform that aims to reduce systemic mechanism-based toxicities and lead to broader therapeutic utility for proteins and cytokines such as IL-15 and IL-2 for the treatment of cancer, autoimmune diseases, inflammatory diseases, viral infection, transplantation and various other disorders. The novel VitoKine constructs of the present invention comprise: 1) a tissue or disease site targeting moiety D1 domain (“D1”), 2) a bioactivatable moiety D2 domain (“D2”), and a concealing moiety D3 domain (“D3”). Importantly, because the “active moiety” of the VitoKine construct will remain inert until activated locally by proteases that are upregulated in diseased tissues, this will limit binding of the active moiety to the receptors or to the targets in the peripheral or on the cell-surface of non-diseased cells and tissue to prevent over-activation of the pathway and reduce undesirable “on-target” “off tissue” toxicities.

Abstract: According to embodiments, a method, a device and a computer program product for model update determination are proposed. In the method, a plurality of historical data items and a plurality of new data items are obtained. The plurality of historical data items were used for training a model, and the plurality of new data items are to be applied to the model. At least one of an overall difference, a structural difference, and a confidence difference between the plurality of historical data items and the plurality of new data items is determined. Thereby, an indication indicating whether to update the model is determined based on the at least one of the overall difference, the structural difference, and the confidence difference.

Abstract: An approach is provided in which the approach generates anomaly score variables using multiple unsupervised models based on a set of data records. The approach normalizes the anomaly score variables into multiple normalized variables, and constructs at least one interaction based on a first one of the normalized variables and a second one of the normalized variables. The first normalized variable corresponds to a first one of the anomaly score variables and the second normalized variable corresponds to a second one of the anomaly score variables. The approach detects a set of anomalies based on the at least one interaction and transmits the set of anomalies to a user.

Abstract: One or more computer processors determine a web segment in a web page to be displayed in a visual area and a rendering mode for the web segment. The one or more computer processors retrieve content in the web segment, wherein retrieving the content comprises: in response to the content being cached in a cache memory, retrieving, by one or more processors, the content from the cache memory. The one or more computer processors render the retrieved content to be displayed in the visual area according to the determined rendering mode for the web segment.

Abstract: An approach is provided in which the approach captures a first user activity log of a first user accessing multiple systems and captures a set of second user activity logs of a set of second users accessing the multiple systems. The approach determines a set of system monitoring preferences based the first user activity log and the set of second user activity logs, and scores the multiple systems based on the set of system monitoring preferences. The approach generates a recommended system monitoring list based on the scored multiple systems, and transmits the recommended system monitoring list to the first user.

Abstract: The present disclosure provides a MEMS micromirror with a high duty cycle, a micromirror array, and a preparation method thereof, wherein a plurality of first movable combs and a plurality of first fixed combs of the MEMS micromirror are located under the silicon layer of the reflector, which improves the duty cycle and effectively reduces the size of the MEMS micromirror while achieving large angle deflection in two directions. The silicon layer of the reflector has a reinforcing rib underneath, which effectively improves surface smoothness of the MEMS micromirror when the latter is still or moving. In addition, the MEMS micromirror has a variety of electrode lead-out forms including a double-sided electrode structure, and the electrode lead-out form during actual implantation can be selected as needed, which is conducive to the commercialization of MEMS micromirrors and micromirror arrays.

Abstract: Embodiments of the present disclosure relate to methods, systems, and computer program products for classification based on imbalanced dataset. In a method, a plurality of predictive models are generated based on a plurality of positive samples included in an imbalanced dataset, respectively, an amount of the plurality of positive samples being below an amount of a plurality of negative samples that are included in the imbalance dataset, and each sample in the plurality of positive and negative samples including a plurality of parameters. A plurality of influential parameter groups are identified from the plurality of parameters for the plurality of positive samples, respectively. A final predictive model is determined based on the plurality of predictive models and the plurality of influential parameter groups, the final predictive model being used for classifying a sample into one of a positive type and a negative type.