Abstract: Embodiments of the present disclosure are directed towards a memory device including a top wordline contact located in a region that is protected from erosion during a planarization process, e.g., chemical mechanical polish (CMP). In embodiments, a plurality of wordlines are formed in a stack of multiple layers and a plurality of wordline contacts are formed to intersect with the plurality of wordlines. In embodiments, the stack forms a staircase and each of the plurality of wordline contacts lands on a corresponding each of the wordlines proximate to an edge of the staircase such that a top wordline contact lands in a region on a top wordline previously covered by a sacrificial layer. In some embodiments, the region is proximate to a raised notch at an edge of the staircase. Other embodiments may be described and claimed.

Abstract: Systems and techniques are provided for compressing data. A process can include generating a compressed sub-packet by removing one or more sparsity bytes from a sequence of values corresponding to a sub-packet, the sequence of values including one or more sparsity bytes each equal to a configured sparsity value and one or more non-sparsity bytes each corresponding to a respective data value different from the configured sparsity value. A sub-packet header can be generated for the compressed sub-packet, and indicative of a respective location within the sequence of values of each non-sparsity byte. A packet header can be generated for a plurality of compressed sub-packets, and indicative of the configured sparsity value and respective coding information for each compressed sub-packet. A compressed data packet can be generated to include at least the packet header, the sub-packet header, and the one or more non-sparsity bytes included in the sequence of values.

Abstract: A label-free optical biosensing system and method provide high sensitivity and specificity for in situ detection and activity estimation of serotypes, such as Botulinum Neurotoxins (BoNT). Pre-fabricated thin-film support structures are treated with a competitive immunoassay coupled to a biochemical cascade reaction, which provides optical signal amplification. When the thin-film support structures receive a target analyte and are exposed to polychromatic light, reaction products cause a change in average refractive index which appears in reflectivity spectra measured by an optical interferometer. Optical signal amplification enables a linear response for serotype concentrations of only a few picograms per millilitre, as well as a level-of-detection threshold of 5.0 picograms per millilitre or less. The specificity and selectivity of the method have been verified in studies using various combinations of different serotypes as a target analyte.

Abstract: This document discloses a solution for managing multiple subscriber identifiers in a network node. According to an aspect, a method for a first network node comprises: storing at least two subscriber identifiers; triggering a handover procedure for a first subscriber identifier of the at least two subscriber identifiers; and transmitting, during the handover procedure, a handover message to a second network node, the second network node managing a target cell for the handover procedure, wherein the handover message comprises at least a second subscriber identifier of the at least two subscriber identifiers.

Abstract: Methods and systems for range testing mock devices using mesh topology are provided herein. For example, a method for range testing mock devices using mesh topology comprises supplying power to a plurality of mock devices corresponding to a plurality of actual devices in an energy management system, adding the plurality of mock devices to a range test list via a first wireless protocol, positioning the plurality of mock devices in a location where the plurality of actual devices will be installed, and triggering a range test via a second wireless protocol different than the first wireless protocol to determine if the plurality of mock devices have communication therebetween.

Abstract: A memory array including integrated word line (WL) contact structures are disclosed. The memory array comprises a plurality of WLs that includes at least a first WL and a second WL. An integrated WL contact structure includes a first WL contact and a second WL contact for the first WL and the second WL, respectively. The second WL contact extends through the first WL contact. For example, the second WL contact is nested within the first WL contact. An intervening isolation material isolates the second WL contact from the first WL contact. In an example, the second WL contact extends through a hole in the first WL to reach the second WL. The isolation material isolates the second WL contact from sidewalls of the hole in the first WL.

Abstract: A protein language natural language processing (NLP) system is trained to predict binding affinity. Amino acids of proteins are tokenized and masked. A first neural network is trained on TCR sequences and epitope sequences in an unsupervised or self-supervised manner. The information obtained from the first phase of training is applied in a subsequent training operation via transfer learning, to a second neural network. An annotated compact dataset is used to fine-tune the second neural network in a second phase of training, and in a supervised manner, to predict biophysiochemical properties of proteins, including TCR-epitope binding.

Abstract: A phantom for fibrous tissue, the phantom formed from a precursor solution including about 30-90 wt % of water, acrylamide, and alginate, where the acrylamide and alginate, in combination, are about 10 to 70 wt % of the precursor solution, and where a ratio of acrylamide to alginate is in the range of about 60:40 to about 99:1 w/w.

Abstract: Logic may identify feature contributions to erroneous predictions by predictive models. Logic may provide a set of two or more models. Each model may train based on a training dataset and test based on a testing dataset and two or more models may be unique. Logic may test the set during a monitoring period. Logic may perform residual modeling on each model in the set during the monitoring period and may determine a list of input features that contribute to a residual of each model of the set. A residual comprises a difference between a predicted result and an expected result. Logic may generate a combined list of the input features from the set and may rank the input features. Logic may perform a voting process to generate the ranks for the input features. And logic may classify features as exogenous or endogenous based on a threshold and the ranks.

Abstract: This document discloses a solution for sharing information on subscriber identifiers in a network. According to an aspect, a method comprises: storing, in a mobility management node, at least two subscriber identifiers; and transmitting, by the mobility management node to a target network node during setup of a bearer for a first subscriber identifier of the at least two subscriber identifiers, a message comprising at least a second subscriber identifier of the at least two subscriber identifiers.

Abstract: Logic may identify feature contributions to erroneous predictions by predictive models. Logic may provide a set of two or more models. Each model may train based on a training dataset and test based on a testing dataset and two or more models may be unique. Logic may test the set during a monitoring period. Logic may perform residual modeling on each model in the set during the monitoring period and may determine a list of input features that contribute to a residual of each model of the set. A residual comprises a difference between a predicted result and an expected result. Logic may generate a combined list of the input features from the set and may rank the input features. Logic may perform a voting process to generate the ranks for the input features. And logic may classify features as exogenous or endogenous based on a threshold and the ranks.

Abstract: The present disclosure relates to fungicidal combinations, compositions including the fungicidal combinations, and to a method of controlling fungal diseases using the combinations. The combination includes at least one demethylation inhibitor; at least one succinate dehydrogenase (SDH) inhibitor; at least one RNA polymerase I inhibitor; and at least one ß-tubulin assembly inhibitor and/or at least one multi-site fungicide.

Abstract: The disclosure presents processes and methods for determining a packoff event at a location in a borehole undergoing a drilling operation. The packoff event can be represented by a packoff risk indicator (PRI) that presents, for example, a percentage risk of the packoff event occurring. The PRI can be utilized to initiate a remediation operation prior to the packoff event becoming more severe, such as a stuck drill string. In some aspects, the generation of the PRI can utilize an uncertainty model to provide a range of input parameters and an uncertainty parameter used by other systems to evaluate the risk of the potential packoff event has on borehole operations. In some aspects, the generation of the PRI can utilize machine learning algorithms or deep neural network algorithms to pre-process the input parameters to improve the accuracy of the PRI and of the models used to generate the PRI.

Abstract: Apparatuses and methods in a communication system are provided. A method comprises: maintaining in a terminal more than one subscription identities and controlling by the user terminal transmission of a message comprising information that the terminal maintains more than one subscription identities.

Abstract: Embodiments of the present disclosure are directed towards a memory device including a top wordline contact located in a region that is protected from erosion during a planarization process, e.g., chemical mechanical polish (CMP). In embodiments, a plurality of wordlines are formed in a stack of multiple layers and a plurality of wordline contacts are formed to intersect with the plurality of wordlines. In embodiments, the stack forms a staircase and each of the plurality of wordline contacts lands on a corresponding each of the wordlines proximate to an edge of the staircase such that a top wordline contact lands in a region on a top wordline previously covered by a sacrificial layer. In some embodiments, the region is proximate to a raised notch at an edge of the staircase. Other embodiments may be described and claimed.

Abstract: An aspect of the present disclosure facilitates performance of node management actions in a computing infrastructure having diverse node interfaces. In one embodiment, a configuration data is maintained, the configuration data specifying plugins designed to communicate with different node interfaces installed on the nodes of a computing infrastructure. The plugins are corresponding implementations of a common client interface. Upon receiving from the client application, via the common client interface, a management action to be performed on a desired node, the configuration data is inspected to identify a specific plugin corresponding to the node interface installed on the desired node. The node management action is then performed on the desired node using the identified specific plugin. Accordingly, the client application can be implemented agnostic to the specific node interfaces installed on a node.

Abstract: Logic may identify feature contributions to erroneous predictions by predictive models. Logic may provide a set of two or more models. Each model may train based on a training dataset and test based on a testing dataset and two or more models may be unique. Logic may test the set during a monitoring period. Logic may perform residual modeling on each model in the set during the monitoring period and may determine a list of input features that contribute to a residual of each model of the set. A residual comprises a difference between a predicted result and an expected result. Logic may generate a combined list of the input features from the set and may rank the input features. Logic may perform a voting process to generate the ranks for the input features. And logic may classify features as exogenous or endogenous based on a threshold and the ranks.

Abstract: Method and apparatus for commissioning a distributed energy generation system.

Abstract: Technologies for secure I/O data transfer with an accelerator device include a computing device having a processor and an accelerator. The processor establishes a trusted execution environment. The trusted execution environment may generate an authentication tag based on a memory-mapped I/O transaction, write the authentication tag to a register of the accelerator, and dispatch the transaction to the accelerator. The accelerator performs a cryptographic operation associated with the transaction, generates an authentication tag based on the transaction, and compares the generated authentication tag to the authentication tag received from the trusted execution environment. The accelerator device may initialize an authentication tag in response to a command from the trusted execution environment, transfer data between host memory and accelerator memory, perform a cryptographic operation in response to transferring the data, and update the authentication tag in response to transferrin the data.

Abstract: Logic may identify feature contributions to erroneous predictions by predictive models. Logic may provide a set of two or more models. Each model may train based on a training dataset and test based on a testing dataset and two or more models may be unique. Logic may test the set during a monitoring period. Logic may perform residual modeling on each model in the set during the monitoring period and may determine a list of input features that contribute to a residual of each model of the set. A residual comprises a difference between a predicted result and an expected result. Logic may generate a combined list of the input features from the set and may rank the input features. Logic may perform a voting process to generate the ranks for the input features. And logic may classify features as exogenous or endogenous based on a threshold and the ranks.