Abstract: The presently disclosed invention relates to an enzymatic pre-treatment method for efficient saccharification of lignocellulosic materials. The invention involves a process for releasing carbohydrates/sugars from processing the agricultural feedstock and pre-treating the processed feedstock with lignin modifying enzymes (LME) to produce the reaction mixture which is further used for releasing free carbohydrates/sugars. More particularly, it relates to the production of lignin modifying enzymes and efficient delignification of lignocellulosic materials by using lignin modifying enzymes to prepare ethanol or other bio-chemicals.

Abstract: A computer-implemented method for network switch auto-commissioning includes generating, automatically, a device configuration file that includes parameters and initial settings for a network device; generating, automatically, a delta file that includes parameters and initial settings for a mobile backhaul (MBH) node communicatively connected to the network device; transmitting the device configuration file to the network device; obtaining an IP address pool for the network device and connected network devices; and registering the network device with one or more network nodes.

Abstract: Techniques for selective intelligent enforcement for mobile networks using a security platform are disclosed.

Abstract: In an example, a system is adapted to be coupled to a load device having a load clock. The system includes a clock generation device with a pin. The system also includes a capture circuit coupled to the pin and operable to sample a value at the pin. The system includes a D flip-flop having a data input coupled to the capture circuit, a clock input coupled to a clock, and having an output, where the D flip-flop is operable to provide, at the output, a system reference event (SYSREF) signal to align the load clock to the clock, based at least in part on the value at the pin.

Abstract: A biaxially stretchable laminated fabric composite material includes a four-way stretchable fabric and a barrier film. The barrier film and the fabric are selectively attached at a plurality of individual bond points. When the fabric is in an unstretched state, random folds are formed in the unbonded regions of the barrier film. When the fabric is in a stretched state, the random folds are partially or fully flattened to allow the biaxially stretchable laminated fabric composite material to biaxially stretch.

Abstract: One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to a process to interpret results of a semantic clustering Structured Query Language (SQL) Cognitive Intelligence (CI) query. A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components can comprise an interpretability component that can identify dominant traits of a query input to determine a ranking of query results by identifying influential tokens of the query input based on data statistics and observing the dominant traits in influential tokens of a query output. In one or more embodiments, the interpretability component can identify dominant traits of the query input by incorporating co-occurrence measurements.

Abstract: In one embodiment, a method by an apparatus of a Border Gateway Protocol (BGP) network includes accessing an attestation token for the apparatus. The method further includes encoding the attestation token in a BGP signaling message. The method further includes sending the BGP signaling message with the encoded attestation token to a second apparatus of the BGP network.

Abstract: A first data connector for communicating data with a second data connector includes a data communication interface including adjacent radiofrequency antenna elements, wherein a plurality of the adjacent radiofrequency antenna elements forms a radiofrequency data antenna array and another radiofrequency antenna element of the adjacent radiofrequency antenna elements forms a radiofrequency control channel antenna element, each radiofrequency antenna element of the radiofrequency data antenna array being configured to communicate a subchannel signal of the data to a corresponding radiofrequency data antenna element of a data communication interface of the second data connector bidirectionally. The radiofrequency control channel antenna element is configured to manage data communications through the radiofrequency data antenna array. An attachment interface is positioned on the first data connector and configured to removably attach the first data connector to the second data connector.

Abstract: Embodiments herein provide a method and system for a hyperspectral artificial vision for machines. The system receives a hyperspectral signal of a target material as an input to a neural network model. The system initializes by selecting the number of primitive layers to be used. The system iteratively cycles through all training data (pixels) and updating weights for each unsuccessful material class prediction. Model with two primitives serves as baseline, after which the system adds another primitive layer and repeats the training procedure. The system keeps repeating these processes until obtains convergence. Where the system come to a halt, the system obtains the optimal number of primitives for the given materials. The generated new color pixel is used as a discriminator to aid in locating the target material. The new artificial color is a mixture of weighted chromatic primitives which are optimized for sensitivity/(Spectral Response Functions) SRFs.

Abstract: A method may include: receiving input data comprising company business descriptions, industry tags, and industry tag descriptions; creating a similarity matrix for the industry tags using a minimum labeling strategy, wherein the similarity matrix comprises a plurality of similarity scores for pairs of industry tags; sampling the industry tags using a stratified sampling method; generating a semantic textual similarity style dataset comprising triplets of the industry tag descriptions, the company business descriptions, and the similarity scores; fine-tuning a baseline language model for a semantic similarity model; training the semantic similarity model by subjecting embeddings generated for pairs of the company business description and industry tag descriptions to a cosine similarity function; creating a checkpoint model for the semantic similarity model, and inferring an industry tag for each company using the checkpoint model that generates a cosine similarity for pairs for industry tag descriptions.

Abstract: A method for ensuring precedence for the processing of a blockchain transaction to prevent loss of cryptographic currency includes receiving a new blockchain transaction by a blockchain node in a blockchain network, confirming the new blockchain transaction including identifying a precedence transaction that was previously conducted and stored in the blockchain that involves both blockchain wallets included in the new blockchain transaction, including the new blockchain transaction in a new block that is generated, and distributing the new block to additional nodes in the blockchain network for confirmation and addition to the blockchain.

Abstract: The present invention relates to mechanochemically carbonated slags. The invention further relates to methods of its production and uses thereof, for example a filler. The invention further relates to compositions comprising the mechanochemically carbonated slag and a further material selected from the group consisting of asphalt, geopolymer, cement, polymers and combinations thereof and methods of their production. The invention further relates to concrete and methods of their preparation.

Abstract: The present invention relates a mechanochemically carbonated clay. The invention further relates to methods of its production and uses thereof. The invention further relates to compositions comprising the mechanochemically carbonated clay and a further material selected from the group consisting of asphalt, cement, polymers and combinations thereof. The invention further relates to concrete and methods of their preparation.

Abstract: Video decoding systems and techniques are described. The decoder applies a deblocking (DB) filter to the plurality of sub-blocks of a block of video data to generate a DB-filtered plurality of sub-blocks. The decoder applies the DB filter to one or more lines (e.g., columns) of pixels in an additional sub-block of the block to generate a DB-filtered portion of the additional sub-block. The one or more lines of pixels in the additional sub-block are filtered without filtering an entirety of the additional sub-block using the DB filter. The additional sub-block is adjacent to at least one of the plurality of sub-blocks. The decoder applies a constrained directional enhancement filter (CDEF) to the DB-filtered plurality of sub-blocks and the DB-filtered portion of the additional sub-block to generate a CDEF-filtered plurality of sub-blocks.

Abstract: A multi-tenant system provides software-updating functionality that selectively updates tenant systems according to a number of different factors. In some embodiments, the factors include evaluation of “health metrics” that quantify how well tenant systems are functioning after an update of software components to the latest version, policies specified by either the tenants or the multi-tenant system (or both), and/or “kill switches” specified by the multi-tenant system that prevent updating, as some examples.

Abstract: In one embodiment, a method by an apparatus of a Border Gateway Protocol (BGP) network includes accessing an attestation token for the apparatus. The method further includes encoding the attestation token in a BGP signaling message. The method further includes sending the BGP signaling message with the encoded attestation token to a second apparatus of the BGP network.

Abstract: A system (1, 21) for obtaining samples for a dynamic resource management system in a wireless network is configured to analyze (101) data for a dynamic resource management system to determine one or more combinations of input values which are not present or underrepresented in the data. The dynamic resource management system uses supervised learning to estimate resource demand. The system is further configured to adjust (103) one or more flow characteristics of a data flow between a user device and a base station to obtain one of the combinations of input values, determine a quantity of resources used for the data flow and actual state and/or cell characteristics relevant to the data flow, create a new sample based on the used quantity of resources, the adjusted flow characteristics, and the actual state and/or cell characteristics, and store the new sample in the data.

Abstract: One or more embodiments perform dynamic market segmentation as described in further detail herein. Dynamic market segmentation may include machine learning. Dynamic market segmentation may leverage respondents' responses to survey questions, which may be organized into a progression of survey modules designed to improve market segmentation.

Abstract: Systems and methods are disclosed for classifying objects by a machine learning (ML) model. The ML model includes one or more layer level classification models to generate classifications and uncertainty metrics in the classifications and a meta-model to generate a final classification and confidence based on the underlying classifications and uncertainty metrics. In some implementations, the ML model provides an object to be classified to one or more layer level classification models, and the layer level classification models generate a classification for the object and an uncertainty metric in the classification. The meta-model receives the classifications and uncertainty metrics from the one or more layer level classification models and generates the final classification and confidence in the final classification. The uncertainty metrics may also be output by the ML model or used to adjust the meta-model to improve the final classification and confidence.

Abstract: The invention relates to a mechanochemical process to produce exfoliated nanoparticles comprising the steps of providing a solid feedstock comprising a carbonaceous and/or mineral-based material; providing a flow of an oxidizing gas; introducing the solid feedstock and the flow of an oxidizing gas into a mechanical agitation unit, subjecting the material of the solid feedstock in the presence of the oxidizing gas to a mechanical agitation operation in the mechanical agitation unit at a pressure of at least 1 atm (15 psi). The invention further relates to nanoparticles obtainable by the mechanochemical process and to the use of such nanoparticles.