Abstract: There is a need for more effective and efficient predictive data analysis solutions and/or more effective and efficient solutions for generating an emotional sentiment score without the use of labelled data. In one example, embodiments comprise receiving an input text sequence, generating an intermediate emotional sentiment score object based at least in part on the input text sequence and by utilizing an emotional sentiment machine learning model, generating an overall emotional sentiment score based at least in part on the intermediate sentiment score object and by utilizing an emotional sentiment score transformation object, and performing one or more prediction-based actions based at least in part on the overall emotional sentiment score.

Abstract: According to various aspects, controller for an automated machine may include: a processor configured to: compare information about a function of the automated machine with information of a set of tasks available to a plurality of automated machines; negotiate, with the other automated machines of the plurality of automated machines and based on a result of the comparison, which task of the set of tasks is allocated to the automated machine.

Abstract: Techniques are provided that involve employing artificial intelligence (AI) to facilitate reducing adverse outcomes associated with healthcare delivery. In one embodiment, a computer implemented method comprises monitoring live feedback received over a course of care of a patient, wherein the live feedback comprises physiological information regarding a physiological state of the patient. The method further comprises employing AI to identify, based on the live feedback information, an event or condition associated with the course of care of the patient that warrants clinical attention or a clinical response. The method further comprises generating a response, based on the identification of the event or condition, that facilitates reducing an adverse outcome of the course of care, wherein the response varies based on a type of the event or condition, and providing the response to a device associated with an entity involved with treating the patient in association with the course of care.

Abstract: A system and method for technology currency monitoring of components in a computer system includes receiving data indicative of a value for each of a plurality of technology debt attributes and at least one strategic criticality attribute for each of the components; responsive to receipt of the values, calculating a technology currency score for each of the components based on (1) a sum of the values of each of the plurality of technology debt attributes, and (2) a sum of the values of the at least one strategic criticality attribute; and transmitting the calculated technology currency score for each of the components to one or more user devices.

Abstract: Described herein are nanoparticles comprising an LNP core with electrostatically adsorbed anionic polymers layered on the LNP surface. These nanoparticles comprise varying nucleic acid cargos and may further comprise targeting moieties covalently attached to the anionic polymers. Also provided are methods of administering cargo to a subject, methods of treatment, methods of editing a gene, and methods of reducing non-targeted cell uptake of nanoparticles.

Abstract: An enterprise platform may retrieve, from a collaboration data store, information about a selected enterprise team. The enterprise platform may then transmit, from a set of integration tools to a workflow tool of a remote cloud-based environment, a data payload including a notification request associated with a channel. The enterprise platform may also transmit, from a runtime environment to a business communication platform of the cloud-based environment, a request to post a notification to the channel and arrange for a member of the selected enterprise team to receive an adaptive information card, pushed by the business communication platform via the channel, containing information associated with at least one of the integration tools. The member who receives the adaptive information card may also, via selection of a graphical icon on the card, respond to the business communication platform via bi-directional communication.

Abstract: This disclosure relates to methods, systems and compositions for food coloring. Embodiments disclosed herein may include methods and systems for combining tea leaves and water to form a feed slurry; processing a feed slurry to at least partially remove a tea essence from the feed slurry, thereby obtaining a tea extract with a predetermined amount of one or more of an aroma or a flavor; and adjusting a color of the tea extract, thereby obtaining a coloring agent with a predetermined color-related feature, wherein the coloring agent is added in a predetermined amount to a food product to adjust a color of the food product. Embodiments may also including coloring compositions, which may include a dry tea extract, wherein an essence has been removed from the dry tea extract to a predetermined amount, and a color of the dry tea extract has been adjusted to have a predetermined color-related feature.

Abstract: A method for detecting a gene fusion includes amplifying a nucleic acid sample in the presence of primer pool to produce a plurality of amplicons. The primer pool includes primers targeting a plurality of exon-exon junctions of a driver gene. The amplicons correspond to the exon-exon junctions. The amplicons are sequenced and aligned to a reference sequence. The number of reads corresponding to each amplicon is normalized to give a normalized read count. A baseline correction is applied to the normalized read counts for the amplicons to form corrected read counts. A binary segmentation score is calculated for each corrected read count. A predicted breakpoint for the gene fusion is determined based on the amplicon index corresponding to the maximum absolute binary segmentation score. Gene fusion events may be detected in a partner agnostic manner, i.e. without prior knowledge of the specific fusion partner genes or specific breakpoint information.

Abstract: Disclosed embodiments provide techniques for monitoring and evaluating the effectiveness of key value pairs (KVPs) used in a document processing system. In embodiments, KVPs are obtained from multiple extractors of a document processing system. A score is computed for the KVPs by computing an effectiveness metric for each KVP from the multiple KVPs. In response to the computed score being below a predetermined threshold, a model retraining process is performed to generate a new set of KVP extractors, and provide the new set of KVPs to the document processing system.

Abstract: A catalyst stacked bed system with varying metal concentration for transalkylation and a method of transalkylation utilizing the catalyst are described. There is a first catalyst bed comprising a zeolite and a metal on top of a second catalyst bed comprising the same zeolite and metal in order to optimize performance benefits. The catalyst stacked bed system may comprise two or more catalyst beds. The first catalyst bed is positioned to contact the feed before the second (or subsequent) catalyst bed. The first catalyst bed has a total metal content of 1 wt % or more, and its total metal content is higher than the second catalyst bed. Each subsequent bed has a lower metal content than the previous bed. The metal for the first and second bed is selected from Groups 6-10 and 14 of the Periodic Table, or combinations thereof.

Abstract: The present invention relates to stable and low viscosity liquid pharmaceutical compositions comprising antibodies binding to human alpha synuclein and to methods for use of antibodies binding to human alpha synuclein for treating synucleinopathies or prodromal synucleinopathy, incl. suitable doses and/or dosing regimens. These antibodies for use in treatment of synucleinopathies or prodromal synucleinopathy may be formulated in the stable and low viscosity liquid pharmaceutical compositions of the invention.

Abstract: Embodiments of apparatuses, methods, and systems for virtualization of interprocessor interrupts are disclosed. In an embodiment, an apparatus includes a plurality of processor cores; an interrupt controller register; and logic to, in response to a write from a virtual machine to the interrupt controller register, record an interprocessor interrupt in a first data structure configured by a virtual machine monitor and send a notification of the interprocessor interrupt to at least one of the plurality of processor cores.

Abstract: A computer-implemented method, includes accessing, by a processor, a set of asset documents. The method also includes performing, by the processor, feature extraction on text of each document of the set of asset documents using a feature extraction module to generate a set of features, where each feature of the set of features represents a document of the set of asset documents. The method also includes generating, by the processor, a set of lower-dimensional features from the set of features using a singular value decomposition module. The method also includes generating, by the processor, a set of clusters from the set of lower-dimensional features using a clustering module. The method also includes training, by the processor, a machine-learning model of a classification microservice using the set of clusters generated from the clustering module.

Abstract: Methods, systems, and devices for wireless communications are described. A first device may receive signaling associated with a traffic class from a second device. The first device may determine that the traffic class is included in a set of known traffic classes based on a set of features associated with the signaling. In response to determining that the traffic class is included in the set of known traffic classes, the first device may use a machine learning model to obtain a prediction of an application associated with the signaling. The prediction may be based on the set of features. The machine learning model may be trained at the first device or the second device. The first device may receive information associated with the machine learning model from the second device.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to relocate a compute thread, the apparatus comprising control circuitry to maintain a location of a plurality of domain access counters associated with a plurality of compute-memory domains for a first compute thread, and an execution monitor to set a first domain access counter of the plurality of domain access counters, the first domain access counter associated with a first compute-memory domain of the compute-memory domains, and relocate the first compute thread to a second compute-memory domain of the compute-memory domains in response to a comparison between a second domain access counter associated with the second compute-memory domain and the first domain access counter.

Abstract: The present invention relates to an enzymatic process for preparation of optically pure enantiomers of homopropargylic alcohol compounds of formula I, which are useful intermediates for the synthesis of Halichondrin B and analogs. wherein, P is H or an alcohol protecting group, n is an integer ranging from 0-12.

Abstract: An access point includes a WiFi chipset, a first radio that is coupled to the WiFi chipset and that is selectively coupled to a first radiating element through one of a first filter or a second filter, and a second radio that is coupled between the WiFi chipset and a second radiating element.

Abstract: Identifying an indistinct entity within an image can include generating by an image filter multiple gradients, each of which corresponds to one of a plurality of pixels of an image captured by an imager. The image can be searched for a likely repeating pattern. Responsive to detecting, based on the multiple gradients, a likely repeating pattern within the image, data structures can be generated, the data structures comprising a set of probabilistically weighted feature vectors corresponding to the likely repeating pattern. A machine learning model can classify each of the set of probabilistically weighted feature vectors. An identity of the likely repeating pattern can be output, the identity based on the machine learning model classifications of the probabilistically weighted feature vectors.

Abstract: A system and method for monitoring and optimizing work assistant search engines implemented within secured enterprise computing systems include one or more processing devices to receive diagnostic data of a work assistant search engine from a secured enterprise computing system. The one or more processing devices may further determine, by analyzing the diagnostic data, a search quality metric value associated with the feature values and the scores. Responsive to determining that the search quality metric value differs from a target search quality metric value by a predetermined threshold value, the one or more processing devices may further determine an updated score model, and provide the updated score model to the secured enterprise computing system to update the work assistant search engine.

Abstract: Provided are water-soluble polymers that may include a water-soluble bipolymer, a water-soluble anionic terpolymer, and a water-soluble cationic terpolymer. The water-soluble polymers may include a reaction product of a first monomer that has a vinyl-containing group linked to a pendant carbohydrate moiety; a second monomer that has a vinyl group, a carbonyl group and a nitrogen; an anionic monomer in a water-soluble anionic terpolymer; and a cationic monomer in a water-soluble cationic terpolymer. Further provided are aqueous solutions that may include a water-soluble bipolymer, a water-soluble anionic terpolymer, and a water-soluble cationic terpolymer. Further provided are methods of use that may include introducing an aqueous solution into a formation such that the formation fractures, where the aqueous solution may include a water-soluble bipolymer, a water-soluble anionic terpolymer, and a water-soluble cationic terpolymer.