Abstract: The present invention relates to the use of proteins, enzymes and probiotics to create a wholistic system that prevents negative effects of protein indigestion on gut microbiota and improves diversity and count of gut microbiota, thereby promoting microflora balance. The invention, in one or more embodiments, increases the bioavailability of postbiotics that regulate health, including, skin health, stress, anxiety and depression, physical endurance, healthy aging, inflammation and cardiac health. The invention, in one or more embodiments, also increases the bioavailability of essential, non-essential and branched amino acids.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating customized recommendations for environmentally-conscious cloud computing frameworks for replacing computing resources of existing datacenters. One of the methods involves receiving, through a user interface presented on a display of a computing device, data regarding a user's existing datacenter deployment and the user's preferences for the new cloud computing framework, generating one or more recommendations for environmentally-conscious cloud computing frameworks based on the received data, and presenting such recommendations through the user interface for the user's review and consideration.

Abstract: A provenance method, system, and non-transitory computer readable medium for a plurality of eidetic systems having logs, include crawling the logs of each node of a plurality of nodes of the eidetic systems to cluster segments across the logs of temporally correlated events into clustered segments and analyzing the correlated segments to interleave an order of processes in the logs and assign a probability to the order of the processes occurring.

Abstract: Aspects of the invention described herein concern the incorporation of a FOXP3 cDNA (e.g., full-length human codon-optimized cDNA) into a FOXP3 gene or a non-FOXP3 locus so as to provide constitutive or regulated FOXP3 expression in a primary human CD34+ cells or cells derived from edited CD34+ cells. In some embodiments, guide RNA sequences that are directed to FOXP3, AAVS1, or other candidate loci are used for CRISPR/Cas9-mediated gene regulation, and gene delivery cassettes for HDR based gene-modification are provided.

Abstract: Electric vehicle battery monitoring systems and methods are disclosed herein. An example method includes displaying a state of charge for a battery of an electric vehicle on a display screen of the electric vehicle, determining a frequency of how often a user views the state of charge, inferring that the user has anxiety over a range for the electric vehicle based on the frequency, and presenting the user with options to extend the state of charge.

Abstract: A request to execute a workload that utilizes an amount of resources to be executed is received from a client device. Corresponding resources that are available at multiple non-uniform memory access (NUMA) nodes are received from one or more host systems. A particular NUMA node of the multiple NUMA nodes is identified in view of the particular NUMA node having available resources that are greater than the amount of resources to execute the workload. A scheduling hint is assigned to the workload that indicates that the particular NUMA node is to be used to execute the workload.

Abstract: A method for targeted advertisement includes transmitting a pre-filter to the user device, responsive to contextual information from a user device, to determine, using a processor, one or more inferences based on physical browsing information, collected at the user device, in compliance with one or more privacy policies of the user. The method also includes receiving one or more inferences determined by the pre-filter from the user device and transmitting one or more targeted advertisements to the user device based on one or more inferences.

Abstract: Methods for treating tumors by administering FLASH radiation and a therapeutic agent to a patient with cancer are disclosed. The methods provide the dual benefits of anti-tumor efficacy plus normal tissue protection when combining therapeutic agents with FLASH radiation to treat cancer patients. The methods described herein also allow for the classification of patients into groups for receiving optimized radiation treatment in combination with a therapeutic agent based on patient-specific biomarker signatures. Also provided are radiation treatment planning methods and systems incorporating FLASH radiation and therapeutic agents.

Abstract: The disclosure is directed to a document management system having a label management user interface. The document management system may be configured to display document content in either a document view mode or a document edit mode in which document content is displayed in a content panel of the graphical user interface. When in the document view mode and an authenticated user has edit permissions with respect to a current document, the graphical user interface is configured to display a label management user interface including an array of user-selectable label graphical objects and a list of recommended labels selected in accordance with a label score. The label score for each recommended label is determined with respect to the current document based on a set of multiple heuristics including proximity of the document with respect to other labeled documents in a hierarchical element tree.

Abstract: This application relates to apparatus and methods for automatically grouping the same or similar items provided by various suppliers that may use various supplier identification systems to identify the items to a retailer. In some examples, item update data identifying an attribute of an item is received and an anomaly is detected in a hierarchical structure of a database. The anomaly is detected by a machine learning model trained by a supervised training dataset based on attributes of items. A hierarchical association between the attribute of the item and the item in the database is generated when the detected anomaly includes a difference between a first hierarchical relationship defined in the item update data and a second hierarchical relationship defined for the item in the database. Item data including the hierarchical association is transmitted to update at least one marketplace.

Abstract: Event management system and method. Events comprise physical and logical attributes. Tuples are created to identify a set of logical attributes. The tuples are arranged in hierarchized relations by creating binarized co-occurrence matrices, each co-occurrence matrix reflecting different time intervals and indicate occurrence of tuples in time windows of the time intervals. Tuple pairs are analyzed to determine probabilistic score related to co-occurrence, and tuple families are created from tuple pairs based on the probabilistic score. From tuple families, events are used to extract tuple instances including physical attributes, which are arranged as tuple-instance families using the corresponding tuple families as reference.

Abstract: The invention provides compositions and methods for treating conditions associated with decreased activity of hydrogen sulfide.

Abstract: A system and method for target material retrieval and processing, the system comprising: an adaptor configured to interface with a capture region of a capture substrate for capturing particles in single-particle format within a set of wells, wherein the adaptor comprises a first region configured to interface with the capture region, a second region, and a cavity extending from the first region to the second region; and a support structure coupled to the adaptor and providing a set of operation modes for movement of the adaptor relative to the capture substrate. The system enables methods for magnetic and/or other force-based methods of retrieval of target material (e.g., derived from single cells).

Abstract: Described herein is a rotor blade assembly (100) and a method for generating a lift in a fluid installation. The rotor blade assembly includes an arcuate rotor blade (102) that is configured to be rotated about its axis Y. One or more motion transmitting members (106, 114, 116) are provided that connect the arcuate rotor blade with at least one power generating member (104) for transmitting torque from the arcuate rotor blade to the at least one power generating member (104). The fluid incident on the arcuate rotor blade is caused to flow over a first leading edge L1 of a rotor blade towards a central rib R of the rotor blade (102). This fluid flow is then caused to flow along the central rib R of the rotor blade towards a stem section of the rotor blade from where the fluid exits, thereby causing rotation of the rotor blade.

Abstract: According to various embodiments described herein, a microfluidics-chip based purification device and system for Sanger-sequencing reactions is provided. The device and system allow for the introduction into a sequencing system of a cartridge containing purification technologies specific to the sequencing contaminants or sequencing method where the simplified purification solution of a cartridge allows automation of the sample purification process, reduced consumption of purification reagents, and consistency in sampling by reducing the sampling errors and artifacts. These various embodiments therefore solve the need for a microfluidics-chip-based, Sanger-sequencing reaction purification system for CE devices. The microfluidic chips described can be used as a PCR chip by reorganizing the on-chip reagents, reaction wells and work flow steps.

Abstract: This disclosure provides a machine learning technique to predict a protein characteristic. A first training set is created that includes, for multiple proteins, a target feature, protein sequences, and other information about the proteins. A first machine learning model is trained and then used to identify which of the features are relevant as determined by feature importance or causal relationships to the target feature. A second training set is created with only the relevant features. Embeddings generated from the protein sequences are also added to the second training set. The second training set is used to train a second machine learning model. The first and second machine learning models may be any type of regressors. Once trained, the second machine learning model is used to predict a value for the target feature for an uncharacterized protein. The model of this disclosure provides 91% accuracy in predicting an ideal digestibility score.

Abstract: The present invention discloses a Double Metal Cyanide (DMC) catalyst(s) useful for the production of polyether polyols (PEPO) and a less energy intensive room temperature method for the synthesis thereof. The catalyst(s) comprises of a DMC complex, an organic complexing agent, i.e., ethylenediaminetetraacetic acid (EDTA) and other co-complexing organic agents, e.g., t-BuOH, PEPO of composition ranging from about 1 to 10 wt %, wherein the average molecular weight of PEPO used ranged from 200 to 1000. A method of preparing a series of DMC catalyst(s) at room temperature with varying compositional ratios of the complexing and co-complexing agents targeting a wide range of PEPO of varying kinematic viscosity range is also disclosed. These DMC catalyst(s) are amorphous, highly active, and easily separable from product PEPO with recyclability/recoverability, making the product PEPO better industrially applicable and DMC catalyst more cost-effective.

Abstract: This disclosure provides a data-driven and scalable method to discover cause-and-effect relationships in data from natural systems that include sparse data sets. This technique can learn a causal graph from heterogenous data sources by combining embeddings from real data and embeddings from simulated data generated by process-based models. The causal graph is used for what-if analysis in out-of-distribution settings. One application is understanding the factors that affect soil carbon. A causal model created by these techniques can be used to discover cause-and-effect relationships that affect soil carbon. This model has applications such as forecasting soil carbon for a future time point to help inform farm practices. Farm practices, like tilling, may be modified in response to predictions provided by the model.

Abstract: A computerized-method for authorizing time-off for a skill to increase agents digital availability is provided herein. The computerized-method includes receiving an agent skill-based time-off request having one or more skills and a duration from a User Interface (UI) in a computerized-device of an agent, and for each skill of the one or more skills in the agent skill-based time-off request: (a) operating an agent-skill-based time-off module to calculate au agent time-off eligibility-quotient.

Abstract: A method, computer program product, and computing system for processing a plurality of input/output (IO) operations on a plurality of storage objects of a storage system. The plurality of storage objects may be divided into a plurality of storage object groups based upon, at least in part, the plurality of IO operations processed on the plurality of storage objects. Each storage object group may be associated with an IO machine learning model selected from a plurality of IO machine learning models, thus defining a plurality of storage object group-specific IO machine learning models. IO performance data may be forecasted for the plurality of storage objects using the plurality of storage object group-specific IO machine learning models.