Abstract: Temporal and spatially integrated forecast modeling includes generating a plurality of forecast models for a plurality of short-term to long-term time periods for a plurality of locations. Temporally integrating the plurality of forecast models sequentially over the plurality of time periods for the plurality of locations and spatially integrating the temporally integrated plurality of forecast models for each location hierarchically over the geographic areas. The forecast models are autoregressive distributed lag models with different explanatory variables for the short-term and long-term forecast models. The temporally integrating includes recursively integrating the plurality of forecast models over the time periods from the short-term to the long-term time periods and the spatially integrating includes recursively integrating the temporally integrated plurality of forecast models hierarchically from larger size geographic areas to smaller size geographic areas.

Abstract: A computing device includes a processor and a storage device. A wafer asset modeling module is stored in the storage device and is executed by the processor to configure the computing device to perform acts identifying and clustering a plurality of assets based on static properties of a wafer asset using a first module of the wafer asset modeling module. The clustered plurality of assets is determined based on dynamic properties of the wafer asset using a second module of the wafer asset modeling module. Event prediction is performed by converting a numeric data of the clustered plurality of assets to a natural language processing (NLP) domain by a third module of the wafer asset modeling module. One or more sequence-to-sequence methods are performed to predict a malfunction of a component of the wafer asset and/or an event based on past patterns. Prediction information is stored in the storage device.

Abstract: A method (1100) of fabricating a personalised orthopaedic cast (900) is disclosed. The method (1100) includes 3D scanning of a body part of a user, generating a Computer Aided Design (CAD) of an orthopaedic cast (900) for the scanned body part, and simulating real-life conditions to determine mechanical stability of the modelled cast. The mechanical stability is determined through Finite Element Analysis (FEA). The method (1100) includes determining whether the mechanical stability of the modelled cast is acceptable. The method (1100) includes finalising the CAD model when the mechanical stability of the modelled cast is found to be acceptable. The method (1100) includes 3D printing the finalised CAD model to fabricate the personalised orthopaedic cast (900).

Abstract: Methods and systems to provide a form of probabilistic labeling to associate an outage with a disturbance, which could itself be either known based on the available data or unknown. In the latter case, labeling is especially challenging, as it necessitates the discovery of the disturbance. One approach incorporates a statistical change-point analysis to time-series events that correspond to service tickets in the relevant geographic sub-regions. The method is calibrated to separate the regular periods from the environmental disturbance periods, under the assumption that disturbances significantly increase the rate of loss-causing events. To obtain the probability that a given loss-causing event is related to an environmental disturbance, the method leverages the difference between the rate of events expected in the absence of any disturbances (baseline) and the rate of actually observed events. In the analysis, the local disturbances are identified and estimators of their duration and magnitude are provided.

Abstract: Various methods and systems are provided for longitudinal presentation of patient information. In one example, a computing device comprises a display screen, the computing device being configured to display on the screen a timeline of patient medical information including a plurality of symbols representing the patient medical information, wherein a symbol of the plurality of symbols is selectable to launch a details panel and enable a report that references the displayed patient medical information to be seen within the timeline, and wherein the symbol is displayed while the details panel is in an un-launched state.

Abstract: Various methods and systems are provided for display of recommended treatment based on a patient's medical history and standardized guidelines. In one example, a computing system includes a display screen configured to display a patient medical path listing one or more of treatment guidelines and patient medical history, and to display abbreviated representations of at least one of the treatment guidelines and the patient medical history that can be reached directly from the displayed patient medical path. The abbreviated representations each display a limited list of data that is selectable to launch the treatment guidelines and/or the patient medical history and enable the selected data to be seen.

Abstract: Systems and methods in accordance with aspects of this disclosure may be provided to determine and calculate an overall driving risk index value corresponding to a driver and scene configuration. The overall driving risk index value may provide driving risk modeling and estimation at a personalized driving level. In some cases, the overall driving risk index value may be determined using a risk-predictive modeling system with weighting and machine learning and may include one or more of: a driver score system, a driver-contextual risk score system, and a conflict index system.

Abstract: A method for managing a boost time required for an application launch in an electronic device is provided. The method includes detecting, by the electronic device, a user input to launch the application. Further, the method includes measuring, by the electronic device, real-time system health parameters of the electronic device. Further, the method includes predicting, by the electronic device, an application launch time by inputting the real-time system health parameters to an AI-based application prediction model. Further, the method includes boosting, by the electronic device, at least one hardware of the electronic device based on the predicted application launch time.

Abstract: A method, a system, and a computer program product for generating name recommendations in a core data services computing environment. A dataset for training a name data model is received. The name data model is configured for determination of a recommendation for one or more names in a plurality of names associated with one or more artifacts in a plurality of artifacts of a database management system. The name data model is trained using the received dataset and applied to generate one or more names associated with the one or more artifacts.

Abstract: A concept associated with a feature used in machine learning model can be determined, the feature extracted from a first data source. A second data source containing the concept can be identified. An additional feature can be generated by performing a natural language processing on the second data source. The feature and the additional feature can be merged. A second machine learning model can be generated, which use the merged feature. A prediction result of the first machine learning model can be compared with a prediction result of the second machine learning model relative to ground truth data, to evaluate effective of the merged feature. Based on the evaluated effectiveness, the feature can be augmented with the merged feature in machine learning.

Abstract: The present disclosure relates to a method of obtaining a cell where fucosylation pathways are modified, leading to production of partially fucosylated and non-fucosylated protein products, specifically antibodies from the cell. The present disclosure employs the Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) technology. The method of the present disclosure targets the Fut8 gene and GMD gene in a cell. Such products are used in developing therapeutics and biomarkers, and in diagnosis and prognosis of diseases.

Abstract: The present disclosure relates to vectors for cloning and expressing genetic material including but not limiting to antibody gene or parts thereof and methods of generating said vectors. Said vectors express the antibody genes in different formats such as Fab or scFv as a part of intertransfer system, intratransfer system or direct cloning and expression in individual display systems. In particular, phage display technology is used to clone and screen potential antibody genes in phagemid which is followed by the transfer of said genes to yeast vector for further screening and identification of lead molecules against antigens. The present vectors have numerous advantages including uniquely designed inserts/expression cassettes resulting in efficient and smooth transfer of clonal population from phage to yeast vectors resulting in efficient library preparation and identification of lead molecules.

Abstract: In one example in accordance with the present disclosure, an electronic device is described. An example electronic device includes a processor and memory storing executable instructions that when executed cause the processor to import user feedback for a product from multiple websites. The instructions also cause the processor to combine the user feedback with product health data for the product. The instructions further cause the processor to run a machine-learning (ML) model to determine a rating for the product based on the combined user feedback and product health data. In some examples, the instructions also cause the processor to implement a chatbot to receive a user query and provide a product recommendation based on the user feedback and product rating.

Abstract: This specification describes methods of performing ECG analyses. In one approach, the system receives an ECG recording for a first duration, automatically performs a first analysis of the ECG recording for the first duration to detect events with reference to each of a plurality of arrhythmias, generates a GUI where areas within the GUI are designated for displaying detected events for each of the arrhythmias and enables a user to select at least one ECG segment of a second duration of the ECG recording. In response to the user's selection of the at least one ECG segment, the system presents the user with at least one option, and in response to the user's selection of the option, the system performs a second analysis of the ECG segment of the second duration and displays at least one output corresponding to the second analysis.

Abstract: This invention relates to kits including novel oral food challenge meal formulations. In particular, the invention also relates to kits including novel oral food challenge meal formulations, wherein the placebo dose formulation is indistinguishable from non-placebo dose formulations.

Abstract: Provided are methods for treating a disease, disorder, or condition associated with an acid ceramidase (AC) biological activity. The methods include administering to a subject in need thereof a composition including an AC inhibitor and at least one additional active agent, such as a C6-ceramide nanoliposome (CNL); an inhibitor of a Bcl-2 family protein; a hypomethylating agent; an intensive chemotherapeutic agent such as cytarabine (AraC) and/or daunorubicin; a Hedgehog pathway inhibitor; a targeted agent, such as a FLT2 inhibitor or a EDH1/2 inhibitor; and/or an antibody drug conjugate that targets, for example, CD-33. The composition can include N-[(2S,3R)-1,3-dihydroxyoctadecan-2-yl]2-chloroacetamide (SACLAC) or a pharmaceutically acceptable salt thereof and at least one additional active agent. The disease, disorder, or condition associated with the AC biological activity can be a cancer, such as acute myeloid leukemia (AML).

Abstract: Embodiments provide systems, methods, and non-transitory computer storage media for providing search result images based on associations of keywords and depth-levels of an image. In embodiments, depth-levels of an image are identified using depth-map information of the image to identify depth-segments of the image. The depth-segments are analyzed to determine keywords associated with each depth-segment based on objects, features, or content in each depth-segment. An image depth-level data structure is generated by matching keywords generated for the entire image with the keywords at each depth-level and assigning the depth-level to the keyword in the image depth-level data structure for the entire image. The image depth-level data structure may be queried for images that contain keywords and depth-level information that match the keywords and depth-level information specified in a search query.

Abstract: A system for treating cancer and evaluating chemo-preventive potential of PHC and its prepared chitosan nanoparticles is described. The rats are divided into eight groups, from which group 1 is served as normal control, and group 2-8 are given single dose of DEN and repeated dose of CCl4, wherein freshly prepared solution of DEN in normal saline is used for the induction of HCC in rats by administering 200 mg/kg, i.p., PHC (2:1:1) in normal saline suspension to administer at doses of 900 mg/kg, wherein serum and tissue samples are collected after anesthetizing overnight fasted rats using intraperitoneal administration of thiopentone sodium at a dose of 40 mg/kg, wherein the collected serum and tissue samples is treated and thereby the chemo-preventive potential of PHC (2:1:1) and its prepared chitosan nanoparticles is evaluated upon determining liver markers, antioxidant parameters, total bilirubin, protein, lipid peroxidation, and liver cancer biomarkers.

Abstract: Embodiments disclosed herein are directed to fixed compositions comprising brimonidine and timolol for lowering intraocular pressure and treating glaucoma.

Abstract: An actuator to execute on a server may be automatically selected based on risk of failure and damage to the server. Requirement specification and environment parameters may be received. A subset of actuators may be selected based on a risk threshold from an actuator catalog database storing actuator information and actuator risk metadata associated with a plurality of actuators. The actuator risk metadata may be augmented with risk information. A ranked list of the subset of actuators may be generated based on the actuator risk metadata associated with each actuator in the subset. An actuator in the ranked list may be executed on the server.