Abstract: A printing apparatus is disclosed. The printing apparatus comprises a rotating housing comprising a wall with an inner side defining a chamber and an outer side. The wall has a bore communicating the inner side and the outer side, and the chamber is to receive a fluid container. The printing apparatus also comprises a fix frame holding the rotating housing. The printing apparatus further comprises an optical sensor comprising an emitter to issue a detecting optical signal through the bore and a receiver to receive a detected optical signal associated to the detecting optical signal. The detected signal is sent to a controller to determine whether the fluid container is present in the rotating housing.

Abstract: Systems and methods to estimate a pore pressure of source rock include a pore pressure estimation processor, an executable, or both, and are operable to (i) calculate an estimate pore pressure based on overburden gradient data, a compaction velocity profile, hydrocarbon maturity, and an unloading velocity profile, (ii) determine a total organic content (TOC) estimate of the source rock based on a bulk density at a vertical depth measured using the density logging tool, (iii) determine a correction factor based on (a) the TOC estimate and (b) vitrinite ratio Ro data, and (iv) update the estimated pore pressure in real-time based on the correction factor.

Abstract: A process for producing butanol is provided, involving: A) mixing water, lactate, an enzyme mixture comprising at least one enzyme, at least one cofactor and at least one coenzyme, to prepare a reaction mixture; B) catalytically reacting the reaction mixture for an amount of time sufficient to cause conversion of lactate into butanol; and wherein the conversion of lactate into butanol in B) is associated with a regeneration system of NAD (P)+/NAD (P) H and/or acetyl-CoA/CoA.

Abstract: Systems/techniques for generating training data via reinforcement learning fault-injection are provided. A system can access a computing application. In various aspects, the system can train one or more machine learning models based on responses of the computing application to iterative fault-injections determined via reinforcement learning. More specifically, the system can: inject a first fault into the computing application; record a resultant dataset outputted by the computing application in response to the first fault; train the one or more machine learning models on the resultant dataset and the first fault; compute a reinforcement learning reward based on performance metrics of the one or more machine learning models and based on a quantity of the resultant dataset; update, via execution of a reinforcement learning algorithm, the fault-injection policy based on the reinforcement learning reward; and inject a second fault into the computing application, based on the updated fault-injection policy.

Abstract: A computer-implemented method is provided that includes learning causal relationships between two or more application micro-services, and applying the learned causal relationships to dynamically localize an application fault. First micro-service error log data corresponding to selectively injected errors is collected. A learned causal graph is generated based on the collected first micro-service error log data. Second micro-service error log data corresponding to a detected application and an ancestral matrix is built using the learned causal graph and the second micro-service error log data. The ancestral matrix is leveraged to identify the source of the error, and the micro-service associated with the identified error source is also subject to identification. A computer system and a computer program product are also provided.

Abstract: Systems and methods to estimate a pore pressure of source rock include a pore pressure estimation processor, an executable, or both, and are operable to (i) calculate an estimate pore pressure based on overburden gradient data, a compaction velocity profile, hydrocarbon maturity, and an unloading velocity profile, (ii) determine a total organic content (TOC) estimate of the source rock based on a bulk density at a vertical depth measured using the density logging tool, (iii) determine a correction factor based on (a) the TOC estimate and (b) vitrinite ratio Ro data, and (iv) update the estimated pore pressure in real-time based on the correction factor.

Abstract: A black box evaluator is accessed and a surrogate machine learning model that provides estimates for the optimization of categorical values for the black box evaluator is generated, the surrogate machine learning model being based upon observations from previous executions of the black box evaluator. The black box evaluator is optimized by selecting, by an acquisition function executing on a computing device, a new candidate point for the categorical values. The black box evaluator is executed with the new candidate point for the categorical values.

Abstract: Aspects of the present invention disclose a method, computer program product, and system for optimizing a result for a combinatorial optimization problem. The method includes one or more processors receiving a black-box model. The method further includes one or more processors learning a multilinear polynomial surrogate model employing an exponential weight update rule. The method further includes one or more processors optimizing the learnt multilinear polynomial surrogate model. The method further includes one or more processors applying the black-box model to the optimized solution found by the multilinear polynomial surrogate model. In an additional aspect, the method of learning an optimized multilinear polynomial surrogate model employing an exponential weight update rule further includes one or more processors calculating utilizing data from the black-box model, an update of the coefficients of the multilinear polynomial surrogate model.

Abstract: Techniques for animation are provided. A first trajectory for a first element in a first animation is determined. A first approximation is generated based on the first trajectory, and the first approximation is modified based on an updated state of the first element. The first trajectory is then refined based on the modified first approximation.

Abstract: A printing apparatus is disclosed. The printing apparatus comprises a rotating housing comprising a wall with an inner side defining a chamber and an outer side. The wall has a bore communicating the inner side and the outer side, and the chamber is to receive a fluid container. The printing apparatus also comprises a fix frame holding the rotating housing. The printing apparatus further comprises an optical sensor comprising an emitter to issue a detecting optical signal through the bore and a receiver to receive a detected optical signal associated to the detecting optical signal. The detected signal is sent to a controller to determine whether the fluid container is present in the rotating housing.

Abstract: A method, computer system, and computer program product are provided for processing an output of batch processed information. A document storage system receives the output of batch processed information from a number of company portals, websites, and online systems of organization. The document storage system separates the output into individual documents and individual forms. The document storage system indexes the individual documents and forms according to metadata. The metadata includes structural attributes extracted from the individual documents and forms, and company relevant parameters identified from business intelligence for the organization. The document storage system stores the individual documents and forms in association with the metadata. Responsive to storing the individual documents and forms, the document storage system generates an event message. The event message comprises information about the storing of the individual documents and forms.

Abstract: A process for producing butanol is provided, involving: A) mixing water, lactate, an enzyme mixture comprising at least one enzyme, at least one cofactor and at least one coenzyme, to prepare a reaction mixture; B) catalytically reacting the reaction mixture for an amount of time sufficient to cause conversion of lactate into butanol; and wherein the conversion of lactate into butanol in B) is associated with a regeneration system of NAD (P)+/NAD (P) H and/or acetyl-CoA/CoA.

Abstract: A method, computer system, and computer program product are provided for processing an output of batch processed information. A document storage system receives the output of batch processed information from a number of company portals, websites, and online systems of organization. The document storage system separates the output into individual documents and individual forms. The document storage system indexes the individual documents and forms according to metadata. The metadata includes structural attributes extracted from the individual documents and forms, and company relevant parameters identified from business intelligence for the organization. The document storage system stores the individual documents and forms in association with the metadata. Responsive to storing the individual documents and forms, the document storage system generates an event message. The event message comprises information about the storing of the individual documents and forms.

Abstract: Techniques for animation are provided. A first trajectory for a first element in a first animation is determined. A first approximation is generated based on the first trajectory, and the first approximation is modified based on an updated state of the first element.

Abstract: The present invention relates to a process of producing isobutanol, including: mixing water, lactate, an enzyme mixture including at least one enzyme, at least one cofactor, and at least one coenzyme, to prepare a reaction mixture; allowing catalytic conversions of lactate in the reaction mixture for a sufficient amount of time to produce isobutanol; and separating the isobutanol from a reactant obtained by the catalytic conversions, in which the conversion of lactate into isobutanol is in association with a NADH+/NADH and/or NADP+/NADPH regenerating system.

Abstract: A risk modeling system, method and program product. A query orchestrator interfaces with users posing high-level queries and expanding high-level queries into lower level queries. A queryable risk extractor applies lower level queries to available risk-related knowledge to extract potential risks, e.g., to petrochemical resource production in a selected locale. A semantic enrichment unit applies semantic enrichment to extracted potential risks and selectively annotates the enriched results. A risk model builder generates a graphical risk model for display on a display. Risk analyst can use the graphical risk model to augment risk-related intelligence.

Abstract: The present invention relates to a process of producing isobutanol, including: mixing water, lactate, an enzyme mixture including at least one enzyme, at least one cofactor, and at least one coenzyme, to prepare a reaction mixture; allowing catalytic conversions of lactate in the reaction mixture for a sufficient amount of time to produce isobutanol; and separating the isobutanol from a reactant obtained by the catalytic conversions, in which the conversion of lactate into isobutanol is in association with a NADH+/NADH and/or NADP+/NADPH regenerating system.

Abstract: Disclosed herein are methods of detecting viral nucleic acids in a sample that include contacting the sample with one or more sets of loop-mediated isothermal amplification (LAMP) primers specific for a viral nucleic acid of interest (such as hepatitis B virus, hepatitis C virus, hepatitis E virus, human immunodeficiency virus, West Nile virus, or Dengue virus nucleic acids) under conditions sufficient to produce an amplification product and detecting the amplification product(s). In some examples, the amplification product is detected by gel electrophoresis, while in other examples, the amplification product is detected by detecting signal from a label included in one or more of the LAMP primers. Primers and kits for use for detection of viral nucleic acids by LAMP are also disclosed herein.