Abstract: A diagnostic circuit includes an input port configured to receive an input current and a first superconducting quantum interference device (SQUID) inductively coupled to the input port. The first SQUID is configured to generate a first output in the form of: a first voltage in response to the input current being less than a first threshold current and a second voltage in response to the input current being greater than the first threshold current. The diagnostic circuit also includes a second SQUID inductively coupled to the input port. The second SQUID is configured to generate a second output in the form of: a third voltage in response to the input current being less than a second threshold current and a fourth voltage in response to the input current being greater than the second threshold current.

Abstract: In one aspect, the invention relates to an immunogenic composition that includes a mutant Clostridium difficile toxin A and/or a mutant Clostridium difficile toxin B. The mutant toxin may include a glucosyltransferase domain having at least one mutation and a cysteine protease domain having at least one mutation, relative to the corresponding wild-type C. difficile toxin. The mutant toxins may include at least one amino acid that is chemically crosslinked. In another aspect, the invention relates to methods and compositions for use in culturing Clostridium difficile and in producing C. difficile toxins.

Abstract: An aqueous colored pigment-based ink that is capable of fluorescence, has a pigment colorant in an amount of 1-7 weight %; a non-polymeric fluorophore that when excited by fluorescence-exciting radiation having a peak of at least 200 nm and up to and including 400 nm, exhibits an emission peak of at least 400 nm and up to and including 750 nm, and which non-polymeric fluorophore is present in an amount of 0.1-2 weight %; and an aqueous medium comprising water. This aqueous colored pigment-based ink can be included in an ink set that also includes one or more aqueous colored pigment-based inks that are non-fluorescent. All of these inks can be applied for example using inkjet printing, onto non-UV fluorescent substrates to provide images that can be detected when excited as noted above, which images can be provided on articles such as security documents, currency, and lottery tickets.

Abstract: An aqueous colored pigment-based ink that is capable of fluorescence, has a pigment colorant in an amount of 1-7 weight %; a non-polymeric fluorophore that when excited by fluorescence-exciting radiation having a peak of at least 200 nm and up to and including 400 nm, exhibits an emission peak of at least 400 nm and up to and including 750 nm, and which non-polymeric fluorophore is present in an amount of 0.1-2 weight %; and an aqueous medium comprising water. This aqueous colored pigment-based ink can be included in an ink set that also includes one or more aqueous colored pigment-based inks that are non-fluorescent. All of these inks can be applied using continuous inkjet (CIJ) printing, onto non-UV fluorescent substrates to provide images that can be detected when excited as noted above, which images can be provided on articles such as security documents, currency, and lottery tickets.

Abstract: A fluorescent colored image can be detected in an image on an article. This fluorescent colored image is obtained from applying an aqueous colored pigment-based ink that is capable of fluorescence, onto a suitable non-UV fluorescent substrate. This aqueous colored pigment-based ink has 1-7 weight % of a pigment colorant; and 0.1-2 weight % of a non-polymeric fluorophore that when excited by fluorescence-exciting radiation having a peak of at least 200 nm and up to and including 400 nm, exhibits an emission peak of at least 400 nm and up to and including 750 nm. This aqueous colored pigment-based ink that is capable of fluorescence can be applied using inkjet printing, onto non-UV fluorescent substrates to provide images that can be detected when excited as noted above, which images can be provided on articles such as security documents, currency, and lottery tickets.

Abstract: An aqueous colored pigment-based ink that is capable of fluorescence, has a pigment colorant in an amount of 1-7 weight %; a non-polymeric fluorophore that when excited by fluorescence-exciting radiation having a peak of at least 200 nm and up to and including 400 nm, exhibits an emission peak of at least 400 nm and up to and including 750 nm, and which non-polymeric fluorophore is present in an amount of 0.1-2 weight %; and an aqueous medium comprising water. This aqueous colored pigment-based ink can be included in an ink set that also includes one or more aqueous colored pigment-based inks that are non-fluorescent. All of these inks can be inkjet printed on non-UV fluorescent substrates to provide images that can be detected when excited as noted above, which images can be provided on documents, lottery tickets, and other security papers.

Abstract: Techniques are provided for using context tags in named-entity recognition (NER) models. In one particular aspect, a method is provided that includes receiving an utterance, generating embeddings for words of the utterance, generating a regular expression and gazetteer feature vector for the utterance, generating a context tag distribution feature vector for the utterance, concatenating or interpolating the embeddings with the regular expression and gazetteer feature vector and the context tag distribution feature vector to generate a set of feature vectors, generating an encoded form of the utterance based on the set of feature vectors, generating log-probabilities based on the encoded form of the utterance, and identifying one or more constraints for the utterance.

Abstract: Techniques are disclosed herein for objective function optimization in target based hyperparameter tuning. In one aspect, a computer-implemented method is provided that includes initializing a machine learning algorithm with a set of hyperparameter values and obtaining a hyperparameter objective function that comprises a domain score for each domain that is calculated based on a number of instances within an evaluation dataset that are correctly or incorrectly predicted by the machine learning algorithm during a given trial. For each trial of a hyperparameter tuning process: training the machine learning algorithm to generate a machine learning model, running the machine learning model in different domains using the set of hyperparameter values, evaluating the machine learning model for each domain, and once the machine learning model has reached convergence, outputting at least one machine learning model.

Abstract: According to an aspect, an inflatable penile prosthesis includes a fluid reservoir configured to hold fluid, an inflatable member, and a pump assembly configured to transfer the fluid between the fluid reservoir and the inflatable member. The pump assembly includes a pump bulb, a valve body, a valve disposed within the valve body, a first fluid port configured to be fluidly coupled to the fluid reservoir, and a second fluid port configured to be fluidly coupled to the inflatable member. The valve is configured to move between an inflation position and a deflation position. The valve includes a first member and second member, the first member being configured to move with respect to the second member.

Abstract: A computing resource service provider receives a request from a customer to establish a physical connection between a provider network device and a customer network device in a colocation center. Once the connection has been established, the customer may transmit cryptographic authentication information, through the physical connection, to the provider network device. The provider network device transmits this information to an authentication service operated by the computing resource service provider to verify the authenticity of the information. If the information is authentic, the authentication service may re-configure the provider network device to allow the customer to access one or more services provided by the computing resource service provider. The authentication service may transmit cryptographic authentication information to the customer to verify the identity of the computing resource service provider.

Abstract: Techniques are disclosed herein for continuous hyperparameter tuning with automatic domain weight adjustment based on periodic performance checkpoints. In one aspect, a method is provided that includes initializing a machine learning algorithm with a set of hyperparameter values and obtaining a hyperparameter objective function that is defined at least in part on a plurality of domains of a search space that is associated with the machine learning algorithm. For each trial of a hyperparameter tuning process: running the machine learning algorithm in different domains using the set of hyperparameter values, periodically checking a performance of the machine learning algorithm in the different domains based on the hyperparameter objective function; and continuing hyperparameter tuning with a new set of hyperparameter values after automatically adjusting the domain weights according to a regression status of the different domains.

Abstract: An analyzer system for in vitro diagnostics includes a sample handler module having a robot arm that delivers samples from drawers into carriers on a linear synchronous motor automation track. Samples are delivered via the automation track to individual track sections associated with individual analyzer modules. Analyzer modules aspirate sample portions directly from the sample carriers and perform analysis thereon.

Abstract: A speaker can have a main body with a generally spheroidal shape, which can be supported standing on its end. The speaker can include a subwoofer that faces forward. A plurality of mid-range drivers can be distributed around the sub-woofer, facing generally forward and radially outward. A plurality of tweeters can be distributed around the sub-woofer, facing generally forward and generally outward. The outer housing portion of the speaker can be covered with a fabric material. A user interface ring 162 can be touch sensitive to receive input, and can have a plurality of lights that can be illuminated separately to convey information to the user.

Abstract: Techniques for automatically switching between chatbot skills in the same domain. In one particular aspect, a method is provided that includes receiving an utterance from a user within a chatbot session, where a current skill context is a first skill and a current group context is a first group, inputting the utterance into a candidate skills model for the first group, obtaining, using the candidate skills model, a ranking of skills within the first group, determining, based on the ranking of skills, a second skill is a highest ranked skill, changing the current skill context of the chatbot session to the second skill, inputting the utterance into a candidate flows model for the second skill, obtaining, using the candidate flows model, a ranking of intents within the second skill that match the utterance, and determining, based on the ranking of intents, an intent that is a highest ranked intent.

Abstract: Systems and methods capable for use in the development of high-speed, shape-transitioning, inward-turning inlets for air-breathing hypersonic vehicles, and inlets formed thereby. The systems and methods preferably provide for designing high-speed inlets for air-breathing hypersonic vehicles, wherein unique solutions are defined in each osculating plane of the inlet. Such systems and methods optionally provide an optimization process for tuning the post throat-shock Mach number of the inlet, and/or designs a shock-capture surface using a parallel-streamlines methodology, and/or a double cowl-lip geometry to allow flow to spill overboard.

Abstract: The present disclosure relates generally to determining intent based upon speech input using a dialog system. More particularly, techniques are described using matching-based machine learning techniques to identify an intent corresponding to speech input in a dialog system. These procedures do not require training when intents are added or removed from the set of possible intents.

Abstract: A bacterium of the class Clostridia comprising a heterologous nucleic acid molecule encoding at least one antigen, wherein the bacterium is capable of expressing the antigen in an intracellular compartment of the bacterium during anaerobic cell growth, and wherein at least one antigen is an infectious agent antigen or a tumour antigen.

Abstract: Techniques are disclosed herein for using named entity recognition to resolve entity expression while transforming natural language to a meaning representation language. In one aspect, a method includes accessing natural language text, predicting, by a first machine learning model, a class label for a token in the natural language text, predicting, by a second machine-learning model, operators for a meaning representation language and a value or value span for each attribute of the operators, in response to determining that the value or value span for a particular attribute matches the class label, converting a portion of the natural language text for the value or value span into a resolved format, and outputting syntax for the meaning representation language. The syntax comprises the operators with the portion of the natural language text for the value or value span in the resolved format.

Abstract: Techniques are disclosed herein for calibrating confidence scores of a machine learning model trained to translate natural language to a meaning representation language. The techniques include obtaining one or more raw beam scores generated from one or more beam levels of a decoder of a machine learning model trained to translate natural language to a logical form, where each of the one or more raw beam scores is a conditional probability of a sub-tree determined by a heuristic search algorithm of the decoder at one of the one or more beam levels, classifying, by a calibration model, a logical form output by the machine learning model as correct or incorrect based on the one or more raw beam scores, and providing the logical form with a confidence score that is determined based on the classifying of the logical form.

Abstract: A server device, system, method, and for controlling access to project resources is disclosed. The disclosure includes a processor, and a communications module and a memory coupled to the processor. The memory, when executed by the processor, causes the processor to generate a plurality of zones for a project, each zone defining a set of access rights to: i) a database; and ii) at least one tool. The processor configures each set of access rights to allow a proxy service to access the zones, and receives, from a client device and via the proxy service, an access query to access at least one zone. The processor provides the client device access to, via the proxy service, the at least one dataset and at least one tool of the at least one zone.