An interesting and frequent type of multi-word expression (MWE) is the headless MWE, for which there are no true internal syntactic dominance relations; examples include many named entities ("Wells Fargo") and dates ("July 5, 2020") as well as certain productive constructions ("blow for blow", "day after day"). Despite their special status and prevalence, current dependency-annotation schemes require treating such flat structures as if they had internal syntactic heads, and most current parsers handle them in the same fashion as headed constructions. Meanwhile, outside the context of parsing, taggers are typically used for identifying MWEs, but taggers might benefit from structural information. We empirically compare these two common strategies--parsing and tagging--for predicting flat MWEs. Additionally, we propose an efficient joint decoding algorithm that combines scores from both strategies. Experimental results on the MWE-Aware English Dependency Corpus and on six non-English dependency treebanks with frequent flat structures show that: (1) tagging is more accurate than parsing for identifying flat-structure MWEs, (2) our joint decoder reconciles the two different views and, for non-BERT features, leads to higher accuracies, and (3) most of the gains result from feature sharing between the parsers and taggers.

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Techniques for evaluation and/or retraining of a classification model built using labeled training data. In some aspects, a classification model having a first set of weights is retrained by using unlabeled input to reweight the labeled training data to have a second set of weights, and by retraining the classification model using the labeled training data weighted according to the second set of weights. In some aspects, a classification model is evaluated by building a similarity model that represents similarities between unlabeled input and the labeled training data and using the similarity model to evaluate the labeled training data to identify a subset of the plurality of items of labeled training data that is more similar to the unlabeled input than a remainder of the labeled training data.

A modeling framework for evaluating the impact of weather conditions on farming and harvest operations applies real-time, field-level weather data and forecasts of meteorological and climatological conditions together with user-provided and/or observed feedback of a present state of a harvest-related condition to agronomic models and to generate a plurality of harvest advisory outputs for precision agriculture. A harvest advisory model simulates and predicts the impacts of this weather information and user-provided and/or observed feedback in one or more physical, empirical, or artificial intelligence models of precision agriculture to analyze crops, plants, soils, and resulting agricultural commodities, and provides harvest advisory outputs to a diagnostic support tool for users to enhance farming and harvest decision-making, whether by providing pre-, post-, or in situ-harvest operations and crop analyzes.

To provide a latent variable model estimation apparatus capable of implementing the model selection at high speed even if the number of model candidates increases exponentially as the latent state number and the kind of the observation probability increase. A variational probability calculating unit 71 calculates a variational probability by maximizing a reference value that is defined as a lower bound of an approximation amount, in which Laplace approximation of a marginalized log likelihood function is performed with respect to an estimator for a complete variable. A model estimation unit 72 estimates an optimum latent variable model by estimating the kind and a parameter of the observation probability with respect to each latent state. A convergence determination unit 73 determines whether a reference value, which is used by the variational probability calculating unit 71 to calculate the variational probability, converges.

Embodiments are described for a system and method of providing a data miner that decouples the analytic flow solution components from the data source. An analytic-flow solution then couples with the target data source through a simple set of data source connector, table and transformation objects, to perform the requisite analytic flow function. As a result, the analytic-flow solution needs to be designed only once and can be re-used across multiple target data sources. The analytic flow can be modified and updated at one place and then deployed for use on various different target data sources.

The present invention relates to a cationic lipid having one or more biodegradable groups located in the mid- or distal section of a lipidic moiety (e.g., a hydrophobic chain) of the cationic lipid. These cationic lipids may be incorporated into a lipid particle for delivering an active agent, such as a nucleic acid. The invention also relates to lipid particles comprising a neutral lipid, a lipid capable of reducing aggregation, a cationic lipid of the present invention, and optionally, a sterol. The lipid particle may further include a therapeutic agent such as a nucleic acid.

The present disclosure relates to compositions and methods for producing nanoparticles to provide relatively more rapid delivery of such particles across the blood-brain barrier. The nanoparticles may be formed from bis-quaternary pyridinium-aldoxime salts that may also be of a specific polymorphic structure and which may be formed in either hydrophobic or hydrophilic type liquid media. In addition, the nanoparticle for transport across the blood-brain barrier may comprise a polymeric resin encapsulating a bis-quaternary pyridinium-2-aldoxime salt.

The instant invention provides for novel cationic lipids that can be used in combination with other lipid components such as cholesterol and PEG-lipids to form lipid nanoparticles with oligonucleotides. It is an object of the instant invention to provide a cationic lipid scaffold that demonstrates enhanced efficacy along with lower liver toxicity as a result of lower lipid levels in the liver. The present invention employs low molecular weight cationic lipids with one short lipid chain to enhance the efficiency and tolerability of in vivo delivery of siRNA.

A method of frequency-domain filtering is provided that includes a plurality of filters, the plurality of filters including at least one constrained filter(s) W=I, I and at least one unconstrained filter(s) W=1,K− The method includes cascading the W k=i,K unconstrained filter(s). A single constraint window C is applied to the cascaded W=i,K unconstrained filter(s). The W=1,I constrained filter(s) are cascaded with the constrained cascaded Wk=1,K unconstrained filter(s) to form a resulting filter Wll=C(W 1{circle around (x)} . . . {circle around (x)} W){circle around (x)} W . . . W. The frequency domain representation of the single constraint window C may be based, at least in part, on a time domain representation of a single constraint window C that has been circularly shifted such that the frequency domain representation of the constraint window matches a property of the frequency domain representation of the cascaded W=1,K unconstrained filters.

An aqueous delivery system is described including at least one surfactant and at least one water insoluble wetting agent. Further described are low surface energy substrates, such as microporous polytetrafluoroethylene, coated with such an aqueous solution so as to impart a change in at least one surface characteristic compared to the surface characteristics of the uncoated low surface energy substrate.

A method of extending advanced process control (APC) models includes constructing an APC model table including APC model parameters of a plurality of products and a plurality of work stations. The APC model table includes empty cells and cells filled with existing APC model parameters. Average APC model parameters of the existing APC model parameters are calculated, and filled into the empty cells as initial values. An iterative calculation is performed to update the empty cells with updated values.

A microprocessor capable of running both x86 instruction set architecture (ISA) machine language programs and Advanced RISC Machines (ARM) ISA machine language programs. The microprocessor includes a mode indicator that indicates whether the microprocessor is currently fetching instructions of an x86 ISA or ARM ISA machine language program. The microprocessor also includes a plurality of model-specific registers (MSRs) that control aspects of the operation of the microprocessor. When the mode indicator indicates the microprocessor is currently fetching x86 ISA machine language program instructions, each of the plurality of MSRs is accessible via an x86 ISA RDMSR/WRMSR instruction that specifies an address of the MSR. When the mode indicator indicates the microprocessor is currently fetching ARM ISA machine language program instructions, each of the plurality of MSRs is accessible via an ARM ISA MRRC/MCRR instruction that specifies the address of the MSR.

Disclosed is a novel computer implemented system, on demand service, computer program product and a method that leverages combined concrete and symbolic execution and several fault-localization techniques to automatically detects failures and localizes faults in PHP Hypertext Preprocessor (“PHP”) Web applications.

A substrate such as a fabric may be provided with a fragrance during washing or rinsing process by the addition to the wash water of a free-flowing solid fragrance-providing composition that comprises a fragrance deposited on a particulate carrier along with a water soluble salt of an alkali metal or an alkaline earth metal.

Long-lasting fragrance delivery systems and uses of the systems to provide fragrance-emitting articles with a long-lasting fragrance are disclosed herein. The long-lasting fragrance delivery systems include an emulsion of silicone-based polyurethane, fragrance, and a carrier.

This disclosure relates generally to systems and methods for simulating physical active semiconductor components using in silico active semiconductor components. To simulate charge degradation effect(s) in a circuit simulation, a simulated defect signal level is produced. More specifically, the simulated defect signal level simulates at least one charge degradation effect in the in silico active semiconductor component as a function of simulation time and a simulated input signal level of a simulated input signal. As such, the charge degradation effect(s) are simulated externally with respect to the in silico active semiconductor component. In this manner, the in silico active semiconductor component does not need to be reprogrammed in order to simulate charge degradation effects.

Disclosed are methods, systems, and articles of manufactures for implementing physical designs by using multiple force models to iteratively morph a layout decomposition. In addition to attractive force model(s) or repulsive force model(s), the physical implementation also uses a containment force model for grouping multiple design blocks or for confining a node of a cell within the boundary of a container. Another aspect is directed at deriving a first force model at the first hierarchical level from a second force model at the second hierarchical level by directly modifying the second model based at least in part on characteristic(s) of the first hierarchical level and of the second hierarchical level. In a design with multiple hierarchies, a cell-based force model is also used to ensure child nodes of a parent cell stay within a close proximity of the parent node of the parent cell.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for speech recognition. One of the methods includes receiving a base language model for speech recognition including a first word sequence having a base probability value; receiving a voice search query associated with a query context; determining that a customized language model is to be used when the query context satisfies one or more criteria associated with the customized language model; obtaining the customized language model, the customized language model including the first word sequence having an adjusted probability value being the base probability value adjusted according to the query context; and converting the voice search query to a text search query based on one or more probabilities, each of the probabilities corresponding to a word sequence in a group of one or more word sequences, the group including the first word sequence having the adjusted probability value.

This device 301 stores a first content-specific language model representing a probability that a specific word appears in a word sequence representing a first content, and a second content-specific language model representing a probability that the specific word appears in a word sequence representing a second content. Based on a first probability parameter representing a probability that a content represented by a target word sequence included in a speech recognition hypothesis generated by a speech recognition process of recognizing a word sequence corresponding to a speech, a second probability parameter representing a probability that the content represented by the target word sequence is a second content, the first content-specific language model and the second content-specific language model, the device creates a language model representing a probability that the specific word appears in a word sequence corresponding to a part corresponding to the target word sequence of the speech.

A speech recognition method including the steps of receiving a speech input from a known speaker of a sequence of observations and determining the likelihood of a sequence of words arising from the sequence of observations using an acoustic model. The acoustic model has a plurality of model parameters describing probability distributions which relate a word or part thereof to an observation and has been trained using first training data and adapted using second training data to said speaker. The speech recognition method also determines the likelihood of a sequence of observations occurring in a given language using a language model and combines the likelihoods determined by the acoustic model and the language model and outputs a sequence of words identified from said speech input signal. The acoustic model is context based for the speaker, the context based information being contained in the model using a plurality of decision trees and the structure of the decision trees is based on second training data.

An approach is disclosed that facilitates context delivery during communication sessions. The approach may be implemented in a computer infrastructure having computer executable code tangibly embodied on a computer readable storage medium having programming instructions operable to: render at least one service to a user device through a communication session; collect information of the communication session; and send the information of the communication session to a service provider when a call is setup between the user device and the service provider. The service provider renders the information of the communication session for viewing by the service provider.

When a speech sound of at least a predetermined sound pressure is externally input while a time measurement is not being performed, a time measuring circuit starts a time measurement responsive to a signal from a speech detector. When another speech sound of at least a predetermined sound pressure is externally input while a time measurement is being performed by the time measuring circuit, a measurement time measured by the time measuring circuit at this moment is stored in a time information memory. After a predetermined time has elapsed, if a speech recognition circuit recognizes that the externally input speech sound is a "stop" command, the time measurement operation performed by the time measuring circuit is stopped, and the time information stored in the time information memory is read out and displayed as measurement time information on a display unit.

A network is described for providing estimates of the current time. The network includes multiple computer systems each configured to provide an estimate of the current time in response to a received request. The computer systems are logically arranged to form a hierarchical structure, wherein the hierarchical structure includes multiple levels ranked with respect to one another. Each of the computer systems is assigned one of multiple levels of trust, and occupies one of the levels of the hierarchical structure dependent upon the assigned level of trust. The level of trust assigned to a given computer system is dependent upon a timekeeping dependability of the given computer system. The assigned level of trust may also be dependent upon a timekeeping security of the given computer system, where the timekeeping security is dependent upon a tamper resistance of the time clock of the given computer system. Methods for delegating a level of trust to a new computer system (i.e., a computer system not part of the network) and for adding a new computer system to the network are also described.

A system, method, and device includes a platform data storage that stores a wrap that secures an executable controller and executable sensors. The wrap is verified, optionally through a downloaded authentication driver. After verifying the wrap, the wrap is opened and a sister of the executable controller is installed into the platform memory to cooperate with the executable controller. Additionally or alternatively, the authentication driver may cooperate with the executable controller. The executable controller allows the platform processor to access data secured in a vault and/or verify the platform to create a connection to a connection server.

Systems and methods are disclosed for evaluating cardiovascular treatment options for a patient. One method includes creating a three-dimensional model representing a portion of the patient's heart based on patient-specific data regarding a geometry of the patient's heart or vasculature; and for a plurality of treatment options for the patient's heart or vasculature, modifying at least one of the three-dimensional model and a reduced order model based on the three-dimensional model. The method also includes determining, for each of the plurality of treatment options, a value of a blood flow characteristic, by solving at least one of the modified three-dimensional model and the modified reduced order model; and identifying one of the plurality of treatment options that solves a function of at least one of: the determined blood flow characteristics of the patient's heart or vasculature, and one or more costs of each of the plurality of treatment options.

The instant invention provides for novel cationic lipids that can be used in combination with other lipid components such as cholesterol and PEG-lipids to form lipid nanoparticles with oligonucleotides. It is an object of the instant invention to provide a cationic lipid scaffold that demonstrates enhanced efficacy along with lower liver toxicity as a result of lower lipid levels in the liver. The present invention employs low molecular weight cationic lipids comprising at least one short lipid chain to enhance the efficiency and tolerability of in vivo delivery of siRNA.

The present invention provides aryl ketone compounds and compositions containing them which facilitate the delivery of active agents. The aryl ketone compounds have the formula or a salt thereof, where n=1 to 9, and R1 to R5 are independently hydrogen, C1 to C4 alkyl, C1 to C4 alkoxy, C2 to C4 alkenyl, halogen, hydroxyl, —NH—C(O)—CH3, or —O—C6H5.

Provided are methods for the treatment of a rheumatic disease, such as rheumatoid arthritis, ankylosating spondylitis and/or polymyalgia rheumatic, by administering a delayed-release dosage form of a glucocorticoid to a subject in need thereof wherein the treatment is administered once daily for at least about two weeks. Also provided are methods for the treatment of osteoarthritis by administering a delayed-release dosage form of a glucocorticoid to a subject in need thereof wherein the treatment is administered once daily for at least about two weeks.

Disclosed herein are mesocapsules that include agriculturally active ingredients. These mesocapsules are comprised of a polyurea shell and include hydrophilic groups on their surfaces and have a volume-average diameter of about 500 nm or less and some of them have a volume-average diameter on the order of about 300 nm or less. These mesocapsules are suited for delivering active ingredients that are not very soluble in water. Methods for making these mesocapsules include interfacial polycondensation reactions carried out in the presence of surfactants and other methods in which all or most of the surfactant is replaced by adding amino acids to the aqueous phase of the interfacial reaction mixture before forming the final emulsion.

The present invention relates to a model based positioning system that includes a positioning device having at least one transmitter configured to be in a tracking environment, e.g. inserted into a body, a receiver having a plurality of receiver elements arranged outside the tracking environment, a control unit configured to measure amplitude and/or phase information of a signal transmitted from the at least one transmitter and received at each receiving element, and a memory unit M for storing a model for each receiving element. The control unit is also configured to estimate the position P of the positioning device by comparing the model for each receiving element with the measured received signal for each receiving element.

Methods, systems, and computer readable media for monitored application of mechanical force to samples using acoustic energy and mechanical parameter value extraction using mechanical response models can be used for determining mechanical property parameters of a sample. An exemplary method includes applying acoustic energy to a sample to apply a mechanical force to the sample, measuring a response by the sample during the application of the acoustic energy, measuring a recovery response of the sample following cessation of the application of the acoustic energy, and determining a value for at least one additional mechanical property parameter of the sample based on the response measured during application of the acoustic energy and the recovery response measured following cessation of the application of acoustic energy.

A lipoaspirate collection device to aid in the collection and processing of human tissue and fluid obtained during liposuction for use in point-of-care cell therapy. The collection device includes a collection body and a collection cap. The collection cap may have a fluid port, a lipoaspirate port, a vacuum port, and a relief valve. Within the central cavity of the collection device, a cone shaped may be positioned such that the apex of the cone is positioned underneath the lipoaspirate inlet through which the lipoaspirate fluid and tissue are introduced.

A method of modelling a hydrocarbon-containing reservoir which is representative of such reservoir in at least one physical characteristic such as reservoir porosity or permeability. Data, such as reservoir porosity is firstly determined. Such data is then transformed into printing instructions for a 3D printer. The 3D printer is used to print a reduced-scale model which is representative of the reservoir in respect of the at least one physical characteristic, such as reservoir porosity. A method of comparative testing of different hydrocarbon recovery techniques on a single hydrocarbon-containing reservoir is also disclosed and claimed.

The present invention aims to simulate a response more similar to a actual machine while inhibiting load increase in analog operation. Program configuration of the present invention is a component of a simulation program for circuit design, which is executed by a computer. The computer includes an operation portion, a storage portion, a manipulation portion, and a display portion, so that the computer exerts a function of a circuit design simulator, and as a macro model of an operational amplifier for use in the circuit design simulator, enabling the computer to act by simulating a response of the operational amplifier on the circuit design simulator. The macro model of the operational amplifier includes a control portion (LMT1) for generating output exception in the event of input exception or power supply exception of the operational amplifier.

The systems and methods of the present disclosure calibrate impedance loss model parameters associated with an electrosurgical system having no external cabling or having external cabling with a fixed or known reactance, and obtain accurate electrical measurements of a tissue site by compensating for impedance losses associated with the transmission line of an electrosurgical device using the calibrated impedance loss model parameters. A computer system stores voltage and current sensor data for a range of different test loads and calculates sensed impedance values for each test load. The computer system then predicts a phase value for each load using each respective load impedance value. The computer system back calculates impedance loss model parameters including a source impedance parameter and a leakage impedance parameter based upon the voltage and current sensor data, the predicted phase values, and the impedance values of the test loads.

A computer method of material modeling for crash test dummy finite element models includes the steps of making a material card for the material, applying the material card to validate a finite element model of a crash test dummy component, determining whether the finite element model is acceptable, ending the method if the finite element model is acceptable, and adjusting a relative volume (J) range for the material to make the material soft or stiff if the finite element model is not acceptable.

Methods for creating and using space-time surrogate models of subsurface regions, such as subsurface regions containing at least one hydrocarbon formation. The created surrogate models are explicit models that may be created from implicit models, such as computationally intensive full-physics models. The space-time surrogate models are parametric with respect to preselected variables, such as space, state, and/or design variables, while also indicating responsiveness of the preselected variables with respect to time. In some embodiments, the space-time surrogate model may be parametric with respect to preselected variables as well as to time. Methods for updating and evolving models of subsurface regions are also disclosed.

The embodiments relate to modeling resistance in a multi-fin multi-gate field effect transistor (MUGFET). In these embodiments, a design for a multi-fin MUGFET comprises a gate structure with a horizontal portion traversing multiple semiconductor fins and comprising a plurality of first resistive elements connected in series, with vertical portions adjacent to opposing sides of the semiconductor fins and comprising second resistive elements connected in parallel by the horizontal portion, and with contact(s) comprising third resistive element(s). The total gate resistance is determined based on resistance contributions from the first resistive elements, the second resistive elements and the third resistive element(s), particularly, where each resistive contribution is based on a resistance value of the resistive element, a first fraction of current from the semiconductor fins entering the resistive element and a second fraction of the current from the semiconductor fins exiting the resistive element.

A method of providing data included in a building information modeling (BIM) data file using a server is provided. The method includes retrieving mapping data corresponding to a user request, extracting data corresponding to at least one entity mapped to the mapping data from the BIM data file, and transmitting the extracted data to a client.

A method of managing content format conversion for transmission of converted content to a mobile device includes retrieving initial content, which includes video content, having a first format over a data communications network. The retrieved initial content is analyzed based on an identification of data delivery parameters relating to potential delivery of converted content and a determination is made as to whether or not the data delivery parameters meet predetermined criteria. The format of the initial content is converted to a second format only in response to a determination that the data delivery parameters meet the predetermined criteria. The converted content forms a message body of a message. A conversion management system configured to manage content format conversion for transmission of converted content to a mobile device, and a computer program for performing the method, are also provided.

A toolholder assembly includes a toolholder body having a coolant passage and a cutting insert seated within a recess of the body. The cutting insert includes an insert orifice extending between a top face and a bottom face that aligns with the coolant passage. A lock pin includes a lock pin orifice that aligns with and is in fluid communication with the coolant passage of the body. The lock pin orifice has an outlet port to allow the fluid to flow through the lock pin orifice and exit through the outlet port. A lock pin ring includes a coolant port in fluid communication with the outlet port of the lock pin to effectively discharge cooling fluid in the direction of a cutting area of the cutting insert.

Techniques are provided for increasing spectral efficiency over data channels in a storage or communication system. In some embodiments, data may be encoded and transmitted over multiple channels. The transmitted data from the multiple channels may be considered together as a channel bundle, thereby increasing the edge transitions of the group of signals to improve clock recovery and reduce coding constraints. In some embodiments, the channel bit size is reduced to maximize data rates based on the reduced coding constraints. Furthermore, the channel bundle has only one channel with timing markers, so that a receiver may receive information from the channel bundle and recover clocking based on the timing markers in the one channel.

The present invention relates to novel compositions of therapeutic cyclodextrin containing polymeric compounds designed as a carrier for small molecule therapeutics delivery and pharmaceutical compositions thereof. These cyclodextrin-containing polymers improve drug stability and solubility, and reduce toxicity of the small molecule therapeutic when used in vivo. Furthermore, by selecting from a variety of linker groups and targeting ligands the polymers present methods for controlled delivery of the therapeutic agents. The invention also relates to methods of treating subjects with the therapeutic compositions described herein. The invention further relates to methods for conducting pharmaceutical business comprising manufacturing, licensing, or distributing kits containing or relating to the polymeric compounds described herein.

The present invention relates to novel compositions of therapeutic cyclodextrin containing polymeric compounds designed as a carrier for small molecule therapeutics delivery and pharmaceutical compositions thereof. These cyclodextrin-containing polymers improve drug stability and solubility, and reduce toxicity of the small molecule therapeutic when used in vivo. Furthermore, by selecting from a variety of linker groups and targeting ligands the polymers present methods for controlled delivery of the therapeutic agents. The invention also relates to methods of treating subjects with the therapeutic compositions described herein. The invention further relates to methods for conducting pharmaceutical business comprising manufacturing, licensing, or distributing kits containing or relating to the polymeric compounds described herein.