Borazine derivatives are used in the manufacture of electronic devices, in particular electroluminescent and semiconductor devices. More specifically, stable borazine derivatives include boron atoms substituted by aryl groups used in one or more layers of an electroluminescent or a semiconductor device, in particular in the emissive layer of organic light-emitting devices (OLED).

The invention relates to a method for preparing ring-halogenated N,N-dialkylbenzylamines and intermediates obtainable therefrom for preparing agrochemicals and pharmaceutically active ingredients.

An input combination of at least one condition value to be evaluated against at least one rule of a decision table is received. The at least one rule includes at least one condition and the rule is associated with a result. The at least one rule is evaluated against the input combination to determine conditions fulfilled for the at least one condition value. In one aspect, a rule from the at least one rule that best matches the input combination is determined and a result associated with the rule that best matches the input combination is outputted.

Systems and methods for generating a tuple of structured data files are described herein. In one example, a method includes detecting an expression that describes a structure of a structured image using a constructor. The method can also include using an inference-rule based search strategy to identify a hierarchical arrangement of bounding boxes in the structured image that match the expression. Furthermore, the method can include generating a first tuple of structured data files based on the identified hierarchical arrangement of bounding boxes in the structured image.

Processing metadata includes storing, in a data storage system, a specification for each of multiple sources, each specification including information identifying one or more data elements of the corresponding source; and processing, in a data processing system coupled to the data storage system, data elements from the sources, including generating a set of rules for each source based on a corresponding one of the stored specifications, and matching data elements of different sources and determining a quality metric characterizing a given match between a first data element of a first source and a second data element of a second source according to the set of rules generated for the first source and the set of rules generated for the second source.

An apparatus and method are disclosed for analysing a process. An exemplary method includes: generating a process template; and determining a probabilistic model specifying the process template. The method can include use of task nodes for tasks of the process; observables nodes for observables that may be caused by performance of the tasks; and a background activities node, wherein observables may further be caused by background activities of the background node. The method can include use of task nodes for tasks of the process; observables nodes for observables that may be caused by performance of the tasks; and a background activities node, observables may further be caused by background activities of the background node. The method can include measuring values of an observable corresponding to one of the observables nodes; and updating a probabilistic estimate of the process state using the measured values.

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.

Methods and arrangements for analyzing and responding to communications data. Telecom data are input, as are social network data. The telecom data and social network data are analyzed, and action tuples representing opportunistic leads are generated based on the analyzed telecom data and social network data.

A system and method for classifying unclassified samples. The method includes detecting a number of classes including training samples in training data sets. The method includes, for each class, determining a vector for each training sample based on a specified number of nearest neighbor distances between the training sample and neighbor training samples, and determining a class distribution based on the vectors. The method also includes detecting an unclassified sample in a data set and, for each class, determining a vector for the unclassified sample based on the specified number of nearest neighbor distances between the unclassified sample and nearest neighbor training samples within the class, and determining a probability that the unclassified sample is a member of the class based on the vector and the class distribution. The method further includes classifying the unclassified sample based on the probabilities.

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.

The current application is directed to monitoring subsystems, and monitoring methods incorporated within the monitoring subsystems, that monitor operation of devices and systems in order to identify normal states and to quickly determine when a device or system transitions from a normal state to an abnormal state. The methods and monitoring components to which the current application is directed employ self-organizing maps and moving-average self-organizing maps to both characterize normal system behavior and to identify transitions to abnormal system behaviors.

The present disclosure involves systems, software, and computer-implemented methods for providing process intelligence by correlating events from multiple business process systems to a single business scenario using configurable correlation strategies. An example method includes identifying a raw event associated with a sending business process and a receiving business process, identifying a sending business process attribute associated with the sending business process and a receiving business process attribute associated with the receiving business process, determining a correlation strategy for associating the raw event with a business scenario instance, the determination based at least in part on the sending business process attribute and the receiving business process attribute, and generating a visibility scenario event from the raw event according to the correlation strategy, the visibility scenario event associated with the business scenario instance.

Embodiments of the invention provide systems and methods for analyzing sequential data. The sequential data can comprise a sequence of data points arranged in a particular order and thus representing a sequence. A number of such sequences can be analyzed, for example, to identify patterns or commonalities within the sequences or portions of sequences represented by the data. According to one embodiment, a method of identifying patterns in sequences of data points can comprise reading a set of sequential data. The sequential data can comprises a plurality of sequences and each of the plurality of sequences can represent an ordered sequence of tokens. A dotplot representing matches between each sequence of the plurality sequences can be generated. One or more patterns within the sequential data can then be identified based on the dotplot.

A method for performing relational analysis of parsed input is employed to create a visual map of knowledge information. A title, header or subject line for an input item of information is parsed into syntactical components of at least a subject component and any predicate component(s) relationally linked as topic and subtopics. A search of topics and subtopics is carried out for each parsed component. If a match is found, then the parsed component is taken as a chosen topic/subtopic label. If no match is found, then the parsed component is formatted as a new entry in the knowledge map. A translation function for translating topics and subtopics from an original language into one or more target languages is enabled by user request or indicated user preference for display on a generated visual map of knowledge information.

In embodiments of the present invention improved capabilities are described for a computer program product embodied in a computer readable medium that, when executing on one or more computers, helps determine an unknown user's preferences through the use of internet based social interactive graphical representations on a computer facility by performing the steps of (1) ascertaining preferences of a plurality of users who are part of an internet based social interactive construct, wherein the plurality of users become a plurality of known users; (2) determining the internet based social interactive graphical representation for the plurality of known users; and (3) inferring the preferences of an unknown user present in the internet based social interactive graphical representation of the plurality of known users based on the interrelationships between the unknown user and the plurality of known users within the graphical representation.

A method of identifying one or more particular images from an image collection, includes indexing the image collection to provide image descriptors for each image in the image collection such that each image is described by one or more of the image descriptors; receiving a query from a user specifying at least one keyword for an image search; and using the keyword(s) to search a second collection of tagged images to identify co-occurrence keywords. The method further includes using the identified co-occurrence keywords to provide an expanded list of keywords; using the expanded list of keywords to search the image descriptors to identify a set of candidate images satisfying the keywords; grouping the set of candidate images according to at least one of the image descriptors, and selecting one or more representative images from each grouping; and displaying the representative images to the user.

A method, system and computer program product for generating answers to questions. In one embodiment, the method comprises receiving an input query, decomposing the input query into a plurality of different subqueries, and conducting a search in one or more data sources to identify at least one candidate answer to each of the subqueries. A ranking function is applied to each of the candidate answers to determine a ranking for each of these candidate answers; and for each of the subqueries, one of the candidate answers to the subquery is selected based on this ranking. A logical synthesis component is applied to synthesize a candidate answer for the input query from the selected the candidate answers to the subqueries. In one embodiment, the procedure applied by the logical synthesis component to synthesize the candidate answer for the input query is determined from the input query.

Various embodiments provide lossless compression of an enumeration space for genetic founder lines. In one embodiment, an input comprising a set of genetic founder lines and a maximum number of generations G is obtained. A set of genetic crossing templates of a height h is generated. A determination is made if at least a first genetic crossing template in the set of genetic crossing templates is redundant with respect to a second genetic crossing template in the set of genetic crossing templates. Based on the at least first genetic crossing template being redundant is redundant with respect to the second genetic crossing template, the at least first genetic crossing template is removed from the set of genetic crossing templates. This process of removing the at least first genetic crossing template from the set of genetic crossing templates the redundant creates an updated set of genetic crossing templates.

Methods and arrangements for conducting a search using query logs. A query log is consulted and query rewrite rules are learned automatically based on data in the query log. The learning includes obtaining click-through data present in the query log.

An apparatus for recognizing a representative user behavior includes a unit-data extracting unit configured to extract at least one unit data from sensor data, a feature-information extracting unit configured to extract feature information from each of the at least one unit data, a unit-behavior recognizing unit configured to recognize a respective unit behavior for each of the at least one unit data based on the feature information, and a representative-behavior recognizing unit configured to recognize at least one representative behavior based on the respective unit behavior recognized for each of the at least one unit data.

In one embodiment, a plurality of objects associated with a dataset and a specified number of nearest objects to be identified are received. The received objects are sorted in a structured format. Further, a key object and a number of adjacent objects corresponding to the key object are selected from the sorted plurality of objects, wherein the number of adjacent objects is selected based on the specified number of nearest objects to be identified. Furthermore, distances between the key object and the number of adjacent objects are determined to identify the specified number of nearest objects, wherein the distances are determined until the specified number of nearest objects is identified. Based on the determined distances, the specified number of nearest objects in the dataset is identified for data analysis.

An approach is provided for contextual content suggestion. A recommendation platform processes and/or facilitates a processing of contextual information associated with at least one device to determine one or more locations, one or more contextual parameter values, or a combination thereof. The recommendation platform also determines popularity data associated with one or more content items with respect to the one or more locations, the one or more contextual parameter values, or a combination. The popularity data is determined from one or more other devices sharing at least substantially the one or more locations, the one or more contextual parameter values, or a combination thereof. The recommendation platform then causes, at least in part, a recommendation of the one or more content items to the at least one device based, at least in part, on the popularity information.

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.

A computer implemented method of constructing formal definitions in intelligent glossaries for interpreting text, comprising the steps of: providing at least one Distinction having a Boundary, an Indication, a Counter-indication and a Frame; modeling each Distinction as a diagram to provide a Distinction Model; verifying each distinction model as being an instantiation of a generic Distinction Pattern; providing at least one Arrangement made of nonintersecting Marks of Distinction containing Indications from the verified Distinction Model; writing at least one Formulation for each Indication appearing in verified Distinction model and Arrangement, providing well-founded Indications; calculating precise Formulations in Natural Language from well-founded Indications by substituting Variables symbols and/or replacing Constants symbols to transform imprecise Formulations into precise Formulations; selecting a Definition type and embedding at least one precise Formulation and Definition type as a formal Definition in an Intelligent Glossary to provide computerized Semantic Systems of Intelligent Glossaries.

The disclosed embodiments describe a method, an apparatus, an application specific integrated circuit, and a server that provides a fast and efficient look up for data analysis. The apparatus and server may be configured to obtain data segments from a plurality of input devices. The data segments may be individual unique subsets of the entire data set obtained by a plurality input devices. A hash function may be applied to an aggregated set of the data segments. A result of the hash function may be stored in a data structure. A codebook may be generated from the hash function results.

The present invention relates to an improved process for fractionating triglyceride oil. The process according to the present invention attains a reproducible crystallization by introducing a controlled temperature profile and ensuing crystal development that reduce the amount of entrapped olein inside the crystals or crystal aggregates. The process of the present invention may be used to fractionate vegetable oils such as palm oil or its blends with other palm oil products or edible vegetable oils.

The invention relates to Fatty Acid Fumarate Derivatives; compositions comprising an effective amount of a Fatty Acid Fumarate Derivative; and methods for treating or preventing cancer, a metabolic disorder or neurodegenerative disorder comprising the administration of an effective amount of a Fatty Acid Fumarate Derivative.

A process for producing bio-oil from municipal solid waste, the process including: a) liquifying municipal solid waste, to obtain a mixture containing an oily phase containing bio-oil, a solid phase, and a first aqueous phase; b) treating the first aqueous phase from a) with an adsorbing material, to obtain a second aqueous phase; c) fermenting the second aqueous phase from b), to obtain a biomass; d) subjecting the biomass obtained in c) to the liquification a). The bio-oil obtained is advantageously used in the production of biofuels for motor vehicles or for the generation of electric energy or heat.

Provided herein are processes for preparing estolides and estolide base oils from fatty acid reactants utilizing catalysts. Further provided herein are processes for preparing carboxylic esters from at least one carboxylic acid reactant and at least one olefin.

A method of forming a product from an oil feedstock, such as a biodiesel product, and a heterogeneous catalyst system used to form said product is disclosed. This catalyst system, which has a high tolerance for the presence of water and free fatty acids (FFA) in the oil feedstock, may simultaneously catalyze both the esterification of FAA and the transesterification of triglycerides present in the oil feedstock. The catalyst system is comprised of a mixture of zinc oxide and a second metal oxide. The zinc oxide includes a mixture of amorphous zinc oxide and zinc oxide nanocrystals, the zinc nanocrystals having a mean grain size between about 20 and 80 nanometers with at least one of the nanocrystals including a mesopore having a diameter of about 5 to 15 nanometers. Preferably, the second metal oxide is a lanthanum oxide, the lanthanum oxide being selected as one from the group of La2CO5, LaOOH, and combinations or mixtures thereof.

Methods of separating renewable materials, such as lipids, from microorganisms, such as oleaginous yeasts, may include conditioning cell walls of the microorganisms to form, open or enlarge pores, and removing at least a portion of the renewable material through the pores. These methods may result in delipidated microorganisms with cell walls that are substantially intact and with mesopores. These delipidated microorganisms may be used to produce biofuels.

The present invention provides a use of a lipid composition for the preparation of a nutritional, pharmaceutical or nutraceutical composition or a functional food, for the prevention and treatment of gastrointestinal diseases and disorders, and for promoting intestinal development, maturation, adaptation and differentiation.

A method for producing fatty acid alkyl esters from biolipids through transesterification and/or esterification reactions uses a flow-through cavitation device for generating cavitation bubbles in a fluidic reaction medium. The fluidic medium is passed through sequential compartments in the cavitation device having varying diameters and inner surface features to create localized reductions in fluid pressure thus vaporizing volatile alcohols and creating an increased surface area and optimized conditions for the reaction to occur at the gas-liquid interface around the bubbles.

The invention relates to a process for making esters, in particular biodiesel, using heterogeneous catalysts. The invention provides a process for making biodiesel, in particular FAME, which process is versatile and robust. The process of the invention can be carried out continuously, in particular in a fixed bed reactor or a slurry reactor and may be operated in a continuous fashion. In accordance with the invention, the transesterification reaction of triglycerides is carried out using a heterogeneous catalyst that comprises a Group 4 silicate and less than 3 wt. % Na in the presence of at least one acid compound.

The invention relates to the use of a conjugated seed oil modified with an activated vinyl monomer via a Deils-Alder reaction to generate a modified reactive diluent used to enhance the physical properties of coating systems. In one embodiment, a reactive diluent containing tung oil modified by the addition of an acrylate monomer is mixed with an auto-oxidative alkyd, a metal drier package, and a wetting agent to achieve cross-linked films exhibiting improved tensile strength, tensile modulus, cross-link density, and glass transition temperature, among other physical parameters.

A process for producing C10-C26 monobranched fatty acids or alkyl esters thereof which includes isomerizing unsaturated C10-C26 fatty acids or alkyl esters thereof in the presence of a catalyst which comprises both a zeolite and a Lewis base. The zeolite can be reused after simple separation from the reaction products without having to regenerate. The process is particularly suitable for producing highly monobranched fatty acids or alkyl esters thereof.

The invention relates to polyglycol ether-free, polyglycerol partial ester-based sulphosuccinates, the preparation thereof, and the use of these in cosmetic formulations and also in cleaning compositions in the industrial and domestic sector and formulations comprising these sulphosuccinates.

The present invention provides bifunctional silica mesoporous materials, including mesoporous silica nanoparticles (“MSN”), having pores modified with diarylammonium triflate and perfluoroaryl moieties, that are useful for the acid-catalyzed esterification of organic acids with organic alcohols.

The invention relates to a continuous method for producing esters, in which at least one polyol ester of formula (I) (R1—COO)mR2 (I), where R1 represents hydrogen or an optionally substituted hydrocarbon group containing 1 to 50 carbon atoms, R2 represents an optionally substituted hydrocarbon group containing 2 to 10 carbon atoms, and m represents a number from 2 to 10 and is smaller than or equal to the number of carbon atoms in R2, is reacted with at least one monohydric alcohol of formula (II) R3—OH (II), where R3 represents an optionally substituted hydrocarbon group containing 1 to 30 C atoms, using microwave radiation in a reaction tube, the longitudinal axis of which extends in the direction of propagation of the microwaves of a single-mode microwave applicator, so as to obtain at least one ester of formula (III) R1—COO—R3 (III), where R1 and R3 have the meanings indicated above.

Methods are provided for refining natural oil feedstocks and producing dibasic esters and/or dibasic acids. The methods comprise reacting a terminal olefin with an internal olefin in the presence of a metathesis catalyst to form a dibasic ester and/or dibasic acid. In certain embodiments, the olefin esters are formed by reacting the feedstock in the presence of a metathesis catalyst under conditions sufficient to form a metathesized product comprising olefins and esters, separating the olefins from the esters in the metathesized product, and transesterifying the esters in the presence of an alcohol to form a transesterified product having olefin esters.

A method for preparing 13C labeled plasmalogens as represented by Formula B: The method involves producing a 13C labeled cyclic plasmalogen precursor of Formula A: and conversion of the precursor to a plasmalogen of Formula B.

A process for the production of bio-oil from solid urban waste, comprising the following steps: a) subjecting said solid urban waste to liquefaction, obtaining a mixture including an oily phase consisting of bio-oil, a solid phase and an aqueous phase; b) subjecting the aqueous phase obtained in the liquefaction step a) to fermentation, obtaining a fermented biomass; c) feeding the fermented biomass obtained in the fermentation step b) to the liquefaction step a). The bio-oil (or bio-crude) thus obtained can be advantageously used in the production of biofuels which can be used as such or mixed with other motor vehicle fuels. Alternatively, this bio-oil (or bio-crude) can be used as such (biocombustible) or mixed with fossil combustibles (combustible oil, coal, etc.) for the generation of electric energy or heat.

Described herein are dicarboxylate-capped estolide compound and methods of making the same. Exemplary dicarboxylate-capped estolide compounds include those of the formula x is, independently for each occurrence, an integer selected from 0 to 20; y is, independently for each occurrence, an integer selected from 0 to 20; W is, independently for each occurrence, selected from —CH2— and —CH═CH—; z is an integer selected from 1 to 40; n is an integer equal to or greater than 0; R5 is selected from hydrogen, optionally substituted alkyl that is saturated or unsaturated, and branched or unbranched, and an estolide residue; and R2 is selected from hydrogen and optionally substituted alkyl that is saturated or unsaturated, and branched or unbranched, wherein each fatty acid chain residue of said at least one compound is independently optionally substituted.

The invention relates to the use of a composition of A) at least one quaternary ammonia compound comprising at least one organic radical bonded to the ammonia nitrogen atom and optionally comprising heteroatoms and having 1 to 36 carbon atoms, and B) at least one amine alkoxylate ester of formula (1) or a salt thereof, where A, B are, independently of each other, a C2- through C5-alkylene radical R1, a C8- through C24-alkyl radical or alkenyl radical R2, R3, R4 independent of each other, H, or a C8- through C24-acyl radical, with the stipulation that at least one of the radicals R2, R3 or R4 stands for a C8- through C24-acyl radical, and x, y, z, independently of each other, stand for a whole number from 0 through 50, with the stipulation that x+y+z is a whole number from 1 through 100, in quantities of 10 through 5000 g/tonne of ore as a collector in silicate floation.

Novel compounds of formula (1) wherein: A is especially a linear or branched divalent alkylene radical having between 1 and 10 carbon atoms, and Y is especially a hydrogen atom.

This invention relates to an improved process for the preparation of green fatty acid methyl esters (FAME; commonly called as biodiesel) from different triglyceride oils using mixed metal oxides derived from layered double hydroxides (referred here as LDHs) as reusable solid heterogeneous base catalysts. This process uses very low alcohohoil molar ratio and catalyst and/or products are easily separable after the reaction through simple physical processes. The properties of thus obtained biodiesel meet the standard biodiesel values and can directly be used as transport fuel.

The invention generally relates to compositions and methods of their use. More specifically, the invention relates to the use of a compound in modulating erythropoiesis in a subject by mediating the activity and/or quantity of a member present in the LPA3-mediated signaling pathway, such as lysophosphatidic acid receptor subtype 3 (LPA3).

Provided herein are processes of preparing sulfonated estolide compounds, and the removal of sulfonate residues from those compounds to provide desulfonated estolide base oils. Exemplary sulfonated estolide compounds include those selected from the formula: wherein z is an integer selected from 0 to 15; q is an integer selected from 0 to 15; x is, independently for each occurrence, an integer selected from 0 to 20; y is, independently for each occurrence, an integer selected 0 to 20; n is equal to or greater than 0; R6 is selected from —OH, optionally substituted alkyl, and optionally substituted aryl; and R2 is selected from hydrogen and optionally substituted alkyl that is saturated or unsaturated, and branched or unbranched, wherein each fatty acid chain residue of said compounds is independently optionally substituted.

Disclosed is a process for reducing the amount of sterol in a sterol-containing microbial oil composition, including distilling, under short path distillation conditions, a sterol-containing microbial oil wherein said distillation produces a distillate fraction containing the sterol and a triacylglycerol-containing fraction having a reduced amount of the sterol when compared to the amount of sterol in the sterol-containing microbial oil composition that has not been subjected to short path distillation.

The present invention relates to processes and intermediates for preparing compounds useful as inhibitors of ATR kinase, such as aminopyrazine-isoxazole derivatives and related molecules. The present invention also relates to compounds useful as inhibitors of ATR protein kinase. The invention relates to pharmaceutically acceptable compositions comprising the compounds of this invention; methods of treating of various diseases, disorders, and conditions using the compounds of this invention; processes for preparing the compounds of this invention; intermediates for the preparation of the compounds of this invention; and solid forms of the compounds of this invention. The compounds of this invention have formula I or II: wherein the variables are as defined herein.