Abstract: An enzymatic electrochemical method for the quantification of analytes in isolated samples of biological fluids based on a dual biosensor strip electrochemical system. The sample is analyzed in parallel using first and second different biosensor test strips (blank and complete) and the results are obtained by subtracting a response obtained in the electrodes of the first biosensor test strip from a response obtained in the electrodes of the second biosensor test strip, thus eliminating the effect of interferences and isolating the signal corresponding only to the analyte determination.

Abstract: A method for providing recommendations to users includes obtaining stored data structure triples and actual ratings associated with the data structure triples; training a machine learning model using the stored data structure triples and associated actual ratings, wherein training the machine learning model includes generating user, product, and review representations based on the stored data structure triples and their associated ratings; predicting, by the machine learning model, ratings using the generated user, product, and review representations; and making recommendations based on the predicted ratings.

Abstract: The invention relates to a conversion system (100) with a DC side and an AC side, and to an associated control method. The system (100) comprises a primary conversion block (1), a secondary conversion block (2) and a transformer block (3) with at least one primary winding (3.1) connected to the primary conversion block (1) and a secondary winding (3.2R, 3.2S, 3.2T) for each phase (R, S, T) which are connected to the secondary conversion block (2). Each conversion block (1, 2) comprises a plurality of controllable switches, and the system (100) comprises a controller (4) communicated with said switches and configured for causing the opening and closing of said switches in a controlled and coordinated manner.

Abstract: A method preserves privacy in an HTTP communication between a client and a server. The method includes: intercepting an HTTP request that is sent from the client to the server; extracting a cookie from the HTTP request, the cookie including a cookie name and a cookie value; splitting the cookie value into information segments according to a split pattern; and modifying one or more of the information segments based on predefined modification rules. The split pattern for the cookie value is received from a cookie format analyzer. The cookie format analyzer selects the split pattern by: generating multiple lists of data formats based on the cookie name, and selecting one of the lists as the split pattern based on similarity and frequency features associated with the data formats.

Abstract: A method for determining an identity of a URL visited by a user from a vantage point in a network in which network traffic is encrypted includes determining a host to model, generating a list of URLs hosted by the host to model, repeatedly retrieving web resources referenced by the list of URLs hosted by the host to model and generating a network traffic signature upon each retrieval, generating a data feature for each of the generated network traffic signatures, and training, using the generated data features, a classifier corresponding to the host to model, wherein the classifier is configured to determine an identity of the visited URL from a signature of network traffic produced by the retrieval of a resource referenced by the visited URL.

Abstract: A method for preserving privacy in an HTTP communication between a client and a server includes: intercepting an HTTP request that is sent from the client to the server; extracting a cookie from the HTTP request, the cookie including a cookie name and a cookie value; splitting the cookie value into information segments; and modifying one or more of the information segments based on predefined modification rules.

Abstract: A method for assigning a server to provide a resource to a client in a distributed network includes receiving a request for the resource from the client. A network metric is measured at different points in the network. The network metric measurements are input to a deep learning model. Using the model, the network metric is predicted between the client and each of a plurality candidate servers which have the resource and have not had a prior connection with the client. One of the candidate servers is assigned to provide the resource to the client based on the predictions of the network metric.

Abstract: Power conversion systems and an associated control methods are disclosed. The system includes a plurality of converters connected in parallel on an AC side, each converter includes an AC side for being coupled to a power grid, a DC side for being coupled to a DC source, and a first terminal and a second terminal on said DC side. The outputs on the AC side of all the converters are connected to a common output point, the first terminals of the different converters of the system being grounded, and the second terminals of said converters being independent to one another. Each source is therefore adapted and configured to work independently of the rest of the sources.

Abstract: A method for synchronizing an identity of a user between a network observer and a third party includes: reading, by the network observer, a connection request sent from the user to the third party, the connection request including a host field having a host part corresponding to the third party and a sub-host part corresponding to identification information of the user; and associating, by the network observer in a database, the identification information of the user derived from the sub-host part with the identity of the user and an identity of the third party.

Abstract: A method for data inspection includes upon receiving an out-of-order part of a sequence of parts, checking the out-of-order part for matching in forward and backward direction of the sequence; temporarily saving a forward state and a backward state of said both checkings; and upon receiving an in-order part of the sequence, checking the in-order part for matching in the forward direction of the sequence and if the in-order packet is within a gap between the first part and the last part of the sequence the in-order part is also checked for matching in backward direction of the sequence. The backward state or the forward and backward state are updated or temporarily saved.

Abstract: The invention concerns a process and a facility for reducing the concentration of heavy polycyclic aromatic compounds (HPNA) in the recycle loop of hydrocracking units, which comprises a fractionation column. In accordance with this process, a portion of the stream present at the level of at least one plate located between the plate for supplying hydrocracked effluent and the plate for withdrawing the distillate fraction which is the heaviest is withdrawn from the fractionation column and at least a portion of said withdrawn stream is recycled to the column directly or after optional liquid separation, and optionally a portion of said withdrawn stream is recycled to the hydrocracking step directly or after optional gas separation.

Abstract: Technologies are generally described for methods and systems effective to determine a weight benefit associated with application of weights to training data in a machine learning environment. In an example, a device may determine a first function based on the training data, where the training data includes training inputs and training labels. The device may determine a second function based on weighted training data, which is based on application of weights to the training data. The device may determine a third function based on target data, where the target data is generated based on a target function. The target data may include target labels different from the training labels. The device may determine a fourth function based on weighted target data, which is a result of application of weights to the target data. The device may determine the weight benefit based on the first, second, third, and fourth functions.

Abstract: Technologies are generally described for methods and systems in a machine learning environment. In some examples, a method may include retrieving training data from a memory. The training data may include training inputs and training labels. The methods may further include determining a set of datasets based on the training inputs. The methods may further include determining a set of out of sample errors based on the training inputs and based on test data. Each out of sample error may correspond to a respective dataset in the set of datasets. The methods may further include generating alternative distribution data based on the set of out of sample errors. The alternative distribution data may be used to determine weights to be applied to the training data.

Abstract: The invention concerns a process and a facility for reducing the concentration of heavy polycyclic aromatic compounds (HPNA) in the recycle loop of hydrocracking units, which comprises a fractionation column. In accordance with this process, a portion of the stream present at the level of at least one plate (I) which is the supply plate or a plate located between the supply plate and the residue evacuation point, or if stripping gas is injected, between the supply plate and the stripping gas injection point, is withdrawn from the fractionation column. A portion, preferably all, of the withdrawn stream is recycled to the hydrocracking step directly or after optional separation of the gases. The residue is purged in its entirety.

Abstract: The invention concerns a process and a facility for reducing the concentration of heavy polycyclic aromatic compounds (HPNA) in the recycle loop of hydrocracking units, which comprises a fractionation column. In accordance with this process, a stream is withdrawn from the fractionation column at the level of at least one plate located between the supply plate and the plate for withdrawing the heaviest distillate fraction; the stream is stripped in an external stripping step by a stripping gas, in the presence of a portion of the residue. The separated gaseous effluent is recycled to the column, advantageously as a stripping gas, and the liquid fraction is recycled to the hydrocracking step; a residue is purged in the stripping step.

Abstract: A method for manufacturing long lasting phosphorescent fabrics and articles of clothing including fabric for use in fields such as security, domestic, sports, health, professional, etc., includes (i) preparing a composition for dyeing having a strontium aluminate pigment doped with europium and dysprosium; (ii) coating a starting fabric with the composition by air knife coating or cylinder; (iii) drying; and (iv) polymerizing. The fabrics thus obtained have long lasting phosphorescent properties and a high resistance to washing, maintaining the factory specifications of the starting fabric with respect to its mechanical properties, comfort, breathability and/or high visibility properties, if relevant.

Abstract: A method for preserving privacy in an HTTP communication between a client and a server includes: intercepting an HTTP request that is sent from the client to the server; extracting a cookie from the HTTP request, the cookie including a cookie name and a cookie value; splitting the cookie value into information segments; and modifying one or more of the information segments based on predefined modification rules.

Abstract: A method for assigning a server to provide a resource to a client in a distributed network includes receiving a request for the resource from the client. A network metric is measured at different points in the network. The network metric measurements are input to a deep learning model. Using the model, the network metric is predicted between the client and each of a plurality candidate servers which have the resource and have not had a prior connection with the client. One of the candidate servers is assigned to provide the resource to the client based on the predictions of the network metric.

Abstract: The object of the invention is to provide a power supply system and method for the various elements forming DC/AC electronic power converters that assures the operation of the converters during normal operating conditions and anomalous operating conditions, being specially designed for photovoltaic systems connected to the power grid and capable of providing direct current and alternating current voltages at the output thereof from at least one DC power source (1) and at least one AC power source (2), which basically comprises an output for DC loads (6) connected to the output of a DC/DC converter (3) the input of which is connected to the DC power source (1), an AC output for critical loads (7) connected to a first selector (5) configured for alternating between a first position where said AC output for critical loads (7) is connected to the output of a first DC/AC converter (4) the input of which is connected to the DC power source (1), and a second position where said AC output for critical loads (7) is co

Abstract: A method for providing recommendations to users includes obtaining stored data structure triples and actual ratings associated with the data structure triples; training a machine learning model using the stored data structure triples and associated actual ratings, wherein training the machine learning model includes generating user, product, and review representations based on the stored data structure triples and their associated ratings; predicting, by the machine learning model, ratings using the generated user, product, and review representations; and making recommendations based on the predicted ratings.