Abstract: A method for testing a plurality of sensor devices, a panel and a sensor component are disclosed. In an embodiment a method includes providing the plurality of sensor devices, each sensor device including a sensor element configured to sense an ambient condition, a heating element to heat the sensor element, connection terminals for a supply voltage and at least one connection terminal for a sense signal indicative of a state of the sensor element, providing a panel including a plurality of groups of connection pads, the connection pads of each one of the groups configured to be connected to the connection terminals of one of the sensor devices, mounting the sensor devices to the groups of connection pads, applying a supply voltage to the sensor devices and concurrently heating the heating elements of the sensor devices to an elevated temperature and calibrating the sensor devices at least one after another.

Abstract: Provided is a method for sorting a number of samples into an appropriate number of clusters according to their characteristics. Highly-correlated peaks are extracted from mass spectrum data obtained for the samples (S2). Using the extracted peaks, highly-correlated sample pairs are extracted (S3). While removing samples having low degrees of correlation, highly-correlated sample pairs are integrated to form core clusters (S4). Using singular peaks characterizing each core cluster, two or more core clusters are integrated to form clusters (S5-S7). These clusters include mixed clusters in which two or more clusters are mixed. Member determination formulae are created based on the singular peaks of each cluster (S8-S12). All samples, including those which have been excluded from the cluster determination process, are classified into clusters based on the member determination formulae (S14). The member determination formulae can also be used to assign a new sample to one of the cluster.

Abstract: A blood analysis method includes: acquiring optical information which changes over time from a mixed liquid of a blood sample and a reagent for coagulation time measurement after mixing the blood sample and the reagent, and acquiring information related to a coagulation time and information related to a number of platelets in the blood sample based on the acquired optical information.

Abstract: Disclosed herein are systems and methods for providing a compressible interconnect for allowing electrical communication between an electronics unit and an analyte sensor in an on-body analyte monitoring device. In other embodiments, systems and methods are provided for reducing the Z-height of an on-body analyte monitoring device by utilizing novel interconnects.

Abstract: A specimen analyzer includes: an analysis unit which analyzes a specimen collected from a subject and generates an analysis result including a component amount in the specimen; an output unit which outputs the analysis result; and a controller which causes the output unit to output or not to output the component amount based on a comparison between the component amount and a determination reference value.

Abstract: An approach is provided for using a machine learning model to reduce food waste. Estimation models for food items are created by using a machine learning model. The estimation models have prediction functions specifying timelines during which the food items are not spoiled and are in a condition for consumption. Prediction function solutions are generated for a food item inventory to indicate menu items for respective time periods. Each menu item includes food item(s) which are in condition for consumption based on the estimation models. Menu recommendations corresponding to the time periods are generated. Each menu includes menu item(s) indicated by the prediction function solutions. The menu recommendations reduce a waste of the food items through spoilage by increasing a likelihood of consumption of the food items within the respective timelines.

Abstract: A method for designing new materials for superlubricity comprises developing, on a computational system, a computational supercell comprising x unit cells of a base material, each unit cell comprising y atoms of the base material. The computational system replaces randomly chosen z atoms of the base material with an impurity atom of an impurity material to form a candidate material. The computational system determines volumetric strain of the candidate material. In response to the volumetric strain exceeding a predetermined threshold, the computational system determines that the candidate material has superlubricity. The computational system displays the candidate material to a user if the candidate material has superlubricity.

Abstract: Provided are a learning data creation support apparatus, a learning data creation support method, and a learning data creation support program that create learning data required for learning without performing a complicated operation. Image-before-biopsy acquisition means acquires, as an image before biopsy, an image of a biopsy target part of a patient captured at a date and time within a predetermined range before an examination date and time of the biopsy. In a case in which a biopsy result indicated by biopsy data indicates a lesion, registration means registers a lesion candidate obtained by performing an image analysis process for the image before biopsy as correct answer data.

Abstract: An inspection apparatus includes a container, first and second detectors, and a controller. The container stores a specimen. The first detector detects a substance emitted by the specimen stored in the container. The second detector detects a different component than the substance in the atmosphere inside the container. The controller corrects the result of detection of the substance by the first detector on the basis of the component detected by the second detector and judges a quality of the specimen.

Abstract: The present disclosure belongs to the technical field of sensors, relates to a graphene resonant gas sensor, and in particular, to a graphene resonant gas sensor based on doped metal atoms and a preparation process therefor. In the present disclosure, the metal atoms are embedded in a graphene resonant beam, and a transition metal layer may use the doped metal atoms as anchor points to be tightly adsorbed to the surface of the graphene resonant beam, so that the quality of surface contact between the transition metal layer and the graphene resonant beam is improved, and the problems such as low quality and low sensitivity of conventional resonant gas sensors are effectively solved.

Abstract: An abnormality detection device includes a processor and a storage unit connected to the processor.

Abstract: A method and system for receiving, at a sampling location recommendation module, conventional and complementary information regarding a liquid distribution system, wherein the complementary information includes at least one of a social media post or a consumer report; processing the complementary information and a database of the liquid distribution system in the sampling location recommendation module, using computational and artificial intelligence algorithms, to generate a list of locations for sampling the liquid distribution system; displaying the list of locations; receiving a geo-tagged test record indicative of a sampled contaminant concentration value of at least one location of the list of locations; processing the geo-tagged test record, at a contamination source mapping module, to estimate a location and risk of a contamination source in the liquid distribution system; and displaying the estimated location and risk of the contamination source by modifying a map of the liquid distribution system.

Abstract: A device for estimating a mechanical property of a sample is disclosed herein. The device may include a chamber configured to hold the sample; a transmitter configured to transmit a plurality of waveforms, including at least one forcing waveform; and a transducer assembly operatively connected to the transmitter and configured to transform the transmit waveforms into ultrasound waveforms. The transducer assembly can also transmit and receive ultrasound waveforms into and out of the chamber, as well as transform at least two received ultrasound waveforms into received electrical waveforms.

Abstract: Aspects of the disclosure are directed to controller for an internal combustion engine. The controller can, in each combustion cycle that composes a change cycle, calculate an average of control amounts from a first combustion cycle to an nth (1<=n<=N) combustion cycle and calculate an error of the average with respect to an average of a reference normal population. Further, the controller can set both a positive threshold and a negative threshold based on a standard error of the reference normal population in the case where the number of data is n. Subsequently, the controller can change the operation amount to make the error approach the positive threshold or the negative threshold when the error exceeds neither the positive threshold nor the negative threshold at any combustion cycle.

Abstract: A wireless fire alarm notification system uses wireless repeater devices to annunciate an alarm to slave devices from the control panel. A notification device provides a local synchronization signal via wire to a secondary notification device. A method enables the activation or deactivation of child device without the child device having to query their parent repeater. A circuit to test the integrity of an active battery charger, a battery, and an isolation circuit is also shown. A method for qualifying that an RF signal meets a specified minimum acceptable level is described. A method for wirelessly sending events to avoid RF link overload is provided. A programming checksum method confirms that an annunciator has latest programming information. A method to automatically process messages from new devices without having to hardcode repeaters to support these new devices is also described.

Abstract: An apparatus and a method for determining blood sugar based on heterogeneous spectrums are provided. The blood sugar model generation apparatus includes a data obtainer configured to obtain blood sugar profile data of a user based on a first type spectrum-blood sugar profile relationship model, a second type spectrum measurer configured to measure training second type spectrum data for the skin of the user, and a processor configured to generate an individualized blood sugar model based on the obtained blood sugar profile data and the measured training second type spectrum data.

Abstract: At least one stable isotope reagent is added to each biological sample and standard sample to prepare biological samples for analysis and standard sample for analysis. The quality of the biological samples is evaluated using data of one set of biological samples for analysis composed of a plurality of biological samples for analysis. Besides, the quality of a pretreatment and/or analysis of each set of samples for analysis is evaluated using data obtained by analyzing the standard sample for analysis before and after an analysis of one set of samples for analysis. An abnormality in a chromatograph or mass analyzer used for the analysis of one set of samples is evaluated by the data obtained by analyzing a sample for device evaluation before and after the analysis of one set of samples for analysis. Thus, the quality of data obtained by chromatographic mass spectrometry on biological samples is comprehensively evaluated.

Abstract: A program creation apparatus includes a device information item acquisition unit that obtains data that vary in value in accordance with operating condition of a control program executed by an industrial controller, an operating condition display unit that displays the operating condition of the control program on the basis of the data, and a display format definition information item retaining unit that retains, for data obtained by the device information item acquisition unit, a display format definition information item used when the operating condition display unit displays the operating condition.

Abstract: A method for operating a laboratory system comprising instruments for processing samples and a control unit connected by a communication network is presented. The method comprises receiving and identifying a biological sample and retrieving an order list from a database. The list comprises a plurality of targets defining one or more processing steps to be carried out on the biological sample by one or more of the laboratory instruments. The method also comprises selecting a workflow strategy and retrieving workflow acceptance criterion corresponding to the workflow strategy. The control unit determines a sample workflow for processing the sample based on the workflow strategy and determines whether the sample workflow satisfies the workflow acceptance criterion. If the sample workflow does not satisfy the workflow acceptance criterion, workflow strategy and the workflow acceptance criterion is refined and the sample workflow is determined again until it satisfies the workflow acceptance criterion.

Abstract: A control device for automatic analysis including a unit which stores an analysis parameter file in which setting values of multiple setting items related to analytical equipment control are specified; a unit which describes at least identification information for the sample to be analyzed and the analytical parameters file to be used for analysis, for multiple analyses to be executed in the analysis device, and generates an analysis schedule table which describes setting values relating to one or more of the multiple setting items contained in the analytical parameters file for each analysis; and a control unit which controls the operation of the analytical equipment according to the analysis schedule table. The control unit is made such that the setting values specified in the analysis schedule table are applied preferentially for setting items for which the setting value is described in both the analytical parameter file and analysis schedule table.

Abstract: A flexible, body-mountable analyte sensing device includes a flexible substrate configured for mounting to skin of a living body. The sensing device additionally includes a sensor probe attached to the flexible substrate and configured to penetrate the skin such that a sensor disposed on the end of the sensor probe can be exposed to an analyte in interstitial fluid. The sensor could be an electrochemical sensor that includes two or more electrodes disposed at the end of the sensor probe and configured to electrochemically detect the analyte. The sensing device is configured to display detected concentrations or other information about the analyte in the interstitial fluid. The flexible substrate of the sensing device is configured to be adhered or otherwise mounted to the skin in a manner that minimally impacts activities of the living body.

Abstract: For the monitoring of an oil situated in a tank 19, it is provided that an oil measurement device 1 be equipped with a rigid or flexible probe 2 such that, by the use of a pump 5 integrated in the oil measurement device 1, oil can be delivered out of the tank 19 via an inlet opening 3 at the proximal end of the probe 2 into a measurement chamber 4, which is connected to the probe, of the oil measurement device 1. Here, the oil measurement device 1 has a measurement sensor for determining the quality of oil situated in the measurement chamber 4, and the pump 5, in conjunction with the probe 2, is configured such that oil can be returned from the measurement chamber 4 to the inlet opening 3 and thus to the tank 19.

Abstract: Example systems and methods to visualize and manage medical device operations and troubleshooting are provided. Interface information from a plurality of medical devices is used to generate a visualization of the interface information from the one or more of the plurality of medical devices. Each medical device interface is represented by a miniature representation of the interface in the visualization. Each miniature representation is to convey information shown on the interface of the medical device. The visualization is provided to a user via a user interface at a remote control computer. The user interface is to facilitate user selection of a miniature representation to trigger display of a larger representation of the selected medical device interface information via the user interface.

Abstract: Fragmented user engagement stacks are generated from users that use multiple devices to view messages. The fragmented user engagement stacks include a universal unique identifier (UUID). A computer platform stores cross-device mapping information, derived from a shared characteristic between two or more devices, that associates the UUIDs of multiple devices to a single user. The computer platform processes the cross-device mapping data to identify the UUIDs from different devices associated with a single user and to join touchpoint encounters from the single user to generate at least one cross-device user engagement stack. The computer platform uses the cross-device user engagement stack and the response data to determine attribution as a measure of influence attributed to touchpoint encounters from a single user.

Abstract: Predicting human olfactory perception based on molecular structure is described. Molecular descriptor data indicative of molecular descriptors associated with a group of molecular samples can be obtained. Olfactory perception indicator (OPI) data for a set of OPIs can also be obtained with respect to the molecular samples. A training model can be executed on the molecular descriptor data and the OPI data to yield an output model that correlates molecular attributes with OPIs for a single individual or across an aggregate of individuals. The output model can be used to predict olfactory perception for a particular compound or mixture based on which OPIs are correlated with molecular descriptors of the compound or mixture in the output model. The output model can also be inverted and used to identify molecular descriptors that are correlated with a desired set of OPIs. A molecular construct having the molecular descriptors can then be generated.

Abstract: A method and a system for analyzing a plurality of process factors affecting the trend of a continuous process are provided. The method includes the following steps: A plurality of similar time periods are selected from a time series. The trend of the continuous process in each of the similar time periods is similar to the trend of the continuous process in a current time period. A contribution of each of the process factors corresponding a monitoring target is analyzed according to the process factor values in the similar time periods and a plurality of monitor target values of the monitoring target. Part of the process factors are picked out according to the contributions.

Abstract: A system and a method for determining one or more distillation temperatures for one or more given distillation weight percentages of a crude oil sample are provided, which can be used to produce a simulated distillation curve. Simulated distillation temperatures of crude oil samples are assigned as a function of density and data derived from direct near infrared spectroscopy measurement of the crude oil samples.

Abstract: A method and system is provided for mass spectrometry for identification of a specific elemental formula for an unknown compound which includes but is not limited to a metabolite. The method includes calculating a natural abundance probability (NAP) of a given isotopologue for isotopes of non-labelling elements of an unknown compound. Molecular fragments for a subset of isotopes identified using the NAP are created and sorted into a requisite cache data structure to be subsequently searched. Peaks from raw spectrum data from mass spectrometry for an unknown compound. Sample-specific peaks of the unknown compound from various spectral artifacts in ultra-high resolution Fourier transform mass spectra are separated. A set of possible isotope-resolved molecular formula (IMF) are created by iteratively searching the molecular fragment caches and combining with additional isotopes and then statistically filtering the results based on NAP and mass-to-charge (m/2) matching probabilities.

Abstract: A method for estimating a chemical composition of hydrocarbons of interest includes: performing a measurement for each physical property of a plurality of physical properties of the hydrocarbons of interest using a sensor to provide a value for each different physical property being measured; and estimating the chemical composition of the hydrocarbons of interest by using a correlation prediction function for each chemical component in the chemical composition in terms of the different physical properties being measured.

Abstract: Provided are a method of and an apparatus for formulating a multicomponent drug capable of surely making a multicomponent drug meeting criteria for productization with high accuracy into a product. The method and apparatus obtain a chromatogram from an extract or a base of a multicomponent drug, evaluate whether the base meets the criteria for productization based on the obtained chromatogram with high accuracy, and subject the base determined in the high-accuracy evaluating as an accepted one meeting the criteria to dosage form processing, to produce a formulated drug having a given dosage-form. The high-accuracy evaluating is realized by selecting with high accuracy one of reference fingerprints to which peaks of a target fingerprint prepared from the chromatogram are assigned.

Abstract: A method for quantifying a glucose concentration is a method for quantifying a glucose concentration in which near-infrared light is emitted onto a living organism and a glucose concentration in a biological tissue is measured using a signal obtained by receiving diffusely reflected light or transmitted light from the biological tissue. A concentration calculation step calculates a concentration index of a glucose component by using at least a spectrum of a water component, a spectrum of a glucose component, and a spectrum of a fat component to synthesize a difference spectrum between a measurement spectrum at a time of measurement of a glucose concentration and a spectrum serving as a reference obtained previous to the measurement spectrum. A glucose concentration calculation step calculates a glucose concentration in the living organism using the calculated concentration index.

Abstract: A photodetector selection apparatus and method and a scattering coefficient measurement apparatus and method are provided. The photodetector selection apparatus for measuring a scattering coefficient may include: a light source configured to emit light to a subject; a photodetector array configured to detect the light that is reflected or scattered from the subject and measure a light intensity of the detected light; and a processor configured to select at least one photodetector from a plurality of photodetectors of the photodetector array, based on a change in the measured light intensity of each of the plurality of photodetectors according to a change in a scattering coefficient of the subject, and determine the scattering coefficient of the subject based on the light intensity that is measured by the selected at least one photodetector.

Abstract: Systems and methods of making a diagnostic test strip, the method including marking a machine-readable pattern onto the diagnostic test strip which contains information that allows a meter designed to work with the test strip to convert raw signal data from the diagnostic test strip into a meaningful concentration value for an analyte of interest. The method further includes printing the machine-readable pattern having a modified based code that is different from a base code of the diagnostic test strip being produced, wherein the modified based code is based on a strip geometry parameter, a chemistry parameter or both the strip geometry and chemistry parameters that are measured for the diagnostic test strip.

Abstract: The EM algorithm for a Gaussian mixture model is applied to the separation of peaks that overlap one another on a chromatogram. However, the number of overlapping components is unknown. Thus, a suitable number of models is set, and the fitting of model parameters is performed while an actually measured signal is appropriately divided for each model by the EM algorithm. Then, when a solution converges, a determination is made as to whether a peak-like waveform is present in a residue signal that is not divided. When the peak-like waveform is present, a peak model is added. The EM algorithm is executed again. In the M step, optimization is performed using, not only a simple Gaussian function, but also a modified Gaussian function assuming a tailing. In the M step, the estimation of a spectrum assuming a chromatogram and the estimation of a chromatogram assuming a spectrum are repeatedly performed.

Abstract: A system is provided to automatically monitor and control the operation of a microfluidic device using machine learning technology. The system receives images of a channel of a microfluidic device collected by a camera during operation of the microfluidic device. Upon receiving an image, the system applies a classifier to the image to classify the operation of the microfluidic device as normal, in which no adjustment to the operation is needed, or as abnormal, in which an adjustment to the operation is needed. When an image is classified as normal, the system may make no adjustment to the microfluidic device. If, however, an image is classified as abnormal, the system may output an indication that the operation is abnormal, output an indication of a needed adjustment, or control the microfluidic device to make the needed adjustment.

Abstract: A plasma processing apparatus, plasma processing method, and plasma processing analysis method in which a suitable combination of wavelength, time interval, and etching condition parameter for control to change etching conditions is determined among wavelengths, time intervals, and changeable parameters for spectroscopic measurement data in order to ensure stable etching conditions. Specifically, a regression equation which represents the correlation between emission intensity and etching result at a wavelength and a time interval is obtained for each of two or more combinations of wavelength, time interval, and etching condition parameter. Furthermore, for each of the combinations, the amount of change is calculated from the regression equation when the value set for the etching condition parameter is changed.

Abstract: An electronic sensing unit is used to receive an odorant sample and generate an electronic signature characterizing the sample received therein via a guiding unit that guides a first portion of the sample into an electronic sampling unit and a second portion of the sample towards an outlet. A control unit is used to receive data indicative of the signature generated by the sensing unit and data from user(s) indicative of olfactive descriptors characterizing the sample to which the users are exposed, thereby enabling creation of a data record including first and second characterizing data corresponding to the same sample. The database includes such data records, each being associated with a specific odorant sample, which may then be used to characterise, formulate, and/or create, a desired scent based on comparison of an electric signature generated for the scent and data records which signatures comply with some best compliance criterion.

Abstract: Techniques that facilitate matrix factorization associated with graphics processing units are provided. In one example, a system includes a first graphics processing unit, a second graphics processing unit and a central processing unit. The first graphics processing unit processes a first data block of a data matrix associated with a matrix factorization system to generate first information for the matrix factorization system. The second graphics processing unit processes a first portion of a second data block of the data matrix separate from a second portion of the second data block to generate second information for the matrix factorization system. The central processing unit processes a machine learning model for the matrix factorization system based on at least the first information provided by the first graphics processing unit and the second information provided by the second graphics processing unit.

Abstract: The present disclosure provides thermal interface materials that are useful in transferring heat from heat generating electronic devices, such as computer chips, to heat dissipating structures, such as heat spreaders and heat sinks. The thermal interface material also includes a coloring agent selected from the group consisting of: an iron based inorganic pigment; and an organic pigment.

Abstract: There is provided a blood coagulation system analyzer, including a measurement section and an analysis section. The measurement section measures a time change of impedance of a blood sample, which is obtainable by applying an alternating electric field to the blood sample. The analysis section extracts a parameter indicating the characteristics of the impedance from the measured data of the time change of the impedance. Furthermore, the analysis section analyzes a degree of enhancement of blood coagulation on the basis of a comparison of the extracted parameter with at least one reference value which defines the criteria of the enhancement of blood coagulation.

Abstract: The present invention discloses a data difference-driven self-learning dynamic batch process optimization method including the following steps: collect production process data off line; eliminate singular batches through PCA operation; construct time interval and index variance matrices to carry out PLS operation to generate initial optimization strategies; collect data of new batches; run a recursive algorithm; and update the optimization strategy. The present invention utilizes a perturbation method to establish initial optimization strategies for an optimized variable setting curve. On this basis, self-learning iterative updating is carried out for mean values and standard differences on the basis of differences in data statistics, so that the continuous improvement of optimized indexes is realized, and thereby a new method is provided for batch process optimization strategies for solving actual industrial problems.

Abstract: A method for robot interaction, preferably including: receiving a user input, determining a robot-associated response based on the user input, and presenting the robot-associated response. A system, preferably including: a robot, a conversation client, and a response module.

Abstract: A direct neural interface system comprises: a signal acquisition subsystem for acquiring electrophysiological signals representative of neuronal activity of a subject's brain; and a processing unit for representing electrophysiological signals acquired over an observation time window in the form of a N-way data tensor, N being greater than or equal to two, and generating command signals for a machine by applying a regression model over the data tensor; wherein the processing unit is configured or programmed for generating command signals for a machine by applying Generalized Linear regression, with a nonlinear link function, over the data tensor. A method of interfacing a subject's brain to a machine by using such a direct neural interface system is provided.

Abstract: The invention relates to a device for examining samples (1) in a liquid (5), comprising a movable shaft (2), to which the sample (1) is fastened, and a cuvette (4), wherein the device further comprises a bath (3), which surrounds the movable shaft (2), and wherein the bath (3) is fillable with the liquid (5), the movable shaft (2) is configured to receive the sample (1) at the upper side (24) thereof, the movable shaft (2) reaches into the cuvette (4) from below, wherein said cuvette is open at least toward the bottom and configured to be immersed into the liquid (5) in the bath (3) with the underside thereof, and, moreover, means are provided to generate a pressure difference between the interior of the cuvette (4) and the region outside of the cuvette (4) such that the fill level (21) of the liquid (5) in the cuvette (4) is adjustable. Moreover, the invention relates to a method for examining samples (1) in a liquid (5).

Abstract: A method and system for monitoring the quality of fluids, wherein comprising the different features of a fluid with at least two different methods are measured and a measure for the quality of the fluid is derived and/or a process of the fluid deterioration is identified by comparing the results of the measurements of the at least two different methods, where the methods includes at least one optical absorption measurement and at least one electron paramagnetic resonance measurement.

Abstract: A method includes decomposing a training set to obtain a principal component matrix having a plurality of principal component vectors. The method also includes variably rejecting portions of a sample spectrum vector that do not correspond to a selected one of the plurality of principal component vectors by incrementally providing a coefficient indicative of the weighting of the selected principal component vector for selected sub-regions. A corrected spectrum vector can be obtained by excluding certain sub-regions of the sample spectrum vector and corresponding principal component vector, multiplying the sample spectrum vector with the principal component matrix for non-excluded sub-regions, providing a predicted interference vector, and subtracting the predicted interference vector from the sample spectrum vector.

Abstract: The present disclosure generally relates to systems and methods for spectral demixing. An example technique includes obtaining empirical spectroscopic data representing a plurality of frequencies of electromagnetic energy that has interacted with a specimen, accessing a computer readable representation of a hierarchal spectral cluster tree representing a spectral library, demixing, with data on each of a plurality of levels of the hierarchal spectral cluster tree, foveated spectroscopic data derived from the empirical spectroscopic data, identifying at least one node in the hierarchal spectral cluster tree as corresponding to the empirical spectroscopic data, and outputting an endmember abundance assessment of the specimen corresponding to at least the at least one node.

Abstract: A measuring arrangement and a measuring device having a sensor device, a processing device, a storage device, an interface and a control device that allows for a simplified testing of the functionality of the measuring device is achieved in that the control device retrieves externally provided data via the interface and performs a test of the measuring device. The test thereby involves the control device determining a reference value from the externally provided data, comparing the reference value to a measured value generated by the processing device and generating a comparison result based thereupon. Alternatively, the test involves the control device using the externally provided data for the generation of new calculation data to be stored in the storage device and storing the new calculation data in the storage device.

Abstract: According to the invention for a deep-frying device (2) including a stationary deep-frying oil sensor (5) which immerses into deep-frying oil (4) of a deep-frying oil basin (3), in order to monitor the stationary deep-frying oil sensor (5), a receiving unit (17) having a receiving data interface (8) is provided, via which interface a reference value obtained beforehand by a portable deep-frying oil measuring device (14), the portable deep-frying oil sensor (15) of which is immersed into the deep-frying oil (4) in the deep-frying oil basin (3) for measuring, can be transmitted in order to adapt a characteristic curve stored in the stationary evaluation unit (6) of the deep-frying device (2) such that the stationary evaluation unit (6) calculates a value for an evaluation variable for characterizing the deep-frying oil (4), this value being consistent with the reference value of the portable deep-frying oil measuring device (14).

Abstract: The present invention provides deterioration analysis method which allows a detailed analysis of deterioration, especially deterioration of surface conditions, of a polymer material. The present invention relates to a deterioration analysis method, including irradiating a polymer material with high intensity X-rays, and measuring X-ray absorption while varying the energy of the X-rays, to analyze deterioration of the polymer.