309 results about "Quantitative measure" patented technology

Methods, apparatuses, and computer-readable media for displaying one or more visualizations of quantitative measurements of the sentiment expressed among online social media participants concerning subject matter of interest in a category. Embodiments are configured for displaying how the sentiment among the online social media participants trends over time and how the sentiment trends with respect to social media source or groups of sources. Embodiments display the actionable information in a graphical interface in an intuitive and user-friendly manner at different levels of granularity that enables the quantified online social media content to be grouped and filtered in a variety of default and/or customizable ways.

A non-invasive, early stage method to obtain quantitative measures of mild cognitive impairment useful in diagnosing and following degenerative brain disease or closed head injuries by utilizing the image data from individual patient positron emission tomographic scans to construct a cognitive decline index that serves as a diagnostic and screening tool to reveal the onset of mild cognitive impairment and nervous system dysfunction which are sequelae of degenerative brain diseases and closed head injury. The method involves using weighted values of brain region intensities derived from comparing scans of normal subjects to a scan of the patient to calculate a cognitive decline index that is useful as a diagnostic tool for mild cognitive impairment. The weights for the intensity values for each region are derived from the differences of intensity values from regions of the brain of the patient selected by comparing the patient to normal control subjects.

The present invention pertains to a portable apparatus for quantitatively measuring the concentration of specific substances in test samples of a lateral flow or microplate assay in medical, biomedical and chemical applications, and for making subsequent analysis and diagnosis. The portable apparatus includes a sample tray for carrying and aligning the test sample in the apparatus; a enclosure that may also serves as the frame of the apparatus; a digital image acquisition system that is used to obtain the digital image of the test sample on the sample tray; and a data display, processing, and analysis unit that is a general purpose or dedicated computer, such as a handheld computer (HHC), a pocket personal computer (PPC), a personal digital assistant (PDA), a palm-top computer, a laptop computer, or a dedicated microprocessor and associated hardware, for measuring the concentration of specific substances in the test sample, and making subsequent analysis and diagnosis, based on the measurement, statistical data, prior knowledge and mathematical model. The stated enclosure and frame, the digital image acquisition system, and the data display, processing and analysis unit are integrated to form the portable apparatus for various applications. The integrated apparatus of this invention, with a possible name—Portable Intelligent Multi-Diagnoser (PIMD), thus forms a portable and multiple-purpose tool for measuring the concentration of specific substances in test samples, and making subsequent analysis and diagnosis in a variety of settings, such as a mobile site, point of care or near patient care, and small laboratories.

The present invention provides a system and method to provide a measurement of the risk that a computer network may have to computer security threats. The system includes a collocation facility that is coupled to a plurality of computer security management systems. Some or all of the vulnerability information is reported to the collocation facility. At the collocation facility, this information is compared to a standard. This comparison yields a number or other measurement of that organization's risk in its computer security. The collocation facility can then report this measurement to any information user that wishes to know what the vulnerability is for that organization.

Systems and methods provide for detecting respiration disturbances and changes in respiration disturbances, preferably by detecting variability in one or more respiration parameters. Respiration rate variability is determined for a variety of diagnostic and therapeutic purposes, including disease/disorder detection, diagnosis, treatment, and therapy titration. Systems and methods provide for generating a footprint, such as a two- or three-dimensional histogram, representative of a patient's respiration parameter variability, and generating one or more indices representative of quantitative measurements of the footprint.

Ligase detection reaction is utilized to distinguish minority template in the presence of an excess of normal template with a thermostable ligase. This process can be carried out with a mutant ligase, thermostable ligase, or a modified oligonucleotide probe. This procedure is particularly useful for the detection of cancer-associated mutations. It has the advantage of providing a quantitative measure of the amount or ratio of minority template.

In the automation of project risk identification, various qualitative and quantitative measures are combined to report a project's risk level, areas, and mitigation in an automatic and objective manner. The software package includes a risk assessment and report framework and a risk engine, a portfolio analysis, a project plan validator, an integrated project management office toolkit and process asset library, and an integrated skills tracking, locating and availability module with a skills engine.

The present invention provides a computer-implemented system and method of text processing. The system and method include analyzing selected text units of a digitally coded parsed text file to determine text entities, determine the interconnections between the text entities, test the validity of the text entities, and determine a quantitative measure of the significance of each text entity. A multigranular relational text structure is constructed which incorporates the text entities. Output text is generated from the relational text structure using entity grouping rules. The text file is parsed using a system of natural dividers. The text units are selected from the parsed text file using windowing and scanning. The output text generated conforms to user constraints which can include the volume of output text to be generated, keywords to be reflected in the output text, and the level of generalization of the output text.

The invention is of an "elastic matching" method for comparing one signature against another, comprising the operations of creating a mapping between corresponding points in two signatures to be compared measured at different times after the commencement of writing the signatures which maximizes the correlation between the local spatial neighborhood of the measured points and simultaneously minimizes the curvature of the elastic spatial distortion from the mapping, providing quantitative measures of both the degree of the spatial correlations and the degree of the non-uniform spatial distortions in the mapping, thereby providing measures of the similarity between the signatures.

The invention provides a method for grouping measurement data obtained by effecting two or more techniques to provide characterization data characterizing at least one sample with respect to characterizing substances. According to one aspect of the invention, the grouping is effected on the basis of at least one statistical distribution of deviations (Δm/z_i) of a respective characterizing measurement value. According to another aspect of the invention, the grouping is effected on the basis of at least one collective characteristic of a plurality of respective quantitative measurement values (I_i).

A network behavioral metric is extracted from a communication network based on a relevancy of the metric to network behavior by identifying a network metric x that is defined as a random variable that represents a quantitative measure of a network behavior accumulated over a period of time, selecting a network feature, generating a metric disintegration model for the network metric x comprising at least one normal behavior probability distribution function for the metric x for each value of the network feature, respectively, and at least one abnormal behavior probability distribution function for the metric x for each value of the network feature, respectively, increasing a number of the values of the metric x that indicates normal network behavior and/or abnormal network behavior based on the metric disintegration model, and selecting a network metric x as a behavioral metric based on a relevancy η of the network metric x to the network behavior. Embodiments for tracking network behavioral changes are also provided.

The invention relates to fluorescence immune chromatography test paper which is formed by mutually and sequentially overlapping a sample pad, a combination pad, an antibody carrying film and water absorbing paper on a lining board with adhesive, wherein the combination pad is coated with a fluorescence material antibody 1 composite, a fluorescence-marked material is fluorescein granules or fluorescence material converted by rare earth, the antibody carrying film is a cellulose nitrate film or a nylon film and is respectively connected with an antibody 2 and the T line and the C line of a secondary antibody, the fluorescence material is fluorescein granules or the fluorescence granules converted by the rare earth, and the fluorescein granules are selected from isosulfocyanic acid fluorescein or tetramethyl isosulfocyanic acid rhodamine or tetraethyl rhodamine, and the surface of the fluorescence-marked material is aminated and combined with the antibody by cross-linking reaction. The fluorescence quantitative measuring system is used for detecting the fluorescence strength of the areas of the T line and the C line, and the quantitative detection is completed by the standard curve of the antigen concentration. The invention is suitable for the immune detection of tumor marked objects of urinal fiber-connected protein, and the like.

System and methods are disclosed for quantitatively assessing information in natural language contents related to an object name, or a concept or topic name, and for determining the relevance between a text content and one or more concepts or topics. The methods include identifying the grammatical or semantic attributes and other contextual information of terms in the text content, and retrieving an object-specific dataset related to the object name, or an equivalent to a concept or a topic name. The data set includes property names and association-strength values. The methods further include matching the terms in the text content with the property terms in the dataset, and calculating a score as a quantitative measure of the relevance between the text content and the concept or topic.

A system for the imaging, processing and evaluation of tissues provides prognostic and diagnostic details regarding diseased tissue. A set of quantitative measures were developed and integrated in an image-base analysis software tool designed for OCT images. The system and methods in this invention is significant because it allows assessing the optical properties and structure morphology differences between normal healthy subjects and diabetic patients with retinopathy up to ETDRS level 35 and without retinopathy.

A moisture sensor includes a pair of electrode plates separated by a moisture absorbent material that forms the dielectric of a capacitive sensor. As the absorbent dielectric material absorbs moisture, such as perspiration, the capacitance of the sensor changes reflecting a quantitative measure of perspiration absorbed. The sensor can be stabilized by capacitively coupling the dielectric material to the skin of the user to improve sensor stability and noise rejection. The sensor can include a capacitive sensing integrated circuit that measures the capacitance of the sensor in close proximity to the electrodes to limit the introduction of noise.

The nonlinear complexity of EEG signals is believed to reflect the scale-free architecture of the neural networks in the brain. Analysis of the complexity and synchronization of EEG signals as described herein provides a quantitative measure for routine monitoring of functional brain development in infants and young children and provide a useful biomarker for detecting functional abnormalities in the brain before the cognitive, behavioral or social manifestations of these brain developments can be observed and measured by standard tests. One or more machine learning algorithms are used to discover relevant patterns in the complexity and synchronization values determined from the EEG data to facilitate risk assessment and/or diagnosis of developmental disorders in infants and young children by predicting cognitive, behavioral and social outcomes of the measured functional brain activity patterns.

A method is provided for generating at least one quantitative measure of a joint comprising sending an acoustic signal to at least a part of a joint, receiving said acoustic signal after modification by said joint, analyzing the received acoustic signal with a computer, and generating, from said computer, one or more of a quantitative surface, quantitative volumetric and quantitative measurements of the physical properties of the joint or a portion thereof.

A method for analysis of the extent of conscious awareness and likelihood of recovery of a patient includes the steps of applying to the patient a sensory stimulus sequence which is typically auditory; carrying out an EEG to generate waveform signals to record changes in the electromagnetic fields generated by the patient's neural activity; using software provided in a processor to process the waveform signals in order to locate waveform peaks, identify the event-related potential (ERP) components obtained in the waveform and to obtain quantitative measures of those components; and using the software to generate and communicate scores indicative of the extent of conscious awareness and likelihood of recovery of the patient.