452 results about "Related factors" patented technology

Methods for storing data records associated with a medical monitoring event in a data structure. An implanted device obtains data and stores the data in the data record in a first data structure that is age-based. Before an oldest data record is lost, the oldest data record may be stored in a second data structure that is priority index-based. The priority index may be determined by a severity level and may be further determined by associated factors. The implanted device may organize, off-load, report, and / or display a plurality of data records based on an associated priority index. Additionally, the implanted device may select a subset or composite of physiologic channels from the available physiologic channels based on a selection criterion.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for an autonomous vehicle having one or more autonomous operation features are provided. According to certain aspects, accident risk factors may be determined for autonomous operation features of the vehicle using information regarding the autonomous operation features of the vehicle or other accident related factors associated with the vehicle. The accident risk factors may indicate the ability of the autonomous operation features to avoid accidents during operation, particularly without vehicle operator intervention. The accident risk levels determined for a vehicle may further be used to determine or adjust aspects of an insurance policy associated with the vehicle.

A system for controlling presentation of information to a user based on the user's current condition. In particular, the system monitors the user and the user's environment, and creates and maintains an updated model of the current condition of the user. The user condition can include a variety of condition variables, including abstract concepts such as the user's current cognitive load, desired level of privacy for output information, and desired scope of audience for output information. Upon receiving output information to be presented to the user (e.g., from an application program), the system determines an appropriate output device and an appropriate format with which to present the information to the user, and then presents the output information. The system can also receive description information about the output information that describes relevant factors for determining when and how to present the output information (e.g., the importance and urgency of the output information, the consequences of the user not receiving or ignoring the output information, etc.). Some versions of the system execute on a wearable computer having a variety of available output display devices.

A method for constructing geo-location service replies (e.g. “You are near Bob's Café”, or “Proceed one block north to Bob's Café”) based on landmark-related relevance factors (e.g. if the user's location is close to a known landmark or sponsored location) to serve to a client terminal (e.g. a user's a mobile telephone, a smart phone, a GPS terminal). The system receives a user's geo-location service request (e.g. “Where am I”), and proceeds to construct one or more response candidates to service the user's geo-location service request. Candidate replies are then scored based on relevance factors (e.g. does the candidate location relate to the user's recent geo-service queries, is there a sponsored landmark in general proximity, etc), and high scoring geo-service replies are sent to the user's client terminal. In some cases, more than one relevance factor is considered (e.g. proximity relevance, visibility relevance, familiarity relevance, etc).

An apparatus for storing data records associated with a medical monitoring event in a data structure. An implanted device obtains data and stores the data in the data record in a first data structure that is age-based. Before an oldest data record is lost, the oldest data record may be stored in a second data structure that is priority index-based. The priority index may be determined by a severity level and may be further determined by associated factors. The implanted device may organize, off-load, report, and / or display a plurality of data records based on an associated priority index. Additionally, the implanted device may select a subset or composite of physiologic channels from the available physiologic channels based on a selection criterion.

Methods and apparatus for storing data records associated with a medical monitoring event in a data structure. An implanted device obtains data and stores the data in the data record in a first data structure that is age-based. Before an oldest data record is lost, the oldest data record may be stored in a second data structure that is priority index-based. The priority index may be determined by a severity level and may be further determined by associated factors. The implanted device may organize, off-load, report, and / or display a plurality of data records based on an associated priority index. Additionally, the implanted device may select a subset or composite of physiologic channels from the available physiologic channels based on a selection criterion.

Apparatus for storing data records associated with a medical monitoring event in a data structure. Upon indication by a patient of a possible manifestation of a neurological event, the implanted device obtains and stores data in the data record in a first data structure that is age-based. Before an oldest data record is lost, the oldest data record may be stored in a second data structure that is priority index-based. The priority index may be determined by a severity level and may be further determined by associated factors. The implanted device may organize, off-load, report, and / or display a plurality of data records based on an associated priority index. Additionally, the implanted device may select a subset or composite of physiologic channels from the available physiologic channels based on a selection criterion.

Systems and methods for recommending third party products and services. The method includes the steps of ranking the third party products and services based on one or more factors, and generating a user profile based on one or more user-related factors. Next, the method determined appropriate third party products and services based on the user's geographical location and filters the third party products and services based on the user profile and the user's geographical location. These filtered results are dynamically ranked based on the user profile, and personalization of the third party products and services. Finally, the method provides the ranked results pertinent to the end user's preferences, and the geographical location.

The selection of an optimal data center location for running a computational workload is based on multiple energy criteria. The location is chosen based on multivariate and predictive analysis of total direct and indirect energy costs, and other user-defined factors. Among the direct and indirect costs are power costs and cooling costs as well as structural and other details of a given data center. Among the other factors to be considered that can have an impact on present and future costs are weather patterns, data and forecasts, availability of energy providers, and energy attributes. A forecaster factors these direct and indirect costs along with extrinsic information such as historical trends and predictive sources into a forecast which is then input to a decision engine along with user defined criteria and with anticipated compute tasks and requirements to select a final location or locations for handling the workload.

A system or method for managing devices (collectively “device management system”) is disclosed. The device management system uses a matrix, table or other data structure technique (collectively “data structure”) to configure the input parameter(s) for one or more devices. The data structure can be modified in a dynamic or static fashion to accommodate different device configurations and different device interactions. Use of the data structure can eliminate the need for multi-level “nested if” statements that are complex, deep, and difficult to modify without causing an unforeseen error. The data structure can encapsulate the hardware specific characteristics of the various devices so that the application software written for the various devices can be written independent of the hardware-specific characteristics of the devices. Thus, the data structure can act as an interface between hardware-specific characteristics relating to the various devices and various user interactions and other related factors.

The invention provides a driving behavior safety evaluation method based on human-vehicle-environment multiple data sources and belongs to the field of automobile safety driving research in the aspectof road transportation application. The method comprises the steps that information data of a driver, driving data of a vehicle and environmental factor data are acquired as automobile driving sourcedata; according to the automobile driving source data, related factors which influence the driving safety are analyzed, and a driving risk evaluation index system is built; through statistical analysis, an evaluation value corresponding to an evaluation index is extracted in the source data, a driving risk score of a vehicle to be evaluated is calculated and obtained, and finally the driving behavior safety grade of the vehicle is determined. The driving behavior safety evaluation method has reliable evaluation results, can prevent dangerous driving behaviors, reduces traffic accidents and improves the traffic flow.

The method and system of merges user-supplied electronic content with relevant ads based upon relevancy factors discerned form the ads and the content. Further, profiles and session histories of user-visitors are monitored and ad relevancy factors discerned form the profiles and session histories are employed to obtain user-relevant ads. The content relevant ads and user relevant ads are inserted into a preformed web page in addition to the user-supplied content. A revenue splitting module shares the ad referral or sales revenue from the click throughs to advertiser designated web sites. The relevancy factors relate to one or more of the supplied content, the user who uploaded the content, the user profile (previously input by the user), current session history, past session history, the user-group profiles and any user referral source. A comparator matches relevancy factors and ads. Ad selection by category, hierarchical or orthogonal match and high pay referral fees.

Methods for predicting a patient's adherence to a medical treatment and optimizing the patient's treatment are provided. A questionnaire is developed using statistical analysis and / or mathematical modeling of factors affecting patient adherence, and is administered to a patient. Such factors may include the patient's openness to being persuaded to adhere to the medical regimen, the patient's perception of the risks and benefits associated with the medical regimen, and / or other patient-related factors. Based on the patient's answers to the questionnaire, a degree of adherence to the medical regimen associated with the patient is predicted and an intervention program is recommended to improve the patient's compliance with the treatment plan in the regimen.

The invention discloses application of nicotinamide mononucleotide in preparation of anti-aging drugs or health care products, wherein nicotinamide mononucleotide is applied to preparation of anti-aging drugs or health products. The nicotinamide mononucleotide (NMN) provided by the invention is used as an active ingredient in preparation of anti-aging drugs or health products. The specific dose can be decided according to the severity degree of diseases, drug delivery approaches and related factors. NMN itself is a body intracellular substance, has high safety as a drug or health product, and the NMN is a monomer molecule, the efficacy is obvious and stable.

A forecasting engine and method assists in rapidly and accurately forecasting occurrences of identifiable events and / or results based on signature and / or pattern matching. The present invention derives signature for event-types based on a comparison of actual event data with pre-established representational surfaces. The surfaces represent functional measurements and analysis associated with elements of the geospatial boundary being considered. The present invention provides highly refined modeling processes to assist in quickly focusing on the proper measurement type and / or variable type, and detailing analysis around the most relevant factors. In this way, the present invention allows for more rapid and more accurate assessment determinations. In one aspect, the present invention provides a decision support system for assisting in the determination of potentially successful commercial locations. In another embodiment, the present invention provides a centralized portal capable of assessing multiple problems simultaneously.

The invention discloses a method for the geometric transformation calibration and the curved surface interpolation modification of a laser line scanning probe, and a device; the noncontact measurement technology is adopted to be used for the accurate calibration and further modification of the probe of a laser line scanning three-dimensional profile measuring system; the method carries out calculation on the basis of the basic measuring principle of a probe system and completely eliminates calibration theory errors brought by the traditional calibration method (such as a polyfit calculation method, etc.). In the detailed parameter calculating process, the statistical analysis technologies of curve analysis and least squares, etc., are adopted by the algorithm; therefore, the requirement of multiscale calibration caused by the related factors of lens distortion, probe assembly and adjustment error, etc. to different calibration areas is fully considered on the basis that the basic principle is fully met, thus leading the probe to have excellent stability and operability.

The invention relates to an intelligent medical record input platform based on a knowledge base. The knowledge base needed by medical record input is formed through carrying out information extraction on history medical records of a hospital, and a specific operating procedure is as follows: (1) electronic medical records are uploaded to a background business management module; (2) the background module automatically scans and extracts corpora and medical record examples from the electronic medical records in batch to form the knowledge base; (3) an intelligent medical record input module downloads the generated knowledge base from a server side, and a user utilizes an intelligent medical record input client to input the medical record; and (4) the user triggers a client function key to send the current input information to the background to carry out query of related factors of the medical record to give a diagnosis prompt. According to the intelligent medical record input platform based on the knowledge base, the user selects words or sentences with highest accuracy to quickly input the medical record in a minimum context based on the knowledge base formed through carrying out information extraction on the history medical records of the hospital, and an auxiliary diagnosis information prompt function is provided for the user in the input process, and the intelligent medical record input platform is convenient to use.

PCT No. PCT / US94 / 05844 Sec. 371 Date Jun. 6, 1995 Sec. 102(e) Date Jun. 6, 1995 PCT Filed May 24, 1994 PCT Pub. No. WO94 / 27622 PCT Pub. Date Dec. 8, 1993This invention provides a method for developing immune tolerance in xenogeneic organ graft recipients, in which lympho-hematopoietic cells from an intended organ graft recipient are differentiated within a xenogeneic surrogate, such as a fetal animal. After birth of the surrogate, the matured lympho-hematopoietic cells containing antigen specific regulatory cells, including suppressor cells, veto cells, select B cells, anti-idiotype antibodies, and other related factors responsible for antigen specific tolerance in a surrogate animal are reintroduced into the intended organ graft recipient, in conjunction with an organ transplant or a tissue transplant from the xenograft surrogate. The invention also provides an organ graft repopulated with cells from the intended organ graft recipient produced in a surrogate animal.

This invention provides a system and method that improves the sensitivity and localization capabilities of Magnetic Particle Imaging (MPI) by using combinations of time-varying and static magnetic fields. Combinations of magnetic fields can be used to distribute the signals coming from the magnetic particles among the harmonics and other frequencies in specific ways to improve sensitivity and to provide localization information to speed up or improve the signal-to-noise ratio (SNR) of imaging and / or eliminate the need for saturation fields currently used in MPI. In various embodiments, coils can be provided to extend the sub-saturation region in which nanoparticles reside; to provide a static field offset to bring nanoparticles nearer to saturation; to introduce even and odd harmonics that can be observed; and / or to introduce combinations of frequencies for more-defined observation of signals from nanoparticles. Further embodiments provide for reading of the signal produced by cyclically saturated magnetic nanoparticles in a sample so as to provide a measurement of the temperature of those nanoparticles. The spectral distribution of the signal generated provides estimates of the temperature of the nanoparticles. Related factors may also be estimated—binding energies of the nanoparticles, phase changes, bound fraction of the particles or stiffness of the materials in which the nanoparticles are imbedded.

The present invention provides for enhanced search results in response to a search request based on a search term. The enhanced search results generate a search results page including a plurality of document identifiers including a hyperlink and an abstract, each abstract including a plurality of abstract terms. The method and apparatus, upon receipt of the search request, accesses a relevancy factor database that includes relevancy factors. The relevancy factors are determined by accessing feedback logs for search results based on the same search term, calculating a popularity factor for each of the plurality of phrases in the abstracts and user selection activity and relevancy factors are based on the popularity factors. Thereby, the method and apparatus generates the search results page with the sequence of the document identifiers based on the relevancy factors.

The invention discloses a comprehensive error correction method of a short-period wind power prediction system. The method comprises wind power plant power output link error correction and numerical value weather forecast link error correction; the step of correcting an error of a wind power plant power output link comprises the steps of calculating the best modeling granularity of a power output model, accumulating after modeling by a plurality of fans instead of a single unit, rejecting an abnormal data point on a scatter diagram of the power output model with a times-variance method, and correcting the system error of the power output model by related factors; the step of correcting an error of a numerical value weather forecast link comprises the steps of obtaining a leading value weather forecast wind speed sequence by comparing actually measured wind speed with related coefficients of the numerical value weather forecast wind speeds in different time and space and correcting the system error, and correcting a cold front arrival time-delay error by a correlation analysis method. As to the problem of low input data quality of the existing short-period wind power prediction system, the comprehensive error correction method is generally applicable to various short-period wind power prediction methods, and can be conveniently applied to actual engineering, so that the modeling precision and the prediction precision of the short-period wind power prediction can be obviously improved.

The invention provides a method for assessing the power distribution reliability of a large-scale medium-voltage distribution network based on modes. For the large-scale medium-voltage distribution network, the detailed assessment and analysis of power distribution reliability has a large amount of work load and implement difficulty. In the method of the invention, similarities of lines in structural characteristic, electric characteristic, power distribution reliability and other aspects in the distribution networks of the same area are considered, thus the structural characteristic of one set of lines is selected as the basis of classification, and the lines with the similar structural characteristic belong to the same mode, wherein the reliability index of each mode is represented by typical lines therein, thereby greatly reducing the work load and analysis difficulty of reliability assessment. The classification method of the mode is mainly based on the relative factors of the distribution network structure, thus the mode is called as a network reliability characteristic mode. The method is applied to the assessment of the power distribution reliability of the large-scale medium-voltage distribution network.

A return-on-investment (ROI) modeling system and method of the present invention calculates a return-on-investment for various scenarios in a semiconductor or data storage fabrication facility ("fab"). The ROI system and method of the present invention calculates the ROI based upon having fab operational details entered. The ROI calculation may be performed for an entire fab or a particular fab processing line. The present invention compares the ROI of a current operation with a contemplated change or set of changes. A complete set of pertinent factors having a relevant or significant impact on an accurate ROI calculation is taken into consideration. Further, the present invention determines costs associated with, for example, the installation of a new tool, downtime costs, short-loop test runs, split-lot testing, design-rule shrinks, and wafer-size changes. If a fab is not currently operating at maximum capacity, an embodiment of the invention calculates an increased capacity capability.

The invention relates to a method and a system for constructing a knowledge base for assisted diagnosis and treatment based on word vectors. The method comprises the following steps: acquiring patient description; matching the keywords in the patient description based on the expanded disease-disease-related factor dictionary constructed based on the word vectors, and extracting medicine-related words and expression from the patient description; detecting whether the extracted words and expression are in the standard disease-disease-related factor dictionary; calculating the score of the disease based on the detecting result and according to related score of the disease corresponding to the disease-related factors obtained from the expanded diseases-disease-related factor dictionary; sequencing the score of the disease; determining the disease according to the sequencing result. With the adoption of the method and the system, the technical problem of how to predicate orally-described disease of a patient can be solved.

A method of determining optimal air conditioner control is provided that includes determining power consumptions of servers and computer room air conditioners, calculating a number of calories processed by each air conditioner and determining a total number of calories processed as a total heat processed load. Moreover, the method includes determining relevant factors between each of the servers and each of the air conditioners, calculating a percentage of the total heat processed load for each air conditioner, adjusting the corresponding percentage of the total heat processed load for each air conditioner using an operating efficiency curve, calculating a respective power to be consumed by each air conditioner, calculating an efficiency value, determining whether the efficiency value is a maximum efficiency value, and setting each air conditioner at the respective power to be consumed when the efficiency value is the maximum efficiency value.

Systems and methods for recommending third party products and services. The method includes the steps of ranking the third party products and services based on one or more factors, and generating a user profile based on one or more user-related factors. Next, the method determined appropriate third party products and services based on the user's geographical location and filters the third party products and services based on the user profile and the user's geographical location. These filtered results are dynamically ranked based on the user profile, and personalization of the third party products and services. Finally, the method provides the ranked results pertinent to the end user's preferences, and the geographical location.

A system for calculating the bearing of a signal source, with a directional antenna, provides corrections for distortion, such as due to a small fuselage of the monitoring aircraft and the elevation angle of an intruder aircraft with respect to the monitoring aircraft. A correction is applied to the bearing estimate that is based on relevant factors, such as the fuselage size and the elevation angle of the intruder aircraft. The correction can be calculated or applied through the use of a look-up table, which may be either pre-selected or selected after calculation of the elevation angle of the intruder aircraft.

Methods and apparatus for storing data records associated with a medical monitoring event in a data structure. An implanted device obtains data and stores the data in the data record in a first data structure that is age-based. Before an oldest data record is lost, the oldest data record may be stored in a second data structure that is priority index-based. The priority index may be determined by a severity level and may be further determined by associated factors. The implanted device may organize, off-load, report, and / or display a plurality of data records based on an associated priority index. Additionally, the implanted device may select a subset or composite of physiologic channels from the available physiologic channels based on a selection criterion.

The invention provides a battery pack equilibrium method based on clustering analysis. A clustering analysis method is used for analyzing data such as voltages and internal resistance of each battery unit of battery packs in a time period in a clustering mode, the battery packs are classified, and meanwhile current information such as voltages and charging and discharging currents of batteries during equilibrium strategy judging is combined, so that the classified battery packs are further selected, finally battery units which need equilibrium charging and equilibrium discharging in the battery packs are obtained, and a charging and discharging loop is controlled to carry out equilibrium maintaining through an equilibrium module. According to the battery pack equilibrium method, history battery voltage data are introduced so that influence from voltage-abnormal batteries and voltage collecting accuracy can be effectively avoided, and meanwhile surplus capacity relevant factors such as SOC and SOH are combined, so that the phenomenon that the voltages and capacity are not in accordance is effectively avoided, the consistency of the battery packs is effectively guaranteed, and service life of the battery packs is further prolonged.

The selection of an optimal data center location for running a computational workload is based on multiple energy criteria. The location is chosen based on multivariate and predictive analysis of total direct and indirect energy costs, and other user-defined factors. Among the direct and indirect costs are power costs and cooling costs as well as structural and other details of a given data center. Among the other factors to be considered that can have an impact on present and future costs are weather patterns, data and forecasts, availability of energy providers, and energy attributes. A forecaster factors these direct and indirect costs along with extrinsic information such as historical trends and predictive sources into a forecast which is then input to a decision engine along with user defined criteria and with anticipated compute tasks and requirements to select a final location or locations for handling the workload.