34 results about "Life expectancy" patented technology

The invention belongs to the technical field of bio-based material testing equipment, and discloses a bio-based material photo-oxidative aging simulation testing device which comprises a box body, and a door body is arranged on the front face of the box body; the controller is fixedly arranged at the top of the box body and is used for controlling test parameters; the testing part is fixedly mounted on the inner wall of the top of the box body, is internally provided with illumination, temperature, humidity and oxygen concentration function devices, and is used for testing and evaluating the performance degradation rule and life expectation of the material; the rectangular box is fixedly mounted on the inner wall of the bottom of the box body, is rectangular in appearance, has a remarkable multi-dimensional adjustment function by arranging the rotating assembly, can ensure that the bio-based material is at the optimal illumination test angle in the test process, and can realize the optimal illumination test angle by combining longitudinal and transverse rotating mechanisms; and the bio-based material can rotate in all directions in a test area, so that accurate illumination angle adjustment is realized.

The invention relates to the technical field of population prediction, and discloses a population prediction method and device based on combination of an ARIMA model and a queue element method. The method comprises the steps of obtaining historical migration population data of a to-be-predicted region, determining a difference order through ADF test, preliminarily determining the range of an autoregression order and a moving average order by using an autocorrelation function and a partial autocorrelation function, and constructing an ARIMA model; the optimized ARIMA model is adopted to fit historical migration population data, a migration population prediction result is obtained, and migration population data of each age group in the target prediction time period is output in combination with age structure data of floating population of the reference year; taking the migration population data of each age group as input parameters of migration population in a queue element method; according to a preset sum growth rate, selecting a western mode of a numeral-demann region model life table as a death model; and setting the average life expectancy according to a preset birth ratio, and realizing permanent resident population prediction of the to-be-predicted region.

The invention discloses a service life prediction method for a sealing structure of an aviation hydraulic pipeline system, and relates to the technical field of service life prediction of sealing structures, and the method comprises the following steps: constructing different service life test data sets, and carrying out clustering analysis according to environmental parameters; pre-training one machine learning model based on each cluster of life test clustering data set; environment parameter data and state parameter data are collected; calculating the distance between the environment parameter data and the environment parameter clustering center, and selecting at least two life prediction models for life prediction; and calculating the weight of each residual life prediction result according to the distance, and carrying out weighted summation to obtain a final life prediction result. According to the method, the service life test data sets under different environmental parameter test data are constructed, the clustering analysis and the machine learning model are combined, the weight is calculated according to the distance, and the accuracy and reliability of service life prediction of the sealing structure are improved.

The present invention provides a rail vehicle frame and a design method and device thereof. The rail vehicle frame design method comprises the following steps: (A) taking the structural design parameters of the rail vehicle and the structural design parameters of the track as input, establishing a dynamic model of the rail vehicle and the track in a simulation space; (B) applying an excitation signal of frame vibration to a corresponding position of the dynamic model, and applying a track unevenness excitation signal to the dynamic model, to obtain a stress curve of each analyzed part in the frame; (C) calculating the expected life L of each analyzed part; (D) comparing the expected life of each analyzed part calculated in step (C) with the life design value of the frame respectively, if the calculated expected life of each analyzed part is not less than the life design value of the frame, and the difference between the calculated expected life of each analyzed part and the life design value of the frame is not less than the corresponding safety margin, then the structural design parameters of the frame meet the requirements.

The present invention relates to a life prediction method and system for a co-carrying system. The method comprises using a sensor to obtain degradation trajectory data of each component in the co-carrying system during service; establishing a degradation model of the co-carrying system based on the Wiener process according to the degradation trajectory data; determining the total drift coefficient and total diffusion coefficient of each degradation stage according to the degradation trajectory data of each component; identifying the parameters of the degradation model according to the total drift coefficient and total diffusion coefficient of each degradation stage based on the degradation model; and determining the remaining life of the co-carrying system using the degradation model after identifying the parameters and the degradation trajectory data of each component. The present invention can improve the accuracy of the life prediction of the co-carrying system.

A system for collecting physiological data from a patient is disclosed. The system includes a reusable module and a disposable module. The disposable module collects and transmits physiological data to the reusable module, which in turn transmits the physiological data to a patient monitoring system. The reusable module accesses operation data from the disposable module to validate the disposable sensor assembly. Optionally, the operation data includes sensor life data that may be used to determine life expectancy of disposable module. The disposable sensor assembly may store the physiological data for a predetermined length of time when there is no wireless communication established for the reusable module.

A sealing arrangement for a rotary device includes a seal member configured to selectively seal against fluid passing between two chambers. The seal member seals against fluid when in an actuated state and does not provide such sealing when in a deactuated state. A transition member maintains the seal member in the deactuated state during an initial configuration of the rotary device. After a time, the rotary device is transitioned (e.g., using a tool) to a subsequent configuration in which the seal member is actuated. Actuating the seal members during a mid-life of the rotary device enhances the life expectancy of the rotary device.

The disclosure includes the identification and use of gene expression profiles, or patterns, with clinical relevance to extended treatment and cancer-free survival in a patient. In particular, the disclosure includes the identities of genes that are expressed in correlation with benefit in a switch in endocrine therapy used to treat a patient. The levels of gene expression are disclosed as a molecular index for predicting clinical outcome, and so prognosis, for the patient. The disclosure further includes methods for predicting cancer recurrence, and / or predicting occurrence of metastatic cancer, after initial treatment with an anti-estrogen agent. The disclosure further includes methods for determining or selecting the treatment of a subject based upon the likelihood of life expectancy, cancer recurrence, and / or cancer metastasis.

The present invention discloses a health management method for redundant electrostatic servo mechanism based on digital twin technology. Aiming at the key failure problems existing in the operation and maintenance of redundant electrostatic servo mechanism, the main failure modes and failure mechanisms of servo mechanism under typical mission profiles and working conditions are studied, and the state evolution law of servo mechanism and the characterization parameters of working performance degradation are determined; a digital twin of servo mechanism is constructed, and the digital twin is iteratively optimized based on interactive data, and the failure mode is implanted in the twin according to the determined state evolution law of servo mechanism, so that it can map the operation state and performance degradation history of servo mechanism entity in real time; the remaining life of redundant servo mechanism is predicted and failure probability is analyzed for the digital twin. The present invention realizes the life prediction based on the digital twin of servo mechanism, adjusts the control strategy of redundant servo mechanism according to the prediction results and real-time abnormal state changes, improves the operation and maintenance efficiency of servo mechanism, and realizes the health management of redundant electrostatic servo mechanism.

The invention discloses a prediction method and system for prolonging human life years by health intervention service, and relates to the technical field of data processing, and the method comprises the steps: building a health prediction model, and according to all-cause mortality and disease morbidity data of different genders and age groups, calculating a health prediction model; predicting the death probability of the crowd of each age group, the number of years of survivors of each age group, the total number of years of survivors and the expected life; in combination with the prevalence condition of general population health risk factors and the relative risk degree of all-cause death, calculating the life number of individuals who carry out health intervention earnings on different risk factors, and calculating the overall health score of the current individual; evaluating the health condition of the current individual according to the total health score of the current individual, discovering key risk factors, and making an intervention scheme. The life expectancy of healthy or chronic disease patients can be measured and calculated, and the method is suitable for application scenes of health intervention service evaluation.

The frequency calculation unit (21) calculates the passing frequency of the car (1) for each floor through which the car (1) can pass. A load degree calculation unit (22) calculates the degree of load received by the rope (4) from the pulley for each rope position. A load degree calculation unit (24) calculates a load degree corresponding to the threshold value. The life estimation unit (25) estimates the life of the rope (4) on the basis of the elapsed time from the start of use of the rope (4), the highest load degree calculated by the load degree calculation unit (22), and the load degree calculated by the load degree calculation unit (24).

The disclosure includes the identification and use of gene expression profiles, or patterns, with clinical relevance to extended treatment and cancer-free survival in a patient. In particular, the disclosure includes the identities of genes that are expressed in correlation with benefit in a switch in endocrine therapy used to treat a patient. The levels of gene expression are disclosed as a molecular index for predicting clinical outcome, and so prognosis, for the patient. The disclosure further includes methods for predicting cancer recurrence, and / or predicting occurrence of metastatic cancer, after initial treatment with an anti-estrogen agent. The disclosure further includes methods for determining or selecting the treatment of a subject based upon the likelihood of life expectancy, cancer recurrence, and / or cancer metastasis.

The disclosure includes the identification and use of gene expression profiles, or patterns, with clinical relevance to cancer. In particular, the disclosure includes the identities of genes that are expressed in correlation with tumor grade. The levels of gene expression are disclosed as a molecular index for determining tumor grade in a patient and predicting clinical outcome, and so prognosis, for the patient. The molecular grading of cancer may optionally be used in combination with a second molecular index for diagnosing cancer and its prognosis. The disclosure further includes methods for predicting cancer recurrence, and / or predicting occurrence of metastatic cancer. For diagnosis or prognosis, the disclosure further includes methods for determining or selecting the treatment of cancer based upon the likelihood of life expectancy, cancer recurrence, and / or cancer metastasis.

A method and apparatus for improving multi-cell battery safety and / or life expectancy using controlled battery compression. A strap circumscribes a multi-cell battery to apply to the battery a compressive force generated by a compression generator. A controller controls the compressive force in accordance with measured or received battery characteristics.

Method for controlling a device (100) and / or an adherence machine, wherein the method comprises: acquiring (S10) biomarker data, wherein the biomarker data describe at least one measurable parameter of an individual's biomarker; acquiring (S20) estimation data, wherein the estimation data describe at least one average life expectancy for the individual; determining (S30) individual data based on the acquired estimation data and the acquired biomarker data, wherein the individual data describe at least one individual life expectancy of the individual; determining (S40) control data based on the individual data, wherein the control data represent at least one control command for a device (100) to be controlled, for changing the at least one measurable parameter of the biomarker and / or for changing an individual's behavior;Control (S50) of the device (100) based on the determined control data, wherein at least one adjustable parameter of the device (100) is changed; and / or wherein at least one optical, haptic and / or acoustic interface of the device (100) is activated and / or deactivated based on the determined control data; and / or control of an adherence machine based on the determined control data. The invention also relates to a system or computer program (product).

Provided herein are methods for assessing ageing process, lifespan, life expectancy, biological age and the rate of aging by determining pangenome gene alterations. Also provided are methods for increasing lifespan and / or inhibiting aging.

A system method for selecting an intervention based on effective age, the system including at least a server, the at least a server designed and configured to obtain user data, project an actuarial life expectancy using a user chronological age, determine a telomeric age factor of the user by calculating a variance between the actuarial life expectancy and a projected actual mortality date, calculate an effective age of the user based on the telomeric age factor, and select an intervention from a plurality of configured to reduce the effective age.

The invention relates to an inhibitor of Rho GTPase Cdc42 for use in the prevention and / or treatment of Parkinson's disease of the human or animal body. In a mouse model in which the mice were genetically modified to accumulate α-synuclein and develop Parkinson's disease, it has been shown that the administration of a Cdc42 inhibitor in the diseased mice reduces the accumulation of α-synuclein, improves the symptoms of Parkinson's disease, increases the average life expectancy, and prolongs the total life span. Only minimal to no side effects occurred in the diseased mice.

LIFE ESTIMATION SYSTEM SOLUTION: A lifetime estimation system according to one aspect of the present invention includes a temperature measurement unit configured to measure a temperature of a test object, a temperature control unit, a heating and cooling unit configured to heat and cool the test object, an application unit configured to apply a load other than the temperature to the test object, and a detection unit configured to detect a failure of the test object.SELECTED DRAWING: Figure 1

The invention discloses bacillus coagulans for regulating and controlling host stress defense and delaying senescence and application of the bacillus coagulans, and belongs to the field of microorganisms. The invention provides a new application of the bacillus coagulans CCFM1041 in the aspects of delaying senescence and regulating intestinal flora, and model organisms and clinical experiments prove that the strain can realize senescence intervention, which is specifically reflected as follows: (1) the life expectancy of an individual is remarkably prolonged, the resistance of a host to environmental stress such as heat stress is improved, and the anti-aging effect of the host is improved; the motor function decline related to aging is improved; (2) regulating and controlling the intestinal microecological balance, specifically increasing the abundance of beneficial bacteria (such as bifidobacteria and lactobacillus), inhibiting the proliferation of potential pathogenic bacteria and reducing the age of the intestinal tract, thereby delaying the aging process of the intestinal flora. The invention provides a new application of the bacillus coagulans CCFM1041, and provides a new thought in the aspect of development of anti-aging drugs or microecologics.

Methods, systems, and devices for operational monitoring for memory devices are described. Some memory devices may degrade over time, and this degradation may include or refer to a reduction of an ability of the memory device to reliably store, read, process, or communicate information, among other degradation. In accordance with examples as disclosed herein, a memory device may include components configured for monitoring health or life expectancy or both of the memory device, such as components internal to the memory device that identify and store various indications of a duration of operating a memory device. An operational duration stored at the memory device may be used in various operations, such as calculations or comparisons, to evaluate health or life expectancy of the memory device, which may include or be supported by various signaling with a host device.

To provide a life estimation method that can accumulate physical quantity data indicating the state of a predetermined part constituting an industrial machine and calculate a failure timing or failure probability of the predetermined part.SOLUTION: The life estimation method acquires physical quantity data indicating the state of a predetermined part constituting an industrial machine, stores the acquired physical quantity data and time data indicating the time of acquisition of the physical quantity data in association with each other, calculates a function for estimating changes over time in parameter values correlated with the life of the predetermined part based on the acquired physical quantity data and time data, and calculates a failure time or failure probability of the predetermined part using the calculated function.SELECTED DRAWING: Figure 6

Provided herein are methods for assessing ageing process, lifespan, life expectancy, biological age and the rate of aging by determining pangenome gene alterations. Specifically, the methods comprising determination of the alteration of the gene composition in mammals and / or non-living genetic elements (NLGE) associated with mammals and at least one of the following: microbiota and / or NLGE associated with microbiota. The methods can be used for increasing lifespan and / or for inhibiting aging in mammals.

To improve accuracy of predicting residual life when predicting the residual life of a vehicle component on the basis of life related data acquired through wireless communication.SOLUTION: In a vehicle component residual life prediction device 36, a residual life calculation section 44 predicts a decrement of the life of a vehicle component (cumulative fatigue damage level (deterioration amount) Dc of the day) in a travel section with travel data not yet available Δx (either a travel distance with travel data not yet available Lint or travel time with travel data not yet available Tint) using the travel section with travel data not yet available and vehicle travel data on another vehicle. The residual life of the vehicle component on a vehicle 10 is predicted taking into account the predicted decrement of the residual life of the vehicle component in the travel section with travel data not yet available Δx. Thus, even when the operation state of the vehicle changed in the travel section with travel data not yet available, the vehicle component residual life prediction device can ensure prediction accuracy of the residual life of the vehicle component, that is either a residual travelable distance Lrem or residual travelable time Trem.SELECTED DRAWING: Figure 1

A method and apparatus for improving multi-cell battery safety and / or life expectancy using controlled battery compression. A strap circumscribes a multi-cell battery to apply to the battery a compressive force generated by a compression generator. A controller controls the compressive force in accordance with measured or received battery characteristics.

One problem to be solved by the present invention is to provide a composition for maintaining or improving life expectancy. The problem is solved by a composition for maintaining or improving life expectancy, which contains α-amino-n-butyric acid or a salt thereof that is pharmaceutically acceptable or is acceptable for a food.

The invention relates to the field of population life prediction, in particular to a population life expectancy estimation method and device, computer equipment and a storage medium, population age distribution raster data prediction is performed based on population association raster data and a pre-constructed nonlinear regression mapping model, and matching is performed in combination with a model life table. The population life expectancy raster data is obtained, the necessary requirement for the number of dead people in a traditional method is overcome, the spatial distribution characteristics of the population life expectancy are represented, and the accuracy of population life expectancy estimation of the target area is improved.

The invention discloses a steering-by-wire system life prediction method, which comprises the following steps: S1, determining a degradation characteristic influencing the life of a steering-by-wire system, and collecting a state monitoring quantity related to the degradation characteristic; s2, analyzing the correlation between the state monitoring quantity and the residual life, calculating the correlation between each state monitoring quantity and the degradation characteristic quantity, and screening the state monitoring quantity capable of reflecting the aging trend of the steer-by-wire system; s3, performing noise reduction on the screened state monitoring quantity by using singular value decomposition; s4, decomposing the degradation characteristic quantity into an eigenmode component and a residual component by using CEEMDAN; s5, global degradation trend modeling is carried out by inputting the eigenmode component into the MHA-BiLSTM model; s6, inputting the residual component into a hidden Markov model to carry out local fluctuation modeling; and S7, fusing prediction outputs of the global degradation trend model and the local fluctuation model. And local fluctuation caused by uncertainty is predicted by using a hidden Markov model, and finally, prediction output is fused to realize life prediction of the steering-by-wire system.