101 results about "Life stage" patented technology

An apparatus, method and data structure for procuring, analyzing, and communicating dietary information, particularly information regarding the research, evaluation and selection of dietary products. The system provides a comprehensive combination of dietary information in a format that facilitates analysis, decision-making, and procurement of various dietary products based on factors, including an individual's medical nutritional needs, current medication(s), cooking skills, budgeted food expense, food preferences, food allergies, life stage, and lifestyle.

An improved system and method for predictive targeting in online advertising using life stage profiling is provided. A life stage profiling engine may be provided in an embodiment for generating a life stage profile for a user. A life stage profile may include a collection of events or a distribution of characteristics that may represent a life stage of a taxonomy of life stages that may be generated from online or offline events. The events and attributes may be categorized and assigned a probability that a user may belong to a particular life stage, and the life stage of a user may be determined using the assigned probabilities, for instance, by applying naïve Bayesian techniques. Predictive targeting may be applied, either online or offline, using life stage profiles to target users for receiving advertising, content, ecommerce offers or other electronic communications.

A method for dynamic identity template management as a part of a marketing and sales program for universal life stage decision support. A user-defined template can be shared (pushed) to other networks, and template fields can be dynamically populated (pulled) from other networks; thus a template can grow in extensible dimensions, as well as become automatically updated. Also disclosed are techniques for be-friending based on identity template field matching, and for matching user's needs to service providers by collecting user input in profiles, creating multi-axis match objects from the profiles, and applying heuristics to create scored matches between profiles. Techniques for dynamic management of the identity profiles include defining extensible profile fields, launching automated agents corresponding to the extensible fields, and recording reported action from the automated agents. Users may create and manage permissions to permit other users or third party agents to populate information in a user-defined identity profile.

The invention discloses a detection method of a battery health state. The method comprises the following steps: acquiring battery capacity C; charging or discharging a battery to cut-off voltage, idling, acquiring change of current and voltage of the battery during charge or discharge and during the idling to obtain V-t and I-t curves; performing nonlinear fitting on the V-t curve in a voltage stabilizing process in the obtained V-t curve by applying a model formula to obtain a fitting curve and acquiring a reference value; repeating the steps after the battery works for N1, N2, ..., Nm times circularly to obtain fitting curves and reference values of the V-t curves at different life stages of the battery; acquiring an index value for detecting the battery health state and a change tread of the index value after different cycles according to the reference value of the battery after different cycles. In addition, the invention also provides a diagnosis method for the battery health state and a diagnosis method for the battery charge and the health state.

In a computer system having a plurality of software components, a security system for controlling interactions between the software components, the security system including at least one constraint associated with the interaction; and at least one attribute associated with the software components. The attributes and interaction parameters are bound to the constraint. The security system reaches a verdict permitting or forbidding the interaction, by resolving the constraint, based on value of the attribute and values of the parameters. The security system uses constraints and attributes specified during different life stages of each software component, where constraints are incrementally added during each subsequent life stage.

A method for virtual world advertising and data mining as a part of a marketing and sales program for universal life stage decision support. User profiles created based on virtual world attributes are matched-up to service providers. Service provider-defined images or advertisements are then presented to the matched-up user using heuristics to select and modify the images or advertisements. Pricing for placement of the advertisement is determined in part by online auction and payments can be made to a user for specific user actions taken. Actual user actions taken after presentation of an image or advertisement are recorded and correlated over time, and are then used in measurements, reports and also in the heuristics for determining what advertisements have desired effects on the user.

The invention relates to agricultural pesticide with essential oil and an application thereof. The agricultural pesticide comprises the following components: 5-90% of the essential oil with insecticidal active components, and 5-90% of solvent, 5-90% of pesticide adjuvant. The essential oil is one or mixture made one from wintergreen oil, camphor tree oil, clove oil, peppermint oil, eucalyptus oil, citronella oil or tea tree oil. The solvent is one or a mixture made of formic acid, acetic acid, propionic acid, methyl alcohol, ethyl alcohol or propyl alcohol. The pesticide adjuvant is one or mixture made of dodecyl benzenesulfonic acid, Tween-80, Span-80 (SPAN) or OP-10. The invention has low toxin for animals, safety for environment, efficiency for pests at each life stage and good effects for killing mites and pests. The agricultural pesticide has simple use method and low manufacturing cost, and is suitable for killing the mites and the pests in agriculture and forestry.

The invention provides a user data classification method. The method comprises the steps that user data characteristics are generated; a tagged data set and a untagged data set of user data are generated according to tagging rules; a positive sample tagged data set P and an unknown sample data set U of one classification in multiple classifications are built according to the tagged data set and the untagged data set; a classifier is generated according to the positive sample tagged data set P, the unknown sample data set U and the corresponding user data characteristics; the classifier is used for determining whether the user data in the untagged data set belongs to the classification or not. Accordingly, the user data is classified through an improved positive sample tag learning algorithm, the method is suitable for characteristic extraction of people, people having the similar life stages in a system are mined, and then electric business advertisements achieving precise people orientation are provided.

The invention provides an IGBT health state monitoring method based on a leakage current of a collector electrode. The method comprises the steps that after installation and debugging and before usage, an IGBT module passing detection is utilized for testing the leakage current of the collector electrode under certain conditions, and the leakage current of the collector electrode is recorded as an initial value; the leakage current of the collector electrode of the IGBT device is tested regularly and is recorded as a testing value; the testing value is taken into a collector electrode leakage current health state monitoring method simulation model, the fatigued aging process and the residual life of the IGBT device can be calculated, and the purpose of monitoring the IGBT health state is achieved; and when the deviation degree of the leakage current of the collector electrode reaches a failure standard, the device is determined to be invalid, at the moment, the IGBT device needs to be changed, and the above steps are repeated. By original state calibration and real-time monitoring, the health state and the reliability of the IGBT device in different life stages can be effectively estimated.

A method of producing a high-protein insect meal for use as a fish, shrimp and animal feed by providing a closed, environmentally controlled mass insect production facility into which are introduced one or more species of insects that are rich in protein and particularly suited for use in fish, shrimp and animal feeds. The insects can be chosen from, but not limited to, the orders of Blattodea, Orthoptera, Diptera, or Lepidoptera. Also, the chosen insects can be of the species moths, butterflies, flies, beetles and crickets. The insects are then fed a food source which can be vegetable, grain, plant, or animal components, and fish and animal wastes. Upon reaching the desired life stage, the insects are harvested and then processed into a dried protein meal.

The invention relates to a rotating-machinery life-stage identification method based on a deep self-encoding learning network of noise enhancement samples. For the purpose that extraction and expression of rotating-machinery life features as well as life stage identification are automatically learned under the condition of a small sample size, noise enhancement are conducted on training samples; after a plurality of sparse self codes are stacked, classification layers are added to construct the deep sparse self-encoding learning network which can not only automatically learn extraction of the life features, but also intelligently identify the life stages. Stepwise non-supervision adaptive learning and supervision fine tuning are conducted on the the samples obtained after noise enhancement through multi-layer sparse self encoding, so as to inhibit deep-network over fitting and improve network robustness. Therefore, automatic extraction and expression of the rotating-machinery life features are achieved, and finally intelligent identification of the rotating-machinery life stages in the classification layers are completed. The rotating-machinery life-stage identification method can be applied in identifying rolling bearing life stages, and identifying results are good under the condition of a small sample size.

An improved fish deterrent and guide, utilizing generally a paddlewheel (1) consisting of a central shaft (10) with vanes (12) to create a behavioral modifier. When paddlewheel (1) is rotated, the action of the vanes striking the water creates water particle motion (low frequency sound or infrasound), turbulence and current, as well as visual cues that fish avoid. The device is tunable for different fish species and life stages by adjustment of vane style, spacing, and paddlewheel rotation speed. The use of multiple behavioral deterrents creates a measure of reliability in the system. Another advantage is that this fish deterrent provides a continuous lead, which is more effective than typical point-source turbulence and sound generators. Typically, the paddlewheel fish deterrent and guide is positioned at the water surface across the intake to a power plant intake to deter surface oriented downstream migrating fish, and guide them to a bypass. In this configuration floating debris is also guided through the bypass. Alternatively, the paddlewheel may be positioned at a subsurface elevation to guide non surface oriented fish to the bypass, or positioned across the tailrace to guide upstream migrating fish to a fishway entrance.

In order to design a battery online health state prediction model, quickly calculate a health state of a battery at any life stage based on partial battery charging data and realize accurate functionjudgment on the battery, the invention provides a lithium battery online health state fast prediction method based on voltage key characteristics. The lithium battery online health state fast prediction method comprises the steps of: step (1), conducting cyclic tests on lithium batteries in different life state based on cyclic test working conditions, so as to obtain full-life data of the lithiumbatteries; step (2), acquiring battery capacities and calculating a differential voltage, and further pre-selecting key eigenvalues; step (3), and training and testing a prediction model based on thepre-selected eigenvalues, and finally selecting an optimal model to perform lithium battery online health state prediction. The lithium battery online health state fast prediction method realizes theeffect of calculating the battery health states online based on few data, judges the battery performance accurately, and improves the working efficiency.

A computer-implemented mental and emotional life efficacy development system and method are disclosed which assist lay individuals to measure and improve their mental health and emotional capabilities and life skill deficits to increase the individual's ability to achieve life efficacy. A scoring subsystem measures competencies or deficits in a breadth of critical life skills. The system provides feedback concerning personality traits and mental and emotional deficits and compares the user's scores to the scores of those who are successfully navigating a particular life step. This pinpoints deficits for which the user can receive training and treatment tailored to that user's personality and individual difficulties. Through the collection and aggregating of such symptoms, a preliminary diagnosis is made of the user's mental health and life skills. This diagnosis is subsequently refined before it is used to offer emotion and/or mental health care treatment and life skills training for life efficacy competency.

A method for establishing standards of habitat suitability includes the steps: firstly, determining typical fish species needing to be researched and life stages of the typical fish species in a researched river reach, researching the life stages and life habits of key species, performing unit division for the researched river reach and acquiring river reach habitat data; secondly, by means of a multiple linear regression method, respectively establishing habitat suitability functions represented by habitat variables and the habitat suitability represented by species response, and obtaining the relation between the species response and the habitat variables by combining the habitat suitability functions and the habitat suitability; and finally, solving regression coefficients of the species corresponding to a habitat variable relational expression by means of a least square method, and obtaining the habitat suitability standards established by means of the multiple linear regression method. The method can take interaction among the habitat variables into consideration, and determines response of the species by means of accumulative effects of multiple environmental characteristics, so that simulated results are more reasonable.

The invention relates to a special method for testing the high throughput acute toxicity of an early life stage of fish, and belongs to the technical field of environment detection and assessment. According to the method, the sensibility of the fish at different life stages on toxic pollutants as well as the influence of conditions such as different quantities of test creatures, different exposed containers and the like on test results are discussed through developing a recombinant dilute solution for toxicity test, thus realizing high throughput on a larval fish acute toxicity test. The method is simple, convenient, economical, rapid and sensitive, has low requirements on experiment operation technical level, and is convenient for popularization and application.

Methods and systems for using masking properties for management of a dynamic identity template as a part of a marketing and sales program for universal life stage decision support. While masking private data, a user-defined template can be shared (pushed) to other networks, and template fields can be dynamically populated (pulled) from other networks; thus a template can grow in extensible dimensions, as well as become automatically updated. Also disclosed are techniques for be-friending based on identity template field matching, and for matching user's needs to service providers by collecting user input in profiles, creating multi-axis match objects from the profiles, and applying heuristics to create scored matches between profiles. Techniques include defining extensible profile fields, launching automated agents, and recording reported action. Users may create and manage permissions to permit other users or third party agents to populate both private and shared information in a user-defined identity profile.

The present invention belongs to a cultivation method of insects, and relates to an artificial cultivation method of gall aphid in extragall linving stage. Said method includes the following steps: selecting and using a transparent container, successively placing coarse sand, fine sand, humus soil and moss into said container, then placing seed aphid into said container with moss and soaking said container in the water, then taking out said container and draining, then placing the autum migrant aphid into the drained container, in the early spring and when the temperature is back risen to above 10 deg.C, allowing spring migrant aphid to naturally flit and migrate onto the gall tree, so as to implement artificial cultivation of gall aphid.

The invention discloses a limit model model training method, a limiting assessment method and device, equipment and a medium. The limit model training method comprises the following steps: screening original user data, and obtaining basic user data meeting a training standard, wherein the basic user data comprises a credit line, basic information data, basic asset data and basic consumption data;preprocessing the basic information data to obtain a corresponding life stage category; preprocessing the basic asset data to obtain a repayment capability level corresponding to the basic user data;preprocessing the basic consumption data to obtain a consumption capability level corresponding to the basic user data; marking the credit line, the life stage category, the repayment capability leveland the consumption capability level of the basic user data to obtain training data; training the training data by adopting a GBDT algorithm to obtain a pre-granted credit line model, and solving theproblem that the pre-granted credit line obtained through the pre-granted credit line model is inaccurate.

The invention discloses a method for predicating the embryotoxicity of non-steroidal anti-inflammatory drug type novel pollutants on an early-phase life stage of zebra fish. The method comprises the following steps: exposing zebra fish embryos in the non-steroidal anti-inflammatory drug type novel pollutants which have equal logarithm space concentrations; recording the death rate and the aberration rate of the zebra fish embryos 7 days after exposing; and calculating by using SPSS software to obtain corresponding LC50 and teratogenetic EC50, which are used for evaluating the toxicity of the non-steroidal anti-inflammatory drug type novel pollutants. With the adoption of the method, the toxicity feature and the toxicity level of the non-steroidal anti-inflammatory drug type novel pollutants are subjected to an analytical test and quantitative description; and meanwhile, the method also can be used as an index for monitoring and evaluating the wastewater biological toxicity of non-steroidal anti-inflammatory drugs, and reference is provided for risk predication and evaluation of the potential biological toxicity of the pollutants in a water body.

A system, computer program product, and method for activation-based marketing are presented. In one embodiment, the system includes one or more data storage devices configured to store demographic data, healthcare utilization data, and response data associated with a target individual. The system may include a server coupled to the one or more data storage devices. The server may be suitably programmed to determine a life stage associated with a target individual, determine an attitudinal segment associated with the target individual, and determine a response model associated with the target individual. The server may assign the target individual to at least one of a predetermined set of segmentation groups in response to the life stage, the attitudinal segment, and the response model associated with the individual. The system may generate a personalized communication modality tailored to the target individual in response to the segmentation group assigned to the target individual.