86 results about "Normal group" patented technology

A system protects against loss of communication during network attacks. In a first implementation, a system (120) models the behavior of normal users in a network in response to an application of a first packet filtering technique. The system (120) receives a group of packets from a first user subsequent to the application of the first packet filtering technique and creates one or more models reflecting the behavior of the first user based on the received packets. In another implementation, a system (130) receives a stream of packets subsequent to a filtering technique being applied, partitions the packets into groups, where each group corresponds to more than one packet, and classifies each group of packets as a normal group or an attack group using one or more models. Each model reflects a normal response to an application of the filtering technique. The system (130) forwards groups classified as normal groups, thus preventing network attacks from choking off all communication in the network.

An abnormality determining apparatus includes an information storing device that stores information, an information obtaining device that obtains information of a detection subject, a receiving device that receives abnormality presence/absence information indicative of the presence or absence of an abnormality in the detection subject detected by a user, a normal group data set constructing device that constructs a normal group data set that is a collection of normal data indicating that the detection subject is in a normal state based on the abnormality presence/absence information received by the receiving device and based on the information obtained by the information obtaining device during a preset period, and a determining device that determines the presence or absence of an abnormality in the detection subject by performing calculations based on the normal group data set stored in the information storing device and based on the information obtained by the information obtaining device.

The invention provides a method for evaluating the quality of a Chinese patent medicament by using metabonomics. The method comprises the following steps: 1) according to the indication of traditional Chinese medicines, establishing a corresponding animal model and screening; 2) taking various of samples of the traditional Chinese medicines, and intervening a disease model animal by a corresponding route of administration; 3) collecting a corresponding biological sample and acquiring the metabolism finger-print of the sample; 4) carrying out pattern recognition on the metabolism fingerprints of a normal group and a disease group to obtain a metabolism biomarker group; 5) calculating the similarity of the metabolism biomarker group and the normal group in different administration groups, or carrying out PLS (partial least squares) regression analysis on differential endogenous metabolites, and observing the influence of medicament treatment on the endogenous metabolites; and 6) according to the similarity result or the result of the PLS regression analysis, evaluating the medicaments, wherein the more normal the control group trends to be, the better efficacy of the medicament is.

A portable EEG (electroencephalograph) instrument, especially for use in emergencies and brain assessments in physicians' offices, detects and amplifies brain waves and converts them into digital data for analysis by comparison with data from normal groups. In one embodiment, the EEG electrodes are in a headband which broadcasts the data, by radio or cellular phone, to a local receiver for re-transmission and/or analysis. In another embodiment, the subject is stimulated in two modes, i.e., aural and sensory, at two different frequencies to provide the subject's EPs (Evoked Potentials), assessing transmission through the brainstem and thalamus.

The invention discloses a determination method of a urine metabolic marker for early diagnosis of diabetic nephropathy. The method mainly utilizes analysis technique and method such as gas mass spectrometry and mass liquid spectrometry for quantitative determination of endogenous small molecule compounds in urine of patients with diabetes and diabetic nephropathy; and relative concentration difference between endogenous small molecule compounds in a pathological group and a normal group is calculated and compared, so as to be applied to clinical early diagnosis of diabetic nephropathy. Compared with other existing clinical diagnosis indexes, the method has advantages of wide adaptation range, sensitivity, simple sampling and operation, and no harm on the body. The method is more suitable for screening of diabetic nephropathy in early stage with some uncertain physiological and biochemical indexes, so as to avoid missing of the best treatment time due to delayed diagnosis.

The invention discloses a blood flowing detection device and method. The detection device comprises an inflation pressure binding belt, a detection host, as well as a temperature sensor and a humidity sensor which are connected with the detection host; and the detection host comprises a control button, a switching voltage-stabilized power supply circuit, a singlechip microcomputer central control-processing unit, a preamplifier, an A/D (analog-to-digital) conversion circuit, a display and a buzzer. The detection method comprises the following steps: releasing restriction after a blood flow atthe proximal end of a heart is restrained for a certain period of time; measuring changes of skin temperature and humidity on a position at a distal end of the heart, and comparing the changes with the standard parameters of people with a normal blood flowing condition; determining whether a testee has vascular endothelial dysfunction or not; and evaluating the severity of early symptoms of cardiovascular sclerosis and hemodynamics of the testee. The detection device has the advantages of simple structure, low cost and convenience for operation, causes no trauma or pain, and can be used for routine physical examination and community general examination.

A plunger 66 is moved downwardly in predetermined distance while the tip of the sample probe 15 is immersed in a sample to suck the sample into the probe. A pressure sensor 26 detects the pressure fluctuation during the suction operation, an AD converter converting the signals into digital signals to send the signals for a signal processing unit 76. The signal processing unit 76 extracts feature variables data of a suction waveform to calculate the Statistical distance D from normal group data. The Statistical distance D an a threshold value th are compared with each other, it is judged that there is an abnormality in the suction operation when the Statistical distance D is more than or equal to the threshold value th. When the Statistical distance D is smaller than the threshold value th, an operation is proceeded to a discharge operation.

The invention provides a method for determining if a subject has atherosclerosis, including: determining an endogenous microRNA-195 expression level of a subject suspected of having atherosclerosis; and comparing the endogenous microRNA-195 expression level of the subject with an endogenous microRNA-195 expression level of a normal group, wherein an increase in the endogenous microRNA-195 expression level of the subject as compared to the endogenous microRNA-195 expression level of the normal group indicates that the subject has atherosclerosis.

The invention relates to a rapid treatment method for a phosphoproteome sample and develops a novel sample treatment method integrating cell splitting decomposition and protein enzymolysis by using the advantage that protein rapid enzymolysis can be promoted through high-concentration trypsin, and application of the novel sample treatment method in analysis of phosphoproteomics. Benefiting from the high-concentration trypsin, a deep mechanism of the cell splitting decomposition and the protein enzymolysis is promoted; a cell sample can finish rapid conversion of a peptide fragment mixture in one step; and in a phosphoeptide enriching process, a non-phosphorylated peptide fragment and other substances with incompatible mass spectrums can be removed. The rapid treatment method can realize the rapid conversion from cells to the peptide fragment by 25 minutes; in a contrast normal group, the simplest method also needs at least 16 hours; and a relatively good mass spectrum identification coverage rate of the contrast group is obtained through analyzing a HeLa actual cell sample, and the accuracy and the high efficiency of the sample pre-treatment method are proved.

The invention relates to an organic feed containing a taxol component with an anticancer function, which comprises the following components in percentage by weight: 5-38 percent of Chinese yew, 3-45 percent of pteridophytes and auxiliary materials. The feed not only has no chemically-synthesized addictive, but also combines taxol with the anticancer function with the pteridophytes, so that animals fed by the feed are healthy and strong, have strong activity and can be healthily and safely eaten by normal groups and cancer patients. The feed cannot cause splash, can indirectly and effectively prevent and treat cancer and promote the virtuous circle of ecological environment.

The invention discloses a vehicle regulation and control method based on dangerous traffic flow characteristics under a sunny condition. The method comprises a first step of obtaining traffic information in an accident road section; a second step of collecting accident group traffic data under a sunny condition; a third step of collecting normal group traffic data under the sunny condition; a fourth step of building a traffic flow data total sample; a fifth step of building an initial traffic accident probability relational expression; a sixth step of confirming a standardized traffic accident probability relational expression under the sunny condition; a seventh step of detecting probability of traffic accident occurrence of the road section under the sunny condition, and regulating and controlling vehicles; and an eighth step of repeating the seventh step, collecting a traffic flow parameter in a next set time T, and judging the probability of the traffic accident occurrence of the road section until detection is finished. The vehicle regulation and control method detects the probability of the traffic accident occurrence on freeways in real time, and regulation and control to vehicles are achieved, and number of traffic accidents is reduced.

The invention discloses a method for measuring serum metabolism markers in methylamphetamine abusers. The method mainly utilizes technologies and methods based on gas chromatography mass spectrum (GC-MS) and liquid chromatography mass spectrum (LC-MS) to quantitatively measure the endogenous small molecular compounds in methylamphetamine abusers' blood, then calculates and compares the relative concentration difference of the endogenous small molecular compounds between an abuser group and a normal group, and is used for actual diagnosis of abuse level of methylamphetamine. Compared to other conventional clinical diagnosis indexes, the method has the advantages of wide application area, high sensitivity, convenient sampling, simple operation, and no harm to organisms. The method solves the problem of shortage of clinical indexes for methylamphetamine abusers, and improves the efficiency of detecting methylamphetamine abusers.

A new combined index of structure and function (CSFI) for staging and detecting glaucomatous damage is provided. An observational study including 333 glaucomatous eyes (295 with perimetric glaucoma and 38 with preperimetric glaucoma) and 330 eyes of healthy subjects is described. All eyes were tested with standard automated perimetry (SAP) and spectral domain optical coherence tomography (SDOCT) within 6 months. Estimates of the number of retinal ganglion cells (RGC) were obtained from SAP and SDOCT and a weighted averaging scheme was used to obtain a final estimate of the number of RGCs for each eye. The CSFI was calculated as the percent loss of RGCs obtained by subtracting estimated from expected RGC numbers. The performance of the CSFI for discriminating glaucoma from normal eyes and the different stages of disease was evaluated by receiver operating characteristic (ROC) curves. The mean CSFI, representing the mean estimated percent loss of RGCs, was 41% and 17% in the perimetric and pre-perimetric groups, respectively (P<0.001). They were both significantly higher than the mean CSFI in the normal group (P<Q.0( )1). The CSFI had larger ROC curve areas than isolated indexes of structure and function for detecting perimetric and preperimetric glaucoma and differentiating among early, moderate and advanced stages of visual field loss. An index combining structure and function performed better than isolated structural and functional measures for detection of perimetric and preperimetric glaucoma as well as for discriminating different stages of the disease.

The invention discloses a method for building an animal model of social position induced depression, which belongs to the technical field of life sciences. The method comprises the following steps of: in natural colonies of non-human primates, recording total curling time, total spontaneous activity time and total external stimuli reaction time of each individual; dividing the total curling time of each individual into four equal parts, wherein the individuals with the shortest curling time are abnormal and others are depressive; performing independent sample t experiments on the hourly average spontaneous activity time and the hourly average external stimuli reaction time of the individuals of the two groups, wherein if the spontaneous activity time and the reaction time of the individuals of the normal group are obviously longer than those of the individuals of the depressive group, the individuals of the depressive group meet behavior characteristic requirements; and measuring hair cortisone content and partial cerebral blood flow values of the individuals of the two groups to perform the independent sample t detection, wherein if the average cortisone content of the individuals of the normal group is obviously lower than that of the depressive group and the average partial cerebral blood flow value of the individuals of the normal group is obviously higher than that of the depressive group, the individuals of the depressive group meet biochemical criterion requirements. The individuals who simultaneously meet the two types of requirements are the built natural depressive models, so the method can completely simulate the evolution of human depression.

The invention relates to a method for constructing a rat model which has liver cirrhosis and osteoporosis. Corn meal, rat feed meal and dried hen egg yolk are mixed to get A. Cholesterol is put into molten lard to get B. B is put into A to be mixed to get C. Sodium deosycholate is dissolved by water and mixed with C. Afterwards, the water is added into mixture and the mixture takes sticky. The sticky mixture is baked and cooled to obtain model composite feed. 26 male SD rats at SPF level are selected and are randomly divided into two groups, group A and group B. The group A is for the model of the liver cirrhosis and the osteoporosis, so the rats in group A are fed with the model composite feed. In the first week, the rats in group A drink the ethanol water of 5 percent. In the second week, the rats in group A drink the ethanol water of 8 percent and sesame oil solution containing the carbon tetrachloride of 40 percent is applied to the rats by subcutaneous injection by 1.3ml/kg for every other five days. After 40 days, the ret model which has the liver cirrhosis and the osteoporosis is made. The group B is a normal group for reference, so the rats in group B is fed with usual feed and drink water. During 40 days, physiological saline is applied to the rats in group B by 1.3ml/kg for every other five days.

The invention discloses a method of screening a marker of acute renal toxicity caused by aristolochic acid by utilizing cell metabolic profiling in vitro. The effective dose causing renal cell damage is determined by adopting a 3-(4,5-dimethylthiahiazo-2)-2,5-diphenytetrazoliumromide (MTT) staining manner. Renal cell metabolites are analyzed by adopting an ultra-high performance liquid chromatography-mass chromatography technique to obtain metabolic profiles. Metabolic profile data of normal groups and medicine damage groups are analyzed by adopting a multivariate statistic method. A potential renal toxicity marker is screened by combining a change rule of metabolites along with medicine acting time. The screened marker is good in predicting performance. The average accuracy of outer verification is 90% or above. The method comprehensively represents variation situations of metabolites of normal renal cells under medicine damages, and can provide technique supports for early diagnosis of renal toxicity caused by medicines or medicine safety evaluation.

A method for analyzing data of integrated circuit process and semiconductor process includes dividing products to be a normal group and an abnormal group according to result of on-line quality test, dividing said products to be a qualified group and a unqualified group according to result of yield test, defining mixture of unqualified group and normal group to be the first question group and mixture of unqualified group and abnormal group to be the second question group then analyzing two said question groups for identifying out main factor causing unqualification so as to raise product yield.

The invention discloses a diagnosis and/or typing marker for the PCOS (polycystic ovarian syndrome) and an application of the preparation reagent and particularly relates to an application of cyclic guanosine monophosphate, dehydroepiandrosterone sulfate, palm sphingomyelin combined HDL-C (high-density lipoprotein cholesterol) and the left follicle number as the diagnosis and/or typing marker for the PCOS. Compared with existing PCOS diagnosis clinical indexes, the marker can realize the effect of distinguishing a PCOS subgroup I and a PCOS subgroup II through combined diagnosis of cyclic guanosine monophosphate, dehydroepiandrosterone sulfate and palm sphingomyelin. In combination of combined diagnosis of HDL-C (high-density lipoprotein cholesterol) and the left follicle number, the very high diagnosis accuracy is realized for a normal group, the PCOS subgroup I and the PCOS subgroup II, and accurate and effective index systems are provided for clinical disease diagnosis.

The present invention relates to a composition for preventing or treating respiratory diseases, and more particularly, to a pharmaceutical composition, and to a health food, comprising extracts of herbal mixtures or fermented products thereof having lactic acid bacteria as effective ingredients for preventing or treating respiratory diseases, wherein the herbal mixtures comprise: Sophora flavascens, Radix glycyrrhizae, Flos Lonicerae, Angelicae Gigantis radix, Aralia continentalis, Inula helenium, Saposhnikoviae radix, Zizyphus spinosa, Houttuynia cordata, Forsythiae fructus, Arctium lappa, Herba epimedii, ginseng, Lithospermi radix, Sanguisorbae radix, Cnidii rhizoma, Scrophulariae radix, and Polygoni cuspidati radix. The herbal extracts or fermented products thereof having lactic acid bacteria exhibit the effects of significantly lowering an airway resistance value; reducing the numbers of leukocytes, neutrophilic leukocytes, lymphocytes, eosinocytes, and basophil leukocytes to levels similar to that of a normal group; and reducing the infiltration of inflammatory cells and eosinocyte cells near AHR on lung tissues. Therefore, the herbal extracts or fermented products thereof having lactic acid bacteria may be valuably used for the prevention and/or treatment of respiratory diseases such as asthma.

The invention provides a sub-site hand function rehabilitation evaluation method and device. The evaluation device comprises a multi-mode data acquisition module, a multi-mode data preprocessing module, a hand function evaluation index extraction and display module and a feedback module, the multi-mode data acquisition module comprises a pressure, tactile sense and sliding signal acquisition module and an inertia sensing data acquisition module, the multi-mode data preprocessing module comprises a pressure, tactile sense and sliding signal preprocessing module and an inertia sensing data preprocessing module, pressure, tactile sense and sliding signals are acquired by a sensor made of novel piezoelectric materials, sensor piezoelectric coefficients are measured, so that standards can be quantized, hand monition information is acquired by an inertia sensor, monition information of parts of portions of a hand can be quantized by the inertia sensor, the hand function evaluation index extraction and display module is used for extracting quantitative indexes for reach-to-grasp movement data according to a normal group, giving weight to comprehensive analysis indexes and making a rehabilitation evaluation scoring mechanism, and the feedback module is used for feeding back evaluation results.

The invention discloses a group message prompting method and apparatus, and belongs to the technical field of networks. The method comprises the following steps: obtaining a feedback record of historical group prompting information of a first user by at least one second user; based on the feedback record and first prompting frequency, determining second prompting frequency; determining whether the frequency of group prompting requests sent by the first user exceeds the second prompting frequency; if the frequency of the group prompting requests sent by the first user exceeds the second prompting frequency, rejecting the group prompting requests of the first user; and if the frequency of the group prompting requests sent by the first user does not exceed the second prompting frequency, according to the group prompting requests of the first user, sending prompting information to the at least one second user. Since the second prompting frequency can be adjusted according to whether other users in a group are disturbed, under the condition that other users are prevented from disturbance, it is ensured that normal group message prompts are not restricted, and the flexibility of the group message prompts is enhanced.

The invention discloses a self-repair algorithm for software multi-point faults. The algorithm includes 1, establishing an operating thread and a fault recovering thread, and performing fault grading on points with no response; 2, allowing the operating thread to maintain a normal operating group and a fault group; 3, allowing the operating thread to operate the normal group and place the points with no response into the fault group; 4, notifying the fault recovering thread to perform fault recovery when the operating thread is idle; 5, allowing the fault recovering thread to recover faults of the fault group according to fault grades by the greedy algorithm, delete recovered points from the fault group and place into the normal group; 6, allowing the operating thread to receive a client request and send a suspend request to the fault recovering thread, suspending the fault recovering thread, and recovering the operating thread for execution. On the premise of guaranteeing normal operation cycles, the fault points are recovered rapidly.