49results about How to "Improve statistics performance" patented technology

Abstract of Disclosure A system and method used to assess animal behavior includes a module having sensors that collects a variety of physical and biological data from a test subject. Interpretation of the data is provided to assess the test subject's behavior, neurology, biochemistry and physiology. The module is useful in observing the effects of a drug on the test animal and providing information on the drug's signature. Another advantage is module's portability that allows it to be used in standard laboratory cages. This portability allows the animal to be tested in its own habitat, that can reduce any erroneous data due to stressing the animal when removed to a test cage. Additionally, the module's design allows for parallel data collection and interpretation from several laboratory animals undergoing different experiments. Multi-dimensional modeling of the test subject based the system's interpretation of the data allows pattern recognition of the drug signature, and predictive drug analysis.

A system for developing and implementing empirically derived algorithms to generate decision rules to predict subject noncompliance and fraud with research protocols in clinical trials allows for the identification of complex patterns of variables that detect or predict subject noncompliance and fraud with research protocol in the clinical trial. The present invention can also be used to monitor subject compliance with the research protocol to determine preferred actions to be performed. Optionally, the invention may provide a spectrum of noncompliance, from minor noncompliance needing only corrective feedback, to significant noncompliance requiring subject removal from the clinical trial. The algorithms and decision rules can also be domain-specific, such as detecting non-compliance or fraud among subjects in a cardiovascular drug trial, or demographically specific, such as taking into account gender or age which provides for algorithms and decision rules to be optimized for the specific sample of subjects being studied.

A system for developing and implementing empirically derived algorithms to generate decision rules to determine participant noncompliance and fraud with research protocols in clinical trials allows for the identification of complex patterns of variables that detect or predict participant noncompliance and fraud with research protocol, including performance and enrollment goals, in the clinical trial. The data may be used to overall predict the performance of any participant in a clinical trial, allowing selection of participants that tend to produce useful, high-quality results. The present invention can also be used to monitor participant compliance with the research protocol and goals to determine preferred actions to be performed. Optionally, the invention may provide a spectrum of noncompliance, from minor noncompliance needing only corrective feedback, to significant noncompliance requiring participant removal from the clinical trial or from future clinical trials. The algorithms and decision rules can also be domain-specific, such as detecting non-compliance or fraud among subjects in a cardiovascular drug trial, or demographically specific, such as taking into account gender, age or location, which provides for algorithms and decision rules to be optimized for the specific sample of participants being studied.

A method of evaluating and / or optimizing clinical outcomes and providing rational pharmacotherapy in an individual or animal requiring chronic drug therapy is provided.

A method of evaluating and / or optimizing clinical outcomes and providing rational pharmacotherapy in an individual or animal requiring chronic drug therapy is provided.

The present invention is designed to develop research protocols for clinical trials. The invention also can track and enhance subject compliance with a research protocol. The invention further provides evaluability data related to subject performance in the clinical trial. According to an alternative embodiment of the invention, a portable electronic device is used to query and collect data from the subject.

Abstract of Disclosure A system and method used to assess animal behavior includes a module having sensors that collects a variety of physical and biological data from a test subject. Interpretation of the data is provided to assess the test subject's behavior, neurology, biochemistry and physiology. The module is useful in observing the effects of a drug on the test animal and providing information on the drug's signature. Another advantage is module's portability that allows it to be used in standard laboratory cages. This portability allows the animal to be tested in its own habitat, that can reduce any erroneous data due to stressing the animal when removed to a test cage. Additionally, the module's design allows for parallel data collection and interpretation from several laboratory animals undergoing different experiments. Multi-dimensional modeling of the test subject based the system's interpretation of the data allows pattern recognition of the drug signature, and predictive drug analysis.

A method buffering packets in a packet switching network (FIG. 5) includes receiving a packet from the network; splitting the packet into a plurality of PDUs; stripping at least some of the PDUs over a plurality of memory banks; (18) retrieving the PDUs from the memory banks: and at least temporarily storing the retrieved PDUs in the sequence they are to be transmitted. An apparatus for implementing the method is also disclosed.

A system of granting credit to the client on line by financial enterprise comprises user power distribution and control module, credit application module, credit checking and issuing module, credit approval module, credit extending module, extension period approval module, ceiling return module, return back checking and issuing module, credit inquiry module, credit statistic analysing module and credit prewarning module. The system can be used as control system of credit approval operation within financial enterprises.

The embodiment of the present invention discloses a picture recommending method, apparatus and system. According to the embodiment of the present invention, tags with same, close or related semanteme are clustered to obtain clustered tags; then when picture recommendation needs to be carried out, picture information of a current picture is acquired; according to the picture information, a corresponding clustered tag set is acquired and according to the clustered tag set, a picture is selected to generate a candidate pool; and then a similarity between the current picture and each picture in the candidate pool is calculated and on the basis of the similarity, picture recommendation is carried out. According to the scheme, a matching ratio can be greatly improved, a statistical effect is strengthened, and a picture recommending effect is improved integrally.

The present invention relates to a method and an apparatus for simultaneously assessing the functional status of component parts of the nervous system by presenting sparse stimuli to one or more parts of the sensory nervous system. Sparse stimuli consist of temporal sequences of stimulus conditions presented against a baseline null stimulus condition, where the non-null stimulus condition, or conditions, are presented relatively infrequently. The low probability of encountering a stimulus differing from a baseline or null stimulus condition in sparse stimulus sequences insures that gain control mechanisms within the nervous system will increase the neural response magnitude and also bias the measured responses to those neurone populations having such gain controls. The consequently increased response amplitudes ensure more reliably recorded responses than are obtained with non-sparse stimuli.

The invention discloses a device and method for processing data. The device comprises a determination module, an acquisition module, a processing module and a counting module, wherein the determination module is used for determining each sub-counting time period according to preset counting duration; the acquisition module is used for acquiring user identities of online users in each sub-counting time period; the processing module is used for creating a bitmap corresponding to each sub-counting time period and setting bit sites corresponding to the acquired user identities to 1 in the created bitmaps; the counting module is used for counting the active user volume in the preset counting duration. According to the embodiments of the invention, the performance and efficiency of counting of the active user volume are improved, and the storage space is saved.

The invention discloses an accelerator X-ray dosage monitoring device in an X-ray radiation imaging system. The X-ray radiation imaging system comprises an accelerator X-ray source, a collimator for collimating X rays and a detection probe. The X-ray dosage monitoring device comprises an X-ray dosage monitoring probe, wherein X-ray dosage measured by the detection probe is corrected according to the X-ray radiation dosage monitored by the X-ray dosage monitoring probe. The X-ray dosage monitoring probe is arranged on at lease one side of a collimating slit of the collimator and is used for monitoring the dosage of the X rays radiated from an accelerator; and by changing the positions of dosage monitoring points, the dosage monitoring probe is arranged on the collimator, the monitoring probe is close to an accelerator target spot and the dosage rate of the accelerator received by the monitoring probe is high, so that data has high statistic properties. Simultaneously normal beams are not blocked, so the statistic properties of probe data of the detection probe are not reduced.

The invention belongs to the technical field of the network monitoring, and specifically relates to a monitoring system adopting a depth analysis way of the network operation and maintenance, and a method thereof. The monitoring system comprises a configuration unit, a data unit and an alarm unit; the configuration unit is used for configuring a parameter rule, and respectively sending the configured parameter rule to a collection client and an abnormity judgment unit; the data unit comprises the collection client, a transmission module and a data distribution module; the collection client isused for collecting data, and transmitting the collected data to the data distribution module through the transmission module; the data distribution module is used for distributing the received collected data to the abnormity judgment module to process; the alarm unit comprises an abnormity judgment module, an abnormity database and an alarm execution module; the abnormity judgment module is usedfor obtaining the abnormity information after analyzing the one piece of monitoring data according to an alarm rule, and sending the abnormity information to the abnormity database; and the alarm execution module is used for acquiring the information in the abnormity database and executing the alarm.

The present invention is designed to develop research protocols for clinical trials. The invention can track and enhance subject compliance with a research protocol. The invention further provides evaluability data related to subject performance in the clinical trial. According to an alternative embodiment of the invention, a portable electronic device is used to query and collect data from the subject.

Methods and systems for selecting a cohort group or a patient at risk from a population of patients with mild cognitive impairment. The methods include using a computer configured to perform the steps: receiving normalized learning data from a portion of the population of patients; tuning a set of decision trees on the normalized learning data; receiving patient data from one or more patients of the population, wherein the patient data is independent from the learning data; classifying the patient data with the tuned set of decision trees to obtain patient threshold values; and displaying the patient threshold values.

The invention relates to a system, a method and an apparatus for performing statistics on loading performance information of a page, and belongs to the field of data statistics. The method comprises the steps of obtaining loading time information when a terminal loads a specified page; sending the loading time information to a server; performing statistics on the loading time information sent by at least one terminal including the terminal by the server; and obtaining loading the loading performance information of the specified page. According to the scheme, a statistical result can indicate duration information of each stage in the whole page loading process, so that statistical information is richer, the problem of relatively single statistical information due to operation of performing statistics on only the total consumed time from the time of starting the loading of the page to the time of ending the loading of the page each time in the prior art is solved, and the purpose of improving the statistics effect of the loading performance information of the page is achieved.

The invention discloses an apparatus and method for realizing message statistics. The apparatus comprises an exchange module and a statistic information processing module. The exchange module is used for receiving a data stream message, carrying out parsing on the received data stream message to obtain statistic information, assembling the obtained statistic information into a statistic message, and sending the statistic message to the statistic information processing module. The statistic information processing module is used for carrying out statistic information processing on fields of the statistic message after receiving the statistic message sent by the exchange module. According to the invention, the statistic information processing module is arranged and is used for carrying out statistic information processing, so that the statistical capability of the data stream message of the system is improved on the premise that the forwarding performance of the exchange module is not influenced and the load of the exchange module is reduced. Moreover, the statistic information processing module with the external storage module is used, so that the capacity of the statistic information processing is improved and the diversified data stream control can be realized.

The invention discloses a method for generating pseudo-random numbers on the basis of cellular neural networks. By the aid of the method, problems of low pseudo-random number generation efficiency and poor statistical performance in the prior art mainly can be solved. The implementation scheme includes that the method comprises 1), generating random sequences P by the aid of the six-dimensional cellular neural networks and generating random sequences X by the aid of logic mapping so as to enhance the randomness of the random sequences; 2), respectively storing the generated random sequences P and X into two different matrixes and carrying out integer processing on data of the matrixes so as to extract the randomness of decimal portions of the data; 3), acquiring a novel matrix from the two different processed matrixes and generating 64 bits of the pseudo-random numbers by the aid of data in the novel matrix in each procedure. The method has the advantages that the pseudo-random number generation efficiency can be improved; requirements of international random number detection standards NIST SP800-22 can be met by the generated pseudo-random numbers, and the generated pseudo-random numbers can be used for secure communication.

Methods, systems and kits for the identification, assessment and / or treatment of a subject having multiple sclerosis are disclosed.

The invention discloses a network rating statistical method and device. The method includes the steps of obtaining the playing behavior records of a target played object in the target time period, obtaining the number of the initial rating times of the target played object, traversing the playing behavior records of the object played object in the target time period, obtaining the number of the playing start rating times at each moment in the target time period, and calculating the number of the rating times in the target time period according to the number of the initial rating times and the number of the playing start rating times. By means of the method and the device, the problem that the system performance is consumed in the rating time statistical process is solved.

The invention provides a method and device for improving the SSR violation-log statistical performance, and belongs to the technical field of computer safety. According to the method, violation-log data is written and stored based on a MongoDB database, and when violation-log statistics of SSR is carried out, the statistical performance is improved through a viewpoint of caching statistical results; when the statistical results are cached, segment caching is carried out according to the statistical results of different time interval lengths, and then according to query time periods set by a user, the cached statistical results of corresponding time periods are shown. When segment caching is carried out, uploaded violation logs or caching of the statistical results is counted according to the real time, the hour and the day respectively. According to the method and device, when a large quantity of violation logs are generated in the SSR, the statistical performance is improved, and userexperiences are improved.

The current invention relates to new tools and methods enabling neuroblastoma patient stratification into prognostic favorable or unfavorable groups. The invention is based on the re-analysis of published gene expression data-sets studying neuroblastoma tumors generating different prognostic gene lists. The overlapping gene lists were subsequently tested for their prognostic power on both the published tumor samples and on an unseen large set of unpublished samples, greatly increasing the statistical power of prognostic analyses. In addition, expression analysis of miRNAs in neuroblastoma tumors with different prognosis was performed. By doing this, the inventors could establish a neuroblastoma prognostic classifier with highly improved prognostic power, which is independent from the tumor sample set used to establish it. This classifier and its related prognostic tools and methods are thus perfectly suitable for routine clinical assessment of neuroblastoma prognosis.

The invention provides a method for measuring an average grain size of secondary recrystallization of an oriented silicon steel finished plate, wherein a shape of the grain is characterized by a circle, and the grain size is characterized by an average grain diameter. The method comprises the following steps of: macroscopically etching m pieces of oriented silicon steel finished plates having a size of a x b in solution; recording average grain numbers N of one piece of the oriented silicon steel finished plate; calculating an average grain area of the secondary recrystallization of the oriented silicon steel finished plate; determining a diameter D. The measuring method provided by the method for measuring the average grain size of secondary recrystallization of the oriented silicon steelfinished plate is simple, which has high accuracy, least error and wide application range.

The invention discloses an aggregation method for flow statistics, which includes the following steps: creating a setting table for aggregation control words, which contains hardware keywords; determining the hardware keywords required by the aggregation, configuring the setting table for aggregation control words according to the hardware keywords and obtaining the aggregation control words; and aggregating the flow statistics based on the aggregation control words and generating the corresponding items in the hardware flow statistical table. Through the embodiment of the invention, the hardware aggregation is achieved in the process of the hardware statistics, thus reducing the occupation of hardware resources on network devices and improving the processing ability for the new data flow and the statistical performance.