677 results about "Outbreak" patented technology

The method of the present invention derives the illness probability of any selected person from a database of people stored in a computer and / or on a computer network using collected relational data from every person in the database, including whether a person has a contact relationship with another person in said database and utilizes a database of illnesses infection probability functions given different illnesses and states of nature including data relating to social relationship; type of disease; probability function of infection given a time unit; length of contact of the particular contact relationship link; and calculates at least one relational path between said person and each person in the data base with whom there is a contact relationship, direct or via other persons in the said database for deriving the illness probability of the selected person. In addition. the method of the present invention permits selecting the optimum treatment for a patient with an infectious disease based upon recommending a drug or drugs deemed optimum for treating the patient and permits generating alerts for the detection of emergency events such as the outbreak of an infectious disease or a biological, chemical or nuclear attack and for diseases management. Moreover, in accordance with the method of the present invention a given patient may compare his or her medical record with summary information of patients with similar defined criteria.

A computer virus outbreak is detected by comparing one or more measurement parameters determined over a measurement period against a threshold level. The measurement parameters can include a measurement of how many E-mail messages are sent having an identical file attachment, file type or simply in total. The threshold levels may be varied with the time of day and day of week as well as the tests applied.

A system, method and computer program product are provided for preventing an outbreak of malicious code. First, malicious code is identified at a local location on a network. Information relating to the malicious code such as type, context, protocol, severity, reporting server, and IP address, is encrypted at the local location. The encrypted information relating to the malicious code is sent to a plurality of remote locations utilizing the network. Instances of the malicious code are blocked at the remote locations for a predetermined amount of time based on the information.

A system for processing emails incorporates means for dealing with previously unknown viruses. The system monitors email traffic patterns to identify patterns characteristic of a virus outbreak and takes corrective action when an outbreak is detected. Individual emails are analysed and, if any one of the constituent parts contains content in which it is possible to contain a virus, characteristic data derived from the email is logged to a database which is scanned for outbreak-indicating traffic patterns.

We present a data-driven system that seamlessly integrates the compilation of a diverse set of patient electronic medical records, family history, and environmental risk factor databases, a program that determines correlations and assigns weights through a neural network between illness and the state of symptoms, a program to create disease-specific questionnaires and content, a program alert that informs users of trends and potential illness outbreaks due to anomalous changes in regional or national symptom trends, and a program that enables medical practitioners to view patient-generated records and manage an online referral system. The automated diagnoses and alerts allow users to make informed and rapid medical treatment decisions.

A system for processing emails incorporates means for dealing with previously unknown viruses. The system monitors email traffic patterns to identify patterns characteristic of a virus outbreak and takes corrective action when an outbreak is detected. Individual emails are analysed and, if any one of the constituent parts contains content in which it is possible to contain a virus, characteristic data derived from the email is logged to a database which is scanned for outbreak-indicating traffic patterns.

A network level virus monitoring system capable of monitoring a flow of network traffic in any of a number of inspection modes depending upon the particular needs of a system administrator. The monitoring provides an early warning of a virus attack thereby facilitating quarantine procedures directed at containing a virus outbreak. By providing such an early warning, the network virus monitor reduces the number of computers ultimately affected by the virus attack resulting in a concomitant reduction in both the cost of repair to the system and the amount of downtime. In this way, the inventive network virus monitor provides a great improvement in system uptime and reduction in system losses.

A computer virus outbreak is detected by comparing one or more measurement parameters determined over a measurement period against a threshold level. The measurement parameters can include a measurement of how many E-mail messages are sent having an identical file attachment, file type or simply in total. The threshold levels may be varied with the time of day and day of week as well as the tests applied.

When a computer virus outbreak is detected, a predefined sequence of steps are automatically or manually followed using rule definitions, that may include office hours, to invoke anti-virus counter-measures. The counter-measures can include reducing virus notification, increasing scanning options, blocking E-mail attachments, hiding E-mail address books and the like. The predetermined sequence of actions may be varied with the time of day and day of week.

The present invention provides an integrated health care surveillance and monitoring system that provides real-time sampling, modeling, analysis, and recommended interventions. The system can be used to monitor infectious and chronic diseases. When faced with outbreak of an infectious disease agent, e.g., influenza virus, the system can identify active cases through pro-active sampling in high risk locations, such as schools or crowded commercial areas. The system can notify appropriate entities, e.g., local, regional and national governments, when an event is detected, thereby allowing for proactive management of a possible outbreak. The system also predicts the best response for deployment of scarce resources.

The present invention relates to monovalent influenza vaccine formulations and vaccination regimes for immunising against influenza disease, their use in medicine, in particular their use in augmenting immune responses to various antigens, and to methods of preparation. In particular, the invention relates to monovalent influenza immunogenic compositions comprising an influenza antigen or antigenic preparation thereof from an influenza virus strain being associated with a pandemic outbreak or having the potential to be associated with a pandemic outbreak, in combination with an oil-in-water emulsion adjuvant comprising a metabolisable oil, a sterol or a tocopherol such as alpha tocopherol, and an emulsifying agent.

The invention discloses a load balancing method and system facing mixed cloud application and a corresponding mixed cloud load balancing system. Aiming at the fact that a cloud tenant uses mixed clouds to calculate IaaS (infrastructure as a service) platform deployment application, the invention solves the problem of load balancing of the application under a multi-cloud environment. The system and method use a layered load balancing mechanism, load state information and resource state information of private clouds and public clouds are dynamically collected by a heartbeat packet at an upper layer, and issuing priorities of tasks to respective clouds are adjusted; at a lower layer, and LBaaS (load balancing as a service) internally provided form the clouds is used to perform load balancing among virtual machines. During outbreak of the cloud application, the public cloud with the highest cost performance can be selected for resource extension according to price fluctuation of the public clouds and the requirement of the cloud tenant on the minimal cost budget. According to the invention, the cloud tenant can be helped to customize application requirements per se when using the mixed clouds, and automatically select a cloud resource use scheme with the highest cost performance.

The present invention relates to monovalent influenza vaccine formulations and vaccination regimes for immunising against influenza disease, their use in medicine, in particular their use in augmenting immune responses to various antigens, and to methods of preparation. In particular, the invention relates to monovalent influenza immunogenic compositions comprising an influenza antigen or antigenic preparation thereof from an influenza virus strain being associated with a pandemic outbreak or having the potential to be associated with a pandemic outbreak, in combination with an oil-in-water emulsion adjuvant comprising a metabolisable oil, a sterol or a tocopherol such as alphatocopherol, and an emulsifying agent.

The present invention relates to monovalent influenza vaccine formulations and vaccination regimes for immunising against influenza disease, their use in medicine, in particular their use in augmenting immune responses to various antigens, and to methods of preparation. In particular, the invention relates to monovalent influenza immunogenic compositions comprising an influenza antigen or antigenic preparation thereof from an influenza virus strain being associated with a pandemic outbreak or having the potential to be associated with a pandemic outbreak, in combination with an oil-in-water emulsion adjuvant comprising a metabolisable oil, a sterol and / or a tocopherol such as alpha tocopherol, and an emulsifying agent.

The invention relates to a medical big-data acquisition and analysis system and method. The medical big-data acquisition and analysis method includes: installing a data acquisition unit at the place where medical data are acquired, and uploading the acquired data to an online medical acquisition platform; subjecting to the stored data to data processing; finding out a rule in the data; applying the data subjected to analysis to medical fields to carry out clinical decision and disease warning and analyze behaviors of patients. The medical big-data acquisition and analysis system comprises the online acquisition platform, an HDFS (hadoop distributed file system), an Hbase and a Hadoop frame, and is divided into four layers, namely a foundation layer, a platform layer, a function layer and a service layer. Staff health conditions can be acquired in real time, massive medical data are stored in a distributed manner, the massive data are analyzed rapidly by batch processing of big data, the clinical decision and disease warning are carried out, the behaviors of the patients are analyzed, multiple treatment schemes are put forward clinically, and early warnings are made for outbreaks of epidemic diseases.

The invention discloses a medicinal composition for treating gynecological inflammation, and belongs to the field of Chinese medicament. The medicinal composition consists of collagen and / or Chinese medicaments for releasing toxin and sterilizing such as collagen and lizardtail, glabrous greenbrier rhizome, Vietnamese sophora root and the like which are prepared into a plurality of dosage forms bycombining the prior art, and is mainly used for treating vaginitis, pelvic inflammation, urethritis and cervicitis diseases. The technical scheme overcomes the defects that the prior externally-applied preparations such as lotion, gel, suppository, ointment and the like have extremely slow response, longer disease course, repeated outbreak and the like, and creatively combines and applies the collagen and the Chinese medicament, can accelerate the healing of ulcer and erosion faces caused by the inflammation, and can greatly shorten the required time for tissue repair.

The invention discloses a fever epidemic situation monitoring and traceability cloud management system and method. According to the system, the identity of a detected object is recognized by a camera,a temperature measurement sensor is used to quick detect the body temperature, the body temperature data are transmitted to a cloud management server, and the data are saved to a corresponding detected object database; the associative group attributes of the detected object pre-stored in the cloud management server are used at the same time to detect all detected objects under the same associative group attributes, the number change condition of detected objects whose body temperatures exceed a set body temperature alarming threshold is counted, the state of the fever epidemic situation is thus quickly screened and judged, and corresponding help is provided for subsequent epidemic situation monitoring, traceability and control. According to the fever epidemic situation monitoring and traceability cloud management system and the method provided in the invention, the technical problem that the epidemic situation can only be known after the epidemic situation outbreaks in the prior art,epidemic situation control is not easy, communicable disease carriers can not be judged accurately, and the monitoring is caused not to be accurate can be overcome.

The invention features methods for preventing platelet activation and aggregation and for treating individuals suffering from conditions or undergoing procedures that may result in unwanted platelet aggregation. The methods are based on the intravenous, subcutaneous, or transdermal administration of a platelet activation or aggregation inhibitor, e.g., xemilofiban, followed by oral administration of the same or a different platelet activation or aggregation inhibitor. The treatment may commence prior to a medical or surgical procedure or after the outbreak of an adverse medical condition, either of which results in the activation of platelets that may lead to thrombus formation, and may continue thereafter.

Technique for early detection of localized exposure to an agent active on a biological population include collecting time series for each data type of multiple different data types. The data types are relevant for detecting exposure to the agent. For each data type multiple time series are collected for corresponding multiple locations associated with the data type. Measures of anomalous conditions are generated at the locations for each of the different data types. The measures of anomalous conditions are based on the time series and a temporal model for each data type. Cluster analysis is performed on the measures of anomalous conditions to determine an estimated location, and an estimated extent, of effects from the agent. The techniques allow a surveillance system to avoid diluting the signal of a localized outbreak over too large and area or consuming excessive resources in computing replicas for a matched filter detector.

One embodiment relates to an apparatus for in-the-cloud identification of spam and / or malware. The apparatus includes computer-readable code configured to be executed by the processor so as to receive queries, the queries including hash values embedded therein. The apparatus further includes computer-readable code configured to be executed by the processor so as to detect a group of hash codes which are similar and to identify the group as corresponding to an undesirable network outbreak. Another embodiment relates to an apparatus for in-the-cloud detection of spam and / or malware. The apparatus includes computer-readable code configured to be executed by the processor so as to receive an electronic message, calculate a locality-sensitive hash based on the message, embed the locality-sensitive hash into a query, and send the query to a central analysis system via a network interface. Other embodiments, aspects and features are also disclosed.

The present invention provides a method of predicting outbreaks in influenza virus comprising monitoring concentrations of small peptides having defined structure in influenza viruses, and in particular viral pathogens of shrimp.

The present treatment cocktail represents a dual mode topical treatment for the skin disease psoriasis. The composition contains at least an Analgesic Agent and a Drying Agent as selected from the group disclosed herein. The agents heal psoriatic plaques by promoting the exfoliation of existing psoriatic plaques and preventing additional plaque formation. Further, the dual mode action is useful to reduce the pain and itching associated with such plaques which results in less irritation and shorter outbreaks.

The present invention discloses an omnivorous fish feed, which comprises one or a plurality of materials selected from the following components: fish meal, wheat bran, corn germ meaL-so1, wheat-middlings, rapeseed meal, peanut meal, a composite vitamin premix, a traditional Chinese medicine combination additive, a mineral premix, and a feed binder, wherein the traditional Chinese medicine combination additive further comprises the following raw material drugs: indigowoad root, glossy privet fruit, tuckahoe, baikal skullcap root, weeping forsythia fruit, patrinia, szechwan lovage rhizome, heartleaf houttuynia herb, suberect spatholobus stem, salvia miltiorrhiza, prepared rhizome of rehmannia, dangshen, mongolian milkvetch root, oldenlandia and cortex moutan, the feed binder further comprises high strength flour and starch, a weight part ratio of the high strength flour to the starch is 5-6:4-5. According to the present invention, the Chinese herbals are adopted to prevent and treat fish diseases, such that requirements of pollution-free aquaculture development and green aquatic product production are completely met; the omnivorous fish feed of the present invention has characteristics of high water resistance and low scatter ratio; with the omnivorous fish feed of the present invention, absorption growth of omnivorous fishes and especially tiny fishes are easily achieved, fish taste is improved, outbreak of fish diseases can be significantly reduced, immunity of omnivorous fishes can be improved, safe and efficient farming can be ensured, and good economic benefits and social benefits are provided.

The invention relates to a planting method for organic rice. The method mainly comprises: soaking seeds, accelerating germination, raising rice seedlings, and transplanting rice seedlings 20-30 days before local rice planting time; in field preparation, turning under green manure, base fertilizer including biogas manure, fully decomposed yard manure and / or fully decomposed cake fertilizer; 10-20 days after rice transplanting, after seedlings stand, stocking ducklings, in peak of outbreak of rice planthoppers, adding a second batch of ducklings, in a rice heading flowering period, taking back the ducklings; in fertilization aspect, in addition to using green manure cooperating with farmyard manure base fertilizer, and dressing farmyard manure, the rest using wood vinegar; in pest control aspect, using field light traps and artificially propagating parasitic wasps, alternatively spraying the wood vinegar and garlic pepper solution. The method solves problems that yield of organic rice planting is not high, rice quality is not good, and plant diseases and insect pests are severe. The method is successful in plantation of ''sticky fragrance'', ''rice fragrance'', ''beautiful fragrant sticky'', and a Japan introduced variety ''Koshihikari''.

The invention discloses a method and device for constructing a biological information database. The method comprises the steps that according to a disease list, reference abstract resources related to a disease name are acquired from a network; each reference abstract is decomposed, so that abstract information containing abstract contents is acquired; gene and mutation information in the abstract contents is extracted and classified according to a gene list and a mutation regular expression semantic database, and classified results of each type are filtered and / or noted in combination with human genome reference sequences; a related word semantic database corresponding to the disease is established, and a gene mutation score is determined according to the related word semantic database; and data obtained at previous steps is arranged, and the biological information database is established. The method and device disclosed by the invention are characterized in that a biomedicine reference database is excavated by a text excavation algorithm, and mutation information and relations related to the disease are extracted from the database, so that the biological information database especially a human disease outbreak database which is based on research fronts, has comprehensive and reliable data and can be updated rapidly can be established.

A method is provided for automatically identifying a disease outbreak indicative of a potential bio-terror attack. Patient records are mined from structured and unstructured clinical sources. The patient records are then analyzed by correlating selected patient data contained in the patient records with disease indicia for each of a plurality of diseases. A probability of a disease outbreak is estimated at least in part based on these correlations. Suspicion may also be indicated if anomalous disease clusters are found. If any of the estimated probabilities exceeds a threshold value, a disease outbreak alert is outputted. The disease indicia may be defined by disease progression models, which may be stored in a disease knowledge base.

The invention discloses a green and safe waxberry planting method. The method comprises the three main steps of field planting, management after field planting and fertilization management. According to the green and safe waxberry planting method, due to the way, poison pesticide is not used, hormone and addition agents harmful to the human body are not used, and therefore waxberries can grow in a green and pollution-free environment; in addition, natural ingredients are used for preventing pests and outbreaks of waxberry tree pest diseases, the yield is increased on the premise of ensuring the quality of the waxberries, and the benefit is increased.

The invention discloses a nucleic acid combined testing kit of respiratory tract infection pathogens. The invention develops a set of primer-probe combinations which can detect multiple types of respiratory tract infection pathogens such as novel coronavirus, influenza virus a, influenza virus b, respiratory syncytial virus, human parainfluenza virus, adenovirus, mycoplasma pneumonia and chlamydiapneumonia through combination of a multiple fluorescence quantitative PCR technology and a flow-through hybridization and gene chip technology, wherein nucleotide sequences thereof are shown by SEQ ID NO:1-36 respectively. The nucleic acid combined testing kit of the respiratory tract infection pathogens is established. The kid can realize synchronous combined testing of the 8 respiratory tract infection pathogens, is high in detection accuracy, specificity and sensitivity, good in repeatability, low in false negativity and false positivity, short in detection time and low in cost, can realize comprehensive detection of a patient, can locate a disease source accurately, can realize treatment in time or make corresponding quarantine measures and is of important significance to effective control of respiratory tract infection and subsequent prevention of outbreak of relevant contagion and infection.