287 results about "Treatment strategy" patented technology

The present invention relates to acne and rosacea compositions by a six-prong synergistic combination treatment strategy that includes (1) control of excess sebum production, (2) control of undesirable bacteria or mites, (3) control of inflammation, (4) enhanced desquamation of follicular infundibulum cells, (5) reduction of irritation from anti-acne or rosacea compositions themselves, and (6) enhancement of the topical bioavailability of anti-acne and rosacea compositions. This is achieved by a synergistic combination of commonly utilized topical anti-acne and rosacea ingredients with a topical bioavailability enhancement composition, which results in enhanced anti-acne and rosacea action from such ingredients. Moreover, additional inclusion of an anti-inflammatory composition, and also a vascular micro-circulation enhancement composition, further results in synergistic superior anti-acne and rosacea benefits from such compositions. The present invention discloses additional surprising synergistic combinations for the control of acne and rosacea that are suitable for a variety of delivery systems and packaging forms.

The invention relates to the technical field of mining safe engineering, and particularly to a stability monitoring method for a cold high-altitude steep slope. According to the stability monitoring method, through field engineering geology, hydrogeology survey, engineering geological rock quality evaluation and rock mechanical parameter determining, the lithologic condition, the rock structure, the hydrogeology condition, the slope shape, earthquake parameters, explosion parameters and the like of the slope are determined. Slope stability analysis and a treatment strategy measure are performed. Furthermore a comprehensive monitoring system and a slope instability criterion are established.

Disclosed is a treatment planning method that can be used to maximize the effectiveness of minimally invasive treatment on a patient. Pursuant to the treatment planning method, the presence of lung disease, such as emphysema, is first identified, followed by a determination of the distribution and extent of damage of the disease, followed by a determination of whether the patient is suitable for treatment, and a determination of the appropriate strategy for treatment for a suitable patient.

A flexible system capable of utilizing data from different monitoring techniques and capable of providing assistance to patients with diabetes at several scalable levels, ranging from advice about long-term trends and prognosis to real-time automated closed-loop control (artificial pancreas). These scalable monitoring and treatment strategies are delivered by a unified system called the Diabetes Assistant (DiAs) platform. The system provides a foundation for implementation of various monitoring, advisory, and automated diabetes treatment algorithms or methods. The DiAs recommendations are tailored to the specifics of an individual patient, and to the patient risk assessment at any given moment.

A treatment strategy for treatment of elevated pressure in a body conduit, such as a pulmonary vein, with a prosthetic partitioning device for placement in and/or about pulmonary veins is described, as well as delivery systems, and strategies for use thereof. A control device is configured to transmit signals to the prosthetic device to effectuate the repetitive transition between a first, less restricted flow configuration and a second, restricted flow configuration are described. A sensor device may be provided for monitoring physiological parameters of the patient, and can provide signals to the control device for effectuating the transition between the first and second configuration.

A flexible system capable of utilizing data from different monitoring techniques and capable of providing assistance to patients with diabetes at several scalable levels, ranging from advice about long-term trends and prognosis to real-time automated closed-loop control (artificial pancreas). These scalable monitoring and treatment strategies are delivered by a unified system called the Diabetes Assistant (DiAs) platform. The system provides a foundation for implementation of various monitoring, advisory, and automated diabetes treatment algorithms or methods. The DiAs recommendations are tailored to the specifics of an individual patient, and to the patient risk assessment at any given moment. A central data exchange node or server collects patient data from individual DiAs devices and provides safety assurance, monitoring, telemedicine and database building for the DiAs system.

The invention discloses an image processing method, an image processing device and a mobile terminal. The method comprises the following steps of detecting at least one human face in an image, and acquiring facial characteristic information of each human face; matching a corresponding facial beautification processing strategy according to the facial characteristic information of each human face; and respectively carrying out facial beautification processing on each human face according to the matched facial beautification processing strategy. Therefore, the facial beautification treatment strategy in line with the human face is automatically matched according to the facial characteristic information of the human face in the image so as to carry out facial beautification processing, a complicated process that a user manually sets the facial beautification processing strategy for a to-be-processed image is omitted, and the operation efficiency and the intelligent level of the terminal are improved. Meanwhile, when a plurality of human faces exist in the image, differentiated facial beautification processing can be pertinently and respectively carried out on each human face so that final facial beautification effects conform to the characteristics of each human face in the image and all figures in the image are satisfied with the processing result, and the processing effect of the image is greatly improved.

A method for designing acid treatments provides for the selection of optimal treatment for well stimulation wherein reservoir characteristics are obtained to further select the reaction kinetic data on the minerals of interests, the treatment to the reservoir is scaled up using a mathematical model and real time damage are computed based on bottomhole pressure and injection rate and compared to that predicted by the mathematical model to adjust the treatment. The model generated facilitates optimization of matrix treatments by providing a rapid quantitative evaluation of various treatment strategies for a formation. Stimulation with non-traditional fluid recipes containing mixtures of inorganic and organic acids, and chelating agents can be readily computed. The computed values can then be used in an economic model to justify the additional costs associated with the use of the non-traditional fluids. Apart from optimizing matrix treatments, the method can be used as a development tool for new fluid systems, as a tool for prediction and removal of inorganic scale and for fluid compatibility testing such as that required in water flooding projects.

The invention discloses a solid state disk reading error detecting device and a method for detecting reasons for reading errors incapable of being corrected. Different treatment strategies are selected according to different reasons for the reading errors incapable of being corrected, therefore, it is guaranteed that the service life of Flash Page is longest, and the service life of SSD is prolonged.

The invention discloses a three-dimensional investigation method for a dangerous falling rock based on an air-borne laser radar. Original laser point cloud data and original video image data which cover an engineering zone and the initial exterior orientation elements of the original video image data are collected and processed to generate a DEM (Digital Elevation Model), a DOM (Digital Orthophoto Map) and a color laser point cloud. An index database is generated, the dangerous falling rock is recognized by information in the index database, the information factors of the dangerous falling rock are extracted to classify the hazard rate of the dangerous falling rock and provide a treatment strategy, and cross section lines required by a treatment design are extracted. The high-precision color laser point cloud, the high-precision DEM and the high-precision DOM are established by the advanced space-to-land observation technology based on the air-borne laser radar, the information extraction, quantitative analysis and risk evaluation of the dangerous falling rock are realized, and a novel method for surveying mountain hazards based on the air-borne laser radar technology is created.

The invention provides a method and a system for obtaining a four-dimensional blood vessel deformation behavior and in-vivo stress of a blood vessel wall. The method combines a three-dimensional image reconstruction technology and a discrete approximation theory to realize the big deformation behavior and the in-vivo stress of the blood vessel wall. The innovations of the invention are that the change of an anatomic form of healthy or pathological vessels in a cardiac cycle along with the time can be intuitively researched for a stent to intervene pre-operation evaluation and selection of a treatment strategy; a change condition of the in-vivo stress distribution of the blood vessel wall can be also provided for plaque rupture prediction and diagnosis, so that a new method is provided for quantitative description of kinematics characteristics of the blood vessel wall and the in-vivo stress of the blood vessel wall.

The invention provides a game theory based gray haze monitoring and early warning system which comprises a government data acquisition unit, an enterprise data acquisition unit, a citizen data acquisition unit, a grey haze data acquisition unit, a server, a database, an early warning device, a PC, and a mobile terminal. The method is performed as follows. The server and the database integrate the government data acquisition, the enterprise data acquisition, the citizen data acquisition and the grey haze data acquisition. Through the use of the server and the database to analyze the tripartite game mechanism among the government, the enterprise and the citizen and the internal influence mechanism of different data, early warnings and reference to gray haze evolution and management can be made possible. The invention can also formulate different management strategies according to the situation of the tripartite game and observe the effect of the grey haze treatment with different treatment strategies. With the early warning device, the PC and the mobile terminal, the grey haze monitoring and early warning can be reported to a user.

The invention covers a novel treatment strategy that considerably improves conventional probiotic treatments of inflammatory bowel diseases, irritable bowel syndrome and other gastrointestinal disorders. Both probiotic microorganisms and the carrier of the probiotic microorganisms in form of a fermented cereal gruel are used as treatment effectors. Phospholipids may also be an effecter. The novel treatment strategy is capable of removing the symptoms of inflammatory bowel diseases regardless of a mild, moderate or severe stage of the disease.

Epidemic propagation network modeling and inference based on autonomic computing comprise the following step: inferring a propagation network structure and biological parameters associated with epidemic from epidemic monitoring data by adopting a multi-autonomous modeled epidemic propagation network and an epidemic propagation process as well as monte carlo simulation and negative feedback mechanism. The invention provides a new method for monitoring and prevention and treatment of epidemics. Compared with the existing method, the method has the following major advantages that (1) an epidemic propagation network modeling method with wider adaptation range is provided; (2) an effective epidemic propagation network inference method is provided, and the epidemic propagation network structure and the biological parameter associated with the epidemic can be inferred from the epidemic monitoring data; and (3) the method provided by the invention can be used for epidemic risk assessment and validity verification of an epidemic prevention and treatment strategy.

The present invention relates to creating an all-inclusive methodology for data collection and analysis which can serve as a vehicle for pharmaceutical meta-analysis and creation of data-driven best practice guidelines, which represents the cornerstone of evidence based medicine. The present invention includes a number of unique components which record standardized_data throughout a multi-step and multi-stakeholder process, with the end result of creating a standardized method for creating, collecting, storing, communicating, and analyzing data related to the multi-step process of pharmaceutical administration in healthcare. In the course of doing so, a number of unique profiles are created which account for patient and provider differences, which are important in identifying compliance risk factors, causation, intervention, and treatment strategies.

Certain embodiments of the present invention provide for the detection and monitoring of multiple micro-scale neurological signals indicative of neurological state, neurological activity, and/or neuropathology. By examining such micro-scale neurological signals, a care provider may make more accurate differential diagnoses, identify the most efficacious treatment strategy, and/or track the efficacy of treatment. In some embodiments, analysis of micro-scale electrophysiological signals can be used in the diagnosis, treatment decisions, and monitoring of several neurological disorders, e.g. epilepsy, movement disorders, and psychiatric disorders. In some embodiments, different cortical areas can be mapped, for example, to define boundaries between healthy and/or pathological neural tissue.

This invention features our discovery on usages of Methylenetetrahydrofolate Reductase (MTHFR) gene polymorphisms in predicting homocysteine (Hcy) level and/or incidence and prognosis of diseases associated with increased Hcy level in a subject, as well as predicting treatment effects of medicines in the category of Angiotension Converting Enzyme Inhibihor (ACEI) with and without combination with B Vitamins. This invention also features our discovery on laboratory and analytical methods that are essential to the above described usages of MTHFR gene polymorphisms. In addition, this invention features a kit that has translated the above discoveries into a practical and reliable tool that can be applied to accomplish the above described usages of MTHFR gene polymorphisms. This invention represents an important step in realizing personalized medicine, with the goal to tailor diagnosis, prevention and treatment strategy to meet individual needs.

In the method, when terminal device reports message that executed task is failure to device management server, the device management server determines type of failure based on error id in the message, and executes treatment strategy corresponding to the type of failure. The invention also discloses a device management server. The device management server includes communication module, judgment module, and executive module.

It is disclosed here that HMG-CoA reductase inhibitors inhibit the proliferation and cause the death of breast cancer cells by inducing the expression of inducible nitric oxide synthase (iNOS) to promote intracellular nitric oxide formation, which the inventors found to be accomplished through the inhibition of protein geranylgeranylation. The disclosure here enables a new breast cancer treatment strategy that combines the inhibition HMG-CoA reductase or protein geranylgeranylation and the promotion of nitric oxide formation by iNOS.

The invention provides a water pollution treatment facility monitoring system and a water pollution treatment facility monitoring method based on the Internet, and belongs to the technical field of sewage monitoring. The problem that sewage supervision is difficult in the prior art is solved. The water pollution treatment facility monitoring system based on the Internet is composed of a cloud data center, a plurality of sewage monitoring terminals, and a remote monitoring center. Each sewage monitoring terminal comprises a data acquisition unit and a data identification unit connected with the data acquisition unit. The cloud data center is responsible for real-time data reception and data exchange. The remote monitoring center exchanges data with the cloud data center in real time through the Internet, acquires the operation parameters and states of the sewage monitoring terminals, and displays, does statistics of and reports the operation parameters and states in real time. The invention further provides the water pollution treatment facility monitoring method based on the Internet. A regional water environment pollution treatment strategy is formed through inductive analysis of big data of the cloud data center. Through the monitoring system and the monitoring method, the difficulty in sewage discharge supervision can be reduced.

The invention relates to application of triacetyl-3-hydroxyphenyladenosine (THPA) in preparing a medicament for treating atherosclerosis. The invention has the advantages of providing new application of the THPA, disclosing and quantitatively analyzing various activities of the THPA on resisting atherosclerosis lesion for the first time, providing new knowledge on the anti-atherosclerosis function of the THPA, and indicating that use of the THPA provides a new treatment strategy for treating the atherosclerosis.

The invention provides a state recognition and distinguishing method, device, and terminal. The method includes: S100 acceleration original data acquisition; S101 acceleration original data filtering;S102 general state distinguishing according to a filtering reference value; S103 abnormal state distinguishing based on a motion characteristic value in the filtering reference value; and S104 step-counting processing. The invention adopts certain methods, like lowpass filtering, Kalman filtering, energy analysis, frequency analysis and the like to process the acceleration data and extract corresponding acceleration data characteristics. Then, corresponding acceleration information is utilized to judge whether the obtained information is an abnormal situation, if in an abnormal situation, step-counting detection can be carried out, otherwise data can be collected again. The treatment strategy can significantly improve the step-counting precision of a pedometer.

Disclosed herein are methods and devices for detecting fluorescent molecules that are relevant to the health of the eye and related tissues. The presence of such molecules in the eye and related tissues can be used to diagnose whether the patient has certain diseases, including the macular degenerations and macular dystrophies. The amount of such molecules in the eye and related tissues can be used to determine the extent and stage of these diseases, to monitor the progress of these diseases, to design treatment strategies, to monitor the effectiveness of such treatments and to develop new therapies.