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74results about How to "Significant variability" patented technology

Controlled regional oral delivery

A composite formulation has been developed for selective, high efficacy delivery to specific regions of the mouth and gastrointestinal tract. The formulation is typically in the form of a tablet or capsule, which may include microparticles or beads. The formulation uses bioadhesive and controlled release elements to direct release to specific regions, where the drug is absorbed in enhanced amounts relative to the formulation in the absence of the bioadhesive and / or controlled release elements. This is demonstrated by an example showing delivery of gabapentin with a greater area under the curve (“AUC”) relative to the FDA reference immediate release drug, i.e., the AUC of the composite bioadhesive formulation is greater than 100% of the AUC of the immediate release drug. In the preferred embodiments, the formulation includes drug to be delivered, controlled release elements, and one or more bioadhesive elements. The bioadhesive polymer may be either dispersed in the matrix of the tablet or applied as a direct compressed coating to the solid oral dosage form. The controlled release elements are selected to determine the site of release. The bioadhesive components are selected to provide retention of the formulation at the desired site of uptake and administration. By selecting for both release and retention at a specific site, typically based on time of transit through the gastrointestinal tract, one obtains enhanced efficacy of uptake of the drug. This is particularly useful for drugs with narrow windows of absorption, and drugs with poor solubility such as the BCE class III and class IV drugs.
Owner:VAUNNEX

Modular microreaction system

A modular microreaction system comprising a housing and functional base modules accommodated therein. The housing has at least one fluid inlet and at least one fluid outlet. The base modules are arranged one behind another in a row in the housing and being designed such that fluid can flow successively through them in series. At least some of the base modules are constructed from a plurality of substantially rectangular foils having plate-like surfaces in essentially parallel planes which foils are connected to one another and are arranged in layers one above another, forming a foil stack. At least a first of the foils having at least one of microstructured channels, sensor elements, heating elements and combinations thereof on a plate-like surface of the at least a first of the foils. Each foil stack also has at least one foil which is provided on a plate-like surface of the at least one foil with channels which are constructed such that for one fluid line they lead from one side of the foil stack to another side of the foil stack. The base modules (2, 2′, 2″) each have at least one frame element (10), which is arranged essentially perpendicular to planes of the foils, and is connected to the foil stack in a fluid-tight manner and the foil stacks, together with the frame elements, form base elements that can be inserted into and removed from the housing (1) as a unit.
Owner:IMM INST FUR MIKROTECHNIK GMBH

Electronic switch for controlling a device in dependency on a sleep stage

An electronic switch for controlling a device (170) by switching a function of the device at least in dependency on a sleep stage of a human, the switch comprising an EEG data interface configured to receive brain activity data from an EEG sensor (120) configured to monitor electrical activity of the brain of the human during a training phase, an EEG sleep classifier (125) configured to classify sleep stages of the human from the received brain activity data, a body data interface configured to receive body activity data from an alternative sensor (30) configured to monitor a bodily function of the human both during the training phase and during a subsequent usage phase, the alternative sensor being different from the EEG sensor, an alternative sleep classifier (135) and a machine learning system (140), the machine learning system being configured to train the alternative sleep classifier (135) to classify a sleep stage of the human from the received body activity data, the learning system using sleep stages classified by the EEG sleep classifier (125) and concurrent body activity data received from the alternative sensor as training data, wherein in the usage phase the device (170) is controlled in dependency on sleep stages of the human classified by the alternative sleep classifier (135), and control logic (150) configured to at least determine that the classified sleep stage is one of a set of particular sleep stages and to switch a function of the device at least in dependency on said determination.
Owner:KONINKLJIJKE PHILIPS NV

Method for retarding agricultural non-point source pollution by applying biological carbon and nitrification inhibitor

The invention relates to a method for retarding agricultural non-point source pollution by comprehensively applying biological carbon and a nitrification inhibitor, belongs to the field of agricultural non-point source pollution research, and is dedicated to retarding non-point source pollution caused by nitrogen gas losses and subsequent atmospheric deposition in a paddy field and vegetable field ecosystem. According to the method, the biological carbon and the nitrification inhibitor are applied in fields of a rice-wheat crop rotation rice field and intensive vegetable cultivation ecosystem, therefore emission of gaseous nitrogen, such as N2O and NOx, is effectively reduced, and the atmospheric deposition is reduced to retard the non-point source pollution; the utilization rate and the yield of crops are increased, and nitrate nitrogen content of soil and migration of nitrate nitrogen to a water body are reduced to retard the non-point source pollution. The method is a brand-new, rapid, simple and efficient non-point source pollution retarding method, can be used for a wide variety of agricultural ecosystems, is convenient to operate and easily available in material, can be widely applied to prevention and control research on the agricultural non-point source pollution to paddy fields and vegetable fields, and provides an effective means for deeply researching the agricultural non-point source pollution.
Owner:NANJING AGRICULTURAL UNIVERSITY
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