Abstract: Illumination devices for impinging light on tissue, for example within a body cavity of a patient, to induce various biological effects are disclosed. Biological effects may include at least one of inactivating and/or inhibiting growth of one or more pathogens, upregulating a local immune response, increasing endogenous stores of nitric oxide, releasing nitric oxide from endogenous stores, and inducing an anti-inflammatory effect. Biological effects may include upregulating and downregulating inflammatory immune response molecules within a target tissue. Wavelengths of light are selected based on intended biological effects for one or more of targeted tissue types and targeted pathogens. Light treatments may provide multiple pathogenic biological effects, either with light of a single wavelength or with light having multiple wavelengths.

Abstract: Illumination devices for impinging light on tissue, for example within a body cavity of a patient, to induce various biological effects are disclosed. Biological effects may include at least one of inactivating and/or inhibiting growth of one or more pathogens, upregulating a local immune response, increasing endogenous stores of nitric oxide, releasing nitric oxide from endogenous stores, and inducing an anti-inflammatory effect. Biological effects may include upregulating and downregulating inflammatory immune response molecules within a target tissue. Wavelengths of light are selected based on intended biological effects for one or more of targeted tissue types and targeted pathogens. Light treatments may provide multiple pathogenic biological effects, either with light of a single wavelength or with light having multiple wavelengths.

Abstract: Methods for flocculating solid particles in a provided suspension including specifying a target charge density of the suspension at which the solid particles flocculate; providing a flocculant having a charge density; determining, at a plurality of measuring times, the suspension charge density present in the suspension in the course of a titrimetric analysis, measuring the flow potential; determining, at respective of the measuring times, a quantity of the flocculant needing to be added to ensure optimal flocculation based on the target charge density, the flocculant charge density, and the suspension charge density present at the respective measuring time; and subsequently adding the determined quantity of flocculant into the suspension; and systems therefor. The methods and systems can provide the actual demand of flocculant needed for efficient flocculation in a continuous flocculation method of a suspension.

Abstract: A method for evaluation of faulty behavior of at least one event-data-generating machine including a data logging device for providing event data, comprising: transferring logged event data, the logged event data representing a sequence of events, from the event-data-generating machines to a central processor, mining multi-dimensional sequential patterns and/or mining multi-dimensional sequential rules and/or mining anomalies and/or exceptions within the transferred event data wherein the event data additionally comprises at least one dimensional attribute holding information indicating the event-data-generating machine or at least one event-data-generating machine property; the difference between timestamps of first and last events included in an identified sequential pattern and/or sequential rule and/or anomaly and/or exception may not exceed a predefined time window; and storing at least one reference sequential pattern, sequential rule and/or anomaly and/or exception as an output of the mined multi-dimen

Abstract: A method for evaluation of faulty behavior of at least one event-data-generating machine including a data logging device for providing event data, comprising: transferring logged event data, the logged event data representing a sequence of events, from the event-data-generating machines to a central processor, mining multi-dimensional sequential patterns and/or mining multi-dimensional sequential rules and/or mining anomalies and/or exceptions within the transferred event data wherein the event data additionally comprises at least one dimensional attribute holding information indicating the event-data-generating machine or at least one event-data-generating machine property; the difference between timestamps of first and last events included in an identified sequential pattern and/or sequential rule and/or anomaly and/or exception may not exceed a predefined time window; and storing at least one reference sequential pattern, sequential rule and/or anomaly and/or exception as an output of the mined multi-dimen

Abstract: A method of estimating an expected service life of a component of a machine includes recording process data of the machine that are detected by the machine on the carrying out of a cyclic workstep. The detected data are transmitted to a database that analyzes the data stored in the database for failure patterns in accordance with a failure pattern catalog to estimate the expected service life of the component, and a communication is output on a location of a recognized failure pattern in the analyzed data.

Abstract: The present disclosure is related to a method for monitoring at least one event data generating machine, including a data logging device for providing event data. The method comprises transferring logged event data from at least one of the event data generating machines to a central processor, mining a multi-dimensional sequential pattern within said transferred event data wherein at least one dimensional attribute holds information indicating said event data generating machine or the at least one event data generating machine property, and matching said mined multi-dimensional sequential pattern with patterns stored in a central pattern database.

Abstract: The present disclosure is related to a method for monitoring at least one event data generating machine, including a data logging device for providing event data. The method comprises transferring logged event data from at least one of the event data generating machines to a central processor, mining a multi-dimensional sequential pattern within said transferred event data wherein at least one dimensional attribute holds information indicating said event data generating machine or the at least one event data generating machine property, and matching said mined multi-dimensional sequential pattern with patterns stored in a central pattern database.