Abstract: Tubular reactor for use in polymerization reactions having a design pressure PR of 40-65 barg. The reactor includes a tube with a wall, and at least a portion of the tube is oriented vertically, with at least part of the vertical portion being surrounded by a concentric jacket for the passage of cooling fluid. The design pressure in barg of the jacket PJ is less than 0.0018·PR2.25.

Abstract: A method of dynamic model selection for hybrid linear/non-linear process control includes developing a plurality of process models including at least one linear process model and at least one non-linear process model from inputs including dynamic process data from a processing system that runs a physical process. At least two of the plurality of process models are selected based on a performance comparison based on at least one metric, wherein the selected process models number less than a number of the plurality of process models received. A multi-model controller is generated that includes the selected process models. The physical process is simulated using the multi-model controller by applying the selected process models to obtain closed loop performance test data for each of the selected models. The performance test data is compared. A selected process model is then selected.

Abstract: A content recommendation method and system including providing a plurality of content items, the number of items designated as N, representing each of the N content items symbolically represented as a unique point on a two-dimensional plane, thereby associating an x and y coordinate with each one of the content items, changing the x and y coordinate of the unique point based on user requests for other content items besides the one of the N content items, determining a distance between the unique point and a multiplicity of points corresponding to a multiplicity of other content items, returning at least a first content recommendation to a user, the at least a first content recommendation including a content item associated with a point closer than any other point to a point associated with the content item presently being viewed by the user. Related methods and apparatus are also described.

Abstract: A computer-based apparatus and method for automated data screening and selection in model identification and model adaptation in multivariable process control is disclosed. Data sample status information, PID control loop associations and internally built MISO (Multi-input, Single-output) predictive models are employed to automatically screen individual time-series of data, and based on various criteria bad data is automatically identified and marked for removal. The resulting plant step test/operational data is also repaired by interpolated replacement values substituted for certain removed bad data that satisfy some conditions. Computer implemented data point interconnection and adjustment techniques are provided to guarantee smooth/continuous replacement values.

Abstract: A system and method for producing a bioabsorbable thermoplastic polyurethane tailored to a medical application are provided. The method includes identifying suitable thermoplastic polyurethane properties based on the medical application. The thermoplastic polyurethane comprises units derived from a diol chain extender, a diisocyanate, and a polyol. The thermoplastic polyurethane properties include a biodegradation rate and at least one physical property. The method includes identifying a base thermoplastic polyurethane and altering at least one parameter of the base thermoplastic polyurethane which relates to the desired thermoplastic polyurethane properties to generate a candidate thermoplastic polyurethane. The altering may be performed iteratively until the suitable range of thermoplastic polyurethane properties based on the medical application is met.

Abstract: A device for the collection and processing of information relating to the exposure of one or more persons to one or more products of chemical or biological origin has: at least one coded sensor for automatic or semi-automatic identification of a person likely to be exposed to at least one product, at least one coded sensor for the collection of information relating to the handling of at least one product by the person likely to be exposed to the product, at least one sensor for validating the information collected by the identification and collection sensors, at least one module for reading at least one coded sensor, and a module for processing information collected by the sensors.

Abstract: The invention is directed to methods for determining clonotypes and clonotype profiles in assays for analyzing immune repertoires by high throughput nucleic acid sequencing of somatically recombined immune molecules. In one aspect, the invention comprises generating a clonotype profile from an individual by generating sequence reads from a sample of recombined immune molecules; forming from the sequence reads a sequence tree representing candidate clonotypes each having a frequency; coalescing with a highest frequency candidate clonotype any lesser frequency candidate clonotypes whenever such lesser frequency is below a predetermined value and whenever a sequence difference therebetween is below a predetermined value to form a clonotype. After such coalescence, the candidate clonotypes is removed from the sequence tree and the process is repeated.

Abstract: Methods are provided herein for: calculating cell growth rates in various environments and genetic backgrounds; calculating the order of substrate utilization from a defined growth medium; calculating metabolic flux reorganization in various environments and at various growth rates; and calculating the maximum metabolic rate and optimal metabolite concentrations and enzyme activities by applying a computational optimization method to a kinetic model of a metabolic pathway. The optimization methods use intracellular molecular crowding parameters and/or well as kinetic rates to assist in modeling metabolic activity.

Abstract: A method for predicting onset of liquid phase to solid phase transition of a mixture including a plurality of fatty acid methyl esters components. The method includes identifying chemical and molecular structure of each component of the mixture, calculating activity coefficients for each component in a liquid phase and a solid phase, calculating chemical potential for each component in the liquid phase and in the solid phase at a predetermined temperature and a predetermined pressure, and calculating the cloud point of the mixture. A system for carrying out the method is also disclosed.

Abstract: A system and method for systematically generating potential metal-organic framework (MOFs) structures given an input library of building blocks is provided herein. One or more material properties of the potential MOFs are evaluated using computational simulations. A range of material properties (surface area, pore volume, pore size distribution, powder x-ray diffraction pattern, methane adsorption capability, and the like) can be estimated, and in doing so, illuminate unidentified structure-property relationships that may only have been recognized by taking a global view of MOF structures. In addition to identifying structure-property relationships, this systematic approach to identify the MOFs of interest is used to identify one or more MOFs that may be useful for high pressure methane storage.

Abstract: This invention provides a system and method of Advanced Process Control for optimal operation of multi-unit plants in large scale processing and power generation industries. The invention framework includes the following components: continuous real time dynamic process simulation, automatic coefficient adjustment of dynamic and static process models, automatic construction of transfer functions, determination of globally optimal operating point specific to current conditions, provision of additional optimal operating scenarios through a variety of unit combinations, and calculation of operational forecasts in accordance with planned production.

Abstract: The present invention relates to methods of measuring biomarkers to determine the probability of a periodontal and/or peri-implant disease. More specifically, the invention provides a panel of biomarkers that, when used in combination, can allow determination of the probability of a periodontal and/or peri-implant disease state with extremely high accuracy.

Abstract: A medical apparatus for extracorporeal blood treatment and a method for determining blood parameter value have been provided. The medical apparatus has a control unit (9) configured for taking from a storage memory (10) a plurality of blood parameter value measures each made through the sensors (8) provided on the bloodline set of each of a machines plurality at different patient treatment sessions; all the blood parameter values relate to the same patient; receiving at least a corresponding laboratory measured value of the same blood parameter relating to the same patient and a laboratory measurement time; determining a correction factor function of a difference between a measured value made though the sensor and a laboratory measured value; obtaining an actual value of said blood parameter by varying at least the last measure made through the sensor by means of the correcting factor.

Abstract: Apparatus for monitoring a substance in human or animal in real time, the apparatus comprising a sensor providing a time series of measurements of substance level, said measurements being indicative of an inferred level of said substance in a part of said human or animal and a processor which applies an interacting multiple model strategy to a system model to provide a combined estimate of the inferred substance level from the substance level measurements. The substance may be glucose. The apparatus may also be adapted to control said substance using said interacting multiple model strategy to a system model to provide a combined estimate of a dose to be applied.

Abstract: A computer having a memory stores instructions for receiving data. The data comprises one or more characteristics for each cellular constituent in a plurality of cellular constituents that have been measured in a test organism of a species or a test biological specimen from an organism of the species. The memory further stores instructions for computing a model in a plurality of models, wherein the model is characterized by a model score that represents the likelihood of a biological feature in the test organism or the test biological specimen. Computation of the model comprises determining the model score using one or more characteristics for one or more cellular constituents in the plurality of cellular constituents. The memory also stores instructions for repeating the instructions for computing one or more times, thereby computing the plurality of models. The memory also stores instructions for communicating computed model scores.

Abstract: An apparatus and method for generating a prescription form is disclosed. The method includes displaying a first menu containing a plurality of therapy menu items. The method also includes displaying a second menu containing at least one qualifier menu item. The method further includes displaying a third menu containing at least one drug menu item. The method includes, upon selection of a therapy menu item, a qualifier menu item, and a drug menu item, selecting a protocol including one or more patient specific pump parameters corresponding to the therapy menu item, the qualifier menu item, and the drug menu item. The method also includes displaying a prescription form including at least one of the one or more patient specific pump parameters.

Abstract: An apparatus is provided for causing a behavioral response in an insect species. The apparatus may include a housing, a radiating emitter, a directing apparatus, and a power source coupled to the radiating emitter. The radiating emitter may be configured to emit radiation at one or more wavelengths simulating an emission spectrum of a chemical compound of interest that may cause a behavioral response in the insect species. The directing apparatus disposed within the housing may be configured to control a direction of the emitted radiation and the power source may be configured to control an intensity of the emitted radiation.

Abstract: A system for conducting a real-time power capacity assessment of an electrical system is disclosed. The system includes a data acquisition component, a power analytics server and a client terminal. The data acquisition component is communicatively connected to a sensor configured to acquire real-time data output from the electrical system. The power analytics server is communicatively connected to the data acquisition component and is comprised of a virtual system modeling engine, an analytics engine and a machine learning engine. The machine learning engine is configured to store and process patterns observed from the real-time data output and the predicted data output, forecasting power capacity of the electrical system subjected to a simulated contingency event.

Abstract: Described and illustrated herein is an exemplary method of operating an analyte measurement device having a display, user interface, processor, memory, and user interface buttons. Such method can be achieved by measuring an analyte with the analyte measurement device, displaying a value representative of the analyte, querying a user to select a predetermined flag to associate the predetermined flag with the value, and pressing only one of the user interface buttons once to store the predetermined flag with the value in the memory of the analyte measurement device. In one embodiment, the testing device is a glucose meter and the analyte being tested is glucose.

Abstract: A sample analyzer comprising: a measurement section for measuring a sample of an animal; a memory for storing a measurement data by the measurement section; an analysis section for analyzing the measurement data stored on the memory in accordance with a first analysis condition corresponding to a previous setting of a species of an animal; and a selection receiver for receiving a selection of a species of an animal, which is different from the species of the previous setting, after analyzing the measurement data by the analysis section; wherein the analysis section analyzes the measurement data stored on the memory in accordance with a second analysis condition corresponding to the selection of a species of an animal when the selection receiver receives the selection of a species of an animal, is disclosed. A sample analyzing method is also disclosed.

Abstract: The present disclosure provides methods for determining the ploidy status of a chromosome in a gestating fetus from genotypic data measured from a sample of DNA from the mother of the fetus and from the fetus, and from genotypic data from the mother and optionally also from the father. The ploidy state is determined by using a joint distribution model to create a set of expected allele distributions for different possible fetal ploidy states given the parental genotypic data, and comparing the expected allelic distributions to the pattern of measured allelic distributions measured in the mixed sample, and choosing the ploidy state whose expected allelic distribution pattern most closely matches the observed allelic distribution pattern. In an embodiment, the mixed sample of DNA may be preferentially enriched at a plurality of polymorphic loci in a way that minimizes the allelic bias.

Abstract: A method for diagnosing a disease or pathological condition in a non-human animal. An ion mobility spectrometry measurement (IMS) or a differential mobility spectrometry (DMS) is carried out on a body sample from the animal to determine an amount of ions formed by at least two biogenic amines contained in the sample. A ratio is calculated of the amounts of ions formed by the different biogenic amines in the sample, wherein the ratio is indicative of the presence or absence of the disease or pathological condition.

Abstract: A computerized procedure for aligning molecules for use in CoMFA or other 3D QSAR methodologies does not rely on fragmentation of the molecules instead, aligning molecules based upon comparison to identified template molecules. Initially an anchor bond is identified in the candidate and template molecule that have similar atoms at each end of the bonds. Unlike prior art methods, the anchor bond need not be an acyclic bond. The candidate molecule is overlaid onto the template molecule by aligning the anchor bonds. Starting and working away from the anchor bond, matching atoms or atom types between the candidate and template molecule are identified. Multiple layers of atomic connections are evaluated for matches. The atoms may or may not be contained within ring structures. Once all matching atoms have been identified, the 3D coordinates of the template atoms are assigned to the corresponding atoms in the candidate molecule to place the candidate molecule into alignment.

Abstract: Methods and system to provide glycemic control and therapy management based on monitored glucose data, and current and/or target Hb1AC levels are provided.

Abstract: A health-monitoring device assesses the health of a user based on levels of two analytes in a biological fluid. A first analyte that is utilized to assess a user's health is a fat metabolism analyte, such as ketones, free fatty acids and glycerol, which is indicative of fat metabolism. A second analyte that is utilized is a glucose metabolism analyte, such as glucose. The levels of the two analytes may be used to assess insulin sensitivity, to detect both recent hypoglycemia and the cause of high glucose levels, and/or to guide therapeutic intervention. The dual analyte model may calculate a discrepancy between an actual insulin activity level and a theoretical insulin activity level. The dual analyte model of the present invention may be used to identify individuals at risk for metabolic syndrome, insulin resistance and non-insulin dependent diabetes, and allows monitoring of the progression of those disease states, as well as progress made by therapeutic interventions.

Abstract: A health-monitoring device assesses the health of a user based on levels of two analytes in a biological fluid. A first analyte that is utilized to assess a user's health is a fat metabolism analyte, such as ketones, free fatty acids and glycerol, which is indicative of fat metabolism. A second analyte that is utilized is a glucose metabolism analyte, such as glucose. The levels of the two analytes may be used to assess insulin sensitivity, to detect both recent hypoglycemia and the cause of high glucose levels, and/or to guide therapeutic intervention. The dual analyte model may calculate a discrepancy between an actual insulin activity level and a theoretical insulin activity level. The dual analyte model of the present invention may be used to identify individuals at risk for metabolic syndrome, insulin resistance and non-insulin dependent diabetes, and allows monitoring of the progression of those disease states, as well as progress made by therapeutic interventions.

Abstract: A system for monitoring a process determined by a set of process data in a multidimensional process data domain pertaining to process input-output data, the system comprising: means for acquiring a plurality of historic process data sets; means for obtaining a transformation from the multidimensional process data domain to a model data domain of lower dimension by performing multivariate data analysis; and means for transforming a current process data set to a model data set to monitor the process.

Abstract: Systems and methods for creating a model of composition for a current composite created by combining a plurality of hydrocarbon streams. The method comprises receiving at least one primary data value related to the current composite, associating the at least one primary data value with a profile of the current composite, selecting a modeling scenario for the current composite using a hierarchy of modeling scenarios, and creating a model of composition for the current composite using at least one processor, The modeling scenario is selected based at least in part on a collection of primary data values associated with the profile of the current composite. The model of composition is created based at least in part on the modeling scenario and the collection of primary data values associated with the profile of the current composite. Systems of creating the model of composition are also disclosed.

Abstract: Methods for method for increasing genetic gain in a breeding process are provided. Also provided are methods for choosing breeding pairs predicted to produce progeny having desired phenotypes, methods for increasing the likelihood of producing progeny individual having desired phenotypes, methods for generating progeny individual having desired genotypes and/or phenotypes, progeny produced thereby, and cells, seeds, parts, and tissues cultures thereof.

Abstract: A method of combinatorial optimization includes: (1) defining an objective function to optimize a combination of N input parameters of a complex system, wherein the objective function includes a weighted sum of n different optimization criteria, N?2, and n?2; (2) applying an initial combination of the N input parameters to the complex system to yield an initial output response; (3) executing an optimization procedure to generate an updated combination of the N input parameters, wherein executing the optimization procedure includes calculating an initial value of the objective function based on at least one of (a) the initial combination of the N input parameters and (b) the initial output response; and (4) applying the updated combination of the N input parameters to the complex system to yield an updated output response.

Abstract: The compositions and methods provided herein allow for identification of causative genetic biomarkers for a disease condition or drug response.

Abstract: A method for improving the prediction of polymer properties and a system having improved polymer property prediction capabilities is provided. The method for improving the prediction of polymer properties comprises: (1) providing a polymer; (2) providing a prediction model; (3) utilizing said prediction model to define an average polymer property prediction value; (4) determining a feasible range; (5) measuring one or more properties of said polymer; (6) determining whether said one or measured polymer properties are within said feasible range: (7) validating said one or more measured polymer properties if said one or more measured polymer properties fall within the feasible range or invalidating said one or more measured polymer properties if said one or more measured polymer properties fall outside of the feasible range; (8) optionally updating said prediction model; (9) repeating said previous steps at least one or more times; and (10) thereby improving the prediction of polymer properties.

Abstract: The present invention relates to a method of detecting coliform bacteria in water from reflected light, and also includes devices for the measurement, calculation and transmission of data relating to that method.

Abstract: A system for estimating a crop characteristic comprises a database, a plant growth model correlator, and a crop characteristic estimator. The database includes plant growth models for a plurality of fields. The plant growth model correlator is communicatively coupled with the database. The plant growth model correlator is configured for determining at least one harvested field with a first plant growth model which correlates with a second plant growth model for at least a portion of an unharvested field. The crop characteristic estimator is configured for estimating a crop characteristic for the unharvested field based on actual crop characteristic data obtained from the at least one harvested field.

Abstract: Methods and systems are disclosed for estimating a glucose level of a person having diabetes comprises. One method may comprise: receiving into a computing device a plurality of measured glucose results from a glucose sensor coupled to the person; using the computing device to analyze the plurality of measured glucose results with a probability analysis tool configured to determine a probability of glucose sensor accuracy based on the plurality of measured glucose results; and using the computing device to estimate a glucose level of the person with a recursive filter configured to estimate the glucose level based on the plurality of measured glucose results weighted with the probability of glucose sensor accuracy.

Abstract: Provided herein is technology relating to identifying unknown compounds and particularly, but not exclusively, to methods and systems for identifying unknown compounds by gas chromatography-mass spectrometry by use of retention index as a second dimension for identification.

Abstract: Systems and methods for MD simulation with significantly increased multithreaded parallelism. A substance body is divided into a plurality of cells. With respect to a current center cell, its neighbor particles can be partitioned into groups with groups processed in sequence by a dedicated CTA that comprises a plurality of warps. Within each CTA, each warp is assigned to process in parallel for a center particle in the center cell to calculate interaction forces between the center particle and the group of neighbor particles. Moreover different levels of the memory hierarchy in a system, including local memories, shared memories and global memory, are used to store intermediate and final results respectively.

Abstract: In the present invention, a simulation model for a filler mixed material is generated easily and in a short time using a computer. The present invention is a method for generating, using a computer, a filler mixed material simulation model in which a filler is dispersed and mixed in a matrix, wherein the method is characterized by comprising the following: a step (S1) for partitioning the simulation-model forming space into a filler region and non-filler regions, and determining the boundaries of those regions; a step (S2) for dividing the filler region into a finite number of elements and setting the filler model; a step (S3) for dividing the non-filler region into a finite number of elements; a step (S4) for setting as an interface model at least those elements, from among the elements of non-filler regions, that are in contact with the filler model; and a step (S5) for setting as a matrix model those elements, from among the elements of non-filler regions, that are outside the interface model.

Abstract: Methods for non-invasive prenatal ploidy calling are disclosed herein. Methods for determining the ploidy status of a chromosome in a gestating fetus from genotypic data measured from a sample of DNA from the mother of the fetus and from the fetus, and from genotypic data from the mother and optionally also from the father are disclosed herein. The ploidy state is determined by using a joint distribution model to create a set of expected allele distributions for different possible fetal ploidy states given the parental genotypic data, and comparing the expected allelic distributions to the pattern of measured allelic distributions measured in the mixed sample, and choosing the ploidy state whose expected allelic distribution pattern most closely matches the observed allelic distribution pattern. In an embodiment, the mixed sample of DNA may be preferentially enriched at a plurality of polymorphic loci in a way that minimizes the allelic bias.

Abstract: A photodynamic therapy system and methods determine the amount (concentration) of a photosensitizer agent present in the target tissue. The system may also determine the tissue oxygenation. The system may also determine light dosimetry parameters based on the amount of photosensitizer in the tissue and/or the tissue oxygenation.

Abstract: Functional imaging information is used to determine a probability of residual disease given a treatment. The functional imaging information shows different characteristic levels for different regions of the tumor. The probability is output for planning use and/or used to automatically determine dose by region. Using the probability, the dose may be distributed by region so that some regions receive a greater dose than other regions. This distribution by region of dose more likely treats the tumor with a same dose, allows a lesser dose to sufficient treat the tumor, and/or allows a greater dose with a lesser or no increase in risk to normal tissue. The dose plan may account for personalized tumors as each patient may have distinct tumors. Probability of dose application accuracy may also be used, so that a combined treatment probability allows efficient dose planning.

Abstract: An object of the present invention is to appropriately and easily evaluate a photosynthetic function of a photosynthetic sample contained in an evaluation sample. An evaluation method for photosynthetic sample according to the present invention is for evaluating a state of a photosynthetic sample with a photosynthetic function based on temporal data of a luminescence amount of delayed luminescence emitted from the photosynthetic sample. First, characteristic values that indicate characteristics are determined for a plurality of time periods in the temporal data. An evaluation value is then computed by weighting the characteristic values. The state of the photosynthetic sample is then evaluated based on the evaluation value.

Abstract: Continuous glucose monitoring (CGM) data and insulin delivery data are used to generate more reliable projected alarms related to a projected glucose levels. A memory stores endogenous data related to measurements of glucose level in a patient, and also stores exogenous data, such as insulin on board, both of which are used by a processor to create projected alarms. Profiles of CGM data are created for use in tuning patient-specific insulin data, such at basal rate, carb ratio, and insulin sensitivity. A processor searches for patterns in the data profiles and if found, recommended changes to patient-specific insulin data are provided to permit more accurate control over a patient's glucose levels.

Abstract: A system and method for evaluating drug data sets is provided. The system and method includes identifying when entries in a current data set differ from a data set comprising an aggregate of entries for a plurality of institutions, and prompting a user to determine if a change in the current data set should be changed. The system and method also identifies cases where different dose units are used for the same drug. A report is generated noting exceptions.

Abstract: The system and method described herein describe using a cross-linkable re-entrant software instances or routine to create software for modeling reactive transport. An arbitrary number of instances of such a routine may be launched and operated independently of each other and each instance of such a routine may be cross linkable. Each instance may access the memory space of other instances. Once one instance of a routine is linked to another instance, the instances may compute the rate at which mass and heat energy move from the first to the second, or vice versa. The system may model of a broad range of problems involving chemical reactions within systems that contain a mobile phase or phases.

Abstract: A mobile station and methods are disclosed for diagnosing and modeling site specific effluent treatment facility requirements to arrive at a treatment regimen and/or proposed commercial plant model idealized for the particular water/site requirements. The station includes a mobile platform having power intake, effluent intake and fluid outflow facilities and first and second suites of selectably actuatable effluent pre-treatment apparatus. An effluent polishing treatment array is housed at the station and includes at least one of nanofiltration, reverse osmosis and ion-exchange stages. A suite of selectively actuatable post-treatment apparatus is housed at the station. Controls are connected at the station for process control, monitoring and data accumulation. A plurality of improved water treatment technologies is also disclosed.

Abstract: A computer-implemented system and method for improving glucose management through cloud-based modeling of circadian profiles is provided. For each daily meal period, two sets of pre- and post-meal period data that include a blood glucose level and a diabetes medication dosing are stored into a circadian profile for a diabetic patient in a cloud computing infrastructure. Predicted blood glucose is modeled over the infrastructure and the access will be validated. A model, including expected blood glucose values and their predicted errors is created from the blood glucose levels in each profile and visualized in a log-normal distribution. Target ranges for blood glucose are determined and superimposed over the expected values. Pharmacodynamics of the medication are obtained. An incremental change in dosing of the medication is propagated over a model day and the expected blood glucose values and their predicted errors are adjusted in response to the incremental dosing change.

Abstract: A system and method include determining a state of a batch process. Historical segments are retrieved from a historical database of trajectories of the batch process as a function of the state of the batch process. A model is created as a function of the retrieved historical segments. The model is used to provide state information about the batch process and may then be discarded.

Abstract: A system and method of managing therapy provided to patients in an institution. The system monitors all aspects of the medication delivery to a patient, as well as other information related to the patient, such as values of vital signs, laboratory results and patient factors such as history, diagnosis, allergies and the like. The system includes one or more databases of information, including institutionally developed rules, guidelines and protocol representing the best medical practices of the institution. The system provides alerts and/or recommendations based on the application of the rules to the information being monitored, and alerts care givers accordingly, providing for dynamic adjustment of the patient's therapy. The system also monitors the status of the alerts, and if no action is taken in a selected period of time, may escalate the priority of the alert and/or halt the delivery of medication to the patient until the alert is resolved.

Abstract: A blood glucose meter and computer-implemented method for improving glucose management through modeling of circadian profiles is provided. For each daily meal period, two sets of pre- and post-meal period data are collected into a circadian profile and stored on a glucose meter, including a level of blood glucose of a diabetic patient and a dosage of diabetes medication. A model of predicted blood glucose for the patient is created from the blood glucose levels in each record as expected blood glucose values and predicted errors and visualized in a log-normal distribution. Target ranges for blood glucose at each meal period are determined and superimposed over the expected blood glucose values. Pharmacodynamics of the medication are obtained. An incremental change in dosing of the medication is propagated over a model day and the expected blood glucose values and their predicted errors are adjusted in response to the incremental dosing change.