Abstract: Instruments, methods, and kits are disclosed for performing fast thermocycling.

Abstract: Disclosed is the compound vitamin D3 phosphate and pharmaceutically acceptable salts thereof, pharmaceutical compositions comprising the compound and methods for preparing the compound. Also disclosed are methods of treating vitamin D deficiency using the compound. The compound is particularly suitable for transdermal delivery.

Abstract: A recyclable, laminated polyolefin-based film structure comprises two or more film plies laminated to each other. Each of the laminated film plies comprises one or more polyolefin-based films. The film structure has an energy-cured coating layer disposed on the outermost outward facing surface of the film structure and a printed ink layer on an interior surface of one of the polyolefin-based polyolefin layers. In certain embodiments, the outermost surface of the laminated polyolefin-based film structure has a melting temperature which is at least 100 degrees Celsius, and more preferably 180 degrees Celsius, higher than a melting temperature of the innermost surface of the laminated polyolefin-based film structure.

Abstract: A system, method, and computer-program product includes displaying a plurality of factor-setting user interface (UI) control elements configured to receive an input of characters for specifying a set of design of experiment factors for creating a design of experiment (DOE), displaying a plurality of factor type UI control elements configured to receive input for specifying a factor type of a plurality of factor types, displaying a plurality of dynamic rows of editable UI control elements configured to receive inputs of experimental values for the set of DOE factors, and displaying a composite factor UI control component configured to receive inputs for generating one or more control signals that add or remove one or more DOE factors of the set of DOE factors.

Abstract: Various aspects of the present disclosure are directed toward apparatuses, systems, and methods that may include a connector port subassembly. The connector port subassembly may include one or more connector blocks configured to interference fit within a connector bore, one or more windows through the core subassembly to the one or more connector blocks, and one or more seal rings configured to interference fit within the connector bore and eliminate adulterant entry into the connector bore through the one or more windows.

Abstract: A component for a vehicle interior may comprise a light guide to allow light transmission from a light source for a user interface, and a cover to cover the light guide. The user interface may be presented at the cover. The cover may comprise a depression in an inner surface of the cover and the light guide may comprise a projection comprising a light-transmissive resin fit within the depression. The projection may comprise an icon to be presented at the user interface when illuminated, and to be hidden by the cover when not illuminated. The user interface may comprise a light display and an input device connected to a sensor. The icon may comprise an image. The cover thickness may be greater than the projection height. The component may comprise a steering wheel, console, floor console, center console, instrument panel, door panel, dashboard, display, armrest, or cockpit.

Abstract: A computing device receives a target value for a design quality metric. The target value indicates a desired quality of a design of an experiment and is related to an input parameter by a response curve. The computing device also validates the target value as being in a feasibility range for the design quality metric, and if so, determines a candidate value for the input parameter that yields a calculated value for the design quality metric. To determine the calculated value, the computing device iteratively adjusts the candidate value until the calculated value is within a predetermined tolerance of the target value. The computing device then updates an interactive graph visually representing the calculated value for the design quality metric as a function of the candidate value for the input parameter and outputs a graph visually representing the relationship that exists between the candidate value and the calculated value.

Abstract: A computing device receives a target value for a design quality metric. The target value indicates a desired quality of a design of an experiment and is related to an input parameter by a response curve. The computing device also validates the target value as being in a feasibility range for the design quality metric, and if so, determines a candidate value for the input parameter that yields a calculated value for the design quality metric. To determine the calculated value, the computing device iteratively adjusts the candidate value until the calculated value is within a predetermined tolerance of the target value. The computing device then updates an interactive graph visually representing the calculated value for the design quality metric as a function of the candidate value for the input parameter and outputs a graph visually representing the relationship that exists between the candidate value and the calculated value.

Abstract: A computing device receives user input for a design of an experiment. The user input indicates respective factor identities for factors in the design of the experiment, respective response identities for responses to options for the factors in the design, and a user-defined objective for the one or more responses. Additionally, based on the user input, the computing device displays a subset of a set of multiple model types and a user-definable amount of design runs for the design. Each design run presents settings according to the design for each of the factors. The computing device also receives settings indicating a user-selected model type from the subset and a user-defined amount of design runs, and based on the settings, selects one or more design construction criteria for generating the design. The computing device then generates the design according to the design construction criteria.

Abstract: A computing device obtains first and second factors for a nesting design and first and second sets of candidate options for the first and second factors, respectively. The computing device also receives a nesting indication that the second factor is nested within the first factor. The computing device generates the nesting design by portioning the first and second sets of candidate options into respective first and second different sets of groups. Based on the nesting indication, the computing device generates an assignment of groups for a design, and also selects options in the nesting design for the first and second factors based on the assignment of groups. The computing device also generates terms for a computer model for a computer simulation of the nesting design, as well as one or more computer-generated assessments of the nesting design based on the computer simulation.

Abstract: A computing device obtains settings for a design of an experiment. The settings include a first sample size that indicates an amount of members for a first group observed as part of the experiment, a design quality metric that assesses, based on the first sample size, a quality of the design for the experiment prior to conducting the experiment, and a parameter pertaining to the first group. The computing device also displays first and second graphs of the design quality metric on a graphical user interface. The first graph is displayed as a function of the first sample size and the second graph is displayed as a function of the parameter pertaining to the first group. The computing device also receives a first user indication to change one or more of the settings, and then updates both the first and second graphs to account for the first user indication.

Abstract: A computing device obtains settings for a design of an experiment. The settings include a first sample size that indicates an amount of members for a first group observed as part of the experiment, a design quality metric that assesses, based on the first sample size, a quality of the design for the experiment prior to conducting the experiment, and a parameter pertaining to the first group. The computing device also displays first and second graphs of the design quality metric on a graphical user interface. The first graph is displayed as a function of the first sample size and the second graph is displayed as a function of the parameter pertaining to the first group. The computing device also receives a first user indication to change one or more of the settings, and then updates both the first and second graphs to account for the first user indication.

Abstract: An apparatus includes a processor to: generate variants of an experiment design based on varied parameters; for each variant, estimate terms based on the model, and derive an optimality value; present a table of the variants including a column for each varied parameter and a column for the optimality value, a row for each variant, and a bar graph for each column depicting a distribution of the values therein; present function controls operable to select a function to perform on row(s) of the table in response to selection of a bar of a bar graph of a column; in response to selection of a function, change the current function to the selected function; and in response to a selection of a bar of a bar graph of a column, perform the current function on row(s) based on instances of the value associated with selected bar.

Abstract: A connector apparatus for a medical device includes a cylindrical core of nonconductive material, a beam of conductive material, and a sleeve of conductive material. The cylindrical core includes an outside surface, an inside surface, a hollow center having a cross sectional area, and a slot opening in the cylindrical core extending from the outside surface to the inside surface. The beam is placed in the slot opening in the cylindrical core, wherein the beam reduces the cross-sectional area of the hollow center of the cylindrical core. The sleeve of conductive material is placed over the outside surface of the cylindrical core.

Abstract: An apparatus includes a processor to: present prompts guiding selection of first subset terms for estimation of variants of an experiment design based on a model thereof, and second subset terms for estimation using Bayesian modification; monitor for selections of term; in response to each change in the first subset terms, determine whether all first subset terms can be estimated based on the model; in response to the first subset including too many terms, present an indication of too many terms being selected for estimation based on the model; in response to the first subset including fewer terms than can be estimated based on the model, present an indication that more terms could be selected for estimation based on the model; and for each variant of the experiment design, estimate each first subset term based on the model, and estimate each second subset term using Bayesian modification.

Abstract: A pumping element comprises a first flow chamber; a second flow chamber in fluid connection with the first flow chamber, the second flow chamber including a shoulder; a check valve including a first insert and a second insert, the first insert being movable between a first position wherein the first insert forms a seal that inhibits fluid flow between the first and second flow chambers and a second position wherein the first insert permits fluid flow between the first and second flow chambers, the second insert being inserted into the second flow chamber to an extent limited by the shoulder; and a spring having a first end engaging the first insert and a second end engaging the second insert; wherein the first insert moves from the first position to the second position against a biasing force of the spring in response to pressurized fluid in the first flow chamber.

Abstract: An apparatus includes a processor to: present prompts guiding selection of first subset terms for estimation of variants of an experiment design based on a model thereof, and second subset terms for estimation using Bayesian modification; monitor for selections of term; in response to each change in the first subset terms, determine whether all first subset terms can be estimated based on the model; in response to the first subset including too many terms, present an indication of too many terms being selected for estimation based on the model; in response to the first subset including fewer terms than can be estimated based on the model, present an indication that more terms could be selected for estimation based on the model; and for each variant of the experiment design, estimate each first subset term based on the model, and estimate each second subset term using Bayesian modification.

Abstract: An apparatus includes a processor to: generate variants of an experiment design based on varied parameters; for each variant, estimate terms based on the model, and derive an optimality value; present a table of the variants including a column for each varied parameter and a column for the optimality value, a row for each variant, and a bar graph for each column depicting a distribution of the values therein; present function controls operable to select a function to perform on row(s) of the table in response to selection of a bar of a bar graph of a column; in response to selection of a function, change the current function to the selected function; and in response to a selection of a bar of a bar graph of a column, perform the current function on row(s) based on instances of the value associated with selected bar.

Abstract: A computing device receives a request for a design of a combinatorial test for a test system. The device receives a run indication of a total quantity of test cases for the design, a factor indication of a total quantity of factors, and/or a strength indication for a covering array. The device generates an updated design by: selecting test case(s) to remove from a first design; or adding test case(s) to the first design. The first design comprises a set of test cases that represent the covering array according to the strength indication. The updated design is constrained to the total quantity of test cases as indicated by the run indication. The device outputs a respective setting for each test condition for at least one test case of the updated design for testing the test system.

Abstract: Embodiments are directed towards managing personal inventory over a network. If item information associated with one or more items is provided to an inventory platform, such that the item information includes at least a location and a label identifier. If a request to transfer the one or more items to an off-premises storage station is provided, one or more scheduling options may be provided to an owner of the one or more items; collection instructions may be provided to a distribution organization, such that the collection instructions may be based on a scheduling option selected by the owner, the location of the one or more items, or the like; and if the one or more items may be transferred to the off-premises storage station, the location of the one or more items may be updated to indicate that they are stored at the off-premises storage station.