Abstract: The invention relates to calcium hydroxyapatite particles having been sintered at a certain temperature range and which are not treated at a temperature above this range. Furthermore, the present invention relates to an injectable composition comprising such particles and to uses thereof. Surprisingly, it was found that the particles of the invention are superior over calcium hydroxyapatite particles known in the art with respect to bio-stimulation.

Abstract: Provided herein are methods of producing TILs via (i) pre-REP stimulation with a combination of interferon gamma (IFN?) and an anti-PD-1 antibody, with or without a CD40 agonist, and with or without an anti-CTLA-4 antibody (ii) various concentrations of IL-15 and IL-21, with or without low-concentration IL-2, with or without an AKT inhibitor (AKTi) during REP expansion and/or pre-REP expansion, (iii) low-concentration IL-2 and an AKTi during REP expansion and/or pre-REP expansion, (iv) the combination of (i) and (ii), or (v) the combination of (i) and (iii).

Abstract: Exemplary embodiments of the present invention relate methods and devices for measuring flow rate of particulate matter within an exhaust gas stream. In one particular exemplary embodiment, a sensor for detecting and monitoring particulate matter within an exhaust flow path of an engine is provided. The sensor includes a housing having an attachment for mounting the sensor. The sensor also includes a sensing rod supported by an insulating base. The sensing rod is attached to the housing and includes a probe adapted to be placed within the exhaust flow path. The probe includes a section having an increased surface area per unit length as compared to at least one other section of the probe. The sensing rod is configured to detect particulate matter flowing through the exhaust component and generates a signal based thereupon. The sensor further includes an electrical connector in communication with the sensing rod.

Abstract: Exemplary embodiments of the present invention relate methods and devices for measuring flow rate of particulate matter within an exhaust gas stream. In one particular exemplary embodiment, a sensor for detecting and monitoring particulate matter within an exhaust flow path of an engine is provided. The sensor includes a housing having an attachment for mounting the sensor. The sensor also includes a sensing rod supported by an insulating base. The sensing rod is attached to the housing and includes a probe adapted to be placed within the exhaust flow path. The probe includes a section having an increased surface area per unit length as compared to at least one other section of the probe. The sensing rod is configured to detect particulate matter flowing through the exhaust component and generates a signal based thereupon. The sensor further includes an electrical connector in communication with the sensing rod.

Abstract: A process for curing a natural or synthetic rubber compound under a plurality of curing conditions by: (1) obtaining time dependent data streams of dielectric or impedance values from a non-bridged impedance sensing circuit and a capacitor having the rubber compound being cured as a dialectric; (2) determining impedance related measurements from the obtained data streams; (3) determining a predictive curing equation by performing a multiple regression between: (a) reheometric data obtained from a plurality of different rubber compound samples cured in a rheometer at various environmental curing conditions, and (b) corresponding samples cured in a production mold at the same environmental conditions; (4) adjusting the curing equation to obtain cured parts having one or more desired properties; and (5) controlling the mass producing cured parts with a controller that uses the curing equation for predicting a cure time for each part, wherein the predictions are effective over variations in the rubber compound, a

Abstract: A process for curing a natural or synthetic rubber compound under a plurality of curing conditions by: (1) obtaining time dependent data streams of dielectric or impedance values from a non-bridged impedance sensing circuit and a capacitor having the rubber compound being cured as a dialectric; (2) determining impedance related measurements from the obtained data streams; (3) determining a predictive curing equation by performing a multiple regression between: (a) reheometric data obtained from a plurality of different rubber compound samples cured in a rheometer at various environmental curing conditions, and (b) corresponding samples cured in a production mold at the same environmental conditions; (4) adjusting the curing equation to obtain cured parts having one or more desired properties; and (5) controlling the mass producing cured parts with a controller that uses the curing equation for predicting a cure time for each part, wherein the predictions are effective over variations in the rubber compound, a

Abstract: A process for curing a natural or synthetic rubber compound under a plurality of curing conditions by: (1) obtaining time dependent data streams of dielectric or impedance values from a non-bridged impedance sensing circuit and a capacitor having the rubber compound being cured as a dialectric; (2) determining impedance related measurements from the obtained data streams; (3) determining a predictive curing equation by performing a multiple regression between: (a) reheometric data obtained from a plurality of different rubber compound samples cured in a rheometer at various environmental curing conditions, and (b) corresponding samples cured in a production mold at the same environmental conditions; (4) adjusting the curing equation to obtain cured parts having one or more desired properties; and (5) controlling the mass producing cured parts with a controller that uses the curing equation for predicting a cure time for each part, wherein the predictions are effective over variations in the rubber compound, a

Abstract: A process for curing a natural or synthetic rubber compound under a plurality of curing conditions by: (1) obtaining time dependent data streams of dielectric or impedance values from a non-bridged impedance sensing circuit and a capacitor having the rubber compound being cured as a dialectric; (2) determining impedance related measurements from the obtained data streams; (3) determining a predictive curing equation by performing a multiple regression between: (a) reheometric data obtained from a plurality of different rubber compound samples cured in a rheometer at various environmental curing conditions, and (b) corresponding samples cured in a production mold at the same environmental conditions; (4) adjusting the curing equation to obtain cured parts having one or more desired properties; and (5) controlling the mass producing cured parts with a controller that uses the curing equation for predicting a cure time for each part, wherein the predictions are effective over variations in the rubber compound, a

Abstract: A process for curing a natural or synthetic rubber includes the measuring of curing conditions by dielectric or impedance means to produce a process curve (impedance property data versus time) followed by analyzing the process curve with a software algorithm which defines and statistically quantifies the correlation between the process curve and the desired part properties. The correlation relationship is applied in real time to end the curing process at the optimum time and to produce rubber parts of uniform quality and with reduced process cycle time.

Abstract: A process for curing a natural or synthetic rubber includes the measuring of curing conditions by dielectric or impedance means to produce a process curve (impedance property data versus time) followed by analyzing the process curve with a software algorithm which defines and statistically quantifies the correlation between the process curve and the desired part properties. The correlation relationship is applied in real time to end the curing process at the optimum time and to produce rubber parts of uniform quality and with reduced process cycle time.

Abstract: A process for curing a natural or synthetic rubber includes the measuring of curing conditions by dielectric or impedance means to produce a process curve (impedance property data versus time) followed by analyzing the process curve with a software algorithm which defines and statistically quantifies the correlation between the process curve and the desired part properties. The correlation relationship is applied in real time to end the curing process at the optimum time and to produce rubber parts of uniform quality and with reduced process cycle time.