Using whole blood viscosity (WBV) data collected at various shear rates in conjunction with other clinically relevant informationsuch as age, gender, and other medical history informationone can generate information indicative of a current or physiological condition of a subject. Such generation can be accomplished using machine learning, such as a trained algorithm. One can also train an algorithm using WBV and other clinically relevant information. The described approaches allow for early detection and treatment of conditions, such as sepsis, as well as the evaluation of a treatment or treatments administered to a patient in need.

Using whole blood viscosity (WBV) data collected at various shear rates in conjunction with other clinically relevant informationsuch as age, gender, and other medical history informationone can generate information indicative of a current or physiological condition of a subject. Such generation can be accomplished using machine learning, such as a trained algorithm. One can also train an algorithm using WBV and other clinically relevant information. The described approaches allow for early detection and treatment of conditions, such as sepsis, as well as the evaluation of a treatment or treatments administered to a patient in need.

A rheometer for determining and/or monitoring the flow behavior of viscous fluids, in particular plastic melts and plastic solutions, includes a housing, in which at least one substantially rectilinear channel is formed between an inlet opening and an outlet opening, the channel having a rectangular cross section, and a plurality of pressure measuring devices which are arranged along the channel, wherein the channel is provided over its length with a cyclically narrowing and widening cross section.

A rheometer for determining and/or monitoring the flow behavior of viscous fluids, in particular plastic melts and plastic solutions, includes a housing, in which at least one substantially rectilinear channel is formed between an inlet opening and an outlet opening, the channel having a rectangular cross section, and a plurality of pressure measuring devices which are arranged along the channel, wherein the channel is provided over its length with a cyclically narrowing and widening cross section.

The present invention relates to a method for evaluating an injection physical property of a plastic resin, and a polyethylene resin suitable for an injection molding process and, more particularly, to a novel method for evaluating an injection physical property of a plastic resin, which, when a particular plastic resin is processed by an injection process, can accurately derive injection suitability of the plastic resin and injection pressure in the injection process through a physical property value measured by using a resin specimen, and a polyethylene resin suitable for injection molding.

The present invention relates to a method for evaluating an injection physical property of a plastic resin, and a polyethylene resin suitable for an injection molding process and, more particularly, to a novel method for evaluating an injection physical property of a plastic resin, which, when a particular plastic resin is processed by an injection process, can accurately derive injection suitability of the plastic resin and injection pressure in the injection process through a physical property value measured by using a resin specimen, and a polyethylene resin suitable for injection molding.

The present disclosure provides improved viscosity measuring assemblies, and related methods of use. More particularly, the present disclosure provides advantageous measuring assemblies configured to measure the viscosity of samples/fluids (e.g., opaque or transparent liquids) using microchannels. The present disclosure provides for a viscosity measuring assembly (e.g., hand-held electronic measuring assembly) that is configured to measure the viscosity of samples/fluids (e.g., opaque or transparent Newtonian and non-Newtonian liquids, including blood, etc.), in a short period of time (e.g., within a couple of minutes) utilizing only about a droplet of fluid. The viscosity measuring assembly can include a substrate having a microchannel, a light source (e.g., a collimated low coherence light source), and a sensor (e.g., photodiode). The micro-channeled substrate may be disposable, and some of the other components may be reusable since they are substantially not directly exposed to the sample during operation of the viscosity measuring assembly.

The present disclosure provides improved viscosity measuring assemblies, and related methods of use. More particularly, the present disclosure provides advantageous measuring assemblies configured to measure the viscosity of samples/fluids (e.g., opaque or transparent liquids) using microchannels. The present disclosure provides for a viscosity measuring assembly (e.g., hand-held electronic measuring assembly) that is configured to measure the viscosity of samples/fluids (e.g., opaque or transparent Newtonian and non-Newtonian liquids, including blood, etc.), in a short period of time (e.g., within a couple of minutes) utilizing only about a droplet of fluid. The viscosity measuring assembly can include a substrate having a microchannel, a light source (e.g., a collimated low coherence light source), and a sensor (e.g., photodiode). The micro-channeled substrate may be disposable, and some of the other components may be reusable since they are substantially not directly exposed to the sample during operation of the viscosity measuring assembly.

A slurry analysis system (14) for estimating a first characteristic of a slurry (12) having a plurality of particles (18) suspended in a dispersion medium (20) can include a flow restriction assembly (40); a sensor assembly (43) that senses a sensed condition of the slurry (12) as it flows through the flow restriction assembly (40); and a control and analysis system (26) that estimates the first characteristic of the slurry (12) based on the sensed condition. Further, the control and analysis system (26) can select a selected clogging behavior using the sensed condition, and estimate the first characteristic based on the selected clogging behavior.

A method of measuring a fluid's viscosity may include: flowing the fluid through a conduit wherein the conduit comprises shear stress sensors operable to measure shear stress on a wall of the conduit; measuring shear stress using the shear stress sensors; and calculating a viscosity of the fluid based at least in part on the measured shear stress.