A capacitive matrix suction sensor measures the matrix suction exhibited by a porous medium surrounding the sensor. The sensor is constructed from a capacitive moisture probe having a sensing body, and a jacket that encases the sensing body. The jacket is made of a hydrophilic, non-conductive, porous (HN-CP) material. In operation, the sensing body is energized, and the voltage produced is read. The matrix suction exhibited by the HN-CP jacket material is then computed based on the voltage, and an indicator of the current value of the matrix suction exhibited by the porous medium is established based on the matrix suction computed for the HN-CP jacket material.

A capacitive matrix suction sensor measures the matrix suction exhibited by a porous medium surrounding the sensor. The sensor is constructed from a capacitive moisture probe having a sensing body, and a jacket that encases the sensing body. The jacket is made of a hydrophilic, non-conductive, porous (HN-CP) material. In operation, the sensing body is energized, and the voltage produced is read. The matrix suction exhibited by the HN-CP jacket material is then computed based on the voltage, and an indicator of the current value of the matrix suction exhibited by the porous medium is established based on the matrix suction computed for the HN-CP jacket material.

Devices, systems and methods to directly quantify molecular entities and, compounds, inactive ingredients, compositions or formulations across and into specific layers of biological membranes, such as the skin. Exemplary methods enable the determination of the amount of drug into and across tissues as well as the measurement of the effect of chemicals/compounds on membranes, mainly the skin.

Provided are a water-absorbing resin having more excellent balance of fluid retention capacity, liquid permeability, and low dustiness and a novel measurement method which enables evaluation of excellent physical properties of the water-absorbing resin. A method for measuring an absorption speed of a particulate water-absorbing agent is a method including the step of applying pressure to a portion of a bottom surface of a measurement container (51) by use of a flat plate (52) in a state in which part or whole of the particulate water-absorbing agent (56) is fixed on the bottom surface of the measurement container (51), the bottom surface being surrounded by a frame, introducing an aqueous solution through a liquid injection inlet (54) with which the flat plate (52) is equipped, and then measuring the amount of time elapsed until an end of absorption of the introduced aqueous solution by the particulate water-absorbing agent (56).

Provided are a water-absorbing resin having more excellent balance of fluid retention capacity, liquid permeability, and low dustiness and a novel measurement method which enables evaluation of excellent physical properties of the water-absorbing resin. A method for measuring an absorption speed of a particulate water-absorbing agent is a method including the step of applying pressure to a portion of a bottom surface of a measurement container (51) by use of a flat plate (52) in a state in which part or whole of the particulate water-absorbing agent (56) is fixed on the bottom surface of the measurement container (51), the bottom surface being surrounded by a frame, introducing an aqueous solution through a liquid injection inlet (54) with which the flat plate (52) is equipped, and then measuring the amount of time elapsed until an end of absorption of the introduced aqueous solution by the particulate water-absorbing agent (56).

A convolutional neural network model distinguishes eyelash images, break-up area images, non-break-up images, sclera images and eyelid images corresponding to a first prediction score, a second prediction score, a third prediction score, a fourth prediction score and a fifth prediction score to respectively produce a first label, a second label, a third label, a fourth label and a fifth label, thereby a break-up area can be detected in a tear film image and a tear film break-up time can be quantized for detection.

A convolutional neural network model distinguishes eyelash images, break-up area images, non-break-up images, sclera images and eyelid images corresponding to a first prediction score, a second prediction score, a third prediction score, a fourth prediction score and a fifth prediction score to respectively produce a first label, a second label, a third label, a fourth label and a fifth label, thereby a break-up area can be detected in a tear film image and a tear film break-up time can be quantized for detection.

A plug for an osmometry sample cup or vial is provided that seals the sample cup or vial to prevent significant evaporation of a sample solution in the cup or vial prior to obtaining an osmolality measurement.

A plug for an osmometry sample cup or vial is provided that seals the sample cup or vial to prevent significant evaporation of a sample solution in the cup or vial prior to obtaining an osmolality measurement.

A convolutional neural network model distinguishes eyelash images, break-up area images, non-break-up images, sclera images and eyelid images corresponding to a first prediction score, a second prediction score, a third prediction score, a fourth prediction score and a fifth prediction score to respectively produce a first label, a second label, a third label, a fourth label and a fifth label, thereby a break-up area can be detected in a tear film image and a tear film break-up time can be quantized for detection.