A method for discriminating a polyvinyl alcohol resin film containing a polyvinyl alcohol resin in which all or a part of carbon is derived from bio-derived ethylene from a polyvinyl alcohol resin film containing only a polyvinyl alcohol resin derived only from fossil fuel-derived ethylene by measuring an abundance ratio .sup.14C/C of carbon 14 (.sup.14C) in total carbon.

The present invention relates to a jig for evaluating a buffer pad. The jig includes a first plate configured to be positioned on one surface of the buffer pad and configured to press the buffer pad; a second plate configured to be positioned on another surface of the buffer pad and configured to press the buffer pad from the other surface; and a magnet member configured to be positioned between the first plate and the second plate. A recessed portion, which is recessed to allow the magnet member to be disposed, is defined at an edge of at least one of the first plate and the second plate.

A PVA film containing PVA that does not increase carbon dioxide existing in the global environment or has a small increase amount even when carbon dioxide is generated by a biodegradation treatment or an incineration treatment. A polyvinyl alcohol resin film having a polyvinyl alcohol resin with an abundance ratio of carbon 14 in total carbon constituting the polyvinyl alcohol resin of 1.0×10.sup.−4 or more. A method for discriminating a polyvinyl alcohol resin film, the method including discriminating a polyvinyl alcohol resin film containing a polyvinyl alcohol resin (Ab) in which at least part of the carbon is derived from bio-derived ethylene.

A process of utilizing a water-sensitive fluorophore for moisture content evaluation in a hygroscopic polymer includes forming a blend that includes a hygroscopic polymer resin and a water-sensitive fluorophore. The process includes forming pellets having a particular geometry from the blend, determining fluorescence properties of at least one of the pellets, and determining moisture content of at least one of the pellets. The process also includes generating a calibration curve for the particular pellet geometry by correlating the fluorescence properties with the moisture content. The process further includes providing the calibration curve for non-destructive moisture content evaluation of a material derived from the pellets.

A measurement system is provided with an array of laser diodes with one or more Bragg reflectors. At least a portion of the light generated by the array is configured to penetrate tissue comprising skin. A detection system configured to: measure a phase shift, and a time-of-flight, of at least a portion of the light from the array of laser diodes reflected from the tissue relative to the portion of the light generated by the array; generate one or more images of the tissue; detect oxy- or deoxy-hemoglobin in the tissue; non-invasively measure blood in blood vessels within or below a dermis layer within the skin; measure one or more physiological parameters based at least in part on the non-invasively measured blood; and measure a variation in the blood or physiological parameter over a period of time.

Provided is a method for testing a melt-fabricable fluororesin injection-molded article which enables easy determination of whether or not a tested article is a defective article due to a crack or delamination. The method for testing a melt-fabricable fluororesin injection-molded article includes determining whether or not a melt-fabricable fluororesin injection-molded article is defective due to a crack or delamination based on a stress-strain curve or tensile strength-strain curve obtained by a tensile test performed on the injection-molded article.

In the rotation mechanism for an X-ray inspection apparatus, a plurality of adjustment members configured to adjust the shape of an outer race of a bearing by deforming the outer race are arranged in a circumferential direction of the bearing. The adjustment members are movable relative to an adjustment member holder in a diameter direction of the bearing and contactable with an outer circumferential surface of the outer race. A gap S configured to allow deformation of the outer race is formed between the outer circumferential surface of the outer race and the adjustment member holder in the diameter direction of the bearing.

An analytical pretreatment method of microplastics includes: placing the microplastics separated by a gravity separation treatment in a sieve; immersing the sieve containing the microplastics in pure water having a depth smaller than a height of the sieve; and lifting the sieve up from the pure water and drying the microplastics contained in the sieve with a constant temperature dryer. Thus, the analytical pretreatment method of microplastics is capable of reducing the influence of a gravity separation solution on the analysis result of the microplastics.

A method and system for analyzing a physical characteristic of a film sample are described herein. The system may include a material holder system configured to hold the film sample. The system may include a tensile testing system configured to stretch the film sample and determine a physical characteristic of the film sample. The system may include a movable system coupled to the material holder system and configured to move the held film sample to be analyzed or tested between stations. The movable system is configured to move the held film sample in the material holder system to the tensile testing system.

Embodiments relate to an aligner breakage solution that tests damage to an aligner using machine learning. A method includes of training a machine learning model to predict damage to an orthodontic aligner includes gathering a training dataset comprising digital designs for a plurality of orthodontic aligners, wherein each digital design is associated with a respective orthodontic aligner of the plurality of orthodontic aligners, and wherein each digital design comprises metadata indicating whether the associated respective orthodontic aligner was damaged during manufacturing of the associated respective orthodontic aligner. The method further includes training the machine learning model using the training dataset, wherein the machine learning model is trained to process data from a digital design for an orthodontic aligner and to output a probability that the orthodontic aligner associated with the digital design will be damaged during manufacturing of the orthodontic aligner.