Abstract: High-purity glycomacropeptide with a low phenylalanine content may be obtained on an industrial scale by a method including: (A) bringing a whey protein mixture containing glycomacropeptide into contact with activated carbon; and (B) separating the glycomacropeptide from the activated carbon.

Abstract: An absorbent member (4) of the present invention includes fiber clusters (11) containing synthetic fibers (11F) and includes water absorbing fibers (12F), and a plurality of the fiber clusters (11) are interlaced with each other or with the water absorbing fibers (12F). The content mass ratio of the fiber clusters (11) to the water absorbing fibers (12F) (fiber cluster ratio) is smaller in the side of a skin-facing surface (the side of a topsheet (2)) than in the side of a non-skin-facing surface (the side of a backsheet (3)) of the absorbent member (4). The fiber cluster (11) includes a main portion (110) formed by two opposite base surfaces (111) and a body surface (112) intersecting the base surfaces (111).

Abstract: Biological data obtained through observation devices and job titles are recorded on a data recording device in association with time data that are generated at regular intervals. A data processing computer produces a graph from the data read out from the data recording device. The observation devices, the data recording device and the data processing computer are connected to a network, so that a required graph may be produced by processing data at a place remote from the observatory.

Abstract: A work data collection method is provided. The method includes photographing through a video camera a series of different jobs done by at least a worker, to record video signal of said jobs on a memory device of said video camera; inputting a break point signal in said video camera at each break point between said jobs, to record said break point signal on said memory device of said video camera along with said video signal; and displaying a list of titles of said jobs along with a clock.

Abstract: A producing sequence is constituted by a plurality of tasks. To manage production, a task difficulty level of a task within the producing sequence is evaluated. INPUT, PROCESS and OUTPUT skill categories are determined by categorizing a skill required for human resource in charge of the task according to cognitive science. The INPUT skill category is related to cognition of outer field information or acquisition of cognitive information. The PROCESS skill category is related to thinking or decision. The OUTPUT skill category is related to behavior or action. The task is evaluated with the INPUT, PROCESS and OUTPUT skill categories, to obtain respectively difficulty ranks. The task difficulty level is determined by processing the difficulty ranks in combination according to overall processing. Also, a risk diagnosis is provided, in which an error influence level of a predictable error of a task within a producing sequence is assessed.

Abstract: There is disclosed a work data collection method. In a darkroom, a data collector (12) photographs a series of jobs through an infrared video camera (14) while observing the jobs being done by a worker (11) through a darkroom goggle. At each break point between the jobs, the data collector operates a hand switch board (21) to enter a break point signal and select a corresponding job title from among a list of job titles displayed on an LCD device (15) that the data collector puts on behind the darkroom goggle. Then, the break point signal and job title data are recorded in association with each other on a hard disc of a portable personal computer (20). If the corresponding job title is not listed, the data collector says that job title to enter it as a sound signal through a microphone. The sound signal is converted into character data of the job title.

Abstract: There is disclosed a work data collection method. In a darkroom, a data collector (12) photographs a series of jobs through an infrared video camera (14) while observing the jobs being done by a worker (11) through a darkroom goggle. At each break point between the jobs, the data collector operates a hand switch board (21) to enter a break point signal and select a corresponding job title from among a list of job titles displayed on an LCD device (15) that the data collector puts on behind the darkroom goggle. Then, the break point signal and job title data are recorded in association with each other on a hard disc of a portable personal computer (20). If the corresponding job title is not listed, the data collector says that job title to enter it as a sound signal through a microphone. The sound signal is converted into character data of the job title.

Abstract: There is disclosed a work data collection method. In a darkroom, a data collector (12) photographs a series of jobs through an infrared video camera (14) while observing the jobs being done by a worker (11) through a darkroom goggle. At each break point between the jobs, the data collector operates a hand switch board (21) to enter a break point signal and select a corresponding job title from among a list of job titles displayed on an LCD device (15) that the data collector puts on behind the darkroom goggle. Then, the break point signal and job title data are recorded in association with each other on a hard disc of a portable personal computer (20). If the corresponding job title is not listed, the data collector says that job title to enter it as a sound signal through a microphone. The sound signal is converted into character data of the job title.

Abstract: Biological data obtained through observation devices and job titles are recorded on a data recording device in association with time data that are generated at regular intervals. A data processing computer produces a graph from the data read out from the data recording device. The observation devices, the data recording device and the data processing computer are connected to a network, so that a required graph may be produced by processing data at a place remote from the observatory.

Abstract: A main heater consisting of first and second fever areas and auxiliary heater arranged on an insulator substrate to maintain a precise sensing temperature. Grounded first fever area is contiguous with second fever area and grounded auxiliary heater, with the resistance ratio of first fever area and second fever area identical to that of the third resistor and the second resistor in bridge circuit control. Pyro-sensor or limit current type oxygen sensor capable of maintaining a high temperature, for example 400° C., operates within the high temperature maintained by the main heater, and DC—DC converter for isolating a first power supply, which supplies electric power to the heater from second power supply. Leakage current of the insulator substrate will not be generated as the insulator substrate deteriorates, thereby protecting the sensor cell leakage current from the heater.