18 research outputs found

    The Effect of Raw Soybean on Oxidative Status of Digestive Organs in Mice

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    The present study was undertaken to specify the effect of raw soybean on oxidative status of digestive organs in mice. For this purpose, thirty male (C57BL/6J) mice were randomly divided into three groups and fed on different diets as follows: Group 1 was fed on control diet, Group 2 was fed on raw soybean diet and Group 3 was fed on raw soybean diet supplemented with 30 mg/kg cysteamine. After two weeks of feeding, duodenum, liver and pancreas samples were collected to measure oxidative and antioxidative parameters. The results show that ingestion of raw soybean markedly increased contents of superoxide anion and malondialdehyde (MDA) and activity of inducible nitric oxide synthase (iNOS), decreased activity of superoxide dismutase (SOD), T-AOC and content of reduced glutathione (GSH) in digestive organs of mice (P < 0.05). In the group fed with raw soybean diet supplemented with cysteamine, oxidative stress was mitigated. However, oxidative parameter levels were still higher than those of control diet-fed group. The present study indicates that ingestion of raw soybean could result in an imbalance between oxidant and antioxidant, and thus induce oxidative stress in digestive organs of mice

    Fault Diagnosis of Reciprocating Compressor Using Component Estimating Empirical Mode Decomposition and De-Dimension Template with Double-Loop Correction Algorithm

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    This paper presents an approach to implement multi-parameter (i.e., pressure, temperature, vibration, current, and liquid level) signals for fault diagnosis of the reciprocating compressor (RC). Due to the complexity of structure and motion of such compressor, the acquired signals involve transient impacts and noises. This causes the useful information to be corrupted and makes it difficult to diagnose the fault patterns accurately. A component estimating empirical mode decomposition (CEEMD) method is proposed to remove the random noise and improve data quality. Furthermore, a new template matching algorithm called de-dimension template with double-loop correction (DDT-DLC) is applied to diagnose the fault pattern contained in the time series signals. The DDT employs a judging criterion for key characterization parameters extraction and a multicellular parameter fusion method to reduce the dimension of the matching template, and then, the DLC supplies a double-loop correction algorithm to build a parameter state array computing model of the time series data by adjusting the dynamic factors. The proposed approach is validated with three fault patterns and the healthy pattern in a two-stage reciprocating air compressor. To confirm the superiority of the proposed method, its performance is compared with that of the traditional methods. The results have indicated that the proposed approach is of highly diagnostic accuracy and shortly computing time in the fault diagnosis

    High Performance Three-Phase PMSM Open-Phase Fault-Tolerant Method Based on Reference Frame Transformation

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    Sensorless BLDC Motor Commutation Point Detection and Phase Deviation Correction Method

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    Boehmeria grandifolia Weddell

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    原著和名: ヤブマヲ科名: イラクサ科 = Urticaceae採集地: 千葉県 四街道市 (下総 四街道市)採集日: 1981/8/2採集者: 萩庭丈壽整理番号: JH037553国立科学博物館整理番号: TNS-VS-98755

    Flowchart of the approach to combine association and biparental mapping.

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    <p>Results of association mapping and bulk segregation analysis were summarized side by side to clearly describe the entire study.</p

    The inheritance of seed coat color in a segregating population derived from the cross between ZP95-5383 and NY279.

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    <p>Squares with different colors (green, yellow, black, and brown) represented soybeans with corresponding seed colors. Similar pattern of inheritance from soybeans with black, yellow, green seed in F<sub>3</sub>-F<sub>7</sub> generation were not shown completely in this diagram.</p
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