http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Use of Awamori-pressed Lees and Tofu Lees as Feed Ingredients for Growing Male Goats
Nagamine, Itsuki,Sunagawa, Katsunori,Kina, Takashi Asian Australasian Association of Animal Productio 2013 Animal Bioscience Vol.26 No.9
Awamori is produced by fermenting steamed indica rice. Awamori-pressed lees is a by-product of the Awamori production process. Tofu lees is a by-product of the Tofu production process. Research was conducted to test if dried Awamori-pressed lees and Tofu lees can be used as a mixed feed ingredient for raising male goats. Eighteen male kids were divided into three groups of six animals (control feed group (CFG), Awamori-pressed lees mixed feed group (AMFG), Tofu lees mixed feed group (TMFG)). The CFG used feed containing 20% soybean meal as the main protein source, while the AMFG and TMFG used feed mixed with 20% dried Awamori-pressed lees or dried Tofu lees. The groups were fed mixed feed (volume to provide 100 g/d increase in body weight) and alfalfa hay cubes (2.0 kg/d) twice a day (10:00, 16:00). Klein grass hay and water was given ad libitum. Hay intake was measured at 10:00 and 16:00. Body weight and size measurements were taken once a month. At the end of the experiment, a blood sample was drawn from the jugular vein of each animal and the carcass characteristics, the physical and chemical characteristics of loin were analyzed. DCP and TDN intakes in AMFG and TMFG showed no significant difference to the CFG. Cumulative measurements of growth in body weight and size over the 10 mo period in the AMFG and TMFG were similar to the CFG. Blood parameter values were similar to those in normal goats. Dressing carcass weight and percentages, and total weight of meat in the AMFG were similar to that in the CFG, but smaller in the TMFG. The compressed meat juice ratio was higher in both the TMFG and AMFG than the CFG. While the fat in corn, Awamori-pressed lees, and Tofu lees contains more than 50% linoleic acid, the loin fat in both the AMFG and TMFG was very low in linoleic acid due to the increase in the content of oleic acid, stearic acid, and palmitic acid. This indicates that feeding on AMF and TMF does not inhibit hydrogenation by ruminal microorganisms. As in the CFG, the total essential and non-essential amino acids in the loin of the AMFG and TMFG were well balanced. Compared to the CFG, the AMFG and TMFG were high in taurine and carnosine. The results indicate dried Awamori-pressed lees and Tofu lees can be used as a feed ingredient for raising male goats.
Shigeto Nishida,Takenao Sugi,Akio Ikeda,Takashi Nagamine,Hiroshi Shibasaki,Masatoshi Nakamura 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
A method for detecting spikes and slow burst in photic evoked electroencephalogram (EEG) was proposed. The spikes were detected by combining methods of the morphological filter and the similarity coefficient in the time domain. The slow burst was detected by using pole of AR model in the frequency domain. The proposed method was applied for the photic evoked EEG data containing spikes and slow burst, and brought satisfactory coincidence with the results interpreted by a qualified electroencephalographer.
Xiu Zhang,Xingyu Wang,Takenao Sugi,Akio Ikeda,Takashi Nagamine,Hiroshi Shibasaki,Masatoshi Nakamura 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Quantitative analysis and detection of abnormalities for electroencephalogram (EEG) recordings during evoked activities are essential for clinical diagnosis on neurological disorders. However, the process of interpreting EEG is time consuming and requires experienced electroencephalographers (EEGers). In this study, a method of automatic EEG interpretation during hyperventilation was proposed. The purpose is to provide a quantitative interpretation of EEG which is able to conform to EEGers’visual inspection. The final integrated results of automatic interpretation were compared with EEGers’evaluation, and showed high consistence.
Automatic Judgment of Open/Closed Eye States for Accurate Interpretation of Awake Background EEG
Ayon Kumar Das,Takenao Sugi,Yoshitaka Matsuda,Satoru Goto,Shigeto Nishida,Kei sato,Keiko Usui,Takefumi Hitomi,Masao Matsuhashi,Akio Ikeda,Takashi Nagamine,Hiroshi Shibasaki 제어로봇시스템학회 2019 제어로봇시스템학회 국제학술대회 논문집 Vol.2019 No.10
Automatic judgment of open/closed eye states from the awake background electroencephalogram (EEG) recording has been always in a high demand for neurological signal analysis and plays an important role for posterior dominant rhythm (PDR) analysis. PDR appears predominantly in occipital lobes and contains significant information for interpreting fundamental brain dysfunctions. The aim of this research is to develop a system that can properly differentiate between open and closed eye states, so that some specific segments can be chosen for PDR analysis that appears just after eye open/close. In this proposed method, a computer assisted automatic system for eye-opening/closing detection from awake background EEG has been developed. EEG data that was visually inspected by a qualified electroencephalographer (EEGer) was taken into account for separating open and closed eye states by creating parameters for each states. Later using those parameters and conditions, new equations were developed and implemented for accurate detection of open/closed eye. Based on the automatic detection result, some specific segments that appears just after eye open/close will be selected for PDR analysis. Organization, frequency, amplitude and their asymmetry these characteristics will be taken into account for PDR analysis.