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Fu, Yan Yan,Kang, Kyung Ja,Ahn, Jung Myung,Kim, Hae-Ryoung,Na, Ki Young,Chae, Dong-Wan,Kim, Suhnggwon,Chin, Ho Jun Tohoku University Medical Press 2010 The Tohoku journal of experimental medicine Vol.222 No.4
<P>Oxidative stress is an important pathogenic factor in diabetes. Bilirubin may serve a cytoprotective function as an anti-oxidant. The Gunn rat lacks the enzyme uridine-diphosphate glucuronosyltransferase that is responsible for conjugation of bilirubin, exhibiting elevation of plasma bilirubin. We examined the effect of hyperbilirubinemia on the pancreatic damage caused by streptozotocin (STZ) in the Gunn rat. Male Wistar rats and male Gunn rats were treated with STZ (WS and GS groups, respectively) or vehicle (WC and GC groups, respectively). All 5 rats in the WS group developed diabetes, defined as fasting blood glucose 300 mg/dL or more, at 3 days, whereas only 2 of the 5 GS rats became diabetic at 7 days after STZ injection. Without insulin supplement at 7 days after STZ injection, the WS group displayed higher levels of fasting blood glucose (510.3 ± 50.3 vs. 236.4 ± 42.5 mg/dL, <I>p</I> = 0.003) and HbA1c (5.0 ± 0.1 vs. 3.9 ± 0.1, <I>p</I> = 0.001), compared to those of GS group. In Wistar rats, STZ induced apoptosis of the pancreatic islet cells, accompanied with activation of NADPH oxidase and increased production of reactive oxygen species and nitric oxide, but not in Gunn rats. Moreover, in a rat insulinoma cell line (RIN-m5F), pre-treatment with bilirubin (0.1 mg/dL) decreased cell death and apoptosis caused by STZ, and also reduced H<SUB>2</SUB>O<SUB>2</SUB> production. Considering the protective effect of hyperbilirubinemia against STZ-induced injury, we postulate that bilirubin could be a potential therapeutic modality for oxidative stress of pancreas islets.</P>
Seismic performance of a rocking bridge pier substructure with frictional hinge dampers
Chin-Tung Cheng,Fu-Lin Chen 국제구조공학회 2014 Smart Structures and Systems, An International Jou Vol.14 No.4
The rocking pier system (RPS) allows the columns to rock on beam or foundation surfacesduring the attacks of a strong earthquake. Literatures have proved that seismic energy dissipated by the RPSthrough the column impact is limited. To enhance the energy dissipation capacity of a RPS bridgesubstructure, frictional hinge dampers (FHDs) were installed and evaluated by shaking table tests. Thesupplemental FHDs consist of two brass plates sandwiched by three steel plates. The strategy ofself-centering design is to isolate the seismic energy by RPS at the columns and then dissipate the energy byFHDs at the bridge deck. Component tests of FHD were first conducted to verify the friction coefficient anddynamic characteristic of the FHDs. In total, 32 shaking table tests were conducted to investigate parameterssuch as wave forms of the earthquake (El Centro 1940 and Kobe 1995) and normal forces applied on thefriction dampers. An analytical model was also proposed to compare with the tested damping of the bridgesub-structure with or without FHDs.
Object Recognition Based on Modified Intuitive Corner Detection and Two-stage CornerMatching
Chin Sheng Chen,Ming Fu Tsai,Chun Chan Chiu 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper proposes an object recognition algorithm based on modified intuitive corner detection and two-stage corner matching. The object recognition algorithm consists of two phases: the off-line training phase and the on-line operating phase. The critical purpose is to construct template database in the training phase. Firstly, the corners are extracted from the template image by the modified intuitive corner detection. The multi-resolution patches are then applied to create the full scale corners’ features. Each corner has its own descriptor based on SIFT and PCA. With this information, the algorithm creates the hierarchical structures of multi-resolution patches to improve the speed of corner matching. In the operating phase, the test images are processed in the same manner mentioned above with single resolution patches, and then the corner will be matched with the multi-resolution patches in the training phase’s database. The two-stage corner matching, coarse and fine matching based on hierarchical structures of corner descriptions appears to reduce the range of patch’s candidates, is then adopted toimprove the matching performance. Finally, the Random sample consensus (RANSAC) criterion is applied to reject the remaining outlier. Experimental results show that our proposed object recognition is reliable and real-time.
Automatic Fish Species Identification using Convolutional Neural Networks
( Yi-chin Lu ),( Ching-lu Hsieh ),( Yan-fu Kuo ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1
Fish is a worldwide major food source. In recent years, overfishing has become a serious problem. Overfishing exhausts fish resources, endangers some fish species, and also threatens the entire marine food chain. Hence, organizations put regulations to prevent overfishing. Typically, the species of the fish caught are recorded and reported by ocean observers. However, the manual reporting method is laborious and time-consuming. This study proposed to recognize fish species from images automatically using deep convolutional neural networks (CNN). A first deep CNN was used to identify fish types (e.g., tuna, marlin, shark, and other). A second deep CNN was used to distinguish species of tuna fish, including Thunnus alalunga (Albacore), Thunnus obesus (Bigeye tuna), Thunnus albacares (Yellowfin tuna). A third deep CNN was used to determine the species of marlin fish, including Makaira nigricans (Atlantic blue marlin), Istiophorus platypterus (Indo-Pacific sailfish), Xiphias gladius (Swordfish). Each deep CNN was a fine-tuned VGG-16 model. The experimental results showed that the proposed method reached an average accuracy of 97.9%.
Seismic performance of a rocking bridge pier substructure with frictional hinge dampers
Cheng, Chin-Tung,Chen, Fu-Lin Techno-Press 2014 Smart Structures and Systems, An International Jou Vol.14 No.4
The rocking pier system (RPS) allows the columns to rock on beam or foundation surfaces during the attacks of a strong earthquake. Literatures have proved that seismic energy dissipated by the RPS through the column impact is limited. To enhance the energy dissipation capacity of a RPS bridge substructure, frictional hinge dampers (FHDs) were installed and evaluated by shaking table tests. The supplemental FHDs consist of two brass plates sandwiched by three steel plates. The strategy of self-centering design is to isolate the seismic energy by RPS at the columns and then dissipate the energy by FHDs at the bridge deck. Component tests of FHD were first conducted to verify the friction coefficient and dynamic characteristic of the FHDs. In total, 32 shaking table tests were conducted to investigate parameters such as wave forms of the earthquake (El Centro 1940 and Kobe 1995) and normal forces applied on the friction dampers. An analytical model was also proposed to compare with the tested damping of the bridge sub-structure with or without FHDs.