The aim of this study was to examine proteinases and peptidases from the hepatopancreas of two sub‐adult stages of Farfantepenaeus subtilis: SAS6 (5.93 ± 0.69 g wet weight) and SAS13 (13.26 ± 0.60 g wet weight). Trypsin and chymotrypsin activity was higher in the extract from the SAS6 individuals (P < 0.05). The highest activity among aminoacyl‐β‐naphthylamide substrates was found using alanine‐, arginine‐, leucine‐ and lysine‐β‐naphthylamide. There was a positive correlation between the recommended concentration of essential amino acids in penaeid shrimp feed and aminopeptidase activity in both sub‐adult stages. Proteolytic activity of F. subtilis was strongly inhibited by specific trypsin inhibitors. The optimal temperature for trypsin, chymotrypsin and leucine aminopeptidase activity was between 45 and 55 °C. Six and seven bands were found in caseinolytic zymograms for SAS6 and SAS13 respectively. All bands were inhibited by phenylmethylsulfonyl fluoride in both sub‐adult stages. The use of tosyl‐lysine‐chloromethyl‐ketone and benzamidine caused strong inhibition of the proteolytic bands. Trypsin and chymotrypsin activity was the main difference observed between the protease pattern of SAS6 and SAS13F. subtilis. 相似文献
The accurate and reliable fruit detection in orchards is one of the most crucial tasks for supporting higher level agriculture tasks such as yield mapping and robotic harvesting. However, detecting and counting small fruit is a very challenging task under variable lighting conditions, low-resolutions and heavy occlusion by neighboring fruits or foliage. To robustly detect small fruits, an improved method is proposed based on multiple scale faster region-based convolutional neural networks (MS-FRCNN) approach using the color and depth images acquired with an RGB-D camera. The architecture of MS-FRCNN is improved to detect lower-level features by incorporating feature maps from shallower convolution feature maps for regions of interest (ROI) pooling. The detection framework consists of three phases. Firstly, multiple scale feature extractors are used to extract low and high features from RGB and depth images respectively. Then, RGB-detector and depth-detector are trained separately using MS-FRCNN. Finally, late fusion methods are explored for combining the RGB and depth detector. The detection framework was demonstrated and evaluated on two datasets that include passion fruit images under variable illumination conditions and occlusion. Compared with the faster R-CNN detector of RGB-D images, the recall, the precision and F1-score of MS-FRCNN method increased from 0.922 to 0.962, 0.850 to 0.931 and 0.885 to 0.946, respectively. Furthermore, the MS-FRCNN method effectively improves small passion fruit detection by achieving 0.909 of the F1 score. It is concluded that the detector based on MS-FRCNN can be applied practically in the actual orchard environment.
Transfer of development rights (TDR) programs are introduced as an alternative institutional innovation to the traditional regulatory instruments for land development. They meet the demand for development and conservation while balancing the conflicts between public and private interests with minimal use of public funds. Most TDR literature is about nature conservation and there is little focus on the complicated process and diverse stakeholders’ interests of urban land use in dealing with built heritage conservation. Previous studies show that the success of TDR programs depends on various elements, especially policy design and implementation approaches. The design and implementation of TDR programs involves transaction costs that can reduce the efficiency and effectiveness of these programs. This paper aims at developing a framework for analyzing TDR programs. This proposed framework not only takes transactions costs into account, but also provides a basis for decision makers to decipher the process of informal TDR. Using Hong Kong as a case study, three TDR implementation modes are selected to examine how different informal institutional arrangements have resulted in specific transaction costs in practice and hindered TDR projects. Our findings, which are informed by transactions costs economics, provide practical insights in order to improving the efficiency and effectiveness of TDR programs, particularly in informal contexts. 相似文献
Confronted with increasing natural and anthropogenic crises, sustainable urban and regional development requires a sound understanding of how cities and regions respond to those crises and how that response shapes their continued development. The conceptual ambiguity and missing link among varied perspectives of resilience studies have given rise to a sneaking suspicion about the contribution of resilience thinking. By conducting a network analysis of 1,274 papers published between 1991 and 2019 using CiteSpace, we detect and visualize the intellectual pathway of resilience thinking and argue for its malleability to deepen our understanding about human-environment dynamics. Three major research clusters were identified: adaptive capacity of ecosystems, regional variation in economic resilience, and social resilience of disadvantaged communities. Resistance and recovery of systems are the key concerns in the first two clusters, whereas social resilience emphasizes opportunities and processes of restructuring rather than returning to the pre-crisis status. The extension of resilience thinking to the social realm is a promising area for future research. It calls for a shift of epistemology from the deterministic structure-function hypothesis which is place-less toward a situated understanding of context, relation, and human adaptation despite the methodological challenges ahead. 相似文献