以生物多樣性指標評估集水區崩塌地治理優選順序

The abundance of endemic species in Taiwan is a great natural treasure accomplished by a diverse altitude ranges due to violent tectonic activities and humid tropical weather conditions with ocean surrounded. With the characteristics of few flatlands, the slope lands are inevitable and have been developed for economic and social requirement gradually, which has caused habitation shrinking of animal and plant. Furthermore, Taiwan also suffers disasters such as striking of torrential rains and typhoons during summer season annually, and is vulnerable to landslide because of fragile geology which threats to the living things. Thus, to enhance the efficiency of vegetation recovery in landslide area can benefit the habitats of species. Typhoon Morakot induced landslides and vegetation recovery rate in Kao-Ping watershed can be quickly extracted and/or derived from the satellite images in this study. The biodiversity index established in the database of the watershed can then be applied to assess the treatment priority of landslides. The result shows that the highest landslide rate in Chi-Shan and Lao-Nong watersheds are Xiao-Lin and Ching-Shui Xi sub-watersheds respectively. For vegetation recovery rate, the downstream area is higher than upstream area. For treatment priority, the top 10 of sub-watersheds almost distribute in Lao-Nong watershed. It hopes that the result could provide the related authorities as the references of environmental restoration.台灣雖位處北回歸線，但因造山運動拱起4,000 公尺海拔落差，使台灣物種跨越熱帶、溫帶及寒帶，且四面環海及高溫多雨之島嶼氣候，孕育出許多台灣特有種生物，然台灣因高山多、平地少，在高人口密度下，居民為了生活不得不開發山坡地之原始森林，此舉壓縮了動、植物之生存空間，此外，台灣山高且地質破碎，夏季之暴雨或颱風易造成大規模之崩塌，除對當地居民造成威脅外，亦影響其他物種之生存環境，為此，如何加速崩塌地之植生復育，將有助於恢復各物種之棲地。本研究以莫拉克風災為事件，利用該事件前後期之衛星影像萃取集水區崩塌區位，另計算災後集水區植生復育良窳之熱點區位，最後以生物多樣性指數配合崩塌率及植生復育率評估集水區崩塌地治理之優選順序。研究結果顯示，旗山溪及荖濃溪集水區中崩塌率最高之子集水區分別為小林及清水溪；植生復育率則為下游高於上游區位；整體崩塌地治理優先順序中，得分最高之前10 處主要分布於荖濃溪集水區。期本研究之結果可作為相關生態保育單位於環境復育之參考

Anatomical features, fiber morphological, physical and mechanical properties of three years old new hybrid Paulownia: green Paulownia

Objective: Green Paulownia (hybridization of Paulownia elongata × Paulownia fotunei and tropical Paulownia spp.) is new hybrid claimed as one of the fast-growing woody plants with the high potential as a fiber material or lignocellulosic material. The material for this study originates from the area of Nanning in China. Methodology: Cell morphology and anatomical appearances were observed and evaluated under the image analysis system (Leica DMLS). Physical and mechanical properties were evaluated based on the American Society for Testing and Materials (ASTM) standards. Results: From the results, average value of the mean fiber length was 0.905 mm, mean fiber length 34.59 μm, lumen thickness 26.80 μm and cell wall thickness 3.89 μm. Fiber dimensions of green Paulownia are in the normal range for hardwoods. The physical and mechanical properties of 3 years old green Paulownia have similar properties than those 7-11 years old Paulownia published in China. Conclusion: The 3 years old green Paulownia timbers can be used as materials for furniture

Prevalence and genotyping of Toxoplasma gondii in naturally-infected synanthropic rats (Rattus norvegicus) and mice (Mus musculus) in eastern China

BACKGROUND: Synanthropic rats and mice share the same environment with humans and play an important role in epidemiology of toxoplasmosis; however, there is limited information about prevalence and genetic characterization of Toxoplasma gondii in synanthropic rats and mice in China. FINDINGS: In the present study, the prevalence and genetic characterization of T. gondii naturally infected synanthropic rodents (Rattus norvegicus and Mus musculus) were investigated in the urban area of Xuzhou city, Eastern China between June 2013 and August 2014. DNA from the brain of each animal was prepared and screened by specific PCR assay targeting 35-fold repeated B1 gene (B1-PCR). PCR positive DNA samples were further genotyped by multi-locus PCR-RFLP. Overall, out of 123 synanthropic rodents, 29 samples were positive by B1 gene-targeted PCR (23.6%). Of these, 7 out of 31 (22.3%) M. musculus were positive, whereas the positive rate of R. norvegicus was 23.9% (22/92). Multi-locus PCR-RFLP analysis reveals that seven PCR-positive samples were completely genotyped and they were identified as type China 1 (ToxoDB# 9). CONCLUSION: To our knowledge, this is the first report of molecular detection and genetic characterization of T. gondii infection in synanthropic rodents in Eastern China. The results of the present study showed a high infection pressure of T. gondii exists in the environment and synanthropic rodents infected by T. gondii may be an important source of infection for cats and other animals

miRTarBase update 2014: an information resource for experimentally validated miRNA-target interactions

MicroRNAs (miRNAs) are small non-coding RNA molecules capable of negatively regulating gene expression to control many cellular mechanisms. The miRTarBase database (http://mirtarbase.mbc.nctu.edu.tw/) provides the most current and comprehensive information of experimentally validated miRNA-target interactions. The database was launched in 2010 with data sources for >100 published studies in the identification of miRNA targets, molecular networks of miRNA targets and systems biology, and the current release (2013, version 4) includes significant expansions and enhancements over the initial release (2010, version 1). This article reports the current status of and recent improvements to the database, including (i) a 14-fold increase to miRNA-target interaction entries, (ii) a miRNA-target network, (iii) expression profile of miRNA and its target gene, (iv) miRNA target-associated diseases and (v) additional utilities including an upgrade reminder and an error reporting/user feedback system

Autophagy and Coagulation in Liver Cancer and Disorders

The physiological role of autophagy in metabolism of the body involves both protein synthesis and degradation. The autophagy-lysosome and the ubiquitin-proteasome systems are the two major intracellular proteolytic mechanisms. Autophagy in hepatocytes is known to be quite active and contribute to its normal functions and the pathogenesis of liver diseases. The role of autophagy in liver diseases has been widely studied, and growing evidence has now shown that autophagy is involved in the pathogenesis of cirrhosis and hepatocellular carcinoma (HCC). However, the role of autophagy in the progression of liver fibrosis and prognosis of human HCC is not well known. Recent studies have demonstrated that tissue factor (TF) combined with coagulation factor VII (FVII) has a pathological role by activating a protease-activated receptor 2 (PAR2) for tumor growth. Autophagy-related LC3A/B-II formation induced by the inhibition of TF/FVII/PAR2 coagulation axis, particularly by FVII knockdown, was selectively mediated by the Atg7 induction. These results are consistent with clinical observations that indicate the important role of FVII activation in regulating autophagy in HCC. In this chapter, we discuss our findings in which FVII promotes growth and progression in HCC through ERK-TSC/mTOR signaling to repress autophagy and may play a pivotal role in conferring cirrhosis and other liver diseases

Realization of the Trajectory Propagation in the MM-SQC Dynamics by Using Machine Learning

The supervised machine learning (ML) approach is applied to realize the trajectory-based nonadiabatic dynamics within the framework of the symmetrical quasi-classical dynamics method based on the Meyer-Miller mapping Hamiltonian (MM-SQC). After the construction of the long short-term memory recurrent neural network (LSTM-RNN) model, it is used to perform the entire trajectory evolutions from initial sampling conditions. The proposed idea is proven to be reliable and accurate in the simulations of the dynamics of several site-exciton electron-phonon coupling models, which cover two-site and three-site systems with biased and unbiased energy levels, as well as include a few or many phonon modes. The LSTM-RNN approach also shows the powerful ability to obtain the accurate and stable results for the long-time evolutions. It indicates that the LSTM-RNN model perfectly captures of dynamical correction information in the trajectory evolution in the MM-SQC dynamics. Our work provides the possibility to employ the ML methods in the simulation of the trajectory-based nonadiabatic dynamic of complex systems with a large number of degrees of freedoms