Academic literature on the topic 'Bing ju'

Underwater acoustic signature identification has been employed as a technique for detecting underwater vehicles, such as in anti-submarine warfare or harbour security systems. The underwater sound channel, however, has interference due to spatial variations in topography or sea state conditions and temporal variations in water column properties, which cause multipath and scattering in acoustic propagation. Thus, acoustic data quality control can be very challenging. One of challenges for an identification system is how to recognise the same target signature from measurements under different temporal and spatial settings. This paper deals with the above challenges by establishing an identification system composed of feature extraction, classification algorithms, and feature selection with two approaches to recognise the target signature of underwater radiated noise from a research vessel, Ocean Researcher III, with a bottom mounted hydrophone in five cruises in 2016 and 2017. The fundamental frequency and its power spectral density are known as significant features for classification. In feature extraction, we extract the features before deciding which is more significant from the two aforementioned features. The first approach utilises Polynomial Regression (PR) classifiers and feature selection by Taguchi method and analysis of variance under a different combination of factors and levels. The second approach utilises Radial Basis Function Neural Network (RBFNN) selecting the optimised parameters of classifier via genetic algorithm. The real-time classifier of PR model is robust and superior to the RBFNN model in this paper. This suggests that the Automatic Identification System for Vehicles using Acoustic Signature developed here can be carried out by utilising harmonic frequency features extracted from unmasking the frequency bandwidth for ship noises and proves that feature extraction is appropriate for our targets. References Nathan D Merchant, Kurt M Fristrup, Mark P Johnson, Peter L Tyack, Matthew J Witt, Philippe Blondel, and Susan E Parks. Measuring acoustic habitats. Methods in Ecology and Evolution, 6(3):257265, 2015. doi:10.1111/2041-210X.12330. Nathan D Merchant, Philippe Blondel, D Tom Dakin, and John Dorocicz. Averaging underwater noise levels for environmental assessment of shipping. The Journal of the Acoustical Society of America, 132(4):EL343EL349, 2012. doi:10.1121/1.4754429. Chi-Fang Chen, Hsiang-Chih Chan, Ray-I Chang, Tswen-Yung Tang, Sen Jan, Chau-Chang Wang, Ruey-Chang Wei, Yiing-Jang Yang, Lien-Siang Chou, Tzay-Chyn Shin, et al. Data demonstrations on physical oceanography and underwater acoustics from the marine cable hosted observatory (macho). In OCEANS, 2012-Yeosu, pages 16. IEEE, 2012. doi:10.1109/OCEANS-Yeosu.2012.6263639. Sauda Sadaf P Yashaswini, Soumya Halagur, Fazil Khan, and Shanta Rangaswamy. A literature survey on ambient noise analysis for underwater acoustic signals. International Journal of Computer Engineering and Sciences, 1(7):19, 2015. doi:10.26472/ijces.v1i7.37. Shuguang Wang and Xiangyang Zeng. Robust underwater noise targets classification using auditory inspired time-frequency analysis. Applied Acoustics, 78:6876, 2014. doi:10.1016/j.apacoust.2013.11.003. LG Weiss and TL Dixon. Wavelet-based denoising of underwater acoustic signals. The Journal of the Acoustical Society of America, 101(1):377383, 1997. doi:10.1121/1.417983. Timothy Alexis Bodisco, Jason D'Netto, Neil Kelson, Jasmine Banks, Ross Hayward, and Tony Parker. Characterising an ecg signal using statistical modelling: a feasibility study. ANZIAM Journal, 55:3246, 2014. doi:10.21914/anziamj.v55i0.7818. José Ribeiro-Fonseca and Luís Correia. Identification of underwater acoustic noise. In OCEANS'94.'Oceans Engineering for Today's Technology and Tomorrow's Preservation.'Proceedings, volume 2, pages II/597II/602 vol. 2. IEEE. Linus YS Chiu and Hwei-Ruy Chen. Estimation and reduction of effects of sea surface reflection on underwater vertical channel. In Underwater Technology Symposium (UT), 2013 IEEE International, pages 18. IEEE, 2013. doi:10.1109/UT.2013.6519874. G.M. Wenz. Acoustic ambient noise in the ocean: spectra and sources. Thesis, 1962. doi:10.1121/1.1909155. Donald Ross. Mechanics of underwater noise. Elsevier, 2013. doi:10.1121/1.398685. Chris Drummond and Robert C Holte. Exploiting the cost (in) sensitivity of decision tree splitting criteria. In ICML, volume 1, 2000. Charles Elkan. The foundations of cost-sensitive learning. In International joint conference on artificial intelligence, volume 17, pages 973978. Lawrence Erlbaum Associates Ltd, 2001. Chris Gillard, Alexei Kouzoubov, Simon Lourey, Alice von Trojan, Binh Nguyen, Shane Wood, and Jimmy Wang. Automatic classification of active sonar echoes for improved target identification. Douglas C Montgomery. Design and analysis of experiments. John wiley and sons, 2017. doi:10.1002/9781118147634. G Taguchi. Off-line and on-line quality control systems. In Proceedings of International Conference on Quality Control, 1978. Sheng-Ju Wu, Sheau-Wen Shiah, and Wei-Lung Yu. Parametric analysis of proton exchange membrane fuel cell performance by using the taguchi method and a neural network. Renewable Energy, 34(1):135144, 2009. doi:10.1016/j.renene.2008.03.006. Genichi Taguchi. Introduction to quality engineering: designing quality into products and processes. Technical report, 1986. doi:10.1002/qre.4680040216. Richard Horvath, Gyula Matyasi, and Agota Dregelyi-Kiss. Optimization of machining parameters for fine turning operations based on the response surface method. ANZIAM Journal, 55:250265, 2014. doi:10.21914/anziamj.v55i0.7865. Chuan-Tien Li, Sheng-Ju Wu, and Wei-Lung Yu. Parameter design on the multi-objectives of pem fuel cell stack using an adaptive neuro-fuzzy inference system and genetic algorithms. International Journal of Hydrogen Energy, 39(9):45024515, 2014. doi:10.1016/j.ijhydene.2014.01.034. Antoine Guisan, Thomas C Edwards Jr, and Trevor Hastie. Generalized linear and generalized additive models in studies of species distributions: setting the scene. Ecological modelling, 157(2-3):89100, 2002. doi:10.1016/S0304-3800(02)00204-1. Sheng Chen, Colin FN Cowan, and Peter M Grant. Orthogonal least squares learning algorithm for radial basis function networks. IEEE Transactions on neural networks, 2(2):302309, 1991. doi:10.1109/72.80341. Howard Demuth and Mark Beale. Neural network toolbox for use with matlab-user's guide verion 4.0. 1993. Janice Gaffney, Charles Pearce, and David Green. Binary versus real coding for genetic algorithms: A false dichotomy? ANZIAM Journal, 51:347359, 2010. doi:10.21914/anziamj.v51i0.2776. Daniel May and Muttucumaru Sivakumar. Techniques for predicting total phosphorus in urban stormwater runoff at unmonitored catchments. ANZIAM Journal, 45:296309, 2004. doi:10.21914/anziamj.v45i0.889. Chang-Xue Jack Feng, Zhi-Guang Yu, and Andrew Kusiak. Selection and validation of predictive regression and neural network models based on designed experiments. IIE Transactions, 38(1):1323, 2006. doi:10.1080/07408170500346378. Yin-Ying Fang, Ping-Jung Sung, Kai-An Cheng, Meng Fan Tsai, and Chifang Chen. Underwater radiated noise measurement of ocean researcher 3. In The 29th Taiwan Society of Naval Architects and Marine Engineers Conference, 2017. Yin-Ying Fang, Chi-Fang Chen, and Sheng-Ju Wu. Analysis of vibration and underwater radiated noise of ocean researcher 3. In The 30th Taiwan Society of Naval Architects and Marine Engineers Conference, 2018. Det Norske Veritas. Rules for classification of ships new buildings special equipment and systems additional class part 6 chapter 24 silent class notation. Rules for Classification of ShipsNewbuildings, 2010. Underwater acousticsquantities and procedures for description and measurement of underwater sound from ships-part 1requirements for precision measurements in deep water used for comparison purposes. (ISO 17208-1:2012), 2012. Bureau Veritas. Underwater radiated noise, rule note nr 614 dt r00 e. Bureau Veritas, 2014. R.J. Urick. Principles of underwater sound, volume 3. McGraw-Hill New York, 1983. Lars Burgstahler and Martin Neubauer. New modifications of the exponential moving average algorithm for bandwidth estimation. In Proc. of the 15th ITC Specialist Seminar, 2002. Bishnu Prasad Lamichhane. Removing a mixture of gaussian and impulsive noise using the total variation functional and split bregman iterative method. ANZIAM Journal, 56:5267, 2015. doi:10.21914/anziamj.v56i0.9316. Chao-Ton Su. Quality engineering: off-line methods and applications. CRC press, 2016. Jiju Antony and Mike Kaye. Experimental quality: a strategic approach to achieve and improve quality. Springer Science and Business Media, 2012. Ozkan Kucuk, Tayeb Elfarah, Serkan Islak, and Cihan Ozorak. Optimization by using taguchi method of the production of magnesium-matrix carbide reinforced composites by powder metallurgy method. Metals, 7(9):352, 2017. doi:10.3390/met7090352. G Taguchi. System of experimental design, quality resources. New York, 108, 1987. Gavin C Cawley and Nicola LC Talbot. Efficient leave-one-out cross-validation of kernel fisher discriminant classifiers. Pattern Recognition, 36(11):25852592, 2003. doi:10.1016/S0031-3203(03)00136-5.

Herbal extract, rich with natural compounds, has been used for medicinal purpose such as treating neurological disorders such as cognitive defection for a long period of time, often without significant adverse effects. We compared AChE and BuChE – inhibition effect of total extracts and fractions of Huperzia serrata (Thunb.) Trevis. with alcaloid-rich extract. Our samples were subjected under supersonic extraction with ethanol 50o as solvent and fractionally extracted with n-hexane, EtOAc and n-butanol, respectively; alcaloid-rich extract was collected simutaneously. Ellman’s method was used to assay AChE and BuChE inhibition activity. Results: Alcaloid-rich extraction proved to be the superior AChE inhibiting agent, its activity nearly 6 fold of the most active Huperzia serrata extraction with IC50 value of 7.93 (5.43-10.98) µg/ml. While the fractions as well as the total extract did not provide any BuChE inhibition activity, alcaloid-rich extract showed weak ability (IC50 at 76.67 (64.78 – 91.84) µg/ml). Overall, the superior enzyme inhibition effect of alcaloid-rich extract might open a new approach in preventing and treating neurological disorders such as alzheimer’s. Keywords Huperzia serrata (Thunb.) Trevis, alcaloid, Acetylcholinesrerase inhibitors (AChE); butyrylcholinesterase (BuChE), Alzheimer. References [1] Dos Santos Picanco, Leide C et al., Alzheimer's disease: A review from the pathophysiology to diagnosis, new perspectives for pharmacological treatment, Current medicinal chemistry 25(26) (2018) 3141 - 3159. https://doi.org/10.2174/0929867323666161213101126.[2] B.M. McGleenon, K.B. Dynan, A.P. Passmore, Acetylcholinesterase inhibitors in Alzheimer's disease, British journal of clinical pharmacology 48(4) (1999) 471-480. https://10.1046/j.1365-2125.1999.00026.x.[3] Agneta Nordberg, Clive Ballard, Roger Bullock, Taher Darreh-Shori, Monique Somogyi, A review of butyrylcholinesterase as a therapeutic target in the treatment of Alzheimer’s disease, The primary care companion for CNS disorders 15(2) (2013). https://10.4088/PCC.12r01412.[4] N.M. Ha, V.V. Dung et al., Report on the review of Vietnam’s wildlife trade policy, 2007.[5] D.H. Bich, et al., Medicinal plants and medicinal animals in Viet Nam. Science and Technics Publishing House 1 (2011) 896-897 (in Vietnamese).[6] Jia-Sen Liu, Yuan-Long Zhu, Chao-Mei Yu, You-Zuo Zhou, Yan-Yi Han, Feng-Wu Wu, Bao-Feng Qi, The structures of huperzine A and B, two new alkaloids exhibiting marked anticholinesterase activity. Canadian Journal of Chemistry 64(4) (1986) 837-839. https://doi.org/10.1139/v86-137.[7] Takuya Ohba, Yuta Yoshino et al., Japanese Huperzia serrata extract and the constituent, huperzine A, ameliorate the scopolamine-induced cognitive impairment in mice, Bioscience biotechnology and biochemistry 79(11) (2015) 1838-1844. https://doi.org/10.1080/09168451.2015.1052773.[8] Ju-Yeon Park, Hyuck Kim et al., Ethanol Extract of Lycopodium serratum Thunb. Attenuates Lipopolysaccharide-Induced C6 Glioma Cells Migration via Matrix Metalloproteinase-9 Expression, Chinese Journal of Integrative Medicine 24(11) (2018) 860-866. https://doi.org/10.1007/s11655-017-2923-9.[9] M. Maridass, G. Raju, Investigation of phytochemical and antimicrobial activity of Huperzia species, Pharmacologyonline 3 (2009) 688-692.[10] George.L.Ellman, K.Diane Courtney, et al., A new and rapid colorimetric determination of acetylcholinesterase activity, Biochemical Pharmacology 7(2) (1961) 88-95. https://doi.org/10.1016/0006-2952(61)90145-9.[11] Paul T Francis, et al., The cholinergic hypothesis of Alzheimer’s disease: a review of progress. Journal of Neurology, Neurosurgery & Psychiatry, 66(2) (1999) 137-147. http://dx.doi.org/10.1136/jnnp.66.2.137.[12] Prerna Upadhyaya, Vikas Seth, Mushtaq Ahmad, Therapy of Alzheimer’s disease: An update, African Journal of Pharmacy and Pharmacology 4(6) (2010) 408-421.[13] Hachiro Sugimoto, Hiroo Ogura, et al., Research and development of donepezil hydrochloride, a new type of acetylcholinesterase inhibitor, The Japanese journal of pharmacology 89(1) (2002) 7-20.[14] N.T.K. Thu, et al., Acetylcholinesterase and butyrylcholinesterase inhibition effect of fractions extract of Huperzia serrata (Thunb.) Trevis. The journal of Pharmeceutical 56(11) 49-53 (in Vietnamese).[15] Xiaoqiang Ma, Changheng Tan, et al, Is there a better source of huperzine A than Huperzia serrata? Huperzine A content of Huperziaceae species in China. J Agric Food Chem, 53(5) (2005)1393-8. https://doi.org/10.1021/jf048193n.[16] Ya-Bing Yang, Xue-Qiong Yang, et al., A New Flavone Glycoside from Huperzia serrata. Chinese Journal of Natural Medicines 6(6) (2008) 408-410.[17] G.T. Ha, R.K. Wong, Y. Zhang, Huperzine a as potential treatment of Alzheimer's disease: an assessment on chemistry, pharmacology, and clinical studies, Chemistry & biodiversity 8(7) (2011) 1189-1204. https://doi.org/10.1002/cbdv.201000269.[18] H.Y. Zhang, X.C. Tang, Neuroprotective effects of huperzine A: new therapeutic targets for neurodegenerative disease, Trends in pharmacological sciences 27(12) (2006) 619-625. https://doi.org/10.1016/j.tips.2006.10.004.[19] Y. Wang, X.C. Tang, H.Y. Zhang, Huperzine A alleviates synaptic deficits and modulates amyloidogenic and nonamyloidogenic pathways in APPswe/PS1dE9 transgenic mice, Journal of neuroscience research 90(2) (2012) 508-517. https://doi.org/10.1002/jnr.22775.[20] C.Y. Wang, et al., Huperzine A activates Wnt/β-catenin signaling and enhances the nonamyloidogenic pathway in an Alzheimer transgenic mouse model, Neuropsychopharmacology 36(5) (2011) 1073-1089. https://doi.org/10.1038/npp.2010.245.[21] R.K. Gordon, et al., The NMDA receptor ion channel: a site for binding of Huperzine A, Journal of applied toxicology 21(S1) (2001) S47-S51. https://doi.org/10.1002/jat.805.[22] M. Rafii, et al., A phase II trial of huperzine A in mild to moderate Alzheimer disease, Neurology 76(16) (2011) 1389-1394. https://doi.org/10.1212/WNL.0b013e318216eb7b.[23] N.H. Greig, et al., A new therapeutic target in Alzheimer's disease treatment: attention to butyrylcholinesterase, Current medical research and opinion 17(3) (2001)1 59-165.[24] A. Ferreira, et al., Huperzine A from Huperzia serrata: a review of its sources, chemistry, pharmacology and toxicology, Phytochemistry reviews 15(1) (2016) 51-85. https://doi.org/10.1007/s11101-014-9384-y.

Confronter la pensée occidentale à la pensée chinoise est une démarche enrichissante à un moment où les cultures se croisent et peuvent même se sentir menacées. J'ai tenté, en partant de l'étude des écritures et de leurs origines de mieux cerner l'avènement de la pensée et son développement dans les deux cas. Il s'agissait de fixer un champ d'étude, j'ai donc songé à présenter le 'réel', le' monde', selon les deux approches et applications, d'un côté le 'logos\ la Raison et de l'autre les conceptions taoïstes, parfois mêlées de bouddhisme. Le 'procès' du monde dont la Chine était très tôt consciente ne lui permettait pas d'interpréter le réel tel que la Grèce et par voie de conséquence l'Occident le concevait, la seule chose qui ne change pas dans le monde étant précisément pour la Chine l'état 'd'impermanence'. Partant notamment du "yi jing" ou "Livre des Mutations", de la construction idéographique, la Chine a voulu représenter le monde tout entier, elle avait une vision différente de celle de I'Occident...Mais une question demeure posée: quelle est au fond l'origine de cette vision ? Est-ce celle de certains penseurs ? Est-ce la nature elle-même ? Est-ce l'écriture comme manifestation humaine? Ma recherche propose quelques jalons pour chaque civilisation, mais la question reste très ouverte
Comparing Western thought and Chinese thought can be quite enriching, at a time when cultures in general can gain contact, as weil as fee!thrcatencd somctimes. l have tried, starting from modes of writings, at their origins, to figure out the advcnt and development ofthought on both sides. The point was also to choose a field ofexpcriment... 1 have thought that 1 could present 'reality', the 'world', from Western and Chinese approaches, with the efiècts of 'logos' and 'Reason' on one side and Taoist and sometimes Buddhist influences on the other. The 'process' of the world that China was conscious of cou id not allow her to apprchend reality such as Greece, very carly, and later Western thought could conceive it. Indeed, the only thing that would not change in this world is the state of 'impermanence' for China. From the yi jing, the Book of Changes, and ideographie patterns and methods, China wanted to show the world, the whole world. That was a vision definitely different from that of the West... Still, one question remains : where does this vision come from ? From thinkers. from Nature itself ? From modes of writings as human responses ? The exposition that I developed offers a few landmarks on both sidcs, but the question is still an open one

Syftet med denna studie var att genom en fenomenografisk ansats belysa de variationer av uppfattningar av barns delaktighet och inflytande som kan tänkas finnas bland förskollärare. För att finna dessa variationer genomfördes kvalitativa semistrukturerade intervjuer med utbildade förskollärare i olika åldrar, alla verksamma i förskolans verksamhet. Det datamaterial som samlats in har sedan analyserats och kategoriserats utifrån en fenomenografisk ansats i ett försök att få variationerna att framträda. Resultatet visar en rad olika variationer i förskollärarnas uppfattningar, där det bland annat har framkommit i vårt resultat att förskollärarnas uppfattningar av barns delaktighet och inflytande till stor del handlar om ett ansvar hos förskolläraren, men vi kan också tolka att det även handlar om barnens egna upplevelse av det. De variationer som har framkommit i resultatet redogörs i olika kategorier, där även de uttalanden som ingår i samma kategori har variationer i sig. Detta synliggör den komplexitet som finns i arbetet med barns delaktighet och inflytande, då de olika kategoriernas innebörder som även innehåller variationer i sig gör det ännu svårare att utröna fenomenet. De olika variationerna av uppfattningar ger även olika förutsättningar för arbetet med barns delaktighet och inflytande, därav kan vi se betydelsen av att förskollärare samtalar och reflekterar kring uppfattningar av fenomenet.

2020-06-08

This chapter discusses the context and background of Ju-on: The Grudge (2002), starting with a synopsis of the film. Takashi Shimizu's Ju-on franchise was a principal instigator that drove the dissemination of contemporary Japanese horror to global success during the early years of the new millennium. Capitalising on the supernatural folklore that permeates Japan's theatrical and screen legacies, this wave of horror represented a new cinematic export that seamlessly merged the Japanese vengeful ghost tradition with the influence of transnational horror. J-horror brought culturally specific references that were sometimes lost on international audiences, but they also delighted with fresh motifs, aesthetics, and storylines. The chapter then looks at the journey of the Ju-on franchise from television to V-cinema, or direct to video films, to the big screen.