Proceedings of ‏The International Conference on Research in Science and Technology最新文献

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Application of GIS technology on studying the coastal dynamic of Vjosa River Delta (Albania) GIS技术在Vjosa河三角洲(阿尔巴尼亚)沿海动态研究中的应用

Proceedings of ‏The International Conference on Research in Science and Technology Pub Date : 2020-03-20 DOI: 10.33422/RSTCONF.2020.03.88

E. Xhaferri

{"title":"Application of GIS technology on studying the coastal dynamic of Vjosa River Delta (Albania)","authors":"E. Xhaferri","doi":"10.33422/RSTCONF.2020.03.88","DOIUrl":"https://doi.org/10.33422/RSTCONF.2020.03.88","url":null,"abstract":"Vjosa River is the most important river of southern Albania, also is one of Europe’s wild rivers, with a length of 272 km and drainage basin of 6706km 2 . It sources from the Pindus Mountains in Greece (where it is called Aoös River) and drains in Albanian coast, near to the Narta Lagoon. Delta of Vjosa River with a surface of 317 km 2 is characterized by intensive changes of the shoreline, affected by the wave activity of the Adriatic Sea mostly affecting the river mouth and abandoned channels. The geometry and geomorphology of this delta has been conditioned by tectonic orientation of the Panaja and Frakulla neogene molasses hills. Study of the coastal dynamic and geometry changes of the delta mouth has been reconstructed using the information of topographic maps of Albania from existing studies and reports as well as the information extracted from satellite images. The statistical calculation of erosion and depositional are performed using GIS software technology. The studies performed on dynamics, erosion and accumulation, changes of the mouth shapes and coastline movements lead to the conclusion that delta area of Vjosa River is continuously in evolution. During the period from years 1870 to 2016, the interaction of sedimentological and neotectonic processes lead to total accumulation of an area of 21.7 km 2 , while an erosion surface of 7.5 km 2 is developed mostly at the southern river mouth.","PeriodicalId":439093,"journal":{"name":"Proceedings of ‏The International Conference on Research in Science and Technology","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128626242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Chemical Composition and Cytotoxicity Assessment of the Green Seaweed Caulerpa racemosa from Algerian West Coast 阿尔及利亚西海岸绿藻总状茎藻的化学成分及细胞毒性评价

Proceedings of ‏The International Conference on Research in Science and Technology Pub Date : 2020-03-20 DOI: 10.33422/RSTCONF.2020.03.91

L. Belkacemi

{"title":"Chemical Composition and Cytotoxicity Assessment of the Green Seaweed Caulerpa racemosa from Algerian West Coast","authors":"L. Belkacemi","doi":"10.33422/RSTCONF.2020.03.91","DOIUrl":"https://doi.org/10.33422/RSTCONF.2020.03.91","url":null,"abstract":"The objective of this study is to evaluate the chemical composition of the invasive green alga Caulerpa racemosa and to preliminary assess its possible toxicity by using the Brine shrimp lethality assay (BSLA). Caulerpa racemosa was harvested from the intertidal zone of Mostaganem coast (N 35°54'37.94\", E 0°3'17.37\") (Algeria). Dried seaweed was either used for chemical analyzes or subjected to Soxhlet extraction using methanol, chloroform, and hexane solvents. The toxicological assessment of the extracts was carried out on Artemia salina collected from the salt lake of Bethioua (Oran, Algeria). Mortality of nauplii was evaluated after 24 h of exposure to the different concentrations of tested extracts. The LC50 was determined by probit regression analysis and compared to Clarkson’s toxicity criteria. Caulerpa racemosa displayed a high content of total ash (17.25 ± 0.21 %) and dietary fibers (41.93 ± 6.80 %). Total lipid content was relatively high (4.03 ± 0.45 %) and chlorophyll a content was greater (20.00 ± 0.7 mg/100 g DW) compared to the chlorophyll b. Chloroform extract exhibited the higher contents of polyphenols (123.91 ± 1.46 mg gallic acid equivalent/g dry extract) and tannins (59.28 ± 5.43 mg catechin equivalent/g dry extract) (P<0.001). The BSLA revealed the non-toxicity of all the studied extracts and the lowest LC50 was recorded for methanol extract (1047.13 ppm). Finally, the interesting chemical composition of Caulerpa racemosa and its non-toxicity suggest its possible use as a nutraceutical food. However, in vivo tests are recommended to confirm its non-toxicity and assess its nutraceutical potential.","PeriodicalId":439093,"journal":{"name":"Proceedings of ‏The International Conference on Research in Science and Technology","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126594034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring Machine learning application in exhibition layout of museum 探索机器学习在博物馆陈列布置中的应用

Proceedings of ‏The International Conference on Research in Science and Technology Pub Date : 2020-03-20 DOI: 10.33422/RSTCONF.2020.03.89

L. Fan

{"title":"Exploring Machine learning application in exhibition layout of museum","authors":"L. Fan","doi":"10.33422/RSTCONF.2020.03.89","DOIUrl":"https://doi.org/10.33422/RSTCONF.2020.03.89","url":null,"abstract":". Continual revisions and enhancements to the presentation in museum will allow visitors engagement to remain high interest and acquire visiting benefits when interaction within the display objects. The layout task of objects in exhibition gallery of museum is quite complex, high-cost, time-consuming, and laborious manual process. It is essential and necessary to establish a customized recommendation scheme of exhibition spatial layouts to provide museum crews the configuration frameworks of gallery to improve the efficient of exhibition layout. According to the interactive experience model in museums, we suggest three dimensions: the visitors’ behavior, the role of objects, and the layout of space, will benefit to looking for affective and embodied procedures and physical principles of exhibition layout. On the other hand, the state-of-the-art machine learning of artificial intelligence has been widely applied in lots of professional fields (e.g. diagnosis, monitory, prediction, classification, interpretation, scheduling). According to the attributions of exhibition layout and the characteristic of machine learning methods, we suggest that machine learning is a great potential and powerful approach to build up a customized recommendation scheme of exhibition layouts based on the previous knowledge of layout, and it is worth to develop and implement in future research.","PeriodicalId":439093,"journal":{"name":"Proceedings of ‏The International Conference on Research in Science and Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129671474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0