{"title":"Analysis of the Effect of Climate Change on Flood Flows of Kemer Ağva River, Antalya","authors":"Tuğba Özkoca","doi":"10.36937/janset.2022.6576","DOIUrl":"https://doi.org/10.36937/janset.2022.6576","url":null,"abstract":"The environment and atmosphere are largely polluted due to increased urbanization, especially greenhouse gases from industrial and residential areas, and the trend of warming air on a global scale is increasing. In the event that global climate change persists for many years, it is expected that there may be significant increases in the severity, frequency and activity of hydrological natural disasters such as floods caused by these events, as well as extreme weather events. In recent years, Turkey has seen an increase in summer temperatures caused by climate change, a decrease in winter precipitation, and sudden and heavy rains and flood. Especially in the Western Mediterranean basin, heavy rainfall and flood events have started to be seen frequently due to climatic changes. In this study, current flood flow rates in Antalya Kemer Agva Stream and flood flow rates of 2050, 2075 and 2100 projections of HadGEM2-ES, MPI-ESM-MR and CNRM CM 5.1 climate models outputs were determined according to RCP 4.5 and RCP 8.5 scenarios. With this study, it has been revealed that the flood flows in the Kemer Agva basin will increase in the period until 2050 compared to the current situation, and will decrease in the periods of 2075 and 2100.","PeriodicalId":125578,"journal":{"name":"Journal of Nature, Science & Technology","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125376944","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}
{"title":"Ensemble Based Neural Network for the Classification of MURA Dataset","authors":"Mithun Ghosh","doi":"10.36937/janset.2021.004.001","DOIUrl":"https://doi.org/10.36937/janset.2021.004.001","url":null,"abstract":"The Musculoskeletal Radiographs (MURA) dataset, proposed by Stamford Machine Learning (ML) group, has 40,561 images of bone X-rays from 14,863 studies. The X-ray images belong to seven body areas of the upper extremity namely wrist, elbow, finger, humerus, forearm, hand, and shoulder. Radiologists have classified the data into two classes, namely normal and abnormal. Six board-certified Stanford radiologists labeled the data samples using most votes, which is considered the gold standard. The 169 layers deep model, introduced by the Stamford ML group, works well on a par with the gold standard except for the humerus radiographs, despite humerus data labeled with high accuracy. We propose to develop a comparatively shallower version of a neural network and a convolutional network with 10 hidden layers each in an Adaboost framework in the humerus data and the model performance is on par or sometimes superior to the Stamford ML group model. We evaluate the performance of our model using the validation error and Cohen’s kappa coefficients. We have shown that our modeling framework is much faster in terms of the model training time and as accurate compared to the 169 layers of deep neural network introduced by the Stamford ML group. Also, with increased resources, the performance of our model will increase.","PeriodicalId":125578,"journal":{"name":"Journal of Nature, Science & Technology","volume":"224 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122521456","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}
{"title":"Corporate Social Responsibility And Sustainability: A Perspective From The Oil And Gas Industry","authors":"","doi":"10.36937/janset.2021.002.004","DOIUrl":"https://doi.org/10.36937/janset.2021.002.004","url":null,"abstract":"Corporate social responsibility (CSR) is an extension of the corporate role which encompasses the economic, legal, ethical, and philanthropic responsibilities that a company must fulfill, such that it improves the overall quality of life of the community around it. Sustainable development (SD) on the other hand involves operations that have a minimal impact on the environment. However, in today’s global environment, governments around the world are implementing stricter environmental regulations and supporting higher standards of living for their citizens. This socially and environmentally conscious undertone has made it imperative for organizations to address issues related to CSR and SD seriously and in many cases with the highest urgency. Successful implementation CSR and CS strategies are very vital for oil and gas industries due to fact that these industries are very responsible for the global environment as well as these companies represent the top wealthy industries of the world. The three oil and gas industries (Shell, BP, and Total S.A.) that have been analyzed in this project work, demonstrate that their CS and CSR strategies are not the same and there is scope of improvement. From the comparative analysis, BP’s investment (0.8% of the net annual profit) in community development is very low compared to the investment in community development of Shell (5.5% of Net annual profit) and Total S.A. (4.77% of Net annual profit) which clearly indicates that BP’s CSR strategies are not sustainable also BP’s TBL aspects are not balanced in this case.","PeriodicalId":125578,"journal":{"name":"Journal of Nature, Science & Technology","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132429577","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}
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