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贝西克塔斯鱼市

设计家 2010年第6期 64-69页

作者： Gokhan Avcioglu Ozan Ertug Serkan Cedetas tahsin nanici zlem Avcioglu 张小千 Gokhan Avcioglu & GAD

项目名称:贝西克塔斯鱼市项目地点:土耳其,伊斯坦布尔竣工时间:2009年项目面积:320平方米设计公司:Gokhan Avcioglu & GAD设计师:Gokhan Avcioglu设计团队:Ozan Ertug,Serkan Cedetas,tahsin nanici客户:Besiktas Municipality摄影:zlem Avcioglu,Ozan Ertug文字提供:GAD文字翻译:张小千在古希腊,鱼市常常被称为"祭神"的地方。这些市场通常是开放式的。

关键词：鱼市设计师贝西土耳其项目名称文字翻译古希腊开放式设计公司市场

Prediction of Covid-19 Based on Chest X-Ray Images Using Deep Learning with CNN

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Computer Systems Science & Engineering 2022年第6期41卷 1223-1240页

作者： Anika tahsin Meem Mohammad Monirujjaman Khan Mehedi Masud Sultan Aljahdali Department of Electrical and Computer Engineering North South UniversityBashundharaDhaka1229Bangladesh Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia

The COVID-19 pandemic has caused trouble in people’s daily lives andruined several economies around the world, killing millions of people thus far. Itis essential to screen the affected patients in a timely and cost-effective manner inorder to fight this disease. This paper presents the prediction of COVID-19 withChest X-Ray images, and the implementation of an image processing systemoperated using deep learning and neural networks. In this paper, a Deep Learning,Machine Learning, and Convolutional Neural Network-based approach for predicting Covid-19 positive and normal patients using Chest X-Ray pictures is proposed. In this study, machine learning tools such as TensorFlow were used forbuilding and training neural nets. Scikit-learn was used for machine learning fromend to end. Various deep learning features are used, such as Conv2D, Dense Net,Dropout, Maxpooling2D for creating the model. The proposed approach had aclassification accuracy of 96.43 percent and a validation accuracy of 98.33 percentafter training and testing the X-Ray pictures. Finally, a web application has beendeveloped for general users, which will detect chest x-ray images either as covidor normal. A GUI application for the Covid prediction framework was run. Achest X-ray image can be browsed and fed into the program by medical personnelor the general public.

关键词： Covid-19 prediction covid-19 coronavirus normal deep learning convolutional neural network image processing chest x-ray

Characterisation and functional roles of a highly branched dextran produced by a bee pollen isolate Leuconostoc mesenteroides BI-20

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Food Bioscience 2022年第1期45卷 340-348页

作者： Mustafa tahsin Yilmaz Hümeyra Ispirli Osman Taylan Volkan Tasdemir Osman Sagdic Enes Dertli Department of Industrial Engineering Faculty of EngineeringKing Abdulaziz UniversityJeddahSaudi Arabia Central Research Laboratory Bayburt UniversityBayburtTurkey Science Application and Research Center Van Yuzuncu Yil UniversityVanTurkey Department of Food Engineering Faculty of Chemical and Metallurgical EngineeringYıldız Technical UniversityIstanbulTurkey

Lactic Acid Bacteria(LAB)from different niches can be responsible for the production of distinct exopolysaccharides(EPS)that might possess important structural and technological *** this respect,the aim of this study was to isolate an EPS producer LAB strain from bee pollen *** mesenteroides BI-20 with a slimy-mucoid colony morphology was identified from bee pollen and the structural,technological and functional characteristics of EPS produced by this strain were *** BI-20 was a highly branched dextran containing 20%(1→3)-linked α-D-glucose branches determined by ^(1)H and ^(13)C NMR *** presence of(1→6)/(1→3)-linkedα-D-glucose linkages in dextran BI-20 was also confirmed by FTIR *** BI-20,with a molecular weight of 1×10^(8) Da,possessed strong thermal properties,amorphous nature and highly branched and fibrous microstructural characteristics determined by DSC,TGA,XRD and SEM analysis,*** terms of functional roles,dextran BI-20 demonstrated strong antioxidant capacity detected by ABTS and CUPRAC ***,no digestion was observed in dextran BI-20 under simulated gastric *** of this study unveiled techno-functional characteristics of dextran BI-20 produced by a bee pollen isolate LAB strain.

关键词： Highly branched dextran LAB Exopolysaccharides(EPS) Techno-functional characteristics

Impact of COVID-19 on G20 countries:analysis of economic recession using data mining approaches

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Financial Innovation 2022年第1期8卷 2208-2237页

作者： Osman Taylan Abdulaziz S.Alkabaa Mustafa tahsin Yılmaz Department of Industrial Engineering Faculty of EngineeringKing Abdulaziz UniversityP.O.Box 80204Jeddah 21589Saudi Arabia

The G20 countries are the locomotives of economic growth,representing 64%of the global population and including 4.7 billion *** a monetary and market value index,real gross domestic product(GDP)is affected by several factors and reflects the economic development of *** study aimed to reveal the hidden economic patterns of G20 countries,study the complexity of related economic factors,and analyze the economic reactions taken by policymakers during the coronavirus disease of 2019(COVID-19)pandemic recession(2019–2020).In this respect,this study employed data-mining techniques of nonparametric classification tree and hierarchical clustering approaches to consider factors such as GDP/capita,industrial production,government spending,COVID-19 cases/population,patient recovery,COVID-19 death cases,number of hospital beds/1000 people,and percentage of the vaccinated population to identify clusters for G20 *** clustering approach can help policymakers measure economic indices in terms of the factors considered to identify the specific focus of influences on economic *** results exhibited significant findings for the economic effects of the COVID-19 pandemic on G20 countries,splitting them into three clusters by sharing different measurements and patterns(harmonies and variances across G20 countries).A comprehensive statistical analysis was performed to analyze endogenous and exogenous ***,the classification and regression tree method was applied to predict the associations between the response and independent factors to split the G-20 countries into different groups and analyze the economic *** such as GDP per capita and patient recovery of COVID-19 cases with values of$12,012 and 82.8%,respectively,were the most significant factors for clustering the G20 countries,with a correlation coefficient(R2)of 91.8%.The results and findings offer some crucial recommendations to handle pandemics in terms of the

关键词： Hierarchical clustering CART Economic recession Data mining COVID-19 G20 countries

A comparative study of the ATC-40 recommended and numerically derived M-φ relationship

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Earthquake Engineering and Engineering Vibration 2011年第4期10卷 547-552页

作者： Sifat Sharmeen Muin tahsin Reza Hossain Department of Civil Engineering Bangladesh University of Engineering and Technology

Nonlinear static analysis procedures are key tools in evaluating the performance of existing buildings and verifying the design of seismic retrofits in seismically active regions. In this procedure, nonlinear force-displacement or moment-curvature （M-φ） behavior needs to be defined. In the ATC-40 document, values of M-φ have been proposed to model elements in a nonlinear procedure. However, these values need to be investigated to determine if they are representative of actual values. In this paper, an attempt has been made to numerically derive M-φ curves to simulate actual performance. Then, these curves are compared with the ATC-40 recommended curves with respect to various parameters. The study indicated that ATC-40 suggested values are conservative in nature in most situations.

关键词： moment-curvature relationship conforming non-conforming ductility factor confinement ultimate curvature

Implementation of serverless cloud GIS platform for land valuation

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International Journal of Digital Earth 2021年第7期14卷 836-850页

作者： Muhammed Oguzhan Mete tahsin Yomralioglu Geomatics Engineering Department Istanbul Technical UniversityIstanbulTurkey

Cloud computing enables performing computations and analysis tasks and sharing services in web-based computer centres instead of local desktop *** of the most used areas of cloud computing is geographic information systems(GIS)*** Desktop GIS products are still used in the community frequently,Web GIS and Cloud GIS applications have drawn attention and have become more efficient for *** this study,a serverless Cloud GIS framework is implemented for the land valuation *** order to store,analyse,and share geospatial data,the Aurora Serverless PostgreSQL database is created on Amazon Web Services(AWS).While adopting Aurora Serverless PostgreSQL as a database management system,a simple point in polygon analysis conducted to compare the performances with Amazon Relational Database Service(RDS)*** showed that the serverless database responded to the query faster and scaled up during high workload to decrease ***,parcel vector data,which conveys ownership information and land values attributes,is shared directly from the PostGIS database as vector *** S3 and AWS Lambda services are used for storing and disseminating raster-based land value map *** visualize all shared data and maps through a web browser,open source web mapping library Mapbox GL JS is used.

关键词： Serverless cloud computing cloud GIS open source GIS real estate valuation value map

The Potential Efficacy of Glycyrrhizic Acid and Its Nanostructure Against Brown Rot of Peach fruits

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Phyton-International Journal of Experimental Botany 2023年第4期92卷 1139-1152页

作者： tahsin Shoala Basma H.Amin Ismail A.S.Rashid Fayz A.Abdel-Rahman Mohamed E.Khalil Khamis Youssef Environmental Biotechnology Department College of BiotechnologyMisr University for Science and Technology6th of October CityEgypt The Regional Center for Mycology and Biotechnology(RCMB) Al-Azhar UniversityCairo11435Egypt Plant Pathology Research Institute Agricultural Research CenterGiza12619Egypt

Production of peaches(Prunus persica(L.)Batsch)for both local market and export is increasing each year in *** rot disease,caused by Monilinia laxa and Monilinia fructigena,is considered one of the most important postharvest rots affecting peaches in Egypt and economic losses are *** activity of glycyrrhizic acid nanoparticles(GA-NPs)and glycyrrhizic acid(GA)at 0.2 and 0.4 mmol/L was investigated as a control for both these brown rot pathogens on peach fruits in both in vitro and in vivo *** the in vitro studies,GA-NPs were the most effective as shown by the ability to decrease linear growth of both brown rot pathogens in potato dextrose agar(PDA)amended with 0.4 mmol/L *** of *** exposed to 0.4 mmol/LGA showed mycelial deformations,nodule formation,detachment of the cell wall,shrinkage and inhomogeneous cytoplasmic materials with large *** of *** exposed to 0.4 mmol/LGA-NPs resulted in thinner and distorted hyphae,nodule formation,cell wall thinning,and *** GANPs and GA treatments improved fruit quality by maintaining firmness and total soluble solids(TSS).GA-NPs were more effective in decreasing decay incidence than their bulk *** 0.4 mmol/L GA-NPs completely inhibited the disease on naturally infected peach fruits for both seasons of 2018 and ***,0.4 mmol/L GA-NPs reduced the disease incidence in inoculated fruits by 95(***)and 88%(***)in 2018 season and 96(***)and 85%(***)in 2019 *** conclusion,GA-NPs could enhance the resistance of peaches against brown rot caused by *** and ***.

关键词： Prunus persica Monilinia laxa Monilinia fructigena glycyrrhizic acid peach postharvest

Neutrosophic N-Structures Applied to Sheffer Stroke BL-Algebras

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Computer Modeling in Engineering & Sciences 2021年第10期129卷 355-372页

作者： Tugce Katican tahsin Oner Akbar Rezaei Florentin Smarandache Department of Mathematics Ege UniversityIzmir35100Turkey Department of Mathematics Payame Noor UniversityTehran19395-4697Iran Department of Mathematics and Science University of New MexicoGallup87301NMUSA

In this paper,we introduce a neutrosophic N-subalgebra,a(ultra)neutrosophic N-filter,level sets of these neutrosophic N-structures and their properties on a Sheffer stroke *** defining a quasi-subalgebra of a Sheffer stroke BL-algebra,it is proved that the level set of neutrosophic N-subalgebras on the algebraic structure is its quasi-subalgebra and vice *** we show that the family of all neutrosophic N-subalgebras of a Sheffer stroke BL-algebra forms a complete distributive *** that a(ultra)neutrosophic N-filter of a Sheffer stroke BL-algebra is described,we demonstrate that every neutrosophic N-filter of a Sheffer stroke BL-algebra is its neutrosophic N-subalgebra but the inverse is generally not ***,it is presented that a level set of a(ultra)neutrosophic N-filter of a Sheffer stroke BL-algebra is also its(ultra)filter and the inverse is always ***,some features of neutrosophic N-structures on a Sheffer stroke BL-algebra are investigated.

关键词： Sheffer stroke BL-algebra (ultra)filter neutrosophic N-subalgebra (ultra)neutrosophic N-filter

Evaluating the Influence of Sea Level Rise on Beel Kapalia’s Livelihood and Local Adaptation Strategies: Perspectives from the Local Community

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Open Journal of Civil Engineering 2023年第4期13卷 617-636页

作者： Md. Rasheeq Rahman tahsin Tareque Seyedali Mirmotalebi Department of Civil Engineering Khulna University of Engineering & Technology (KUET) Khulna Bangladesh Department of Civil and Environmental Engineering Islamic University of Technology (IUT) Gazipur Bangladesh Department of Civil Engineering North Carolina Agricultural and Technical State University Greensboro North Carolina USA

Bangladesh is vulnerable to climate change-induced sea level rise due to its location and socioeconomic position. The study examines the Beel Kapalia region in polder no. 24 of the Monirampur upazila of Jessore district, Khulna division. To assess local attitudes on sea level rise-related permanent flooding, Kapalia, Monoharpur, Nehalpur, Balidaha, and Panchakori were polled. This flooding has disrupted residents’ lifestyles, making them vulnerable to increasing sea levels. Viability and adaptability were assessed using livelihood capitals. Participants’ thoughts and knowledge about their resilience in several livelihood factors were gathered using participatory rural appraisal (PRA) instruments and a questionnaire survey in the area. Major discoveries include the impact of permanent floods on Beel Kapalia’s livelihoods, vulnerability and resilience assessments in numerous villages, and community viewpoints on regional adaptation methods to mitigate these consequences. The study found that a sustained 30.5 cm inundation would reduce local human, natural, physical, financial, and social capital resilience to 69.6%, 30.7%, 69.1%, 68.9%, and 69.1%. A constant 61 cm inundation would lower resistance to 40.9%, 8.7%, 42.4%, 45.6%, and 43.8%. Residents believe they can weather a 30.5 cm inundation with local adaptation measures, but if the water level rises to 61 cm, they may be displaced.

关键词： Adaptation Beel Kapalia Climate Change Livelihood Capitals Sea Level Rise