Journal articles: 'Microsoft NET Framework Evaluation'

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MINCHIN, W., M. O'DONOVAN, F. BUCKLEY, D. A. KENNY, and L. SHALLOO. "Development of a decision support tool to evaluate the financial implications of cull cow finishing under different feeding strategies." Journal of Agricultural Science 148, no. 4 (April 8, 2010): 433–43. http://dx.doi.org/10.1017/s0021859610000213.

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SUMMARYThe objective of the current study was to develop, validate and describe a decision support system (DSS) to evaluate cull dairy cow finishing strategies. The DSS was developed within a Microsoft Excel framework. The purpose of a DSS is to assist the process of making accurate and repeatable calculations, assisting the decision on which cull cow finishing strategy is most profitable under individual farm circumstances. The model was based on data from two evaluation experiments including eight finishing strategies in total: ad libitum grass silage (GS); GS+3 kg concentrate (GS+3); GS+6 kg concentrate (GS+6); GS+9 kg concentrate (GS+9); ad libitum grass silage prior to ad libitum spring grass (GS+G); 0·75 grass silage and 0·25 straw prior to ad libitum spring grass (GS+S) and finally grass silage plus 6 kg concentrate dry matter (DM)/cow/day and milked twice daily prior to ad libitum spring grass (EXTLAC). Stochastic budgeting was included in the model to account for variability in key input and output variables on the overall profitability of various finishing strategies. The stochastic input and output variables included in the model were initial carcass value, feed strategy, concentrate cost and final carcass value. Net profit per cow was selected as the output distribution. The mean net profit per cow with the GS, GS+3, GS+6, GS+9, GS+G, GS+S and EXTLAC was €85·3, €73·7, €95·6, €58·5, €158·8 and €186·8 and €283·0, respectively. Profitability for the EXTLAC strategy was stochastically dominant to all other strategies evaluated meaning a higher level of profit and a lower level of risk is associated with the EXTLAC strategy. The optimal strategy of cull cow beef production depends greatly on the prevailing economic environment, purchase and sale price, milk price, feed costs, housing and labour.

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Lopes, Teresa, and Yonet Eracar. "TPS development using the Microsoft .NET framework." IEEE Instrumentation & Measurement Magazine 15, no. 4 (August 2012): 34–39. http://dx.doi.org/10.1109/mim.2012.6263982.

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Oljača, Marko. "INTERNACIONALIZACIJA I LOKALIZACIJA WEB APLIKACIJE RAZVIJENE KORIŠĆENJEM ASP.NET CORE MVC FRAMEWORK." Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 34, no. 01 (December 20, 2018): 89–92. http://dx.doi.org/10.24867/01be23oljaca.

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U okviru rada je izvršena analiza lokalizacije i internacionalizacije u okviru Microsoft tehnologija. Kreirana je web aplikacija korišćenjem ASP.NET Core MVC frameworka, a u procesu pravljenja iste prezentovani su pojmovi lokalizacije i internacionalizacije. Pošto je .NET Core sam po sebi relativno novi koncept u okviru Microsoft tehnologija početni deo rada se bavi samim razvojem te tehnologije. Zatim je objašnjeno kako u okviru .NET Core korišćenjem MVC frameworka možemo da kreiramo Web aplikaciju. Na kraju se u radu objašnjavaju tehnologije i alati koji se koriste za internacionalizaciju i lokalizaciju.

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Zhang, Xue Dong, Zi Mu Teng, and Dong Wang Zhao. "Research of the Database Access Technology Under.NET Framework." Applied Mechanics and Materials 644-650 (September 2014): 3077–80. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.3077.

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Microsoft China had announced that it would end on a Windows XP system support and maintenance in the April 8, 2014, progress in the new study. NET development environment, further research database development technology is very important. C# in. NET framework most popular development language, compared to other languages, which have simple, convenient, rapid development, etc.[1]. Based on data access technology under. NET Framework, which provides a number of features to improve the operation of data. This article also describes in the latest. NET Framework, a new language inheritance query technology LINQ.

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Ren, Dan, Yuan Ren, and Yang Fan. "Application Framework of Manufacturing Enterprise Information System Based .NET Smart Client." Applied Mechanics and Materials 135-136 (October 2011): 300–304. http://dx.doi.org/10.4028/www.scientific.net/amm.135-136.300.

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It first reviews the characteristic of manufacturing enterprises. Then it discusses the features and advantages of .Net smart client technology. Based on analysis of the manufacturing enterprises information system requirements, a new application framework of multi-tier distributed system was proposed, the framework model and tier deployment strategy are also given. The proposed framework is easy to be deployed and expanded, it also can be intelligent installation and update, and supports occasionally connected users，and easy to be reused by information system. Next, it introduces a method of how to design and build smart client application use Microsoft Application Block; it can simplify the coding efficiently. Last, the key technologies are demonstrated.

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Bai, Yanbing, Erick Mas, and Shunichi Koshimura. "Towards Operational Satellite-Based Damage-Mapping Using U-Net Convolutional Network: A Case Study of 2011 Tohoku Earthquake-Tsunami." Remote Sensing 10, no. 10 (October 12, 2018): 1626. http://dx.doi.org/10.3390/rs10101626.

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The satellite remote-sensing-based damage-mapping technique has played an indispensable role in rapid disaster response practice, whereas the current disaster response practice remains subject to the low damage assessment accuracy and lag in timeliness, which dramatically reduces the significance and feasibility of extending the present method to practical operational applications. Therefore, a highly efficient and intelligent remote-sensing image-processing framework is urgently required to mitigate these challenges. In this article, a deep learning algorithm for the semantic segmentation of high-resolution remote-sensing images using the U-net convolutional network was proposed to map the damage rapidly. The algorithm was implemented within a Microsoft Cognitive Toolkit framework in the GeoAI platform provided by Microsoft. The study takes the 2011 Tohoku Earthquake-Tsunami as a case study, for which the pre- and post-disaster high-resolution WorldView-2 image is used. The performance of the proposed U-net model is compared with that of deep residual U-net. The comparison highlights the superiority U-net for tsunami damage mapping in this work. Our proposed method achieves the overall accuracy of 70.9% in classifying the damage into “washed away,” “collapsed,” and “survived” at the pixel level. In future disaster scenarios, our proposed model can generate the damage map in approximately 2–15 min when the preprocessed remote-sensing datasets are available. Our proposed damage-mapping framework has significantly improved the application value in operational disaster response practice by substantially reducing the manual operation steps required in the actual disaster response. Besides, the proposed framework is highly flexible to extend to other scenarios and various disaster types, which can accelerate operational disaster response practice.

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Li, Liu, Guo Fei Zhang, and Tang Peng. "Research on Code Separation Technology in B/S Framework." Applied Mechanics and Materials 539 (July 2014): 369–73. http://dx.doi.org/10.4028/www.scientific.net/amm.539.369.

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As the most widely used B/S framework Management Information System in Microsoft .NET technology, the realization of code separation technology gives full play to the advantages of interface design and code design. Especially the code separation technology of ASP.NET makes the dream of web programmer for many years into reality the separation of page design and code design. Combined with code separation technology methods and technical realization, the paper discusses the application and research of code separation technology in B/S framework based on the application and research of code behind, user control and custom control.

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Gu, Rui, Jia Chen, and Min Gu. "A Proposal for a Simplified Database Access Framework Based on DAO.NET." Advanced Materials Research 846-847 (November 2013): 1716–19. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1716.

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A simplified database access framework, which originated from a vehicle tracking system, is introduced. This framework is developed on Microsoft .NET platform and uses DAO.NET as the supporting technology. Meanwhile, Design Patterns [ were adopted in analyzing, designing and developing. The platform not only works effectively as a data-accessing layer for the vehicle tracking system, but also realized the idea of linking to the database once, using for many times. The platform reduces the cost of database connection initialization and accelerates the responding speed to users.

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Zhang, Hong. "Residential Property Management Electronic System Design and Implementation." Applied Mechanics and Materials 411-414 (September 2013): 2622–25. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.2622.

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This article focuses on the "sun garden residential property management system design and realization of the development process, from feasibility studies to the system put into use in the documentation. Object-oriented analysis and design methods and tools, and advanced. NET technologies that described the system design and implementation. Development of this system. Net Framework 3.5-based platform using the ASP.NET + SQL Server 2005, six-story mode (GM layer, physical layer, interface layer, data access layer, business layer, presentation layer) to develop generic layer is mainly complete global support functions, the physical layer is responsible for packaging and delivery of data in the entire system, the interface layer is responsible for defining interfaces, data access layer is responsible for the interaction with the data source, data insert, delete, modify, and read data from the database operation, the business layer is responsible for business logic processing, responsible for the logical data generation, processing and conversion, the presentation layer is responsible for receiving user data, the output presented to the user, and access security authentication. Development environment for the Microsoft Visual Studio NET 2008. Use the Microsoft Visual Studio NET 2008 to achieve the logic code.

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Ye, Yan Xin, Jian Ming Cui, and Jian Ming Lui. "Achieving Message Board Function Based on Storage Services of the Windows Azure Platform." Applied Mechanics and Materials 380-384 (August 2013): 2411–14. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.2411.

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in order to study the development of the Windows Azure platform, the paper through the use of cloud computing, one of the platforms Windows Azure, using its Table Storage storage services,to realize a message board function; and realize a good combination of NET Framework and Windows Azure, and explore the Difference of the Microsoft Windows Azure cloud computing platform development and the difference between ordinary ASP.NET development.

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Li, Xin Liang, Hong Bo Zheng, and Shu Shen Zhang. "The Construction of Oil Spill Pollution Contingency Disposal System Based on .Net Framework and Oracle Database." Applied Mechanics and Materials 556-562 (May 2014): 5898–901. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.5898.

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In the process of oil production and transportation, oil spill accidents are usually occurred due to various reasons during the drilling platform exploration, oil tanker and pipeline transportation. After the oil spill accident, it is very important to provide effective disposal technology timely. This paper successfully constructed an Oil Spill Pollution Contingency Disposal System based on .NET framework, Oracle Database, ArcGIS Desktop and Microsoft Visual Studio. The system could not only offer the selection of various technology and tools in time, but also protect the nearby sensitive resources. The developed system makes a contribution to oil spill contingency response and increasing accident emergency disposal ability in our country.

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Medhi, Subhash, and Tulshi Bezboruah. "Investigations on implementation of e-ATM Web Services based on .NET technique." International Journal of Information Retrieval Research 4, no. 2 (April 2014): 41–56. http://dx.doi.org/10.4018/ijirr.2014040103.

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Web service is accepted by all communities of services due to its interoperability, flexibility of design and architecture. Improving performance is the key research point for developers and researchers. We propose to design, develop and implement a prototype research electronic automated teller machine web service to study the loads, performance and scalability of the service. The service is based on Visual Studio .NET framework. It is developed by using C# as programming language, Internet Information Service (Version: 2005) as web server and, Microsoft Structured Query Language as database server. To study its different aspects the service has been tested by deploying it on Mercury LoadRunner (Version 8.1). In this paper we will present the architecture, testing procedure, results of performance testing as well as results of statistical analysis on recorded data of the service.

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Barrett, William Martin, and Jun Yang. "Development of a chemical process modeling environment based on CAPE-OPEN interface standards and the Microsoft .NET framework." Computers & Chemical Engineering 30, no. 2 (December 2005): 191–201. http://dx.doi.org/10.1016/j.compchemeng.2005.08.017.

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Wang, Jian Guo, Qiang Ji, and Xiao Yu Jiang. "The Combined Development of Ogre and WPF Based on its Applications in the Field of Medical Education Software." Advanced Materials Research 403-408 (November 2011): 2296–99. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.2296.

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Ogre (Object-Oriented Graphics Rendering Engine) is a scenario-oriented, versatile 3D engine developed in C++ language. Its serves the purpose of allowing the developers easier and more direct usage of hardware acceleration in the development and applications of 3 dimensional graphics system. This library has hidden all details involved in bottom system library (for example: Direct 3D and OpenGL) and provided an interface based on world object and other intuitions. The Ogre engine affords developers an open source, Multi-Systems support as well as comprehensive 3D drawing engine abilities among other features. WPF was a user interface framework developed by Microsoft based on NET Framework 3.0 architecture basis. It has the advantage of allowing the programmer fast processing of complex controls and interfaces. Furthermore, it breaks the limitations in traditional MFC (Microsoft Foundation Class) format interface drawing. The purpose of this paper is to set forth answering the question of how to combine the applications of both technologies and realize the complete separation between interface engineers and engineers. In addition to improving working efficiency, how to develop robust application software that has visually pleasing interface for software companies.

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Xi, Cheng, Tan Chao, and Ling Lu. "Designation of Monitoring System with Multi-Touch Based on Configuration Software and Windows Presentation Foundation." Advanced Materials Research 756-759 (September 2013): 218–22. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.218.

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The monitoring system developed by traditional configuration software is extensively used in the industrial field, and application of keyboard & mouse and single-touch is the main operation mode. The multi-touch is a fresh human-computer interaction mode, which can provide the user with safer and more convenient operation experience. This design takes configuration software ControlEase (INSPEC) based on .Net framework in WINDOWS7 as development platform, and next-generation Microsoft graphics system development software WPF (Windows Presentation Foundation) is selected as development tools. WPF multi-touch control is realized based on .NET 4.0, which can be appropriately embedded in various kinds of the configuration software that run on different platforms. WPF multi-touch software frame is accomplished, which can combine with varieties of configuration software to make common configuration software in industrial application creatively own multi-touch functions.

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Wilsey, Biljana Belamaric, and Jared Keengwe. "Technology Integration Curriculum Framework for Effective Program Evaluation." International Journal of Information and Communication Technology Education 8, no. 1 (January 2012): 15–25. http://dx.doi.org/10.4018/jicte.2012010102.

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This article explores whether and to what extent a doctoral program in Instructional Technology in the College of Education at a public Midwestern university reflects technology integration curricular framework principles, including those about the nature of the Net Generation learners and their learning process. This evaluation model is grounded on the constructivist and social knowledge construction theoretical framework. By outlining a systematic approach and procedures for conducting this evaluation, the researchers provide the groundwork for similar evaluations at other institutions. This framework could be used by potential students to determine whether specific academic programs provided by different academic institutions are well suited to their learning needs as digital natives.

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Abdekhodaie, Ehsan, Javad Hatami, Hadi Bahrami Ehsan, and Reza Kormi-Nouri. "WordCommentsAnalyzer: A windows software tool for qualitative research." F1000Research 7 (May 3, 2018): 536. http://dx.doi.org/10.12688/f1000research.14819.1.

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There is a lack of free software that provides a professional and smooth experience in text editing and markup for qualitative data analysis. Word processing software like Microsoft Word provides a good editing experience, allowing the researcher to effortlessly add comments to text portions. However, organizing the keywords and categories in the comments can become a more difficult task when the amount of data increases. We present WordCommentsAnalyzer, a software tool that is written in C# using .NET Framework and OpenXml, which helps a qualitative researcher to organize codes when using Microsoft Word as the primary text markup software. WordCommentsAnalyzer provides an effective user interface to count codes, to organize codes in a code hierarchy, and to see various data extracts belonging to each code. We illustrate how to use the software by conducting a preliminary content analysis on Tweets with the #successfulaging hashtag. We hope this open-source software will facilitate qualitative data analysis by researchers who are interested in using Word for this purpose.

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Mackita, Masky, Soo-Young Shin, and Tae-Young Choe. "ERMOCTAVE: A Risk Management Framework for IT Systems Which Adopt Cloud Computing." Future Internet 11, no. 9 (September 10, 2019): 195. http://dx.doi.org/10.3390/fi11090195.

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Many companies are adapting cloud computing technology because moving to the cloud has an array of benefits. During decision-making, having processed for adopting cloud computing, the importance of risk management is progressively recognized. However, traditional risk management methods cannot be applied directly to cloud computing when data are transmitted and processed by external providers. When they are directly applied, risk management processes can fail by ignoring the distributed nature of cloud computing and leaving numerous risks unidentified. In order to fix this backdrop, this paper introduces a new risk management method, Enterprise Risk Management for Operationally Critical Threat, Asset, and Vulnerability Evaluation (ERMOCTAVE), which combines Enterprise Risk Management and Operationally Critical Threat, Asset, and Vulnerability Evaluation for mitigating risks that can arise with cloud computing. ERMOCTAVE is composed of two risk management methods by combining each component with another processes for comprehensive perception of risks. In order to explain ERMOCTAVE in detail, a case study scenario is presented where an Internet seller migrates some modules to Microsoft Azure cloud. The functionality comparison with ENISA and Microsoft cloud risk assessment shows that ERMOCTAVE has additional features, such as key objectives and strategies, critical assets, and risk measurement criteria.

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Akselrud, Lev, and Yuri Grin. "WinCSD: software package for crystallographic calculations (Version 4)." Journal of Applied Crystallography 47, no. 2 (March 11, 2014): 803–5. http://dx.doi.org/10.1107/s1600576714001058.

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The fourth version of the program packageWinCSDis multi-purpose computer software for crystallographic calculations using single-crystal and powder X-ray and neutron diffraction data. The software environment and the graphical user interface are built using the platform of the Microsoft .NET Framework, which grants independence from changing Windows operating systems and allows for transferring to other operating systems. Graphic applications use the three-dimensional OpenGL graphics language.WinCSDcovers the complete spectrum of crystallographic calculations, including powder diffraction pattern deconvolution, crystal structure solution and refinement in 3 + dspace, refinement of the multipole model and electron density studies from diffraction data, and graphical representation of crystallographic information.

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Ana, P., and PT Bukie. "Design and implementation of online examination administration system for universities." Global Journal of Mathematical Sciences 12, no. 1 (January 19, 2015): 39–51. http://dx.doi.org/10.4314/gjmas.v12i1.16.

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Online examination system is a web-based examination system where examination is taken online i.e. through the internet or intranet using computer system. It is an effective solution for mass education evaluation. We have developed an online examination system based on a Browser/Server framework using Microsoft Visual Studio 2008 for the design, C# 3.5 for coding, and Microsoft SQL Server as database. ASP.NET is the preferred web technology. The system carries out the examination and auto-grading for multiple choice questions which is feed into the system.KEY WORDS: Online, Examination, System, Auto-grading, Web-based.

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Zhou, L., E. W. He, J. C. Wang, D. H. Chen, and Q. Z. Chen. "Algorithm and Realization of Wind Power Prediction System." Advanced Materials Research 748 (August 2013): 439–43. http://dx.doi.org/10.4028/www.scientific.net/amr.748.439.

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The application of wind power prediction system (WPPS) contributes to security economic dispatching of power grid and stable operation of wind farm. This paper established short-term prediction model based on BP neural network and ultrashort-term prediction model based on improved time-series algorithm according to Xichang Wind Farm Phase I Project. A new probability model using two consecutive power points before prediction time was built to improve the traditional time-series algorithm. The system framework was designed. C# Language and SQL Server 2008 were taken to develop the system on the Microsoft .net platform. The WPPS uses distributed architecture, realizing seamless connection with the energy management system (EMS) of Xichang dispatching department.

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Xia, Yunni, H. P. Wang, Y. Huang, and L. Yuan. "A Stochastic Model for Workflow QoS Evaluation." Scientific Programming 14, no. 3-4 (2006): 251–65. http://dx.doi.org/10.1155/2006/872109.

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Quality (QoS) prediction is one of the most important research topics of workflow. In this paper, we propose a stochastic model to evaluate QoS (make-span, reliability and cost) of workflow systems based on QWF-net, which extends traditional WF-net by associating tasks with firing-rate, failure-rate and cost-coefficient. Through a case study, we show that our framework is capable of modeling real-world workflow-based application. Also, Monte-carlo simulation in the case study indicates our analytical methods are consistent with simulation. We also present a sensitivity analysis technique to identify QoS bottleneck.The paper concludes with a comparison between our approach and related work.

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Pain, Oliver, Kylie P. Glanville, Saskia P. Hagenaars, Saskia Selzam, Anna E. Fürtjes, Héléna A. Gaspar, Jonathan R. I. Coleman, et al. "Evaluation of polygenic prediction methodology within a reference-standardized framework." PLOS Genetics 17, no. 5 (May 4, 2021): e1009021. http://dx.doi.org/10.1371/journal.pgen.1009021.

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The predictive utility of polygenic scores is increasing, and many polygenic scoring methods are available, but it is unclear which method performs best. This study evaluates the predictive utility of polygenic scoring methods within a reference-standardized framework, which uses a common set of variants and reference-based estimates of linkage disequilibrium and allele frequencies to construct scores. Eight polygenic score methods were tested: p-value thresholding and clumping (pT+clump), SBLUP, lassosum, LDpred1, LDpred2, PRScs, DBSLMM and SBayesR, evaluating their performance to predict outcomes in UK Biobank and the Twins Early Development Study (TEDS). Strategies to identify optimal p-value thresholds and shrinkage parameters were compared, including 10-fold cross validation, pseudovalidation and infinitesimal models (with no validation sample), and multi-polygenic score elastic net models. LDpred2, lassosum and PRScs performed strongly using 10-fold cross-validation to identify the most predictive p-value threshold or shrinkage parameter, giving a relative improvement of 16–18% over pT+clump in the correlation between observed and predicted outcome values. Using pseudovalidation, the best methods were PRScs, DBSLMM and SBayesR. PRScs pseudovalidation was only 3% worse than the best polygenic score identified by 10-fold cross validation. Elastic net models containing polygenic scores based on a range of parameters consistently improved prediction over any single polygenic score. Within a reference-standardized framework, the best polygenic prediction was achieved using LDpred2, lassosum and PRScs, modeling multiple polygenic scores derived using multiple parameters. This study will help researchers performing polygenic score studies to select the most powerful and predictive analysis methods.

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Rodriguez, Ricardo J., Simona Bernardi, and Armin Zimmermann. "An Evaluation Framework for Comparative Analysis of Generalized Stochastic Petri Net Simulation Techniques." IEEE Transactions on Systems, Man, and Cybernetics: Systems 50, no. 8 (August 2020): 2834–44. http://dx.doi.org/10.1109/tsmc.2018.2837643.

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Abdekhodaie, Ehsan, Javad Hatami, Hadi Bahrami Ehsan, and Reza Kormi-Nouri. "WordCommentsAnalyzer: A windows software tool for qualitative research." F1000Research 7 (September 4, 2018): 536. http://dx.doi.org/10.12688/f1000research.14819.2.

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There is a lack of free software that provides a professional and smooth experience in text editing and markup for qualitative data analysis. Word processing software like Microsoft Word provides a good editing experience, allowing the researcher to effortlessly add comments to text portions. However, organizing the keywords and categories in the comments can become a more difficult task when the amount of data increases. We present WordCommentsAnalyzer, a software tool that is written in C# using .NET Framework and OpenXml, which helps a qualitative researcher to organize codes when using Microsoft Word as the primary text markup software. WordCommentsAnalyzer provides an effective user interface to count codes, to organize codes in a code hierarchy, and to see various data extracts belonging to each code. It also offers basic visualization tools. We illustrate how to use this software by conducting a preliminary content analysis on Tweets with the #successfulaging hashtag. We also demonstrate that the software has satisfactory performance on a large dataset of Iranian journals abstracts. We hope this open-source software will facilitate qualitative data analysis by researchers who are interested in using Word for this purpose.

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Mansour, Nashat, and Wael Statieh. "Regression Test Selection for C# Programs." Advances in Software Engineering 2009 (July 2, 2009): 1–10. http://dx.doi.org/10.1155/2009/535708.

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We present a regression test selection technique for C# programs. C# is fairly new and is often used within the Microsoft .Net framework to give programmers a solid base to develop a variety of applications. Regression testing is done after modifying a program. Regression test selection refers to selecting a suitable subset of test cases from the original test suite in order to be rerun. It aims to provide confidence that the modifications are correct and did not affect other unmodified parts of the program. The regression test selection technique presented in this paper accounts for C#.Net specific features. Our technique is based on three phases; the first phase builds an Affected Class Diagram consisting of classes that are affected by the change in the source code. The second phase builds a C# Interclass Graph (CIG) from the affected class diagram based on C# specific features. In this phase, we reduce the number of selected test cases. The third phase involves further reduction and a new metric for assigning weights to test cases for prioritizing the selected test cases. We have empirically validated the proposed technique by using case studies. The empirical results show the usefulness of the proposed regression testing technique for C#.Net programs.

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Zhao, Hua Dong, Guo Ning Liu, Qian Qian Guo, Sheng Gang Ma, Wei Yang, and Cheng Li. "Architecture Design for the Hydraulic Engineering Administration and Water Resource Management System." Advanced Materials Research 616-618 (December 2012): 2219–22. http://dx.doi.org/10.4028/www.scientific.net/amr.616-618.2219.

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In an effort to help meet growing demands being placed on available water supplies, the evaluation of the healthy conditions of the hydraulic engineering in service, monitoring of the real-time state of hydraulic engineering being built, dealing with the water management for agricultural irrigation as well as on the information about the experts and personnel(s) involving the previously mentioned business, a comprehensive system, consisting of the hardware configuration and software system, has been developed and is being put in use now. The software system is proposed to be developed on the NET system and the SQL System of Microsoft.

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Babadogan, Berk, and Mustafa Cem Babadogan. "Cross-platform application development for measuring program competencies and learning outcomes in the bologna process." New Trends and Issues Proceedings on Humanities and Social Sciences 5, no. 5 (September 13, 2018): 124–28. http://dx.doi.org/10.18844/prosoc.v5i5.3687.

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This application forecasts learning outcomes from a sentence based on sentence’s verb to detect outcome learning outcomes. Application uses .NET Core API & .NET Standard technology for possible future multi-platform support. It uses Bloom’s taxonomies to determine the potential learning outcomes and export the final document as a “. json” file which is a special text format. One data package for a sentence is including these titles: Methods,Techniques,Approaches, Strategies,Classifications,Measure & Analysis and learning outcomes forecasts underneath these titles. According to the previous version, the changes:UI transformed to new design language “Fluent Design”, which is introduced by Microsoft.Assistant mode for one sentence with Q&A style chat UI.Support for dictionary in different areas.Keywords: Bologna process, measurement and evaluation, learning outcomes forecast program, acquired learning outcomes, cross platform development, xamarin framework, .net core, .net standard, uwp, cocoa framework

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Chen, Xinhai, Jie Liu, Chunye Gong, Shengguo Li, Yufei Pang, and Bo Chen. "MVE-Net: An Automatic 3-D Structured Mesh Validity Evaluation Framework Using Deep Neural Networks." Computer-Aided Design 141 (December 2021): 103104. http://dx.doi.org/10.1016/j.cad.2021.103104.

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Lobachev, Ivan M., Svitlana G. Antoshchuk, and Mykola A. Hodovychenko. "DISTRIBUTED DEEP LEARNING FRAMEWORK FOR SMART BUILDING TRANSDUCER NETWORK." Applied Aspects of Information Technology 4, no. 2 (June 30, 2021): 127–39. http://dx.doi.org/10.15276/aait.02.2021.1.

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This work is devoted to the development of a distributed framework based on deep learning for processing data from various sensors that are generated by transducer networks that are used in the field of smart buildings. The proposed framework allows you to process data that comes from sensors of various types to solve classification and regression problems. The framework architecture consists of several subnets: particular convolutional net that handle input from the same type of sensors, a single convolutional fusion net that processes multiple outputs of particular convolutional nets. Further, the result of a single convolutional fusion net is fed to the input of a recurrent net, which allows extracting meaningful features from time sequences. The result of the recurrent net opera- tion is fed to the output layer, which generates the framework output based on the type of problem being solved. For the experimental evaluation of the developed framework, two tasks were taken: the task of recognizing human actions and the task of identifying a person by movement. The dataset contained data from two sensors (accelerometer and gyroscope), which were collected from 9 users who performed 6 actions. A mobile device was used as the hardware platforms, as well as the Edison Compute Module hardware device. To compare the results of the work, variations of the proposed framework with different architectures were used, as well as third-party approaches based on various methods of machine learning, including support machines of vectors, a random forest, lim- ited Boltzmann machines, and so on. As a result, the proposed framework, on average, surpassed other algorithms by about 8% in three metrics in the task of recognizing human actions and turned out to be about 13% more efficient in the task of identifying a per- son by movement. We also measured the power consumption and operating time of the proposed framework and its analogues. It was found that the proposed framework consumes a moderate amount of energy, and the operating time can be estimated as acceptable.

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Makarenko, E. A. "NET PROFIT OF THE SUPPLIER IN THE RISK MANAGEMENT SYSTEM OF PURCHASING INSURANCE SERVICES." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 11/4, no. 131 (2022): 124–31. http://dx.doi.org/10.36871/ek.up.p.r.2022.11.04.018.

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The article presents options for using the indicator of the insurer’s net profit in risk management as a subcriteria for assessing the financial condition of a potential executor of a contract for insurance services in the framework of competitive procurement (both public and commercial). The options for using this procurement indicator in both absolute and relative values within time series are considered. Conclusions are drawn about the main directions of using net profit in insurance companies and the need to systematize the methodology of its evaluation in the framework of competitive procurement to increase their transparency and reduce the corruption component.

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Oğuz, Emin Oğuzhan, Erdinç Şahin Çonkur, and Murat Sari. "SHTEREOM I SIMPLE WINDOWS® BASED SOFTWARE FOR STEREOLOGY. VOLUME AND NUMBER ESTIMATIONS." Image Analysis & Stereology 26, no. 1 (May 3, 2011): 45. http://dx.doi.org/10.5566/ias.v26.p45-50.

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Stereology has been earlier defined by Wiebel (1970) to be: "a body of mathematical methods relating to three dimensional parameters defining the structure from two dimensional measurements obtainable on sections of the structure." SHTEREOM I is a simple windows-based software for stereological estimation. In this first part, we describe the implementation of the number and volume estimation tools for unbiased design-based stereology. This software is produced in Visual Basic and can be used on personal computers operated by Microsoft Windows® operating systems that are connected to a conventional camera attached to a microscope and a microcator or a simple dial gauge. Microsoft NET Framework version 1.1 also needs to be downloaded for full use. The features of the SHTEREOM I software are illustrated through examples of stereological estimations in terms of volume and particle numbers for different magnifications (4X–100X). Point-counting grids are available for area estimations and for use with the most efficient volume estimation tool, the Cavalieri technique and are applied to Lizard testicle volume. An unbiased counting frame system is available for number estimations of the objects under investigation, and an on-screen manual stepping module for number estimations through the optical fractionator method is also available for the measurement of increments along the X and Y axes of the microscope stage for the estimation of rat brain hippocampal pyramidal neurons.

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Ge, Panpan, Jun He, Shuhua Zhang, Liwei Zhang, and Jiangfeng She. "An Integrated Framework Combining Multiple Human Activity Features for Land Use Classification." ISPRS International Journal of Geo-Information 8, no. 2 (February 15, 2019): 90. http://dx.doi.org/10.3390/ijgi8020090.

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Urban land use information is critical to urban planning, but the increasing complexity of urban systems makes the accurate classification of land use extremely challenging. Human activity features extracted from big data have been used for land use classification, and fusing different features can help improve the classification. In this paper, we propose a framework to integrate multiple human activity features for land use classification. Features were fused by constructing a membership matrix reflecting the fuzzy relationship between features and land use types using the fuzzy c-means (FCM) clustering method. The classification results were obtained by the fuzzy comprehensive evaluation (FCE) method, which regards the membership matrix as the fuzzy evaluation matrix. This framework was applied to a case study using taxi trajectory data from Nanjing, and the outflow, inflow, net flow and net flow ratio features were extracted. A series of experiments demonstrated that the proposed framework can effectively fuse different features and increase the accuracy of land use classification. The classification accuracy achieved 0.858 (Kappa = 0.810) when the four features were fused for land use classification.

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Saleem, Jason J., Kyle Maddox, Jennifer Herout, and Kurt Ruark. "Parallel Assessment Tracks for Human-Centered Design (PATH): A Framework for Transitioning to a New Health Information Technology System." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65, no. 1 (September 2021): 294–98. http://dx.doi.org/10.1177/1071181321651050.

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This practice-oriented paper presents a human-centered design (HCD) framework that we developed to perform a comprehensive evaluation of a new health information technology (HIT) system under development, intended to replace a legacy system. The Department of Veterans Affairs (VA) Veteran Crisis Line (VCL) program provides a vital service in crisis intervention and suicide prevention. VCL staff rely on a Customer Relationship Management (CRM) legacy system, Medora. VCL intended to replace Medora with Microsoft Dynamics 365 (D365) CRM system. Due to wide-spread criticism of D365, the VA Human Factors Engineering (HFE) team engaged in a multi-study, mixed-method HCD evaluation to investigate the legacy system and intended replacement in terms of ability to support VCL staff needs. The HCD framework we developed to perform this evaluation may be adapted for other large-scale HIT transitions and may provide human factors practitioners with guidance to make evidence-based decisions to support (or abandon) such transitions.

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Hanif, Muhammad, Muhammad Atif Tahir, and Muhammad Rafi. "VRBagged-Net: Ensemble Based Deep Learning Model for Disaster Event Classification." Electronics 10, no. 12 (June 11, 2021): 1411. http://dx.doi.org/10.3390/electronics10121411.

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A flood is an overflow of water that swamps dry land. The gravest effects of flooding are the loss of human life and economic losses. An early warning of these events can be very effective in minimizing the losses. Social media websites such as Twitter and Facebook are quite effective in the efficient dissemination of information pertinent to any emergency. Users on these social networking sites share both textual and rich content images and videos. The Multimedia Evaluation Benchmark (MediaEval) offers challenges in the form of shared tasks to develop and evaluate new algorithms, approaches and technologies for explorations and exploitations of multimedia in decision making for real time problems. Since 2015, the MediaEval has been running a shared task of predicting several aspects of flooding and through these shared tasks, many improvements have been observed. In this paper, the classification framework VRBagged-Net is proposed and implemented for flood classification. The framework utilizes the deep learning models Visual Geometry Group (VGG) and Residual Network (ResNet), along with the technique of Bootstrap aggregating (Bagging). Various disaster-based datasets were selected for the validation of the VRBagged-Net framework. All the datasets belong to the MediaEval Benchmark Workshop, this includes Disaster Image Retrieval from Social Media (DIRSM), Flood Classification for Social Multimedia (FCSM) and Image based News Topic Disambiguation (INTD). VRBagged-Net performed encouraging well in all these datasets with slightly different but relevant tasks. It produces Mean Average Precision at different levels of 98.12, and Average Precision at 480 of 93.64 on DIRSM. On the FCSM dataset, it produces an F1 score of 90.58. Moreover, the framework has been applied on the dataset of Image-Based News Topic Disambiguation (INTD), and exceeds the previous best result by producing an F1 evaluation of 93.76. The VRBagged-Net with a slight modification also ranked first in the flood-related Multimedia Task at the MediaEval Workshop 2020.

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Liu, Xiaoli, Ruoqi Yin, and Jianqin Yin. "Attention V-Net: A Modified V-Net Architecture for Left Atrial Segmentation." Applied Sciences 12, no. 8 (April 8, 2022): 3764. http://dx.doi.org/10.3390/app12083764.

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We propose a fully convolutional neural network based on the attention mechanism for 3D medical image segmentation tasks. It can adaptively learn to highlight the salient features of images that are useful for image segmentation tasks. Some prior methods enhance accuracy using multi-scale feature fusion or dilated convolution, which is basically artificial and lacks the flexibility of the model itself. Therefore, some works proposed the 2D attention gate module, but these works process 2D medical slice images, ignoring the correlation between 3D image sequences. In contrast, the 3D attention gate can comprehensively use the information of three dimensions of medical images. In this paper, we propose the Attention V-Net architecture, which uses the 3D attention gate module, and applied it to the left atrium segmentation framework based on semi-supervised learning. The proposed method is evaluated on the dataset of the 2018 left atrial challenge. The experimental results show that the Attention V-Net obtains improved performance under evaluation indicators, such as Dice, Jaccard, ASD (Average surface distance), and 95HD (Hausdorff distance). The result indicates that the model in this paper can effectively improve the accuracy of left atrial segmentation, therefore laying the foundation for subsequent work such as in atrial reconstruction. Meanwhile, our model is of great significance for assisting doctors in treating cardiovascular diseases.

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Mole, R. H. "The Cost of Capital for Financial Evaluation of Plant and Machinery Capital Proposals." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 203, no. 1 (February 1989): 57–62. http://dx.doi.org/10.1243/pime_proc_1989_203_047_02.

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This paper makes the case for the close involvement of engineers in the financial appraisal of proposals for capital expenditure on plant and machinery. Post-tax assessments are now essential for the great majority of companies and this requires a coherent analytical framework which encompasses both the tax cash flows and the impact of tax upon the cost of capital in an inflationary environment. This paper deals with the impact of taxation upon the cost of capital, the discount rate and the yield (internal rate of return) which forms an essential component of modern methods of discounted cash flow financial appraisal. A companion paper considers tax cash flows and shows that the net present value discounted at the net cost of capital may be distorted in comparison to the pre-tax NPV discounted at the gross cost of capital.

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Xie, Zhikun, Jun Shi, Yihang Zhou, Xiaqing Yang, Wenxuan Guo, and Xiaoling Zhang. "S2-PCM: Super-Resolution Structural Point Cloud Matching for High-Accuracy Video-SAR Image Registration." Remote Sensing 14, no. 17 (September 1, 2022): 4302. http://dx.doi.org/10.3390/rs14174302.

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In this paper, the super-resolution structural point cloud matching (S2-PCM) framework is proposed for video synthetic aperture radar (SAR) inter-frame registration, which consists of a feature recurrence super-resolution network (FRSR-Net), structural point cloud extraction network (SPCE-Net) and robust point matching network (RPM-Net). FRSR-Net is implemented by integrating the feature recurrence structure and residual dense block (RDB) for super-resolution enhancement, SPCE-Net is implemented by training a U-Net with data augmentation, and RPM-Net is applied for robust point cloud matching. Experimental results show that compared with the classical SIFT-like algorithms, S2-PCM achieves higher registration accuracy for video-SAR images under diverse evaluation metrics, such as mutual information (MI), normalized mutual information (NMI), entropy correlation coefficient (ECC), structural similarity (SSIM), etc. The proposed FRSR-Net can significantly improve the quality of video-SAR images and point cloud extraction accuracy. Combining FRSR-Net with S2-PCM, we can obtain higher inter-frame registration accuracy, which is crucial for moving target detection and shadow tracking.

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Baranova, T. I. "Construction of a simulation modeling systemfor evaluation of small business entity development strategy in conditions of crisis." Вестник гражданских инженеров 17, no. 1 (2020): 198–204. http://dx.doi.org/10.23968/1999-5571-2020-17-1-198-204.

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The article considers the approach to constructing of a simulation modeling system for evaluation of small business entity (SBE) development strategy in conditions of crisis phenomena in the economy. Within the framework of this system, in order to evaluate the development strategy, basing on the monitoring data, it is proposed to analyze the dynamics of net profit and value of the SBE.

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Pataky, Reka, and Dean Regier. "OP68 Methods For The Economic Evaluation Of Precision Medicine." International Journal of Technology Assessment in Health Care 34, S1 (2018): 24–25. http://dx.doi.org/10.1017/s0266462318001101.

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Introduction:Methods that accommodate heterogeneity in outcomes are not widely used in economic evaluation. With the growth of precision medicine (PM), where choice of treatment is informed by the molecular characteristics of the patient or disease, we expect to see greater heterogeneity in effectiveness and cost of interventions. Our objective was to compare analytical frameworks for valuing heterogeneity in economic evaluation, and consider their strengths and weaknesses for applications in PM.Methods:We conducted a literature review to identify papers that proposed an analytical framework for economic evaluation of a health intervention, and that placed a value on heterogeneous effects. We compared the frameworks considering the purpose of the analysis, including where in the product lifecycle the framework could be used, the types of PM interventions where the framework could be applied, and its ability to address methodological challenges of evaluating PM.Results:Five analytical frameworks were identified: covariate adjustment methods, value of stratification, value of heterogeneity (VoH), expected value of individualized care (EVIC), and loss with respect to efficient diffusion (LED) metrics. Each framework addresses a slightly different research question, and is suited to different settings and interventions. With the exception of covariate adjustment, all focus on maximizing net benefit within certain constraints and quantify the opportunity cost of ignoring heterogeneity. Only VoH considers the relationship between heterogeneity and uncertainty, and no framework explicitly includes the cost or uncertainty associated with identifying subgroups.Conclusions:The ability to value heterogeneity is a critical component of economic evaluations of PM. The choice of an appropriate analytical framework will help strengthen the quality of economic evidence available to support health technology assessment of PM technologies, informing PM adoption decisions, and supporting efficient allocation of health care resources.

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Chen, Qing Jun, Da Xin Liu, Inamullah Khan, Jian Cai, and Fan Bai. "Application of SAP2000 API and .NET Framework for Reliability Assessment of RC Structures." Applied Mechanics and Materials 578-579 (July 2014): 1482–88. http://dx.doi.org/10.4028/www.scientific.net/amm.578-579.1482.

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Based on the results of integral structure analysis, a practical program for the reliability analysis of the members is introduced for engineering application. The .NET framework and SAP2000 API were combined to develop this program. The probability distribution parameters of the load and the material are the input parameters and then based on the integral structure analysis results, by combining the Monte Carlo simulation methods and the JC methods, the probability distribution of the load effects and the resistance of the members can be calculated, thus the reliability indices of each member could be obtained. Furthermore, an example was introduced and the comparative study between this proposed method and the conventional method for evaluation of a structure was carried out. The results show that it is a feasible method to evaluate the bearing capacity of a structure by exploiting reliability indices directly and this method can offer more quantitative reliability indicators of the structures.

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Ismail, Heba, Adel Khelifi, and Saad Harous. "A Cognitive Style Based Framework for Usability Evaluation of Online Lecturing Platforms – A Case Study on Zoom and Teams." International Journal of Engineering Pedagogy (iJEP) 12, no. 1 (February 10, 2022): 104–22. http://dx.doi.org/10.3991/ijep.v12i1.25295.

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Recently, Zoom and Microsoft Teams have emerged as the most common tools for lecturing activities in higher education institutions. The fact that these platforms were not originally developed for educational purposes resulted in a significant reduction in learning effectiveness, especially in STEM subjects that require a lot of practical knowledge. Despite the enhancements and updates made to these platforms, they have failed to meet the learning effectiveness criteria. A major hindering to learning effectiveness on such systems can be traced not only to the absence of learning-related features but also to their usability. In this research, we propose a framework for evaluating the usability of online lecturing platforms. The proposed framework introduces a new set of heuristics that are specifically designed for lecturing activities and considers VAK learning styles. Since students with different learning styles learn differently, we developed the first cognitive style-based usability heuristics that can reliably assess the usability of online learning environments for various types of learners. We present a case study that uses the suggested evaluation framework to assess the usability of Zoom and Teams in higher education lecturing activities. The findings of this study, however, can be applied to almost any online lecture platform.

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Loew, A., J. Peng, and M. Borsche. "High resolution land surface fluxes from satellite data (HOLAPS v1.0): evaluation and uncertainty assessment." Geoscientific Model Development Discussions 8, no. 12 (December 21, 2015): 10783–841. http://dx.doi.org/10.5194/gmdd-8-10783-2015.

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Abstract. Surface water and energy fluxes are essential components of the Earth system. Surface latent heat fluxes provide major energy input to the atmosphere. Despite the importance of these fluxes, state-of-the-art datasets of surface energy and water fluxes largely differ. The present paper introduces a new framework for the estimation of surface energy and water fluxes at the land surface, which allows for temporally and spatially high resolved flux estimates at the global scale (HOLAPS). The framework maximizes the usage of existing long-term satellite data records and ensures internally consistent estimates of the surface radiation and water fluxes. The manuscript introduces the technical details of the developed framework and provides results of a comprehensive sensitivity and evaluation study. Overall the results indicate very good agreement with in situ observations when compared against 49 FLUXNET stations worldwide. Largest uncertainties of latent heat flux and net radiation were found to result from uncertainties in the global solar radiation flux obtained from satellite data products.

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El-Azouzi, Rachid, Essaid Sabir, Mohammed Raiss-El-Fenni, and Sujit Kumar Samanta. "A Unified NET-MAC-PHY Cross-layer Framework for Performance Evaluation of Multi-hop Ad hoc WLANs." ICST Transactions on Mobile Communications and Applications 1, no. 4 (September 24, 2014): e6. http://dx.doi.org/10.4108/mca.1.4.e6.

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Li, Xiao-Yang, Yue Liu, Yan-Hui Lin, Liang-Hua Xiao, Enrico Zio, and Rui Kang. "A generalized petri net-based modeling framework for service reliability evaluation and management of cloud data centers." Reliability Engineering & System Safety 207 (March 2021): 107381. http://dx.doi.org/10.1016/j.ress.2020.107381.

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Wu, Hongyu, Qiaozhu Zhai, Xiaohong Guan, Feng Gao, and Hongxing Ye. "Security-Constrained Unit Commitment Based on a Realizable Energy Delivery Formulation." Mathematical Problems in Engineering 2012 (2012): 1–22. http://dx.doi.org/10.1155/2012/178193.

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Security-constrained unit commitment (SCUC) is an important tool for independent system operators in the day-ahead electric power market. A serious issue arises that the energy realizability of the staircase generation schedules obtained in traditional SCUC cannot be guaranteed. This paper focuses on addressing this issue, and the basic idea is to formulate the power output of thermal units as piecewise-linear function. All individual unit constraints and systemwide constraints are then reformulated. The new SCUC formulation is solved within the Lagrangian relaxation (LR) framework, in which a double dynamic programming method is developed to solve individual unit subproblems. Numerical testing is performed for a 6-bus system and an IEEE 118-bus system on Microsoft Visual C# .NET platform. It is shown that the energy realizability of generation schedules obtained from the new formulation is guaranteed. Comparative case study is conducted between LR and mixed integer linear programming (MILP) in solving the new formulation. Numerical results show that the near-optimal solution can be obtained efficiently by the proposed LR-based method.

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Serov, V. M., and Y. P. Tikhonov. "Methodology for the Evaluation of the Economic Effectiveness of Investment Projects." Zhurnal Economicheskoj Teorii 18, no. 3 (2021): 433–47. http://dx.doi.org/10.31063/2073-6517/2021.18-3.8.

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This article discusses the problem of evaluating the economic efficiency of investment in production capital. The article provides an overview of the theoretical and methodological framework developed by Russian scholars and practitioners. In the Soviet period, when the model of centrally planned economy prevailed, the evaluation methodology comprised the following methods: comparing the result of capital investment and its amount (calculation of the coefficient of capital investment effectiveness); comparing the coefficient’s estimated value with its normative value set for specific sectors of economy; and the category of national income (net production) being taken as the result of capital investment. The methodology was described in the officially approved document ‘Methodological Guidelines for Evaluation of the Effectiveness of Investment Projects (Second Edition)’, which corresponded to the guidelines of the research centre of the United Nations Industrial Development Organization. Our analysis brings to light certain drawbacks in the methods described in this document, more specifically, the inaccuracies in the evaluation criteria, the lack of methods for calculation of the corresponding indicators, and the shortcomings of the established indicators of economic effectiveness, in particular the main indicator -the net present value. In accordance with the established methodology, we calculate not the amount of net present value but only a part of it and the method of calculating this part boils down to testing whether the desired level of profitability is ensured or not. To improve this methodology, it is proposed to apply a combination of income- and property-based approaches. The newly generated value should be taken as the result of investment (on the national level — national income, on the level of production entities — net output). Since this approach focuses on the satisfaction of the economic interests of the government, investors and employees, apart from general effectiveness, it is recommended to differentiate between entrepreneurial, budget-related and labour-related components of effectiveness.

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POERNOMO, IMAN, HEINZ SCHMIDT, and JANE JAYAPUTERA. "VERIFICATION AND PREDICTION OF TIMED PROBABILISTIC PROPERTIES OVER THE DMTF CIM." International Journal of Cooperative Information Systems 15, no. 04 (December 2006): 633–58. http://dx.doi.org/10.1142/s0218843006001517.

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Understanding nonfunctional aspects of system behavior is an essential component of practical software development and maintenance. Many nonfunctional system properties, such as reliability and availability, involve time and probabilities. In this paper, we present a framework for runtime verification and prediction of timed and probabilistic nonfunctional properties of component-based architectures, built using the Meta-Object Facility and the Distributed Management Task Force's Common Information Model (CIM) standard. We describe a Microsoft .NET-based implementation of our framework. We define a language for describing timed probabilistic behavior based on Probabilistic Computational Tree Logic (PCTL). We provide a formal semantics for this language in terms of observed application execution traces. The semantics is interesting in that it permits checking of required timing behavior both over the overall average of traces and also over local "trends" in traces. The latter aspect of the semantics is achieved by incorporating exponential smoothing prediction techniques into the truth function for statements of our language. The semantics is generic over the aspects of an application that are represented by states and state transitions. This enables the language to be used to describe a wide range of nonfunctional properties for runtime verification and prediction purposes. We explain how statements of our language are used to define precise contracts for system monitoring, through relating the semantics to an extended CIM monitoring infrastructure.

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Tubic, Bojana, Natasa Popovic, Maja Rakovic, Аna Petrovic, Vladica Simic, and Momir Paunovic. "Comparison of the effectiveness of kick and sweep hand net and Surber net sampling techniques used for collecting aquatic macroinvertebrate samples." Archives of Biological Sciences 69, no. 2 (2017): 233–38. http://dx.doi.org/10.2298/abs160622087t.

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The objective of this work is to analyze the effectiveness of two widely used methods for collecting aquatic macroinvertebrate samples: the semiquantitative kick and sweep (K&S) and quantitative Surber net (SN) techniques. Based on our data, the methods were fully comparable as regards analysis of the macroinvertebrate metrics most often used in ecological status assessment (sensitivity/tolerance parameters), while K&S was found to be more successful in the evaluation of biodiversity. Thus, both methods could be used for routine monitoring of the status of water bodies, according to the recommendation of the EU Water Framework Directive, while for research, K&S is more advanced. K&S is also more effective timewise for material collecting. SN sampling is a quantitative method and could thus be used in studies of aquatic ecosystem productivity.

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Barlow, R., N. J. S. Ellis, and W. K. Mason. "A practical framework to evaluate and report combined natural resource and production outcomes of agricultural research to livestock producers." Australian Journal of Experimental Agriculture 43, no. 8 (2003): 745. http://dx.doi.org/10.1071/ea02210.

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The specifications for this study were set by the need for researchers in the Sustainable Grazing Systems (SGS) Program to have a consistent framework to evaluate experimental results across research sites and to share those results in a comprehensive way with livestock producers, allowing them to consider the full range of outcomes and impacts. To achieve this, the framework needed to account for production, economic and natural resource impacts, and other issues associated with making changes on farms. It also had to be easily applied, and readily understood by all segments of the SGS Program. This approach demanded some elements of pragmatism. Economic analysis of production data was based around net cash flow analysis. Spreadsheet programs were written for beef, self-replacing Merino and prime lamb enterprises. These incorporated the capacity to graph results automatically, provide sensitivity analysis tables, and project net cash flow results averaged over a 10-year period. Net cash flows were given for 2 levels of management skills — 'district average' and 'high'. Placing dollar values or costs on resource impacts was not as simple and could not be achieved within the practical framework required. A qualitative approach to the evaluation of resource impacts was developed in collaboration with researchers, advisors and collaborating producers. A framework was constructed which allows the likely on- and off-farm impacts of any experimental treatments to be identified and subjectively rated for likely importance.A practical tool for integrating and reporting the production and resource impact information was constructed. This captures the net cash flow, the key production data, the off-farm and on-farm impacts and provides an overview assessment of the treatment in a simple table. It provides producers with sufficient information to allow an assessment as to whether adoption of any 'treatment' could improve the profitability and sustainability of their grazing system. This tool was tested across all treatments at the SGS National Experiment sites and found to work well. Examples are presented, covering a range of resource impact and net cash flow combinations.

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Journal articles on the topic 'Microsoft NET Framework Evaluation'

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