کارابرن عزیز، مقالات isi بالاترین کیفیت ترجمه را دارند، ترجمه آنها کامل و دقیق می باشد (محتوای جداول و شکل های نیز ترجمه شده اند) و از بهترین مجلات isi انتخاب گردیده اند. همچنین تمامی ترجمه ها دارای ضمانت کیفیت بوده و در صورت عدم رضایت کاربر مبلغ عینا عودت داده خواهد شد.
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“There is still peace: There are no wars:”: Prioritizing unity over diversity in Botswana’s social studies policies and practices and the implications for positive peace
"هنوزهم صلح وجود دارد: هیچ جنگی وجود دارد": اولویت سازی اتحاد بر اختلاف در سیاست ها و روشهای مطالعات اجتماعی بوستوانا و دلالت ها برای صلح مثبت-2018
This article examines the ways in which education policy and practice in Botswana negotiate tensions between assimilationist and multiculturalist approaches to ethnic diversity. We find that the curriculum, as written and as taught, is preoccupied with unity and the avoidance of armed conflict, goals that have perpetuated an assimilationist approach, normed around the culture and language of the Tswana ethnic majority. We argue that a multicultural approach could foster conditions of positive peace, including recognition and equality of opportunity across ethnic groups, which is more urgent today given the sustained absence of armed conflict. We offer strategies for how practitioners and policy makers might move forward in transforming existing multicultural policy discourse into multicultural school practices.
keywords: Botswana |National identity |Curriculum |Assimilation |Multiculturalism |Negative and positive peace
Policy borrowing in the gulf cooperation council countries: Cultural scripts and epistemological conflicts
عاریه گیری سیاست در کشورهای عضو شورای همکاری خلیج: متون فرهنگی و تعارضات معرفت شناختی-2018
Globalization through educational borrowing has transformed the K-12 educational landscape driving and shaping educational reforms worldwide by saturating nations’ educational polices and practices reducing education to products and services globally sold to those with adequate resources. Governments worldwide seize the opportunity to import educational theories, policies and practices anticipating quick fixes and delivered results to their educational systems. However, a major concern about the borrowing process is that educational policies and practices that are effective in their original context may not prove effective elsewhere. In particular, the six Gulf Cooperation Council (GCC) countries have developed educational reforms by importing policies and practices tested in the West. Against the backdrop of the educational borrowing processes in the GCC, this paper identifies several cultural scripts in the region based on reviewing the existing literature and examines how the local educational epistemological beliefs undermine or support the implementation of a borrowed educational policy.
keywords: Educational Borrowing |Globalization |Cultural Scripts |GCC Countries |Culture and learning
Belief-free price formation
شکل گیری قیمت آزاد از اعتقاد-2018
We analyze security price formation in a dynamic setting in which long-lived dealers repeatedly compete for the opportunity to trade with short-lived retail traders. We characterize equilibria in which dealers’ pricing strategies are optimal irrespective of the private information that each dealer may possess. Thus, our model’s predictions are robust to different specifications of the dealers’ information structure. These equilibria reconcile, in a unified and parsimonious framework, price dynamics that are reminiscent of well-known stylized facts: excess price volatility, price to trading flow correlation, stochastic volatility and inventory-related trading.
keywords: Financial market microstructure |Informed dealers |Price volatility |Belief-free equilibria
Regional inequalities and gender differences in academic achievement as a function of educational opportunities: Evidence from Ethiopia
نابرابری های منطقه ای و تفاوت های جنسیتی در موفقیت علمی به عنوان تابعی از فرصت های آموزشی: شواهدی از اتیوپی-2018
This study investigated regional and gender differences in academic achievement in Ethiopia, and examined whether these differences can be explained in terms of unequal educational opportunities (EO). Educational opportunity was operationalized in a broad sense based on a regional differentiation in terms of socio-economic and school environment factors. The study results are based on a multilevel analysis of the 2014 and 2015 national standardized exam for grade 12 students (n = 194503 and n = 205719). Whereas the Central (high EO) regions outperformed the other regions (Cohen’s d = 0.85) as expected, there were some inconsistencies in the comparison between Established (mid EO) regions and Emerging (low EO) regions. Coincidentally, the two Emerging regions that were unexpectedly performing at the level of the Established regions were also the two regions in which there was no evidence for a gender gap in achievement. For other regions, including the Central regions, evidence for a gender gap sometimes as large as the regional gap was identified, with boys having on average higher scores than girls (Cohen’s d = [0.02, 0.92] with an average of 0.50). Plausible explanations and further policy recommendations are discussed.
keywords: Educational opportunity |Regional inequalities |Gender |Academic achievement |Ethiopia
“School definitely failed me, the system failed me”: Identifying opportunities to impact educational outcomes for homeless and child welfare-involved youth
"مدرسه قطعا من را ناکام کرد، سیستم من را ناکام کرد": شناسایی فرصت ها برای اثرگذاری روی خروجی های آموزشی برای جوانان بی خانمان و درگیر با رفاه بچه-2018
Children and youth who experience homelessness and child welfare involvement may experience high mobility, disruption of relationships with family and peer networks, and social stigma, all of which can have a negative impact on educational success for these youth. In this study, we explored the perspective of youth who were involved with child welfare and homeless serving systems, and who had experienced school challenges. Youth (n = 20) between the ages of 18 and 24 participated in semi-structured qualitative interviews. Using a life course framework, we asked youth about their experiences in these multiple systems across developmental stages, and asked them to highlight what might have been helpful to their educational outcomes. Data analysis was conducted by a research team of three scholars who each had expertise in these varied systems, and member checking was completed with four youth to increase credibility of the findings. Results highlighted the importance of youth having supportive adults in their lives, suggesting an opportunity for systems to better mobilize and support caring adults, including informal supports and professional staff within these systems that can advocate for youth. Results also stress the importance of using a trauma-informed approach with cross- systems youth, rather than punitive approaches to discipline that tend to exacerbate negative educational outcomes. Many of these youth felt like they had to “make it on their own,” underscoring the need to better connect youth to existing resources within their communities and building on youths strengths and protective factors, in order to improve educational outcomes for vulnerable youth.
A survey towards an integration of big data analytics to big insights for value-creation
مروری به سوی تجمیع تحلیل داده های بزرگ به بینشی بزرگ برای ایجاد ارزش-2018
Big Data Analytics (BDA) is increasingly becoming a trending practice that generates an en ormous amount of data and provides a new opportunity that is helpful in relevant decision making. The developments in Big Data Analytics provide a new paradigm and solutions for big data sources, storage, and advanced analytics. The BDA provide a nuanced view of big data development, and insights on how it can truly create value for firm and customer. This article presents a comprehensive, well-informed examination, and realistic analysis of deploying big data analytics successfully in companies. It provides an overview of the architecture of BDA including six components, namely: (i) data generation, (ii) data acquisition, (iii) data storage, (iv) advanced data analytics, (v) data visualization, and (vi) decision-making for value-creation. In this paper, seven Vs characteristics of BDA namely Volume, Velocity, Variety, Valence, Veracity, Variability, and Value are explored. The various big data analytics tools, techniques and tech nologies have been described. Furthermore, it presents a methodical analysis for the usage of Big Data Analytics in various applications such as agriculture, healthcare, cyber security, and smart city. This paper also highlights the previous research, challenges, current status, and future di rections of big data analytics for various application platforms. This overview highlights three issues, namely (i) concepts, characteristics and processing paradigms of Big Data Analytics; (ii) the state-of-the-art framework for decision-making in BDA for companies to insight value-crea tion; and (iii) the current challenges of Big Data Analytics as well as possible future directions.
Keywords: Big data ، Data analytics ، Machine learning ، Big data visualization ، Decision-making ، Smart agriculture ، Smart city application ، Value- reation ، Value-discover ، Value-realization
Using Big Data in oncology to prospectively impact clinical patient care: A proof of concept study
استفاده از داده های بزرگ در انکولوژی برای تاثیر فزاینده مراقبت های بالینی بیمار: اثبات مفهوم مطالعه-2018
Objective: Big Data is widely seen as a major opportunity for progress in the practice of personalized medicine, attracting the attention from medical societies and presidential teams alike as it offers a unique opportunity to enlarge the base of evidence, especially for older patients underrepresented in clinical trials. This study prospec tively assessed the real-time availability of clinical cases in the Health & Research Informatics Total Cancer Care™ (TCC) database matching community patients with cancer, and the impact of such a consultation on treatment. Materials and Methods: Patients aged 70 and older seen at the Lynn Cancer Institute (LCI) with a documented ma lignancy were eligible. Geriatric screening information and the oncologists pre-consultation treatment plan were sent to Moffitt. A search for similar patients was done in TCC and additional information retrieved from Electronic Medical Records. A report summarizing the data was sent and the utility of such a consultation was assessed per email after the treatment decision. Results: Thirty one patients were included. The geriatric screening was positive in 87.1% (27) of them. The oncogeriatric consultation took on average 2.2 working days. It influenced treatment in 38.7% (12), and modified it in 19.4% (6). The consultation was perceived as “somewhat” to “very useful” in 83.9% (26). Conclusion: This study establishes a proof of concept of the feasibility of real time use of Big Data for clinical practice. The geriatric screening and the consultation report influenced treatment in 38.7% of cases and modified it in 19.4%, which compares very well with oncogeriatric literature. Additional steps are needed to render it financially and clinically viable.
Keywords: Electronic database ، Electronic consultation ، Big Data ، Cancer ، Elderly ، Geriatric oncology ، Personalized medicine ، Precision medicine، Total Cancer Care ، Health & Research Informatics
Assessing learners satisfaction in collaborative online courses through a big data approach
ارزیابی رضایتمندی دانشجویان در دوره های آنلاین همکاری از طریق رویکرد داده ای بزرگ-2018
Monitoring learners satisfaction (LS) is a vital action for collecting precious information and design valuable online collaborative learning (CL) experiences. Todays CL platforms allow students for per forming many online activities, thus generating a huge mass of data that can be processed to provide insights about the level of satisfaction on contents, services, community interactions, and effort. Big Data is a suitable paradigm for real-time processing of large data sets concerning the LS, in the final aim to provide valuable information that may improve the CL experience. Besides, the adoption of Big Data offers the opportunity to implement a non-intrusive and in-process evaluation strategy of online courses that complements the traditional and time-consuming ways to collect feedback (e.g. questionnaires or surveys). Although the application of Big Data in the CL domain is a recent explored research area with limited applications, it may have an important role in the future of online education. By adopting the design science research methodology, this article describes a novel method and approach to analyse individual students contributions in online learning activities and assess the level of their satisfaction towards the course. A software artefact is also presented, which leverages Learning Analytics in a Big Data context, with the goal to provide in real-time valuable insights that people and systems can use to intervene properly in the program. The contribution of this paper can be of value for both researchers and practitioners: the former can be interested in the approach and method used for LS assessment; the latter can find of interest the system implemented and how it has been tested in a real online course.
Keywords: Big data ، Clustering ، Collaborative learning ، Learning analytics ، Learning satisfaction ، Sentiment analysis
“Messy” marginal costs: Internal pricing of environmental aspects on the firm level
هزینه های حاشیه ای "آشفته": قیمت گذاری داخلی جنبه های محیطی روی سطح شرکتی-2018
Internal pricing of environmental aspects is usually not embedded in management accounting systems. Therefore, we first show that pricing from a corporative perspective is possible and applicable. Contrary to common belief, we also show that marginal costs curves of environmental aspects are often not monotonic and price changes are highly context-specific. We introduce a model that addresses different environmental aspects that translate into constraints or change direct cost factors in the objective function. Environmental constraints originate from different types of limit values concerning emissions and production processes as well as restraining the potential environmental damage as the outcome of ecological valuation methods. Direct cost factors include the taxation of emissions and costs stemming from being involved in the emissions trading market. Our model allows for calculating the marginal (indirect) costs of these environmental aspects as the constraints might enforce factor and product substitutions. We show that the marginal costs differ substantially from the direct costs and do not follow a predictable pattern. Sensitivity analysis and parametric programming are applied to set up an internal pricing and cost allocation scheme for environmental aspects, specifically focusing on the pricing of emissions, resources and processes, of production and recycling. The models implications on corporate decision making are illustrated by a numerical example that draws on the opportunity of process substitution, e.g. producing a product on different machines. Even though we cannot use original data for proprietary reasons, such settings are highly relevant in industry and the energy sector.
keywords: Marginal costs |Environmental management |Internal pricing |Management accounting |Production planning
Systematic survey of big data and data mining in internet of things
مرور نظاممند داده های بزرگ و داده کاوی در اینترنت اشیا-2018
In recent years, the Internet of Things (IoT) has emerged as a new opportunity. Thus, all devices such as smartphones, transportation facilities, public services, and home appliances are used as data creator devices. All the electronic devices around us help our daily life. Devices such as wrist watches, emergency alarms, and garage doors and home appliances such as refrigerators, microwaves, air conditioning, and water heaters are connected to an IoT network and controlled remotely. Methods such as big data and data mining can be used to improve the efficiency of IoT and storage challenges of a large data volume and the transmission, analysis, and processing of the data volume on the IoT. The aim of this study is to investigate the research done on IoT using big data as well as data mining methods to identify subjects that must be emphasized more in current and future research paths. This article tries to achieve the goal by following the conference and journal articles published on IoT-big data and also IoT-data mining areas between 2010 and August 2017. In order to examine these articles, the combination of Systematic Mapping and literature review was used to create an intended review article. In this research, 44 articles were studied. These articles are divided into three categories: Architecture & Platform, framework, and application. In this research, a summary of the methods used in the area of IoT-big data and IoT-data mining is presented in three categories to provide a starting point for researchers in the future.
Keywords: Internet of things , Systematic survey , Big data , Data mining