This study performs a preliminary investiga- tion on automatically identifying technologies and their pros/cons from computer science papers (henceforth referred to as pros/cons identifica- tion). We frame pros/cons identification as the well-known NLP task of targeted sentiment anal- ysis (Jiang et al., 2011) and conduct an annota- tion study. Futhermore, we build a neural base- line model to identify the challenges of pros/cons identification task. The annotation study indicates that the pros/cons identification task can be rea- sonably framed as the task of targeted sentiment analysis. The experimental results of automatic extraction show that pros/cons identification is dif- ficult mainly owing to the requirement of domain- specific knowledge. The annotated dataset is made
Scholarly data is very important for researchers to search for related papers to build the basis for their own research ideas. However, the size of the scholarly data has increased dramatically which cause problems for researchers to efficiently search for relevant and high quality papers. Reported by , the most popular scholarly search engine Google Scholar has gathered and indexed more than 160 million scholarly documents into their database. A newly developed database: Microsoft Academic Search (MAS)  also contains more than 80 million publications. A major advan- tages of MAS is that it provides the hierarchical research fields that papers belong to (e.g. Computer Science, Math, Physics, Economics), which can be treated as a classification system. The academic paper classification is very important and useful. For example, when building an academic search engine specializing in a certain area or recommending relevant papers, we need to classify whether a document crawled from the Web belongs to this area. There are numerous techniques to address these problems, but the basic building block is the text classification techniques based on supervised machine learning method.
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We designed a new annotation scheme for formalising relation structures in research papers, through the investigation of computer science papers. The annotation scheme is based on the hypothesis that identifying the role of entities and events that are described in a paper is useful for intelligent information retrieval in academic literature, and the role can be determined by the relationship between the author and the described entities or events, and relationships among them. Using the scheme, we have annotated research abstracts from the IPSJ Journal published in Japanese by the Information Processing Society of Japan. On the basis of the annotated corpus, we have developed a prototype information extraction system which has the facility to classify sentences according to the relationship between entities mentioned, to help ﬁnd the role of the entity in which the searcher is interested.
Plagiarism is the use of the language and thoughts of another work and the repre- sentation of them as one's own original work. Various levels of plagiarism exist in many domains in general and in aca- demic papers in particular. Therefore, di- verse efforts are taken to automatically identify plagiarism. In this research, we developed software capable of simple plagiarism detection. We have built a corpus (C) containing 10,100 academic papers in computer science written in English and two test sets including pa- pers that were randomly chosen from C. A widespread variety of baseline me- thods has been developed to identify identical or similar papers. Several me- thods are novel. The experimental results and their analysis show interesting find- ings. Some of the novel methods are among the best predictive methods.
We describe our ongoing effort to establish an annotation scheme for describing the semantic structures of research articles in the computer science domain, with the intended use of developing search systems that can refine their results by the roles of the entities denoted by the query keys. In our scheme, mentions of entities are annotated with ontology-based types, and the roles of the entities are annotated as relations with other entities described in the text. So far, we have annotated 400 abstracts from the ACL anthology and the ACM digital library. In this paper, the scheme and the annotated dataset are described, along with the problems found in the course of annotation. We also show the results of automatic annotation and evaluate the corpus in a practical setting in application to topic extraction.
Che-Nan Kuo was born on December 1979 in Tainan, Taiwan. He received his B.S. degree in the Department of Computer Science from the Tunghai University, Taichung, Taiwan in 2002, and the M.S. and Ph.D. degrees from the Department of Computer Science and Information Engineering at the National Cheng Kung University, Tainan, Taiwan in 2004 and 2009. Now, he is an As- sistant Professor in the Department of Business Administration, CTBC Business School, Tainan, Taiwan. He has many excellent research papers about folded hypercubes published on famous journals, such as Theoretical Computer Science, Discrete Applied Mathematics, Information Sciences, and Computers and Mathematics with Applications. His current research interests include interconnection networks, discrete mathematics, computa- tion theory, graph theory, and algorithm analysis.
Science centres and museums have a role in promoting behaviour change, although this is more likely to occur among visitors with values that already match those of the organisation (Featherstone, 2008). This study found that At-Bristol visitors feel that environmental sustainability is personally important; therefore the At-Bristol audience may be a particularly captive audience for on-site information about sustainability. There is often a gap between self-reported pro-environmental values and actions (Kollmus & Agyeman, 2002). Many respondents said they were concerned about environmental sustainability but most behaviours offered were small-scale and part of a domestic routine, such as recycling. This is reflected in the literature in sustainability communication and behavioural change. Small changes at home are an easy route to a more sustainable lifestyle but key travel and leisure behaviours, such as not flying on holiday, tend not to be considered, despite having much greater impact (Barr, Gilg & Shaw, 2011).
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The box plots of the 5 main categories (Fig. 3) give a clear picture of the discoursive structure of an aver- age scientific paper in the Computer Graphics do- main. In fact, the 5 main categories show a neat layout of the main zones (inside the box) in the ar- gumentative structure distributed along the article. Even if one can find all types of sentences along the whole document, the central 50% of each category seems clearly limited to a zone with little overlap- ping of one another. When searching for information about one of these categories, a reader or researcher will find the central 50% of the sentences of each category in the following article length ranges: Chal- lenge in between the 3% and 23%, Background in between the 11% and 29%, Approach in between the 35% and 70%, Outcome in between the 70% and 92%, FutureWork in between the 88% and 97%.
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21st Century Social Justice, a Fordham University Graduate School of Social Service student-run journal, is calling for papers for the Spring 2018 issue. The mission of the journal is to strengthen nationwide social work knowledge and curriculum through the inclusion of content from related disciplines, most notably neuroscience, law, and economics. Exposure to interdisciplinary content will raise awareness, expectations of social work students, and in turn, the efficacy of the profession for achieving human rights and social justice for individuals, families, and communities worldwide.
Contribution to IODFs was generally infrequent, certainly on a listener-by-listener basis. One possible reason identified for this was the ‘spatiotemporal disconnect’. The fact that listeners tended not to be sitting at their computers whilst listening meant most never or very rarely thought about going to the associated blogs and forums to comment. Unfortunately, this problem is directly related to some of the most obvious benefits of the podcast medium - its flexibility and portability, which allows listeners to tune in whilst commuting or doing chores for example. Podcast producers could try to overcome the problem by providing clear incentives to visit IODFs, highlighting comments from individual posters on podcasts and providing a variety of different feedback channels, including via social networking sites such as Facebook and Twitter. Since many internet users visit these sites regularly, they could be considered more ‘convenient’. Content on IODFs associated with the science podcasts studied was highly relevant to the topics discussed on podcasts. Whatever the general trend, this does suggest that users of these particular discussion facilities are concerned with discussing the topics at hand, rather than idle conversation or self-promotion. This strengthens the position of science podcasts, in conjunction with blogs and forums, as legitimate communication tools.
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For the past several years computer graphics subjects have played an important role in information and computer technology studies. The inclusion of computer graphics subjects into university curricula is moti- vated not only by modern technologies and methods being used in this branch, but above all by the training of programming techniques and math application these subjects provide. At the Faculty of Informatics and Management of the University of Hradec Kralove, subjects Computer Graphics I, II and III (CG) have been professed for several years within the curricula of the Applied Informatics and the Information Management study programs. Besides visualisation and graphical data processing, these subjects are focused on practicing and widening the knowledge and practical skills of students, future IT specialists. This paper introduces goals, structure and educational techniques in the CG subjects, which expand informatics subjects such as program- ming and algorithm development. Educational methods that involve a term project, a special framework and an e-learning support are also described. Finally several specifi c examples of math application used during problem solving are presented.
The highway toll system has already been developed and widely being used in many developed nations, but most of them uses Radio Frequency ID, but in developing countries RFID for each vehicle doesn’t exist and using RFID is still a costlier solution. The image processing technique to detect license plate for auto toll system are being used by some of the developing countries but the problem is not solved yet because of high cost of host device (e.g. computer) to run. Keeping those problems into mind, in this paper a new approach is proposed in which raspberry pi will be used as the host. This minicomputer has ability of image processing and controlling a complete toll system. 
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The andragogical model (teaching adults to learn) is different than the pedagogical model (teaching children to learn). In adult training, the emphasis is more on the process and less on the content and the instructor. Adults need to know why they have to learn something. They learn best in an experimental way when the learning is based on problem solving and the topic is of immediate value (Day, Harrison, & Halpin, 2009). For Drappa and Ludewig (2000), one of the keys to educational success is motivation, and one of the best motivations for learning comes from experience. Therefore, the challenge is to use a form of teaching—in the case of this research the teaching of human-computer interaction (HCI) and specifically usability concepts—in a concentrated and motivated way, providing an understanding of the key concepts and enabling the student to apply the HCI life cycle in practice.
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ometimes you just have to improvise. We received such a strong response to our call for manuscripts on food system planning that we decided to squeeze a group of excellent additional papers on the topic into this winter issue. Starting out the issue, however, are a number of exceptional open-call papers. We begin with Assessing the Growth Potential and Economic Impact of the U.S. Maple Syrup Industry, by Michael Farrell and Brian Chabot. In honor of one of North America’s unique seasonal foodways, this paper will remain open access (freely accessible even without a subscription) through April 2012. Click here to access it for FREE. In Kaiser Permanente’s Farmers’ Market Program: Description, Impact, and Lessons Learned, DeAnn Cromp, Allen Cheadle, Loel Solomon, Preston Maring, Elisa Wong, and Kathleen Reed present the results of a large shoppers survey of the leading HMO’s ground-breaking farmers’ market program. Nick McCann and Frank Montabon review innovations in mid-scale beef value chains in Strategies for Accessing Volume Markets in the Beef Industry: A Review of Three Case Studies. Leah Greden Mathews presents a “portfolio” methodology for exploring the wide range of benefits farms provide to communities in From the Ground Up: Assessing Consumer Preferences for Multifunctional Agriculture. In “Food Security” and “Food Sovereignty”: What Frameworks Are Best Suited for Social Equity in Food Systems? Megan Carney provides some clarity on the meaning and application of the oft-confused terms. Thomas Steiger, Jeanette Eckert, Jay Gatrell, Neil Reid, and Paula Ross provide a fresh and surprising look at farm succession in the Midwest in Cultivating Narratives: Cultivating Successors. Our international contributions include papers from Brazil, Europe, and Canada. In Is a Geographical
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To help researchers and students undertaking research projects, different applications are placed in the cloud as snapshots of typical lab PCs. This system of creating snapshots also ensures backward compatibility of software. Even if new versions of the software or operating systems are released, researchers can still recreate previous conditions when proofing their prior research. Delivering Software as a Service in this manner allows the users to get different (in most cases higher) hardware specifications to do their science. Provisioning faster CPU’s or larger memory configurations ensures the University and research capital is not wasted on an endless cycle of purchases. For most of their lifetime the cutting edge desktop machines are either idle, not being used for their intended purpose or not being used to their maximum capability . The approach of centrally providing high memory type configura- tions leads to better access for all users within the institution, improved utilisation and better management of power hungry devices.
First, in the Manufacturing Systems category, two papers were selected for their balanced technical- practical contribution to the logistics body of knowledge. Second, three papers in the Vehicle Routing category present interesting methodological approaches to solve one of the current key challenges in Latin America. Guarantying food supplies in time and form to the population in need was the subject of one of the papers in the third category. Another one identifies how the structure affects logistical performance in the supply chains of perishable foods. The role of knowledge management in supply chain management through a literature review is analyzed in the fourth category. Finally, in the fifth category, an inspiring article proposes a methodology to minimize the impact of a lack of coordination on humanitarian logistics decisions.
reform. Case studies are used to evidence what have often been perceived as abstract concepts, while also underscoring the need for addressing gender violence both at national and international levels, as is discussed in the latter half of the chap- ter. Lhotska, Scherbaum, and Bellows return to the importance of nutrition in Chapter 4, homing in on the role of childbearing and health across the lifespan. As yet another nested component of the gender security and food security equation, equi- table nutrition is largely rendered invisible in policymaking efforts. Indeed, as these authors note, full realization of the right to adequate food and nutrition must account for the unique capacity of women to bear children and breastfeed. What they call the “entwined subjectivities of mother and child,” or the dependency of a child’s health from conception through infancy as influenced by a con- text of socioeconomic conditions and living envi- ronment, has yet to be fully embraced by human rights instruments (p. 164). From the angle of greater promotion of local agriculture and food systems in support of sustainable livelihoods, in Chapter 5 Lemke and Bellows critique the domi- nant market-based systems that promote interna- tional trade as the primary response to food insecurity and malnutrition. Synthesizing threads from the previous chapters—including the patron- izing effects of extant food security policies and the problematic practice of medicalized food assistance —connections between the shortcomings of measures aimed to address malnutrition and the paternalistic polices that promote food and nutri- tion aid dependences are brought into sharp focus. Taken together, these analyses lay bare the nested nature of gender security and food security, and the need for an inclusive approach to the human right to adequate food and nutrition.
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Some interviewees I spoke with were involved in pioneering new versions of CSA, beyond the realms of farms and food. Programs described as “community supported art,” based on community supported agriculture, are being replicated in a variety of geographic and cultural settings. In CSArt, local artists rather than farmers produce shares of a creative harvest. One CSArt organizer I spoke with who worked at a regional arts advocacy organization in the Midwest told me how the local food movement had kept recurring in conversa- tions among peers about how to better serve their community of artists. “We should do something like a CSA,” they mused. This organizer said that she “had been a CSA member for several years at a variety of different farms” and said that this experience made CSArt seem like an ideal concept that was ready to be transplanted into another realm. “That was the most important decision we made...to not try to think we should improve on it or make it different or even call it something different.” The initial project was an immediate success and led her to help other groups start dozens more CSArt programs around the U.S. One of the most important recommendations she made to new organizers was that they also refer to their programs as “community supported art” and make use of the popular and positive associations of the community supported agriculture brand. A variety of other fledgling community supported enter- prises (CSEs), such as community supported fisheries, restaurants, breweries, and bakeries, are also making use of CSA’s reputable identity and cultural clout. The ethical foundations and practical applications of these CSEs and their efforts to attract new members will help further enrich our understanding of the potential of the CSA/CSE brand and aid us in assessing whether these new initiatives are strengthening or weakening fundamental CSA ideals.
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While CSAs endeavor to connect members to the farm, the reality is that most CSA farms are located at quite a distance from any large city, Toronto included. Most members only rarely have the opportunity to visit the farms to which they belong and actually connect to the source of their food. It is for this reason that the potential for CSAs within the city of Toronto was explored. Urban CSAs may be a way to address objectives of the new food movement. They can provide good food that is accessible to many people; provide an income to those growing the food (especially when the right supports are in place); educate people on how food is grown; and show the importance of environmental stewardship and the recycling of resources. As evidence of this potential, recently at least three farming operations in Toronto led by young farm entrepreneurs have started CSAs using backyard production. Two research papers were recently published in the Journal of Agriculture, Food Systems, and Community Development on scaling up urban agriculture in Toronto (MacRae, Gallant, Patel, Michalak, Bunch, & Schaffner, 2010; MacRae et al., 2012). The MacRae et al. (2010) study examined the potential for vegetable produc- tion on land located within the city of Toronto. This study brings together the two arenas of urban agriculture and community supported agriculture, examining urban CSA possibilities in Toronto through more in-depth analysis of the land parcels identified in the MacRae et al. (2010) paper. Thus, we use relatively current spatial data to construct a vision of possibilities. Many of these ideas are taken from innovative CSA and urban agriculture initiatives in Toronto and other cities. We also present potential opportunities and challenges associated with establishing CSA farms within the
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In general, all database systems have an interface for the users and the researcher which enable them to write the query that describe what they looking for using the natural language. Typically, the result of the query is a list that contains the relevant papers or documents ranked based on their relevancy to the user query. This relevancy is computed based on the similarity between the user query and the databases documents. The retrieved list would be manually investigated by the reader and would be decreased based on reader’s judge for the relevancy between the papers titles in the retrieved list and between what they looking for. Thus, the authors must choose the title of their papers carefully. One of the most popular problems in many of the research papers is the unsuitability of the papers title with the subject and the contents of the papers. A lot of authors chose a title for their paper based on either part of the algorithms of the methodology they use, or based on their knowledge, or based on their major of study. This paper presents a solution to the problem of classifying the papers titles conceptually by utilizing information retrieval and topic modeling in the classification process. Topic modeling have been utilized recently by a lot of researchers to solve, examine, and analyze many problems in the field of software engineering, especially when dealing with textual information like source code and developers commits, etc.. Recently, the usage of topic modeling were notably increased, therefore, many different toolkits have appeared for the wide functions of topic modeling such as Gensim . In this paper, we use the Gensim as it is a free Python library that is aimed to automatically extract the semantic topics from a set of documents. This paper investigates the
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