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Understanding and Evaluating Research and Scholarly Publishing in the Social Sciences and Humanities (SSH)

several centuries. The “nationalization” of the SSH is closely connected to the democratization of education and cultural and social life in the 20th century. Today, the quality and relevance of research in the SSH are checked not only by peers but also directly by society. Internationalization is important for research quality and for specialization on new themes. Interaction with society is just as important for realizing the ultimate aims of knowledge creation. Taking both purposes into consideration at the same time, there is no reason to apply a general hierarchy

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A Longitudinal Analysis of the Effect of Alphabetization on Academic Careers

economics program at the university U. Faculty member 1 is promoted to be full professor in the economics program at the university U, but faculty member 2 has left the economics program at the university U while working as an associate professor. Then, we say that faculty member 1 is more successful than faculty member 2 in that program. In both parts of the analysis, we tested whether faculty members with early surname initials have been more successful in academic life. However, this does not prove a causal relationship. There are other factors such as culture that

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Investigating Weak Supervision in Deep Ranking

interactions. Mitra, Diaz, and Craswell (2017) proposed to take advantages of both architectures in Duet. Fan et al. (2017) integrated these models into the MatchZoo, which is an open-source toolkit for text matching. 2.3 Weakly Supervised Learning With the development of deep neural networks, data have brought breakthroughs in a lot of machine-learning areas. With the development of deep neural networks, exponential growth of data quantity has brought breakthroughs in a lot of machine-learning areas. However, data are also the bottleneck in many cases where high-quality

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Smart city solutions in regard to urbanization processes – Polish cases

References 1. B. Williams, “Ethics and the Limits of Philosophy”, London, 1985, p. 36. 2. http://urbnews.pl/raport-onz-world-urbanization-prospects-2014/; www.statista.com 3. www.cia.gov 4. “Urban World: Cities and the Rise of the Consuming Class”, McKinsey Global Institute, 2013. 5. “Future of the Cities - Cities of the Future. Strategies and Challenges. Social and technological innovations”, Report by ThinkTank and RWE, 2013. 6. R. D. Putnam, „Bowling Alone

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Editorial

It is our great pleasure to welcome readers to the first issue of the Data and Information Management (DIM). The launch of a new journal is a critical point in the life of a research community. Like the arrival of a new child into the family, a journal must be nurtured and encouraged. We look forward to working with the global information science and related community to grow this journal into a mature vehicle for data and information management research and practice. We might ask, why more journals when so many already exist? We believe we are in the midst

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An investigation on the evolution of diabetes data in social Q&A logs

research studies on social Q&A websites focus attention on question categorization, classification and quality assessment of answers, user satisfaction, reward structures, and motivation for participation (Gazan, 2011; Choi & Shah, 2015 ). Only a few researchers have utilized this superior corpus to study diabetes-related terms and term-usage patterns ( Zhang & Zhao, 2013 ). Social Q&A sites are effective channels for acquiring authentic content that is particularly useful in analyzing the behavior of a specific user group. Open access to a social Q&A site allows

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Business Values/Implications of AI and Machine Learning

replicated by machines because intelligence is conscious. We do not need memory to be conscious. Consciousness is a memory-free ability. Machines can never have consciousness. They are able to automate certain things but human intelligence, because of consciousness, will always be a few steps ahead. What might happen is that, whether you view it positively or negatively, we might get a lot more free time. I am an optimist. I feel that AI systems will lack certain human qualities. However, this means that we need to find ways of spending our extra free time. For example

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Citation performance of publications grouped by keywords, titles, and abstracts

potentially from publications in life sciences. There are many underperforming words that are not specific to a field such as “women,” “model,” or “system.” We used all Web of Science dataset in this study. Therefore, words summarized in Table 1 are from publications from a wide range of scientific fields. We kept our analysis general because we tried to form a guide to compare distinct academic fields. However, there is a high level of variation of citation performance among publications that contain the same word. Consequently, we cannot claim that citation

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Big Data in Health Care: Applications and Challenges

for individuals such as medical information and financial information, which are closely related to the health care of the individuals (L. Wang & Alexander, 2013; Wu et al., 2017 ). Differences between EHR and EMR are that EHR can be shared between different systems in different organizations ( Heart, Ben-Assuli, & Shabtai, 2017 ; Joshi & Yesha, 2012 ; L. Wang & Alexander, 2013) and is the whole-life record of a patient from birth to death stored in the medical institution, while EMR is the complete record of patient’s disease stored in the hospital; EHR focuses

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Burgeoning Data Repository Systems, Characteristics, and Development Strategies: Insights of Natural Resources and Environmental Scientists

; Borgman et al., 2007b ). They emphasized the early involvement of data archivists in the life cycle of collaborative ecological research. They further promoted the application of more broadly conceived digital library systems and efforts to improve scientific data discovery and reuse. Today, with digital technologies revolutionizing scientific data collection and processing, the expectations for systematic data sharing to address grand environmental challenges are growing strong. Consequently, diverse data-sharing and discovery platforms are quickly emerging and

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