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

expected and must be respected in more typical cultural and societal sectors and domains, such as democratic development, policy design, public administration, international affairs, integration and understanding of different languages and cultures, education at all levels, cultural life, media and information, and in investigating and informing about history, the “memory of society”. In these sectors and domains, one will find that societal impact usually is in place as organized interaction and responsibilities between the SSH and other institutions of civilization

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What Motives Users to Participate in Danmu on Live Streaming Platforms? The Impact of Technical Environment and Effectance

International 55 3 273 286 10.1080/09523987.2018.1512447 Liu, L., Suh, A., & Wagner, C. (2016). Watching online videos interactively: The impact of media capabilities in Chinese Danmaku video sites. Chinese Journal of Communication , 9(3), 283–303. 10.1080/17544750.2016.1202853 Liu L. Suh A. Wagner C. 2016 Watching online videos interactively: The impact of media capabilities in Chinese Danmaku video sites Chinese Journal of Communication 9 3 283 303 10.1080/17544750.2016.1202853 Liu, L., Suh, A., & Wagner, C. (2017). Who is with You? Integrating a Play Experience into

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Social Media Affordances and Information Sharing: An Evidence from Chinese Public Organizations

• Convenient to use • Communicate with top and lower staff quickly • Quick connection and prompt • Communication and association • Reduce the frequency of face-to-face reports • Efficiency and quick response • Interact with my colleague and share express information ideas • Meeting and social groups those are created on social media • A useful way of sharing information • Better connection • Media groups for coordination process • Convenient to integrate • A platform for communicating quickly

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When Econometrics Meets Machine Learning

invite Yong Tan to help answer the question first. 2.2 Yong Tan 2.2.1 Idea 1: Integration of machine learning and econometrics will be of great value Actually, I have been talking about this topic many times from the methodological point of view. However, this time I would like to start with a disclaimer that methodology itself is just a tool. We want to advance the tool in order to solve more interesting business problems. The objective of using econometrics is to find out the causal relationship of data, which is our main purpose. On the other hand, from

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g st -store: Querying Large Spatiotemporal RDF Graphs

day )} In this paper, we extend the semantics of the SPARQL language by integrating the spatial and temporal feature assertions (the extended SPARQL query is called the ST query, short for spatial-temporal SPARQL query). The spatial and the temporal constraints assert the location of an entity/event and the event’s valid time, for instance, distance ( place (? y ), place (49, 10)) < 300 and time (? t 1) < date (1900.01.01) in Example 1 . In order to answer S-T queries in a uniform manner, we propose a tree-style index structure (called the ST

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Identifier Services: Modeling and Implementing Distributed Data Management in Cyberinfrastructure

different aspects of a project (e.g., specimen, analysis, sequences). The COPO interface makes helpful suggestions regarding what information you might want to submit and normalizes metadata, which can be uploaded in bulk, to controlled vocabularies, ontologies, and community standards assisting with data integration. In addition, publications can be submitted through COPO to long-term storage repositories. IDS could be a complement to this project by tracking the evolution of the different components of a dataset. At the end of a research project’s lifecycle, data

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Improving Publication Pipeline with Automated Biological Entity Detection and Validation Service

through an interactive web application for curation and evaluation by authors and other domain experts. Through the web interface, a user can make additional annotations and corrections to the current results. The updates are stored and managed via the relational database for future improvements to the entity detection process. The service includes several components: automated informational vocabulary extraction based on existing domain ontologies, experts’ validation and curation, and integration of results using the formal publication process. The contribution of the

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The Contingency Effect of Relational Competency on the Relationship between Information Technology Competency and Firm Performance

). Firms generally leverage two distinct strategic mechanisms: resource-picking and capability-building ( Makadok 2001 ). Specifically, resource-picking mechanism creates economic rents when the firm applies superior information and knowledge to gain the value from the resources, while capability-building mechanism highlights the firm’s ability to integrate, build, and reconfigure internal and external resources and competencies to achieve competitive advantage in a rapidly changing business environment ( Eisenhardt et al. 2000 ; Teece et al. 1997 ). It is also

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Smart and Connected Health: What Can We Learn from Funded Projects?

1 Introduction Increasing health awareness and widespread adoption of wearable devices, wireless communications and big data in the context of smart cities have led to the needs for smart and connected health (SCH). SCH refers to any digital healthcare solutions or systems that can operate remotely with integration of innovative computational and engineering approaches to support the transformation of health and medicine services ( Clancy, 2006 ; National Science Foundation). It is a young but promising field of study at the intersection of medical

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Special Issue on Cyberinfrastructure, Machine Learning, and Digital Library

scalability limitations, and data vulnerability risks. A necessary approach to meeting these challenges is to use cyberinfrastructure, which refers to large shared online research environments, backed up by advanced computing resources hosted in data centers and supported by experts. Coupling cyberinfrastructure and digital libraries and archives can provide the needed technical resources and the expertise required to manage and analyze data at scale, as well as new opportunities to facilitate data preservation, access, and reuse. Facilitating adoption and integration

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