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Review of Geospatial Data Systems' Support of Global Change Studies

Yuqi Bai
2013 British Journal of Environment and Climate Change  
Results: The analysis shows that data systems are helpful for researchers to fulfill data discovery and access, while most of them do not provide further functionalities to cover other stages in the whole  ...  Such systems are operated under the paradigm of "everything-locally-owned-and-operated".  ...  By adopting the paradigm of "everything-shared-over-the-Web", a new generation of geospatial data systems can mobilize the resources in the entire research community for global change studies.  ... 
doi:10.9734/bjecc/2012/2726 fatcat:x3ccaiswufejbnnxf2k5m224lm

Clinical Translational Science 2020: Disruptive Innovation Redefines the Discovery-Application Enterprise

Scott A. Waldman, Andre Terzic
2011 Clinical and Translational Science  
Together, these considerations highlight the essential nature of the entire T1-T4 translational continuum to accelerate discovery into new paradigms for the management of patients and communities. 1,17  ...  The Therapeutics for Rare and Neglected Diseases program provides resources for preclinical drug development centered on rare disorders with limited commercial interest.  ... 
doi:10.1111/j.1752-8062.2011.00261.x pmid:21348959 pmcid:PMC5439842 fatcat:6ug33npblvdxddylqmlk4duo3m

A Cost-Based Model for Service Discovery in Smart Environments [chapter]

Michele Girolami, Francesco Furfari, Stefano Chessa
2012 Lecture Notes in Computer Science  
Resource Discovery Architectures 3. Resource Discovery Techniques 4. Resource Discovery Methods 5. Clustering and Overlay Networks 6. Dedicated Frameworks 7.  ...  RD Techniques Discovery Modes • How clients learn about the resources the network provide • The choice of the best discovery mode depends on: • Network density • Number of available resources  ... 
doi:10.1007/978-3-642-34898-3_33 fatcat:fiqpj4hjkzf5jk2onjdimacbxe

Exhaustible resources and sustainable development

John E. Tilton
1996 Resources policy  
exhaustible resources.  ...  The two competing paradigms lead to quite different outlooks on the human condition and in turn on recommendations for public policy.  ...  Acknowledgements This paper was written for the Conference on Competitiveness and Sustainability in Natural Resource Exploitation, 30 May 1996, organized by the Economics Research Program at Lulegl University  ... 
doi:10.1016/s0301-4207(96)00024-4 fatcat:qo7rhvr6jrb4db3oyfcnhtrksm

The fourth scientific discovery paradigm for precision medicine and healthcare: challenges ahead

Li Shen, Jinwei Bai, Jiao Wang, Bairong Shen
2021 Precision Clinical Medicine  
for scientific discovery.  ...  However, we are still facing many challenges to apply this paradigm practically.  ...  Challenge 6: Clinical observation and real world data-driven scientific discovery For precision medicine and healthcare, clinical observation/questions and real world data are the two main resources in  ... 
doi:10.1093/pcmedi/pbab007 pmid:35694156 pmcid:PMC8982559 fatcat:lgtgfo2lqrbtrkt2amnck2ygtm

A Contract-based Approach for Secure Service Discovery Systems

A. Nait-Sidi-Moh, M. Bakhouya, M. Wack
2007 IEEE International Conference on Pervasive Services  
In this paper, a contract-based approach for monitoring and controlling accesses to services in ubiquitous environments is presented.  ...  The second alternative SEP paradigm to the Client/Server one is more adequate for pervasive applications.  ...  The Constraints part includes constraint expressions defined by the resource provider for the allocation of this resource [9] . The following example shows a description of a workstation.  ... 
doi:10.1109/perser.2007.4283953 dblp:conf/icps/Nait-Sidi-MohBW07 fatcat:c2y4cqfzynflnmb7uc4bgldeaq

Personal and Federated Cloud Management Cockpit

Josef Spillner, Johannes Schad, Stephan Zepezauer
2013 PIK - Praxis der Informationsverarbeitung und Kommunikation  
The rise of service-oriented personal cloud computing requires new techniques for users to perform asset discovery, exchange and management.  ...  Following the Everything-as-a-Service paradigm, digital and physical assets such as software, data and hardware resources can be offered and delivered as services by their respective owners.  ...  For RaaS, CloudRemix refers to a dynamic device discovery tool called FlexiSource which generates service descriptions about idle resources.  ... 
doi:10.1515/pik-2012-0149 fatcat:xqvlyareeffqto6fmhu25ceyu4

MOBILE WEB SERVICE DISCOVERY: A CLOUDLET MEDIATED FRAMEWORK

Murimo Bethel Mutanga
2022 Journal of research in engineering and applied sciences  
The mobile web services paradigm (MWS) promises anywhere and all-time availability of services by leveraging the proliferation of smart devices with advanced capabilities.  ...  Consequently, research is focusing on ad-hoc mobile cloud, which extends the functional and architectural scope of MWS to include platforms for offering inexpensive and collaborative services co-hosted  ...  This paradigm advocates the need for mobile devices themselves to be co-providers of web services in a manner that can create an "opportunistic platform for inexpensive and collaborative resource provisioning  ... 
doi:10.46565/jreas.2022.v07i01.002 fatcat:gh6ji75aebb3vbl4yxibqgam3m

S-COAP: Semantic Enrichment of COAP for Resource Discovery

C. P. Vandana, Ajeet A. Chikkamannur
2020 SN Computer Science  
Ensuring efficient and context aware resource discovery is a challenge in seamless operation of IoT applications. Semantic Intelligence can be built for resource discovery.  ...  Internet of Things (IoT) paradigm is progressing at an enormous rate creating an expansive ecosystem of interconnected smart devices which needs to be controlled and managed by end applications or users  ...  Also, a complete framework is proposed for resource discovery based on semantics and social IOT paradigm. Semantic-based group composition was proposed.  ... 
doi:10.1007/s42979-020-0104-y dblp:journals/sncs/VandanaC20 fatcat:bczds6o5vvfjlhktb7arbeogii

Service Discovery in Mobile Ad-Hoc Environments: A Solution Space Analysis

Murimo Bethel Mutanga
2020 International Journal of Emerging Trends in Engineering Research  
Consequently, the traditional service discovery mechanisms designed for Cloud computing cannot be adopted into AMC.  ...  This peculiar functional architecture that relies on resource-limited devices to host and perform discovery operations introduces another dimension to the service discovery challenge in conventional mobile  ...  too resource-intensive for mobile devices.  ... 
doi:10.30534/ijeter/2020/128872020 fatcat:o6h7qkyajnghbip2agrpivksf4

Heliophysics Discovery Tools for the 21st Century: Data Science and Machine Learning structures and recommendations for 2020-2050 [article]

Ryan McGranaghan, Barbara Thompson, Enrico Camporeale, Jacob Bortnik, Monica Bobra, Giovanni Lapenta, Simon Wing, Bala Poduval, Stefan Lotz, Sophie Murray, Michael Kirk, Hazel Bain (+4 others)
2020 Zenodo  
On the other hand, we are beginning to recognize that powerful new opportunities for scientific discovery are possible through increased data volume and sophisticated methods to explore these data.  ...  On one hand we operate in the same paradigm that has guided the field over the past couple of decades, ruled by the triumvirate of data, theory, and simulations.  ...  Finally, we note that equally important to the use of DS and ML for scientific discovery are the software and computational resources that they require.  ... 
doi:10.5281/zenodo.4025351 fatcat:gl4ntng3h5hztce6gz35kpddwe

Heliophysics Discovery Tools for the 21st Century: Data Science and Machine Learning structures and recommendations for 2020-2050 [article]

Ryan McGranaghan, Barbara Thompson, Enrico Camporeale, Jacob Bortnik, Monica Bobra, Giovanni Lapenta, Simon Wing, Bala Poduval, Stefan Lotz, Sophie Murray, Michael Kirk, Hazel Bain (+4 others)
2020 Zenodo  
On the other hand, we are beginning to recognize that powerful new opportunities for scientific discovery are possible through increased data volume and sophisticated methods to explore these data.  ...  On one hand we operate in the same paradigm that has guided the field over the past couple of decades, ruled by the triumvirate of data, theory, and simulations.  ...  Finally, we note that equally important to the use of DS and ML for scientific discovery are the software and computational resources that they require.  ... 
doi:10.5281/zenodo.4048814 fatcat:nuwom6hagrcfhivodkbhxtv37u

Artificial intelligence, dynamic efficiency and Economics

Vincent Wolters
2021 Procesos de Mercado: revista europea de economia politica  
paradigm, and it is still the do-minant one.  ...  .), I will show that this and related fields have yielded insights that, when applied to the study of economics, may call for a different way of looking at the eco-nomy and its processes.  ...  a) Entrepreneurial Discovery A first condition for finding good solutions is to make sure the whole search space is available for discovery. As such, this sounds rather trivial.  ... 
doi:10.52195/pm.v8i1.270 fatcat:mvx7aae6j5aojich75e5rdxl3e

Semantic-Based Knowledge Dissemination and Extraction in Smart Environments

M. Ruta, F. Scioscia, E. Di Sciascio, D. Rotondi, S. Piccione
2013 2013 27th International Conference on Advanced Information Networking and Applications Workshops  
Logic-based standard and non-standard inference services can be exploited in matchmaking and negotiation for service/resource discovery and on-the-fly reasoning, as well as for large-scale analyses.  ...  This paper presents a semantic content-centric framework enabling cooperative environments where resources can be discovered, queried and inventoried by autonomous objects in a peer-to-peer, collaborative  ...  Most information-centric paradigms use route-by-name for resource discovery and routing [9] .  ... 
doi:10.1109/waina.2013.249 dblp:conf/aina/RutaSSRP13 fatcat:d43rbifwmvd2dpjvegte4dxs5e

Understanding Data Science: An Emerging Discipline for Data Intensive Discovery

Michael L. Brodie
2015 International Conference on Data Analytics and Management in Data Intensive Domains  
Over the past two decades, Data-Intensive Analysis has emerged not only as a basis for the Fourth Paradigm of engineering and scientific discovery but as a basis for discovery in most human endeavors for  ...  The objective of this emerging Fourth Paradigm is more than acquiring data and extracting knowledge.  ...  Can we say the same for modern Data Science as a discovery paradigm and for its results?  ... 
dblp:conf/rcdl/Brodie15 fatcat:tauyvkknp5f3ddych37xnrzy24
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