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Development of mental health alliances in China (2017 Edition)

Fei Xie, Yong Wang, Qing Zhang, Zhiyu Chen, Shenbing Gu, Weili Guan, Chunbo Li, Tao Li, Xiaosi Li, Li Luo, Yuping Ning, Lisheng Song (+4 others)
2018 Journal of Hospital Management and Health Policy  
Acknowledgments We thank Xie Fei, Wang Yong, Zhang Qing, Wang Shuai, and many other experts in mental health and other medical fields participated in the framework design and content discussions.  ...  We wish to acknowledge their invaluable inputs in the development and revisions of this project. We also thank Sanofi for its kind support for the production of this project.  ...  Objectives on the push for medical alliance Construction of medical alliances is an important measure to promote the sinking of high-quality medical resources, enhance the capacity-building in primary  ... 
doi:10.21037/jhmhp.2018.07.03 fatcat:yuhkzchc2zdmphnds3q6k4d2di

Autonomic Role and Mission Allocation Framework for Wireless Sensor Networks

Themistoklis Bourdenas, Kenji Tei, Shinichi Honiden, Morris Sloman
2011 2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems  
Consequently, pervasive systems must be capable to autonomically adapt to changing conditions without involving users becoming a transparent asset in the environment.  ...  In this paper, we present an autonomic mechanism for initial task assignment in sensor networks, an NP-hard problem.  ...  Institute of Informatics, Japan for supporting Themistoklis Bourdenas visit to the Institute and acknowledge support from EPSRC for Grant EP/EO251881 AEDUS2: Adaptable Environments for Distributed Ubiquitous Systems  ... 
doi:10.1109/saso.2011.17 dblp:conf/saso/BourdenasTHS11 fatcat:qemgokhiwbbprky2hrm7hnbyyy

Energy efficiency in wireless sensor networks: A top-down survey

Tifenn Rault, Abdelmadjid Bouabdallah, Yacine Challal
2014 Computer Networks  
On the other hand, unlike other networks, WSNs are designed for specific applications which range from small-size healthcare surveillance systems to large-scale environmental monitoring.  ...  In this context, a host of research work has been conducted in order to propose a wide range of solutions to the energysaving problem.  ...  This work was carried out and funded in the framework of the Labex MS2T.  ... 
doi:10.1016/j.comnet.2014.03.027 fatcat:zfkrhg2drzdafcxzshqoeobkv4

Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions [article]

Ranesh Kumar Naha, Saurabh Garg, Dimitrios Georgakopoulos, Prem Prakash Jayaraman, Longxiang Gao, Yong Xiang, Rajiv Ranjan
2018 arXiv   pre-print
We also discuss existing research works and gaps in resource allocation and scheduling, fault tolerance, simulation tools, and Fog-based microservices.  ...  In IoT environments, connected things generate a huge amount of data, which are generally referred to as big data.  ...  HEALTHCARE The Fog computing approach also enables real-time sensorbased healthcare services. Rahmani et al. [101] proposed a Fog-assisted system architecture for the healthcare system.  ... 
arXiv:1807.00976v1 fatcat:tbgtjxn7kratpcg46hvmkqzm34

Management of customizable Software-as-a-Service in cloud and network environments

Hendrik Moens, Bart Dhoedt, Filip De Turck
2016 NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium  
Graag wil ik dan ook Stefan Walraven, Eddy Truyen, Bert Lagaisse, Dimitri Van Landuyt en Wouter Joosen van KU Leuven, Marino Verheye van Televic Healthcare en Koen Handekeyn van up-nxt bedanken voor hun  ...  Via verschillende industrieprojecten, CUSTOMSS, PUMA en MECaNO werkte ik ook samen met verscheidene mensen van andere universiteiten en bedrijven, die mij hielpen om vanuit een ander standpunt naar verschillende  ...  We thank Televic Healthcare for their input on our evaluation use case.  ... 
doi:10.1109/noms.2016.7502932 dblp:conf/noms/MoensDT16 fatcat:zjxqxcrzovgpbkamv4w2svctzq

Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions

2018 IEEE Access  
One of the key challenges in running IoT applications in a Fog computing environment are resource allocation and task scheduling.  ...  In IoT environments, connected things generate a huge amount of data, which are generally referred to as big data.  ...  ACKNOWLEDGEMENT The authors would like to sincerely thank Professor Rajkumar Buyya for his insightful comments and discussion on improving the overall quality of the paper.  ... 
doi:10.1109/access.2018.2866491 fatcat:eohm7vdbpvdazkv7afmwml6eui

Tactile based Intelligence Touch Technology in IoT configured WCN in B5G/6G-A Survey

Mantisha Gupta, Rakesh Kumar Jha, Sanjeev Jain
2022 IEEE Access  
Conclusively the article presents a few use cases concerning the deployment of touch infrastructure in automation and robotics as well as in intelligent healthcare systems, assisting in the diagnosis and  ...  It has a drastic impact on the society due to its high precision, accuracy, reliability and efficiency as well as the ability to connect a user from far away or remote areas.  ...  A high data rate guarantees a high level of end user service quality with an unlimited mobile broadband connectivity in the jam-packed areas like stadiums, concerts and shopping centers, by means of the  ... 
doi:10.1109/access.2022.3148473 fatcat:dbzbqyq3efaj7pbfwf4izmju64

Artificial Intelligence Techniques for Cognitive Sensing in Future IoT: State-of-the-Art, Potentials, and Challenges

Martins O. Osifeko, Gerhard P. Hancke, Adnan M. Abu-Mahfouz
2020 Journal of Sensor and Actuator Networks  
This survey contributes to a better understanding of AI techniques deployed for cognitive sensing in FIoT as well as future research directions in this regard.  ...  In this article, we provide a survey of different Artificial Intelligence (AI)-based techniques used over the last decade to provide cognitive sensing solutions for different FIoT applications.  ...  can sometimes be high for the resource-deprived nodes.  ... 
doi:10.3390/jsan9020021 fatcat:jhhenqau2fgvdjmoqkovs73rle

Abstracts from the 5th International Conference on Prevention & Infection Control (ICPIC 2019)

2019 Antimicrobial Resistance and Infection Control  
improve quality of healthcare.  ...  healthcare system.  ...  Introduction: In resource-limited settings (RLS), healthcare-associated neonatal sepsis is associated with high morbidity, mortality, length of hospital stay, and healthcare cost.  ... 
doi:10.1186/s13756-019-0567-6 fatcat:mm5lbh6wbjdo7lw2kdb4ccoxru

What's Measured Is Not Necessarily What Matters: A Cautionary Story from Public Health

Raisa Deber, Robert Schwartz
2016 Healthcare Policy | Politiques de Santé  
However, health service organizations have struggled with the development of systems for performance measurement, and there is a very poor evidence base to guide best practices in this area.  ...  system.  ...  system and health systems research capacity.  ... 
doi:10.12927/hcpol.2016.24941 fatcat:63vc7i26endwlbx55an6tg4kui

Internet of Things (IoT): A vision, architectural elements, and future directions

Jayavardhana Gubbi, Rajkumar Buyya, Slaven Marusic, Marimuthu Palaniswami
2013 Future generations computer systems  
The scheduler is able to mange resource failures by reallocating those tasks to other suitable Cloud resources.  ...  Dynamic scheduling and resource allocation algorithms based on particle swarm optimization are being developed. For high capacity applications and as IoT grows, this could become a bottleneck.  ... 
doi:10.1016/j.future.2013.01.010 fatcat:ubkcdx7qn5a3papqmtmn5wsdoy

6G Cognitive Information Theory: A Mailbox Perspective

Yixue Hao, Yiming Miao, Min Chen, Hamid Gharavi, Victor C. M. Leung
2021 Big Data and Cognitive Computing  
However, a 5G communication system is still based on Shannon's information theory, while the meaning and value of information itself are not taken into account in the process of transmission.  ...  Finally, we establish a cognitive communication system assisted by deep learning.  ...  ., a distributed storage system should be adopted to store high-quality heterogeneous sensor data in real time [52] .  ... 
doi:10.3390/bdcc5040056 fatcat:ffof5likzbhfnopa3yfaobznfa

Quality Disclosure and Certification: Theory and Practice

David Dranove, Ginger Zhe Jin
2010 Journal of Economic Literature  
We further review empirical evidence on these issues, with a particular focus on healthcare, education, and finance.  ...  After comparing quality disclosure with other quality assurance mechanisms and describing a brief history of quality disclosure, we address three key theoretical issues: (i) Why don't sellers voluntarily  ...  It is unclear whether branding acts as a "bond" in which the seller sinks an investment in branding to signal its high quality or whether branding makes it easier for consumers to recall their positive  ... 
doi:10.1257/jel.48.4.935 fatcat:xot7nljnorh5lmtelqiv3mnqw4

Formal ESL Synthesis for Control-Intensive Applications

Michael F. Dossis
2012 Advances in Software Engineering  
Due to the massive complexity of contemporary embedded applications and integrated systems, long effort has been invested in high-level synthesis (HLS) and electronic system level (ESL) methodologies to  ...  automatically produce correct implementations from high-level, abstract, and executable specifications written in program code.  ...  The latter reallocates groups of elements of different types in order to refine the datapath implementation [10] . Early High-Level Synthesis.  ... 
doi:10.1155/2012/156907 fatcat:f55w3dv6crflzfqinksfrcahnu

Intelligent Computing Research Studies in Life Science

Dr. Thilagamani S
2019 International Journal of Pharma and Bio Sciences  
Cloud security is nowadays a vital part in healthcare system as the health information is highly sensitive.  ...  The cloud security in healthcare system must ensure that the patient's data must be confidential and secure.  ...  The short message service is considered to be one of the extensively approach for alerts and reminders in healthcare and security fields. The alert system is widely spread in healthcare fields.  ... 
doi:10.22376/ijpbs/10.sp01/oct/2019.1-142 fatcat:6fc5ghwmjbgrphetiablavajxm
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