An investigation of network support for grid middleware and applications

2004 ◽  
Author(s):  
Y.F. Wong ◽  
C.Y. Wong ◽  
L.H. Ngoh ◽  
W.C. Wong
Keyword(s):  
Network Support ◽  
Grid Middleware

External sources promoting resilience in adults with intellectual disabilities: A systematic literature review

2020 ◽  
pp. 174462952096194 ◽  
Author(s):  
Femke Scheffers ◽  
Xavier Moonen ◽  
Eveline van Vugt
Keyword(s):  
Social Network ◽  
Literature Review ◽  
Intellectual Disabilities ◽  
Positive Emotions ◽  
Network Support ◽  
Increased Risk ◽  
The Social ◽  
The Face ◽  
External Sources ◽  
Adults With Intellectual Disabilities

Background: Persons with an intellectual disability are at increased risk of experiencing adversities. The current study aims at providing an overview of the research on how resilience in adults with intellectual disabilities, in the face of adversity, is supported by sources in their social network. Method: A literature review was conducted in the databases Psycinfo and Web of Science. To evaluate the quality of the included studies, the Mixed Method Appraisal Tool (MMAT) was used. Results: The themes: “ positive emotions,” “ network acceptance,” “ sense of coherence” and “ network support,” were identified as sources of resilience in the social network of the adults with intellectual disabilities. Conclusion: The current review showed that research addressing sources of resilience among persons with intellectual disabilities is scarce. In this first overview, four sources of resilience in the social network of people with intellectual disabilities were identified that interact and possibly strengthen each other.

scholarly journals Is It Possible to Forecast the Price of Bitcoin?

Forecasting ◽  
2021 ◽  
Vol 3 (2) ◽  
pp. 377-420
Author(s):  
Julien Chevallier ◽  
Dominique Guégan ◽  
Stéphane Goutte
Keyword(s):  
Data Analytics ◽  
Daily Variation ◽  
A Priori ◽  
Machine Learning Algorithms ◽  
Support Vector ◽  
Market Growth ◽  
Network Support ◽  
Market Participants ◽  
Nearest Neighbours ◽  
Stationary Behavior

This paper focuses on forecasting the price of Bitcoin, motivated by its market growth and the recent interest of market participants and academics. We deploy six machine learning algorithms (e.g., Artificial Neural Network, Support Vector Machine, Random Forest, k-Nearest Neighbours, AdaBoost, Ridge regression), without deciding a priori which one is the ‘best’ model. The main contribution is to use these data analytics techniques with great caution in the parameterization, instead of classical parametric modelings (AR), to disentangle the non-stationary behavior of the data. As soon as Bitcoin is also used for diversification in portfolios, we need to investigate its interactions with stocks, bonds, foreign exchange, and commodities. We identify that other cryptocurrencies convey enough information to explain the daily variation of Bitcoin’s spot and futures prices. Forecasting results point to the segmentation of Bitcoin concerning alternative assets. Finally, trading strategies are implemented.

scholarly journals Research on Automated Defect Classification Based on Visual Sensing and Convolutional Neural Network-Support Vector Machine for GTA-Assisted Droplet Deposition Manufacturing Process

Metals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 639
Author(s):  
Chen Ma ◽  
Haifei Dang ◽  
Jun Du ◽  
Pengfei He ◽  
Minbo Jiang ◽  
...  
Keyword(s):  
Neural Network ◽  
Support Vector Machine ◽  
Convolutional Neural Network ◽  
Manufacturing Process ◽  
Support Vector ◽  
Defect Classification ◽  
Droplet Deposition ◽  
Network Support ◽  
Visual Sensing ◽  
Low Efficiency

This paper proposes a novel metal additive manufacturing process, which is a composition of gas tungsten arc (GTA) and droplet deposition manufacturing (DDM). Due to complex physical metallurgical processes involved, such as droplet impact, spreading, surface pre-melting, etc., defects, including lack of fusion, overflow and discontinuity of deposited layers always occur. To assure the quality of GTA-assisted DDM-ed parts, online monitoring based on visual sensing has been implemented. The current study also focuses on automated defect classification to avoid low efficiency and bias of manual recognition by the way of convolutional neural network-support vector machine (CNN-SVM). The best accuracy of 98.9%, with an execution time of about 12 milliseconds to handle an image, proved our model can be enough to use in real-time feedback control of the process.

scholarly journals Social support, adherence to Mediterranean diet and physical activity in adults: results from a community-based cross-sectional study

2020 ◽  
Vol 9 ◽  
Author(s):  
Elpiniki Laiou ◽  
Iro Rapti ◽  
Georgios Markozannes ◽  
Luisella Cianferotti ◽  
Lena Fleig ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Mediterranean Diet ◽  
Emotional Support ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Network Support ◽  
Diet And Physical Activity ◽  
Social Network Support

Abstract There is a growing recognition that social support can potentially exert consistent or opposing effects in influencing health behaviours. The present paper presents a cross-sectional study, including 2,064 adults from Italy, Spain and Greece, who were participants in a multi-centre randomised controlled trial (C4H study), aiming to examine whether social support is correlated with adherence to a healthy Mediterranean diet and physical activity. Social support data were available for 1,572 participants. The majority of the sample reported emotional support availability (84·5 %), financial support availability (72·6 %) and having one or more close friends (78·2 %). Mediterranean diet adherence was significantly associated with emotional support (P = 0·009) and social network support (P = 0·021). No statistically significant associations were found between participant physical activity and the social support aspects studied. In conclusion, emotional and social network support may be associated with increased adherence to the Mediterranean diet. However, further research is needed to evaluate the role of social support in adherence to healthy Mediterranean diet.

The Effect of Under- and Over-Benefited Support Gaps on Hurt Feelings, Esteem, and Relationships

2015 ◽  
Vol 46 (6) ◽  
pp. 785-810 ◽  
Author(s):  
Rachel M. McLaren ◽  
Andrew C. High
Keyword(s):  
Matching Theory ◽  
Informational Support ◽  
Negative Outcomes ◽  
Supportive Communication ◽  
Optimal Matching ◽  
Network Support ◽  
Different Types ◽  
Hurt Feelings ◽  
Tangible Support

Although the supportive communication people receive from others during stressful times can be helpful, it can also result in negative outcomes. One explanation for these different effects might be how closely the support people receive matches their desires. This study extends optimal matching theory and examines how the discrepancy between the support people want and what they receive (called support gaps) corresponds with hurt feelings, perceived negative relational consequences, and esteem improvement. People can either receive less support than the desire (i.e., be under-benefited) or receive more support than they desire (i.e., be over-benefited), and these different types of support gaps produce distinct patterns of results. Specifically, action-facilitating support, which includes informational and tangible support, and nurturant support, which includes emotional, esteem, and network support, were studied. Results showed that being over-benefited in informational support and being under-benefited in emotional and esteem support is hurtful, and hurt corresponded with negative relational consequences and reduced esteem improvement. Implications for research on support gaps and hurt feelings are discussed.

Seamless TCP Migration on Smartphones without Network Support

2014 ◽  
Vol 13 (3) ◽  
pp. 678-692 ◽  
Author(s):  
Ahmad Rahmati ◽  
Clayton Shepard ◽  
Chad C. Tossell ◽  
Lin Zhong ◽  
Philip Kortum ◽  
...  
Keyword(s):  
Network Support
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