HypnOS: A Sleep Monitoring and Recommendation System to Improve Sleep Hygiene in Intelligent Homes

2020 ◽  
pp. 433-439
Author(s):  
Eleni Tsolakou ◽  
Asterios Leonidis ◽  
Vasilios Kouroumalis ◽  
Maria Korozi ◽  
Margherita Antona ◽  
...  
Keyword(s):  
Recommendation System ◽  
Sleep Hygiene ◽  
Sleep Monitoring

Lifestyle Practices and Nocturnal Sleep in Midlife Women with and without Insomnia

2004 ◽  
Vol 6 (1) ◽  
pp. 46-58 ◽  
Author(s):  
Rita E. Cheek ◽  
Joan L. Shaver ◽  
Martha J. Lentz
Keyword(s):  
Sleep Quality ◽  
Sleep Hygiene ◽  
Drinking Alcohol ◽  
Nocturnal Sleep ◽  
Sleep Monitoring ◽  
Community Based ◽  
Dummy Variables ◽  
Lifestyle Practices ◽  
Quality Sleep ◽  
History Of

Relationships between common lifestyle practices important to sleep hygiene (e.g., smoking cigarettes, drinking alcohol, ingesting caffeine, exercising, bedtimes, getting-up times) and nocturnal sleep have not been documented for women with insomnia in their home environments. This community-based sample of 121 women, ages 40 to 55 years, included 92 women who had experienced insomnia for at least 3 months and 29womenwith good-quality sleep. Women recorded lifestyle practices and sleep perceptions (time to fall asleep, awakenings during sleep, feeling rested after sleeping, and overall sleep quality) in diaries while undergoing 6 nights of somnographic sleep monitoring at home. Compared to women with good-quality sleep, women with insomnia reported greater nightto-night variation in perceived sleep variables, poorer overall sleep quality (M = 2.8,SD = 0.7 vs.M = 1.9,SD = 0.5,P < 0.05), and longer times to fall asleep (M = 25 min,SD = 14.2 vs.M = 12.9 min,SD = 5.8,P < 0.05). Correlations between mean individual lifestyle practice scores and mean perceived or somnographic sleep variables were low, ranging from 0 to 0.20. An aggregated sleep hygiene practice score was not associated with either perceived or somnographic sleep variables. Regression analysis using dummy variables showed that combinations of alcohol, caffeine, exercise, smoking, and history of physical disease explained 9% to 19% of variance in perceived or somnographic sleep variables. Lifestyle practices, and combinations thereof, do warrant consideration when assessing or treating insomnia, but these data fail to support a dominant relationship between lifestyle practices and either perceived or somnographic sleep variables.

Improvements in Sleep Hygiene Benefit Chronic Migraine

2006 ◽  
Vol 34 (3) ◽  
pp. 64
Author(s):  
DEBBIE LERMAN
Keyword(s):  
Chronic Migraine ◽  
Sleep Hygiene

Analysis on Research Paper Publication Recommendation System with Composition of Papers and Conferences Matrices

2020 ◽  
pp. 120-127
Author(s):  
Htay Htay Win ◽  
Aye Thida Myint ◽  
Mi Cho Cho
Keyword(s):  
Social Network ◽  
Dimensionality Reduction ◽  
Correspondence Analysis ◽  
Recommendation System ◽  
Research Paper ◽  
Topic Modelling ◽  
Research Papers ◽  
The Right ◽  
Publication Recommendation

For years, achievements and discoveries made by researcher are made aware through research papers published in appropriate journals or conferences. Many a time, established s researcher and mainly new user are caught up in the predicament of choosing an appropriate conference to get their work all the time. Every scienti?c conference and journal is inclined towards a particular ?eld of research and there is a extensive group of them for any particular ?eld. Choosing an appropriate venue is needed as it helps in reaching out to the right listener and also to further one’s chance of getting their paper published. In this work, we address the problem of recommending appropriate conferences to the authors to increase their chances of receipt. We present three di?erent approaches for the same involving the use of social network of the authors and the content of the paper in the settings of dimensionality reduction and topic modelling. In all these approaches, we apply Correspondence Analysis (CA) to obtain appropriate relationships between the entities in question, such as conferences and papers. Our models show hopeful results when compared with existing methods such as content-based ?ltering, collaborative ?ltering and hybrid ?ltering.

Towards Small-Sized Long Tail Business with the Dual-Directed Recommendation System

2010 ◽  
Vol 130 (2) ◽  
pp. 317-323
Author(s):  
Masakazu Takahashi ◽  
Takashi Yamada ◽  
Kazuhiko Tsuda ◽  
Takao Terano
Keyword(s):  
Recommendation System ◽  
Long Tail

A Prototype for Software Refactoring Recommendation System

2020 ◽  
Vol 16 (7) ◽  
pp. 1095
Author(s):  
Gao Yuan ◽  
Zhang Youchun ◽  
Lu Wenpen ◽  
Luo Jie ◽  
Hao Daqing
Keyword(s):  
Recommendation System ◽  
Software Refactoring

A Recommender System for Inverse Design of Polycarbonates and Polyesters

2020 ◽  
Author(s):  
Nathaniel Park ◽  
Dmitry Yu. Zubarev ◽  
James L. Hedrick ◽  
Vivien Kiyek ◽  
Christiaan Corbet ◽  
...  
Keyword(s):  
Ring Opening ◽  
High Performance ◽  
Recommendation System ◽  
Polymeric Materials ◽  
Monomer Conversion ◽  
Design Strategy ◽  
Ring Opening Polymerization ◽  
Inverse Design ◽  
False Negatives ◽  
Accelerate Development

The convergence of artificial intelligence and machine learning with material science holds significant promise to rapidly accelerate development timelines of new high-performance polymeric materials. Within this context, we report an inverse design strategy for polycarbonate and polyester discovery based on a recommendation system that proposes polymerization experiments that are likely to produce materials with targeted properties. Following recommendations of the system driven by the historical ring-opening polymerization results, we carried out experiments targeting specific ranges of monomer conversion and dispersity of the polymers obtained from cyclic lactones and carbonates. The results of the experiments were in close agreement with the recommendation targets with few false negatives or positives obtained for each class.<br>

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