scholarly journals Sleep Supports Selective Retention of Associative Memories Based on Relevance for Future Utilization

PLoS ONE ◽  
2012 ◽  
Vol 7 (8) ◽  
pp. e43426 ◽  
Author(s):  
Eelco V. van Dongen ◽  
Jan-Willem Thielen ◽  
Atsuko Takashima ◽  
Markus Barth ◽  
Guillén Fernández
Author(s):  
Yukimoto MAEDA ◽  
Toshihiro ODO ◽  
Takeshi MITSUGI ◽  
Satoru NAKAI ◽  
Soju SUZUKI ◽  
...  
Keyword(s):  

Author(s):  
Bhargavi Munnaluri ◽  
K. Ganesh Reddy

Wind forecasting is one of the best efficient ways to deal with the challenges of wind power generation. Due to the depletion of fossil fuels renewable energy sources plays a major role for the generation of power. For future management and for future utilization of power, we need to predict the wind speed.  In this paper, an efficient hybrid forecasting approach with the combination of Support Vector Machine (SVM) and Artificial Neural Networks(ANN) are proposed to improve the quality of prediction of wind speed. Due to the different parameters of wind, it is difficult to find the accurate prediction value of the wind speed. The proposed hybrid model of forecasting is examined by taking the hourly wind speed of past years data by reducing the prediction error with the help of Mean Square Error by 0.019. The result obtained from the Artificial Neural Networks improves the forecasting quality.


2016 ◽  
Author(s):  
A. P. Alves da Silva ◽  
A. H. F. Insfran ◽  
P. M. da Silveira ◽  
G. Lambert-Torres

2017 ◽  
Vol 2017 (7) ◽  
pp. 4079-4084 ◽  
Author(s):  
Nerea Uri ◽  
Per Henrik Nielsen ◽  
Adrienne Willoughby ◽  
Leon Downing ◽  
Zheqin Li ◽  
...  

2021 ◽  
Vol 299 ◽  
pp. 15-34
Author(s):  
Ming Zhang ◽  
Caroline L. Peacock ◽  
Peng Cai ◽  
Ke-Qing Xiao ◽  
Chenchen Qu ◽  
...  

2021 ◽  
Vol 1049 (1) ◽  
pp. 012001
Author(s):  
Rama Murthy Garimella ◽  
Aman Singh ◽  
GC Jyothi Prasanna ◽  
Manasa Jagannadan ◽  
Vidya Sree Vankam ◽  
...  
Keyword(s):  

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Dexin Shen ◽  
Lingao Ju ◽  
Fenfang Zhou ◽  
Mengxue Yu ◽  
Haoli Ma ◽  
...  

AbstractProstate cancer (PCa) is one of the most commonly diagnosed human cancers in males. Nearly 191,930 new cases and 33,330 new deaths of PCa are estimated in 2020. Androgen and androgen receptor pathways played essential roles in the pathogenesis of PCa. Androgen depletion therapy is the most used therapies for primary PCa patients. However, due to the high relapse and mortality of PCa, developing novel noninvasive therapies have become the focus of research. Melatonin is an indole-like neurohormone mainly produced in the human pineal gland with a prominent anti-oxidant property. The anti-tumor ability of melatonin has been substantially confirmed and several related articles have also reported the inhibitory effect of melatonin on PCa, while reviews of this inhibitory effect of melatonin on PCa in recent 10 years are absent. Therefore, we systematically discuss the relationship between melatonin disruption and the risk of PCa, the mechanism of how melatonin inhibited PCa, and the synergistic benefits of melatonin and other drugs to summarize current understandings about the function of melatonin in suppressing human prostate cancer. We also raise several unsolved issues that need to be resolved to translate currently non-clinical trials of melatonin for clinic use. We hope this literature review could provide a solid theoretical basis for the future utilization of melatonin in preventing, diagnosing and treating human prostate cancer.


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