Past variations and future projection of runoff in typical basins in 10 water zones, China

2021 ◽  
Vol 798 ◽  
pp. 149277
Author(s):  
Xiaoxiang Guan ◽  
Jianyun Zhang ◽  
Zhenxin Bao ◽  
Cuishan Liu ◽  
Junliang Jin ◽  
...  
Keyword(s):  
Future Projection

Narrative as active inference

2020 ◽  
Author(s):  
Nabil Bouizegarene ◽  
maxwell ramstead ◽  
Axel Constant ◽  
Karl Friston ◽  
Laurence Kirmayer
Keyword(s):  
Well Being ◽  
Social Practices ◽  
Human Adaptation ◽  
Active Inference ◽  
Future Projection ◽  
Future Developments ◽  
The Social ◽  
Parsimonious Model ◽  
Living Organisms ◽  
Theory Research

The ubiquity and importance of narratives in human adaptation has been recognized by many scholars. Research has identified several functions of narratives that are conducive to individuals’ well-being and adaptation as well as to coordinated social practices and enculturation. In this paper, we characterize the social and cognitive functions of narratives in terms of the framework of active inference. Active inference depicts the fundamental tendency of living organisms to adapt by creating, updating, and maintaining inferences about their environment. We review the literature on the functions of narratives in identity, event segmentation, episodic memory, future projection, storytelling practices, and enculturation. We then re-cast these functions of narratives in terms of active inference, outlining a parsimonious model that can guide future developments in narrative theory, research, and clinical applications.

FUTURE PROJECTION OF SPECTRAL WAVE CLIMATE AROUND JAPAN

2019 ◽  
Vol 75 (2) ◽  
pp. I_1177-I_1182
Author(s):  
Tomoya SHIMURA ◽  
Nobuhito MORI
Keyword(s):  
Wave Climate ◽  
Future Projection

scholarly journals Correction to: Future projection of maximum potential storm surge height at three major bays in Japan using the maximum potential intensity of a tropical cyclone

2021 ◽  
Vol 164 (3-4) ◽  
Author(s):  
Nobuhito Mori ◽  
Nozomi Ariyoshi ◽  
Tomoya Shimura ◽  
Takuya Miyashita ◽  
Junichi Ninomiya
Keyword(s):  
Tropical Cyclone ◽  
Storm Surge ◽  
Future Projection ◽  
Surge Height

Future projection of maximum potential storm surge height at three major bays in Japan using the maximum potential intensity of a tropical cyclone

2021 ◽  
Vol 164 (3-4) ◽  
Author(s):  
Nobuhito Mori ◽  
Nozomi Ariyoshi ◽  
Tomoya Shimura ◽  
Takuya Miyashita ◽  
Junichi Ninomiya
Keyword(s):  
Tropical Cyclone ◽  
Storm Surge ◽  
Future Projection ◽  
Surge Height

Modeling CO2 Emissions of Top 5 Emitters with Combination Technique

2012 ◽  
Vol 616-618 ◽  
pp. 1143-1147
Author(s):  
Wei Sun ◽  
Jing Min Wang ◽  
Jun Jie Kang
Keyword(s):  
Forecast Error ◽  
Combination Method ◽  
Future Projection ◽  
Forecasting Accuracy ◽  
Combination Technique ◽  
Combination Forecast ◽  
Forecast Models ◽  
Model Time Series ◽  
Grey Verhulst Model ◽  
Better Than

In this paper, the performance of combination forecast methods for CO2 emissions prediction is investigated. Linear model, time series model, GM (1, 1) model and Grey Verhulst model are selected in study as the separate models. And, four kinds of combination forecast models, i.e. the equivalent weight (EW) combination method, variance-covariance (VACO) combination method, regression combination (R) method, and discounted mean square forecast error (MSFE) method are chosen to employ for top 5 CO2 emitters. The forecasting accuracy is compared between these combination models and single models. This research suggests that the combination forecasts are almost certain to outperform the worst individual forecasts and maybe even better than most individual ones. Furthermore the combination forecasts can avoid the risk of model choosing in future projection. For CO2 emissions forecast with many uncertain factors in the future, combining the single forecast would be safer in such forecasting situations.

Future projection for forest management suggests a decrease in the availability of nesting habitats for a mature-forest-nesting raptor

2021 ◽  
Vol 491 ◽  
pp. 119168
Author(s):  
Gintautas Mozgeris ◽  
Ulla Mörtberg ◽  
Xi-Lillian Pang ◽  
Renats Trubins ◽  
Rimgaudas Treinys
Keyword(s):  
Forest Management ◽  
Future Projection ◽  
Mature Forest
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