Subjective Wellbeing in Rural China: How Social Environments Influence the Diurnal Rhythms of Affect

Although the diurnal rhythms of affect influence people’s health and behavior, there is a lack of evidence from rural China, where the types and timing of social activities may differ from Western contexts. In this study, a total of 2847 Chinese rural residents from three provinces of China are interviewed using the abbreviated Day Reconstruction Method (DRM) questionnaire. Diurnal rhythms of three affective subjective wellbeing (SWB) indicators—positive affect (PoA), negative affect (NeA), and net affect are analyzed by multilevel models. Our results show PoA and net affect generally increase in magnitude throughout the day with two peaks around noon and in the evening, respectively; whereas, there is an overall decline in NeA as the day passes with two troughs occurring at lunchtime and in the evening. These patterns, however, flatten considerably, with the lunchtime peaks in PoA and net affect (and trough in NeA) disappearing entirely, after further controlling for two social environmental factors—activity type and the quality of social interaction. This study, set in rural China, corroborates the diurnal rhythms of affect from prior Western research to some extent, and highlights that social environmental factors have a significant effect on diurnal rhythms of affect in the rural Chinese context. It is possible that the diurnal rhythms of affect could change in response to stimulation from the environment. Improving some social environmental factors, such as organizing pleasant activities and creating a friendly interactive environment, could contribute to the increase in positive affect and decline in negative affect, thereby enhancing the quality of life.

The Retrospective Evaluation of Positive and Negative Affect

A vast amount of literature examined the relationship between retrospective affective evaluations and evaluations of affective experiences. This literature has focused on simple momentary experiences, and was based on a unidimensional concept of affect. The current article examines the relationships between evaluations of complex experiences, experiences involving both positive and negative feelings, and the retrospective evaluation of these experiences. Based on the idea that negative information is better remembered than positive information, we predict that in comparison with negative retrospective evaluations, positive evaluations have a stronger correlation with end affect and a weaker correlation with peak affect. These predictions are tested in two studies. We explore boundary conditions for these effects and demonstrate the implications of the asymmetry between positive and negative affect to various topics that are at the center of affect research: the dimensionality of affective experiences, the memory-experience gap, and the analysis of net affect.

A model for allometric permeation in fractal branching channel net driven by capillary pressure

Purpose – The purpose of this paper is to investigate the allometric permeation performance in fractal branching channel net driven by capillary pressure and analyze how the geometrical parameters of the branching channel net affect the permeability of the fluid transportation. Design/methodology/approach – An allometric permeation model is proposed based on the fractal theory by considering capillary pressure as the main driven force of fluid permeation. Findings – It is found that the permeability efficiency is a function of fractal dimension, bifurcation number, and number of branching level. Different fluid permeation efficiencies of the channel net can be obtained by changing the three parameters. Originality/value – The allometric permeation model established provides a better understanding of the permeation mechanism in fractal porous media which could further help with the design of bio-mimetic artificial materials.

Does the Mesh Size of the Plankton Net Affect the Result of Statistical Analyses of the Relationship Between the Copepod Community and Water Masses?

We examined if the results of statistical analyses of the relationship between copepod communities and water masses would be affected by the mesh size of the plankton net, by comparing abundance and species composition of copepods in plankton samples collected by plankton nets of different mesh sizes. Our samples were collected during the summer of 2006 in the East China Sea (ECS) by plankton nets with mesh sizes of 100 and 330 μm. The abundance of copepods collected by the 100 μm-mesh plankton net was about two orders of magnitude higher than that collected by the 330 μm-mesh plankton net. The difference in abundance was mainly due to the loss of small-sized copepods in the samples collected by the plankton net with the larger mesh. Species richness was higher in samples collected by the 100 μm-mesh net and Piélou's evenness was generally higher in samples collected by the 330 μm-mesh net. Although species composition of copepods varied in samples collected by plankton nets with different mesh sizes, the statistical analysis of the relationship between the copepod community and the water masses in these samples appeared not to be affected.