Cultural Trends of Audience Online Interaction with Vocal Talent Shows: A Comparative Study between China and the US

This study examined cultural reflections online of audience comments on social network sites regarding vocal talent shows in China and the United States. The study applied dimensions of cross culture to investigate audience comments on the official social networking sites of The Voice of China and The Voice. Findings reflect Hofstede’s dimensions as applied to social media and illustrate how individuals alter their “local” cultural norms in the new media environment. The study specifically enhances the exploration of cultural manifestations in cyberspace, which fewer cross-cultural studies have researched.     

The vegetative city

The vegetative stratum is a layer of existence that is inherent not only in plants. Here, I propose to look at how vegetative life – or, the vegetative mode of existence – affects cities. The vegetative mode of existence is not focused on activities, routines, achievements. Here appears a city that is not industrial or industrious. When the industrious city retreats, or falls apart, the vegetative stratum becomes visible. The vegetative city is a city without any central nervous system. I suggest the interpretation of the vegetative city as a hopeful manifestation of the urban that only takes place when the time is ripe.     

Maximal heart rate declines linearly with age independent of cardiorespiratory fitness levels

There have been many conflicting observations between the linear or curvilinear decline in maximal heart rate (HR_max) with age. The aim of this study was to determine if linear or curvilinear equations would better describe the decline in HR_max with age in individuals of differing cardiorespiratory fitness (CRF) levels. Treadmill cardiopulmonary exercise test (CPX) results from participants (1510 men and 1134 women; 18–76 years) free of overt cardiovascular disease were retrospectively examined using cross-sectional and longitudinal study designs. Participants completing ≥2 CPX with ≥1 year between test dates were included in the longitudinal analysis (325 men and 150 women). Linear and quadratic regressions were applied to age and HR_max for the whole cohort and respective CRF groups (high, moderate, and low, relative to age and gender normative values). To test for differences among linear, quadratic, and polynomial equations, the change in R² (cross-sectional analysis) and Bayesian information criterion (BIC) (longitudinal analysis) from the linear to the more complex models were calculated. The quadratic or polynomial regression in the cross-sectional analysis, marginally improved the variance in HR_max explained by age compared to the linear regression for the whole cohort (0.2%), moderate fit group (0.3%), and low fit group (0.8%). With no improvements in the high fit group. BIC did not improve for any CRF category in the longitudinal analysis. In conclusion, the minimal differences among linear, quadratic, and polynomial equations in the respective CRF groups, emphasizes the use of linear prediction equations to estimate HR_max.