Malmberg Alexander (pocketsex36)

The circular economy advocates for biomimicry, ecosystem service valuation, bioeconomy, and renewable energy. Each of these, however, has its own set of conflicts with biodiversity protection. Given the imminent need to protect biodiversity, the authors call for further research on the interaction between biodiversity and the circular economy, and for circular economy advocates to explicitly acknowledge the concept's limitations, thereby revealing the need for intersectional and complementary policies which aim to protect biodiversity. The transport sector is becoming a key sector for China to accomplish its targets for reducing carbon emission intensity (CEI). Identifying the dominant factors driving CEI of the transport sector is important for CEI mitigation. This paper applied dynamic panel quantile regression to explore the effect of driving factors on CEI in the Chinese transport sector at the provincial level during 2000-2016. The empirical findings indicate that economic growth has a positive influence on CEI at low quantiles, whereas this effect is the opposite at high quantiles. Further, the findings show an inverted U-shaped pattern between economic growth and CEI at low quantiles, which validates the Environmental Kuznets Curve hypothesis in low-CEI provinces. Energy intensity positively influences CEI, with the greatest impact occurring at higher quantiles. Among the lowest CEI provinces, private vehicles and cargo turnover appear to contribute to CEI, and a positive impact of urbanization exists, except at the 5th and 30th quantiles. In conclusion, policy implications for effectively promoting the CEI abatement in the transport sector are discussed. This study aimed to identify the individual effect of biochemical composition on odor emission potential of biowaste during aerobic biodegradation. Three kinds of typical mixed wastes, including vegetable-fruit waste, garden waste, and protein-rich waste, were tested for emission quantity of seven common odorous families within 21 days of biodegradation under aerobic conditions. The cumulative odor yields (COY) were as follows protein-rich waste (2408 μg g-1 DM) > vegetable-fruit waste (1169 μg g-1 DM) > garden waste (62 μg g-1 DM), and their cumulative odor intensity were 16,701, 1888, and 212 g-1 DM, respectively. The odor emission of vegetable-fruit waste mainly occurred in the first 3 days, accounting for 91.7% COY, and the predominant contributor to odor intensity (PCOI) were terpenes and sulfur compounds. With regard to garden waste, the odor emission rate was the highest on day 1 (22.4 μg g-1 DM d-1) and then rapidly decreased, and the PCOI were aldehydes. The odor emission rate of protein-rich waste increased gradually in the initial stage and reached the peak value on day 10 (661.9 μg g-1 DM d-1), and its PCOI were sulfur compounds. This study revealed for the first time the relationship between the odor emission potential of biowaste and its characteristic of biochemical composition, then proposed potential application for odor pollution control during aerobic composting. Infants engage in social interactions that include multiple partners from very early in development. A growing body of research shows that infants visually predict the outcomes of an individual's intentional actions, such as a person reaching towards an object (e.g., Krogh-Jespersen & Woodward, 2014), and even show sophistication in their predictions regarding failed actions (e.g., Brandone, Horwitz, Aslin, & Wellman, 2014). Less is known about infants' understanding of actions involving more than one individual (e.g., collaborative actions), which require representing each partners' actions in light of the shared goal. Using eye-tracking, Study 1 examined whether 14-month-old infants visually predict the actions of an individual based on her