Spatial-temporal Evolution Characteristics and Decoupling Analysis of Influencing Factors of China’s Aviation Carbon Emissions

The aviation industry has become one of the top ten greenhouse gas emission industries in the world. China’s aviation carbon emissions continue to increase, but the analysis of its influencing factors at the provincial level is still incomplete. This paper firstly uses Stochastic Impacts by Regression on Population, Affluence and Technology model(STIRPAT) model to analyze the time series evolution of China’s aviation carbon emissions from 2000 to 2019. Secondly, it uses the Logarithmic Mean Divisia Index(LDMI) model to analyze the influencing characteristics and degree of four factors on China’s aviation carbon emissions, which are air transportation revenue, aviation route structure, air transportation intensity and aviation energy intensity. Thirdly, it determines the various factors’ influencing direction and evolution trend of 31 provinces’ aviation carbon emissions in China(not including Hong Kong, Macao, Taiwan of China due to incomplete data). Finally, it derives the decoupling effort model and analyzes the decoupling relationship and decoupling effort degree between air carbon emissions and air transportation revenue in different provinces. The study found that from 2000 to2019, China’s total aviation carbon emissions continued to grow, while the growth rate of aviation carbon emissions showed a fluctuating downward trend. Air transportation revenue and aviation route structure promote the growth of total aviation carbon emissions, and air transportation intensity and aviation energy intensity have a restraining effect on the growth of total aviation carbon emissions. The scope of negative driving effect of air transportation revenue and air transportation intensity on total aviation carbon emissions in various provinces has increased. While the scope of positive driving influence of aviation route structure on total aviation carbon emissions of various provinces has increased, aviation energy intensity mainly has negative driving influence on total aviation carbon emissions of each province. Overall, the emission reduction trend in the areas to the west and north of the Qinling-Huaihe River Line is obvious. The decoupling mode between air carbon emissions and air transportation revenue in 31 provinces is mainly expansion negative decoupling.The air transportation intensity effect shows strong decoupling efforts in most provinces, the decoupling effort of aviation route structure effect and aviation energy intensity effect is not prominent.

Higher-Order WHEP Solutions of Quadratic Nonlinear Stochastic Oscillatory Equation

This paper introduces higher-order solutions of the quadratic nonlinear stochastic oscillatory equation. Solutions with different orders and different number of corrections are obtained with the WHEP technique which uses the WienerHermite expansion and perturbation technique. The equivalent deterministic equations are derived for each order and correction. The solution ensemble average and variance are estimated and compared for different orders, different number of corrections and different strengths of the nonlinearity. The solutions are simulated using symbolic computation software such as Mathematica. The comparisons between different orders and different number of corrections show the importance of higher-order and higher corrected WHEP solutions for the nonlinear stochastic differential equations.

Effects of Almond Milk on Body Measurements and Blood Pressure

In recent years, the demand for almond milk and its sales has increased owing to consumers’ perceptions about its health benefits. Hence, we sought to measure the effect of almond milk on body measurements such as body weight, body mass index and waist and hip circumference, in addition to diastolic and systolic blood pressures. Thirty volunteers of both sexes participated in the study, with a mean age of 23.27 ± 6.20 years. The study was conducted over 4 weeks, and the results showed that daily substitution of one serving of dairy product with one cup (240 ML) of almond milk significantly decreased body weight, body mass index and waist and hip circumference, However, no effects were observed on blood pressures.

A Sustainable Agriculture Production Model of Pampanga State Agricultural University in Central Luzon, Philippines

Alternative Low-Input Agriculture Systems （ALIAS） center advocates organic and sustainable food production system through farm/field demonstration and piloting. The center undertakes activities, including research and development, extension and training, technology dissemination, linkaging and promotional activities. The study established a campus-based demonstration technology showcasing ALIAS to facilitate easy technology diffusion. The objectives of this research were to promote： （1） bio-fertilizers and plant-based pesticides in managing insect pests and diseases of organic vegetables and fruit crops; （2） lotus-tilapia integration as a new modality of farming system in frequently flooded areas; （3） honeybee as pollinators to enhance productivity of organic vegetable and fruit crops; （4） Adlai as intercrop to organic vegetable and fruit crops in support to rice sufficiency; （5） native chicken-coffee integration. The results show that： （1） microbial inoculants and plant-based pesticides are effective in controlling diseases and insect pest, respectively; （2） lotus integration in tilapia production system have no negative effect on the tilapia yield; （3） honeybees as pollinators enhances fruit setting by 42%-68% in different crops; （4） Adlai is a viable intercrop for organic vegetable and fruit crops; （5） native chicken integration was found to be beneficial in terms of soil fertility, insect pest control, natural weeding practices and cultivation in the coffee plantation.