journal article

China has been struggling with waste classification for decades, even after the mandatory implementation of relevant policy in 2017. However, the causes of the failing performance of waste classification in developing countries attract little scholarly attention. A recent literature review also identified a failure to classify waste in developing countries, noting that its causes have attracted little scholarly interest. In this paper, we would like to examine the current situation and issues of policies for classifying household waste in China's urban sector. In this paper, we conducted a questionnaire survey of residents in Changsha City, Hunan Province, examined their awareness of waste classification, classifying behavior, and their awareness of paying for waste reduction, elucidated the factors that affect them, and estimated the amount of willing to pay (WTP) for waste reduction. In this paper, endogenous factors are more significant influencing behaviors than exogenous factors.

Context: Ethanolamine plasmalogens (EPls) and choline plasmalogens (CPls) are classes of ethanolamine ether phospholipids (ePE) or choline ether phospholipids (ePC), respectively. EPls play crucial roles in maternal and breastfed infant bodies and stimulate gonadotropin secretion by gonadotrophs. Aims: To estimate changes in and importance of plasma concentrations of EPls and CPls, utilizing newly developed enzymatic fluorometric assays for ePE and ePC in postpartum Holstein cows. Methods: Plasma samples were collected 3 weeks before expected parturition until approximately 8 weeks after parturition (16 primiparous and 38 multiparous cows) for analysis. Key results: Plasma concentrations of ePE and ePC, most of which are plasmalogens, declined before and increased after parturition and stabilised near the day of the first postpartum ovulation (1stOV). From weeks 2 to 3 after parturition, third-parity cows exhibited ePE concentrations that were higher than those of other parity cows. The days from parturition to 1stOV correlated with days from parturition to conception. On the day of 1stOV, milk yield correlated with plasma concentration of both ePE and ePC, while ePC concentration correlated negatively with milk fat percentage. At the early luteal phase after 1stOV, plasma ePE concentration correlated with plasma anti-Müllerian hormone concentration (r = 0.39, P < 0.01), and plasma ePC concentration correlated with plasma follicle-stimulating hormone concentration (r = 0.43, P < 0.01). Conclusion: The concentrations of ePE and ePC changed dramatically around parturition and 1stOV, and then the concentrations correlated with the important parameters. Implications: The blood plasmalogen may play important roles in postpartum dairy cows.

本稿では、まず人工知能の根幹に係る一般パターン認識の問題を明らかにするとともに、その解決に有用な統計的パターン認識とそれを発展させた離散Bayes識別則を概説する。次に離散Bayes識別則の個別化医療への応用としての診断・予測問題と創薬における治験問題に言及する。