Purpose-Green building specifications, areas some of the most important strategies for energy saving, and describe the best practice in the field of sustainable construction. They have great effects on resource saving and environmental protection. The demand of sustainable construction has spurred the emerging and development of green building specifications. However, there are many factors that affect the adoption of green building specifications in China. Therefore, the purpose of this paper is to investigate the factors that affect exert influence on the adoption of green building specifications in China. Design/methodology/approach-Based on the comprehensive literature review, a questionnaire survey has been conducted to with major stakeholders in the construction area to identify issues concerning the adoption of green building specifications in China. 18 variables that affect the adoption of green building specifications were summarizedspecifications in were summarized. Then, in this study, uses factor analysis and the mean score method are adopted to analyze 18 variables which were got obtained from the questionnaire. Findings-By Using using the rank analysis and factor analysis, the variables have been ranked, analyzed and categorized into five independent factors that are. They are summarized as (1) green technology and techniques, (2) awareness and attitude, (3) policies and regulations, (4) marketmarkets, and (5) economics. Besides, in This this study, provides a variable reference is provided for policy makers to put forward focused policies and incentives for green building specifications implementation and industry practitioners to better understand green understand of green building specifications adoption in China. Originality/value-This paper makes a contribution to the understanding of the factors that affect the adoption of green building specifications in China. The results can also contribute to better adoption of green building specifications in other developing countries.

Chiral α-aminophosphonates were synthesized using (R) or (S)-1-phenylethylamine in the presence of BF 3 •Et 2 O under microwave irradiation in moderate to good yields. The new compounds were identified by 1 H NMR, 19 F NMR, IR and elemental analysis. Their antifungal activities were evaluated and some compounds were found to exhibit excellent antifungal activities. To the best of our knowledge, this is the first report on antifungal activity of chiral α-aminophosphonates containing fluorine moiety.

Pesticides are widely used agrochemicals for crop protection. The need for novel pesticides becomes urgent as a result of the emergence of resistance and environmental toxicity. Pesticide informatics has been applied in different phase processes of pesticide target identification, active ingredient design, and impact evaluation. However, these valuable resources are scattered over the literature and web, limiting their availability. Here, we summarize and connect research on pesticide informatics resources. A pesticide informatics platform (PIP) was constructed to share these tools. We finally discuss the future direction of pesticide informatics, including pesticide contamination. We expect to share the pesticide informatics approaches and stimulate further research.

Implementing green projects is critical to achieve the green and sustainable development goal. This paper investigates a green project planning with the realistic consideration of multiple objectives including minimizing the total cost and maximizing the total emission reduction. The realistic multi-objective problem in engineering optimization aims to find a best solution for real-world use instead of finding a set of Pareto-optimal solutions. To handle this problem, we develop a weight sets-based multi-objective evolutionary optimization approach to find the best solution for realistic use. The approach integrates a single-objective evolutionary optimization process, novel solution encoding and decoding heuristics, and a non-dominated sort technique. Based on real-world data from a seaport in China, experiments were conducted to validate the proposed optimization approach. Results show that the proposed approach can effectively solve the real-world multi-objective green project planning problem because the solution found by our approach is one of the Pareto optimal solutions generated by the NSGA-II.

In maize, opaque2 ( o2 ) and opaque 16 ( o16 ) alleles can increase lysine content, while the waxy ( wx ) gene can enhance the amylopectin content of grains. In our study, o2 and o16 alleles were backcrossed into waxy maize line ( wxwx ). The o2o2o16o16wxwx lines had amylopectin contents similar to those of waxy line. Their nutritional value was better than waxy line, but the mechanism by which the o2 and o16 alleles increased the lysine content of waxy maize remained unclear. The o2o2o16o16wxwx lines and their parents on kernels (18th day after pollination) were subjected to RNA sequencing (RNA-Seq). The RNA-Seq analysis revealed 272 differentially expressed genes (DEGs). Functional analyses revealed that these DEGs were mainly related to biomass metabolism. Among them, in o2o2o16o16wxwx lines, 15 genes encoding α-zein were down-regulated, which resulted in the reduction of α-zein synthesis and increased lysine content; lkr/sdh1 and Zm00001d020984.1 genes involved in the lysine degradation pathway were down-regulated, thereby inhibited lysine degradation; sh2 , bt2 and ae1 genes involved in starch metabolism were upregulated, leaded to wrinkling kernel and farinaceous endosperm. Our transcriptional-level identification of key genes responsible for increased grain lysine content and farinaceous endosperm formation following introgression of o2 and o16 alleles should promote molecular breeding for maize quality.