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Confucianism provides a specific view on the world held by many people living in several Asian societies. It offers views on humans and nature that generally differ from other traditional or Western modern views. The paper presents a systematic analysis of the literature in education with a focus on science education about the connection of Confucianism with education for sustainability. It suggests a framework for how education for sustainability can be operated in the foreground of Confucian societies taking concepts from the international literature into consideration. This critical review provides justification for a stronger reflection about how to include ideas from Confucianism into education for sustainability in the teaching and learning of science. It suggests that Confucian thinking offers a rich and authentic context for science learning in Confucian societies and and also provides a chance to reflect on views of humans, nature, and science in science education in other societies, potentially contributing to the development of more balanced and holistic worldviews.

Incorporating cultural aspects into science education has recently been stressed in many non-Western societies. However, Chinese traditional cultures are rarely discussed in Chinese science classrooms. Hence, a teaching intervention integrating Confucian ecological ethics and education for sustainable development in secondary chemistry classrooms was designed, implemented online due to the COVID-19 pandemic, and analyzed. It focuses on discussing aspects of Confucian ecological ethics in the context of a lesson plan on the socio-scientific issue of plastic use. Sixty-five 10th-grade students from an urban key public high school in Beijing voluntarily attended this research. Based on the analysis of their feedback it is suggested that Confucian ecological ethics can improve students’ environmental awareness. Most students acknowledged that Confucian ecological ethics could promote Chinese sustainability-oriented chemistry education with a value-oriented approach.

Objective To explore the application effect of BOPPPS combined with dynamic scenarios simulation in ICU nursing teaching. Methods Totally 57 nursing students who practiced their internship in ICU ward of a grade-A hospital from July, 2021 to February, 2022 were selected as the research objects. In the clinical teaching of ICU, 27 students in the control group adopted conventional teaching method, and 30 students in the experimental group adopted BOPPPS combined with dynamic scenarios simulation teaching method. The two groups were compared in terms of assessment results, independent learning ability and critical thinking level. Results The examination results of the test group were better than that of the control group, with a significant difference(P＜0. 05). The experimental group had higher evaluation on the teaching effect of BOPPPS combined with dynamic scenario simulation. After teaching, the planning and implementation, self-management and total score of independent learning ability in the experimental group were significantly higher than those of the control group, with statistical significance (P＜0. 05). There was statistically significant difference in the total score of critical thinking in experimental group before and after teaching (P＜0. 05). Conclusion BOPPPS combined with dynamic scenarios simulation can improve students' independent learning ability, cultivate students' critical thinking, and achieve good teaching effect. (目的 探讨BOPPPS结合动态情景模拟在ICU护理教学中的应用效果。方法 选取2021年7月—2022年2月在某三甲医院ICU病房实习的护理学生57名作为研究对象。在ICU的临床教学工作中, 对照组27名学生采用常规的教学方法, 试验组30名学生采用BOPPPS结合动态情景模拟教学法。比较两组学生考核成绩、自主学习能力、评判性思维水平。结果 试验组出科考核成绩优于对照组, 差异有统计学意义(P＜0. 05)。试验组学生对BOPPPS结合动态情景模拟教学效果评价较高。教学后试验组的计划和实施、自我管理及自主学习能力总分高于对照组, 差异有统计学意义(P＜0. 05); 试验组学生教学前和教学后评判性思维总分比较, 差异有统计学意义(P＜0. 05)。结论 BOPPPS结合动态情景模拟可以提高学生自主学习能力, 培养学生的评判性思维, 教学效果好。)

Due to the influence of temperature changes or temperature gradients in the construction process of mass concrete, temperature cracks will occur in the concrete. In order to achieve a reasonable prediction of the temperature change of the mass concrete during the construction process and accurately obtain the temperature change trend, this paper attempts to construct a CART prediction model based on the big data processing technology based on the characteristics of the temperature change of the mass concrete. This paper introduces in detail how to use data processing methods such as outlier identification, missing value filling and random error elimination to improve data quality, as well as the method for constructing the CART prediction model, and combines engineering examples to demonstrate the feasibility of the model method. The results show that the model and method can better predict the temperature change of mass concrete. It has high prediction accuracy and can provide necessary guidance for practical engineering.

Harnessing solar energy by photocatalytically converting oxygen and water into high-value-added H2O2 is a promising way of alleviating both environmental and energy issues. It is worth noting that suppressing detrimental side reactions, such as the generation of •O2−, is a critical approach to enhancing H2O2 production. Herein, a 2-fold interpenetrating 3D uranium-organic framework (YTU-W-1) was developed and introduced for photocatalytic H2O2 production. The material demonstrates a different photocatalytic mechanism when employing uranyl as an initiator, as compared with the conventional semiconductor photocatalytic pathway involving photo-generated charge carriers. Benefiting from the strong hydrogen abstraction effect of the U≡O• and the direct one-step oxygen reduction pathway, YTU-W-1 exhibits enhanced photocatalytic performance for H2O2 production with yield efficiency of 221 µmol h−1 g−1. Furthermore, YTU-W-1 displays a high H2O2 selectivity of 68%, confirmed by rotating ring-disk electrode (RRDE) measurement. DFT calculations were used to elucidate the critical role of uranyl in the photocatalytic oxygen reduction reaction for H2O2 production. This research introduces an innovative approach to photo driven H2O2 production, underscoring the potential for heterogeneous catalysts to engage in photocatalytic reactions independently of photo-generated charge carriers. [ABSTRACT FROM AUTHOR]

Driven by Chinese double carbon policy, logistics companies should ensure both environmental preservation and fluency in the last-mile delivery. With the objective of minimizing the total distribution distance, a model for location of mobile recharge stations and the route planning is formulated, which considers some constraints such as load, power and service capacity of recharge stations. Subsequently, a two-stage algorithm is proposed. The genetic algorithm is used to generate the initial routing plans in the first stage, and the RSI algorithm is designed to locate recharge stations and adjust routing plans in the second stage. Tested by the CVRP benchmark cases, the results show that the average increasing rate of travel distances caused by visiting recharge station is less than 5%. Compared with PSO and SA, the results between the proposed algorithm and the other two algorithms are respectively -4.04% and -3.65%. Also, the adaptability of the model is verified through the sensitivity analysis with the main model parameters such as power consumption rate. Therefore, the mode is feasible if logistics companies can afford to use exclusive mobile recharge stations and accept the increase of travel distances which is less than 8%. [ABSTRACT FROM AUTHOR]

The development of adsorbent materials for effective capture of radioactive iodomethane (CH3I) from the off-gas of used nuclear fuel reprocessing, remains a significant and challenging line of research because currently state-of-art adsorbents still suffer from low binding affinity with CH3I. Here, we proposed a brand-new adsorption topological structure by developing a 2D interdigitated layered framework, named SCU-20, featuring slide-like channel with multiple active sites for CH3I capture. The responsive rotating-adaptive aperture of SCU-20 enables the optimal utilization of all active sites within the pore for highly selective recognition and capture of CH3I. A record-breaking CH3I uptake capacity of 1.84 g/g was achieved under static sorption conditions with saturated CH3I vapor. Both experimental and theoretical findings demonstrated that the exceptional uptake of SCU-20 towards CH3I can be attributed to the confined physical electrostatic adsorption of F sites, coupled with the chemical nitrogen methylation reaction with uncoordinated N atoms of pyrazine. Moreover, dynamic CH3I uptake capacity potentially allows for the capture of CH3I in simulated real-world off gas reprocessing conditions. This study highlights the potential of SCU-20 as a promising candidate for efficient capture of iodine species and contributes to the development of effective solutions for radioactive iodine remediation. [ABSTRACT FROM AUTHOR]

With the increasing performance demand from the display market, it has become ever more important to realize wide color gamut requirement. In this paper, we fabricated a series of pTSF green devices, the optimal devices which exhibit excellent performance in the range of CIEx 0.17‐0.22, with the central color point meeting Adobe's green light requirements, showing the advantages in wide color gamut. Additionally, they have comparable performance to existing phosphporescent devices under DCI‐P3 light color, showing the advantages of High Performance and High Color Purity [ABSTRACT FROM AUTHOR]

For exploring novel natural product-derived herbicides, 16 novel α-campholenic aldehyde-based 4-methyl-1,2,4-triazole-thioether compounds were designed, synthesized, and characterized by FT-IR, 1H NMR, 13C NMR, ESI-MS and elemental analysis. The preliminary bioassay showed that, at 100 µg/mL, most of the target compounds displayed significant inhibition activity against root-growth of rape(Brassica campestris L.), with inhibition rates of 85.0%～98.2%(A-class activity level), much better than that of the positive control flumioxazin. In addition, an effective and reasonable 3D-QSAR model was established by CoMFA method in SYBYL-X 2.1.1 software. It was found that, the steric field was the major factor towards the herbicidal activity of the target compounds against B. campestris L., and the introduction of bulky groups into m- and p-position of the benzene ring was favourable to increase the herbicidal activity. This kind of title compounds deserved further study as potential leading compounds for the discovery and development of novel herbicidal agents. [ABSTRACT FROM AUTHOR]