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C22H27NO4, triclinic, P1‾ $P\overline{1}$ (no. 2), a = 9.3356(8) Å, b = 10.2842(11) Å, c = 11.5902(12) Å, α = 103.266(4)°, β = 106.189(3)°, γ = 97.779(4)°, V = 1016.20(18) Å3, Z = 2, R gt(F) = 0.0413, wRref (F 2) = 0.0928, T = 293 K.

C19H12ClF2N5O2, monoclinic, P21/n (no. 14), a = 14.405(9) Å, b = 7.579(5) Å, c = 17.610(9) Å, β = 95.856(13)°, V = 1913(2) Å3, Z = 4, Rgt(F) = 0.0464, wRref(F2) = 0.1134, T = 296 K.

C22H28OS, monoclinic, P21/n (no. 14), a = 6.7729(3) Å, b = 17.3973(6) Å, c = 16.6277(6) Å, β = 92.380(3)°, V = 1957.55(13) Å3, Z = 4, R gt(F) = 0.041, wR ref(F 2) = 0.100, T = 90 K.

C23H28O3, monoclinic, P21/n (no. 14), a = 7.3985 (2) Å, b = 16.6978 (5) Å, c = 16.5137 (5) Å, β = 96.699(3)°, V = 2026.15 (10) Å3, Z = 4, Rgt (F) = 0.0428, wRref (F 2) = 0.1116, T = 90 K.

Zero-dimensional tin-based halide perovskites have garnered considerable interest owing to their remarkable optical properties, including broad-band emission, high photoluminescence (PL) efficiency, and low self-absorption. Nevertheless, enhancing the PL efficiency and stability of these materials remains a pressing challenge. In this study, the enhancement of PL and stability in Cs4SnBr6 zero-dimensional perovskite was investigated through Ce3+ doping. Our experimental results demonstrate that the incorporation of Ce3+ can significantly boost the light emission intensity from self-trapped excitons (STEs) in Cs4SnBr6, achieving over a 150% increase compared to the undoped sample, with a PL quantum yield of approximately 64.7%. Moreover, the thermal stability of the corresponding doped sample is markedly enhanced. Through comprehensive analyses, including X-ray diffraction, energy-dispersive spectroscopy, time-resolved PL, and temperature-dependent PL measurements, we elucidate that the enhanced light emission is attributed to the distortion of the [SnBr6]4− octahedral structure induced by Ce3+ doping, which strengthens electron–phonon coupling and elevates the binding energy of STEs. [ABSTRACT FROM AUTHOR]

Traditional railway transportation can no longer meet people's demand for logistics services. This paper takes advantage of high speed to propose a high-speed railway dynamic logistics alliance based on a cloud platform to make up for the lack of transport capacity at both ends of the high-speed railway logistics trunk line. Selecting partners is crucial to the high-speed rail logistics alliance. This paper uses the methods of multiobjective fuzzy optimization and dynamic programming to conduct multistage optimization of high-speed railway dynamic logistics alliance partners. When the market demand changes, in order to optimize the overall interests of the alliance, this paper uses the efficiency profit field method to achieve the dynamic selection of alliance partners or potential partners. The case study shows that the establishment of the high-speed railway dynamic logistics alliance can optimize the interests of the members of the alliance, verify the effectiveness of the method, and provide a reference for the better development of high-speed railway logistics., Author(s): Haixia Wu [1]; Yinghui Wang (corresponding author) [2]; Pei Zhang [2]; Jiang Yu [3]; Yuxuan Du [2] 1. Introduction Railway freight transport is an important part of the modern [...]

C22H28O2, orthorhombic, Pna21 (No. 33), a = 12.0841(9) Å, b = 16.6946(12) Å, c = 9.3837(8) Å, β = 90°, V = 1893.1(3) Å3, Z = 4, R gt(F) = 0.0497, wR ref(F 2) = 0.1057, T = 220 K.

C23H21NO2, monoclinic, C2/c (no. 15), a = 20.163(3) Å, b = 10.1693(16) Å, c = 8.8032(19) Å, β = 95.992(12)°, V = 1795.2(4) Å3, Z = 4, R gt(F) = 0.0624, wR ref(F 2) = 0.1411, T = 150 K.

Encouraging the use of conservation tillage technology is a highly effective approach to safeguarding soil health, improving the environment, and promoting sustainable agricultural development. With the mounting concerns surrounding climate change, developing conservation tillage methods that facilitate sustainable agricultural growth has become an imperative both in China and around the world. While it is widely recognized that adapting to climate change is crucial in agriculture, there is limited research on evaluating the risks, discovering resilience, measuring farmers' perceptions on climate change, and exploring how tillage technology can be adjusted in the context of small-scale farming in China to foster sustainable development. Using research data from smallholder farmers in the Shaanxi and Shanxi provinces of China, this paper aims to explore the impact of climate change perceptions on farmers' adoption of conservation tillage technologies based on an ordered Probit model. We found that farmers tend to refrain from embracing conservation tillage technology due to the presence of unclear and conflicting perceptions regarding climate change. Focus on short-term profitability and inadequate preparation hinder them from prioritizing adaptation. We recognized several measures that could help farmers adapt and thrive within the agricultural sector. Furthermore, we have validated the need for self-system moderation in promoting farmers' adoption of conservation tillage technology. By utilizing such tools and resources, farmers can comprehend the gravity of climate change's impact on agricultural productivity and, more importantly, channel their efforts towards fortifying resilience to extreme weather conditions and long-term climate risks, thus fortifying agricultural sustainability. [ABSTRACT FROM AUTHOR]

C22H27NO4, triclinic, P 1 ‾ (no. 2), a = 9.3356(8) Å, b = 10.2842(11) Å, c = 11.5902(12) Å, α = 103.266(4)°, β = 106.189(3)°, γ = 97.779(4)°, V = 1016.20(18) Å3, Z = 2, Rgt(F) = 0.0413, wRref(F2) = 0.0928, T = 293 K. [ABSTRACT FROM AUTHOR]