To explore the influence of ligand backbones on the structures of coordination architectures, three structurally related rodlike ligands bearing different backbones, 1,4-bis(benzoimidazol-1-yl)-phenyl (L 1 ), 1,4-bis(imidazol-1-yl)-benzene (L 2 ), and 4,4′-bis(imidazol-1-yl)-biphenyl (L 3 ), have been employed to react with Co(ClO4)2·6H2O, and three three-dimensional interpenetrating coordination polymers, {[Co(L 1 ) 2 ](ClO 4 ) 2 }∞ (1), {[Co(L 2 ) 3 ](ClO 4 ) 2 (CHCl 3 ) 2 }∞ (2), and {[Co(L 3 ) 3 ](ClO 4 ) 2 }∞ (3), have been obtained under similar conditions. Compound 1 forms a 3-fold interpenetrating network with diamondoid topology based on a tetrahedrally coordinated CoII node, whereas complex 2 takes a double interpenetrating network with α-polonium-type topology and compound 3 exhibits a 3-fold interpenetrating network with β-Sn topology. Compared with the tetrahedrally coordinated CoII node in compound 1, the CoII nodes in compounds 2 and 3 are both octahedrally coordinated. To the best of our knowledge, the 3-fold interpenetrating network of compound 3 is the first example of β-Sn 485463 topology in coordination polymers. Our results reveal that ligand backbones (including terminal groups and spacer conformations) may be the major influence on the structure topology of coordination architectures, and significantly, the coordination mode and spacer length play important role in controlling the degree of interpenetration of coordination polymers.

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Data annotation is a time-consuming and labor-intensive process for many NLP tasks. Although there exist various methods to produce pseudo data labels, they are often taskspecific and require a decent amount of labeled data to start with. Recently, the immense language model GPT-3 with 175 billion parameters has achieved tremendous improvement across many few-shot learning tasks. In this paper, we explore ways to leverage GPT-3 as a low-cost data labeler to train other models. We find that, to make the downstream model achieve the same performance on a variety of NLU and NLG tasks, it costs 50% to 96% less to use labels from GPT-3 than using labels from humans. Furthermore, we propose a novel framework of combining pseudo labels from GPT-3 with human labels, which leads to even better performance with limited labeling budget. These results present a cost-effective data labeling methodology that is generalizable to many practical applications.

International civil servants (ICS) are largely excluded from the analysis of International Organizations (IOs) because states are assumed to be the determining force in shaping their behaviour. Even principal-agent and constructivist analyses often treat an IO ' s staff as a unit and are concerned primarily with states ' capacities to control IOs. Examining the opportunities of ICS, rather than the choices of states, provides a better means of understanding the capacities of ICS to contribute to the operation of IOs, and especially when they participate in multilateral negotiations. We suggest that structure, competence, legitimacy and culture provide a framework for analysing ICS variable capacity. We use the Secretariat of the WTO, known as a ' member-driven organization ' , to illustrate how ICS can play a critical role in achieving the IO ' s objectives. A word on our title. It comes from Esse , non videri in the original, as quoted by a director at the WTO in an interview in

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The eutrophication problem of drinking water source is directly related to the security of urban water supplication, and phosphorus has been proved as an important element to the water quality of the most northern hemisphere lakes and reservoirs. In the paper, 15-year monitoring records (1990∼2004) of Yuqiao Reservoir were used to model the changing trend of the total phosphorus (TP), analyze the uncertainty of nutrient parameters, and estimate the threshold of eutrophication management at a specific water quality goal by the application of Bayesian method through chemical material balance (CMB) model. The results revealed that Yuqiao Reservoir was a P-controlled water ecosystem, and the inner concentration of TP in the reservoir was significantly correlated with TP loading concentration, hydraulic retention coefficient, and bottom water dissolved oxygen concentration. In the case, the goal of water quality for TP in the reservoir was set to be 0.05 mg L(-1) (the third level of national surface water standard for reservoirs according to GB3838-2002), management measures could be taken to improve water quality in reservoir through controlling the highest inflow phosphorus concentration (0.15∼0.21 mg L(-1)) and the lowest DO concentration (3.76∼5.59 mg L(-1)) to the threshold. Inverse method was applied to evaluate the joint manage measures, and the results revealed that it was a valuable measure to avoid eutrophication by controlling lowest dissolved oxygen concentration and adjusting the inflow and outflow of reservoir.