In this study, TiO2/Ni photo-anode and multi-walled carbon nano-tubes (MWCNTs) air cathode were prepared by the dip-coating method, and the photoelectrocatalytic degradation of real pharmaceutical wastewater was investigated in the self-made reactor. The combination of the TiO2/Ni electrode and MWCNTs air cathode was adopted to treat the pharmaceutical wastewater by the process of photoelectrocatalysis. Various operational parameters to achieve optimum efficiency of this photoelectrocatalytic degradation system are presented, such as applied bias voltage, NaCl concentration, pH and different degradation methods. Under the optimal conditions, the removal of chemical oxygen demand (COD) and colour are 93.5% and 78.5% respectively. The possible roles of the anode-cathode on the reactions and the probable mechanisms of effect were also discussed. The photoelectrocatalytic technology can be used for the long-term treatment of real pharmaceutical wastewater.

This paper applies the notion of linguistic motif to investigating the linear arrangement of dependency distance (DD) in Indo-European and its implicational meanings in language typology. A series of DD-motifs operating in a decreasing, increasing or equal magnitude are introduced. We first describe the frequency distribution of DD-motifs, and observe a preference for decreasing DD-motifs in human languages. Moreover, we further investigate the role of DDmotifs in controlling the syntactic complexity. The results show that serializing DD values in the same order of magnitude can more or less restrict the structural complexity, and it may be a useful method to realize the DD minimization in natural languages. Finally, we explore the value of DD-motifs in language typology. Our classification experiments reveal that adding the harmonic property and DD-motifs into dependency direction can improve the classification results.

A prominent principle in explaining a range of word-order regularities is dependency locality, which minimizes the linear distances (dependency lengths) between a head and its dependents. However, it remains unclear to what extent language users in fact observe locality when producing sentences under diverse conditions of cross-categorical harmony (such as the placement of verbal and nominal heads on the same vs. different sides of their dependents), dependency direction (head-final vs. head-initial), and parallel vs. hierarchical dependency structures (e.g. multiple adjectives dependent on the same head vs. nested genitive dependents). Using forty-five dependency-annotated corpora of diverse languages, we find that after controlling for harmony and conditioning on dependency types, dependency-length minimization (DLM) is inversely correlated with the overall presence of head-final dependencies. This anti-DLM effect in sentences with more head-final dependencies is specifically associated with an accumulation of dependents in parallel structures and with disharmonic orders in hierarchical structures. We propose a detailed interpretation of these results and tentatively suggest a role for a probabilistic principle that favors embedding head-initial (e.g. VO) structures inside equally head-initial and thereby length-minimizing structures (e.g. relative clauses after the head noun), while head-final (OV) structures have a less pronounced preference for harmony and DLM. This is in line with earlier findings in research on the Greenbergian word-order universals and with a probabilistic version of what has been suggested more recently as the final-over-final condition.

A prominent principle in explaining a range of word order regularities is dependency locality, i.e. a principle that minimizes the linear distances (dependency lengths) between the head and its dependents. However, it remains unclear to what extent language users in fact observe locality when producing sentences under diverse conditions of cross-categorical harmony (such as the placement of verbal and nominal heads on the same vs different sides of their dependents), dependency direction (head-final vs head-initial) and parallel vs. hierarchical dependency structures (e.g. multiple adjectives dependent on the same head vs nested genitive dependents). Using 45 dependency-annotated corpora of diverse languages, we find that after controlling for harmony and conditioning on dependency types, dependency length minimization (DLM) is inversely correlated with the overall presence of head-final dependencies. This anti-DLM effect in sentences with more head-final dependencies is specifically associated with an accumulation of dependents in parallel structures and with disharmonic orders in hierarchical structures. We propose a detailed interpretation of these results and tentatively suggest a role for a probabilistic principle that favors embedding head-initial (e.g. VO) structures inside equally head-initial and thereby length-minimizing structures (e.g. relative clauses after the head noun) while head-final (OV) structures have a less pronounced preference for harmony and DLM. This is in line with earlier findings in research on the Greenbergian word order universals and with a probabilistic version of what has been suggested as the Final-Over-Final Condition more recently.

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