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The monograph investigates whether China is mindful of exporting its political ideas and whether it considers its governance model to be the pillar of its soft power portfolio. Through framing analysis of media coverage and in-depth interviews with Australian public diplomacy experts, the monograph presents how Australia, a western country with close economic ties with China, interprets China's intended narrative regarding its governance model and development.

The recent research on citizen participation in the provision of public services represented by coproduction has become a hot topic in public management. Coproduction studies propose that citizens can directly or indirectly participate in the process of public services to help improve the quality and legitimacy of public services. Very little, however, has been written in the existing coproduction literature on the outcome of public services provision. Based on the "One-Hundred Villages" Survey in 2020, this article analyzes and evaluates the impact of coproduction on the perceived outcome of public service in rural China. A series of statistical analysis results show that both co-planning and co-delivery have significant and positive impacts on how one views the outcome of rural public service provision. This research provides new evidence in rural China that citizen participation plays a crucial role in the state-led "New Socialist Countryside" campaign.

This dissertation researchdesigned, implemented, and evaluated a Web-based Dynamic Voting Toolfor small group decision-making in a collaborative environment. In this dissertation, theliterature on voting tools in current GDSS research is presented. Variousvoting theories and methods are analyzed, and the advantages and weaknessesare compared, so as to gain a better understanding of how to apply thesedifferent voting methods to diverse decision-making situations. A briefoverview of scaling theories is also given, with an emphasis on Thurstone'sLaw. The basic features of someweb-based voting tool implementations are reviewed along with a discussionof the pros and cons of Intemet voting. A discussion of Human DynamicVoting (HDV) follows; HDV allows multiple voting and continuous feedbackin a group process. The Dynamic Voting Tool designed and developed bythe author (i.e., Zheng Li) integrated multiple scaling and voting methods,and supported dynamic voting. Its features, user feedback, and futureimprovements are further discussed. A controlled experiment wasconducted to evaluate the effects of the Dynamic Voting Tool (alongwith the List Gathering Tool by Yuanqiong Wang) interacting with smallgroup process. The design and procedures of the experiment, and thedata analysis results extracted from 187 student subjects from New JerseyInstitute of Technology are reported. While the System Survey yieldedvery positive feedback on the voting tool, the hypotheses tested bythe Post-Questionnaire and expert judgments showed no major positivesignificant results. This was probably due to the complexity of thetask and procedures, lack of motivation of the subjects, bad timing,insufficient training, and uneven distribution of subjects, etc. Several field studies usingthe Social Decision Support System (SDSS) Toolkit (List Gathering Tool+ Dynamic Voting Tool) are presented. The SDSS system worked well whenthe subjects were motivated. The field studies show that the toolkitcan be used in course evaluations, or other practical ...

Ressources linguistiques et gestion relationnelle dans la Communauté chinoise de Paris
ZHENG Li-Hua
Un des traits majeurs des Chinois de Paris, c'est leur riche répertoire linguistique, lié étroitement à leur histoire migratoire. En fonction des statuts des langues, de la situation interlocutoire et de l'usage habituel, chacune des langues qu'ils possèdent est porteuse d'une série de connotions en ce qui concerne les droits et les obligations entre les partenaires. Ainsi, les ressources linguistiques dont disposent les locuteurs fonctionnent comme un moyen efficace pour la gestion des relations interpersonnelles dans l'interaction sociale. Celle-ci peut être conçue comme une négociation des rapports de force où les acteurs sociaux négocient continuellement les va et vient pour établir ou rétablir l'équilibre de la balance relationnelle. Certains liens peuvent s'établir entre la coexistence des variétés linguistiques, leurs fonctions sociales et la situation socio-économique des locuteurs chinois de Paris.

Organophosphorus compounds (OPCs), including highly toxic nerve agents and pesticides, have been used widely in agricultural and military applications. However, they have aroused widespread concern because they persistently pollute the environment and threaten human life. Organophosphorus acid anhydrolase (OPAA) is a promising enzyme that can detoxify OPCs. Here, a novel OPAA (OPAA114644) was isolated and characterized from deep-sea sediment (−3104 m). It exhibited excellent alkaline stability, and the loss of activity was less than 20% in the pH range 5.0–9.0, even after being incubated for 30 d at 4 °C. It also exhibited high salt tolerance, and its enzymatic activity increased by approximately fourfold in the presence of 20% NaCl (w/v). Additionally, OPAA114644 exhibited high degradation efficiency for soman, dichlorvos, paraoxon, coumaphos, and chlorpyrifos with a concentration of up to 250 mg/L, with the degradation rate being 100%, 100%, 100%, 80% and 51%, respectively, in 20 min under optimal conditions. Notably, OPAA114644 dissolved in different solutions, such as 20% NaCl, 1 mM SDS, 0.05% soap, 10% methanol, and tap water, could efficiently decontaminate the residual paraoxon on the surfaces of glasses, cotton tissues, and apples. These results indicate that OPAA114644 has excellent potential for the biodegradation and bioremediation of OPCs pollution and represents a real application of OPAA in the decontamination and detoxification of foods and clothes, and in the remediation of sites such as floors. Deep-sea sediment might also be an abundant resource for various functional microorganisms and enzymes.

In China, achieving rural drinking water safety&mdash ; meaning access to a safe, affordable, sufficient, and sustainable drinking water supply&mdash ; remains a key challenge for government agencies and researchers. Using cross-sectional data at the provincial level, in this paper we examine the impacts of socioeconomic development on drinking water safety in rural China. Using a theoretical framework called Pressure-State-Response (PSR), existing data were organized into state and pressure indicators. Canonical Correlation Analysis was then used to analyze provincial-level relationships between the indicators. Significant drinking-water-safety-related differences were found across provinces. Our analyses suggest that, overall, China&rsquo ; s recent and rapid socioeconomic development yielded substantial benefits for China&rsquo ; s rural drinking water safety. However, this same development also negatively impacted rural drinking water safety via increased groundwater over-abstraction, reductions in water supply, and environmental contamination. The paper closes with a discussion of implications and options for improving drinking water policy, management, and regulation in rural China.

In this paper, we introduce the causal forests method (Athey et al., 2019) and illustrate how to apply it in social sciences to addressing treatment effect heterogeneity. Compared with existing parametric methods such as the multiplicative interaction model and traditional semi-/non-parametric estimation, causal forests are more flexible for complex data generating processes. Specifically, causal forests allow for nonparametric estimation and inference on heterogeneous treatment effects in the presence of many moderators. To reveal its usefulness, we revisit existing studies in political science and economics. We uncover new information hidden by original estimation strategies while producing findings that are consistent with conventional methods. Through these replication efforts, we provide a step-by-step practice guide for applying causal forests in evaluating treatment effect heterogeneity.