Sino-liberalism: the socialist market and the neoliberal concept of freedom

The very notion of China’s ‘socialist market economy’ presents us with numerous paradoxes, such as the way it challenges former distinctions made between democratic and Communist systems. This paper examines the rhetorical dimensions of Milton Friedman’s seminal text, Capitalism and freedom (1962), and demonstrates how literary analysis can make an important contribution towards our understanding of the formation of neoliberal ideology. Drawing on critiques of Chinese capitalism mounted by Zhu Wen in his 1994 short story ‘I Love Dollars’, and the essays in Yu Hua’s China in ten words collection (2011), I show the extent to which the perceived discordance between neoliberalism and socialism is grounded in bi-polar Cold War formations. This examination of neoliberal ideals across three literary genres highlights the layers of fiction, and truth, that are present equally within those designated categories of prose, non-fiction, and economic tract.     

Naloxone administration for suspected opioid overdose: An expanded scope of practice by a basic life support collegiate-based emergency medical services agency

Opioid abuse is a growing and significant public health concern in the United States. Naloxone is an opioid antagonist that can rapidly reverse the respiratory depression associated with opioid toxicity. Georgetown University's collegiate-based emergency medical services (EMS) agency recently adopted a protocol, allowing providers to administer intranasal naloxone for patients with suspected opioid overdose. While normally not within the scope of practice of basic life support prehospital agencies, the recognition of an increasing epidemic of opioid abuse has led many states, including the District of Columbia, to expand access to naloxone for prehospital providers of all levels of training. In particular, intranasal naloxone is a method of administering this medication that potentially avoids needlestick injuries among EMS providers. Universities with collegiate-based EMS agencies are well positioned to provide life-saving treatments for patients acutely ill from opioid overdose.     

Optimal experimental plan for multi-level stress testing with Weibull regression under progressive Type-II extremal censoring

In the design of constant-stress life-testing experiments, the optimal allocation in a multi-level stress test with Type-I or Type-II censoring based on the Weibull regression model has been studied in the literature. Conventional Type-I and Type-II censoring schemes restrict our ability to observe extreme failures in the experiment and these extreme failures are important in the estimation of upper quantiles and understanding of the tail behaviors of the lifetime distribution. For this reason, we propose the use of progressive extremal censoring at each stress level, whereas the conventional Type-II censoring is a special case. The proposed experimental scheme allows some extreme failures to be observed. The maximum likelihood estimators of the model parameters, the Fisher information, and asymptotic variance–covariance matrices of the maximum likelihood estimates are derived. We consider the optimal experimental planning problem by looking at four different optimality criteria. To avoid the computational burden in searching for the optimal allocation, a simple search procedure is suggested. Optimal allocation of units for two- and four-stress-level situations is determined numerically. The asymptotic Fisher information matrix and the asymptotic optimal allocation problem are also studied and the results are compared with optimal allocations with specified sample sizes. Finally, conclusions and some practical recommendations are provided.     

A comparative study of tests for paired lifetime data

In this paper, we investigate different procedures for testing the equality of two mean survival times in paired lifetime studies. We consider Owen’s M-test and Q-test, a likelihood ratio test, the paired t-test, the Wilcoxon signed rank test and a permutation test based on log-transformed survival times in the comparative study. We also consider the paired t-test, the Wilcoxon signed rank test and a permutation test based on original survival times for the sake of comparison. The size and power characteristics of these tests are studied by means of Monte Carlo simulations under a frailty Weibull model. For less skewed marginal distributions, the Wilcoxon signed rank test based on original survival times is found to be desirable. Otherwise, the M-test and the likelihood ratio test are the best choices in terms of power. In general, one can choose a test procedure based on information about the correlation between the two survival times and the skewness of the marginal survival distributions.     

From separability to unweighted sum: A case for utilitarianism

After reviewing the compelling case for separability (`social welfare is a separable function of individual utilities'), an argument is advanced for utilitarianism (defined as `social welfare is the unweighted sum of individual utilities'). Basically, a compelling individualism-type axiom leads us to (social welfare as an) unweighted sum (of individual utilities), given separability.     

Testing for monotonic trend in time series based on resampling methods

In this paper, we propose several tests for monotonic trend based on the Brillinger's test statistic (1989, Biometrika, 76, 23–30). When there are highly correlated residuals or short record lengths, Brillinger's test procedure tends to have significance level much higher than the nominal level. It is found that this could be related to the discrepancy between the empirical distribution of the test statistic and the asymptotic normal distribution. Hence, in this paper, we propose three bootstrap-based procedures based on the Brillinger's test statistic to test for monotonic trend. The performance of the proposed test procedures is evaluated through an extensive Monte Carlo simulation study, and is compared to other trend test procedures in the literature. It is shown that the proposed bootstrap-based Brillinger test procedures can well control the significance levels and provide satisfactory power performance in testing the monotonic trend under different scenarios.     

The family exclusion order as a harm-minimisation measure for casino gambling: the case of Singapore

Singapore is one of the first jurisdictions in the world that has implemented a harm minimization model based on third party exclusion known as the Family Exclusion Order (FEO). Unlike other forms of third party exclusion practiced in other countries, family members in Singapore are able to apply for FEOs to prevent a gambler from entering the casinos, if the family has experienced harm caused by his/her gambling. In this study, 105 applicants for the FEO were sampled from all successful FEOs granted within a five-year period. Using a qualitative approach, this study attempts to illuminate the intricate issues experienced by family members that provided the impetus for them to apply for the FEO. While the extant literature posits self-exclusion as a superior tool of restraint as it involves the gambler’s personal motivation to curb gambling, this paper reports initial evidence of benefits resulting from family-imposed restraints from the perspective of family members. In particular, positive ratings of the FEO stemmed from a sense of relief experienced by mother and wife applicants. Possible reasons behind these positive outcomes are explicated using intrinsic motivation theory, with sensitivity to gender relations within the family.     

A note on Cochran test for homogeneity in one-way ANOVA and meta-analysis

In this paper we provide a formal yet simple and straightforward proof of the asymptotic χ² distribution for Cochran test statistic. Then, we show that the general form of this type of test statistics is invariant for the choice of weights. This fact is important since in practice many such test statistics are constructed with more complicated forms which usually require calculating generalized inverse matrices. Based on our results, we can simplify the construction of the test statistics. More importantly, properties such as anti-conservativeness of this type of test statistics can be drawn from Cochran test statistic. Furthermore, one can improve the performance of the tests by using some modified statistics with correction for small sample size situations.     

Joint-regression Analysis for Incomplete Two-way Tables

Joint-regression analysis of incomplete two-way tables of genotype-by-environment data is usually carried out using the iterative method of Digby (1979). However, the nonlinear analysis method of Ng & Grunwald (1997) can also be used. The speed of convergence for the Ng & Grunwald method compares favourably with that of Digby, and more importantly the method gives valid inference and hence should be preferred.     

A Concept Mapping Study on Social Inclusion in Hong Kong

A focus group study involving concept mapping was conducted in September 2012 to investigate how the concept of social inclusion was understood by Hong Kong residents. It was a replication of an earlier UK study. Seven groups involving 61 participants (38 females; 23 males) were interviewed, including non-professional workers at a Non-government Organisation service, senior centre users, a mixed group of community residents, people with severe mental illness, professional social service providers, communication studies students, and social work students. Data analysis using Nvivo 10 and systematic thematic analysis identified six major themes including: (1) material resources and wealth, (2) work, (3) social (dis)harmony and diversity, (4) discrimination, (5) communication, and (6) participation in activities. An overall final model of Social Inclusion for Hong Kong based on concept maps for all seven groups is presented. The results will inform the conceptualisation and development of a Chinese-language measure of social inclusion (SCOPE-C) based on translation and cultural adaption of the Social and Community Opportunities Profile (SCOPE) developed in UK.