‘The Ties that Bind Us’: The Hidden Knots of Gay Marriage

Gay marriage has become a major transnational gay rights issue: a key marker of gay citizenship, to the extent that it is considered self-evident that its legalisation represents progress. Yet it is becoming apparent that this ‘progress’ is concurrent with other forms of exclusion. In this article, I argue that gay marriage is a convenient liberal smokescreen, leaving other exclusions unaddressed or even enabling their reinforcement. The discussion involves examination of three case studies: Argentina, the first Latin American country to legalise gay marriage in 2010; France, which legalised gay marriage in May, 2013; and Australia, which has not legalised gay marriage at the time of this writing

Imagined Transcultural Histories and Geographies

In a globalised world, an assumption prevails that the nation has somehow lost its power to regulate our lives, being undermined by other forces, either top-down through the impact of global capitalism or bottom-up through migrations, transnational religious, ethnic or social movement communities or other transversal politics. A related idea is that ‘culture’ is now irrevocably hybridised and border-zoned, that we no longer live in a world of discrete, located, identifiable and historically grounded cultures but in some unstable and for-the-moment insterstitiality, a sort of cultural interlanguage that sits outside well-mapped structures of power. Yet, just as the nation and the boundaries it sets around culture are being conceptually chased from our maps of the world, they come galloping back to reassert themselves. They do so politically, economically, legally, symbolically. Amidst all the noise of our transnationalisms, hybridities and interstitialities, the idea of what it is to be ‘Australian’ or ‘French’ or ‘Filipino’ or ‘Asian’ reaffirms itself, in mental geographies and constructed histories, as our ‘imagined community’ (to use Benedict Anderson’s famous term [Anderson 1983]), or indeed, ‘imagined Other’, even if it is an imagined ‘Other’ that we would somehow wish to incorporate into our newly hybridised Self. Using the notion of transcultural mappings, the articles in this special issue investigate this apparent paradox. They look at how the Self and Other have been mapped through imagined links between geography, history and cultural location. They interrogate the tension between the persistence of mappings of the world based on discrete national or cultural identities on one hand, and, on the other hand, the push to move beyond these carefully guarded borders and problematise precise notions of identity and belonging

Women and the ‘Turkish Paradox’: What The Headscarf is Covering Up

In September 2007, Michael M. Gunter and M. Hakan Yavuz published their article titled ‘Turkish paradox: Progressive Islamists versus Reactionary Secularists.’ The article was quickly disseminated within Islamic circles, including on the Muslim Brotherhood Official English website.1  This article was published shortly after the landslide re-election, in July 2007, of the Adalet ve Kalkinma Partisi(AKP), better known in the West as the Justice and Development Party (no direct relation to the Moroccan party of the same name, although the two bear similarities in positioning themselves as centrist, moderate and primary instruments of democratisation, and in obtaining popular support against a state seen as corrupt and repressive [Ciftci and Tekin 2009]). The core argument of the article was that the AKP, in power since 2002, had become an instrument of democratisation in Turkey for both economic and political reasons. The program of economic liberalism embraced by the AKP (albeit already begun by previous governments), resulting in unprecedented economic growth, and a widespread political appeal achieved by professing to temper religious adherence with respect for secularism and democracy, along with an expression of willingness to address the Kurdish question, combined with voter disillusionment with the bureaucratic and militarised Kemalist state, thus turning upside down historical political understandings of the ideas of the ‘progressive’ and the ‘reactionary’

What is the functional outcome for the upper limb after stroke?

The Motor Assessment Scale (MAS) and the Functional Independence Measure (FIM) are commonly used in Australian rehabilitation centres but there have been few systematic studies using them to measure recovery after stroke, especially with regard to upper limb function. The aims of this study were to provide a profile of upper limb recovery in a non-surgical stroke population using measures of impairment and disability. The records of 153 subjects were audited for upper limb MAS sub-scores, the FIM sub-score for upper body dressing, and the total FIM score at admission and discharge from rehabilitation. Significant improvement occurred for all outcome measures. There was no relationship between the MAS scores and the functional task of upper body dressing. The results emphasize the importance of using outcome measures that assess both impairment and disability, and indicate that substantial improvements in upper limb function frequently occur after stroke. Although the MAS has limitations, it is a valuable tool for measuring upper limb outcome after stroke because it provides a more accurate profile of true upper limb recovery than the FIM

Diagnostic accuracy of the Cepheid 3-gene host response fingerstick blood test in a prospective, multi-site study: interim results.

BACKGROUND: The development of a fast and accurate, non-sputum-based point-of-care triage test for tuberculosis (TB) would have a major impact on combating the TB burden worldwide. A new fingerstick blood test has been developed by Cepheid (the Xpert-MTB-Host Response (HR)-Prototype), which generates a 'TB score' based on mRNA expression of 3 genes. Here we describe the first prospective findings of the MTB-HR prototype. METHODS: Fingerstick blood from adults presenting with symptoms compatible with TB in South Africa, The Gambia, Uganda and Vietnam was analysed using the Cepheid GeneXpert MTB-HR prototype. Accuracy of the Xpert MTB-HR cartridge was determined in relation to GeneXpert Ultra results and a composite microbiological score (GeneXpert Ultra and liquid culture) with patients classified as having TB or other respiratory diseases (ORD). RESULTS: When data from all sites (n=75 TB, 120 ORD) were analysed, the TB score discriminated between TB and ORD with an AUC of 0·94 (CI, 0·91-0·97), sensitivity of 87% (CI, 77-93%) and specificity of 94% (88-97%). When sensitivity was set at 90% for a triage test, specificity was 86% (CI, 75-97%). These results were not influenced by HIV status or geographical location. When evaluated against a composite microbiological score (n=80 TB, 111 ORD), the TB score was able to discriminate between TB and ORD with an AUC of 0·88 (CI, 0·83-0·94), 80% sensitivity (CI, 76-85%) and 94% specificity (CI, 91-96%). CONCLUSIONS: Our interim data indicate the Cepheid MTB-HR cartridge reaches the minimal target product profile for a point of care triage test for TB using fingerstick blood, regardless of geographic area or HIV infection status

Principal component analysis as an efficient method for capturing multivariate brain signatures of complex disorders—ENIGMA study in people with bipolar disorders and obesity

Multivariate techniques better fit the anatomy of complex neuropsychiatric disorders which are characterized not by alterations in a single region, but rather by variations across distributed brain networks. Here, we used principal component analysis (PCA) to identify patterns of covariance across brain regions and relate them to clinical and demographic variables in a large generalizable dataset of individuals with bipolar disorders and controls. We then compared performance of PCA and clustering on identical sample to identify which methodology was better in capturing links between brain and clinical measures. Using data from the ENIGMA-BD working group, we investigated T1-weighted structural MRI data from 2436 participants with BD and healthy controls, and applied PCA to cortical thickness and surface area measures. We then studied the association of principal components with clinical and demographic variables using mixed regression models. We compared the PCA model with our prior clustering analyses of the same data and also tested it in a replication sample of 327 participants with BD or schizophrenia and healthy controls. The first principal component, which indexed a greater cortical thickness across all 68 cortical regions, was negatively associated with BD, BMI, antipsychotic medications, and age and was positively associated with Li treatment. PCA demonstrated superior goodness of fit to clustering when predicting diagnosis and BMI. Moreover, applying the PCA model to the replication sample yielded significant differences in cortical thickness between healthy controls and individuals with BD or schizophrenia. Cortical thickness in the same widespread regional network as determined by PCA was negatively associated with different clinical and demographic variables, including diagnosis, age, BMI, and treatment with antipsychotic medications or lithium. PCA outperformed clustering and provided an easy-to-use and interpret method to study multivariate associations between brain structure and system-level variables. Practitioner Points: In this study of 2770 Individuals, we confirmed that cortical thickness in widespread regional networks as determined by principal component analysis (PCA) was negatively associated with relevant clinical and demographic variables, including diagnosis, age, BMI, and treatment with antipsychotic medications or lithium. Significant associations of many different system-level variables with the same brain network suggest a lack of one-to-one mapping of individual clinical and demographic factors to specific patterns of brain changes. PCA outperformed clustering analysis in the same data set when predicting group or BMI, providing a superior method for studying multivariate associations between brain structure and system-level variables.</p

Principal component analysis as an efficient method for capturing multivariate brain signatures of complex disorders—ENIGMA study in people with bipolar disorders and obesity

Multivariate techniques better fit the anatomy of complex neuropsychiatric disorders which are characterized not by alterations in a single region, but rather by variations across distributed brain networks. Here, we used principal component analysis (PCA) to identify patterns of covariance across brain regions and relate them to clinical and demographic variables in a large generalizable dataset of individuals with bipolar disorders and controls. We then compared performance of PCA and clustering on identical sample to identify which methodology was better in capturing links between brain and clinical measures. Using data from the ENIGMA-BD working group, we investigated T1-weighted structural MRI data from 2436 participants with BD and healthy controls, and applied PCA to cortical thickness and surface area measures. We then studied the association of principal components with clinical and demographic variables using mixed regression models. We compared the PCA model with our prior clustering analyses of the same data and also tested it in a replication sample of 327 participants with BD or schizophrenia and healthy controls. The first principal component, which indexed a greater cortical thickness across all 68 cortical regions, was negatively associated with BD, BMI, antipsychotic medications, and age and was positively associated with Li treatment. PCA demonstrated superior goodness of fit to clustering when predicting diagnosis and BMI. Moreover, applying the PCA model to the replication sample yielded significant differences in cortical thickness between healthy controls and individuals with BD or schizophrenia. Cortical thickness in the same widespread regional network as determined by PCA was negatively associated with different clinical and demographic variables, including diagnosis, age, BMI, and treatment with antipsychotic medications or lithium. PCA outperformed clustering and provided an easy-to-use and interpret method to study multivariate associations between brain structure and system-level variables. Practitioner Points: In this study of 2770 Individuals, we confirmed that cortical thickness in widespread regional networks as determined by principal component analysis (PCA) was negatively associated with relevant clinical and demographic variables, including diagnosis, age, BMI, and treatment with antipsychotic medications or lithium. Significant associations of many different system-level variables with the same brain network suggest a lack of one-to-one mapping of individual clinical and demographic factors to specific patterns of brain changes. PCA outperformed clustering analysis in the same data set when predicting group or BMI, providing a superior method for studying multivariate associations between brain structure and system-level variables.</p

Fundamental questions and applications of sclerochronology: Community-defined research priorities.

Horizon scanning is an increasingly common strategy to identify key research needs and frame future agendas in science. Here, we present the results of the first such exercise for the field of sclerochronology, thereby providing an overview of persistent and emergent research questions that should be addressed by future studies. Through online correspondence following the 5th International Sclerochronology Conference in 2019, participants submitted and rated questions that addressed either knowledge gaps or promising applications of sclerochronology. An initial list of 130 questions was compiled based on contributions of conference attendees and reviewed by expert panels formed during the conference. Herein, we present and discuss the 50 questions rated to be of the highest priority, determined through an online survey distributed to sclerochronology community members post the conference. The final list (1) includes important questions related to mechanisms of biological control over biomineralization, (2) highlights state of the art applications of sclerochronological methods and data for solving long-standing questions in other fields such as climate science and ecology, and (3) emphasizesthe need for common standards for data management and analysis. Although research priorities are continually reassessed, our list provides a roadmap that can be used to motivate research efforts and advance sclerochronology towardnew, and more powerful, applications.N/