Connectivity, online social capital, and mood : a Bayesian nonparametric analysis

Social capital indicative of community interaction and support is intrinsically linked to mental health. Increasing online presence is now the norm. Whilst social capital and its impact on social networks has been examined, its underlying connection to emotional response such as mood, has not been investigated. This paper studies this phenomena, revisiting the concept of “online social capital†in social media communities using measurable aspects of social participation and social support. We establish the link between online capital derived from social media and mood, demonstrating results for different cohorts of social capital and social connectivity. We use novel Bayesian nonparametric factor analysis to extract the shared and individual factors in mood transition across groups of users of different levels of connectivity, quantifying patterns and degree of mood transitions. Using more than 1.6 million users from Live Journal, we show quantitatively that groups with lower social capital have fewer positive moods and more negative moods, than groups with higher social capital. We show similar effects in mood transitions. We establish a framework of how social media can be used as a barometer for mood. The significance lies in the importance of online social capital to mental well-being in overall. In establishing the link between mood and social capital in online communities, this work may suggest the foundation of new systems to monitor online mental well-being.

Estimating the number of green and loggerhead turtles nesting annually in the Mediterranean

Most species of marine turtle breed every two or more years and it is the norm for females to lay more than one clutch of eggs within a nesting season. Knowing the interval between breeding seasons and the clutch frequency (number of clutches laid by an individual in a breeding season) of females allows us to assess the status of a nesting population. At Alagadi Beach, Northern Cyprus, over a period of 6 years (1995–2000), we attributed 96% of green Chelonia mydas and 80% of loggerhead Caretta caretta turtle clutches to known individual females. This intensive level of monitoring enabled us to estimate the clutch frequency for both species. Using four different methods we estimated clutch frequency to be 2.9–3.1 clutches per female for green turtles and 1.8–2.2 clutches per female for loggerhead turtles. The median interval between nesting seasons for green turtles was 3 years, and for loggerhead turtles it was 2 years. Utilizing these parameters and available data from other beaches that are monitored regularly, we estimate that there are 2,280–2,787 logger-head and 339–360 green turtles nesting annually at these sites in the Mediterranean. This highlights the Critically Endangered status of this population of green turtles. Furthermore, as conventional beach patrols underestimate clutch frequency, these population estimates are likely to be optimistic.

Blind Spectral Unmixing Based on Sparse Nonnegative Matrix Factorization

Nonnegative matrix factorization (NMF) is a widely used method for blind spectral unmixing (SU), which aims at obtaining the endmembers and corresponding fractional abundances, knowing only the collected mixing spectral data. It is noted that the abundance may be sparse (i.e., the endmembers may be with sparse distributions) and sparse NMF tends to lead to a unique result, so it is intuitive and meaningful to constrain NMF with sparseness for solving SU. However, due to the abundance sum-to-one constraint in SU, the traditional sparseness measured by L0/L1-norm is not an effective constraint any more. A novel measure (termed as S-measure) of sparseness using higher order norms of the signal vector is proposed in this paper. It features the physical significance. By using the S-measure constraint (SMC), a gradient-based sparse NMF algorithm (termed as NMF-SMC) is proposed for solving the SU problem, where the learning rate is adaptively selected, and the endmembers and abundances are simultaneously estimated. In the proposed NMF-SMC, there is no pure index assumption and no need to know the exact sparseness degree of the abundance in prior. Yet, it does not require the preprocessing of dimension reduction in which some useful information may be lost. Experiments based on synthetic mixtures and real-world images collected by AVIRIS and HYDICE sensors are performed to evaluate the validity of the proposed method.

Information structure and the flow of translation

Translators often follow the established conventions of translations set out by founders like Nida and Taber (1969) or Newmark (1988). The principal convention, one could say, is to adhere to the source text in form and meaning. Another major convention is to keep the flow of the translated text natural, often referred to as ‘readability’ (Baker and Saldanha, 2009; Hatim and Munday, 2004). These two conventions are hard to go together, and one of them is often flouted. To maintain the same position of discoursal elements or information structure of the source text which include thematic information, left-dislocation, contrastiveness, and passive voice in the translated text is not an easy task. This exacerbates the task especially if the source and the target language have different typological features. This paper argues that discoursal elements are determinant in understanding the flow of the texts in the source language and should not, therefore, be frequently switched around in the translated texts to fit the norm of the target language. The order of these information structure elements should be maximally maintained when translating a text into a target language. It is after all the employment of such information structure units by the writer of the source text which is significant at any given point in discourse both cognitively, when processing the text, and interactionally, when communicating with the reader.

Culture and sex education : the acquisition of sexual knowledge for a group of Vietnamese Australian young women

This paper explores how a group of Vietnamese Australian young women acquire knowledge of sexual issues, and the impact the traditional Vietnamese culture has on the acquisition of this knowledge. It is based on a qualitative study that examined the factors which shape the sexual behaviour of Vietnamese Australian young women living in Australia. A Grounded Theory methodology was employed in this investigation, and involved in-depth interviews with 15 Vietnamese Australian young women aged 18-25 years, who reside in Victoria, Australia. The findings illustrated three key elements involved in the acquisition of knowledge of sexual issues: 'Accepting parental silence', 'Exploring sources of knowledge' and 'Needing culturally targeted information'. The young women desired discussion about sexual issues but accepted that cultural 'barriers' were formidable. Their desire conflicted with the traditional familial norm of 'silence' regarding sexual matters. Consequently, knowledge was sought outside the home, specifically from peers and the media. The importance of culturally appropriate and adequate sexual discussions for Vietnamese Australian young people was stressed, so that informed decisions could be made about their sexual lives. It is imperative for young people to have adequate and appropriate sexual education so that informed and safe sexual choices can be made. For young people from diverse cultural backgrounds, this education must be culturally appropriate and accessible, taking into consideration cultural mores regarding gender and sexual matters, as well as current beliefs in the 'mainstream' youth culture.

Stable operation of distribution networks using D-STATCOM considering uncertainties in load compositions

This paper presents a novel control design for D-STATCOM to ensure grid code-compatible performance of distributed wind generators. The approach considered in this paper is to find the smallest upper bound on the H norm of the uncertain system and to design an optimal linear quadratic Gaussian (LQG) controller based on this bound. The change in the model due to variations of induction motor (IM) load compositions in the composite load is considered as an uncertain term in the design algorithm. The performance of the designed controller is demonstrated on a distribution test system representative of the Kumamoto area in Japan. It is found that the proposed controller enhances voltage stability of the distribution system under varying operating conditions

A control methodology for DFIG type wind turbines connected to distribution networks

This paper proposes a decentralised controller design for doubly-fed induction generators (DFIGs) to enhance dynamic performance of distribution networks. The change in the output power due to the variable nature of wind is considered as an uncertain term in the design algorithm. In addition, the interconnection effect of the other subsystems are considered in the design process. The H norm of the uncertain system is found out and simultaneous output-feedback linear controllers are designed based controller is verified on a 16 bus distribution test system for severe disturbances. Simulation results indicate that the designed controller is robust against uncertainties in operating conditions

D-STATCOM control in distribution networks with composite loads to ensure grid code compatible performance of photovoltaic generators

This paper proposes an optimal linear quadratic Gaussian (LQG) controller for D-STATCOM to improve the dynamic performance of distribution networks with photovoltaic generators. The controller is designed based on the H∞ norm of the uncertain system. The change in system model due to the variation of load compositions in the composite load is considered as an uncertain term in the design algorithm. The performance of the designed controller is demonstrated on a widely used test system. Simulation results indicate that the proposed controller can be a potential solution for improving the voltage stability of distribution networks.

Australia’s strategic culture: constraints and opportunities in security policymaking

 This article draws on fourth generation strategic culture debates to show the gap between the rhetoric of Australian defence and the more modest reality. Our analysis shows that these limits derive from tensions between national strategic culture and organizational strategic subcultures. There are serious debates in the nation regarding the preferred course of the Australian military and security policy. This article frames these debates by examining the ‘keepers’ of Australia's national strategic culture, the existence of several competing strategic subcultures, and the importance of norm entrepreneurs in changing defence and national security thinking. Strategic subcultures foster compartmentalization, constraints, and bureaucratic silos that narrow national conceptions of security threats and opportunities, and impinge on the formation of coherent foreign and defence policy in relation to the Asia-Pacific region. This analysis shows that a distinct national strategic culture and organizational strategic subcultures endure beyond individual governments, placing potential limits on Australia's interface with other Asia-Pacific strategic cultures in the future.

Remaking asylum in post-war France, 1944−52

This article examines the steps by which asylum and the rights of refugees were remade in France after the Liberation. The legacy of the pre-1940 period, in which exclusive practices such as legislative prohibitions on refugees, expulsion and internment were the norm, resulted in the need, after the war, to restate and reaffirm republican prin- ciples. The article will examine the ideological assumptions that lay behind the postwar asylum debate, and address why it was necessary to place asylum so firmly within republican political culture

The dimensional salience solution to the expectancy - value muddle : an extension

The theory of reasoned action (TRA) specifies a set of expectancy-value, belief-based frameworks that underpin attitude (behavioural beliefs × outcome evaluations) and subjective norm (normative beliefs × motivation to comply). Unfortunately, the most common method for analysing these frameworks generates statistically uninterpretable findings, resulting in what has been termed the ‘expectancy-value muddle’. Recently, however, a dimensional salience approach was found to resolve this muddle for the belief-based framework underpinning attitude. An online survey of 262 participants was therefore conducted to determine whether the dimensional salience approach could also be applied to the belief-based framework underpinning subjective norm. Results revealed that motivations to comply were greater for salient, as opposed to non-salient, social referents. The belief-based framework underpinning subjective norm was therefore represented by evaluating normative belief ratings for salient social referents. This modified framework was found to predict subjective norm, although predictions were greater when participants were forced to select five salient social referents rather than being free to select any number of social referents. These findings validate the use of the dimensional salience approach for examining the belief-based frameworks underpinning subjective norm. As such, this approach provides a complete solution to addressing the expectancy-value muddle in the TRA.

Norms and their relationship to behavior in worksite settings : an application of the Jackson Return Potential Model

To measure health norms and assess their influence on behavior among 2541 employees in 16 manufacturing worksites using an adapted Jackson's Return Potential Model (RPM). METHODS: Worksite-level norm intensity, crystallization, and normative power were calculated for several behaviors; linear regression analyses tested whether normative power was related to each health behavior. RESULTS: Norms about safe work practices and smoking were most intense; norms about safe work practices were most crystallized. Safe work practices and smoking held the highest normative power; healthy eating held the least normative power. Comparing norm characteristics across health behaviors leads to important leverage points for intervening to influence norms and improve worker health.

Distinguishing between mathematics classrooms in Australia, China, Japan, Korea and the USA through the lens of the distribution of responsibility for knowledge generation : public oral interactivity and mathematical orality

The research reported in this paper examined spoken mathematics in particular well-taught classrooms in Australia, China (both Shanghai and Hong Kong), Japan, Korea and the USA from the perspective of the distribution of responsibility for knowledge generation in order to identify similarities and differences in classroom practice and the implicit pedagogical principles that underlie those practices. The methodology of the Learner’s Perspective Study (LPS) documented the voicing of mathematical ideas in public discussion and in teacher-student conversations and the relative priority accorded by different teachers to student oral contributions to classroom activity. Significant differences were identified among the classrooms studied, challenging simplistic characterisations of ‘the Asian classroom’ as enacting a single pedagogy, and suggesting that, irrespective of cultural similarities, local pedagogies reflect very different assumptions about learning and instruction. We have employed spoken mathematical terms as a form of surrogate variable, possibly indicative of the location of the agency for knowledge generation in the various classrooms studied (but also of interest in itself). The analysis distinguished one classroom from another on the basis of “public oral interactivity” (the number of utterances in whole class and teacher-student interactions in each lesson) and “mathematical orality” (the frequency of occurrence of key mathematical terms in each lesson). Classrooms characterized by high public oral interactivity were not necessarily sites of high mathematical orality. In particular, the results suggest that one characteristic that might be identified with a national norm of practice could be the level of mathematical orality: relatively high mathematical orality characterising the mathematics classes in Shanghai with some consistency, while lessons in Seoul and Hong Kong consistently involved much less frequent spoken mathematical terms. The relative contributions of teacher and students to this spoken mathematics provided an indication of how the responsibility for knowledge generation was shared between teacher and student in those classrooms. Specific analysis of the patterns of interaction by which key mathematical terms were introduced or solicited revealed significant differences. It is suggested that the empirical investigation of mathematical orality and its likely connection to the distribution of the responsibility for knowledge generation are central to the development of any theory of mathematics instruction.

Found Found Found

Through time-lapse and pixilated animation, recorded on the run through Serbia, Europe, international air travel through Australasia, and including recordings at the 2013 Christmas Markets in Dusseldorf, this short roaming personal narrative contemplates our current pre-occupation with mobile technologies and the concomitant reshaping of everyday life and public space. It features one extreme response to technological and political change: Alex Jones’ Infowars radio program. The film suggests surveillance, metamorphosed from avant-garde and minimalist cinema, as the ‘new norm’, and witnesses the new stasis that hypermobility institutes globally and the florid thinking it elicits.