A matter of style? Driver attributional 'style' in accounting for the driving of others as protective or as predisposing drivers towards retaliatory aggressive driving

Driver cognitions about aggressive driving of others are potentially important to the development of evidence-based interventions. Previous research has suggested that perceptions that other drivers are intentionally aggressive may influence recipient driver anger and subsequent aggressive responses. Accordingly, recent research on aggressive driving has attempted to distinguish between intentional and unintentional motives in relation to problem driving behaviours. This study assessed driver cognitive responses to common potentially provocative hypothetical driving scenarios to explore the role of attributions in driver aggression. A convenience sample of 315 general drivers 16–64 yrs (M = 34) completed a survey measuring trait aggression (Aggression Questionnaire AQ), driving anger (Driving Anger Scale, DAS), and a proxy measure of aggressive driving behaviour (Australian Propensity for Angry Driving AusPADS). Purpose designed items asked for drivers’ ‘most likely’ thought in response to AusPADS scenarios. Response options were equivalent to causal attributions about the other driver. Patterns in endorsements of attribution responses to the scenarios suggested that drivers tended to adopt a particular perception of the driving of others regardless of the depicted circumstances: a driving attributional style. No gender or age differences were found for attributional style. Significant differences were detected between attributional styles for driving anger and endorsement of aggressive responses to driving situations. Drivers who attributed the on-road event to the other being an incompetent or dangerous driver had significantly higher driving anger scores and endorsed significantly more aggressive driving responses than those drivers who attributed other driver’s behaviour to mistakes. In contrast, drivers who gave others the ‘benefit of the doubt’ endorsed significantly less aggressive driving responses than either of these other two groups, suggesting that this style is protective.

Sectionalizing strategies for minimizing outage durations of critical loads in parallel power system restoration with bi-level programming

Fast restoration of critical loads and non-black-start generators can significantly reduce the economic losses caused by power system blackouts. In a parallel power system restoration scenario, the sectionalization of restoration subsystems plays a very important role in determining the pickup of critical loads before synchronization. Most existing research mainly focuses on the startup of non-black-start generators. The restoration of critical loads, especially the loads with cold load characteristics, has not yet been addressed in optimizing the subsystem divisions. As a result, sectionalized restoration subsystems cannot achieve the best coordination between the pickup of loads and the ramping of generators. In order to generate sectionalizing strategies considering the pickup of critical loads in parallel power system restoration scenarios, an optimization model considering power system constraints, the characteristics of the cold load pickup and the features of generator startup is proposed in this paper. A bi-level programming approach is employed to solve the proposed sectionalizing model. In the upper level the optimal sectionalizing problem for the restoration subsystems is addressed, while in the lower level the objective is to minimize the outage durations of critical loads. The proposed sectionalizing model has been validated by the New-England 39-bus system and the IEEE 118-bus system. Further comparisons with some existing methods are carried out as well.

The impact of neuropsychological functioning and coping style on perceived stress in individuals with first-episode psychosis and healthy controls

Stress is implicated in the development and course of psychotic illness, but the factors that influence stress levels are not well understood. The aim of this study was to examine the impact of neuropsychological functioning and coping styles on perceived stress in people with first-episode psychosis (FEP) and healthy controls (HC). Thirty-four minimally treated FEP patients from the Early Psychosis Prevention and Intervention Centre, Melbourne, Australia, and 26 HC participants from a similar demographic area participated in the study. Participants completed a comprehensive neuropsychological test battery as well as the Coping Inventory for Stressful Situations (task-, emotion- and avoidance-focussed coping styles) and Perceived Stress Scale (PSS). Linear regressions were used to determine the contribution of neuropsychological functioning and coping style to perceived stress in the two groups. In the FEP group, higher levels of emotion-focussed and lower levels of task-focussed coping were associated with elevated stress. Higher premorbid IQ and working memory were also associated with higher subjective stress. In the HC group, higher levels of emotion-focussed coping, and contrary to the FEP group, lower premorbid IQ, working memory and executive functioning, were associated with increased stress. Lower intellectual functioning may provide some protection against perceived stress in FEP.

Curating in uncharted territories: An examination of a programming model & communicative platform for curation in non-traditional art spaces

This thesis articulates and examines public engagement programming in an emerging, non¬-traditional site. As a practice-led research project, the creative work proposes a site responsive, engagement centric, agile model for curatorial programming that developed out of the dynamic, new media/digital, curatorial practice at QUT's Creative Industries Precinct. The model and its accompanying exegetical framework, Curating in Uncharted Territories, offer a theoretically informed approach to programming, delivering and reporting for curatorial practices in a non¬-traditional sites of public engagement. The research provides the foundation for full development of the model and the basis for further research.

Free trade, Gangnam Style: The Korea-Australia free trade agreement

On the 5th December 2013, Australia and Korea announced that they had finalised a new free trade agreement. Is it a fair trade fairytale? Or is it a dirty deal done dirt cheap? It is hard to tell, because the respective governments have not yet published the text of the Korea-Australia Free Trade Agreement (KAFTA). There has been much debate in the Australian Parliament over the transparency of the trade agreement; the scope of market access provided under the deal; and the impact of the investment chapter, with an investor-state dispute settlement clause. KAFTA foreshadows the approach of the new Conservative Government in Australia to other trade deals – such as the Trans-Pacific Partnership.

Programming: Reading, writing and reversing

In this paper, we look at the concept of reversibility, that is, negating opposites, counterbalances, and actions that can be reversed. Piaget identified reversibility as an indicator of the ability to reason at a concrete operational level. We investigate to what degree novice programmers manifest the ability to work with this concept of reversibility by providing them with a small piece of code and then asking them to write code that undoes the effect of that code. On testing entire cohorts of students in their first year of learning to program, we found an overwhelming majority of them could not cope with such a concept. We then conducted think aloud studies of novices where we observed them working on this task and analyzed their contrasting abilities to deal with it. The results of this study demonstrate the need for better understanding our students' reasoning abilities, and a teaching model aimed at that level of reality.

Linear programming for large-scale Markov decision problems

We consider the problem of controlling a Markov decision process (MDP) with a large state space, so as to minimize average cost. Since it is intractable to compete with the optimal policy for large scale problems, we pursue the more modest goal of competing with a low-dimensional family of policies. We use the dual linear programming formulation of the MDP average cost problem, in which the variable is a stationary distribution over state-action pairs, and we consider a neighborhood of a low-dimensional subset of the set of stationary distributions (defined in terms of state-action features) as the comparison class. We propose a technique based on stochastic convex optimization and give bounds that show that the performance of our algorithm approaches the best achievable by any policy in the comparison class. Most importantly, this result depends on the size of the comparison class, but not on the size of the state space. Preliminary experiments show the effectiveness of the proposed algorithm in a queuing application.

Model Predictive Static Programming: A Computationally Efficient Technique For Suboptimal Control Design

Combining the philosophies of nonlinear model predictive control and approximate dynamic programming, a new suboptimal control design technique is presented in this paper, named as model predictive static programming (MPSP), which is applicable for finite-horizon nonlinear problems with terminal constraints. This technique is computationally efficient, and hence, can possibly be implemented online. The effectiveness of the proposed method is demonstrated by designing an ascent phase guidance scheme for a ballistic missile propelled by solid motors. A comparison study with a conventional gradient method shows that the MPSP solution is quite close to the optimal solution.

Programming an FPGA to Emulate the Dynamics of DC Machines

This paper presents the programming an FPGA (Field Programmable Gate Array) to emulate the dynamics of DC machines. FPGA allows high speed real time simulation with high precision. The described design includes block diagram representation of DC machine, which contain all arithmetic and logical operations. The real time simulation of the machine in FPGA is controlled by user interfaces they are Keypad interface, LCD display on-line and digital to analog converter. This approach provides emulation of electrical machine by changing the parameters. Separately Exited DC machine implemented and experimental results are presented.

A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data

Background: A genetic network can be represented as a directed graph in which a node corresponds to a gene and a directed edge specifies the direction of influence of one gene on another. The reconstruction of such networks from transcript profiling data remains an important yet challenging endeavor. A transcript profile specifies the abundances of many genes in a biological sample of interest. Prevailing strategies for learning the structure of a genetic network from high-dimensional transcript profiling data assume sparsity and linearity. Many methods consider relatively small directed graphs, inferring graphs with up to a few hundred nodes. This work examines large undirected graphs representations of genetic networks, graphs with many thousands of nodes where an undirected edge between two nodes does not indicate the direction of influence, and the problem of estimating the structure of such a sparse linear genetic network (SLGN) from transcript profiling data. Results: The structure learning task is cast as a sparse linear regression problem which is then posed as a LASSO (l1-constrained fitting) problem and solved finally by formulating a Linear Program (LP). A bound on the Generalization Error of this approach is given in terms of the Leave-One-Out Error. The accuracy and utility of LP-SLGNs is assessed quantitatively and qualitatively using simulated and real data. The Dialogue for Reverse Engineering Assessments and Methods (DREAM) initiative provides gold standard data sets and evaluation metrics that enable and facilitate the comparison of algorithms for deducing the structure of networks. The structures of LP-SLGNs estimated from the INSILICO1, INSILICO2 and INSILICO3 simulated DREAM2 data sets are comparable to those proposed by the first and/or second ranked teams in the DREAM2 competition. The structures of LP-SLGNs estimated from two published Saccharomyces cerevisae cell cycle transcript profiling data sets capture known regulatory associations. In each S. cerevisiae LP-SLGN, the number of nodes with a particular degree follows an approximate power law suggesting that its degree distributions is similar to that observed in real-world networks. Inspection of these LP-SLGNs suggests biological hypotheses amenable to experimental verification. Conclusion: A statistically robust and computationally efficient LP-based method for estimating the topology of a large sparse undirected graph from high-dimensional data yields representations of genetic networks that are biologically plausible and useful abstractions of the structures of real genetic networks. Analysis of the statistical and topological properties of learned LP-SLGNs may have practical value; for example, genes with high random walk betweenness, a measure of the centrality of a node in a graph, are good candidates for intervention studies and hence integrated computational – experimental investigations designed to infer more realistic and sophisticated probabilistic directed graphical model representations of genetic networks. The LP-based solutions of the sparse linear regression problem described here may provide a method for learning the structure of transcription factor networks from transcript profiling and transcription factor binding motif data.

The Duet between the Author and the Translator: An Analysis of Style through Shifts in Literary Translation

The study proposes a method for identifying the personal imprint of literary translators in translated works of fiction. The initial assumption was that the style of a target text is not determined solely by the literary style of the author but also by features of its translator s idiolect. A method was developed for identifying the idiolectal features of individual translators, which were then used to describe personal translation styles. The method is not restricted to a particular language pair. To test the method and to establish the nature of the proposed personal imprint empirically, extracts from four English-language literary source texts (two novels by James Joyce and two by Ernest Hemingway) were first compared with their translations into Finnish (by four different translators) in order to identify changes, or shifts, that had taken place at the formal linguistic level in the translation process. To allow individual propensities to manifest themselves, only optional shifts in which the translators had a range of choices available to them were included in the study. In the second phase, extracts by different authors rendered into Finnish by the same translator were compared in order to gauge the extent of the potential impact of the author's style on the translator's work. In-depth analysis of the types of shifts made most frequently by the individual translators revealed further intersubjective differences, and the shifts were used to construct translation profiles for each of the translators. In order to determine the potential effects of frequently occurring shifts on the target text, some central concepts of narratology were adapted and used to establish an intermediate link between microlevel choices and macrolevel effects. In this way the propensity of an individual translator to opt for certain types of shift could be linked with the overall artistic effect of the target text.

Parallel parsing of programming languages

A new method of specifying the syntax of programming languages, known as hierarchical language specifications (HLS), is proposed. Efficient parallel algorithms for parsing languages generated by HLS are presented. These algorithms run on an exclusive-read exclusive-write parallel random-access machine. They require O(n) processors and O(log2n) time, where n is the length of the string to be parsed. The most important feature of these algorithms is that they do not use a stack.

Style and Readability in Football Texts

Tutkielmassa tarkastellaan jalkapallokieltä erikoiskielenä tyylintutkimuksen näkökulmasta. Tutkimusaineistoksi on valittu kuusi noin 2000 sanan pituista otosta erilaisista jalkapalloa käsittelevistä teksteistä, joista kolme on kirjoitettu suomeksi ja kolme englanniksi. Työssä pyritään selvittämään, mitä eroa yleiskieltä lähestyvillä ja erikoiskieliksi katsottavilla jalkapalloteksteillä on ja kuinka jalkapallokieli erikoiskielenä vertautuu muihin erikoiskieliin. Tutkimukseen sisältyy lisäksi tutkittuja tekstejä koskeva kyselyosio. Lopuksi pohditaan sitä, mitä merkitystä saadulla tiedolla on kääntämiselle. Käytetty tutkimustapa on luonteeltaan melko kvantitatiivinen, ja se pohjautuu pitkälti käsityksiin hyvästä luettavuudesta. Ensin teksteistä lasketaan keskimääräinen lausepituus, eri sanaluokkien frekvenssejä sekä aktiivi- ja passiivimuodossa olevien verbien suhde. Tämän jälkeen pohditaan, mitä merkitystä tuloksilla voisi olla tekstien tyylille ja luettavuudelle. Tekstit annetaan vielä luettaviksi koehenkilöille, jotka vastaavat tekstit luettuaan tyyliä ja luettavuutta koskevaan kyselyyn. Lopulta kyselyn tuloksia verrataan tyylianalyysin avulla saatuihin tuloksiin. Analysoiduista teksteistä saadut tulokset eivät vastaa aiemmin erikoiskielistä saatuja tuloksia, eikä jalkapallon erikoiskielestä synny kiistatonta kokonaiskuvaa. Substantiivien määrä etenkin suomenkielisissä jalkapalloteksteissä on niin suuri, että se vaikuttaa tekstien luettavuuteen ja tyyliin. Teksteissä käytetyt virkkeet eivät toisaalta ole kovin pitkiä tai monimutkaisia, mikä yhdistää jalkapallokieltä ja muissa urheilulajeissa käytettyä kieltä. Englanninkielisissä teksteissä käytetään enemmän adjektiiveja ja anaforista viittausta kuin suomenkielisissä, mikä on huomionarvoista käännöksissä, koska suomalaisilla kirjoittajilla vaikuttaisi analysoitujen tekstien perusteella todellakin olevan taipumusta substantiivien liialliseen käyttöön. Kyselystä saadut tulokset eivät vastaa frekvenssianalyyseistä saatuja tuloksia, ja kysely paljastaa myös sen, ettei lukunopeus ole aina luotettava luettavuuden mittari. Jos aihetta tutkittaisiin lisää, olisi tutkimusaineiston syytä olla laajempi, jotta saataisiin kouriintuntuvampia tuloksia. Mikäli tutkitaan myös tekstien luettavuutta, on syytä ottaa huomioon, ettei lukunopeuden mittaaminen ole välttämättä luotettava menetelmä luettavuuden toteamiseksi. Avainsanat Nyckelord Keywords Tyyli, luettavuus, rekisteri, tekstilaji, erikoiskielet, tyylintutkimus Säilytyspaikka Förvaringställe Where deposited Käännöstieteen laitoksen kirjasto

Mathematics, programming, and STEM

Learning mathematics is a complex and dynamic process. In this paper, the authors adopt a semiotic framework (Yeh & Nason, 2004) and highlight programming as one of the main aspects of the semiosis or meaning-making for the learning of mathematics. During a 10-week teaching experiment, mathematical meaning-making was enriched when primary students wrote Logo programs to create 3D virtual worlds. The analysis of results found deep learning in mathematics, as well as in technology and engineering areas. This prompted a rethinking about the nature of learning mathematics and a need to employ and examine a more holistic learning approach for the learning in science, technology, engineering, and mathematics (STEM) areas.