An exploratory investigation of the process of perspective taking in interpersonal situations

The ability to take the perspectives of others is considered a prerequisite for effective interpersonal interaction. Despite extensive investigation into the correlates of perspective taking, there have been few previous attempts to understand the process by which people take another's psychological point of view. The purpose of this exploratory study was to identify the strategies used by individuals when attempting to take the perspective of another person. Twelve participants discussed a time they engaged in perspective taking. The analysis revealed that perspective taking was used in situations in which significant negative emotions could arise, and that participants shifted between the use of self-information (e.g., switching places, past experience) and other-information (e.g., target's personal characteristics) during the process of perspective taking. Different emotions and cognitions were associated with taking one's own perspective and taking that of the other person. The study provides a direct consideration of an under-investigated component of social and personal relationships.

One-Step Wet-Spinning Process of Poly(3,4-ethylenedioxythiophene):Poly(styrenesulfonate) Fibers and the Origin of Higher Electrical Conductivity

A simplified wet-spinning process for the production of continuous poly (3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) fibers is reported. Conductivity enhancement of PEDOT:PSS fibers up to 223 S cm−1 has been demonstrated when these fibers are exposed to ethylene glycol as a post-synthesis processing step. In a new spinning approach it is shown that by employing a spinning formulation consisting of an aqueous blend of PEDOT:PSS and poly(ethlylene glycol), the need for post-spinning treatment with ethylene glycol is eliminated. With this approach, 30-fold conductivity enhancements from 9 to 264 S cm−1 are achieved with respect to an untreated fiber. This one-step approach also demonstrates a significant enhancement in the redox properties of the fibers. These improvements are attributed to an improved molecular ordering of the PEDOT chains in the direction of the fiber axis and the consequential enrichment of linear (or expanded-coil like) conformation to preference bipolaronic electronic structures as evidenced by Raman spectroscopy, solid-state electron spin resonance (ESR) and in situ electrochemical ESR studies.

Numerical modeling and analysis for forming process of dual-phase 980 steel exposed to infrared local heating

A recent experiment confirmed that the infrared (IR) local heating method drastically reduces springback of dual-phase (DP) 980 sheets. In the experiment, only the plastic deformation zone of the sheets was locally heated using condensed IR heating. The heated sheets were then deformed by V-bending or 2D-draw bending. Although the experimental observation proved the merit of using the IR local heating to reduce springback, numerical modeling has not been reported. Numerical modeling has been required to predict springback and improve the understanding of the forming process. This paper presents a numerical modeling for V-bending and 2D-draw bending of DP 980 sheets exposed to the IR local heating with the finite element method (FEM). For describing the thermo-mechanical behavior of the DP 980 sheet, a flow stress model which includes a function of temperature and effective plastic strain was newly implemented into Euler-backward stress integration method. The numerical analysis shows that the IR local heating reduces the level of stress in the deformation zone, although it heats only the limited areas, and then it reduces the springback. The simulation also provides a support that the local heating method has an advantage of shape accuracy over the method to heat the material as a whole in V-bending. The simulated results of the springback in both V-bending and 2D-draw bending also show good predictions.

Studying mathematics teacher education: analysing the process of task variation on learning

Self-study of variations to task design offers a way of analysing how learning takes place. Over several years, variations were made to improve an assessment task completed by final-year teacher candidates in a primary mathematics teacher education subject. This article describes how alterations to a task informed on-going developments in self-study of one assessment task employed in an online subject. Analysis of my journal, notes from conversations with colleagues, teacher candidates’ work on the task and responses to online forums, and survey data inspired variations focused on better exploration of key concepts involved in the task, raising of focal awareness, developing a stronger professional eye in the students and the author, adaptations for multiple curriculum levels, and explorations of dual teacher–student perspectives. The overall challenge has been to support teacher candidates to learn to design effective open-ended tasks with a critical professional eye. Descriptions of the changes made to the task and the development of my own professional eye as a consequence of the application of self-study are included. Data show that variations to the task increased teacher candidates’ understanding of mathematics problem posing and generated pedagogical insights for task design.

Framing the socialisation process of the DBA candidate: what can universities offer and what should candidates bring?

In Australia, the Doctorate of Business Administration (DBA) remains a popular program but considerable anguish persists within the university sector over just what it is offering students. In this article, we use the process of postgraduate socialisation to understand how candidates, supervisors and administrators navigate pathways to successful completion and offering of a DBA program. We identify four modes of knowledge applicable to the DBA and suggest that universities and candidates may draw on one another’s cultural capital to determine which mode(s) can be offered. We also illustrate how candidates exercise agency through their cultural and social capital as they move through the program. We present a conceptual framework to help guide future research, and resource allocation on the DBA.

Stochastic optimization models for energy management in carbonization process of carbon fiber production

Industrial producers face the task of optimizing production process in an attempt to achieve the desired quality such as mechanical properties with the lowest energy consumption. In industrial carbon fiber production, the fibers are processed in bundles containing (batches) several thousand filaments and consequently the energy optimization will be a stochastic process as it involves uncertainty, imprecision or randomness. This paper presents a stochastic optimization model to reduce energy consumption a given range of desired mechanical properties. Several processing condition sets are developed and for each set of conditions, 50 samples of fiber are analyzed for their tensile strength and modulus. The energy consumption during production of the samples is carefully monitored on the processing equipment. Then, five standard distribution functions are examined to determine those which can best describe the distribution of mechanical properties of filaments. To verify the distribution goodness of fit and correlation statistics, the Kolmogorov-Smirnov test is used. In order to estimate the selected distribution (Weibull) parameters, the maximum likelihood, least square and genetic algorithm methods are compared. An array of factors including the sample size, the confidence level, and relative error of estimated parameters are used for evaluating the tensile strength and modulus properties. The energy consumption and N2 gas cost are modeled by Convex Hull method. Finally, in order to optimize the carbon fiber production quality and its energy consumption and total cost, mixed integer linear programming is utilized. The results show that using the stochastic optimization models, we are able to predict the production quality in a given range and minimize the energy consumption of its industrial process.

Framing the socialisation process of the DBA candidate : what can universities offer and what should candidates bring?

In Australia, the Doctorate of Business Administration (DBA) remainsa popular program but considerable anguish persists within theuniversity sector over just what it is offering students. In thisarticle, we use the process of postgraduate socialisation tounderstand how candidates, supervisors and administratorsnavigate pathways to successful completion and offering of a DBAprogram. We identify four modes of knowledge applicable to theDBA and suggest that universities and candidates may draw onone another’s cultural capital to determine which mode(s) can beoffered. We also illustrate how candidates exercise agencythrough their cultural and social capital as they move through theprogram. We present a conceptual framework to help guidefuture research, and resource allocation on the DBA.