Target adjustment and self-other agreement: Utilizing trait observability to disentangle judgeability and self-knowledge.

Are well-adjusted individuals good targets or accurate self-judges? Across two round-robin studies, the current research first demonstrates that well-adjusted individuals' personalities are viewed with greater distinctive self-other agreement by new acquaintances. Is this enhanced self-other agreement a function of greater judgeability, improving others' ability to form an accurate impression? Or is it a function of greater self-knowledge, having a more accurate impression about oneself? By examining the relationship between psychological adjustment and self-other agreement as a function of trait observability, it becomes clear that psychological adjustment fosters self-other agreement through judgeability more so than through self-knowledge. Specifically, well-adjusted individuals provide new acquaintances with greater information regarding their less observable traits, enhancing others' knowledge and thus distinctive self-other agreement. This effect was replicated with close informant-other agreement, indicating that the well-adjusted individual's tendency to make his or her less visible traits more accessible to others allows those who just met the target to agree better with people who know the target well. In sum, although well-adjusted individuals are in part good self-judges, it is their greater judgeability that seems most critical in enhancing self-other agreement in first impressions. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Perceptual adaptation to sinewave-vocoded speech across languages.

Listeners rapidly adapt to many forms of degraded speech. What level of information drives this adaptation, however, remains unresolved. The current study exposed listeners to sinewave-vocoded speech in one of three languages, which manipulated the type of information shared between the training languages (German, Mandarin, or English) and the testing language (English) in an audio-visual (AV) or an audio plus still frames modality (A + Stills). Three control groups were included to assess procedural learning effects. After training, listeners' perception of novel sinewave-vocoded English sentences was tested. Listeners exposed to German-AV materials performed equivalently to listeners exposed to English AV or A + Stills materials and significantly better than two control groups. The Mandarin groups and German-A + Stills group showed an intermediate level of performance. These results suggest that full lexical access is not absolutely necessary for adaptation to degraded speech, but providing AV-training in a language that is similar phonetically to the testing language can facilitate adaptation. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Misunderstanding the affective consequences of everyday social interactions: The hidden benefits of putting one's best face forward.

Positive self-presentation may have beneficial consequences for mood that are typically overlooked. Across a series of studies, participants underestimated how good they would feel in situations that required them to put their best face forward. In Studies 1 and 2A, participants underestimated the emotional benefits of interacting with an opposite sex stranger versus the benefits of interacting with a romantic partner. In Study 2B, participants who were instructed to engage in self-presentation felt happier after interacting with their romantic partner than participants who were not given this instruction, although other participants serving as forecasters did not anticipate such benefits. Increasing the generalizability of this self-presentation effect across contexts, the authors demonstrated that participants also underestimated how good they would feel before and after being evaluated by another person (Studies 3 and 4). This failure to recognize the affective benefits of putting one's best face forward may underlie forecasting errors regarding the emotional consequences of the most common forms of social interactions. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Rates of Trace Mineral-Catalyzed Decomposition of Hydrogen Peroxide

Rapid hydrogen peroxide (H2O2) decomposition is a significant limitation of catalyzed H2O2 propagations (i.e., modified Fenton’s reagent) for the remediation of contaminated soil and groundwater by in situ chemical oxidation. Rates of H2O2 decomposition mediated by seven trace minerals and four iron and manganese oxides were evaluated in batch reactors containing slurries of H2O2 and each of 11 minerals. At pH 3, the dominant catalysts in the decomposition of H2O2 on a per surface area basis were the manganese and iron oxides pyrolusite, goethite, and hematite, while decomposition rates in the presence of the manganese oxyhydroxide manganite and the trace mineral siderite were one to two orders of magnitude lower. At pH 7, the dominant catalysts were hematite and pyrolusite, and decomposition rates were one to two orders of magnitude lower in the presence of goethite, manganite, and siderite. The trace minerals anatase, bauxite, cuprite, ilmenite, magnesite, and willemite provided the least activity for decomposing H2O2 at both pH regimes. The results of this study document that the trace minerals anatase, bauxite, cuprite, ilmenite, magnesite, siderite, and willemite do not provide a significant pathway for H2O2 decomposition in the subsurface, and efforts to stabilize H2O2 for ISCO should focus on reactions occurring on the surfaces of iron and manganese oxides.     

A language for generic programming in the large

Generic programming is an effective methodology for developing reusable software libraries. Many programming languages provide generics and have features for describing interfaces, but none completely support the idioms used in generic programming. To address this need we developed the language G. The central feature of G is the concept, a mechanism for organizing constraints on generics that is inspired by the needs of modern C++ libraries. G provides modular type checking and separate compilation (even of generics). These characteristics support modular software development, especially the smooth integration of independently developed components. In this article we present the rationale for the design of G and demonstrate the expressiveness of G with two case studies: porting the Standard Template Library and the Boost Graph Library from C++ to G. The design of G shares much in common with the concept extension proposed for the next C++ Standard (the authors participated in its design) but there are important differences described in this article.     

Learning from others within the landscape of “transitional economies” and the challenge in ICT development for African countries

This paper presents the experience of good practices and bench learning in the EU for sustainable development in transitional economies. In exploring key issues of ICT development for economic growth in African countries, it will showcase how information and experience from different geographical/economic sectors within the EU have been collated into a comprehensive knowledge system, and shared among users, using both electronic and traditional methods—see The BEEP Project . It will then discuss how this good practice model could be developed further as a Pan-African Initiative, as part of the IST Africa Programme for participating countries, to enable them share experience and information in their attempt to narrow the digital divide for sustainable growth.

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Prediction of forearm muscle activity during gripping

Occupational exposure is typically assessed by measuring forces and body postures to infer muscular loading. Better understanding of workplace muscle activity levels would aid in indicating which muscles may be at risk for overexertion and injury. However, electromyography collection in the workplace is often not practical. Therefore, a set of equations was developed and validated using data from two separate days to predict forearm muscle activity (involving six wrist and finger muscles) from grip force and posture of the wrist (flexed, neutral and extended) and forearm (pronated, neutral, supinated). The error in predicting activation levels of each forearm muscle across the range of grip forces, using the first day data (root mean square error; RMSEmodel), ranged from 8.9% maximal voluntary electrical activation (MVE) (flexor carpi radialis) to 11% MVE (extensor digitorum communis). Grip force was the main contributor to predicting muscle activity levels, explaining over 70% of the variance in flexor activation levels and up to 60% in extensor activation levels, respectively. Inclusion of gender as a variable in the model improved estimates of flexor but not extensor activity. While posture itself explained minimal variance in activation without grip force (< 10% MVE), wrist and forearm posture were required (with grip force) to explain over 70% of the variance of all six muscles. The validation process indicated good day-to-day reliability of each equation, with similar error for flexor muscle models but slightly higher error in the extensor models when predicting activity levels for the second day of data (RMSEvalid ranging from 8.9% to 12.7% MVE). Detailed error analysis during validation revealed that inclusion of posture in the model effectively decreased error at grip forces above 25% maximum, but was detrimental at very low grip forces. This study presents a potential new tool to estimate forearm muscle loading in the workplace using grip force and posture, as a surrogate to use of a complex biomechanical model.     

PEPA Queues: Capturing Customer Behaviour in Queueing Networks

Queueing network formalisms are very good at describing the spatial movement of customers, but typically poor at describing how customers change as they move through the network. We present the PEPA Queues formalism, which uses the popular stochastic process algebra PEPA to represent the individual state and behaviour of customers and servers. We offer a formal semantics for PEPA Queues, plus a direct translation to PEPA, allowing access to the existing tools for analysing PEPA models. Finally, we use the ipc/DNAmaca tool-chain to provide passage-time analysis of a dual Web server example.     

A 4 μW dual-modulus frequency divider with 198 % locking range for MICS band applications

This paper presents the design and performance of an ultra-low-power 4/5 frequency divider based on a CMOS ring oscillator. Measurements show a 198 % locking range (6 MHz–1.3 GHz) for both division ratios at room temperature, covering the MICS band and 433 and 915 MHz ISM bands while consuming only 4.07 μW from a 1 V supply at 400 MHz. The wide locking range and low power consumption makes it very suitable for ultra-low-power wireless systems. The divider is fabricated in a 90 nm CMOS process and occupies 45 μm² of area.