Computer-aided engineering for sheet metal forming: definition of a springback quality function

Computer-aided engineering methods are extensively applied to sheet metal forming integrated design. The adoption of a new class of materials, the advanced high strength steels, has increased the occurrence of springback, and consequently the request for tools oriented to springback reduction and optimization. This paper presents an approximated formulation to compute the springback field after stamping through the finite element analysis of the process. This can be found assuming that the residual field of nodal forces after stamping produces a springback shape referable to a linear combination of n modes of vibration of the nominal shape of the component. The aim of this formulation is not that of substituting the finite element analysis of the springback but rather to make use of the coefficients of the linear combination, so to define a global quality function for springback. In this way, Robust Design methods or other current optimization procedures to improve the stamping process as for structural defects (such wrinkling, necking and flatness) can be applied also for the reduction of springback. The meaning of these coefficients will be shown through three test cases and the consistency of the formulation will be discussed according to the number of modes of vibration included in the computation.     

Discontinuities and hysteresis in quantized average consensus

We consider continuous-time average consensus dynamics in which the agents’ states are communicated through uniform quantizers. Solutions to the resulting system are defined in the Krasowskii sense and are proven to converge to conditions of “practical consensus”. To cope with undesired chattering phenomena we introduce a hysteretic quantizer, and we study the convergence properties of the resulting dynamics by a hybrid system approach.     

A little thanks goes a long way: Explaining why gratitude expressions motivate prosocial behavior.

Although research has established that receiving expressions of gratitude increases prosocial behavior, little is known about the psychological mechanisms that mediate this effect. We propose that gratitude expressions can enhance prosocial behavior through both agentic and communal mechanisms, such that when helpers are thanked for their efforts, they experience stronger feelings of self-efficacy and social worth, which motivate them to engage in prosocial behavior. In Experiments 1 and 2, receiving a brief written expression of gratitude motivated helpers to assist both the beneficiary who expressed gratitude and a different beneficiary. These effects of gratitude expressions were mediated by perceptions of social worth and not by self-efficacy or affect. In Experiment 3, we constructively replicated these effects in a field experiment: A manager's gratitude expression increased the number of calls made by university fundraisers, which was mediated by social worth but not self-efficacy. In Experiment 4, a different measure of social worth mediated the effects of an interpersonal gratitude expression. Our results support the communal perspective rather than the agentic perspective: Gratitude expressions increase prosocial behavior by enabling individuals to feel socially valued. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Building a community among teachers, researchers and university students. A blended approach to training

In this paper we present a case study about a community of practice’s foundation and development among Italian teachers, researchers and university students who participated in a European project aimed at developing and testing innovative pedagogical models and technologies for collaborative knowledge building. Forty-five people (34 teachers, five researchers and six university students) participated in the community of adults that interacted for a school year both face to face and online. We analyzed interactions in order to study the roles, forms and distribution of participation in that community, and the content of teachers’ reflections about the activity. The analysis focuses particularly on different modalities of participation between expert teachers (involved in the project from the beginning) and novices, novice and expert being treated as relevant dimensions according to Wenger’s model. Conversations were transcribed and a qualitative analysis of face-to-face and online discussion performed. The diversity of roles and different modalities of participation between social factors involved in the community, in particular between novice and expert teachers, emerged from the analysis. In final focus groups, teachers underlined innovative potentialities as well as difficulties related to computer-supported collaborative learning, both in classroom activities and in teacher training. In these final focus groups, novice teachers participated in the community, becoming more competent and conscious partners in shared planning with the expert teachers.     

Differential expression of AQP1 in microdomain-enriched membranes of renal cell carcinoma

Human aquaporin-1 (AQP1) is the most studied member of the aquaporin family, acting as molecular water channel. It is also considered a differentiation marker for proximal renal tubular cells, from which clear cells renal cell carcinoma (RCC) originates, playing an important role in urine formation. We therefore studied AQP1 expression at the proteomic level in RCC and normal tissues, mainly focusing on microdomain-enriched membranes in which AQP1 is highly concentrated. Subcellular fractions were prepared through differential centrifugation, and microdomain-enriched fractions were purified from a plasma membrane-enriched fraction by 1% Triton X-100 treatment followed by ultracentrifugation in sucrose gradient. After SDS-PAGE and Western blot analyses with antibodies against AQP1, lower expression levels of AQP1 isoforms were observed in each subcellular fraction of RCC compared to fractions from normal kidney tissues. The presence of AQP1 in the immunoreactive bands was verified by MALDI-TOF-MS and LC-ESI-MS/MS analysis. Glycosylation of AQP1 was also investigated using N-glycosidase F, confirming the presence of a N-glycosylated isoform of AQP1 in the 35-45-kDa region. These results highlight an under-expression of AQP1 protein and its glycosylated isoforms in homogenate and subcellular fraction obtained from RCC tissue compared to adjacent normal cortex.     

A tour of secure software engineering solutions for connected vehicles

The growing number of vehicles daily moving on roads increases the need of protecting the safety and security of passengers, pedestrians, and vehicles themselves. This need is intensified when considering the pervasive introduction of Information and Communication Technologies (ICT) systems into modern vehicles, because this makes such vehicles potentially vulnerable from the point of view of security. The convergence of safety and security requirements is one of the main outstanding research challenges in software-intensive systems. This work reviews existing methodologies and solutions addressing security issues in the automotive domain with a focus on the integration between safety and security aspects. In particular, we identify the main security issues with vehicular communication technologies and existing gaps between state-of-the-art methodologies and their implementation in the real world. Starting from a literature survey and referring to widely accepted standards of the domain, such as AUTOSAR and ISO 26262, we discuss research challenges and set baselines for a holistic secure-by-design approach targeting safety and security aspects all along the different phases of the development process of automotive software.     

MIMOSA: context-aware adaptation for ubiquitous web access

The ubiquitous computing scenario is characterized by heterogeneity of devices used to access services, and by frequent changes in the user’s context. Hence, adaptation according to the user’s context and the used devices is necessary to allow mobile users to efficiently exploit Internet-based services. In this paper, we present a distributed framework, named MIMOSA, that couples a middleware for context-awareness with an intermediary-based architecture for content adaptation. MIMOSA provides an effective and efficient solution for the adaptation of Internet services on the basis of a comprehensive notion of context, by means of techniques for aggregating context data from distributed sources, deriving complex contextual situations from raw sensor data, evaluating adaptation policies, and solving possible conflicts. The middleware allows programmers to modularly build complex adaptive services starting from simple ones, and includes tools for assisting the user in declaring her preferences, as well as mechanisms for detecting incorrect system behaviors due to a wrong choice of adaptation policies. The effectiveness and efficiency of MIMOSA are shown through the development of a prototype adaptive service, and by extensive experimental evaluations.     

An Analysis of Language in University Students' Text Messages

Concerns over effects of ‘textisms’ on literacy have been reinforced by research identifying processing costs associated with reading textisms. But to what extent do such studies reflect actual textism use? This study examined the textual characteristics of 936 text messages in English (13391 words). Message length, nonstandard spelling, sender and message characteristics and word frequency were analyzed. The data showed that 25% of word content used nonstandard spelling, the most frequently occurring category involving omission of capital letters. Types of nonstandard spelling varied only slightly depending on the purpose of the text message, while the overall proportion of nonstandard spelling did not differ significantly. Less than 0.2% of content was ‘semantically unrecoverable.’ Implications for experimental studies of textisms are discussed.     

Model for Estimating Evaporation and Transpiration from Row Crops

Accurate estimates of crop evapotranspiration ETc, that quantify the total water used by a crop, are needed to optimize irrigation scheduling for horticultural crops and to minimize water degradation. During early growth, accurate assessments of ETc are difficult in vegetable crops because of high soil evaporation due to frequent irrigation. A model to estimate ETc for vegetable crops, using only daily reference evapotranspiration data as an input parameter, was developed. It calculates crop transpiration and soil evaporation based on ground cover and daily radiation intercepted by the canopy. The model uses a two-stage soil evaporation method adapted to conditions of variable reference evapotranspiration. The model was evaluated against data using measurements from two seasons of lettuce crop, two tomato fields in the same season, and one season of broccoli crop production. Using all of the crop data, the root-mean-square error for measured versus modeled daily ETc was 0.72 mm day?1, indicating that the model works well.