Callings in career: A typological approach to essential and optional components

A sense of calling in career is supposed to have positive implications for individuals and organizations but current theoretical development is plagued with incongruent conceptualizations of what does or does not constitute a calling. The present study used cluster analysis to identify essential and optional components of a presence of calling among 407 German undergraduate students from different majors. Three types of calling merged: "negative career self-centered", "pro-social religious", and "positive varied work orientation". All types could be described as vocational identity achieved (high commitment/high self-exploration), high in career confidence and career engagement. Not defining characteristics were centrality of work or religion, endorsement of specific work values, or positivity of core self-evaluations. The results suggest that callings entail intense self-exploration and might be beneficial because they correspond with identity achievement and promote career confidence and engagement while not necessarily having pro-social orientations. Suggestions for future research, theory and practice are suggested.

Report of the Workshop on Intelligent Construction for Earthworks: April 14-16, 2009

The objectives of this workshop were to update the strategies identified during the 2008 workshop; provide a collaborative exchange of ideas and experiences; share research results; increase participants' knowledge; develop research, education, and implementation initiatives for intelligent compaction (IC) and automated machine guidance (AMG) technologies; and develop strategies to move forward. The 2 1/2 day workshop was organized as follows: Day 1: Review of 2008 workshop proceedings, technical presentations on IC and AMG technologies, and participating state department of transportation (DOT) briefings. Day 2: Industry/equipment manufacturer presentations and breakout interactive sessions on three topic areas. Day 3: Breakout session summary reporting and panel discussion involving state DOT, contractor, and industry representatives. The results of the breakout sessions on day 2 were analyzed to identify the priorities for advancement in each of the three topic areas. Key issues for each topic were prioritized by reviewing the recorder's notes in detail, finding common topics among sessions, and summarizing the participant votes.

Report of the 4th Workshop for Technology Transfer for Intelligent Compaction Consortium, TPF-5(233), 2015

This document summarizes the discussion and findings of the 4th workshop held on October 27–28, 2015 in Frankfort, Kentucky as part of the Technology Transfer Intelligent Compaction Consortium (TTICC) Transportation Pooled Fund (TPF-5(233)) study. The TTICC project is led by the Iowa Department of Transportation (DOT) and partnered by the following state DOTs: California, Georgia, Iowa, Kentucky, Missouri, Ohio, Pennsylvania, Virginia, and Wisconsin. The workshop was hosted by the Kentucky Transportation Cabinet and was organized by the Center for Earthworks Engineering Research (CEER) at Iowa State University of Science and Technology. The objective of the workshop was to generate a focused discussion to identify the research, education, and implementation goals necessary for advancing intelligent compaction for earthworks and asphalt. The workshop consisted of a review of the TTICC goals, state DOT briefings on intelligent compaction implementation activities in their state, voting and brainstorming sessions on intelligent compaction road map research and implementation needs, and identification of action items for TTICC, industry, and Federal Highway Administration (FHWA) on each of the road map elements to help accelerate implementation of the technology. Twenty-three attendees representing the state DOTs participating in this pooled fund study, the FHWA, Iowa State University, University of Kentucky, and industry participated in this workshop.

Life designing: A paradigm for career construction in the 21st century

At the beginning of the 21st century, a new social arrangement of work poses a series of questions and challenges to scholars who aim to help people develop their working lives. Given the globalization of career counseling, we decided to address these issues and then to formulate potentially innovative responses in an international forum. We used this approach to avoid the difficulties of creating models and methods in one country and then trying to export them to other countries where they would be adapted for use. This article presents the initial outcome of this collaboration, a counseling model and methods. The life-designing model for career intervention endorses five presuppositions about people and their work lives: contextual possibilities, dynamic processes, non-linear progression, multiple perspectives, and personal patterns. Thinking from these five presuppositions, we have crafted a contextualized model based on the epistemology of social constructionism, particularly recognizing that an individual's knowledge and identity are the product of social interaction and that meaning is co-constructed through discourse. The life-design framework for counseling implements the theories of self-constructing [Guichard, J. (2005). Life-long self-construction. International Journal for Educational and Vocational Guidance, 5, 111-124] and career construction [Savickas, M. L. (2005). The theory and practice of career construction. In S. D. Brown & R. W. Lent (Eds.), Career development and counselling: putting theory and research to work (pp. 42-70). Hoboken, NJ: Wiley] that describe vocational behavior and its development. Thus, the framework is structured to be life-long, holistic, contextual, and preventive.

Utilisation of Statistics in Intelligent Web Applications

Web-portaalien aiheenmukaista luokittelua voidaan hyödyntää tunnistamaan käyttäjän kiinnostuksen kohteet keräämällä tilastotietoa hänen selaustottumuksistaan eri kategorioissa. Tämä diplomityö käsittelee web-sovelluksien osa-alueita, joissa kerättyä tilastotietoa voidaan hyödyntää personalisoinnissa. Yleisperiaatteet sisällön personalisoinnista, Internet-mainostamisesta ja tiedonhausta selitetään matemaattisia malleja käyttäen. Lisäksi työssä kuvaillaan yleisluontoiset ominaisuudet web-portaaleista sekä tilastotiedon keräämiseen liittyvät seikat.

Development of Paperboard Forming Tools with a Focus on Intelligent Manufacturing

Tämä diplomityö käsittelee kartonginmuovaukseen käytettävien puristintyökalujen kehittämistä. Työntavoitteina oli kehittää työkalutekniikan suunnittelua ja valmistusta edullisemmaksi, nopeammaksi ja työkaluja toiminnoiltaan tehokkaammiksi. Työn tuli sisältää myös ohjeet työkalujen suunnittelemiseksi ja valmistamiseksi jatkoa ajatellen. Työn aikana selvitettiin mahdollisia työkalurakennevaihtoehtoja, valmistusmateriaaleja sekä niiden käsittelymenetelmiä ja lastuamista sekä sen tarjoamia mahdollisuuksia valmistusmenetelmänä. Työkalupari suunniteltiin modulaariseksi siten, että uusia työkaluja varten vain osa komponenteista täytyy valmistaa uudelleen, samalla työkalun osien lukumäärää pienennettiin merkittävästi. Valmistusmateriaaliksi valittiin hyvin lastuttava työkaluteräs ja sen koneistaminen tapahtui vaakakaraisessa koneistuskeskuksessa. Työn loppuvaiheessa työkalukokonaisuudelle tehtiin kustannuslaskelma jaoteltuna eri työvaiheille sekä komponenteittain. Työkalu asennettiin puristimeen ja sille suoritettiin käyttötestaus. Työn aikana karttuneen kokemuksen sekä koekäytön perusteella tehtiin jatkokehitysehdotuksia.

Validation of an Adapted French Form of the Career Adapt-Abilities Scale in four Francophone Countries

This study presents the validation of a French version of the Career Adapt-Abilities Scale in four Francophone countries. The aim was to re-analyze the item selection and then compare this newly developed French-language form with the international form 2.0. Exploratory factor analysis was used as a tool for item selection, and confirmatory factor analysis (CFA) verified the structure of the CAAS French-language form. Measurement equivalence across the four countries was tested using multi-group CFA. Adults and adolescents (N=1,707) participated from Switzerland, Belgium, Luxembourg, and France. Items chosen for the final version of the CAAS French-language form are different to those in the CAAS international form 2.0 and provide an improvement in terms of reliability. The factor structure is replicable across country, age, and gender. Strong evidence for metric invariance and partial evidence for scalar invariance of the CAAS French-language form across countries is given. The CAAS French-language and CAAS international form 2.0 can be used in a combined form of 31 items. The CAAS French-language form will certainly be interesting for practitioners using interventions based on the life design paradigm or aiming at increasing career adapt-ability.

The psychometric properties of the WAI in a career counseling setting: Comparison with a personal counseling sample

This study investigated the psychometric properties of the Working Alliance Inventory-Client version (WAI-C) and Working Alliance Inventory-Short and revised (WAI-SR) in a career counseling setting. Moreover, it compared the impact of career versus personal counseling settings based on results obtained using the WAI-SR. Subjects were 188 French-speaking career counseling clients and 95 French-speaking personal counseling clients, mainly students. For the career counseling sample, total reliability was .87 for the WAI-C and .76 for the WAI-SR. The shape of the distribution was normal but the variance was significantly lower for the career counseling sample. Exploratory factor analyses (EFAs) and confirmatory factor analyses (CFAs) confirmed the presence of an overall working alliance factor but indicated a clearer hierarchical structure for the WAI- SR than for the WAI-C. The psychometric properties seemed only slightly affected by the counseling setting, suggesting that this inventory is also relevant for career counseling, especially the WAI-SR, which has a more robust factorial structure.

Artificially Intelligent and Adaptive Methods for Prediction and Analysis of Superheater Fireside Corrosion in Fluidized Bed Boilers

Superheater corrosion causes vast annual losses for the power companies. With a reliable corrosion prediction method, the plants can be designed accordingly, and knowledge of fuel selection and determination of process conditions may be utilized to minimize superheater corrosion. Growing interest to use recycled fuels creates additional demands for the prediction of corrosion potential. Models depending on corrosion theories will fail, if relations between the inputs and the output are poorly known. A prediction model based on fuzzy logic and an artificial neural network is able to improve its performance as the amount of data increases. The corrosion rate of a superheater material can most reliably be detected with a test done in a test combustor or in a commercial boiler. The steel samples can be located in a special, temperature-controlled probe, and exposed to the corrosive environment for a desired time. These tests give information about the average corrosion potential in that environment. Samples may also be cut from superheaters during shutdowns. The analysis ofsamples taken from probes or superheaters after exposure to corrosive environment is a demanding task: if the corrosive contaminants can be reliably analyzed, the corrosion chemistry can be determined, and an estimate of the material lifetime can be given. In cases where the reason for corrosion is not clear, the determination of the corrosion chemistry and the lifetime estimation is more demanding. In order to provide a laboratory tool for the analysis and prediction, a newapproach was chosen. During this study, the following tools were generated: · Amodel for the prediction of superheater fireside corrosion, based on fuzzy logic and an artificial neural network, build upon a corrosion database developed offuel and bed material analyses, and measured corrosion data. The developed model predicts superheater corrosion with high accuracy at the early stages of a project. · An adaptive corrosion analysis tool based on image analysis, constructedas an expert system. This system utilizes implementation of user-defined algorithms, which allows the development of an artificially intelligent system for thetask. According to the results of the analyses, several new rules were developed for the determination of the degree and type of corrosion. By combining these two tools, a user-friendly expert system for the prediction and analyses of superheater fireside corrosion was developed. This tool may also be used for the minimization of corrosion risks by the design of fluidized bed boilers.