Evaluation of stresses in a combined plane strain-simple shear test

A biaxial testing device for sheet metal has been developed that can impose a combination of\ud plane strain and simple shear deformation. The specimen has a large width to height ratio and a small height\ud to thickness ratio. The forces in tensile and shear direction are easily measured and the tensile stress and shear\ud stress can easily be derived. For a full description of stresses, however, the stress in lateral direction should also\ud be known. This stress is a result of the constraint, imposed by the large width to height ratio and cannot be\ud measured directly. The strain in the specimen is measured on the surface. By imposing the Drucker normality\ud principle, the direction of the tangent to the yield surface is known and the unknown stress increment in lateral\ud direction can be obtained. Computer simulations are performed to test whether the intended approach can\ud recalculate all stress components from measurement of 3 in-plane strains and just 2 stresses. Without hardening,\ud good results are obtained for a complete interval between the pure shear point up to a point between uniaxial\ud stress and the plane strain point on the yield locus. With hardening, the algorithm requires a lot of data points\ud to avoid drifting from the exact solution. It is noted that, although the normality rule is used, it is not necessary\ud to have an a-priori knowledge of the yield functio

Sensemaking from Actions

This study presents a method to establish empirically what drives organization members in their day-to-day behavior. The method starts from the sense employees make of their own actions. The approach consists of two steps: qualitative laddering interviews to determine the most central means and ends that play a role in the sensemaking of organization members, and a follow-up survey to examine in depth the organizational means-end structure. The method was validated by relating the results to independently observed indicators of what guides organization members in their behavior. Apart from the deeper insight it provides in the forces that drive day-to-day behavior in an organization, the method also provides management with a practical tool for addressing employee motivation and for developing credible communication toward stakeholders.employee motivation;laddering;means-end analysis;organizational action;sensemaking

Improvement in pig growth and feed conversion due to knowledge transfer about disease prevention and improving immune response

The ability of pigs to avoid illness can be influenced by pig farmers via management measures which prevent stress and introduction and spread of diseases. A training program consisting of three meetings, was developed to achieve more consciousness at pig farmers about their influence on disease prevention and the immune response of their pigs. We tested the effect of the training program on the average daily gain in weight, feed conversion, the mean percentage of lymphocytes and I-FABP values

The CSR-Quality Trade-off: When Can Corporate Social Responsibility and Corporate Ability Compensate Each Other?

This paper investigates under what conditions a good corporate social responsibility (CSR) can compensate for a relatively poor corporate ability (CA) (quality), and vice versa. The authors conducted an experiment among business administration students, in which information about a financial services company’s CA and CSR was provided. Participants indicated their preferences for the company’s products, stocks, and jobs. The results show that for stock and job preferences, a poor CA can be compensated by a good CSR. For product preferences, a poor CA could not be compensated by a good CSR, at least when people thought that CA is personally relevant to them. Furthermore, a poor CSR could be compensated by a good CA for product, stocks, and job preferences

Sensemaking from Actions

This study presents a method to establish empirically what drives organization members in their day-to-day behavior. The method starts from the sense employees make of their own actions. The approach consists of two steps: qualitative laddering interviews to determine the most central means and ends that play a role in the sensemaking of organization members, and a follow-up survey to examine in depth the organizational means-end structure. The method was validated by relating the results to independently observed indicators of what guides organization members in their behavior. Apart from the deeper insight it provides in the forces that drive day-to-day behavior in an organization, the method also provides management with a practical tool for addressing employee motivation and for developing credible communication toward stakeholders

Targeted experiment design using the posterior predictive distribution

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Optimal experiment design for model selection of biochemical networks

Background Mathematical modeling is often used to formalize hypotheses on how a biochemical network operates by discriminating between competing models. Bayesian model selection offers a way to determine the amount of evidence that data provides to support one model over the other while favoring simple models. In practice, the amount of experimental data is often insufficient to make a clear distinction between competing models. Often one would like to perform a new experiment which would discriminate between competing hypotheses. Results We developed a novel method to perform Optimal Experiment Design to predict which experiments would most effectively allow model selection. A Bayesian approach is applied to infer model parameter distributions. These distributions are sampled and used to simulate from multivariate predictive densities. The method is based on a k-Nearest Neighbor estimate of the Jensen Shannon divergence between the multivariate predictive densities of competing models. Conclusions We show that the method successfully uses predictive differences to enable model selection by applying it on several test cases. Because the design criterion is based on predictive distributions and such distributions can be computed for a wide range of model quantities, the approach is very flexible. The method reveals specific combinations of experiments which improve discriminability even in cases where data is scarce. The proposed approach can be used in conjunction with existing Bayesian methodologies where (approximate) posteriors have been determined, making use of relations that exist within the inferred posteriors

Еліпсис – один із найважливіших шляхів поповнення складу мінімальних фразеологічних одиниць

Стаття присвячена актуальній науковій проблемі, пов'язаній із аналізом спеціального фрагмента фразеологічного корпусу української мови - мінімальним ідіомам. Описуються два види фразеологічного еліпсиса.Статья посвящена актуальной научной проблеме, связанной с анализом специального фрагмента фразеологического корпуса украинского языка - минимальным идиомам. Описываются два вида фразеологического элипсиса.The article is dedicated to the scientific actual problem, connected with the analysis of special fragment in phraseological structure of the Ukrainian language - minimal idioms. Two types of phraseological ellipsis described