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Reading comprehension levels of elementary students have not significantly improved in the twenty-first century, and, as a result, the need for systematic and intensive reading interventions is as high as ever. Literacy clinics are an ideal setting for struggling readers to experience success through the implementation of a cyclical approach to individual assessment, planning, instruction and evaluation. Yet, additional research is needed to create current and relevant models of literacy clinics for today’s diverse learners. This paper aimed to measure the effects of an experimental approach to reading comprehension instruction for third graders within an off-campus literacy clinic; the intervention involved a scope and sequence of comprehension strategies in which students had to demonstrate skill mastery before progressing to the next skill.

This investigation used a classic controlled experiment design by randomly assigning half of the literacy clinic participants (30) to either a control or experimental group. The previous year-end’s Criterion-Referenced Competency Test (CRCT) scores of the participants were used as indicators (or base lines) of each participant’s preexisting level of reading achievement.

There was a statistically higher achievement rate in the experimental group as measured by the CRCT statewide assessment with a Cohen’s effect size value (d = 0.79) suggested a moderate to high practical significance.

This study’s findings are relevant to those involved in literacy remediation, including literacy clinic directors, preservice educators and curriculum directors.

This paper is one of a kind in that it is the first to trial a scope and sequence of evidence-based comprehension strategies for comprehension improvement in primary school students. The findings call for major changes to thinking about how we improve students’ reading skills by focusing on depth rather than breadth.

How do ego-networks evolve? How does such evolution affect firms’ innovation output? This chapter uses a longitudinal sample of firms in the biotechnology industry to address these questions. We use social network theory to develop a model of the structure and dynamics of firms’ interorganizational research collaboration ego-networks. Using novel longitudinal methods, this chapter demonstrates how research collaboration ego-networks in the biotechnology industry change over time and how this evolution affects focal firms’ subsequent innovative output. The model is tested on a sample of 482 biotechnology firms over a span of 17 years (1990–2006). The results indicate the significant impacts of ego-network size, ego-network growth, and the inclusion of new members in the ego-network on the innovation output of biotechnology firms. Our results also suggest that enlarging ego-networks by adding new and diverse members presents significant management challenges.

THE first part of Professor Duncan Dowson's paper (March/April issue) dwelt on late 19th century development of machinery outstripping the performance of available lubricants. Contemporary lubricant research, and personalities involved, where described, leading to the concept of fluid‐film lubrication, documented by Professor Osborne Reynolds' paper read to the Royal Society in 1886.

The purpose of this paper is to apply the concept of equivalent initial flaw size (EIFS) to the anisotropic nickel-based single crystal (SX) material, and to predict the fatigue life on this basis. The crack propagation law of SX material at different temperatures and the weak correlation of EIFS values verification under different loading conditions are also investigated.

A three-parameter time to crack initial (TTCI) method with multiple reference crack lengths under different loading conditions is established, which include the TTCI backstepping method and EIFS fitting method. Subsequently, the optimized EIFS distribution is obtained based on the random crack propagation rate and maximum likelihood estimation of median fatigue life. Then, an effective driving force based on anisotropic and mixed crack propagation mode is proposed to describe the crack propagation rate in the small crack stage. Finally, the fatigue life of three different temperature ESE(T) standard specimens is predicted based on the EIFS values under different survival rates.

The optimized EIFS distribution based on EIFS fitting - maximum likelihood estimation (MLE) method has the highest accuracy in predicting the total fatigue life, with the range of EIFS values being about [0.0028, 0.0875] (mm), and the mean value of EIFS being 0.0506 mm. The error between the predicted fatigue life based on the crack propagation rate and EIFS distribution for survival rates ranges from 5% to 95% and the experimental life is within two times dispersion band.

This paper systematically proposes a new anisotropic material EIFS prediction method, establishing a framework for predicting the fatigue life of SX material at different temperatures using fracture mechanics to avoid inaccurate anisotropic constitutive models and fatigue damage accumulation theory.

This paper aims to determine the potential for the spread of bacteria from raw meat and poultry during home food preparation to the surrounding kitchen environment, hands and prepared food due to unsafe handling practices, which are predicted by consumers' knowledge, behaviour and attitudes.

The potential for transfer of E.coli and C. jejuni was monitored in a simulated domestic kitchen environment while food preparation was filmed (n=60 respondents). A survey was also administered.

The results of the study show that transfer of bacteria around the kitchen environment and onto prepared meals are predicted by a lack of thoroughly washing contaminated hands, knives and chopping boards both during and after meal preparation. A higher level of perceived importance of correct food handling behaviour is associated with higher levels of educational attainment and age and food risk perceptions are positively associated with age.

The results highlight the importance of promoting preventative measures and the means of employing them specifically to the young and less educated public who do not frequently cook and prepare food.

This paper is the first to include a verifiable audit of consumer food safety behaviour, microbiological sampling of surfaces, food and hands as well as a consumer survey of knowledge, behaviour and attitudes.

Relationships are socially constructed by companies in interaction. This study explains the dynamic character of business-to-business relationships with the aid of rules theory, a theory borrowed from the communications field. Two forms of rules are identified: constitutive rules guide the interpretation of the other's acts, and regulative rules guide the appropriate response to the interpreted act. Rules theory asserts that companies act as if applying these rules. Relationships provide not only the context in which the parties’ acts are performed but are also the result of such acts. Thus, relationships are potentially reshaped each time one party performs an act and the other party gives meaning to that act and reacts.

This paper exposes the development of markets-as-networks theory from formal inception in the mid-1970s until 2010 state-of-the-art, en route presenting its historical roots. This largely European-based theory challenges the conventional, dichotomous view of the business world as including firms and markets, arguing for the existence of relational governance structures (the so-called “interfirm cooperation”) in addition to hierarchical and transactional ones.

The intention is to introduce the conceptual framework proposed by Brown, Odom, and Conroy (2001) for the implementation of social interaction intervention. This tiered system organizes intervention strategies for early childhood professionals to make informed decision on how to promote social interactions of young children who are at risk for social competence difficulties in inclusive early childhood programs.

Additive manufacturing (AM) enables the production of lightweight parts with complex shapes and small dimensions. Recent improvements in AM techniques have allowed a significant growth of AM for industrial applications. In particular, AM is suitable for the production of materials shaped in lattice, which are very attractive for their lightweight design and their multi-functional properties. AM parts are often characterised by geometrical imperfections, residual porosity, high surface roughness which typically lead to stress/strain localisations and decreasing the resistance of the structure. This paper aims to focus on the study of the effects of geometrical irregularities and stress concentrations derived from them.

In this paper, several technique were combined: 3D tomography, experimental tests, digital image correlation and finite elements (FE) models based on both the as-designed and the as-manufactured geometries of lattice materials. The Digital Image Correlation technique allowed to measure local deformations in the specimen during the experimental test. The micro-computed tomography allowed to reconstruct the as-manufactured geometries of the specimens, from which the geometrical quality of the micro-structure is evaluated to run FE analyses.

Experimental and numerical results were compared by means of a stress concentration factor. This factor was calculated in three different specimens obtained from three-different printing processes to compare and understand their mechanical properties. Considering the as-designed geometry, it is not possible to model geometrical imperfections, and a FE model based on an as-manufactured geometry is needed. The results show that the mechanical properties of the printed samples are directly related to the statistical distribution of the stress concentration factor.

In this work, several techniques were combined to study the mechanical behaviour of lattice micro-structures. Lattice materials obtained by different selective laser melting printing parameters show different mechanical behaviours. A stress concentration factor can be assumed as a measure of the quality of these mechanical properties.