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Field variations in the LHC superconducting magnets, e.g.during the ramping of the magnets, induce magnetization currents in the superconducting material, the so‐called persistent currents that do not decay but persist due to the lack of resistivity. This paper describes a semi‐analytical hysteresis model for hard superconductors, which has been developed for the computation of the total field errors arising from persistent currents. Since the superconducting coil is surrounded by a ferromagnetic yoke structure, the persistent current model is combined with the finite element method (FEM), as the non‐linear yoke can only be calculated numerically. The used finite element method is based on a reduced vector potential formulation that avoids the meshing of the coil while calculating the part of the field arising from the source currents by means of the Biot‐Savart Law. The combination allows the determination of persistent current induced field errors as a function of the excitation and for arbitrarily shaped iron yokes. The model has been implemented into the ROXIE program and is tested using the LHC dipole magnet as an example.

The three‐dimensional (3D) body scanner is an important new technology that will impact the design and production of apparel, but use of this tool is at an early stage of development. Appropriate measurement extractions from the complex 3D scans that will address the needs of apparel patternmakers are an essential part of the development process for this new tool. The paper aims to address these developments.

In this study, a method of automatically locating the side seam for torso fitting garments from 3D body scans for a variety of body types was developed and tested. The method is based on the location of center points of body depth measurements, and five different body landmarks or combinations of body landmarks were tested to determine the best choice for implementation.

Based on rankings and ratings of the results by apparel experts, a method using the average value of body depth measurements taken at about 100 locations equally spaced from the axilla to the crotch was chosen as the best solution.

Additional testing of this method and development of a method for locating the side seam for lower body garments is the next step in this research.

Identifying appropriate landmarks and body measurement extraction processes for apparel or style‐based measurements is as important as the more commonly derived anthropometric measures based on body landmarks. Landmarks such as side‐seam placement pose unique challenges that must be solved with analysis and reconstruction of style‐based data. The paper provides information on these factors.

The author argues that we must stop and take a look at what our insistence on human labour as the basis of our society is doing to us, and begin to search for possible alternatives. We need the vision and the courage to aim for the highest level of technology attainable for the widest possible use in both industry and services. We need financial arrangements that will encourage people to invent themselves out of work. Our goal, the article argues, must be the reduction of human labour to the greatest extent possible, to free people for more enjoyable, creative, human activities.

The purpose of this paper is to propose a reciprocal peer review approach that resembled the scholarly peer review process using the Moodle e-learning system. The authors investigated interrelations among engagement in providing peer feedback, engagement in responding to peer feedback, learner-content interaction and learning outcomes.

An experimental intervention study was designed. A total of 45 students who enroled in an undergraduate research methods course completed the assigned project. Reciprocal peer review was adopted, in which the participants provided a peer review report on a randomly assigned peer’s research proposal. Subsequently, participants revised and submitted their proposal along with a response letter that highlighted the revisions.

This study highlights that the engagement in providing peer feedback exerts an indirect effect on learning outcomes through learner-content interaction. Learner-content interaction fully mediates the causal relationship between engagement in providing peer feedback and learning outcomes.

Learner-content interaction fully mediates the causal relationship between engagement in providing peer feedback and learning outcomes. Thus, e-learning practitioners who engage in peer review should first construct high-quality course materials to enhance learning outcomes.

Learning outcomes can be enhanced if there is a high level of engagement in providing peer feedback among learners. However, learner-content interaction fully mediates the positive effect of engagement in providing peer feedback on learning outcomes. Furthermore, engagement in providing peer feedback will enhance the learner’s motivation to intensify his or her learning from the course material.