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Briefly outlines main objectives of the Ministry of Agriculture, Fisheries and Food (MAFF) research programme Food Acceptability and Choice. Looks at the project portfolio and lists recent, current and future research topics by author. Concludes by listing relevant literature from the MAFF programme.

Over the course of three years (2010-2013), the Carnegie Project on the Education Doctorate (CPED; a Consortium of 86 colleges and schools of education) Phase I institutions were involved in the Fund for the Improvement of Secondary Education mixed-methods, multi-case study. Data were collected from Primary Investigators, and stakeholders involved in the (re) design of a professional practice doctorate in education. At the conclusion of the research study, each institution was the recipient of a Critical Friends (CFs) Response Report. The purpose of this paper is to provide insights into the effectiveness of CFs in supporting institutional change by developing a collaborative environment in Higher Education.

First, the role of CFs, and Critical Friend Group (CFG) protocol is described. Second, analyzed data from CF Response Reports is reviewed. Lastly, recommendations for the application of the conceptual framing of CFs within the academy are discussed.

CF Response Reports reflect application of CFG protocol All CF Response Reports contained examples of both positive and cool feedback. This outcome supports previous research (Curry, 2008; Kuh, 2006; Butler et al., 2011) which suggest the protocol structure helped the CFs to focus in order to be supportive and positive. Fewer reports (12) identified institutional and program challenges. This may be a reflection of the dichotomy between friendship and critique which may lead to tension (Swaffield, 2005). A CF may be more likely to articulate a challenge in a face to face meeting knowing that any ensuing tension can be immediately addressed as opposed to stating the issues on paper with no immediate opportunity for the recipient to respond.

Several limitations of the data deserve attention. First, the data did not allow us to explore the relationship between CFs, actual practice, and doctoral program reform. Another limitation of the data are that it emanates from Phase I CPED institutions only. As such, these CFs may not be generally representative. The study would be strengthened if the work could be extended to include institutions from Phase II and III CPED institutions. As the authors continue to develop the understanding of critical friendship in academia the authors can apply this knowledge to support colleagues in their doctoral program reform and redesign.

Based on this study, it is possible to identify several recommendations that are instructive within a Higher Education context. Organizational change and specifically program (re) design is a complex process, and there is no clear certainty of success. Pragmatically, the impetus for utilizing the CF model should be intrinsic, developed by the institutions themselves. Organizational support, knowledge sharing, and communication is required to enable the CF model to be implemented with fidelity (e.g. presentations, and web site information).

Faculty may feel vulnerable and lacking in support, but the adoption of a CF model enables them to not only see the institution from a different perspective, but also helps them bring the familiar into a new focus. External institutional support can alleviate faculty vulnerability, enhance faculty resilience to in-house challenges, and facilitate institutional collaboration.

This study suggests that the external advocacy of the CF can positively impact change in the academy, and innovative doctoral program design by first fostering individual resilience to encountered challenges, and second enhancing institutional learning through institutional collaboration.

Elasto‐plastic models based on critical state formulations have been successful in describing many of the most important features of the mechanical behaviour of soils. This review paper deals with the applications of this class of models to the numerical analysis of geotechnical problems. After a brief overview of the development of the models, the basic critical state formulation is presented together with the main modifications which have actually been used in computational applications. The problems associated with the numerical implementation of this type of models are then discussed. Finally, a summary of reported computational applications and some specific examples of analyses of geotechnical problems using critical state models are presented.

Apparatus which will demonstrate the conservation of linear momentum is usually expensive or complicated. This is not really surprising if we consider the requirements. First of all friction must be negligibly small, and secondly an accurate method of measuring velocity must be found. The linear air track satisfies the first of these needs, and stroboscopic photography or electric stop clocks can be used to measure velocity.

This paper aims to discuss and bring to the attention of researchers and practitioners the data management issues relating to condition‐based maintenance (CBM) optimization.

The common data quality problems encountered in CBM decision analyses are investigated with a view to suggesting methods to resolve these problems. In particular, the approaches for handling missing data in the decision analysis are reviewed.

This paper proposes a data structure for managing the asset‐related maintenance data that support CBM decision analysis. It also presents a procedure for data‐driven CBM optimization comprising the steps of data preparation, model construction and validation, decision‐making, and sensitivity analysis.

Analysis of condition monitoring data using the proportional hazards modeling (PHM) approach has been proved to be successful in optimizing CBM decisions relating to motor transmission equipment, power transformers and manufacturing processes. However, on many occasions, asset managers still make sub‐optimal decisions because of data quality problems. Thus, mathematical models by themselves do not guarantee that correct decisions will be made if the raw data do not have the required quality. This paper examines the significant issues of data management in CBM decision analysis. In particular, the requirements of data captured from two common condition monitoring techniques – namely vibration monitoring and oil analysis – are discussed.

This paper offers advice to asset managers on ways to avoid capturing poor data and the procedure for manipulating imperfect data, so that they can assess equipment conditions and predict failures more accurately. This way, the useful life of physical assets can be extended and the related maintenance costs minimized. It also proposes a research agenda on CBM optimization and associated data management issues.

The purpose of this paper is to investigate the simultaneous effects of ionization and dispersion of soil on the impulse behavior of grounding electrodes under first and subsequent stroke currents.

A recently introduced technique called improved multi-conductor transmission line (MTL) is simplified for grounding electrodes buried in both-affected soils.

The simulation results show that including the two effects simultaneously in highly resistive soils under high-valued subsequent stroke current is recommended. Otherwise, simultaneous effects can be disregard.

To the best of the authors’ knowledge, there is no research on sensitivity analyses for the simultaneous inclusion of the two effects on the effective length and the induced voltage on the soil surface. To this end, the simplified MTL is applied to the grounding electrodes. The simulation results show that the computational efficiency in comparison with previous methods is, first, considerably increased. Second, the simultaneous effects result in decreasing the soil surface voltage with respect to situations where either ionization or dispersion is taken into account (single-affected soils). In other words, the performance of grounding systems is improved. Third, the effective length in both-affected soil is has a middle value with respect to the single-affected soil. Such findings practically and financially are of importance.

The purpose of this paper is to perform an extensive literature review in the area of decision making for condition-based maintenance (CBM) and identify possibilities for proactive online recommendations by considering real-time sensor data. Based on these, the paper aims at proposing a framework for proactive decision making in the context of CBM.

Starting with the manufacturing challenges and the main principles of maintenance, the paper reviews the main frameworks and concepts regarding CBM that have been proposed in the literature. Moreover, the terms of e-maintenance, proactivity and decision making are analysed and their potential relevance to CBM is identified. Then, an extensive literature review of methods and techniques for the various steps of CBM is provided, especially for prognosis and decision support. Based on these, limitations and gaps are identified and a framework for proactive decision making in the context of CBM is proposed.

In the proposed framework for proactive decision making, the CBM concept is enriched in the sense that it is structured into two components: the information space and the decision space. Moreover, it is extended in a way that decision space is further analyzed according to the types of recommendations that can be provided. Moreover, possible inputs and outputs of each step are identified.

The paper provides a framework for CBM representing the steps that need to be followed for proactive recommendations as well as the types of recommendations that can be given. The framework can be used by maintenance management of a company in order to conduct CBM by utilizing real-time sensor data depending on the type of decision required.

The results of the work presented in this paper form the basis for the development and implementation of proactive Decision Support System (DSS) in the context of maintenance.

This manuscript aims to consider traditional success metrics in patient-oriented research (POR) using insights from the Helping Enable Access and Remove Barriers To Support for Young Adults with Mental Health-Related Disabilities (HEARTS) study.

Through collective reflexivity, this manuscript underscores the inadequacy of current evaluation standards that focus primarily on quantifiable outputs.

The findings suggest that significant systemic challenges persist, including ageism and discrimination, which undermine the efforts of POR.

This manuscript argues for an expanded evaluation encompassing traditional metrics and integrating emotional, experiential and community impact measures. Such an approach is crucial to capturing POR's comprehensive effects and fostering a research environment that values inclusivity, supports well-being and ensures responsive and equitable research practices. Thus, aligning with the transformative goals of POR, aiming to enhance the quality and impact of health research and reflect the profound personal and communal transformations that are as significant as the outcomes they facilitate.

This manuscript represents an emancipatory approach to POR, distinguished by its authentic co-authorship model. Uniquely, it is composed in collaboration with young adults who are experts in experience and coresearchers. These co-authors bring invaluable first-hand insights that both critique and enrich our understanding, enabling them to actively shape the discourse and direction of future POR research. This collaboration ensures the development of more relevant, grounded and transformative approaches in mental health research, thereby enhancing the pertinence and impact of these findings in real-world settings.