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Health and social care services should demonstrate the quality of their interventions for commissioners, patients and carers, plus it is a requirement for occupational therapists to measure and record outcomes. Use of the “Therapy Outcome Measure” (TOMs) standardised tool was implemented by an occupational therapy adult social care service to demonstrate outcomes from April 2020, following integration to a community NHS Trust.

The aim was to demonstrate occupational therapy outcomes in adult social care through a local audit of the TOMs. The objective was to determine if clients improved following occupational therapy intervention in the four domains of impairment, activity, participation and wellbeing/carer wellbeing. 70 cases were purposively sampled over a 2-month timeframe, extracting data from the local electronic recording system.

Occupational therapy in adult social care clearly makes an impact with their client group and carers. Evidence from the dataset demonstrates clinically significant change, as 93% of clients seen by adult social care occupational therapy staff showed an improvement in at least one TOMs domain during their whole episode of care. 79% of activity scores, 20% of participation scores and 50% of wellbeing scores improved following intervention. 79% of carer wellbeing scores improved following occupational therapy.

The audit did not collect data on uptake from the separate teams (equipment, housing, STAR and adult social care work) in occupational therapy adult social care. Potential sampling bias occurred as cases with completed scores only were purposively sampled. Sampling was not random which prevented data gathering on uptake of TOMs across the separate teams. Additionally, the audit results can only be applied to the setting from which the data was collected, so has limited external validity.

These novel findings illustrate the valuable and unique impact of occupational therapy in this adult social care setting. The integration of adult social care into an NHS Community Trust has supported the service to measure outcomes, by utilising the same standardised tool in use by allied health professions across the Trust.

This chapter describes the complementary benefits of model-building and data analysis using algorithm and statistical modeling methods in the context of unobtrusive marketing field experiments and in transforming findings into isomorphic-management models. Relevant for marketing performance measurement, case-based configural analysis is a relatively new paradigm in crafting and testing theory. Statistical testing of hypotheses to learn net effects of individual terms in MRA equations is the current dominant logic. Isomorphic modeling might best communicate what executives should decide using the findings from algorithm and statistical models. Data testing these propositions here uses data from an unobtrusive field experiment in a retailing context and includes two levels of expertise, four price points, and presence versus absence of a friend (“pal” condition) during the customer-salesperson interactions (n = 240 store customers). The analyses support the conclusion that all three approaches to modeling provide useful complementary information substantially above the use of one or the other alone and that transforming findings from such models into isomorphic-management models is possible.

The purpose of this paper is to study how cryogenic CO₂ cooling during the welding process affects corrosion behaviour of friction stir welding (FSW) AA7010‐T7651.

Friction stir welded AA7010‐T7651 was produced with a rotation speed of 288 rpm and a travel speed of 58 mm/min. The liquid CO₂ was sprayed onto the weld centre line immediately after the toolpiece. The microstructures of welds in different regions were observed using Field Emission Gun Scanning Electron Microscope (FEG‐SEM). The effect on the corrosion susceptibility was investigated using a gel visualisation test and potentiodynamic polarisation measurements using a micro‐electrochemical technique.

The main corrosion region for both FSWs AA7010‐T7651 produced with and without cryogenic CO₂ cooling is in the HAZ region, which exhibited intergranular attack. Cryogenic cooling does not show any influence on anodic reactivity of the weld region (both nugget and HAZ) compared to uncooled weld metal. However, the width of the reactive HAZ is reduced after cooling, as compared to the uncooled weld. The cooled welds show higher cathodic reactivity in the nugget region than does the nugget region of uncooled welds.

There has been no previous work to investigate the effect of cryogenic CO₂ cooling on the corrosion behaviour of FSW AA7010‐T7651. The paper relates the microstructures of both uncooled and cooled welds to their anodic and cathodic reactivities using a micro‐electrochemical technique.

This issue is a selected bibliography covering the subject of leadership.

A new type of variable damping viscous damper is developed to meet the settings of different damping parameter values at different working stages. Its main principle and design structure are introduced, and the two-stage and multi-stage controllable damping methods are proposed.

The theoretical calculation formulas of the damping force of power-law fluid variable damping viscous damper at elongated holes are derived, aiming to provide a theoretical basis for the development and application of variable damping viscous dampers. For the newly developed variable damping viscous damper, the dynamic equations for the seismic reduction system with variable damping viscous dampers under a multi-degree-of-freedom system are established. A feasible calculation and analysis method is proposed to derive the solution process of time history analysis. At the same time, a program is also developed using Matlab. The dynamic full-scale test of a two-stage variable damping viscous damper was conducted, demonstrating that the hysteresis curve is complete and the working condition is stable.

Through the calculation and analysis of examples, the results show that the seismic reduction effect of high and flexible buildings using the seismic reduction system with variable damping viscous dampers is significant. The program developed is used to analyze the seismic response of a broadcasting tower using a variable damping TMD system under large earthquakes. The results indicate that the installation of variable damping viscous dampers can effectively control the maximum inter-story displacement response of TMD water tanks and can effectively consume seismic energy.

This method can provide a guarantee for the safe and effective operation of TMD in wind and vibration control.

This paper aims to link recent findings in cognitive neuroscience to better understand how andragogically informed instructional practices impact cognition and learning.

The research questions guiding the study is in what ways can the recent findings in cognitive neuroscience help to inform adult education theory, including andragogy in particular, to deepen our understanding of how andragogical instructional principles and practices can improve learning? We adopted Torraco’s (2005) integrative literature review approach of providing enough details regarding the selection of the literature and the identification and verification of emerged themes of main ideas.

The core assumptions of andragogy (self-direction, prior experience, readiness to learn and immediacy of application) have a connection to the neural networks related to memory and cognition.

First, this study provides fundamental foundations for combining cognitive neuroscience and adult learning to illuminate how cognitive neuroscience contributes physiologically to adult learning. Second, the findings in cognitive neuroscience related to the four assumptions for andragogy help to provide scientific explanations and interpretations for adult learning theories influencing human resource development (HRD), such as self-directed learning, experiential learning and role theory.

First, HRD practitioners could use the integrative approach between andragogy and the cognitive neuroscience to reduce the issues of learning activities in generation differences. In addition, cognitive neuroscience research may contribute to improving teaching and instructional techniques.

The contributions of this study is that it provides an integrative review about why and how anagogical principles work through the lens of cognitive neuroscience. Based on the findings, we suggested a model of adaptive cognitive neuroscience-adult learning structures.

The aim of this paper is to show that the use of energy distribution plot (EDP), usually employed by researchers to characterize the behavior of electrochemical signals in the framework of wavelet transform, could provide better understanding of the electrochemical behavior of a corroding surface if used along with the plot that is obtained from the standard deviation (SD) of partial signals (SDPS). A partial signal (PS) is obtained by limiting the inverse discrete wavelet transform to one crystal, and hence an SDPS is obtained by computing the SD of the corresponding PS.

The electrochemical current signals, obtained from two identical working electrodes (carbon steel electrodes) exposed to simulated concrete pore solution, sparged simultaneously with SO₂ and CO₂ were studied using wavelet transforms.

The results show two steps of passive oxide layer formation: formation of defective passive oxide layer, and strengthening of the passive oxide layer. The passive oxide layer breakdown where CO₂ as well as SO₂ are involved occurred at a pH of approximately 11. Both the EDP and SDPS plots should be used, simultaneously, to characterize the processes occurring on the surfaces of the exposed electrodes.

The results that were obtained can be regarded as the basis for better understanding and improvement of the noise analysis method.

This paper studies the corrosion behavior of carbon steel rebar before and after the simultaneous introduction of CO₂ and SO₂ gases in simulated pore solution, using EDP and SDPS plots obtained from the electrochemical current signals at different pH values.

This paper aims to describe the development of WorkOut, an Internet-based program designed to help young men overcome the barriers towards help-seeking and to build the skills they need to understand and manage their own mental health. Information and communication technologies (ICT) hold great potential to significantly improve mental health outcomes for hard-to-reach and traditionally underserved groups. Internet-based programs and mobile phone applications may be particularly appealing to young men due to their convenience, accessibility and privacy and they also address the strong desire for independence and autonomy held by most men.

In this paper, we describe the design process itself, and the strategies used for multi-disciplinary collaboration. The initial evaluation process and results are also described which consisted of three distinct phases: website statistics; one-on-one user testing; and pilot interviews.

The results suggest that WorkOut has the potential to attract young men. However, further work is needed to ensure that users remain engaged with the program.

The difficulties encountered and lessons learned provide an insight into the factors that should be considered in the design and evaluation of future ICT-based strategies within the mental health domain, as well as their potential applicability to clinical and educational settings.

The emergence of new manufacturing technologies, spurred by intense competition, will lead to dramatically new products and processes. New management systems, organizational structures, and decision‐making methods will also emerge as complements to new products and processes. This paper attempts to investigate technologies, systems and paradigms for the effective management of networked enterprise (supply chain networks), especially long supply chains. In doing so, the paper presents not only an exhaustive literature review to identify the complexities, gaps and challenges associated with long supply chains but also the emerging enabling technologies to support these gaps and challenges.

The approach takes the form of an interview of industrials, researchers and a literature review.

“Competition in the future will not be between individual enterprises but between competing supply chains.” Business opportunities are captured by groups of enterprises in the same enterprise network. This is due to the global competition that forces enterprises to focus on their core competences.

The paper presents a vision of the future technical issues relating to long supply chains and an insight into the future scientific and industrial advances required to meet future market and public demands.

This research work highlights the research issues and discusses the key enabling features, which will need to evolve and be perfected in industry in the future manufacturing networked enterprises and especially long manufacturing supply chains.