Search results

This paper aims to demonstrate methods that sustainability-conscious brands can use to include their primary producers in the measurement and reporting of the environment and sustainability performance of their supply chains. It explores three questions: How can farm businesses provide information required in sustainability reporting? What are the challenges and opportunities experienced in preparing and presenting the information? What future research and policy instruments might be needed to resolve these issues.

This study identifies and describes methods to provide the farm-level information needed for environmental performance and sustainability reporting frameworks. It demonstrates them by compiling natural capital accounts and environmental performance information for two wool producers in the grassy woodland biome of Eastern Australia; the contrasting history and management of these producers would be expected to result in different environmental performances.

The authors demonstrated an approach to NC accounting that is suitable for including primary producers in environmental performance reporting of supply chains and that can communicate whether individual producers are sustaining, improving or degrading their NC. Measurements suitable for informing farm management and for the estimation of supply chain performance can simultaneously produce information useful for aggregation to regional and national assessments.

The methods used should assist sustainability-conscious supply chains to more accurately assess the environmental performance of their primary producers and to use these assessments in selective sourcing strategies to improve supply chain performance. Empirical measures of environmental performance and natural capital have the potential to enable evaluation of the effectiveness of sustainability accounting frameworks in inducing businesses to reduce their environmental impacts and improve the condition of the natural capital they depend on.

Two significant social implications exist for the inclusion of primary producers in the sustainability and environmental performance reporting of supply chains. Firstly, it presently takes considerable time and expense for producers to prepare this information. Governments and members of the supply chain should acknowledge the value of this information to their organisations and consider sharing some of the cost of its preparation with primary producers. Secondly, the “additionality” requirement commonly present in existing frameworks may perversely exclude already high-performing producers from being recognised. The methods proposed in this paper provide a way to resolve this.

To the best of the authors’ knowledge, this research is the first to describe detailed methods of collecting data for natural capital accounting and environmental performance reporting for individual farms and the first to compile the information and present it in a manner coherent with the Kering EP&L and the UN SEEA EA. The authors believe that this will make a significant contribution to the development of fair and standardised ways of measuring individual farm performance and the performance of food, beverage and apparel supply chains.

Surface roughness has a serious impact on the fatigue strength, wear resistance and life of mechanical products. Realizing the evolution of surface quality through theoretical modeling takes a lot of effort. To predict the surface roughness of milling processing, this paper aims to construct a neural network based on deep learning and data augmentation.

This study proposes a method consisting of three steps. Firstly, the machine tool multisource data acquisition platform is established, which combines sensor monitoring with machine tool communication to collect processing signals. Secondly, the feature parameters are extracted to reduce the interference and improve the model generalization ability. Thirdly, for different expectations, the parameters of the deep belief network (DBN) model are optimized by the tent-SSA algorithm to achieve more accurate roughness classification and regression prediction.

The adaptive synthetic sampling (ADASYN) algorithm can improve the classification prediction accuracy of DBN from 80.67% to 94.23%. After the DBN parameters were optimized by Tent-SSA, the roughness prediction accuracy was significantly improved. For the classification model, the prediction accuracy is improved by 5.77% based on ADASYN optimization. For regression models, different objective functions can be set according to production requirements, such as root-mean-square error (RMSE) or MaxAE, and the error is reduced by more than 40% compared to the original model.

A roughness prediction model based on multiple monitoring signals is proposed, which reduces the dependence on the acquisition of environmental variables and enhances the model's applicability. Furthermore, with the ADASYN algorithm, the Tent-SSA intelligent optimization algorithm is introduced to optimize the hyperparameters of the DBN model and improve the optimization performance.

Ireland’s ageing population has resulted in an increasing number of older adults living with frailty. Despite growing attention towards older adults’ and health professionals’ perspectives of frailty, occupational therapy research is limited. This study aims to explore occupational therapists’ perceptions of frailty and how their perceptions impact their approach to the assessment and management of frailty.

Using qualitative descriptive design, 19 occupational therapists working with older adults participated in online focus groups. Data were analysed using thematic analysis.

Perceptions of occupational therapists were constructed into three main themes: conceptualising frailty; management of frailty; and advancing frailty practice. Findings indicate that occupational therapists perceived frailty as a multidimensional concept but highlight a reluctance to use frailty terminology with patients. Findings also suggest that although occupational therapists are involved in provision of care for older adults living with frailty, the profession’s scope is not optimised in the assessment and management of frailty.

Findings provide insight into occupational therapists’ perceptions of frailty. Development of a shared understanding of frailty between clinicians and patients and enhancement of undergraduate frailty education are recommended to progress occupational therapy’s role in frailty management.

This study aims to identify and measure the lexical gap between the old and young generations in the Jizani dialect and determine the causes of that gap.

A 20-item questionnaire was distributed randomly among 104 participants. Next, 12 participants were selected and interviewed. SPSS software was used to analyse the quantitative data from the questionnaire. The data elicited from the interviews was qualitatively analysed, considering age and gender factors.

The major findings revealed that a lexical gap between old and young language speakers in the Jizani dialect exists. The gap between young females and the older generation was greater than that between young and old males. Some old words are likely to disappear in the coming decades. Social media, which is a time-consuming and word-borrowing medium for young people, was one of the reasons, besides the tendency of females to use prestigious words.

This study attempted to find the differences between the vocabularies of old and young speakers. If it does exist, is it significant? What are the reasons for this lexical gap? This will help other researchers and dialectologists register the old words before they die out and try to bridge that lexical gap.

Social media has become an inescapable part of our lives. However, recent research suggests that excessive use of social media may lead to fatigue and users’ disengagement. This study aims to examine which brand-related factors contribute to social media fatigue (SMF) and its subsequent role on driving lurking behaviors, particularly among young consumers.

Based on survey data from 282 young users of social media, a holistic model of brand-related drivers and outcomes of SMF was tested, emphasizing the contribution of brands’ social media presence to users’ disengagement.

Research shows that branded content overload and irrelevance, as well as branded ads intrusiveness significantly impact SMF, which in turn plays a mediating role between brand-related drivers and lurking behaviors. The authors further conclude that the impact of SMF on lurking is stronger for users who follow a larger set of brands.

The study contributes to social media research by addressing its “dark side” and empirically validating the role of brands’ social media presence in developing young users’ fatigue and disengagement. The study further adds to the scant literature on SMF, which was mostly developed outside the branding field. Research also provides valuable insights to brands on how to improve their social media performance.

This study examines the information literacy practices of young video bloggers, focusing on the ways in which they construct their cognitive authority through a health-related information creation process.

This study draws upon socially oriented information literacy research and nexus analysis as its methodological framework. Data, including YouTube videos, theme interviews and video diaries, were collected with three Finnish video bloggers and qualitatively analysed using nexus analytical concepts to describe the central elements of social action.

The study shows that video bloggers employ several information practices during the information creation process, including planning, information-seeking, organization, editing and presentation of information. They construct their cognitive authority in relation to their anticipated audience by grounding it on different types of information: experience-based, embodied and scientific. Trustworthiness, emphasized with authenticity and genuineness, and competence, based on experience, expertise and second-hand information, were recognized as key components of credibility in this context.

This study increases the understanding of the complex ways in which young people create information on social media and influence their audiences. The study contributes to information literacy research by offering insights into the under-researched area of information creation. It is among the few studies to examine cognitive authority construction in the information creation process. The notion of authority as constructed through trustworthiness and competence and grounded on different types of information, can be taken into account in practice by information professionals and educators when planning information literacy instruction.

Using a mixed methodology comprising interviews, case file analysis and descriptive statistics, this study aims to examine the experiences of all 43 young people in Wales subject to secure accommodation orders between 1st April 2016 and 31st March 2018.

Children in the UK aged 10–17 years who are deemed to be at a significant level of risk to themselves or others may be subject to a secure accommodation order, leading to time spent in a secure children’s home (SCH) on welfare grounds. Following a rise in the number of children in Wales referred to SCHs for welfare reasons, this paper describes these young people’s journeys into, through and out of SCHs, giving insight into their experiences and highlighting areas for policy and practice improvements.

Findings indicate that improvements in mental health support and placement availability are key in improving the experiences of this particularly vulnerable group of young people throughout their childhood.

Other practical implications of the study’s findings, such as improvements in secure transport arrangements, are also discussed.

While the findings are limited by the reliance on self-report methods and the size of the study, namely, the small number of young people with experience of SCHs who were able to participate, the findings build on the existing knowledge base around children’s residential accommodation and provide new insights into how best to support these children.

Young incarcerated male offenders are at risk of poorer sexual health, adolescent parenthood and lack opportunities for formative relationship and sexuality education (RSE) as well as positive male role models. The purpose of this paper is to report the process of co-production and feasibility testing of a novel, gender-transformative RSE programme with young male offenders to encourage positive healthy relationships, gender equality, and future positive fatherhood.

Using a rights-based participatory approach, the authors co-produced an RSE programme with young offenders and service providers at two UK prison sites using a sequential research design of: needs analysis, co-production and a feasibility pilot. Core components of the programme are grounded in evidence-based RSE, gender-transformative and behaviour change theory.

A needs analysis highlighted the men’s interest in RSE along with the appeal of film drama and peer-group-based activities. In the co-production stage, scripts were developed with the young men to generate tailored film dramas and associated activities. This co-production led to “If I Were a Dad”, an eight-week programme comprising short films and activities addressing masculinities, relationships, sexual health and future fatherhood. A feasibility pilot of the programme demonstrated acceptability and feasibility of delivery in two prison sites. The programme warrants further implementation and evaluation studies.

The contribution of this paper is the generation of an evidence-based, user-informed, gender-transformative programme designed to promote SRHR of young male offenders to foster positive sexual and reproductive health and well-being in their own lives and that of their partners and (future) children.

The purpose of this paper is to achieve effective governance of online rumors through the proposed rumor propagation model and immunization strategy.

The paper leverages the agent-based modeling (ABM) method to model individuals from two aspects, behavior and attitude. Based on the analysis and research of online data, we propose a rumor propagation model, namely the Untouched view transmit removed-Susceptible hesitate agree disagree (Unite-Shad), and devise an immunization strategy, namely the Gravity Immunization Strategy (GIS). A graph-based framework, namely Pregel, is used to carry out the rumor propagation simulation experiments. Through the experiments, the rationality of the Unite-Shad and the effectiveness of the GIS are verified.

The study discovers that the inconsistency between human behaviors and attitudes in rumor propagation can be explained by the Unite-shad model. Besides, the GIS, which shows better performance in small-world networks than in scale-free networks, can effectively suppress rumor propagation in the early stage.

This paper provides an effective immunization strategy for rumor governance. Specifically, the Unite-Shad model reveals the mechanism of rumor propagation, and the GIS provides an effective governance method for selecting immune nodes.

The inconsistency of human behaviors and attitudes in real scenes is modeled in the Unite-Shad model. Combined with the model, the definition of diffusion domain is proposed and a novel immunization strategy, namely GIS, is designed, which is significant for the social governance of rumor propagation.