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The purpose of the paper is to characterize an evaluation protocol of the social discount rate (SDR). This is based on the social rate of time preference (SRTP) principles, according to which the investment selection process must tend to maximize the utility of the community.

The theoretical reference of the evaluation protocol is represented by the Ramsey formula. It is widely used in many countries with advanced economics for the SRTP estimation, through the maximization of the Social Welfare Function (SWF).

The protocol structure and the protocol applications to the Italian and US economies explain how the SDR value is influenced by the socio-economic structure of the single nation.

The strong variability of the results of the SDR according to the theoretical approach of reference and the operating path that follows can lead to judgments decidedly divergent on the acceptability of the public project, hence, the important policy implications for the entire allocation process of public resources.

The applications allow to highlight the important operational problems that must be resolved with regard to the choice of the time intervals of the evaluations, as well as logical-operational tools to be used to express estimates of parameters.

They are relevant in relation to the effects of a more equitable allocation of the resources.

The protocol for the SDR estimation is based both on solid disciplinary principles and on objective data of non-complex availability and representative of the economic and socio-demographic context of the country in which the decision-making process is implemented.

In any distributed application, the communication between the distributed processes/nodes of the distributed systems is essential for both reliability and efficiency matters. The purpose of this paper is to address this issue for distributed applications based on JXTA protocols aiming at extending and evaluating the protocols of the JXTA library for reliable P2P computing.

After a careful examination of the current version of JXTA protocols, the need was observed for improving the original JXTA protocols such as pipe services to ensure reliable communication between nodes of the grid platform and the discovery and presence service to increase the performance of the applications. Using a mixed P2P network based on broker peers and client peers architecture, which served as a basis to extend the JXTA protocols, was the basis of the approach.

The original JXTA protocols are extented/re‐implemented to support the development of reliable P2P distributed applications.

The proposed approach has been validated in practice by deploying a P2P network using nodes of PlanetLab platform and testing each of the re‐implemented protocols using this real P2P network. The extended JXTA protocols can be used to develop reliable P2P distributed applications.

Is of value by showing how to improve both efficiency reliability of JXTA protocols and services.

Disabled people who are the end‐users (EU) of health services have a poor record of inclusion, yet a major stake in the quality of scientific research that informs the development of health knowledge and interventions. In traditional rehabilitation research it has been the researcher who sets the agenda, including determining the research question, study design and methods, and who controls dissemination of findings. This paper aims to describe the development of an EU research consultation committee and to describe the evaluation protocol used to assess the effectiveness of the committee.

The paper describes the context and development of an EU research consultation committee (the committee) to promote collaboration between researchers and lay‐EUs within a research organization in New Zealand. It also describes the qualitative evaluation protocol to be used to assess the effectiveness of the committee over the first 12 months of operation in order to refine its process and procedures.

The paper discusses the issues and challenges involved in achieving collaboration between researchers and EUs in the rehabilitation research space and describes this consultation model as a positive example of making inclusion a reality. Challenges include building research capacity within the EU community and development of real models of collaboration and partnership in rehabilitation research.

It is argued that the integrity and relevance of clinical research is enhanced by the involvement of EUs in all aspects of the research process.

Prostate and colorectal cancer (CRC) rates are disproportionately high among African‐American men. The purpose of this paper is to describe the development of an intervention in which barbers were trained to educate clients about early detection for prostate and CRC.

Working with an advisory panel of local barbers, cancer survivors and clients, educational materials are developed and pilot tested through use of focus groups and cognitive response interviews.

The advisory panel, focus groups, and interviews provide key recommendations for core content, intervention structure, and evaluation strategies. The men suggest a variety of things they want to know about prostate cancer, however the perceived need for CRC information is much broader, suggesting a knowledge gap. The men prefer print materials that are brief, use graphics of real African‐American men, and provide a telephone number they can call for additional information.

Community involvement is key in developing a well‐accepted and culturally‐relevant intervention.

The paper usefully describes the process of developing and pilot testing educational materials for use in an intervention in which barbers would be trained as community health advisors, to educate their clients about CRC screening and informed decision making for prostate cancer screening.

This study aims to explore how to apply and integrate the performance management (PM) process in humanitarian supply chains (HSCs) among and between humanitarian organizations (HOs) and donors so as to improve cost-efficiency (CE) and lead-time effectiveness (LTE) in the stage of natural disaster preparedness.

This study adapts and operationalizes a framework for the PM process used in commercial supply chains to assess HSCs. A multiple-case study with two types of actors – six HOs and three donors—is used to describe the applications of the PM process and analyze the level of integration between the actors.

The activities in the PM process could sometimes be only vaguely described. Both actors emphasized improving CE, with less emphasis on LTE. Both actors have a low level of integration in each PM process activity, decreasing the CE and LTE. Therefore, guidelines for improving the level of PM process integration are provided.

To the best of the authors’ knowledge, this study is one of the first to combine literature on HSCs and PM process integration, thereby contributing to both literature fields. The concrete contribution of this study is a framework for PM process application and integration among and between HOs and donors.

The PM process framework can be used to assess PM process application, as well as current and increased level of integration, to improve CE and LTE. The current applications can also inspire other HOs and donors.

Previous studies indicate the lack of frameworks in the PM domain of HSCs, especially in the stage of natural disaster preparedness.

The purpose of the paper is to improve the rating prediction accuracy in recommender systems (RSs) by metric learning (ML) method. The similarity metric of user and item is calculated with gray relational analysis.

First, the potential features of users and items are captured by exploiting ML, such that the rating prediction can be performed. In metric space, the user and item positions can be learned by training their embedding vectors. Second, instead of the traditional distance measurements, the gray relational analysis is employed in the evaluation of the position similarity between user and item, because the latter can reduce the impact of data sparsity and further explore the rating data correlation. On the basis of the above improvements, a new rating prediction algorithm is proposed. Experiments are implemented to validate the effectiveness of the algorithm.

The novel algorithm is evaluated by the extensive experiments on two real-world datasets. Experimental results demonstrate that the proposed model achieves remarkable performance on the rating prediction task.

The rating prediction algorithm is adopted to predict the users' preference, and then, it provides personalized recommendations for users. In fact, this method can expand to the field of classification and provide potentials for this domain.

The algorithm can uncover the finer grained preference by ML. Furthermore, the similarity can be measured using gray relational analysis, which can mitigate the limitation of data sparsity.

Peer‐to‐Peer computing offers many attractive features, such as collaboration, self‐organization, load balancing, availability, fault tolerance and anonymity. However, it also faces many serious challenges. In our previous work, we implemented a synchronous P2P collaboration platform called TOMSCOP. However, the TOMSCOP was implemented only in Windows XPOS. In this work, we extend our previous work and present a multi‐platform Peer‐to‐Peer system. The proposed system operates very smoothly in UNIX Solaris 9 OS, Linux Suse 9.1 OS, Mac OSX, and Windows XP. In this paper, we present the design of proposed system and four web application tools: info, joint draw pad, shared web browser and subaru avatar.

The purpose of this paper is to demonstrate the learning from the multi-agency evaluation of the Leeds Dual Diagnosis Care co-ordination protocol undertaken by the Leeds Dual Diagnosis (DD) Project in 2013. The evaluation aimed to identify the prevalence of people with DD accessing network member services, and to identify the standard of care network members provided for people with DD in relation to the Leeds Care Co-ordination Protocol.

The evaluation adopted a service evaluation methodology and included features of real world research. Two standardised self-completion questionnaires were administered using Survey Monkey™ software.

The majority of service could provide prevalence data however the quality of data provided was significantly impacted by the limitations of client management systems. Completion of specific DD training beyond basic awareness was generally low and many participants were confused about the different levels of training available. Standards of care varied, a substantial amount of joint working was taking place via informal pathways which relied on established relationships and trust between practitioners and services. Jointing working was often informal when people were not under the Care Programme Approach.

Due of the methodological choices the evaluation cannot be considered impartial. The prevalence data gathered lacks robustness and does not reflect the number of people who meet clinical threshold for DD as valid screening tools were not used by all services. The standards of care identified only reflect practitioner's personal views and do not provide a definitive answer to the standard of care being delivered. The response rate in relation to standards of care was low with large amounts of missing data negatively impacting the external validity of data gathered.

The completion of this evaluation demonstrates that it is extremely challenging to undertake a multi-agency evaluation with limited resources. It has highlighted key challenges and areas for future development locally in relation to DD. The themes explored are likely to be of interest to commissioners, service managers, DD consultant nurses and anyone involved in the strategic development of DD.

The evaluation has generated information which is of practical significance to local commissioners and Leeds DD Network Members. The knowledge and learning from this evaluation has subsequently been used by the Leeds DD Strategy Group to inform the new action plan for the DD Project, the re-commissioning of substance misuse services and the new mental health framework being developed for Leeds.

The purpose of this paper is to propose a Living Lab protocol to evaluate interventions for people with dementia in context. The number of people with dementia is continuously growing, resulting in all kinds of societal challenges. As there is no cure for the diseases today, there is a need to look at alternative ways to combat these challenges, like the design of suitable interventions. These can support people with dementia to live more independent, with a higher quality of life. The protocol is developed over three Living Lab cases. In this, the authors focus on how to involve people living with dementia and the Living Lab stakeholder network.

Over three Living Lab cases, 26 people with dementia, and their caregivers, participated. In these cases, the authors focussed on three different interventions, namely: a reminder system, a daylight lamp and a mobile interface. Yet, a similar protocol was implemented that was built upon insights from its previous case. Hereby, the authors gathered hands-on insights concerning the design and implementation of a Living Lab protocol. Finally, the authors propose a protocol for those interested in pursuing similar goals.

For the resulting proposal, the authors found that it is important to actively involve the relevant Living Lab stakeholders from the start of the process. Because, first, care stakeholders protect participants as gatekeepers, and have a general interest in the interventions. Second, for industry stakeholders, the in-context Living Lab set-up needs to be aligned with their needs to gather usable insights for their interventions. Finally, the authors propose to keep the users engaged beyond the studies by facilitating a Living Lab community. This leads to a higher user engagement and a wider pool to select from for future Living Lab sessions.

However, the authors have to be careful to base conclusions on this protocol, due to the limited number of participants and, therefore, the authors suggest this is investigated further. Additionally, the authors feel the role of stakeholders, and who is in the lead, should be investigated further.

By reflecting on three Living Lab cases, the authors propose a ready-to-use Living Lab protocol that can be applied by anybody who is interested to design more suitable interventions for impaired users.

The building of a community as a basis of a Living Lab provides opportunities for all relevant stakeholders, and could reach beyond the development of interventions.

The paper provides hands-on insights on applying and developing a Living Lab protocol. This is done by structurally involving relevant stakeholders, while continuously adapting to the user’s needs. Only by continuing to do so, the societal challenges can successfully be addressed.