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This paper aims to study possible differences between the Outstanding Universal Value (OUV) defined in the designation of Cuenca as a World Heritage (WH) site and its inhabitants' perceptions of heritage value. The study is based on research conducted in the historic centre of Cuenca in Ecuador, which was accorded WH status in 1999.

The research employs both quantitative and qualitative methodologies, providing a complementary approach to the research subject. Quantitative research involved a probability survey of 400 informants randomly selected from the population of the canton of Cuenca, while qualitative research included 40 semi-structured interviews with residents and traders in the historic centre and 150 further written consultations with residents of the city.

Following the introduction, methodology and description, the paper presents the data gathered from the survey and interviews. These indicate inhabitants' perceptions of the meaning, values, and uses of WH in Cuenca and reveal differences between their perceptions and those of the official OUV.

Although there are several studies on WH residents' perceptions of UNESCO OUV, few highlight the mismatch between local community views of heritage and those established by UNESCO. This study reflects critically on the concept of OUV, which is based on technical and political criteria rather than social participation. The study employs methodologies that could be applied in other case studies and used to improve heritage management. This is the only study on local perceptions of Cuenca's OUV.

In order to mitigate the effects of climate change, the UK government has set a target of achieving net zero greenhouse gas (GHG) emissions by 2050. Agricultural GHG emissions in 2017 were 45.6 million tonnes of carbon dioxide equivalent (CO₂e; 10% of UK total GHG emissions). Farmland hedgerows are a carbon sink, storing carbon in the vegetation and soils beneath them, and thus increasing hedgerow length by 40% has been proposed in the UK to help meet net zero targets. However, the full impact of this expansion on farm biodiversity is yet to be evaluated in a net zero context. This paper critically synthesises the literature on the biodiversity implications of hedgerow planting and management on arable farms in the UK as a rapid review with policy recommendations. Eight peer-reviewed articles were reviewed, with the overall scientific evidence suggesting a positive influence of hedgerow management on farmland biodiversity, particularly coppicing and hedgelaying, although other boundary features, e.g. field margins and green lanes, may be additive to net zero hedgerow policy as they often supported higher abundances and richness of species. Only one paper found hedgerow age effects on biodiversity, with no significant effects found. Key policy implications are that further research is required, particularly on the effect of hedgerow age on biodiversity, as well as mammalian and avian responses to hedgerow planting and management, in order to fully evaluate hedgerow expansion impacts on biodiversity.

This study examines whether learning climate relates to employability competences through social informal learning (i.e. feedback, help and information seeking).

Multiple regression analyses and structural equation modeling were used to test direct and indirect effects in a sample of 372 employees working in two Dutch governmental institutes.

The analyses confirmed that learning climate has an indirect effect on employability competences through feedback, help and information seeking. More specifically, the findings suggest that learning climate is important for employees' engagement in proactive social informal learning activities. Engaging in these learning activities, in turn, relates to a higher level of employability.

This study employs an integrative approach to understanding employability by including the organization's learning climate and employees' social informal learning behavior. It contributes to the extant literature on professional development by unraveling how proactive social informal learning relates to employability competences. It also provides new insights on learning climate as a determinant for social informal learning and employability.

How does the human brain absorb information and turn it into skills of its own in psychotherapy? In an attempt to answer this question, the authors will review the intricacies of processing channels in psychotherapy and propose the term transprocessing (as in transduction and processing combined) for the underlying mechanisms. Through transprocessing the brain processes multimodal memories and creates reparative solutions in the course of psychotherapy. Transprocessing is proposed as a stage-sequenced mechanism of deconstruction of engrained patterns of response. Through psychotherapy, emotional-cognitive reintegration and its consolidation is accomplished. This process is mediated by cellular and neural plasticity changes.

Atomoxetine has been approved for the treatment of attention deficit/hyperactivity disorder in both adults and children. However, it is also being examined for several off-label uses in adults including mood disorders, eating disorders, cognitive dysfunction, and the treatment of addictions. Prior to such use it is important to examine the reported adverse events to see if this represents an appropriate level of risk. This is particularly important in the light of recent warnings from several regulatory bodies about an increase in blood pressure in a significant percentage of patients taking atomoxetine. To understand the risks a literature review was performed, and which identified the following potential problems. The first is that this drug should not be given in patients with known cardiovascular problems, and that all adult patients who receive atomoxetine should be monitored for changes in blood pressure throughout treatment. Secondly, there are several clinical situations in which atomoxetine should be closely monitored, or avoided, including patients who have a history or risk of narrow angle glaucoma, epileptic seizures, Tourette's syndrome, a history of urinary outflow obstruction, or who are pregnant or lactating. In conclusion, the current literature suggests that atomoxetine can be safely used off-label provided the above precautions are taken.

The purpose of this study was to explore the contributions of decent work situation to work–life balance of small entrepreneurs. The survey was conducted to uncover the degree and magnitude of essential decent work indicators that can aid the work–life balance situation of small ventures.

The study utilized a survey research design and used a five-point Likert type questionnaire to investigate the research questions. Each construct of the scale has its corresponding items, which were measured specifically. To analyze the latent variables, partial least square (PLS)–structural equation modelling with Smart PLS application was used.

The findings of this study reveal that social dialogue and stability and security of enterprise have the most significant effects in ensuring work–life balance of an enterprise. Additionally, social dialogue among entrepreneurs has influence in maintaining decent working hours and fair treatment at workplace.

The value of this study lies in exploring a new dimension of analyzing working conditions in informal sector economy such as small enterprises. Because this research aims to study ventures that are financed by the microcredit institution, whether social financing plays a role in improving work–life balance situation through empowering decent working conditions can be investigated.

The purpose of this paper is the need to build a novel approach that would allow flexible modeling and solving of food supply chain management (FSCM) problems. The models developed would use the data (data-driven modeling) as early as possible at the modeling phase, which would lead to a better and more realistic representation of the problems being modeled.

An essential feature of the presented approach is its declarativeness. The use of a declarative approach that additionally includes constraint satisfaction problems and provides an opportunity of fast and easy modeling of constrains different in type and character. Implementation of the proposed approach was performed with the use of an original hybrid method in which constraint logic programming (CLP) and mathematical programming (MP) are integrated and transformation of a model is used as a presolving technique.

The proposed constraint-driven approach has proved to be extremely flexible and efficient. The findings obtained during part of experiments dedicated to efficiency were very interesting. The use of the constraint-driven approach has enabled finding a solution depending on the instance data up to 1,000 times faster than using the MP.

Due to the limited use of exact methods for NP-hard problems, the future study should be to integrate the CLP with environments other than the MP. It is also possible, e.g., with metaheuristics like genetic algorithms, ant colony optimization, etc.

There is a possibility of using the approach as a basis to build a decision support system for FSCM, simple integration with databases, enterprise resource planning systems, management information systems, etc.

The new constraint-driven approach to FSCM has been proposed. The proposed approach is an extension of the hybrid approach. Also, a new decision-making model of distribution and logistics for the food supply chain is built. A presolving technique for this model has been presented.

The purpose of this paper is to identify the impact of traditionally unmonitored energy sources and sinks on assessment of the as-built thermal performance of occupied homes. The analysis aims to demonstrate the potential scale of uncertainties introduced in a heat balance estimation of the heat transfer coefficient (HTC) when using in-use monitored data.

Energy flows for two UK homes – one a 1930s dwelling with high heat loss, the second a higher-performing 2014-built home – are predicted using the UK Government’s standard assessment procedure (SAP) and visualised using Sankey diagrams. Selected modelled energy flows are used as inputs in a quasi-steady state heat balance to calculate in-use HTCs as if from measured data sets gathered in occupied homes. The estimated in-use HTCs are compared against SAP-calculated values to illustrate the impact of including or omitting various heat sources and sinks.

The results demonstrate that for dwellings with low heat loss, the increased proportion of heating demand met by unmetered internal and solar gains informs a greater sensitivity of a heat balance estimation of the HTC to their omission. While simple quasi-steady state heat balance methods may be appropriate for dwellings with very high heat loss, alternative approaches are likely to be required for those with lower heat loss.

A need to understand the impacts of unmetered heat flows on the accuracy with which a building’s thermal performance may be inferred from in-use monitored data is identified: this paper illustrates the scale of these impacts for two homes at opposite ends of the energy performance scale.

Based on the assumption of the service-dominant logic (S-D logic) that every exchange is service-for-service and on the relevance of the beneficiary’s role in the co-creation of value, this paper aims to investigate the effects of engagement in the context of social marketing, where the value proposition is an invitation to practice mindfulness.

A field experiment was carried out with 72 volunteers, using a pre-test/post-test control group design. The treatment applied was a set of strategies to increase the engagement of the participants to attain a better result in five dependent variables associated mainly with the benefits of mindfulness practice. Measurements were made from a profile analysis, and submitted to Mann-Whitney and t-tests.

A large effect of group and time factors were observed in the multivariate test, as well as differences in the co-creation of value between groups.

This study can contribute to stimulate experimental transdisciplinary research in humans, using concepts from S-D logic and social marketing to promote positive behavioral change. This approach is probably more efficient at explaining and improving human behavior, given its complex nature.

The purpose of this paper is to investigate psychometric properties of the Self-Efficacy for Therapeutic Use of Self (SETUS) scales, a questionnaire based on the Intentional Relationship model, and to investigate the factor structure and internal consistency of the English version of three-part SETUS questionnaire in occupational therapy students.

The sample of this cross-sectional study included 155 students with age range 18–30 years, of which 95% were women. Principal Components Analysis (PCA) was performed on the questionnaire scales, including the Self-Efficacy for Therapeutic Mode Use (SETMU), Self-Efficacy for Recognizing Interpersonal Characteristics (SERIC) and Self-Efficacy for Managing Interpersonal Events (SEMIE). The internal consistencies were calculated. Pearson correlation analysis was used to evaluate the strength of correlation among the scales.

The PCA confirmed that the items of each of the three proposed scales loaded strongly on one factor (self-efficacy for three factors of therapeutic mode use, recognizing interpersonal characteristics and managing interpersonal events). The Cronbach’s alpha for the SETMU, SERIC and SEMIE was 0.85, 0.95 and 0.96, respectively. The three scales significantly inter-correlated strongly (r ranging 0.74–0.83, all p < 0.001).

The SETUS questionnaire comprises three valid and reliable scales. It can be used by occupational therapy supervisors as a means to reflect on students’ self-efficacy in components of therapeutic use of self.