Brown sugar is a natural sweetener obtained by thermal processing, with interesting nutritional characteristics. However, it has significant sensory variability, which directly affects product quality and consumer choice. Therefore, developing rapid methods for its quality control is desirable. This work proposes a fast, environmentally friendly, and accurate method for the simultaneous analysis of sucrose, reducing sugars, minerals and ICUMSA colour in brown sugar, using an innovative strategy that combines digital image processing acquired by smartphone cell with machine learning. Data extracted from the digital images, as well as experimentally determined contents of the physicochemical characteristics and elemental profile were the variables adopted for building predictive regression models by applying the kNN algorithm. The models achieved the highest predictive capacity for the Ca, ICUMSA colour, Fe and Zn, with coefficients of determination (R2) ≥ 92.33 %. Lower R2 values were observed for sucrose (81.16 %), reducing sugars (85.67 %), Mn (83.36 %) and Mg (86.97 %). Low data dispersion was found for all the predictive models generated (RMSE < 0.235). The AGREE Metric assessed the green profile and determined that the proposed approach is superior in relation to conventional methods because it avoids the use of solvents and toxic reagents, consumes minimal energy, produces no toxic waste, and is safer for analysts. The combination of digital image processing (DIP) and the kNN algorithm provides a fast, non-invasive and sustainable analytical approach. It streamlines and improves quality control of brown sugar, enabling the production of sweeteners that meet consumer demands and industry standards.

Buildings are energy- and resource-hungry: their construction and use account for around 39% of global carbon dioxide emissions; they consume around 40% of all the energy produced; they are responsible for over 35% of the EU\'s total waste generation; and account for about 50% of all extracted (fossil) materials. Therefore, they present a significant challenge to meeting national and international Net Zero targets of reducing greenhouse emissions and fossil resource use. The CircularB Project, is at the heart of this issue, which will underpin synergies of multi-scale circular perspectives (from materials, to components, to assets and built environments), digital transformation solutions, data-driven and complexity science, stakeholder behavioral science, and interdisciplinary capabilities towards achievable, affordable and marketable circular solutions for both new and existing buildings, for sustainable urban design, and for circular built environments across Europe. This paper contributes to the project by deriving new insights into the stakeholders\' influences, inter-relationships, and obstacles in the implementation of circular economy concepts on existing building stocks in Europe, which represent over 90% of whole building assets. In order to identify and derive the insights, our study is rigorously based on (i) a robust critical literature review of key documentations such as articles, standards, policy reports, strategic roadmaps and white papers; and (ii) interviews with relevant stakeholders and decision makers. Uniquely, our work spans across all scales of CE implementation from materials, to products and components, to existing building stocks, and to living built environments. The findings point out the current challenges and obstacles required to be tackled. Inadequacies of financial incentives and governmental enforcement (via policy, legislation, or directive) are commonly found to be the most critical obstacles found throughout Europe. Circular economy is the global challenge and not just a single country can resolve the climate issue without the cooperation of other countries. The insights thus highlight the essential need for harmonized actions and tactical/pragmatic policies promoted and regulated by the European Commission, national and local governments who can dominate the influence, promote inter-relationship, and overcome the barriers towards circular economy much more effectively.

BACKGROUND: The retention of resuscitation skills is a widespread concern, with a rapid decay in competence frequently following training. Meanwhile, training programmes continue to be disconnected with real-world expectations and assessment designs remain in conflict with the evidence for sustainable learning. This study aimed to evaluate a programmatic assessment pedagogy which employed entrustment decision and the principles of authentic and sustainable assessment (SA).
METHODS: We conducted a prospective sequential explanatory mixed methods study to understand and address the sustainable learning challenges faced by final-year undergraduate paramedic students. We introduced a programme of five authentic assessments based on actual resuscitation cases, each integrating contextual elements that featured in these real-life events. The student-tutor consensus assessment (STCA) tool was configured to accommodate an entrustment scale framework. Each test produced dual student led and assessor scores. Students and assessors were surveyed about their experiences with the assessment methodologies and asked to evaluate the programme using the Ottawa Good Assessment Criteria.
RESULTS: Eighty-four students participated in five assessments, generating dual assessor-only and student-led results. There was a reported mean score increase of 9% across the five tests and an 18% reduction in borderline or below scores. No statistical significance was observed among the scores from eight assessors across 420 unique tests. The mean student consensus remained above 91% in all 420 tests. Both student and assessor participant groups expressed broad agreement that the Ottawa criteria were well-represented in the design, and they shared their preference for the authentic methodology over traditional approaches.
CONCLUSIONS: In addition to confirming local sustainability issues, this study has highlighted the validity concerns that exist with conventional resuscitation training designs. We have successfully demonstrated an alternative pedagogy which responds to these concerns, and which embodies the principles of SA, quality in assessment practice, and the real-world expectations of professionals.

Contaminated site management is a multiple objective decision-making that generally involves different factors, such as performance of technology, environmental effects, cost, and social influence. In this study, we developed a sustainability assessment-based methodology for the prioritization of contaminated site risk management options. We integrate remediation sustainable assessment and redevelopment sustainable assessment in one framework and allow the optimization of indicators. The framework started with the definition of site management type, then investigating site characterization, screening indicators, quantifying of indicator, selecting assessment model, selecting primary options, assessment with uncertainty analysis, and determining of preferred options. To demonstrate the utility of the framework, results are presented in a contaminate site in southwest China for two risk management decisions, site remediation and site redevelopment. We used different approaches to evaluate the stability and robustness of assessment results, including Monte Carlo simulation, scenario analysis, and sensitivity analysis. The demonstration showed that attention has to be paid to the proper description of the site, the principles of the procedure, and the decision criteria.

The needs of children and their vulnerability to diseases, violence and poverty are different from those of adults. The Sustainable Child Development Index (SCDI) was thus developed in previous work to evaluate the status of sustainable development for countries with a focus on children and triple-bottom-line thinking. This study proposes application options to put the SCDI into practice. The SCDI can be performed similarly to existing development indices, for comparing and tracing the performance of sustainable development on different geographic levels and between population groups. In addition, the SCDI can be integrated into existing social sustainability assessment approaches (e.g., Social Life Cycle Assessment and Social Organizational Life Cycle Assessment) and databases (e.g., The Social Hotspots Database) to take children into account and enhance impact assessment of social sustainability assessment approaches. As an exemplification, this study demonstrates the application of the SCDI framework to support the development of social impact pathways. Due to the importance of tertiary education in reducing poverty, a preliminary social impact pathway addressing completion of tertiary education was established. By putting the SCDI into practice, the SCDI can support decision making in child as well as sustainable development policies.