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In Zimbabwe a lot of studies have been done on nutrition, breeding, physiology and health of farm cows but with little or no consideration of the impacts of these studies on cow welfare. As a result political importance and practical progression of cow welfare is still lagging behind in the country just like most developing countries. The aim of this study was to evaluate the welfare status of dairy cows from large scale dairy farms through an assessment of risk factors/drivers and indicators of cow welfare. For this study 728 dairy cows from all the 31 large scale dairy farms in Midlands Province, Zimbabwe, were selected for the study noting down risk factors and indicators of dairy cow welfare during both the dry and rainy season. Human avoidance distance test results revealed that 81% of the cows were touched by the approaching stockpeople, whereas 19% could not be touched, and this was significantly associated with breed of the cow (χ2 = 115, DF = 9, P < 0.0005). From the study 95% of the cows examined were not lame (score 1) and for those that were lame only 0.6% (n = 4) had severely impaired mobility (score 5). Whereas 30% of the cows observed during the rainy season were heavily soiled with manure (score 4), only 1% of the cows observed during the dry season were heavily soiled (score 4). Cow cleanliness was significantly associated with manure accumulation in housing and handling facilities in both study 1 (χ2 = 18, DF = 6, P = 0.006) and study 2 (χ2 = 47, DF = 6, P < 0.001). The average body condition score of observed dairy cows from both study 1 and study 2 was fair (BC = 3) and body condition was signficantly associated with the breed of cow in both study 1 (χ2 = 22, DF = 12, P = 0.039), and study 2 (χ2 = 38, DF = 12, P < 0.005). Exotic breeds like the Holstein generally faired low when compared to locally adapted breeds like theAyrshire. [ABSTRACT FROM AUTHOR]

With the increasing uncertainty of the external environment, the capabilities of companies become the driving force behind their operations and development, making the management of these capabilities an important task for management. The aim of the research is to develop a toolkit for measuring a company’s capabilities, assessing their condition, and evaluating their impact on productivity. The author’s concept is presented, according to which the final results of the company’s activity are formed through the mechanism of interaction of the company’s organizational capability with acquired resources, the formation of resource capabilities (production, financial, labor, and market) and their transformation into tangible and intangible products. Based on this model, methodological guidelines have been developed for measuring the capabilities of organizations and assessing their impact on the final results, a value-functional approach to selecting appropriate indicators, and analytical tools. The following methods have been substantiated: modeling, the indicator method, data convolution, scaling, and statistical methods. To measure capabilities, it is proposed to use indicators aggregated into composite indices through a developed algorithm. The use of sales growth rate, market capitalization, profit before taxes, and net cash flow as the final results of the company (productivity indicators) has been justified. To solve analytical tasks at different levels of management, combinations of methods, tools and indicators called “research formats” (detailed, diagnostic, express diagnostic analysis) were developed. The results of the empirical testing of the author’s research are presented: through detailed analysis, the validity of the proposed approach and tools has been established, and through diagnostic analysis, the stability of the selected indicators and constructed mathematical models beyond the observation period was identified. The result is a toolkit for researching crucial company’s capabilities, enabling management to analyze and monitor these capabilities, assess their productivity, make forecasts of productivity indicators, and develop a system for managing the organization’s capabilities.

In today’s context, with the interference of technology in the workplace, peoples activities are increasingly sedentary. So, naturally, fitness is becoming more and more popular, fitness centres mushrooming and the variety of products and services on offer is on the rise. They carry out a mixed activity, both service provision (through the packages offered) and commercial (through the sale of supplements and equipment), with a specific accounting approach that naturally outlines certain patterns at the level of the financial statements. This article aims to capture the particularities of current accounting and the valorisation of the information from financial reports at the level of a fitness center in Arad, which appeared on the market in the post-pandemic context. The accounting specificity will be emphasised by means of current operations, and the financial reporting specificity will be highlighted by determining and interpreting a number of relevant static and dynamic indicators.

Abstract Background Improving the quality of breastfeeding counselling delivered by primary care providers can improve breastfeeding outcomes and ultimately reduce mortality and morbidity of children and mothers. Accurate data on coverage and quality of primary care breastfeeding counselling is essential for monitoring progress; however, global and national indicators are limited. To help address this gap, this study validated indicators of receipt and quality of breastfeeding counselling during routine consultations for infant care at seven primary health facilities across Kosovo. Methods Mothers’ reports of breastfeeding counselling received during routine consultations for their infants (0–12 months of age) were collected by exit interview in 2019 and 2021 (n = 609). Responses were compared against direct observation of their consultation using a structured checklist (reference standard) by a trained third-party observer at the primary care facility. We assessed 13 indicators; ten were related to the receipt and content of breastfeeding counselling, and three were specific to the provider’s interpersonal skills. We calculated sensitivity, specificity, and area under the receiver operating curve (AUC) to determine individual-level reporting accuracy. Results Ten indicators had an agreement rate above 70% and seven indicators had high overall individual-level validity (AUC ≥ 0.7). High prevalence indicators recorded high sensitivity and low specificity, and the inverse for low prevalence indicators. More subjective indicators were less reliable, e.g., mothers over-reported the prevalence of all three indicators related to providers’ interpersonal skills. Conclusions This study offers evidence on breastfeeding counselling quality by validating maternal reports of whether a provider discussed breastfeeding, the clinical content of that counselling, and how it was delivered. It is also situated in a primary care setting within a fragile state of which there is limited evidence. We observed that mothers reported accurately when asked directly to recall breastfeeding counselling services received. However, there is a need to further validate subjective questions about interpersonal skills and other measures for the ‘experience of care’ quality dimension.

Abstract This study explored a Bayesian belief networks (BBNs) approach, developing two distinct models for prioritizing the seven indicators related to the “rapid response to and mitigation of the spread of an epidemic” category within the context of both the specific category and the Global Health Security Index (GHS index). Utilizing data from the 2021 GHS index, the methodology involves rigorous preprocessing, the application of the augmented naive Bayes algorithm for structural learning, and k-fold cross-validation. Key findings show unique perspectives in both BBN models. In the mutual value of information analysis, “linking public health and security authorities” emerged as the key predictor for the “rapid response to and mitigation of the spread of an epidemic” category, while “emergency preparedness and response planning” assumed precedence for the GHS index. Sensitivity analysis highlighted the critical role of “emergency preparedness and response planning” and “linking public health and security authorities” in extreme performance states, with “access to communications infrastructure” and “trade and travel restrictions” exhibiting varied significance. The BBN models exhibit high predictive accuracy, achieving 83.3% and 82.3% accuracy for extreme states in “rapid response to and mitigation of the spread of an epidemic” and the GHS index, respectively. This study contributes to the literature on GHS by modeling the dependencies among various indicators of the rapid response dimension of the GHS index and highlighting their relative importance based on the mutual value of information and sensitivity analyses.

Abstract This study reviews recent advancements in food science and technology, analyzing their impact on the development of intelligent food packaging within the complex food supply chain. Modern food technology has brought about intelligent food packaging, which includes sensors, indicators, data carriers, and artificial intelligence. This innovative packaging helps monitor food quality and safety. These innovations collectively aim to establish an unbroken chain of food safety, freshness, and traceability, from production to consumption. This research explores the components and technologies of intelligent food packaging, focusing on key indicators like time–temperature indicators, gas indicators, freshness indicators, and pathogen indicators to ensure optimal product quality. It further incorporates various types of sensors, including gas sensors, chemical sensors, biosensors, printed electronics, and electronic noses. It integrates data carriers such as barcodes and radio-frequency identification to enhance the complexity and functionality of this system. The review emphasizes the growing influence of artificial intelligence. It looks at new advances in artificial intelligence that are driving the development of intelligent packaging, making it better at preserving food freshness and quality. This review explores how modern food technologies, especially artificial intelligence integration, are revolutionizing intelligent packaging for food safety, quality, reduced waste, and enhanced traceability.

Abstract Can Well-being Be Measured? Reflections on the Spatial Dimension of the OECD Better Life Index Indices developed by international research organizations assume value in the adoption of new policies. This paper aims to present the role that these indices have taken on in order to investigate the methodology adopted and understand the role that the space between the indicators used takes on. Specifically, the Better Life Index that the OECD develops is examined, analyzing and mapping the indicators used. Some critical issues emerge, and in particular the absence of the spatial dimension among the parameters considered. The paper reflects on the relevance of this gap and highlights the importance of the relationship with space in assessing well-being.

Abstract This study aims to obtain a composite index characterizing Bulgarian districts about their creativity by presenting results for the pre-pandemic. The composite index developed by Rodrigues and Franco (2019), use of quantitative method and multivariate statistical techniques have been used to answer this objective. From the data gathered primarily from NSI- The National Statistical Institute of Bulgaria, the results show that creativity is one of the pillars of economic growth, and financial resources and local and foreign investment for its development are still very limited. The government and cultural organisations supported initiatives to showcase the country's cultural diversity and historical significance. The creative sector, including design, arts, media, and technology started to be seen as a driving force for the country's economic growth. Startups and creative entrepreneurs are increasingly gaining weight, which has led to the creation of creative centers, and co-working spaces. Therefore, this study contributes to the intelligent application of creative cities’ ideas in the creative industries and contemporary cities’ management.

Wetlands are present within intricate ecological settings, exhibiting dynamic changes over time and across different areas with regard to their functional and structural diversity. Several approaches have been introduced for ecosystem analysis and management since 1990s, where Driver – Pressure – State – Impact – Response (DPSIR) framework is one of the widely used approaches for assessing and managing environmental problems. In this study, we proposed a DPSIR framework as a model in the Sebkhates of Aures wetland complex (SAWC, Northeast of Algeria), in order to create a regional wetland observatory to deliver ecosystem services within current state of changes resulted from socioeconomic drivers. DPSIR facilitates the identification of essential indicators to detect threats to the Sebkahtes of Aures wetlands complex (SAWC), influencing policymakers to enhance the protection and management of these wetlands. In line with the established DPSIR framework. This same approach and methodology could be applied to the other 15 wetlands complexes known in Algeria, culminating in the creation of a national wetland observatory. Furthermore, DPSIR can be employed as an analytical tool for policy making in the context of sustainable management of wetland ecosystems and can serve as a model in the establishment and development of various observatory programs in Algeria.

This research aimed to identify and analyze the indicators of multiple intelligence theory as depicted in the movie The Karate Kid (2010). The researchers employed a documentation method for data collection and applied Howard Gardner's theory of multiple intelligences, proposed in 1983, to validate their findings. To introduce innovative approaches for enriching educational materials, the study also reviewed previous research on multiple intelligence theory. Utilizing a descriptive qualitative methodology, the research thoroughly examined the movie’s content. The results indicated that six out of Gardner's nine intelligence indicators were illustrated in various scenes: spatial (visual) intelligence, musical (audio) intelligence, bodily-kinesthetic intelligence, interpersonal intelligence, intrapersonal intelligence, and naturalistic intelligence. These findings underscore the diverse ways in which multiple intelligences can be represented and recognized within cinematic narratives, providing a valuable framework for educational and psychological applications. The research highlights the potential of films like The Karate Kid as effective tools for demonstrating and teaching the principles of multiple intelligences, thereby enriching educational practices and supporting holistic development.

The Global Sustainable Development Goals, announced by the UN General Assembly in 2015, today serve as a guideline for developing the national economy of Ukraine and its food system. The unprecedented challenges of the new millennium – the pandemic and the military aggression of the Russian Federation – distanced Ukraine from their implementation. In this regard, the article aims to reveal the prerequisites for the development of the food system and identify today's challenges to determine the most effective and efficient directions for solving problems and means of achieving the Sustainable Development Goals. The research uses the following methods: systemic generalization – to systematize the risks and challenges of the food system in the context of achieving the Sustainable Development Goals; method of comparisons and dynamic method – to assess the state of production and consumption; regression equations – to determine the forecast indicators of individual indicators of the Sustainable Development Goals and possible changes in food consumption volumes in the future. The content of the concept of sustainability and sustainable development of the food system was defined. Prerequisites for the sustainable development of the food system were identified, particularly Ukraine's leadership in food exports, the existing potential of land, and the growth of food production and consumption. The work assessed food production indices during periods of crisis, such as during a pandemic and martial law. A functional diagram of the food system's prerequisites and challenges for sustainable development in the context of the Sustainable Development Goals has been developed. An analysis of the dynamics of individual SDG indicators and trends in their development was carried out. Indicators of sufficiency of consumption of basic food products by recommended consumption standards are analyzed. The results of the study show that despite the unprecedented challenges, the food system of Ukraine is gradually adapting to modern conditions, restoring the economy and strengthening food security in the regions of Ukraine; humanitarian, economic, and economic ties are being established.

Profit is a measure of the success of enterprises, it is quantified from the difference between revenues and costs. It fulfils several functions, whether distributive, accumulative, motivational. Many factors influence its formation and development. Profit represents an internal source of financing for business activity. The main objective of the paper is to evaluate the formation and development of profit or loss and its forms in selected wineries in Slovakia. In Slovakia, the wine industry has a long tradition. The paper was focused on the evaluation of costs, revenues as two important factors affecting the formation of the profit or loss. Profit/loss was reflected in the quantification and analysis of profitability indicators, which are referred to as profitability, return indicators. Based on the results of calculations of individual indicators, it can be stated that the set of 120 wineries showed a profit, which positively affected the values of profitability indicators. Wineries showed a loss only from financial area

The article considers the components of the innovation potential of Russian regions that are fully or partially included in the Arctic zone. The purpose of the article is to analyze and evaluate the state and dynamics of innovative development of the regions of the Arctic zone of the Russian Federation. The methodology for calculating the composite index of innovative development is proposed. The calculations are made on the basis of the database formed by the authors, which consists of four blocks; the main conclusions on the blocks are formed. According to the composite index for the period 20152021, the leading positions are occupied by the Krasnoyarsk Krai, the Arkhangelsk Oblast and the Komi Republic, and the Republics of Karelia, Sakha (Yakutia) and Komi in terms of the index growth rate. The study of the state, dynamics and level of innovation development in the regions of the AZRF shows that some components of innovation potential are unevenly developed in the regions that are fully or partially included in the AZRF. At the same time, the regions differ in the dynamics of innovative development. Thus, the worst indicators of innovative development in accordance with the proposed methodology are observed in the Arkhangelsk Oblast, Chukotka and Nenets Autonomous okrugs. The high correlation between the composite index of innovative development and indicators of socio-economic development of the regions revealed by the authors characterizes the positive impact of innovation activity on the socio-economic development of the AZRF subjects. In this regard, the key recommendations are the following: improvement of legislative support for the formation of eco-industrial, tourist zones, innovation sites and cluster formations in the Arctic territory within the framework of testing new formats of economic intensification of the Russian Arctic regions; formation of a macro-regional register of suppliers of innovative products for the projects of residents of the AZRF with the distribution of preferential measures of a special economic and administrative regime. The prospects of the research are related to the study of critical vulnerabilities in the production and technological processes of the sectors of specialization of the Arctic regions in import substitution.

Assessing tourism sustainability has become of paramount importance to researchers and policymakers in regard to better protecting tourism destinations, particularly with the continued increase in the number of tourists and visitors who alter the natural components of the environment and degrade ecosystems. The use of geographic data is of great importance, as it can serve as a dashboard for monitoring and controlling the sustainability of tourist areas. Due to their diversity and abundance in the city of Tangier, these tools are available and easy to use. The medina of Tangier is used as a calculation example, a method that will also be applicable to other areas of the metropolitan city and to other cities as well. Based on the annual meeting of the different component of society involved in the Medina of Tangier, the data are extracted and integrated into the proposed model through a plugin interface. Therefore, the use of geographic data is of great importance, especially in environmental monitoring and land management, due to its ease of use and availability. However, calculating composite sustainability indices involves several steps and requires a basic understanding of existing models. This article describes the development and design of a plugin package in QGIS that serves as an easy-to-use tool to automatically process and calculate economic, environmental and social indices and the overall tourism sustainability index. These plugins were built in Python and designed as plugins for the QGIS software version 3.22.

The article presents the results of the development of indicators for monitoring the process of developing standardization documents. An integral part of the management of the standardization document development process is the monitoring system. The monitoring system allows you to monitor and control key indicators of the standardization document development process. Also, the use of a monitoring system makes it possible to form a reference base for analyzing the causes of deviations in the values of indicators. At the same time, an important task is to evaluate the effectiveness of the monitoring system and the mathematical justification of the indicator for evaluating the effectiveness of the monitoring system, taking into account errors in the implementation of the monitoring process.

Abstract Alzheimer’s disease (AD), breast cancer (BC) and prostate cancer (PC) continue to be high in the research and innovation agenda of the European Commission (EC). This is due to their exceptionally large burden to the national health systems, the profound economic effects of opportunity costs attributable to decreased working ability, premature mortality and the ever-increasing demand for both hospital and home-based medical care. Over the last two decades, the EC has been steadily increasing both the number of proposals being funded and the amounts of financial resources being allocated to these fields of research. This trend has continued throughout four consecutive science funding cycles, namely framework programme (FP)5, FP6, FP7 and Horizon 2020 (H2020). We performed a retrospective assessment of the outputs and outcomes of EC funding in AD, BC and PC research over the 1999–2019 period by means of selected indicators. These indicators were assessed for their ability to screen the past, present and future for an array of causal relationships and long-term trends in clinical, epidemiological and public health sphere, while considering also the broader socioeconomic impact of funded research on the society at large. This analysis shows that public–private partnerships with large industry and university-based consortia have led to some of the most impactful proposals being funded over the analysed time period. New pharmaceuticals, small molecules and monoclonal antibodies alike, along with screening and prevention, have been the most prominent sources of innovation in BC and PC, extending patients’ survival and enhancing their quality of life. Unlike oncology, dementia drug development has been way less successful, with only minor improvements related to the quality of supportive medical care for symptoms and more sensitive diagnostics, without any ground-breaking disease-modifying treatment(s). Significant progresses in imaging diagnostics and nanotechnology have been largely driven by the participation of medical device industry multinational companies. Clinical trials funded by the EC were conducted, leading to the development of brand-new drug molecules featuring novel mechanisms of action. Some prominent cases of breakthrough discoveries serve as evidence for the European capability to generate cutting-edge technological innovation in biomedicine. Less productive areas of research may be reconsidered as priorities when shaping the new agenda for forthcoming science funding programmes.

Quantification of states, corporations, nature or self has become pervasive in the past 40 years. The water world’s struggles are rife with, and shaped by, numbers, indicators, metrics and models. This review explores how the production, promotion and use of 'water numbers' conceals deeply political processes, hypotheses, worldviews, intents, old habits and new fashions. Whether embodied in scientific or expert practices, or in indicators, thresholds, water accounts or cost–benefit analyses, water numbers promote specific values and interests; they also obfuscate complexity, heterogeneities and uncertainties, they manufacture legitimacy and authority, and they act as control devices to shape behaviour We offer a more detailed analysis of water indicators that describe water scarcity, ecological status, progress towards SDG 6, and embody New Public Management principles. We end with a call for critical water studies to more forcefully engage with these debates, in line with the centrality of quantification in water management and policy.

At a rhetorical level, the SDGs provide a unified global agenda, and their targets and indicators are believed to drive action for social and environmental transformation. However, what if the SDGs (and their specific goals and indicators) are more of a problem than a solution? What if they create the illusion of action through a depoliticised and technical approach that fails to address fundamental dilemmas of politics and power? What if this illusion continues to reproduce poverty, inequality, and environmental degradation? This paper addresses these questions through a focus on SDG 6.5.1 – the implementation of integrated water resources management (IWRM), measured on a 0-100 scale through a composite indicator. The paper presents an empirical analysis of SDG 6.5.1 reporting in Colombia, Ethiopia, India, Malaysia, and the UK, drawing on research from the Water Security and Sustainable Development Hub.1 An evidence review and series of expert interviews are used to interrogate the local politics of IWRM measurement, specifically three dilemmas of global composite indicator construction: (1) reductive quantification of normative and contested processes; (2) weak analysis of actually existing institutional capability, politics, and power; and (3) distracting performativity dynamics in reporting. The paper concludes that SDG 6.5.1 is an example of a 'fantasy artefact', and that in all countries in this study, IWRM institutions are failing to address fundamental and 'wicked' problems in water resources management. We find little evidence that these numbers, or the survey that gives rise to them, drive meaningful reflection on the aims or outcomes of IWRM. Instead, they tend to hide the actually-existing political and institutional dynamics that sit behind the complexity of the global water crisis.

Improving health is now a major societal goal around the world, with clear direct benefits both in terms of economic development (efficiency in the use of human capital) and in terms of longer and better lives for millions of people. It is also recognised by the global community that improving the health of populations can bring significant indirect benefits to the economy by accelerating social and economic development and improving their quality of life. In this regard, the modernisation of the healthcare system is not only a priority task to be solved within the framework of the region's socio-economic policy, but also a necessary condition for the functioning and development of the region's socio-economic system, ensuring an increase in the efficiency of the region's human capital. Objective. The purpose of the article is to develop scientifically sound approaches to the development of the regional healthcare system, which will ensure an increase in the efficiency of the use of human capital in the region. Methodology. The methodological basis of the study is methodological approaches to the development of the regional healthcare system as a factor of increasing the efficiency of human capital use as a factor of increasing the efficiency of human capital use. Practical implications. The practical significance of the study lies in the possibility of using the tools and methods, as well as the recommendations set out in the study, in the development of the regional healthcare system as a factor in improving the efficiency of human capital use. Value/Оriginality. It is substantiated that the core of the socio-economic system of the region, which determines the state of human capital, is social infrastructure, in particular healthcare, which forms human capital and determines the possibilities of its use for socio-economic development.

Abstract Context Palliative care (PC) in most African countries remains under-assessed. Benin has piloted the implementation of a set of indicators proposed by the WHO to measure PC development. Objectives To examine the current status of PC in Benin. Methods A workshop with stakeholders was organized to assess the WHO indicators in the Beninese context. Indicators were rated based on relevance and feasibility, data sources were agreed upon, and a survey was adapted. Data were collected between March and May 2023. Results There is emerging community involvement in PC through the presence of patients’ rights promoters, as well as a political commitment expressed in the National PC strategy, the inclusion of PC services in the list of basic health services, and an assigned national authority –within the Ministry of Health–responsible for PC. Although no PC-oriented research has been documented, the celebration of the National PC Conference represents the first step to ground PC delivery in evidence. The reported annual consumption of opioids is 0.18 (ME) milligrams per capita, 34% of healthcare establishments have essential medicines for pain and PC, and 16.5% of patients with palliative needs have access to oral morphine. To date, no medical or paramedical schools offer PC training, and there is no official specialization in palliative medicine for doctors. PC is provided by 11 specialist teams (0.08/100,000 inhabitants), none of which provides pediatric care. Conclusion Despite growing political, professional, and community commitments to palliative care, there are challenges in education, research, essential medicines, and access to PC services.

Abstract Key message A Soil Monitoring Law to improve soil health across all land uses has been proposed by the European Commission. As forests soils have different chemical and physical properties as well as biogeochemical dynamics compared to agricultural land, they also face different challenges in maintaining and restoring soil health. Examples are soil acidification, eutrophication by atmospheric deposition, responses to climate change, and loss of biodiversity. Therefore, we propose forest soil specific health descriptors and thresholds based on experience and knowledge from existing long-term monitoring programs.

For many researchers the task of assessing the socio-economic security of a region involves using a system of security criteria based on comparng the values of indicators of the regional system with fixed threshold levels. This approach, at best, provides an assessment of the current state of the security of the regional system, but does not allow predicting the reaction of the state of the security system to the negative impact of external factors. For this it is necessary to additionally take into account sustainability - an ability of the regional security system to resist the impact of external threats. Therefore, diagnosing the ecosystem of the region should include steps to assess sustainability. From this point of view, resilience-diagnostics can be considered as a superstructure on the system of diagnostics of the socio-economic security of the region, and for the integration of diagnostic processes, general computational algorithms should be used based on the digital model of the regional security system - a digital twin. The article presents an algorithm for resilience-diagnostics of the ecosystem of the region based on the digital twin model of the ecosystem security, the results of its testing, including graphic visualizations in the form of heat maps, digital portraits of the security and sustainability of the ecosystem of the region.

Subway button detection is paramount for passenger safety, yet the occurrence of inadvertent touches poses operational threats. Camera-based detection is indispensable for identifying touch occurrences, ascertaining person identity, and implementing scientific measures. Existing methods suffer from inaccuracies due to the small size of buttons, complex environments, and challenges such as occlusion. We present YOLOv8-DETR-P2-DCNv2-Dynamic-NWD-DA, which enhances occlusion awareness, reduces redundant annotations, and improves contextual feature extraction. The model integrates the RTDETRDecoder, P2 small target detection layer, DCNv2-Dynamic algorithm, and the NWD loss function for multiscale feature extraction. Dataset augmentation and the GAN algorithm refine the model, aligning feature distributions and enhancing precision by 6.5%, 5%, and 5.8% in precision, recall, and mAP50, respectively. These advancements denote significant improvements in key performance indicators. [ABSTRACT FROM AUTHOR]

Background: Improving the quality of breastfeeding counselling delivered by primary care providers can improve breastfeeding outcomes and ultimately reduce mortality and morbidity of children and mothers. Accurate data on coverage and quality of primary care breastfeeding counselling is essential for monitoring progress; however, global and national indicators are limited. To help address this gap, this study validated indicators of receipt and quality of breastfeeding counselling during routine consultations for infant care at seven primary health facilities across Kosovo. Methods: Mothers' reports of breastfeeding counselling received during routine consultations for their infants (0–12 months of age) were collected by exit interview in 2019 and 2021 (n = 609). Responses were compared against direct observation of their consultation using a structured checklist (reference standard) by a trained third-party observer at the primary care facility. We assessed 13 indicators; ten were related to the receipt and content of breastfeeding counselling, and three were specific to the provider's interpersonal skills. We calculated sensitivity, specificity, and area under the receiver operating curve (AUC) to determine individual-level reporting accuracy. Results: Ten indicators had an agreement rate above 70% and seven indicators had high overall individual-level validity (AUC ≥ 0.7). High prevalence indicators recorded high sensitivity and low specificity, and the inverse for low prevalence indicators. More subjective indicators were less reliable, e.g., mothers over-reported the prevalence of all three indicators related to providers' interpersonal skills. Conclusions: This study offers evidence on breastfeeding counselling quality by validating maternal reports of whether a provider discussed breastfeeding, the clinical content of that counselling, and how it was delivered. It is also situated in a primary care setting within a fragile state of which there is limited evidence. We observed that mothers reported accurately when asked directly to recall breastfeeding counselling services received. However, there is a need to further validate subjective questions about interpersonal skills and other measures for the 'experience of care' quality dimension. [ABSTRACT FROM AUTHOR]

The watersheds are fundamental in the management of social policies, allowing for the measurement of physical and socioeconomic characteristics through indicators such as the HDI and SII. This study aims to develop the Socioeconomic Analysis Indicator (SAI) for the sub-basins of the Sorocabuçu River (SRB), using a fuzzy system and geoprocessing tools for zoning information by sub-basins. The HDI of the SRB resulted in high values, with income showing the lowest indices, followed by education and longevity. The SII showed low values, with income and literacy significantly contributing to socioeconomic vulnerability. The SAI results indicated reasonable socioeconomic conditions, with lower values in the sub-basins farther from urban and urbanized areas. This study provides data for the establishment of public policies aimed at reducing social and economic inequalities, prioritizing the most vulnerable sub-basins. The data obtained serve as an effective tool to support public management, promoting decisions that improve the quality of life of the local population through the integration of socioeconomic variables for a more holistic and sustainable approach to watershed management. [ABSTRACT FROM AUTHOR]

The investigation into the spatial distribution of living woody (LWD) and coarse woody debris (CWD) within forests represents a fundamental methodology for probing the inherent mechanisms governing coexistence and mortality within forest ecosystems. Here, a complete spatial randomness (CSR) null model was employed to scrutinize the spatial pattern, while canonical correspondence analysis (CCA) and the Torus-translation test (TTT) were utilized to elucidate the distribution patterns of LWD and CWD within warm-temperate deciduous broadleaf secondary forests in Dongling Mountains plot, northern China. The results reveal that both LWD and CWD exhibit an aggregated distribution as the predominant pattern in the Dongling Mountains plot, with the proportion and intensity of aggregation diminishing as spatial scale increases. Specifically, the aggregation intensity g0–10 demonstrates a significant negative correlation with abundance and maximum diameter at breast height (DBH). Notably, the g0–10 of LWD manifests a stronger correlation with the maximum DBH, whereas the g0–10 of CWD exhibits a greater association with the mortality rate. CCA outcomes suggest that elevation, convexity, and aspect significantly impact LWD distribution, whereas CWD distribution shows substantial negative correlations with elevation, convexity, slope, and aspect. TTT findings indicate that ecosystems characterized by a substantial presence of LWD also display a notable prevalence of CWD. Additionally, the majority of species exhibit no habitat preference, displaying neutral habitat connections and low ecological niche differentiation within the sampled plot. [ABSTRACT FROM AUTHOR]

In the context of the growing demand for alternative protein sources with the growth of the human population and increasing ecological awareness, the rearing of yellow mealworm larvae (Tenebrio molitor) is a promising option for the production of sustainable protein. The article presents a comprehensive approach to planning and scheduling the production of yellow mealworm larvae in a small enterprise, focusing on the organizational, technical, and economic aspects of the production process. The production installation, the method of rearing using an automated feeding system, and the monitoring of larvae development were described and an attempt was made to identify the key parameters of the process that affect its efficiency. Particular attention was paid to the calculation algorithm implemented in the spreadsheet, which allows the selection of the production batch size and the frequency of their launch, so as to maximize the available capacity of storage racks for cuvettes. In addition, the article analyses logistical challenges related to the production of larvae, including transport activities in order to meet, among others, the demand for feed. Finally, the estimation of revenues and economic indicators, such as profitability and return on investment, is presented, pointing to the need for further improvements in the production process and cost optimization to achieve favorable financial results. The results of the research emphasize the potential of rearing yellow mealworm larvae as a sustainable source of protein while simultaneously pointing to key areas that require further research and development. [ABSTRACT FROM AUTHOR]

The present study investigating the reputation of fruit growing is the final part of a three-stage research approach. Based on a structural model, a consumer survey (N = 751) was conducted to determine the reputation and the importance of the indicators in reputation formation. Multiple regression analysis was applied to quantify the relationship between formative indicators and reputation, while factor analysis was employed to quantify reputation and reflective indicators. The results of the empirical study show a clear positive reputation for fruit growing and the entire sector. The respondents' prior knowledge of fruit growing further increases this effect. Indicators that significantly determine reputation are "product and service," "work," and "economic performance." The moderating variables influence individual indicators to vary degrees in their relationship with the reputation construct. Overall, however, the results show a low perception by the consumers of the segment at the producer level. [ABSTRACT FROM AUTHOR]

Global biogeochemical cycles have been widely altered due to human activities, potentially compromising the ability of plants to regulate their metabolism. We grew experimental herbaceous communities simulating the understory of eucalypt forests from southeastern Australia to evaluate the effects of elevated CO2 (400 vs. 650 ppm) and changes in soil resource availability (high-low water and high-low P) on the concentration of fourteen essential plant macro- and micronutrients, and their degree of coupling. Coupling was based on correlations among all elements in absolute value and a null modeling approach. According to the ancient nature of Australian soils, P addition was the main driver of changes in plant tissue chemistry, increasing the concentrations of P, Mg, Ca, and Mn and reducing the concentrations of C, N, S, Na, and Cu. Most treatment combinations showed coupled patterns of plant elements, particularly under ambient CO2. However, under elevated CO2, elements in plant tissues became more decoupled, which was interpreted as the result of a lack of enough supply of a range of elements to satisfy greater demands. Across treatments, P, Mn, and N were the least coupled elements, while K, Ca, and Fe were the most coupled ones. We provide evidence that plant element coupling was positively related to the concentration and coupling of elements measured in soils worldwide, suggesting that plant element coupling is conserved. Our results provide compelling evidence that evaluating the coupling of a representative range of chemical elements in plant tissues may represent a highly novel and powerful indicator of nutritional mismatches between demand and supply under specific environmental circumstances, including in a resource-altered global change context. [ABSTRACT FROM AUTHOR]

Cities located in the Arctic often have extreme geographic and environmental contexts and unique sociopolitical and economic trajectories that, when combined with amplified effects of climate change in the region, impact future sustainable development. Well-recognized and standardized sustainable development indicator (SDI) frameworks such as ISO 37120 or UN-Habitat City Prosperity Index are often used to compare data across cities globally using comprehensive sets of indicators. While such indexes help characterize progress toward development and guide short- and long-term decision-making, they often lack relevance to specific contexts or characterize future visions of urban growth. To evaluate the extent of these deficiencies and to provide a comparative analysis of approaches to sustainable urban growth in the Arctic, this paper analyzes city planning documents for five northern cities - Anchorage (USA), Utqiagvik (USA), Reyjavik (ISL), Iqaluit, (CAN), Whitehorse, (CAN) - for goals, targets, and indicators and compare these to thematic areas and indicators defined by ISO 37120:2018 Sustainable Cities and Communities. The results confirm that although international SDI frameworks may be useful for comparative analysis of cities across diverse regions, they exclude important local factors that influence goal-oriented urban sustainability planning strategies employed in the Arctic region. [ABSTRACT FROM AUTHOR]

Climate change's impact on health, specifically increasing temperatures, has become a prominent field of study worldwide. Although its importance is growing, decision makers still have little knowledge on the subject. Developing indicators to monitor spatial and temporal trends of health impacts due to climate change is a vital advancement needed to encourage policy adaptations. This research proposes an approach to producing annual estimates for heat-related mortality as an indicator to support these policies. The first step was to develop temperature-mortality relationships for each of the 96 metropolitan French departments, for the summer months (June–September) between 2014 and 2022. Several approaches were tested to control for a possible influence of the COVID-19 pandemic since 2020. The temperature-mortality relationships were used to compute the annual mortality attributable to heat for the same years, and for 2023. Heat-related risks were slighly higher after the pandemic; an increase from 19.8 °C to 28.5 °C was associated with a relative risk of 1.25 [CI 95% 1.21:1.30] in 2004–2019, and 1.31 [1.24:1.38] in 2020–2022. Between 2014 and 2023, 37,825 deaths [IC 95% 34,273: 40,483] were attributable to heat. The largest impacts were observed in 2022 (6,969 [6277: 7445]), 2023 (5167 [4587; 5551]), and 2019 (4441 [4086: 4717]). The annual indicator of heat-related mortality documents the mortality impact of heat during the summer and during extreme heat waves. It shows that the impact is increasing, despite major prevention efforts. This call for a more ambitious, transformative adaptation to climate change. [ABSTRACT FROM AUTHOR]

Protection of high-yielding winter wheat (WW) with fungicides increases the productivity of nitrogen (N) present in the soil–crop system during the growing season. As a consequence of the action of fungicides, the nitrogen gap (NG) reduces. This hypothesis was verified on the basis of data from a field experiment conducted with WW during three growing seasons (2013/2014; 2014/2015, 2015/2016) in Poland. The field experiment included two crop protection systems (CP): (i) CP-0—without fungicides and CP-F—with fungicides and (ii) six N doses increased gradually by 40 kg N ha−1 from 0 to 240 kg N ha−1. The grain yield (GY) of WW treated with fungicides was significantly higher than that of the unprotected. The difference in yields between both CP systems was 17.3% on a plot fertilized with 200 kg N ha−1 (9.13 vs. 11.2 t ha−1). The fungicide yield gap increased progressively with Nf doses from 0.76 t ha−1 in the Nf control plot to 2.17 t ha−1 in the fertilized with 200 kg ha−1. The use of fungicides increased the amount of N in grain (Ngr) from 15 kg N ha−1 in the control N plot to 51 kg N ha−1 in the plot with 200 kg N ha−1. The main source of additional N in grain (Ngr) was inorganic N released from the soil (Ng89) during the WW growing season. The maximum Ng89 values were 64.4 and 83.0 kg N ha−1. These values corresponded to Nf doses of 94.4 and 80.8 kg N ha−1. The Ng89 of 70.1 kg N ha−1 conditioned 100-percentage Nf recovery. As a consequence, the prediction reliability of GY and Ngr was highest when Ng89 was used as a predictor. The net increase in the absolute NG size in response to increasing N input was significantly slower and therefore smaller in fungicide-protected than in unprotected WW. It can be concluded that the use of fungicides due to the increase in inorganic N productivity in the soil–crop system reduces the potential threat of N dispersion into the environment. In the light of the results obtained, it should be concluded that the fungicidal protection of crop plants should be treated as a factor significantly reducing the nitrogen gap and, thus, the yield gap. [ABSTRACT FROM AUTHOR]

In this article, I analyse the case of 'modern' central banking's dual failures in effectively containing financial fragilities and inflationary pressures as a cautionary tale about the intrinsic limitations and contradictions of 'governing through quantified futures'. I construct a genealogy of central banks' much-vaunted 'performative art' of governing the economy through the management of expectations in order to reveal a crucial tension between the control of expectations about the future and controlling the future through (present) expectations of it. I argue that social scientific analyses tend to operate with a truncated understanding of performativity that prevents them from developing sufficiently precise and discerning accounts of the mechanics of performative processes to reveal their (intrinsic) limitations and explain how and why they (may) fail. By dissecting the surprisingly complex mechanics of central banks' performative agency, I thus contribute towards a more precise theorisation of how governing through quantified futures operates. [ABSTRACT FROM AUTHOR]

Governments around the world have instrumentalised the idea of cities as innovation hubs in the drive for economic competitiveness and governance of anticipated futures. Producers of global indicators have identified cities as key actors in the global competition for talent – a race for human capital taking place against rapid technological changes, and political and social disruptions. In this article, we examine the rise of global cities as innovation hubs and its role in tackling global challenges. Using qualitative content analysis and conceptual analysis of strategies from rival cities in Europe (Amsterdam vs Copenhagen) and Asia (Singapore vs Hong Kong), we unpack how future cities are articulated and constructed in the nexus of migration and knowledge policy. We find that global indicators are actively used to produce more 'robust futures' that shape policymaking and strategies of cities while delimiting alternatives and potential 'creative future visions' in addressing global challenges. [ABSTRACT FROM AUTHOR]

Sustainable development has been the guiding political principle worldwide since the adoption of the UN SDGs in 2015. Transport is of highest relevance for meeting this ambition; it enables people to move to destinations to meet their needs, and it causes substantial negative effects in the social, economic, and environmental dimensions. Cities are of highest relevance for transport because of their prevalence, and because challenges and opportunities are particularly pronounced in cities, but few attempts have been made to evaluate how cities translate the higher-level sustainability ambitions to their local contexts. Based on a survey of 402 municipalities in Germany, this study investigates local stakeholders' priorities in terms of sustainable urban mobility (SUM). Expert planners in local administrations assign higher priority to all SUM aspects than this is the case in the official local strategic planning objectives, such as those formulated in Sustainable Urban Mobility Plans (SUMPs), with congestion being the only exception. Accessibility and further domain-specific aspects consistently get higher priority than the environmental effects of transport. Local stakeholders consistently commit first and foremost to the function of transport systems and give the minimization of negative effects only secondary priority. Priorities assigned to the SUM aspects are higher in larger cities than in smaller cities, particularly for the expert planners' assessments. Further studies with similar designs in other parts of the world would help to better understand the transferability of the mechanisms identified in this study and support higher-level efforts to achieve sustainability goals. • Expert survey on local priorities for sustainable mobility in 402 German cities. • Larger cities give higher priority to sustainable mobility than smaller cities. • Accessibility generally prioritized over environmental aspects. • Importance Performance Analysis proves suitable for analyzing planners' priorities. [ABSTRACT FROM AUTHOR]

While credit cards provide transaction services, they have never been included in measures of money supply. We derive the theory to measure the joint services of credit cards and money and propose two measures of their joint services: one based on microeconomic structural aggregation theory, providing an aggregated variable within the macroeconomy; the other a credit‐card‐extended aggregate, optimized as an indicator to capture the contributions of monetary and credit card as nowcasting indicator of nominal GDP. The inclusion of the new aggregates yields substantially more accurate nowcasts of nominal GDP, illustrating the usefulness of the information contained in credit cards. [ABSTRACT FROM AUTHOR]

Runoff and sediment (RAS) are important indicators of soil erosion in a watershed, playing a significant role in the migration of surface material and landform development. Previous studies have extensively documented the effects of trees, shrubs, herbs, and soil on runoff and sediment during erosive rainfall; however, the precise interactions among these factors and their influence on RAS yield within the vegetation hierarchy remain unclear. Using the random forest algorithm and the structural equation model, this research aimed to quantify the interaction of numerous variables within diverse vegetation hierarchies and how they affect RAS, as well as to identify critical indicators that influence RAS. The structural equation model results show that the grass properties have a direct effect on soil properties, and the grass properties and soil properties both affect the canopy properties directly; the soil properties and canopy properties are the main factors influencing runoff and sediment directly. In addition, the grass properties could affect RAS by influencing the soil properties indirectly, and the soil properties could also affect RAS indirectly by influencing the canopy properties. Height difference (HD) between two layers of vegetation had the highest weight of 1.043 among the canopy variables, showing that HD has a substantial effect on RAS. Among the soil properties, soil bulk density and maximum field capacity have a significant impact on RAS. We conclude that canopy properties have the greatest impact on RAS. In the future, more Caragana microphylla Lam and Robinia pseudoacacia Linn plants should be planted to prevent soil erosion. This study provides a scientific basis for vegetation planting management and soil erosion control on the Loess Plateau. [ABSTRACT FROM AUTHOR]

Diets, but also overall food environments, comprise a variety of significant factors with direct and indirect impacts on human health. Eco-Regions are geographical areas with a territorial approach to rural development, utilizing organic food and farming practices, and principles and promoting sustainable communities and food systems. However, so far, little attention has been given to quantifying aspects of the health of citizens living in these sustainable transition territories. The project "Indicators for Assessment of Health Effects of Consumption of Sustainable, Organic School Meals in Eco-Regions" (INSUM) aims to identify and discuss research approaches and indicators that could be applied to effectively measure the somatic, mental, and social health dimensions of citizens in Eco-Regions, linked to the intake of organic foods in their diets. In this paper, we focus on the somatic (physical) health dimension. A two-day workshop was held to discuss suitable methodology with an interdisciplinary, international group of experts. The results showed the limitations of commonly used tools for measuring dietary intake (e.g., relying on the memory of participants), and nutritional biomarkers (e.g., variations in correlations with specific intakes) for research understanding dietary intake and the health effects of diets. To investigate the complexity of this issue, the most suitable approach seems to be the combination of traditional markers of physical and mental health alongside emerging indicators such as the microbiome, nutrigenomics, metabolomics, or inflammatory biomarkers. Using new, digital, non-invasive, and wearable technologies to monitor indicators could complement future research. We conclude that future studies should adopt systemic, multidisciplinary approaches by combining not only indicators of somatic and mental health and social wellbeing (MHSW) but also considering the potential benefits of organic diets for health as well as aspects of sustainability connected to food environments. [ABSTRACT FROM AUTHOR]

This study explored a Bayesian belief networks (BBNs) approach, developing two distinct models for prioritizing the seven indicators related to the "rapid response to and mitigation of the spread of an epidemic" category within the context of both the specific category and the Global Health Security Index (GHS index). Utilizing data from the 2021 GHS index, the methodology involves rigorous preprocessing, the application of the augmented naive Bayes algorithm for structural learning, and k-fold cross-validation. Key findings show unique perspectives in both BBN models. In the mutual value of information analysis, "linking public health and security authorities" emerged as the key predictor for the "rapid response to and mitigation of the spread of an epidemic" category, while "emergency preparedness and response planning" assumed precedence for the GHS index. Sensitivity analysis highlighted the critical role of "emergency preparedness and response planning" and "linking public health and security authorities" in extreme performance states, with "access to communications infrastructure" and "trade and travel restrictions" exhibiting varied significance. The BBN models exhibit high predictive accuracy, achieving 83.3% and 82.3% accuracy for extreme states in "rapid response to and mitigation of the spread of an epidemic" and the GHS index, respectively. This study contributes to the literature on GHS by modeling the dependencies among various indicators of the rapid response dimension of the GHS index and highlighting their relative importance based on the mutual value of information and sensitivity analyses. [ABSTRACT FROM AUTHOR]

This paper arises from an ONRR project on "New technologies and methodologies for traceability, quality, safety, measurements and certifications to enhance the value and protect the typical traits in agrifood chains". It has a first aim of performing an exhaustive review pertaining to the construction of indicators of the quality and safety of agrifood products, creating information systems dashboards of unidimensional and multidimensional indicators and applying such indicators, in the context of consumer choices and decisions of policy-makers and firms. Since it has been found that the literature offers no single proposal linking all such aspects, a second central and innovative aim is to propose an original step-by-step procedure for integrating information systems of statistical indicators for citizens, institutions and policy-makers with a specific focus on new technologies and methods for traceability, quality and safety of agrifood systems. The final output is a smart and user-friendly online database that is an absolute innovation on the topic. [ABSTRACT FROM AUTHOR]

The European Union (EU) is moving towards sustainable development, and a key role is played by circular economy (CE) models geared towards reducing pressure on natural resources, generating jobs and fostering economic opportunities. Indicators are able to aggregate a variety of information and their use, through the use of multi-criteria decision analysis (MCDA), allows the performance of alternatives to be monitored. This work aims to calculate the performance of the EU27 in the years 2019 and 2020 according to 15 CE indicators available on Eurostat. The results of the Analytic Hierarchy process show that the greatest impact on circularity is determined by the category 'competitiveness and innovation', which together with the category 'global sustainability and resilience' accounts for two thirds of the overall weight. The MCDA results show that Belgium prevails in both the baseline and alternative scenarios, ahead of Italy and the Netherlands respectively. In general, circular policies see western European countries excel, while the performance of eastern European countries is weaker. The implications of this work highlight the three main barriers to the development of CE models: (i) illegal waste management; (ii) lack of knowledge and low level of investment in circular technologies and (iii) low distribution of value among stakeholders. In this way, resource management based on circularity will enable Europe to meet the challenges of sustainability with less dependence on imported raw materials. [ABSTRACT FROM AUTHOR]

Urbanization has resulted in increasing the pace of informality, specifically in developing countries like India. Informality is taking place at locations that are exposed to various hazards, and therefore, resilience building of both informal and formal settlements is needed to achieve sustainable development. Resilience assessment is key in defining appropriate area-specific resilience measures. Given that, this research assesses the resilience of formal and informal settlements of Surat city in India and presents implications for sustainable development. To assess resilience, an indicator-based approach was taken, using a household survey to collect the data. Analysis suggests that the resilience of formal and informal settlements is significantly different. Key differences were found in physical and institutional resilience, where informal settlements were found to be significantly less resilient than formal settlements. Several measures, such as gender-sensitive education and livelihood programs, as well as mobile water and sanitation, have positive implications for sustainable development. Overall, the study can guide disaster managers and policy makers to adopt a strategic and more targeted approach to strengthen resilience and achieve sustainable development. [ABSTRACT FROM AUTHOR]

The bibliometric study based on the Scopus database aims to investigate the global literary development of "decent work" over a span exceeding two decades. The noticeable surge in publications since 2015 underscores the growing significance of the concept. Limited representation of lower‐middle and lower‐income countries, except India, among the top 10 contributors is observed, revealing a considerable research gap in the study of decent work. The research highlights five principal themes: the labor market's impact on economic development, corporate social responsibility and sustainable development, gender equality, governance, and social justice, as well as decent work, job quality, education, well‐being, and job satisfaction. The study also shows the importance of the topic in different fields. Future researchers may consider the variables or indicators identified for surveys and questionnaire construction. [ABSTRACT FROM AUTHOR]

Purpose: The implementation of sustainability and circular economy (CE) models in agri-food production can promote resource efficiency, reduce environmental burdens, and ensure improved and socially responsible systems. In this context, indicators for the measurement of sustainability play a crucial role. Indicators can measure CE strategies aimed to preserve functions, products, components, materials, or embodied energy. Although there is broad literature describing sustainability and CE indicators, no study offers such a comprehensive framework of indicators for measuring sustainability and CE in the agri-food sector. Methods: Starting from this central research gap, a systematic literature review has been developed to measure the sustainability in the agri-food sector and, based on these findings, to understand how indicators are used and for which specific purposes. Results: The analysis of the results allowed us to classify the sample of articles in three main clusters ("Assessment-LCA," "Best practice," and "Decision-making") and has shown increasing attention to the three pillars of sustainability (triple bottom line). In this context, an integrated approach of indicators (environmental, social, and economic) offers the best solution to ensure an easier transition to sustainability. Conclusions: The sample analysis facilitated the identification of new categories of impact that deserve attention, such as the cooperation among stakeholders in the supply chain and eco-innovation. [ABSTRACT FROM AUTHOR]

The ecological importance of macrophytes is well known and reflected in nature protection law, for example, as a key biological quality element. However, the socio-economic role, such as the impact of macrophyte presence on recreational activities, is often overlooked. The purpose of this study was to assess the human benefits (or ecosystem services) provided by macrophytes. We developed a list of 25 macrophyte ecosystem services and 79 assessment indicators based on expert knowledge and literature data. First, hypothetical scenarios of coastal lagoons were developed to assess the impact of different ecological states (i.e., macrophyte coverage) and management measures (i.e., fisheries) on the ecosystem service provision. Scenario assessments were carried out by stakeholder workshops and literature search. Second, the ecosystem service potential of submerged and emergent macrophyte habitats were assessed by macrophyte experts and literature data. Results showed that cultural services are most important in terms of the overall actual provision of ecosystem services (scenario assessment) but also showing highest potential of the hypothetical ecosystem service provision (habitat assessment). Highest overall potential is shown for reeds and tall forb communities (83 out of maximum 125), followed by seagrass beds (71) and seaweed communities (61). Our ecosystem service assessment approaches (i.e., scenario and habitat-based) using socio-cultural data (i.e., stakeholders and experts-based) and biophysical data (i.e., indicators-based) can serve as supportive tools for coastal management and policy implementation visualizing the benefits of macrophytes to humans. [ABSTRACT FROM AUTHOR]