bluuebunny/crossref_metadata_2025 huggingface dataset:
The Influence Paths of Agricultural Mechanization on Green Agricultural Development
Authors: Chi Yuanying , Zhou Wenbing , Wang Zhenyu , Hu Yu , Han Xiao
Published: December 2021

For sustainable agricultural development, increasing efforts are put on promoting agricultural mechanization and green agricultural development all over the world. Based on the panel data of Chinese provincial agriculture from 2002 to 2018, the System Generalized Method of Moments model and mediation model are constructed to explore the paths of agricultural mechanization affecting green agricultural development. The results show that agricultural mechanization can not only promote the green agricultural development directly but also indirectly by transferring the agricultural labor force and increasing fertilizer input. However, because of the surge of pesticide demand, agricultural mechanization also leads to serious pollution indirectly. With the development of large-scale agricultural machinery, the direct promotion of agricultural machinery on green agricultural development will be more significant. However, it will be less efficient to substitute more agricultural labor force with machinery power. The problem of pesticide abuse will also become more serious. Therefore, it is important for green agricultural development to encourage human capital investment in agricultural mechanization. In addition, more attention should be paid to improving the input efficiency of fertilizers and pesticides so that agriculture will be sustainable in production and the ecological environment.
A Progressive Digital Narrative Teaching Method to Improve Learning Motivation as a Lifelong Learning Skill
Authors: Lin Chih-Hao , Chang Yao-Yun
Published: December 2021

Computer networks are a professional subject of the Computer Science Department. Traditional teaching methods are not suitable for business school students who think the content is too theoretical to understand. Therefore, this research proposes a three-stage progressive teaching method, which divides the teaching process into three teaching stages according to the depth of knowledge of the teaching content. The teaching process gradually adopts traditional instruction, digital storytelling teaching methods, and visual narrative creation projects to guide students’ learning methods. The objective of this research is to adopt a step-by-step three-stage teaching method to gradually increase students’ interest in learning and make computer network learning more effective. The research results show that this innovative teaching method can cultivate learners’ computational thinking and deepen their understanding of corresponding knowledge. The students stated that the anthropomorphic situational narrative materials in the course increased their understanding and enjoyment, thereby improving their learning motivation and effectiveness.
Life Cycle Sustainability Assessments of an Innovative FRP Composite Footbridge
Authors: Jena Timothy , Kaewunruen Sakdirat
Published: December 2021

Sustainable construction and the design of low-carbon structures is a major concern for the UK construction industry. FRP composite materials are seen as a suitable alternative to traditional construction materials due to their high strength and light weight. Network Rail has developed a prototype for a new innovative footbridge made entirely from FRP with the aim of replacing the current steel design for footbridges. This study conducted a life cycle analysis of this novel composite footbridge design to quantify the cost and environmental benefits. An LCA and LCC analysis framework was used to analyse the environmental impacts and cost savings of the bridge throughout its lifespan from raw material extraction to its end of life. From the results of the LCA and LCC, the FRP footbridge sustainability was reviewed and compared to a standard steel footbridge. Due to the uncertainty of the fibre-reinforced plastic (FRP) structure’s lifespan, multiple scenarios for longevity at the assets-use stage were studied. The study revealed that the FRP bridge offered substantial economic savings whilst presenting potentially worse environmental impacts, mainly caused by the impact of the production of FRP materials. However, our study also demonstrated the influences of uncertainties related to the glass-fibre-reinforced plastic (GFRP) material design life and end-of-life disposal on the whole life cycle analyses. The results show that if the FRP footbridge surpasses its original estimation for lifespan, the economic savings can be increased and the environmental impacts can be reduced substantially.
Subtropical Broad-Leaved Urban Forests as the Foremost Dynamic and Complex Habitats for a Wide Range of Bird Species
Authors: Rajpar Muhammad Nawaz , Khan Shahab Ali , Ditta Allah , Ali Hayssam M. , Ullah Sami , Ibrahim Muhammad , Rajpar Altaf Hussain , Zakaria Mohamed , Salem Mohamed Z. M.
Published: December 2021

Broad-leaved subtropical forests are the most productive, diversified, and complex ecosystems on the planet. Unfortunately, they are currently under severe threat from anthropogenic activities, such as. deforestation, housing settlements, and agricultural expansion. In response to these severe effects, the present study was conducted to explore the current conservation status and population structure of a wide range of bird species inhabiting different subtropical broad-leaved urban forests of Pakistan. In total, 2879 individuals comprising 53 species and 28 families were detected between December 2017 and November 2018 as revealed through the distance sampling line transect method. The habitat selection among bird species varied according to vegetation structure and composition, food resources, adjoining habitats, and human settlements. According to IUCN Red List data, one species was deemed vulnerable out of 53 bird species, while the remaining 52 species were ranked as ofleast concern. The findings of the density analysis revealed that bird density varied between six subtropical broad-leaved forests. Palamar (3.954 ± 0.221 birds/ha) and Kityari (3.138 ± 0.162 birds/ha) were densely populated, whereas Kamal Khan (1.102 ± 0.178 birds/ha) was of the least concern. Likewise, the diversity analysis showed that Kamal Khan was a more diverse habitat (Shannon–Wiener Index; H’ = 3.581 ± 0.021). Shahabad was richer (Margalef Richness Index; R1 = 8.007 ± 0.053) and Dob Ghar was evenly distributed (Pielou J Evenness Index; E = 0.940 ± 0.005) compared to other urban habitats studied. Eight foraging guilds were identified among the bird species. Insectivores were the most abundant bird species utilizing the urban dwelling habitats. carnivores/piscivores/insectivores utilized Dob Ghar forest, while more frugivores utilized Kamal Khan and Dob Ghar. Based on the data, it was concluded that subtropical broad-leaved urban forests are dynamic, complex, and of vital significance for a diverse range of bird species.
Sustainable Construction Engineering and Management
Authors: Zavadskas Edmundas Kazimieras , Antucheviciene Jurgita , Hosseini M. Reza , Martek Igor
Published: December 2021

The Special Issue covers sustainability as an emerging requirement in the fields of construction management, project management and engineering. We invited authors to submit their theoretical or experimental research articles that address the challenges and opportunities for sustainable construction in all its facets, including technical topics and specific operational or procedural solutions, as well as strategic approaches aimed at the project, company or industry level. Central to developments are smart technologies and sophisticated decision-making mechanisms that augment sustainable outcomes. The Special Issue was received with great interest by the research community and attracted a high number of submissions. The selection process sought to balance the inclusion of a broad representative spread of topics against research quality, with editors and reviewers settling on thirty-three articles for publication. The Guest Editors invite all participating researchers and those interested in sustainable construction engineering and management to read this summary of the Special Issue and of course to access the full-text articles for deeper analyses.
Spatial Patterns and Scales of Collembola Taxonomic and Functional Diversity in Urban Parks
Authors: Bellino Alessandro , Baldantoni Daniela , Milano Vittoria , Santorufo Lucia , Cortet Jérôme , Maisto Giulia
Published: December 2021

Anthropogenic pressures can affect the distribution of species and elicit the appearance of spatial patterns that provide insights into the species’ responses to environmental filtering, mediated by their functional traits. Due to the functional redundancy in ecological communities, the spatial variations of species and functional traits can occur at different scales, but little is known on this topic, especially for soil arthropods with limited dispersion capabilities and highly dependent on environmental characteristics. The present research aims at shedding light on the spatial ecology of both the taxonomic and functional biodiversity of collembolan communities colonizing urban parks, adopted as model taxa for their functional traits, diversity and sensitivity to environmental drivers. To this end, the spatial patterns and scales of collembolan communities from 8 parks in Naples (Italy) and 14 in Montpellier (France) were investigated through an approach based on Moran eigenvector maps, modified to allow for evaluating the community spatial connectivity and the scales underpinning the spatial variation of each species and functional trait. The obtained findings demonstrate a limited spatial connectivity of collembolan communities in terms of both taxonomic and functional diversity, with mostly species-specific micro-scale variations that may be shaped by environmental constraints.
Analysis of Changes in Land Use/Land Cover and Hydrological Processes Caused by Earthquakes in the Atsuma River Basin in Japan
Authors: Chen Yuechao , Nakatsugawa Makoto
Published: December 2021

The 2018 Hokkaido Eastern Iburi earthquake and its landslides threaten the safety and stability of the Atsuma River basin. This study investigates land use and land cover (LULC) change by analyzing the 2015 and 2020 LULC maps of the basin, and its impact on runoff and sediment transport in the basin by using the soil and water assessment tool (SWAT) model to accurately simulate the runoff and sediment transport process. This study finds that the earthquake and landslide transformed nearly 10% of the forest into bare land in the basin. The simulation results showed that the runoff, which was simulated based on the 2020 LULC data, was slightly higher than that based on the 2015 LULC data, and the sediment transport after the earthquake is significantly higher than before. The rate of sediment transportation after the earthquake, adjusted according to the runoff, was about 3.42 times more than before. This shows that as the forest land decreased, the bare land increased. Conversely, the runoff increased slightly, whereas the sediment transport rate increased significantly in the Atsuma River basin after the earthquake. In future, active governance activities performed by humans can reduce the amount of sediment transport in the basin.
Charging Point Usage in Germany—Automated Retrieval, Analysis, and Usage Types Explained
Authors: Friese Philipp A. , Michalk Wibke , Fischer Markus , Hardt Cornelius , Bogenberger Klaus
Published: December 2021

This study presents an approach to collect and classify usage data of public charging infrastructure in order to predict usage based on socio-demographic data within a city. The approach comprises data acquisition and a two-step machine learning approach, classifying and predicting usage behavior. Data is acquired by gathering information on charging points from publicly available sources. The first machine learning step identifies four relevant usage patterns from the gathered data using an agglomerative clustering approach. The second step utilizes a Random Forest Classification to predict usage patterns from socio-demographic factors in a spatial context. This approach allows to predict usage behavior at locations for potential new charging points. Applying the presented approach to Munich, a large city in Germany, results confirm the adaptability in complex urban environments. Visualizing the spatial distribution of the predicted usage patterns shows the prevalence of different patterns throughout the city. The presented approach helps municipalities and charging infrastructure operators to identify areas with certain usage patterns and, hence different technical requirements, to optimize the charging infrastructure in order to help meeting the increasing demand of electric mobility.
Will Plans to Ease Energy Poverty Go Up in Smoke? Assessing the Hungarian NECP through the Lens of Solid Fuel Users’ Vulnerabilities
Authors: Bajomi Anna Zsofia , Feldmár Nóra , Tirado-Herrero Sergio
Published: December 2021

Hungary has one of the highest incidences of energy poverty in the European Union, and a high share of Hungarian low-income households rely on solid fuels. This paper first maps the energy vulnerabilities of Hungarian solid fuel users using six energy vulnerability factors. The mapping underlines that solid fuel users are more exposed to energy vulnerability than average households. This is followed by an analysis of energy-poverty-related objectives and measures outlined in the Hungarian National Energy and Climate Plan (NECP), a key policy document of the green energy transition. The paper outlines that the NECP fails to comply with the requirement of setting energy poverty alleviation objectives. Furthermore, the outlined energy-poverty-related policies and measures fail to provide systematic solutions to energy-poverty drivers, especially those solid fuel users’ vulnerabilities. Hungary’s general antiegalitarian policy environment and the weak design of energy poverty measures in the NECP suggest severe deficiency regarding a just energy transition guarantee. A just energy transition in Hungary is therefore endangered by the fact that EU energy poverty alleviation requirements fall under soft-law coordination mechanisms that make such requirements hardly enforceable in a member state with an antipoor policy bias that is reluctant to tackle energy poverty.
Health and Economic Impact Assessment of Transport and Industry PM2.5 Control Policy in Guangdong Province
Authors: Ren Songyan , Wang Peng , Dai Hancheng , Zhao Daiqing , Masui Toshihiko
Published: December 2021

PM2.5 pollution-related diseases lead to additional medical expenses and the loss of working hours, thus affecting the macro-economy. To evaluate the health-related economic impacts of PM2.5, the Integrated Assessment Model of Climate, Economic, and Environment (ICEEH), combined with the Computable General Equilibrium (CGE) model, the Greenhouse Gas and Air Pollution Interactions and Synergies (GAINS) model, and a health impact assessment module was constructed. The impact of different air pollution control strategies was analyzed in Guangdong Province by establishing a Without Control (WOC) scenario, an Air Control (AIC) scenario, and a Blue Sky (BLK) scenario. The results show that in the WOC scenario for 2035, the death rate for Guangdong Province is 71,690 persons/year and the loss of working hours is 0.67 h/person/year. In the AIC and BLK scenarios compared with WOC for 2035, the loss of working hours is reduced by 29.8% and 34.3%, and premature deaths are reduced by 33.0% and 37.5%, respectively; GDP would increase by 0.05% and 0.11%, respectively, through strict pollution control policies. Furthermore, improved labor force quality induced by better air conditions would promote the added value in labor-intensive industries, such as agriculture (0.233%), other manufacturing (0.172%), textiles (0.181%), food (0.176%), railways transport (0.137%), and services (0.129%). The added value in the waste (−0.073%), nature gas (−0.076%), and crude oil sectors (−0.072%) would decrease because of the increased investment installment in PM2.5 treatment equipment.
Spatial-Temporal Characteristics of Arctic Summer Climate Comfort Level in the Context of Regional Tourism Resources from 1979 to 2019
Authors: Huang Yutao , Zhang Xuezhen , Zhang Dan , Zhang Lijuan , Zhang Wenshuai , Ren Chong , Pan Tao , Chu Zheng , Chen Yuying
Published: December 2021

In the context of global warming, a key scientific question for the sustainable development of the Arctic tourism industry is whether the region’s climate is becoming more suitable for tourism. Based on the ERA5-HEAT (Human thErmAl comforT) dataset from the European Center for Medium-range Weather Forecasts (ECMWF), this study used statistical methods such as climatic tendency rate and RAPS to analyze the spatial-temporal changes in Arctic summer climate comfort zones from 1979 to 2019 and to explore the influence of changes in climate comfort on Arctic tourism. The results showed the following: (1) With the increase in the Arctic summer temperature, the universal thermal climate index (UTCI) rose significantly from 1979 to 2019 at a rate of 0.457 °C/10a. There was an abrupt change in 2001, when the climate comfort changed from “colder” to “cool”, and the climate comfort has remained cool over the past decade (2010–2019). (2) With the increase in Arctic summer temperatures, the area assessed as “comfortable” increased significantly from 1979 to 2019 at a rate of 2.114 × 105 km2/10a. Compared with the comfortable area in the 1980s, the comfortable area increased by 6.353 × 105 km2 over the past 10 years and expanded to high-latitude and high-altitude areas, mainly in Kola Peninsula, Putorana Plateau, and Verkhoyansk Mountains in Russia, as well as the Brooks Mountains in Alaska. (3) With the increase in Arctic summer temperatures, the number of days rated comfortable on 30% of the grid increased significantly from 1979 to 2019 (maximum increase: 31 days). The spatial range of the area with a low level of comfortable days narrowed and the spatial range of the area with a high level of such days expanded. The area with 60–70 comfortable days increased the most (4.57 × 105 km2). The results of this study suggest that global warming exerts a significant influence on the Arctic summer climate comfort level and provides favorable conditions for further development of regional tourism resources.
Traffic Efficiency Models for Urban Traffic Management Using Mobile Crowd Sensing: A Survey
Authors: Ali Akbar , Ayub Nasir , Shiraz Muhammad , Ullah Niamat , Gani Abdullah , Qureshi Muhammad Ahsan
Published: December 2021

The population is increasing rapidly, due to which the number of vehicles has increased, but the transportation system has not yet developed as development occurred in technologies. Currently, the lowest capacity and old infrastructure of roads do not support the amount of vehicles flow which cause traffic congestion. The purpose of this survey is to present the literature and propose such a realistic traffic efficiency model to collect vehicular traffic data without roadside sensor deployment and manage traffic dynamically. Today’s urban traffic congestion is one of the core problems to be solved by such a traffic management scheme. Due to traffic congestion, static control systems may stop emergency vehicles during congestion. In daily routine, there are two-time slots in which the traffic is at peak level, which causes traffic congestion to occur in an urban transportation environment. Traffic congestion mostly occurs in peak hours from 8 a.m. to 10 a.m. when people go to offices and students go to educational institutes and when they come back home from 4 p.m. to 8 p.m. The main purpose of this survey is to provide a taxonomy of different traffic management schemes for avoiding traffic congestion. The available literature categorized and classified traffic congestion in urban areas by devising a taxonomy based on the model type, sensor technology, data gathering techniques, selected road infrastructure, traffic flow model, and result verification approaches. Consider the existing urban traffic management schemes to avoid congestion and to provide an alternate path, and lay the foundation for further research based on the IoT using a Mobile crowd sensing-based traffic congestion control model. Mobile crowdsensing has attracted increasing attention in traffic prediction. In mobile crowdsensing, the vehicular traffic data are collected at a very low cost without any special sensor network infrastructure deployment. Mobile crowdsensing is very popular because it can transmit information faster, collect vehicle traffic data at a very low cost by using motorists’ smartphone or GPS vehicular embedded sensor, and it is easy to install, requires no special network deployment, has less maintenance, is compact, and is cheaper compared to other network options.
Moral Awareness: A Source of Improved Sustainable Performance
Authors: Hussain Mujahid , Hassan Hamid , Iqbal Zafar , Niazi Amna , Hoshino Yasuo
Published: December 2021

Despite the increasing realization of the significance of work ethics and moral awareness (MA) in businesses after mega scandals, such as those of Enron and Tyco, few studies have investigated the relationship between MA and employees’ performance and the intermediate mechanisms that explain this relationship. This study proposes that as employees’ work ethics are calibrated through ethical training, their MA increases, in turn affecting employees’ job performance. This experimental study is aimed at investigating the impact of MA, increased through ethical training, on employees’ job performance. Based on institutional theory, the multidimensional work ethic profile (MWEP) and strategic human resource management literature, it is hypothesized that MA of employees’ is positively correlated with employees’ performance and that this relationship is moderated by the age, gender and education level of the employees. In particular, the moral awareness component of ethical decision-making (EDM) models is considered as coextensive with work ethics in experimental design, and work ethics is depicted by a multidimensional work ethic profile (MWEP). The study used a sample of 100 employees of a golf club, divided into an experiment group and a control group with 50 employees each. The experiment group was subjected to an ethical training program focused on increasing MA. Employees’ performance for both groups was evaluated based on eight sub-variables. The study concluded that increasing MA increases employees’ performance, with no significant moderation effect of age, gender and education level on this relationship. The results of this study will go a long way in helping managers to increase the productivity of their employees through increased MA.
Countering the Tragedy of the Health Care Commons by Exnovation: Bringing Unexpected Problems and Solutions into View
Authors: Willems Willemine
Published: December 2021

In the health sciences and policy, it is common to view rising health care costs as a tragedy of the commons, i.e., a situation in which the unhampered use of a resource by rational individuals leads to its depletion. By monitoring a set of outcomes, not only the costs but also patient experience and population health, simultaneously, it is claimed that the “triple aim” approach changes what is rational for health care stakeholders and, thus, can counter the rapidly rising health care costs. This approach has an important limitation: it reduces the monitored innovations to merely their outcomes; yet, how health care professionals and patients give shape to care delivery remains invisible. To get a more in-depth understanding of the consequences of adopting such an approach, in this article I use the method of exnovation instead. Exnovation foregrounds the everyday accomplishments of health care practices to enable reflection and learning. I draw on an ethnographic study into an innovation in care delivery aimed at rendering it more sustainable: Primary Care Plus. I reflected with both professionals and patients on what happened during 40 Primary Care Plus consultations. By presenting and analyzing three of these consultations, I foreground what is rendered invisible with the triple aim: improvisations, surprises and habits unfolding in practice. With exnovation, health care innovations can provide fertile soil for creating new forms of sustainable care that can help prevent the impending exhaustion of health care systems.
Executive Function and Metacognition: Relations and Measure on High Intellectual Ability and Typical Schoolchildren
Authors: Viana-Sáenz Lourdes , Sastre-Riba Sylvia , Urraca-Martínez Mª Luz
Published: December 2021

The current understanding of high intellectual ability (HIA) involves considering the multidimensional nature of the skills that comprise it. In addition, conceptual advances related to how individuals manage the high intellectual resources available to them may help explain the possible gap between performance and high levels of competence. Understanding the role of executive functioning and metacognition in relation to the management of these resources is essential. Nonetheless, to date, the trajectory of their study is diverse, and empirical and measured evidence in this regard is limited. Thus, the objective of this work was to understand the relationship between executive functions and metacognition (and its components), as well as the measurement of these factors and their reliability. The study sample comprised schoolchildren (n = 43) with an HIA and a control group (n = 46) of schoolchildren with typical intelligence levels. Network analysis revealed differential intergroup connections between the executive functioning components as well as between those of metacognition and for each construct. The greatest relational weight was for metacognition components, with the most robust relationship being found in the group with HIA with metacognitive regulation, flexibility, and verbal working memory versus metacognitive awareness and inhibition in the typical group. Measurement derivations and their application in educational interventions to optimise the expression of high potential are also discussed.
Method of Assessing the Risk of Implementing Railway Investments in Terms of the Cost of Their Implementation
Authors: Kowalski Jan , Połoński Mieczysław , Lendo-Siwicka Marzena , Trach Roman , Wrzesiński Grzegorz
Published: December 2021

Exceeding the approved budget is often an integral part of the implementation of construction projects, especially those where unforeseen threats may occur. Therefore, each construction investment should contain elements of risk forecasting, mainly in terms of the cost of its implementation. Only a small number of institutions apply effective cost control methods, taking into account the specifics of a given industry. Especially small construction companies that participate in the structure of the implementation of large construction projects as subcontractors. The article presents a method by which it is possible to determine, with certain probability, the final cost of railway construction investments carried out in Poland. The method was based on a reliable database of risk factors published in sources. In this article, the main presumptions of the original method are presented, which take into account the impact of potential, previously recognized, risks specific to railway investments, and enable project managers to relate them to the conditions where the implementation of a specific object is planned. The authors assumed that such a relatively simple method, supported by a suitable computational program, would encourage teams that plan to implement railway projects to use it and increase the credibility of their schedules.
Organizational Strategies and Their Impact on Employee Commitment during the Health Emergency
Authors: Ramos-Estrada Cecilia , de la Garza Carranza María Teresa , López-Lemus Jorge Armando , Atlatenco-Ibarra Quetzalli , Vázquez-González Edgar René
Published: December 2021

The emergence of a new coronavirus that causes COVID-19 has generated multiple consequences that have affected the lives of all human beings, imposing a new normal where social distancing and mobility restrictions have become the norm. This situation has also affected organizations forcing them to create or strengthen strategies to respond to the situation to guarantee their survival and growth, which has made it essential to have full commitment from employees. Structural equations were used to design an instrument that was used with managers and middle managers at 130 Mexican companies. Once reliability and validity were tested and confirmed, the study found that there is a positive and significant relation between organizational strategies applied during the health emergency and employee commitment with the organization.
Leaders’ Support of Sustainable Innovation and Business Sustainability in Developing Countries: Evidence from Small and Medium Food Processing Enterprises
Authors: Najib Mukhamad , Abdul Rahman Abdul Aziz , Abror Abror , Rachmawati Riani , Simanjuntak Megawati , Prasetya Prita , Suhartanto Dwi , Fahma Farah
Published: December 2021

Business sustainability has become obligatory in small and medium enterprises (SMEs). To remain competitive and survive in the market, sustainable innovation is the key. However, SMEs, especially in food processing in emerging markets, still lack resources to become more innovative. The objective of the article is to analyze factors affecting sustainable innovation in food processing SMEs and their impact on business sustainability. Cross-sectional quantitative research builds on a sample of 157 owners of food processing SMEs in Indonesia. The results show that organizational sustainable innovation in food processing SMEs depends on employees’ innovation potential and an organization’s innovation culture; meanwhile, both variables are influenced by leaders’ support of sustainable innovation. Promisingly, organizational sustainable innovation increases business sustainability. Thus, our research highlights the important role of leaders’ support in achieving organizational sustainable innovation and, finally, long term business success. Furthermore, this study uncovers the underlying mediatory mechanisms, which deepen our theoretical understanding and guide practitioners with a concise and comprehensive framework for sustainable innovation in SMEs.
Gender Inequality in Latin America: A Multidimensional Analysis Based on ECLAC Indicators
Authors: Medina-Hernández Edith , Fernández-Gómez María José , Barrera-Mellado Inmaculada
Published: December 2021

This article analyzes the behavior of gender indicators on the economic, physical, and decision-making autonomy of Latin-American women, based on data compiled and published in 2020 by the Gender Equality Observatory of the United Nations Economic Commission for Latin America and the Caribbean (ECLAC), for 17 countries. Using the HJ-Biplot multivariate technique, it is concluded that the three evaluated areas interact with each other, in such a way that they cannot be interpreted in isolation because their relationships and interdependencies explain the differences in the participation of men and women in the socioeconomic and political environment of the nations in the region. Additionally, it is concluded that in countries such as Guatemala, Honduras, El Salvador, Bolivia, and Ecuador, greater public policy actions are required to seek the economic empowerment of women; while in Brazil, Mexico, and Colombia, laws are necessary to regulate violence against women. It is necessary to continue promoting gender equality in the region as a determinant factor in methodological frameworks and transformational policies to enable moving towards the construction of sustainable societies and economies.
Air Pollution and Medical Insurance: From a Health-Based Perspective
Authors: Chen Siyu , He Lingyun
Published: December 2021

Using the China Health and Retirement Longitudinal Study (CHARLS), this paper quantifies the causal effects of air pollution on the demand for medical insurance. Results suggest that the rise in air pollution is associated with an increased probability of purchasing medical insurance. Furthermore, residents are more inclined to have basic medical and commercial insurance, rather than critical illness insurance. In addition, the evidence of two possible channels through which air pollution is related to purchasing insurance are found, including causing chronic diseases and depression. This study provides empirical evidence for China and other developing countries to improve the medical security system and promote the national health movement.
Component-Based Model for Building Material Stock and Waste-Flow Characterization: A Case in the Île-de-France Region
Authors: Tirado Rafaela , Aublet Adélaïde , Laurenceau Sylvain , Thorel Mathieu , Louërat Mathilde , Habert Guillaume
Published: December 2021

Building demolition is one of the main sources of waste generation in urban areas and is a growing problem for cities due to the generated environmental impacts. To promote high levels of circular economy, it is necessary to better understand the waste-flow composition; nevertheless, material flow studies typically focus on low levels of detail. This article presents a model based on a bottom-up macro-component approach, which allows the multiscale characterization of construction materials and the estimation of demolition waste flows, a model that we call the BTP-flux model. Data mining, analytical techniques, and geographic information system (GIS) tools were used to assess different datasets available at the national level and develop a common database for French buildings: BDNB. Generic information for buildings in the BDNB is then enriched by coupling every building with a catalog of macro-components (TyPy), thus allowing the building’s physical description. Subsequently, stock and demolition flows are calculated by aggregation and classified into 32 waste categories. The BTP-flux model was applied in Île-de-France in a sample of 101,320 buildings for residential and non-residential uses, representative of the assessed population (1,968,242 buildings). In the case of Île-de-France, the building stock and the total demolition flows were estimated at 1382 Mt and 4065 kt, respectively. For its inter-regional areas—departments—, stock and demolition waste can vary between 85 and 138 tons/cap and 0.263 and 0.486 tons/cap/year, respectively. The mean of the total demolition wastes was estimated at 0.33 tons/cap/year for the region. Results could encourage scientists, planners, and stakeholders to develop pathways towards a circular economy in the construction sector by implementing strategies for better management of waste recovery and reintegrating in economic circuits, while preserving a maximum of their added value.
Environmental Preferences and Fish Handling Practice among European Freshwater Anglers with Different Fishing Specialization Profiles
Authors: Karpiński Emil Andrzej , Skrzypczak Andrzej Robert
Published: December 2021

Recreational specialization is characteristic of many activities, including recreational fishing, which is a popular and important form of recreation throughout the world. The pressure on the environmental resources used by anglers is increasing. It is becoming crucial to understand the preferences and behaviors of anglers, which can accumulate and multiply the risk of damage to fish stocks and aquatic habitats. The main objective of the study was to comprehensively analyze the differences between anglers with diverse specialization profiles. By investigating the fishing preferences within the context of the socioeconomic, demographic and engagement factors, three groups of anglers were identified: anglers who specialize in predatory fish, anglers who specialize in non-predatory fish and unspecialized anglers. Specialized anglers, regardless of type, were found to be more supportive of releasing caught fish (71% on average) and were less likely to keep them (16%) than unspecialized anglers (55% and 27%, respectively). Unspecialized anglers (26.5% of the surveyed population) show less commitment to ethical values. The potential negative environmental impact of the least specialized anglers is an accumulation of the preferences for the use of ground bait, artificial lures, and live fish as bait. Anglers specializing in predatory fish are the most critical in their evaluation of fish resources and water quality and are least attached to specific fisheries. This work provides insight into angler experience and it may help to better identify anglers who are disrespectful towards the fishing laws in place. The results of this work may be incorporated into fishery management strategies, including strategies to reduce naïve anglers and deter disrespectful anglers, which are lucrative in the fishing process.
A Classification System for Decision-Making in the Management of Patients with Chronic Conditions
Authors: Ródenas-Rigla Francisco , Conesa David , López-Quílez Antonio , Durá-Ferrandis Estrella
Published: December 2021

Patients with chronic diseases are frequent users of healthcare services. The systematic use of stratification tools and predictive models for this group of patients can be useful for health professionals in decision-making processes. The aim of this study was to design two new classifier systems for detecting the risk of hospital admission for elderly patients with chronic conditions. In this retrospective cohort study, a set of variables related to hospital admission for patients with chronic conditions was obtained through focus groups, a health database analysis and statistical processing. To predict the probability of admission from the set of predictor variables, a logistic regression within the framework of Generalized Linear Models was used. The target population consisted of patients aged 65 years or older treated in February 2016 at the Primary Health Care Centre of Burjassot (Spain). This sample was selected through the consecutive sampling of the patient quotas of the physicians who participated in the study (1000 patients). The result was two classification systems, with reasonable values of 0.722 and 0.744 for the area under the ROC curve. The proposed classifier systems could facilitate a change in the current patient management models and make them more proactive.
Map and Track the Performance in Education for Sustainable Development across the European Union
Authors: Momete Daniela Cristina , Momete Manuel Mihail
Published: December 2021

The 17 sustainable development goals (SDG) established by 2030 Agenda cannot be achieved unless the learners are educated about sustainable development. Education for sustainable development (ESD) is a key component in preparing individuals to cope with sustainable challenges and paves the way towards a more sustainable aware society and life satisfaction. However, ESD is very complex as it depends on numerous factors and needs significant development all over the word. The paper aims to design an original and easy-to-apply framework which maps and tracks the actual performance in quality education across the European Union member states (EU27), focusing on SDG4—quality education from Agenda 30. The framework integrates three interventions—formal, non-formal, and essential education—and delivers a useful tool, a composite index, which maps and tracks the performance of the EU27 in the transition to ESD in a practical manner. The research categorizes four clusters of countries and tracks the Nordic countries of the EU27 among the high performers tier, allowing the identification of the best practices which can be spurred at European level. The findings of this paper may be used by educators, researchers, national and European authorities, and other stakeholders to monitor and accelerate progress in ESD, especially for low performers.
A Comprehensive Thermoeconomic Evaluation and Multi-Criteria Optimization of a Combined MCFC/TEG System
Authors: Syah Rahmad , Davarpanah Afshin , Nasution Mahyuddin K. M. , Tanjung Faisal Amri , Nezhad Meysam Majidi , Nesaht Mehdi
Published: December 2021

In this study, an integrated molten carbonate fuel cell (MCFC), thermoelectric generator (TEG), and regenerator energy system has been introduced and evaluated. MCFC generates power and heating load. The exit fuel gases of the MCFC is separated into three sections: the first section is transferred to the TEG to generate more electricity, the next chunk is conducted to a regenerator to boost the productivity of the suggested plant and compensate for the regenerative destructions, and the last section enters the surrounding. Computational simulation and thermodynamic evaluation of the hybrid plant are carried out utilizing MATLAB and HYSYS software, respectively. Furthermore, a thermoeconomic analysis is performed to estimate the total cost of the product and the system cost rate. The offered system is also optimized using multi-criteria genetic algorithm optimization to enhance the exergetic efficiency while reducing the total cost of the product. The power generated by MCFC and TEG is 1247.3 W and 8.37 W, respectively. The result explicates that the provided electricity and provided efficiency of the suggested plant is 1255.67 W and 38%, respectively. Exergy inquiry outcomes betokened that, exergy destruction of the MCFC and TEG is 13,945.9 kW and 262.75 kW, respectively. Furthermore, their exergy efficiency is 68.22% and 97.31%, respectively. The impacts of other parameters like working temperature and pressure, thermal conductance, the configuration of the advantage of the materials, etc., on the thermal and exergetic performance of the suggested system are also evaluated. The optimization outcomes reveal that in the final optimum solution point, the exergetic efficiency and total cost of the product s determined at 70% and 30 USD/GJ.
Climate Change Adaptation (CCA) Interventions and Indicators in Nepal: Implications for Sustainable Adaptation
Authors: Karki Gyanendra , Bhatta Balram , Devkota Naba R , Acharya Ram P , Kunwar Ripu M
Published: December 2021

We reviewed 76 climate change adaptation projects that were operational between 2010 and 2020. The review was followed by office and field visits for verification. The office visit helped crosscheck the findings, and the field observations carried out between December 2020 and April 2021 asked 24 key informants and collected supplementary information appraisal and indicator development. Of the CCA projects studied, the most (n = 48, 32%) were community-based initiatives, while the least (n = 12, 8%) were ecosystem-based interventions. The main environment-centered projects were Ecosystem-based Adaptations and Ecosystems Protecting Infrastructure and Communities (EPIC) while Enhanced Action of Inclusive CSOs for Participation in Climate Resilient Economic Growth (UTHAN), Initiative for CCA (ICCA), Support to Rural Livelihoods and Climate Change Adaptation in the Himalayas (HIMALICA), etc., adaptation projects were community-based. Capacity building and awareness-raising were the major thrust of the CbA projects, while the abatement of climate vulnerabilities and risks through nature-based solutions were priorities of EbA. Payment for Ecosystem services is a nature-based solution that can play a role in enhancing adaptation to climate change at a local scale by adopting community-based and culturally appropriate methods and enhancing and incentivizing adaptation measures and capacities. A set of 11 criteria and 40 indicators comprised the institutional and behavioral responses and the use of technologies, and the design of climate-resilient plans and climate-smart practices were proposed as appraisal measures to evaluate the success of CCA interventions. The importance of criteria and indicators lies in the fact that such a comprehensive assessment would lead to effective and efficient adaptation projects, which could help benefit beyond the borders. It also furthers ongoing adaptation interventions and is set to be an integral part of associated studies and monitoring and review of new adaptation interventions.
The Impacts of Socioeconomic Crisis in Portugal on Social Protection and Social Work Practices
Authors: Casquilho-Martins Inês
Published: December 2021

The effects of the international crisis brought economic and financial risks, as well as consequences for human, social and sustainable development. This study aims to analyse the effects of social intervention with families since the 2008 crisis in Portugal. Through a qualitative approach, we conducted semi-structured interviews with social workers (23), to identify the main impacts of the crisis and the adopted social intervention practices. We highlight a new increase in social problems and the growth of vulnerable groups facing an unprepared social protection system. The Portuguese case reveals that the effects of austerity have shown a decline in the welfare and benefits system, leading to worsened social problems, such as increased poverty and unemployment, as well as social inequalities. Social Work was required to respond to these consequences, although organisational contexts and austerity measures constrained practitioners’ autonomy. By reflecting on this critical period, we seek to contribute to better social protection and assistance models in the face of the current and future crisis. In this sense, Social Work practice ensures a means to guarantee fundamental rights and social justice, preparing social workers and social intervention for new challenges in crisis contexts.
Impact of Demand Response on Reliability Enhancement in Distribution Networks
Authors: Mansouri Mohammad Reza , Simab Mohsen , Bahmani Firouzi Bahman
Published: December 2021

This paper presents an innovative instantaneous pricing scheme for optimal operation and improved reliability for distribution systems (DS). The purpose of the proposed program is to maximize the operator’s expected profit under various risk-taking conditions, such that the customers pay the minimum cost to supply energy. Using the previous information of the energy consumption for each customer, a customer baseline load (CBL) is defined; the energy price for consumption costs higher and lower than this level would be different. The proposed scheme calculates the difference between the baseline load and the consumption curve with the electricity market price instead of calculating the total consumption of the customers with the unstable price of the electricity market, which is uncertain. In the proposed tariff, the developed cost and load models are included in the distribution system operation problem, and the objective function is modeled as a mixed integer linear programming (MILP) problem. Also, the effect of demand response (DR) and elasticity on the load curve, the final profit of the distribution system operator, and payment risk and operation costs are examined. Since there are various uncertainties in the smart distribution grid, the calculations being time-consuming and volumetric is important in the evaluation of reliability indices. Thus, when computation volume can be decreased and computation speed can be increased, analytical reliability analysis methods can be used, as they were in the present work. Finally, the changes in the reliability indices were calculated for the ratio of the customers’ sensitivity to the price and the customers’ participation in the proposed tariff using an analytical method based on Monte Carlo simulation (MCS). The results showed the efficiency of the proposed method in increasing the operator profit, reducing the operation costs, and enhancing the reliability indices.