Sustainability

This study aims to evaluate the association between sleep duration and hypertension in Korean adults aged 30 and older. This is a population-based cross-sectional study using the 2020 Korean National Health and Nutritional Examination Survey data. Study subjects numbered 3984 after excluding people with missing data for key exposures and outcome variables. Of the study subjects, 18.8% (n = 748) sleep for less than 6 h a day. Increased risk for hypertension was associated with being male, of old age, unemployed, of low educational achievement, and overweight, as well as drinking, smoking, stress, and short sleep duration. The prevalence of sleep deficit was associated with sex, age, education level, income, and health insurance type. Logistic regression analyses were performed to identify whether sleep duration affects the risk of hypertension. In the unadjusted model, the odds ratio (OR) of having hypertension was lower among people sleeping for 7.0–7.9 h (OR = 0.52, 95% confidence interval (95% CI) = 0.42–0.64) than those sleeping for fewer than 6 h per day. After adjusting for sociodemographic factors (sex, age, education level, occupation, and health insurance), the OR for 7.0–7.9 h remained significant (OR = 0.74, 95% CI = 0.59–0.92). This association was not significant when the model was further adjusted for health-related factors (smoking, drinking, physical activity, BMI level, and stress). Measures to promote adequate sleep duration should be included in programs to prevent and manage hypertension. Full article

The bearing capacity of closely spaced footings has become one of the important topics in geotechnical engineering research owing to the rapid development in urban areas around the world. In this paper, we propose three efficiency factors that can be used to describe the bearing capacity effects of closely spaced footings using Terzaghi’s traditional bearing capacity equation. With an advanced finite-element limit analysis of upper and lower bounds, both the closely spaced strip footings and the multiple closely spaced strip footings on cohesive–frictional soil with a surcharge effect were investigated. The numerical results showed that the efficiency factors were significantly influenced by the internal frictional angle and the spacing ratio. Several comparisons were made with those published in the literature. Furthermore, the failure mechanisms of closely spaced footings are presented, while design charts were produced with a wide range of practical parameters. This study should be of great interest to foundation engineering practitioners. Full article

Studying the migration and diffusion of radionuclides plays an important role in emergency decision making and accident mitigation of floating nuclear power plants. Based on the CALPUFF model, this paper simulates the spatial distribution and concentration distribution of airborne radionuclides ¹³¹I diffusion under the conditions of sailing and power supply under LOCA (Loss-of-Coolant Accident) of the floating nuclear power plant, and the influence of four meteorological parameters, namely wind speed, cloudiness, temperature and air pressure, on the migration was analyzed using sensitivity analysis. The results show that the wind direction affects the diffusion direction of ¹³¹I, and the concentration of ¹³¹I decreases with the increase in the diffusion distance; under the same conditions, the radionuclides diffuses farther and the affected area is larger under the sailing condition. Wind speed is the dominant factor affecting the diffusion of radionuclides, followed by the cloud amount parameter, temperature parameter, and air pressure parameter. The research results can provide theoretical support for emergency responses to nuclear accidents in offshore floating nuclear power plants. Full article

Phytoplankton and bacteria play key roles in material cycling and their consequent eco-functions in lakes, which are threatened by anthropogenic pressures, especially agricultural activities, which, in the watershed, are effective in changing the material composition and hydrodynamic conditions of the lake through material input and water withdrawal. This process theoretically changes the interaction and assembly pattern of microorganisms, which are important factors driving the structural and functional evolution of ecological communities in lakes. In this research, the community structure, interactions, and assembly of phytoplankton and bacteria were investigated during agro-irrigation seasons in a typical agricultural drainage receiving lake, Wuliangsuhai. The results showed that the seasonal variations in the community were driven by nitrogen and phosphorus. In particular, Cyanobacteria increased significantly during the seasons with the regulation of TP (λ = 0.56, p < 0.01, n = 30). The TN positively drove Chlorophyta and Bacillariophyta (λ = 0.42 and 0.65, p < 0.05, n = 30). Furthermore, MENA showed that planktonic algae and bacterial community interactions were enhanced, and interspecific competition increased at high trophic levels. The community assembly is primarily a stochastic process that is mostly related to hydrodynamic conditions. The second related factor, nitrogen and phosphorus inputs, had obvious effects on community assembly, which responded to its effects on species diversity, niche width, and interactions, and they jointly controlled community assembly. This study reveals that the assembly processes of bacteria and planktonic algae were driven by different environmental factors in specific ways, which provides a new view for understanding agriculture’s impacts on microecology and helps in developing lake protection strategies. Full article

The Yangtze River Delta urban agglomeration has an extremely important strategic location in the national regional development pattern, is the engine of China’s green economic development, and plays an important role in promoting the green transformation of the national economy. It is important to clarify the region’s current situation and the space–time characteristics of green economic growth. This study uses a super-efficiency dynamic Slacks-Based Measure (SBM) model to measure the green economic growth efficiency (GEGE) of 41 cities in the Yangtze River Delta urban agglomeration. Based on this, the exploratory spatial data analysis (ESDA) method is used to analyze the spatial correlation of the GEGE. Differently from previous studies, this paper evaluates the GEGE based on a dynamic perspective, considering the intertemporal role of capital. At the same time, the space–time analysis of regional systems (STARS) is used to explore the long-term development pattern and transition path of the GEGE in the Yangtze River Delta urban agglomeration. The results show the following: (1) The GEGE in the Yangtze River Delta urban agglomeration shows a fluctuating downward trend. The efficiency values of the Shanghai, Jiangsu, Zhejiang, and Anhui are significantly different, showing the distribution law of “high in the east and low in the west”. (2) The global spatial autocorrelation has weakened, but the characteristics of local agglomeration are obvious. (3) The space–time transitions show high spatial stability and path dependence. The findings highlight that the economic development of the Yangtze River Delta urban agglomeration is undergoing a difficult period of transition. Despite a decline in the GEGE, the overall regional linkage shows a positive trend. The conclusions can provide a reference for enhancing the green economic development of the Yangtze River Delta urban agglomeration. The implications of this research are important for the implementation of a regional integration strategy and the early achievement of the emission peak and carbon neutrality goals. Full article

Cattle manure usually contains a proportion of carbohydrates in the form of organic residues from incompletely digested feed and farm husbandry practices. These are not usually available for biogas production due to the long fermentation time. This paper investigates the optimal application of alkali, NaOH and KOH and mechanical pre-treatments to improve the degradation of the lignocellulosic content and the potential biogas yields from a local farm in Bavaria, Germany. Parameters such as temperature, pH, soluble chemical oxygen demand, organic acids, dry matter and volatile solids were analysed for this purpose. Alkali pre-treatments in 0.2, 0.1 and 0.05 M NaOH concentrations were tested in single mode and combined with shredding in batch experiments. The maximum increment of the soluble chemical oxygen demand during the pre-treatments took place during the first 50 h of experimentation, and it showed an improvement of 10,060.0 ± 8% mg/L s COD after the application of 0.2 M NaOH compared to the untreated substrate, which had an initial value of 2145.0 ± 8% mg/L s COD. Pre-treatments with 0.1 and 0.05 M NaOH concentrations showed similar s COD increments, with an additional 6860.0 ± 8% mg/L s COD and 8505.0 ± 8% mg/L s COD, respectively. The pH values varied strongly after the addition of the pre-treatment chemicals, with a continuous pH of 12 by 0.2 M NaOH during the 7 days of pre-treatment. Batch biogas experiments were done by applying 0.05 M NaOH and 0.05 M KOH pre-treatments in single mode and combined with shredding. The chemically pre-treated substrates showed a faster biogas production with an advantage of 18 days in comparison to the untreated cattle manure by a biogas yield of 350.0 NL/kg VS. All experiments were done under mesophilic conditions. Full article

Romania has a relatively high diversity of plant species, including 3829 vascular and 979 non-vascular spontaneous plant taxa (species and subspecies). Due to uncontrolled harvesting as well as other causes, including climate change and ecological collapse, the speed of species extinction and the narrowing of the genetic base of plant resources has been reported as a critical issue. Therefore, the national Red List of Romanian flora includes 1453 threatened taxa, of which 95 are endemic and 90 subendemic. Many of these have high ornamental, medicinal–cosmetic, and/or aromatic properties. The high extinction risk of these valuable plants has stimulated both the reconsideration of their vital importance as genetic resources and interest in finding effective methods for conservation. Cultivating these phytogenetic resources in a human-controlled environment is of high importance for effective ex situ conservation, which can further serve sustainable exploitation needs and may facilitate in situ conservation actions. In vitro culture is a powerful tool for producing elite plants for cultivation for different purposes. This review summarizes the current knowledge on in vitro multiplication of 22 endemic and subendemic native plants of Romania, examining the materials used, the treatments applied, and the results obtained in each stage of the micropropagation protocol (culture initiation, proliferation, rooting, and acclimatization). The findings from the reviewed studies are presented in a comparative way, and the potential of plant tissue culture in conservation and sustainable exploitation of these Romanian species is outlined. Full article

Natural convection heat transfer is a significant component in the energy transfer mechanism and plays an essential role in a wide range of scientific and industrial technologies. This research seeks to enhance the energy transfer by nanofluid, which is compatible with some applications, such as heat exchanger thermal energy storage (HXTES). For this purpose, a triplex tube heat exchanger (TTHX) is designed to receive the hot and cold flow by two pumps from two thermal baths, respectively. Samples of the Copper (Cu) nanoparticles were then carefully selected in a volume concentration range of 0.05 $\le$ $\varnothing$ $\le$ 0.5 to promote the thermal conductivity of the base fluid, which consists of 55% water and 35% ethylene glycol (EG), and to form nanofluid. On the other side, the effect of the porous medium of glass spheres inside a TTHX is considered. Experimentally, and after preparing the nanofluid, temperature readings of six various thermocouples locations have been investigated. The effects of Cu volume concentrations under different temperatures of 20 °C, 30 °C and 50 °C on nanofluid heat transfer are evaluated, respectively. One more result: the yields in the heat transfer coefficient of the hot tube were higher compared to those of the cold tube under Reynolds number (Re) between 200 and 7000. The efficiency of transition and turbulent flow through TTHX is clearly appointed. Overall, these findings support the supposition that the heat transfer enhancement is optimized by 0.05% nanoparticle volume concentration due to increasing thermal conductivity and fluid movement effectiveness. Ultimately, a natural progression of this work is to analyze more convective form using controlled trial applications, such as solar collectors. Full article

The availability of food in a country and the capacity of its citizens to access, acquire, and receive enough food are both referred to as having food security. A crucial component of food security is ensuring and maintaining safe and high-quality goods, which the supply chain process should take into due deliberation. To enhance the food supply chain, organic and wholesome food items should be encouraged. Although packaged goods are evaluated and approved by legal authorities, there is no mechanism in place for testing and assessing the market’s available supply on a regular basis. As a result, food manufacturers are compelled to provide nutritious and healthy products. In this research, we propose an explainable artificial intelligence-based faster regions with convolutional neural networks (XAI-based Faster RCNN) model to evaluate the contents of the food items through user-friendly web-based front-end design and QR code. To validate each communication token in the network, an elliptic curve integrated encrypted scheme (ECIES) based on blockchain technology is utilized. Additionally, artificial rabbit optimization (ARO) is used to register each user and assign him a key. The user will gain a deeper understanding of machine learning (ML) and AI applications using the XAI technique. An EAI-based Faster RCNN model is proposed to help digitize information about food products, rapidly retrieve the information, and discover any hidden information in the quick response (QR) code that could have impacted the safety and quality of the food. The results of the experiments indicated that the proposed method requires less response time than other existing methods with the increase of payload and users. The Shapley additive explanation is used to obtain a legal plea for the laboratory test based on the nutritional information present in the QR code. The benefits provided by ECIES-based blockchain technology assist policymakers, manufacturers, and merchants in efficient decision-making, minimizing public health hazards, and improving welfare. This paper also shows that the accuracy achieved by the proposed method reached 99.53%, with the lowest processing time. Full article

This study deals with the selection of a sustainable supplier on the example of the agribusiness company Mamex from Bosnia and Herzegovina. The main problem of this research is the selection of a sustainable supplier as a part of the sustainable strategy of the Mamex company. One of the prerequisites is that suppliers must present sustainability principles in business by having an appropriate certificate. The results of the selection of sustainable suppliers are completed using a new hybrid fuzzy approach with the methods IMF SWARA (Improved Fuzzy Stepwise Weight Assessment Ratio Analysis) and fuzzy TRUST (multi-normalization multi-distance assessment) CRADIS (compromise ranking of alternatives from distance to ideal solution) methods. The innovative approach is reflected in the use of a combination of these methods, especially by combining the TRUST and CRADIS methods into one method. The IMF SWARA method shows that the most important main criterion is the economic criterion, while the least important is the social criterion. By applying the fuzzy TRUST CRADIS method, it is found that out of the observed six suppliers, the second supplier has the best indicators. These results are confirmed by other fuzzy methods: MABAC (multi-attributive border approximation area comparison), WASPAS (weighted aggregated sum product assessment), fuzzy SAW (simple additive weighting), MARCOS (measurement of alternatives and ranking according to compromise solution), ARAS (a new additive ratio assessment), and TOPSIS (technique for order preference by similarity to an ideal solution). This research shows that applying more normalization when ranking alternatives reduces the influence of individual normalizations, and this approach should be used in future research. Full article

Strengthening the resource utilization of construction waste can improve the environment, alleviate resource shortage, and build a harmonious ecological environment between man and nature. Prospect theory was integrated into trilateral evolutionary game theory to analyze the processes of resource utilization of construction waste among local government, construction enterprises, and the public by establishing the perceived payoff matrix of the three players in the game and using the replication dynamic equation to analyze their strategy choices and evolution path. The results showed that the strategies of the three players depended on the strategies chosen by the other side, the perceived value of the relevant parameters, and the numerical relations among them. Under the conditions that the local government reasonably controlled the supervision cost and the degree of rewards and punishments, the construction enterprise promoted the resource-based technology and management means, and the public enhanced the sense of social responsibility, the game model would evolve toward the ideal state of (1,1,1), to realize the resource utilization of construction waste. Full article

The purpose of this paper is to help better understand the problem of energy poverty; to grasp the research context, evolution trends and research hotspots of energy poverty; and to find clues from research on energy poverty. In this paper, we use the scientific quantitative knowledge graph method and CiteSpace software to analyze 814 studies in the WOS (Web of Science) and CNKI (China National Knowledge Infrastructure) databases, such as a literature characteristic analysis, a core author and research institution network analysis, a research hotspot analysis, research trends and a frontier analysis. The results show that the specific connotations of energy poverty are different between developed countries and developing countries. In developed countries, energy poverty is mainly manifested in the affordability of energy consumption, while in developing countries, energy poverty is manifested in the availability of energy. The causes, impacts and solutions of energy poverty are the focus of CNKI and WOS literature, and their perspectives of the impacts and solutions are relatively consistent. However, in terms of the causes, scholars of WOS discuss the energy supply side and the demand side, while scholars of CNKI mainly analyze the energy demand side. The quantitative evaluation system of energy poverty has not been unified, which restricts the depth and breadth of energy poverty research. Topics such as the expanding scope of research objects; the interaction among energy poverty, the “two-carbon” target and other macro factors; the complex and severe energy poverty situation following the COVID-19 pandemic and the outbreak of the war in Ukraine; and the ways to solve the energy poverty problem in the context of China may become the focus of research in the future. This study provides an overview for researchers who are not familiar with the field of energy poverty, and provides reference and inspiration for future research of scholars in the field of energy poverty research. Full article

Thermal energy storage technology can effectively promote the clean heating policy in northern China. Therefore, phase-change heat storage heating technology has been widely studied, both theoretically and experimentally, but there is still a lack of engineering application research. According to the characteristics of heating load in northern rural areas, a kind of solar heating system using phase-change materials (PCMs) for heat storage is proposed. Furthermore, a farmhouse is used to demonstrate the practical engineering applications of the heating system. The heating system consists of the phase-change heat storage device (PCHSD), solar thermal panels, and a floor radiant heating terminal, which can realize the effective utilization of solar energy. Considering solar power generation capacity, heating load characteristics of farm buildings, and the local electricity price model, four potential operation modes of the heating system are established. Then, the corresponding control strategies are proposed for the four operating modes. The actual operation data of the heating system under different operating modes were collected continuously, and the application effect of the heating system was evaluated from the aspects of thermal efficiency of the device, the renewable energy efficiency, thermal comfort level, and economy. The experimental results show that: (1) The thermal efficiency of the device is mainly affected by the heating load, which can reach more than 80% during the test period; (2) the renewable energy efficiency of the system is positively correlated with the solar radiation intensity, and the maximum can reach 100% when the solar radiation is sufficient; (3) the system maintains excellent thermal comfort in all conditions, with the average and the highest thermal comfort time accounting for 80% and 100%, respectively; (4) compared with the average level of existing clean heating technology, the annual operating cost of the system is reduced by 27.3%, and the economy is significant. The results show that the system achieves effective performance during the test period. Full article

As the gig economy grows, the side hustle has become a hot topic; however, little research has focused on the influence of side-hustle behavior from a microscopic perspective. This study explores how and when individual skill variety affects side-hustle intention from an individual level. Based on self-determination theory, this study constructs an influence model of individual skill variety on side-hustle intention with role breadth self-efficacy as the mediator and side-hustle meaningfulness as the moderator. Data collected from 402 individuals in China through a questionnaire survey were used for empirical analysis. The results indicate that (a) individual skill variety is positively associated with side-hustle intention; (b) role breadth self-efficacy plays a mediating role in the relationship between individual skill variety and side-hustle intention; (c) side-hustle meaningfulness moderates the relationship between role breadth self-efficacy and side-hustle intention, and moderates the mediating effect of role breadth self-efficacy. Finally, the theoretical implications and limitations are discussed. Full article

Social media is a platform where people communicate, share content, and build relationships. Due to the current pandemic, many people are turning to social networks such as Facebook, WhatsApp, Twitter, etc., to express their feelings. In this paper, we analyse the sentiments of Indian citizens about the COVID-19 pandemic and vaccination drive using text messages posted on the Twitter platform. The sentiments were classified using deep learning and lexicon-based techniques. A lexicon-based approach was used to classify the polarity of the tweets using the tools VADER and NRCLex. A recurrent neural network was trained using Bi-LSTM and GRU techniques, achieving 92.70% and 91.24% accuracy on the COVID-19 dataset. Accuracy values of 92.48% and 93.03% were obtained for the vaccination tweets classification with Bi-LSTM and GRU, respectively. The developed models can assist healthcare workers and policymakers to make the right decisions in the upcoming pandemic outbreaks. Full article

Nowadays, fossil fuels are used in a clearly unsustainable way that can bring potentially catastrophic consequences. Electricity is currently delivered to end users by generation and energy transmission companies. Previous research shows that the development of modern circular economy sets a need for the re-orientation of socio and economic development of decentralized systems, including energy basis. In addition to being ecological, the use of renewable energy sources also has economic significance by contributing to energy independence. Citizens, industries, local and national authorities become interconnected within emerging novel renewable energy sourcing communities, through which they establish trade of energy and, most importantly, models of investing and reshaping the distribution of renewable energy. The modern portfolio management of renewable energy networking is aiming toward decentralized systems of trade, where the consumer becomes a producer (prosumer) within the network, itself managed by users. Excess energy produced in the micro-grid nets within the over-arching national and transnational energy grid should be accounted for and managed with blockchain technology for financial and structural security. The decentralization of the energy market requires the establishment of strict norms that will regulate the market and taxation of profits arising. The extensive literature review on blockchain in the energy sector reflects a very pragmatic and narrow approach to the topic, although it is evident that the distribution of energy within the blockchain would enable economic development through reducing cost and ensuring more secure energy trade. Blockchain technology embeds the related digital codes, in which information will be visible to all, but also secured from hacking and duplicating. However, there are challenges to this paradigm, not least the energy consumption of the extensive nodal mesh required to perform the necessary protocols. This paper aims to provide an overview of the application of blockchain technology and the need for the development of the regulatory system and of potential solutions to the challenges posed. By undertaking an energy consumption analysis of blockchain implementation from first electronic principles, which has not been constructed before in the literature, this paper’s conclusion stresses the future demand for reducing energy consumption and considers the latest findings in the quantum coupling of light signals as a potential for solving the enormous ledger duplication structure problem. Full article

In recent years, the investment of private equity funds in China has increased and has become an important tool to promote industrial structure upgrades. Therefore, it is of theoretical and practical significance to study how and why industrial upgrades are driven by private equity funds. First, we use the understanding of heterogeneity to study the differences between the use of private equity funds and other financial instruments to stimulate industrial upgrades, and we represent industrial growth from two perspectives: economic aggregate growth and economic efficiency improvement. Next, we use shift-share analysis to disaggregate industrial upgrades into static and dynamic transfer effects, showing that other financial instruments only promote production factor mobility but not production efficiency, while private equity funds significantly contribute to both mobility and efficiency. Finally, the mediating effect model is used to study how private equity funds drive industrial upgrades: mainly from efficiency improvement based on technological progress and innovation output, and to a lesser extent from the promotion of factor mobility. The findings have practical value and implications for the optimization of financial reforms and the sustainability of regional economies. Full article

The tensile and shear properties of plant roots are important factors that determine their slope protection and are also direct indicators for evaluating plant roots for slope protection. In order to explore the soil-fixing properties of root system and root–soil composite of Indigofera amblyantha and Cassia bicapsularis, the high and steep slope of Zhaofu quarry in Wudang District of Guiyang City was taken as the research background. The effects of root diameter, tree species, root water content and normal pressure on the tensile properties of single root, direct shear friction of root system and shear properties of root–soil composite were investigated by an indoor mechanical test and a direct shear friction test. Results showed that under saturated water content, the tensile strength of C.longifolia decreased, and the tensile strength of C.bifolia also decreased. With the increase in water content from 10.3% to 22.3%, the friction strength of the root–soil interface increased gradually, and the friction strength of root–soil interface of Cassia bicapsularis was greater than that of Cassia longifolia. With the increase in root diameter, the root–soil interfacial friction strength of the two shrubs increased slightly. The normal pressure also increases the density of the soil, so that the roots give full play to the reinforcement effect. The greater the normal pressure, the greater the shear strength of the root–soil composite. When the water content increased from 10.3% to 22.3%, the shear strength of the two-shrub root–soil composites increased first and then decreased gradually, reaching the maximum at 14.3%, followed by the shear strength at 10.3%, reaching the minimum at 22.3%. Full article

Taking methanol production as an example, the concept of “ontology” is introduced to construct a safety knowledge ontology, and a safety information knowledge base is created with the help of the Protégé software. These can be used to efficiently handle the massive safety information data of dangerous chemical enterprises, associate all kinds of miscellaneous information, and improve the level of safety management. An accident tree reasoning model is designed to determine the cause of the accident using accident tree reasoning, and to mine the vast knowledge of safety information, according to safety information knowledge and accident tree analysis theory. Using these methods, the storage, processing, and reuse of safety information are realized, the efficiency of safety management can be improved, and the defects caused by incomplete personnel knowledge structure can be avoided. Full article