bluuebunny/crossref_metadata_2025 huggingface dataset:
DeviceTalk: A No-Code Low-Code IoT Device Code Generation
Authors: Chen Whai-En , Lin Yi-Bing , Yen Tai-Hsiang , Peng Syuan-Ru , Lin Yun-Wei
Published: July 2022

The deployment of a client–server-based distributed intelligent system involves application development in both the network domain and the device domain. In the network domain, an application server (typically in the cloud) is deployed to execute the network applications. In the device domain, several Internet of Things (IoT) devices may be configured as, for example, wireless sensor networks (WSNs), and interact with each other through the application server. Developing the network and the device applications are tedious tasks that are the major costs for building a distributed intelligent system. To resolve this issue, a low-code or no-code (LCNC) approach has been purposed to automate code generation. As traditional LCNC solutions are highly generic, they tend to generate excess code and instructions, which will lack efficiency in terms of storage and processing. Fortunately, optimization of automated code generation can be achieved for IoT by taking advantage of the IoT characteristics. An IoT-based distributed intelligent system consists of the device domain (IoT devices) and the network domain (IoT server). The software of an IoT device in the device domain consists of the Device Application (DA) and the Sensor Application (SA). Most IoT LCNC approaches provide code generation in the network domain. Very few approaches automatically generate the DA code. To our knowledge, no approach supports the SA code generation. In this paper, we propose DeviceTalk, an LCNC environment for the DA and the SA code development. DeviceTalk automatically generates the code for IoT devices to speed up the software development in the device domain for a distributed intelligent system. We propose the DeviceTalk architecture, design and implementation of the code generation mechanism for the IoT devices. Then, we show how a developer can use the DeviceTalk Graphical User Interface (GUI) to exercise LCNC development of the device software.
Novel Projection Schemes for Graph-Based Light Field Coding
Authors: Bach Nguyen Gia , Tran Chanh Minh , Duc Tho Nguyen , Tan Phan Xuan , Kamioka Eiji
Published: July 2022

In light field compression, graph-based coding is powerful to exploit signal redundancy along irregular shapes and obtains good energy compaction. However, apart from high time complexity to process high dimensional graphs, their graph construction method is highly sensitive to the accuracy of disparity information between viewpoints. In real-world light field or synthetic light field generated by computer software, the use of disparity information for super-rays projection might suffer from inaccuracy due to vignetting effect and large disparity between views in the two types of light fields, respectively. This paper introduces two novel projection schemes resulting in less error in disparity information, in which one projection scheme can also significantly reduce computation time for both encoder and decoder. Experimental results show projection quality of super-pixels across views can be considerably enhanced using the proposals, along with rate-distortion performance when compared against original projection scheme and HEVC-based or JPEG Pleno-based coding approaches.
Study of Texture Indicators Applied to Pavement Wear Analysis Based on 3D Image Technology
Authors: Li Yutao , Qin Yuanhan , Wang Hui , Xu Shaodong , Li Shenglin
Published: July 2022

Pavement texture characteristics can reflect early performance decay, skid resistance, and other information. However, most statistical texture indicators cannot express this difference. This study adopts 3D image camera equipment to collect texture data from laboratory asphalt mixture specimens and actual pavement. A pre-processing method was carried out, including data standardisation, slope correction, missing value and outlier processing, and envelope processing. Then the texture data were calculated based on texture separation, texture power spectrum, grey level co-occurrence matrix, and fractal theory to acquire six leading texture indicators and eight extended indicators. The Pearson correlation coefficient was used to analyse the correlation of different texture indicators. The distinction vector based on the information entropy is calculated to analyse the distinction of the indicators. High correlations between ENE (energy) and ENT (entropy), ENT and D (Minkowski dimension) were found. The CON (contrast) has low correlations with HT (macro-texture power spectrum area), ENT and D. However, the differentiation of ENE and HT is more prominent, and the differentiation of the CON is smaller. ENE, ENT, CON and D indicators based on macro-texture and the corresponding original texture have strong linear correlations. However, the microtexture indicators are not linearly correlated with the corresponding original texture indicators. D, WT (micro-texture power spectrum area) and ENT exhibit high degrees of numerical concentration for the same road sections and may be more statistically helpful in distinguishing the characteristics of the pavement performance decay of the road sections.
Anisotropy of the ΔE Effect in Ni-Based Magnetoelectric Cantilevers: A Finite Element Method Analysis
Authors: Hähnlein Bernd , Sagar Neha , Honig Hauke , Krischok Stefan , Tonisch Katja
Published: July 2022

In recent investigations of magnetoelectric sensors based on microelectromechanical cantilevers made of TiN/AlN/Ni, a complex eigenfrequency behavior arising from the anisotropic ΔE effect was demonstrated. Within this work, a FEM simulation model based on this material system is presented to allow an investigation of the vibrational properties of cantilever-based sensors derived from magnetocrystalline anisotropy while avoiding other anisotropic contributions. Using the magnetocrystalline ΔE effect, a magnetic hardening of Nickel is demonstrated for the (110) as well as the (111) orientation. The sensitivity is extracted from the field-dependent eigenfrequency curves. It is found, that the transitions of the individual magnetic domain states in the magnetization process are the dominant influencing factor on the sensitivity for all crystal orientations. It is shown, that Nickel layers in the sensor aligned along the medium or hard axis yield a higher sensitivity than layers along the easy axis. The peak sensitivity was determined to 41.3 T−1 for (110) in-plane-oriented Nickel at a magnetic bias flux of 1.78 mT. The results achieved by FEM simulations are compared to the results calculated by the Euler–Bernoulli theory.
QoS-Aware Cost Minimization Strategy for AMI Applications in Smart Grid Using Cloud Computing
Authors: Khan Asfandyar , Umar Arif Iqbal , Shirazi Syed Hamad , Ishaq Waqar , Shah Mohsin , Assam Muhammad , Mohamed Abdullah
Published: July 2022

Cloud computing coupled with Internet of Things technology provides a wide range of cloud services such as memory, storage, computational processing, network bandwidth, and database application to the end users on demand over the Internet. More specifically, cloud computing provides efficient services such as “pay as per usage”. However, Utility providers in Smart Grid are facing challenges in the design and implementation of such architecture in order to minimize the cost of underlying hardware, software, and network services. In Smart Grid, smart meters generate a large volume of different traffics, due to which efficient utilization of available resources such as buffer, storage, limited processing, and bandwidth is required in a cost-effective manner in the underlying network infrastructure. In such context, this article introduces a QoS-aware Hybrid Queue Scheduling (HQS) model that can be seen over the IoT-based network integrated with cloud environment for different advanced metering infrastructure (AMI) application traffic, which have different QoS levels in the Smart Grid network. The proposed optimization model supports, classifies, and prioritizes the AMI application traffic. The main objective is to reduce the cost of buffer, processing power, and network bandwidth utilized by AMI applications in the cloud environment. For this, we developed a simulation model in the CloudSim simulator that uses a simple mathematical model in order to achieve the objective function. During the simulations, the effects of various numbers of cloudlets on the cost of virtual machine resources such as RAM, CPU processing, and available bandwidth have been investigated in cloud computing. The obtained simulation results exhibited that our proposed model successfully competes with the previous schemes in terms of minimizing the processing, memory, and bandwidth cost by a significant margin. Moreover, the simulation results confirmed that the proposed optimization model behaves as expected and is realistic for AMI application traffic in the Smart Grid network using cloud computing.
Emerging Approach for the Application of Hibiscus sabdariffa Extract Ointment in the Superficial Burn Care
Authors: Khalil Rania , Yahya Galal , Abdo Walied S. , El-Tanbouly Ghada S. , Johar Dina , Abdel-Halim Mahmoud Saad , Eissa Hanan , Magheru Calin , Saber Sameh , Cavalu Simona
Published: July 2022

Wound healing comprises organized events involving tissue repair and regeneration. The discovery of toll-like receptors (TLRs) sheds recent light on the mechanisms involved in initiating inflammatory responses throughout the healing cascades. Hibiscus sabdariffa (HS) components may exhibit a wound healing action, owing to their antioxidant and anti-inflammatory activities. This study was designed to investigate the early effects of HS loaded in an ointment base on wound healing, antioxidant, antimicrobial effects, burning intensity, and histopathological features on the rat burn model in comparison to the standard treatment, Iruxol® ointment. A burn injury model was used to evaluate the wound healing potency of the preparation. Rats were treated with ointments three times on the day of the induction of the burn. Findings revealed that the strong antioxidant properties of the HS-loaded ointment augmented the skin healing potential by stimulating biomarkers required for skin regeneration. HS repressed the burning-induced inflammation by the effective reduction in the levels of tumor necrosis factor α (TNF-α) and IL-6 through TLR4 protein inhibition. Topical HS downregulates transforming growth factor-beta (TGF-β) levels. HS extract possesses a potential bactericidal activity against highly resistant clinical isolates of Pseudomonas aeruginosa. Overall, this study proclaims that HS-loaded topical preparations could be a valuable product that serves as adjuvants to accelerate burn wound healing through inactivating the TLR4 pathway.
Microplastics and Heavy Metals Removal from Fresh Water and Wastewater Systems Using a Membrane
Authors: Nkosi Simphiwe Dineo , Malinga Soraya Phumzile , Mabuba Nonhlangabezo
Published: July 2022

Water pollution, resulting from the degradation of plastics into microplastics, exposes humans and other living organisms to contaminated drinking water. Microplastics are capable of adsorbing toxic heavy metals which are carcinogenic and may affect the reproductive functions of living organisms. Hence, this study focuses on the characterization and quantification of microplastics in water to raise the awareness and propose a method of dealing with this emerging pollutant in various aqueous environments. The microplastics were separated from water using polyvinylidene difluoride (PVDF) and PVDF modified with carbon nano-onions (CNOs). The PVDF exhibited the highest concentration of microplastics in the wastewater influent (140 ± 1.85 MP/L) compared to the effluent (8.8 ± 2.10 MP/L), tap water (6.5 ± 5.77 MP/L), and lake water (10 ± 2.65 MP/L). The stereo microscope displayed red, blue, and black colored plastics. The morphological properties were determined using SEM. ATR-FTIR, equipped with Spectrum 10 Spectroscopy Software was used to establish the presence of high-density polyethylene (50%), poly(1,4-butylene terephthalate) (16.6%), nylon 12 (16.6%), and cellulose (16.6%) in the influent. The quantification of heavy metals extracted from the microplastics indicated that the concentrations of As (1.759 to 8.699 mg/L), Cu (83.176 mg/L) and Zn (0.610 mg/L) were above the acceptable limits. Our work is beneficial for the development of a microplastics monitoring protocol for various municipalities. Water treatment plants may also include the treatment of microplastics in the influent and monitor the effluent before the water is released back into the environment.
Deaf-Accessible Parenting Classes: Insights from Deaf Parents in North Wales
Authors: Foltz Anouschka , Cuffin Holly , Shank Christopher
Published: July 2022

Parenting support services and programs develop and strengthen existing parenting skills. However, in the UK and despite the 2010 UK Equality Act’s provisions, these programs are generally not accessible for Deaf parents whose first and/or preferred language is British Sign Language (BSL) because the medium of instruction is typically spoken and written English. This small-scale qualitative interview study gauged North Walian Deaf parents’ needs and preferences for accessing parenting classes. A structured interview assessed a small group of North Walian Deaf parents’ language practices, their perceptions of parenting support and accessibility, and their needs and preferences when it comes to parenting classes. An additional case study of a Deaf parent’s experience of participating in an 11-week-long parenting course with an English-BSL interpreter provides further insight into how such classes can be made accessible to Deaf parents. The main interview findings were that the participants had substantially lower English skills than BSL skills, that face-to-face delivery was preferred over online BSL support, and that all materials should be made available in BSL. The case study further uncovered several small adjustments that should be made to face-to-face classes to make them accessible to Deaf parents. In conclusion, materials from already existing parenting classes should be translated into BSL, interpreters should be available, and small adjustments to face-to-face classes should be made, so that Deaf parents can access and participate in already existing parenting programs.
“Being Diverse and Being Included, Don’t Go Together in Policing”—Diversity, Inclusion, and Australian Constables
Authors: Miles-Johnson Toby , Fay Suzanna
Published: July 2022

Across the globe, there is little research that examines the impact of diversity on police practice, particularly whether it increases or decreases the competency of the police organization or whether police officers perceive diversity within the organization and the addition of diverse officers as positive or negative. Contributing new findings to the extant policing literature, this research analyzes data collected from interviews with forty-six constables working in one of the largest Australian state police organizations. Contributing five key findings regarding diversity and inclusion in policing, this research suggests that lack of acceptance of diversity broadly, and bias towards diverse identified officers, results in the exclusion of officers, and a workforce that is fragmented. The lack of unification constables in this research have with diverse colleagues is concerning given that a cohesive police team increases the safety of all officers, improves the effectiveness of police response, strengthens the communication between police and citizens (as well as communication within the organization), increases the morale of officers, and will support the legitimacy of the organization. Whilst constables in this study were not asked questions about their own implicit or explicit levels of bias towards members of diverse groups, the unsolicited responses from many of the constables, as well as the recognition of Whiteness in terms of the racial identity of many officers within the organization, suggests that constables in this study are biased towards officers that are not part of the majority group.
Precursors and Antecedents of the Anthropocene
Authors: Heyd Thomas
Published: July 2022

There seem to be two sorts of debates about precursors and antecedents to the Anthropocene. One concerns the question whether the concept of the Anthropocene was captured by earlier terms, such as “noösphere” or “the Anthropozoic Era”. The other concerns whether the full-scale transformation of Earth systems was already, at least partially, triggered sometime prior to the 19th century Industrial Revolution. This paper takes a wider perspective, which may be seen as orthogonal to these debates, by enquiring whether there are other biological agents in Earth history who may have generated a new Epoch, and also by seeking to identify historical and prehistoric antecedents in human–nature relations that may foreshadow the Anthropocene. One conclusion is that humans are certainly not the first biotic agents becoming drivers of planetary system changes. Another conclusion, ironically, is that some cultural innovations that were adaptive under earlier conditions presently have become collectively mal-adaptive and contributory to the hazards of our new Epoch. Finally, it is suggested that while it may be unclear whether we can manage the socio-political challenges of our times, our adaptive versatility in principle ought to suffice to successfully manage the climate challenges of the Anthropocene.
Economics of Biobanking: Business or Public Good? Literature Review, Structural and Thematic Analysis
Authors: Baláž Vladimír , Jeck Tomáš , Balog Miroslav
Published: July 2022

This paper reviewed the relevant scientific literature on the business and economics of biobanking to explore key themes and paradigms. The structural properties of the literature were investigated, such as key authors, journals, studies, as well as co-citation and co-authorship networks; the study revealed that the research on business and economics is a niche area within the vast biobanking literature. The research is concentrated in a relatively small number of journals, institutions, and countries, which is rather surprising given the substantial public investment in and concerns about biobank sustainability. The structural analysis also suggested major themes in research on biobanking business and economics and noted shifts in focus on specific themes. The commercialisation of samples is more acknowledged than before but under the condition of equitable sharing of benefits across various stakeholders. Most biobanks are heavily subsidised by the public sector and are considered public goods rather than business enterprises. This is OK, but underutilisation of specimens and low rates of cost recovery suggest that the current mainstream operating model is hardly sustainable. With many biobanks maturing, long-term sustainability became a key topic of the discussion on biobanking trends.
Sustainable Tourism and Conservation of Underground Ecosystems through Airflow and Particle Distribution Modeling
Authors: Addesso Rosangela , Pingaro Stefano , Bisceglia Bruno , Baldantoni Daniela
Published: July 2022

Underground ecosystems are often of interest for the tourism industry due to their important naturalistic and cultural heritage. Since these underground ecosystems are almost completely isolated, external agents (such as human presence) can easily disrupt their chemico-physical and biological processes, which can affect, sometimes irrevocably, their natural equilibrium, placing the preservation of such sites at risk. The most sensible managers of caves, catacombs, mines, and all the accessible cultural sites are searching for methods to control these dynamics and the modeling appears to be effective in preventing scenarios of the known impacts as well as suggesting strategies for their mitigation. In this study, by employing finite element analysis by the COMSOL Multiphysics software and reproducing, in a simplified way, a section of the tourist trail of the Pertosa-Auletta Cave (Italy), for the first time we provided a fact-finding survey of the airflow and the scattering and subsequent deposition of particles transported by tourists. Taking into account discontinuities in the pathway, the simulations rebuilt the possible natural airflow line, reproducing the particle movements induced by different tourist loads, whose high numbers increase the swirling movement of air masses, promoting a higher dispersion of particles, even in the remote cave areas. Performed simulations clearly indicated both the speed and direction followed by particles, as well as deposition sites, highlighting potential hotspots of damage, and demonstrating that the employed approach can be an excellent tool for planning the management of these extraordinary ecosystems, foretelling anthropogenic impacts, and supporting managers in decision-making processes.
VGEs as a New Platform for Urban Modeling and Simulation
Authors: Lin Hui , Xu Bingli , Chen Yuting , Li Wenhang , You Lan , He Jie
Published: July 2022

The complexity of interrelationships between urban natural environments and human environments is increasing with rapid urbanization. This brings new challenges to urban modeling and simulation in simultaneously meeting the comprehensive needs of the dual integration of data and models, multi-type visualizations, human-centered simulation, geographic collaboration, and interactions between physical and virtual spaces. We here propose virtual geographic environments (VGEs) as a new platform of urban modeling and simulation. After discussing the evolution, definition, and features of VGEs, we design a VGE framework for urban system modeling and simulation. Two typical cases are provided to illustrate how VGEs support urban modeling and simulation on different scales: VGE-based collaborative modeling and the simulation of air pollution dispersion in the Pearl River Delta (PRD) urban agglomeration, and fire emergency crowd evacuation simulation. In the future, VGEs may also play an important role in digital twin cities and urban metaverses.
Sludge Management at the Kraków-Płaszów WWTP—Case Study
Authors: Górka Justyna , Cimochowicz-Rybicka Małgorzata , Poproch Dominika
Published: July 2022

Municipal wastewater treatment plants are good examples of facilities where the concept of a circular economy model can be effectively implemented by the recovery of energy as well as secondary and natural materials. That is why anaerobic co-digestion has become one of the most appealing renewable energy pathways and takes a key position within sludge-handling processes. This research looked into the feasibility of the utilization of water sludge from a water treatment plant in anaerobic co-digestion with sewage sludge. The experiments confirmed that anaerobic digestion of sewage sludge together with water sludge significantly improved fermentation gas (biogas) production. The best results were observed when water treatment sludge constituted 30% of the mass of sewage sludge (as volatile solids, VS). At this ratio, approximately 20% more biogas was produced in laboratory experiments compared to the biogas production from sewage sludge only. The results, once confirmed on a semi-technical scale, will help to develop a sequence of processes which would enhance biogas production. Both the technology and the final product offer a comprehensive solution for waste generated at water and wastewater treatment plants. The innovative approach allows for the use of various waste streams and their combined processing following the principle of the circular economy.
Fostering Entrepreneurial Ecosystems through the Stimulation and Mentorship of New Entrepreneurs
Authors: Nate Silviu , Grecu Valentin , Stavytskyy Andriy , Kharlamova Ganna
Published: July 2022

Existing definitions of entrepreneurship highlight the functional role of entrepreneurs, emphasizing their responsibilities for coordination, allocating resources, making decisions, supplying capital, innovation, and bearing uncertainty. This research analyzes the impact that external funding and supportive soft-skills mechanisms such as mentorship, advice, and networking with experienced entrepreneurs have on transforming the entrepreneurial attitude of new entrepreneurs. In measuring attitudes regarding entrepreneurial success, a series of variables specific to the nature of the analyzed entrepreneurial ecosystem are revealed and adapted, starting from psychological research. This approach is implemented to evaluate the self-perception of efficacy and transformation of entrepreneurs after initiating their companies. The survey of Romanian new entrepreneurs is considered as the database. The Global Entrepreneurship Monitor (GEM) data set is used to consider entrepreneurial motives and impacts at the macrolevel. The correlation analysis, statistical tests, and ANOVA helped to reveal the differences in attitudes to mentorship and similar indicators in the Romanian business environment. The novelty of the research is seen in the consideration of field cases and a global monitoring data set through the prism of ground mathematical methods. The focus on boosting new entrepreneurs with a mixture of finance and soft skills support simultaneously addresses a research gap that is slightly closed by this research. The study showed that the mentoring program for new entrepreneurs increased their self-confidence, especially for young people, taught them how to run a company without outside interference, and significantly transformed the mentality of the participants in the experiment. Thus, the policy of supporting new entrepreneurs not only financially, but also in skills, has good prospects and needs to be intensified.
Dynamic Simulation of Ecological Flow Based on the Variable Interval Analysis Method
Authors: Wei Na , Xie Jiancang , Lu Kunming , He Shuni , Gao Yating , Yang Feng
Published: July 2022

Ecological flow is an important basis for maintaining the structure and function of river ecosystems, and ensuring the sustainable development of economies and societies in river basins. In order to solve the problems of unclear concepts of ecological flow, difficulty in adapting to dynamic changes in demands, and the hydrological conditions and poor operability of calculated results of a practical application, a variable interval analysis method (VIAM) was proposed to calculate the ecological flow. The method comprehensively considered a variety of variable factors, such as spatial–temporal scale changes, hydrological condition changes, ecological service object changes, and calculation method changes. On the basis of a relatively fixed ecological base flow, a variable lifting amount was added to determine the ecological flow, and the ecological flow was a variable interval. Taking the Wei River as an example, the VIAM was validated and applied. With the support of a knowledge visualization integrated platform, the ecological flow simulation system of the Wei River was constructed. The results show that: (1) the VIAM makes the ecological flow calculation more scientific and reasonable, and the ecological flow of the Wei River from the upper reaches to the lower reaches increases gradually under the influence of water inflow, sewage discharge, and erosion and deposition of sediment, and the annual total water demand of the upper limit of ecological flow in a dry year is 1.04 billion m3, 1.63 billion m3, 2.29 billion m3, 4.09 billion m3, and 4.66 billion m3; (2) the variable interval is used to describe the ecological flow, which has strong applicability and operability; (3) the simulation system can quickly adapt to the demand changes in practical application, and provide visual decision support for managers. The VIAM provides new ideas and references for comprehensively promoting the control of the ecological flow.
Evaluation of Soil Characteristics for Agricultural Machinery Management and Cropping Requirements in AL Aflaj Oasis, Saudi Arabia
Authors: Al-Dosary Naji Mordi Naji
Published: July 2022

Saudi Arabia’s topographic features have great significance and impact on the diversity of physical environments for plant growth and agricultural activities. Cultivated land is at a premium in Saudi Arabia, and soil evaluation is increasingly important. Thus, the intended purpose of this investigation was to determine both the genesis and soil properties to improve the management of arid soil, which is represented by Al-Aflaj Oasis, during tillage operations. The parameters of this research output were the soil’s chemical and physical properties. Data were collected from field experiments by drilling and evaluating soil profiles using soil sampling tools. This study classified the soil of Al Aflaj Oasis, which is a part of the Najd Plateau. It analyzed the soil profile, the failure to provide nutrients for agricultural production, and the impact of spring floods, modern equipment, fertilizer management, and irrigation methods on agricultural prospects. Topographic and geological maps provided the origin of the soils in the area. The morphological description included measurements and characterization of soil horizons and boundaries, moisture status, soil texture, construction, cohesion, estimation of calcium carbonate, and other morphological phenomena. Laboratory analysis measured the soil particle size, soluble salts, calcium carbonate, organic material, electrical conductivity, and percentages of silt, clay, and sand. The soil was deep, with a coarse texture characterized as sandy to sandy clay; the gravel content ranged from 19.70 to 62.50%, with a cohesive structure at the bottom of the soil profile and slight cohesion at the surface. The soil had low organic matter content, and a hard layer of calcium existed at a depth of 100 cm. The soil was classified as arable land within a subgroup of Typic Haplocalcids. Chemical analysis showed low salinity, slight alkalinity, and high calcium carbonate (22–64%). The soil underwent a historical transformation. To enhance agricultural potential, the chemical and physical properties need adjustment by introducing organic matter, intensive deep cultivation, diversification of agricultural fertilizers, and careful irrigation management. Since recent cultivation has been limited to a depth of 100 cm, the hard calcium carbonate layer should be considered carefully. Future crop cultivation should include deep plowing (e.g., chisel and furrow plows) to fragment the solid soil structure and facilitate suitable farming practices, and the growth of plants in the lands affected by the ancient overflows of the Al Aflaj springs, such as the Al Aflaj Oasis, can be made productive and consistent with other agricultural areas.
Circular Composites by Design: Testing a Design Method in Industry
Authors: Joustra Jelle , Bakker Conny , Bessai Riel , Balkenende Ruud
Published: July 2022

The design of composite products for a circular economy is challenging. Materials such as glass-fibre-reinforced plastics have long product lifetimes but are hard to recycle. For the effective reuse and recycling of products, parts, and materials, recovery strategies must be selected and implemented in the product design stage. This extends the scope and complexity of the design process and requires additional skills from the designers. We developed a novel circular composites design method for products containing composite materials to support designers and improve product circularity. This method, which is the first of its kind to address the circular design of composite products, helps designers explore recovery pathways and generate design solutions. In this study, we evaluated the method’s effectiveness, accessibility, and usability in design practice. We tested the method with five design case studies in the construction, furniture, and automotive industries. The method was used to generate, evaluate, communicate, and detail product designs. We found that two of the five cases used the method to develop circular product concepts. In the other three cases, recycling rather than product-level recovery strategies was the result, with a focus on improving the material formulations instead of the overall product design. Although the designers considered the method accessible and usable, its effectiveness was restricted by the existing business, logistics, reprocessing technology, and policy contexts. These factors are intertwined and partly dictate the boundary conditions of the design, which means that to successfully implement the proposed method, the transition to a circular economy requires a holistic approach to adjust the design process, organisations, and value chains.
Drivers of Livelihood Strategies: Evidence from Mexico’s Indigenous Rural Households
Authors: Fierros-González Isael , Mora-Rivera Jorge
Published: July 2022

Mexico has the largest Indigenous population in the Americas and the most native languages in the region. These Indigenous peoples face a similar set of structural barriers to achieving more sustainable livelihoods, including criminal violence and huge hurdles to accumulating assets, in addition to their poverty. The purpose of this paper is to identify the main drivers of sustainable livelihood strategies in Indigenous households in rural Mexico. Using cluster analysis and a multinomial logit model based on a mixed approach that employs a traditional perspective of development alongside the sustainable livelihoods approach (SLA), our results suggest that a significant proportion of Indigenous households engage in livelihoods linked to the environment and nature, while only a small segment of households has been able to accumulate assets and adopt more profitable non-farming livelihoods. Our findings also reveal how the creation of human capital, the provision of basic services, and support to mitigate the effects of extreme weather all contribute to reducing risk for Indigenous households. The findings suggest that public policies must target these specific issues in order to solve structural problems that limit the efficacy with which Indigenous households use their family assets.
Impact of Information Asymmetry on the Operation of Green Closed-Loop Supply Chain under Government Regulation
Authors: Xu Jianteng , Wang Peng , Xu Qi
Published: July 2022

Recycling subsidy and carbon tax policies are ways to achieve energy and environmental sustainability. The implementation of these policies has changed the operating environment of traditional closed-loop supply chains, while the privacy of relevant information increases the difficulty of decision-making. Under the background, this paper considers the green closed-loop supply chain (GCLSC) under the hybrid policy of recycling subsidy and carbon tax where the manufacturer is in charge of recycling and the retailer invests in green marketing. Taking green marketing cost coefficient as the retailer’s private information, this paper explores the influence of information asymmetry on optimal decisions and performance of the GCLSC. By constructing game models of information symmetry and asymmetry, the optimal decisions, economic and environmental performance, and social welfare are provided. Combined with numerical analysis, the influence of uncertainty of the manufacturer’s estimation, subsidies and carbon tax on the GCLSC is proposed. The results indicate that the uncertainty in the manufacturer’s estimation can improve the social welfare under certain conditions, but it cannot reduce carbon emissions. Recycling subsidy and carbon tax policies oppositely affect the manufacturer’s optimal decisions and carbon emissions. Information asymmetry is beneficial to the retailer. However, less uncertainty in estimation is not always better for the manufacturer. The manufacturer needs to proactively adopt strategies to stimulate the retailer’s information sharing.
Selection of Open-Pit Mining and Technical System’s Sustainable Development Strategies Based on MCDM
Authors: Rakhmangulov Aleksandr , Burmistrov Konstantin , Osintsev Nikita
Published: July 2022

Mining of the extensive, steeply dipping ore deposit takes several decades. An open-pit mining method is more often used in the early years of such a mining enterprise (ME). The management of the enterprise is faced with the problem of changing the mining method as the depth of the quarry increases. Untimely solution of this issue or the choice of the wrong strategy for the development of ME leads to a decrease in profitability, and the emergence of environmental and social difficulties. We studied the functioning of one hundred and seven MEs from different countries and substantiated four main sustainable development strategies for ME and its main system—the open-pit mining and technical system (MTS): adjustment of the current stage of mining indicators, transition to a new stage of mining, transition to a combined open–underground mining, and mine closure. The result of our research is an original methodology for selecting a strategy for MTS sustainable development. Our methodology is based on a new system of parameters and indicators for evaluating the sustainability of the opening-up of an opencast system (OOS). This assessment system includes twenty-three indicators that characterize the technical, technological, economic, social, and environmental factors of sustainable development. We propose to select a strategy for MTS sustainable development using combined fuzzy AHP-MARCOS multicriteria decision method (MCDM). The result of our case study for the Malyi Kuibas ore deposit was the choice of a mine closure strategy. The reliability of the obtained result is confirmed by a multilateral sensitivity assessment using nine other known MCDMs, while changing the criteria weights and composition of strategies. The results of the study prove the need for a timely decision to change the MTS development strategy as the depth of production increases. In addition, we have shown the effectiveness of the selection methodology based on the multicriteria assessment of the OOS sustainability.
Driving Factors of Heavy Rainfall Causing Flash Floods in the Middle Reaches of the Yellow River: A Case Study in the Wuding River Basin, China
Authors: Zhang Pan , Sun Weiying , Xiao Peiqing , Yao Wenyi , Liu Guobin
Published: July 2022

In the context of climate change, extreme rainfall events have greatly increased the frequency and risk of flash floods in the Yellow River Basin. In this study, the heavy rainfall and flash flood processes were studied as a system. Taking the driving factors of the heavy rainfall causing the flash floods as the main focus, the key factors of the heavy rainfall causing typical flash flood processes were identified, and the driving mechanism by which the heavy rainfall caused flash floods was revealed. Through comparative analysis of the rainfall related to 13 floods with peak discharges of greater than 2000 m3/s since measurements began at Baijiachuan hydrological station, it was found that different rainfall factors played a major driving role in the different flood factors. The factor that had the largest impact on the peak discharge was the average rainfall intensity; the factor that had the largest impact on the flood volume was the rainfall duration; and the factor that had the largest impact on the sediment volume was the maximum 1 h rainfall. The ecological construction of soil and water conservation projects on the Loess Plateau has had obvious peak-cutting and sediment-reducing effects on the flood processes driven by medium- and low-intensity rainfall events, but for high-intensity flash floods, the flood-reducing and sediment-reducing effects of these projects have been smaller. Therefore, despite the background of continuous ecological improvement on the Loess Plateau, the possibility of floods with large sediment loads occurring in the middle reaches of the Yellow River still exists.
Rice Phenology Retrieval Based on Growth Curve Simulation and Multi-Temporal Sentinel-1 Data
Authors: Wang Bo , Liu Yu , Sheng Qinghong , Li Jun , Tao Jiahui , Yan Zhijun
Published: July 2022

The accurate estimation and monitoring of phenology is necessary for modern agricultural industries. For crops with short phenology occurrence times, such as rice, Sentinel-1 can be used to effectively monitor the growth status in different phenology periods within a short time interval. Therefore, this study proposes a method to monitor rice phenology based on growth curve simulation by constructing a polarized growth index (PGI) and obtaining a polarized growth curve. A recursive neural network is used to realize the classification of phenology and use it as prior knowledge of rice phenology to divide and extract the phenological interval and date of rice in 2021. The experimental results show that the average accuracy of neural network phenological interval division reaches 93.5%, and the average error between the extracted and measured phenological date is 3.08 days, which proves the application potential of the method. This study will contribute to the technical development of planning, management and maintenance of renewable energy infrastructure related to phenology.
Assessment of Groundwater Quality and the Main Controls on Its Hydrochemistry in a Changing Climate in Morocco (Essaouira Basin)
Authors: El Mountassir Otman , Bahir Mohammed , Chehbouni Abdelghani , Dhiba Driss , El Jiar Hicham
Published: July 2022

Groundwater is essential for both water supply and environmental conservation, especially in semi-arid and desert areas. Managing groundwater resources requires a thorough understanding of groundwater characteristics and dynamics. The hydrogeochemical properties and evolution of groundwater in the Essaouira synclinal basin in northwest Morocco were studied in this research, with 105 water samples collected in 2009, 2017, 2018, and 2019. The Water Quality Index (WQI) and Irrigation Water Quality Index (IWQI) were developed to determine groundwater quality for consumption and irrigation purposes. The chemical evolution of groundwater is mainly dominated by evaporite, mineral carbonate dissolutions, and cation exchange. Contamination by nitrates is particularly severe in agricultural and tourist areas. The WQI of the 2019 campaign showed that 6.7% of groundwater samples are unsuitable for drinking; 76.7% are poor quality water; and 13.3% are very poor-quality water; while only 3.3% are drinkable. According to IWQI, the total study area has been split into 50% (good), 43.3% (bad), and 6.6% (unfit), respectively, and no excellent groundwater areas have been identified. Therefore, the water is suitable for agriculture but must be treated for drinking. The presence of evaporation and maritime intrusion and the contribution of recent precipitations to aquifer recharging were demonstrated by stable isotope content.
Environmental Benefits and Energy Savings from Gas Radiant Heaters’ Flue-Gas Heat Recovery
Authors: Dudkiewicz Edyta , Fidorów-Kaprawy Natalia , Szałański Paweł
Published: July 2022

This paper demonstrates the need and potential for using waste heat recovery (WHR) systems from infrared gas radiant heaters, which are typical heat sources in large halls, due to the increasing energy-saving requirements for buildings in the EU and the powerful and wide-spread development of the e-commerce market. The types of gas radiant heaters are discussed and the classification of WHR systems from these devices is performed. The article also presents for the first time our innovative solution, not yet available on the market, for the recovery of heat from the exhaust gases of ceramic infrared heaters. The energy analysis for an industrial hall shows that this solution allows for environmental benefits at different levels, depending on the gas infrared heater efficiency, by reducing the amount of fuel and emissions for domestic hot water (DHW) preparation (36.8%, 15.4% and 5.4%, respectively, in the case of low-, standard- and high-efficiency infrared heaters). These reductions, considering both DHW preparation and hall heating, are 16.1%, 7.6% and 3.0%, respectively. The key conclusion is that the innovative solution can spectacularly improve the environmental effect and achieve the highest level of fuel savings in existing buildings that are heated with radiant heaters with the lowest radiant efficiency.
Structural Model Analysis of Factors Affecting Sustainable Teacher Job Satisfaction in Korea: Evidence from TALIS 2018
Authors: Jung Joo-Young , Woo Jeong-Gil
Published: July 2022

This study aims to explore the relationship between the preparedness, self-efficacy, career motivation, and job satisfaction of Korean teachers with the 2018 data of TALIS (Teaching and Learning International Survey). For this purpose, 1266 Korean middle school teachers were selected, and an analysis of mediating effects was executed by utilizing structural equation modeling and phantom variables. The results are as follows: teacher preparedness had a significant and positive effect on teacher self-efficacy and career motivation. However, it failed to show a significant effect on teacher job satisfaction, which was instead significantly and positively affected by teacher self-efficacy and career motivation. In addition, based on the analysis of the estimate of mediating effects, it was discovered that teacher career motivation had a greater positive effect than that teacher self-efficacy on teacher job satisfaction. Taking these results into consideration, this study accordingly makes suggestions concerning the improvement of sustainable teacher job satisfaction, self-efficacy and career motivation inside teacher education courses. Furthermore, this study will propose measures such as further valuing the Teaching Personality and Aptitude Test and strengthening in-depth interviews in student teacher selection, extending teaching experiences through simulated instruction and peer supervision as well as providing well-organized teaching professional counseling opportunities for student teachers.
Impact of Prolonged Exposure to Sour Service on the Mechanical Properties and Corrosion Mechanism of NACE Carbon Steel Material Used in Wet Sour Gas Multiphase Pipeline
Authors: Yadav Manoj , Sliem Mostafa H. , Abdullah Aboubakr M. , Youssef Khaled M. , Al-Qahtani Noora H.
Published: July 2022

The oil and gas industry is involved with severe corrosive/sour environmental conditions due to H2S, CO2, and moisture content. The National Association of Corrosion Engineers (NACE) has developed standards to enable users to select suitable materials for given sour conditions which utilize laboratory testing. A failed piping sample (API-5L-X65) was removed from a pipeline after 15 years of service. Optical microscopy was used to compare the microstructure of the corroded sample near the exposed surface to both the service environment, and further away from it. Moreover, pitted samples were analyzed using a scanning electron microscope coupled with energy dispersive X-ray (SEM/EDS) to understand the deposits’ morphology. Furthermore, XPS analysis proves the presence of a significant content of sulfur compound. Additionally, the mechanical properties of both corroded and non-corroded samples were evaluated and compared. Micro-hardness was carried out on the cross-section of the removed sample to understand any evident hardness variation from the inner diameter (ID) to the outer diameter (OD) of the piping. All the results suggest that prolonged service exposure has resulted in the development of micro defects, resulting in the reduction of strength and impact toughness, and the reduction in the hardness at the exposed surface of the corroded piping. Understanding the corrosion mechanism of pipelines exposed to sour media in the long-term helps in repair/replacement planning and extending the usable design life of the material, and paving the way for the oil and gas industry to develop additional ways to monitor the changes in the critical materials’ properties when exposed to sour service.