bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of Impact Tendency and Sensitivity of Fractured Rock with Different Crack Arrest Measures
Authors: Liu Shiming , Xiao Fukun , Li Tan , Zhang Bo
Published: October 2022

Crack propagation leads to rock instability and failure, which seriously influence the safe and efficient operation of coal mines. According to the characteristics of fracture development and expansion, this paper takes a fractured rock with different crack numbers as the research background and studies the effects of the grouted arrest measure, anchored crack arrest measure, and grouted anchored arrest measure on the mechanical properties, energy evolution, crack expansion, and progressive instability of the fractured rock. The sensitivity of different crack arrest measures to the peak strength, elastic modulus, total crack number, and impact tendency of the fractured rock are analyzed based on the sensitive percentage. The experimental results show that the more cracks in the rock, the greater the increase of peak stress of grouted rock and grouted anchored rock, and the smaller the increase of peak stress of anchored fractured rock. With the increase of the crack number, the total crack number in anchored fractured rock specimens gradually decrease, the total crack number in grouted rocks, and grouted anchored rock specimens gradually increase. The anchored fractured rock with more cracks produces a lower total crack number when it is destroyed. The grouted rock and grouted anchored rock with more cracks produce a higher total crack number when it is destroyed. The pre-peak energy of anchored single-fractured rock is larger, the pre-peak energy of grouting multi-fractured rock is larger, and the grouted rock has a strong impact tendency. The grouted arrest measure is an important sensitive parameter to the impact energy index; the anchored crack arrest measure is the primary sensitive parameter to the peak stress, elastic modulus, and total crack number; and the grouted anchored arrest measure is an important sensitive parameter to the elastic modulus. The research results of this paper provide some guidance on the selection of crack arrest parameters and scheme design in practical rock engineering.
Factors Affecting Perceived Effectiveness of Multigenerational Management Leadership and Metacognition among Service Industry Companies
Authors: Kurata Yoshiki B. , Ong Ardvin Kester S. , Andrada Christienne Joie C. , Manalo Mariela Nicole S. , Sunga Errol John Aldrie U. , Uy Alvin Racks Martin A.
Published: October 2022

Workforce management has always been an essential consideration by businesses worldwide to improve organizational efficiency. The measurement of diversified labor present in modern Philippine companies has never been viable as generational and cultural differences shape and influences one’s leadership behavior, decision-making, and style. Employee motivation, multigenerational cohort, interpersonal skills, work values, and organizational culture significantly affect company leaders’ perceived effectiveness, resulting in varying management styles and approaches applicable to service companies. This study aimed to determine significant variables affecting the perceived leadership effectiveness and metacognition between multigenerational management clusters among service companies integrating behavioral theories such as Generational Cohort Theory (GCT) and Theory of Planned Behavior (TPB). Through self-administered questionnaires, data was utilized for multivariate analysis through structural equation modeling using the SPSS statistical software and SPSS AMOS 29 software and random forest classifier utilizing Python 5.1. Results showed that Motivation, Managerial Cohort, Organizational Culture, and Work values have a high-level relationship with Perceived Behavioral Control, Attitude Towards Behavior, and Social Norms. The results presented could be utilized in evaluating the management sector in service industries to provide and develop an optimum approach to leadership management. Managerial insights and suggestions are shown in the study.
Designing Component Interfaces for the Circular Economy—A Case Study for Product-As-A-Service Business Models in the Automotive Industry
Authors: Krummeck Philip , Dokur Yagmur Damla , Braun Daniel , Kiemel Steffen , Miehe Robert
Published: October 2022

The resource-intensive automotive industry offers great potential to avoid waste through new circular business models. However, these new business models require technical innovations that enable the rapid dismantling of add-on parts. In this paper, we design new mechanical interfaces that enable fast and non-destructive dismantling while still fulfilling all technical requirements and develop a general model for the evaluation of disassembly capability. For this purpose, the current dismantling options of add-on parts are first examined and evaluated concerning defined KPIs using the example of the front bumper. Based on the analysis, the requirements as well as various solution principles for the new interface concept can be derived. The necessity of removing neighboring components is identified as the main challenge for rapid dismantling. Two different concepts for the interfaces were developed by inserting an intermediate level as a connecting part between the front bumper and the front module. We prove that by redesigning and reconstructing the interfaces the number of process steps required to remove the front bumper could be reduced by roughly 60% compared to current interface solutions. The developed methodology should be applied to other components of a vehicle to create a greater positive environmental, economic and societal impact.
The Nutrient Composition of Three Mosquito (Diptera: Culicidae) Species, Aedes caspius, Anopheles hyrcanus, and Culex pipiens, Harvested from Rice Fields for Their Potential Utilization as Poultry Feed Ingredients
Authors: Christaki Androniki , Zinoviadou Kyriaki G. , Papoti Vassiliki T. , Miaoulis Michael , Chaskopoulou Alexandra
Published: October 2022

Increasing pressure on the world’s livestock production sector has stirred interest towards the exploration of insects as an alternative feed source. We examined the potential of wild-caught mosquitoes, harvested from rice-fields, to be utilised as poultry feed. Three mosquito species were identified in high abundance, namely Aedes caspius, Anopheles hyrcanus, and Culex pipiens, and their nutritional and microbiological profile was assessed at the species-level and as mixed samples collected from two different seasons (summer 2020 and 2021). Their nutritional potential was evaluated based on protein, fat, moisture and ash content, fatty acid and mineral profile, and antioxidant activity. The microbiological profile of each mosquito species was assessed by measuring the population of total viable count, Enterobacteriaceae, lactic acid bacteria, and coagulase-positive Staphylococci. Obtained values were compared to common edible insects and conventional livestock feedstuff. All mosquito samples presented an overall promising nutritional composition, stable between the two harvest seasons. Mosquitoes’ protein and fat content ranged from 54 to 62% and 16 to 28%, respectively. The examined species presented statistically significant differences in certain cases; Anopheles hyrcanus had the highest protein content (61.8% dry weight basis; dwb) and the highest antioxidant potential (45.9% ability to scavenge the DPPH radical). All mosquito samples were rich in minerals, containing high concentrations of calcium, phosphorus, and magnesium, minerals essential for poultry development. The GC/MS fatty acid profile revealed a high unsaturated character (65.2–71.5%), a predominance of palmitic (23.8–30.4%), palmitoleic (28.5–37.0%), and oleic (18.3–29.1%) acids, as well as the presence of essential linolenic (1.4–5.2%) and eicosipentanoic (1.5–2.4%) acids. The presence of microorganisms was confirmed across all species, at levels comparable to fresh food harvested from soil and farmed edible insects. Mosquitoes harvested from rice-fields exhibited an overall highly nutritious, stable profile, comparable and even superior to common feedstuff and edible insects, showing potential to be utilised as poultry feed components.
Electric Vehicle-to-Grid (V2G) Technologies: Impact on the Power Grid and Battery
Authors: Mojumder Md. Rayid Hasan , Ahmed Antara Fahmida , Hasanuzzaman Md. , Alamri Basem , Alsharef Mohammad
Published: October 2022

The gradual shift towards cleaner and green energy sources requires the application of electric vehicles (EVs) as the mainstream transportation platform. The application of vehicle-to-grid (V2G) shows promise in optimizing the power demand, shaping the load variation, and increasing the sustainability of smart grids. However, no comprehensive paper has been compiled regarding the of operation of V2G and types, current ratings and types of EV in sells market, policies relevant to V2G and business model, and the implementation difficulties and current procedures used to cope with problems. This work better represents the current challenges and prospects in V2G implementation worldwide and highlights the research gap across the V2G domain. The research starts with the opportunities of V2G and required policies and business models adopted in recent years, followed by an overview of the V2G technology; then, the challenges associated with V2G on the power grid and vehicle batteries; and finally, their possible solutions. This investigation highlighted a few significant challenges, which involve a lack of a concrete V2G business model, lack of stakeholders and government incentives, the excessive burden on EV batteries during V2G, the deficiency of proper bidirectional battery charger units and standards and test beds, the injection of harmonics voltage and current to the power grid, and the possibility of uneconomical and unscheduled V2G practices. Recent research and international agency reports are revised to provide possible solutions to these bottlenecks and, in places, the requirements for additional research. The promise of V2G could be colossal, but the scheme first requires tremendous collaboration, funding, and technology maturation.
The Effects of Agricultural Product Exports on Environmental Quality
Authors: Saghaian Sayed , Mohammadi Hosein , Mohammadi Morteza
Published: October 2022

Concerns about the environmental degradation of agricultural activities have increased with trade openness and globalization. In this study, the effects of agricultural product exports on environmental quality are investigated using panel data and instrumental variable regression models for 23 developed and 43 developing countries during 2002–2020. The results indicate that the expansion of agricultural product exports from developing countries has a detrimental effect on the environmental quality of these countries. Total agricultural exports increase pollution due to greenhouse gas emissions in developing countries, while they decrease the N2O emissions in developed countries. Moreover, raw agricultural exports have a positive and significant effect on agricultural pollution emissions in developing countries, while they have a negative and significant effect on N2O emissions in developed countries. In many developing countries, export development is an important policy objective, and agricultural exports are among the most important export sectors. Hence, policymakers need to consider the effects of agricultural product exports on the environment and increase farmers’ awareness about the environmental consequences of agricultural activities. A better understanding of the environmental impacts of agricultural exports from developing countries is highly recommended.
Microstructure and Tensile Strength of an Al-Si-Fe-V Alloy: Vanadium and Solidification Thermal Parameters as Recycling Strategies
Authors: Silva Cássio , Barros André , Rodrigues Adilson Vitor , Kakitani Rafael , Soares Thiago , Garcia Amauri , Cheung Noé
Published: October 2022

One of the greatest challenges facing the recycling of Al-based alloys is handling Fe incorporation. The formation of Fe-rich phases has negative impacts on the mechanical behavior and may limit the usage of recycled alloys. In this context, V addition is regarded as a potential solution since it can inhibit the formation of such phases. However, the microstructure evolution of V-modified Al-based alloys is not fully understood, especially when different solidification cooling regimes are considered. Thus, this work investigates the microstructure and tensile properties of an Al-7Si-1Fe [wt.%] alloy modified with a 0.5 wt.%V addition. Directionally solidified samples were produced and subjected to microstructure analysis and tensile tests. It was found that the addition of V reduces the fraction of β-AlFeSi particles because of the formation of new V-rich phases. This was determinant to improve the tensile properties for faster cooling conditions during solidification. For moderate and slow cooling regimes, however, the V-containing alloy had a less favorable mechanical behavior due to the formation of larger β-AlFeSi particles. Finally, quantitative relationships are proposed for the prediction of tensile properties from microstructural parameters using multiple linear regression analysis.
Identifying and Assessing the Critical Criteria for Material Selection in Storm Drainage Networks: A Stationary Analysis Approach
Authors: Kineber Ahmed Farouk , Mohandes Saeed Reza , Hamed Mohammed Magdy , Singh Atul Kumar , Elayoty Soha
Published: October 2022

Recent years have seen a rise in the frequency and severity of extreme rainstorm events, which have caused widespread damage and death in numerous cities. The manufacture and use of storm drainage materials result in numerous environmental concerns in the construction industry. Green materials for storm drainage networks are environmentally friendly compared to their traditional counterparts. Identifying and assessing sustainability criteria for green materials for storm drain networks has been challenging. This study aims to determine the critical criteria for selecting green materials for storm drainage networks using a stationary analysis approach. To this end, a questionnaire survey was administered to Egyptian storm engineers to assess their importance based on a selection criteria 29 green materials. From the results obtained, “Operation and maintenance cost” and “Use of local material” were seen to be the “stationary materials”. The obtained findings in this research pave the way for the Egyptian storm industry towards becoming environmentally friendly, which will in turn improve the functioning mechanism of sewer networks.
Exploitation of Machine Learning Algorithms for Detecting Financial Crimes Based on Customers’ Behavior
Authors: Kumar Sanjay , Ahmed Rafeeq , Bharany Salil , Shuaib Mohammed , Ahmad Tauseef , Tag Eldin Elsayed , Rehman Ateeq Ur , Shafiq Muhammad
Published: October 2022

Longer-term projections indicate that today’s developing and rising nations will account for roughly 60% of the global GDP by 2030. There is tremendous financial growth and advancement in developing countries, resulting in a high demand for personal loans from citizens. Depending on their needs, many people seek personal loans from banks. However, it is difficult for banks to predict which consumers will pay their bills and which will not since the number of bank frauds in many countries, notably India, is growing. According to the Reserve Bank of India, the Indian banking industry uncovered INR 71,500 in the scam in the fiscal year 2018–2019. The average lag time between the date of the occurrence and its recognition by banks, according to the statistics, was 22 months. This is despite harsher warnings from both the RBI and the government, particularly in the aftermath of the Nirav Modi debacle. To overcome this issue, we demonstrated how to create a predictive loan model that identifies problematic candidates who are considerably more likely to pay the money back. In step-by-step methods, we illustrated how to handle raw data, remove unneeded portions, choose appropriate features, gather exploratory statistics, and finally how to construct a model. In this work, we created supervised learning models such as decision tree (DT), random forest (RF), and k-nearest neighbor (KNN). According to the classification report, the models with the highest accuracy score, f-score, precision, and recall are considered the best among all models. However, in this work, our primary aim was to reduce the false-positive parameter in the classification models’ confusion matrix to reduce the banks’ non-performing assets (NPA), which is helpful to the banking sector. The data were graphed to help bankers better understand the customer’s behavior. Thus, using the same method, client loyalty may also be anticipated.
Techno-Economic Analysis of an Energy Community Based on PV and Electric Storage Systems in a Small Mountain Locality of South Italy: A Case Study
Authors: Cirone Daniela , Bruno Roberto , Bevilacqua Piero , Perrella Stefania , Arcuri Natale
Published: October 2022

The ecological transition at the centre of the United Nations 2030 Agenda and the relevant EU policies are increasingly becoming an emerging issue in the political choices of most countries. It is an important challenge to ensure sustainable development and overcome the issue of energy supply. Italy produces 35% of its electricity consumption, a too low percentage that obligates the nation to purchase abroad to cover the overall needs. Energy communities can represent an interesting and viable option for businesses and citizens struggling with the abrupt rising of energy prices. In community energy systems, the energy demand of a group of households or public services is met by electricity collectively generated through renewable sources and this feature is particularly suggested in small towns to promote social benefits and environmental advantages. In this work, possible scenarios of an implementable energy community were investigated for the small mountain municipality of Soveria Mannelli, located in Southern Italy. A building stock made of four public edifices was used as a reference case for which heating needs were determined by dynamic simulations based on the EN ISO 52016-1 procedure. Other simulations carried out in the TRNSYS environment allowed for implementing different schemes of the energy community considering diverse building interaction modes, in which photovoltaic generators and electric batteries cooperate to supply heat pump systems to assure the maximum share of self-consumed electric energy. Indeed, this paper is targeted at the identification of the best solution in terms of technical and economic performance. Despite an evident study limitation is represented by the exclusive use of PV and electric storage systems, the results demonstrate a potential CO2 emission reduction of over 80%. The more profitable solution for the Municipality was identified with an NPV of 11 k€ in 20 years with appreciable payback.
Media and Institutional Investors Focus on the Impact on Corporate Sustainability Performance
Authors: Liu Chuanzhe , Wang Xu
Published: October 2022

This paper takes China’s A—share listed companies from 2010 to 2020 as a sample to study the impact of media attention, institutional investor attention, and their interaction on the sustainable development performance of enterprises as well as the regulatory role of internal control levels. The research shows that the attention of the media and institutional investors has a significant improvement effect on the sustainable development performance of enterprises; there is a significant substitution when they play a role at the same time. This substitution effect is significantly affected by the level of the internal control of enterprises, that is, with the improvement in the level of the internal control of enterprises, the substitution effect between the two will be weakened, and ultimately positively affect the level of the sustainable development of enterprises, which provides an effective policy basis for the sustainable development of listed enterprises and the use of external supervision by the government to supervise listed enterprises.
Young Consumers’ Perceptions of Family Firms and Their Purchase Intentions—The Polish Experience
Authors: Bitkowska Agnieszka , Moczydłowska Joanna , Leszczewska Krystyna , Karasiewicz Karol , Sadkowska Joanna , Żelazko Beata
Published: October 2022

Although family-owned businesses have been widely investigated, the question of consumers’ perceptions of family firms is still worth more in-depth study. Drawing on the theories of family businesses and consumer behavior, this paper investigates the relationship between the consumers’ perceptions of family-owned enterprises and their purchasing decisions. Using a questionnaire, we surveyed 1069 young Polish consumers. Our findings demonstrate that young consumers’ convictions about family businesses are well-formed, despite their quite modest knowledge of these business entities. The vast majority of the survey participants were not able to provide any family business names. This implies that young consumers’ views on family businesses result from speculation or adoption of opinions that are dominant in a given society. To raise the level of awareness of their brands and transform consumers’ intentions into real purchasing behavior, family business entities need to intensify the educational significance of their promotional activities to help counteract the stereotypes about family businesses. The analysis presented here has important implications for current debates on whether the development of emotional relationships with family business entities and their brands is a suitable strategy to shape the purchasing attitudes towards the products made by family companies. The research findings could also form the basis for an extended study exploring what strategies family companies can implement in order to effectively shape young consumers’ perceptions about these firms. The research results can also serve as an aid for family firm owners and managers in rebuilding their client-oriented activities. The aforementioned knowledge can support family firm owners and managers in establishing effective marketing strategies. It also opens interesting avenues for further research.
Developing an Extended Virtual Blade Model for Efficient Numerical Modeling of Wind and Tidal Farms
Authors: Radfar Soheil , Kianoush Bijan , Majidi Nezhad Meysam , Neshat Mehdi
Published: October 2022

Harnessing renewable and clean energy resources from winds and tides are promising technologies to alter the high level of consumption of traditional energy resources because of their great global potential. In this regard, developing farms with multiple energy converters is of great interest due to the skyrocketing demand for sustainable energy resources. However, the numerical simulation of these farms during the planning phase might pose challenges, the most significant of which is the computational cost. One of the most well-known approaches to resolve this concern is to use the virtual blade model (VBM). VBM is the implementation of the blade element model (BEM). This was done by coupling the blade element momentum theory equations to simulate rotor operation with the Reynolds averaged Navier–Stokes (RANS) equation to simulate rotor wake and the turbulent flow field around it. The exclusion of the actual geometry of blades enables a lower computational cost. Additionally, due to simplifications in the meshing procedure, VBM is easier to set up than the models that consider the actual geometry of blades. One of the main unaddressed limitations of the VBM code is the constraint of modeling up to 10 renewable energy converters within one computational domain. This paper provides a detailed and well-documented general methodology to develop a virtual blade model for the simulation of 10-plus converters within one computational domain to remove the limitation of this widely used and robust code. The extended code is validated for both the single- and multi-converter scenarios. It is strongly believed that the technical contribution of this paper, combined with the current advancement of available computational resources and hardware, can open the gates to simulate farms with any desired number of wind or tidal energy converters, and, accordingly, secure the sustainability and feasibility of clean energies.
Factors Determining the COVID-19 Vaccinated Tourists’ Intention to Repeat Behaviour: An Empirical Perspective for a New Normal
Authors: Kundan Zheng , Hossain Md Sazzad , Khalifa Gamal Sayed Ahmed
Published: October 2022

This present study examines the factors influencing COVID-19-vaccinated tourists’ intention to repeat behaviour (IRB) in Chinese tourism destinations. Employing purposive sampling, 500 questionnaires were distributed to tourists, and 409 were analysed. The PLS-SEM findings revealed that novelty seeking, diverse attractions, and destination familiarity positively and significantly affect eco-friendly destinations. Furthermore, the place attachment pointedly moderates toward IRB. The eco-friendly destinations and tourist satisfaction have positive and significant effects on IRB. This present study added significant value for the tourism destination to formulate COVID-19 vaccinated tourists on their visitation and may provide an initial blueprint for further investigation.
Developing the Emotional Intelligence of Millennial Students: A Teaching Strategy
Authors: Ghita-Pirnuta Oana-Andreea , Cismaru Laura
Published: October 2022

The contemporary world is facing a real crisis due to the depletion of basic resources, consumerism and the unprecedented proliferation of physical and mental diseases that are caused by unhealthy nutrition and eating habits. The training of future specialists in the food industry with a high level of emotional intelligence, responsible both for themselves and for others, can be a useful strategy for getting out of the crisis. This was the general objective of the present research, whose statistical hypotheses aimed at increasing the level of empathy of students enrolled in two academic programs of study in the food industry by introducing four consumer psychology modules targeting emotional awareness and moral identity. The applied experimental treatment consisted of the students going through the activities of the four modules, with each module having a triarchic structure: teaching–self-testing–reflective writing. The design used was quasi-experimental, with a single group taking a pretest–posttest measurement. The results obtained support previous research efforts that had the same objective—to contribute to increasing millennial students’ levels of empathy and awareness of their own emotions. Additionally, using the pedagogical techniques of self-testing and reflective writing proved useful in achieving the set objective.
IoMT-Based Automated Diagnosis of Autoimmune Diseases Using MultiStage Classification Scheme for Sustainable Smart Cities
Authors: Shivanna Divya Biligere , Stephan Thompson , Al-Turjman Fadi , Kolhar Manjur , Alturjman Sinem
Published: October 2022

The resolution of complex medical diagnoses using pattern recognition requires an artificial neural network-based expert system to automate autoimmune disease diagnosis in blood samples. This process is done using image-based computer-aided diagnosis (CAD) to reduce errors in the diagnosis process. This paper describes a Multistage Classification Scheme (MSCS), which uses antinuclear antibody (ANA) tests to identify and classify the existence of autoantibodies in the blood serum that bind to antigens found in the nuclei of mammalian cells. The MSCS classified HEp-2 cells into three stages by using Binary Tree (BT), Artificial Neural Network (ANN), and Support Vector Machine (SVM) as basic blocks. The Indirect Immunofluorescence (IIF) technique is used in the ANA test with Human Epithelial type-2 (HEp-2) cells as substrates. The efficiency of the proposed methodology is assessed using the dataset of ICPR 2016. The intermediate cells (IMC) and positive cells (PC) were separated in Stage 1 prior to preprocessing based on their total strength, and special preprocessing is applied to intermediate cells for improved output, and positive cells are subjected to mild preprocessing. The mean class accuracy (MCA) was 84.9% for intermediate cells and 95.8% for positive cells, although the carefully picked 24 features and SVM classifier were applied. ANN showed better performance by adjusting the weights using the SCGBP algorithm. So, the MCA is 88.4% and 97.1% for intermediate and positive cells, respectively. BT had an MCA of 95.3% for intermediate and 98.6% for positive. In Stage 2, the meta learners BT2, ANN2, and SVM2 were trained for an augmented feature set (24 + 3 results from base learners). Therefore, the performance of BT2, ANN2, and SV M2 was increased by 1.8%, 4.5%, and 4.1% as compared to Stage 1. In Stage 3, the final prediction was performed by majority voting among the results of the three meta learners to achieve 99.1% MCA. The proposed algorithm can be embedded into a CAD framework built for the ANA examination. The proposed model will improve operational efficiency, decrease medical expenses, expand accessibility to healthcare, and improve patient safety in the sector, enabling enterprises to lower unplanned downtime, develop new products or services, increase operational effectiveness, and enhance risk management.
Detection of Location from Kits Set Up by Vulnerable People during Earthquake Disasters with Communication Blackout: Study Using YOLOv5 Algorithm
Authors: Morisaki Yuma , Fujiu Makoto , Suwa Taiki , Furuta Ryoichi , Takayama Junichi
Published: October 2022

When an earthquake occurs, the larger the scale of the disaster, the harder it is to support the victims’ needs. In fact, even the most meager support for victims has become quite difficult. Furthermore, it is also known that the greater the damage, the more difficult it becomes to use cell phones, applications, etc. The authors have developed multiple reflectors observable by synthetic-aperture radar (SAR) satellites and differing backscattering coefficients. Using them, we have proposed a method for ascertaining the location and needs of victims during a large-scale earthquake disaster. In this study, we developed an object detection model using YOLOv5 to detect the reflectors from within SAR images. In addition, we constructed a method for managing setup locations in GIS by conferring latitude and longitude information on reflectors obtained through YOLO v5. Through analysis, a model of the proposed reflector detection and identification of setup locations via GIS was developed in this study.
Assessing the Health and Environmental Benefits of a New Zealand Diet Optimised for Health and Climate Protection
Authors: Cleghorn Christine , Nghiem Nhung , Ni Mhurchu Cliona
Published: October 2022

Population diets have impacts on both human and planetary health. This research aims to optimise a New Zealand (NZ) version of the EAT-Lancet diet and to model the impact of this diet on population health if it was adopted in NZ. The optimisation methods used mathematical equations in Excel to ensure: population diets met the nutritional recommendations; diet-related greenhouse gas (GHG) emissions did not exceed the NZ GHG boundary; and diet costs did not exceed baseline costs of the average diet. The EAT-Lancet diet was also directly mapped onto the NZ adult nutrition survey food groups, as another estimate of a NZ EAT-Lancet diet. Both diets were modelled using a DIET multi-state life-table model to estimate lifetime impacts on quality adjusted life years (QALYs), ethnic health inequities and health system costs. The optimised diet differed greatly from baseline intake with large amounts of fruits and vegetables, some fish but no beef, lamb, pork or poultry. Modelling nationwide adoption of the NZ EAT-Lancet diets generated large health savings (approximately 1.4 million QALYs), and health system cost savings (around NZD 20 billion). A healthy, climate-friendly, cost-neutral diet is possible for NZ and, if adopted, could provide large health gain, cost savings and reductions in ethnic health inequities.
Investigation of Impact on Hydro-Mechanical Properties for Cement Stabilized Heavy Metal Contaminated Soil under Different Salinity
Authors: Nong Xingzhong , Liang Yuehua , Lin Shan , Lu Yi , Shang Zhi
Published: October 2022

The purpose of this study is to investigate the hydro-mechanical properties of heavy metal (Cu, Zn) contaminated soil stabilized using cement treatment situated under different salinity. Conventional oedometers with cylindrical samples dimensioned ⌀61.8 × 20 mm were used to conduct the tests. Two cement contents (10%, 20% by mass of cement to the mass of dry soil) and three salinity levels (0.5M, 1M, 1.5M) were used as comparison variables. The compression results demonstrate that the coupled condition in terms of mechanical and chemical will have different behavior on the soil specimen, as Cc (compression index) changes with different metal fractions. The hydraulic conductivity (k) results show that a higher metal fraction will compromise the k. The possible development of water and metal ions is proposed that when a different type and fraction of metal ions are present, the hydration reaction can be suppressed depending on whether the metal ion prioritizes the reaction with either cement or saline solution. It was found that Cu ions prioritize their reaction to a saline solution while Zn ions target the Ca(OH)2 that is available from cement. However, more studies should be carried out to confirm this point.
How Risk Prevention Mechanisms Regulate Serial Entrepreneurs to Achieve Sustainable Entrepreneurship—A Policy Text Analysis
Authors: Zhou Chen , Peng Huatao , Li Bingbing
Published: October 2022

With the advent of the “Industry 4.0” era, the outbreak of the new epidemic, and the frequent occurrence of economic crises, sustainable entrepreneurship has led to the entrepreneurial ambition of serial entrepreneurs. Although a large number of supportive policies have been recently enacted by administrations at all levels to promote sustainable entrepreneurship among serial entrepreneurs, there is a lack of policy evaluation. In addition, although academics recognize the importance of policy regulation in leading sustainable entrepreneurship, in-depth research on the entrepreneurship policy system is still lacking. Based on this, this paper applied the “policy instrument–policy target” analysis framework and selected Chinese policy texts that support the sustainable entrepreneurship of serial entrepreneurs for textual content analysis. The results of this paper suggest that the synergy of various policy instruments and the appropriateness of the policy instrument–target fit need to be improved. The findings of this paper can provide a theoretical basis and practical implications for governmental entities to guide serial entrepreneurs to prevent social, economic, and environmental risks and achieve sustainable entrepreneurship goals.
A Critical Reflection on Online Teaching for Sustainability
Authors: McKeown Rosalyn , Down Lorna
Published: October 2022

By practicing the scholarship of teaching the authors examine their own practices in teaching online applied to in-service teacher education and education for sustainable development as part of ongoing quality improvement effort and annual course revision. This study focuses on “Planetary Perspectives: Toward a Culture of Peace, Sustainability, and Well-Being” which is the first in a four-course Online Certificate in Education for Sustainable Development organized by the Earth Charter Education Center and the University for Peace. The course explores principles of sustainability and the seventeen Sustainable Development Goals and then goes deeper into the environmental, social, and economic spheres of sustainability. The course emphasizes pedagogical practices, such as systems thinking and developing a sustainability worldview. The course also invites students to be involved in their communities, talking to neighbors and colleagues about sustainability issues like climate change and poverty. This community focus is important to ground participants in the communities where they live and work and make progress toward achieving the Sustainable Development Goals. Working in the local community can be transformative to both students and communities.
How to Improve Employee Psychological Well-Being? CSR as a Sustainable Way
Authors: Ma Chen , Latif Yasir
Published: October 2022

The purpose of this study is to examine how internal CSR and external CSR affect employee psychological well-being. The results of a longitudinal study using data collected from 543 employees at two points in time suggest that self-regulatory resources positively mediate the relationship between internal CSR and employee psychological well-being. In addition, using a configuration approach, this study finds that the mediating effect of self-regulatory resources on the relationship between external CSR and employee psychological well-being is not universal but rather can be moderated by employee attitudes toward business ethics. Specifically, this study finds that self-regulatory resources positively mediate the relationship between external CSR and employee psychological well-being for those with high levels of business ethics attitudes, and vice versa. To the best of our knowledge, this study is the first to systematically propose and examine how self-regulatory resources mediate the relationship between CSR and employee psychological well-being, and how employee attitudes toward business ethics moderate this relationship, and should serve as a catalyst to future studies.
The Determinants of Purchase Intention on Agricultural Products via Public-Interest Live Streaming for Farmers during COVID-19 Pandemic
Authors: Yu Zhiyuan , Zhang Kun
Published: October 2022

In order to sell unmarketable products and alleviate farmers’ economic difficulties caused by the COVID-19 pandemic, public-interest livestreaming for farmers with the property of altruism has been emerging as a new way of mobile commerce and has attracted a huge amount of attention among Chinese consumers. In this paper, based on the theory of reasoned action, we intend to explore the influencing factors from the levels of the platform, product, and consumer that affect consumers’ attitudes and purchase intentions towards agricultural products via public-interest livestreaming. We have collected 475 valid responses from Chinese consumers (especially from youth) who experienced the public-interest livestreaming for farmers and then constructed a structural equation model using the partial least-squares method. The results show that consumers’ attitudes towards agricultural products have a significant positive impact on their purchase intentions with respect to livestreaming. Perceived interactivity, perceived endorsement, product familiarity, subjective norms, altruistic value, and the livestream shopping experience all significantly positively affected consumers’ attitudes toward the agricultural products in the mobile livestreaming. Moreover, subjective norms can also directly impact consumers’ purchase intentions. We can see that the proposed influencing factors from the platform, product, and consumer levels provide a better explanation of the attitudes and purchase intentions, respectively. This paper aims to expand the empirical research on the purchase intentions of agricultural products and then to provide insights into the phenomenon of public-interest livestreaming during COVID-19, which can assist farmers in addressing the dilemma caused by the epidemic and promote rural economic development by mobile commerce. Additionally, the insights from this case study in China can also be extended to other countries where farmers have suffered from the impact of COVID-19.
Association of Illegal Motorcyclist Behaviors and Injury Severity in Urban Motorcycle Crashes
Authors: Li Zhixue , Huang Zhongxiang , Wang Jie
Published: October 2022

Motorcycle crashes have been a significant cause of death and serious injury in urban regions, which has a negative effect on the development of sustainable urban transportation. In this study, two logit models, one model for illegal motorcyclist behaviors and the other for crash injury severity, are developed using urban motorcycle crashes in Hunan Province, China. The two developed models could allow us to simultaneously identify significant factors related to specific illegal behaviors and the severity level of crashes. The results show that illegal motorcyclist behaviors, including unlicensed riding, drunk riding, and improper overtaking/lane changes, are more likely to cause serious injuries or death. Young motorcyclists are associated with a higher likelihood of illegal behaviors, while old motorcyclists are associated with a higher likelihood of serious injuries or death. Night conditions without street lights are significantly associated with a higher probability of illegal motorcyclist behaviors as well as higher injury severity. Crashes caused by drunk riding have the highest likelihood of fatal/severe injury. Based on these findings, efficient interventions are recommended to curb illegal motorcyclist behaviors and alleviate crash injury severity.
Reconciling Conflict of Interest in the Management of Forest Restoration Ecosystem: A Strategy to Incorporate Different Interests of Stakeholders in the Utilization of the Harapan Rainforest, Jambi, Indonesia
Authors: Rahmani Tabah Arif , Nurrochmat Dodik Ridho , Park Mi Sun , Boer Rizaldi , Ekayani Meti , Satria Arif
Published: October 2022

The Harapan Rainforest is the only remaining lowland rainforest in Sumatera Island, Indonesia, that the Ministry of Forestry has designated for restoring lowland rainforest ecosystems. In the Harapan Rainforest, several stakeholders are interested in using the forest for several things. For example, the local community uses the forestland for their oil palm plantation, while PT Restorasi Ekosistem Indonesia (PT REKI) as forest manager, uses the forest for ecosystem restoration goals, causing a conflict of interest. This study aims to identify the stakeholders involved and provide a policy recommendation for the contestation in the Harapan Rainforest. We conducted key-person interviews to identify the stakeholders involved and analyze the interest and influence of all important stakeholders related to the utilization of the the Harapan Rainforest. The stakeholder analysis method analyzes and categorizes stakeholders’ interests and influences in the Harapan Rainforest utilization. According to the study, three of the eight stakeholders have a direct role in the Harapan Rainforest’s utilization. The last section of this paper ends by giving an alternative strategy for considering policy options and a win-win solution that prioritizes all stakeholders’ interests. This study concludes that the utilization of the Harapan Rainforest should be conducted with multiple-use forest management for production and rehabilitation.
The Evaluation and Key-Factor Identification of the Influence of Tourism on the Soil of Mount Tai
Authors: Li Fang , Wang Kailai , Li Xin , Zhang Haodong , Li Ying
Published: October 2022

Tourism has been proven to disturb the soil environments and stimulate heavy metal accumulation in scenic areas. Currently, research on the driving mechanisms of the impact of tourism on soil quality degradation is limited. Therefore, the aim of this study was to introduce a complex network method to comprehensively depict the impact of tourism on soil quality. To explore the key influencing factors, we collected 10 topsoil samples and 10 corresponding control samples from representative scenic areas in Mount Tai. Soil physicochemical properties (organic matter (OM), alkali dispelled nitrogen (AN), total nitrogen (TN), available phosphorus (AP), available potassium (AK), electrical conductivity (EC)), heavy metal (Cr, Cd, Pb, Hg, As, Cu) content, and microbial community diversity (by Eco-plate method) were analyzed. Additionally, complex networks of soil quality variables were established based on Pearson correlation coefficients. The results show that the OM, AN, and AP contents of scenic areas are 1.2, 1.03 and 1.18 times higher, while the AK content is 0.97 times lower, than those of the control sites, respectively (mean values of samples from scenic area vs. contorl sites). The single factor index of Hg, As, Pb, Cd, Cu, and Cr are increased from 3.65, 0.53, 0.85, 1.25, 0.78 and 0.58 to 3.69, 0.57, 1.24, 1.75, 0.97, 0.63 and 3.19, respectively, which means that tourism significantly exacerbates soil heavy metal accumulation. Additionally, the soil microbial activity and diversity are slightly reduced due to tourism. In general, the difference in the mean value of each soil quality variable between the scenic spot and the control site is not significant. However, tourism significantly reduced the connectivity and integrity of soil quality variables, which ultimately destabilized the soil, inferred from the comparison of the network’s topological parameters. Therefore, raising the content of soil OM and AN and controlling Cd pollution should be given more priority in soil ecosystem protection to counteract the negative impact of tourism on Mount Tai. It was the major limitation of the study that few typical scenic spots were selected as sampling points on Mount Tai. However, this study is sufficient to show that the complex network approach can be extended to other similar studies of soil quality degradation driving mechanisms.
Recovery and Germination of Malus sieversii (Ledeb.) M. Roem. (Rosaceae) Seeds after Ingestion by Cattle, Horses, and Sheep
Authors: Xu Jiang , Zhang Zongfang , Bai Shilin , Lv Yaya , Shi Xiaojun , Tan Dunyan
Published: October 2022

Livestock can transport seeds long distances by endozoochory due to their large home range and capacity to move among different habitats. However, differences in digestive system and body size between different livestock species may result in variations in the dispersal of domestic livestock. To test such effects, we explore the effects of endozoochorous seed dispersal of Malus sieversii by three livestock: cattle, horse, and sheep in the Ili Botany Garden, northwest of China. We collected seeds of M. sieversii and fed them to cattle, horses and sheep. After feeding, we collected all the seeds from their feces every 24 h for 6 days and determined the seed recovery percent, mean retention time, and germination percent of seeds after the effects of the digestive tracts of those three livestock species. Seed recovery percent in three livestock species feces were cattle (CS) (54.05%) > horse (HS) (4.83%) > sheep (SS) (0.45%). The mean retention time of seeds in the digestive tract of cattle, horses and sheep were 53 h, 57 h, and 45 h. The seed weight and seed coat thickness decreased significantly after the treatment of the digestive tract. After 80 days cold stratification of seeds, the germination percent of CK, CS, and HS were 61%, 69%, and 18%, respectively. The results indicated cattle is an effective seed disperser of M. sieversii, with a recovery and germination percent in endozoochorous seed dispersal by cattle than that of horse and sheep. Our findings may also provide a theoretical basis about regarding seed-centric grazing management decisions and keeping horse and sheep out of pastures during the fruit of M. sieversii shedding period.