bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of High-Precision NO2 Gas Sensor Based on Non-Dispersive Infrared Technology
Authors: Zhao Yongmin , Zhang Congchun , Ci Guangteng , Zhao Xiaoguang , Lv Jinguang , Liang Jingqiu , Ming Anjie , Wei Feng , Mao Changhui
Published: June 2024

Increasing concerns about air quality due to fossil fuel combustion, especially nitrogen oxides (NOx) from marine and diesel engines, necessitate advanced monitoring systems due to the significant health and environmental impacts of nitrogen dioxide (NO2). In this study, a gas detection system based on the principle of the non-dispersive infrared (NDIR) technique is proposed. Firstly, the pyroelectric detector was developed by employing an ultra-thin LiTaO3 (LT) layer as the sensitive element, integrated with nanoscale carbon material prepared by wafer-level graphics technology as the infrared absorption layer. Then, the sensor was hermetically sealed using inert gas through energy storage welding technology, exhibiting a high detectivity (D*) value of 4.19 × 108 cm·√Hz/W. Subsequently, a NO2 gas sensor was engineered based on the NDIR principle employing a Micro Electro Mechanical System (MEMS) infrared (IR) emitter, featuring a light path chamber length of 1.5 m, along with integrated signal processing and software calibration algorithms. This gas sensor was capable of detecting NO2 concentrations within the range of 0–500 ppm. Initial tests indicated that the gas sensor exhibited a full-scale relative error of less than 0.46%, a limit of 2.8 ppm, a linearity of −1.09%, a repeatability of 0.47% at a concentration of 500 ppm, and a stability of 2% at a concentration of 500 ppm. The developed gas sensor demonstrated significant potential for application in areas such as industrial monitoring and analytical instrumentation.
A Compensation Method for Full-Field-of-View Energy Nonuniformity in Dark-and-Weak-Target Simulators
Authors: Quan Fenghuan , Liu Shi , Sun Gaofei , Zhang Jian , Zhang Yu , Zhao Bin , Zhang Jierui
Published: June 2024

Dark-and-weak-target simulators are used as ground-based calibration devices to test and calibrate the performance metrics of star sensors. However, these simulators are affected by full-field-of-view energy nonuniformity. This problem impacts the quality of output images and the calibration accuracy of sensors and inhibits further improvements in navigational accuracy. In the study reported in this paper, we sought to analyze the factors which affect full-field-of-view energy uniformity in dark-and-weak-target simulators. These include uneven irradiation in backlight sources, the leakage of light from LCD display panels, and the vignetting of collimating optical systems. We then established an energy transfer model of a dark-and-weak-target simulator based on the propagation of a point light source and proposed a self-adaptive compensation algorithm based on pixel-by-pixel fitting. This algorithm used a sensor to capture the output image of a dark-and-weak-target simulator and iteratively calculated the response error matrix of the simulator. Finally, we validated the feasibility and effectiveness of the compensation algorithm by acquiring images using a self-built test system. The results showed that, after compensating an output image of the dark-and-weak-target simulator, the grayscale standard display function (SDF) of the acquired sensor image was reduced by about 50% overall, so the acquisition image was more accurately compensated, and the desired level of grayscale distribution was obtained. This study provides a reference for improving the quality of output images from dark-and-weak-target simulators, so that the working environments of star sensors may be more realistically simulated, and their detection performance improved.
Power Grids and Instrument Transformers up to 150 kHz: A Review of Literature and Standards
Authors: Agazar Mohamed , D’Avanzo Giovanni , Frigo Guglielmo , Giordano Domenico , Iodice Claudio , Letizia Palma Sara , Luiso Mario , Mariscotti Andrea , Mingotti Alessandro , Munoz Fabio , Palladini Daniele , Rietveld Gert , van den Brom Helko
Published: June 2024

The phenomenon of high-frequency distortion (HFD) in the electric grids, at both low-voltage (LV) and medium-voltage (MV) levels, is gaining increasing interest within the scientific and technical community due to its growing occurrence and the associated impact. These disturbances are mainly injected into the grid by new installed devices, essential for achieving decentralized generation based on renewable sources. In fact, these generation systems are connected to the grid through power converters, whose switching frequencies are significantly increasing, leading to a corresponding rise in the frequency of the injected disturbances. HFD represents a quite recent issue, but numerous scientific papers have been published in recent years on this topic. Furthermore, various international standards have also covered it, to provide guidance on instrumentation and related algorithms and indices for the measurement of these phenomena. When measuring HFD in MV grids, it is necessary to use instrument transformers (ITs) to scale voltages and currents to levels fitting with the input stages of power quality (PQ) instruments. In this respect, the recently released Edition 2 of the IEC 61869-1 standard extends the concept of the IT accuracy class up to 500 kHz; however, the IEC 61869 standard family provides guidelines on how to test ITs only at power frequency. This paper provides an extensive review of literature, standards, and the main outputs of European research projects focusing on HFD and ITs. This preliminary study of the state-of-the-art represents an essential starting point for defining significant waveforms to test ITs and, more generally, to achieve a comprehensive understanding of HFD. In this framework, this paper provides a summary of the most common ranges of amplitude and frequency variations of actual HFD found in real grids, the currently adopted measurement methods, and the normative open challenges to be addressed.
Enhanced Hybrid Vision Transformer with Multi-Scale Feature Integration and Patch Dropping for Facial Expression Recognition
Authors: Li Nianfeng , Huang Yongyuan , Wang Zhenyan , Fan Ziyao , Li Xinyuan , Xiao Zhiguo
Published: June 2024

Convolutional neural networks (CNNs) have made significant progress in the field of facial expression recognition (FER). However, due to challenges such as occlusion, lighting variations, and changes in head pose, facial expression recognition in real-world environments remains highly challenging. At the same time, methods solely based on CNN heavily rely on local spatial features, lack global information, and struggle to balance the relationship between computational complexity and recognition accuracy. Consequently, the CNN-based models still fall short in their ability to address FER adequately. To address these issues, we propose a lightweight facial expression recognition method based on a hybrid vision transformer. This method captures multi-scale facial features through an improved attention module, achieving richer feature integration, enhancing the network’s perception of key facial expression regions, and improving feature extraction capabilities. Additionally, to further enhance the model’s performance, we have designed the patch dropping (PD) module. This module aims to emulate the attention allocation mechanism of the human visual system for local features, guiding the network to focus on the most discriminative features, reducing the influence of irrelevant features, and intuitively lowering computational costs. Extensive experiments demonstrate that our approach significantly outperforms other methods, achieving an accuracy of 86.51% on RAF-DB and nearly 70% on FER2013, with a model size of only 3.64 MB. These results demonstrate that our method provides a new perspective for the field of facial expression recognition.
Privacy-Centric AI and IoT Solutions for Smart Rural Farm Monitoring and Control
Authors: Rahaman Mosiur , Lin Chun-Yuan , Pappachan Princy , Gupta Brij B. , Hsu Ching-Hsien
Published: June 2024

The integration of artificial intelligence (AI) and the Internet of Things (IoT) in agriculture has significantly transformed rural farming. However, the adoption of these technologies has also introduced privacy and security concerns, particularly unauthorized breaches and cyber-attacks on data collected from IoT devices and sensitive information. The present study addresses these concerns by developing a comprehensive framework that provides practical, privacy-centric AI and IoT solutions for monitoring smart rural farms. This is performed by designing a framework that includes a three-phase protocol that secures data exchange between the User, the IoT Sensor Layer, and the Central Server. In the proposed protocol, the Central Server is responsible for establishing a secure communication channel by verifying the legitimacy of the IoT Sensor devices and the User and securing the data using rigorous cryptographic techniques. The proposed protocol is also validated using the Automated Validation of Internet Security Protocols and Applications (AVISPA) tool. The formal security analysis confirms the robustness of the protocol and its suitability for real-time applications in AI and IoT-enabled smart rural farms, demonstrating resistance against various attacks and enhanced performance metrics, including a computation time of 0.04 s for 11 messages and a detailed search where 119 nodes were visited at a depth of 12 plies in a mere search time of 0.28 s.
Sustainable Development of the Economy—A Case Study of the Impacts of the Size of Enterprises and Factors Affecting Performance
Authors: Stoenoiu Carmen Elena , Jäntschi Lorentz
Published: June 2024

Approaches to the sustainable development of enterprises are a continuous concern of EU countries, contributing to the achievement of national well-being. Companies today face the combined effects of a multitude of factors that affect their results. This study was carried out to analyse the factors that influence the enterprises in the non-financial sector (industry, trade, and services). The analysis used the related data from eight Eastern European countries in the period of 2018–2020, and includes companies by country, size, number of employees, number of companies by number of employees, turnover, added value and average productivity per employee in generating turnover and added value, respectively. To carry out the study, four research questions and four possible hypotheses were used. For data analysis, generalized linear models were used, and four models were obtained and statistically validated. The obtained results led to the identification of the factors associated with the dependent variables that were the basis for the creation of the models.
Nexus of Human Development and Environmental Quality in Low-Income and Developing Countries: Do Renewable Energy and Good Governance Matter?
Authors: Rahman Mohammad Mafizur , Sultana Nahid
Published: June 2024

The relationship between human development and environmental quality has been explored in this study by examining the human-development status and carbon (CO2)-emissions levels of 60 countries from the low, lower-middle, and upper-middle income categories. The roles of renewable energy and some economic and institutional factors such as GDP, the rule of law, regulatory quality, and corruption control have also been investigated to ascertain their impacts on the relationship. The empirical investigations apply the generalized method of moments (GMM), fixed effects (FE), and random effects (RE) methods, and the long-run associations among the variables are investigated by applying the fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) techniques. The robust findings support the trade-off relationship between human development and environmental quality in the selected low-income and developing countries. With evidence of an environmental Kuznets’s relationship between economic growth and environmental quality, these findings reveal that the measures pursued to improve human-development status have a contributory impact on CO2 emissions in the selected countries. However, an increased demand for renewable energy, effective enforcement of the rule of law, and improved control over corruption have a mitigating effect on CO2 emissions. The result has also highlighted the policy issues instrumental to increased emissions levels in these countries. Consequently, it is recommended to formulate policies for resolving disparities within the various dimensions of human development while also making deliberate investments in the socio-economic aspects of human development to ensure both sustainable human development and environmental quality.
Predictors of Pro-Environmental Behaviors in Adolescence: A Scoping Review
Authors: Denault Anne-Sophie , Bouchard Maxim , Proulx Jasmine , Poulin François , Dupéré Véronique , Archambault Isabelle , Lavoie Marie Denise
Published: June 2024

Today’s adolescents will inevitably face the negative effects of climate change and will need to engage in pro-environmental behaviors (PEBs) as part of the solutions. The primary objective of this scoping review was to identify the individual, peer and family, and school and community predictors of PEB in adolescence. The secondary objectives were to highlight the main types of PEBs, the main conceptual frameworks examined in adolescence, and the main research gaps mentioned in prior studies. A bibliographic search on multiple databases was conducted. Among the 2578 records identified, 209 were retrieved and assessed for eligibility, and 62 met the inclusion criteria (i.e., peer-reviewed primary research articles published in English in the last ten years with adolescent data). Results reveal a heterogeneous set of correlates with an imbalance favoring individual correlates. The most frequent PEBs in the reviewed studies were linked to energy and water conservation. The most frequent theoretical frameworks were the Theory of Planned Behavior and the Value–Belief–Norm Theory, while the most frequently highlighted research gap was the use of cross-sectional designs. These results can inform the targets of interventions aimed at increasing PEBs, which are fundamental aspects of the psychology of sustainability and sustainable development.
Towards Greener Futures: Investigating the Nexus of Social, Human, and Institutional Capital in Sustainable Waste Management
Authors: Cascioli Piera , D’Ingiullo Dario , Furia Donatella , Odoardi Iacopo , Quaglione Davide
Published: June 2024

Sustainable development is increasingly recognized for its reliance on grassroots, bottom-up practices embedded in local communities. The economic literature has tested various influencing factors on household behaviors, such as culture or social cohesion, often considering proxies of so-called “intangible capitals” separately. This article aims to jointly consider the pivotal role of three of these potential capitals that could have a trigger effect on pro-environmental behaviors, specifically, social capital (sc), human capital (hc), and institutional quality (iq). In particular, our study, by adopting a PVAR approach, analyzes if and to what extent sc, hc, and iq influence the priority goal of increasing waste-sorting practices in the 20 Italian regions. Additionally, rooted in a robust theoretical framework, we present an in-depth analysis, with the trend of impulses from statistically significant variables—having observed the important roles played by hc, sc, and particularly iq, as well as the control variables GDP per capita and population density—in increasing the percentage of waste sorting. This impulse analysis suggests for policy interventions that there would be immediate effects (1–2 years) due to the improvement of our intangible capitals, but also a short duration. This suggests the need for lasting and structural interventions.
ESG and Firm Risk: Evidence in Korea
Authors: Khorilov Tokhir Gaybiddinovich , Kim Jungmu
Published: June 2024

This study examines the intricate relationship between ESG considerations and risk profiles of firms by presenting a comprehensive analysis of total, systematic, and idiosyncratic risks. Using 7834 firm-year observations from 2011 to 2022 in the Korean market, the findings reveal that ESG engagement effectively reduces total, systematic, and idiosyncratic risks. Especially noteworthy is the fact that the reduction in systematic risk, a discovery associated with ESG engagement in medium-sized firms, remains concealed when examining only the total risk. During the COVID-19 crisis, ESG remained valuable in lowering total and idiosyncratic risks but paradoxically increased systematic risk in certain circumstances. These findings emphasize the risk-mitigating potential of ESG, advocating customized strategies based on firm size. They also underscore the resilience of firms that are dedicated to ESG practices during a crisis. Investors may enhance risk-adjusted returns and mitigate overall portfolio risk by integrating ESG factors into their investment strategies, with the importance of tailoring such strategies emphasized, while governments should develop policies incentivizing ESG engagement and allocating resources for ESG-related initiatives.
Evolutionary Dynamics of Passive Housing Initiatives in New Rural Construction
Authors: Ma Yingrui , Wu Chao , Wei Xindong , Gao Weijun , Sun Lei
Published: June 2024

In the context of China’s ambitious dual carbon goals, this study introduces an innovative reward–penalty incentive mechanism, grounded in evolutionary game theory, to develop a tripartite evolutionary game model concerning the construction of passive rural housing. This research meticulously analyzes the equilibrium and stability strategies of all involved parties and employs data simulation to examine the influence of varying parameters on the game dynamics. Our findings reveal that the government’s cost–benefit calculations significantly influence its decisions regarding passive housing initiatives. The study identifies optimal cost and benefit strategies for various developmental phases. Furthermore, the level of governmental rewards and penalties plays a crucial role in determining whether enterprises and farmers opt for passive housing solutions. The study establishes the efficacy of different incentive schemes at various stages. Importantly, the economic interests of enterprises and farmers are pivotal in their decision-making process regarding passive housing. The study advocates for a comprehensive set of measures to safeguard these interests, with a special emphasis on protecting farmers. In conclusion, this research offers substantial guidance for policy decisions aimed at transforming existing rural housing into passive housing, thereby aligning with China’s environmental and sustainability objectives.
Ultimate Pit Limit Optimization Method with Integrated Consideration of Ecological Cost, Slope Safety and Benefits: A Case Study of Heishan Open Pit Coal Mine
Authors: Xu Xiaochuan , Zhu Zhenguo , Ye Luqing , Gu Xiaowei , Wang Qing , Zhao Yunqi , Liu Siyi , Zhao Yuqi
Published: June 2024

The ecological impacts of mining and the instability of slopes are the key factors restricting the safe, efficient, and low-carbon production of open-pit mines. This study focused on the ultimate pit limit (UPL) optimization under the concept of sustainability by integrating consideration of the economic benefit, ecological impact, and slope geometry. The integrated UPL optimization model based on the floating cone method was proposed by establishing a quantitative model for ecological impacts arising from open-pit coal mining in arid or semi-arid weak ecological land and a cost calculation model of slope reinforcement based on the Monte Carlo method. The case study revealed that steepening the slope angle of given regions resulted in random variations in the quantity of ore rock and the limit morphology. There was an average economic profit rise of USD 9.54M with every 1° increase in slope angle, but the probability of slope instability and the reinforcement cost grows exponentially. In the arid or semi-arid weak ecological land, the ecological costs exceeded 20% of the mines’ average pure economic gains. The proposed optimization method contributes to obtaining an integrated optimal UPL, improving the benefits and the ore recovery rate.
Employer Brand Attractiveness and Organizational Commitment: The Moderating Role of Organizational Support
Authors: Onur Neslihan , Celik Yetim Ayse , Guven Yigit , Gozen Ebru , Ozilhan Ozbey Derya , Coskun Degirmen Gul
Published: June 2024

The primary purpose of this article is to determine the relationship between employer brand attractiveness, which is considered to be critical in achieving sustainable human resource management and organizational commitment, and to reveal the moderating role of perceived organizational support in this relationship. The research was conducted on the employees of 5-star hotels in Manavgat, one of the most popular tourist destinations in Turkey. Data were collected between June and October 2023. The hypothetical model was developed based on the results obtained and was tested using the AMOS program (IBM SPSS AMOS 22). Accordingly, the Process macro (model 1) was found to be the most appropriate model for determining moderating effects. The results of this study revealed a positive relationship between the economic, social, development, and application dimensions of employer brand attractiveness and organizational commitment. On the other hand, it was concluded that interest value did not have a statistically significant effect on organizational commitment. Moreover, it was also determined in the results of this study that perceived organizational support has a moderating role in the relationship between employer brand attractiveness dimensions and organizational commitment. It is believed that the research findings concerning the relationships between the variables and the moderating effect of perceived organizational support will contribute to filling a gap in the relevant literature. In light of the findings, a number of theoretical and practical implications have been presented for tourism and hospitality organizations and academicians on sustainable human resource management.
Effects of Technology-Based Practice on Chinese University Students’ Interpreting Emotions and Performance
Authors: Liu Meihua
Published: June 2024

As a critical component of second/foreign language learning, interpreting is both rewarding and highly anxiety-provoking. Yet, the review of the literature shows that studies on interpreting anxiety and other emotions are limited, and intervention studies on reducing interpreting anxiety and increasing confidence in interpreting are hardly available. This study employed a quasi-experimental design and explored the effects of technology-based practice on Chinese undergraduate English majors’ interpreting emotions and performance over a 12-week period. There were 44 students in the experimental group with technology-based practice and 46 were in the control group without technology-based practice from a university in Beijing. They took an interpreting test and answered an eight-item interpreting classroom anxiety scale, a nine-item interpreting classroom enjoyment scale, and a three-item interpreting self-efficacy scale prior to (phase 1) and after (phase 2) the intervention. The major findings were: (1) students in both groups became significantly less anxious and more joyful in the interpreting class, had significantly greater interpreting self-efficacy, and performed significantly better in the interpreting test in phase 2, (2) both groups started at a similar level in phase 1, and the experimental group reported a significantly lower interpreting classroom anxiety level, significantly greater interpreting self-efficacy, and higher interpreting test scores than the control group in phase 2, and (3) the learning modes significantly affected the participants’ interpreting classroom anxiety, self-efficacy, and performance. These findings indicate the effects of the intervention and hence enrich the current literature on interpreting emotions. The findings also highlight the importance of technology-based practice in enhancing students’ confidence, self-efficacy, and performance in interpreting, leading to sustainable development in interpreting competence.
Human Activities Have Altered Sediment Transport in the Yihe River, the Longest River Originating from Shandong Province, China
Authors: Liu Jiayuan , Zheng Shuwei , Lin Jinkuo , Zhao Mengjie , Ma Yanan , Chen Banghui , Wen Fei , Lu Zhijie , Li Zijun
Published: June 2024

Climate change and human activities affect regional sediment transport and ecological environment construction. Investigating sediment transport and its influencing factors in the Yihe River Basin (YHRB) will provide guidance for regional soil and water conservation and sustainable development. We analyzed the chronological changes, cycles, spatial distribution and influencing factors using Mann–Kendall (M-K) trend analysis, wavelet analysis, and the Pettitt mutation point (PMP) test, then quantified the role of precipitation and human activities in sediment transport changes. The results showed that annual precipitation decreased marginally, whereas sediment load has noticeably declined. Four precipitation cycles were observed: 4–8a, 9–14a, 16–19a, and 20–28a, where 9–14a was dominant; sediment transport cycles were tracked: 3–5a, 9–15a, and 30a, where 30a was dominant with a decreasing trend. The sediment load was higher in the central, northern, and southwestern sub-basins of the YHRB, while it was lower in the southeast. The contribution of human activities and precipitation changes to sediment transport was 73.14% and 26.86% in transitional phase I (1965–1980) and 71.97% and 28.03% in transitional phase II (1981–2020), respectively. Hydraulic engineering construction, water resource development, land-use changes, and soil and water conservation measures intercepted precipitation and sediment, making them the primary factor affecting sediment transport changes in the YHRB.
An Analysis of Policy Transmission Flow in the Chengdu Plain Urban Agglomeration in Southwest China: Towards Building an Ecological Protection Network
Authors: Hou Langong , Deng Yingjia , Wang Xiaolan , Liu Tao , Xu Yuanhang , Wang Jing
Published: June 2024

Regional ecological protection is an urgent task in today’s social development, and constructing an ecological protection network is an important way to achieve regional ecological coordination. However, previous studies have lacked a systematic review and analysis of policy document transmission paths, failing to consider the spatial network structure and its complex characteristics of regional ecological protection policies, resulting in deficiencies in regional coordinated governance of the ecological environment. To address this gap, this study constructs an ecological policy transmission network lineage for the Chengdu Plain urban agglomeration (CDPUA) based on 400 ecological environmental protection policy documents issued by cities in the CDPUA from 2015 to 2022, focusing on the transmission perspective of policy documents. Social network analysis methods, a GIS spatial analysis, and other methods were employed to construct the ecological protection network of the CDPUA and analyze the complex spatial structure and characteristics of the network. It was found that the integrated ecological protection network of the CDPUA exhibits a multi-core triangular pattern with spatial characteristics of density in the east and sparsity in the west. The integrated ecological protection network has a density of 60.71%, indicating a strong intercity linkage, with Suining as the central nucleus transmitting policies to surrounding cities, forming the Suining–Chengdu–Mianyang policy transmission triangle. The urban agglomeration has formed an ecological protection network dominated by multiple cities, offering diverse and distinct types of ecosystem services. This study provides insights to enhance regional collaborative ecological governance and protection, promoting sustainable development in the region.
Public Transport Inequality and Utilization: Exploring the Perspective of the Inequality Impact on Travel Choices
Authors: Bokhari Ali , Sharifi Farahnaz
Published: June 2024

Public transport (PT) inequality is evidenced to have adverse consequences on various social–urban–economic aspects of urban residents’ lives; however, the impact of this inequality on PT itself, particularly its utilization, is a less explored area of study. This paper examines the association between PT inequality and PT utilization patterns in Melbourne, Australia, using journey-to-work data in a multivariate regression model. By analyzing commuting and socioeconomic factors, we investigate how PT inequalities affect the travel choices of the residents. Our findings indicate that regions with lower PT inequality demonstrate higher PT usage for daily commuting, emphasizing the importance of the equitable distribution of resources. This finding is consistent across different PT modes of trains, trams, and buses, and using different inequality measures of the Gini index and the 90/10 ratio. Spatial variations and factors like income levels, education, home ownership, and age are also found to influence PT usage. The findings offer valuable insights into the potential impact of incorporating equity considerations during the planning stages of PT projects. Furthermore, they could justify targeted interventions aimed at enhancing the equity of PT services.
Toward the Circular Economy in the Aquaculture Sector: Bibliometric, Network and Content Analyses
Authors: Masi Margherita , Adinolfi Felice , Vecchio Yari , Agnusdei Giulio Paolo , Coluccia Benedetta
Published: June 2024

This paper offers an overview of circular economy strategies applied to the aquaculture sector. The growing challenges imposed on the sector by the strategies of the Green Deal impose new growth strategies in the name of sustainability. The scalability of these strategies is increasingly hampered by regulatory voids and by the absence of a universally accepted assessment method for measuring the impacts of current aquaculture systems. More than ever, a review of knowledge in the circular economy field is required to comprehend where the aquaculture sector is heading, and in order to make the required transition. The present review proposes a bibliometric analysis, a network analysis and a content analysis, which highlight a very new and expanding field of research. The studies were firstly analyzed from a micro (animal metabolism) to a macro perspective (policies, markets and society), emphasizing where research is still lacking. Furthermore, a second level of classification concerns the type of circularity approach proposed for the aquaculture system, which can be divided into open-loop or closed-loop strategies. Regarding the open-loop-related studies, the focus of the evaluation is devoted to the different bioeconomic values of the circularity strategies proposed for the biological flows entering and exiting the aquaculture system. The literature review offered insights into the identification of research threads that are developing around the aquaculture sector.
The Impact of COVID-19 Pandemic on Sustainable Development Goals
Authors: Gherghina Ștefan , Simionescu Liliana
Published: June 2024

In December 2019, a new kind of coronavirus, termed novel coronavirus (2019-nCoV or COVID-19), was noticed in Wuhan, China, and has now rapidly spread throughout China and the world [...]
Enabling Industry 4.0 Technologies to Drive Sustainable Housing Delivery across the Housing Supply Value Chain in Saudi Arabia: Challenges and Prospects
Authors: Alhamoudi Abdullah Mazen
Published: June 2024

The Saudi government has launched the Saudi Vision 2030 that aims to increase the home ownership rate to 70% by 2030 by taking the different sustainability goals into consideration. However, several challenges such as rapid urbanization and the gap between housing supply and demand are facing this goal. This study attributes the housing supply gap to KSA’s reductionist approach to the housing supply value chain (HSVC) and proposes adopting Industry 4.0 technologies. The study explores the challenges and prospects of integrating these technologies for sustainable housing delivery across the HSVC. Through action research, data were gathered via random sampling and analyzed using Statistical Package for Social Science version 24, incorporating a principal component analysis (PCA). The findings from the analysis identify key challenges such as data management infrastructure, construction industry regulations, uncertain housing delivery policies, and resistance to change. Despite these challenges, there is a strong potential for adopting Industry 4.0 technologies to achieve sustainable housing delivery. This study offers a blueprint for policymakers and housing industry leaders to develop a comprehensive strategy for adopting 4IR technologies in housing delivery, enhancing collaboration and driving progress towards Saudi Arabia’s sustainable housing goals.
Opportunities and Barriers for Agrivoltaics on Tribal Lands
Authors: Moore Karli A. , Lobell David B.
Published: June 2024

Recent federal legislation, like the 2021 Infrastructure Investment and Jobs Act and 2022 Inflation Reduction Act, has led to a push for more solar energy on Tribal lands, increasing competition for already limited agricultural land. Agrivoltaics is an innovative technology with the potential to lessen the tradeoffs between agriculture production and solar energy generation. This study investigates the opportunities and barriers for agrivoltaics on Tribal lands through expert qualitative interviews with Tribal agriculture professionals that inform geospatial suitability analysis of physical characteristics. Qualitative results indicate agrivoltaics on Tribal lands could contribute positively to food sovereignty, energy sovereignty, and economic development goals for Tribes; on the other hand, Tribal agriculture professionals have technical, economic, siting, and socioecological concerns that should be addressed through future work. Quantitatively, we find up to 15 million acres of Tribal agricultural land may be feasible for micro-grid agrivoltaics, with 7 million acres in sufficient proximity to existing transmission lines to tie into the grid. The leading states for Tribal agrivoltaics by land area are South Dakota, Montana, and Arizona, each home to Tribes with large land bases and a strong agricultural economy. This work aims to inform Tribal land managers, policymakers, and researchers on the opportunities and barriers for agrivoltaics on Tribal lands.
Thinking Out Loud? Internal vs. External Communication of Sustainability in Companies
Authors: Offermann Julia , Rohowsky Anna , Ziefle Martina
Published: June 2024

Climate change is already having a significant impact, and Germany, the EU’s largest emitter of carbon dioxide, is experiencing this firsthand, prompting adaptation measures in cities. German companies must balance social and environmental responsibility with economic goals. Achieving sustainable business goals requires employee support and engagement, which can be facilitated through internal and external communication using storytelling and narratives. This paper addresses a gap in research on internal and external sustainability communication by examining both simultaneously. Using a semi-structured interview study, the paper examines the current state of sustainability communication in selected German companies, focusing on addressees, channels, structure, and content. The results revealed a high relevance of sustainability in companies, identified similarities between internal and external characteristics of communication, but also highlighted specific differences (e.g., with regard to communication strategies). This paper also identifies effects of communication and areas for improvement and suggests directions for future research to improve sustainability communication and its role in promoting a more sustainable society.
Geopolymer Cement in Pavement Applications: Bridging Sustainability and Performance
Authors: Ikotun Jacob O. , Aderinto Gbenga E. , Madirisha Makungu M. , Katte Valentine Y.
Published: June 2024

Sustainability and the quest for a more robust construction material cannot be divorced from each other. While Portland cement has revolutionized the construction sector, its environmental toll, particularly in greenhouse gas emissions and global warming, cannot be ignored. Addressing this dilemma requires embracing alternatives like geopolymer cement/geopolymer binder (GPC/GPB). Over the last few decades, considerable strides have been achieved in advancing GPC as a sustainable construction material, including its utilization in pavement construction. Despite these advances, gaps still exist in GPC optimal potential in pavement construction, as most studies have concentrated on specific attributes rather than on a comprehensive evaluation. To bridge this gap, this review adopts a novel, holistic approach by integrating environmental impacts with performance metrics. To set the stage, this review first delves into the geopolymer concept from a chemistry perspective, providing an essential broad overview for exploring GPC’s innovations and implications in pavement applications. The findings reveal that GPC not only significantly reduces greenhouse gas emissions and energy consumption compared to Portland cement but also enhances pavement performance. Further, GPC concrete pavement exhibits superior mechanical, durability, and thermal properties to ensure its long-term performance in pavement applications. However, challenges to GPC utilization as a pavement material include the variability of raw materials, the need for suitable hardeners, the lack of standardized codes and procedures, cost competitiveness, and limited field data. Despite these challenges, the process of geopolymerization presents GPC as a sustainable material for pavement construction, aligning with Sustainable Development Goals (SDGs) 3, 9, 11, and 12.
Large Protected Areas Safeguard Mammalian Functional Diversity in Human-Modified Landscapes
Authors: Fornitano Larissa , Gouvea Jéssica Abonizio , Costa Rômulo Theodoro , Magioli Marcelo , Bianchi Rita
Published: June 2024

Habitat loss and fragmentation are pervasive processes driving the disappearance of populations and species in the Neotropical region. Since species loss may translate into functional loss, assessing changes in the composition of assemblages’ functional traits might improve our understanding of the ecological roles played by species and ecosystem functioning. Here, we investigate how landscape structure and composition impact the functional diversity of terrestrial mammals in 18 forest patches composing eight protected areas in Southern Brazil. We used functional diversity (FD) based on dietary, physical, and behavioral traits and species vulnerability to extinction. We determined which landscape variables (patch size, proportions of forest and sugarcane, and patch isolation) most influenced mammal FD values by using a both-direction stepwise model selection from a linear global model. Finally, we evaluated the role of trophic guilds in explaining the variation in the FD values using a Principal Component Analysis. Between 2012 and 2017, using camera traps, we recorded 26 native medium- and large-sized mammals throughout the protected areas, of which 6 are regionally threatened, and 5 domestic/exotic species. Richness among the forest patches varied from 4 to 24 species (9.05 ± 5.83), while the FD values varied from 1.29 to 6.59 (2.62 ± 1.51). FD variation was best explained by patch size, which exhibited a strong positive correlation (adjusted R2 = 0.55, slope = 0.67, p < 0.001). Insectivores and frugivores presented the highest correlation with patch size, explaining most of the variation in the FD values. Our findings strengthen the paramount role of large protected areas in maintaining mammal diversity and their ecological functions in human-modified landscapes.
Analyzing Cooling Island Effect of Urban Parks in Zhengzhou City: A Study on Spatial Maximum and Spatial Accumulation Perspectives
Authors: He Manting , Yang Chaobin
Published: June 2024

As a result of urbanization, cities worldwide are experiencing urban heat island (UHI) challenges. Urban parks, which are essential components of urban blue and green landscapes, typically have lower temperatures in providing outdoor comfort than their surroundings with impervious surfaces. This phenomenon, known as the park cooling island effect (PCIE), has been recognized as an effective approach to mitigate the negative effects of the UHI in the context of sustainable development of urban environment. To cope with the serious UHI challenge and to guide urban park planning and design for Zhengzhou City, which is one of the China’s new first-tier cities, 35 urban parks in the city were analyzed in this study. Remotely sensed land surface temperature (LST) and reflectance images by Landsat 9 and Sentinel-2 were selected as data sources. A cubic polynomial model that depicts the relationship between the LST and the distance from the park edge was first built for each park. Based on this model, the spatial maximum perspective metrics (including the park cooling area (PCA) and park cooling efficiency (PCE)) and the spatial accumulation perspective metrics (including park cooling intensity (PCI) and park cooling gradient (PCG)) were calculated to quantify the PCIE of each park. The 35 parks were divided into three groups using the hierarchical clustering method for further analysis. For each group, the metrics of the PCIE were statistically analyzed, and the main factors influencing the PCIE were identified by the Spearman correlation coefficient. The results indicate the following: (1) The 35 urban parks exhibit an obvious PCIE. The maximum cooling distance is 133.95 ± 41.93 m. The mean LST of the park is 3.01 ± 1.23 °C lower than that within the maximum cooling distance range. (2) The PCIE varies among different types of parks. Parks with large areas and covered by certain water bodies generally exhibit higher PCA, PCI, and PCG values. However, parks with small areas and mainly covered by vegetation show higher PCE values, which makes them more economical in exerting the PCIE. (3) Park area and landscape shape index (LSI) were positively correlated with PCA, PCI, and PCG. However, there is a threshold in the relationship between the park area and the PCI. A park area of approximately 19 ha can produce a higher PCI than a smaller one. In central urban areas with limited space, parks with small areas, complex shapes, and predominant vegetation coverage can be designed to achieve higher cooling efficiency.
Host–Guest Interaction and Sustainable Consumption Behaviour on Sharing-Accommodation Platforms: Using a Big Data Analytic Approach
Authors: Jiang Xiulan , Li Yukun , Yang Jun , Wang Sen , Han Chunjia
Published: June 2024

The rapid expansion of the sharing economy has ignited diverse perspectives regarding its sustainability implications. Nevertheless, a comprehensive study examining the influence of host–guest interactions on sustainable consumption behaviour is yet to be conducted. To fill the abovementioned gap, this research crawls online data and corresponding consumer reviews of 46,360 properties listed on Muniao Short Rent. Employing latent Dirichlet allocation (LDA) to model sustainable consumption reviews and conducting subsequent regression analysis using SPSS, this research empirically demonstrates that the host–guest interaction frequencies and positive emotions during interaction positively influence guests’ sustainable consumption behaviours within the sharing-accommodation context. This research proposes the significance of the host–guest relationship for green consumers and argues that factors such as price and house type negatively moderate the host–guest interactions and guests’ sustainable consumption initiatives.
Enhancing Sustainable Transportation with Advancements in Photonic Radar Technology with MIMO and IIR Filtering for Adverse Weather Conditions
Authors: Chaudhary Sushank , Sharma Abhishek , Li Qirui , Meng Yahui , Malhotra Jyoteesh
Published: June 2024

Sustainable transportation is crucial in addressing global road safety and environmental challenges. This study introduces a novel photonic radar system, leveraging Linear Frequency-Modulated Continuous Wave (LFMCW) technology for high-speed data transmission. Operating in a homodyne configuration, this system uses a single oscillator to generate both signal and reference waveforms. It incorporates mode division multiplexing (MDM) to enable the detection and ranging of multiple targets, even under adverse atmospheric conditions. To counter atmospheric attenuation, the system is equipped with a 2 × 2 MIMO technique and an Infinite Impulse Response (IIR) filter. Numerical simulations demonstrate the system’s superior performance in range resolution and target detection, achieving significant power improvements. The IIR filter further enhances detection, achieving a power improvement of 200% for target 1 and 276% for target 2. With low power requirements and enhancement through IIR filter equalization, this system presents a viable option for battery-operated vehicles. This innovative approach offers a low-power high-efficiency solution suitable for battery-operated vehicles, promoting safer and more reliable sustainable transportation.
An Evaluation of Dryland Ulluco Cultivation Yields in the Face of Climate Change Scenarios in the Central Andes of Peru by Using the AquaCrop Model
Authors: Flores-Marquez Ricardo , Vera-Vílchez Jesús , Verástegui-Martínez Patricia , Lastra Sphyros , Solórzano-Acosta Richard
Published: June 2024

Ullucus tuberosus is an Andean region crop adapted to high-altitude environments and dryland cultivation. It is an essential resource that guarantees food security due to its carbohydrate, protein, and low-fat content. However, current change patterns in precipitation and temperatures warn of complex scenarios where climate change will affect this crop. Therefore, predicting these effects through simulation is a valuable tool for evaluating this crop’s sustainability. This study aims to evaluate ulluco’s crop yield under dryland conditions at 3914 m.a.s.l. considering climate change scenarios from 2024 to 2100 by using the AquaCrop model. Simulations were carried out using current meteorological data, crop agronomic information, and simulations for SSP1-2.6, SSP3-7.0, and SSP5-8.5 of CMIP 6. The results indicate that minimum temperature increases and seasonal precipitation exacerbation will significantly influence yields. Increases in rainfall and environmental CO2 concentrations show an opportunity window for yield increment in the early stages. However, a negative trend is observed for 2050–2100, mainly due to crop temperature stress. These findings highlight the importance of developing more resistant ulluco varieties to heat stress conditions, adapting water management practices, continuing modeling climate change effects on crops, and investing in research on smallholder agriculture to reach Sustainable Development Goals 1, 2, and 13.