bluuebunny/crossref_metadata_2025 huggingface dataset:
Key Contributors to Signal Generation in Frequency Mixing Magnetic Detection (FMMD): An In Silico Study
Authors: Engelmann Ulrich M. , Simsek Beril , Shalaby Ahmed , Krause Hans-Joachim
Published: March 2024

Frequency mixing magnetic detection (FMMD) is a sensitive and selective technique to detect magnetic nanoparticles (MNPs) serving as probes for binding biological targets. Its principle relies on the nonlinear magnetic relaxation dynamics of a particle ensemble interacting with a dual frequency external magnetic field. In order to increase its sensitivity, lower its limit of detection and overall improve its applicability in biosensing, matching combinations of external field parameters and internal particle properties are being sought to advance FMMD. In this study, we systematically probe the aforementioned interaction with coupled Néel–Brownian dynamic relaxation simulations to examine how key MNP properties as well as applied field parameters affect the frequency mixing signal generation. It is found that the core size of MNPs dominates their nonlinear magnetic response, with the strongest contributions from the largest particles. The drive field amplitude dominates the shape of the field-dependent response, whereas effective anisotropy and hydrodynamic size of the particles only weakly influence the signal generation in FMMD. For tailoring the MNP properties and parameters of the setup towards optimal FMMD signal generation, our findings suggest choosing large particles of core sizes dC>25 nm with narrow size distributions (σ<0.1) to minimize the required drive field amplitude. This allows potential improvements of FMMD as a stand-alone application, as well as advances in magnetic particle imaging, hyperthermia and magnetic immunoassays.
The Phosphorus Adsorption and Recovery of Mg/Fe-LDHs Mulberry Rod Biochar Composite
Authors: Liang Meina , Wu Zimeng , Cao Haiyan , Dong Kun , Bai Shaoyuan , Wang Dunqiu
Published: March 2024

Mg/Fe layered bimetallic oxide mulberry rod biochar composites (MFBCs) were prepared from mulberry rods and characterized using electron microscopy scanning (SEM), X-ray diffraction (XRD), Fourier infrared spectroscopy (FT-IR), and X-ray photoelectron spectroscopy (XPS). We investigated the adsorption properties of MFBCs for phosphorus, which was recovered via crystallization using calcium chloride as a precipitant. According to the findings, the MFBC is a layered bimetallic oxide with a specific surface area of 70.93 m2·g−1. Its point of zero charge values, or pHzpc, was 7.66. The removal of phosphorus usingMFBCs gradually decreased with increasing pH, and the optimum pH for phosphorus removal was 4.0. The maximum phosphorus adsorption by MFBCs at 298 K was 29.682 mg·g−1 for MFBCs. The adsorption process of phosphorus onto MFBCs is a heat absorption process, and the adsorption isothermal data of phosphorus onto MFBCs fit with the Langmuir adsorption isothermal model. Phosphorus recovery is achieved when calcium chloride is added to the phosphate-enriched desorption solution at a Ca/P molar ratio of 2.2. The phosphorus product obtained from this process is very pure hydroxyphospapatite. The recovery rate of phosphorus in the desorption solution is 99.64%.
Integrating Multi-Criteria Decision Models in Smart Urban Planning: A Case Study of Architectural and Urban Design Competitions
Authors: Berčič Tomaž , Bohanec Marko , Ažman Momirski Lucija
Published: March 2024

The focus of this study is to integrate the DEX (Decision EXpert) decision-modeling method in architectural and urban design (A & UD) competitions. This study aims to assess the effectiveness of integrating the DEX (Decision EXpert) decision-modeling method into the evaluation process of A & UD competitions to enhance decision-making transparency, objectivity, and efficiency. By using symbolic values in decision models, the approach offers a more user-friendly alternative to the conventional jury decision-making process. The practical application of the DEX method is demonstrated in the Rhinoceros 3D environment to show its effectiveness in evaluating A & UD competition project solutions related to the development of the smart city. The results indicate that the DEX method, with its hierarchical and symbolic values, significantly improves the simplicity of the evaluation process in A & UD competitions, aligning it with the objectives of the smart cities. This method provides an efficient, accessible, and viable alternative to other multi-criteria decision-making approaches. This study importantly contributes to the field of architectural decision making by merging qualitative multi-criteria decision models into the CAD environment, thus supporting more informed, objective, and transparent decision-making processes in the planning and development of smart cities.
Using Inclusive Research Methods and the Housing Pathways Framework in Future Planning and Housing Research: A Pilot Study
Authors: Belperio Irene , Rillotta Fiona , Adam Tim , Walker Ruth , Hutchinson Claire
Published: March 2024

Housing and future planning have been key areas of interest in intellectual and development disabilities research for a number of decades. However, the voices of adults with intellectual disabilities are underrepresented in this area of research. Furthermore, the use of inclusive research methods remains limited in the literature. This study sought to pilot the use of inclusive research approaches to investigate the viability of these methods and to begin to build an evidence base of inclusive research in this area of work. Inclusive data analysis and co-authorship approaches were used on a small qualitative dataset from a larger study investigating future planning and transitions out of the family home by adults with intellectual disabilities and their families in Australia. Three semi-structured interviews with adults with intellectual disabilities and family members regarding their housing preferences and planning were analysed using an inclusive data analysis approach following the principles of Interpretative Phenomenological Analysis. These were then further analysed using a plain language version of the housing pathways framework. The results of the pilot study will be used to inform the inclusive research methods used for the remainder of the project dataset. Overall, the use of inclusive methods to pilot a conceptual model to better understand qualitative data was found to be feasible. Small adjustments to the process and accessibility to better support engagement with the research process are recommended. Lastly, greater investigation into co-authorship approaches and options is suggested as a fruitful avenue of inquiry for future research.
European Works Councils: Their Impact on the Europeanization of Industrial Relations in an Era of Market Globalism
Authors: Koutroukis Theodore
Published: March 2024

The European Works Council (EWC) Directive provides the establishment of a social partnership forum within Multinational Companies (MNCs). The directive gives employees the right to information and consultation with the supra-national group management. The aim of this concept paper is to contribute to the debate on the Europeanization of Industrial Relations (IR) in the European Union. Specifically, it assesses the influence that EWCs, a novel institution within certain Euro-companies, have on the convergence of industrial relations among the member states. This critical topic can be evaluated from the standpoint of the current theory and its practical implications in order to draw the perspectives for a European system of IR both within MNCs and the rest of the companies. Our conclusions indicate that EWCs contribute to Europeanization in several aspects of employee relations, although this contribution has been limited to those issues that are wished for by the MNCs.
Physical Activity and Quality of Life among High School Teachers: A Closer Look
Authors: Živković Danijela , Milanović Ljubica , Đošić Anđela , Vulpe Ana-Maria , Purenović-Ivanović Tijana , Zelenović Milan , Tohănean Dragoș Ioan , Pantelić Saša , Sufaru Constantin , Alexe Cristina Ioana
Published: March 2024

Background: Understanding the relationship between teachers’ physical activity (PA) and quality of life (QoL), which is impacted by work-related stress, could help develop guidelines for improvement. The purpose of this study was to investigate the impact of physical activity on high school teachers’ quality of life and the differences in QoL and PA between male and female teachers. Methods: The sample consisted of 499 respondents (193 men and 306 women), all working in the educational system. The International Physical Activity Questionnaire (short form) was used for PA assessment, and the WHOQoL questionnaire to measure QoL. Results: Physical health and Psychological health domains were areas where male teachers scored better (p < 0.01, both), while female teachers had higher scores in Social relationships domain (p < 0.05). Regression analysis showed that PA affects Physical health: Sig. = 0.056; Psychological health: Sig. = 0.000; Social relationships: Sig. = 0.001; Environment: Sig. = 0.021 in men, and Physical health (Sig. = 0.009) and Psychological health (Sig. = 0.039) in women. Conclusions: The findings of this study allow us to conclude that, whereas female teachers’ PA primarily impacts their physical and psychological domain, male teachers’ PA has an impact on their overall QoL.
Formal Institutional Pressure and the Integration of Corporate Environmental and Financial Performance: Empirical Evidence from Listed Companies in Heavily Polluting Industries in China
Authors: Shu Ying , Zhuang Xiaobin , Ying Rui , Xu Guanghua
Published: March 2024

China’s “carbon peak and neutrality” policy has thrust the convergence of corporate ecological conservation and economic progress to the forefront of sustainable development. This study, aiming to tackle the “sustainability challenge”, delves into the driving forces and operative mechanisms that intertwine corporate environmental performance with financial outcomes from 2015 to 2020. Focusing on A-share listed companies in heavily polluting sectors across Shanghai and Shenzhen stock exchanges, it categorizes formal institutional pressure into two types: command-oriented and market-driven, revealing a significantly stronger positive effect of market-based pressure compared to command-based pressure. Additionally, this research examines the distinct impacts of these institutional pressures under different conditions such as ownership structure, regional location, and executive education levels. The findings indicate that state-owned enterprises, eastern region firms, and those led by highly educated executives are more responsive to command-based pressure. Conversely, privately-owned businesses, entities in central–western regions, and those with lower executive education primarily respond to market-based pressure. Moreover, this study underscores the interplay between informal and formal institutions, observing that the influence of market-based pressure on corporate environmental–financial integration is notably amplified when public awareness of environmental protection increases, thereby highlighting social factors’ pivotal role in business decision-making. In essence, this paper accentuates the significance of aligning corporate environmental and financial goals for sustainable development, offering fresh insights to academia and fostering sustainable practices and research within the corporate realm.
A Systematic Review and Global Trends on Blue Carbon and Sustainable Development: A Bibliometric Study from 2012 to 2023
Authors: Pang Shufen , Abdul Majid Mazlinawati , Perera Hadinnapola Appuhamilage Chintha Crishanthi , Sarkar Mohammad Saydul Islam , Ning Jia , Zhai Weikang , Guo Ran , Deng Yuncheng , Zhang Haiwen
Published: March 2024

Halfway through Transforming Our World: The 2030 Agenda for Sustainable Development, only 15 percent of the goals have been reached. As a carbon storage and climate change mitigation mechanism, blue carbon is closely related to sustainable development goals and plays an important role in the global carbon cycle. In spite of its great potential, blue carbon still faces several challenges in terms of achieving the Sustainable Development Goals. Herein, this review aims to retrieve all known impacts of blue carbon on sustainable development through research published on the Web of Science from 2012 to 2023 using a sequence of bibliometric analyses. Keywords such as “blue carbon” and “sustain*” (including “sustainability”, “sustainable”, etc.) were used for article extraction. CiteSpace, a science mapping tool, was used to capture and visually present the bibliometric information in the research about blue carbon and sustainable development. Upon reviewing the existing literature, no study has concentrated on bibliometrically analyzing and visualizing studies about blue carbon and sustainable development. This study sets out to fill this gap by examining the key areas of concentration in published works on blue carbon and sustainable development from 2012 to date. Moreover, the integration of blue carbon and sustainable development may help to develop supportive policies for marine carbon sinks. Despite the valuable contribution of this study to the blue carbon and sustainable development body of knowledge, generalizations of the results must be made cautiously due to the use of a single database, which in this case is the Web of Science.
Revolutionizing the Textile and Clothing Industry: Pioneering Sustainability and Resilience in a Post-COVID Era
Authors: Chan Eve Man-Hin , Cheung Jenny , Leslie Catherine Amoroso , Lau Yui-Yip , Suen Dawson Wai-Shun , Tsang Chi-Wing
Published: March 2024

The COVID-19 pandemic disrupted global supply chains, posing significant challenges to the textile and clothing industry. However, amidst these threats, there is a unique opportunity to rebuild a more sustainable and resilient fashion industry. This paper explores the shift from pre-COVID-19 business models and consumption values towards a renaissance characterized by real sustainability. By examining the transition from eco-efficiency to eco-effectiveness and from cradle-to-grave to cradle-to-cradle approaches, this study emphasizes the need for the active involvement of key stakeholders in co-creating value for all. Through a comprehensive analysis of the post-COVID era, this study aims to understand textile and clothing industry professionals’ perceptions and attitudes towards sustainable design practices and identify challenges in implementing such strategies. The findings contribute to the knowledge of sustainability in the post-COVID era and provide insights and strategies for textile and clothing industry players to thrive in a sustainable and transformed landscape.
The Influencing Factors of Carbon Emissions in the Industrial Sector: Empirical Analysis Based on a Spatial Econometric Model
Authors: Xie Pinjie , Lu Yue , Xie Yuwen
Published: March 2024

To promote the low-carbon, high-quality development of China’s industrial sector and achieve the national carbon peak goal as soon as possible, this study explores the influencing factors of carbon emissions among industrial sectors. Based on the panel data of 36 industrial sectors in China from 2009 to 2021, the spatial effects and characteristics of industrial sectors are examined by the spatial Durbin model (SDM) based on analyzing the spatial correlation among industrial sectors. The results show the following: (1) Moran’s I statistical results show that China’s industrial carbon emissions have a strong positive spatial correlation, and with time, the spatial correlation between industrial sectors gradually increases. (2) The empirical results of the whole industrial sector show that the property rights structure, capital intensity, and energy structure are the main driving forces promoting carbon emission reduction; the grouping analysis results show that the impact of FDI and property rights structure on the carbon emissions of the industrial sector in different sample groups is different. Among them, the energy structure and research and development play a role in reducing carbon emissions in each sample group. (3) Therefore, in the future, to reduce carbon emissions in the industrial sector, it is necessary to inhibit growth factors and promote the role of reduction factors; optimizing the energy structure and improving the rationality of the property rights structure are effective ways to achieve energy conservation and emission reduction.
Structured Equations to Assess the Socioeconomic and Business Factors Influencing the Financial Sustainability of Traditional Amazonian Chakra in the Ecuadorian Amazon
Authors: Luna Marcelo , Barcellos-Paula Luciano
Published: March 2024

This study focuses on investigating the dimensions of sustainability and their influence on financial-economic sustainability (FES) in traditional agroforestry systems (TAFS) using the case of the Amazonian Chakra. The main objectives were to analyze the dimensions of sustainability and to establish the causal relationships between these dimensions and the FES. To carry out this research, 330 households in Napo Province that use the Amazonian Chakra system to grow cocoa were selected in order to analyze the relationship between the different dimensions of sustainability and FES in this unique context. The results of the study show that practices related to food security (FS) and business factors (BF) have a positive and significant impact on the FES of cocoa-producing households in the Amazonian Chakra system. These findings support the importance of ensuring the availability and quality of food and promoting responsible business practices in these environments. In contrast, the dimensions of environmental resilience (ER) and biodiversity conservation (BC) showed a negative impact on FES, highlighting an economic-financial imbalance in relation to conservation and environmental resilience actions in the Amazonian Chakra. This study contributes to the knowledge needed to promote agricultural practices that include an equal focus on FES, biodiversity conservation, and environmental resilience practices in a globally significant area, providing valuable information for the design of sustainable agricultural policies and practices in the Amazonian Chakra.
Sustainable Labels in Tourism Practice: The Effects of Sustainable Hotel Badges on Guests’ Attitudes and Behavioral Intentions
Authors: Godovykh Maksim , Fyall Alan , Baker Carissa
Published: March 2024

Sustainable practices are becoming increasingly important to tourists and hotel guests. As a result, destinations, hotels, and booking platforms are implementing eco-friendly practices and displaying sustainable badges to communicate their efforts to guests. While the use of sustainable badges increases the visibility of eco-friendly hotels, it is unclear whether they actually influence guests’ choices. This study aimed to explore the effects of the presence of sustainable badges and the awareness of sustainable practices on tourists’ attitudes and behavioral intentions using an experimental design. People who previously used a hotel-booking platform were randomly assigned to four hotel-booking scenarios with the manipulated presence of sustainable badges and awareness about sustainable practices on the website. The data analysis techniques included an analysis of variance, moderation, and a mediation analysis. The study’s results provided empirical evidence that the presence of a sustainable badge could have a positive impact on guests’ attitudes toward a hotel and intentions to book a hotel. These results contributed to the body of knowledge on the impact of sustainable practices, addressed an attitude–behavior gap between tourists’ attitudes and behavioral intentions, and provided valuable insights for destination management organizations, hotel managers, booking platforms, and policymakers interested in promoting sustainable tourism practices.
Accessibility of Urban Tourism in Historical Areas: Analysis of UNESCO World Heritage Sites in Safranbolu
Authors: Şahin Körmeçli Pelin
Published: March 2024

Expansion of cities with population growth leads to the differentiation of urban texture, negatively affecting the accessibility of tourism areas in historical regions. For this reason, there is a need to develop tourism areas that enable people to experience the areas of historical heritage. Sustainable urban development, which is also the theory of the study, has become an agenda for the protection and revitalization of historical areas in order to increase accessibility to tourism. The Safranbolu Protected Area, which is one of the oldest settlements with its traditional housing texture and which is included in the UNESCO World Heritage Sites List in Turkey, was chosen as the study area. In this study, the aim is to examine the accessibility of historical tourism centers, analyze the spatial configuration of the street texture in the city of Karabük and determine the features of the formation mechanism of the Safranbolu historical region. The research questions are based on the impact of (1) the accessibility of the street network on the formation mechanism of the urban architecture and (2) the shaping of urban tourism areas in historical cities. The space syntax method was used to examine the relationship between the building features of the Safranbolu Urban Protected Area and the formation features of the space. Within the scope of the study, the accessibility of the Safranbolu historical center was examined through the street texture that shapes the city form using data from Open Street Map. Segment and axial analyses were made based on the current street network data of the city. The key findings of the research revealed that the accessibility level of the city’s street network was practically effective in shaping the Safranbolu Urban Protected Area. It was theoretically found that the streets with a high global integration value in the city have an impact on the shaping of traditional architecture and constitute important routes for tourism in sustainable development. The findings serve as a reference for researchers in sustainable development, urban planners and local governments who will use it to test the methodology for understanding the street layout of the historical area and improving the experiential characteristics of the users.
Spatio-Temporal Pattern and Vulnerability Assessment of the Human Settlements along the Beibu Gulf Coast of Guangxi, China
Authors: Chen Huirong , Yang Jianzhong , Wang Jinliang
Published: March 2024

Human settlement development is intricately linked to production and life, and development quality is a partial indicator of the local community’s social, economic, cultural, and environmental progress. Furthermore, the human settlements’ vulnerability affects their sustainable development potential. Due to the “One Belt, One Road” initiative and land and sea corridor development in southwestern China, the Beibu Gulf coast in Guangxi is the sole waterway bridgehead used by China for opening trade with ASEAN. By examining the region’s human settlements and its potential for sustainable development, we established a benchmark for the region’s seaward economy and human settlements to achieve synergistic progress, as well as to enhance regional integration. Based on the systematic evaluation of the quality of human settlements along the Beibu Gulf coast in Guangxi, the vulnerability assessment model of human settlement was adopted to analyse the vulnerability and spatial–temporal patterns of nearby human settlements in 2010–2019, while the multiple linear regression model was used to explore their influencing factors. Our findings indicate that the quality of human settlements in the study area has experienced three distinct stages. In the early stage (2010–2012), we noted an overall year-on-year increase in settlement quality. However, in the middle stage (2013–2016), Fangchenggang and Beihai experienced a decline followed by an increase, while Qinzhou demonstrated a steady growth in settlement quality. Qinzhou continued to experience growth, albeit at a slower rate, while Fangchenggang’s rate of increase surpassed that of Beihai. The human settlements’ high-quality centre shifted between Qinzhou and Fangchenggang in the late stage (2017–2019). Additionally, in recent years, the settlements’ high-quality centre has shifted towards the western part of the region. The habitat’s sensitivity has grown slowly, as has the responsiveness index, but the vulnerability index continues to decline, and it is characterised by a spatial differentiation ranging from low to high values in a centre–east–west direction. The region’s human settlement quality is primarily influenced by economic development. The region’s habitat vulnerability is primarily caused by responsibility, and the primary factors affecting responsibility are regional imbalances in social service development, the population’s welfare, and employment and infrastructure.
Mapping Urban Floods via Spectral Indices and Machine Learning Algorithms
Authors: Li Lanxi , Woodley Alan , Chappell Timothy
Published: March 2024

Throughout history, natural disasters have caused severe damage to people and properties worldwide. Flooding is one of the most disastrous types of natural disasters. A key feature of flood assessment has been making use of the information derived from remote-sensing imagery from optical sensors on satellites using spectral indices. Here, a study was conducted about a recent spectral index, the Normalised Difference Inundation Index, and a new ensemble spectral index, the Concatenated Normalised Difference Water Index, and two mature spectral indices: Normalised Difference Water Index and the differential Normalised Difference Water Index with four different machine learning algorithms: Decision Tree, Random Forest, Naive Bayes, and K-Nearest Neighbours applied to the PlanetScope satellite imagery about the Brisbane February 2022 flood which is in urban environment. Statistical analysis was applied to evaluate the results. Overall, the four algorithms provided no significant difference in terms of accuracy and F1 score. However, there were significant differences when some variations in the indices and the algorithms were combined. This research provides a validation of existing measures to identify floods in an urban environment that can help to improve sustainable development.
Effect of Pumping Speeds on the Fate of Aniline in Different Soil Layer
Authors: Gao Rui , Wang Yue , Xi Beidou , Wang Ying , Bai Shunguo , Zhu Jianchao
Published: March 2024

Helan Mountain is an important ecological safety barrier in northwest China. In this study, a heterogeneous site polluted by aniline on Helan Mountain was the research object, and the TMVOC (A Simulator For Multiple Volatile Organic Chemicals) model of aniline restoration by pumping was optimized by employing a column experiment. Four typical layers of the soil medium were selected to explore the influence of soil settlement caused by different pumping speeds on the fate of aniline in different zones. The results show that the optimal pumping speed at the site is 3.24 × 106 m3/month and the latest remediation time is the 10th month after the start of the remediation. The larger the pumping speed is, the more obvious the sedimentation effect is. When the remediation is carried out at 5.18 × 106 m3/month, the NAPL (Non-Aqueous-Phase Liquid) phase removal rate decreases by 33.75% and the distribution of aniline to the NAPL phase increases, compared to that without considering the soil settlement. The fate of aniline in the source zone is the least affected by sedimentation, while that in the vadose zone is the most affected. The phase redistribution phenomenon is the most obvious in the water table fluctuation zone, and the NAPL phase aniline changes into gas and liquid phases. In addition, the NAPL phase concentration in the water table fluctuation zone is two orders of magnitude higher than that at 0.2 m below the water table. NAPL is the most sensitive to the relative settlement in the aquifer. The simulation results can provide a technical reference for the future application of P&T (Pump-and-Treat) technology in the remediation of organically contaminated sites to facilitate the sustainable use of soil. It is suggested that more attention should be paid to the water table fluctuation zone during the remediation of contaminated sites.
Modeling the Interactive Patterns of International Migration Network through a Reverse Gravity Approach
Authors: Yu Xuesong , Qin Kun , Jia Tao , Zhou Yang , Gao Xieqing
Published: March 2024

The international migration network, comprising the movements of people between countries, is one of the most important global systems of interaction, which can reflect the complex international relations of economics, cultures, and politics and has huge impacts on global sustainability. However, the conventional gravity model cannot model its complicated interactions accurately. In this article, we propose a novel reverse gravity model using genetic algorithm to reconstruct the complicated interaction patterns with high accuracy. To verify the feasibility of our method, it was applied to a series of international migration networks. We found that the derived node attractions were highly correlated with socioeconomic factors and network metrics, and the calculated node positions outperformed the geometric centers from the perspective of human migration that related to economy and demography. Our approach could be a preferred choice to investigate the spatial–temporal interactive patterns in geographical space, facilitating comprehension of the mechanisms underlying their generation and evolution.
The Role of the Periodic Table of the Elements of Green and Sustainable Chemistry in a High School Educational Context
Authors: da Silva Júnior Carlos Alberto , Morais Carla , Jesus Dosil Pereira de , Girotto Júnior Gildo
Published: March 2024

The Periodic Table of the Elements of Green and Sustainable Chemistry (PT-GSC) represents a potentially meaningful tool for teaching and learning Green Chemistry. However, there is a lack of studies exploring the application of the PT-GSC in educational contexts. To contribute to filling this gap, a qualitative and participant approach was developed to examine the effects of using the PT-GSC in a high school setting, with a focus on analyzing the associated challenges and opportunities. Over a five-week period, 23 high school students enrolled in a chemistry course at a public school in Brazil worked in small groups to develop solutions for a case study addressing socio-scientific issues related to water scarcity in the local region using elements from the PT-GSC. Results from both the pre- and post-questionnaires, along with the written case study resolutions, provide evidence of the students’ knowledge gains, particularly in critical scientific literacy for Green and Sustainable Chemistry Education. The findings showed that the PT-GSC is an interdisciplinary tool for introducing students to Green Chemistry concepts within the broader societal and scientific ecosystem. The implementation of novel case studies incorporating elements from the PT-GSC is a way to support our ongoing work with students and the public, contributing to a sustainable future.
Assessing the Downstream and Upstream Preferences of Stakeholders for Sustainability Attributes in the Tomato Value Chain
Authors: Menéndez i Molist Adrià , Kallas Zein , Guadarrama Fuentes Omar Vicente
Published: March 2024

Effectively implementing innovations in agri-food supply chains (AFSCs) is contingent upon stakeholders’ preferences. Using the analytic hierarchy process (AHP), the objective of this research was to ascertain the degree of willingness among farmers, consumers, and various stakeholders (including processing companies, restaurants, and retailers) in the tomato supply chain of Catalonia (Spain) to shorten the chain and promote local procurement. Based on a set of social, economic, and environmental criteria encompassing sustainability in AFSCs, the results showed that economic factors, particularly profitability and affordability, were the key driving factors in the decisions of stakeholders. However, the considerable importance placed on strategic attributes, including local production, environmental sustainability, and product quality, particularly among consumers, seemed to present a chance to advocate for sustainable alternatives, such as short food supply chains (SFSCs). The AHP methodology facilitates differentiation with respect to the criteria of the decision-making process and serves as a valuable instrument for evaluating the reception of innovations within the AFSC and categorizing the stakeholders who exhibit the greatest interest in them. In order to improve the sustainability of agri-food systems, our findings may be incorporated into strategic plans developed by policymakers.
Evaluating the Fast Frequency Support Ability of the Generation Units in Modern Power Systems
Authors: Liu Muyang , Mo Ruo , Lai Yening , Li Zhaowei , Qie Zhaohui , Zheng Hua
Published: March 2024

Modern power systems include synchronous generators (SGs) and inverter-based resources (IBRs) that provide fast frequency support (FFS) to the system. To evaluate the FFS ability of both SGs and IBRs under a unified framework, this paper proposes a method that evaluates the FFS ability of each generation unit via its dynamic trajectories of the active power output and the frequency following a contingency. The proposed method quantified FFS ability via two indexes, namely, the equivalent inertia constant and the equivalent droop, of each generation unit. The Tikhonov regularization algorithm is employed to estimate the FFS ability indexes. The New England 10-machine system serves to validate the feasibility and accuracy of the proposed method and illustrate the different FFS ability of the grid−forming and grid−following IBRs.
A Conceptual Framework Based on PLS-SEM Approach for Sustainable Customer Relationship Management in Enterprise Software Development: Insights from Developers
Authors: Khattak Kausar-Nasreen , Hassan Zohaib , Shehryar Ali Naqvi Syed , Khan Muhammad Abbas , Qayyum Faiza , Ullah Inam
Published: March 2024

Due to its significant relevance in outsourcing, the global software industry, such as enterprise software development organizations, accepted the implementation of global software development (GSD). Customers play a pivotal role in any industry, and effective customer relationship management (CRM) is instrumental in ensuring client satisfaction while developing software projects. However, software organizations operating globally often need more insight into their customers’ perspectives. These challenges give rise to a major combination for the success of the GSD projects. Organizations working globally face the key challenge of the implementation of CRM. The main objective of this paper is to investigate and understand the challenges faced by global software development organizations when implementing customer relationship management (CRM) in their enterprise software projects. This paper aims to assess how these CRM implementation challenges impact the value of enterprise software products in the context of global software development (GSD). To achieve this objective, the study employs the partial least squares-structural equation modeling (PLS-SEM) approach and conducts a systematic literature review (SLR) to identify relevant challenges. Additionally, this paper presents a conceptual framework based on the identified challenges and validates it through surveys and qualitative research with software outsourcing companies in Pakistan. The research provides valuable insights from the perspective of software developers and aims to offer practical guidance for the successful application of CRM in outsourcing.
Conservation Planning of Multiple Ecosystem Services in the Yangtze River Basin by Quantifying Trade-Offs and Synergies
Authors: Mu Yonglin , Wang Jing , Zhao Caisheng , Li Xiaowen , Liu Yongbing , Lv Jiangtao
Published: March 2024

The importance of protecting ecosystem services has been increasingly recognized due to their substantial benefits for human beings. Traditional conservation planning methods for locating and designing prioritized areas focus on high-value areas. However, ecosystem services have an intrinsic correlation of trade-offs and synergies among them; thus, solely selecting high-value areas cannot ensure efficiency in the conservation of multiple ecosystem services. Pursuing the protection of one ecosystem service may compromise the effectiveness of conserving others. Therefore, this study aims to develop a method for identifying the optimal ecosystem service protected areas in more efficient ways by quantifying the spatial relationships of ecosystem services on a local scale. We examined the correlations between all possible paired combinations of four ecosystem services using the Local Moran’s I and classified them into five cluster types in the Yangtze River Basin. To address conflicting solutions for multiple ecosystem service goals, we employed systematic conservation planning to identify priority areas for ecosystem service protection, following the principles of representativeness, complementarity, and persistence. By establishing scenarios that optimize each and all ecosystem services at target levels of 20%, 40%, 60%, and 80%, we observed that any two of the four services were positively correlated, occupying vast areas in the Yangtze River Basin. However, the high-value areas of each ecosystem service did not coincide in their spatial distributions. Under the same target, more high-value areas could be selected as the best solutions by only optimizing a single ecosystem service. The degree of overlap between priority areas varied considerably across optimizations for individual ecosystem services, particularly when setting lower targets. Our findings suggest that integrated conservation planning for all ecosystem services is more efficient than layering multiple single plans. Understanding the correlations between ecosystem services can lead to more effective management and sustainable decision making.
Quantification of the Improvement in Sustainability after a Comparative Experimental Study of Single-Family Homes with Façade Rehabilitation Using the External Thermal Insulation Composite System
Authors: Vidales-Barriguete Alejandra , Piña Ramírez Carolina , Vidales Barriguete Roberto , Arrebola Carmen Viñas , Benito Patricia Aguilera
Published: March 2024

This study emerged from the necessity to analyze the most effective energy-saving strategies within the current real estate market and substantiate their application with empirical data. Undoubtedly, the adoption of External Thermal Insulation Composite Systems (ETICSs) stands out as one of the prevalent approaches. This article presents temperature-monitoring data collected on-site from the facades of two single-family homes initially constructed with identical compositions, materials, construction dates, locations, and orientations. The thermal envelope of one home underwent rehabilitation using the ETICS, while the other remained in its original state. Continuous temperature recordings on the southern and northwestern facades of both homes were conducted using thermocouples over a 15-day period. The data analysis yielded insights into facade performance before and after this rehabilitation approach. The findings suggest that the implementation of ETICS results in more stable interior temperatures, significantly reducing indoor temperatures in comparison to outdoor conditions, leading to a notable decrease in heat energy loss. Consequently, this research underscores the tangible benefits of employing ETICS in building rehabilitation, emphasizing its role as a passive energy-saving strategy. By demonstrating the positive impact on thermal performance and energy efficiency, this study reinforces the vital connection between research endeavors and sustainability objectives.
Comparison between Electrooxidation of 1-Naphthol and 2-Naphthol in Different Non-Aqueous Solvents and Suppression of Layer Growth of Polymers
Authors: Kiss László , Szabó Péter , Kunsági-Máté Sándor
Published: March 2024

The two naphthol isomers were investigated in different organic solvents by taking cyclic voltammograms, and fouling took place on a platinum electrode surface, except for dimethyl sulfoxide and dimethyl formamide. Studies in allyl alcohol rarely used in electrochemical investigations pointed to the importance of the carbon–carbon double bond as electrode deactivation was remarkably faster compared with its saturated analog solvent. Similarly, the use of the other unsaturated solvent mesityl oxide in the electropolymerization of naphthols resulted in different findings compared with methyl isobutyl ketone. As dimethyl formamide was the best choice concerning the solubility of products, it was successfully tested in electrode renewal after deactivation in an aqueous solution. The increase in dimethyl formamide content led to more and more improved reproducibility of the currents of the outlined aromatic compounds. Naphthol isomers were assessed in the suppression of layer growth originating from the electrooxidation of another monomer phloroglucinol. Its simultaneous electrooxidation with naphthol monomers had a dramatic effect on layer morphology and it was found that instead of a coherent organic layer originating from the homopolymerization of phloroglucinol, the copolymerization with naphthols led to the development of more porous and rougher deposits. The suppressed electropolymerization thus increased sensitivity towards a chosen redox active compound, 4-methoxyphenol.
Etching and Compositional Ratio Effect on the Surface Properties of Bismuth Telluride Thin Films
Authors: Mun Jeongho , Han Sangmin , Yoon Hee-Seung , Kang Jisoo , Jonas Oliver , Park Juyun , Kang Yong-Cheol
Published: March 2024

Bismuth telluride has garnered considerable attention owing to its versatile properties applicable in thermoelectric and antibacterial domains, as well as its intriguing topological insulating properties. In this work, our group fabricated bismuth telluride thin films with various ratios using radio frequency magnetron sputtering. The surface properties of these thin films were thoroughly analyzed by employing a diverse array of analytical techniques, including X-ray photoelectron spectroscopy (XPS), ultraviolet photoelectron spectroscopy (UPS), scanning electron microscopy (SEM), atomic force microscopy (AFM), X-ray diffraction (XRD), four-point probe and contact angle (CA) measurements. Specifically, our XPS findings indicated that Bi is more susceptible to oxidation than Te following Ar+-ion etching. Pure Te thin films exhibited the highest Rq value of 31.2 nm based on AFM and SEM results due to their larger grain sizes. The XRD patterns revealed a peak at 27.75° for thin films with 20% Te, attributed to its rhombohedral structure. Moreover, thin films with 30% Te yielded the highest weighted average work function with a value of 4.95 eV after etching. Additionally, pristine Bi and Te thin films demonstrated the most robust hydrophobic properties compared to intermediate-composition thin films, as determined by CA measurements.
The Hermitian Solution to a New System of Commutative Quaternion Matrix Equations
Authors: Zhang Yue , Wang Qing-Wen , Xie Lv-Ming
Published: March 2024

This paper considers the Hermitian solutions of a new system of commutative quaternion matrix equations, where we establish both necessary and sufficient conditions for the existence of solutions. Furthermore, we derive an explicit general expression when it is solvable. In addition, we also provide the least squares Hermitian solution in cases where the system of matrix equations is not consistent. To illustrate our main findings, in this paper we present two numerical algorithms and examples.
Modified Tseng Method for Solving Pseudomonotone Variational Inequality Problem in Banach Spaces
Authors: Maluleka Rose , Ugwunnadi Godwin Chidi , Aphane Maggie , Abass Hammed A. , Khan Abdul Rahim
Published: March 2024

This article examines the process for solving the fixed-point problem of Bregman strongly nonexpansive mapping as well as the variational inequality problem of the pseudomonotone operator. Within the context of p-uniformly convex real Banach spaces that are also uniformly smooth, we introduce a modified Halpern iterative technique combined with an inertial approach and Tseng methods for finding a common solution of the fixed-point problem of Bregman strongly nonexpansive mapping and the pseudomonotone variational inequality problem. Using our iterative approach, we develop a strong convergence result for approximating the solution of the aforementioned problems. We also discuss some consequences of our major finding. The results presented in this paper complement and build upon many relevant discoveries in the literature.
An Extensive Investigation into the Use of Machine Learning Tools and Deep Neural Networks for the Recognition of Skin Cancer: Challenges, Future Directions, and a Comprehensive Review
Authors: Hussain Syed Ibrar , Toscano Elena
Published: March 2024

Skin cancer poses a serious risk to one’s health and can only be effectively treated with early detection. Early identification is critical since skin cancer has a higher fatality rate, and it expands gradually to different areas of the body. The rapid growth of automated diagnosis frameworks has led to the combination of diverse machine learning, deep learning, and computer vision algorithms for detecting clinical samples and atypical skin lesion specimens. Automated methods for recognizing skin cancer that use deep learning techniques are discussed in this article: convolutional neural networks, and, in general, artificial neural networks. The recognition of symmetries is a key point in dealing with the skin cancer image datasets; hence, in developing the appropriate architecture of neural networks, as it can improve the performance and release capacities of the network. The current study emphasizes the need for an automated method to identify skin lesions to reduce the amount of time and effort required for the diagnostic process, as well as the novel aspect of using algorithms based on deep learning for skin lesion detection. The analysis concludes with underlying research directions for the future, which will assist in better addressing the difficulties encountered in human skin cancer recognition. By highlighting the drawbacks and advantages of prior techniques, the authors hope to establish a standard for future analysis in the domain of human skin lesion diagnostics.