Sustainable Research Research Articles

Optimizing the energy values of solid biofuel through acidic pre-treatment: An evolutionary-based neuro-fuzzy modelling and feature importance analysis

The increasing focus on sustainable energy solutions and eco-friendly fuel alternatives has sparked interest in exploring methods to enhance the energy content of solid biofuels through pre-treatment processes. This study investigates the impact of acidic (H2SO4) pretreatment on the energy content of solid biofuel derived from watermelon peel waste using machine learning methods. The biofuel properties, and calorific value (CV) were determined experimentally for both H2SO4-treated and untreated biofuel samples. Subsequently, an Adaptive neuro-fuzzy inference system (ANFIS) model with Genetic Algorithm (GA) and Grid Partitioning (GP) clustering techniques was developed to predict heating value of the biofuel, with performance evaluation based on root mean square error (RMSE), mean absolute percentage error (MAPE), mean absolute deviation (MAD), Mean Absolute Error (MAE) and R2-values. The decision tree regressor was employed to evaluate the feature importance, predictive power and impact of each input variable on CV prediction based on Gini importance metrics. To establish its superior performance, the hybrid ANFIS-GA-GP model was compared with ordinary-ANFIS and ANN model using same metrics. Results show that acid-pretreatment increased the CV of the solid biofuel by 3.53 MJ/kg (31.83 % improvement) and reduced ash content by 1.77 %. FTIR analysis revealed surface modifications, and a shift in the C-O vibrational stretch, while SEM micrographs displayed denser surfaces and reduced porosity as indicated by a lesser fiber diameter in treated samples. The GP-clustered ANFIS-GA model with a triangular membership function (tri-MF) exhibited superior performance and higher accuracy (RMSE of 0.1309, MAPE of 9.343, MAD of 0.1036, MAE of 0.1110, and R2-value of 0.9773 at model training). Furthermore, a tree decision regressor identified Fixed carbon as the most significant predictor for CV with a Gini importance of 0.988375. This study demonstrates the substantial enhancement in the energy content of biofuel using acidic pre-treatment and insights into a cutting-edge approach of improving the combustion properties of solid biofuel with machine learning models. This significantly contributes to the field of sustainable bioenergy research.

Smart Agriculture Knowledge Platforms: Digital Libraries for Sustainable Research and Innovation

Smart Agriculture Knowledge Platforms: Digital Libraries for Sustainable Research and Innovation

Corporate sustainability research in marketing: Mapping progress and broadening our perspective

Corporate sustainability research in marketing: Mapping progress and broadening our perspective

Cyanobacteria: role in sustainable biomanufacturing and nitrogen fixation

AbstractCyanobacteria, renowned for their nitrogen‐fixing characteristics, are important for sustainable biomanufacturing and agricultural innovation. This review explores the synergy between cyanobacteria and nitrogen fixation, highlighting their potential to revolutionize biobased compound production and reduce the ecological impact of traditional nitrogen sources. It focuses on genetic enhancements and synthetic biology techniques, which transform these microorganisms into sustainable nitrogen providers. Current applications range from agricultural enhancement to cutting‐edge biotechnology, highlighting the important consequences of cyanobacterial nitrogen fixation. Challenges persist, however, requiring a meticulous analysis of ecological, regulatory, and scalability concerns. The untapped potential of cyanobacteria in nitrogen fixation promises a significant shift in biomanufacturing and environmental stewardship. The aim of this article is to inspire high‐impact research and transformative applications in biotechnology and sustainability.

Melt processing of biodegradable poly(butylene succinate) (PBS)—a critical review

AbstractThis review paper presents a comprehensive analysis of the melt processing of polybutylene succinate (PBS) blends and composites. PBS, a biodegradable and eco-friendly thermoplastic polyester, has garnered significant interest in sustainable material research. The paper collates and examines a wide range of studies focusing on the processability, optimization of processing parameters, and resultant mechanical properties of PBS when processed through several extrusion techniques and by injection molding. Key parameters such as melt temperature, screw speed, and mold temperature are considered for their impact on the quality and performance of the final product. The review highlights advancements in processing technologies and material modifications that enhance PBS properties, making it a viable alternative to traditional petroleum-based plastics. Furthermore, challenges and limitations in the current processing techniques are discussed, offering insights into potential areas for future research. The synthesis of findings from various studies provides a holistic understanding of the state-of-the-art in PBS processing, aiming to guide further developments in the field of biodegradable polymers. Overall, this review underscores the importance of optimized melt processing techniques in maximizing the potential of PBS as a sustainable material in diverse applications. Graphical abstract

A novel statistical framework of drought projection by improving ensemble future climate model simulations under various climate change scenarios.

Unlike other natural disasters, drought is one of the most severe threats to all living beings globally. Due to global climate change, the frequency and duration of droughts have increased in many parts of the world. Therefore, accurate prediction and forecasting of droughts are essential for effective mitigation policies and sustainable research. In recent research, the use of ensemble global climate models (GCMs) for simulating precipitation data is common. The objective of this research is to enhance the multi-model ensemble (MME) for improving future drought characterizations. In this research, we propose the use of relative importance metric (RIM) to address collinearity effects and point-wise discrepancy weights (PWDW) in GCMs. Consequently, this paper introduces a new statistical framework for weighted ensembles called the discrepancy-enhanced beta weighting ensemble (DEBWE). DEBWE enhances the weighted ensemble data of precipitation simulated by multiple GCMs. In DEBWE, we addressed uncertainties in GCMs arising from collinearity and outliers. To evaluate the effectiveness of the proposed weighting framework, we compared its performance with the simple average multi-model ensemble (SAMME), Taylor skill score ensemble (TSSE), and mutual information ensemble (MIE). Based on the Kling-Gupta efficiency (KGE) metric, DEBWE outperforms all competitors across all evaluation criteria. These inferences are based on the analysis of historical simulated data from 22 GCMs in the CMIP6 project. The quantitative performance indicators strongly support the superiority of DEBWE. The median and mean KGE values for DEBWE are 0.2650 and 0.2429, compared to SAMME (0.1000, 0.0991), TSSE (0.2600, 0.2397), and MIE (0.1550, 0.1511). For drought assessment, we computed the adaptive standardized precipitation index (SPI) for three future scenarios: SSP1-2.6, SSP2-4.5, and SSP5-8.5. The steady-state probabilities suggest that normal drought (ND) is the most frequent condition, with extreme events (dry or wet) being less probable.

Exploring the factors hindering the intention to adopt sustainable transportation options in Addis Ababa, Ethiopia: using structural equation modeling

With poor transportation infrastructure and increased reliance on motorization, fast-growing cities in the Global South that are experiencing rapid urbanization have received less attention in terms of sustainable transportation research. In this regard, it is imperative to support active mobility and public transit that help to reduce vehicle emissions, traffic congestion, road fatalities, and energy depletion while supporting public health, robust economies, and social equity. However, in the emerging cities context, the adoption of sustainable transportation options are constrained by various factors. This study aims to explore the key factors hindering the adoption of sustainable transportation options in Addis Ababa, Ethiopia. To do so, travel survey data were gathered from 720 households using stratified sampling and analyzed using factor analysis. The results from factor analysis indicated five groups of factors hindering residents’ intention to adopt sustainable transportation options, including (1) infrastructure condition, (2) modal characteristics, (3) land use pattern, (4) policy framework, and (5) technology-related factors. The confirmatory factor analysis also depicts the five latent factors and the contributions of observed variables that are statistically significant (p < 0.01). More specifically, observed variables such as (i) inadequate pedestrian facilities, (ii) lack of bike facilities, (iii) poor public transit facilities, (iv) limited availability of reliable public transport, (v) long wait times, (vi) high public transport fare, (vii) discomfort, (viii) safety and security issues are the most significant factors. Another set of factors includes (ix) walking distance, (x) dispersed land use pattern, (xi) poor land use mix, (xii) inadequate policy support, and (xiii) lack of real-time information. Furthermore, the intention to adopt sustainable modes of transportation is influenced by socio-demographic characteristics such as gender, age, educational status, income, family size, and car ownership. The result contributes to the existing literature by providing insight into adopting sustainable transportation modes in emerging cities like Addis Ababa, which are characterized by several urban transportation challenges.

Challenges and Solutions for Sustainable ICT: The Role of File Storage

Digitalization has been increasingly recognized for its role in addressing numerous societal and environmental challenges. However, the rapid surge in data production and the widespread adoption of cloud computing has resulted in an explosion of redundant, obsolete, and trivial (ROT) data within organizations’ data estates. This issue adversely affects energy consumption and carbon footprint, leading to inefficiencies and a higher environmental impact. Thus, this opinion paper aims to discuss the challenges and potential solutions related to the environmental impact of file storage on the cloud, aiming to address the research gap in “digital sustainability” and the Green IT literature. The key findings reveal that technological issues dominate cloud computing and sustainability research. Key challenges in achieving sustainable practices include the widespread lack of awareness about the environmental impacts of digital activities, the complexity of implementing accurate carbon accounting systems compliant with existing regulatory frameworks, and the role of public–private partnerships in developing novel solutions in emerging areas such as 6G technology.

Research and practice of sustainability in Mexican higher education: The case of university of Sonora

Research and practice of sustainability in Mexican higher education: The case of university of Sonora

Advancing Global Social Change: Systems Approaches to the Role of Nonprofits in Climate Policy

Abstract The existential threat of climate change requires reimagining foundational aspects of society, including jobs, transportation, energy, the built environment, natural resources, health, and water and food supplies. We argue that to realize such broad scale change requires systems thinking. In this introduction to the special issue on Nonprofits and Climate Policy, we outline four systems-based views of global social change, organized by source of change and assumptions about the technical rationality of the system: engineering, evolutionary, social constructivist, and (critical) realist. By elaborating this framework, we shed light on the fundamental assumptions embedded in climate advocacy and policymaking. Along with describing key scholarship and practice-based examples for each approach, we align the articles in this special issue with the four views of global social change to inspire systems-based research and practice at the nonprofit and climate policy intersection. We hope that creating more explicit accounts of the key beliefs and expectations about how social change occurs at a global systemic level will help to advance research and practice in sustainability.

A compass for sustainability? Semiconductors, rare earths and CSR: the case of onsemi

AbstractSemiconductors are a rampant ICT sector utilized in everyday life for electronic devices. This industry provides plentiful income to multinational corporations (MNCs) but has been put in the spotlight for its tremendous social, ecological, and political impact. The figures become dramatic in sub-Saharan Africa and developing countries, which have abundant resources but poor working conditions and abrupt environmental degradation. In this interplay, rare earths have become leading assets for companies and governments and are highly debated for their controversial nature; thereby, corporate social responsibility (CSR) and environmental practices turn pivotal. This work aims to connect the bountiful industrial sector of semiconductors with rare earths governance and CSR. To this end, this inquiry critically scrutinizes these three assets, analyzing the case study of onsemi as a business case and launching selected strategic and policy perspectives. This paper reviews these three concepts and conducts a content analysis on onsemi CSR Report and Annual Sustainability Report. The literature review emphasizes the increasing importance of these three topics within the mineral economics and sustainability research. The company analyzed produced cogent reports but supplementary information is needed to better understand its results within the semiconductors and extractive industry. This may help determining key achievements and areas for improvements in the private sector for REE sustainability, CSR and environment, social and governance (ESG) results and disclosure. The availability and governance of rare earths will determine decisive sustainability directions of utmost priority for geopolitical equilibria. The undertaken corporate and institutional strategies will lean toward dramatically diverse scenarios.

Trends in Sustainable Tourism Paradigm: Resilience and Adaptation

In recent decades, sustainable tourism has emerged as a central paradigm, attracting growing scholarly interest. External factors, such as the SDGs, climate change agendas, smart and digitalized tourism, cyber and astronaut travel, pandemics, and shifting trends in economic competitiveness, mass tourism, and overtourism, are shaping the 21st-century paradigmatic landscape, challenging both the theoretical “what” and practical “how” of the sustainable tourism paradigm. Using Kuhn’s paradigmatic framework and the Web of Science bibliometric database from 1991 to 2022, this analysis traces trends in sustainable tourism research, advances in academic communication through influential co-citation networks and interdisciplinarity, and the emergence of alternative and quasi-paradigms. The findings suggest, first, a positive trend in tourism scholarly research production; second, weak and diverse communication and interdisciplinarity, as scholars do not sufficiently collaborate in co-citations; and third, the coexistence of the sustainable tourism paradigm with numerous alternative, rival, and quasi-paradigms. The lack of influential knowledge communication highlights the need for the academic tourism community to reconsider its knowledge generation practices. Enhanced collaboration through co-citation and interdisciplinary cooperation is crucial for fostering a deeper and shared understanding of multiple tourism-related concepts. Further thematic and interactive research is needed on the resilience and adaptability of the sustainable tourism paradigm. This article contributes to advancing sustainable tourism scholarship by advocating for a more influential and adaptable paradigm to ensure its relevance amidst emerging challenges.

Modeling the impact of BDA-AI on sustainable innovation ambidexterity and environmental performance

Data has evolved into one of the principal resources for contemporary businesses. Moreover, corporations have undergone digitalization; consequently, their supply chains generate substantial amounts of data. The theoretical framework of this investigation was built on novel concepts like big data analytics—artificial intelligence (BDA-AI) and supply chain ambidexterity’s (SCA) direct impacts on sustainable supply chain management (SSCM) and indirect impacts on sustainable innovation ambidexterity (SIA) and environmental performance (EP). This study selected employees of manufacturing industries as respondents for environmental performance, sustainable supply chain management, big data analytics, artificial intelligence, and supply chain ambidexterity. The results from this study show that BDA-AI and SCA significantly affect SSCM. SSCM has significant associations with SIA and EP. Finally, SIA has a significant impact on EP. According to the results indicating the indirect impacts, BDA-AI has significant indirect relationships with SIA and EP by having SSCM as the mediating variable. Furthermore, SCA has significant indirect associations with SIA and EP, with SSCM as the mediating variable. Additionally, both BDA-AI and SCA have significant indirect associations with EP, while SIA and SSCM are mediating variables. Finally, SSCM has an indirect association with EP while having SIA as a mediating variable. The findings of this paper provide several theoretical contributions to the research in sustainability and big data analytics artificial intelligence field. Furthermore, based on the suggested framework, this study offers a number of practical implications for decision-makers to improve significantly in the supply chain and BDA-AI. For instance, this paper provides significant insight for logistics and supply chain managers, supporting them in implementing BDA-AI solutions to help SSCM and enhance EP.

Exploring Electric Vehicle Patent Trends through Technology Life Cycle and Social Network Analysis

In response to environmental and energy challenges, electric vehicles (EVs) have re-emerged as a viable alternative to internal combustion engines. However, existing research lacks a comprehensive analysis of the technology life cycle of EVs in both global and South Korean contexts and offers limited strategic guidance. This study introduces a novel approach to address these gaps by integrating the S-curve model with social network analysis (SNA), time series analysis, and core applicant layouts. The study specifically utilizes the logistic curve to model technology growth. It applies SNA methods, including International Patent Classification (IPC) co-occurrence analysis and the betweenness centrality metric, to identify the stages of technological development and sustainable research directions for EVs. By analyzing patent data from 2004 to 2023, the study reveals that EV technologies have reached the saturation phase globally and in South Korea, with South Korea maintaining a two-year technological advantage. The research identifies sustainable research directions, including fast charging technology and charging infrastructure, battery monitoring and management, and artificial intelligence (AI) applications. Additionally, the study also determined the sustainability of these research directions by examining the sustainability challenges faced by EVs. These insights offer a clear view of EV technology trends and future directions, guiding stakeholders.

Capacity building for road safety in LMICs: the need for a sustainable local knowledge and research infrastructure

Road crashes continue to be a major cause of death and serious injury for low- and middle-income countries (LMICs). At the global level, 90% of traffic fatalities occur in these countries with a dramatic daily amount of 3 260 road deaths, many of whom are children. The first UN Decade of Action for Road Safety 2011–2020 was designed to develop a massive movement towards a decrease of these numbers. This resulted in many initiatives to introduce the safe system approach in LMICs, i.e. to implement road safety management, make roads, road users, and vehicles safer, and improve post-crash health care. International organisations together with NGOs and universities prepared road safety guides and manuals, gave courses and webinars, introduced auditing and inspection systems, with the overall intention to build capacity in LMICs. Together these actions contributed to a variety of road safety developments in LMICs but the overall results were still modest. At the third Global Ministerial Conference on Road Safety in Stockholm, 2020, and in the Global Status report by the World Health Organization, 2023, the results of all efforts were presented and evaluated. Many countries made progress through road safety management and better legislation addressing risk factors such as speeding, drinking and driving, failing to use seatbelts, and poor infrastructure design. However, the reduction in road deaths strongly lagged behind the original goals. Continued implementation of programs and development of new approaches are needed to make a breakthrough, and to reach the goals of the 2nd Decade of Action, i.e. a 50% reduction in fatalities by 2030, and the same percentage reduction in injuries. The present position paper argues that despite the enormous amount of road safety information, which has been and is ‘sent’ to LMICs, and despite the quality and robustness of international organisations behind these programs, there is a shortfall in the scale of the knowledge and research infrastructure currently existing in LMICs, which is needed to ‘receive and transfer’ this knowledge. In order to develop evidence-based policy, LMICs need research programs that are able to transfer safe system principles to the local context and culture. Several literature overviews illustrate the lack of such research in LMICs, i.e. the limited number of programs at local universities and research institutes. Although recently initiatives have been taken in some countries, the implementation of such programs is urgently needed. Based on this observation we call on international organisations to establish a special program for the development of a sustainable road safety knowledge and research infrastructure in LMICs. Such structural local capacity is a prerequisite to translate international road safety knowledge into local guidelines and to develop an evidence-based road safety policy. Most importantly, this local infrastructure will give countries a national knowledge bank, thus providing them with an urgently needed sustainable road safety memory.

Innovating in sustainability research: grassroot approaches to carbon footprinting

How process mapping can be used to create and improve sustainable surgical practices.

Expanding community-based participatory action research practices to clubhouses through sustainable research activities.

There is growing utilization and acknowledgement of the benefits of community-based participatory action research (CBPAR) in advancing health practices and equity. However, the sustainability and full impact of CBPAR in health care settings faces many obstacles and limitations. The present article examines the synergies between CBPAR and Clubhouse programs, presents the demonstration and ongoing implementation of sustainable CBPAR practices at Fountain House in New York City, and offers lessons learned for other Clubhouses and similar programs seeking to integrate CBPAR. Alignment in practice and principles between CBPAR and Clubhouse programs are presented. The innovation and ongoing sustainable CBPAR practices in the Fountain House Clubhouse program are examined with a contribution of practice guidance for other Clubhouse and similar programs in further adopting and learning CBPAR into participatory health practices. Clubhouse psychosocial rehabilitation programs present structurally conducive settings for the success and sustainability of CBPAR activities and projects. The Fountain House examination and demonstration of integrating CBPAR sustainably into core Clubhouse programming presents opportunities for further integration, research, and practice guidance in uniquely leveraging features of the Clubhouse model to advance health equity and rehabilitative outcomes through CBPAR. The opportunity for incorporating structural CBPAR activities within Clubhouse programs can be informed by the experience, processes, and lessons applied in the Fountain House example. Further research into the rehabilitation, program, and equity benefits of Clubhouse and CBPAR integration could uniquely contribute to the advancement of sustainable participatory research practices across the mental health field generally. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Identification and characterization of particle clusters in fluidized beds via image processing technique: Method development and assessment

Clusters have a significant impact on gas–solid hydrodynamics, thus have garnered sustained research efforts for several decades. Recently, the image processing technology has been popularly used in characterizing clusters due to its non-invasive nature and high spatiotemporal resolution. This study introduced an innovative method for cluster identification by utilizing non-local means filtering and the maximum between-cluster variance. An exhaustive evaluation of image processing-based identification techniques was conducted using the flow data from CFD-DEM simulations. The approach can accurately reproduce the cluster dynamics throughout the entire bed without the need of manual adjustments, whereas traditional global threshold methods often fall short in reliably predicting clusters with low concentration or larger size. At lower gas velocities, there is a clear correlation between cluster characteristic parameters, while this type of relationship diminishes at higher gas velocities. Furthermore, clusters at different horizontal positions exhibit distinct morphologies and movement patterns.

АКТУАЛЬНОСТЬ ФОРМИРОВАНИЯ И СОДЕРЖАНИЕ ИССЛЕДОВАТЕЛЬСКОЙ КУЛЬТУРЫ БУДУЩЕГО ИНЖЕНЕРА

The innovative and economic development of the state directly depends on the availability of qualified engineering personnel capable of introducing new technologies. Countries with a solid and extensive base for the development of innovative engineering solutions today occupy leading positions in key industries, easily adapting to dynamic changes in global economic conditions. The formation of a sustainable research culture is an important aspect of the development of higher engineering education in the Russian Federation. In order to achieve the technological sovereignty of the country, the educational paradigm of higher engineering education is also changing, shifting its emphasis towards the development of research culture, technical creativity, and independence in carrying out research projects. Research culture is crucial for solving many other social problems and developing technologies to improve the quality of life in modern society. The culture of research and innovation is aimed at the acquisition by future engineers of the competencies, engineering and scientific thinking that are necessary to solve complex technical problems of the future. Understanding these provisions is of great importance for educating a new generation of engineers who are ready to make a significant contribution to the development of the state, science and society.

Lessons from the pandemic: An innovative scheme to support research in the North West Coast

In 2021, a Clinical Research Fellow (CRF) scheme was created to serve the North West Coast (NWC) region in line with the key health priorities set out by the Clinical Research Network. Five doctors in pre-specialist training were placed in NHS trust research departments across the NWC. The scheme aimed to provide early career research experience while also enhancing the provision of research across the region. The CRFs were involved in writing clinical trial grant applications and study protocols, with the scheme providing additional experience in leadership roles and time management. In addition, the CRF scheme has had a positive impact in adopted NHS trusts, which have seen their overall research capacity and capability improve, through increased flexibility and medical oversight. Research departments have benefited from increased financial income and improved national reputations. Overall, this real-world experience provided a vital ‘foot in the door’, which is essential for research-interested medics to advance in a future academic career. In the wider NWC region, the CRF scheme successfully delivered achievable and financially sustainable research. Innovative programmes such as this one should be seen as a viable option for research provision through the NHS, in the UK.