Sustainable Development Goal 9: Industry, Innovation and Infrastructure (37589)

The construction industry faces a significant crisis with rising suicide rates and mental health issues among workers. Addressing these challenges requires both systemic changes in work practices and improved access to mental wellness resources. However, there is limited research on the perceptions of both workers and senior management towards proposed solutions to reducing psychological distress experienced in occupational settings. Understanding these perceptions is crucial to determining the needs and acceptability of different wellness interventions. Thus, this study aimed to uncover preferences for validated wellness interventions in occupational settings by exploring the attitudes of 12 senior managers and 15 frontline workers using Q-Methodology. Findings revealed that frontline workers favored personalized wellness interventions tailored to their unique situations. Additionally, notable differences were identified between frontline workers and senior managers in their views on policies and practices aimed at reducing workload pressures and enhancing accountability and communication. The data also showed that current contracting and work practices potentially hinder the implementation of interventions perceived to be most beneficial by workers and senior managers. These results provide valuable insights for future research and offer guidance to organizations on designing, implementing, and communicating effective wellness interventions. Full article

The accurate and efficient detection of printed circuit board (PCB) surface defects is crucial to the electronic information manufacturing industry. However, current approaches to PCB defect detection face challenges, including large model sizes and difficulties in balancing detection accuracy with speed. To address these challenges, this paper proposes a novel PCB surface defect detection algorithm, named DVCW-YOLO. First, all standard convolutions in the backbone and neck networks of YOLOv8n are replaced with lightweight DWConv convolutions. In addition, a self-designed C2fCBAM module is introduced to the backbone network for extracting features. Next, within the neck structure, the C2f module is substituted with the more lightweight VOVGSCSP module, thereby reducing model redundancy, simplifying model complexity, and enhancing detection speed. By enhancing prominent features and suppressing less important ones, this modification allows the model to better focus on key regions, thereby improving feature representation capabilities. Finally, the WIoU loss function is implemented to replace the traditional CIoU function in YOLOv8n. This adjustment addresses issues related to low generalization and poor detection performance for small objects or complex backgrounds, while also mitigating the impact of low-quality or extreme samples on model accuracy. Experimental results demonstrate that the DVCW-YOLO model achieves a mean average precision (mAP) of 99.3% and a detection speed of 43.3 frames per second (FPS), which represent improvements of 4% and 4.08%, respectively, over the YOLOv8n model. These results confirm that the proposed model meets the real-time PCB defect detection requirements of small and medium-sized enterprises. Full article

Digital twin is an attractive technology for the representation of objects due to its ability to produce precise measurements and their geovisualisation. Of special interest is the application and fusion of various remote sensing techniques for shallow river and inland water areas, commonly measured using conventional surveying or multimodal photogrammetry. The construction of spatial digital twins of river areas requires the use of multi-platform and multi-sensor measurements to obtain reliable data of the river environment. Due to the high dynamics of river changes, the cost of measurements and the difficult-to-access measurement area, the mapping should be large-scale and simultaneous. To address these challenges, the authors performed an experiment using three measurement platforms (boat, plane, UAV) and multiple sensors to acquire both cloud and image spatial data, which were integrated temporally and spatially. The integration methods improved the accuracy of the resulting digital model by approximately 20 percent. Full article

The manipulator has been widely used in the wood processing industry; the main problem currently faced is optimizing the motion trajectory to enhance the processing efficiency and operational stability of the woodworking manipulator and worktable. A 5-7-5 piecewise polynomial interpolation method is proposed to construct the spatial trajectories of each joint. An improved non-dominated sorting genetic algorithm (INSGA-II) is proposed to achieve a time–jerk multi-objective trajectory planning that can meet the dual requirements of minimal processing time and reduced motion impact. In order to address the limitations of the standard NSGA-II algorithm, which is prone to local optima and exhibits slow convergence, we propose a good point set method for multi-objective optimization population initialization and a linear ranking selection method to refine the parent selection process within the genetic algorithm. The improved NSGA-II algorithm markedly enhanced both the uniformity of the population distribution and convergence speed. In practical applications, selecting suitable weightings to construct a normalized weight function can identify the optimal solution from the Pareto frontier curve. A high-order continuous and smooth optimal trajectory without abrupt changes can be obtained. The simulation results demonstrated that the 5-7-5 piecewise polynomial interpolation curve effectively constructed a high-order smooth processing trajectory with continuous and smooth velocity, acceleration, and jerk, free from discontinuities. Moreover, the INSGA-II algorithm outperforms the original algorithm in terms of convergence and distribution, enabling the optimal time–jerk multi-objective trajectory planning that adheres to constraint conditions. Optimized by the improved NSGA-II algorithm, the optimal total running time is 4.5400 s, and the optimal jerk is 17.934 $\mathrm{m}\left(\mathrm{r}\mathrm{a}\mathrm{d}\right)/{\mathrm{s}}^3$. This provides a novel approach to solving the inefficiencies and operational instability prevalent in traditional woodworking equipment. Full article

The application of recycled concrete aggregates (RCAs) has become increasingly popular for different types of structures, as presented in several studies. However, depending on the type of structure and the region, RCAs might have different properties. This study aims to investigate the application of RCAs of different origins for substructure layers of the cycle paths located in Central Europe, which was not analysed previously. Recycled aggregates from an airport, road overpass, and building demolition were tested according to European standards and used to produce concretes, in which compressive strength, density, water absorption, and frost resistance were tested. After 28 days, RCA concrete had compressive strengths from 5.9 to 17.3 MPa and frost resistance ratios close to 1.0. The concrete parameters indicate that RCAs might be used for the construction of cycle path substructural layers with the appropriate class of cement and W/C ratio. To meet the requirements of EN 12390-3 to achieve class C8/10, RCA concrete with CEM II B/V 32.5 should be used with a W/C ratio of 1. To meet the requirements of D-04.05.01v02, RCA concrete with CEM II B/V 32.5 and a W/C ratio smaller than 1.50 should be used. Applying recycled RCAs in various structures helps protect natural resources by reusing materials. However, the variability in RCA properties requires testing to guarantee quality. Full article

Rapid economic growth in China has brought about a significant challenge: the widening gap in regional development. Addressing this disparity is crucial for ensuring sustainable development. However, existing studies have largely overlooked the intrinsic spatial and temporal dynamics of regional disparities on various levels. This study thus employed five advanced multiscale geographically and temporally weighted regression models—GWR, MGWR, GTWR, MGTWR, and STWR—to analyze the spatio-temporal relationships between ten key conventional socio-economic indicators and per capita GDP across different administrative levels in China from 2000 to 2019. The findings highlight a consistent increase in regional disparities, with secondary industry emerging as a dominant driver of long-term economic inequality among the indicators analyzed. While a clear inland-to-coastal gradient underscores the persistence of regional disparity determinants, areas with greater economic disparities exhibit pronounced spatio-temporal heterogeneity. Among the models, STWR outperforms others in capturing and interpreting local variations in spatio-temporal disparities, demonstrating its utility in understanding complex regional dynamics. This study provides novel insights into the spatio-temporal determinants of regional economic disparities, offering a robust analytical framework for policymakers to address region-specific variables driving inequality over time and space. These insights contribute to the development of targeted and dynamic policies for promoting balanced and sustainable regional growth. Full article

The extensive development of construction, in which cement concrete remains the key composite, enforces the need for particular environmental concerns. This applies to aspects, including ecological challenges in the cement industry and the rational use of natural construction aggregates. This review article focuses on new trends in the use of waste aggregate, with particular emphasis on concrete recycled aggregate and waste sands. The state of the art was analysed, including many years of own studies on modification of properties of waste aggregate and concrete composites made from it. It was assessed that among possible ways of quality improvement of RCA, the most promising for the macro scale seems to be carbonation, unlike biodeposition. The latter, novel and undoubtedly interesting from a scientific viewpoint, has not been studied sufficiently, and the real obstacle is the cost of its implementation in practice. Multi-recycling, the pioneering proposal of recycled concrete aggregate management, can be viewed only in the ecological context for the moment. The use of waste sands from hydroclassification combined with steel fibres is the closest to implementation for constructional purposes in engineering practice. Full article

The increasing challenges related to the reliability and durability of steel pipeline infrastructure necessitate a detailed understanding of degradation and failure mechanisms. This study focuses on selective corrosion and erosion as critical factors, analyzing their impact on pipeline integrity using advanced methods, including macroscopic analysis, corrosion testing, microscopic examination, tensile strength testing, and finite element method (FEM) modeling. Selective corrosion in the heat-affected zones (HAZs) of longitudinal welds was identified as the dominant degradation mechanism, with pit depths reaching up to 6 mm, leading to tensile strength reductions of 30%. FEM analysis showed that material loss exceeding 8 mm in weld areas under standard operating pressure (16 bar) induces critical stress levels, risking pipeline failure. Erosion was found to exacerbate selective corrosion, accelerating degradation in high-stress zones. Practical recommendations include the use of corrosion-resistant materials, such as duplex steels, and implementing integrated monitoring strategies combining non-destructive testing with FEM-based predictive modeling. These insights contribute to developing robust preventive measures to ensure the safety and longevity of pipeline infrastructure. Full article

Urbanization is a major driver of land-use change, with significant implications for sustainable development in rapidly growing cities. In this study, we assess the spatiotemporal patterns of urban expansion in Lucknow, India, from 1991 to 2021, using geospatial techniques and Landsat satellite imagery. The key objective is to analyze urban growth patterns, identify contributing factors, and evaluate the sustainability implications of these trends. Results reveal a nearly fivefold increase in built-up area, from 53.86 km² in 1991 to 261.45 km² in 2021. Edge development accounted for 55.99% of total urban expansion from 1991 to 2001, while ribbon development increased from 18.06% to 21.03% by 2021. Leapfrog development, considered unsustainable, rose from 12.35% in 1991 to 17.35% in 2021. Compared to previous studies, findings highlight the significant influence of transportation infrastructure and industrialization on urban sprawl, particularly in the northeastern and northwestern zones. This study contributes by offering a zone-wise analysis of growth patterns, which provides deeper insights into the dynamics of urban expansion. The findings are crucial for urban planners, as they suggest the need for more stringent zoning regulations and targeted infrastructure investments to manage future growth sustainably while minimising environmental impact. Full article

The study area is a densely populated residential zone located in central Mexico, characterized by a semi-arid climate and diverse land uses, including domestic, commercial, and services. In the study area, water demand is assessed based on land use requirements set by national and local regulations, and an urban configuration pinpoints spaces suitable for rainwater harvesting for self-consumption. This research proposes indicators based on urban, demographic, and hydrological parameters to assess the effectiveness of low-impact development (LID) techniques, such as rooftop rainwater harvesting, aimed at reducing water scarcity in a residential area vulnerable to water shortages in a semi-arid city in the Global South. Additionally, hydrological design conditions are defined to estimate the potential volumes of recoverable water. Indicators for infiltrated water, available water for consumption, runoff water, and sufficient water are established. This framework enables the development of strategies to mitigate water scarcity and improve water management in the area. Full article

The basic helix–loop–helix (bHLH) family members are involved in plant growth and development, physiological metabolism, and various stress response processes. Pinus massoniana is a major turpentine-producing and wood-producing tree in seasonally dry areas of southern China. Its economic and ecological values are well known. The forestry industry holds it in exceptionally high regard. Drought severely limits the growth and productivity of P. massoniana, and the functional role of PmbHLH58 in drought stress is not clear. Therefore, PmbHLH58 was cloned from P. massoniana and its bioinformation was analyzed. Subcellular mapping of the gene was performed. The biological function of PmbHLH58 overexpression in Populus davidiana × P. bolleana was studied. The results show that the drought tolerance of PmbHLH58-overexpressed poplar was significantly improved, which may be due to the increase in water use efficiency and reactive oxygen species (ROS) accumulation under drought stress. In an ethylene-responsive manner, PmERF71 interacted with the PmbHLH58 protein, which was found by yeast two-hybridization. We further demonstrated that the drought-induced PmbHLH58 transcription factor increased the expression of key enzyme genes in ABA receptor family genes in PmbHLH58-overexpressing poplar lines (OE). These findings provide new insights into transcriptional regulation mechanisms related to drought stress and will promote the progression of the genetic improvement and plantation development of P. massonsiana. Full article

This paper reviews recent advances in the synthesis of cobalt-free high-strength tungsten carbide (WC) composites as sustainable alternatives to conventional WC-Co composites. Due to the high cost of cobalt, limited supply, and environmental concerns, researchers are exploring nickel, iron, ceramic binders, and nanocomposites to obtain similar or superior mechanical properties. Various synthesis methods such as powder metallurgy, encapsulation, 3D printing, and spark plasma sintering (SPS) are discussed, with SPS standing out for its effectiveness in densifying and preventing WC grain growth. The results show that cobalt-free composites exhibit high strength, wear and corrosion resistance, and harsh environment stability, making them viable competitors for WC-Co materials. The use of nickel and iron with SPS is shown to enable the development of environmentally friendly, cost-effective materials. It is emphasized that microstructural control and phase management during sintering are critical to improve a material’s properties. The application potential of these composites covers mechanical engineering, metallurgy, oil and gas, and aerospace, emphasizing their broad industrial relevance. Full article

This paper investigated the effect of automation processes in an industrial company engineering complex cyber-physical systems. The authors used an industry-as-laboratory approach as the research method, exploring an ongoing development project. The automation efforts focused on four areas: (1) test setup, (2) test execution, (3) test result analysis, and (4) documentation. All four areas showed promising results on increased effectiveness and/or efficiency. In particular, the automation of test result analysis will help the industrial company, KONGSBERG, reduce their main bottleneck in the test process, as well as reduce the risk of costly project delays. An automated system integration test process, facilitating iterative regression testing, will leverage the efficiency of the verification test process. Full article

This study examines the factors that lead students to consider or avoid a career in sales, focusing on behaviors and preferences during the transition period following the peak of the COVID-19 pandemic. Conducted in 2021, the study captures how the pandemic has changed traditional aspects of sales work, such as face-to-face interaction, and explores the lasting impact of these changes on young professionals. A sample of 671 business and engineering students participated in an online survey; data analysis was performed by using Partial Least Squares Structural Equation Modeling (SEM-PLS). Results show that intrinsic and social motivations enhance the perceived attractiveness of a sales career, which, in turn, impacts career intentions. Although empathy and COVID-19-related fears lack a direct effect on the intention to pursue a sales career, digital skills reinforce the connection between job attractiveness and career intentions in a digital-centric environment, having a moderating role. These findings emphasize the evolving nature of sales careers, highlighting the need to align career development strategies with young people’s intrinsic motivation and digital competencies. This study adds to the understanding of motivational factors in sales career decisions and offers valuable insights for employers seeking to attract motivated talent in a shifting industry landscape. Full article

Climate change will lead to widespread adverse global impacts on nature, people and economies. The importance of gender in tackling climate change is becoming increasingly evident, with the Paris Agreement highlighting this. According to the evidence base, women typically show higher levels of concern and action towards climate change within the general public, within politics and on company boards. However, few studies have investigated the influence of gender on climate concerns and action within the workforce. The construction industry is one of the biggest emitters of greenhouse gases; therefore, this is a key sector to focus on with respect to decarbonisation. Simultaneously, construction is dominated by men and has significant gender inequity issues. Given the importance of including women in climate change decisions, it is important to assess construction employees’ knowledge and awareness regarding this key issue. Quota and snowball sampling techniques were used to recruit UK-based participants (n = 30) from a large engineering/construction company to explore the perceived concern, importance and action towards climate change, and qualitative analysis using NVivo 14 software was employed to identify key themes. This qualitative work provides initial important insights for an industry with one of the largest carbon footprints in the world and that also reports significant gender inequities. Full article

It is estimated that in the construction industry, cement production contributes to 7% of global CO₂ emissions. Because of this, alternative materials, including biological resources and wastes, are being explored to determine their viability as substitutes for conventional concrete aggregates. This study investigates the feasibility of using green mussel shells (GMSs) as a partial cement replacement and chitosan derived from milkfish scales as an additive in concrete. Addressing environmental concerns tied to cement production, the research evaluates the potential of GMSs and chitosan to enhance mortar and concrete properties. This study was conducted in two phases: phase one focused on mortar with varying percentages of GMSs (0%, 5%, 10%, 15%, and 20%) and chitosan (0%, 0.25%, 0.50%, 0.75%, and 1%), while phase two applied the phase one results that resulted in the highest compressive strength of concrete. The results indicate that 10% GMS and 0.25% chitosan improved mortar strength by 38.74%, although high GMS levels reduced workability. In concrete, 10% GMS without chitosan decreased compressive strength by up to 47% due to magnesium impurities in GMSs, verified by FTIR analysis. This study highlights GMSs’ and chitosan’s potential but emphasizes impurity management for its application feasibility. Full article

The emergence of smart campuses marks a pivotal advancement in educational pedagogy, environmental quality, resource allocation, and administrative services. This study presents the conceptualization and implementation of the Nanxun Campus of Zhejiang University of Water Resources and Electric Power (ZJWEU), which serves as an exemplary smart water initiative. Adhering to the philosophy of integrating educational facilities within the campus infrastructure, the campus incorporates several specialized zones: a key protection area, the water conservation area, the ecological stability area, the living water spirit area, and the teaching and practice area. This study clarifies the unique attributes, design philosophies, and operational mechanisms of these distinct zones. Central to the campus’s identity is a water culture-centric strategy, with each building reflecting water-themed concepts and providing extensive real-world engineering teaching and practice environments. Since its opening in 2022, the campus has been admitting approximately 5000 students annually and has been a model of water culture campuses that integrate ecology, intelligence, humanism, and synergy. The insights and infrastructure provide a valuable reference and foundational support for the evolution of smart campuses, underscoring the potential to merge water culture with avant-garde educational practices. Full article

Efficient logistics is a key factor in the competitiveness of seaports, especially in regions such as the Baltic Sea, where ports play important roles as hubs in the European Union’s Trans-European transport network (TEN-T). However, there are a lack of comprehensive studies focusing on the logistics efficiency of Baltic Sea ports, especially those integrating technical and technological factors. This study aimed to assess changes in the logistics efficiency of 15 major ports in the Baltic Sea region between 2019 and 2023, taking into account the technological and infrastructure-related elements that influence port performance. The model developed by the authors integrates the nearest neighbour method for cluster identification, data envelopment analysis using the Banker, Charnes, and Cooper (DEA-BCC) model to assess the overall technical, pure technical, and scale logistics efficiency, and spatial autocorrelation analysis to explore spatial interactions. For the DEA-BCC model, constraints were defined for each port based on inputs (number and length of berths) and outputs (cargo and container volumes for 2019–2023). The spatial autocorrelation analysis examined the relationships among the Baltic Sea ports, container volumes, and logistic efficiency values derived from the DEA model. Recognizing the sensitivity of the weight matrix in previous studies, this paper introduced an enhanced two-factor weighting matrix that incorporated geographical distance and the port connectivity index, calculated by the United Nations Conference on Trade and Development (UNCTAD). The statistical reliability of the results was validated using z-scores and p-values. The results showed that the overall technical efficiency of the ports analysed during the period considered was 47.2%, the pure technical efficiency was 61.0%, and the average scale efficiency was around 76%, indicating that diminishing returns to scale dominated. The spatial analysis showed a strong correlation between port connectivity and efficiency, indicating that well-connected ports, such as Gdańsk and Gdynia, had a higher efficiency. The findings make a significant contribution to the understanding of the logistics efficiency of Baltic Sea ports and highlights the importance of regional cooperation, infrastructure improvements, and better connectivity strategies to improve the overall efficiency of seaports in the region. Full article

In recent years, the use of new and unique building materials to achieve green building goals has attracted a lot of attention. Optical fiber light-transmitting concrete (LTC) makes it possible for light to pass through concrete. Its ornamental value and excellent light transmission have received much attention from scholars. However, the application of optical fiber LTC in the construction industry has not yet been promoted due to the tedious preparation process and insufficient research on its mechanical properties and durability. This paper reviews the research results of optical fiber LTC in terms of product preparation, light transmission, mechanical properties, durability, and microstructures. The light transmission of optical fiber LTCs is positively correlated with fiber content and negatively correlated with fiber diameter and fiber spacing. However, how the combination of these factors affects LTC transmittance remains to be investigated. In addition to fiber parameters, cement matrix properties and other environmental factors (light intensity, incidence angle, and aging) should also be considered to explore the suitability of LTC. The fiber–matrix interface bond strength needs further investigation and efforts should be made to improve it. This paper also summarizes the future challenges and research directions of optical fiber LTC, which is expected to provide guidance for the application of optical fiber LTC. It is anticipated that fiber-optic LTC will be promoted as a new building material. Full article

As healthcare and health services become increasingly digitized, individuals with low digital health literacy (DHL) may experience inequitable care and outcomes. We explored factors impacting DHL and recommendations for improvement from community health coordinators and advisors (CHAs) in Alabama and Mississippi in United States. Semi-structured interviews were conducted with CHAs to gather insights on their perspectives on and experiences with DHL. Interviews were transcribed and analyzed using a grounded coding schema, with key barriers and recommendations mapped onto the Taplin Multi-Level Intervention model to help identify influences across various levels. Thirty-two CHAs participated, predominantly female (94%) and Black or African American (94%). At the individual level, factors involved demographic characteristics, increased patient workload, and attitudes towards technology. Social support was captured at the relationships level. At the provider level, provider–patient communication and injustices were involved, compounded by health system infrastructure and culture at the practice-setting level. Resource landscape and shared knowledge and beliefs were significant at the community level. The COVID-19 pandemic further highlighted these challenges at the societal level. CHAs provided targeted recommendations for addressing barriers at each level. CHAs identified multi-level factors contributing to DHL and emphasized levels based on comprehensive interventions. Full article

Over the last two decades, the insects-as-food-and-feed industry has rapidly emerged. Its growth is largely because insects require substantially less resources (water, food, and energy) to produce than traditional sources of animal protein, making it a sustainable alternative food option. As this industry continues to grow, veterinarians will likely be called upon to assist in identifying food safety concerns, assessing animal health, implementing biosecurity measures, and formulating/prescribing treatment protocols comparable to what we have seen with the honeybee industry and the institution of veterinary feed directives (VFDs). Similar to other agricultural markets, high animal densities and management practices put insects at high risk for infectious diseases. Veterinarians interested in working with these species will need to become knowledgeable regarding the diseases afflicting the feeder insect industry and how best to diagnose and treat pathogens of concern. Using the edible cricket industry as an example, this review will highlight health and production issues while drawing similarities to other traditional livestock operations. If the insects-as-feed-and-food industry is going to be viable, veterinary involvement will be essential to ensure that insects can be used as a safe source of food for all. Full article

This study examines how winter weather conditions influence traffic patterns for both passenger vehicles and trucks, using data collected from weigh-in-motion (WIM) stations and nearby weather monitoring sites along Alberta’s Highways 2 and 2A. To explore how snowfall and temperature affect traffic volumes, we developed Ordinary Least Squares Regression (OLSR) models. The findings indicate that passenger car volumes drop more sharply than truck volumes under increased snowfall, with the decline being particularly notable on Highway 2, a rural stretch. In contrast, Highway 2A showed an uptick in truck traffic, likely due to detours from adjacent routes with less winter maintenance. For estimating missing traffic data during severe weather, we employed both OLSR and a machine learning technique, k-Nearest Neighbor (k-NN). In comparing the two approaches, OLSR demonstrated superior accuracy and consistency, making it more effective for filling in missing traffic data throughout the winter season. The performance of the OLSR model underscores its reliability in addressing data gaps during adverse winter conditions. Additionally, this study contributes to sustainable transportation by improving data accuracy, which aids in better resource allocation and enhances road safety during adverse weather. The findings support more efficient traffic management and maintenance strategies, including optimizing winter road maintenance and improving sustainable infrastructure planning, thereby aligning with the goals of sustainable infrastructure development. Full article

Dam breach can trigger severe flood disasters, threatening life and property safety, and having long-term impacts on the environment, society, and the economy. Dam breach floods also contaminate water bodies, degrading water quality and its sustainability. This study analyzes the characteristics and trends of dam breach research using research findings included in the CNKI (China National Knowledge Infrastructure, Beijing, China) database and the Web of Science (WoS) core database. Bibliometric methods, including word frequency analysis, co-citation analysis, and clustering analysis, were applied to the retrieved data. Using the CiteSpace (v6.3.R2) visualization tool, the study conducted statistical analyses and generated maps for publication trends, research institutions, and research hotspots. The findings indicate the following. (1) From 2000 to 2023, the number of research outcomes has been continuously growing both domestically and internationally with significantly more foreign-language publications than Chinese ones. (2) Chinese research institutions, notably the Chinese Academy of Sciences and the Nanjing Hydraulic Research Institute, have substantial international influence. (3) In terms of research hotspots, Chinese studies focus on the failure mechanisms of earth-rock dams, while foreign studies emphasize dam breach flood flows. (4) Establishing numerical models has emerged as a common trend in both Chinese and foreign research. These insights help identify deficiencies in current methods and technologies, allowing for the proposal of more scientific strategies for dam safety assessment. Based on these conclusions, some insights are proposed with the aim of reducing the risk of dam breaches, ensuring sustainable water resource management and utilization, promoting environmental protection, and fostering harmonious socio-economic development. Full article

New energy vehicles have emerged as a prominent focus in the automotive industry. This study develops a comprehensive modeling specification for fuel cell systems in new energy vehicles and establishes a framework for fatigue life analysis in the frequency domain. First, a finite element model of the fuel cell system was created in accordance with established standards, followed by grid convergence analysis and grid quality correction to enhance model accuracy. Next, random vibration analysis was performed to determine the root mean square (RMS) stress distribution of the fixed plate assembly in a random vibration environment, and the results were validated through experimental tests. Finally, Miner’s linear cumulative damage rule and the rainflow distribution model for random processes were applied to predict the fatigue life of the fixed plate assembly and connecting bolts. Critical locations for potential structural fatigue were identified, and the simulation results were corroborated through fatigue testing. The findings validate the accuracy of the proposed fatigue analysis framework and offer valuable insights for the continued development of fuel cell systems. Full article

With the rapid development of the electric vehicle (EV) industry, various issues, such as the suboptimal deployment of charging facilities and inadequate distribution, hinder improvements in user satisfaction with EVs. Moreover, the interests of multiple stakeholders, including power grid companies and transportation departments, are not sufficiently addressed. To tackle these challenges, this paper proposes a comprehensive evaluation method for EV charging network service quality that integrates user satisfaction. First, considering the coupled dynamics of the EV charging network, we construct a service quality evaluation index system. Then, using a combination of the entropy weight method (EWM) and the analytic hierarchy process (AHP) with game theory, we determine the composite weights for the index system. Finally, we use the improved R-method evaluation model to theoretically verify the charging network in a particular area. The results show that the evaluation method proposed in this paper realizes differentiated evaluation for different planning schemes, highlights the weak links in the operation process of the charging network, and provides a theoretical reference for decision making about charging station planning. Full article

There is growing interest in low-temperature food processing. In the baking industry, low-temperature fermentation improves the production of natural aroma compounds, which have a positive impact on the sensory profile of the final product. The aim of this study was to develop a yeast–lactic acid bacteria starter culture that effectively ferments wheat dough at a temperature of 15 °C. The microorganisms were selected based on their enzymatic activity and ability to grow at low temperature. The fermentation activity of the yeast and mixed cultures was assessed enzymatically. The biosynthesis of volatile organic compounds was quantified using the HS-GC-MS technique. Samples fermented by S. cerevisiae D3 were characterized by the highest concentration of volatile organic compounds, especially esters. The addition of lactic acid bacteria increased not only the biosynthesis of volatile organic compounds but also the productivity of carbon dioxide during dough fermentation. Based on both dough expansion and the profile of volatile organic compounds, a mixed culture of S. cerevisiae D3 and L. brevis B46 was selected as the most effective starter for low-temperature fermentation. Full article

After a period of rapid growth, China’s pharmaceutical industry is facing multiple challenges, including insufficient innovation and severe pollution. Current research on the efficiency of pharmaceutical companies in China primarily focuses on financial or innovation aspects. Therefore, a holistic approach to operational efficiency is needed. To measure the operational efficiency of pharmaceutical companies in China more accurately and holistically, while accounting for environmental pollution, this study employs a three-stage Data Envelopment Analysis (DEA) model with undesirable outputs to evaluate efficiency across five dimensions: market performance, profitability, financial risk control, innovation, and sustainability. This approach integrates financial, innovation, and sustainability indicators to provide a more industry-specific framework for efficiency measurement. Furthermore, integrating with Stochastic Frontier Analysis (SFA) allows for revealing the impact of environmental factors on efficiency. The results show that both technical efficiency (TE) and pure technical efficiency (PTE) are relatively low in the first and third stages, with significant regional disparities. After excluding environmental factors, some regions—typically economically developed areas—showed improved overall efficiency. This indicates that the local environment in these regions is not conducive to the development of pharmaceutical enterprises. The SFA results further demonstrate that investments in education and high-level talent significantly enhance efficiency, whereas pollutant emissions and per capita income reduce operational efficiency. The findings suggest that local governments should enhance the operational efficiency of pharmaceutical enterprises by investing in education, attracting skilled talent, and improving waste infrastructure. Additionally, less efficient firms are encouraged to optimize resource allocation to achieve higher efficiency. Full article

In 44 BC, Julius Caesar established Colonia Laus Iulia Corinthiensis, strategically reviving Corinth to dominate Isthmian trade routes and extend Rome’s commercial influence eastwards. At the centre of the colony lies Temple E, an enigmatic structure with an unidentified associated cult. This study investigates the architectural characteristics of Temple E, focusing on the use of marble as the primary building material. Petrographic analysis, elemental chemical profiling (Mn, Mg, Fe, Sr, Y, V, Cd, La, Ce, Yb, U), and isotopic measurements (δ¹⁸O ‰, δ¹³C ‰) are employed to analyse marble samples from the surrounding region, exploring sourcing and construction practices. Statistical comparisons with ancient quarry databases indicate a strong reliance on locally sourced Doliana marble, underscoring the economic significance of regional quarries and suggesting the existence of a local workshop dedicated to architectural production in Roman Corinth. By integrating geological and archaeometric approaches, this study highlights Corinth’s pivotal role in the regional marble trade and its broader economic importance during the Roman Imperial period. The findings emphasise the use of local resources, illustrating a flourishing marble-working industry and enhancing our understanding of the relationship between local materials and Roman architectural practices. Full article

Adopting the circular economy can drive significant cultural and organizational changes, providing important benefits such as cost improvement, innovation, new market opportunities, quality improvement, market acceptance, and legal compliance. This paper proposes a circular product development model for packaging to integrate circular economy principles into the traditional product development process. Firstly, a systematic literature review was made to identify relevant guidelines, strategies, practices, and initiatives related to circular economy and product development and understand how they could be integrated into the stages of the product development process. These circular practices, initiatives, and strategies were incorporated into the Rozenfeld model, creating a Circular Product Development Model proposed in this study (C-PDM). This model was tested through a case study in the packaging industry located in the Curitiba region—Brazil, identifying the opportunity to incorporate 18 circular practices into the product development process. The study concludes by highlighting the potential contribution of this model to the packaging market, particularly in supporting the circular development of products, thus aligning with the broader goals of sustainability and economic efficiency. Full article

The LBS2ITS project, titled “Curricula Enrichment Delivered through the Application of Location-Based Services to Intelligent Transport Systems”, is a collaborative initiative funded by the Erasmus+ program of the European Union. The primary objectives of the project were twofold: to develop new curricula and modernize existing programs at four universities in Sri Lanka. This effort was driven by the need to align educational offerings with the rapidly evolving fields of Location-Based Services (LBSs) and Intelligent Transport Systems (ITSs). A key feature of the LBS2ITS project is its interdisciplinary approach, which draws on expertise from a range of academic disciplines. The project has successfully developed curricula that integrate diverse fields such as geomatics, cartography, transport engineering, urban planning, environmental engineering, and computer science. By blending these perspectives, the curricula provide students with a holistic understanding of LBSs and ITSs, preparing them to address complex, real-world challenges that span multiple sectors. In this paper, the curriculum development and modernization process is detailed, with a particular focus on the two key phases: teacher training and curriculum development. The teacher training phase was crucial in equipping educators with the skills and knowledge necessary to deliver the new and updated courses. This phase also provided an opportunity for teachers to familiarize themselves with the latest trends and technologies in LBSs and ITSs, ensuring that they could effectively convey this information to students. The development phase focused on the creation of the curriculum itself, ensuring that it met both academic standards and industry needs. The curriculum was designed to be flexible and responsive to emerging technologies and methodologies, allowing for continuous improvement and adaptation. Additionally, the paper delves into the theoretical frameworks underpinning the methodologies employed in the project. These include Problem-Based Learning (PBL) and Problem-Based e-Learning (PBeL), both of which encourage active student engagement and foster critical thinking by having students tackle real-world problems. The emphasis on PBL ensures that students not only acquire theoretical knowledge but also develop practical problem-solving skills applicable to their future careers in LBSs and ITSs. Furthermore, the project incorporated rigorous quality assurance (QA) mechanisms to ensure that the teaching methods and curriculum content met high standards. This included regular feedback loops, stakeholder involvement, and iterative refinement of course materials based on evaluations from both students and industry experts. These QA measures are essential for maintaining the relevance, effectiveness, and sustainability of the curricula over time. In summary, the LBS2ITS project represents a significant effort to enrich and modernize university curricula in Sri Lanka by integrating cutting-edge technologies and interdisciplinary approaches. Through a combination of innovative teaching methodologies, comprehensive teacher training, and robust quality assurance practices, the project aims to equip students with the skills and knowledge needed to excel in the fields of LBSs and ITSs. Full article

To improve the operational efficiency of electric vehicle (EV) charging infrastructure, this paper proposes a multi-stage hybrid planning method for charging stations (CSs) based on graph auto-encoder (GAE). First, the network topology and dynamic interaction process of the coupled “Vehicle-Station-Network” system are characterized as a graph-structured model. Second, in the first stage, a GAE-based deep neural network is used to learn the graph-structured model and identify and classify different charging station (CS) types for the network nodes of the coupled system topology. The candidate CS set is screened out, including fast-charging stations (FCSs), fast-medium-charging stations, medium-charging stations, and slow-charging stations. Then, in the second stage, the candidate CS set is re-optimized using a traditional swarm intelligence algorithm, considering the interests of multiple parties in CS construction. The optimal CS locations and charging pile configurations are determined. Finally, case studies are conducted within a practical traffic zone in Hong Kong, China. The existing CS planning methods rely on simulation topology, which makes it difficult to realize efficient collaboration of charging networks. However, the proposed scheme is based on the realistic geographical space and large-scale traffic topology. The scheme determines the station and pile configuration through multi-stage planning. With the help of an artificial intelligence (AI) algorithm, the user behavior characteristics are captured adaptively, and the distribution rule of established CSs is extracted to provide support for the planning of new CSs. The research results will help the power and transportation departments to reasonably plan charging facilities and promote the coordinated development of EV industry, energy, and transportation systems. Full article

Robotic construction using three-dimensional (3D) concrete printing (3DCP) offers significant potential to transform Kuwait’s construction industry, particularly in reducing waste. This study explores the feasibility of integrating 3DCP into Kuwait’s construction waste management practices by examining the perspectives of key stakeholders. Through a mixed method approach of a comprehensive literature review, a survey of 87 industry professionals, and 33 in-depth interviews with representatives from the Public Authority for Housing Welfare (PAHW), Municipality, private sector, and the general public, the study identifies both the benefits and challenges of 3DCP adoption. The findings highlight key advantages of 3DCP, including increased construction efficiency, cost savings, enhanced design flexibility, and reduced material waste. However, several barriers, such as regulatory limitations, technical challenges in adapting 3DCP to local project scales, and cultural resistance, must be addressed. Results also indicate varying levels of stakeholder familiarity with 3DCP and existing waste management practices, underscoring the need for awareness and educational initiatives. This study makes two significant contributions: first, by providing a detailed analysis of the technical and regulatory challenges specific to Kuwait’s construction sector, and second, by offering a strategic roadmap for 3DCP integration, including regulatory reform, research into sustainable materials, and cross-sector collaboration. These recommendations aim to enhance waste management practices by promoting more sustainable and efficient construction methods by achieving SDGs 9, 11, 12, and 13. The study concludes that government support and policy development will be essential in driving the adoption of 3DCP and achieving long-term environmental benefits in Kuwait’s construction industry. Full article

Educational cooperation in higher education offers valuable opportunities for students and institutions alike. However, it also introduces significant challenges, particularly regarding student enrollment processes. Traditional centralized systems for managing this task can pose issues around authority, transparency, accountability, security, and cost, often hindering scalability and sustainable growth. This paper introduces the Cross-Institutional Blockchain Enrollment System (BCHEEN), a novel decentralized platform designed to streamline and enhance cross-institutional enrollment processes. Un-like existing solutions, BCHEEN employs a unique hybrid architecture that leverages blockchain technology to ensure transparency and security while maintaining scalability through innovative off-chain data management using the “replicate when used” approach. The platform was prototyped as a permissioned blockchain platform using the Hyperledger Composer framework and evaluated through functional, performance, and security analyses using tools such as Cucumber and Hyperledger Caliper. Evaluation results show that BCHEEN achieved a peak throughput of 18 tps at a send rate of 47 tps, with an average latency of 4.32 s under the same conditions, demonstrating its scalability and reliability. Furthermore, a computational cost analysis highlights the efficiency of the “replicate when used” approach in reducing storage overhead while preserving data integrity. BCHEEN’s practical impact includes streamlining enrollment processes, reducing administrative costs, and fostering secure, scalable, and transparent inter-institutional collaboration. These contributions position BCHEEN as a transformative tool for higher education, supporting policy advancements and promoting resilience and sustainability in educational practices. Full article

The expansion of renewable energy sources (RES) is essential to achieving regional sustainability in alignment with global climate goals. This study investigates the dynamics and projected growth of RES in West Pomerania, Poland, a region with significant potential due to its geographical characteristics and supportive policy frameworks. Historical data from 2010 to 2023 were used to perform a time series analysis that evaluated the annual growth rate (AGR) of various RES technologies, including wind, solar, biomass, and biogas. The analysis revealed a consistent upward trend in RES capacity, particularly in wind and solar energy, demonstrating effective resource mobilisation in the region. Subsequently, a forecasting model was employed to project the growth of the RES capacity through 2033 based on historical trends and technological advancements. The results indicate significant anticipated increases in RES capacity, highlighting West Pomerania’s potential to reduce its reliance on fossil fuels. This growth supports increased energy security and environmental sustainability. This study addresses a notable gap in the literature by linking regional renewable energy development with broader policy frameworks, such as the European Green Deal, and exploring the specific challenges of grid integration and economic disparities in the context of local energy transitions. These findings highlight the importance of sustained investment and policy support to scale renewable infrastructure while aligning regional initiatives with international sustainability goals. By bridging this gap, this study concludes that the West Pomerania strategy can serve as a model for other regions aiming to enhance their renewable energy portfolios and effectively meet the climate goals of the EU. Full article

Decarbonization of shipping is a legal obligation imposed by the International Maritime Organization (IMO). The ferry port and daily operations located near or in urban zones negatively impact the nearby environment. The electrification of ferries contributes to reducing the negative environmental impact. The available electrical infrastructure in ports often does not meet daily needs. The ferry fleet’s sailing schedule creates a non-periodic daily energy profile to determine the energy needs of the shore connection. The proposed research aims to optimize the daily electric ferry fleet peak charging power schedule process using particle swarm optimization and a greedy algorithm. A four-stage model has been proposed, consisting of the initialization of the ferry fleet’s daily energy profile, initial population generation with input constraints, optimization, and the creation of the modified daily energy load diagram. Robustness and validation of the proposed model were investigated and proven for energy profiles with and without optimization. For the proposed charging schedule, the study results show a reduction in peak power of 24%. By optimizing the charging process, peak charging power has been reduced without needing an additional energy storage system. Full article

Production scheduling is a critical task in the management of manufacturing systems. It is difficult to derive an optimal schedule due to the problem complexity. Computationally expensive and time-consuming solutions have created major issues for companies trying to respect their customers’ demands. Simple dispatching rules have typically been applied in manufacturing practice and serve as a good scheduling option, especially for small and midsize enterprises (SMEs). However, in recent years, the progress in smart systems enabled by artificial intelligence (AI) and machine learning (ML) solutions has revolutionized the scheduling approach. Under different production circumstances, one dispatch rule may perform better than others, and expert knowledge is required to determine which rule to choose. The objective of this work is to design and implement a framework for the modeling and deployment of a deep reinforcement learning (DRL) agent to support short-term production scheduling. The DRL agent selects a dispatching rule to assign jobs to manufacturing resources. The model is trained, tested and evaluated using a discrete event simulation (DES) model that simulates a pilot case from the bicycle production industry. The DRL agent can learn the best dispatching policy, resulting in schedules with the best possible production makespan. Full article

Background/Objective: Highly pathogenic (HP) H5Nx and low-pathogenicity (LP) H9N2 avian influenza viruses (AIVs) pose global threats to the poultry industry and public health, highlighting the critical need for a dual-protective vaccine. Methods: In this study, we generated a model PR8-derived recombinant H5N2 vaccine strain with hemagglutinin (HA) and neuraminidase (NA) genes from clade 2.3.2.1c H5N1 and Y439-like H9N2 viruses, respectively. To enhance the immunogenicity of the recombinant H5N2 vaccine strain, N-glycans of the HA2 subunit, NA, and M2e were modified. Additionally, we replaced M2e with avian M2e to enhance the antigenic homogeneity of AIVs for better protection. We also replaced PR8 PB2 with 01310 PB2, which is the PB2 gene derived from an LP H9N2 avian influenza virus, to eliminate pathogenicity in mammals. The productivity of the model vaccine strain (rvH5N2-aM2e-vPB2) in embryonated chicken eggs (ECEs), its potential risk of mammalian infection, and the immunogenicity associated with different inactivation methods (formaldehyde (F/A) vs. binary ethyleneimine (BEI)) were evaluated. Results: The rvH5N2-aM2e-vPB2 strain demonstrated high productivity in ECEs and exhibited complete inhibition of replication in mammalian cells. Furthermore, compared with using F/A inactivation, inactivation using BEI significantly enhanced the immune response, particularly against NA. This enhancement resulted in increased virus neutralization titers, supporting its efficacy for dual protection against H5Nx and H9N2 avian influenza viruses. Furthermore, we demonstrated that M2e-specific immune responses, difficult to induce with inactivated vaccines, can be effectively elicited with live vaccines, suggesting a strategy to enhance M2e immunogenicity in whole influenza virus vaccines. Conclusions: Finally, the successful development of the model rH5N2 vaccine strain is described; this strain provides dual protection, has potential applicability in regions where avian influenza is endemic, and can be used to promote the development of versatile H5N2 recombinant vaccines for effective avian influenza control. Full article

Magnesium slag is a by-product of the magnesium industry. As an auxiliary cementitious material incorporated into concrete, it can make full use of waste resources and has a certain potential for hydration and carbonation. To improve the mechanical properties of the concrete, the influence mechanism and strengthening mechanism of the carbon curing method on mechanical properties of magnesium slag concrete were investigated. The effects of different magnesium slag content and water-cement ratio on mechanical properties and ecological properties of carbon cured magnesium slag concrete were analyzed. Based on the phase composition and thermogravimetric composition of magnesium slag concrete, the carbonation mechanism of magnesium slag was revealed. The mechanical properties models of magnesium slag concrete with different carbon curing were constructed. The study shows that with the increase of the magnesium slag, the mechanical properties of carbon curing concrete first increase and then decrease. The optimum mechanical properties of concrete are 30% magnesium slag, and the compressive strength reaches 42.3 MPa. The content of magnesium slag increased from 0% to 60%, and the carbon fixation content was 14.60%, 11.87%, 11.69%, 16.90%, 19.80%, 14.78%, and 13.09%, respectively. With the increase of magnesium slag content, the content and grain size of magnesium oxide in concrete increase, which leads to more micro-bumps and depressions on the surface of the concrete structure. The hydration reaction and carbonation reaction of gelled materials are affected by magnesium ions, resulting in changes in the morphology and crystal structure of CaCO₃ and MgCO₃ reactants. Full article

Social infrastructure projects (SIPs) play a critical role in fostering social and economic development in the public sector. However, SIPs often face significant challenges, partly due to a lack of research on critical success factors (CSFs) specific to these projects. Despite the importance of SIPs, scant research focuses upon enhancing SIPs’ performance. Consequently, a CSF framework is developed for improving the delivery of SIPs in South Africa. Through a quantitative survey of 124 construction professionals, the study identified key factors essential for successful SIPs delivery. Data were analysed using descriptive and inferential statistics, revealing a significant consensus among infrastructure stakeholders on CSFs needed for successful SIP delivery. Constituent elements of the framework integrate CSFs related to clients, contractors, projects and project management factors; external factors were excluded from the framework due to a lack of supporting evidence. The study offers a practical understanding for infrastructure stakeholders in South Africa to: overcome the challenges that hinder SIPs’ performance; and enhance the SIP delivery processes. Cumulatively, these palpable deliverables contribute to the nation’s social and economic development objectives. While the research is focused on South Africa, the CSFs framework could inform SIP delivery strategies in similar socio-economic and institutional contexts globally. The study reveals that SIP success depends on the identified factors and offers a structured framework for improving project outcomes. The framework highlights CSFs, including effective monitoring and timely decision-making for clients; subcontractor coordination and quality assurance for contractors; economic stability and advanced technology for projects; and team collaboration and expertise utilisation for project management. This systematic approach could enhance effective planning, execution and evaluation of SIPs, leading to more efficient delivery. However, the study’s focus on the Mpumalanga and Limpopo provinces limits the generalisability of the findings to other regions with different socio-economic and environmental conditions. Therefore, future research could explore the applicability of this framework in diverse social, political, and geographical contexts. Full article

This study integrates life cycle assessment (LCA) and system dynamics (SD) modeling to evaluate the potential of Artificial Intelligence (AI)-enhanced anaerobic ammonium oxidation (anammox) technology in industrial wastewater treatment. The research examines the environmental, economic, and social benefits of AI optimization, with a focus on its long-term implications for sustainable development. By constructing a detailed LCA model, the study analyzes the environmental impacts of wastewater treatment across its lifecycle, from raw material acquisition to final waste disposal. The integration of the SD model simulates dynamic feedback mechanisms, predicting the long-term effects of AI optimization on resource efficiency and environmental performance. Specifically, the AI system employs a convolutional neural network (CNN) to analyze real-time pollutant levels and a reinforcement learning algorithm to optimize operational parameters such as aeration rates, chemical dosing, and sludge retention time. This optimization achieves a 7.02% reduction in energy consumption, an 18% decrease in greenhouse gas emissions, and a 15% reduction in total nitrogen concentrations in treated water. Economically, AI predictive maintenance reduces operating costs by 10% and extends equipment lifespan by 20%, while socially, it enhances the public perception of corporate social responsibility, particularly in regions with stringent environmental regulations. This study underscores the effectiveness of combining LCA and SD models to evaluate sustainable wastewater treatment technologies, providing scientific evidence for policymakers and industry stakeholders to use to promote green technologies and social responsibility. Full article

Health professionals have slowly integrated the environment and green areas into their prescriptions to connect patients with nature and outdoor activities. The World Health Organization recommends that everyone reside within 300 m of green regions to improve well-being and physical and mental health. The study aimed to explore the effects of urban and rural green areas on multiple physiological and functional variables, as well as evaluate the perception of individuals regarding the ease of use of these same spaces. Participants walked twice a week for six weeks, covering 1.6 km. Heart rate (HR), blood pressure (BP), oxygen saturation (SpO₂), physical capacity analysis (IPAQ), risk of falls (Morse Fall Scale), Mini Mental State Examination, physical performance test (PPT), and perception of accessibility (Pedestrian Accessibility Perception Scale for adults over 65 years old) were evaluated/administered. Variables such as noise, temperature, and air quality were also measured during the outdoor activities. Twenty-four individuals divided into two groups participated in the study: group 1 (urban route) and group 2 (rural route). We found impacts on body weight (p = 0.021), SpO₂ (p = 0.033), and Mini Mental State Examination (p = 0.041) scores in group 1 and SpO₂ and PPT scores in group 2. This study highlights the importance of incorporating green infrastructure in urban planning to support healthy aging and improve accessibility for older adults, and shows that outdoor activities provide various health benefits (physical, mental, and social well-being) and that walking in urban and rural environments seems to impact the health of elderly individuals positively and should be considered in physical therapy by health professionals. Full article

Digital rights have been little studied from a gender perspective until now. This research analyses, from a gender perspective, the characteristics of young entrepreneurs, the use of social media in their entrepreneurial projects, and their observance of digital rights. It uses a descriptive methodology based on the analysis of 144 successful cases of youth entrepreneurship. Percentage analysis and Chi-Square tests were carried out to determine gender differences. The results reveal that most of the entrepreneurial projects are led by men. The sectors of choice for female entrepreneurs seem to be, among others, the manufacturing industry and health activities. The most used social media are websites and Facebook. Overall, no statistically significant gender differences were found in terms of respect for digital rights. The results of this study point to the need to design and develop training actions aimed at gender equity in youth entrepreneurship and training in the observance and respect of digital rights. The results of this study have social implications insofar as they highlight the differences between genders in the development of entrepreneurial projects and the importance of protecting and respecting digital rights in social media, as established by international standards. Full article

Data drift can significantly impact the outcome of a model. Early detection of data drift is crucial for ensuring user confidence in predictions. It allows the user to check if a particular model needs retraining using updated data to adapt to the evolving process dynamics. This study compares five different statistical tests, namely four unidimensional and a new multidimensional test (MSPC), to identify data drift in both mean and deviation. While some are designed to detect drift in mean only, like our multidimensional proposal, others respond to changes in both mean and deviation. However, our Hotelling multidimensional method can be trained once and then applied in a single stage to any data stream with several attributes, and it can identify the most relevant variables causing a data drift with one execution, thus avoiding the need for a single univariate test for each attribute. Moreover, our method yields the relative importance of each attribute for drift and allows users to increase or decrease the relative weight of each variable regarding drift detection. It also may be capable of detecting drift due to changes in multivariate interactions. This behavior is especially suitable for real-world scenarios, such as industry, finance, or healthcare environments. Full article

CO₂ emissions are major drivers of climate change, causing global warming, extreme weather, and biodiversity loss. They disrupt ecosystems, deplete resources, and threaten public health and economic stability. Reducing CO₂ emissions is essential for climate stability and sustainability. This study explores the complex relationships between CO₂ emissions and factors such as the transportation sector, electricity consumption, foreign direct investment (FDI), international trade, and gross domestic product (GDP). The focus is on small- and medium-sized enterprises (SME) in Pakistan. Using time series data from 2000 to 2022. This study applies advanced econometric techniques, including nonlinear autoregressive distributed lag (NARDL), dynamic ordinary least squares (DOLS), and fully modified ordinary least squares (FMOLS). The findings highlight that increased electricity consumption, international trade, transportation activities, and FDI contribute to higher CO₂ emissions. However, FDI can also help reduce emissions, particularly through investments in green technologies. This study emphasizes the importance of transitioning to renewable energy and adopting sustainable practices across sectors such as electricity, trade, and transportation. Specifically, transportation and electricity consumption were found to significantly impact CO₂ emissions, with a 10% increase in transportation activities resulting in a 5% rise in emissions. Conversely, FDI can reduce emissions by approximately 3% per unit of investment, largely due to green technology adoption. Additionally, integrating renewable energy and energy-efficient technologies in transportation can lead to a 20% reduction in emissions. Policymakers and experts must prioritize strategies that promote renewable energy adoption and integrate sustainable practices to reduce CO₂ emissions and ensure long-term environmental sustainability. This research is innovative in its analysis of the interconnected effects of electricity consumption, trade, transportation, and FDI on CO₂ emissions. By applying sophisticated econometric methods, it highlights the potential of FDI, particularly green investments, to mitigate environmental damage. This study, focusing on Pakistan, offers insights into how economic growth can be balanced with environmental sustainability. Full article

The industrial application of high hydrostatic pressure (HHP) can be traced back to the late 19th century in the fields of mechanical and chemical engineering. Its growth as a food preservation technique has developed and massified in certain countries in the last 30 years. However, there is no global overview of the research conducted on this topic. The aim of this study was to recognize global trends in the scientific population on the subject of HHP over time at the main levels of analysis: sources, authors, and publications. This article provides a summary of research related to the use of HHP through a bibliometric analysis using information obtained from the Web of Science (WoS) database between the years 1975–2023, using the terms “pascalization”,“high-pressure processing”, and “high hydrostatic pressure” as input keywords. The results are shown in tables, graphs, and relationship diagrams. The countries most influential and productive in high hydrostatic pressure are the People’s R China, the USA, and Spain, with 1578, 1340, and 1003 articles, respectively. Conversely, the authors with the highest metrics are Saraiva, J. (Universidade Aveiro-Portugal), Hendrickx, M. (Katholieke Universiteit Leuven-Belgium), and Wang, T. (China Agricultural University-China). The most productive journals are Innovative Food Science & Emerging Technologies, Food Chemistry, and LWT-Food Science and Technology, all belonging to Elsevier, with 457, 281, and 264 documents, respectively. In relation to the connection between the documents under study and the United Nations Sustainable Development Goals (SDGs), most documents in the period 1975–2023 are linked to SDG 03 (good health and well-being), followed by SDG 02 (zero hunger), and SDG 07 (affordable and clean energy). Finally, the information presented in this work may give valuable key insights for those interested in the development of this interesting topic in non-thermal food preservation. Additionally, it serves as a strategic resource for stakeholders, such as food industry leaders, policymakers, and research funding bodies, by providing a clear understanding of the current state of knowledge and innovation trends. This enables informed decision-making regarding research priorities, investment opportunities, and the development of regulatory frameworks to support the adoption and advancement of non-thermal preservation technologies, ultimately contributing to safer and more sustainable food systems. Full article

Background: Effective supply chain management (SCM) is widely considered vital for enhancing business sustainability, yet empirical evidence across industries and contexts remains limited. This paper aims to address this gap by presenting empirical findings specific to a particular industry, business size, and economic setting. Methods: The data are collected from small- and medium-sized water bottling companies in Ethiopia utilizing a Likert scale questionnaire and analyzed using SPPS version 29 using multi-variable regression analysis. Results: The findings reveal a statistically significant positive influence of supply chain management practices on economic, environmental, and social sustainability business performances. Accordingly, supply chain internal practices and customer and supplier integration impact business economic sustainability, while customer and supplier integration affect business environmental sustainability performance. Customer integration, supplier integration, and supply chain internal practices significantly influence business social sustainability performance. Conclusions: These results highlight the potential for businesses to achieve holistic sustainability goals through targeted improvements in SCM practices. The research results are consistent with most previous studies on this topic, except for a few variations that may need further investigation. The discussion highlighted the intricate links between supply chain management practices and business sustainability, underscoring the need for comprehensive further empirical studies in various contexts. Full article

With the rapid economic development and the continuous growth in the demand for new energy vehicles and energy storage systems, a significant number of waste lithium-ion batteries are expected to enter the market in the future. Effectively managing the processing and recycling of these batteries to minimize environmental pollution is a major challenge currently facing the lithium-ion battery industry. This paper analyzes and compares the recycling strategies for different components of lithium-ion batteries, providing a summary of the main types of batteries, existing technologies at various pre-treatment stages, and recycling techniques for valuable resources such as heavy metals and graphite. Currently, pyrometallurgy and hydrometallurgy processes have matured; however, their high energy consumption and pollution levels conflict with the principles of the current green economy. As a result, innovative technologies have emerged, aiming to reduce energy consumption while achieving high recovery rates and minimizing the environmental impact. Nevertheless, most of these technologies are currently limited to the laboratory scale and are not yet suitable for large-scale application. Full article

Public construction projects in Kingdom of Saudi Arabia (KSA), particularly in the Makkah region, are important for the infrastructure and economic growth of the country. However, these projects often face challenges from change orders (COs), which lead to notable cost and schedule overruns. This study examines 32 public construction projects completed between 2010 and 2019 to analyze the impacts of COs on project performance. Results indicated that COs are associated with significant schedule overruns, ranging from 22% to 200%, and cost increases between 2.67% and 42.86%. Approximately 80.65% of the projects experienced cost overruns, with only one project adhering to its original budget. The ANOVA results revealed that differences in cost and schedule overruns based on project size, type, and managing department are not statistically significant. This highlighted that challenges posed by COs are consistent across different project categories and departments, showing systemic inefficiencies rather than project-specific issues. Variability in overruns within certain groups, such as departments, emphasizes the need for further exploration into localized practices and conditions. Finally, the study provides actionable recommendations to mitigate the adverse effects of COs, including standardized protocols for CO management, early stakeholder engagement during planning phases, adoption of advanced monitoring tools such as BIM, and the inclusion of contingency funds aligned with project complexity. Full article

Plastic waste (PW) presents a significant environmental challenge due to its persistent accumulation and harmful effects on ecosystems. According to the United Nations Environment Program (UNEP), global plastic production in 2024 is estimated to reach approximately 500 million tons. Without effective intervention, most of this plastic is expected to become waste, potentially resulting in billions of tons of accumulated PW by 2060. This study explores innovative approaches to convert PW into high-value carbon nanomaterials (CNMs) such as graphene, carbon nanotubes (CNTs), and other advanced carbon structures. Various methods including pyrolysis, arc discharge, catalytic degradation, and laser ablation have been investigated in transforming PW into CNMs. However, four primary methodologies are discussed herein: thermal decomposition, chemical vapor deposition (CVD), flash joule heating (FJH), and stepwise conversion. The scalability of the pathways discussed for industrial applications varies significantly. Thermal decomposition, particularly pyrolysis, is highly scalable due to its straightforward setup and cost-effective operation, making it suitable for large-scale waste processing plants. It also produces fuel byproducts that can be used as an alternative energy source, promoting the concept of energy recovery and circular economy. CVD, while producing high-quality carbon materials, is less scalable due to the high cost and required complex equipment, catalyst, high temperature, and pressure, which limits its use to specialized applications. FJH offers rapid synthesis of high-quality graphene using an economically viable technique that can also generate valuable products such as green hydrogen, carbon oligomers, and light hydrocarbons. However, it still requires optimization for industrial throughput. Stepwise conversion, involving multiple stages, can be challenging to scale due to higher operational complexity and cost, but it offers precise control over material properties for niche applications. This research demonstrates the growing potential of upcycling PW into valuable materials that align with global sustainability goals including industry, innovation, and infrastructure (Goal 9), sustainable cities and communities (Goal 11), and responsible consumption and production (Goal 12). The findings underscore the need for enhanced recycling infrastructure and policy frameworks to support the shift toward a circular economy and mitigate the global plastic crisis. Full article

The furniture-manufacturing industry is pressured to improve quality, productivity, and profitability, particularly within increasingly volatile market conditions. This study is focused on the development of methods for optimizing production processes in a furniture-manufacturing company through the application of an integrated risk management framework. By integrating Failure Mode and Effects Analysis (FMEA) with advanced multi-criteria decision-making (MCDM) techniques, specifically fuzzy AHP, fuzzy TOPSIS, and fuzzy WINGS, a hybrid model is developed to identify, prioritize, and address critical failure points while accounting for complex interdependencies. Significant failure modes, such as order inaccuracies and delivery delays, are revealed as key findings and are found to notably affect productivity and customer satisfaction. The proposed model’s ability to capture cascading effects and a nuanced prioritization enables a more precise risk assessment, thereby supporting resilience and process efficiency in the furniture-manufacturing sector. This approach is shown to not only optimize production but also provide a foundation for applying such hybrid models in other industries to manage sector-specific interdependencies effectively. Full article