bluuebunny/crossref_metadata_2025 huggingface dataset:
Validity and Reliability of Movesense HR+ ECG Measurements for High-Intensity Running and Cycling
Authors: Martín Gómez Raúl , Allevard Enzo , Kamstra Haye , Cotter James , Lamb Peter
Published: September 2024

Low-cost, portable devices capable of accurate physiological measurements are attractive tools for coaches, athletes, and practitioners. The purpose of this study was primarily to establish the validity and reliability of Movesense HR+ ECG measurements compared to the criterion three-lead ECG, and secondarily, to test the industry leader Garmin HRM. Twenty-one healthy adults participated in running and cycling incremental test protocols to exhaustion, both with rest before and after. Movesense HR+ demonstrated consistent and accurate R-peak detection, with an overall sensitivity of 99.7% and precision of 99.6% compared to the criterion; Garmin HRM sensitivity and precision were 84.7% and 87.7%, respectively. Bland–Altman analysis compared to the criterion indicated mean differences (SD) in RR’ intervals of 0.23 (22.3) ms for Movesense HR+ at rest and 0.38 (18.7) ms during the incremental test. The mean difference for Garmin HRM-Pro at rest was −8.5 (111.5) ms and 27.7 (128.7) ms for the incremental test. The incremental test correlation was very strong (r = 0.98) between Movesense HR+ and criterion, and moderate (r = 0.66) for Garmin HRM-Pro. This study developed a robust peak detection algorithm and data collection protocol for Movesense HR+ and established its validity and reliability for ECG measurement.
Integrated UAV and Satellite Multi-Spectral for Agricultural Drought Monitoring of Winter Wheat in the Seedling Stage
Authors: Yang Xiaohui , Gao Feng , Yuan Hongwei , Cao Xiuqing
Published: September 2024

Agricultural droughts are a threat to local economies, as they disrupt crops. The monitoring of agricultural droughts is of practical significance for mitigating loss. Even though satellite data have been extensively used in agricultural studies, realizing wide-range, high-resolution, and high-precision agricultural drought monitoring is still difficult. This study combined the high spatial resolution of unmanned aerial vehicle (UAV) remote sensing with the wide-range monitoring capability of Landsat-8 and employed the local average method for upscaling to match the remote sensing images of the UAVs with satellite images. Based on the measured ground data, this study employed two machine learning algorithms, namely, random forest (RF) and eXtreme Gradient Boosting (XGBoost1.5.1), to establish the inversion models for the relative soil moisture. The results showed that the XGBoost model achieved a higher accuracy for different soil depths. For a soil depth of 0–20 cm, the XGBoost model achieved the optimal result (R2 = 0.6863; root mean square error (RMSE) = 3.882%). Compared with the corresponding model for soil depth before the upscaling correction, the UAV correction can significantly improve the inversion accuracy of the relative soil moisture according to satellite remote sensing. To conclude, a map of the agricultural drought grade of winter wheat in the Huaibei Plain in China was drawn up.
Fortifying Industry 4.0: Internet of Things Security in Cloud Manufacturing through Artificial Intelligence and Provenance Blockchain—A Thematic Literature Review
Authors: Umer Mifta Ahmed , Belay Elefelious Getachew , Gouveia Luis Borges
Published: September 2024

Cloud manufacturing allows multiple manufacturers to contribute their manufacturing facilities and assets for monitoring, operating, and controlling common processes of manufacturing and services controlled through cloud computing. The modern framework is driven by the seamless integration of technologies evolved under Industry 4.0. The entire digitalized manufacturing systems operate through the Internet, and hence, cybersecurity threats have become a problem area for manufacturing companies. The impacts can be very serious because cyber-attacks can penetrate operations carried out in the physical infrastructure, causing explosions, crashes, collisions, and other incidents. This research is a thematic literature review of the deterrence to such attacks by protecting IoT devices by employing provenance blockchain and artificial intelligence. The literature review was conducted on four themes: cloud manufacturing design, cybersecurity risks to the IoT, provenance blockchains for IoT security, and artificial intelligence for IoT security. These four themes of the literature review were critically analyzed to visualize a framework in which provenance blockchain and artificial intelligence can be integrated to offer a more effective solution for protecting IoT devices used in cloud manufacturing from cybersecurity threats. The findings of this study can provide an informative framework.
Back to Nature: Development and Optimization of Bioinspired Nanocarriers for Potential Breast Cancer Treatment
Authors: Safwat Sally , Hathout Rania M. , Ishak Rania A. H. , Mortada Nahed D.
Published: September 2024

This study focuses on the preparation and optimization of caffeic acid (CA)-loaded casein nanoparticles (CS NPs) via the Box–Behnken design (BBD) for potential applications in cancer treatment. CS NPs were loaded with CA as a promising anti-cancer molecule. Non-hazardous green materials were exploited for nanoparticle fabrication. The BBD was used, followed by a desirability function to select the optimum formulation. The BBD was adopted as it avoids the runs implemented in extreme conditions, hence making it suitable for proteins. CS NPs were characterized regarding particle size (PS), size distribution (PDI), zeta potential (ZP), drug entrapment, morphology using TEM, differential scanning calorimetry, molecular docking, in vitro release, and cytotoxicity studies. PS, PDI, and ZP had significant responses, while EE% was insignificant. The suggested models were quadratic with high fitting. Optimized NPs showed PS = 110.31 ± 1.02 nm, PDI = 0.331 ± 0.029, ZP = −23.94 ± 1.64 mV, and EE% = 95.4 ± 2.56%. Molecular modeling indicated hydrophobic and electrostatic interactions between CA and CS, accounting for the high EE%. Almost spherical particles were realized with a sustained CA release pattern. Optimized NPs effectively suppressed the growth of MCF-7 cell lines by scoring the lowest IC50 = 78.45 ± 1.7 µg/mL. A novel combination of bioinspired-derived materials was developed for use in breast cancer treatment.
Applications of Sample Preparation Techniques in the Analysis of New Psychoactive Substances
Authors: Nisbet Lorna A. , Wylie Fiona M. , Scott Karen S.
Published: September 2024

The global rise of new psychoactive substances (NPSs) poses challenges for their analysis in biological matrices due to their complex chemistries and short market lifespan. A comparative study for the simultaneous extraction, separation, and detection of 19 NPSs was conducted. Six solid-phase extraction (SPE) methods and one supported liquid extraction method (SLE) were compared for the extraction of analytes from blood, serum, plasma, and urine. Comparisons of four derivatization agents were conducted, at four temperatures and two incubation times. Extraction methods were assessed by precision, sensitivity, and extraction efficiency. Derivatizing agents were assessed on their selectivity and sensitivity, and a three-way ANOVA was conducted to determine statistical significance. CSDAU SPE cartridges were shown to be the most efficient when extracting analytes from blood, serum, and plasma, whereas Xcel I cartridges performed the strongest when extracting analytes from urine. SPE extraction efficiencies, when utilizing the best-performing cartridges, ranged from 49 to 119%. SLE successfully extracted all analytes from all matrices (ranging from 22 to 120%). Pentafluoropropionic anhydride: ethyl acetate was the most successful derivatizing agent, allowing all analytes to be detected, with the highest peak area responses and more unique spectra. The optimum temperature for incubation was 37 °C, with no statistical difference found between the two incubation times.
Photocatalytic Degradation of Ciprofloxacin: A Combined Experimental and Theoretical Study Using Curcumin and Hydrogen Peroxide
Authors: de Paiva Flórida L. P. , Silva Maria Vivian C. , Mendonça Ana Lara F. , Araújo Cristiane S. , Sallum Lóide O. , de Aguiar Antonio S. N. , Lima Alessandra R. , Napolitano Hamilton B. , Calvete Mário J. F. , Dias Lucas D.
Published: September 2024

Contamination of soil, water, and wastewater by pharmaceuticals, including antibiotics, is a global health problem. This work evaluated the use of a natural compound, curcumin (CUR), as a homogeneous photocatalyst, together with hydrogen peroxide (H2O2) as a benign oxidant, to promote the photodegradation of ciprofloxacin (CIP). Furthermore, we carried out theoretical calculations using density functional theory (DFT) to assess the chemical reactivity of ciprofloxacin. In addition, the intermolecular interaction patterns of two crystalline polymorphs of the antibiotic drug were analyzed through Hirshfeld surfaces. Finally, calculations using the TD-DFT formalism were carried out to understand the effects on the CIP molecule caused by the simultaneous presence of the CUR molecule and ultraviolet-visible light (UV-Vis). A photooxidative effect was observed in the presence of the CUR photocatalyst (CIP + CUR (1:0.5)), resulting in a degradation of CIP of up to 24.4%. However, increasing the concentration of the CUR photocatalyst (ciprofloxacin + curcumin (1:1)) decreased the photodegradation of CIP, which may be caused by competition between the CIP molecule and CUR for ROS generated in situ. Additionally, the calculation results showed that the electronic excitations caused by the associated CIP + CUR structures affect the CIP molecule, resulting in the effects observed experimentally. The results show that CUR, when applied as a photosensitizing catalyst, presents synergistic potential with H2O2 in the photocatalytic degradation of ciprofloxacin. This photocatalytic process can be applied to the environmental remediation of pharmaceutical micropollutants, a subject of ongoing studies.
Analyzing Media Content in Turkiye and the UK during the COVID-19 Pandemic Considering the Dimensions of Quadruple Helix Collaboration Processes
Authors: Peschke Lutz , Seyfafjehi Seyedehshahrzad , Dündar Irmak , Gümüş Ağca Yasemin
Published: September 2024

The outbreak of COVID-19 between 2020 and 2022 highlighted the significant role of news media as a tool of communication among different social actors. Due to the novelty of the virus, most citizens turned to official news outlets to obtain reliable information about the disease and pandemic regulations. Therefore, a content analysis of news coverage in different countries provides insight into their Quadruple Helix dynamics, which reflects new patterns of knowledge democracy under consideration of the media-based public sphere. This article aims to trace the patterns of prevalent topics related to COVID-19 news in Turkish and British mainstream news agencies between September 2020 and March 2022. By deploying content analysis, this research endeavours to elicit public discourses created around the pandemic. These media agencies engaged in critical commentary on the pandemic situation and the policies enacted during this period, updating citizens with the latest information. However, the differences in the political and social structures of each country influence their Quadruple Helix knowledge exchange, which has a high impact on transformation processes.
Journalistic Images: Contemporary Challenges for Visual Research in Digital Journalism
Authors: Vasconcelos Eduardo Leite , Barbosa Suzana Oliveira
Published: September 2024

This article aims to identify contemporary challenges in researching digital journalism images and propose potential outcomes for addressing these challenges. We argue that the analysis of contemporary journalistic photography requires a departure from traditional approaches used for analog images. Instead, it should be viewed within the ever-changing digital ecosystem in which digital journalism circulates and the new forms of creating, sharing, and visualizing its content that arise from platform context and mobile consumption. We have divided these challenges into two categories: the first relates to topics associated with the studied object, and the second pertains to the research process itself. On the one hand, changes in the nature of the photographic medium, its transmission and profusion potentials, shifts in journalistic workflow and labor relations, evolving professional multimedia needs, audience participation, and new forms of consumption are some of the aspects that need to be considered. On the other hand, we also must deal with the ephemeral quality of digital objects and recognize that researching digital objects is inherently intertwined with understanding the digital ecosystem in which these objects exist. Finally, we identify the digital methods-oriented approach as a potential path to addressing these challenges, mainly because of its characteristics of following and adapting to the medium’s logic
Place-Based Perspectives on Understanding the Value of Sustainable Heritage-Inspired Arts and Crafts in Jordan
Authors: Newisar May , Selim Gehan , Li Meng
Published: September 2024

This article highlights the challenges of rigorously evaluating and meaningfully communicating the socio-economic impacts of arts and crafts in northern Jordan. This article aims to identify and analyse the challenges confronting place-based arts and crafts industries in Jordan and propose valid policies and practices to address these challenges. The methodology employed involved a comprehensive review of the existing literature to elucidate the challenges faced by heritage-based artisans, and we propose several policies aimed at promoting and safeguarding the arts and crafts heritage. The findings supporting this research were derived from a series of practical workshops and focus group interviews conducted in 2022. This article also presents empirical evidence to highlight the identified challenges. It emphasises the importance of the proposed policy recommendations for the Jordanian sector, providing the audience with a sense of empowerment and an understanding of the potential solutions. This work could offer insights into how local communities innovatively leverage creative capacities, create localised impact, and address local challenges. We argue that the value of arts and crafts is better understood locally to provide impactful experiences based on community-led and community-generated creativity and flexibility. A creative participatory approach is used to create contemporary art designs and train young people on artistic and craft-making skills, application, and production as a credible precedent and best practice for developing creative cultural “enterprises” in Jordan.
Circular-ESG Model for Regenerative Transition
Authors: Khan Tariqullah
Published: September 2024

This paper presents a novel circular-ESG framework integrating circular economy (CE) principles with environmental, social, and governance (ESG) criteria to address the lack of uniform sustainability measures. We introduce normalized sustainability coordinates (NSCs) as a comprehensive metric for sustainability performance, reconciling economic development with environmental balance. The circular-ESG model employs a four-quadrant Cartesian system to map business model impacts on natural and socio-economic systems, ranging from linear open-loop to circular closed-loop ESG models. This framework enables empirical analysis through data-driven NSCs (−1 to 1) and establishes temporal key performance indicators. By incorporating the Human Development Index within ecological limits, the model promotes regenerative development aligned with planetary boundaries. The circular-ESG approach offers a practical tool for businesses, households, organizations, and policymakers to navigate sustainable development complexities. This integrated framework fosters innovation and supports a just transition towards regenerative practices, providing a roadmap for high human development within ecological limits. The circular-ESG model advances sustainability science and management, contributing to the discourse on measuring and implementing sustainable practices across sectors and scales. The model is currently conceptual; we encourage empirical validation and further research to explore its practical applications and effectiveness in real-world scenarios. While the provided examples of use cases serve as conceptual demonstrations, future research could empirically apply the model to real-world data.
Sustainable Collaboration and Incentive Policies for the Integration of Professional Education and Innovation and Entrepreneurship Education (IPEIEE)
Authors: Chen Hui , Fu Guanghui , Wu Huiqin , Xiao Yao , Nie Xuan , Zhao Wenjin
Published: September 2024

The Integration of Professional Education and Innovation and Entrepreneurship Education (IPEIEE) has been recognized as an important direction for the development of higher education in enhancing the innovation and entrepreneurship awareness and ability of college students. However, universities and teachers are facing challenges while promoting IPEIEE, namely, various stakeholders, the unreasonable design of the curriculum system, and the lack of relevant incentive policies. In addition, IPEIEE in many universities has been placed on hold. Few studies have examined the innovation regime in IPEIEE, despite it being a dilemma that the field confronts. Thus, taking into account the roles of universities, teachers, and students in the evolutionary game model, this paper firstly constructs an evolutionary game model for teachers and students, in which the costs and parameters affecting the benefit matrix, as well as the stability strategy, are refined. Secondly, the behavior of universities is introduced to examine the effects of universities on strategic choices of teachers and students. Finally, a mechanism analysis is conducted in combination with the principal–agent model to gain a deeper understanding of the evolutionary stability of stakeholder strategies in the IPEIEE. The findings emphasize potential Evolutionary Stable Strategies (ESS) that universities, as promoters and guides, should take as measures concerning both economic encouragement and management encouragement to promote IPEIEE, so as that the ‘ideal state’ can be achieved. Furthermore, if specific incentives for different stakeholders are proposed and set at an appropriate intensity, this will encourage active cooperation among these stakeholders. This paper explores the evolution mechanism of innovation strategies in IPEIEE from the perspective of stakeholders, offering a better comprehension of the dynamic evolution of these strategies. The key findings also offer support for policymakers to promote the mutual development of agents in the IPEIEE, thus enhancing the overall sustainable collaborative capability of the IPEIEE.
Microbial Biopreparations and Their Impact on Organic Strawberry (Fragaria x ananassa Duch.) Yields and Fungal Infestation
Authors: Nakielska Małgorzata , Feledyn-Szewczyk Beata , Berbeć Adam Kleofas , Frąc Magdalena
Published: September 2024

Growing consumer awareness of the importance of food quality on their health is the main driving force for increasing the market for sustainable agricultural products. This makes sustainable, environmentally friendly production methods into non-chemical plant protection products against pathogens, including microbial biopreparations, increasingly important among farmers. Strawberry fruits (Fragaria x ananassa Duch.) are often negatively affected by fungal pathogens. The aim of this study was to evaluate the impact of five combinations of newly developed microbial biopreparations (from K2 to K6) on fungal pathogens and the yield of three strawberry cultivars. The research was conducted on a certified organic strawberry plantation in Poland in 2020–2021. In the first year of the study, no statistically significant positive impact of tested treatments on strawberry yields have been found. At the same time, yields of ‘Honeoye’ treated with K4 combination showed a tendency (with no statistical significance) to have higher yields than the control object by about 33%. In the second year of the study, yields of ‘Honeoye’ and ‘Rumba’ treated with K4 combination (containing Bacillus sp. Sp116AC*, Bacillus sp. Sp115AD, Bacillus sp. AF75BC and Bacillus subtilis AF75AB2, humic acids, yeast culture effluent, micronized dolomite, and mustard and rapeseed oil) significantly increased by 79% and 49%, respectively. Fruit infestation by fungal pathogens was reduced under some microbial treatments; however, the effect varied between years, cultivars, and tested biopreparations. The K2 combination showed a tendency (with no statistical significance) to limit B. cinerea infestation rate by 23% in 2020 and 21% in 2021, C. acutatum by 16% in 2021, and P. cactorum infestation rate by 30% in 2021. Tested microbial biopreparations showed a positive impact on the yield of strawberries and (to some extent) on disease infestation, with an impact on pathogen infestation strongly dependent on the year, variety, and biopreparation tested.
Outstanding Potential for Treating Wastewater from Office Buildings Using Fixed Activated Sludge with Attached Growth Process
Authors: Phan Nguyen Nguyet Minh , Bui Quang Chi , Nguyen Trung Viet , Yang Chih-Chi , Chen Ku-Fan , Tsai Yung-Pin
Published: September 2024

The application of fixed activated sludge with an attached growth process (FASAG) with optimal operating conditions (hydraulic retention time (HRT) of 7 h, dissolved oxygen (DO) of 6 mg/L, and alkalinity dosage of 7.14 mgCaCO3/mgN-NH4+) treats wastewater generated from office buildings to meet discharge requirements (as per the regulation in the nation where the study was conducted) with typical parameters such as pH of 6.87–7.56, chemical oxygen demand (COD) of 32–64 mg/L, suspended solids (SS) of 8–11 mg/L, N-NH4+ of 1–7 mg/L, and denitrification efficiency reaches 53%. In addition, the FASAG is an outstanding integration that makes both economic and environmental sense when applied in local wastewater treatment systems. In particular, this process combines aerobic and anoxic processes in a creation tank. This explains why this approach can save investment and operating costs, energy, and land funds. In office building regions, where land area is frequently limited, saving land funds presents numerous options to enhance the density of green cover. Furthermore, as a new aspect, investing in reusing wastewater after treatment to irrigate plants or flush toilets in office buildings contributes to a decrease in the quantity of wastewater released into the environment, saving water resources and supporting sustainable development.
Environmental Decentralization, Digital Financial Inclusion, and the Green Transformation of Industries in Resource-Based Cities in China
Authors: Zheng Feihong , Diao Rongxin , Che Hongsheng
Published: September 2024

In the digital era, digital financial inclusion plays a pivotal role in facilitating green industrial transformation and green development in resource-based cities. In this study, we conduct an in-depth analysis of environmental decentralization and digital financial inclusion and their mechanism of influence on the industrial green transformation of resource-based cities, utilizing panel data from resource-based cities in China between 2011 and 2022, in order to perform empirical tests using fixed effects and threshold models. The results indicate that environmental decentralization can advance the green transformation of industries, and that, under the influence of digital financial inclusion, environmental decentralization has a significant reverse impact on the green transformation of industries of resource-based cities in China. Furthermore, different levels of digital financial inclusion contribute to varying effects of environmental decentralization on the green transformation of industries. Additionally, the impact of environmental decentralization on the green transformation of industries differs among various types of resource-based cities in China. Therefore, we should continuously optimize the management system of environmental decentralization, improve the digital financial inclusion service system, fully leverage the advantages of digital financial inclusion, accurately grasp and scientifically utilize the driving principles of environmental decentralization, and implement measures in different cities according to the situation, in order to advance the green transformation of industries in resource-based cities in China.
Morphometric Analysis and Prioritization of Sub-Watersheds Located in Heterogeneous Geographical Units—Case Study: The Buzău River Basin
Authors: Pastor Ioana , Tanislav Danut , Nedelea Alexandru , Dunea Daniel , Serban Gheorghe , Haghighi Ali Torabi , Sabau Daniel , Bretcan Petre
Published: September 2024

The present study evaluates selected morphometric characteristics of 39 direct tributaries of the Buzău River (area of 4112 km2) to prioritize development actions in these sub-watersheds, which are distributed in three geographical regions within the full Buzău River watershed: the Carpathian, Subcarpathian, and plains regions. By combining a variable number of morphometric parameters, using various mathematical models, we can evaluate the state of balance or imbalance in a watershed and identify sub-watersheds vulnerable to natural processes. Prioritization was achieved using composite (Cp) values by comparing two scenarios. In the first scenario, 11 derived morphometric parameters were used, and in the second scenario, another 7 parameters were added. The obtained values were grouped into five classes (very high, high, medium, low, and very low). Due to the heterogeneity of relief units among geographical regions, there are classification differences for sub-watersheds among those regions. Watersheds classed as very high priority for intervention actions are located in the Carpathian (SW1, SW2, SW15, SW16) and Subcarpathian areas (SW24, SW30), which are characterized by high relief energy and pronounced slope instability, which leads to an increase in the risk of flooding and land degradation. For comparison, all sub-watersheds in the plains region, are classified as very low or low priority. Since the arithmetic mean is sensitive to extreme values, its use in the calculation of composite (Cp) values causes the values to be “eclipsed” and the sub-watersheds to be placed in different prioritization classes (SW18 and SW34), depending on the analyzed scenario, due to the large number of parameters and classified sub-watersheds.
Increases in the Amounts of Agricultural Surfaces and Their Impact on the Sustainability of Groundwater Resources in North-Central Chile
Authors: Pizarro Roberto , Borcoski Francisca , Ingram Ben , Bustamante-Ortega Ramón , Sangüesa Claudia , Ibáñez Alfredo , Toledo Cristóbal , Vidal Cristian , Garcia-Chevesich Pablo A.
Published: September 2024

Water is a fundamental resource for Chile’s productive structure, which is more important in arid areas, and especially with agricultural uses. This study was based on two basins (Cogotí and Illapel) located in the Coquimbo Region of north-central Chile. In this region, surface water rights were closed in 2002 and the only current option is the use of groundwater. These basins have high water demands due to the use of surface and groundwater for agricultural purposes, a fact that should influence the sustainability of groundwater reserves over time. The objective of this study was to determine how much agricultural use has affected the availability of groundwater in two basins. Under the previous context, the evolution of agricultural irrigation surfaces was evaluated using Landsat images and forest classifications. Similarly, groundwater reserves were evaluated using the recessive curves of hydrographs associated with the beginning of each hydrological year. The results show an increase in the agricultural area between 1996 and 2016, with a subsequent decrease, while groundwater reserves denoted significant decreases over time. In conclusion, a significant decrease in the volumes of groundwater reserves in both basins was observed, a decrease that is consistent with the increase in irrigated areas.
Water Environmental Risks Encountered during Urbanization in Valley Areas and the Potential Mitigation Effects of Utilizing Reclaimed Water
Authors: Ma Nian , Xu Yongxin
Published: September 2024

Since urbanization poses risks to regional environments, assessing and mitigating these risks is a challenge inherent to the urbanization process. The present study employs an adapted methodology based on the water environmental capacity (WEC) to assess the risks associated with the water environment in an urbanizing area located in a valley of the Chongqing municipality in Southwestern China, with a particular emphasis on its representative regional river. By utilizing hydrological data and planned parameters specific to this region, this study estimates the spatial and temporal distribution of the WEC and pollution loads in the river under various urbanization scenarios. It also explores the potential of the utilization of reclaimed water to mitigate these water environmental risks. The results indicate that the extent of urbanization exerts significant influences on the water environment and, therefore, requires meticulous planning. Areas experiencing higher levels of urbanization in the middle reaches of the river are associated with greater environmental risks compared to those observed in the lower reaches, while minimal risk is observed in the headwater. Due to the pollution loads brought about by precipitation, there is a higher level of environmental risk during the wet season (May–October) compared to the dry season. Utilizing reclaimed water can effectively reduce the pollution loads discharged into the river and is the most efficient means of mitigating environmental risks. To effectively manage environmental risks during urbanization in this valley area, further studies should prioritize examining the correlation between the scale of urban expansion and the river’s environmental carrying capacity. Additionally, it is imperative to establish realistic targets for the river water’s quality and discharge standards for the effluent from wastewater treatment plants. Furthermore, it is crucial to determine an appropriate level of utilization of reclaimed water and delve into the mechanisms behind the method used to assess the water environmental capacity. Despite these challenges, analyzing the spatial and temporal distribution of risk during urbanization and evaluating the mitigative effect of utilizing reclaimed water based on adapted assessments of the water environmental capacity hold reference value for the formulation of environmental management strategies and environmental planning. There is significant potential for this approach to have various applications.
Can Artificial Intelligence Effectively Improve China’s Environmental Quality? A Study Based on the Perspective of Energy Conservation, Carbon Reduction, and Emission Reduction
Authors: Zhao Ke , Wu Chao , Liu Jinquan
Published: September 2024

The “technological dividends” brought by AI development provide a new model for the country to achieve green governance, enhance enterprises’ ability to manage pollutant emissions during production and operations, and create a new driving force for improving environmental quality. In this regard, this paper systematically examines the impact of AI on environmental quality in China by employing provincial panel data spanning from 2000 to 2020. Focusing on energy conservation, carbon reduction, and emissions mitigation, the analysis is conducted through the application of a two-way fixed-effects model and mediation effects model to explore both the effects and the mechanisms of AI’s influence on environmental quality. The findings indicate that the development and implementation of AI contribute positively to China’s efforts in energy conservation, carbon reduction, and emissions mitigation, ultimately leading to an enhancement in environmental quality. This conclusion remains valid after multiple robustness checks. Mechanism tests reveal that the optimization of regional energy structures, advancements in green technological innovation, and upgrades in industrial structures serve as crucial pathways through which AI facilitates energy conservation, carbon reduction, and emissions mitigation. Heterogeneity analysis uncovers a notable “path dependence” effect in China’s AI development; regions characterized by higher material capital investment, more advanced technological market development, and greater levels of marketization experience a relatively more pronounced impact of AI on the enhancement of environmental quality. This study offers direct references and practical insights for countries globally to foster AI development, enhance environmental quality, and advance high-quality economic growth amid the ongoing wave of digital and intelligent transformation.
Experimental Study on the Properties of Basalt Fiber–Cement-Stabilized Expansive Soil
Authors: Chen Junhua , Mu Jiejie , Chen Aijun , Long Yao , Zhang Yanjiang , Zou Jinfeng
Published: September 2024

Expansive soil is prone to rapid strength degradation caused by repeated volume swelling and shrinkage under alternating dry–wet conditions. Basalt fiber (BF) and cement are utilized to stabilize expansive soil, aiming to curb its swelling and shrinkage, enhance its strength, and ensure its durability in dry–wet cycles. This study examines the impact of varying content (0–1%) of BF on the physical and mechanical characteristics of expansive soil stabilized with a 6% cement content. We investigated these effects through a series of experiments including compaction, swelling and shrinkage, unconfined compressive strength (UCS), undrained and consolidation shear, dry–wet cycles, and scanning electron microscope (SEM) analyses. The experiments yielded the following conclusions: Combining cement and BF to stabilize expansive soil leverages cement’s chemical curing ability and BF’s reinforcing effect. Incorporating 0.4% BFs significantly improves the swelling and shrinkage characteristics of cement-stabilized expansive soils, reducing expansion by 36.17% and contraction by 28.4%. Furthermore, it enhances both the initial strength and durability of these soils under dry–wet cycles. Without dry–wet cycles, the addition of 0.4% BFs increased UCS by 24.8% and shear strength by 24.6% to 40%. After 16 dry–wet cycles, the UCS improved by 38.87% compared to cement-stabilized expansive soil alone. Both the content of BF and the number of dry–wet cycles significantly influenced the UCS of cement-stabilized expansive soils. Multivariate nonlinear equations were used to model the UCS, offering a predictive framework for assessing the strength of these soils under varying BF contents and dry–wet cycles. The cement hydrate adheres to the fiber surface, increasing adhesion and friction between the fibers and soil particles. Additionally, the fibers form a network structure within the soil. These factors collectively enhance the strength, deformation resistance, and durability of cement-stabilized expansive soils. These findings offer valuable insights into combining traditional cementitious materials with basalt fiber to manage expansive soil hazards, reduce resource consumption, and mitigate environmental impacts, thereby contributing to sustainable development.
Multi-Source Data-Based Investigation of Spatiotemporal Heterogeneity and Driving Mechanisms of Coupling and Coordination in Human Settlements in Urban Agglomeration in the Middle Reaches of the Yangtze River
Authors: Wu Wenmei , Tian Shenzhen , Li Hang , Li Xueming , Wang Yadan
Published: September 2024

In the information age, the new wave of the information technology revolution has profoundly changed our mode of production and way of life. Pseudo human settlements (PHS), consisting of digits and information, have become increasingly important in human settlements (HS) systems, and become a strong support for the high-quality development of global HS. Against this background, clarifying the spatiotemporal heterogeneity and driving mechanisms of the coupling and coordination between the PHS and real human settlements (RHS) is of great significance to the high-quality development of HS and providing a reasonable explanation of today’s man–land relationship. Therefore, we developed a theoretical framework system for describing PHS–RHS coupling and coordination based on multi-source data such as internet socialization, public utility, and remote sensing images, etc. Taking the urban agglomeration in the middle reaches of the Yangtze River (UAMRYR), which is the key region consolidating China’s “two horizontal and three vertical” urbanization strategy, as a case study area, we have comprehensively analyzed the spatiotemporal heterogeneity of the coupling and coordination of PHS and RHS and its driving mechanism in UAMRYR during the period of 2011–2021, by comprehensively applying the modified coupling coordination degree (CCD) and other models. The results show are as follows: (1) Temporal process—The CCD exhibited a reverse L-shaped increasing trend. The CCD class varied significantly, with the extremely uncoordinated and severely uncoordinated classes present at the beginning of the study period and disappearing toward the end of the study period, while the well coordinated and highly coordinated classes were absent at the beginning of the study period and appeared toward the end of the study period. (2) Spatial pattern—The CCD exhibited an equilateral triangle-shaped, core–margin spatial pattern and a characteristic of core polarization. Overall, the spatial distribution of the CCD exhibited a characteristic of “high in the central region, low in the eastern and western regions, and balanced in the south–north direction”. (3) Dynamic evolution—The CCD increased more rapidly in the north-eastern direction than in the south-western direction; the CCD exhibited north-eastward migration and dispersion, and the spatial variability decreased. (4) Driving mechanisms—The primary factors affecting the CCD varied significantly over time. The living system was dominant in the PHS, whereas the human system was dominant in the RHS. The PHS had a greater effect than the RHS on the CCD. The study broadens the research scope of human settlements geography, establishes a scientific foundation for advancing urban HS construction in the UAMRYR, and offers theoretical support for the high-quality development of cities in the UAMRYR.
Thermoelectric Generator Applications in Buildings: A Review
Authors: Win Sein Lae Yi , Chiang Yi-Chang , Huang Tzu-Ling , Lai Chi-Ming
Published: September 2024

With growing concerns about building energy consumption, thermoelectric generators (TEGs) have attracted significant attention for their potential to generate clean, green, and sustainable power. This comprehensive review explores the applications of thermoelectric generators (TEGs) in building systems, focusing on recent advancements from 2013 to 2024. The study examines TEG integration in building envelopes, including façades, walls, windows, and roofs, as well as non-integrated applications for waste heat recovery and HVAC systems. Key findings highlight the potential of TEGs in energy harvesting and thermal management, with façade-integrated systems generating up to 100.0 mW/m² and hybrid LCPV/T-TEG systems achieving overall efficiencies of 57.03%. The review also identifies critical parameters affecting TEG performance, such as solar intensity, thermoelectric arm length, and PCM melting temperature. Despite promising results, challenges remain in improving overall system efficiency, cost-effectiveness, and scalability. Future research directions include developing more efficient thermoelectric materials, optimizing system designs for various climatic conditions, and exploring integration with smart building management systems. This review provides valuable insights for researchers and practitioners working towards more energy-efficient and sustainable building designs using TEG technology.
Digitalization of Analysis of a Concrete Block Layer Using Machine Learning as a Sustainable Approach
Authors: Narimani Parviz , Abyaneh Mohsen Dehghanpour , Golabchi Marzieh , Golchin Babak , Haque Rezwanul , Jamshidi Ali
Published: September 2024

The concrete block pavement (CBP) system has a surface layer consisting of concrete block pavers and joint sand over a bedding sand layer. The non-homogeneous nature of the surface course of CBP, along with different laying patterns and shapes of block pavers, makes the analysis of CBP cumbersome. In this study, the surface course of CBP was modeled based on the slab action of the block pavers and joint sand, which are connected together in full contact. Four different laying patterns, including herringbone, stretcher, parquet, and square, were modeled using a finite element model. The elastic moduli of the block pavers varied from 2500 MPa to 45,000 MPa, with thicknesses ranging from 60 mm to 120 mm. As a result, modeling of CBP based on slab action can be considered a realistic strategy. In addition, a dataset was created based on quantitative inputs, e.g., elastic modulus and thickness of the block pavers, and qualitative input, i.e., block laying patterns. The approaches of machine learning adopted were support vector regression, Gaussian process regression, single-layer and deep artificial neural networks, and least squares boosting to implement prediction approach based on input and output. The analyses of statistical accuracy of all five machine learning methods showed high accuracy; however, the Gaussian process and deep artificial neural network methods resulted in the most accurate outputs and are recommended for further studies. Based on the machine learning models, digitalization is achieved through the development of simple, user-friendly software for electronic devices in order to perform a preliminary analysis of different laying patterns of CBP. Such a platform may result in less laboratory work and boosts the level of sustainability in concrete block pavement technology.
Vertical Green Wall Systems for Rainwater and Sewage Treatment
Authors: Wang Wen , Zhou Xiaolin , Wu Suqing , Zhao Min , Jin Zhan , Bei Ke , Zheng Xiangyong , Fan Chunzhen
Published: September 2024

Rainwater and sewage are important pollution sources for surface water bodies. Vertical greening systems (VGSs) are extensively employed for these wastewater treatments due to the green and sustainable characteristics, as well as their high-efficiency in pollutant (organic matter, nitrogen, and phosphorus) removal. At present, more and more VGSs are designed with green buildings, serving city ecosystems. This study provides an overview of different kinds of VGSs for rain and sewage treatment, emphasizing their types, design, mechanisms, selection of plants, and growth substrate. Plants play a crucial role in pollutant removal, and different plants usually obtain different efficiencies of water treatment. Climbing plants and ornamental plants with fast growth rates are priority selections for VGSs, including Canna lilies, Jasmine, Grape vine, Boston ivy, Pittosporum tobira, Pelargonium australe, Mentha aquatica, and Lythrum salicaria. The substrate is the most critical part of the VGS, which plays an important role in regulating water flow, supporting plant growth, promoting biofilm growth, filtering pollutants, and adsorbing nutrients. The single substrate either has a blockage problem or has a short holding time. Therefore, a number of studies have mixed the substrates and integrated the advantages of the substrates to form a complementary effect, thereby improving the overall purification efficiency and stability. Novel substrates (sand, spent coffee grounds, date seeds, coffee grinds, reed-based, etc.) are usually mixed with coco coir, light-weight expanded clay, growstone, or perlite at a certain ratio to obtain optimum treatment performance. Moreover, plants in clay show more significant growth advantages and health statuses than in zeolite or soil. Operating parameters are also significant influences on the treatment performance. This review provides theoretical and technical support for designing sustainable, environmentally friendly, and cost-effective VGSs in treating rainwater and sewage.
The Feminisation of Poverty in European Union Countries—Myth or Reality?
Authors: Perzyńska Joanna , Guzowska Małgorzata Klaudia
Published: September 2024

The feminisation of poverty is a complex, multidimensional phenomenon related to gender inequality in various aspects of life. Women are disproportionately affected by the gender pay gap, unequal intra-household resource distribution, unpaid domestic work, caregiving responsibilities, single motherhood, employment or educational barriers, violence, gender discrimination, and period poverty. Combating poverty and inequality are among the main goals of the 2030 Agenda for Sustainable Development adopted by the United Nations General Assembly on 25 September 2015, and their great importance is further highlighted in the preamble of the resolution outlining the plan to transform our world by 2030. This study uses SDG indicators from the Eurostat database to assess the feminisation of poverty in the EU-27 member states in 2020 based on selected diagnostic characteristics mainly related to SDG 1 and SDG 5; they are also related to other goals due to the cross-cutting nature of the topic. The characteristics were transformed to reflect gender gaps and afterwards unitised with a veto threshold indicating gender balance. These were then used to calculate a synthetic taxonomic measure, allowing for linear ordering and classification of countries based on the feminisation of poverty levels. The study confirmed significant feminisation of poverty in the EU-27, with a few aspects showing masculinisation. High feminisation of poverty was observed in both emerging and advanced economies.
The Sustainable Remediation of Antimony(III)-Contaminated Water Using Iron and Manganese-Modified Graphene Oxide–Chitosan Composites: A Comparative Study of Kinetic and Isotherm Models
Authors: Mo Huinan , Shan Huimei , Xu Yuqiao , Liao Haimin , Lu Meiyuan , Peng Sanxi , Zhao Yuqing
Published: September 2024

This study introduces a series of Fe/Mn-GOCS composites using high-temperature impregnation with graphene oxide and chitosan as substrates, modified by diverse manganese salts, including MnCl2∙4H2O, KMnO4, and MnSO4. Among these, FeCl2/MnSO4-GOCS demonstrated the highest adsorption capacity for Sb(III), peaking at 57.69 mg/g. The adsorption performance was extensively evaluated under various conditions, such as different initial concentrations, pH levels, solid–liquid ratios, and adsorption durations. It was observed that when the Fe/Mn molar ratio exceeded 4:1, there was a notable decrease in both the adsorption capacity and removal rate. Kinetic analyses using the pseudo-second-order model revealed a better fit (R2 > 0.99) compared to the pseudo-first-order model, indicating that chemisorption dominated the adsorption process. Additionally, isothermal modeling highlighted the efficiency of Fe/Mn-GOCS, particularly in high-concentration environments, with the Sips model demonstrating the best fit, integrating characteristics of both Langmuir and Freundlich models. These results not only offer a robust theoretical and practical basis for efficient Sb(III) removal but also underscore the potential of multi-metal-modified adsorbents as sustainable solutions for environmental remediation.