bluuebunny/crossref_metadata_2025 huggingface dataset:
Emulsification and pH Control for Sustainable Thermochemical Fluids Reactivity
Authors: Al-Taq Ali A. , Aljawad Murtada Saleh , Alade Olalekan Saheed , Ajwad Hassan M. , Abu-Khamsin Sidqi A. , Patil Shirish , Mahmoud Mohamed
Published: November 2024

Managing chemical reactivity is crucial for sustainable chemistry and industry, fostering efficiency, reducing chemical waste, saving energy, and protecting the environment. Emulsification is used for different purposes, among them controlling the reactivity of highly reactive chemicals. Thermochemical fluids (TCFs), such as NH4Cl and NaNO2 salts, have been utilized in various applications, including the oil and gas industry. However, the excessive reactivity of TCFs limits their applications and consequently negatively impacts the potential success rates. In this study, an emulsification technique was employed to control the high reactivity of TCFs explored at 50% and 70% in diesel, using three distinct emulsifier systems at concentrations of 1%, 3%, and 5% to form water-in-oil emulsions. The reactivity of 4M neat TCFs and emulsified solutions was examined in an autoclave reactor as a function of triggering temperatures of 65–95 °C, volume fraction, and emulsifier type and concentration. Additionally, this study explores an alternative method for controlling TCF reactivity through pH adjustment. It investigates the impact of TCFs at pH values ranging from 6 to 10 and the initial pressure on the resulting pressure, temperature, and time needed to initiate the TCF’s reaction. The results revealed that both emulsification and pH adjustment have the potential to promote sustainability by controlling the reactivity of TCF reactions. The findings from this study can be utilized to optimize various downhole applications of TCFs, enhancing the efficiency of TCF reactions and success rates. This paper presents in detail the results obtained, and discusses the potential contributions of the examined TCFs’ reactivity control techniques to sustainability.
Sustainable Scalable Mechanochemical Synthesis of CdS/Bi2S3 Nanocomposites for Efficient Hydrogen Evolution
Authors: Shalabayev Zhandos , Abilkhan Abylay , Khan Natalya , Tugelbay Saparbek , Seisembekova Anar , Tatykayev Batukhan , Balaz Matej
Published: November 2024

In the present study, a green, scalable, and environmentally friendly approach was developed for the fabrication of Bi2S3-decorated CdS nanoparticles with an efficient hydrogen generation ability from the water. As a sulfur source, thiourea was used. The process was completed in two stages: mechanical activation and thermal annealing. The presence of spherical CdS nanoparticles and Bi2S3 nanorods in the CdS/Bi2S3 nanocomposite was confirmed and proved by XRD, Raman spectroscopy, SEM-EDS, and TEM. The synthesized CdS/Bi2S3 nanocomposites were evaluated for their photocatalytic hydrogen evolution capabilities. The CdS/Bi2S3 photocatalyst exhibited 25% higher photocatalytic activity compared to CdS, reaching a hydrogen evolution rate of 996.68 μmol h−1g−1 (AQE 0.87%) after 3.5 h under solar-light irradiation.
Exploring the Impact of Resource Management Strategies on Simulated Edge Cloud Performance: An Experimental Study
Authors: Kaftantzis Nikolaos , Kogias Dimitrios G. , Patrikakis Charalampos Z.
Published: November 2024

Edge computing has emerged as a critical technology for meeting the needs of latency-sensitive applications and reducing network congestion. This goal is achieved mainly by distributing computational resources closer to end users and away from traditional data centers. Optimizing the utilization of limited edge cloud resources and improving the performance of edge computing systems requires efficient resource-management techniques. In this paper, we primarily discuss the use of simulation tools—EdgeSimPy in particular—to assess edge cloud resource management methods. We give a summary of the main difficulties in managing a limited pool of resources in edge cloud computing, and we go over how simulation programs like EdgeSimPy work and evaluate resource management algorithms. The scenarios we consider for this evaluation involve edge computing while taking into account variables like user location, resource availability, and network structure. We evaluate four resource management algorithms in a fixed, simulated edge computing environment to determine their performance regarding their CPU usage, memory usage, disk usage, power consumption, and latency performance metrics to determine which method performs better in a fixed scenario. This allows us to determine the optimal algorithm for tasks that prioritize minimal resource use, low latency, or a combination of the two. Furthermore, we outline areas of unfilled research needs and potential paths forward for improving the reliability and realism of edge cloud simulation tools.
The Effects of Antioxidant Supplementation on Soccer Performance and Recovery: A Critical Review of the Available Evidence
Authors: Poulios Athanasios , Papanikolaou Konstantinos , Draganidis Dimitrios , Tsimeas Panagiotis , Chatzinikolaou Athanasios , Tsiokanos Athanasios , Jamurtas Athanasios Z. , Fatouros Ioannis G.
Published: November 2024

Background Soccer is linked to an acute inflammatory response and the release of reactive oxygen species (ROS). Antioxidant supplements have shown promising effects in reducing muscle damage and oxidative stress and enhancing the recovery process after eccentric exercise. This critical review highlights the influence of antioxidant supplements on performance and recovery following soccer-related activity, training, or competition. Methods: English-language publications from the main databases that examine how antioxidant-based nutrition and supplements affect the recovery process before, during, and after soccer practice or competition were used. Results: Coenzyme Q10 (CoQ10), astaxanthin (Asx), red orange juice (ROJS), L-carnitine (LC), N-acetyl cysteine (NAC), beetroot (BET), turmeric root, and tangeretin reduce muscle damage (creatine kinase, myoglobin, cortisol, lactate dehudrogenase, muscle soreness). Tangeretin, docosahexaenoic acid (DHA), turmeric root, and aronia melanocarpa restrict inflammation (leukocytes, prostalagdin E2, C-reactive protein, IL-6 and 10). Q10, DHA, Asx, tangeretin, lippia citriodora, quercetin, allopurinol, turmeric root, ROJS, aronia melanocarpa, vitamins C-E, green tea (GTE), and sour tea (STE) reduce oxidative stress (malondialdehude, glutathione, total antioxidant capacity, superoxide dismutases, protein carbonyls, ascorbate, glutathione peroxidase, and paraoxonase 1). BET and NAC reinforce performance (endurance, jump, speed, strength). Conclusions: Further research is needed to determine the main mechanism and the acute and long-term impacts of antioxidant supplements in soccer.
Anti-Inflammatory Effect of Ethanol Extract from Hibiscus cannabinus L. Flower in Diesel Particulate Matter-Stimulated HaCaT Cells
Authors: Han Ji-Ye , Kim Shin-Kyeom , Lim Do-Won , Kwon Osoung , Choi Yu-Rim , Kang Chan-Ho , Lee Yun Jung , Lee Young-Mi
Published: November 2024

Background/Objectives: Diesel Particulate Matter (DPM) is a very small particulate matter originating from cities, factories, and the use of fossil fuels in diesel vehicles. When DPM permeates the skin, it causes inflammation, leading to severe atopic dermatitis. Hibiscus cannabinus L. (Kenaf) seeds and leaves possess various beneficial properties, including anti-coagulation, antioxidant, and anti-inflammation effects. In this study, we investigated the anti-inflammatory effects of an ethanol extract of Hibiscus cannabinus L. flower (HCFE) in HaCaT cells stimulated with 100 μg/mL of DPM. Methods: The anthocyanin content of HCFE was analyzed, and its antioxidant capacity was investigated using the DPPH assay. After inducing inflammation with 100 ug/mL of DPM, the cytotoxicity of HCFE 25, 50, and 100 ug/mL was measured, and the inhibitory effect of HCFE on inflammatory mediators was evaluated. Results: Anthocyanin and myricetin-3-O-glucoside were present in HCFE and showed high antioxidant capacity. In addition, HCFE decreased the mRNA expression of inflammatory cytokines and chemokines such as IL-1β, IL-4, IL-6, IL-8, IL-13, and MCP-1, and significantly reduced the gene expression of CXCL10, CCL5, CCL17, and CCL22, which are known to increase in atopic dermatitis lesions. Furthermore, HCFE reduced intracellular reactive oxygen species (ROS) production, and down-regulated the activation of NF-κB, MAPKs. Inhibition of the NLRP-3 inflammasome was observed in DPM-stimulated HaCaT cells. In addition, the restoration of filaggrin and involucrin, skin barrier proteins destroyed by DPM exposure, was confirmed. Conclusions: These data suggest that HCFE could be used to prevent and improve skin inflammation and atopic dermatitis through the regulation of inflammatory mediators and the inhibition of skin water loss.
Analysis of Adverse Reactions Associated with the Use of Crataegus-Containing Herbal Products
Authors: Woerdenbag Herman J. , Ursidae Melissa , Ekhart Corine , Schmidt Martina , Vitalone Annabella , van Hunsel Florence P. A. M.
Published: November 2024

Background/Objectives: Products from various parts of Crataegus species are traditionally applied as a cardiotonic. In Europe and the USA, mainly Crataegus monogyna Jacq. (Lindm.) and Crataegus laevigata (Poir.) DC (synonym Crataegus oxyacantha L.) are used, but worldwide, other Crataegus species are also used. Phytotherapeutic preparations with a standardised content of flavonoids and/or oligomeric procyanidins are commercially available. The products are generally considered as safe and are at most associated with minor and atypical adverse reactions. The aim of this study was to critically assess the information about the safety of Crataegus-containing products in humans. Methods: A scoping review of the literature about adverse reactions associated with Crataegus-containing products was performed. Next, individual case safety reports (ICSRs) were assessed, which were included in VigiBase (the World Health Organisation’s global database of adverse event reports for medicines and vaccines) and in the database of the Netherlands Pharmacovigilance Centre Lareb. The findings are discussed in relation to the literature. Results: The scoping review yielded 23 clinical studies with single-herb and 14 with multi-herb preparations, from which only a few minor gastrointestinal and cardiac events had been reported. A total of 1527 reports from VigiBase, from 1970 to 2023, were analysed, as well as 13 reports from Lareb. The most frequently reported adverse reactions belonged to the system organ classes ‘gastrointestinal disorders’, ‘skin and subcutaneous tissue disorders’, ‘general disorders and administration site conditions’, ‘cardiac disorders’ or ‘nervous system disorders’. In 277 reports of VigiBase, a single-herb product was the only suspect for causing the adverse reaction(s). Of these, 12.6% were graded as serious. Conclusions: The results of our study provide deeper insight in the adverse reaction profile of Crataegus-containing products and should contribute to their safe application in the treatment of less severe forms of cardiac failure.
Antiproliferative and Morphological Effects of Fenretinide Lipid Nanosystems in Colon Adenocarcinoma Cells
Authors: Anconelli Lorenzo , Farioli Francesca , Lodeserto Pietro , Andreadi Aikaterini , Borsetti Francesca , Voltattorni Manuela , Galassi Lucrezia , Rossi Martina , Farruggia Giovanna , Blasi Paolo , Orienti Isabella
Published: November 2024

Objective: Colon adenocarcinoma is characterized by the downregulation of the retinoic acid receptor, making natural retinoids such as all-trans retinoic acid, 9-cis retinoic acid and 13-cis retinoic acid effective in treatment and chemoprevention due to their ability to increase RARβ expression. However, major limitations to their use include tolerability and acquired resistance. In this study, we evaluated fenretinide, a semisynthetic derivative of all-trans retinoic acid, in an HT-29 cell line. Fenretinide was evaluated both as a free drug and encapsulated in self-assembling phosphatidylcholine nanosystems with the aim of increasing the aqueous solubility and cell availability of the drug. Methods: Fenretinide was encapsulated in lipid nanosystems obtained in water by the dispersion of an amphiphilic mixture of phospholipids, glyceryl tributyrate and polysorbate 80. The physico-chemical characterization of the nanosystems was carried out by dynamic light scattering and spectrophotometry. The biological activity was evaluated by quantitative phase imaging microscopy, MTT assay, flow cytometry and confocal laser-scanning fluorescence microscopy. Results: Fenretinide in phosphatidylcholine nanosystems was more active than free fenretinide in inhibiting HT-29 cells’ proliferation, as indicated by quantitative phase imaging data. Indeed, encapsulated fenretinide increased duplication time, decreased dry mass and decreased the rate of cell growth more efficiently than fenretinide. Moreover, encapsulated fenretinide effectively decreased the motility of the cells that survived the treatment. Conclusions: The results indicate that the proposed nanosystems can be considered a valuable alternative to natural retinoids in the chemoprevention and treatment of colorectal cancer. This is due to the favorable pharmacologic characteristics of fenretinide in colorectal cancer and the improved drug activity provided by nanoencapsulation.
Assessment and Application of Multi-Source Precipitation Products in Cold Regions Based on the Improved SWAT Model
Authors: Tang Zhaoqi , Wang Yi , Chen Wen
Published: November 2024

In hydrological modeling, the accuracy of precipitation data and the reflection of the model’s physical mechanisms are crucial for accurately describing hydrological processes. Identifying reliable data sources and exploring reasonable hydrological evolution mechanisms for hydrology and water resources research in high-altitude mountainous regions with sparse stations and limited data constitute a significant challenge and focus in the field of hydrology. This study focuses on the Yarkant River Basin in Xinjiang, which originates from glaciers and contains a substantial amount of meltwater runoff. A dynamic glacier melt module considering the synergistic effects of multiple meteorological factors was developed and integrated into the original Soil and Water Assessment Tool (SWAT) model. Four precipitation datasets (ERA5-land, MSWEP, CMA V2.0, and CHM-PRE) were selected to train the model, including remote sensing precipitation products and station-interpolated precipitation data. The applicability of the improved SWAT model and precipitation datasets in the source region of the Yarkant River was evaluated and analyzed using statistical indicators, hydrological characteristic values, and watershed runoff simulation effectiveness. The optimal dataset was further used to analyze glacier evolution characteristics in the basin. The results revealed the following: (1) The improved model fills the gap in glacier runoff simulation with respect to the original SWAT model, with the simulation results more closely aligning with the actual runoff variation patterns in the study area, better describing the meltwater runoff process. (2) CMA V2.0 precipitation data has the best applicability in the study area. This is specifically reflected in the rationality of the spatial and temporal distribution patterns of the inverted precipitation, the accuracy observed in capturing precipitation events and actual precipitation characteristics, the goodness of fit in driving hydrological models, and the observed precision in reflecting the composition of watershed runoff, all of which are superior to those pertaining to other precipitation products. (3) The glacier melt calculated using the improved SWAT model informed by CMA V2.0 shows that during the study period, the basin formed a pattern with a positive–negative glacier balance demarcation at 36.5° N, featuring melting at higher latitudes and accumulation at lower latitudes. The results of this study are of significant importance for hydrometeorological applications and hydrological and water resources research in this region.
Improved Polar Current Shell Algorithm for Ocean Current Retrieval from X-Band Radar Data
Authors: Li Yi , Yang Zhiding , Huang Weimin
Published: November 2024

This paper presents an improved algorithm for retrieving ocean surface currents from X-band marine radar images. The original polar current shell (PCS) method begins with a 3D fast Fourier transform (FFT) of the radar image sequence, followed by the extraction of the dispersion shell from the 3D image spectrum, which is then transformed into a PCS using polar coordinates. Building on this foundation, the improved approach is to analyze all data points corresponding to different wavenumber magnitudes in the PCS domain rather than analyzing each specific wavenumber magnitude separately. In addition, kernel density estimation (KDE) to identify high-density directions, interquartile range filtering to remove outliers, and symmetry-based filtering to further reduce noise by comparing data from opposite directions are also utilized for further improvement. Finally, a single curve fitting is applied to the filtered data rather than conducting multiple curve fittings as in the original method. The algorithm is validated using simulated data and real radar data from both the Decca radar, established in 2008, and the Koden radar, established in 2017. For the 2008 Decca radar data, the improved PCS method reduced the root-mean-square deviation (RMSD) for speed estimation by 0.06 m/s and for direction estimation by 3.8° while improving the correlation coefficients (CCs) for current speed by 0.06 and direction by 0.07 compared to the original PCS method. For the 2017 Koden radar data, the improved PCS method reduced the RMSD for speed by 0.02 m/s and for direction by 4.6°, with CCs being improved for current speed by 0.03 and direction by 0.05 compared to the original PCS method.
Prescribed-Time Dynamic Positioning Control for USV with Lumped Disturbances, Thruster Saturation and Prescribed Performance Constraints
Authors: Sui Bowen , Zhang Jianqiang , Liu Zhong
Published: November 2024

This work studies the dynamic positioning (DP) control issue of unmanned surface vessels subjected to thruster saturation, error constraints, and lumped disturbances composed of time-varying marine environmental disturbances and model parameter uncertainties. Combining the disturbance-accurate estimation technique and the prescribed performance control strategy, a novel prescribed-time DP control scheme is established to address this challenging problem. In particular, the prescribed-time lumped disturbance observer is designed to accurately estimate external marine disturbances, which guarantees that the estimation error converges to zero within a prescribed time. Subsequently, a prescribed performance control strategy is proposed to guarantee that the positioning errors of DP surface vessels with thruster saturation constraints meet the error constraints requirements within a prescribed time. Furthermore, an anti-windup compensator is presented to mitigate the thruster saturation and improve the robustness of the DP control system. The stability analysis demonstrates that all positioning errors of the closed-loop system can converge to predefined performance constraints within a prescribed time. Finally, the numerical simulation confirms the efficacy and superiority of the proposed PTDP scheme.
Research on the Impact of Digital Infrastructure on Urban Breakthrough Green Innovation: A Case Study of the Yangtze River Economic Belt in China
Authors: Zhou Lixin , Qu Caiping , Zhi Li
Published: November 2024

Breakthrough green innovation acts as a critical leverage point and a fundamental driver of the development of new productive forces. This study employs a sample of 108 cities along the Yangtze River Economic Belt from 2011 to 2021 to investigate the impact of digital infrastructure on urban breakthrough green innovation and its underlying mechanisms. The findings are as follows: (1) Digital infrastructure construction facilitates urban breakthrough green innovation, with a notably more substantial impact on strategic breakthrough green innovation. This result is validated through robustness and endogeneity tests. (2) Heterogeneity analysis indicates that the enhancement effect of digital infrastructure on breakthrough green innovation is more prominent in non-resource-based cities, cities with higher levels of marketisation, and those with weaker environmental regulations, with a particularly significant influence on substantive breakthrough green innovation. (3) Mechanism analysis reveals that upgrading industrial structures, optimising market resource allocation, and increasing public environmental awareness are critical mechanisms through which digital infrastructure strengthens urban breakthrough green innovation capacity. Additionally, as improvements occur in industrial structure, market resource allocation efficiency, and public environmental awareness, the impact of digital infrastructure on urban breakthrough green innovation capacity displays a nonlinear effect.
Growth Patterns of Small Pelagic Fish in West Africa
Authors: Gomes Josepha Duarte Pinto , Baldé Bocar Sabaly , Faye Saliou , Barry Iça , Demarcq Hervé , Brehmer Patrice
Published: November 2024

Small pelagic fishes play important ecological roles in marine ecosystems, constitute some of the most economically valuable fisheries resources, and play a vital role in West African food security. Often living in upwelling regions, these species appear to have developed mechanisms to cope with environmental variability, such as opportunistic reproductive tactics, enhancing their growth performance, or increasing their egg production by following the more predictable system attributes of seasonal cycles. To test this hypothesis, we investigated size-dependent patterns of the two growth mechanisms (i.e., growth rate) of two West African small pelagic populations (Ethmalosa fimbriata and Sardinella maderensis) in upwelling environments. These results were discussed with other areas in African tropical Atlantic waters. The monthly mean length of both species showed a large variation over the study period. Based on the fish length-frequency data and a coastal upwelling index, we found that the growth peaks of the species tended to occur during the most intense periods of upwelling (March–April). This study showed a significant decrease in size compared with other species found in other regions. It demonstrates how the geographical distribution of the same species, together with location-specific variation in temperature and food, can combine to determine local and regional growth responses in pelagic fish. Changes in growth rate may be an adaptive tactic in response to environmental change, as well as phenotypic plasticity in fish. This knowledge is essential to predict future changes in fish productivity and distribution vs. climate and to provide effective advice for ecosystem-based management.
Factors Influencing Transportation Mode Preferences for Educational Trips Among Dormitory Resident University Students in Kütahya, Türkiye
Authors: Peker Raziye , Yardim Mustafa Sinan , Akalin Kadir Berkhan
Published: November 2024

This study explores the transportation behaviors of university students residing in dormitories in Kütahya, Türkiye, emphasizing their preferred modes for educational trips. Utilizing a Multinomial Logit model, the research analyzes the influence of socio-demographic factors, trip characteristics, and environmental perceptions on mode choice. The results indicate that public transport and walking are the predominant modes, with significant negative associations being observed between car ownership and the likelihood of choosing these sustainable options. Key findings reveal that, as trip distances increase, students are more likely to use public transport, while higher income levels decrease reliance on both public transport and walking. Male students demonstrate a higher preference for these modes compared to female students. Environmental perceptions, including feelings of safety and satisfaction with infrastructure, play a critical role in shaping transportation choices, highlighting the need for improved lighting, walkability, and public transport quality. These insights have important implications for transportation policy, suggesting that reducing private vehicle reliance and enhancing public transport services can significantly promote sustainable travel behaviors. Overall, the study underscores the importance of comprehensive transportation policies that not only enhance infrastructure and service quality but also consider environmental perceptions and safety to promote sustainable travel behaviors among university students.
Urban Technology Transfer, Spatial Spillover Effects, and Carbon Emissions in China
Authors: Wei Ling , Zeng Bing
Published: November 2024

Technology transfer is essential for addressing technological disparities in urban areas and reducing carbon emissions. This study analyzes inter-city technology patent transfers and carbon emission data from China (2010–2019) using a spatial Durbin model to assess the effects of technology inflow and outflow on carbon emissions and their spatial spillover effects. Key findings include the following: ① a significant spatial correlation exists between technology inflow, outflow, and carbon emissions, with notable spillover effects; ② both technology inflow and outflow reduce intra-regional carbon emissions, but only outflow significantly reduces inter-regional emissions; ③ regional differences are evident, with the eastern and central regions showing significant reductions due to technology transfers, while the western and northeastern regions do not. In the northeastern region, technology transfer significantly aids neighboring cities in reducing emissions. However, the central region lacks spillover effects from outflow, and technology inflow and outflow in the western region hinder reductions. This paper provides policy recommendations to improve urban technology transfer and carbon emissions mitigation.
Assessment of Formaldehyde’s Impact on Indoor Environments and Human Health via the Integration of Satellite Tropospheric Total Columns and Outdoor Ground Sensors
Authors: Barrese Elena , Valentini Marco , Scarpelli Marialuisa , Samele Pasquale , Malacaria Luana , D’Amico Francesco , Lo Feudo Teresa
Published: November 2024

Formaldehyde (HCHO) is harmful to human health and an adequate assessment of its concentrations, both in outdoor and indoor environments, is necessary in the context of sustainable policies designed to mitigate health risks. In this research, ground indoor and outdoor HCHO measurements are integrated with the analysis of tropospheric total columns obtained by satellite surveys to assess the concentrations of HCHO in a number of environments, exploiting the proximity of a World Meteorological Organization—Global Atmosphere Watch (WMO/GAW) observation site in Calabria, Southern Italy to a National Institute for Insurance against Accidents at Work (INAIL) department in the municipality of Lamezia Terme. The meteorological parameters used by the WMO station are also used to provide additional data and test new correlations. Using statistical significance tests, this study demonstrates the presence of a correlation between indoor and outdoor HCHO concentrations, thus showing that an exchange between indoor and outdoor formaldehyde does occur. Rooms located in the local INAIL building where indoor measurements took place also demonstrate degrees of susceptibility to HCHO exposure, which are correlated with the orientation of prevailing wind corridors in the area. The new findings constitute an unprecedented characterization of HCHO hazards in Calabria and provide regulators with new tools with which to mitigate formaldehyde-related risks.
Masterbatch Natural Rubber—Innovative Asphalt Cement Additive for Sustainable Flexural Pavements
Authors: Yeanyong Chakkrid , Horpibulsuk Suksun , Suddeepong Apichat , Buritatum Apinun , Yaowarat Teerasak , Akkharawongwhatthana Kongsak , Phunpeng Veena , Udomchai Artit , Hoy Menglim
Published: November 2024

The mechanical performance of Masterbatch Natural Rubber (MNR)-modified asphalt concrete (MNR-AC) was investigated and is presented in this paper. When compared to conventional asphalt concrete (AC), MNR-AC exhibits significantly superior performance across key mechanical parameters, including Marshall stability, indirect tensile strength (ITS), resilient modulus (IT Mr), indirect tensile fatigue life (ITFL), and rutting resistance. The most pronounced enhancements are observed at the optimal dry rubber to asphalt cement (r/b) ratio of 3%, at which MNR-AC demonstrates peak performance in all evaluated tests. The fatigue distress models for MNR-AC and AC reveal distinct logarithmic relationships, with an intersection point occurring at an r/b ratio of approximately 3%. This suggests that MNR-AC with an r/b ratio of 3% or less exhibits a markedly superior fatigue life compared to conventional AC under equivalent applied-stress conditions. MNR offers significant practical advantages over liquid natural rubber, including more consistent mixing, and simplified storage and transportation, positioning it as a promising and sustainable advancement in pavement material technology.
Impact of Urban Form in the Yangtze River Delta of China on the Spatiotemporal Evolution of Carbon Emissions from Transportation
Authors: Sun Yanming , Chen Baozhong , Li Qingli
Published: November 2024

The impact of urban form on carbon emissions has become a crucial issue for sustainable socioeconomic development and the advancement of low-carbon cities. Transportation is a significant source of urban carbon emissions, highlighting the need for comprehensive research to aid China in achieving its carbon peak and neutrality goals. Currently, there is a lack of quantitative studies exploring the effects of urban form on transportation-related carbon emissions. This paper seeks to quantify the effect of urban form on the spatial and temporal patterns of transportation carbon emissions, utilizing panel data from 27 cities in the Yangtze River Delta (YRD) region of China, covering the years 2000 to 2020. First, CO2 emissions from transportation are estimated following IPCC guidelines, with Moran’s I utilized to analyze spatial autocorrelation. Next, urban form indicators are quantified based on landscape ecology theory. Finally, econometric models are employed for regression analysis of the panel data. The findings reveal that urban complexity, compactness, and expansion influence transportation carbon emissions to varying degrees, with urban expansion and complexity associated with increased emissions, while compactness contributes to their reduction. This study offers theoretical support and a scientific basis for low-carbon urban spatial planning and development, underscoring the importance of urban form in emissions reduction strategies.
Study on the Evolution of Spatial and Temporal Patterns of Carbon Emissions from Land Use in a River Basin
Authors: Xie Xiaoling , Zhao Jiangting , Ma Ruiyuan
Published: November 2024

Land-use change significantly contributes to carbon emission. Analyzing this relationship fosters exploration of low-carbon, efficient land-use patterns at regional levels. Using ArcGIS 10.5 and the PLUS model, this study investigated land transfer trends across six counties and one district in the Malian River Basin between 2000 and 2020. It quantified carbon emissions from land use and performed spatial distribution analysis using land-use and socio-economic data. The study demonstrates the following: (1) Between 2010 and 2020, significant land-use changes occurred in the Malian River Basin with 72,919.49 km2 of land undergoing transformation. Notably, the farmland-to-forest and grassland conversion project in Qingyang City was a major factor contributing to the shift from arable land to forest and grassland. (2) Natural factors influencing land conversion in the Loess Plateau region primarily include precipitation and elevation. Conversely, social factors such as population density, road networks, and local government establishments in districts and counties are pivotal in driving land-use changes within the Malian River Basin. (3) Carbon emissions vary significantly among different land-use types, with building land, cropland, unutilized land, watershed, grassland, and forest land showing descending emissions. The rapid expansion of building land notably increases carbon emissions in the study region, while forest land, a significant carbon sink, absorbs approximately 88% of total carbon emissions. (4) Districts and counties in the study area exhibit varying levels of carbon emissions, with Ning County, Xifeng District, Huan County, Qingcheng County, Zhengning County, Heshui County, and Huachi County listed in descending order. Regions with higher carbon emissions typically host abundant energy resources and significant energy production and consumption activities. Variations in carbon emission levels are largely influenced by resource availability and development priorities. Variations in resource levels and developmental focus are pivotal in explaining differences in carbon emission levels. Thus, it is crucial to explore the dynamic interplay between land-use carbon emission efficiency and land evolution in the Malian River Basin. This research will support ecological management and sustainable economic development in the Yellow River Basin, while also contributing to the achievement of the “double carbon” goals.
Chlorophyll-Amended Organoclays for the Detoxification of Ochratoxin A
Authors: Oladele Johnson O. , Wang Meichen , Xenophontos Xenophon , Lilly Kendall , Tamamis Phanourios , Phillips Timothy D.
Published: November 2024

Climate change has been associated with outbreaks of mycotoxicosis following periods of drought, enhanced fungal growth, and increased exposure to mycotoxins. For detoxification, the inclusion of clay-based materials in food and drinking water has resulted in a very promising strategy to reduce mycotoxin exposure. In this strategy, mycotoxins are tightly sorbed to high-affinity clay particles in the gastrointestinal tract, thus decreasing bioavailability, uptake to blood, and potential toxicity. This study investigated the ability of chlorophyll and chlorophyllin-amended montmorillonite clays to decrease the toxicity of ochratoxin A (OTA). The sorption mechanisms of OTA binding to surfaces of sorbents, as well as binding parameters such as capacity, affinity, enthalpy, and free energy, were examined. Chlorophyll-amended organoclay (CMCH) demonstrated the highest binding (72%) and was better than the chlorophyllin-amended hydrophilic clay (59%), possibly due to the hydrophobicity of OTA (LogP 4.7). In silico studies using molecular dynamics simulations showed that CMCH improves OTA binding in comparison to parent clay in line with experiments. Simulations depicted that chlorophyll amendments on clay facilitated OTA molecules binding both directly, through enhancing OTA binding on the clay, or predominantly indirectly, through OTA molecules interacting with bound chlorophyll amendments. Simulations uncovered the key role of calcium ions in OTA binding, particularly in neutral conditions, and demonstrated that CMCH binding to OTA is enhanced under both neutral and acidic conditions. Furthermore, the protection of various sorbents against OTA-induced toxicity was carried out using two living organisms (Hydra vulgaris and Caenorhabditis elegans) which are susceptible to OTA toxicity. This study showed the significant detoxification of OTA (33% to 100%) by inclusion of sorbents. Organoclay (CMCH) at 0.5% offered complete protection. These findings suggest that the chlorophyll-amended organoclays described in this study could be included in food and feed as OTA binders and as potential filter materials for water and beverages to protect against OTA contaminants during outbreaks and emergencies.
Acute Hepatitis C: Current Status and Future Perspectives
Authors: Fasano Massimo , Ieva Francesco , Ciarallo Marianna , Caccianotti Bruno , Santantonio Teresa Antonia
Published: November 2024

The hepatitis C virus (HCV) infection continues to represent a significant public health threat and is a leading cause of liver cirrhosis, liver cancer, and liver-related mortality. The World Health Organization (WHO) has set a goal for 2030: to eliminate HCV infection as a public health threat by reducing new HCV infections by 90% and mortality by 65%. The early phase of HCV infection represents a pivotal point in the evolution of hepatitis C. Despite a favourable course in the majority of patients, approximately 50–70% of individuals with recently acquired hepatitis C will develop a chronic infection, defined as the persistence of viremia for a period exceeding six months. The diagnosis and treatment of a recent HCV infection should facilitate engagement in multidisciplinary care, prevent the development and complications of chronic liver disease, and reduce ongoing transmission in key populations. Therefore, early treatment in the early phase of infection compared with deferring treatment until the chronic infection remains a valid approach in the era of direct antiviral agents (DAAs). This approach is supported by a cost-effectiveness analysis. The aim of this review is to synthesise the existing knowledge on the early phase of hepatitis C virus infection, with a particular focus on the current risk factors, natural history, therapeutic management, and future perspectives.
Production of Oncolytic Measles Virus in Vero Cells: Impact of Culture Medium and Multiplicity of Infection
Authors: Eckhardt Dustin , Mueller Jana , Friedrich Jonas , Klee Jan-P. , Sardlishvili Irakli , Walter Lars E. , Fey Stefanie , Czermak Peter , Salzig Denise
Published: November 2024

Oncolytic measles virus (MeV) is a promising anti-cancer treatment. However, the production of high titers of infectious MeV (typically 107–109 TCID50 per dose) is challenging because the virus is unstable under typical production conditions. The objective of this study was to investigate how the multiplicity of infection (MOI) and different media—a serum-containing medium (SCM), a serum-free medium (SFM) and two chemically defined media (CDM)—affect MeV production. We infected Vero cells at MOIs of 0.02, 0.2 or 2 TCID50 cell−1 and the lowest MOI resulted in the largest number of infected cells towards the end of the production period. However, this did not equate to higher maximum MeV titers, which were similar for all the MOIs. The medium had a moderate effect, generating maximum titers of 0.89–2.17 × 106, 1.08–1.25 × 106 and 4.58–9.90 × 105 TCID50 mL−1 for the SCM, SFM and CDM, respectively. Infection at a low MOI often required longer process times to reach maximum yields. On the other hand, a high MOI requires a large amount of MeV stock. We would therefore recommend a mid-range MOI of 0.2 TCID50 cell−1 for MeV production. Our findings show that SCM, SFM and CDM are equally suitable for MeV production in terms of yield and process time. This will allow MeV production in serum-free conditions, addressing the safety risks and ethical concerns associated with the use of serum.
Cyanophage Engineering for Algal Blooms Control
Authors: Guo Yujing , Dong Xiaoxiao , Li Huiying , Tong Yigang , Liu Zihe , Jin Jin
Published: November 2024

Cyanobacteria represent a prevalent category of photosynthetic autotrophs capable of generating deleterious algal blooms, commonly known as cyanobacteria harmful algal blooms (cyanoHABs). These blooms often produce cyanotoxins, which pose risks to public health and ecosystems by contaminating surface waters and drinking water sources. Traditional treatment methods have limited effectiveness. Therefore, there is an urgent need for a new approach to effectively manage cyanoHABs. One promising approach is the use of cyanophages, which are viruses that specifically target cyanobacteria. Cyanophages serve as an effective biological control method for reducing cyanoHABs in aquatic systems. By engineering cyanophages, it is possible to develop a highly specific control strategy that minimally impacts non-target species and their propagation in the environment. This review explores the potential application of cyanophages as a strategy for controlling cyanoHABs. It includes the identification and isolation of broad-spectrum and novel cyanophages, with a specific focus on freshwater Microcystis cyanophages, highlighting their broad spectrum and high efficiency. Additionally, recent advancements in cyanophage engineering are discussed, including genome modification, functional gene identification, and the construction of artificial cyanophages. Furthermore, the current state of application is addressed. Cyanophage is a promising control strategy for effectively managing cyanoHABs in aquatic environments.
First Seroprevalence Study of Feline Leukemia and Feline Immunodeficiency Infections Among Cats in Algiers (Algeria) and Associated Risk Factors
Authors: Yahiaoui Fatima , Kardjadj Moustafa , Ben-Mahdi Meriem Hind
Published: November 2024

Feline leukemia and feline immunodeficiency virus infections are two widespread diseases that affect the health of domestic cats all over the world. In Algeria, despite the existence of a large population of cats, there are no published data regarding the epidemiological status of feline retroviruses. Therefore, the objective of the present study was to estimate the seroprevalence of FIV and FeLV infections in cats in Algiers and to assess the main factors associated with the infection. A cross-sectional study was conducted in which 71 cats were sampled from several private veterinary clinics, and their obtained sera were tested using an immunochromatography analysis (SNAP Duo FIV/FeLV Test; Virbac Laboratories, France). The seroprevalence was about 32.39% and 22.53% for FIV and FeLV, respectively. Overall, 11.26% were positive for both infections. The present study showed that FIV seropositivity was associated with a younger age and health status (p < 0.05), while FeLV seropositivity was associated with the sex, reproductive status, housing, age, and health status of the cats. This preliminary study, which utilized rapid tests, provides important initial data revealing a relatively high prevalence of retroviruses in cats in Algeria. The results underscore the urgent need for implementing both preventive and management measures to control the spread of these retrovirus diseases. However, to enhance the reliability of future findings, it is essential to expand the sample size and incorporate reference diagnostic methods.
Integrated Chemical and Ecotoxicological Assessment of Metal Contamination in the Andong Watershed: Identifying Key Toxicants and Ecological Risks
Authors: Chung Jiwoong , Kim Su-Hyun , Hwang Dae-sik , Sung Chan-Gyoung , Moon Seong-Dae , Kim Chankook , Choi Mansik , Lee Jong-Hyeon
Published: November 2024

This study employed an integrated field monitoring approach, combining chemical analysis and ecotoxicity testing of multiple environmental matrices—water, sediment, and sediment elutriates—to comprehensively assess the environmental health of the Andong watershed, located near a Zn smelter and mining area. The primary objectives were to evaluate the extent of metal contamination, identify key toxicants contributing to ecological degradation, and trace the sources of these pollutants. Our findings revealed severe metal contamination and significant ecotoxicological effects both in proximity to and downstream from industrial sites. Specifically, Cd, Zn, and Pb were strongly linked to the smelter, while Hg, Ni, Cu, and As were predominantly associated with mining activities in the tributaries. To further assess toxicity of field-collected sediment and their elutriates, a logistic regression analysis was employed to estimate benchmark values for distinguishing between toxic and non-toxic samples, using the sum of toxic units for sediment elutriates and the mean probable effect level (PEL) quotient for sediment toxicity. These models demonstrated greater predictive accuracy than conventional benchmarks for determining toxicity thresholds. Our results highlight that integrating chemical and ecotoxicological monitoring with site-specific concentration–response relationships enhances the precision of ecological risk assessments, facilitating more accurate identification of key toxicants driving mixture toxicity in complex, pollution-impacted aquatic ecosystems.
Validating a Calibrated Model of a Groundwater Pump-And-Treat System Using Robust Multiple Regression
Authors: Rush Michael , Gains-Germain Leslie , Foster Lauren M. , Stockton Tom
Published: November 2024

Validation of groundwater models is relatively challenging due to the need to reserve scarce water level data for calibration targets. In addition, traditional statistical validation metrics are unintuitive for non-technical audiences and do not directly identify model behaviors that require further refinement. We developed a novel model validation method that analyzes rate change events at pump-and-treat wells and statistically compares the water level responses at nearby monitoring wells between the data and model. The method takes advantage of events that occur alongside ambient pumping, unlike parameter estimation techniques that require independent drawdown or recovery events. The ability of the model to match well connections that are evident (or not evident) in the observations is characterized statistically, leading to four decision scenarios: model matches the observed connection (1) or lack thereof (2), model exhibits a connection that is not observed (3), or model over- or understates the observed connection (4). The method is applied to an FEHM-based groundwater flow and transport model that is shown to match 84.5% of the well connections analyzed. The method provides novel perspectives on the influence of calibration targets on the flow field and suggests that although the overall effect of drawdown targets was to improve the model, the choice of target well pairs creates flow pathways that may be inconsequential during normal operational conditions. The model adequately matches the flow over short spatial scales (<800 m) and over-represents the flow over greater distances (300–1200 m), suggesting the need for “null” drawdown targets in subsequent rounds of calibration.