bluuebunny/crossref_metadata_2025 huggingface dataset:
A Critical Review of Pavement Design Methods Based on a Climate Approach
Authors: Mendoza-Sanchez Juan F. , Alonso-Guzman Elia M. , Martinez-Molina Wilfrido , Chavez-Garcia Hugo L. , Soto-Espitia Rafael , Delgado-Alamilla Horacio , Obregon-Biosca Saul A.
Published: August 2024

The design of flexible road pavements is a complex process as a result of the multiple variables that influence and interact in the models that allow the design of each layer. In recent years, a particular interest has been raised to ensure that climate is considered in pavement design due to temperature and precipitation that influence the deterioration of pavements, impacting their service life. This paper presents a critical review of flexible pavement design methods, from the first ones based on experience, such as empirical methods, to the most recent ones on mechanical–empirical methodologies, where, based on different principles, they determine the thicknesses of the layers that integrate the structure of a pavement to identify how these methods have included climate variables within their methodology. Through this review, it was identified that temperature is incorporated in the dynamic modulus of the asphalt mix, and precipitation and moisture are incorporated through the resilient modulus in the granular layers (base, subbase, and foundation soil or subgrade courses). As a result, it was identified that the most holistic way of integrating climate is through the Enhanced Integrated Climatic Model (EICM) from the Mechanistic–Empirical Pavement Design Guide (MEPDG). In many cases, climate is incorporated through parameters whose behavior is associated with temperature and precipitation but does not use the data of these climate variables directly from the project site. The practical incorporation of climate into design methods allows an increase in the certainty of results, ensuring additional climate-resilient pavement structures and increasing their durability and sustainability during their service life.
A Comparative Analysis of Remote Sensing Estimation of Aboveground Biomass in Boreal Forests Using Machine Learning Modeling and Environmental Data
Authors: Song Jie , Liu Xuelu , Adingo Samuel , Guo Yanlong , Li Quanxi
Published: August 2024

It is crucial to have precise and current maps of aboveground biomass (AGB) in boreal forests to accurately track global carbon levels and develop effective plans for addressing climate change. Remote sensing as a cost-effective tool offers the potential to update AGB maps for boreal forests in real time. This study evaluates different machine learning algorithms, namely Light Gradient Boosting Machine (LightGBM), Extreme Gradient Boosting (XGBoost), Random Forest (RF), and Support Vector Regression (SVR), for predicting AGB in boreal forests. Conducted in the Qilian Mountains, northwest China, the study integrated field measurements, space-borne LiDAR, optical remote sensing, and environmental data to develop a training dataset. Among 34 variables, 22 were selected for AGB estimation modeling. Our findings revealed that the LightGBM AGB model had the highest level of accuracy (R2 = 0.84, RMSE = 15.32 Mg/ha), outperforming the XGBoost, RF, and SVR AGB models. Notably, the LightGBM AGB model effectively addressed issues of underestimation and overestimation. We also observed that the disparity in accuracy among the models widens with increasing altitude. Remarkably, the LightGBM AGB model consistently demonstrates optimal performance across all elevation gradients, with residuals generally below 25 Mg/ha for low-value overestimation and below −38 Mg/ha for high-value underestimation. The model developed in this study presents a viable and alternative approach for enhancing AGB estimation accuracy in boreal forests based on remote sensing technology.
Opportunities and Challenges in the Implementation of Modular Construction Methods for Urban Revitalization
Authors: Coskun Cansu , Lee Jinwoong , Xiao Jinwu , Graff Geoffrey , Kang Kyubyung , Besiktepe Deniz
Published: August 2024

The urban landscape is undergoing significant transformations due to economic shifts, urban planning initiatives, technological advancements, and sociopolitical changes. Almost 89% of the U.S. population is projected to reside in urban areas by 2050, which increases a pressing need for innovative and efficient urban revitalization strategies. Modular construction is an extensively researched topic with potential promise for addressing these challenges; however, there is a lack of comprehensive understanding of its specific opportunities and challenges within the context of urban revitalization. This paper explores the potential of modular construction methods as a viable solution in densely populated areas with limited space and competing land uses. This study employs a systematic literature review using PRISMA and mixed methods analysis with NVivo to identify the opportunities and challenges associated with implementing modular construction in urban settings. The findings highlight the advantages of modular construction, including reduced construction time, enhanced quality control, and improved sustainability. However, challenges such as land scarcity, restrictive zoning laws, and the need for innovative planning and collaboration among stakeholders are also emphasized. This paper provides valuable insights for policymakers, urban planners, and developers to effectively leverage modular construction methods for sustainable and efficient urban renewal efforts.
The Impact of Digital Governance on Entrepreneurial Activity in Relatively Poor Areas: Evidence from Tibet, China
Authors: Xu Aiyan , Li Pengji , Xin Xin
Published: August 2024

This paper examines the impact of digital governance on entrepreneurial activity in relatively poor areas from both theoretical and empirical perspectives. Our study is twofold. First, we utilize a economic geography model to theoretically analyze the influence of digital governance on regional entrepreneurial endeavors and develop research hypotheses. Second, using county panel data from Tibet spanning from 2001 to 2021, we empirically examine the influence of digital governance on entrepreneurial activity. The results show that digital governance can significantly increase regional entrepreneurial activity, and that the effect exhibits an upward and then a downward trend over time, with some spatial spillover effects. We argue that differences in regional network infrastructure are an important heterogeneity factor affecting digital governance’s ability to increase entrepreneurial activity. Our conclusions remain robust to various tests.
Enhancing Distribution Networks with Optimal BESS Sitting and Operation: A Weekly Horizon Optimization Approach
Authors: da Silva Diego Jose , Belati Edmarcio Antonio , López-Lezama Jesús M.
Published: August 2024

The optimal sitting and operation of Battery Energy Storage Systems (BESS) plays a key role in energy transition and sustainability. This paper presents an optimization framework based on a Multi-period Optimal Power Flow (MOPF) for the optimal sitting and operation of BESS alongside PV in active distribution grids. The model was implemented in AMPL (A Mathematical Programming Language) and solved using the Knitro solver to minimize power losses over one week, divided into hourly intervals. To demonstrate the applicability of the proposed model, various analyses were conducted on a benchmark 33-bus distribution network considering 1, 2 and 3 BESS. Along with the reduction in power losses of up to 17.95%, 26% and 29%, respectively. In all cases, there was an improvement in the voltage profile and a more uniform generation curve at the substation. An additional study showed that operating over a one-week horizon results in an energy gain of 1.08 MWh per day compared to single daily operations. The findings suggest that the proposed model for optimal sitting and operation of BESS in the presence of Renewable Energy Sources (RES) applies to real-world scenarios.
Predicting Energy Consumption for Hybrid Energy Systems toward Sustainable Manufacturing: A Physics-Informed Approach Using Pi-MMoE
Authors: Yuan Mukun , Liu Jian , Chen Zheyuan , Guo Qingda , Yuan Mingzhe , Li Jian , Yu Guangping
Published: August 2024

Hybrid energy supply systems are widely utilized in modern manufacturing processes, where accurately predicting energy consumption is essential not only for managing productivity but also for driving sustainable development. Effective energy management is a cornerstone of sustainable manufacturing, reducing waste and enhancing efficiency. However, conventional studies often focus solely on predicting single types of energy consumption and overlook the integration of physical laws and information, which are essential for a comprehensive understanding of energy dynamics. In this context, this paper introduces a multi-task physics-informed multi-gate mixture-of-experts (pi-MMoE) model that not only considers multiple forms of energy consumption but also incorporates physical principles through the integration of physical information and multi-task modeling. Specifically, a detailed analysis of manufacturing processes and energy patterns is first conducted to study various energy types and extract relevant physical laws. Next, using industry insights and thermodynamic principles, key equations for energy balance and conversion are derived to create a physics-based loss function for model training. Finally, the pi-MMoE model framework is constructed, featuring multi-expert networks and gating mechanisms to balance cross-task knowledge sharing and expert learning. In a case study of a textile factory, the pi-MMoE model reduced electricity and steam prediction errors by 14.28% and 27.27%, respectively, outperforming traditional deep learning methods. This demonstrates that the model can improve prediction performance, providing a novel approach to intelligent energy management and promoting sustainable development in manufacturing.
Environmental Regulation, Factor Marketisation Allocation and Carbon Emissions Performance: Empirical Evidence from Resource-Based Cities in China
Authors: Wang Jiaming , Lin Chengyao , Wang Xiangyun , Wang Shuwen
Published: August 2024

Resource-based cities had an irreplaceable role in the process of the economic miracle in China. Advancing such cities’ carbon emissions reduction is a crucial aspect of the country’s steady realisation of the dual carbon peak and neutrality strategy. The reasonable implementation of environmental regulation and the efficiency of factor marketisation allocation are the key links for resource-based cities to improve carbon emissions performance, break the resource curse and reduce carbon emissions. Based on this, this study centres on the driving relationship between environmental regulation, the efficiency of factor marketisation allocation and carbon emissions performance as the core research problem. This study takes the panel data of 116 resource-based cities in China from 2006 to 2020 as the research sample; the non-radial meta-frontier total factor carbon emissions performance index is selected as the measurement index of carbon emission performance of resource-based cities based on the applicability analysis of the model. This study explores the characteristics of regional heterogeneity and type heterogeneity of carbon emissions performance driven by environmental regulation under the moderating effect of the efficiency of factor marketisation allocation and further explores the threshold effect, aiming to clarify the driving relationship between the three. The findings reveal that the driving effect of environmental regulation intensity on carbon emissions performance exhibits a fluctuating upward trend, the effect transformed by compliance cost and innovation compensation. The efficiency of factor marketisation allocation has a double threshold superposition effect on carbon emissions performance fluctuation that is driven by environmental regulation, indicating that market and government effectiveness can operate together to improve the carbon emissions performance. Based on these results, this study proposes countermeasures and suggestions for improving carbon emissions performance using environmental regulation and the efficiency of factor marketisation allocation.
Book-Tax Differences during the Crisis: Does Corporate Social Responsibility Matter?
Authors: Saptono Prianto Budi , Mahmud Gustofan , Pratiwi Intan , Purwanto Dwi , Khozen Ismail , Imantoro Lambang Wiji , Wayan Maria Eurelia
Published: August 2024

This study investigates the intricate relationship between corporate financial strategies, encapsulated by book-tax differences (BTDs), and firms’ engagement in corporate social responsibility (CSR) programs during economic crises. Using an unbalanced panel dataset drawn from financial, annual, and sustainability reports of over 97 Indonesian non-financial firms from 2017 to 2022, this study reveals that economic crises and CSR activities positively influence total BTD and permanent differences. Notably, firms strategically leverage CSR initiatives amidst crises to enhance their corporate image and manage internal challenges like aggressive tax planning. The robustness of these findings was validated through endogeneity analysis and by examining sub-samples from industries most impacted by the pandemic. In the industries least affected by the pandemic, the direct impact of CSR on BTD was found to be negative, indicating that in the general context, the CSR programs held by these industries are largely driven by normative motives. However, when specified in the crisis context, CSR serves as a strategic buffer for these industries, which reaffirms the prevalence of CSR strategic motives during Indonesia’s pandemic challenges. The findings suggest policy implications for shareholders, regulators, and policymakers to ensure CSR transparency aligns with long-term corporate values and societal impact, incentivizing genuine CSR practices amidst economic uncertainty. Despite its contributions, the study recommends future research explore different domains of CSR and validate findings across diverse contexts to enrich the understanding of CSR’s role in corporate resilience strategies.
Assessing Climate Change Projections through High-Resolution Modelling: A Comparative Study of Three European Cities
Authors: Ascenso Ana , Augusto Bruno , Coelho Sílvia , Menezes Isilda , Monteiro Alexandra , Rafael Sandra , Ferreira Joana , Gama Carla , Roebeling Peter , Miranda Ana Isabel
Published: August 2024

Climate change is expected to influence urban living conditions, challenging cities to adopt mitigation and adaptation measures. This paper assesses climate change projections for different urban areas in Europe –Eindhoven (The Netherlands), Genova (Italy) and Tampere (Finland)—and discusses how nature-based solutions (NBS) can help climate change adaptation in these cities. The Weather Research and Forecasting Model was used to simulate the climate of the recent past and the medium-term future, considering the RCP4.5 scenario, using nesting capabilities and high spatial resolution (1 km2). Climate indices focusing on temperature-related metrics are calculated for each city: Daily Temperature Range, Summer Days, Tropical Nights, Icing Days, and Frost Days. Despite the uncertainties of this modelling study, it was possible to identify some potential trends for the future. The strongest temperature increase was found during winter, whereas warming is less distinct in summer, except for Tampere, which could experience warmer summers and colder winters. The warming in Genova is predicted mainly outside of the main urban areas. Results indicate that on average the temperature in Eindhoven will increase more than in Genova, while in Tampere a small reduction in annual average temperature was estimated. NBS could help mitigate the increase in Summer Days and Tropical Nights projected for Genova and Eindhoven in the warmer months, and the increase in the number of Frost Days and Icing Days in Eindhoven (in winter) and Tampere (in autumn). To avoid undesirable impacts of NBS, proper planning concerning the location and type of NBS, vegetation characteristics and seasonality, is needed.
Biochar Prepared from Steam-Exploded Bitter Melon Vine for the Adsorption of Methylene Blue from Aqueous Solution: Kinetics, Isotherm, Thermodynamics and Mechanism
Authors: Li Xia , Jia Hongyu , Jiang Lihua , Mou Zhengwei , Zhang Bo , Zhang Zihui , Chen Yan
Published: August 2024

Bitter melon vine (an agricultural waste product with high fiber content) is difficult to treat and has caused problems in the environment. This research aims to produce biochar through low-temperature pyrolysis assisted by non-polluting steam explosion. The physical and chemical properties of the biochar were characterized using scanning electron microscopy (SEM) images, specific surface area measurements (BET), X-ray diffraction patters (XRD), elemental analysis (EA), and Fourier transform infrared spectroscopy (FTIR). Next, the adsorption mechanism of methylene blue (MB) on the steam-exploded bitter melon vine biochar pyrolyzed at 200 °C (qBC200) and the effects of adsorption time, pH, initial concentration, adsorption temperature, and adsorbent dosage on the adsorption effect were investigated. Steam explosion destroyed the dense structure of the plant, increased the number of oxygen-containing surface functional groups, and improved the adsorption performance of the material. Therefore, qBC200 more effectively adsorbed MB than untreated biochar, reaching a saturated adsorption capacity of 267.72 mg/g. The MB adsorption kinetics and isothermal adsorption process of qBC200 align with the pseudo-second-order kinetic model and Langmuir isothermal equation (monolayer adsorption), respectively. The thermodynamic results show that MB adsorbs via a spontaneous, entropy-increasing exothermic reaction. The adsorption mechanism involves electrostatic attraction, hydrogen bonding, and π–π interactions. The prepared biomass with high fiber content is a promising new material for wastewater treatment.
Investigating the Effectiveness of Endogenous and Exogenous Drivers of the Sustainability (Re)Orientation of Family SMEs in Slovenia: Qualitative Content Analysis Approach
Authors: Duh Mojca , Primec Andreja
Published: August 2024

Large proportions of small and medium-sized enterprises (SMEs) are family controlled and play an important role not only in the development of many national economies, but also have great potential to reduce negative effects of human activities on the natural environment and society. This important role of family SMEs has been recognized by the European Union (EU) which has integrated them in its legislative frameworks. The main question addressed in our research is whether family SMEs integrate sustainability concerns into their strategic and operative decisions as required by the EU legislative frameworks. We designed our research with the purpose to broaden our understanding of sustainability (re)orientation of family SMEs and fill the gap in the existing literature on family businesses’ sustainability. We applied a qualitative case study research method where sustainability (re)orientation of 26 family SMEs was explored. The qualitative content analysis was used in the process of analysing data. Theoretically and empirically based cognitions on endogenous and exogenous drivers of the family businesses’ sustainability (re)orientation were applied in interpretation of the research results. Our findings show the low level of sustainability (re)orientation of most of the investigated Slovenian family SMEs. The exogenous drivers have stronger effect on sustainability (re)orientation of family SMEs than endogenous drivers.
Measurement and Spatial-Temporal Evolution of Industrial Carbon Emission Efficiency in Western China
Authors: Suo Ruixia , Bai Yangyuqing
Published: August 2024

As it is an important industrial base in China, it is of great significance to improve the industrial carbon emission efficiency in the western region to promote the low-carbon sustainable development of the region. This paper selects the input–output panel data of 11 provinces in western China from 2010 to 2021, and adopts the three-stage DEA model to measure the industrial carbon emission efficiency in western China under a non-traditional geographic division at the overall and regional levels and analyze its influencing factors. The Dagum Gini coefficient, its decomposition method, and the kernel density estimation method are used to analyze the regional differences and dynamic evolution process of industrial carbon emission efficiency in the western region. The results of the study show that (1) after removing environmental and random factors, the industrial carbon emission efficiency in western China has been improved, but there are inter-regional differences, characterized by “the third region > the second region > the first region”; (2) the levels of green development, shared development, innovative development, and coordinated development have a positive impact on the improvement of industrial carbon emission efficiency in western China, while the level of industrialization has a relatively smaller influence, and economic development, government support, open development level, and energy consumption structure have not yet played a significant role; (3) the spatial differences in the efficiency of industrial carbon emissions in western China have generally increased during the sample period, with inter-regional differences being the main source; and (4) the industrial carbon emission efficiency in western China is characterized by overall improvements in time and space but with stage differences and multi-polarization of regional differences. This study has a certain reference value for improving industrial carbon emission efficiency in western China.
Health Perspectives on the Impact of Historic Neighborhood Street Environments on Children’s Activities
Authors: Zhang Zhanhao , Zhai Baoxin , Hou Shangna , Liu Sitong
Published: August 2024

As street space is the most accessible outdoor area for kids, safeguarding their rights and interests on the streets is paramount for fostering kid-friendly communities. However, due to the absence of public space and inadequate security, the streets in historic neighborhoods are unsuitable for kids’ activities. To uncover the crucial influence of the street environment on children’s physical activity and Body Mass Index (BMI) health, we conducted a questionnaire survey for children aged 6–12 residing in the Xi’an Ming Dynasty City Wall Historical and Cultural Neighborhood (XMDN) and collected 343 valid responses. The analysis delved into children’s BMI statuses, their willingness to engage in street activities (WAS), the frequency (AF), duration (AD), and types (AT) of these activities, as well as their satisfaction with the street environment (SE). Using binary logit and linear regression models, we specifically examined the relationships between children’s BMI health, WAS, AT, AF, AD, and SE satisfaction. The key findings emphasize children’s inherent desire to be active on the streets. Based on the research findings, we suggest reducing traffic speed and widening sidewalks to make children’s street activities safer, optimizing street greening to improve the comfort of children’s activities, and enriching commercial activities on the street to create a fun atmosphere. These measures will collectively increase the duration and frequency of their outdoor activities and contribute to the overall improvement of children’s health and well-being.
Fixed Point Results for New Classes of k-Strictly Asymptotically Demicontractive and Hemicontractive Type Multivalued Mappings in Symmetric Spaces
Authors: Agwu Imo Kalu , Ali Faeem , Igbokwe Donatus Ikechi , Ahmad Iqbal
Published: August 2024

Fixed point theory is a significant area of mathematical analysis with applications across various fields such as differential equations, optimization, and dynamical systems. Recently, multivalued mappings have gained attention due to their ability to model more complex and realistic problems. ln this work, novel classes of nonlinear mappings called k-strictly asymptotically demicontractive-type and asymptotically hemicontractive-type multivalued mappings are introduced in real Hilbert spaces that are symmetric spaces. In addition, we discuss the weak and strong convergence results by considered modified algorithms, and a demiclosedness property, for these classes of mappings are proved. Several non-trivial examples are demonstrated to validate the newly defined mappings. Consequently, the results and iterative methods obtained in this study improve and extend several known outcomes in the literature.
D’Alembert–Lagrange Principle in Symmetry of Advanced Dynamics of Systems
Authors: Negrean Iuliu , Crisan Adina Veronica , Vlase Sorin , Pascu Raluca Ioana
Published: August 2024

The D’Alembert–Lagrange principle is a fundamental concept in analytical mechanics that simplifies the analysis of multi-degree-of-freedom mechanical systems, facilitates the dynamic response prediction of structures under various loads, and enhances the control algorithms in robotics. It is essential for solving complex problems in engineering and robotics. This theoretical study aims to highlight the advantages of using acceleration energy to obtain the differential equations of motion and the generalized driving forces, compared to the classical approach based on the Lagrange equations of the second kind. It was considered a mechanical structure with two degrees of freedom (DOF), namely, a planar robot consisting of two homogeneous rods connected by rotational joints. Both the classical Lagrange approach and the acceleration energy model were applied. It was noticed that while both approaches yielded the same results, using acceleration energy requires only a single differentiation operation, whereas the classical approach involves three such operations to achieve the same results. Thus, applying the acceleration energy method involves fewer mathematical steps and simplifies the calculations. This demonstrates the efficiency and effectiveness of using acceleration energy in dynamic system analysis. By incorporating acceleration energy into the model, enhanced robustness and accuracy in predicting system behavior are achieved.
Wireless Ranging by Evaluating Received Signal Strength of UWB Chaotic Radio Pulses: Effects of Signal Propagation Conditions
Authors: Efremova Elena V. , Kuzmin Lev V.
Published: August 2024

Ultra-wideband radio signals have been the subject of study for several decades. They are used to solve problems of communications and ranging. Measuring the strength (power) of a radio signal is a technically simple way to estimate the distance between the emitter and the receiver of the signal. However, the conditions of signal propagation have a significant impact on the power of the received signal. This work is relevant because chaotic radio pulses are a relatively new type of carrier in wireless technologies, and actual knowledge about the change in signal power in different types of premises is relatively small, so such a study is necessary. In this paper, we study the variation in signal power with distance for chaotic ultra-wideband radio pulses under various propagation conditions. Using experimental measurements in several outdoor (field, roadside) and indoor (corridors, conference room, office) environments, we investigate the effect of propagation conditions on ultra-wideband chaotic radio signals and determine the limits within which the dependence of the calculated power on distance can be approximated by a power law. For this purpose, the results of experimental measurements of the received signal power (a total of about 17.5 M values) were accumulated and analyzed. The accuracy of distance measurement that can be achieved in different conditions is compared and analyzed. It was found that for a 9.5 dBm signal, the range of distances at which the average accuracy is only 15–50 cm when using a power law is 5–7 m indoors and 10–15 m outdoors.
The Relationships between Service Quality, Reputation, and Performance in Hospitality
Authors: Asgeirsson Magnus Haukur , Gudlaugsson Thorhallur , Jóhannesson Gunnar Thór
Published: August 2024

The importance of service quality and a positive reputation, individually leading to enhanced performance of hospitality organizations, is undisputed. However, little is known about their interplay and how they collectively explain the variability in performance. The purpose of this article is to contribute to the understanding of the individual and collective impact of service quality and reputation on variability in performance, categorized as customer satisfaction and loyalty. This study was conducted using quantitative research methods with data derived from hotel guests in Iceland in the summer of 2023. We gathered 1487 valid answers from guests staying at any of the 9 selected hotels, all belonging to the same Icelandic chain. The factor analysis revealed a credible four-factor model that consists of tangible service, performed service, reputation, and performance. All three independent factors had a statistically positive connection with variabilities in performance, and the collective explanation ratio for the model was strong. The independent factors were correlated to a satisfactory level, and tangible service had the strongest unique connection to performance.
Limitations and Modifications of Skin Sensitization NAMs for Testing Inorganic Nanomaterials
Authors: Wareing Britta , Aktalay Hippchen Ayse , Kolle Susanne N. , Birk Barbara , Funk-Weyer Dorothee , Landsiedel Robert
Published: August 2024

Since 2020, the REACh regulation requires toxicological data on nanoforms of materials, including the assessment of their skin-sensitizing properties. Small molecules’ skin sensitization potential can be assessed by new approach methodologies (NAMs) addressing three key events (KE: protein interaction, activation of dendritic cells, and activation of keratinocytes) combined in a defined approach (DA) described in the OECD guideline 497. In the present study, the applicability of three NAMs (DPRA, LuSens, and h-CLAT) to nine materials (eight inorganic nanomaterials (NM) consisting of CeO2, BaSO4, TiO2 or SiO2, and quartz) was evaluated. The NAMs were technically applicable to NM using a specific sample preparation (NANOGENOTOX dispersion protocol) and method modifications to reduce interaction of NM with the photometric and flowcytometric read-outs. The results of the three assays were combined according to the defined approach described in the OECD guideline No. 497; two of the inorganic NM were identified as skin sensitizers. However, data from animal studies (for ZnO, also human data) indicate no skin sensitization potential. The remaining seven test substances were assessed as “inconclusive” because all inorganic NM were outside the domain of the DPRA, and the achievable test concentrations were not sufficiently high according to the current test guidelines of all three NAMs. The use of these NAMs for (inorganic) NM and the relevance of the results in general are challenged in three ways: (i) NAMs need modification to be applicable to insoluble, inorganic matter; (ii) current test guidelines lack adequate concentration metrics and top concentrations achievable for NM; and (iii) NM may not cause skin sensitization by the same molecular and cellular key events as small organic molecules do; in fact, T-cell-mediated hypersensitivity may not be the most relevant reaction of the immune system to NM. We conclude that the NAMs adopted by OECD test guidelines are currently not a good fit for testing inorganic NM.
Impacts of Environmental Concentrations of Nanoplastics on Zebrafish Neurobehavior and Reproductive Toxicity
Authors: Sun Ziqing , Wu Baihui , Yi Jia , Yu Haiyang , He Jiaxuan , Teng Fei , Xi Tong , Zhao Jinlong , Ruan Jing , Xu Peiye , Tao Runchao , Jia Liushuo , Ji Hao
Published: August 2024

Nanoplastics, as emerging environmental pollutants, can transport contaminants across marine environments, polluting pristine ecosystems and being ingested by marine organisms. This transfer poses a severe threat to global aquatic ecosystems and potentially impacts human health through the food chain. Neurobehavioral and reproductive toxicity are critical areas of concern because they directly affect the survival, health, and population dynamics of aquatic species, which can have cascading effects on the entire ecosystem. Using zebrafish as a model organism, we investigated the toxic effects of environmental concentrations of polystyrene nanoplastics (PS-NPs). Behavioral assessments, including the novel tank test and open field test, demonstrated significant neurobehavioral changes, indicating increased anxiety and depressive behaviors. A pathological analysis of brain and gonadal tissues, along with evaluations of neurobehavioral and reproductive toxicity biomarkers, revealed that exposure to PS-NPs leads to brain tissue lesions, inflammatory responses, oxidative stress activation, hormone level disruptions, and gonadal damage. Real-time quantitative PCR studies of reproductive gene expression further showed that PS-NPs disrupt the endocrine regulation pathways of the brain-pituitary-gonadal (BPG) axis, causing reproductive toxicity with sex-specific differences. These findings provide crucial insights into the impacts of nanoplastics on aquatic organisms and their ecological risks, offering theoretical support for future environmental protection and pollutant management efforts.
Characterization of Neonicotinoid Metabolites by Cytochrome P450-Mediated Metabolism in Poultry
Authors: Dam-on Adisorn , Nimako Collins , Kulprasertsri Sittinee , Ikenaka Yoshinori , Yohannes Yared B. , Nakayama Shouta M. M. , Ishizuka Mayumi , Poapolathep Saranya , Poapolathep Amnart , Khidkhan Kraisiri
Published: August 2024

Neonicotinoids, a neuro-effective class of insecticides, are heavily applied in agricultural activities worldwide. Poultry can be exposed to neonicotinoids by several routes, but the knowledge of neonicotinoid’s metabolism in poultry and its associated interspecies differences is highly limited. Hence, this study aims to investigate the species differences in metabolite formations, as well as cytochrome P450 (CYP)-dependent metabolism of four major neonicotinoid compounds, acetamiprid, imidacloprid, clothianidin, and thiamethoxam, in poultry. In vitro biotransformation assays using hepatic microsomes of chicken, ducks, geese, quails, and rats were conducted. Metabolites of neonicotinoids were then screened by LC/Q-TOF and quantified by LC/MS/MS. The results revealed an existence of interspecies differences in the formations of N-[(6-chloro-3-pyridyl) methyl] -N-methyl acetamidine (IM-1-5) of acetamiprid and dm-clothianidin of clothianidin between chicken and other species. In addition, the greatest CYP activities in the metabolism of most neonicotinoid substrates, such as acetamiprid to dm-acetamiprid, imidacloprid to hydroxylated-imidacloprid and imidacloprid-olefin, clothianidin to dm-clothianidin, and thiamethoxam to clothianidin, were found in chicken. These results suggested that the CYPs in chicken may have a greater capacity for metabolism of neonicotinoids compared to other poultry. This study further revealed that the maximum intrinsic clearance of dn-imidacloprid and dn-clothianidin in ducks may be superintended by CYP-mediated nitro-reductions of imidacloprid and clothianidin. Further studies employing CYP recombinant enzymes may be required to elucidate the specific CYP isoforms that may be involved in neonicotinoid metabolism in avian species.
Characteristic Analysis and Health Risk Assessment of PM2.5 and VOCs in Tianjin Based on High-Resolution Online Data
Authors: Huangfu Yanqi , Wang Feng , Dai Qili , Liang Danni , Shi Guoliang , Feng Yinchang
Published: August 2024

This study leveraged 2019 online data of particulate matter (PM2.5) and volatile organic compounds (VOCs) in Tianjin to analyze atmospheric pollution characteristics. PM2.5 was found to be primarily composed of water-soluble ions, with nitrates as the dominant component, while VOCs were predominantly alkanes, followed by alkenes and aromatic hydrocarbons, with notable concentrations of propane, ethane, ethylene, toluene, and benzene. The receptor model identified six major sources of PM2.5 and seven major sources of VOCs. The secondary source is the main contribution source, while motor vehicles and coal burning are important primary contribution sources in PM2.5. And, industrial processes and natural gas volatilization were considered major contributors for VOCs. A health risk assessment indicated negligible non-carcinogenic risks but potential carcinogenic risks from trace metals As and Cr, and benzene within VOCs, underscoring the necessity for focused public health measures. A risk attribution analysis attributed As and Cr in PM to coal combustion and vehicular emissions. Benzene in VOCs primarily originates from fuel evaporation, and industrial and vehicular emissions. These findings underscore the potential for reducing health risks from PM and VOCs through enhanced regulation of emissions in coal, industry, and transportation. Such strategies are vital for advancing air quality management and safeguarding public health.
In Vitro Prediction of Skin-Sensitizing Potency Using the GARDskin Dose–Response Assay: A Simple Regression Approach
Authors: Gradin Robin , Tourneix Fleur , Mattson Ulrika , Andersson Johan , Amaral Frédéric , Forreryd Andy , Alépée Nathalie , Johansson Henrik
Published: August 2024

Toxicological assessments of skin sensitizers have progressed towards a higher reliance on non-animal methods. Current technological trends aim to extend the utility of non-animal methods to accurately characterize skin-sensitizing potency. The GARDskin Dose–Response assay has previously been described; it was shown that its main readout, cDV0 concentration, is associated with skin-sensitizing potency. The ability to predict potency from cDV0 in the form of NESILs derived from LLNAs or human NOELs was evaluated. The assessment of a dataset of 30 chemicals showed that the cDV0 values still correlated strongly and significantly with both LLNA EC3 and human NOEL values (ρ = 0.645–0.787 [p < 1 × 10−3]). A composite potency value that combined LLNA and human potency data was defined, which aided the performance of the proposed model for the prediction of NESILs. The potency model accurately predicted sensitizing potency, with cross-validation errors of 2.75 and 3.22 fold changes compared with NESILs from LLNAs and humans, respectively. In conclusion, the results suggest that the GARDskin Dose–Response assay may be used to derive an accurate quantitative continuous potency estimate of skin sensitizers.
Source Count Distribution of Fermi LAT Gamma-Ray Blazars Using Novel Nonparametric Methods
Authors: Yin Xuhang , Zeng Houdun
Published: August 2024

We utilized a sample from the Fermi-LAT 14-year Source Catalog by adjusting the flux detection threshold, enabling us to derive the intrinsic source count distribution dN/dF25 of extragalactic blazars using nonparametric, unbinned methods developed by Efron and Petrosian and Lynden-Bell. Subsequently, we evaluated the contribution of blazars to the extragalactic gamma-ray background. Our findings are summarized as follows: (1) There is no significant correlation between flux and spectral index values among blazars and their subclasses FSRQs and BL Lacs. (2) The intrinsic differential distributions of flux values exhibit a broken-power-law form, with parameters that closely match previous findings. The intrinsic photon index distributions are well described by a Gaussian form for FSRQs and BL Lacs individually, while a dual-Gaussian model provides a more appropriate fit for blazars as a whole. (3) Blazars contribute 34.5% to the extragalactic gamma-ray background and 16.8% to the extragalactic diffuse gamma-ray background. When examined separately, FSRQs and BL Lacs contribute 19.6% and 13% to the extragalactic gamma-ray background, respectively.
Influenza B Virus Receptor Specificity: Closing the Gap between Binding and Tropism
Authors: Page Caroline K. , Tompkins Stephen Mark
Published: August 2024

Influenza A and influenza B viruses (FLUAV and FLUBV, respectively) cause significant respiratory disease, hospitalization, and mortality each year. Despite causing at least 25% of the annual disease burden, FLUBV is historically understudied. Unlike FLUAVs, which possess pandemic potential due to their many subtypes and broad host range, FLUBVs are thought to be restricted to only humans and are limited to two lineages. The hemagglutinins (HA) of both influenza types bind glycans terminating in α2,6- or α2,3-sialic acids. For FLUAV, the tropism of human- and avian-origin viruses is well-defined and determined by the terminal sialic acid configuration the HA can accommodate, with avian-origin viruses binding α2,3-linked sialic acids and human-origin viruses binding α2,6-linked sialic acids. In contrast, less is known about FLUBV receptor binding and its impact on host tropism. This review discusses the current literature on FLUBV receptor specificity, HA glycosylation, and their roles in virus tropism, evolution, and infection. While the focus is on findings in the past dozen years, it should be noted that the most current approaches for measuring virus–glycan interactions have not yet been applied to FLUBV and knowledge gaps remain.
Revamping Hepatocellular Carcinoma Immunotherapy: The Advent of Microbial Neoantigen Vaccines
Authors: Liang Junze , Liao Yanxia , Tu Zhiwei , Liu Jinping
Published: August 2024

Immunotherapy has revolutionized the treatment paradigm for hepatocellular carcinoma (HCC). However, its efficacy varies significantly with each patient’s genetic composition and the complex interactions with their microbiome, both of which are pivotal in shaping anti-tumor immunity. The emergence of microbial neoantigens, a novel class of tumor vaccines, heralds a transformative shift in HCC therapy. This review explores the untapped potential of microbial neoantigens as innovative tumor vaccines, poised to redefine current HCC treatment modalities. For instance, neoantigens derived from the microbiome have demonstrated the capacity to enhance anti-tumor immunity in colorectal cancer, suggesting similar applications in HCC. By harnessing these unique neoantigens, we propose a framework for a personalized immunotherapeutic response, aiming to deliver a more precise and potent treatment strategy for HCC. Leveraging these neoantigens could significantly advance personalized medicine, potentially revolutionizing patient outcomes in HCC therapy.
Influenza Vaccination in Adults in the United States with COPD before and after the COVID-19 Pandemic (2017–2022): A Multi-Year Cross-Sectional Study
Authors: Wold Marissa , Oancea Sanda Cristina
Published: August 2024

There is limited literature regarding seasonal influenza vaccination (SIV) among those with a history of chronic obstructive pulmonary disease (HCOPD) prior to the COVID-19 pandemic, and no information on the topic assessing the years following the pandemic. This cross-sectional study used the Behavioral Risk Factor Surveillance Survey (BRFSS) data from the years 2017 to 2022 (n = 822,783 adults ages 50–79 years; 50.64% males). The exposure was a HCOPD, and the outcome was SIV within the past year. Weighted and adjusted logistic regression models were conducted overall and by the significant effect modifiers: smoking status, sex, and year. Having an HCOPD significantly increases the weighted adjusted odds (WAO) of SIV when compared to not having an HCOPD overall and by smoking status, sex, and year. For 2017 through 2022, among all current, former, and never smokers with an HCOPD, the WAO of SIV were: 1.36 (1.28, 1.45), 1.35 (1.27, 1.43), and 1.18 (1.09, 1.27), respectively. Among males with an HCOPD who were current, former, and never smokers, the WAO of SIV were: 1.35 (1.23, 1.48), 1.45 (1.33, 1.58), and 1.23 (1.05, 1.44), respectively. Among females with an HCOPD who were current, former, and never smokers, the WAO of SIV were: 1.31 (1.20, 1.43), 1.24 (1.15, 1.35), and 1.13 (1.04, 1.23), respectively. Study findings suggest males had significantly greater WAO ratios of receiving SIV than females in 2020 and 2022, during and after the COVID-19 pandemic. More specifically, males with an HCOPD who were former smokers had significantly greater WAOR of receiving SIV than females in 2020 and 2022. Understanding the potential barriers to SIV receipt by smoking status and sex, especially during a pandemic, and especially for individuals impacted by an HCOPD, is essential for better health interventions in times of a national crisis such as a pandemic. Additionally, SIV receipt is low among those with an HCOPD, and efforts should be made to improve this.
Investigation of the Hepatitis-B Vaccine’s Immune Response in a Non-Alcoholic Fatty Liver Disease Mouse Model
Authors: Kütük Tuğba , Onbaşilar İlyas , Oskay-Halaçli Sevil , Babaoğlu Berrin , Ayhan Selda , Yalçin Sıddika Songül
Published: August 2024

This study aimed to investigate the immunogenicity of the hepatitis B virus (HBV) vaccine by applying a normal and high-dose hepatitis B virus vaccination program in the mice modeling of non-alcoholic fatty liver disease (NAFLD). NAFLD was induced in mouse livers via diet. At the 10-week mark, both groups were divided into 3 subgroups. While the standard dose vaccination program was applied on days 0, 7, and 21, two high-dose programs were applied: one was applied on days 0 and 7, and the other was applied on days 0, 7, and 21. All mice were euthanized. Blood samples from anti-HB titers; T follicular helper, T follicular regulatory, CD27+, and CD38+ cells; and the liver, spleen, and thymus were taken for histopathologic evaluation. NAFLD subgroups receiving high doses showed higher hepatocyte ballooning scores than normal-dose subgroup. There were differences in CD27+ and CD27+CD38+ cells in animals fed on different diets, without any differences or interactions in terms of vaccine protocols. In the NAFLD group, a negative correlation was observed between anti-HB titers and T helper and CD27+ cells, while a positive correlation was observed with CD38+ cells. NAFLD induced changes in immune parameters in mice, but there was no difference in vaccine efficacy among the applied vaccine protocols. Based on this study’s results, high-dose vaccination protocols are not recommended in cases of NAFLD, as they do not enhance efficacy and may lead to increased liver damage.