bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessing CO2 Reduction Effects Through Decarbonization Scenarios in the Residential and Transportation Sectors: Challenges and Solutions for Japan’s Hilly and Mountainous Areas
Authors: Hao Xiyue , Yan Chuyue , Narumi Daisuke
Published: November 2024

Depopulation, aging, and regional decline are becoming increasingly serious issues in Japan’s hilly and mountainous areas. Focusing on mitigating environmental damage and envisioning a sustainable future for these regions, this study examines the potential for reducing CO2 emissions in the residential and transportation sectors by 2050. Bottom-up simulations were used to estimate CO2 emissions. Subsequently, six decarbonization scenarios were formulated, considering various measures from the perspectives of population distribution and technological progress. Based on these scenarios, this study analyzes changes in future population, energy consumption, and CO2 emissions by 2050. The results of this study show the following. (1) Depopulation and aging problems in these regions are expected to become more severe in the future. It is necessary to take action to promote sustainable regional development. (2) Pursuing decarbonization has a positive impact on enhancing regional sustainability; however, maintaining the intensity of measures at the current level could lead to a reduction of only 40% in CO2 emissions per capita by 2050 compared with 2020. (3) Scenarios that strengthen decarbonization measures could achieve a reduction of over 95% by 2050, indicating that carbon neutrality is attainable. However, this will require implementing measures at a higher intensity, especially in the transportation sector.
Social Infrastructure During the COVID-19 Pandemic: Evaluating the Impact of Outdoor Recreation on Pandemic Dynamics in Europe
Authors: Mahran Mahran Gamal N. , Han Haoying , Mabrouk Mahmoud , AbouKorin Salma Antar A.
Published: November 2024

The COVID-19 pandemic has drastically affected mental and physical well-being, leading to significant changes in daily habits and preferences. Given that pandemics require the tear down of most social ties and interactions to limit their inevitable spread, this study delved into the extent to which social infrastructures have been affected, focusing on behavioral shifts in essential services such as retail, recreation, groceries, pharmacies, public transport, parks and open spaces, workplaces, and residential areas. Notably, while most social infrastructures saw a decline in public usage, parks and open spaces experienced increased visitation despite public health measures aimed at minimizing social interactions. This striking increase in park and open space visitations has captured the interest of this study to observe the impact it had on the trajectory of the COVID-19 pandemic, as well as the underlying causes behind this trend. Since Europe was heavily affected by the pandemic, this study focused specifically on European countries over a two-year period (March 2020 to March 2022), covering the severe period of the pandemic. While parks and open spaces initially showed no direct influence on the pandemic trajectory, when closely observing visitation trends, both increases and declines, opposing insights were revealed. This study found that attempts to reduce park and open space visitation were significantly unsuccessful, leading to substantial increases in both the magnitude and duration of visits once restrictions were eased. This surge in park and open space attendance corresponded to notable spikes in new infections during periods of peak visitation. Therefore, urban planning and public health authorities must prioritize safely accommodating the increased park and open space demand while effectively minimizing virus transmission. This involves considering park sizes and proximity, along with implementing a balanced set of crucial public health strategies to support community well-being and resilience.
Optimal Speed Ranges for Different Vehicle Types for Exhaust Emission Control
Authors: Liu Weiwei , Liu Jianbei , Yu Qiang , Shan Donghui , Wang Chao , Wu Zhiwei
Published: November 2024

Controlling vehicle speed is crucial for reducing exhaust emissions and ensuring the sustainable development of road transportation. Currently, speed limits on expressways are primarily set from a safety perspective, with limited research addressing speed limits from an environmental protection standpoint. In this study, based on real-world vehicle experiments and a vehicle flow exhaust emission model, we investigated the exhaust emission characteristics of light passenger vehicles (categorized as M1) and freight vehicles (categorized as N, including N1-minivans, N2-light heavy-duty vehicles, N3-medium heavy-duty vehicles, and N4-large heavy-duty vehicles) both individually and in traffic flows at varying speeds. We take carbon monoxide (CO), nitrogen oxides (NOx), particular matter (PM), and hydrocarbons (HCs) as representative emission components. The emission rate ranking of typical exhaust factors differs between M1-light passenger vehicles and N-freight vehicles. For M1-light passenger vehicles, the order is CO > HC > NOx > PM2.5, while for N-freight vehicles, it is NOx > CO > PM2.5 > HC. Conversely, for freight vehicles, higher speeds correlate with increased exhaust emissions in general, although carbon emissions specifically decrease as the speed increases. The results indicate the following speed limits conducive to sustainable road transportation development and low exhaust and carbon emissions: 90–110 km/h for light passenger vehicles and 80–100 km/h for freight vehicles.
Spatiotemporal Distribution, Bioaccumulation, and Ecological and Human Health Risks of Polycyclic Aromatic Hydrocarbons in Surface Water: A Comprehensive Review
Authors: Wang Zijian , Meng Qingling , Sun Kaicheng , Wen Zhao
Published: November 2024

The release of polycyclic aromatic hydrocarbons (PAHs) by human energy exploitation and excessive environmental use has caused substantial environmental contamination. These compounds bioaccumulate in aquatic environments and translocate through the food chain, posing risks to health and environmental safety. To better understand the risks of PAHs in surface water and food chains, this review summarizes their distribution, concentration levels, sources, and toxicity in various surface water environments. It also examines how PAH bioaccumulation affects aquatic organisms and human health. Globally, PAHs have been detected in both aquatic environments and organisms with an increasing trend. Human activity is the main cause of PAH contamination. The results revealed a distinct geographical distribution of PAH risk influenced by population density, industrial development, climate, and seasonal variations. PAHs are found in remote areas, indicating their medium- and long-range transport by atmospheric dispersion. PAHs bioaccumulate in aquatic organisms and cause direct and indirect toxic effects via biomagnification. PAH bioaccumulation is directly correlated with aquatic pollution. This study also emphasizes the carcinogenicity of compounds such as benzo[a]pyrene, identifying occupational and environmental exposure frequencies as key risk factors. This study enhances our understanding of the dynamics of multiple PAHs in aquatic ecosystems and their health effects, thereby contributing to environmental sustainability.
An Assessment of the Construction and Hydrographic Conditions of Bukhtarma and Ust-Kamenogorsk Reservoirs in the East Kazakhstan Region for 2017–2021
Authors: Zhensikbayeva Nazgul , Saparov Kuat , Kabdrakhmanova Nazym , Atasoy Emin , Yeginbayeva Aigul , Abzeleeva Kamila , Bakin Serik , Sedelev Valeryi , Amangeldy Nazerke
Published: November 2024

The article defines the morphometric, hydrochemical, and hydrobiological parameters of the Ust-Kamenogorsk reservoir, located on the territory of Ablaketka and the Bukhtarma reservoir, formed in the zone of narrowing of the mountain valley (1960), 12 km below the confluence of the Bukhtarma River with the Irtysh River. When determining deviations in indicators of the reservoirs, data from gauging stations have been taken into account. The purpose of the article is to conduct a comprehensive assessment of the current state of two large reservoirs in the East Kazakhstan region during the specified time period. The novelty of this topic lies in its comprehensive approach to assessing various aspects of the reservoirs’ condition in a specific region over a defined period. This approach enables the identification of current trends and issues and facilitates the proposal of practical measures to address them and enhance water resource management. As a result of this research work, after analyzing changes in indicators, the condition of the reservoirs was determined. During the research work, according to the results of hydrochemical studies, the Bukhtarma reservoir is favorable for the habitat of aquatic organisms, and in the Ust-Kamenogorsk reservoir, a positive change in hydrochemical parameters has been noted compared with 2020. In addition, after analyzing the research indicators, it was proposed to form specially protected areas in the Bukhtarma reservoir, suitable for use in connection with the distribution of valuable fish listed in the Red Book of the Republic of Kazakhstan. When demonstrating the location of gauging stations, methods of remote sensing of the earth and the method of geoinformation mapping were used.
Spatial Spillover Effects of Smallholder Households’ Adoption Behaviour of Soil Management Practices Among Push–Pull Farmers in Rwanda
Authors: Kidoido Michael M. , Agboka Komi Mensah , Chidawanyika Frank , Hailu Girma , Belayneh Yeneneh , Mutyambai Daniel Munyao , Owino Rachel , Kassie Menale , Niassy Saliou
Published: November 2024

Push–pull technology (PPT) integrates maize with the legume fodder Desmodium sp. and the border crop Brachiaria sp., aiming to enhance maize production in Rwanda. Despite its potential, the adoption of complementary soil management practices (SMP), vital for PPT’s success, remains low. This study employs spatial econometric methods to evaluate the determinants of SMP adoption and the interdependencies in decision-making among PPT-practicing farmers. We constructed a spatial weight matrix based on a global Moran’s I index and identified optimal model parameters through principal component analysis. Utilizing a spatial Durbin probit model (SDPM), we assessed the spatial interdependence of SMP adoption decisions among maize farmers. Our findings reveal significant spatial dependence in SMP adoption within a 1.962 km radius, with improved seed usage, household income, yield, farmer group membership and size of land cultivated being key factors positively influencing adoption. We propose a “nonequilibrium promotion strategy” to enhance SMP adoption, emphasizing the establishment of pilot regions to broaden outreach. Additionally, fostering technical training and selecting farmers with adequate resources as demonstration leaders can enhance spatial spillover effects. This research provides insights for developing policies to scale up push–pull technology in Rwanda and across Sub-Saharan Africa.
Topological Classes of BTZ Black Holes
Authors: Du Yongbin , Li Haida , Zhang Xiangdong
Published: November 2024

In a recent paper, black holes were viewed as topological thermodynamic defects using generalized off-shell free energy. The aforementioned work indicates that all black hole solutions in the pure Einstein–Maxwell gravity theory could be classified into three different topological classes for four and higher spacetime dimensions. In this paper, we investigate the topological number of BTZ black holes in distinct theories with different charges (Q) and rotational parameters (J). Using generalized free energy and Duan’s ϕ-mapping topological current theory, we found only two topological classes for BTZ spacetime. Particularly, for a BTZ black hole with rotation or in the Einstein–Power–Maxwell theory, there is only one zero point and the total topological number is 1. While for a BTZ black hole in new massive gravity, the global topological charge depends on the value of the specific parameter m, which provides a counter-example for the conjecture that the topological number is independent of the black hole’s parameters.
Semi-Analytical Solutions for the Qi-Type Dynamical System
Authors: Ene Remus-Daniel , Pop Nicolina , Badarau Rodica
Published: November 2024

The aim of present paper is to obtain approximate semi-analytical solutions for the Qi-type dynamical system, while neglecting its chaotic behaviors. These solutions are derived using the Optimal Auxiliary Functions Method (OAFM). The impact of the system’s physical parameters is also investigated. A special case, involving a constant of motion, is considered for which closed-form solutions are obtained. The dynamical system is reduced to a second-order nonlinear differential equation, which is analytically solved through the OAFM procedure. The influence of initial conditions on the system is explored, specifically regarding the presence or absence of symmetries. An exact parametric solution is obtained for a particular case. A good agreement between the analytical and corresponding numerical results is demonstrated, highlighting the accuracy of the proposed method. A comparative analysis underlines the advantages of the OAFM compared to other analytical methods. These findings have numerous technological applications, such as in nonlinear circuits with three channels that involve adapted physical parameters to ensure effective functioning of electronic circuits, as well as in information storage, encryption, and communication systems.
Exploring Symmetry in an Epidemiological Model: Numerical Analysis of Backward Bifurcation and Sensitivity Indices
Authors: Samma Fathia Moh. Al , Avinash N. , Chellamani P. , Albasheir Nafisa A. , Gargouri Ameni , Britto Antony Xavier G. , Almazah Mohammed M. A.
Published: November 2024

In the face of the COVID-19 pandemic, understanding the dynamics of disease transmission is crucial for effective public health interventions. This study explores the concept of symmetry within compartmental models, employing compartmental analysis and numerical simulations to investigate the intricate interactions between compartments and their implications for disease spread. Our findings reveal the conditions under which the disease-free equilibrium is globally asymptotically stable while the endemic equilibrium exhibits local stability. Additionally, we investigate the phenomenon of backward bifurcation, shedding light on the critical role of quarantine measures in controlling outbreaks. By integrating the concept of symmetry into our model, we enhance our understanding of transmission dynamics and provide a robust framework for evaluating intervention strategies. The insights gained from this research are vital for policymakers and health authorities aiming to mitigate the impact of infectious diseases in the future.
A Novel Family of q-Mittag-Leffler-Based Bessel and Tricomi Functions via Umbral Approach
Authors: Khan Waseem Ahmad , Alhazmi Mofareh , Nahid Tabinda
Published: November 2024

Many properties of special polynomials, such as recurrence relations, sum formulas, integral transforms and symmetric identities, have been studied in the literature with the help of generating functions and their functional equations. In this paper, we introduce hybrid forms of q-Mittag-Leffler functions. The q-Mittag-Leffler–Bessel and q-Mittag-Leffler–Tricomi functions are constructed using a q-symbolic operator. The generating functions, series definitions, q-derivative formulas and q-recurrence formulas for q-Mittag-Leffler–Bessel and q-Mittag-Leffler–Tricomi functions are obtained. The Nq-transforms and Nq-transforms of q-Mittag-Leffler–Bessel and q-Mittag-Leffler–Tricomi functions are obtained. These hybrid q-special functions are also studied by plotting their graphs for specific values of the indices and parameters.
Urban Ecological Economic Resilience in China: Spatio-Temporal Evolution, Influencing Factors, and Trend Prediction
Authors: Wang Kexin , Zhang Bowen , Jiang Shuyue , Ding Rui
Published: November 2024

This article adopted exploratory spatio-temporal data analysis (ESTDA), geographic detector, and spatial Markov chain model to analyze the spatio-temporal evolution characteristics, main influencing factors, and future trend predictions of urban ecological economic resilience (EER). The results show that EER has been significantly enhanced, and high-level cities have a “rhombus” spatial distribution pattern. EER has a noticeable spatial agglomeration effect and the range of high–high agglomeration areas has gradually expanded. The LISA time path reflects that the spatial structure of EER is relatively stable, and urban units and neighboring cities show a more apparent synergistic growth trend. Social development, economic support, ecological restoration, and innovation and transformation strongly influence the development of EER, and the interaction between factors is more significant. In the future, EER will still tend to maintain the existing stable and unchanged state, and cross-grade leapfrogging development will not be achieved.
Examining the Impact of Entrepreneurial Orientation, Self-Efficacy, and Perceived Business Performance on Managers’ Attitudes Towards AI and Its Adoption in Hospitality SMEs
Authors: Kukanja Marko
Published: November 2024

In the competitive hospitality sector, the adoption of Artificial Intelligence (AI) is essential for enhancing operational efficiency and improving customer experiences. This study explores how key entrepreneurial traits—Entrepreneurial Orientation (EO), Entrepreneurial Self-Efficacy (ESE), and Perceived Business Performance (PBP)—influence managers’ attitudes toward adopting AI in small- and medium-sized enterprises (SMEs). Ts research utilizes data from 287 respondents, gathered through field research with a survey designed to measure the relationships among constructs, employing structural equation modeling (SEM) for analysis. Results reveal that PBP and certain ESE dimensions, such as Initiating Investor Relationships and Developing New Products, have only a modest positive effect on AI adoption. In contrast, EO—specifically Proactiveness and Innovativeness—exhibits a weak negative impact. Importantly, none of these factors directly affect managers’ attitudes toward AI. Instead, this study highlights that managers’ positive attitudes are the strongest predictors of AI adoption, aligning with the Technology Acceptance Model (TAM). The findings offer new insights into key entrepreneurial factors driving AI adoption and emphasize the need for targeted education and supportive policies to facilitate AI integration in hospitality SMEs. Fostering a positive perspective on AI is more important for adoption than overcoming skepticism, as negative attitudes do not influence AI adoption.
Estimating the Reliability and Sensitivity of a Public Address System Through the Markov Decision Process
Authors: Kumar Pardeep , Kumar Amit
Published: November 2024

This research aims to evaluate the reliability indices of a public address system (PAS) through the Markovian approach. Many organizations and businesses use this system to address or broadcast a message or pass on important information to the huge gatherings assembled at big premises. This system is the nerve of these organizations and businesses. The major components of a PAS are a microphone, mixer, amplifier, and speaker. These components should work in harmony with one another to execute the intended task. Any failure in these components leads to big issues for the public, and they may miss very important information. Therefore, the reliability assessment of this system is of utmost importance. The authors used the Markovian decision process to model the PAS by analyzing the various failure rates and repairs of the components. The explicit expressions for reliability, availability, and MTTF have been obtained for clear understanding about the PAS behavior with time as well as different failures. The sensitivity analysis of reliability is performed as well to determine the critical components of the system. The obtained results show that the reliability of the PAS at 2000 operated hours is 0.8. Also, the finding reflects that the PAS reliability is much sensitive with the failure rate of microphone, mixer, and amplifier.
Disease-Modifying Effect of HBS1L-MYB in HbE/β-Thalassemia Patients in Bangladeshi Population
Authors: Ferdous Jannatul , Tasnim Marzia , Qadri Firdausi , Hosen Md. Ismail , Chowdhury Emran Kabir , Shekhar Hossain Uddin
Published: November 2024

Background: Thalassemias are a group of autosomal recessive disorders and the most common inherited disease worldwide. Fetal hemoglobin (HbF) is the main oxygen carrier protein in the human fetus. Elevated HbF level is known to ameliorate the severity of HbE/β and β-thalassemia. This study aimed to investigate whether two commonly known HbF-associated SNPs (rs28384513 and rs4895441) in the HBS1L-MYB region are associated with HbF level and disease severity in Bangladeshi HbE/β-thalassemia patients. Methods: Blood samples were collected from 160 participants (120 HbE/β-thalassemia patients and 40 healthy controls). Hematological analysis was performed using complete blood count (CBC) and capillary Hb electrophoresis. After genomic DNA extraction, real-time PCR-based high-resolution melting (HRM) for SNP detection, targeting the HBS1L-MYB intergenic region, was done. Results: Patients carrying rs28384513 and rs4895441 SNPs had significantly higher HbF (1.29 ± 1.63 and 1.49 ± 1.7 g/dL, respectively) compared to major allele ‘TT’ and ‘AA’ (0.87 ± 1.1 and 1.19 ± 1.65 g/dL, respectively) with a p-value of 0.01 and 0.03, respectively. It has been detected that HbF levels in SNP-carrying patients significantly correlated with the higher transfusion interval (60 days, r = 0.38, p < 0.0001) and age of first transfusion (65 months, r = 0.26, p < 0.0028) in these patients. Further, non-transfusion-dependent patients had the highest HbF level (2.03 ± 2.05 g/dL) compared to transfusion-dependent moderate (0.58 ± 0.78 g/dL) and severe (0.84 ± 1.27 g/dL) patients generating a significant p-value < 0.0001 in One-Way ANOVA test. The minor allele frequencies of rs28384513 (G) and rs4895441 (G) were found to be 0.43 and 0.11 respectively. Conclusion: These findings suggest that SNPs of HBS1L-MYB may have a role in elevated HbF levels and ameliorating disease severity in terms of transfusion in HbE/β-thalassemia patients.
Polystyrene Nanomicroplastics Aggravate Ammonia-Induced Neurotoxic Effects in Zebrafish Embryos
Authors: Xing Dan , Zheng Wenting , Zhou Huiming , Li Guangyu , Li Yan , Jia Jingwen , Liu Haoling , Luan Ning , Liu Xiaolin
Published: November 2024

The highly hazardous chemical ammonia has been proven to be absorbed by nanoparticles, thereby exerting highly toxic effects on aquatic organisms. As a ubiquitous pollutant in aquatic environments, polystyrene nanomicroplastics (PSNPs) have shown strong adsorption capacity due to their large surface area. Therefore, the potential joint effects of ammonia and PSNPs need to be clarified. In this study, zebrafish embryos were exposed to a water solution with ammonia concentrations (0, 0.1, 1, and 10 mg/L) with or without PSNP (100 μg/L) treatment up to 120 hpf. The results showed that combined exposure increased the accumulation of ammonia and obviously reduced the locomotor speed of zebrafish larvae compared with exposure to ammonia alone. Further studies indicated that PSNPs can aggravate ammonia-induced neurotoxicity by altering the cholinergic system, dopaminergic neurons, and the retinal structure in zebrafish larvae. In addition, our results revealed that ammonia caused significant alterations in the expression of genes related to neurodevelopment and retinal development, and PSNPs exacerbated this adverse effect. In conclusion, PSNPs can aggravate ammonia-induced neurotoxicity in the early stage of zebrafish and their associated health risk to aquatic animals should not be underestimated. The main contribution of this article lies in revealing the synergistic neurotoxicity of ammonia and PSNPs in the early stage of zebrafish. Moreover; it emphasizes that the associated health risks to aquatic animals should not be underestimated.
The Lack of Effect of Botulinum Toxin-A on Upper Limb Activity in Chronic Stroke: A Short Report from the InTENSE Trial
Authors: Cameron Ian D. , Ada Louise , Crotty Maria , Palit Mithu , Huang Lydia , Olver John , Faux Steven G. , Gonzales Senen , Anthonisz Brian , Bowman Malcolm , Watanabe Yuriko , Chow Yan , Milte Rachel , Ratcliffe Julie , English Coralie K. , Lannin Natasha A.
Published: November 2024

We examined the effect of botulinum toxin-A on upper limb impairments and activity limitations in chronic stroke. This study is a secondary analysis of control group data from a national, multicenter, Phase III randomized trial with a masked outcome assessment. We studied 71 stroke survivors who received a botulinum toxin-A injection in any muscle(s) that crosses the wrist due to significant spasticity after a stroke greater than 3 months previously. We measured upper limb activity, spasticity, range of motion, grip strength, pain and other outcomes at injection and three months later. The median difference between injection and 3 months later was 0.0 blocks/s (interquartile range (IQR) 0.0) on the Box and Block Test, 0/4 (IQR 1) on the Tardieu Scale, 4 degrees (IQR 26) of wrist extension, 0.0 kg (IQR 2) of grip strength, 0.0 (IQR 1.5) on the 10 cm visual analogue scale for pain, 0/100 (IQR 21) on the 10 cm visual analogue scale for overall health, 0/3 (IQR 0) for self-care and −2 (IQR 8) for burden of care. In chronic stroke survivors who have little activity in their upper limb, botulinum toxin-A is not effective in improving any measured outcomes and does not appear to be clinically justified in this population with severe activity limitations.
The Association Between Cytomegalovirus Infection and Kidney Damage in the Liver Transplant Setting
Authors: Ossami Saidy Ramin Raul , Eurich Franziska , Globke Brigitta , Schöning Wenzel , Öllinger Robert , Raschzok Nathanael , Pratschke Johann , Eurich Dennis , Dittrich Luca , Dobrindt Eva Maria
Published: November 2024

Introduction: The development of chronic kidney disease (CKD) is a common and significant complication, contributing to morbidity after liver transplantation (LT). Cytomegalovirus (CMV) infection is common in the overall population, and relevant reinfection after LT may occur. CMV-associated kidney damage has been discussed, but the clinical significance on CKD development after LT remains unclear. Methods: A total of 745 patients who underwent LT between 2006 and 2017 were included in this retrospective analysis. Clinical data, as well as laboratory parameters, were analyzed. Univariate and multivariate analysis were performed. Results: The univariate analysis revealed significantly impaired estimated glomerular filtration rates (eGFRs) in patients with histories of CMV infection (81.4 (8–137) mL/min vs. 90.0 (5–147) mL/min; p = 0.004). This effect was confirmed in the multivariate analysis. Post-LT, eGFR was impaired in patients with CMV (re)infection at 6, 12, 36, and 60 months, 10 years, and 15 years after LT. Immunosuppressive levels were comparable between groups. Overall survival was negatively affected by CMV infection (p = 0.001). Discussion: A clinically significant detrimental impact of CMV infection on renal function was observed, that could individualize clinical risk evaluation prior and after LT further. However, the pathophysiological mechanisms behind this observation are not yet understood.
4D-DIA-Based Quantitative Proteomic Analysis Reveals the Involvement of TRPV2 Protein in Duck Tembusu Virus Replication
Authors: Chen Jimin , Yang Fan , Lai Lianjie , Li Huihuang , Pan Chengfu , Bao Xinguo , Lin Weimin , Lin Ruiyi
Published: November 2024

Duck Tembusu virus (DTMUV), a novel positive-sense RNA virus, has caused significant economic losses in the poultry industry of Eastern and Southeast Asia since its outbreak in 2010. Furthermore, the rapid transmission and potential zoonotic nature of DTMUV pose a threat to public health safety. In this study, a 4D-DIA quantitative proteomics approach was employed to identify differentially expressed cellular proteins in DTMUV-infected DF-1 cells, which are routinely used for virus isolation and identification for DTMUV, as well as the development of vaccines against other poultry viruses. One hundred fifty-seven differentially expressed cellular proteins were identified, including 84 upregulated and 73 downregulated proteins at 48 h post-infection, among which CXCL8, DDX3X, and TRPV2 may play crucial roles in viral propagation. Notably, for the upregulated protein TRPV2, the DTMUV replication was inhibited in TRPV2-low-expressing DF-1 cells. In summary, our research represents the application of 4D-DIA quantitative proteomics to analyze the proteomic landscape of DTMUV-infected poultry cells. These findings may provide valuable insights into understanding the interaction mechanism between DTMUV and poultry cells, as well as the identification of disease-resistant host factors in poultry breeding research.
Innate Immune Response Against Batai Virus, Bunyamwera Virus, and Their Reassortants
Authors: Zöller David D. J. A. , Säurich Josefin , Metzger Julia , Jung Klaus , Lepenies Bernd , Becker Stefanie C.
Published: November 2024

Orthobunyaviruses (OBVs) represent a diverse group of RNA viruses, encompassing a progressively increasing number of arboviruses that cause disease in both humans and livestock. Yet, studies investigating these viruses remain scarce despite the critical importance of such knowledge for assessing their zoonotic potential. In this study, we conducted an evaluation of the early immune response against the understudied Batai virus (BATV), as well as the influence of reassortment with the Bunyamwera virus (BUNV) on this response. Using RNA sequencing of infected murine bone marrow-derived dendritic cells, complemented by qPCR assays, we assessed the innate immune response at the transcriptome level. Additionally, we extended the qPCR analysis by including human THP-1-derived dendritic cells and ovine SFT-R cells to identify differences across species. Our results provide the first evidence that BATV elicits a strong innate immune response compared to BUNV, which largely evades early detection. Reassortants exhibited intermediate phenotypes, although unique changes in the early immune response were found as well. These findings provide a starting point for a better understanding of the immune response to BATV. Furthermore, they raise the question of whether reassortment induces changes in the innate immune response that might contribute to the differences in pathogenicity between reassortant OBVs and their parental generations.
Dynamics of PCV2 and PCV3 in the Serum and Oral Fluids of Pigs After PCV2 Vaccination in a Commercial Farm
Authors: Hernández Jesús , Henao-Díaz Alexanda , Reséndiz-Sandoval Mónica , Cota-Valdez Angel , Mata-Haro Verónica , Gimenez-Lirola Luis G.
Published: November 2024

Objectives: This study investigated the dynamics of porcine circovirus type 2 (PCV2) and PCV3 on a commercial farm following PCV2 vaccination. Methods: Serum samples from 35 pigs, starting at 3 weeks of age, were collected weekly until 21 weeks of age. Oral fluids from six pens of pigs of the same age were also analyzed. Viral DNA was assessed in pooled sera and individual oral fluid samples, while antibodies (IgG and IgA) were measured in the serum and oral fluids. Productive parameters, including weekly mortality and cumulative mortality, were evaluated. Results: The results revealed that PCV2 and PCV3 co-infection was detected in pigs at 8 weeks of age, with PCV3 being detected in oral fluids two weeks earlier. PCV3 DNA was detected in oral fluids at 4 weeks of age. PCV2 IgG antibodies in the serum increased gradually after vaccination, peaking at 7 weeks of age, then declined and stabilized until 21 weeks of age. PCV3 IgG antibodies fluctuated early but were uniformly positive after 13 weeks of age. In oral fluids, PCV2 IgG and IgA antibodies showed a strong response only at 3 and 23 weeks of age. In contrast, a strong and consistent IgG response was observed in oral fluids in the absence of PCV2 and PCV3 co-infection of pigs at 3 to 11 weeks of age. The farm’s productive parameters remained stable throughout the study. Conclusions: These findings suggest that PCV2 and PCV3 co-infection, along with high PCV3 detection levels in serum and oral fluids, may have an impact on the efficacy of PCV2 vaccination.
Recent Advances in the Development of Mincle-Targeting Vaccine Adjuvants
Authors: Weth Anya F. , Dangerfield Emma M. , Timmer Mattie S. M. , Stocker Bridget L.
Published: November 2024

The Macrophage-inducible C-type lectin (Mincle) is a pattern-recognition receptor (PRR), which has shown much promise as a molecular target for the development of TH1/TH17-skewing vaccine adjuvants. In 2009, the first non-proteinaceous Mincle ligands, trehalose dimycolate (TDM) and trehalose dibehenate (TDB), were identified. This prompted a search for other Mincle agonists and the exploration of Mincle agonists as vaccine adjuvants for both preventative and therapeutic (anti-cancer) vaccines. In this review, we discuss those classes of Mincle agonists that have been explored for their adjuvant potential. These Mincle agonists have been used as stand-alone adjuvants or in combination with other pathogen-associated molecular patterns (PAMPs) or immunomodulatory agents. We will also highlight recently identified Mincle ligands with hitherto unknown adjuvanticity. Conjugate vaccines that contain covalently linked adjuvants and/or adjuvant–antigen combinations are also presented, as well as the different formulations (e.g., oil-in-water emulsions, liposomes, and particulate delivery systems) that have been used for the codelivery of antigens and adjuvants. Insofar the reader is presented with a thorough review of the potential of Mincle-mediated vaccine adjuvants, including historical context, present-day research and clinical trials, and outstanding research questions, such as the role of ligand presentation and Mincle clustering, which, if better understood, will aid in the development of the much-needed TH1/TH17-skewing vaccine adjuvants.
Analysis of Implementation Strategies for Nationwide HPV Vaccination Programs Across European Union Countries
Authors: Miazga Wojciech , Tatara Tomasz , Gujski Mariusz , Ostrowski Janusz , Pinkas Jarosław , Religioni Urszula
Published: November 2024

Background/Objectives: Human papillomavirus (HPV) vaccination programs play a critical role in the primary prevention of HPV-related diseases, including cervical cancer. However, the principles governing the implementation of these programs vary across European Union (EU) countries. The objective of this study was to analyze and compare the strategies for implementing HPV vaccination programs across the EU, with a focus on access, vaccine selection, and procurement processes. Methods: This study utilized a comprehensive review of official websites from government bodies, public health organizations, and dedicated vaccination platforms in each of the 27 EU member states. Additionally, a search of Tenders Electronic Daily (TED) was conducted to examine the criteria used in tendering processes for vaccine suppliers involved in national HPV vaccination programs. Results: All 27 EU countries provide public funding for HPV vaccination, with 26 countries offering free vaccination for both girls and boys. In 22 of these countries, the nine-valent HPV vaccine is the only option available for free under national programs. Estonia and Ireland are exceptions, where a single dose of Gardasil 9 is administered. Most countries adhere to the approved vaccination schedules, though slight variations exist. The predominant criterion for selecting vaccine suppliers in national tenders is the lowest price offered. Conclusions: HPV vaccination programs across the EU are uniformly funded through public health systems, yet access to free vaccination and specific program details vary by country. These variations reflect the diverse healthcare systems and procurement strategies in place, which can impact the systemic approach to HPV prevention. Further harmonization of vaccine procurement and implementation strategies may enhance the effectiveness and equity of HPV vaccination across Europe.
An Innovative Technique for Fault Analysis of Electric Automated Vehicles
Authors: Li Shiqing , Frey Michael , Gauterin Frank
Published: November 2024

A serious accident might occur as a direct result of a defective component or system, especially at an automated vehicle. The objective of this study is to establish a fault analysis methodology that can effectively improve the reliability of electric and automated vehicles. To achieve this, We proposed a method for identifying potential faults by combining Failure Modes and Effects Analysis (FMEA) with Fault Tree Analysis (FTA), creating a database of possible (example) faults that maps the causal relationship between causes, symptoms and faults, which enables more thorough fault analysis and serves as the foundation for further study. Using the fault database, we demonstrate a practical application involving fault injection and simulation, which can provide a more intuitive and practical representation of the effects of faults. The methodology is validated with the demonstrator vehicle from the joint project. This approach is scalable and can also be well applied to other electric automated vehicles with similar structure, providing a reliable tool to the system fault analysis for future work.
Non-Linear Dynamic Analysis of Timber Frame Structure with Bolted-Fastener Connections
Authors: Catterou Thomas , Sousseau Yann , Elachachi Sidi Mohammed , Chaplain Myriam , Faye Carole
Published: November 2024

Understanding the dynamics of timber structures is essential for the timber structural engineering field, where it is necessary to build predictive numerical models and digital twins. Three similar-sized representative post-beam bracing frames with wood–metal assemblies were tested. Experimental modal analysis gave some indication of the non-linear behaviour of the structure. Then, the frame was submitted to a logarithmic sine sweep, which highlighted some specificities of the non-linear modes: dependence on the sweep direction and amplitude, jump, etc. These phenomena can be explained by friction and shocks in the assemblies. An accurate model of these non-linearities could lead to resilient and more earthquake-resistant timber structures, as the equivalent damping of a non-linear structure is way lower than for a linear one.
Deep Reinforcement Learning for Multi-Objective Real-Time Pump Operation in Rainwater Pumping Stations
Authors: Joo Jin-Gul , Jeong In-Seon , Kang Seung-Ho
Published: November 2024

Rainwater pumping stations located near urban centers or agricultural areas help prevent flooding by activating an appropriate number of pumps with varying capacities based on real-time rainwater inflow. However, relying solely on rule-based pump operations that monitor only basin water levels is often insufficient for effective control. In addition to maintaining a low maximum water level to prevent flooding, pump operation at rainwater stations also requires minimizing the number of pump on/off switches. Reducing pump switch frequency lowers the likelihood of mechanical failure and thus decreases maintenance costs. This paper proposes a real-time pump operation method for rainwater pumping stations using Deep Reinforcement Learning (DRL) to meet these operational requirements simultaneously, based only on currently observable information such as rainfall, inflow, storage volume, basin water level, and outflow. Simulated rainfall data with various return periods and durations were generated using the Huff method to train the model. The Storm Water Management Model (SWMM), configured to simulate the Gasan rainwater pumping station located in Geumcheon-gu, Seoul, South Korea, was used to conduct experiments. The performance of the proposed DRL model was then compared with that of the rule-based pump operation currently used at the station.
Comparative Analysis of Conventional Treatment and Advanced Oxidation Applied to Effluent from Stabilization Ponds in Terms of Subsequent Reuse of Treated Water
Authors: Pauta Guillermina , Vázquez Gabriela , Carrillo Verónica , Torres Carlos
Published: November 2024

The possibility of reusing the effluent from Cuena’s wastewater treatment plant WWTP is analyzed through the application of two treatments: conventional physical–chemical (coagulation, flocculation, sedimentation and filtration, and disinfection) and advanced oxidation with a combination of hydrogen peroxide/ozone. The results show that neither treatment method independently resolves all the limitations of the effluent for reuse, especially regarding organic matter, nutrients, and turbidity. Therefore, the compatibility of the quality of the treated water quality is evaluated for three potential reuses such as unrestricted urban use, recreational use with primary contact, and agricultural irrigation, referencing EPA and Ecuadorian TULSMA standards. This study highlights the need to establish a legal and regulatory framework for water reuse in Ecuador to enable decision-makers to implement sustainable water reuse practices and manage scarcity effectively.
AI-Based Prediction and Safety Measures for Electromechanical Brake Three-Phase Motor Faults
Authors: Jee Hyun
Published: November 2024

In the development of future automotive systems, safety and performance are crucial considerations. The reliable operation of Drum-type Electromechanical Brakes (D-EMBs), key components responsible for vehicle braking, is essential. Previous research has predominantly focused on post-fault response strategies, emphasizing fault detection and diagnosis. However, this study aimed to enhance vehicle safety by predicting motor faults in the D-EMB system and developing corresponding measures. Utilizing AI-based FFT (Fast Fourier Transform) analysis, in this research, we successfully developed a technology for the early detection of motor faults, achieving an accuracy of over 80%. This study contributes to improving the safety of future automobiles and the development of innovative safety technologies.
Effect of Driver Energy Saving Awareness on Energy Consumption in a Microscopic Traffic Model
Authors: Khan Zawar Hussain , Ali Faryal , Gulliver Thomas Aaron , Altamimi Ahmed B. , Alsaffar Mohammad , Khan Wilayat
Published: November 2024

Road traffic significantly impacts global energy consumption and emissions, both of which contribute to climate change. Thus, energy conservation and emission reduction in road transportation are critical concerns, and traffic flow modeling is key to evaluating and improving these metrics. Therefore, this paper develops a microscopic traffic model to characterize energy consumption reflecting driver energy saving awareness. The well-known Intelligent Driver (ID) model cannot predict traffic dynamics within an energy saving driving environment because it is based on a fixed acceleration exponent. Simulation results are presented which demonstrate that the energy consumption in the proposed model decreases as driver energy saving awareness increases. Furthermore, traffic, in the proposed model, experiences smaller variations in flow, speed, acceleration, and density, higher speeds, and less congestion compared to the ID model. Thus, the proposed model can be employed to conserve energy and reduce emissions, thereby decreasing the overall carbon footprint of traffic and contributing to a more sustainable environment.
Households’ Willingness to Use Water from a Solar Water Disinfection Treatment System for Household Purposes
Authors: Afitiri Abdul-Rahaman , Afrifa Ernest Kofi Amankwa
Published: November 2024

The consumption of contaminated water contributes to the global burden of diarrhea and other water-borne diseases, especially among young children. While decentralized solar water disinfection treatment systems (hereafter SODIS) remain a viable option to have safe drinking water, our understanding of the effects of household water treatment before use on willingness to accept and adopt a SODIS is limited. In this study, a complementary log-log regression analysis of the compositional and contextual factors that systematically vary with willingness to accept and adopt a SODIS in the Sawla-Tuna-Kalba (STK) district of Ghana was carried out. Based on our findings, a greater proportion of households (97%) are willing to accept and adopt a SODIS. Compositional and contextual factors such as age, marital status, education, religion, and geographical location significantly contribute to households’ willingness to accept and adopt a SODIS in the STK district of Ghana. Households that treat their water before use (66%, p < 0.05) are more likely to accept and adopt a SODIS compared to those that do not treat their water before use. The findings, therefore, suggest that scaling up SODIS in the STK district is sacrosanct and highlight the necessity to analyse compositional and contextual factors influencing willingness to accept and adopt SODIS. Our findings will inform policies and programs aimed at implementing SODIS in the study area to improve the health of communities that rely on poor-quality drinking water sources.
Did the COVID-19 Crisis Reframe Public Awareness of Environmental Topics as Humanity’s Existential Risks? A Case from the UK
Authors: Troumbis Andreas Y.
Published: November 2024

The COVID-19 pandemic has not just gently nudged but forcefully thrust environmental issues into the forefront of public consciousness. This shift in awareness has been a long-time aspiration of conservation scientists, who have played a crucial role in advocating for recognizing nature’s contributions to human life and a healthy environment. I explain the advantages of using newly available tools and sources of digital data, i.e., the absolute search volume in Google using the flag keywords biodiversity, climate change, and sustainability, Τhe GDELT Project, which monitors the world’s broadcast, print, and web news, and the difference-in-differences method comparing paired samples of public interest before and after the pandemic outbreak. We focus on the case of UK citizens’ public interest. Public interest in the flag keywords in the UK showed a highly significant increase during the pandemic. The results contradict hypotheses or findings presented elsewhere that the public interest is attenuated during and because of the public health crisis. I support growing public awareness of the existential risks springing from human materialism misappropriating nature, environment, and resources. In conclusion, I advocate for a “new conservation narrative” that could be fostered by the increased public interest in environmental topics during the pandemic.