bluuebunny/crossref_metadata_2025 huggingface dataset:
Toward Convenient and Accurate IMU-Based Gait Analysis
Authors: Boutaayamou Mohamed , Pelzer Doriane , Schwartz Cédric , Gillain Sophie , Garraux Gaëtan , Croisier Jean-Louis , Verly Jacques G. , Brüls Olivier
Published: February 2025

While inertial measurement unit (IMU)-based systems have shown their potential in quantifying medically significant gait parameters, it remains to be determined whether they can provide accurate and reliable parameters both across various walking conditions and in healthcare settings. Using an IMU-based system we previously developed, with one IMU module on each subject’s heel, we quantify the gait parameters of 55 men and 46 women, all healthy and aged 40–65, in normal, dual-task, and fast walking conditions. We evaluate their intra-session reliability, and we establish a new reference database of such parameters showing good to excellent reliability. ICC(2,1) assesses relative reliability, while SEM% and MDC% assess absolute reliability. The reliability is excellent for all spatiotemporal gait parameters and the stride length (SL) symmetry ratio (ICC ≥ 0.90, SEM% ≤ 4.5%, MDC% ≤ 12.4%) across all conditions. It is good to excellent for the fast walking performance (FWP) indices of stride (Sr), stance (Sa), double-support (DS), and step (St) times; gait speed (GS); and the GS normalized to leg length (GSn1) and body height (GSn2) (ICC ≥ 0.91, |SEM%| ≤ 10.0%, |MDC%| ≤ 27.6%). Men have a higher swing time (Sw) and SL across all conditions. The following parameters are gender-independent: (1) Sa, DS, GSn1, GSn2; (2) the symmetry ratios of SL and GS, as well as Sa% and Sw% (representing Sa and Sw as percentages of Sr); and (3) the FWPs of Sr, Sa, Sw, DS, St, cadence, Sa% and Sw%. Our results provide reference values with new insights into gender FWP comparisons rarely reported in the literature. The advantages and reliability of our IMU-based system make it suitable in medical applications such as prosthetic evaluation, fall risk assessment, and rehabilitation.
Approach to Pelvic Organ Prolapse: A Urological Perspective
Authors: Campeau Lysanne
Published: February 2025

Pelvic organ prolapse (POP) has an estimated global prevalence of 28 [...]
Empirical Analysis of Barriers to Collaborative Information Sharing in Maritime Logistics Using Fuzzy AHP Approach
Authors: Lee Chang-Woo , Sohn Dong-Gyun , Sang Min-Gyu , Lee Chulung
Published: February 2025

Collaborative information sharing in the maritime logistics supply chain is essential for achieving efficiency, sustainability, and resilience. However, numerous barriers hinder effective information sharing among key stakeholders, including port operators, shipping companies, and trucking firms. This study conducts an empirical analysis involving surveys and interviews with logistics industry experts in South Korea, applying the Fuzzy Analytical Hierarchy Process (Fuzzy AHP) to identify and prioritize critical collaborative information-sharing barriers in the maritime logistics supply chain. Through a comprehensive literature review, a range of barriers was identified, and their relevance was validated through structured surveys with industry experts. The application of Fuzzy AHP, which incorporates the inherent uncertainty in human judgment, enabled the identification of the most critical barriers that require urgent resolution. Based on these findings, a robust and actionable framework is proposed to address the identified challenges, integrating insights from expert interviews and the literature. The framework encompasses strategies such as data standardization, advanced data security, enhanced service compatibility, policy and institutional improvements, and stakeholder engagement. By addressing these critical barriers, the proposed framework aims to foster seamless information sharing and collaboration, ultimately enhancing the efficiency and sustainability of the maritime logistics supply chain.
Marine Zoning: A Two-Decade Bibliographic Analysis—A Systematic Review
Authors: Shaked Mandelberg Yael , Zemah-Shamir Ziv , Schwartz Belkin Inbar , Brenner Steve , Zemah-Shamir Shiri
Published: February 2025

Marine zoning is a widely used spatial tool for managing ocean spaces, minimizing conflicts between uses, and maintaining ecosystem services. This review examines and profiles the use of marine zoning and its potential to support climate resilience and ecosystem services through a systematic PRISMA analysis of 121 articles. The findings highlight the importance of balancing sustainable resource use and human well-being with nature protection through well-tailored zoning objectives. The review underscores the need to expand research on underrepresented marine habitats such as seagrass and algae, which play a critical role in climate change mitigation. Additionally, it highlights the necessity of broadening the scope to consider human activities beyond fisheries, which are often the primary focus. Stakeholder engagement and public awareness are identified as crucial for effective marine zoning planning. A significant gap is noted in the integration of ecosystem services and natural capital into marine zoning research. Furthermore, despite marine zoning’s potential to address climate change challenges, the reviewed articles reveal limited attention to this topic, indicating an urgent need for further research. This review advocates for the incorporation of ecosystem service valuation and climate change considerations into marine zoning to ensure sustainable management that balances ecological preservation with human well-being.
Firms’ Position in the Supply Chain Network, R&D Input, and Innovation Output: Striving for the Top or Settling in the Corner? Implications for Sustainable Growth and Adaptive Capacity
Authors: Cheng Le , Wu Liyuan
Published: February 2025

This study examines the potential constraints that firms may face when occupying central positions within supply chain networks, particularly in terms of innovation. While prior research highlights the benefits of centrality for resource acquisition and knowledge flow, our findings suggest that such positioning can, under certain conditions, hinder innovation. Using unbalanced panel data from Chinese A-share listed firms in Shanghai and Shenzhen (2009–2021), we conduct an empirical investigation into this effect, incorporating the mediating role of R&D investment and the moderating influence of ownership structure. The analysis reveals that supply chain network centrality has a significantly negative impact on total innovation output, invention patents, and low-end patents, with all effects statistically significant at the 0.001 level. This adverse impact is particularly pronounced in state-owned enterprises, where dependence on established networks further restrains innovation. These results suggest that supply chain centrality may hinder firms’ long-term innovation capacity, which could, in turn, weaken their sustainability by limiting their ability to adapt to technological change and evolving industrial environments. These findings suggest that policymakers could implement targeted incentives, such as R&D subsidies, to mitigate the innovation constraints faced by central firms. Meanwhile, corporate managers should adopt strategies like open innovation and supply chain diversification to sustain long-term innovation.
Exploring the Influence and Impact Factors of Park Green Spaces on the Urban Functional Spatial Agglomeration: A Case Study of Hangzhou
Authors: Zhang Shanfeng , Lan Tianbaiyun , Wu Wenting
Published: February 2025

Exploring the relationship between park green spaces and urban functional spaces provides valuable insights into the production of organically integrated urban spaces that combine production, living, and ecological functions. It also offers guidance for urban spatial structure adjustments and supports the development of park-centered cities. Recent studies have demonstrated that park green spaces offer significant ecological and social benefits; however, evaluations have mostly focused on specific indicators of park green spaces, lacking a detailed and comprehensive assessment. Therefore, this study aims to combine multi-source data and various indicators using methods such as spatial profile analysis and geographical detectors to assess the effectiveness of park green spaces in influencing urban clustering. Firstly, it was determined that both park green spaces and urban single and integrated functional spaces in Hangzhou exhibit clustering distribution. Secondly, by measuring the impact of 12 park green spaces on the clustering of urban functional spaces, specific results were obtained. It was found that there are significant differences in the impact effectiveness across different park green spaces. Thirdly, exploring the factors influencing the agglomeration effect of park green spaces on urban functional spaces reveals that transportation, public services and administration, and residential, commercial, and industrial production functions around parks all influence this effect, albeit with diminishing strength in that order. Interaction between any of these functions further enhances the influence, and the introduction of vitality factors helps eliminate potential misjudgments caused by “ghost city” phenomena. Additionally, park characteristics, such as area, service range, and accessibility, all significantly impact the agglomeration effectiveness of urban functional spaces, with the influence further amplified by the interactions between these characteristics. Finally, directions for future research and planning insights are summarized.
Polar Plasticity: Impact of COVID-19 on the US Polar Research Community
Authors: Pfirman Stephanie , Gaughan Monica
Published: February 2025

Polar research was especially affected by the COVID-19 pandemic because of its reliance on travel for remote fieldwork, large-scale scientific infrastructure, ecologically stressed environments, and elevated health risks to remote communities. In this study, we seek to understand how the polar science community responded to these challenges. Our data employ formal documentary evidence from the U.S. National Science Foundation Office of Polar Programs (OPP) and semi-structured interviews with 21 academic polar scientists based in the United States. Combining on-the-ground experiences with real-time responses from a leading federal funding agency reveals impacts and highlights opportunities to support polar research and researchers in the coming years. Polar researchers and OPP were often able to respond to challenges plastically: increasing support for community engagement and onsite staffing, switching methods, pivoting to archival work, or building new theoretical or experimental capacity. That said, pandemic disruptions brought known problems in the field to the fore, such as the investments in time and other resources needed for knowledge co-production and fieldwork. Individual and policy-level strategies to address those problems point the way toward sustainable polar science, including recognition of the multiple methodologies and people needed for successful work; incorporation of technologies that enhance scientific capacity while expanding access and inclusion; and attention to career development, especially for early-career and community collaborators.
Quantitative Evaluation of China’s Carbon Peaking Policies Based on PMC Index Model: Evidence from the First Batch of National Carbon Peak Pilot Provinces and Regions
Authors: Wang Guangchen , Ju Lanqi
Published: February 2025

The carbon peaking policy in China has been established within the context of global climate change, one of the most pressing environmental challenges of the 21st century. This study constructs a quantitative policy evaluation system based on the Policy Model Consistency Index (PMC-Index) model to assess the effectiveness of carbon peaking policies in the provinces selected for China’s first batch of carbon peaking pilot projects. This assessment is crucial for improving policy quality and effectiveness, as well as for providing direction for carbon peaking and carbon neutrality governance. The results show that the 15 carbon peaking action plan policies are generally rated as “good” and “acceptable” with an average score of 6.59. Seven core focus areas were identified within the policy texts, including green development, renewable energy use, technological innovation, key industry promotion, corporate management improvements, ecological protection, and achieving carbon neutrality. The study also identified a PMC surface map, visually illustrating the strengths and weaknesses of the policy texts. While the design of China’s carbon peaking policies is reasonable, there is still room for improvement, especially in integrating economic development with carbon reduction targets, enhancing policy timeliness, expanding policy coverage, increasing public participation, and strengthening market-based policy tools. This study proposes optimization paths for each policy from a specific perspective and provides clear directions for optimizing and improving the overall carbon peaking policy from a general perspective.
Research on the Low-Carbon Spatial Spillover Effect Development of the Digital Economy Enabled by New Quality Productivity
Authors: Peng Li , Mariadas Paul Anthony
Published: February 2025

China has commenced a high-quality development phase, necessitating significant promotion of the digital economy (DE), which includes green advancement as its foundation. Transitioning from a DE into high-quality development requires advancing the concept of new quality productivity (NQP), which unequivocally delineates the direction of Chinese socio-economic progress. Therefore, this study developed a new quality productivity indicator model encompassing three components aligning with NQP: (i) scientific and technological, (ii) green, and (iii) digital productivity. The analysis investigated the crucial role of the NQP in achieving the “double carbon” goal within the DE by utilizing panel data from 30 Chinese provinces between 2012 and 2022. Consequently, the DE substantially reduced carbon emissions (CEs) and exhibited a notable spatial spillover effect. The impact coefficient of the DE on CEs is −0.0583, which is significant at the 1% level. The direct effect and indirect effect analysis revealed that the inhibition effect of the DE on regional CEs was −0.0725 and −0.0964, respectively (significant at the 1% level). The heterogeneity outcomes denoted lower carbon emissions in non-resource-based regions due to the DE. Nevertheless, this process did not exhibit the same impact on resource-based regions. Furthermore, the NQP functioned as the intermediary factor in the correlation between DE development and CEs. This outcome then led to three critical recommendations: (i) the complete release of the digital dividend, (ii) enhanced government attention toward low-carbon environmental protection, and (iii) the establishment of a green technology innovation platform to achieve higher rates of NQP development.
Priority-Driven Resource Allocation with Reuse for Platooning in 5G Vehicular Network
Authors: Kim Tae-Woo , Lee Sanghoon , Lee Dong-Hyung , Park Kyung-Joon
Published: February 2025

Recently, Vehicle-to-Everything (V2X) communication has emerged as a critical technology for enhancing the safety and traffic management of autonomous vehicles. Developing a resource allocation algorithm that enables autonomous vehicles to perceive and react to their surroundings in real time through fast and reliable communication is of paramount importance. This paper proposes a novel resource allocation algorithm that minimizes the degradation of communication performance for non-platoon vehicles while ensuring low-latency, high-reliability communication within vehicle platoons. The proposed algorithm prioritizes platoon vehicles and enhances resource efficiency by simultaneously applying interference-based and distance-based resource reuse techniques. Performance evaluations conducted using the Simu5G simulator demonstrate that the proposed algorithm consistently maintains the average resource allocation rate and delay for both platoon and non-platoon vehicles, even as the number of platoons increases. Specifically, in a congested environment with 60 general vehicles and five platoons, the proposed algorithm achieves an average resource allocation rate of over 90%, significantly outperforming existing algorithms such as Max-C/I, which achieves only 58%, and the priority-based algorithm with 54%, ensuring reliable communication for all vehicles.
Health Resource Networks and Resident Health: Empirical Analysis from China
Authors: Wang Tingting , Gao Minyuan , Wang Jian , Li Yingchao
Published: February 2025

This study examines the health resource networks across China’s 31 provinces and cities (excluding Hong Kong, Macao, and Taiwan) between 2012 and 2021. We construct an evaluation system for health resources using the entropy weight method and analyze the structural evolution of the health resource network through a complex network perspective. Furthermore, a spatial econometric model is employed to investigate the impact of health resource network positions on resident health. Our findings show that communication between nodes in the health resource network increased initially and then decreased, with core communication regions shifting from Central China to East China. The network position of health resources has a significant positive impact on residents’ health and exhibits spatial spillover effects. The impact of network positions is more significant in core regions compared to peripheral areas. This study highlights the importance of optimizing health resource distribution and improving health outcomes by focusing on network positions within China’s health system. These findings contribute to policy development for enhancing public health at both local and regional levels and offer valuable insights for countries facing similar health system challenges.
How Does China Explore the Synergetic Development of Automotive Industry and Semiconductor Industry with the Opportunity for Industrial Transformation?
Authors: Zhang Wang , Zhao Fuquan , Liu Zongwei
Published: February 2025

Amidst the unfolding technological revolution and industrial transformation, the synergistic development between China’s automotive and semiconductor industries has emerged as a salient trend. To explore the potential difficulties and pathways of the synergistic development of the two industries, this study conducted cross-sectional surveys across three phases, specifically in March 2021, March 2022, and March 2024. The first phase of the survey identified that the two industries could mutually promote each other in both technical and market aspects and pinpointed three major challenges: computational capacity bottlenecks, supply chain risks, and unclear industrial cooperation models. The second phase of the survey discussed three opportunities to address the three challenges, respectively: intelligent vehicle infrastructure cooperative system, supply chain localization, and the reconstruction of the technology stack. The third phase of the survey summarized the development experience over the past three years, validated the aforementioned opportunities, and suggested the government promote the digitalization of vehicles and mobility, automotive companies use more domestic chips, and two industries build the ecological cooperation model.
Green Finance Dynamics in G7 Economies: Investigating the Contributions of Natural Resources, Trade, Education, and Economic Growth
Authors: Xiao Chong , Tabish Riya
Published: February 2025

Despite the growing emphasis on sustainable development, the role of green finance in the context of G7 economies remains largely unexplored. The increasing emphasis on green financial transformation motivates this study to analyze the influence of natural resources (NARSs), population (POPS), education (EDCT), trade (TRD), and economic growth (ECNG) on green finance (GRF) in G7. Using panel data from 1996 to 2021, this study employs the Pooled Mean Group Autoregressive Distributed Lag (PMG-ARDL) methodology to investigate both the long-run and short-run relationships among these variables. To address the issue of possible heterogeneity, this study uses Cross-Sectional Autoregressive Distributed Lag (CS-ARDL). Before applying the PMG-ARDL methodology, this study conducted a series of pretests to ensure data reliability and address potential endogeneity issues. These included tests for cross-sectional dependence, slope homogeneity, variance inflation factor (VIF) analysis, Cross-sectionally Augmented Im-Pesaran-Shin (CIPS) unit root testing, and the Westerlund cointegration test. The PMG-ARDL outcomes show a positive relationship between NARS, ECNG, POPS, TRD, EDCT, and GRF. Specifically, a 1% increase in NARS, ECNG, POPS, TRD, and EDCT leads to a corresponding increase in GRF by 0.050%, 1.98%, 1.81%, 0.62%, and 0.20%, respectively. This study provides valuable policy recommendations for G7 countries, emphasizing the need for targeted strategies to enhance green finance through the sustainable management of natural resources, economic growth, education, and trade.
Formal Feature Identification of Vernacular Architecture Based on Deep Learning—A Case Study of Jiangsu Province, China
Authors: Han Pingyi , Hu Shenjian , Xu Rui
Published: February 2025

As an important sustainable architecture, vernacular architecture plays a significant role in influencing both regional architecture and contemporary architecture. Vernacular architecture is the traditional and natural way of building that involves necessary changes and continuous adjustments. The formal characteristics of vernacular architecture are accumulated in the process of sustainable development. However, most of the research methods on vernacular architecture and its formal features are mainly based on qualitative analysis. It is therefore necessary to complement this with scientific and quantitative means. Based on the object detection technique, this paper proposes a quantitative model that can effectively recognize and detect the formal features of architecture. First, the Chinese traditional architecture image dataset (CTAID) is constructed, and the model is trained. Each image has the formal features of “deep eave”, “zheng wen”, “gable” and “long window” marked by experts. Then, to accurately identify the formal features of vernacular architecture in Jiangsu Province, the Jiangsu traditional vernacular architecture image dataset (JTVAID) is created as the object dataset. This dataset contains images of vernacular architecture from three different regions: northern, central, and southern Jiangsu. After that, the object dataset is used to predict the architectural characteristics of different regions in Jiangsu Province. Combined with the test results, it can be seen that there are differences in the architectural characteristics of the northern, middle, and southern Jiangsu. Among them, the “deep eave”, “zheng wen”, “gable”, and “long window” features of the vernacular architecture in southern Jiangsu are very outstanding. Compared with middle Jiangsu, northern Jiangsu has obvious features of “zheng wen” and “gable”, with recognition rates of 45.8% and 27.5%, respectively. The features of “deep eave” and “long windows” are more prominent in middle Jiangsu, with recognition rates of 50.9% and 73.5%, respectively. In addition, architectural images of contemporary vernacular architecture practice projects in the Jiangsu region are selected and they are inputted into the AOD R-CNN model proposed in this paper. The results obtained can effectively identify the feature style of Jiangsu vernacular architecture. The deep-learning-based approach proposed in this study can be used to identify vernacular architecture form features. It can also be used as an effective method for assessing territorial features in the sustainable development of vernacular architecture.
A Method Based on Circular Economy to Improve the Economic Performance of Second-Life Batteries
Authors: Álvarez Fernández Roberto , Castillo Campo Oscar
Published: February 2025

Batteries are essential for the functionality of electric vehicles (EVs), leading to their design with enhanced performance and durability. Consequently, traction batteries are often replaced while they still retain the properties for use in less stressful demanding applications, with lower power and storage requirements. This serves as a notable opportunity for circular economy. The energy management system presented is designed with lithium-ion batteries coming from EVs and repurposed for electricity storage as a smart backup solution for buildings. The system buys and stores energy from the grid during low-cost periods and utilizes the stored electricity to feed the demand, avoiding high electricity prices and smoothing out peak consumptions exceeding a predefined power limit. To illustrate the proposal, a case study is presented based on the Spanish market, analyzing the impact on the electricity savings for end consumers as well as the extended second-life estimation for a pack of batteries. The analysis of the results will help assess if the system is both economically feasible and environmentally sustainable from a circular economy point of view.
Effects of Environmental Chemical Pollutants on Microbiome Diversity: Insights from Shotgun Metagenomics
Authors: Muhie Seid , Gautam Aarti , Mylroie John , Sowe Bintu , Campbell Ross , Perkins Edward J. , Hammamieh Rasha , Garcia-Reyero Natàlia
Published: February 2025

Chemical exposure in the environment can adversely affect the biodiversity of living organisms, particularly when persistent chemicals accumulate over time and disrupt the balance of microbial populations. In this study, we examined how chemical contaminants influence microorganisms in sediment and overlaying water samples collected from the Kinnickinnic, Milwaukee, and Menomonee Rivers near Milwaukee, Wisconsin, USA. We characterized these samples using shotgun metagenomic sequencing to assess microbiome diversity and employed chemical analyses to quantify more than 200 compounds spanning 16 broad classes, including pesticides, industrial products, personal care products, and pharmaceuticals. Integrative and differential comparative analyses of the combined datasets revealed that microbial density, approximated by adjusted total sequence reads, declined with increasing total chemical concentrations. Protozoan, metazoan, and fungal populations were negatively correlated with higher chemical concentrations, whereas certain bacterial (particularly Proteobacteria) and archaeal populations showed positive correlations. As expected, sediment samples exhibited higher concentrations and a wider dynamic range of chemicals compared to water samples. Varying levels of chemical contamination appeared to shape the distribution of microbial taxa, with some bacterial, metazoan, and protozoan populations present only at certain sites or in specific sample types (sediment versus water). These findings suggest that microbial diversity may be linked to both the type and concentration of chemicals present. Additionally, this study demonstrates the potential roles of multiple microbial kingdoms in degrading environmental pollutants, emphasizing the metabolic versatility of bacteria and archaea in processing complex contaminants such as polyaromatic hydrocarbons and bisphenols. Through functional and resistance gene profiling, we observed that multi-kingdom microbial consortia—including bacteria, fungi, and protozoa—can contribute to bioremediation strategies and help restore ecological balance in contaminated ecosystems. This approach may also serve as a valuable proxy for assessing the types and levels of chemical pollutants, as well as their effects on biodiversity.
Synthesis and Evaluation of Melittin-Modified Peptides for Antibacterial Activity
Authors: Xu Xiangxiang , Fu Hongyi , Wu Weihui , Zong Liang , Li Dan , Zhuang Bo , Qi Yelin , Qi Xiuli , Liang Ting
Published: February 2025

Melittin, a naturally occurring antimicrobial peptide, demonstrates broad-spectrum activity, effectively suppressing and eliminating both Gram-positive and Gram-negative bacteria, including specific drug-resistant strains. In this study, molecular simulation software was employed to investigate and modify the structure of melittin with the aim of synthesizing a modified peptide exhibiting enhanced antibacterial potency and assessing its bacteriostatic and antibacterial properties. The primary research objectives were as follows: 1. Preparation and characterization of melittin-modified peptide—Using molecular simulation software, the structure of the melittin-modified peptide was adjusted to predict its activity and select the most appropriate amino acid sequence. The peptide was synthesized through solid-phase peptide synthesis employing the Fmoc strategy and subsequently purified using liquid chromatography. The yield of the purified modified melittin was determined to be 30.97%, and the identity of the product was confirmed by LC-MS and MALDI-TOF-MS. 2. Evaluation of the antimicrobial activity of the melittin-modified peptide—The minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) of melittin and its modified peptide were measured using gradient dilution and plate counting techniques. The results revealed that both melittin and its modified peptide exhibited strong antibacterial efficacy against Gram-positive and Gram-negative bacteria, as well as certain drug-resistant strains. This showed that melittin and its modified peptide have the same antibacterial (killing) effect. A scanning electron microscope analysis indicated that both melittin and its modified peptide were capable of disrupting bacterial cell structures, leading to bacterial cell death.
mRNA Galsomes Vaccine Protects Budgerigars Against Virulent Chlamydia psittaci Challenge
Authors: De Meyst Anne , Van Mieghem Joeri , Chiers Koen , Raemdonck Koen , Verbeke Rein , Lentacker Ine , Vanrompay Daisy
Published: February 2025

Background/Objectives: Chlamydia (C.) psittaci is an avian respiratory pathogen that regularly infects budgerigars (Melopsittacus undulatus) and is a known zoonosis. This study aimed to evaluate the efficacy of a nucleoside-modified mRNA vaccine formulated in lipid nanoparticles (LNPs), either with (mRNA Galsomes) or without (mRNA LNPs) the glycolipid antigen α-Galactosylceramide, in protecting budgerigars against C. psittaci genotype A infection. Methods: Three groups of eight budgerigars received two intramuscular vaccinations with PBS, mRNA LNPs or mRNA Galsomes, and were subsequently challenged via aerosol with the C. psittaci genotype A strain 90/1051. Vaccine efficacy was assessed over 14 days post challenge by monitoring clinical signs, macroscopic and microscopic lesions, pathogen excretion and chlamydial burden in organs. Antibody levels were evaluated at baseline, after vaccination and post challenge. Results: Both mRNA LNPs and mRNA Galsomes induced significant serum antibody responses post booster. Vaccination significantly reduced clinical signs, chlamydial burden in the lungs and macroscopic lesions in conjunctiva, conchae, lungs and thoracic airsacs, compared to controls. Additionally, mRNA Galsomes-treated birds showed a significantly reduced lung inflammation and fewer macroscopic lesions in abdominal airsacs and liver, compared to non-vaccinated animals. These animals also experienced a significantly lower chlamydial burden in the spleen, fewer clinical signs at day 11 and fewer fecal shedding at day 14 post challenge, compared to mRNA LNP-treated animals. Conclusions: This study demonstrated that mRNA vaccination confers partial protection against C. psittaci in budgerigars, with mRNA Galsomes appearing to provide enhanced efficacy. However, the absence of species-specific reagents for assessing cellular immunity in Psittaciformes limits a comprehensive understanding of vaccine-induced protection. The development of psittacine-specific T cell markers and cytokine assays is necessary to further elucidate immune mechanisms and optimize vaccine formulations.
An Analysis of Multi-Coal Seam Mining Impacting Aquifer Water Based on Self-Organizational Maps
Authors: Wei Zhonglin , Ji Yuan , Li Yuan , Fang Huiming , Dong Donglin , Yu Lujia
Published: February 2025

The degradation of groundwater quality due to mining activities is a major public concern globally. This study employed a combination of methods (multivariate statistics, Self-organizing mapping, and PHREEQC hydrogeochemical simulation) to uncover the hydrochemical characteristics and processes of mine water in the Kailuan mining area. Self-organizing mapping (SOM) clustering divided the mine water into three groups, TDS values gradually increased from the first to the third group, and the hydrogeochemical type of mine water gradually changed from Na-HCO3 and CaMg-HCO3 to CaMg-SO4, Na-Cl, and mixed types. Principal component analysis (PCA) revealed that water–rock action and evaporation concentration were major ion concentration factors. According to the molar ion concentration ratio method, the main ions in mine water in Kailuan mining area originate from silicate and sulfate, and a small amount from carbonate rock weathering, and they are influenced by cation exchange. As a result of the PHReactor EQuilibrium Code (PHREEQC) simulation results, it can be concluded that better hydrodynamic conditions in mines are primarily controlled by carbonate dissolution. Mine water with poorer hydrodynamic conditions is mainly controlled by sulfate and carbonate dissolution, with sulfate dissolution having a greater effect. The results of this study provide an important scientific basis for the safe mining of mines and the protection of groundwater resources.
Ozonation Treatment of Simulated Wastewater Containing Characteristic Pollutants from the Petrochemical Industry
Authors: Zhou Yangyang , Yang Zhilin , Chen Siqi , Sun Wenquan , Sun Yongjun
Published: February 2025

This study investigated key factors in the petrochemical industry and evaluated the oxidation performance of ozonation catalytic oxidation for treating phenol-simulated wastewater and actual wastewater spiked with phenol. In simulated phenol wastewater, optimal conditions (ozone dosage of 8 mg/L/min, pH 11, total dissolved solids (TDSs) of 1000 mg/L, and initial phenol concentration of 50 mg/L) yielded a maximum chemical oxygen demand (COD) removal rate of 90.60%. For actual wastewater spiked with phenol under the same conditions, maximum removal rates of phenol, COD, and total organic carbon (TOC) were 65.45%, 63.57%, and 79.65%, respectively. The degradation mechanisms and changes in organic matter during ozonation were analyzed using three-dimensional fluorescence spectroscopy, ultraviolet spectroscopy, and gas chromatography–mass spectrometry (GC-MS). The findings demonstrate that ozonation oxidation is an effective wastewater treatment method, significantly reducing pollutant concentrations and enhancing water quality.
Debilidades de la evaluación formativa virtual en Latinoamérica durante la COVID-19: un análisis sistemático
Authors: Barboza Bastidas Mayolia
Published: February 2025

Esta revisión sistemática tiene como objetivo identificar y analizar las principales debilidades en la aplicación de la evaluación formativa en entornos virtuales durante la pandemia de COVID-19 en Latinoamérica. A través de un análisis de 26 estudios, se han identificado varios desafíos, tales como la falta de preparación docente, limitaciones tecnológicas y brechas digitales. Los resultados sugieren que la ausencia de formación en herramientas tecnológicas y estrategias pedagógicas adecuadas, junto con la infraestructura insuficiente y la falta de interacción personal, dificultaron la implementación efectiva de la evaluación formativa. Este estudio concluye que las debilidades observadas reflejan deficiencias estructurales en los sistemas educativos de la región, lo que subraya la necesidad de políticas educativas que promuevan la capacitación docente, la mejora de la infraestructura y el diseño de estrategias adaptativas.
Evaluación formativa para mejorar los aprendizajes: Revisión sistemática
Authors: Bendezú Monge Tania
Published: February 2025

La evaluación formativa es una estrategia clave para optimizar los procesos de aprendizaje al proporcionar retroalimentación continua a estudiantes y docentes. Este estudio tiene como objetivo analizar la eficacia de la evaluación formativa en la mejora del aprendizaje a través de una revisión sistemática. Se realizó una búsqueda en bases de datos indexadas como Scopus, Web of Science, SciELO y Google Scholar, abarcando el periodo 2017-2022 y empleando términos clave relacionados con el tema. Los resultados indican que la evaluación formativa impacta positivamente en el aprendizaje, favoreciendo la autorregulación y la autonomía estudiantil. Asimismo, permite a los docentes reestructurar sus prácticas pedagógicas en función de las necesidades del alumnado. Se concluye que su implementación eficaz contribuye significativamente al logro de los aprendizajes esperados.
La evaluación formativa en el desempeño docente de la educación básica: Revisión sistemática
Authors: Castillo Alarcón Alfonzo , Solis Trujillo Beymar Pedro
Published: February 2025

La evaluación formativa es un pilar fundamental en la mejora del desempeño docente en educación básica, ya que permite la reflexión pedagógica y la retroalimentación efectiva. Este estudio tuvo como objetivo analizar la evaluación formativa en el desempeño docente mediante una revisión sistemática. Se aplicó la metodología PRISMA para la selección y análisis de fuentes indexadas en Scopus, SciELO, Dialnet, Redalyc, Latindex, Renati y Google Académico, considerando estudios publicados en los últimos cinco años. Los resultados evidenciaron que la evaluación formativa fomenta la reflexión pedagógica, mejora la calidad educativa y se fortalece a través de estrategias como el acompañamiento docente y la retroalimentación. Asimismo, se identificó que la evaluación debe ser integral y continua, considerando criterios éticos y estandarizados. Se concluye que la formación continua y la retroalimentación son elementos clave para optimizar el desempeño docente y responder a las exigencias del contexto educativo actual.
Investigação de acidentes aéreos: métodos modernos, simulações computacionais e comparação entre NTSB e CENIPA
Authors: Scandiuzzi João Rodrigo Vendramini
Published: February 2025

A investigação de acidentes aéreos é fundamental para a segurança da aviação, pois permite a identificação de falhas e a implementação de medidas corretivas. Considerando a evolução tecnológica e a necessidade de aprimoramento contínuo dos processos investigativos, este estudo busca analisar os métodos modernos de investigação, com ênfase no uso de simulações computacionais e na comparação entre as abordagens da National Transportation Safety Board (NTSB) dos Estados Unidos e do Centro de Investigação e Prevenção de Acidentes Aeronáuticos (CENIPA) do Brasil. Para tanto, procede-se a uma revisão bibliográfica e uma análise comparativa de casos relevantes, além de explorar o impacto das novas tecnologias na reconstituição de acidentes. Desse modo, observa-se que o uso de simulações computacionais aprimora a precisão das investigações, permitindo a reprodução detalhada dos eventos e a validação de hipóteses. O estudo evidencia que, embora haja diferenças estruturais e procedimentais entre NTSB e CENIPA, ambos os órgãos contribuem significativamente para a segurança da aviação. Conclui-se que a adoção de ferramentas computacionais e metodologias avançadas potencializa a eficácia das investigações, reduzindo o tempo de resposta e ampliando a capacidade de prevenção de novos acidentes.
Cenário da ocorrência de três doenças parasitárias vetoriais no estado de São Paulo entre 2014-2023
Authors: Santos Mylena Rocha da Silva , Lima Giovanna Oliva , Fernandes Caroline Ferreira , Uesugi Juliana Hiromi Emin , Silva Amanda Vitória do Nascimento da , Costa Hyoana Lurdes Monteiro da , Fonseca Beatriz do Rosario , Barbosa Alice Araujo , Trindade Eliane Leite da , Ferreira Lucas Araújo
Published: February 2025

Objetivo: Este trabalho tem por objetivos identificar a prevalência dos casos de Doença de Chagas Aguda, Leishmaniose Visceral e Malária, no Estado de São Paulo, no período de 2014 a 2023. Método: Estudo descritivo, retrospectivo, transversal, com abordagem quantitativa que utilizou como fonte de dados o Sistema de Informação de Agravos de Notificação (SINAN) disponíveis no banco de dados públicos do Departamento de Informática do Sistema Único de Saúde (DATASUS). Foram analisadas as seguintes variáveis: Ano de Notificação e Abrangência Geográfica. Resultados: Foram registrados cerca de 7 casos de Doença de Chagas Aguda, 995 de Malária e 1.335 de Leishmaniose Visceral entre os anos de 2014 e 2023 em São Paulo, sendo 2017 o de maior registro para LV e DCA, com respectivamente 178 e 2 registros, já para Malária foi 2016 com 122 casos. Conclusões: A ocupação desordenada dos espaços urbanos, estão entre as principais causas de surtos de doenças infecciosas em humanos, e uma grande influência com a proliferação das doenças vetoriais, por tal é necessário o reforço das políticas públicas principalmente para prevenção da Leishmaniose Visceral e Malária, com ponto de atenção para os casos de Doença de Chagas Aguda. Ademais as divulgações sobre como essas patologias são maléficas é indispensável, para poder garantir que os cidadãos tenham conhecimento sobre as doenças, logo, é importante destacar a integração entre pesquisa básica e aplicada para enfrentar os desafios expostos.
Obesidade materna como fator determinante para o desenvolvimento de obesidade infantil: uma revisão da literatura
Authors: Bastos Lavínia Moreira , Bastos Pedro Moreira , Alarcon Mariane de Araújo Messias
Published: February 2025

A obesidade é uma doença crônica caracterizada pelo excesso de gordura corporal, que afeta aproximadamente 650 milhões de pessoas em todo o mundo, incluindo crianças e adolescentes. A obesidade materna, tanto pré-gestacional quanto gestacional, é um fator de risco significativo para o desenvolvimento da obesidade infantil. Esta revisão da literatura tem como objetivo analisar a relação entre a obesidade materna e o posterior desenvolvimento da obesidade em crianças. Foi realizada uma busca nas bases de dados Biblioteca Virtual em Saúde (BVS), PubMed e LILACS, utilizando os descritores obesidade materna”; “obesidade gestacional”; “obesidade infantil”. Os critérios de inclusão envolveram artigos em inglês, português ou espanhol, com foco na obesidade infantil como consequência da obesidade materna e os de exclusão contemplaram artigos sem metodologia clara, artigos não relacionados ao tema, artigos indisponíveis gratuitamente, entre outros. Após aplicação dos filtros, foram selecionados 10 estudos para análise. Os resultados indicaram uma associação clara entre a obesidade materna e o aumento da probabilidade de obesidade infantil, com o IMC materno pré-gestacional e o ganho excessivo de peso gestacional ligados à obesidade infantil. Marcadores inflamatórios e processos metabólicos alterados durante a gravidez têm sido propostos como potenciais mecanismos para esta relação. Além disso, estudos destacam o impacto de um ambiente “obesogênico” no agravamento do risco de obesidade infantil. Concluiu-se que a obesidade materna é um fator predisponente  à obesidade infantil, fazendo-se necessário educar as mulheres sobre os riscos associados à obesidade para a saúde dos seus filhos a longo prazo.
Redução de óxidos de ferro contidos em rejeitos siderúrgicos
Authors: Santos Erinalda Pereira dos , Lima Iasmim Barros Silva , Alves Alesandro Macio Sousa , Gade Sacha Dupin
Published: February 2025

Nos altos fornos, a oxidação do carbono na zona de combustão gerando calor e a subsequente conversão do dióxido de carbono em monóxido (gás redutor) são as principais reações que viabilizam a redução dos óxidos de ferro a ferro metálico. O alto forno é um reator em contracorrente e os gases ascendentes arrastam particulados finos contidos na carga de alimentação. Na etapa de limpeza desse gás, é gerado o pó balão e lama que também é derivada da limpeza do gás. Buscou-se uma maneira de reutilizar estes materiais (finos) já que eles não podem ser reutilizados diretamente nos altos fornos e dessa forma eles ficam sem aplicação. Foi realizada uma montagem para gaseificação do carbono e obtenção de gás redutor e a partir das matérias primas coletadas em uma siderúrgica local (minério de ferro de Carajás, laterita de ferro, lama de alto forno e pó de balão) foram confeccionados aglomerados em quatro blendagens das quais duas foram escolhidas para os ensaios iniciais com (Laterita de ferro + aglomerante e laterita de ferro + lama de alto forno + aglomerante). Após os ensaios em temperatura (850 ºC) e atmosfera contendo monóxido de carbono gerado no gaseificador, observamos que os materiais estavam reagindo magneticamente sem que o teor de FeO nas amostras analisadas tivesse aumentado significativamente, indicando que a magnetização possa ser resultante da obtenção de ferro metálico observado em partículas das amostras após os testes de redução.
Quality Assurance in Distance Higher Education: A Bibliometric Study of Scopus-Indexed Publications Between 1993 and 2024
Authors: Nguyen Huu-Bich , Vu Nguyen Quang-Duy , Dinh Duc-Tai , Pham Hiep-Hung
Published: February 2025

This bibliometric study investigates the evolution and trends in quality assurance in distance higher education (QADHE) through a comprehensive analysis of Scopus-indexed publications spanning from 1993 to 2024. The research aims to address several critical aspects, including publication trends, international collaboration networks, influential authors, primary sources, emerging themes, and keywords within the field of QADHE. Utilizing PRISMA methods, a total of 193 relevant documents were identified, reflecting a growing interest in QADHE over the past three decades. The findings reveal distinct phases in the publication trend, indicating an increasing focus on quality assurance practices in distance higher education. Notably, the significant contributions come from Anglophone countries, underscoring the influence of English-speaking nations in shaping the discourse surrounding QADHE. Furthermore, the collaboration networks highlight a global interest in QADHE, with notable contributions from countries in Asia. This collaborative effort illustrates the importance of cross-border partnerships in advancing research and practices related to quality assurance in distance education. The analysis of influential authors and institutions underscores the diverse geographical distribution of research contributions, featuring prominent figures from both developed and developing nations. This diversity enriches the body of knowledge in QADHE and fosters a more inclusive understanding of quality assurance challenges and solutions across different contexts. The study also identifies key themes within QADHE, such as the integration of technology, methodologies for quality assurance (QA), implementation strategies, and regional perspectives. These themes reflect the dynamic nature of the field and the evolving landscape of distance education, which has been significantly impacted by technological advancements and changing educational paradigms. Additionally, an analysis of co-occurrence keywords indicates a growing emphasis on "open" principles and the utilization of Open Education Resources (OER) to enhance distance higher education (DHE). This shift towards openness suggests a transformative approach to education that prioritizes accessibility and collaboration. Overall, this study provides valuable insights into the evolution and current state of QADHE, highlighting areas for future research and the importance of continuous quality assurance efforts. The findings not only contribute to the existing literature but also serve as a foundation for understanding the implications of quality assurance practices in distance education. As the field continues to evolve, ongoing research is essential to address emerging challenges and to promote effective quality assurance frameworks that can adapt to the needs of diverse educational contexts.