bluuebunny/crossref_metadata_2025 huggingface dataset:
Rootstock Selection for Resisting Cucumber Fusarium Wilt in Hainan and Corresponding Transcriptome and Metabolome Analysis
Authors: Wang Lingyu , Yi Qiuxia , Yu Panpan , Kumar Sunjeet , Zhang Xuyang , Wu Chenxi , Weng Zhenglong , Xing Mengyu , Huo Kaisen , Chen Yanli , Zhu Guopeng
Published: January 2025

Soilborne diseases are important problems in modern agricultural production. Fusarium oxysporum f. sp. cucumerinum (FOC) is one of the predominant soilborne pathogens threatening cucumber cultivation, especially in Hainan, China. This study assessed FOC-resistant rootstocks using incidence rate, disease severity index (DSI), and area under the disease severity index curve (AUDRC), revealing “JinJiaZhen (Mc-4)” as resistant and “JinGangZhuan 1901 (Mc-18)” as susceptible. Comprehensive transcriptome and metabolome analyses were conducted to investigate the defense mechanisms of these rootstocks, revealing key pathways, such as the mitogen-activated protein kinase (MAPK) signaling pathway, starch and sucrose metabolism, and phenylpropanoid biosynthesis, which are crucial for plant disease resistance. Additionally, the study compared the resistance mechanisms of two other rootstocks, Mc-4 and Mc-18, against FOC infection through transcriptomic and metabolomic analyses. Mc-4 exhibited a higher number of differentially expressed genes (DEGs) related to phenylpropanoid biosynthesis compared to Mc-18. Untargeted metabolomics identified 4093 metabolites, with phenylpropanoid biosynthesis, isoquinoline alkaloid biosynthesis, and porphyrin metabolism as primary annotated pathways. On the sixth day post-inoculation, when the number of DEGs and differentially accumulated metabolites (DAMs) was highest, phenylpropanoid biosynthesis emerged as a key pathway in Mc-4, with 37 DEGs and 8 DAMs identified. Notably, Mc-4 showed upregulated expression of genes encoding enzymes involved in phenylpropanoid biosynthesis and increased accumulation of related metabolites, such as coniferyl-aldehyde, coniferyl alcohol, and coniferyl acetate. These findings highlight the differential defense mechanisms between resistant and sensitive rootstocks and provide insights into plant–pathogen interactions. This study’s results will contribute to the development of better and disease-free cucumber varieties, promoting sustainable agriculture.
Thermal, Crystallization, and Toughness Behavior of Polyamide 4/Long-Chain Hyperbranched Polymer Blends
Authors: Shui Linyi , Guo Xianxin , Li Jinrong , Li Zimeng , Zhao Qinghua , Chen Guohua , Zhao Xiaomin
Published: January 2025

Long-chain hyperbranched polyesters (LHBPx, x = 1, 2, 3) with varying lengths of branched chains were synthesized through a thiol-ene click reaction. Subsequently, LHBPx was incorporated into PA4 via the solution method to prepare a LHBPx/PA4 polymer blend, aiming to address the limitations of PA4, such as its narrow thermal processing window (△T = Td5−Tm) and high brittleness. The results demonstrated that the addition of LHBPx enhanced the △T of PA4 from 1.6 °C to 14.5 °C (LHBP3/PA4), increasing the rheological properties of LHBPx/PA4 polymer blends, thereby improving its thermal processability. Compared with PA4, the elongation at the break of the LHBP3/PA4 polymer blend was increased by 20.4%, and the brittle fracture was changed into a ductile fracture. The crystallinity of PA4 was greatly decreased, from 54.41% to 37.42%, owing to the incorporation of LHBPx, whereas Tm of PA4 had almost no change. It was explained that LHBPx hindered the crystal growth stage, whereas it promoted the nucleation stage of PA4, resulting in no significant change in crystal type. Moreover, the longer the branched chain of LHBPx was, the more pronounced the improvement in the thermal processability and toughness of PA4 became. Above all, this work was meaningful for the potential application of PA4 in industrial plastics.
Leveraging Municipal Solid Waste Management with Plasma Pyrolysis and IoT: Strategies for Energy Byproducts and Resource Recovery
Authors: Li Yishuang , Duan Yanbei , Wang Zelong , Maurice Ndungutse Jean , Claire Mugabekazi Joie , Ali Nasir , Giwa Abdulmoseen Segun
Published: January 2025

The escalating challenges of municipal solid waste (MSW) management, exacerbated by the classification of MSW as hazardous waste due to the presence of heavy metals (HMs) and toxic compounds, necessitate innovative treatment strategies. Plasma pyrolysis has emerged as a promising technology for converting MSW into valuable energy byproducts, such as syngas, bio-oil, and slag, while significantly reducing waste volume. However, maintaining optimal operational parameters during the plasma pyrolysis process remains a complex challenge that can adversely affect both the efficiency and the quality and quantity of outputs. To address this issue, the integration of the Internet of Things (IoT) presents a transformative approach. By leveraging IoT technologies, real-time monitoring and advanced data analytics can be employed to optimize the operational conditions of plasma pyrolysis systems, ensuring consistent performance and maximizing resource recovery. This review explores the synergistic integration of plasma pyrolysis and IoT as a novel strategy for MSW management. The slag from plasma treatment can be efficiently channeled into anaerobic digestion (AD) systems, promoting resource recovery through biogas production and the generation of nutrient-rich digestate. This synergy not only mitigates the environmental impacts associated with traditional MSW disposal methods but also paves the way for sustainable energy recovery and resource management. Ultimately, this review presents a comprehensive framework for exploiting plasma pyrolysis and IoT in addressing the pressing issues of hazardous MSW, thereby fostering a circular economy through innovative waste-to-energy solutions.
The Dual Role of Anxiety in Crisis Response: Emotional Intensification and Prosocial Behavior During the COVID-19 Pandemic
Authors: Kim Soohee
Published: January 2025

The COVID-19 pandemic has profoundly impacted mental health, intensifying negative emotions and challenging collective psychological resilience. This study examines the complex psychological interplay between social media engagement, emotional responses, and behavioral outcomes during crises. Using an online survey (N = 500) conducted during the COVID-19 pandemic, the findings reveal that heightened social media use for social interaction is associated with amplified emotional responses—particularly anxiety, anger, and sadness. Among these, anxiety demonstrated a dual role, acting as both a psychological stressor and a motivator for cooperative and prosocial behaviors, such as supporting government policies, volunteering, and donating. In contrast, anger and sadness were not associated with similar behavioral outcomes. These findings highlight the nuanced psychological impact of anxiety during crises, emphasizing its potential to drive adaptive responses amidst heightened emotional distress. This study contributes to a deeper understanding of how emotional and psychological processes, particularly anxiety, influence public behavior during crises, providing insights for mental health interventions and policy strategies.
Hospitality: A Migrant Reading of the Parable of the Returning Son
Authors: Solevåg Anna Rebecca , Marcondes Alves Leonardo
Published: January 2025

This article investigates the concept of hospitality (xenia) in the ancient Mediterranean world and its relevance to contemporary migrant communities. To bridge the gap between ancient texts and modern experiences, we utilize a combined lens of contextual biblical hermeneutics and migration theory to analyze the Parable of the Returning Son (Luke 15:11–32), highlighting the inherent tensions and complexities of welcoming the stranger. Ethnographic research among Latin Pentecostal migrant congregations in the Nordic countries reveals how these communities embody xenia through tangible acts of welcome, risk-taking, and prodigal hospitality. This analysis demonstrates the vital role of hospitality in fostering community building within contexts of mobility. Furthermore, the concept of xenia helps address the limitations of applying modern migration theories directly to ancient contexts by providing a framework for understanding the continuity and evolution of hospitality practices across time and cultures.
Religion, Culture, and Peace: The Social Doctrine of Benedict XVI
Authors: Regoli Roberto
Published: January 2025

This article situates the papacy of Benedict XVI at the crossroads of the twentieth and twenty-first centuries, focusing on theological, cultural, and political developments. It brings out his subtle critique of modernity, his opposition to relativism, and his appeal for a renewed dialogue between Christianity and Enlightenment rationality. It is his sense of faith and reason that, in mutual purifying, forms his support of the public role of religion in peacemaking and moral order. Through moments like the Regensburg Address and his inter-religious dialogues, Benedict XVI emerges as a defender of the place of religion in society while rejecting both religious fundamentalism and secularist reductionism. The paper also examines how Benedict grounded human rights in natural law, thereby differentiating those from other fundamental rights emanating from more contemporary sociopolitical claims. The article places his papacy within the larger frame of Catholic social doctrine, focusing on the role of the Church in promoting peace through cultural and interreligious dialogue, particularly with Islam.
Shamanism and Christianity: Models of Religious Encounters in East Asia
Authors: Li Yang
Published: January 2025

When exploring interactions between Christianity and other religions in East Asia, the place given to the shamanic tradition remains ambiguous and marginal. This article analyzes the religious encounters between shamanism and Christianity in East Asia through specific and representative case studies. This article is divided into three main parts. Section 1 introduces the core terms “shamanism” and “diffusionism”, explaining their general meanings and the specific ways they are used in this study, and provides a regional overview of the cases analyzed in this paper. Sections 2–4 present the historical context and analysis of religious encounters in regions such as Siberia, Mongolia, China (including Taiwan, Southwest China, and Northeast China), Korea, etc. Sections 5 and 6 seek to demonstrate that shamanism operates according to two models: the first characterized by “segregation” and the second by “diffusion”, noting that these models exist on a dynamic continuum. In most historical situations, this study argues that shamanism initially encountered Christianity in a segregation mode, often leading to significant conflicts between the two. Over time, as shamanism’s religious attributes weakened, it paradoxically adapted to a diffusion model, integrating its ethos into other religions, including Christianity. The diffusion model has thus become an appropriate way to understand the current existent form of shamanism in East Asia.
Investigating the Role of Genetic Polymorphisms in External Apical Root Resorption Among Orthodontic Patients: Implications for Treatment Outcomes—A Literature Review
Authors: Charisi Christina , Zisis Vasileios , Poulopoulos Konstantinos , Zisis Stefanos , Poulopoulos Athanasios , Müßig Dieter
Published: January 2025

Background: Among the various forms of root resorption, External Apical Root Resorption (EARR) has garnered particular attention due to its prevalence and potential complications associated with orthodontic interventions. Methods: An electronic search of literature was performed between September 2024 and December 2024 to identify all articles investigating the Role of Genetic Polymorphisms in External Apical Root Resorption Among Orthodontic Patients: Implications for Treatment Outcomes. The search was conducted using MEDLINE (National Library of Medicine)-PubMed with restrictions concerning the date of publication. In particular, we focused on the period 2014–2024 using the following keywords: gene polymorphisms AND orthodontic treatment AND apical root resorption OR external apical root resorption. This was followed by a manual search, and references were used to identify relevant articles. Results: The review showed that certain variations of the following genes may be positively associated with OIEARR: Osteopontin gene, P2RX7, IL-1β, IL-6, IL1RN, OPG, RANK, STAG2, RP1-30E17.2, SSP1, SFRP2, TNFSF11, TNFRSF11A, TNFRSF11B, VDR, CYP27B1, ACT3N, TSC2, WNT3A, LRP1, LRP6. Conversely, the IRAK1 gene has a protective function against the development of OIEARR. Conclusions: Despite these advancements, it is still not feasible to establish new guidelines and clinical protocols based on the existing research findings. The integration of genetic considerations into orthodontic practice has the potential to revolutionize treatment strategies, ensuring that they are not only effective but also respectful of each patient’s unique biological landscape.
Using Integrated Geodetic Data for Enhanced Monitoring of Drought Characteristics Across Four Provinces and Municipalities in Southwest China
Authors: Lu Liguo , Luo Xinyu , Chao Nengfang , Wu Tangting , Liu Zhanke
Published: January 2025

This paper presents an analysis of regional terrestrial water storage (TWS) changes and drought characteristics in Southwest China, encompassing Sichuan Province, Chongqing Municipality, Yunnan Province, and Guizhou Province. Existing geodetic datasets, such as those from the Gravity Recovery and Climate Experiment (GRACE) and its successor satellites (GRACE Follow-On), as well as Global Navigation Satellite System (GNSS) data, face significant challenges related to limited spatial resolution and insufficient station distribution. To address these issues, we propose a novel inversion method that integrates GNSS and GRACE/GFO data by establishing virtual stations for GRACE/GFO data and determining the weight values between GNSS and GRACE/GFO using the Akaike Bayesian Information Criterion (ABIC). This method allows for estimating the TWS changes from December 2010 to June 2023 and monitoring drought conditions in conjunction with hydrometeorological data (precipitation, evapotranspiration, and runoff). The results show strong correlations between TWS changes from the joint inversion and GNSS (0.98) and GRACE/GFO (0.69). The Joint Drought Severity Index (Joint-DSI) indicates five major drought events, with the most severe occurring from July 2022 to June 2023, with an average deficit of 86.133 km³. Extreme drought primarily impacts Sichuan and Yunnan, driven by abnormal precipitation deficits. The joint inversion methodology presented in this study provides a practical approach for monitoring TWS changes and assessing drought characteristics in Southwest China. This paper leverages the complementary strengths of GNSS and GRACE/GFO data and offers new insights into regional water resource management and drought detection.
A Frequency Attention-Enhanced Network for Semantic Segmentation of High-Resolution Remote Sensing Images
Authors: Zhong Jianyi , Zeng Tao , Xu Zhennan , Wu Caifeng , Qian Shangtuo , Xu Nan , Chen Ziqi , Lyu Xin , Li Xin
Published: January 2025

Semantic segmentation of high-resolution remote sensing images (HRRSIs) presents unique challenges due to the intricate spatial and spectral characteristics of these images. Traditional methods often prioritize spatial information while underutilizing the rich spectral context, leading to limited feature discrimination capabilities. To address these issues, we propose a novel frequency attention-enhanced network (FAENet), which incorporates a frequency attention model (FreqA) to jointly model spectral and spatial contexts. FreqA leverages discrete wavelet transformation (DWT) to decompose input images into distinct frequency components, followed by a two-stage attention mechanism comprising inner-component channel attention (ICCA) and cross-component channel attention (CCCA). These mechanisms enhance spectral representation, which is further refined through a self-attention (SA) module to capture long-range dependencies before transforming back into the spatial domain. FAENet’s encoder–decoder architecture facilitates multiscale feature refinement, enabling effective segmentation. Extensive experiments on the ISPRS Potsdam and LoveDA benchmarks demonstrate that FAENet outperforms state-of-the-art models, achieving superior segmentation accuracy. Ablation studies further validate the contributions of ICCA and CCCA. Moreover, efficiency comparisons confirm the superiority of the proposed FAENet over other models.
Machine Learning-Based Resource Management in Fog Computing: A Systematic Literature Review
Authors: Khan Fahim Ullah , Shah Ibrar Ali , Jan Sadaqat , Ahmad Shabir , Whangbo Taegkeun
Published: January 2025

This systematic literature review analyzes machine learning (ML)-based techniques for resource management in fog computing. Utilizing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, this paper focuses on ML and deep learning (DL) solutions. Resource management in the fog computing domain was thoroughly analyzed by identifying the key factors and constraints. A total of 68 research papers of extended versions were finally selected and included in this study. The findings highlight a strong preference for DL in addressing resource management challenges within a fog computing paradigm, i.e., 66% of the reviewed articles leveraged DL techniques, while 34% utilized ML. Key factors such as latency, energy consumption, task scheduling, and QoS are interconnected and critical for resource management optimization. The analysis reveals that latency, energy consumption, and QoS are the prime factors addressed in the literature on ML-based fog computing resource management. Latency is the most frequently addressed parameter, investigated in 77% of the articles, followed by energy consumption and task scheduling at 44% and 33%, respectively. Furthermore, according to our evaluation, an extensive range of challenges, i.e., computational resource and latency, scalability and management, data availability and quality, and model complexity and interpretability, are addressed by employing 73, 53, 45, and 46 ML/DL techniques, respectively.
Improved Cylinder-Based Tree Trunk Detection in LiDAR Point Clouds for Forestry Applications
Authors: Ma Shaobo , Chen Yongkang , Li Zhefan , Chen Junlin , Zhong Xiaolan
Published: January 2025

The application of LiDAR technology in extracting individual trees and stand parameters plays a crucial role in forest surveys. Accurate identification of individual tree trunks is a critical foundation for subsequent parameter extraction. For LiDAR-acquired forest point cloud data, existing two-dimensional (2D) plane-based algorithms for tree trunk detection often suffer from spatial information loss, resulting in reduced accuracy, particularly for tilted trees. While cylinder fitting algorithms provide a three-dimensional (3D) solution for trunk detection, their performance in complex forest environments remains limited due to sensitivity to parameters like distance thresholds. To address these challenges, this study proposes an improved individual tree trunk detection algorithm, Random Sample Consensus Cylinder Fitting (RANSAC-CyF), specifically optimized for detecting cylindrical tree trunks. Validated in three forest plots with varying complexities in Tianhe District, Guangzhou, the algorithm demonstrated significant advantages in the inlier rate, detection success rate, and robustness for tilted trees. The study showed the following results: (1) The average difference between the inlier rates of tree trunks and non-tree points for the three sample plots using RANSAC-CyF were 0.59, 0.63, and 0.52, respectively, which were significantly higher than those using the Least Squares Circle Fitting (LSCF) algorithm and the Random Sample Consensus Circle Fitting (RANSAC-CF) algorithm (p < 0.05). (2) RANSAC-CyF required only 2 and 8 clusters to achieve a 100% detection success rate in Plot 1 and Plot 2, while the other algorithms needed 26 and 40 clusters. (3) The effective distance threshold range of RANSAC-CyF was more than twice that of the comparison algorithms, maintaining stable inlier rates above 0.9 across all tilt angles. (4) The RANSAC-CyF algorithm still achieved good detection performance in the challenging Plot 3. Together, the other two algorithms failed to detect. The findings highlight the RANSAC-CyF algorithm’s superior accuracy, robustness, and adaptability in complex forest environments, significantly improving the efficiency and precision of individual tree trunk detection for forestry surveys and ecological research.
Acoustic Rocket Signatures Collected by Smartphones
Authors: Popenhagen Sarah K. , Garcés Milton A.
Published: January 2025

Rockets generate complex acoustic signatures that can be detected over a thousand kilometers from their source. While many far-field acoustic rocket signatures have been collected and released to the public, very few signatures collected at distances less than 100 km are available. This work presents a curated and annotated dataset of acoustic signatures of 243 rocket launches collected by a network of smartphones stationed at distances between 10 and 70 km from the launch sites, resulting in 1089 individual recordings. Due to the frequency dependence of atmospheric attenuation and the relatively short propagation distances, higher-frequency features not preserved in most publicly available data are observed. The signals are time-aligned to allow for different segments of the signal (ignition, launch, trajectory, chronology) to be more easily examined and compared. Initial analysis of the features of these rocket launch stages is performed, observed features are compared to those found in the existing literature, and comparisons between signals from launches of different rocket types are made. The dataset is annotated and made available to the public to aid future analysis of the characteristics and source mechanisms of rocket acoustics as well as applications such as rocket detection and classification models.
The Urban Building Energy Retrofitting Tool: An Open-Source Framework to Help Foster Building Retrofitting Using a Life Cycle Costing Perspective—First Results for Montréal
Authors: Gavaldà-Torrellas Oriol , Monsalvete Pilar , Ranjbar Saeed , Eicker Ursula
Published: January 2025

Building decarbonization is a major challenge for cities. Deciding which buildings to retrofit buildings, and when and how, is difficult, given the complex interaction between energy costs and investment requirements. Several tools have been developed in recent years to help public and private stakeholders with these decisions, but none cover aspects the authors think are fundamental. For this reason, an urban buildings retrofit tool was developed and is presented in this article. This new tool is based on a bottom-up approach, with all buildings simulated individually, considering aspects such as shading and adjacencies. As a second step, three scenarios with different levels of ambition were implemented in the tool, and the energy demand and emissions resulting from these scenarios were calculated. As a third step, the retrofitting scenarios’ initial investment and operational costs were implemented using a detailed Life Cycle Costing (LCC) approach. A robust and scalable structure was developed and applied to calculate the LCC of various retrofitting scenarios in Montréal, which will be described in detail.
Gambling and Gaming: A Comparative Study of Professional Footballers Versus the General Population
Authors: González-Moret Rafael , Almodóvar-Fernández Isabel , Gimeno María , Blanco Ana , Sánchez-Thevenet Paula , Usó Héctor , Haro Gonzalo , Real-Fernández Antonio
Published: January 2025

(1) Background: Elite sport can increase vulnerability to developing mental health pathologies. The purpose of the study is to determine the frequency at which these behavioural disorders appear in elite footballers and evaluate their relationship with other addictions. (2) Methods: A cross-sectional study was conducted between November 2020 and January 2022 on 306 participants. The variables of gambling and gaming were studied. The different groups were compared using Chi-squared tests. Probabilities exceeding 95% (p-values < 0.05) and residuals results greater than 2 or less than −2 were considered significant. (3) Results: There were significant differences between the two groups in terms of alcohol (p < 0.001), tobacco (p < 0.001), and cannabis (p = 0.016) consumption. We also found differences between those who had a history of a nervous disease (p = 0.015). 6.6% of the of football players had a probable diagnosis of a gambling disorder compared to 1% in the general population (p = 0.011). Among the pathological and non-pathological cases of gambling in the football population, significant differences were found between those with a salary of EUR 900–1500/month (p = 0.027) or a history of a nervous pathology (p = 0.021). (4) Conclusions: This study showed that professional football players were vulnerable to mental health pathologies related to gambling.
Case Study of Ultra-High-Performance Concrete with Urban Sludge Gasification Slag
Authors: Ma Juntao , Huang Yanbo , Li Zhiyong , Yang Manman , Tan Yunfei , Zhao Shunbo
Published: January 2025

This article, for the first time, investigates the potential of Sludge Gasification Slag (SGS), a byproduct of urban sewage sludge gasification, as a lightweight aggregate in ultra-high-performance concrete (UHPC), proposing a novel sustainable solution for the utilization of SGS. The UHPC mix design followed the modified Andreasen and Andersen model, incorporating pretreated SGS, cement, silica fume (SF), river sand, and a high-efficiency water-reducing agent. A total of eight experimental groups were developed, including five pre-wetted groups (I1–I5) and three dry groups (N1–N3), to evaluate the rheological and mechanical properties of UHPC. For the first time, this study combines scanning electron microscopy (SEM) and nitrogen adsorption techniques to investigate the interfacial transition zone (ITZ) and porosity of SGS-UHPC, providing insights into the influence of SGS on the matrix. The results show that SGS, due to its irregular particle shape and high water absorption capacity, negatively impacts the flowability of the fresh mix. However, when the SGS content reached 7.5%, the plastic viscosity of the UHPC mix peaked. Notably, after 28 days of curing, the compressive strength of the 5% pre-wetted SGS group exceeded that of the control group by 5%, indicating a time-dependent strength improvement. This enhancement is primarily attributed to the water release effect of SGS, which optimizes the ITZ and strengthens the overall matrix. The findings suggest that SGS, when used at dosages below 7.5%, can be effectively incorporated into UHPC, offering a promising, environmentally friendly alternative for sustainable construction applications.
Sustainability in Universities: The Triad of Ecological Footprint, Happiness, and Academic Performance Among Brazilian and International Students
Authors: Giannetti Biagio F. , Alves-Pinto Junior Marcos José , Chirinos-Marroquín Maritza , Velazquez Luis , Munguia Nora , Agostinho Feni , Almeida Cecília M. V. B. , Lombardi Ginevra , Liu Gengyuan
Published: January 2025

Universities, as hubs for educating future leaders and decision-makers, hold a crucial role in advancing sustainable development. However, the challenge of effectively integrating sustainability into university practices and student behavior remains significant. The Ecological Footprint, subjective well-being, and academic performance are three critical dimensions that, when evaluated together, offer a comprehensive view of sustainability in the educational context. This study aims to apply a university sustainability assessment model called ’Sunshine’ to university students in a diverse sample of five different countries. Additionally, the study provides a critical analysis of the relationships among the indicators of Ecological Footprint, Happiness, and Academic Performance. This application seeks to test the robustness of the model and explore lifestyle differences among students, providing valuable insights for decision-making in the context of university sustainability. Data were collected through specific questionnaires administered to a representative sample of students, and analyses were conducted using descriptive and inferential statistical techniques. The results show that Brazilian, American, and Peruvian students exhibit an unsustainable lifestyle, requiring more than one planet to support their consumption habits. However, they are considered happy and perform well academically. These students were classified as environmentally distracted, highlighting a disconnect between their environmental awareness and practices. Chinese students showed a high ecological footprint, contrasting with the Italian group, which had an ecological footprint below one planet. However, both groups presented similar results, with low happiness indices and high academic performance. On the other hand, the group of Mexican students was the most sustainable, achieving acceptable levels in all three sustainability indicators. The analyses revealed that academic performance is related to happiness in some groups but not happiness in Ecological Footprint. This study significantly contributes by testing and validating the model in a multicultural and diverse sample, offering insights that can guide institutional policies to promote sustainability in the university environment.
Greening Corporate Environmental, Social, and Governance Performance: The Impact of China’s Carbon Emissions Trading Pilot Policy on Listed Companies
Authors: Zhou Rui , Lou Jiajun , He Bing
Published: January 2025

With carbon emissions continuing to rise, global warming has become a popular research topic. To address climate change, China is taking proactive measures to reduce its carbon emissions. Covering the period between 2009 and 2021, this study utilizes data from 3668 publicly listed companies in China, along with data from their respective cities, to investigate the impact of the carbon emissions trading pilot policy on their environmental, social, and governance (ESG) performance. The conclusions show that the policy has greatly improved corporate ESG performance. However, its impact on the corporate ESG performance has varied over time, across different entities, and among different cities. Furthermore, the companies’ level of green innovation plays a crucial intermediary role. Additionally, a company’s risk-bearing capacity and level of urban green credit support positively moderate the effectiveness of the policy. These findings enrich our understanding of the relationship between the pilot policy and corporate ESG performance.
Mechanism of Crack Development and Strength Deterioration in Controlled Low-Strength Material in Dry Environment
Authors: Peng Wei , Dai Zili
Published: January 2025

The continuous expansion at the urban scale has produced a lot of construction waste, which has created increasingly serious problems in the environmental, social, and economic realms. Reuse of this waste can address these problems and is critical for sustainable development. In recent years, construction waste has been extensively recycled and transformed into highly sustainable construction materials called controlled low-strength materials (CLSMs) in backfilling projects, pile foundation treatment, roadbed cushion layers, and other applications. However, CLSMs often experience shrinkage and cracking due to water loss influenced by climatic temperature factors, which can pose safety and stability risks in various infrastructures. The purpose of this paper was to study the mechanism of crack formation and strength degradation in a CLSM in a dry environment and to analyze the deterioration process of the CLSM at the macro- and micro-scales by using image analysis techniques and scanning electron microscopy (SEM). The test results show that with the drying time, the CLSM samples had different degrees of cracks and unconfined compressive strength (UCS) decreases, and increasing the content of ordinary Portland cement (OPC) reduced the number of cracks. The addition of bentonite with the same OPC content also slowed down the crack development and reduced the loss of UCS. The development of macroscopic cracks and UCS is caused by the microscopic scale, and the weak areas are formed due to water loss in dry environments and the decomposition of gel products, and the integrity of the microstructure is weakened, which is manifested as strength deterioration. This research provides a novel methodology for the reuse of construction waste, thereby offering a novel trajectory for the sustainable progression of construction projects.
Rising Incidence and Spatiotemporal Dynamics of Emerging and Reemerging Arboviruses in Brazil
Authors: Daudt-Lemos Matheus , Ramos-Silva Alice , Faustino Renan , Noronha Tatiana Guimarães de , Vianna Renata Artimos de Oliveira , Cabral-Castro Mauro Jorge , Cardoso Claudete Aparecida Araújo , Silva Andrea Alice , Carvalho Fabiana Rabe
Published: January 2025

Background: Brazil has witnessed the co-circulation of dengue virus (DENV), Zika virus (ZIKV), and chikungunya virus (CHIKV), with outbreaks exacerbated by environmental factors, social determinants, and poor sanitation. The recent re-emergence of Oropouche virus (OROV) has added complexity to vector control strategies, emphasizing the need for integrated approaches to curb arboviruses spread. We aimed to analyze temporal trends and spatial distributions with national scope of these emerging arboviruses. Methods: An ecological study using data from the Brazilian Notifiable Diseases Information System the period from 2023 to 2024 was undertaken. Temporal trends were evaluated using Joinpoint regression, while spatial analysis was conducted using Moran’s I, and local indicators of spatial association. Results: Dengue fever cases increased by 322%, while Oropouche fever (OF) increased by 300%. The states of Amazonas and Espírito Santo reported increases in OF cases. Moran’s I test revealed spatial clustering of DENV and CHIKV. Two municipalities in the state of Mato Grosso do Sul showed cocirculation of DENV, CHIKV, and ZIKV. Conclusions: This study identified a surge in arbovirus cases between 2023 and 2024, with peak incidences from January to March and October to December, linked to favorable climatic conditions. Clustering patterns and co-circulation of arboviruses highlight the need for tailored control and prevention strategies and targeted interventions to mitigate their impact.
Immunogenic Potential of Selected Peptides from SARS-CoV-2 Proteins and Their Ability to Block S1/ACE-2 Binding
Authors: da Silva Lima Lara Cristina , Woiski Thiago Demetrius , de Moura Juliana Ferreira , Rosati Roberto , Minozzo João Carlos , da Silva Emeline Huk , Lucena Aline Castro Rodrigues , Antunes Bruno Cezar , Caldas Sérgio , Duarte Myrian Morato , Santos Maurício Abreu , Gusso Rubens Luiz Ferreira , de Moura Erickson Luiz , Silva Ana Paula Santos , Potzecki Luciana , Maria Ferreira Daniele , Fernandes Elizabeth Soares , de Figueiredo Bonald Cavalcante , de Souza Lauro Mera
Published: January 2025

The first infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes the coronavirus disease 2019 (COVID-19), occurred in December 2019. Within a single month, the disease reached other countries, spreading in a rapid and generalized manner worldwide to cause the COVID-19 pandemic. In Brazil, the number of COVID-19 cases surpassed 38 million. This study was conducted to produce antibodies against SARS-CoV-2 and investigate the immunogenic potential of synthetic peptides containing partial sequences of the main proteins (spike, membrane, and nucleocapsid proteins). In addition, we evaluated the ability of the antibodies to impair the interaction between the spike S1 protein and human ACE-2 protein, which is the main route of entry of the virus into host cells. By immunizing horses with synthetic peptides, we obtained hyperimmune sera with specific anti-SARS-CoV-2 antibodies, which were fragmented to release the F(ab’)2 portion that binds to the different SARS-CoV-2 proteins as a recombinant S1-protein and proteins from a viral lysate. The other F(ab’)2 samples also impaired the interaction between S1 protein and ACE-2 proteins, showing high potential to prevent viral spreading.
Assessing Macrophyte Diversity in the Danube River: Comparing the Effectiveness of Different Sampling Procedures
Authors: Vukov Dragana , Ćuk Mirjana , Nikolić Nataša , Ilić Miloš
Published: January 2025

Accurate assessment of macrophyte diversity is essential for effective river ecosystem management. Discrepancies in sampling protocols can lead to variations in observed biodiversity, which may influence ecological monitoring and management strategies. This study evaluates and compares three sampling methods—the comprehensive “all” survey, Joint Danube Survey (JDS), and National Monitoring Program (NMP)—for assessing macrophyte diversity along the Serbian Danube. We applied Hill numbers and Chao estimators to evaluate sample completeness and diversity for species richness (q = 0), Shannon (q = 1), and Simpson (q = 2) diversity. Asymptotic diversity was estimated using rarefaction and extrapolation methods, and statistical analyses (ANOVA, permutation tests) assessed differences in diversity estimates across sampling methods. The “all” sampling method provided the highest sample completeness and reliable asymptotic diversity estimates, capturing 100% completeness for q = 1 and q = 2. The JDS and NMP datasets showed incomplete sampling for species richness (q = 0), with undetected species richness in both. However, both datasets captured all abundant species for higher diversity orders. Significant differences in diversity estimates between methods were found in some waterbodies, especially for species richness and Shannon diversity. The “all” sampling method most accurately captures true species richness and diversity. While JDS and NMP methods are valuable for assessing higher-order diversity, the two methods may underestimate species richness, particularly in heterogeneous river sections.
Assessment of a Groundwater Potential Zone Using Geospatial Artificial Intelligence (Geo-AI), Remote Sensing (RS), and GIS Tools in Majerda Transboundary Basin (North Africa)
Authors: Ayadi Yosra , Gentilucci Matteo , Ncibi Kaouther , Hadji Rihab , Hamed Younes
Published: January 2025

Groundwater in northwest Tunisia plays a vital role in supporting the domestic, agriculture, industry, and tourism sectors. However, climate change and over-exploitation have led to significant degradation in groundwater quality and quantity. Traditional spatial analysis techniques such as Geographic Information Systems (GIS) and Remote Sensing (RS) are frequently used for assessing groundwater potential and water quality. Yet, these methods are limited by data availability. The integration of Geospatial Artificial Intelligence (Geo-AI) offers improved precision in groundwater potential zone (GWPZ) delineation. This study compares the effectiveness of the Analytical Hierarchy Process (AHP) and advanced Geo-AI techniques using deep learning to map GWPZ in the Majerda transboundary basin, shared between Tunisia and Algeria. By incorporating thematic layers such as rainfall, slope, drainage density, land use/land cover (LU/LC), lithology, and soil, a comprehensive analysis was conducted to assess groundwater recharge potential. The results revealed that both methods effectively delineated GWPZ; however, the Geo-AI approach demonstrated superior accuracy with a classification accuracy rate of approximately 92%, compared to 85% for the AHP method. This indicates that Geo-AI not only enhances the quality of groundwater potential assessments but also offers a reliable alternative to traditional methods. The findings underscore the importance of adopting innovative technologies in groundwater exploration efforts in this critical region, ultimately contributing to more effective and sustainable water resource management strategies.
Sustainable Wastewater Treatment and the Circular Economy
Authors: Zhang Tao
Published: January 2025

At present, the issue of restricted resources and the pressure on the environment are more severe than ever [...]
The role of the Frankfurt Plane in treatment planning and prognosis for patients with unilateral temporomandibular joint ankylosis developed in early childhood
Authors: Zangieva O. T. , Epifanov S. A. , Krainykova L. A. , Topolnitsky O. Z.
Published: January 2025

Relevance. The treatment of unilateral temporomandibular joint (TMJ) ankylosis remains a significant challenge. Children who develop unilateral ankylosis in early childhood frequently exhibit pronounced craniofacial asymmetry. Accordingly, assessing the extent of asymmetry between the left and right sides of the skull, the positional discrepancy of the auditory canals, and the inclination of the Frankfurt plane is crucial for planning future analyses and reconstructing the TMJ fossa during total joint replacement.

Objective. To determine the difference in the Frankfurt plane inclination angle in patients with unilateral TMJ ankylosis that developed in early childhood.

Materials and methods. The study included 38 patients (18 boys and 20 girls) aged 13 to 19 years with unilateral TMJ ankylosis diagnosed between the ages of 1 and 6. All patients underwent head computed tomography (CT), followed by cranial rotation analysis using specialized software to align with the natural head posture. Measurements of cephalometric landmarks Porion (Por) and Orbitale (Or) on both sides of the skull were performed, and the inclination of the Frankfurt plane was assessed using Jacobson 3D digital analysis tools.

Results. CT analysis of 38 patients with unilateral TMJ ankylosis, diagnosed between the ages of 1 and 6, revealed a consistent pattern in the position of the auditory canal and adjacent structures. The Porion on the ankylosed side was, on average, 5.74 mm lower than on the contralateral side. Furthermore, the mean inclination angle of the Frankfurt plane on the ankylosed side exceeded the normal range, averaging 5.48°, while the angle on the contralateral side remained within normal limits (0–3°).

Conclusion. The difference in Frankfurt plane inclination observed in 87% of patients with unilateral TMJ ankylosis developed in early childhood should be taken into account when planning treatment, designing total TMJ prostheses, and forecasting clinical outcomes for this patient population.
Validez y confiabilidad del cuestionario de violencia entre novios (CUVINO) en estudiantes universitarios
Authors: Vásquez Vega Oscar Federico Pedro
Published: January 2025

La violencia en el noviazgo juvenil es un problema que afecta significativamente el bienestar emocional y social de los jóvenes. Este estudio tiene como objetivo analizar la validez y confiabilidad del Cuestionario de Violencia Entre Novios (CUVINO), desarrollado por Rodríguez et al. (2010), en el contexto peruano, específicamente en jóvenes en relaciones de noviazgo. El CUVINO, compuesto por 42 ítems agrupados en ocho dimensiones (desapego, humillación, violencia sexual, coerción, violencia física, roles de género, castigo emocional e instrumental), utiliza una escala Likert de cinco puntos. La investigación, de tipo instrumental, se realizó en una universidad peruana con una muestra intencional de 322 estudiantes de artes gráficas. Los análisis factoriales confirmatorios arrojaron índices de ajuste aceptables (RMSEA: 0.0804 a 0.0811), lo que respalda la validez y confiabilidad del instrumento. Estos hallazgos subrayan su utilidad para fortalecer estrategias preventivas y educativas contra la violencia en relaciones juveniles en contextos académicos y sociales diversos
La ansiedad y el bienestar psicológico en estudiantes universitarios
Authors: Merino Farias Edinson Junior
Published: January 2025

La ansiedad es uno de los trastornos mentales más prevalentes a nivel mundial, con un impacto significativo en el bienestar psicológico. Este estudio analizó la influencia de la ansiedad en el bienestar psicológico de estudiantes de Psicología del I al VI ciclo en una universidad privada de Chincha, Perú, en 2024. Bajo un enfoque cuantitativo y correlacional, se trabajó con una muestra representativa de 77 estudiantes seleccionados mediante cálculo para población finita al 95 % de confianza. Se utilizaron la Escala de Ansiedad de Hamilton, que evalúa ansiedad psíquica y física, y la Escala de Bienestar Psicológico de Ryff, que mide seis dimensiones clave. Los resultados mostraron una correlación negativa fuerte entre ambas variables (r = -0.7897 a -0.8969), confirmando con un 95 % de certeza estadística que la ansiedad afecta de manera adversa el bienestar psicológico estudiantil. Estos hallazgos subrayan la importancia de implementar estrategias preventivas en el contexto universitario
Clima laboral y riesgo psicosocial en una institución educativa peruana
Authors: Claros Roman Felix Antonio
Published: January 2025

Los riesgos psicosociales en docentes de educación básica se manifiestan en la falta de claridad en roles y la presencia de hostigamiento, destacando como objetivo la necesidad de explorar la relación de esta variable con el clima laboral. Este estudio, de tipo descriptivo correlacional, empleó un muestreo intencional censal para seleccionar 148 participantes. La recolección de datos incluyó el uso del instrumento CL-SPC de Palma (2004) con 50 preguntas para evaluar el clima laboral, y la versión corta del ISTAS-21 con 20 preguntas para medir riesgos psicosociales. Los resultados revelaron una influencia significativa (r=-0.9040, p<0.05) del clima organizacional en los riesgos psicosociales en las instituciones educativas del distrito de Oyón. En conclusión, este estudio destaca la importancia de abordar la relación entre riesgos psicosociales y clima laboral en el contexto educativo para implementar intervenciones que mejoren la calidad de vida laboral y el rendimiento docente
Development of the Sandro Application (Statistics on Android) as a Learning Media in the Educational Statistics
Authors: Pratama Apriliyanus Rakhmadi , Masenge Anugerah Daeng , Yasin Moh Fahri
Published: January 2025

This study focuses on the development of an Android-based learning application to enhance student interest and understanding in the course of Educational Statistics at IAIN Sultan Amai Gorontalo. Using a research and development (R&D) approach, the study includes the stages of needs analysis, application design, material development, implementation, and evaluation. The evaluation results from subject matter experts show that the presented material aligns with curriculum standards and learning needs. Media experts’ validation indicates that the application has an attractive and functional interface, although some improvements are required to enhance the practicality and efficiency of the application. User trials (students) yielded positive responses, with an average score of 81,17%, indicating that most users found the application effective in supporting the Educational Statistics course. This application development significantly contributes to creating relevant and engaging learning media, providing a solution to the low student interest in this course.