Search Results (68)

With the ongoing advancement of industrialization and rapid urbanization, the emission of volatile organic compounds (VOCs) has increased significantly. As key precursors of PM_2.5 and ozone formation, VOCs pose a growing threat to the health of ecosystems. Due to their complex and dynamic transformation processes across air, water, and soil media, the ecological risks associated with VOCs have attracted increasing attention from both the scientific community and policy-makers. This study systematically reviews the core literature on the ecological impacts of VOCs published between 2005 and 2024, based on data from the Web of Science and Google Scholar databases. Utilizing three bibliometric tools (CiteSpace, VOSviewer, and Bibliometrix), we conducted a comprehensive visual analysis, constructing knowledge maps from multiple perspectives, including research trends, international collaboration, keyword evolution, and author–institution co-occurrence networks. The results reveal a rapid growth in the ecological impact of VOCs (EIVOCs), with an average annual increase exceeding 11% since 2013. Key research themes include source apportionment of air pollutants, ecotoxicological effects, biological response mechanisms, and health risk assessment. China, the United States, and Germany have emerged as leading contributors in this field, with China showing a remarkable surge in research activity in recent years. Keyword co-occurrence and burst analyses highlight “air pollution”, “exposure”, “health”, and “source apportionment” as major research hotspots. However, challenges remain in areas such as ecosystem functional responses, the integration of multimedia pollution pathways, and interdisciplinary coordination mechanisms. There is an urgent need to enhance monitoring technology integration, develop robust ecological risk assessment frameworks, and improve predictive modeling capabilities under climate change scenarios. This study provides scientific insights and theoretical support for the development of future environmental protection policies and comprehensive VOCs management strategies. Full article

Background/Objectives: In 2022, 2.2 million adolescents were diagnosed with substance use disorders, including 265,000 with opioid use disorder. The National Survey on Drug Use and Health revealed that 130,000 adolescents misused prescription pain medications, often obtaining them from friends or relatives. This age group perceives weekly heroin use as less risky than those younger or older. Methods: A questionnaire was developed for 7th to 12th graders in a rural Texas school district as part of a fentanyl awareness curriculum. The questionnaire included Likert scale, multiple choice, and yes/no questions. The participants were categorized into younger (grades 7th and 8th) and older students (grades 9th through 12th), and associations were explored between demographic characteristics, responses, and grade groups using chi-square tests. To assess confidence, behavior, and the impact of education, we used chi-square and Fisher’s exact tests. Results: The participants (n = 94; 85.11%) identified as Hispanic or Latino, with a smaller percentage identifying as White or more than one race. An association was found between feeling more in control of actions related to substances and fentanyl (p-value = 0.04) after receiving education. No association was found between education and confidence in identifying fentanyl. Conclusions: This study aligns with a surge in fentanyl-related overdose deaths in a high-intensity drug trafficking region. Recent fentanyl overdoses among school-age children prompted legislative changes in 2023, making this study valuable for understanding the epidemic within the geographical context. These results suggest that school-based education may play a role in strengthening adolescents’ behavioral intentions to fentanyl exposure, though additional efforts are needed to improve risk identification. Full article

The COVID-19 pandemic and the Russia–Ukraine war have struck the world’s energy markets. This study analyzed how the recent unstable fossil fuel markets impacted the Japanese electricity contracts, classified as extra-high-, high-, and low-voltage contracts. Multiple structural break tests were conducted to endogenously determine breaks affecting electricity prices during January 2019 to November 2022. By incorporating the effects of these breaks in the autoregressive distributed lag (ARDL) model, the study analyzed the effects of natural gas, coal, and crude oil prices on the types of electricity contract prices. The results of the analyses indicated a surge in electricity prices for low- and high-voltage contracts driven by an increase in natural gas. The results imply the importance of providing proper financial support to mitigate the effects of soaring electricity prices and implementing policies to diversify the electricity generation mix in Japan. Full article

Orthodontic treatment demand has surged due to heightened aesthetic concerns and the increased recognition of oral health’s role in overall well-being. This systematic review was conducted by searching across multiple databases (PubMed, Scopus, Web of Science, ScienceDirect, and Google Scholar) for observational studies published between January 2000 and April 2024 that assessed personality traits using validated instruments, with inclusion criteria focused on outcomes such as pain perception, treatment attitude, compliance, satisfaction, and quality of life. The results consistently indicate that negative personality traits, particularly high neuroticism, are associated with increased pain perception, lower satisfaction, and reduced compliance. In contrast, positive traits, including extraversion, agreeableness, and conscientiousness, were correlated with improved orthodontic outcomes and more favorable treatment attitudes. Additionally, extraversion and openness were observed to moderate the negative impact of malocclusion severity on oral health-related quality of life. When examining gender, overall differences were minimal; however, some studies indicated that females reported slightly higher pain scores. These findings underscore the multifaceted role of personality by suggesting that psychological profiling should be incorporated into clinical practice. By recognizing individual personality profiles, clinicians can tailor treatment approaches to foster patient-centered care, optimizing orthodontic outcomes and enhancing overall patient satisfaction. Full article

Background: The surge in scientific publications during the COVID-19 pandemic has heightened the need for reliable secondary studies such as Systematic Reviews, synthesising evidence to guide clinical and public health decisions. This study aimed to analyse the current practices, preferences, and challenges faced by researchers conducting secondary studies and assess the impact of the COVID-19 pandemic on these practices. Methods: An online survey was conducted among researchers actively involved in secondary research. Email addresses were collected from PubMed for publications related to COVID-19 secondary studies between 2020 and 2022. The survey comprised 24 questions, including single- and multiple-choice formats, covering general information, Systematic Review processes, and changes during the pandemic. Statistical analysis, including Pearson’s Chi² test, was performed on key responses to identify significant correlations. Results: This study highlights that only 26.9% of respondents use keyword-generation tools. However, those using PubMed were more likely to utilise MeSH (p = 0.01486, df = 1, Chi² = 5.932568). Systematic Review software adoption was prevalent, particularly for Rapid Reviews, with Covidence being commonly used (p = 0.00843, df = 1, Chi² = 6.938953), especially during the screening stage (p = 0.02400, df = 1, Chi² = 5.094851). Despite this, many researchers still reported that they did not use any software. A total of 94.9% of respondents reported adherence to PRISMA guidelines, and protocol registration was strongly associated with following these guidelines (p = 0.00320, df = 2, Chi² = 11.48858). Researchers using Embase were significantly more likely to incorporate RCTs (p = 0.00360, df = 1, Chi² = 8.476092), while Cochrane reviewers showed a lower reliance on non-randomised trials (p = 0.02601, df = 1, Chi² = 4.955580). During the COVID-19 pandemic, 64.3% of respondents observed a significant increase in secondary studies. Conclusions: This study highlights key trends in secondary research, emphasising adherence to established guidelines and the growing reliance on software tools. However, gaps remain in protocol registration and keyword generation practices. Addressing these gaps through targeted training may improve the quality of future secondary studies, particularly during global health crises. Full article

Human parvovirus B19 (B19V) follows a well-documented cyclical epidemiology, with peaks occurring every 3–4 years. However, recent reports indicate an unusual resurgence in B19V infections across multiple countries, prompting increased surveillance. This study analyzed molecular diagnostic assay results from 826 unique-patient samples tested for B19V DNA between 2019 and 2024 at a large Italian tertiary-care hospital, covering pre-, during, and post-COVID-19 years. Overall, 80 of 826 patients (9.7%) tested positive for B19V DNA. A significant increase in positivity was observed in 2024 (23.4%), with a peak in May, representing an eightfold rise compared to 2019–2020. Despite this surge, the distribution of positive cases across population categories remained consistent with previous years, with 32 of 80 (40.0%) positive samples from pregnant women and 27 of 80 (33.8%) from hematology/oncology patients. Among 66 B19V DNA-positive patients with available serology, 4 of 66 (6.1%)—all immunocompromised—lacked detectable IgM/IgG despite high B19V DNA levels (7.8 log₁₀ IU/mL). These findings highlight the importance of integrating molecular and serological diagnostics, particularly in high-risk populations. Given the potential impact of the COVID-19 pandemic on B19V circulation, continued surveillance is essential to determine whether this resurgence represents a temporary fluctuation or a sustained epidemiological shift. Full article

Live-streaming platforms such as TikTok have been recently experiencing exponential growth, attracting millions of daily viewers. This surge in network traffic often results in increased latency, even on resource-rich nodes during peak times, leading to the downgrade of Quality of Experience (QoE) for users. This study aims to predict QoE downgrade events by leveraging cross-layer device data through real-time predictions and monitoring. We propose a Real-time Multi-level Transformer (RMT) model to predict the QoE of live streaming by integrating time-series data from multiple network layers. Unlike existing approaches, which primarily assess the immediate impact of network conditions on video quality, our method introduces a device-mask pretraining (DMP) technique that applies pretraining on cross-layer device data to capture the correlations among devices, thereby improving the accuracy of QoE predictions. To facilitate the training of RMT, we further built a Live Stream Quality of Experience (LSQE) dataset by collecting 5,000,000 records from over 300,000 users in a 7-day period. By analyzing the temporal evolution of network conditions in real-time, the RMT model provides more accurate predictions of user experience. The experimental results demonstrate that the proposed pretraining task significantly enhances the model’s prediction accuracy, and the overall method outperforms baseline approaches. Full article

In practical engineering, due to the residual magnetism in the iron core of the converter transformer, the inrush current is generated in the case of no-load closing, and the inrush current leads to an oil flow surge inside the converter transformer. Under the influence of oil flow, the gas relay plate will be deflected, and when the deflection angle is too large, the gas relay will malfunction. Because of the lacking research on the influence of the misoperation of the gas relay under the excitation inrush of the converter transformer, it is difficult to effectively suppress the misoperation of gas relay under inrush current. Therefore, the finite element model of the electromagnetic hydraulic coupling of the converter transformer is established in this paper to obtain the oil flow velocity through the gas relay under the inrush current. A fluid–solid coupling model was established inside the gas relay to study the deflection characteristics of the baffle of the gas relay under the inrush current, and the relationship between the inrush current amplitude and the deflection angle of the baffle was mathematically fitted to effectively predict whether the gas relay has the risk of misoperation. From the experimental results, it can be seen that when the amplitude of the inrush current exceeds 6.37 kA, the gas relay will have the risk of misoperation. Finally, the influence of oil flow impact on the gas relay baffle under multiple cycles is considered. The results can provide an effective reference for analyzing the diagnosis of gas relay misoperation under the effect of inrush current. Full article

Background/Objective: Over the past two decades, the utilization of virtual care in rehabilitation has witnessed a significant surge; this is owing to the widespread availability of technological tools and the global impact of the COVID-19 pandemic. As a result, discussions surrounding the relevance and benefits of telerehabilitation have gained prominence among practitioners, who continually seek to enhance patient care while maintaining high standards of quality. Associated with these discussions are concerns over being able to provide care in an ethical way, as well as addressing equity issues that might be hindered or improved via telerehabilitation. To address the ethical and equity concerns around telerehabilitation, a series of five parallel rapid reviews of the scientific literature were conducted, focusing on different rehabilitation fields: physiotherapy and occupational therapy (1); speech therapy and audiology (2); psychology and neuropsychology (3); and in two age groups: older adults (4); and pediatrics and young adults (5). The objective of this series of rapid reviews is to evaluate the evidence presented regarding telerehabilitation; identifying and recommending best practices especially in the realm of ethics and equity. Methods: Medline; CINAHL; and EMBASE were searched between 2010 and 2023 for English or French-language reviews (2010–2020) and individual studies (2020–2023) pertaining to telerehabilitation and these fields of interest. Data were extracted following a standardized form focusing on: outcomes; findings; quality assessment/biases; limitations; and discussion of ethical and equity concerns. Results: The results are presented according to the most relevant themes, which include: findings; strengths; limitations; and ethical/equity considerations. Conclusions: This research presents a methodology rarely published before, on how to conduct multiple parallel rapid reviews on the theme of telerehabilitation, based on different rehabilitation fields and age groups. This research will shape future guidelines and standards in applying ethical and equity standards in telerehabilitation. Full article

Demak is highly vulnerable to flooding from both fluvial and coastal storms, facing increasing pressures on its sustainability and resilience due to multiple compounding flood hazards. This study assesses the inundation hazards in Demak coastal areas by modeling the impacts of compound flooding. We modeled eight scenarios incorporating long-term forces, such as sea level rise (SLR) and land subsidence (LS), as well as immediate forces, like storm surges, wind waves, and river discharge. Our findings reveal that immediate forces primarily increase inundation depth, while long-term forces expand the inundation area. Combined effects from storm tides and other factors resulted in a 10–20% increase in flood extent compared to individual forces. Fluvial flooding mostly impacts areas near river outlets, but the combination of river discharge and storm tides produces flood extents similar to those caused by SLR. Land subsidence emerged as the primary driver of coastal flooding, while other factors, adding just 25% to area increase, significantly impacted inundation depth. These findings underscore the effectiveness of mangroves in mitigating floods in low-lying areas against immediate forces. However, the resilience and sustainability of the Demak region are challenged by SLR, LS, and the need to integrate these factors into a comprehensive flood mitigation strategy. Full article

Many cities worldwide are increasingly threatened by compound floods resulting from the interaction of multiple flood drivers. Simultaneously, rapid urbanization in coastal areas, which increases the proportion of impervious surfaces, has made the mechanisms and simulation methods of compound flood disasters more complex. This study employs a comprehensive literature review to analyze 64 articles on compound flood risk under climate change from the Web of Science Core Collection from 2014 to 2024. The review identifies methods for quantifying the impact of climate change factors such as sea level rise, storm surges, and extreme rainfall, as well as urbanization factors like land subsidence, impervious surfaces, and drainage systems on compound floods. Four commonly used quantitative methods for studying compound floods are discussed: statistical models, numerical models, machine learning models, and coupled models. Due to the complex structure and high computational demand of three-dimensional joint probability statistical models, along with the increasing number of flood drivers complicating the grid interfaces and frameworks for coupling different numerical models, most current research focuses on the superposition of two disaster-causing factors. The joint impact of three or more climate change-driving factors on compound flood disasters is emerging as a significant future research trend. Furthermore, urbanization factors are often overlooked in compound flood studies and should be considered when establishing models. Future research should focus on exploring coupled numerical models, statistical models, and machine learning models to better simulate, predict, and understand the mechanisms, evolution processes, and disaster ranges of compound floods under climate change. Full article

Given the rising urban demand for gas, it has emerged as a primary energy source for urban activities and daily life. However, China’s urban gas pipeline network has witnessed a surge in accidents, leading to significant losses and disasters. Therefore, it is particularly necessary to study the disaster risk assessment model caused by urban gas pipeline leakage. There are some problems in the previous evaluation methods, such as less consideration of the influence relationships between disaster factors. To redress this issue, a novel fuzzy hybrid analytic hierarchy process evaluation methodology is proposed. First, a hybrid hierarchical risk assessment model is developed by combining the analytic hierarchy process and the network analytic hierarchy process. Membership matrices and impact matrices are utilized to calculate comprehensive factor weights. This approach enhances the understanding of relationships between risk factors within the hierarchical structure model. Subsequently, employing a fuzzy evaluation method, the risk level matrix is derived by using multiplication and bounded operators to ascertain the risk level state. This solves the problem of the fuzzy boundaries when measuring the index factors of the gas pipeline network. Finally, experimental analysis is carried out on the gas pipeline network in the central area of a city and validates the model’s accuracy in practical applications. Full article

In light of the rapid Arctic warming and continuous reduction in Arctic Sea ice, the complex two-way Arctic–midlatitudes connection has become a focal point in recent climate research. In this paper, we review the current understanding of the interactive influence between midlatitude atmospheric variability and Arctic Sea ice or thermal conditions on interannual timescales. As sea ice diminishes, in contrast to the Arctic warming (cooling) in boreal winter (summer), Eurasia and North America have experienced anomalously cold (warm) conditions and record snowfall (rainfall), forming an opposite oscillation between the Arctic and midlatitudes. Both statistical analyses and modeling studies have demonstrated the significant impacts of autumn–winter Arctic variations on winter midlatitude cooling, cold surges, and snowfall, as well as the potential contributions of spring–summer Arctic variations to midlatitude warming, heatwaves and rainfall, particularly focusing on the role of distinct regional sea ice. The possible physical processes can be categorized into tropospheric and stratospheric pathways, with the former encompassing the swirling jet stream, horizontally propagated Rossby waves, and transient eddy–mean flow interaction, and the latter manifested as anomalous vertical propagation of quasi-stationary planetary waves and associated downward control of stratospheric anomalies. In turn, atmospheric prevailing patterns in the midlatitudes also contribute to Arctic Sea ice or thermal condition anomalies by meridional energy transport. The Arctic–midlatitudes connection fluctuates over time and is influenced by multiple factors (e.g., continuous melting of climatological sea ice, different locations and magnitudes of sea ice anomalies, internal variability, and other external forcings), undoubtedly increasing the difficulty of mechanism studies and the uncertainty surrounding predictions of midlatitude weather and climate. In conclusion, we provide a succinct summary and offer suggestions for future research. Full article

The impact of sporting events on local economies and their spatial distribution is a topic of active policy debate. This study adds to the discussion by examining granular cellphone location data to assess the spillover effects of Major League Baseball (MLB) games in a major US city. Focusing on the 2019 season, we explore granular geospatial patterns in mobility and consumer spending on game days versus non-game days in the Saint Louis region. Through density-based clustering and hotspot analysis, we uncover distinct spatiotemporal signatures and variations in visitor affluence across different teams. This study uses features like game day characteristics, location data (latitude and longitude), business types, and spending data. A significant finding is that specific spatial clusters of economic activity are formed around the stadium, particularly on game days, with multiple clusters identified. These clusters reveal a marked increase in spending at businesses such as restaurants, bars, and liquor stores, with revenue surges of up to 38% in certain areas. We identified a significant change in spending patterns in the local economy during games, with results varying greatly across teams. Notably, the XGBoost model performs best, achieving a test R² of 0.80. The framework presented enhances the literature at the intersection of urban economics, sports analytics, and spatial modeling while providing data-driven actionable insights for businesses and policymakers. Full article

In response to the fracturing disturbance problem in the Mahu 18 block, based on the production data of on-site fracturing disturbance well groups, the actual fracturing disturbance cases in the block were first statistically divided. The complex fracturing disturbance situation in the block was divided according to the relationship between the number of fracturing wells and the number of production wells. Then, the disturbance types were classified based on the production dynamic response characteristics of the disturbed wells, and the degree of disturbance was quantitatively evaluated for the different types. The results indicate two main types of fracturing interference in the Mahu 18 block: the fracture communication type, and the pressure wave interference type formed through inter-well connectivity through the reservoir matrix. The fracturing disturbance dominated by fracture communication can cause serious water channeling to the production well through the direct connection of inter-well fractures, leading to a surge in water production. This type of fracturing disturbance often has a severe negative impact on the production well. In addition, the pressure and production (water production, liquid production, oil production) in the production dynamic response characteristics of disturbed wells during fracturing disturbance were used as evaluation indicators to quantify the impact of different types of fracturing disturbance from multiple perspectives. Full article