Environmental Research Research Articles

Portable Arduino-Based Multi-Sensor Device (SBEDAD): Measuring the Built Environment in Street Cycling Spaces.

The built environment's impact on human activities has been a hot issue in urban research. Compared to motorized spaces, the built environment of pedestrian and cycling street spaces dramatically influences people's travel experience and travel mode choice. The streets' built environment data play a vital role in urban design and management. However, the multi-source, heterogeneous, and massive data acquisition methods and tools for the built environment have become obstacles for urban design and management. To better realize the data acquisition and for deeper understanding of the urban built environment, this study develops a new portable, low-cost Arduino-based multi-sensor array integrated into a single portable unit for built environment measurements of street cycling spaces. The system consists of five sensors and an Arduino Mega board, aimed at measuring the characteristics of the street cycling space. It takes air quality, human sensation, road quality, and greenery as the detection objects. An integrated particulate matter laser sensor, a light intensity sensor, a temperature and humidity sensor, noise sensors, and an 8K panoramic camera are used for multi-source data acquisition in the street. The device has a mobile power supply display and a secure digital card to improve its portability. The study took Beijing as a sample case. A total of 127.97 G of video data and 4794 Kb of txt records were acquired in 36 working hours using the street built environment data acquisition device. The efficiency rose to 8474.21% compared to last year. As an alternative to conventional hardware used for this similar purpose, the device avoids the need to carry multiple types and models of sensing devices, making it possible to target multi-sensor data-based street built environment research. Second, the device's power and storage capabilities make it portable, independent, and scalable, accelerating self-motivated development. Third, it dramatically reduces the cost. The device provides a methodological and technological basis for conceptualizing new research scenarios and potential applications.

Strategies for selecting and managing equipment in a light microscopy facility.

Light microscopy facilities vary in the number of imaging systems and the scope of technologies they support. Each facility must craftan identity through the selection of equipment and development of staff in order to serve the needs of its local research environment. The process of crafting a light microscopy facility can be compared to curation of an art exhibition: great care should be given to the selection and placement of each object in order to make a coherent statement. Lay Description: Light microscopy facilities vary in the number of imaging systems and the scope of technologies they support. Each facility must develop an identity through the selection of equipment and development of staff in order to serve the needs of its local research environment. The process of crafting a light microscopy facility can be compared to curation of an art exhibition: great care should be given to the selection and placement of each object in order to make a coherent statement.

Factors Influencing Perceptions of Trust in Data Infrastructures

Trust is an essential pre-condition for the acceptance of digital infrastructures and services. Transparency has been identified as one mechanism for increasing trustworthiness. Yet, it is difficult to assess to which extent and how exactly different aspects of transparency contribute to trust, or potentially impede it in cases of overwhelming complexity of the information provided. To address these issues, we performed two initial studies to help determining the factors that influence or have impact on trust, focusing on transparency across a range of elements associated with data, data infrastructures and virtual research environments. On one hand, we performed a survey among IT experts in the field of data science focusing on quality aspects in the context of re-using and sharing open source software, assessing issues such as the need for documentation, test cases, and accountability. On the other hand, we complemented this with a set of semi-structured interviews with senior researchers to address specific issues of the degree of transparency achievable with different approaches. They include, for example, the amount of transparency we can achieve with approaches from explainable AI, or the usefulness and limitations of data provenance in determining the suitability of data for reuse and others. Specifically, we consider mechanisms on three levels, i.e. technical, process-oriented as well as social mechanisms. Starting from attributes of trust in the “analogue world”, we aim to understand which of these can be applied in the digital world, how they differ, and what additional mechanisms need to be established, in order to support trust in complex socio-technological processes and their emergent results when the traditional approaches cannot be applied anymore.

Towards an understanding of landslide risk assessment and its economic losses: a scientometric analysis

AbstractThis scientometric analysis significantly advances the understanding of landslide risk assessment and economic losses, focusing on scientometric insights. This study aims at analyzing the global trends and structures of landslide risk and economic loss research from 2002 to 2023 using scientometric techniques such as co-authorship, co-word, co-citation, cluster analysis, and trend topics, among others. Thus, analysis of 92 studies gathered from Scopus and Web of Science databases reveals a continuous growth in environmental, social, and quantitative research topics. Predominant contributions hail mainly from China and Italy. The research identifies critical themes, including risk analysis, vulnerability, fragility, and economic losses. The current identified research combines advanced statistical methods, including logistic regression, with climate change scenarios and susceptibility assessments to reveal intricate connections between climatic shifts, hydrogeological hazards, and their economic and environmental impacts. This study provides researchers and practitioners with a comprehensive understanding of the status quo and research trends of ontology research landslide risk and its economic losses. It also promotes further studies in this domain.

Improved determination of nitrate isotopes in irrigated agricultural areas and Bayesian mixing model quantification of nitrate sources and fate

Technological advancements in isotope techniques have been widely utilized in environmental pollution research, particularly for the monitoring of nitrate pollution in water. The utilization of pretreatment with an aqueous nitric acid solution offers numerous advantages in analyzing isotopic composition; however, there is still room for improvement regarding conversion efficiency, reduced reaction time, and cost control. In light of this, this study proposes an enhanced chemical conversion method that involves mitigating the interference caused by the nitrogen azide reaction during the pretreatment process, optimizing the purge gas to remove interfering factors, and improving the inlet device for measuring nitrous oxide. The improved method was applied to determine nitrate isotopes in the Ulansuhai Basin, Inner Mongolia and its reliability was verified through analytical results obtained from bacterial denitrification methods. The mean δ15N-NO3- and δ18O-NO3- values determined using the chemical transformation method were 4.85‰ and 23.44‰, respectively. Compared with the previous method, the improved method enhanced the maneuverability of precise control, the pretreatment time was reduced from 2 to 3 hours to 1.5 hours, and the experimental cost was scaled down to half of the original one. In addition, the contribution of each source was calculated by combining nitrate isotopes with a Bayesian stable isotope mixing model. It was found that manure sewage accounted for (50.1±22.6) % while soil nitrogen sources contributed (25.1±20.4) % to nitrate levels in Ulansuhai Lake's water. The chemical conversion methods successfully improved within this study can also be applied to other watersheds or regions. These research findings provide a valuable theoretical foundation for managing nitrogen sources within watersheds.

Students' Perspective on Undergraduate Research Experiences in Indonesian Dental Schools.

Undergraduate (UG) research is considered as an essential part of dental education. Numerous dental schools have included required course-based undergraduate research in their curricula. However, the implementation of UG research courses in the curriculum may vary between dental schools. In the present study, we aimed to evaluate student perspectives on UG research in the curriculum of Indonesian dental schools. A total of 203 participants from 10 dental schools returned the questionnaire. The participants were clinical students of the dentistry profession program who completed their undergraduate dentistry program from 2017 to 2022. The majority of study participants favored UG research in the curriculum of the undergraduate dentistry study program. Less than 20% participants perceived UG research experiments were not important in dental education. Factors that influenced these perceptions included the availability of adequate time to complete the course and sufficient support from research supervisors. Recommendations for improvement included providing an adequate time to complete UG research and adequate supervision to guide students to understand the conceptual background information of the research topics, designs, and scientific communication of data interpretation. Regular monitoring of students' performance and progress would ensure completion of UG research courses in a timely manner. In conclusion, although UG research as a compulsory course in the Indonesian dental curriculum was well received by the students, overcoming the challenges is essential for the improvement of the research environment for undergraduate dental students.

Advances and perspectives in environmental health research in China

Environmental health research aims to identify environmental conditions suitable for the healthy living and reproduction of human beings. Through the interdisciplinary research bridging environmental sciences and health/medical sciences, the impacts of physical, chemical, and biological environmental factors on human health are investigated. This includes identifying environmental factors detrimental to human health, evaluating human exposure characteristics to environmental factors, clarifying causal relationships between environmental exposure and health effects, analyzing the underlying biochemical mechanisms, linking environmental factors to the onset and progression of diseases, establishing exposure-response relationships, and determining effect thresholds. Ultimately, the results of environmental health research can serve as a scientific basis for formulating environmental management strategies and guiding prevention and intervention measures at both the public and individual levels. This paper summarizes the recent advances and future perspectives of environmental health research in China, as reported by a group of Chinese scientists who recently attended a workshop in Hainan, China. While it is not intended to provide a comprehensive review of this expansive field, it offers a glimpse into the significant progress made in understanding the health impacts of environmental factors over the past decade. Looking ahead, it is imperative not only to sustain efforts in studying the health effects of traditional environmental pollution, but also to prioritize research on the health impacts of emerging pollutants and climate change.

Land Cover Classification Based on Multimodal Remote Sensing Fusion

Abstract. Global high-precision and high timeliness land cover data is a fundamental and strategic resource for global strategic interest maintenance, global environmental change research, and sustainable development planning. However, due to difficulties in obtaining control and reference information from overseas, a single data source cannot effectively cover, and surface coverage classification faces significant challenges in information extraction. Based on this, this article proposes an intelligent interpretation method for typical elements based on multimodal fusion, starting from the characteristics of domestic remote sensing images. It also develops an optical SAR data conversion and complementarity strategy based on convolutional translation networks, as well as a typical element extraction algorithm. This solves the problems of sparse remote sensing images, limited effective observations, and difficult information recognition, thereby achieving automation of typical element information under dense observation time series High precision extraction and analysis.

A review of common statistical methods for dealing with multiple pollutant mixtures and multiple exposures.

Traditional environmental epidemiology has consistently focused on studying the impact of single exposures on specific health outcomes, considering concurrent exposures as variables to be controlled. However, with the continuous changes in environment, humans are increasingly facing more complex exposures to multi-pollutant mixtures. In this context, accurately assessing the impact of multi-pollutant mixtures on health has become a central concern in current environmental research. Simultaneously, the continuous development and optimization of statistical methods offer robust support for handling large datasets, strengthening the capability to conduct in-depth research on the effects of multiple exposures on health. In order to examine complicated exposure mixtures, we introduce commonly used statistical methods and their developments, such as weighted quantile sum, bayesian kernel machine regression, toxic equivalency analysis, and others. Delineating their applications, advantages, weaknesses, and interpretability of results. It also provides guidance for researchers involved in studying multi-pollutant mixtures, aiding them in selecting appropriate statistical methods and utilizing R software for more accurate and comprehensive assessments of the impact of multi-pollutant mixtures on human health.

The effect of scenario-based training versus video training on nurse anesthesia students’ basic life support knowledge and skill of cardiopulmonary resuscitation: a quasi-experimental comparative study

BackgroundPerforming CPR (Cardiopulmonary Resuscitation) is an extremely intricate skill whose success depends largely on the level of knowledge and skill of Anesthesiology students. Therefore, this research was conducted to compare the effect of the scenario-based training method as opposed to video training method on nurse anesthesia students’ BLS (Basic Life Support) knowledge and skills.MethodsThis randomized quasi-experimental study involved 45 nurse anesthesia students of Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran in 2022–2023. The practical room of the university formed the research environment. The participants were randomly divided into three groups of scenario-based training, video training, and control. Data were collected by a knowledge questionnaire and a BLS skill assessment checklist before and after the intervention.ResultsThere was a significant difference between the students’ scores of BLS knowledge and skill before and after the educational intervention in both SG (scenario group) (p < 0.001) and VG (video group) (p = 0.008) (p < 0.001). However, no significant difference was observed in this regard in the CG (control group) (p = 0.37) (p = 0.16). Also, the mean scores of BLS knowledge and skills in the SG were higher than those in the VG (p < 0.001).ConclusionGiven the beneficial impact of scenario-based education on fostering active participation, critical thinking, utilization of intellectual abilities, and learner creativity, it appears that this approach holds an advantage over video training, particularly when it comes to teaching crucial subjects like Basic Life Support.

Shaping the Future of Environmental Economics: A Bibliometric Review of Current Trends and Future Directions

Environmental economics is increasingly pivotal in addressing global environmental challenges. This study aims to elucidate the research landscape in this field, focusing on prevalent themes such as climate change, carbon emissions, sustainable development, and environmental policy. Employing a bibliometric analysis, we analyzed a substantial corpus of literature from Scopus. We applied Lotka's Law to assess author productivity and distribution and conducted institutional and country-level analyses to map the geographical spread and institutional affiliations in environmental economics research. Our analysis highlights a significant growth in the environmental economics literature, with a notable focus on climate change and sustainability. A concentration of publications among a few authors was observed, indicating influential researchers and potential for increased collaboration. The rise in publications, particularly in China and leading journals like 'The Journal of Cleaner Production,' reflects a global upsurge in environmental economics research. Distinct clusters were identified, covering diverse topics from climate change economics to environmental policy. The study acknowledges limitations due to exclusive reliance on Scopus data, suggesting future research to include other databases like the Web of Science for a more comprehensive analysis. Considering the evolving nature of environmental challenges, we advocate for interdisciplinary approaches and continual updates in research to address emergent trends in this critical field.

Fabrication of pyrolytic carbon interdigitated microelectrodes by maskless UV photolithography with epoxy-based photoresists SU-8 and mr-DWL

Maskless UV photolithography is increasingly used, especially in research environments where low turn-around time for new designs improves productivity. Here, we fabricate pyrolytic carbon interdigitated microelectrodes with small interelectrode gaps, good adhesion to the carrier substrate, high surface area and excellent electrochemical properties using maskless UV photolithography with two negative epoxy-based photoresists, namely the commonly used SU-8 and the recently developed mr-DWL. The minimum realizable trench width in 15 μm thick photoresist films is 2.4 ± 0.15 μm for mr-DWL 5 and 3.1 ± 0.10 μm for SU-8 2035. After pyrolysis, the two resulting pyrolytic carbon materials show similar electrochemical properties. However, shrinkage during pyrolysis is significantly lower for mr-DWL compared to SU-8, which is beneficial for the fabrication of interdigitated microelectrodes. Furthermore, delamination of the electrodes during processing and operation is prevented due to the introduction of poly silicon adhesion structures. This work provides valuable insights into maskless UV lithography as well as into the pyrolytic carbon process to increase the yield, performance and productivity for fabrication of microelectrodes.

The Role of the Public Sphere of Science in Fostering Public Trust in Science in Ukraine

Introduction. The war in Ukraine has created a challenging environment for scholarly research, as many researchers and institutions have found themselves in constrained conditions and resources. Furthermore, there has been a decline in public trust in institutions in Ukraine, including the scholarly community.Problem Statement. In Ukraine, public trust in science has been consistently low in recent years. This may have negative consequences for the development of science and technology in the country, as well as for public policy decisions that rely on scientifi c evidence. Therefore, there is a need to foster public trust in the science of Ukraine.Purpose. The purpose of this research is to identify the key tools and technologies of the public sphere of science, which can contribute to building trust in science among the Ukrainian public.Material and Methods. There have been used the methods of analysis, synthesis, comparison, structural, functional, system analysis, and integration.Results. The importance of the role of the public sphere of science in shaping public trust in scholarly research in Ukraine has been established. The main tools and technologies in the public sphere of science that can be used to engage the public and to enhance trust in science in Ukraine have been analyzed. The role of social media platforms, scientifi c webinars, scientifi c platforms, and scientifi c festivals in this process and their potential for engaging the public in scientifi c knowledge and research have been discussed.Conclusions. The importance of involving the public in scientifi c decision-making processes and engagement through organizing public discussions and debates has been concluded. Another crucial step is ensuring open access to scientifi c information and promoting greater transparency. Collaboration among research organizations, the public, the government, and other stakeholders is also vital to the development of eff ective scientifi c policies. The use of innovation technologies and digital tools facilitates interaction between science and the public. Ensuring access to scientifi c knowledge and scientifi c education contributes to increasing trust in science.

Understanding consumer behavior in phygital environments: an interpretivist methodological framework

PurposeDue to rapid digitalization, the emergence of the “phygital” environment, which blends physical and digital experiences, creates unique challenges for researchers. This paper aims to introduce an interpretivist methodological framework designed to understand consumer behavior in phygital environments. The framework enables an in-depth exploration of the contextual factors, subjective experiences, personal emotions and social networks that influence consumer behavior in this space.Design/methodology/approachThe framework was developed after a thorough literature review of the phygital environment and interpretivist research landscape. Consistent with the phygital transformation theory, this approach allows researchers to go beyond the limitations of purely quantitative methods, gaining a deeper understanding of consumer behavior in phygital environments. The framework is organized into four meticulously designed pillars, each focusing on specific aspects of research and using distinct data collection and analysis approaches.FindingsThe systematic framework facilitates exploration of various dimensions of consumer experiences in phygital settings through qualitative research techniques. Uncovering the richness of contextual factors, subjective meanings, consumer experiences and social interactions within the phygital environment yields meaningful insights into consumer decision-making and preferences. These insights help marketers craft better phygital marketing strategies.Originality/valueThis interpretivist framework presents a unique approach for researchers hoping to investigate consumer behavior in phygital environments. It offers deep insights and understanding of this largely unexplored space, contributing to the evolving body of knowledge in phygital studies.

Design and Fabrication of Ocean Plastic Waste Cleaner

An ocean cleaning device abstract could focus on various aspects, depending on the specific device or technology being described. With the escalating threat of ocean pollution, innovative solutions are imperative to mitigate its detrimental impacts on marine ecosystems and human livelihoods. This abstract presents a comprehensive overview of an advanced ocean cleaning device designed to tackle the burgeoning issue of marine debris. The device integrates cutting-edge technology, including [insert specific technologies], to efficiently remove various forms of pollution from coastal areas and open water on the severity of ocean pollution and the urgent need for effective cleanup technologies. It highlights the detrimental effects of marine debris on marine life, biodiversity, and coastal communities, emphasizing the importance of sustainable solutions. Here's a general abstract outline for an ocean cleaning device.This paper discusses the design principles, technological components, and operational strategies of the ocean plastic waste cleaning device. Additionally, it evaluates the device's performance through simulation models and field tests, demonstrating its effectiveness in reducing plastic pollution and contributing to sustainable ocean conservation efforts.Integrated sensors monitor water quality, temperature, and marine life, providing valuable data for environmental research and conservation efforts.Operators can remotely control the device and receive real-time data, enhancing operational efficiency and response times

Opinion: New directions in atmospheric research offered by research infrastructures combined with open and data-intensive science

Abstract. The acquisition and dissemination of essential information for understanding global biogeochemical interactions between the atmosphere and ecosystems and how climate–ecosystem feedback loops may change atmospheric composition in the future comprise a fundamental prerequisite for societal resilience in the face of climate change. In particular, the detection of trends and seasonality in the abundance of greenhouse gases and short-lived climate-active atmospheric constituents is an important aspect of climate science. Therefore, easy and fast access to reliable, long-term, and high-quality observational environmental data is recognised as fundamental to research and the development of environmental forecasting and assessment services. In our opinion article, we discuss the potential role that environmental research infrastructures in Europe (ENVRI RIs) can play in the context of an integrated global observation system. In particular, we focus on the role of the atmosphere-centred research infrastructures ACTRIS (Aerosol, Clouds and Trace Gases Research Infrastructure), IAGOS (In-service Aircraft for a Global Observing System), and ICOS (Integrated Carbon Observation System), also referred to as ATMO-RIs, with their capabilities for standardised collection and provision of long-term and high-quality observational data, complemented by rich metadata. The ATMO-RIs provide data through open access and offer data interoperability across different research fields including all fields of environmental sciences and beyond. As a result of these capabilities in data collection and provision, we elaborate on the novel research opportunities in atmospheric sciences which arise from the combination of open-access and interoperable observational data, tools, and technologies offered by data-intensive science and the emerging collaboration platform ENVRI-Hub, hosted by the European Open Science Cloud (EOSC).

Scientiometric Study on Authorship Pattern in Knowledge Management

The Present study focuses on authorship patterns in Knowledge Management using scientometrics. Thestudy found Del Giudice M as the most productive author with an h-Index of 20. The study found that Del Giudice M. is the most locally cited author with 25 articles with a fractionalised value of 7.05. The study identified Del Giudice M, Lee S, Bontis N, Ferraris A, and Serenko A as the most prolific authors from 2010 to 2023 The most striking observation is the presence of an Indian author, whose paper published in the Journal of Service Research was cited 738 times with a TCpY of 52.71. The study also reveals that more documents were collaborative, which accounts for the prevalence of publications with multiple authors with the USA leading the scene. This study deliberates mostly on authorship patterns in Scientometric research connected to Knowledge Management to cultivate a fairer, more varied, and influential research environment that accurately represents the depth and complexity of Knowledge Management practices and issues. This paper analysis Lotka’s Law, Most Local Cited Authors in KM, the authorship pattern, most locally cited authors, the productivity of authors over time, and most globally cited publications in Knowledge Management.

Comparative assessment of established and deep learning-based segmentation methods for hippocampal volume estimation in brain magnetic resonance imaging analysis.

In this study, our objective was to assess the performance of two deep learning-based hippocampal segmentation methods, SynthSeg and TigerBx, which are readily available to the public. We contrasted their performance with that of two established techniques, FreeSurfer-Aseg and FSL-FIRST, using three-dimensional T1-weighted MRI scans (n = 1447) procured from public databases. Our evaluation focused on the accuracy and reproducibility of these tools in estimating hippocampal volume. The findings suggest that both SynthSeg and TigerBx are on a par with Aseg and FIRST in terms of segmentation accuracy and reproducibility, but offer a significant advantage in processing speed, generating results in less than 1 min compared with several minutes to hours for the latter tools. In terms of Alzheimer's disease classification based on the hippocampal atrophy rate, SynthSeg and TigerBx exhibited superior performance. In conclusion, we evaluated the capabilities of two deep learning-based segmentation techniques. The results underscore their potential value in clinical and research environments, particularly when investigating neurological conditions associated with hippocampal structures.

A Comparison of new and age-old approaches treating microplastics in the marine environment

In recent years, microplastic pollution in the ocean has become a new environmental threat, posing a serious potential threat to marine ecology. Due to its high degradation resistance and bioaccumulation, it is an urgent and critical issue for the environment. Unfortunately, current technologies for removing, recycling, or degrading microplastics are not sufficient to eliminate them. The main sources of microplastics (MPs) in the ocean are ocean drift inputs, river inputs, fishing and shipping activities, microplastic emissions from human settlements, and atmospheric migration. Microplastics may pose a threat to marine life and affect the stability of marine ecosystems. Therefore, it is urgent to further study governance methods and analysis processes, and strengthen the source control of marine microplastic pollution. This study aims to analyze and discuss different methods for treating marine microplastics, analyze their respective advantages and limitations, and evaluate their feasibility and effectiveness in practical applications. The study ultimately emphasized the importance of effective management of marine microplastics, which is crucial for protecting marine ecosystems and human health. Through a comprehensive analysis of physical, chemical, and biological methods, this study provides valuable insights for marine environmental management and research institutions, thereby promoting the development and application of effective management technologies to achieve sustainable environmental outcomes.

A virtual reality paradigm simulating blood donation serves as a platform to test interventions to promote donation

Effective interventions that support blood donor retention are needed. Yet, integrating an intervention into the time-pressed and operationally sensitive context of a blood donation center requires justification for disruptions to an optimized process. This research provides evidence that virtual reality (VR) paradigms can serve as a research environment in which interventions can be tested prior to being delivered in blood donation centers. Study 1 (N = 48) demonstrated that 360°-video VR blood donation environments elicit a similar profile of emotional experience to a live donor center. Presence and immersion were high, and cybersickness symptoms low. Study 2 (N = 134) was an experiment deploying the 360°-video VR environments to test the impact of an intervention on emotional experience and intentions to donate. Participants in the intervention condition who engaged in a suite of tasks drawn from the process model of emotion regulation (including attentional deployment, positive reappraisal, and response modulation) reported more positive emotion than participants in a control condition, which in turn increased intentions to donate blood. By showing the promise for benefitting donor experience via a relatively low-cost and low-resource methodology, this research supports the use of VR paradigms to trial interventions prior to deployment in operationally-context field settings.