Environmental Effects Research Articles

The Effect of Ecological Environment on Language-Minority Students’ Math and Reading Development: A Hierarchical Linear Analysis of a Longitudinal Study

ABSTRACT Research Findings: This study illustrated whether and how ecological environments are associated with language-minority students’ (N = 12,500) math and reading development from kindergarten to the eighth grade. Results identified the robust effects of preschool type, kindergarten length, classroom activities, parent-child reading, parent expectation, and teacher-child relationship on reading and math outcomes. In third and fifth grade, all significant predictors of reading outcome are at the family level: parent-child reading time and parent’s expectations. Additionally, parent-child reading time also significantly predicts LMSs’ reading in kindergarten. Meanwhile, predictors for math outcomes have a different pattern in the mid to late elementary periods. All predictors during this period are at the family level: parent-child reading time, parent showing love to children, and parent’s expectations. Lastly, the only significant predictor for eighth grade math is teacher-child closeness. Practice or Policy: The significant findings at different grade levels suggest a multifaceted approach to policy development, including (a) supporting parent engagement, (b) high-quality preschool, and (c) multicultural teacher education and professional development.

Glycolipids biosurfactants production using low-cost substrates for environmental remediation: progress, challenges, and future prospects.

The production of renewable materials from alternative sources is becoming increasingly important to reduce the detrimental environmental effects of their non-renewable counterparts and natural resources, while making them more economical and sustainable. Chemical surfactants, which are highly toxic and non-biodegradable, are used in a wide range of industrial and environmental applications harming humans, animals, plants, and other entities. Chemical surfactants can be substituted with biosurfactants (BS), which are produced by microorganisms like bacteria, fungi, and yeast. They have excellent emulsifying, foaming, and dispersing properties, as well as excellent biodegradability, lower toxicity, and the ability to remain stable under severe conditions, making them useful for a variety of industrial and environmental applications. Despite these advantages, BS derived from conventional resources and precursors (such as edible oils and carbohydrates) are expensive, limiting large-scale production of BS. In addition, the use of unconventional substrates such as agro-industrial wastes lowers the BS productivity and drives up production costs. However, overcoming the barriers to commercial-scale production is critical to the widespread adoption of these products. Overcoming these challenges would not only promote the use of environmentally friendly surfactants but also contribute to sustainable waste management and reduce dependence on non-renewable resources. This study explores the efficient use of wastes and other low-cost substrates to produce glycolipids BS, identifies efficient substrates for commercial production, and recommends strategies to improve productivity and use BS in environmental remediation.

Estimates of Genetic Parameters, Growth Curve, and Environmental Effects for Nellore Cattle in the Pantanal

The objective was to estimate the growth curves and genetic parameters using random regression methodology for Nellore cattle raised in Pantanal, MS, Brazil (6974 calves; n = 53,233 weights), with at least four weighings per individual. The model considered direct and maternal genetic additives and maternal permanent environmental effects at random. Orthogonal Legendre polynomials of cubic order were used to fit the growth curve. Analyses of variance were performed using the GLM procedure. The model used contained the fixed effects of sex, year of birth, farm, and the covariates calf birth month (linear and quadratic) and cow age at calving (linear and quadratic). The adjusted mean weight at 120 days of age was 93.43 ± 19.78 kg, and for 205 days of age, it was 180.42 ± 26.58 kg. Animals born in the dry season had a higher average weight [kg] (219.57 vs. 211.78, 3.7% higher) and, consequently, had higher weights at 646 days of age. Estimates of direct heritabilities (h2a) ranged from 0.35 to 0.75 (high magnitudes), and maternal heritabilities (h2m) along the trajectory of low magnitudes ranged from 0.03 to 0.08, respectively. The use of random regression to evaluate beef animals allows for adjusting the growth curve and selecting the best animals to be the parents of future generations.

The Effect of Wood Species on Fine Particle and Gaseous Emissions from a Modern Wood Stove

Residential wood combustion (RWC) is a significant source of gaseous and particulate emissions causing adverse health and environmental effects. Several factors affect emissions, but the effects of the fuel wood species on emissions are currently not well understood. In this study, the Nordic wood species (named BirchA, BirchB, Spruce, SpruceDry, Pine and Alder) were combusted in a modern stove, and the emissions were studied. The lowest emissions were obtained from the combustion of BirchA and the highest from Spruce and Alder. The fine particle mass (PM2.5) was mainly composed of elemental carbon (50–70% of PM2.5), which is typical in modern appliances. The lowest PAH concentrations were measured from BirchA (total PAH 107 µg/m3) and Pine (250 µg/m3). In the ignition batch, the PAH concentration was about 4-fold (416 µg/m3). The PAHs did not correlate with other organic compounds, and thus, volatile organic compounds (VOCs) or organic carbon (OC) concentrations cannot be used as an indicator of PAH emissions. Two birch species from different origins with a similar chemical composition but different density produced partially different emission profiles. This study indicates that emission differences may be due more to the physical properties of the wood and the combustion conditions than to the wood species themselves.

Intracellular vacuoles induced by hypo-osmotic stress visualized by coherent anti-Stokes Raman scattering (CARS) spectroscopic imaging

Abstract We analyzed the effects of a hypo-osmotic environment on rat Schwann cells, a type of glial cell surrounding neurons, using ultra-broadband multiplex coherent anti-Stokes Raman scattering (CARS) microscopy. After hypo-osmotic treatment, we detected vacuole-like components in the cytoplasm using both bright-field and CARS spectroscopic imaging. An approach integrating both morphological examination and a spectroscopic analysis based on multiple vibrational bands revealed that these structures are predominantly water-filled, and their characteristics closely resembled those of the vacuoles observed in plant cells.
 

Computational analysis of electromagnetic field exposure in passengers near high- current contact wire environments.

The electromagnetic environment of a railway station is composed of electrical, magnetic, and electromagnetic fields, which are generated by various sources such as traction current, voltage, pantograph-catenary arc, locomotive braking, wheel-rail rolling arc, and communication systems. However, there is public growing concern among the public about the potential negative human health effects of this electromagnetic environment. To analyze the distribution of electromagnetic fields in human tissues, electromagnetic simulation software is used to create a model that includes six track contact wires and four waiting passengers on three platforms. This model is used to analyze the magnetic field environment created by high currents in the contact wires of a multi-track high-speed railway station. By varying the loads on different contact wires, the distribution of electric field and magnetic flux density within human tissues of waiting passengers on different platforms is studied using this model. When the track is unoccupied, the calculation results show that the maximum values of the electric field and magnetic flux density of the passenger's human body tissue at the blind way on the platform and 1m of the blind way are 17.6mVm-1 and 52.7 μT, respectively. These values increase by 9.28mVm-1 and 16.4 μT compared to when the track is occupied. When more contact wires are loaded with currents, the electric field mode and magnetic flux density mode of human tissues increase at the same position on the platform. Specifically, when the contact wires of six tracks are loaded with current at the same time, the maximum values of the electric field mode and magnetic flux density mode of the waiting passengers' human tissues at the blind way on different platforms are 29.6mVm-1 and 88.1 μT, respectively. These maximum values are lower than the public electromagnetic exposure limits that are designated by the International Commission on Non-Ionizing Radiation Protection guidelines. The research results demonstrate that the magnetic field environment generated by the current in the contact wires of a railway station with six tracks does not pose a health risk to human tissues of passengers waiting at the blind way and 1m of the blind way on the platform. These findings can provide valuable data reference for the formulation of relevant standards for the design of electrified rail transit, as well as the suppression of electromagnetic interference and protection of human bioelectromagnetism.

Influence of Simulation and Interactivity on Human Perceptions of a Robot During Navigation Tasks

In Human-Robot Interaction, researchers typically utilize in-person studies to collect subjective perceptions of a robot. In addition, videos of interactions and interactive simulations (where participants control an avatar that interacts with a robot in a virtual world) have been used to quickly collect human feedback at scale. How would human perceptions of robots compare between these methodologies? To investigate this question, we conducted a 2x2 between-subjects study (N=160), which evaluated the effect of the interaction environment (Real vs. Simulated environment) and participants’ interactivity during human-robot encounters (Interactive participation vs. Video observations) on perceptions about a robot (competence, discomfort, social presentation, and social information processing) for the task of navigating in concert with people. We also studied participants’ workload across the experimental conditions. Our results revealed a significant difference in the perceptions of the robot between the real environment and the simulated environment. Furthermore, our results showed differences in human perceptions when people watched a video of an encounter versus taking part in the encounter. Finally, we found that simulated interactions and videos of the simulated encounter resulted in a higher workload than real-world encounters and videos thereof. Our results suggest that findings from video and simulation methodologies may not always translate to real-world human-robot interactions. In order to allow practitioners to leverage learnings from this study and future researchers to expand our knowledge in this area, we provide guidelines for weighing the tradeoffs between different methodologies.

Social and environmental outcomes of urban street tree bed stewardship

Abstract As projections of exponential urbanization persist, promoting the health of urban populations is one of the most urgent and challenging issues of the 21st century. By taking a planetary health approach and considering the reciprocal relationship between human health and the health of ecosystems, the integration of nature-based solutions into cities can address multiple urban challenges at once. Citizen stewardship of street trees and street tree beds is one such nature-based solution that challenges rapid urbanization while offering a healthier and greener future. Not only does citizen stewardship of street trees play a significant role in tree longevity, but our research suggests that the process of stewardship itself also positively impacts the health and wellbeing of stewards themselves. In this study, we sought to assess the motivations of street tree citizen stewards and the perceived social, environmental, and health effects of stewarding street tree beds in Freiburg, Germany. Based on a questionnaire-based survey and semi-structured interviews with tree stewards, we found that the most common motivations of citizen stewards were modeling positive environmental behavior as well as a desire to help the environment and one’s community. The perceived outcomes included a strong sense of place, a meaningful connection to nature, and the belief that stewarding a street tree bed is good for one’s mental health as well as the environment. Participants also considered street tree beds to be their personal gardens, suggesting that street tree beds may serve as restorative spaces that strengthen public health and social capital while sustaining urban greening. This case study expands the scientific discourse of urban gardening while suggesting that citizen stewardship of street trees and tree beds offers myriad co-benefits for urban ecosystems and public health.

Creep Phenomena, Mechanisms, and Modeling of Complex Engineering Alloys

Metal creep has been a subject of extensive study for more than 110 years because it affects the useful life of engineering components operating at high temperatures. This is even more true with ever-increasing operating temperatures of propulsion/power-generation systems and the environmental regulations to reduce greenhouse emissions. This review summarizes the recent development in creep modeling with regards to creep strain evolution, creep rate, creep ductility, creep life, and fracture mode, attempting to provide a comprehensive mechanism-based framework to address all the important creep phenomena and the long-standing issue of long-term creep life prediction with microstructural evolution and environmental effects.

Impact of Nurse Manager’s Attributes on Multi-Cultural Nursing Teams: A Scoping Review

Background: As global migration increases, nurse managers’ effectiveness in multi-cultural nursing work environments is crucial due to the rising cultural diversity within healthcare teams. Despite the increasing international recruitment of qualified nurses to address the worldwide nursing shortage, no studies have synthesised the impact of nurse managers’ attributes on nurses in multi-cultural nursing teams. Therefore, it was conducted a literature review aimed to synthesise the available literature on how nurse managers’ personality traits, competencies, behaviours, and leadership styles influence nurse outcomes in multi-cultural nursing teams. Methods: Scoping review conducted according to the Joanna Briggs Institute guidelines to map the relationship or influence of nurse managers’ personality traits, competencies, behaviours, and leadership styles on the outcomes of nurses in multi-cultural settings across various clinical environments. Searches were conducted across electronic databases such as CINAHL and MEDLINE, along with grey literature. Results: This review included 39 studies, highlighting 29 personality traits, 9 competencies, 115 behaviours, and 5 leadership styles that impact nurses’ outcomes. Key findings emphasise the importance of nurse managers being supportive, culturally competent, and effective communicators, with transformational leadership style being particularly beneficial. Conclusions: These findings provide insights for planning and developing training programmes to equip current and future nurse managers with skills to effectively lead in multi-cultural care settings.

Reduced seagrass resilience due to environmental and anthropogenic effects may lead to future die-off events in Florida Bay

Coastal systems often depend on foundation species such as seagrasses that are supported by self-facilitation. Seagrass meadows, however, are threatened worldwide due to climate change and local human impact, disrupting self-facilitation leading to system instability. Florida Bay is a large seagrass dominated coastal ecosystem that suffered from multiple seagrass mortality events over the last half century driven by hypoxia, high water temperatures, hypersalinity, and high biological oxygen demand. These conditions reduce the amount of photosynthetically-derived oxygen in the plant causing sulphide intrusion into meristematic tissues. Using a bay-wide sampling design and long-term monitoring trends of seagrass condition, we investigated the current state of the meadows, sediment characteristics (e.g., organic matter, sulphide, nutrients) and discuss how climate stressors interact with plant and sediment oxygen dynamics. Our survey revealed that at sites where seagrass had been previously denuded by die-off, the dominant seagrass Thalassia testudinum had not recovered, while the pioneering seagrass Halodule wrightii recolonized the impacted areas. Organic matter and sulphide levels were higher at the impacted sites, apparently a persistent characteristic of the formerly dense T. testudinum meadows in central and western Florida Bay. These sediment conditions promote sulphide intrusion of T. testudinum belowground tissue under anoxic conditions. Plant oxidation initially buffers sulphide intrusion, but disruption of this oxidation mechanism due to changing environmental conditions results in widespread mortality and seagrass community collapse. Climate change cannot be fully mitigated by local management, however, attempts can be made to control critical salinity and oxygen levels by increasing freshwater input, reducing hypersalinity and aiming to keep the internal seagrass oxidation feedback intact. Our study shows that the Florida Bay seagrass ecosystem is still recovering four years post die-off and continues to be susceptible to future climate change and system degradation.

Environmental liability insurance, green innovation, and mediation effect study

This paper begins by establishing a three-party game model involving three key players: the insurer, the firm, and the government. This model is used to analyze the utility of each party in various scenarios, one of which encourages green innovation within the firm. According to this model, when the insurer rejects insurance coverage and the government maintains a neutral stance on environmental liability insurance, the firm may opt to engage in green innovation. Green innovation fundamentally serves as a mechanism to mitigate environmental pollution risks stemming from the firm’s operational processes. In cases where the insurer declines underwriting, it becomes rational for the firm to enhance its risk management through green innovation, which can be viewed as a mitigating factor in the context of environmental liability insurance. To comprehensively examine the overall impact of environmental liability insurance on the green innovation endeavors of firms, we use a mediation effect model utilizing firm-level data from heavily polluting industries. This paper delves into the intricate relationship between environmental liability insurance and the capacity of heavily polluting firms to engage in green innovation, along with the mediating influence of financing constraints between these two factors. The findings of this analysis suggest that the acquisition of environmental liability insurance enhances the green innovation capabilities of firms operating in heavily polluting industries by alleviating financing constraints, serving as a mediating factor in this regard.

Heritability and correlations for honey yield, handling ease, brood quantity, and traits related to resilience in a French honeybee population

There is growing interest in selective breeding of the honeybee, resulting in the emergence of new breeding projects, often with an emphasis on improving resilience traits, in particular toward brood diseases. Lately, feed autonomy is also gaining importance. Here, we use data from a small breeding nucleus in France to estimate genetic parameters for common bee breeding traits and a novel trait reflecting honey reserves in the brood chamber. Open-mated queens were produced each year from inseminated dams between 2019 and 2021, and ~330 colonies were phenotyped each following year at three periods during the entire beekeeping season. Genetic parameters were estimated using ReML with an animal model. Narrow-sense heritability estimates ranged from low (around 0.15) for calmness and total capped brood surface both measured in early summer, to moderate (0.30 to 0.40) for hygienic behavior in spring, honey yield, and phoretic V. destructor load in early summer. Honey reserves in the brood chamber showed an intermediate heritability throughout the season (around 0.25). Gentleness had a null heritability. Most correlations between phenotypes adjusted for environmental fixed effects were close to zero. Among exceptions, there were honey reserves in the brood chamber in early summer with honey yield (around −0.2) and with the total capped brood surface in early summer (around −0.3). These estimates, although uncertain due to the dataset size, suggest that selection for production and resilience will be effective, even though simultaneous selection for honey yield and feed reserves might be difficult due to a possible genetic antagonism between both traits.

Modeling green recycled aggregate concrete using machine learning and variance-based sensitivity analysis

Recycled aggregate concrete (RAC) is commonly used to lessen the environmental effect of concrete building and demolition waste. The compressive strength of the RAC is one of the most critical factors influencing concrete quality. The compressive strength is assessed by a compression test, which takes a large number of materials and is expensive and time-consuming. With the development of novel concrete mixes and applications, academics are obliged to seek accurate models for forecasting mechanical strength. A significant source of difficulty in compressive strength modeling is that there are many mixture components and testing conditions whose variation significantly influences the predicted values. To this end, this study explores the mixture design of sustainable concrete in order to generate eco-friendly concrete mixes. Tests are conducted on 18 different mixtures comprising different proportions of waste tires, plastic, cement, and red brick to experiment with new green RAC mixtures. For the modeling part, the deep residual neural networks (DRNNs) method is first presented to the problem, aided by a database from the literature for a pretraining task. The proposed DRNNs structure uses shortcuts (i.e., residual connections) that bypass some layers in the deep network structure to alleviate the problem of training with high accuracy. The performance of the proposed DRNNs is evaluated using different goodness of fit measures and compared with well-known machine learning tools. The findings showed that the suggested model could provide credible predictions about the desired mechanical parameter, saving the required lab efforts by 40 %. Finally, a variance-based global sensitivity analysis is performed with the Latin hypercube simulation method to help rank/prioritize each mixture component's impact on determining the compressive strength in practice while mitigating the potential misrepresentation of results due to the correlations between the input parameters. The analysis showed that cement and waste contents are the most significant ones in their first and total order effects.

Northern Pulmonary Hypertension: A Forgotten Kind of Pulmonary Circulation Pathology

Northern pulmonary hypertension (NPH) is a medical condition that is still enigmatic in non-Russian-speaking countries. The extant previous literature is mostly available in the Russian language and, therefore, not accessible to the rest of the world. The recent increased interest in climate changes and environmental effects on pulmonary circulation prompted us to summarize the knowledge from the past about the effects of cold on pulmonary vasculature. In this review, we, for the first time, describe, in detail, the pathological attributes of human NPH, a medical disorder that occurs in people living in extremely cold regions, in the English language. Briefly, NPH is characterized by the hyper-muscularization of the pulmonary arteries and de novo muscularization of the arterioles with the ultimate development of right ventricular hypertrophy. However, the profound molecular mechanisms of the NPH pathology are to be revealed in future comprehensive studies.

A Review on Adaptive Responses of Salamanders to Climate Change

Extinction rates of salamanders are predicted to rise exponentially under rapidly changing environmental conditions. Due to a wide range of anthropogenic activities, the populations of salamanders are highly threatened. The previous published data indicate that salamanders have adapted various plastic responses to acclimatize to the changing environment. These plastic responses help them to buffer the adverse effects of changing environments and also allow them to adapt to new habitats. The objectives of this review paper are to explore the impact of changing climate on salamanders, to elucidate the diverse strategies they employ to mitigate these challenges, and to evaluate the limitations and evolutionary significance of these measures. Additionally, this study will endeavor to forecast whether these adaptive changes are sufficient to address the evolving climate conditions.

Control of paleoclimate and paleoweathering on chromium contents in a non-ultramafic aquifer hosting high chromium groundwater.

Cr(VI) is a carcinogen with proven mutagenic and genotoxic effects. The effects of the depositional environment (e.g., paleoweathering, paleoclimate, and paleoredox condition) on Crenrichment in non-ultramafic aquifer solids are unclear. In this study, we presented the sedimentary characteristics of a borehole from a typical non-ultramafic aquifer with high Cr groundwater in Jingbian, central Ordos Basin, China. Chromium was enriched in the K1h sandstone aquifer, especially at depths of 400-500m, with the highest value of mass transport coefficient (τAl,Cr) up to 92.13% and τAl,Fe up to 33.5%. The provenance of aquifer Cr was predominantly intermediate and felsic igneous rocks with a mafic rock mixture. This mafic source was inferred from Cr-rich granodiorite and mafic/ultramafic rocks in the Yinshan (Daqingshan-Wulashan) Block, northern Ordos Basin. The Cr-rich aquifer in K1h was developed due to a moderate chemical index of alteration (CIA) (mean, 56.7) under relatively warm and humid paleoclimate, as evidenced by high CIA-temperature (CIA-Temp) (mean, 6.79°C) and paleoclimatic index values (mean, 0.40). Fe-Mn redox cycling in the oxic to suboxic environments contributed to aquifer Cr accumulation. Using path analysis, we identified that paleoclimate created favorable weathering conditions and enrichment of Fe contributed to the formation of high-Cr aquifers. The study reveals the formation of positive Cr anomalies in non-ultramafic aquifers, which is the potential source of groundwater Cr, and highlights the effects of depositional factors on Cr accumulation during aquifer deposition or early diagenesis. It can provide new insights into the natural processes of high-Cr sediments occurring in non-ultramafic aquifers.

Contamination status, source analysis and exposure assessments of quinolone antibiotics in the south of Yancheng Coastal Wetland, China.

Yancheng coastal wetland, the largest coastal wetland in the west coast of the Pacific Ocean and the margin of the Asian continent, has significant environmental, economic and social effects on local human beings. The extensive contamination and potential risk of quinolone antibiotics (QNs) on local aquaculture and human health are still not clear until now. In this study, 52 surface sediment samples were collected to investigate the contamination status and polluted sources, and evaluate ecological risks of QNs in the south of Yancheng coastal wetland. The total contents of QNs ranged from 0.33 to 21.60ng/g dw (mean value of 4.51ng/g dw), following the detection frequencies of QNs ranging from 19.23 to 94.23%. The highest content of QNs occurred around an aquaculture pond dominated by flumequine. The total organic carbon contents of sediment were positively correlated with sarafloxacin and lomefloxacin (p < 0.05), indicating the enhanced absorption of these QNs onto sediments. Partial QNs, such as lomefloxacin, enrofloxacin, sarafloxacin and flumequine, presented the homology features originating from the emission of medical treatment and aquaculture. There was no potential risk of QNs to human beings but a potential risk to aquatic organisms (algae > plant > invertebrate). Totally, the management and protection of Yancheng coastal wetland should be of concern with aquaculture as the important industry.

Nonlinear behaviors in back-gate effects of FDSOI MOSFETs at cryogenic temperatures

In this work, we systematically investigate the DC performance of fully depleted silicon-on-insulator (FD-SOI) MOSFETs at both room and cryogenic temperatures as low as 77 K. The influences of back-gate bias on normal and flip-well devices are measured and analyzed. Both types devices display non-linear behaviors when adjusting the back-gate voltage at cryogenic temperatures. Notably, the non-linear effects are more prominent in normal-well devices. The possible reasons are analyzed and verified by technology computer aided design simulation, suggesting that normal-well devices are more susceptible to the formation of depletion regions between the buried oxide layer and the well. This phenomenon disrupts the linearity of the back-gate effect. This research contributes to understanding and characterizing of the back-gate effects in cryogenic environments and holds potential for high-performance computing applications.

Effect of Urban Environment on Cardiovascular Health: A Feasibility Pilot Study using Machine Learning to Predict Heart Rate Variability in Heart Failure Patients

Effect of Urban Environment on Cardiovascular Health: A Feasibility Pilot Study using Machine Learning to Predict Heart Rate Variability in Heart Failure Patients