Environmental Factors Research Articles

How environmental policy stringency, green investment, and renewable energy contribute to environmental pollution and load capacity factor in G11 countries?

AbstractAmid growing concerns about global environmental sustainability, the focus on understanding the interplay between environmental policies, investments in sustainable practices, and renewable energy sources has intensified. This study delves into the relationship between environmental policy stringency, green investment, and the utilization of renewable energy, specifically examining their impact on the load capacity factor (LCF) within G11 countries utilized from 2000 to 2021. Manifestly, LCF integrates both demand‐ and supply‐side aspects of environmental quality. It also utilizes a comprehensive indicator of environmental policy stringency, evaluating its impact alongside green investment. Employing the Cross Sectional‐Augmented Autoregressive Distributed Lag (CS‐ARDL) model and the Common Correlated Effect Mean Group (CCEMG) approach, this research demonstrates that environmental policy stringency, green investment, and renewable energy consumption positively and significantly influence the LCF, consequently fostering improvements in environmental sustainability in both short‐ and long‐term scenarios. It is worth mentioning that environmental policy stringency has the strongest effects on LCF followed by renewable energy. The findings strongly indicate that reinforcing environmental policies, promoting green investment, and embracing renewable energy usage can collectively yield a substantial reduction in environmental pressure for G11 countries.

The psycho-social impact of cancer treatment on the caregivers of the patients

Objectives The incidence of cancer cases shows an increasing trend over the past two decades owing to several factors, such as increased life expectancy, aging population, behavioral, environmental, and occupational risk factors, and more. Consequently, a greater number of people are expected to take the role of principal caregivers in the near future. Cancer treatment can have a multifaceted impact on the quality of life and psychological well-being of not only the patients but also their families. Caregivers are expected and required to provide complex care and support for which they are neither prepared nor trained. The reports of feeling overwhelmed and stressed are high when the demands placed on them exceed their resources, resulting in a negative effect on the overall well-being of the caregivers, including the patients themselves. The impact covers a wide spectrum of emotional, physical, financial, social, cognitive, spiritual, and work-related effects. Material and Methods This is a cross-sectional study conducted (for over three months from May to July 2023) among the caregivers accompanying cancer patients attending a tertiary care hospital in a South Indian metropolitan city. All the adult caregivers of patients diagnosed with cancer at least two to six months before the time of the study were considered as the study population. A systematic random sample was applied to recruit a convenient sample of 150 caregivers, maintaining the enrollment of only one caregiver per patient. Sociodemographic details of the patients and their caregivers were collected. The Zarit Burden Interview (ZBI) based on a Likert scale was implemented to collect relevant data related to both the cancer patient and the family caregiver. Results Of the total 150 cancer patients, the most common type of cancer among the patients was head and neck (63, 42%), followed by cancers of the female reproductive system (44, 29.3%) and breast (24, 16%). Nearly 47% of caregivers were children of cancer patients, while 35.3% were spouses. Significantly higher burden scores on the “emotional strain” and “financial/physical strain” domains were observed among female caregivers. Higher burden scores on the “self-criticism” domain were independently associated with a shorter caregiver-patient contact time. Significantly higher burden scores on the “self-criticism” and “time/dependence” domains were observed among employed caregivers. Higher levels of burden on the “financial/physical strain” domain were reported by unemployed caregivers. Significantly higher burden scores on the “uncertainty” domain were observed among older caregivers and caregivers who were parents or spouses of the patients. Conclusion Caregiving impacts the physical, emotional, financial, and social aspects of the caregiver’s life. They adopt active coping strategies to overcome the impacts of caregiving. A majority of the caregivers experienced mild to moderate burden, while most scored low on quality of life. Attention to concerns and the psychological well-being of caregivers may improve the overall scenario.

A Spectrum of Neural Tube Defects: An Observational Study in the Eastern State of India

Objective: This study aimed to determine the prevalence and types of neural tube defects (NTDs) in eastern India, examine the associated maternal and paternal risk factors, and evaluate the impact of antenatal ultrasonography for early detection and management.Materials and Methods: A four-year observational study was conducted at the IMS and SUM Hospital, SOA University, Bhubaneswar, India, from July 2020 to June 2024. Pregnant women attending the antenatal clinic were screened for NTDs by using high-resolution ultrasonography. Diagnosed cases were further confirmed by postmortem autopsy, when available. Relevant maternal and paternal demographic data, including age, socioeconomic status, consanguinity, body mass index (BMI), hyperthermia, and paternal occupation, were collected. Statistical analysis was performed using Fisher’s exact test to identify significant associations between these factors and NTD occurrence, with significance set at P < 0.05.Results: The incidence of NTDs was 9.12 per 1000 deliveries, with spina bifida (43.4%) being the most prevalent, followed by anencephaly (32.9%), and encephalocele (11.1%). NTDs were significantly associated with maternal age (20-24 years), lower socioeconomic status, consanguinity (12.93% of cases), maternal obesity (BMI ≥30 kg/m²), and hyperthermia (≥100 °F). Fathers engaged in labor-intensive occupations had higher rates of offspring with NTDs (56%). This study highlights the effectiveness of antenatal ultrasonography for early detection and management, particularly in high-risk populations.Conclusion: NTDs continue to pose a significant public health challenge in Eastern India. This study underscores the need for improved prenatal care, genetic counseling, and targeted public health interventions, including folic acid supplementation and lifestyle modifications, to mitigate risk factors. Future research should focus on expanding geographic coverage and integrating genetic analysis to better understand the complex interplay between environmental and genetic factors contributing to NTDs.

Rainfall is associated with divorce in the socially monogamous Seychelles warbler.

Divorce-terminating a pair bond whilst both members are alive-is a mating strategy observed in many socially monogamous species often linked to poor reproductive success. As environmental factors directly affect individual condition and reproductive performance, they can indirectly influence divorce. Given current climate change, understanding how environmental fluctuations affect partnership stability has important implications, including for conservation. Yet, the relationship between the environment and divorce remains largely unstudied. We examined the influence of temporal environmental variability on the prevalence of within- and between-season divorce and the possible underlying mechanisms in a socially monogamous passerine. Analysing 16 years of data from a longitudinal dataset, we investigated the relationship between rainfall and divorce in the Seychelles warbler (Acrocephalus sechellensis). First, we performed climate window analyses to identify the temporal windows of rainfall that best predict reproductive success and divorce. Then, we tested the effects of these temporal windows of rainfall on reproductive success and divorce and the influence of reproductive success on divorce whilst controlling for covariates. Annual divorce rates varied from 1% to 16%. The probability of divorce was significantly associated with the quadratic effect of 7 months of total rainfall before and during the breeding season, with divorce increasing in years with low and high rainfall. This quadratic relationship was driven by a heavy rainfall event in 1997, as excluding 1997 from our analyses left a significant negative linear relationship between rainfall and divorce. Although the same temporal window of rainfall predicting divorce significantly influenced reproductive success, we found no significant correlation between reproductive success and divorce. Our findings suggest that rainfall impacts divorce. Given that this effect is likely not directly mediated by reproductive success, we discuss other possible drivers. Although the 1997 super El Niño event shows how heavy rainfall may affect socially monogamous partnerships, more data are required to estimate the robustness of this effect. By adding to the growing body of literature showing that environmental conditions influence the stability of socially monogamous partnerships, we provide novel insights that may also be important for conservation efforts in times of climate change.

Environmental Efficiency of Municipalities in the Araguaia River Valley in the State of Mato Grosso, Brazil: an Approach Via Data Envelopment Analysis

Objective: The objective of this study is to evaluate the environmental efficiency of municipalities located in the Araguaia River Valley, in the State of Mato Grosso, Brazil, focusing on the relationship between economic development and sustainability, aiming to identify practices that promote the conservation of biodiversity and the reduction of environmental impacts. Theoretical Framework: The text addresses concepts of sustainable development and sustainability, highlighting important distinctions between them. It highlights the relevance of urban planning, in association with the Sustainable Development Goals, as a tool for including environmental factors in promoting environmental quality and the well-being of communities. In this sense, the rational use of natural resources appears to be a preponderant and essential factor in ensuring sustainability and promoting balanced development. Method: This is a qualitative and quantitative approach. The data were obtained through the Brazilian Institute of Geography and Statistics website for the Gross Domestic Product variable and on the Terrabrasilis website for the deforestation variable, involving 25 municipalities in Mato Grosso, in the Araguaia river basin. Based on the data, the R software was used to process the information, using a mathematical model based on Data Envelopment Analysis. Results and Discussion: The results showed a low level of environmental efficiency in the VRS model, with average values of 0.25762 (2017), 0.21655 (2018), 0.36978 (2019), 0.214396 (2020) and 0.28803 (2021). A minority of municipalities were highlighted in environmental efficiency, indicating that they are located on the DEA production frontier, pointing to a balance between environmental protection and economic growth. The success of the municipalities that stood out demonstrates the importance of planning, social mobilization and commitment, it is possible to reverse or minimize the scenario of environmental degradation. Research Implications: The study points to the need for public policies aimed at improving the environmental efficiencies of municipalities that showed lower performance, especially minimizing deforestation. Originality/Value: The originality of the study focuses on the importance of studies aimed at measuring environmental efficiency in the municipalities that make up the cerrado, highlighting the importance of preserving and conserving this biome.

Response of Alfalfa Leaf Traits and Rhizosphere Fungal Communities to Compost Application in Saline–Sodic Soil

Soil salinization is considered a major global environmental problem due to its adverse effects on agricultural sustainability and production. Compost is an environmentally friendly and sustainable measure used for reclaiming saline–sodic soil. However, the responses of the physiological characteristics of alfalfa and the structure and function of rhizosphere fungal communities after compost application in saline–sodic soil remain elusive. Here, a pot experiment was conducted to explore the effect of different compost application rates on soil properties, plant physiological traits, and rhizosphere fungal community characteristics. The results showed that compost significantly increased soil nutrients and corresponding soil enzyme activities, enhanced leaf photosynthesis traits, and ion homeostasis compared with the control treatment. We further found that the rhizosphere fungal communities were dominated by Sodiomyces at the genus level, and the relative abundance of pathogenic fungi, such as Botryotrichum, Plectosphaerella, Pseudogymnoascus, and Fusarium, declined after compost application. Moreover, the α-diversity indexes of the fungal community under compost application rates of 15% and 25% significantly decreased in comparison to the control treatment. The soil SOC, pH, TP, and TN were the main environmental factors affecting fungal community composition. The leaf photosynthetic traits and metal ion contents showed significantly positive correlations with Sodiomyces and Aspergillus. The fungal trophic mode was dominated by Pathotroph–Saprotroph–Symbiotroph and Saprotroph. Overall, our findings provide an important basis for the future application of microbial-based strategies to improve plant tolerance to saline-alkali stress.

Impact of Environmental Noise and Sleep Health on Pediatric Hypertension Incidence: ABCD Study.

Pediatric hypertension is linked to environmental factors like neighborhood noise disrupting sleep, which is crucial for health. The specific interaction between noise and sleep health in causing hypertension still needs to be explored. We analyzed data from 3320 participants of the ABCD (Adolescent Brain Cognitive Development) study, recruited across 21 US cities and monitored from 2018 to 2020 through 2020 to 2022. Participants with complete data on Fitbit-tracked sleep, blood pressure, height, neighborhood noise, and covariates (biological sex, race and ethnicity, pubertal stage, waist circumference) were included. Hypertension was defined as average blood pressure ≥95th percentile for age, sex, and height. Sleep health was categorized on the basis of daily duration: healthy (9-12 hours), moderately healthy (±1 hour from optimal), and low (≥1 hour deviation). Noise exposure was measured as median nighttime anthropogenic noise levels by zip code. The incidence of hypertension increased from 1.7% (95% CI, 1.4-2.1) in 2018 to 2020 to 2.9% (95% CI, 2.4-3.6) in 2020 to 2022. Adolescents with healthier sleep had a lower risk of developing hypertension (relative risk, 0.63 [95% CI, 0.25-0.82]), while no significant effects were found for neighborhood noise alone or in combination with sleep health. Adequate sleep significantly reduces the risk of hypertension in adolescents, independent of environmental noise exposure. These findings underscore the importance of promoting good sleep hygiene among youth to mitigate hypertension risk.

Integration of mRNA and miRNA Analysis Sheds New Light on the Muscle Response to Heat Stress in Spotted Sea Bass (Lateolabrax maculatus)

Temperature is a crucial environmental factor for fish. Elevated temperatures trigger various physiological and molecular responses designed to maintain internal environmental homeostasis and ensure the proper functioning of the organism. In this study, we measured biochemical parameters and performed mRNA–miRNA integrated transcriptomic analysis to characterize changes in gene expression profiles in the muscle tissue of spotted sea bass (Lateolabrax maculatus) under heat stress. The measurement of biochemical parameters revealed that the activities of nine biochemical enzymes (ALP, γ-GT, AST, GLU, CK, ALT, TG, LDH and TC) were significantly affected to varying degrees by elevated temperatures. A total of 1940 overlapping differentially expressed genes (DEGs) were identified among the five comparisons in the muscle tissue after heat stress. Protein–protein interaction (PPI) analysis of DEGs indicated that heat shock protein genes (HSPs) were deeply involved in the response to heat stress. In addition, we detected 462 differential alternative splicing (DAS) events and 618 DAS genes, which are closely associated with sarcomere assembly in muscle, highlighting the role of alternative splicing in thermal response regulation. Moreover, 32 differentially expressed miRNAs (DEMs) were identified in response to heat stress, and 599 DEGs were predicted as potential target genes of those DEMs, generating 846 DEG–DEM negative regulatory pairs potentially associated with thermal response. Function enrichment analysis of the target genes suggested that lipid metabolism-related pathways and genes were regulated by miRNAs. By analyzing PPIs of target genes, we identified 28 key negative regulatory pairs, including 13 miRNAs (such as lma-miR-122, lma-miR-200b-5p and novel-miR-444) and 15 target genes (such as hspa13, dnaja1, and dnajb1a). This study elucidates the molecular mechanisms of response to high-temperature stress and offers valuable information for the selection and breeding of heat-tolerant strains of spotted sea bass.

Standardization of color measurement in the medical photography in clinical practice

BACKGROUND: For many medical specialties, photography is a routine element of work. Environmental factors equally and significantly influence the interpretation of colour light perception and the quality of photographic recording. Standardization of conditions in medical photography is necessary for subsequent quantitative assessment of the postoperative skin scar by analysing colour coordinates in the RGB system. AIM: To determine the impact of illumination and shooting distance at colour coordinates when studying unaltered skin. METHODS: Five volunteers without any skin diseases and no make-up on their facial skin were taken in the study. Skin type by the Fitzpatrick scale was II–III. Digital photography was made with a mobile device camera at distance 30 cm from the subject. For each participant, a series of digital photographs was taken at a distance of 20, 30, 40, 50, 60, 70 cm from the light source. Colour coordinates in the RGB system were measured in the digital graphics editor Adobe Photoshop CS6. Statistical analysis of the obtained data was carried out using Microsoft Office Excel 2019, Phyton 3.11. RESULTS: The analysis of variance by the ANOVA method was used as a statistical analysis. In order to determine a statistically significant difference between the sets, Tukey HSD test was performed. A total of 1764 coordinates of three colours were subjected to statistical analysis (R=588, G=588, B=588). When constructing a heat map of the cross-correlation of the absolute values of each colour at each distance, taking into account the type of light source among themselves, the data had a strong direct correlation, regardless of the study area. When constructing a linear graph, coordinates of any of the zones were located on the same straight line. CONCLUSION: Photography conditions were experimentally determined under which the color interpretation of light is constant. Results of the study should be taken into account during medical photography and subsequent color assessment of postoperative skin scars.

Effect of Compound Fertilizer on Foxtail Millet Productivity and Soil Environment

The effects of balanced fertilization with nitrogen, phosphorus, and potassium (NPK) on foxtail millet productivity and the soil environment under the same conditions of total nutrients have received limited research attention. Therefore, in this study, three balanced fertilization patterns of 27-14-10 (T1), 27-17-7 (T2), and 30-10-11 (T3), and one no fertilization treatment (CK), a total of four treatments, were set up through a two-year field experiment to study the effects of balanced fertilization patterns on foxtail millet yield and soil environment. Mantel analysis was conducted to reveal the correlation between soil environmental factors and the community and their contribution to productivity. The results showed that: (1) all balanced fertilization treatments significantly increased foxtail millet yield, with the highest yield in the T1 treatment. (2) The contents of EC, available K, available P, and alkaline-hydrolyzable nitrogen in the soil of the two-year TI treatments were higher than those of the other treatments and increased by 7.20–9.36%, 24.87–52.35%, 55.83–56.38%, and 21.05–43.95%, respectively, compared with CK. (3) Soil urease activity in the T1 treatment increased significantly by 26.67% and 9.00% compared with the control over the two years. Sucrase activity increased by 36.27% and 23.88% in the T1 treatment compared to CK, and glutaminase activity increased by 33.33% and 19.23% in the T1 treatment compared to CK. (4) T1 treatment significantly increased the OUT number and diversity index of the soil bacterial community. (5) Mantel analysis and principal component analysis showed that available soil nutrients and soil enzymes were positively correlated, and soil enzymes and soil nutrients contributed more to foxtail millet productivity. In this study, the 27-14-10 balanced fertilization pattern was more effective, providing a theoretical basis for the research and development of special fertilizers for foxtail millet and offering technical guidance for realizing the light simplified cultivation of foxtail millet and sustainable development of cost–saving and increased efficiency.

Quantitative Analysis of the Evolution of Production–Living–Ecological Space in Traditional Villages: A Comparative Study of Rural Areas in Tibet

Since the introduction of the rural revitalization strategy by the 19th National Congress of the Communist Party of China in 2017, there have been significant transformations in the production–living–ecological space (PLES) within villages. Evaluating and enhancing villages’ PLES are crucial for fostering sustainable development. Therefore, this study utilized a multi-scale environmental assessment model and mathematical approach to conduct horizontal and vertical nested correlation analyses of indicators at different levels through a path analysis, a Spearman correlation analysis, a variance analysis, the entropy weight method, data simulation, and other methods to establish a “three-dimensional” comprehensive evaluation system for traditional village PLES. The findings indicate the following: (1) The ecological space of traditional villages in Tibet significantly impacts the overall environment of the PLES, with the components’ impact ranked as follows: ecological space > production space > living space. Furthermore, industry and tourism resources show a significant positive correlation with traditional villages’ PLES; (2) There are no significant differences in natural environmental factors, such as air relative humidity, temperature, humidity index, and wind efficiency index among traditional villages in neighboring cities in Tibet. However, they all possess profound ecological and cultural heritage; (3) There are notable disparities in living space between traditional villages in Lhasa and Nyingchi, indicating unbalanced development. It is evident that traditional village construction should not only focus on the development of certain PLES but also pay attention to the balanced development of the overall spatial environment. This study holds great significance for enhancing the living environment of traditional villages in Tibet and promoting sustainable development through protection efforts in these villages.

Host Galaxy Demographics Of Individually Detectable Supermassive Black-hole Binaries with Pulsar Timing Arrays

Abstract Massive black hole binaries (MBHBs) produce gravitational waves (GWs) that are detectable with pulsar timing arrays. We determine the properties of the host galaxies of simulated MBHBs at the time they are producing detectable GW signals. The population of MBHB systems we evaluate is from the \textit{Illustris} cosmological simulations taken in tandem with post processing semi-analytic models of environmental factors in the evolution of binaries. Upon evolving to the GW frequency regime accessible by pulsar timing arrays, we calculate the detection probability of each system using a variety of different values for pulsar noise characteristics in a plausible near-future International Pulsar Timing Array dataset. We find that detectable systems have host galaxies that are clearly distinct from the overall binary population and from most galaxies in general. With conservative noise factors, we find that host stellar metallicity, for example, peaks at $\sim2Z_\odot$ as opposed to the total population of galaxies which peaks at $\sim0.6Z_\odot$. Additionally, the most detectable systems are much brighter in magnitude and more red in color than the overall population, indicating their likely identity as large ellipticals with diminished star formation. These results can be used to develop effective search strategies for identifying host galaxies and electromagnetic counterparts following GW detection by pulsar timing arrays.

Adaptable and Generic Methods for Monitoring and Prognostics of Energy Assets

Monitoring and prognostics of energy assets are crucial for maintaining their reliability and efficiency. Effective monitoring ensures that potential issues are identified early, preventing unexpected failures and optimizing maintenance schedules. However, several challenges complicate this process in real-world scenarios, including poor data quality, low-fidelity and sparse data, the influence of external environmental factors, and diverse operating conditions and asset types. These challenges highlight the need for adaptable and generic solutions that can handle variability and complexity across different energy systems. This Ph.D. project aims to address these challenges by developing scalable, data-driven approaches for monitoring and prognostics. By focusing on creating adaptable and generic frameworks, the research seeks to provide robust solutions for real-world monitoring and prognostic problems for energy assets.

Internal physiological drivers of leaf development in trees: Understanding the relationship between non‐structural carbohydrates and leaf phenology

Abstract Plant phenology is crucial for understanding plant growth and climate feedback. It affects canopy structure, surface albedo, and carbon and water fluxes. While the influence of environmental factors on phenology is well‐documented, the role of plant intrinsic factors, particularly internal physiological processes and their interaction with external conditions, has received less attention. Non‐structural carbohydrates (NSC), which include sugars and starch essential for growth, metabolism and osmotic regulation, serve as indicators of carbon availability in plants. NSC levels reflect the carbon balance between photosynthesis (source activity) and the demands of growth and respiration (sink activity), making them key physiological traits that potentially influence phenology during critical periods such as spring leaf‐out and autumn leaf senescence. However, the connections between NSC concentrations in various organs and phenological events are poorly understood. This review synthesizes current research on the relationship between leaf phenology and NSC dynamics. We qualitatively delineate seasonal NSC variations in deciduous and evergreen trees and propose testable hypotheses about how NSC may interact with phenological stages such as bud break and leaf senescence. We also discuss how seasonal variations in NSC levels, align with existing conceptual models of carbon allocation. Accurate characterization and simulation of NSC dynamics are crucial and should be incorporated into carbon allocation models. By comparing and reviewing the development of carbon allocation models, we highlight the shortcomings in current methodologies and recommend directions to address these gaps in future research. Understanding the relationship between NSC, source–sink relationships, and leaf phenology poses challenges due to the difficulty of characterizing NSC dynamics with high temporal resolution. We advocate for a multi‐scale approach that combines various methods, which include deepening our mechanistic understanding through manipulative experiments, integrating carbon sink and source data from multiple observational networks with carbon allocation models to better characterize the NSC dynamics, and quantifying the spatial pattern and temporal trends of the NSC‐phenology relationship using remote sensing and modelling. This will enhance our comprehension of how NSC dynamics impact leaf phenology across different scales and environments. Read the free Plain Language Summary for this article on the Journal blog.

Priority Conservation Area of Quercus mongolica Under Climate Change: Application of an Ensemble Modeling

As the primary secondary tree species in Northeast China, Quercus mongolica possesses significant ecological and economic value. This study employed the Biomod2 platform in conjunction with ArcGIS spatial analysis to assess the potential suitable habitat distribution area of Q. mongolica under current climatic conditions. Furthermore, it forecasted the distribution range and niche changes of potentially suitable habitats for Q. mongolica from 2022 to 2090 and pinpointed the key environmental factors influencing its distribution. The findings reveal that the total potential suitable area for Q. mongolica covers 74,994.792 km2, predominantly spread across Inner Mongolia, Heilongjiang, Jilin, and other regions. The primary determinants of suitable area distribution were peak temperature of hottest month, lowest temperature of coldest month, and altitude. Under future climate scenarios, the potentially suitable habitats of Q. mongolica are anticipated to diminish to varying extents, with the distribution center exhibiting a tendency towards northward migration. Concurrently, the overlap among different climate scenarios is predicted to expand over time. This investigation facilitates a comprehensive understanding of Q. mongolica’s adaptation to climate change, enabling informed adjustments and serving as a valuable reference for the preservation and sustainable management of Q. mongolica populations.

IMMUNOLOGICAL INFLUENCES OF THE CALENDULA OFFICINALIS TEA TREATMENT IN DAIRY COWS

The influence of environmental factors and growth technologies has a substantial impact on health and immunization of animals following antigenic stimulation, so the way vaccine protection is provided cannot be evaluated outside the habitat framework. Medicinal plants have often been used to augment the immune response in humans or animals. In the case of bovine, due to technologies where access to grazing is increasingly available, the animals can benefit directly from the adjuvant influences of medicinal plants in the spontaneous flora. This research aimed at quantifying the effects of orally administered Calendula officinalis aqueous extract (tea) on the innate and adaptive cell-mediated immunity under vaccination conditions, trying to define its immune modulating effect in young bovine. For that, an experiment was performed by administering Calendula officinalis tea perorally to a batch of bovine vaccinated with a complex vaccine for a week post vaccination. On days 0, 7 and 14, in vitro leukocytes blast transformation, and the stress level expressed by the N / L ratio were determined. Vaccination is a stressful event for animals, however, the animals subjected to tea treatment had a higher initial N/L index, which decreased considerably, supporting the decrease in the level of stress by administering marigold tea. The in vitro capacity of the mononuclear cells sampled from the marigold tea treated group was higher towards the standard mitogens PHA M and LPS (p

Formation of single-dominant-species patches of Dicranopteris dichotoma primarily influenced by understory light intensity

IntroductionThe Dicranopteris dichotoma fern community plays vital roles in nutrient sequestration, succession regulation, and ecological threshold control. However, the mechanisms underlying the formation of the D. dichotoma–dominant community remain unclear.MethodsThis study established four different community types to investigate the effects of environmental factors on the formation of a D. dichotoma–dominant community.ResultsWe found that climate was the primary factor affecting the formation of patches dominated by D. dichotoma at the regional scale. Specifically, higher annual mean temperature and annual mean precipitation were associated with larger single-dominant-species patches of D. dichotoma. Understory light intensity was the major factor affecting the formation of the D. dichotoma community at the community scale. Light intensity ranging from 200 to 500 µmol·m⁻²·s⁻¹ was most conducive to the development of a large D. dichotoma community. Additionally, understory light intensity enhanced the importance value of D. dichotoma in the herb community by decreasing its biomass proportion of support modules and increasing its biomass proportion of photosynthetic and reproductive modules. Soil properties and D. dichotoma characteristics showed interactions with each other. Acidic red-yellow soil was most suitable for the formation of single-dominant-species patches of D. dichotoma, and the growth of D. dichotoma further decreased the soil pH. Soil total phosphorus content was identified as a limiting factor for formation of the D. dichotoma community.DiscussionIn summary, the formation of single-dominant-species patches of D. dichotoma is mainly influenced by a combination of climate, community, and soil.

Co-evolutionary decoupling in EMNEs’ internationalisation: A Chinese bank's journey of drifting apart from the US-led global financial system

We develop a co-evolutionary decoupling model to explain the decoupling process and its contributors, based on a Chinese bank's dynamic interdependency with the US-led global financial system. This decoupling is the joint outcome of the firm's strategic adaptations in response to economic, institutional, and geopolitical environmental challenges. By incorporating co-evolution and international relations perspectives into international business research, we reveal how and when non-economic environmental factors can decisively hinder a firm's, especially an EMNE's, internationalisation. This study provides new firm-level evidence on the ongoing Sino-US decoupling process, extending our understanding of international business through co-evolution and international relations perspectives.

Thermoregulation and survival during sepsis: insights from the cecal ligation and puncture experimental model

BackgroundSepsis remains a major global health concern due to its high prevalence and mortality. Changes in body temperature (Tb), such as hypothermia or fever, are diagnostic indicators and play a crucial role in the pathophysiology of sepsis. This study aims to characterize the thermoregulatory mechanisms during sepsis using the cecal ligation and puncture (CLP) model and explore how sepsis severity and ambient temperature (Ta) influence Tb regulation and mortality. Rats were subjected to mild or severe sepsis by CLP while housed at thermoneutral (28 °C) or subthermoneutral (22 °C) Ta, and their Tb was monitored for 12 h. Blood and hypothalamus were collected for cytokines and prostaglandin E2 (PGE2) analysis.ResultsAt 28 °C, febrile response magnitude correlated with sepsis severity and inflammatory response, with tail vasoconstriction as the primary heat retention mechanism. At 22 °C, Tb was maintained during mild sepsis but dropped during severe sepsis, linked to reduced UCP1 expression in brown adipose tissue and less effective vasoconstriction. Despite differences in thermoregulatory responses, both Ta conditions induced a persistent inflammatory response and increased hypothalamic PGE2 production. Notably, mortality in severe sepsis was significantly higher at 28 °C (80%) compared to 22 °C (0%).ConclusionsOur findings reveal that ambient temperature and the inflammatory burden critically influence thermoregulation and survival during early sepsis. These results emphasize the importance of considering environmental factors in preclinical sepsis studies. Although rodents in experimental settings are often adapted to cold environments, these conditions may not fully translate to human sepsis, where cold adaptation is rare. Thus, researchers should carefully consider these variables when designing experiments and interpreting translational implications.Graphical Graphical representation of the thermoregulatory and inflammatory responses to mild and severe sepsis in rats housed at thermoneutral (28 °C) and subthermoneutral (22 °C) ambient temperatures (Ta). The model highlights distinct body temperature outcomes: fever and hypothermia. At thermoneutral Ta, severe sepsis induces a high fever, associated with increased hypothalamic PGE2, cytokine levels, and mortality, while mild sepsis leads to a moderate fever. In contrast, at subthermoneutral Ta, severe sepsis results in hypothermia with decreased UCP1 expression and lower mortality, whereas mild sepsis maintains normal body temperature. The impact of Ta on sepsis severity, thermoregulatory mechanisms, and survival is emphasized.

The Role of Microbiome in Pregnancy: Exploring Links Between Vaginal Health, Preterm Birth, and Preeclampsia

The vaginal microbiome plays a critical role in maintaining vaginal health during pregnancy and is strongly linked to adverse pregnancy outcomes, including preterm birth and preeclampsia. The composition and diversity of the microbiome fluctuate throughout pregnancy, influenced by hormonal changes, environmental factors, and lifestyle. Recent studies have highlighted the importance of certain microbiota, particularly Lactobacillus species, in protecting against infections and inflammation. Conversely, dysbiosis, characterized by a decrease in Lactobacillus dominance, has been associated with an increased risk of preterm birth and preeclampsia. This article explores the current understanding of the vaginal microbiome in pregnancy, its role in preventing pregnancy complications, and future research directions for improving maternal and fetal health.