Influence Of Factors Research Articles

From the tam model to the acceptance of using the flipped classroom in teaching at primary schools: A case study in Vietnam

The flipped classroom (FC) model has long brought significant benefits to higher education, secondary, and elementary education, particularly in improving the quality and effectiveness of learning. However, the implementation of FC model to support elementary students in developing self-learning skills (autonomous learning, independent study, self-directed learning) through technology still faces numerous challenges in Vietnam due to various influencing factors. Data for the study were collected through direct questionnaires and online surveys from 517 teachers at elementary schools in Da Nang, Vietnam. Based on SEM analysis, the study identified factors such as perceived usefulness, accessibility, desire, teaching style, and facilitating conditions. The research findings indicate that factors like the perceived effectiveness of the model, teaching style, and facilitating conditions have a positive correlation with the decision to adopt the FC model. Therefore, to encourage the use of the FC model in teaching, it is essential to raise awareness of the model’s effectiveness, improve teaching styles, and create favorable conditions for implementation.

"Hit a bottleneck": a convergent mixed-methods approach to the Influencing factors and experience of fertility intention among mothers of childbearing age with two children in mainland China.

Fertility rates have been decreasing both worldwide and in China. Although current policies have been aimed at raising the birth rate in China, their overall effects have been unclear. Therefore, exploration of fertility intention and related influencing factors is crucial. This study used a convergent parallel mixed methods combining descriptive and cross-sectional designs with a framework analysis. Convenience sampling was used to select mothers of childbearing age with two children (n = 603), living in Guangdong Province, China. Participants completed an online questionnaire investigating sociodemographic characteristics, as well as determinants and attitudes regarding the third-child fertility intention. Correlation coefficients and multivariate regression analyses were used to present quantitative findings. Eleven interviews were conducted, and a framework analysis method was used for data analysis. The results for the qualitative and quantitative study components were analyzed separately and were subsequently integrated through side-by-side comparison and joint display. Attitudes toward fertility intention were negative, and the rate of fertility intention was 10.4% in Guangdong Province. In the quantitative component, women's age, perceived value of having a third child, and attitudes were found to be factors promoting the intention to have a third child, whereas monthly family income, grandparents' health status, and policy support were found to be factors hindering the intention to have a third child. Four major themes emerged regarding the perceptions and experiences regarding fertility intention in the qualitative component. After integrated analysis, younger age, knowledge regarding policy support, and access to childcare support were found to be factors significantly affecting the intentions of mothers with two children regarding having a third child. Fertility issues require continued attention. Our findings provide a reference for optimizing existing policies to increase fertility intentions. Providing policy support, such as public childcare support, flexible working hours for mothers, affordable childcare, and greater psychological support, would enable mothers to improve their parenting. In addition, increasing the dissemination of knowledge regarding policies is necessary to improve the level of public understanding and promote fertility intention.

Association between triglyceride-glucose index and fractional exhaled nitric oxide in adults with asthma from NHANES 2007–2012

BackgroundSeveral studies have shown a potential relationship between triglyceride-glucose index (TGI) and asthma. However, limited research has been conducted on the relationship between TGI and fractional exhaled nitric oxide (FeNO).MethodsA total of 1,910 asthmatic individuals from the National Health and Nutrition Examination Survey (NHANES) database were included in this study. Linear regression analyses were used to investigate the relationship between TGI and FeNO in patients with asthma. Subsequently, a trend test was applied to verify whether there was a linear relationship between the TGI and FeNO. Finally, a subgroup analysis was performed to confirm the relationship among the different subgroup populations.ResultsMultivariable linear regression analyses showed that TGI was linearly related to FeNO in the asthmatic population. The trend test additionally validated the positive linear relationship between TGI and FeNO. The result of XGBoost revealed the five most influential factors on FeNO in a ranking of contrasted importance: eosinophil (EOS), body mass index (BMI), poverty-to-income ratio (PIR), TGI, and white blood cell count (WBC).ConclusionsThis investigation revealed a positive linear relationship between TGI and FeNO in patients with asthma. This finding suggests a potential relationship between TGI and airway inflammation in patients with asthma, thereby facilitating the prompt identification of irregularities and providing a basis for clinical decision making. This study provides a novel perspective on asthma management.

Development and validation of VTE prevention beliefs questionnaire for neurosurgical hospitalized patients based on HBM: a cross-sectional study

Patients hospitalized for neurosurgical procedures are highly susceptible to venous thromboembolism (VTE). It is crucial to evaluate the prevention beliefs of VTE among neurosurgical inpatients and analyse the influencing factors. This research sought to create an instrument grounded in the Health Belief Model (HBM) to evaluate the beliefs about VTE prevention and the factors influencing these beliefs among neurosurgical inpatients. A questionnaire comprising 28 questions was designed, validated, and distributed offline to 386 neurosurgical inpatients through random sampling. The data analysis was conducted using SPSS 26.0 and Amos 27.0. The measurement model was assessed through reliability, validity, and confirmatory factor analyses. Additionally, multiple linear regression analysis was utilized to identify the factors influencing VTE prevention beliefs. Statistical significance was determined by P values less than 0.05. The questionnaire encompassed six constructs, all of which exhibited strong internal consistency along with solid convergent and discriminant validity. VTE prevention beliefs score among neurosurgical inpatients was 99.56 (SD = 10.11). Among the belief dimensions, the scoring rate of perceived benefits and cues to action ranked highest, while perceived barriers were the lowest. The influencing factors of VTE prevention beliefs were educational attainment (β = 0.343, P < 0.001), receipt of VTE knowledge education from healthcare providers (β = 0.214, P < 0.001), Personal history of VTE (β = 0.175, P < 0.001), surgical history (β = 0.116, P < 0.01), sources of VTE-related information (β = 0.113, P < 0.01) and method of paying medical expenses (β = 0.112, P < 0.05). The questionnaire showed strong reliability and validity, and the results indicating that neurosurgical inpatients hold moderate beliefs about VTE prevention. While they recognize its benefits, barriers to preventive behaviors persist. Addressing these barriers and enhancing self-efficacy through targeted education and interventions is key to improving VTE prevention awareness and actions.

Immune checkpoint inhibitors-related thyroid dysfunction: influencing factor analysis, prediction model development, and management strategy proposal

BackgroundWith the extensive utilization of immune checkpoint inhibitors (ICIs) across various cancers, ICIs-related thyroid dysfunction (ICI-TD) has become a growing concern in clinical practice. This study aimed to devise an individualized management strategy for ICI-TD to enhance the early identification and proactive management in cancer patients.MethodsWe designed and conducted a three-phase study. Initially, we analyzed the influencing factors through a systematic review and meta-analysis, which adhered to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. Moreover, the study protocol was registered with PROSPERO (CRD42019131133). Subsequently, prediction models for ICI-TD were developed utilizing 11 algorithms based on the real-world cohort data from July 20, 2018 (the approval date of the first ICIs, Pembrolizumab in China), to October 31, 2022. Considering discrimination, calibration, and clinical utility, we selected the model with the best performance for web calculator development. Finally, individualized management strategies for ICI-TD were proposed by combining evidence-based analysis with practical considerations.ResultsThe systematic review encompassed 21 observational studies involving 4,145 patients, revealing associations between ICI-TD and factors such as female gender, age, receipt of Pembrolizumab (versus other ICIs), and baseline levels of thyroid-stimulating hormone, free thyroxine, and antithyroid antibodies. In the prediction model development phase, 621 participants were enrolled, with 36 patients developing ICI-TD. The model based on the LightGBM algorithm demonstrated superior performance, leading to the development of a web calculator. Based on these findings and existing guidelines, individualized monitoring and treatment pathways for pharmacists were devised.ConclusionThis study offers comprehensive insights into managing ICI-TD, potentially enhancing tailored cancer immunotherapy management.

Spatiotemporal differentiation and influencing factors of the degree of resilience coupling coordination in the Beijing–Tianjin–Hebei region, China

Urban agglomeration system resilience involves multiple subsystems that are interconnected and interactive, and exploring the relationships among subsystems can elucidate and increase urban agglomeration resilience. This study constructed a social-economic-built environment resilience model and proposed a social-economic-built environment resilience index system. Using the entropy weight method, the coupling coordination degree (CCD) model, GeoDetector, spatial autocorrelation analysis and the autoregressive integrated moving average model (ARIMA) model, the resilience development level of the Beijing‒Tianjin‒Hebei (BTH) region from 2000 to 2020 was evaluated, the main influencing factors for the spatiotemporal differentiation pattern were identified, and the development levels in 2030 and 2050 were predicted. The results show that (1) high-resilience and high-CCD regions are concentrated in the region of Beijing and Tianjin in the centre, and low-value regions are concentrated in the districts and counties in the west and south; (2) economic elements, especially the economic aggregate status of a region as a whole, are the main factors contributing to the differences in resilience levels between regions, but their influence gradually decreases; and (3) the gap between the CCDs of Beijing, Tianjin and cities in Hebei increased from 2000 to 2020, but this gap is expected to narrow by 2030 and 2050. On this basis, five categories of future development guidelines for cities in the BTH region are proposed.

Employee Loyalty Moderates the Relationship Between Job Satisfaction and Other Influencing Factors of Employees’ Performance

Employee Loyalty Moderates the Relationship Between Job Satisfaction and Other Influencing Factors of Employees’ Performance

Spatiotemporal variations of surface albedo in Central Asia and its influencing factors and confirmatory path analysis during the 21st century

Surface albedo (SA) is crucial for understanding land surface processes and climate simulation. This study analyzed SA changes and its influencing factors in Central Asia from 2001 to 2020, with projections 2025 to 2100. Factors analyzed included snow cover fraction, fractional vegetation cover, soil moisture, average state climate indices (temperature and precipitation), and extreme climate indices (heatwave indices and extreme precipitation indices). Pearson correlation coefficient, geographical convergent cross mapping, and geographical detector were used to quantify the correlation, causal relationship strength, and impact degree between SA and the influencing factors. To address multicollinearity, ridge regression (RR), geographically weighted ridge regression (GWRR), and piecewise structural equation modeling (pSEM) were combined to construct RR-pSEM and GWRR-pSEM models. Results indicated that SA in Central Asia increased from 2001 to 2010 and decreased from 2011 to 2020, with a projected future decline. There is a strong correlation and significant causality between SA and each factor. Snow cover fraction was identified as the most critical factor influencing SA. Average temperature and precipitation had a greater impact on SA than extreme climate indices, with a 1 °C temperature increase corresponding to a 0.004 decrease in SA. This study enhances understanding of SA changes under climate change, and provides a methodological framework for analyzing complex systems with multicollinearity. The proposed models offer valuable tools for studying interrelated factors in Earth system science.

Nitrogen fertilization and sowing date as wheat climate change adaptation tools under Mediterranean conditions

In the current situation, climate change has substantially disturbed precipitation occurrence in the Mediterranean region, by increasing its variability and decreasing the total annual amount, which both negatively affect rainfed crop productivity. We hypothesize that a simple cost-effective method for enhancing crop adaptation to new climate conditions would consist of modifying the crop sowing date. Traditional nitrogen (N) fertilization rates could also be adjusted to the current situation given the interdependent water/N relation in plant nutrition. Based on this hypothesis, during a 4-year field experiment with bread wheat (Triticum aestivum L., var. Pistolo), the effects of three sowing dates (October, November, February) and three N fertilization rates (54kgN ha-1, 27kgN ha-1, 0kgN ha-1) on crop development, yield, grain quality, soil N content and N use efficiency were analyzed. The results showed that water scarcity was the predominant limiting factor, because it outweighed N deficiency with half-fertilized crops being as productive as fully fertilized treatments. Nevertheless, sowing date was the most influential factor, with up to a 30% yield increase noted for the November-sown wheat compared to that sown in October, while delaying wheat sowing to February decreased crop yields. Grain protein content remained the same between the November- and October-sown crops, but increased in the February one crops. Optical sensor measurements showed that an optimal assessment of the current water/N nutritional status of crops can be achieved with these tools.

Predictive Factors of State Licensure Board Disciplinary Actions in Occupational Therapy.

One primary function of occupational therapy state licensure boards (SLBs) is the discipline of ethical misconduct by licensed occupational therapy practitioners. However, SLB sanctioning is poorly understood by practitioners, regulators, and the public. To identify predictors of occupational therapy practitioner sanctioning outcomes in the United States. Retrospective study; all public final consent orders and database entries provided online by SLBs were analyzed. Supervised gradient boosting machine learning, logistic regression, and contingency tables were used to generate odds ratios for variables associated with each sanctioning outcome. Multinomial testing was used to identify attribute overrepresentation among cases and national practitioner distributions. A total of 2,400 cases were analyzed across 47 states and Washington, DC. None. Numerous complaint and respondent attribute variables were collected from final consent orders and database entries. Complaint reason, practice setting, and complaint source had the highest influence on predicting sanction outcome; geographic region, number of complaints in a given case, and length of investigation in months were secondarily influential. Being male or a certified occupational therapy assistant was associated with higher odds of severe sanctioning outcomes. Disciplinary actions against occupational therapy practitioners were determined by numerous contextual factors; however, the most influential factors were complaint reason, practice setting, and complaint source. These results provide direction for exploring factors that predict sanctioning outcomes in the United States and also provide occupational therapy practitioners and SLBs a basis of applied outcomes that may improve implementation and education regarding clinical practice ethics. Plain-Language Summary: Occupational therapy state licensure boards (SLBs) are responsible for disciplining licensed occupational therapy practitioners for ethical misconduct. SLB sanctioning is poorly understood by practitioners, regulators, and the public. In this study, we identify the factors that predict the sanctioning outcomes of occupational therapy practitioners. The results may help state regulators, educators, and national associations more effectively act in a way that protects the public faith in occupational therapy services by providing contextualized information on practitioner behaviors that result in specific sanctioning outcomes. The study findings also provide occupational therapy practitioners and SLBs a basis of applied outcomes that may improve the implementation of and education regarding clinical practice ethics.

Iranian farmers' response to the drought crisis: How can the consequences of drought be reduced?

Climate change (CC) is an undeniable global phenomenon, impacting various regions, including Iran. Key components of CC, including the increase in greenhouse gases, rising temperatures, and fluctuations in precipitation patterns, are expected to significantly reduce agricultural crop yields in the near future. In response, identifying effective adaptation strategies is critical for mitigating these adverse effects. This study investigates the role of environmental values, risk perception, and psychological distance in shaping Iranian farmers’ adaptation strategies to CC. A sample of 390 farmers from Shushtar County in southwestern Iran was selected through a multi-stage stratified sampling method. Using structural equation modeling (SEM), the analysis revealed complex interrelationships between environmental values (biospheric, altruistic, and egoistic), beliefs, risk perception, psychological distance, and farmers' adaptation responses to CC. Furthermore, the results indicated that the study variables explain 67.6% of the variance in farmers' adaptive behaviors, with belief in CC emerging as the most influential factor. These findings not only enrich the current body of literature but also provide actionable insights for policymakers to foster adaptive strategies among farmers.

Factors influencing dementia patients' participation in advance care planning: A meta-analysis

ObjectiveA meta-analysis was conducted based on the available evidence to determine the influencing factors associated with the participation of people with dementia in advance care planning. MethodsA keyword search was performed in seven databases, Web of Science, PubMed, Embase, Cochrane Library, CINAHL, Scopus, and Void, to search for eligible studies published from the time of library construction up to February 1, 2024, to examine the factors influencing the participation of dementia patients in advance care planning and its effects. The quality of the included studies was evaluated using the Newcastle-Ottawa Scale (NOS) and the assessment criteria of the Agency for Healthcare Research and Quality (AHRQ). After literature search, data extraction and quality assessment were completed independently by two researchers, meta-analysis was performed using Stata software 15.0 to pool the odds ratios (OR) and 95% confidence intervals (CI). Heterogeneity between studies was assessed using the Cochran chi-square test (Cochran 's Q) and I2 values. ResultsA total of 19 studies were included in this study, and Meta-analysis showed that 8 of the 16 influencing factors were statistically significant: Patients' gender (OR=1.17; 95%: 1.13–1.2), age (OR=1.07; 95%: 1.03–1.1), education (OR=1.98; 95%: 1.65–2.38), race (OR=2.61; 95%: 1.67–4.08), the severity of the dementia (OR=1.46; 95%: 1.34- 1.58), ability to perform activities of daily living (OR=0.99; 95%: 0.97–1.0), religious affiliation (OR=2.24; 95%: 1.23–4.06), and patient income(OR=2.10; 95%: 1.47–2.98) were associated with participation in advance care planning. ConclusionsThe participation of dementia patients in advance care planning is influenced by gender, age, education, race, dementia severity, ability to perform activities of daily living, religious affiliation and patient income. The results of the study can inform the development of targeted interventions for dementia patients, thereby reducing overtreatment of dementia patients at the end of life and improving patient adherence to hospice care.

A Novel Multi-compartment Rotating Bioreactor for Improving ADSC-Spheroid Formation and its Application in Neurogenic Erectile Dysfunction.

The aim of this study was to construct a multicompartment synchronous rotating bioreactor (MCSRB) for batch-production of homogenized adipose-derived stem cell (ADSC) microspheres and treat neurogenic erectile dysfunction (ED). Firstly, an MCSRB was constructed using a centrifugal device and hinged trays. Secondly, influence factors (density, rotational speed) on the formation of ADSC-spheroids were explored. Finally, a neurogenic ED model was established to verify the effectiveness and safety of ADSC-spheroids for ED treatment. An MCSRB promoted ADSCs to gather microspheres, most of which were 90-130 μm in diameter. Supernatant from three-dimensional culture led to a significant increase in cytokine expression in ADSCs and migration rate in human umbilical vein endothelial cells (HUVECs) compared to control groups. The erectile function and pathological changes of the penis were improved in the ADSC-spheroids treatment group compared to the traditional ADSCs treatment group (p < 0.01). Efficient, batch, controlled and homogenized production of ADSC stem cell microspheres, and effective improvement of erectile dysfunction in neurogenic rats can be achieved using the MCSRB device.

Bibliometric Mapping of Factors Influencing Compliance in Nursing Care Documentation

ABSTRACT Accurate and complete nursing documentation plays an important role in ensuring the quality of nursing care and patient safety. However, adherence to documentation standards among nurses often remains a challenge that affects the overall quality of medical records and clinical interventions. This study was conducted to map research trends and factors affecting compliance in nursing documentation through a bibliometric analysis approach. The main objective of this study was to identify the main topics, key factors, as well as emerging publication trends related to nursing documentation compliance over the past few years. This study used the Publish or Perish application to collect 50 scientific articles published between 2016 and 2024, with keywords such as "compliance", "completeness", and "nursing care documentation". The data obtained was then analyzed using VOSviewer to visualize the bibliometric network based on the keywords that appeared in the literature. Through Network Visualization, Overlay Visualization, and Density Visualization, this study identified the main keywords such as "completeness", "motivation", "knowledge", and "compliance" that were most frequently discussed in related studies. The results of the analysis showed that documentation completeness and its influencing factors, such as nurse motivation and knowledge, are the main focus in the documentation compliance literature. In addition, the publication trend shows a significant increase in 2020 and 2021, most likely related to the COVID-19 pandemic situation that drives increased attention to the quality of documentation in healthcare. The conclusion of this study shows that adherence in nursing documentation, specifically related to the completeness, motivation, and knowledge of nurses, is an important topic that continues to grow in research. Although technologies such as electronic medical records are also relevant, the focus of research seems to be more on behavioral factors that influence documentation quality. This study provides guidance for researchers to identify gaps in the literature that could be further explored, especially in the development of more effective and integrated documentation systems. Keywords: Compliance, Completeness, Nursing Care Documentation, Motivation, Knowledge

The discussion of the relationship between cardiopulmonary bypass and postoperative thyroid function changes in pediatric congenital heart disease, and the analysis of oral thyroid hormone therapy and cardiac prognosis.

This study aims to investigate the relationship between CPB factors and changes in TH levels in postoperative patients and the effect of oral levothyroxine sodium tablets on outcomes in patients with postoperative TF abnormalities. Select patients who underwent CHD surgery between September 2017 and September 2023 and were aged 13 years or younger. The relationship between CPB and postoperative TF changes and the influencing factors were analyzed. In addition, patients with different diseases and ages were divided into the medication group and the non-medication group. The primary outcome was postoperative ejection fraction (EF), and the secondary outcomes were PICU hospitalization days and total hospital cost. Seven hundred 53 patients were included. The longer the CPB time and ACC time, the lower the postoperative triiodothyronine (T3) and thyroxin (T4) levels (p < 0.001 and p < 0.001). The longer the CPB time, the more pronounced the postoperative T3 level abnormality (p < 0.001). The longer the CPB time, ACC time, and DHCA time, the more pronounced the postoperative T4 level abnormalities (p < 0.001 and p < 0.001 and p = 0.046). The postoperative EF of patients in the medication group was slightly higher than that of the non-medication group, and the EF before discharge was significantly higher than that of the non-medication group (p = 0.021, p = 0.015, and p = 0.024). Postoperative PICU days in the medication group [3.0 (2.0,7.0) versus4.0 (2.0,10.0), p = 0.020] were shorter than the non-medication group, and the proportion of ≤ 5days was more [154 (66.1%) versus304 (58.5%), p = 0.047]. The total hospitalization cost was slightly lower in the medication group (p < 0.05). The duration of CPB, ACC, and DHCA in the open surgery process for CHD affects patients' thyroid function in the postoperative period. In our study, we found that oral levothyroxine sodium tablets are beneficial to the children's postoperative recovery.

Analysis of Canopy Interception Characteristics and Influencing Factors in Typical Artificial Forest in the Loess Plateau Semi-Arid Region

Interception loss (IL) is an important process in the hydrological cycle within semi-arid forest ecosystems, directly affecting the amount of effective rainfall. However, the factors influencing IL during individual rainfall events remain to be quantified. This study collected rainfall, vegetation, and interception data during the 2022 and 2023 growing seasons in a typical black locust forest within the Zhifanggou watershed. It employed the Random Forest Regression (RFR) and back-propagation neural network (BPNN) methods to quantitatively evaluate the contribution rates of various factors to the IL and interception loss percentage (ILP). The IL among the 48 effective rainfall events was 172.05 mm, accounting for 19.54% of the rainfall amount. IL and ILP increased as the distance from the trunk decreased. During all rainfall events, both IL and ILP were significantly negatively correlated with the leaf area index (LAI) and canopy cover (CC); IL is significantly positively correlated with total rainfall (TR) and rainfall intensity (RI), while ILP is significantly negatively correlated with TR, RI, and rainfall duration (RD). The BPNN and RFR results indicated that rainfall, canopy, and tree characteristics contributed 43.06%, 44.79%, and 12.15% to IL, respectively, and 57.27%, 34.09%, and 8.63% to ILP, respectively. TR, CC, and LAI represented the primary influencing factors. Rainfall and canopy characteristics were the main factors affecting IL (ILP). As rainfall event magnitude increases, canopy contributions to IL and ILP decrease. In semi-arid areas, managing forest canopies to control IL helps address water imbalances in ecosystems.

Health Literacy in Non-dialyzed Chronic Kidney Disease Patients: A Cross-Sectional Study

Objective: To explore the current status and influencing factors of health literacy in non-dialyzed chronic kidney disease (CKD) patients, and to provide a basis for developing more comprehensive and effective interventions. Methods: 206 CKD patients hospitalized or followed up in outpatient clinics in the Department of Nephrology of a tertiary hospital in Baoding City were conveniently selected from June to August 2024. General information questionnaire, Health Literacy Scale for Chronic Disease Patients, Perceived Social Support Scale, and Positive Psychological Questionnaire were used to conduct the survey. Results: The health literacy score of non-dialyzed CKD patients was (91.04±15.17); The results of multiple linear regression analysis showed that the number of comorbidities, education level, per capita monthly household income, family support, and optimism were the influencing factors of health literacy in CKD patients. Conclusion: The health literacy of non-dialyzed CKD patients is low, and healthcare professionals should develop scientific and reasonable intervention programs based on their influencing factors in order to enhance the health literacy and delay disease progression.

Employing stable isotopes to reveal temporal trajectories of water travelling through the soil–plant-atmosphere continuum

The spatiotemporal patterns of water travelling through the soil–plant-atmosphere continuum (SPAC) have received much attention due to the frequency of extreme weather and water scarcity. However, the interconnections and transboundary transport of specific compartments within the hydrologic cycle are poorly understood. We portrayed the propagation paths of water isotope signals by analyzing isotopes of precipitation, soil water, and xylem water. The isotope sine curves analysis method was improved to quantify water transfer efficiency, mean transmission time from precipitation to soil (MTT1), mean transmission time from soil to trees (MTT2), mean residence time within soil (MRTSW), and mean residence time within tree xylems (MRTXY). The temporal trajectory of water traveling through SPAC was depicted, and its influencing factors and intrinsic mechanisms were explored. Our results showed that (1) water isotopes were blocked when crossing water pools (precipitation, soil water, and xylem water) and the transfer efficiency was progressively weaker (85.5 %→13.5 %). (2) The MTT1 was significantly and positively correlated with soil porosity (Spearman correlation coefficient, 0.551). Its spatiotemporal pattern (0.8–15.9d) indicated that the transport and mixing of soil water involved two modes: displacement flow and bypass flow. The MTT2 (−13.2d–4.3d) of Platycadus orientalis was in general smaller than that of Quercus variabilis (−4.7d–11.5d). (3) The MRT (35.2d–343.8d) was influenced by a combination of soil physicochemical properties, root distribution, and tree morphological traits. Our study shows that connectivity between pools is better reflected with transfer efficiency. Comparing MTT and MRT of P. orientalis and Q. variabilis, tree hydrodynamic processes were quantified, and P. orientalis was more sensitive to seasonal moisture variability. Additionally, our study improved the understanding of the “black box” within the hydrological interface of plant-soil interactions.

A New Test for Evaluating the Psychological Impact of COVID-19 in Nurses

Introduction During the COVID-19 pandemic, many health care workers were involved and suffered significant physical and psychological strain, and nursing was one of the main players. Clearly and objectively establishing the psychological impact on nurses during the pandemic is necessary for long-term recovery and to be prepared for new outbreaks in the future. Aim The aims of this study were to evaluate the perceived impact on nurses at risk of psychological stress at work during a major health care crisis and determine the psychological impact and its influencing factors. Methods An online questionnaire was designed and distributed between April 9 and April 19, 2020, in Spain. The comprehensive self-conducted questionnaire included demographic information and the Psychological Stress and Adaptation at work Score. For the analysis, descriptive statistics, logistic regressions, and receiver operating characteristic curves were determined. Results A total of 825 nurses (33% working in intensive care units and emergency departments) answered the questionnaire. A logistic regression analysis revealed that nurses with higher psychological stress scores experienced more physical overload (P = .02), higher psychological overload (P &lt; .01), poor teamwork (P = .02), more distress due to new circumstances (P &lt; .01), more personal impact of how society responded to COVID-19 (P &lt; .01), anticipation of negative future consequences (P &lt; .01), and worse balance between family and work (P &lt; .01). The area under the curve for the cutoff point of Psychological Stress and Adaptation at work Score 40 was 0.82 (95% confidence interval, 0.79-0.91), with 70% sensitivity and 81% specificity. The positive predictive value was 72%, and the negative predictive value was 80%. Conclusion Psychological Stress and Adaptation at work Score is a rapid and accurate test for evaluating the psychological well-being of health care staff that can be used when crisis prevents the use of conventional stress diagnosis methods. Higher psychological impact was observed in nurses who worked in the intensive care unit and in the hospital ward.

Coupling and coordination of food security and agricultural carbon emission efficiency: Changing trends, influencing factors, and different government priority scenarios

Seeking a balance between food security and carbon mitigation is key to achieving sustainable agricultural development. This study evaluates the coupling coordination degree (CCD) between the food security index (FSI) and agricultural carbon emission efficiency (ACEE) in China from 2010 to 2021 using the coupled coordination model. By adjusting the model coefficients, different government priority scenarios are simulated to explore their impact on CCD. The Geodetector method is employed to identify the influencing factors of CCD, investigate their interactions, and assess the differences in these factors across various government priority settings. The average CCD between FSI and ACEE exhibits a notable upward trend, rising from 0.4583 in 2010 to 0.6595 in 2021. Furthermore, regional disparities are widening, particularly in the major production areas. Catch-up effects exist within regions. Policy simulations showed staged interactions between food security and agricultural carbon efficiency, shifting from food security to balanced production and ecology, then to prioritizing low-carbon production for food security. Adjusting policy priorities can effectively improve coupling coordination in the short term, with increasing impact as priority shifts. CCD is influenced by policy, technology, economy, and society, varying with policy priorities. In the baseline scenario, key factors for CCD include the urban-rural income gap, technological advancement, urbanization, and farmers' education level. When the government prioritizes food security, the impact of narrowing income gaps and agricultural industry agglomeration becomes more pronounced. Conversely, emphasizing carbon emission efficiency enhances the influence of technological advancements and urbanization on CCD. Tailoring agricultural production strategies to local conditions and emphasizing interactive effects among factors is crucial for achieving environmentally friendly and high-quality agricultural development goals.