Direct Effect Research Articles

Nanomechanical-ferroelastics behavior, and the low-temperature ferroelectric manifestation of BiMnO3 thin films

Ferroelastic-nanomechanical behavior of BiMnO3 thin films on (100) Nb-doped SrTiO3 substrate is studied at the nanoscale, for the first time using the theories of depth sensing indentation and finite element analysis. This was to understand the redirection of polarization in ferroelastic behavior using piezoelectric direct effect and applying a controlled local force by nanoindentation. The values of the nanomechanical properties Young’s modulus (E), hardness (H), and Stiffness (S) were measured to be E = 142 ± 3 GPa, H = 8 ± 0.2 GPa, and S = 44072 ± 45 N m−1 respectively. Using the experimental mechanical properties, a finite element analysis was carried out to understand the relationship between the irreversible work versus depth curve and plastic-deformation evolution of the thin film-interface-substrate system, associated with the pop-in observed. Von Mises stress maps are presented to clearly illustrate the deformations, mechanical failures, and influences between the BiMnO3 film and the SrTiO3 Substrate. The ferroelastic range for BiMnO3 material was observed between 0 to 12 nm, and the yield strength was Y = 2.6 ± 0.7 GPa. The ferroelectric properties through hysteresis curves were evaluated at two different temperatures of 200 K and 300 K in order to observe the effect of polarization with temperature. Providing better polarization performance at lower temperatures; P s = 9.14 ± 0.01 ( μ C cm–2), P r = 2.23 ± 0.02 ( μ C cm–2) and H c = 0.77 kV cm−1.

Human extreme heat protective behaviours: the effects of physical risks, psychological perception, and public measures

Individual actions can mitigate the consequences of extreme heat. Therefore, understanding the mechanism of protective behaviours against extreme heat is critical. Although extreme heat protective behaviours have been widely mentioned, the roles of psychological risk perception and public restraint are poorly understood. In this study, we developed a physical-measure-psychosocial model (PMP) to reveal the intrinsic motivation for protective behaviours during extreme heat based on a nationwide survey in China (n = 1791). The results showed that (1) high levels of physical risk perception promote outdoor, indoor, and traffic protective behaviours. Psychological risk perception is positively associated with outdoor and indoor protective behaviours but is not significantly associated with traffic protective behaviour. (2) There are differences in the main paths from heat exposure to outdoor, indoor, and traffic protective behaviours. The indirect effect controlled by physical risk is the main path from exposure to outdoor and traffic protective behaviours, while the direct effect of heat exposure is the strongest pathway for indoor protective behaviour. (3) Enhanced facility conditions are linked to reduced physical risk and psychological risk perception. Subsidies have a significant effect on traffic protective behaviour, and warnings significantly affect outdoor protective behaviour. The direct effect of warning systems on outdoor protective behaviour is greater than the indirect effect mediated by psychological risk perception. (4) Multigroup analysis based on structural equation models revealed a certain degree of robustness among the different gender, age, education level, and income level groups. This study enables us to understand the underlying mechanisms of extreme heat behaviours and support policy-makers in effective mitigation practices.

DHEA and response to antidepressant treatment: A Mendelian Randomization analysis

Treatment response is hard to predict and detailed mechanisms unknown. Lower levels of the dehydroepiandrosterone sulphate (DHEA(S)) – a precursor to testosterone and estrogen – have been associated to depression and to response to antidepressant treatment. Previous studies however may have been ridden by confounding and reverse causation. The aim of this study is to evaluate whether higher levels of DHEA(S) are causally linked to response to antidepressants using mendelian randomization (MR). We performed a Two-sample MR analysis using data the largest publicly available GWAS of DHEA(S) levels (n = 14,846) using eight common genetic variants associated to DHEA(S) (seven single nucleotide polymorphisms and one variant rs2497306) and the largest GWAS of antidepressant response (n = 5218) using various MR methods (IVW, MR Egger, Weighted mean, weighted mode, MR-PRESSO) and single SNP analysis. We further investigated for pleiotropy conducting a look up on PhenoScanner and GWAS Catalog. Results show no evidence for DHEA(S) gene risk score from any of MR methods, however, we found a significant association on individual variant analysis for rs11761538, rs17277546, and rs2497306. There was some evidence for heterogeneity and pleiotropy. This is the first paper to show some evidence for a causal association of genetically-predicted DHEA and improvement of depressive symptoms. The effect is not a simple linear effect, and we were unable to dissect whether the effect was direct effect of DHEA(S), mediated by DHEA(S) or on the pathway is not yet clear. Further studies using more refined instrumental variables will help clarify this association.

Longitudinal examination of alcohol use motives, item-level protective behavioral strategies, and alcohol-related consequences.

Alcohol misuse among college students is a public health concern. Protective behavioral strategies (PBS) can be used before, during, after, or instead of drinking to reduce alcohol use and negative consequences, but findings on their utility at the aggregate level are mixed. Although recent work has provided important information on the performance of individual PBS items, it is limited by research designs that are cross-sectional, do not examine consequences, or do not examine other important correlates, such as drinking motives. This study examines both the association between item-level PBS and alcohol-related negative consequences and the moderating effect of drinking motives longitudinally. College students from two universities (n = 200, 62.5% female, Mage = 20.16) completed the Drinking Motives Questionnaire-Revised, Protective Behavioral Strategies Survey, the Rutgers Alcohol Problem Index, and a measure of the quantity of alcohol use at baseline and 3-month follow-up. Generalized linear models were conducted to assess direct effects of item-level PBS on alcohol-related consequences and the moderating effects of drinking motives. Two PBS items were associated with fewer alcohol-related consequences at follow-up, and two items were associated with greater alcohol-related consequences at follow-up. Drinking motives differentially moderated associations between item-level PBS and alcohol-related consequences for a proportion in the sample. Enhancement motives moderated the greatest number of associations, followed by coping, conformity, and social motives. Certain PBS (e.g., drink slowly, rather than gulp or chug) were moderated by several drinking motives, whereas other PBS items were not moderated by any motives. Consistent with previous research, some item-level PBS were associated longitudinally with increased negative consequences, and some were associated with decreased negative consequences. Drinking motives, particularly enhancement, moderated several item-level PBS and consequence associations, suggesting that reasons for drinking may be important for understanding the associations between PBS strategies and alcohol-related consequences.

New approach to soil fertility management: Biogeosystem Technique methodology (critical review)

AbstractA standard management soil priming effect is short term. A current soil plowing, irrigation and waste utilization soil priming action shortcomings elimination is needed. The Biogeosystem Technique (BGT*) priming action system was developed for soil management to provide a higher‐level priming effect. The BGT* is focused on a soil biogeochemical cycle activation similar to the biodegradation in a colon of a live organism as an efficient benchmark bioreactor. Fluorescence in situ hybridization showed a cooperation of bacteria within polymicrobial biofilms and a probability of the polymicrobial biofilms biodegradation process acceleration and soil organic matter (SOM) regime improvement. The soil priming actions the BGT* technological management is capable of providing are based on the BGT* constituents, whose essence, applications and corresponding detailed data are presented in available studies. The main BGT* components are as follows. The illuvial horizon intra‐soil milling artificial soil aggregation (a form of crumbling and mixing) priming action provides the soil structuring, a SOM content increase and an annual yield increment direct priming effects. A long‐term secondary priming effect is a technology life cycle with higher profitability compared to the standard moldboard, chiseling and three‐tier plowing. The intra‐soil pulse sequential‐discrete watering priming action is performed through water injection into the soil in sequence. A next water spreading provides the soil aggregate stability, the seedling length and weight increment direct priming effect and a water‐saving secondary priming effect. The intra‐soil dispersed liquid, paste‐like and loose granular nutrition and structuring matter intra‐soil milling application priming action ensures soil structuring direct priming effects, heavy metals passivation and long‐term yield increment secondary priming effects. The BGT* methodology could be useful for soil management improvement.

The role of adhesion molecules in osteocalcin-induced effects on glucose and lipid metabolism in adipocytes

Recent findings suggest that uncarboxylated osteocalcin (GluOC) promotes glucose and lipid metabolism via its putative receptor GPRC6A; however, its direct effect on adipocytes remains elusive. In this study, we elucidated the effects of GluOC on adipocytes, with an emphasis on the role of cell adhesion molecules. We determined that GluOC promoted the expression of adipocyte adhesion molecule (ACAM) and its transcription factor Krüppel-like factor 4 and enhanced the cortical actin filament assembly, which ameliorated lipid droplet hypertrophy. Additionally, GluOC upregulated the expression of integrin αVβ3 and activation of focal adhesion kinase (FAK) and prevented insulin receptor substrate 1 (IRS1) degradation by inhibiting the ubiquitin–proteasome system via the FAK–PLC–PKC axis, which activated IRS1–Akt-mediated glucose transporter 4 (GLUT4) transport. Furthermore, we showed that GluOC elevated the expression of the insulin-independent glucose transporters GLUT1 and GLUT8, which facilitated insulin stimulation-independent glucose transport. The GluOC-induced activation of integrin αVβ3 signaling promoted microtubule assembly, which improved glucose and lipid metabolism via its involvement in intracellular vesicular transport. GluOC treatment also suppressed collagen type 1 formation, which might prevent adipose tissue fibrosis in obese individuals. Overall, our results imply that GluOC promotes glucose and lipid metabolism via ACAM, integrin αVβ3, and GLUT1 and 8 expression, directly affecting adipocytes.

An analysis of the role of college students' core self-evaluation in the relationship between extracurricular physical exercise and academic stress.

To explore the role of college students' core self-evaluation in the association between extracurricular physical exercise and academic stress, and to provide a reference and basis for effectively alleviating current college students' academic stress. A stratified cluster random sampling method was used to conduct an online survey using the China College Student Mental Health Screening Scale, the Core Self-Esteem Scale, and a self-developed questionnaire for 1,249 college students from 8 junior colleges in Jiangsu Province, China, in January 2023, and analyses were conducted using bivariate correlation and mediation effect tests. More than half of the students were worried about lagging behind other students in their studies and worrying about exams, as well as more than half of the students had <2 h of extracurricular physical exercise per week in terms of academic stress. Significant correlations were found between extracurricular physical exercise time and core self-evaluation (r = 0.225, p < 0.01), academic stress (r = -0.317, p < 0.01), and between core self-evaluation and academic stress (r =-0.371, p < 0.01). Extracurricular physical exercise had a negative predictive effect on academic stress (effect = -0.306, 95%CI: -0.361~-0.251) and partially through the mediating path of core self-evaluation, (effect = -0.067, 95%CI: -0.091~-0.046), with a mediating effect of 21.9%. Among them, the mediating effect of core self-evaluation was highest in "worrying about lagging behind other students in their studies" and "worrying about exams", which accounted for 24.4% and 24.3% respectively. Currently, college students have different degrees of academic stress; extracurricular physical exercise can reduce academic stress through direct effects, and also through the indirect effect of improving the level of core self-evaluation, and active extracurricular physical exercise has become an important way to promote students' physical and mental health.

The Impact of Forestry Industry Integration on the Forest Farmers' Income in China: A Theoretical and Empirical Study

Transforming the forestry development model and promoting the integrated development of the forestry industry has become an important way for forestry to break through development bottlenecks and achieve efficiency enhancement, prosperity of forest areas, and income increase for forest farmers. In this study, we have theoretically elaborated on the mechanism by which the integrated development of the forestry industry affects the income level of forest farmers. In terms of empirical research, we use the inter provincial panel data from 2005 to 2019 to empirically test the individual heterogeneity, regional heterogeneity, and spatial spillover effects of forestry industry integration on forest farmer income with the help of fixed effect model, quantile regression model and spatial panel model. Results showed that, firstly, the level of integration in the forestry industry is on the rise, with most provinces in the middle or high integration stage. Among them, the Northeast region has the highest level of integration. Secondly, there is a positive spatial correlation in the income of Chinese forest farmers, and the spatial correlation is gradually increasing. The income of forest farmers in coastal provinces is relatively high, as indicated by the presence of HH clusters. Thirdly, the integration of the forestry industry has significantly improved the income level of forest farmers, and there are group heterogeneity and regional differences. The heterogeneity of income is reflected in the increasing income effect of forestry industry integration, which continuously strengthens with the improvement of the income level of forest farmers. Regional heterogeneity is mainly manifested in the Northeastern, Eastern, and Central regions. The integration of forestry industries can significantly promote the growth of forest farmers’ income, while in the Western regions, the income increase effect of forestry industry integration has an inhibitory effect, but is not significant. Finally, the integration of the forestry industry has significant spatial spillover effect and the indirect effect is greater than the direct effect. However, the spillover effect coefficient is 0.007, which is still at a relatively low level, and the diffusion effect generated by factor flow still needs to be strengthened. Efforts to boost integrated forestry industry development will broaden the income channels of forest farmers by leveraging high productivity of the agglomeration effects, diffusion effect and demonstration effect, strengthening regional communication and cooperation, and promoting integrated forestry industry development with adjacent regions. This study helps to correctly grasp the relationship between forestry industry integration and farmers’ income, and provides decision-making reference for local governments to formulate policies for increasing farmers’ income in the development of forestry industry integration based on actual situations.

Young Mothers and Dating Violence: An Examination of Depressive Symptomatology and Interpersonal Competency

Abstract Purpose Young mothers are an understudied group at high risk for dating violence (DV) victimization and perpetration. Prior research has investigated depressive symptomatology as a predictor of DV in female adolescents and young women; however, minimal research focuses on young mothers, and the specific mechanisms influencing the relationship between depressive symptomatology and DV for young mothers remain elusive. Interpersonal competency is one potential mechanism given its role in creating healthy foundations for romantic relationships. The present study examined interpersonal competency as a potential mechanism linking depressive symptomatology and DV victimization and perpetration in a sample of young mothers. We hypothesized young mothers with elevated depressive symptomatology would report higher rates of DV victimization and perpetration, and that these associations would be mediated by interpersonal competence. Methods Young mothers ages 18–21 in the United States (n = 238) completed questionnaires pertaining to our primary variables of interest via an online, cross-sectional survey. We conducted a mediation analysis to examine the average causal mediation and average direct effects. Results DV experiences were related to depressive symptomatology and interpersonal competency. Interpersonal competency was not a mediator; however, direct effects were present between depressive symptomatology and DV victimization and perpetration. Conclusions Our results suggest that prevention interventions should target depressive symptomatology (i.e., hopelessness, feeling easily bothered, social isolation) and interpersonal competency (i.e., initiation, disclosure, emotional support) to reduce young mothers’ DV experiences.

Clinical internship environment and caring behaviours among nursing students: A moderated mediation model.

Caring behaviour is critical for nursing quality, and the clinical internship environment is a crucial setting for preparing nursing students for caring behaviours. Evidence about how to develop nursing students' caring behaviour in the clinical environment is still emerging. However, the mechanism between the clinical internship environment and caring behaviour remains unclear, especially the mediating role of moral sensitivity and the moderating effect of self-efficacy. This study aimed to examine the mediating effect of moral sensitivity and the moderating function of self-efficacy on the association between the clinical internship environment and caring behaviours. A cross-sectional design used acceptable validity scales. The hypothesised moderated mediation model was tested in the SPSS PROCESS macro. This survey collected data from 504 nursing students in an internship at a teaching hospital in Changsha, China. This study was pre-approved by the ethics committee of the medical school (No. E2022210). Informed consent was obtained from all students. The clinical internship environment (B = 0.450, 95% CI = [0.371, 0.530]) and moral sensitivity (B = 1.352, 95% CI = [1.090, 1.615]) had positive direct effects on nursing students' caring behaviours. Clinical internship environment also indirectly influenced students' caring behaviours via moral sensitivity (B = 0.161, 95% CI = [0.115, 0.206]). In addition, self-efficacy played a moderating role between the clinical internship environment and caring behaviours (B = 0.019, 95% CI = [0.007, 0.031]), as well as the relationship between the clinical internship environment and moral sensitivity (B = 0.006, 95% CI = [0.003, 0.010]). Moral sensitivity mediates the effect of the clinical internship environment on caring behaviour, and self-efficacy strengthens both direct and indirect effects. This study emphasises the importance of self-efficacy in developing moral sensitivity and caring behaviours in nursing students.

Path analysis of influencing factors for maternal antenatal depression in the third trimester.

Maternal antenatal depression (AD) is a nonpsychotic depressive episode during pregnancy that can harm both the pregnant woman and the fetus. This study aimed to investigate the intrinsic interrelationships between AD and its influencing factors by constructing a path model. This survey-based cross-sectional study included 1071 pregnant women who underwent pregnancy examinations in three hospitals in Nantong City, China, between February and June 2023. General information and information regarding maternal AD, pregnancy stress, prenatal anxiety, social support, marital satisfaction, sleep quality, and resilience were collected. Multiple linear regression analysis using SPSS 25.0 was employed to determine the factors influencing pregnancy depression, and Amos25.0 was used to construct a structural equation model. AD incidence was 19.4% (208/1071). The independent risk factors affecting AD in pregnant women have been integrated into the established path analysis model. The model demonstrated a good fit (χ2/DF = 1.238, comparative fit index = 0.999, goodness-of-fit index = 0.998, normed fit index = 0.996, adjusted goodness-of-fit index = 0.990, incremental fit index = 0.999, and root mean square error of approximation = 0.015). While prenatal anxiety (0.230) and hyperthyroidism (0.048) only had direct effects on AD, mental resilience was the biggest factor affecting AD, followed by pregnancy stress, marital satisfaction, prenatal anxiety, sleep quality, social support, and hyperthyroidism. Improved mental resilience, social support, sleep quality, and marital satisfaction; reduced pregnancy stress and prenatal anxiety; and effective hyperthyroidism treatment might reduce AD. This study underscored the significance of delivering actionable strategies and tangible assistance to pregnant women to reduce AD.

Meeting the Health and Social Needs of America's Unhoused and Housing-Unstable Populations: A Position Paper From the American College of Physicians.

Access to safe and stable housing has both a direct and indirect effect on health. Experiencing homelessness and housing instability can induce stress and trauma, worsening behavioral health and substance use. The absence of safe and stable living conditions can make it challenging to rest, recuperate, and recover from health ailments and can pose barriers to treatment adherence. Homelessness and housing instability is associated with high rates of numerous diseases and chronic conditions. Its cyclical relationship with other social drivers of health can exacerbate health disparities. As a result, unhoused persons experience unique health challenges and require a health care system and professionals designed to meet their distinct needs. Physicians and other health professionals have a role in educating themselves about the needs of unhoused patients as well as making themselves aware of community and government resources available to these populations. Policymakers must support health professionals in these efforts by supporting the data infrastructure needed to facilitate these referrals to resources, supporting research into best practices for caring for these populations, and investing in community-based organization capacity. Policy action is needed to address the underlying drivers of homelessness, including a dearth of affordable housing, while also addressing the short-term need for safe shelter now. In this position paper, the American College of Physicians (ACP) recognizes the need to address universal access to housing to fulfill one's right to health. ACP offers several recommendations to prevent homelessness and promote the necessary health care and social needs of unhoused populations.

Assessing the relationship between L1 knowledge and fluid intelligence in second language acquisition: the case of immigrant students in Catalonia

ABSTRACT The linguistic interdependence hypothesis posits the existence of language features common to different languages. This set of characteristics, known as Common Underlying Proficiency (CUP), is a powerful facilitating agent in second language acquisition. Fluid intelligence (Gf), on the other hand, is the construct that encompasses those cognitive resources devoted to general learning, and its involvement in second language acquisition is unproven. The aim of this study is to determine the direct and interactive effect of L1 knowledge and Gf on second language acquisition in language immersion learners across different linguistic domains. The study analyzed the proficiency of 131 Romanian students in Spanish and Catalan, the official languages of Catalonia. Mixed-effects regression models were used to analyze lexical, morphosyntactic, and orthographic aspects. The results were obtained using mixed-effects regression models, revealing a particularly noticeable interdependence effect in lexical, morphosyntactic, and orthographic aspects, with differences between Catalan and Spanish. Furthermore, Gf had an impact on the morphosyntactic component with similar intensity for both languages but did not moderate the interdependence effect. The study discusses the possible causes of these effects, as well as their psycho-pedagogical consequences.

Marginal effects for non-linear prediction functions

AbstractBeta coefficients for linear regression models represent the ideal form of an interpretable feature effect. However, for non-linear models such as generalized linear models, the estimated coefficients cannot be interpreted as a direct feature effect on the predicted outcome. Hence, marginal effects are typically used as approximations for feature effects, either as derivatives of the prediction function or forward differences in prediction due to changes in feature values. While marginal effects are commonly used in many scientific fields, they have not yet been adopted as a general model-agnostic interpretation method for machine learning models. This may stem from the ambiguity surrounding marginal effects and their inability to deal with the non-linearities found in black box models. We introduce a unified definition of forward marginal effects (FMEs) that includes univariate and multivariate, as well as continuous, categorical, and mixed-type features. To account for the non-linearity of prediction functions, we introduce a non-linearity measure for FMEs. Furthermore, we argue against summarizing feature effects of a non-linear prediction function in a single metric such as the average marginal effect. Instead, we propose to average homogeneous FMEs within population subgroups, which serve as conditional feature effect estimates.

Study on Correlation and Path Analysis in Forage Sorghum [Sorghum bicolor (L.) Moench

This investigation is conducted to determine character association and path coefficient analysis using 35 genotypes of forage sorghum at the Crop Research Centre of the Sardar Vallabhbhai Patel University of Agriculture and Technology in Meerut. In Kharif 2022, testing of all 35 genotypes of forage sorghum was conducted using a randomized block design with three replications. Observations were recorded for days to 50% flowering, plant height (cm), leaf breadth (cm), leaf length (cm), number of leaves per plant, total soluble solids (%), leaf area (cm2), stem girth (mm), leaf stem ratio and green fodder yield per plant (g). Correlation coefficient studies indicated that green fodder yield per plant was found highly significant positive association with leaf breadth, stem girth, leaf area, leaf length, number of leaves per plant, plant height and leaf stem ratio at both genotypic and phenotypic level, indicated that selection of these attributes may be helpful to increase fodder yield in sorghum. The results of genotypic and phenotypic path analysis indicated that stem girth had a strong positive direct effect on green fodder yield per plant, followed by leaf breadth and number of leaves per plant at both genotypic and phenotypic levels. Improving these attributes can increase fodder yield. The character showing indirect effect like Leaf breadth, leaf length, leaf area, and leaf stem ratio via another component trait, indirect selection through such trait can lead to improvement in green fodder yield.

A four-year longitudinal analysis examining the effects of e-cigarette advertisements and disparities among youth with internalizing problems

BackgroundPrior research indicates a direct, short-term effect of e-cigarette advertising on e-cigarette use among youth. This study seeks to investigate the long-term effects of e-cigarette advertisements and disparities in exposure among adolescents with different levels of internalizing problems. MethodsPanel data of the Population Assessment of Tobacco and Health (PATH) Study Waves 3–5 (2015–2019) were analyzed. Youth aged 12–17 who were non-e-cigarette users at the time of Wave 3 were included (n = 4,678). A moderated mediation model was employed to examine the mediating role of perceived harm of e-cigarettes and the moderating effect of internalizing problems. ResultsExposure to e-cigarette advertisements in Wave 3 predicted lower harm perception of e-cigarette in Wave 4 (bp = -0.055, p <.01), leading to more e-cigarette use in Wave 5 (bp = -0.042, p <.001). While e-cigarette advertisements exhibited a lasting indirect effect (bp = 0.002, p <.05), there was no long-term direct effect (bp = 0.017, p >.05) on youth e-cigarette use. Furthermore, a moderating effect of internalizing problems was observed (bp = 0.107, p <.05). ConclusionsE-cigarette advertisements can exert a lasting influence indirectly by diminishing harm perception, particularly among those with lower internalizing problems. Adolescents with higher internalizing problems exhibit lower susceptibility to advertisement influence, yet their perceived harm of e-cigarettes is notably lower than their peers with fewer internalizing problems. These disparities underscore the need for tailored prevention strategies: implementing anti-e-cigarette education programs for adolescents with low internalizing problems and providing mental health care for those facing internalizing challenges. Regulatory measures targeting e-cigarette advertising are also crucial.

Agroforestry system construction in eastern coastal China: Insights from soil–plant interactions

AbstractAgroforestry, as a phytoremediation measure, shows great potential for mitigating land degradation by constructing multidimensional and efficient agroforestry composite systems through regulating the microenvironment of agroforestry sites and improving soil properties. However, the effects of different agroforestry composite management modes on saline soils and the interactions between soil–plant systems under salt stress conditions in coastal areas remain largely unexplored. In this study, two salt‐tolerant tree species (Sapium sebiferum (Linn.) Roxb and Zelkova serrata (Thunb.) Makino) and four crop species (Medicago sativa, Sesbania cannabina, Sorghum bicolour, and Avena sativa) were selected for intercropping in eight composite patterns via field experiments, with dynamics of soil physicochemical properties and crop photosynthesis observed. The results showed that treatments intercropped with M. sativa had the highest soil bulk density range (1.41–1.48 g cm−3). The dynamics of topsoil (0–10 cm) chemical properties showed similar change patterns among treatments, whereas those of the 10–40 cm soil chemical properties (especially soil pH, soil organic matter [SOM], and total nitrogen [TN]) showed heterogeneity. Moreover, planting S. sebiferum (L.) Roxb under the same crop conditions increased tree height growth rate and survival rate by 75%–114% and 14%–33%, respectively, relative to planting Z. serrata (T.) Makino. Furthermore, a significant negative correlation was observed between soil moisture with crop intercellular CO2 concentration (λ = −0.77), while significant positive correlations were found between crop net photosynthetic rate (Pn) with soil TN (λ = 0.71), as well as SOM with atmospheric CO2 content (λ = 0.72). Structural equation modeling showed significant direct effects between tree height growth rate with soil TN and SOM. Soil moisture (λ = 0.47) and tree height growth rate (λ = 0.53) were dominant drivers of crop Pn. Our findings provide useful information for the prevention of coastal saline soil degradation and sustainable development of agroforestry.

Engineering Students' Acceptance of Augmented Reality Technology Integrated with E-Worksheet in The Laboratory Learning

The use of augmented reality (AR) technology in the field of education has emerged as a rapidly growing trend. However, there is an urgent need for more comprehensive research to determine the reactions of engineering students and their acceptance of this technology in laboratory learning. This study investigates the acceptance of integrated augmented reality with e-worksheet (IARE-W) among engineering students in the laboratory learning (IARE-W) among engineering students the electrical machines course (EMC). This research empirically uncovers the factors that influence it based on the technology acceptance model (TAM), specifically perceived ease of use (PEU) and perceived usefulness (PU). Acceptance is indicated by students’ attitudes toward the use. A survey-based quantitative research study using questionnaires was conducted to collect data, involving 102 students in the field of industrial electrical engineering. The partial least squares structural equation modeling (PLS-SEM) analysis was used to analyze the research data. The results demonstrated that engineering students had a highly positive attitude toward the use of the IARE-W in the EMC. Additionally, both PEU and PU had a positive and significant direct effect on engineering students’ attitudes toward using IARE-W. Furthermore, PEU also had a significant and positive indirect effect through PU as a mediating variable. These findings have significant implications for the development of engineering education and the integration of AR technology in laboratory learning contexts. The results of this study underscore the importance of taking into account PEU and PU in the design, development, and implementation of the IARE-W.

Built or Social environment? Effects of perceptions of neighborhood green spaces on resilience of residents to heat waves

Large cities in North China are at an increasing risk of heat waves. Several previous studies have emphasized the significance of heat wave resilience but they generally failed to sufficiently consider the social level and to explore the mechanisms involved. In the present study, we investigated heat wave resilience as a full-cycle process and elucidated the related factors at the level of environmental perception. We selected 60 neighborhoods that are vulnerable to high temperatures in the central urban area of Tianjin. Using a questionnaire (N = 734), we evaluated the residents' perceptions in terms of the built-environmental perception (BEP) and socio-environmental perception (SEP) of neighborhood green spaces, as well as assessing the resilience levels of residents in the three phases comprising heat wave preparation, resistance, and recovery. Structural equation models were constructed to identify the mechanisms that influenced resilience in each phase. The results demonstrated a significant and direct effect of SEP on heat wave preparation and on the resistance phase. In addition, both BEP and SEP were critical for the recovery of residents. Using multi-group analysis, we identified differences in the mechanisms that allowed residents to acquire heat wave resilience. Based on these findings, we suggest that green space planning and policies should focus on optimizing the built environment, but also on the roles of residents' social support networks because they are crucial for guaranteeing the sustainability of vulnerable groups and helping communities to cope with heat waves.

Carbon sinks/sources' spatiotemporal heterogeneity and their spatial response to economic-social factors in relatively developed regions: A case of China's coastal area

With the global climate change, carbon reduction in economically active regions has gradually become a focus of attention and its underlying drivers were essential for understanding alterations in ecosystems in response to human behavior. However, the exploration of Carbon Sinks/Sources Patterns (CSSP) in an Economic-Social context was lacking. Distinguished from traditional Net Ecosystem Productivity (NEP) estimation methods, we optimized model parameters, adjusted estimation logic, and revealed CSSP more reasonably. Moreover, spatial econometric model was used to reveal the spatial effects mechanism of Economic-Social Development on CSSP. Over the past 20 years, we revealed that: (a) The pattern of NEP exhibited distinct spatial heterogeneity, with higher sinks observed in the north and offshore regions. It demonstrated regular cyclic fluctuations, averaging a 3-4-year cycle, featuring a gradual ascent followed by a rapid descent; (b) The Carbon Sequestration Capacity (CSC) of vegetation significantly increased. Based on the carbon sink properties, the study area was distinctly divided into three clusters; (c) CSSP have been profoundly affected by economic-social factors. Economic growth and industrial structure optimization contributed to the enhancement of CSC, but population aggregation and urban expansion had negative impacts. The direct effect of innovation capacity and the spatial spillover effect of industrial structure optimization were negative. Overall, exploring CSSP against the backdrop of economic-social factors not only provides a new perspective for understanding the regularities of change and the underlying mechanisms driven by human factors but also offers valuable insights for achieving sustainable development and green growth in other coastal regions globally.