Exploring the recycled water acceptance based on the technological perspective of UTAUT2: a hybrid analytical approach.

Introduction: The development of advanced sewage technologies empowers the industry to produce high-quality recycled water, which greatly influences human's life and health. Thus, this study investigates the mechanism of individuals' adoption of recycled water from the technology adoption perspective. Methods: Employing the mixed method of structural equation modeling and artificial neural network analysis, we examined a research model developed from the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) framework. To examine the research model, this study employs a leading web-survey company (Sojump) to collect 308 valid samples from the residents in mainland China. Results: The structural equation modeling results verified the associations between the six predictors (performance expectancy, effort expectancy, social influence, facilitating conditions, environmental motivation, and price value), individuals' cognitive and emotional attitudes, and acceptance intention. The artificial neural network analysis validates and complements the structural equation modeling results by unveiling the importance rank of the significant determinants of the acceptance decisions. Discussion: The study provides theoretical implications for recycled water research and useful insights for practitioners and policymakers to reduce the environmental hazards of water scarcity.

Motivational drivers and Sense of Belonging: unpacking the persistence in Chinese Martial Arts practice among international practitioners.

Background: Chinese Martial Arts (CMAs) have garnered a global following, with their rich historical and cultural heritage transcending geographical and cultural differences, sparking profound interest among an international community. As an increasing number of non-Chinese individuals persist in practicing CMAs, investigating the motivations behind their continued participation has emerged as a compelling question. This study aims to delve deeper into the factors driving international practitioners to sustain their practice of CMAs, thereby broadening our understanding of the global resonance of CMAs. Methods: Employing Self-Determination Theory, 226 international CMAs practitioners completed the Physical Activity and Leisure Motivation Scale, Perceived Belonging Scale, and Persistence in Practicing CMAs Scale. SPSS 20.0 was utilized for conducting descriptive statistics, common method bias tests, and correlation analyses. Structural equation modeling was performed using AMOS 26.0. Results: Motivation for Practicing CMAs, comprised of enjoyment, mastery, physical condition, psychological condition, and appearance, has a positive impact on Persistence in Practicing CMAs (ß = 0.297, p < 0.01). Sense of Belonging also positively affects Persistence in Practicing CMAs (ß = 0.268, p < 0.01). The aforementioned variables account for 22.1% of the variance in Persistence in Practicing CMAs. Furthermore, Affiliation, Competition/Ego, and Others' Expectations were found to have no significant correlation with Persistence in Practicing CMAs. Conclusion: The formation of persistence in the practice of CMAs among international practitioners is propelled by their ongoing desire for skill mastery, enjoyment, enhanced physical and mental health, body shape improvement, and a Sense of Belonging. The study reveals that a stronger motivation and Sense of Belonging significantly enhance their commitment to CMAs. Recommendations include that international instructors should center their teaching strategies around the practitioners, helping them to find joy in their practice, achieve skill mastery, and foster the development of physical, mental, and aesthetic qualities, alongside virtues and etiquette. Additionally, building a supportive CMAs community and cultivating a sense of ritual are essential. Such strategies are intended to reinforce practitioners' self-affirmation and group identity, thus boosting their Sense of Belonging and encouraging their continued engagement in CMAs.

Day-to-day associations between mindfulness and perceived stress: insights from random intercept cross-lagged panel modeling.

Objective: Mindfulness is frequently seen as a protective factor of stress, but self-report measures of mindfulness may overlap with other related constructs, such as mental health, and could thus not only be a predictor, but also an outcome of stress. This study thus aimed to examine the longitudinal bidirectional associations between the use and perceived helpfulness of the four mindfulness facets Observe, Describe, Nonjudge, and Nonreact with daily perceived stress. Methods: Participants from a large (N = 1,276) mixed student and community group sample filled out a brief daily diary over the time span of 7 days. Bidirectional cross-lagged effects were investigated using the random-intercept cross-lagged panel model, an extension of the traditional cross-lagged panel model that allows to differentiate between stable between-unit differences and time-varying within-unit dynamics. In addition, we controlled for several baseline and sociodemographic confounders. Results: At the within-subject level, the use of Actaware was associated with higher perceived stress on the next day (ß = 0.03, p = 0.029). The use (ß = -0.04, p = 0.025) and perceived helpfulness (ß = -0.05, p = 0.014) of Nonreact were associated with lower perceived stress on the next day. In turn, perceived stress was associated with lower perceived helpfulness of Describe (ß = -0.04, p = 0.037) and Nonreact (ß = -0.03, p = 0.038) on the next day. In addition, there were several residual correlations between mindfulness facets and perceived stress within days. At the between-subject level, there was a positive association between the random intercept of Describe and daily stress (r = 0.15, p = 0.003). In addition, while baseline perceived stress was negatively associated with the random intercepts of the mindfulness facets, two baseline components of mindfulness were not associated with the random intercept of perceived stress. Conclusion: On the currently investigated time scale, our results challenge prior results and assumptions regarding mindfulness as a buffering and protective factor against daily stress. With the exception of Nonreact, mindfulness was either positively associated with perceived stress, or in turn perceived stress appeared to interfere with the ability to stay mindful in daily life.

Exploring influential factors in the self-assessment of life satisfaction among Chinese elderly: a structural equation modeling analysis.

The aging problem is becoming more and more prominent globally. Attention to the quality of life and related health improvement among the elderly has become an important issue in modern society. This study utilized a tracking survey conducted in 2017-2018, involving 9,327 Chinese older adults, to examine health influencing factors, and applied structural equation modeling to analyze the influencing factors on the self-assessment of life satisfaction among older adults in different regions (cities, counties, and villages) in China. This study revealed that economic status, psychological status, personal situation, life behaviors, and child care are important influences on older people's self- assessed life satisfaction. There is a positive correlation between economic status, psychological status, child care and the results of the self-assessment of life satisfaction of the elderly. Psychological status and child care have a greater impact on the self-assessment of life satisfaction among the elderly in urban areas compared to villages and towns. The influence of economic status on the self-assessment of life satisfaction of the elderly is lower in urban areas than in rural areas. There is a significant difference in the influence of personal situations on the self-assessment of life satisfaction among the elderly. Additionally, older individuals tend to report higher levels of self-assessment of life satisfaction. Furthermore, female elderly individuals tend to report higher levels of satisfaction compared to males. Findings from this study indicate that improving health self-assessment in older adults requires targeted efforts based on different geographic areas of life and the age stages of older adults, and more attention needs to be paid to men who are just entering old age.

The Role of Place Attachment in the Relationship between Attitudes toward Aging and Subjective Well-Being among Community-Dwelling Older Adults in Taiwan.

Subjective well-being presents a societal challenge for vulnerable older adults. This study aims to investigate the mediating role of place attachment in the relationship between attitudes toward aging and subjective well-being among community-dwelling older adults in Taiwan. Two waves of investigations were conducted to examine the interplay between attitudes toward aging, subjective well-being, and place attachment among older adults. In Wave I, 1190 participants were enrolled, revealing predominantly younger cohorts with substantial educational levels. The subsequent Wave II involved 483 participants, maintaining continuity in characteristics. Subjective well-being remained moderate across waves, with prevalent positive attitudes toward aging. Place attachment scores indicated moderate to high associations. After controlling for demographics, structural equation modeling (SEM) in both waves revealed significant positive associations: attitudes toward aging influenced well-being, attitudes toward aging were positively associated with place attachment, and place attachment was positively related to well-being. Mediation testing confirmed the mediating role of place attachment in the relationship between attitudes toward aging and well-being. These findings underscore the important role of place attachment. It is evident that improving attitudes toward aging is an effective intervention which can lead to a better sense of well-being by enhancing place attachment to empower civil society.

Factors influencing perseverance in teaching Chinese martial arts abroad: a self-determination theory perspective among international instructors.

Background: The global dissemination of Chinese martial arts (CMAs), transcends mere physical activity; it represents a cultural and philosophical journey that contributes to enhanced psychological well-being. Capturing international attention, CMAs have engendered a network of global instructors committed to their cross-cultural teaching. However, the narrative of CMAs across the globe is incomplete without understanding the psychological factors that fuel the perseverance of these international instructors. Their relentless commitment, motivated by factors beyond the cultural and geographical barriers, poses a unique question: What motivates these instructors to persist in teaching CMAs in the face of such challenges? The study aims to uncover the key motivational mechanisms that influence the perseverance of international CMAs instructors in their teaching endeavors. Methods: Employing Self-Determination Theory, 147 international CMAs instructors completed the Motivation for Teaching CMAs Scale, Perceived Belonging Scale, and Perseverance in Teaching CMAs Scale. SPSS 20.0 was utilized for conducting descriptive statistics, common method bias tests, and correlation analyses. Structural equation modeling was performed using AMOS 26.0. Results: Autonomous Motivation positively affected perseverance in teaching CMAs (ß = 0.369, b = 0.465, t = 4.232, p < 0.001). In contrast, Amotivation negatively affected perseverance (ß = -0.323, b = -0.382, t = -3.561, p < 0.001). Neither Controlled Motivation nor Sense of Belonging significantly affected perseverance. The model explained 27.9% of the variance in perseverance, offering insights into the motivational mechanisms influencing international CMAs instructors. Conclusion: This study concludes that the perseverance of international instructors in teaching CMAs is primarily driven by overcoming amotivation and fostering autonomous motivation, rather than short-term internal or external incentives, which appear ineffective. Additionally, sense of belonging to their CMA school does not significantly influence their perseverance, potentially due to the diverse cultural backgrounds of the instructors surveyed. The findings suggest that by enhancing the recognition and acceptance of CMAs' core philosophies and values, aligning teaching practices with personal and cultural values, and fostering a profound passion for CMAs, international instructors could boost their autonomous motivation, which is crucial for their sustained commitment in promoting CMAs globally.

Dynamics of the soil microbial community associated with Morchella cultivation: diversity, assembly mechanism and yield prediction.

Introduction: The artificial cultivation of morels has been a global research focus owing to production variability. Understanding the microbial ecology in cultivated soil is essential to increase morel yield and alleviate pathogen harm. Methods: A total of nine Morchella cultivation experiments in four soil field types, forest, paddy, greenhouse, and orchard in Shanghai city were performed to determine the potential ecological relationship between Morchella growth and soil microbial ecology. Results: Generally, significant variation was observed in the soil microbial diversity and composition between the different experimental field types. The niche width analysis indicated that the bacterial habitat niche breadth was significantly greater than the fungal community width, which was further confirmed by a null model that revealed that homogeneous selection could explain 46.26 and 53.64% of the variance in the bacterial and fungal assemblies, respectively. Moreover, the neutral community model revealed that stochastic processes dominate the bacterial community in forests and paddies and both the bacterial and fungal communities in orchard crops, whereas deterministic processes mostly govern the fungal community in forests and paddies and both the bacterial and the fungal communities in greenhouses. Furthermore, co-occurrence patterns were constructed, and the results demonstrated that the dynamics of the soil microbial community are related to fluctuations in soil physicochemical characteristics, especially soil potassium. Importantly, structural equation modeling further demonstrated that the experimental soil type significantly affects the potassium content of the soil, which can directly or indirectly promote Morchella yield by inhibiting soil fungal richness. Discussion: This was the first study to predict morel yield through soil potassium fertilizer and soil fungal community richness, which provides new insights into deciphering the importance of microbial ecology in morel agroecosystems.

Competence, preparation, and relaxation: Contributing factors to EFL student teachers' self-efficacy and teaching performance in microteaching training.

Microteaching is called "micro" teaching because it involves teaching a short lesson to a small group of people in a simulated classroom setting, with the goal of improving specific teaching skills or behaviors. Microteaching training represents a significant approach for enhancing the teaching competencies of student teachers. However, there is a scarcity of studies that examine the factors contributing to the self-efficacy and teaching performance of student teachers, both of which are central concerns in microteaching training programs. This study addresses this gap by synthesizing five contributing factors from existing literature, collecting survey responses from 272 English-as-a-foreign-language (EFL) student teachers, and employing structural equation modeling (SEM) to analyze the relationships between these factors. The four hypotheses that were rejected yielded unexpected results, indicating negative relationships between participants' teaching experience and EFL speaking competence with their lesson-delivery competence, as well as a negative relationship between lesson-delivery competence and self-efficacy. Interestingly, public speaking anxiety was found to have no statistically significant impact on EFL student teachers' self-efficacy. This study establishes a theoretical framework that can assist decision-makers in enhancing facilitators and overcoming barriers in microteaching training programs. This framework can also be adapted for use in other academic studies.

Biochar application can enhance phosphorus solubilization by strengthening redox properties of humic reducing microorganisms during composting.

Phosphorus (P) in nature mostly exists in an insoluble state, and humic reducing microorganisms (HRMs) can dissolve insoluble substances through redox properties. This study aimed to investigate the correlations between insoluble P and dominant HRMs amenable to individual culture during biochar composting. These analyses revealed that, in comparison to the control, biochar addition increased the relative abundance of dominant HRMs by 20.3% and decreased redox potential (Eh) levels by 15.4% hence, enhancing the moderately-labile-P and non-labile-P dissolution. The pathways underlying the observed effects were additionally assessed through structural equation modeling, revealing that biochar addition promoted insoluble P dissolution through both the direct effects of bacterial community structure as well as the direct effects of HRMs community structure and indirect effects based on Eh of HRMs community structure. This research offers a better understanding of the effect of HRMs on insoluble P during the composting process.

Towards a taxonomy of mechanisms of change? Findings from an expert survey on the association between common factors and specific techniques in psychotherapy.

OBJECTIVE: In the present study, we used structural equation modeling (SEM) to investigate the complex relationship between common factors, i.e., mechanisms of change, and specific factors, i.e., therapeutic techniques. METHOD: N = 256 psychotherapy experts were asked to rate the appropriateness of 14 techniques commonly used in psychotherapy to facilitate five different common factors - resource activation, motivational clarification, self-management & emotion regulation, social competence, and therapeutic relationship. Using SEM, we defined techniques as indicators and common factors as latent variables. Data were split randomly into two subsets. Indicators were selected if three a priori defined criteria were met based on training data (n = 128). Subsequently, the goodness of model fit was assessed in the test data (n = 128). RESULTS: The proposed model revealed adequate fit. All factor loadings were theoretically sound and significant in magnitude. Findings suggest that psychotherapy experts discriminate between common factors by their various associations with therapeutic techniques. CONCLUSION: Suggestions are made, how therapeutic techniques are to be used to facilitate desirable change in the patient. Our model is a step towards a taxonomy of mechanisms of change that may help to improve research-informed decision-making.

Does Foodservice Employees' Burnout Influence Their In-role and Extra-role Food Safety Behaviors? A Structural Modeling Approach.

Over the past decade, a number of previous studies have found a gap between employees' food safety knowledge and their food safety behavior. Thus, it is valuable to examine motivators (or demotivators) of employees' food safety behavior from a psychological perspective. The objective of this study is to investigate the relationships among employees' burnout, job commitment, and food safety behaviors (in-role and extra-role). A total of 267 nonmanagerial restaurant employees participated in this study. The data were analyzed using structural equation modeling (SEM). Findings reveal that colleague-related burnout and work-related burnout negatively affect employee job commitment. In addition, employee job commitment is a major predictor of in-role and extra-role food safety behaviors. The findings shed light on the effect of different types of burnout on food safety behaviors, which in turn have significant implications for managers in the foodservice industry.

Older adults' intention to use voice assistants: Usability and emotional needs.

Population aging is a global problem, and improving the well-being of older adults is an urgent issue. Voice assistants (VAs) offer hands-free voice control and friendly human-computer interaction, making them a significant solution to address the aging problem. Most extant research on VAs is fragmented, and there are relatively few studies conducted from the perspective of emotional needs. This work proposes a comprehensive research model extending the technology acceptance model (TAM) by incorporating the influencing factors subordinate to two research directions: usability and emotional needs. Usability needs include three factors: perceived convenience, security/privacy, and Internet self-efficacy. Emotional needs include humanized interaction, perceived enjoyment, and perceived companionship. A structural equation model (SEM) was used to validate the model empirically with a sample of 425 older users of VAs. The analysis results are quite consistent with the research assumptions, and the findings illustrate that companionship is the most critical factor affecting older adults' intention to adopt VA use, which demonstrates the pivotal role of VAs in meeting the emotional needs of the elderly. The most unexpected observation was seen for the relationship between perceived ease of use and behavioral intention, which was non-significant. This result confirms that when a technology is perceived as very easy to use, perceived ease of use has little to no impact on individuals' intention to use that technology. The novelty of this study lies in the investigation of older adults' behavioral intentions toward using VAs, providing valuable insights for the design and development of VAs tailored for the elderly population. Beyond the academic realm, this research serves as direct inspiration for designers, developers, and policymakers in the fields of assistive technologies and geriatric care. It offers practical insights into creating VAs that effectively address the emotional needs of older adults and enhance their quality of life. Furthermore, elderly individuals are poised to experience significant benefits from the outcomes of this study，the insights garnered from this study empower the elderly to embrace technological advancements that align with their preferences and comfort levels. This study contributes to a more comprehensive understanding of VAs and their potential to enhance the well-being of older adults, while also paving the way for future investigations in this domain. As underscored by this study's emphasis on the significance of emotional needs in technology acceptance, it encourages the adoption of more user-centered design strategies in the development of future VAs.

Service quality, outpatient satisfaction and loyalty in community pharmacies in Turkey: A structural equation modeling approach.

Background: The sustainability of community pharmacy services is dependent on service quality, patient satisfaction, and patient loyalty. While community pharmacies are perceived as medical units in terms of drug dispensing, they are also businesses that engage in social interaction with patients. Objectives: To propose a certain model to evaluate the impact of different service factors on the level of satisfaction and to reveal the relationship between satisfaction and loyalty. Methods: This cross-sectional study was conducted in the province of Afyonkarahisar, Turkey, between March 20, 2022, and December 30, 2022. The research data were collected with a questionnaire that included demographic information, selected service factors, satisfaction, and loyalty. The data obtained from 402 participants were analyzed using structural equation modeling (SEM). Result: The mean age of the participants was 32.02 ± 11.81, 53.9% were female, 58.7% were employed, 54.1% had a bachelor's degree, 11.7% had a chronic disease, and 16.1% were taking medication regularly. The findings of the study showed that communication and attitude (ß = 0.22; t = 3.90), medicine supply (ß = 0.43; t = 7.62), and pharmacy environment (ß = 0.26; t = 4.23) positively affected patient satisfaction in community pharmacies. Service promptness did not have a significant effect on patient satisfaction (ß = 0.07; t = 1.18). The most effective service factor on patient satisfaction was medicine supply (ß = 0.43). In addition, the research results determined that patient satisfaction strongly affects patient loyalty in community pharmacies (ß = 0.72, t = 11.24). Conclusions: While community pharmacies can increase patient satisfaction through service factors, they can increase patient loyalty by improving patient satisfaction. Community pharmacies that want to have satisfied and loyal patients should focus more on service factors. Community pharmacies should not only meet the medical expectations of patients but also meet their social expectations.

Exploring the Influence of Public Perception of Mass Media Usage and Attitudes towards Mass Media News on Altruistic Behavior.

Based on the cultivation theory and the theory of planned behavior, this study determined how people's perceptions of mass media news and their attitudes towards it impact their altruistic behavior by examining the factors that influence perception. The study collected data from 435 individuals with access to mass media in Taiwan, which were analyzed using SEM. The results revealed that media exposure, credibility, and social influence were critical factors that influenced individuals' perceptions of mass media news, with media exposure having a more significant influence. Surprisingly, the findings demonstrated that perception was negatively related to attitudes, inconsistent with the proposed hypothesis. Thus, perceptions and attitudes were positively associated with altruistic behavior, and attitude was found to mediate the relationship between perceptions about mass media news and altruistic behavior. The study also provides important implications for theory and practice, especially in mass media entities, in developing and adopting practices that promote trust among the audience by encouraging altruistic behaviors through news coverage of various issues.

Hydrogeochemical and multivariate statistical approaches to investigate the characteristics of groundwater quality in fluoride-enriched hard rock region in Tirupathur district of Tamil Nadu, India.

Fluoride pollution is a major issue worldwide, posing health risks such as dental and skeletal fluorosis. This study was conducted in fluoride enrichment hard rock regions of Vaniyambadi and Ambur talks in Tirupathur district, Tamil Nadu. Four hundred eighty groundwater samples were collected from May 2021 to April 2022 and grouped as summer, southwest monsoon (SWM), northeast monsoon (NEM), and winter. Maximum concentration of fluoride was found to be 4 mg/L in the summer season in Vellakuttai region of Vaniyambadi taluk. The study aims to investigate the hydrogeochemical process and mechanism influencing groundwater chemistry and it also provides the confirmation of exploratory data analysis in groundwater quality using structural equation modeling. The Piper and Gibbs diagrams illustrate the rock-water interaction and anthropogenic sources that contribute to the NaHCO3 and NaCl-type waters, respectively. Multivariate statistical analysis such as hierarchical cluster analysis (HCA), principal component analysis (PCA), multiple linear regression (MLR), and structural equation modeling (SEM) has been carried out to determine the groundwater quality. HCA manifests the nature and sources of groundwater, whereas PCA divides all the physicochemical parameters into two PC loadings, accounting for 97.46%, 99.46%, 99.18%, and 98.93% of cumulative % of variance during the summer, SWM, NEM, and winter seasons, respectively. PC1 has a higher loading factor to Cl, Ca, and Mg, whereas PC2 has a higher loading factor to Na, HCO3, SO4, and NO3. The results of the MLR model provide higher accuracy in detecting the contamination factors associated with the environment and natural rocks. SEM revealed the goodness-of-fit indices 0.993, 0.999, 1.000, and 0.999 in summer, SWM, NEM, and winter, respectively. Hence, this study provides insight view of variation of fluoride concentration in groundwater in different seasons and also mentions the factors that influence fluoride concentration in Vaniyambadi and Ambur taluk.

Childhood trauma and social support affect symptom profiles through cortical thickness abnormalities in major depressive disorder: A structural equation modeling analysis.

BACKGROUND: Childhood trauma, low social support, and alexithymia are recognized as risk factors for major depressive disorder (MDD). However, the mechanisms of risk factors, symptoms, and corresponding structural brain abnormalities in MDD are not fully understood. Structural equation modeling (SEM) has advantages in studying multivariate interrelationships. We aim to illustrate their relationships using SEM. METHODS: 313 MDD patients (213 female; mean age 42.49 years) underwent magnetic resonance imaging and completed assessments. We integrated childhood trauma, alexithymia, social support, anhedonia, depression, anxiety, suicidal ideation and cortical thickness into a multivariate SEM. RESULTS: We first established the risk factors-clinical phenotype SEM with an adequate fit. Cortical thickness results show a negative correlation of childhood trauma with the left middle temporal gyrus (MTG) (p = 0.012), and social support was negatively correlated with the left posterior cingulate cortex (PCC) (p < 0.001). The final good fit SEM (χ2 = 32.92, df = 21, χ2/df = 1.57, CFI = 0.962, GFI = 0.978, RMSEA = 0.043) suggested two pathways, with left PCC thickness mediating the relationship between social support and suicidal ideation, and left MTG thickness mediating between childhood trauma and anhedonia/anxiety. CONCLUSION: Our findings provide evidence for the impact of risk factor variables on the brain structure and clinical phenotype of MDD patients. Insufficient social support and childhood trauma might lead to corresponding cortical abnormalities in PCC and MTG, affecting the patient's mood and suicidal ideation. Future interventions should aim at these nodes.

Evaluating the impact of COVID-19 on traffic congestion and safety skills using structural equation modeling (SEM) and Auto-Regressive Integrated Moving Average (ARIMA).

The current work presented a comparative analysis of traffic demand and safety skills before and after control measures during the COVID-19 epidemic, acquired time-series change data curves, and constructed a prediction model after determining the trend of traffic demand over time. From a data analysis perspective, the paper draws some interesting conclusions about long span, coarse sampling studies. In terms of the study population, the paper did focus on the specificity of the global epidemic. Kuwait was selected as a case study. Traffic demand analysis was conducted using a Structural Equation Model (SEM), Auto-Regressive Integrated Moving Average (ARIMA), and safety skills questionnaire along with flow charts and demographic variables. These methods were utilized to study the impact of COVID-19 on traffic congestion and safety skills as well as to forecast the future traffic volumes. Results showed that traffic congestion had a significant reduction during COVID-19 as a result of the preventive safety measures taken to control the spread of the virus. Such reduced traffic volume was associated with a decrease in traffic violations and an increase in the safety skills and PM skills of drivers.

Negative Life Events, Negative Copying Style, and Internet Addiction in Middle School Students: A Large Two-year Follow-up Study.

Through a two-year follow-up study among 2,845 middle school students, we examined the impact of baseline negative life events (NLE) on follow-up negative copying style (NCS) and Internet addiction (IA), and the mediation of NCS between NLE and IA. We found that all NLE, NCS, and IA were correlated, and that both NLE and NCS were risk factors for IA. Structural equation modeling (SEM) results showed that NLE were associated with increased NCS (ß = 0.17, p < 0.01) and IA (ß = 0.16, p < 0.01), that NCS was associated IA ( ß = 0.33, p < 0 0.01), and that NCS partially mediated the effect of NLE on IA ( ß = 0.17, p < 0.01). This large longitudinal study provided solid empirical evidence that NLE and NCS played important roles in IA among middle school students. Educators and policy makers may adopt corresponding approaches to address IA among this population.

Longitudinal changes in gray matter correspond to changes in cognition across the lifespan: implications for theories of cognition.

The present study examines the association between gray matter volume and cognition. Studies that have examined this issue have focused primarily on older adults, whereas the present study examines the issue across the entire adult lifespan. A total of 463 adults, ages 20-88 at first assessment, were followed longitudinally across three assessments over 8-10years. Significant individual differences in a general cognition measure comprised of measures of speed of processing, working memory, and episodic memory were observed, as well as in measures of cortical and subcortical gray matter. Parallel process latent growth curve modeling showed a reliable relationship between decreases in cortical matter and cognitive decline across the entire adult lifespan, which persisted after controlling for age effects. Implications of these findings in relation to progression toward dementia, risk assessment, cognitive intervention, and environmental factors are discussed, as well as implications for theories of cognitive aging.

Cocultivation with Solanum nigrum and inoculation with Rhizophagus intraradices can improve plant photosynthesis and antioxidant defense to alleviate cadmium toxicity to soybean.

High Cd pollution can damage plant physiology and seriously threaten ecological security and human health. Therefore, we designed a cropping system, arbuscular mycorrhizal fungi (AMF) - soybean - Solanum nigrum L., to solve the high Cd pollution problem in an environmentally and economically friendly way. The results showed that AMF were able to break free from the constraints of cocultivation and still promote plant photosynthesis and growth in combined treatments to resist Cd stress. In addition, cocultivation combined with AMF improved the antioxidant defense to scavenge reactive oxygen species by promoting the production of antioxidant enzymes and nonenzyme substances in host plants. The glutathione content in soybean and the catalase activity in nightshade were recorded at the highest values under cocultivation combined with AMF treatment, which were 23.68% and 129.12% higher than those of monoculture without AMF treatments. The improvement in antioxidant defense alleviated oxidative stress, which was manifested by the reduction in Cd dense electronic particles in the ultrastructure and a 26.38% decrease in MDA content. Furthermore, this cropping mode combined the advantages of cocultivation to improve the Cd extraction efficiency and Rhizophagus intraradices to limit Cd accumulation and transport so that Cd was more accumulated and restricted in the roots of the cocultivated Solanum nigrum L., and the Cd concentration in soybean beans was reduced by 56% compared with the soybean monoculture without AMF treatment. Therefore, we suggest that this cropping system is a comprehensive and mild remediation technology suitable for highly Cd-contaminated soil.