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The results indicate that PSTR model can be used to study the threshold effect on FDI's influence on carbon dioxide emissions and the individual and time differences in coefficients of elasticity, to provide a new research perspective and new conclusions on the environmental effect of FDI in rapid economic development.The main activating variables of psychological well-being and Emotional Intelligence that influence teachers include the process of evaluating well-being, their motivation, and their ability to perceive and regulate sources of stress and burnout. The relationship and influence of psychological well-being and emotional intelligence was analyzed with the adequate regulation of burnout. Those who participated included 386 active teachers (55%), and teachers in training (45%), studying for degrees in Pre-School and Primary Education, and Master's degrees in Secondary Education Teacher Training of which 71.5% were women. The following were used Psychological Well-Being Scales, Trait Meta-Mood Scale and the Spanish Burnout Inventory. Pearson's correlation analysis and multiple regression analysis were performed. The results showed that enthusiasm for the teaching job is related to psychological well-being, especially domain of the environment and personal growth. Multiple regression analysis made it possible to establish a predictive model of well-being, showing that psychological well-being is the main adjustment predictor and/or the mismatch in the work of the teaching staff in both samples, through an adequate regulation of positive relationships, mastery of their environment and having a purpose in life.Headache disorders (HDs) are among the most common conditions of the central nervous system, with an estimated prevalence of 50% in adult population. The aim of this work is to analyze the prevalence of structural anomalies that may explain HDs in MRI exams performed to rule out secondary headache in real-world practice, as well as risk factors associated with these lesions. We conducted a retrospective observational study based on a consecutive case series of all patients that underwent brain MRI due to headache from 1 January 2019 to 31 May 2019. We included patients from six MRI diagnostic centers accounting for four provinces of Andalusia (southern Spain). Bivariate and multivariate logistical regression models were performed to identify risk factors associated with the outcomes (1) presence of a structural finding potentially explaining headache, (2) presence of intracranial space-occupying lesions (SOLs), and (3) presence of intracranial tumors (ITs). Of the analyzed sample (1041 patients), a structural finding that could explain headache was found in 224 (21.5%) patients. SOLs were found in 50 (6.8%) patients and ITs in 12 (1.5%) patients. The main factors associated with structural abnormalities were female sex (OR, 1.35; 95% CI, 1.02-1.85), accompanying symptoms (OR, 1.34; 95% CI, 1.05-1.89), use of gadolinium-based contrast agents (OR, 1.89; 95% CI, 1.31-2.72) and previously known conditions potentially explaining headache (OR, 2.44; 95% CI, 1.55-3.84). Female sex (p = 0.048) and accompanying symptoms (p = 0.033) were also associated with ITs in bivariate analyses. Our results may be relevant for different medical specialists involved in the diagnosis, management and prevention of headache. Moreover, the risk factors identified in our study might help the development of public health strategies aimed at early diagnosis of brain tumors. Future studies are warranted to corroborate our findings.We report on the findings of a mixed methods longitudinal study of 84 African American fathers of young children who were enrolled into the study during the father's jail stay. Participants were assessed using interviews, self-report measures, and administrative records on frequency of father-child contact, father-caregiver relationship quality, family support, paternal pre-incarceration employment, fathers' plans to live with the child upon reentry, history of substance abuse, and new convictions one year following release from jail. Qualitative analysis revealed three primary identities of fathers during incarceration father as nurturer, father as protector, and father as provider. Qualitative analysis of interview data detailed the ways in which the context of incarceration and the presence of the criminal justice system interacts with these identities to impact family structure, parent-child visits, plans for release, and motivation for desistance. Quantitative analysis indicated heterogeneity among fathers, with links between parent-child contact and desistance conditional on fathers' plans for coresidence with children as well as family support and relationship quality. Taken together, the findings highlight the strengths of African American fathers and their families despite the risks associated with incarceration, including the importance of family support and children as motivation for desistance. The results have implications for how the justice system weighs the bidirectional influences of fathers and families.This study determined the direct and indirect effects of medical students' online learning perceptions on learning outcomes via their readiness for online learning. It also determined the moderating effect of teachers' online teaching readiness on medical students' online learning perceptions and learning outcomes. We apply the theoretical lens of self-determination theory and constructivist theory to formulate hypotheses. We used self-administered and postal survey methods to collect data from fourth and fifth-year medical students on online learning perceptions, readiness for online learning, and learning outcomes in two waves. We also collected data from the teachers about their perceptions of online teaching readiness. We received 517 usable students' responses (Level-1) and 88 usable teachers' responses (Level-2). We tested Level-1 hypotheses about direct and indirect effects in Analysis of Moment Structures (AMOS), and a Level-2 hypothesis about moderating effect was tested using Hierarchical Linear Modeling (HLM). The results for the Level-1 hypotheses supported the positive effects of students' online learning perceptions and readiness for online learning on learning outcomes. Student readiness for online learning significantly mediated the relationship between online learning perceptions and learning outcomes. HLM results also supported a moderating effect of teachers' online teaching readiness on medical students' online learning perceptions and learning outcomes in such a way that learning outcomes were high when students' online learning perceptions and teachers' online teaching readiness were high. Based on the study's findings, we offer contributions to theory and practice.The purpose of this study was to investigate organizational justice and nursing core competency as factors that affect turnover intention among nurses. The participants comprised 153 nurses who worked at tertiary hospitals and general hospitals throughout South Korea. Turnover intention was measured using the Nurse Turnover Intention Scale. Organizational justice was measured using the Justice Scale, and nursing core competency was measured using the Korean Nursing Core Competency Scale. Data were collected via an online survey and analyzed using multiple regression. check details Among nurses with less than 3 years of clinical experience, a lower distributive justice score (β = -0.47, p < 0.001) was associated with high turnover intention. Among nurses with 3 to 6 years of clinical experience, a lower interactional justice score (β = -0.37, p = 0.042) and high nursing core competency (β = 0.31, p = 0.034) were associated with high turnover intention. The type of organizational justice that influenced turnover intention differed depending on clinical experience. These results highlight the need to understand the professional characteristics of nurses according to their clinical experience and to provide targeted organizational support and effective competency-based human resource management.At present, there are large number of articles on the impact of COVID-19, but there are only a few articles on the impact of COVID-19 and international agriculture. Agriculture product is different from other industrial products. If domestic food cannot be self-sufficient, it must be resolved through imports. This will inevitably face the dilemma between the opening up agriculture and the risk of importing COVID-19. This paper pioneered the use of entropy method, TOPSIS method and grey correlation analysis to predict the correlation between agricultural opening to the outside world and the input and spread of COVID-19. We use the correlation matrix quantifying the number of confirmed COVID-19 cases and agricultural openness to deduce that there is a significant positive correlation between the flow of agricultural products caused by China's agricultural opening-up and the spread of COVID-19, and use the proposed matrix to predict the spread risk of COVID-19 in China. The results of the empirical analysis can provide strong evidence for decision-makers to balance the risk of COVID-19 transmission with the opening of agricultural markets, and they can take this evidence into full consideration to formulate reasonable policies. This has great implications both for preventing the spread of COVID-19 and for agricultural opening-up.(1) Background we investigated and analyzed the most recent implementations of technology in the fields of psychotherapy, clinical rehabilitation, and addiction treatment. (2) Methods from December 2021 to January 2022, we conducted a review aimed at identifying the recent implementations of technology in cyber health psychology, with particular reference to Virtual Reality in psychotherapy, mHealth tools in clinical rehabilitation, and smartphone applications in the treatment of addiction to substances of abuse, searching for relevant studies in the databases PubMed, Web of Science, Google Scholar, Health & Medical Collection, and APA PsycArticles. (3) Results the tools analyzed are in constant development and are increasingly used, with good results, and further technological progress could lead to even better treatment outcomes; as far as mHealth tools and smartphone applications are concerned, anti-smoking Apps are the most widespread, followed by those for the treatment of alcohol use disorder, and there is no presence of Apps for the treatment of heroin, cocaine, or crack addiction. (4) Conclusions the results of the review indicate that these technological tools are increasingly used and are, in principle, effective and have numerous advantages, including low cost and versatility.Depressive symptoms are prevalent in Chinese college students, but little is known about the heterogeneity in the developmental trajectory of depressive symptoms in China. This study examined heterogeneity in the development of depressive symptoms and examined the effect of gender on the developmental trajectories over a 14-month period among Chinese college students (N = 1163, mean age 20.18, 80.31% female). Three different trajectories, moderate-increasing, high-stable and low-stable, captured the heterogeneity in the development of depressive symptoms. Gender showed significant influence on class membership. Relative to the moderate-increasing class, males emerged as significantly more likely than females to be found in the low-stable class (odds ratio (OR) = 2.73, 95% CI = (1.21, 6.13), p = 0.015) and the high-stable class (OR = 5.10, 95% CI = (1.12, 23.18), p = 0.035). The results provide additional evidence for the conclusion that the trajectories of depressive symptoms are heterogeneous with Chinese samples.