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This paper investigates the role of municipal and provincial public social spending for local income inequality after taxes and transfers in Austria. We utilize a spatial multi‐level model, which allows us to analyze the contribution of three spatial scales (municipal, district, and provincial level) to municipal income inequality. Our analysis shows that the effect of public social spending on local Gini indices does not only differ across provinces but also across municipalities which indicates that the potential cushioning effect of social expenditure is highly localized. Further splitting total public social expenditure into three distinct categories (education, health, social protection) reveals that spending on social protection has the highest effect on local inequality across all provinces, while health spending does not exert a discernible influence in any province. The method and results presented in this paper are of international interest for policymakers and researchers who aim to investigate whether the same patterns hold true in other countries. [ABSTRACT FROM AUTHOR]

The relations between shyness and internalizing problems have been mainly explored at the individual level, with little known about its dynamics at the group level. This study aims to examine the mediating effect of individual-level sport engagement and the moderating effect of class-level sport participation in the relations between shyness and internalizing problems. The participants were 951 children attending primary and middle school from grade 3 to grade 7 (Mage = 11 years, 509 boys) in urban areas of China. Cross-sectional data were collected using self-report assessments. Multi-level analysis indicated that (1) shyness was positively associated with internalizing problems; (2) sport engagement partially mediated the relations between shyness and internalizing problems; and (3) class sport participation was a cross-level moderator in the mediating relations between shyness, sport engagement, and internalizing problems. Shy children in classes with a higher level of sport participation tend to have less sport engagement and more internalizing problems than those in classes with a lower level of sport participation. These findings illuminate implications from a multi-level perspective for shy children's adjustment in a Chinese context. The well-being of shy children could be improved by intervening in sport activity, addressing both individual engagement and group dynamics, such as class participation. [ABSTRACT FROM AUTHOR]

The sustainability of the salmon farming industry is being challenged by increased mortality rates. Scotland’s open-source salmon production data provides the possibility of developing an industry-wide mortality monitoring model, valuable for identifying and addressing unexpected increases in mortality without needing data sharing agreements across different companies. This study aimed to utilize these data to develop a hierarchical dynamic linear model (DLM) for monitoring monthly mortality of maricultured Atlantic salmon in Scotland. We evaluated whether considering the hierarchical structure present in the data (country, region, and site) would improve mortality predictions when compared to the production cycle level DLMs developed in a previous study. Our findings demonstrated that the hierarchical DLM outperformed the production cycle level DLMs, confirming the value of this more complex modelling approach. Nevertheless, the hierarchical model, like the production cycle level DLMs, exhibited some uncertainty in the mortality predictions. When mortality is higher than expected, site level warnings are generated, which can encourage producers and inspectors to further investigate the cause. Between 2015 and 2020, approximately 25% of the production cycles and 50% of the sites encountered at least one warning, with most warnings happening in the summer and autumn months. Additionally, the hierarchical model enabled monitoring mortality at multiple levels. This information is useful for various stakeholders as part of a monitoring system, offering insights into mortality trends at national, regional, and sites levels that may benefit from strategic resource management. Recommendations for model improvements include utilizing shorter data aggregation periods, such as weekly, which are not currently available as open-source data.

Popular statistical software provides the Bayesian information criterion (BIC) for multi‐level models or linear mixed models. However, it has been observed that the combination of statistical literature and software documentation has led to discrepancies in the formulas of the BIC and uncertainties as to the proper use of the BIC in selecting a multi‐level model with respect to level‐specific fixed and random effects. These discrepancies and uncertainties result from different specifications of sample size in the BIC's penalty term for multi‐level models. In this study, we derive the BIC's penalty term for level‐specific fixed‐ and random‐effect selection in a two‐level nested design. In this new version of BIC, called BICE1, this penalty term is decomposed into two parts if the random‐effect variance–covariance matrix has full rank: (a) a term with the log of average sample size per cluster and (b) the total number of parameters times the log of the total number of clusters. Furthermore, we derive the new version of BIC, called BICE2, in the presence of redundant random effects. We show that the derived formulae, BICE1 and BICE2, adhere to empirical values via numerical demonstration and that BICE (E indicating either E1 or E2) is the best global selection criterion, as it performs at least as well as BIC with the total sample size and BIC with the number of clusters across various multi‐level conditions through a simulation study. In addition, the use of BICE1 is illustrated with a textbook example dataset. [ABSTRACT FROM AUTHOR]

Purpose. The article examines the question of the levels of foreign language communicative competence development of students for technical specialties. The characteristics of the corresponding levels are given. The tasks are to find out the essence of the concept «level of foreign language communicative competence»; to analyze classifications of foreign language proficiency levels; characterize the criteria for the levels of foreign language communicative competence development of students for technical specialties, based on the analysis. Methodology. Research methods are the analysis and summarization of relevant scientific materials for the purpose of collecting and presenting results, as well as coming to the conclusions. Results. The concept of the mastery level of a foreign language can be defined as a student's ability to formulate his foreign language statements in a grammatically correct and communicatively acceptable way to solve certain functional communication tasks, that implies the possession of a certain set of linguistic and sociocultural knowledge, skills. Many level systems are oriented (for practical purposes) to three main levels: elementary; medium (intermediate); advanced, they can be divided into sublevels depending on the purpose of level determining. As a result, six levels emerged, where each of the three main ones is divided into one more advanced and one less advanced, compared to the most basic level of foreign language proficiency. The system of levels of foreign language proficiency is closely related to the system of control, assessment and self-assessment of the level foreign language communicative competence development. Each type of foreign language communicative competence corresponds to its own level of learning, that differs in final target settings. The training level (planned result) is a projection of the goal on the content of training, it involves taking into account the training conditions. Taking into account the characteristics of the component composition of foreign language communicative competence, the experience of developing new control models, it is possible to single out the parameters and criteria necessary for assessing the level of foreign language communicative competence development of students. Namely, the purpose of the final control is to establish the correspondence between the level of foreign language communicative competence and the requirements of the English language curriculum for students of technical specialties. Conclusion. Thus, when considering issues related to the control of foreign language knowledge, skills (definition of goals, content, exam type, evaluation criteria), one should take into account both international standards of the level of foreign language proficiency and modern national requirements, they are submitted in educational programs and foreign language textbooks. In other words, all components of foreign language communicative competence should be the object of control. In particular, the pan-European system of language proficiency levels can be adapted to the goals of professional education and can serve as a basis for various diagnostic models that ensure the technologicalization of the competence approach in the process of foreign language training under the conditions of non-language higher education. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to develop a house price forecasting model to investigate the impact of neighbourhood effect on property value. Design/methodology/approach: Multi-level modelling (MLM) method is used to develop the house price forecasting models. The neighbourhood effects, that is, socio-economic conditions that exist in various locations, are included in this study. Data from the local government area in Greater Sydney, Australia, has been collected to test the developed model. Findings: Results show that the multi-level models can account for the neighbourhood effects and provide accurate forecasting results. Research limitations/implications: It is believed that the impacts on specific households may be different because of the price differences in various geographic areas. The "neighbourhood" is an important consideration in housing purchase decisions. Practical implications: While increasing housing supply provisions to match the housing demand, governments may consider improving the quality of neighbourhood conditions such as transportation, surrounding environment and public space security. Originality/value: The demand and supply of housing in different locations have not behaved uniformly over time, that is, they demonstrate spatial heterogeneity. The use of MLM extends the standard hedonic model to incorporate physical characteristics and socio-economic variables to estimate dwelling prices. [ABSTRACT FROM AUTHOR]

Abstract Background In Norrtälje municipality, within Region Stockholm, there is a joint integrated care organisation providing health and social care, which may have facilitated a more coordinated response to the covid-19 pandemic compared to the otherwise decentralised Swedish system. This study compares the risk of covid-19 mortality among persons 70 years and older, in the municipalities of Stockholm, Södertälje, and Norrtälje, while considering area and individual risk factors. Methods A population-based study using linked register data to examine covid-19 mortality among those 70 + years (N = 127,575) within the municipalities of interest between the periods March-August 2020 and September 2020-February 2021. The effect of individual and area level variables on covid-19 mortality among inhabitants in 68 catchment areas were examined using multi-level logistic models. Results Individual factors associated with covid-19 mortality were sex, older age, primary education, country of birth and poorer health as indicated by the Charlson Co-morbidity Index. The area-level variables associated were high deprivation (OR: 1.56, CI: 1.18–2.08), population density (OR: 1.14, CI: 1.08–1.21), and usual care. Together, this explained 85.7% of the variation between catchment areas in period 1 and most variation was due to individual risk factors in period 2. Little of the residual variation was attributed to differences between catchment areas. Conclusion Integrated care in Norrtälje may have facilitated a more coordinated response during period 1, compared to municipalities with usual care. In the future, integrated care should be considered as an approach to better protect and meet the care needs of older people during emergency situations.

Studying the abandonment status of mountain terraces and its determinants, as well as exploring opportunities for the sustainable use of mountain terraces, are of great significance for the protection of regional cultivated land resources. The present study analysed eight typical villages in Jianhe County, Guizhou Province, China, as examples. A combination of high‐resolution remote sensing images and farm household survey data were used to explore the abandonment of terraces in mountainous areas. A multi‐level logistic model was constructed to analyse the determinants of terrace abandonment based on three levels: plot, household and village. The results show that serious terrace abandonment occurred in the study area, with 33.78% of all terraces having been abandoned. The plot and household levels were important in influencing terrace abandonment by farmers. At the plot level, terrace abandonment is more likely to occur on small plots found at a long distance from residences with poor irrigation conditions and collapsed ridges. At the household level, households where the head had a relatively high level of education and households with relatively small agricultural labour forces and lower degrees of mechanisation had a higher probability of their terraces being abandoned. At the village level, a relatively high risk of terrace abandonment was found in villages relatively close to an administrative centre, with a low land transfer rate and a low rate of forest coverage. In conclusion, carrying out land consolidation projects and improving agricultural infrastructure in mountainous areas are important means to achieving the sustainable use of terraces. [ABSTRACT FROM AUTHOR]

In multi-regional clinical trials, hierarchical linear models have been actively studied because they can reflect that patients in the same region share common intrinsic and extrinsic factors. In this paper, we investigate the statistical properties of the hierarchical linear model including a random effect in the intercept. The big advantage of the random intercept hierarchical linear model is that it can control the type I error rates of testing the overall treatment effect when there are no or clinically negligible regional differences in the treatment effect. Moreover, we compare the pros and cons with the hierarchical linear model in which the random effect is included in the slope. For the two hierarchical linear models, the model selection criteria are determined according to the magnitude of the difference in treatment effect across the regions, and we provide the criteria through simulation studies. [ABSTRACT FROM AUTHOR]

The relations between shyness and internalizing problems have been mainly explored at the individual level, with little known about its dynamics at the group level. This study aims to examine the mediating effect of individual-level sport engagement and the moderating effect of class-level sport participation in the relations between shyness and internalizing problems. The participants were 951 children attending primary and middle school from grade 3 to grade 7 (Mage = 11 years, 509 boys) in urban areas of China. Cross-sectional data were collected using self-report assessments. Multi-level analysis indicated that (1) shyness was positively associated with internalizing problems; (2) sport engagement partially mediated the relations between shyness and internalizing problems; and (3) class sport participation was a cross-level moderator in the mediating relations between shyness, sport engagement, and internalizing problems. Shy children in classes with a higher level of sport participation tend to have less sport engagement and more internalizing problems than those in classes with a lower level of sport participation. These findings illuminate implications from a multi-level perspective for shy children’s adjustment in a Chinese context. The well-being of shy children could be improved by intervening in sport activity, addressing both individual engagement and group dynamics, such as class participation.

Objective To investigate the current situation of reproductive health education among floating women of childbearing age and to explore its influencing factors, to provide reference for promoting the equalization of basic public services for health and family planning and improving the level of health literacy of floating population. Methods In total, 61 086 floating women aged 15 to 49 years in the 2018 national floating population dynamic monitoring survey were selected as the research subjects, a multi-level logistic model was established and considering the fact of inter-regional heterogeneity. Results Floating women of childbearing age accounted for 40.18% of the respondents of the floating population, and the acceptance rate of reproductive health education was 49.39%. The acceptance rate of reproductive health education services in the central and western regions were higher than those in the eastern and northeast regions. The results of multi-level logistic model analysis showed that the acceptance rate of reproductive health education for floating women of childbearing age was aggregated at the community level, and that qualified management of community health education services (OR=1.305, 95%CI: 1.182-1.440) and neighborhood committee (OR=L756, 95%CI: 1.567-1.969) were promoting factors for receiving reproductive health education services. At the individual level, women who were aged 30 to 39 years (OR=1.59& 95%CI: 1.346-1.897), married (OR=1.751, 95%CI: 1.591-1.927), with college eduction (0=2.059, 95%CZ:1.877-2259), enrolled in health insurance (OR-1.386: 95%CZ: 1.267-1.516), employed (OR = 1.242, 95%a:1.171-1317), and had children (1 child: OR = 1.662, 95%C7: 1.514-1.824; more than 2 children: OR=1.715: 95%CI: 1.544-1.905), did not undergo induced abortion (OR=1.207, 95%CI: 1.070-1362), currently pregnant (0R=2.143, 95%C7:1.870-2.455), and self-rated health (0R=1.222, 95%CI: 1.134-1.317) in the past year were more likely to receive reproductive health education. Conclusion Reproductive health education for floating women of childbearing age is related to individual factors and community factors. Reproductive health education services should focus on floating women of childbearing age who are not married, have not given birth to children, and have experienced induced abortion in the past year. [ABSTRACT FROM AUTHOR]

Background: Identifying predictors of treatment outcome can guide treatment selection and optimize use of resources. In patients affected by obsessive-compulsive disorder (OCD), perfectionism has emerged as one possible predictor, with some data suggesting that cognitive-behavioral therapy outcomes are poorer for more perfectionistic patients. Findings so far are inconsistent, however, and research has yet to be extended to newer treatment approaches. Methods: We administered measures of concern over mistakes, clinical perfectionism, as well as OCD and depression symptom severity to a sample of OCD patients in out-patient group treatments (N = 61), namely, metacognitive training (MCT-OCD) or mindfulness-based cognitive therapy (MBCT) for OCD. Hierarchical data over time was submitted to multi-level analysis. Results: Neither concern over mistakes nor clinical perfectionism at baseline predicted OCD symptoms across time points. However, concern over mistakes at baseline did significantly predict comorbid depressive symptoms. Furthermore, exploratory analysis revealed change in clinical perfectionism during treatment as a predictor of OCD symptoms at follow-up. Conclusion: These results suggest that initial concern over mistakes may not prevent patients with OCD from benefitting from third-wave treatments. Change in clinical perfectionism may present a putative process of therapeutic change. Limitations and avenues for future research are discussed. [ABSTRACT FROM AUTHOR]

Objective: For computer-aided Chinese medical diagnosis and aiming at the problem of insufficient segmentation, a novel multi-level method based on the multi-scale fusion residual neural network (MF2ResU-Net) model is proposed. Methods: To obtain refined features of retinal blood vessels, three cascade connected U-Net networks are employed. To deal with the problem of difference between the parts of encoder and decoder, in MF2ResU-Net, shortcut connections are used to combine the encoder and decoder layers in the blocks. To refine the feature of segmentation, atrous spatial pyramid pooling (ASPP) is embedded to achieve multi-scale features for the final segmentation networks. Results: The MF2ResU-Net was superior to the existing methods on the criteria of sensitivity (Sen), specificity (Spe), accuracy (ACC), and area under curve (AUC), the values of which are 0.8013 and 0.8102, 0.9842 and 0.9809, 0.9700 and 0.9776, and 0.9797 and 0.9837, respectively for DRIVE and CHASE DB1. The results of experiments demonstrated the effectiveness and robustness of the model in the segmentation of complex curvature and small blood vessels. Conclusion: Based on residual connections and multi-feature fusion, the proposed method can obtain accurate segmentation of retinal blood vessels by refining the segmentation features, which can provide another diagnosis method for computer-aided Chinese medical diagnosis.

Based on a typological approach and data from the World Values Survey Wave 7 and utilising the comparative method of variation‐finding and a multi‐level mixed‐effects model, this study formulated a quartered typology of welfare attitudes on the country level informed by people's attitudes towards government responsibility for social welfare (welfare attitudes) and their associations with socio‐political orientation. This typology substantiated the cross‐national variations in welfare attitudes. Outcome measures included Welfare Attitudes Score, and explanatory measures included subjective social class and political orientation score. This study concludes that country‐specific welfare attitudes and their associations with political orientation inform an empirically quartered typology of welfare attitudes. Implications feature closer examinations of within‐country variances of welfare attitudes and the correlations of country‐specific intercepts and coefficients and highlight further theoretical and conceptual examination and substantiation of this new typology of welfare attitudes. [ABSTRACT FROM AUTHOR]

This mixed-method study investigated how primary school mathematics teachers in South Africa and Germany utilise educational technology. The perceptions of the principals and teachers regarding the use of educational technology and the obstacles to its integration were contrasted. In addition, the Trends in International Mathematics and Science Study (TIMSS) 2019 data from these countries were used to evaluate the relationship between educational technology and learner accomplishment. The results showed that teachers from both nations employed educational technology as a presentation-, reinforcement-, supplement-, and problem-solving tool, and also used it to stimulate the learning environment, as shown through semi-structured interviews and classroom observations. In addition, obstacles such as a lack of tablets/computers, technical support, and a lack of relevant continuous professional development impeded the incorporation of educational technology in mathematics by these teachers. Additionally, multi-level models revealed that access to a computer and internet connectivity at home correlated positively with German learners' mathematics performances, while no statistically significant relationship was observed in South Africa. The results of this study have policy implications and are discussed at the end of this paper. [ABSTRACT FROM AUTHOR]

Researchers have been increasingly taking advantage of the stochastic actor-oriented modeling framework as a method to analyze the evolution of network ties. Although the framework has proven to be a useful method to model longitudinal network data, it is designed to analyze a sample of one bounded network. For group and team researchers, this can be a significant limitation because such researchers often collect data on more than one team. This paper presents a nontechnical and hands-on introduction for a meta-level technique for stochastic actor-oriented models in RSIENA where researchers can simultaneously analyze network drivers from multiple samples of teams and groups. Moreover, we follow up with a multilevel Bayesian version of the model when it is appropriate. We also provide a framework for researchers to understand what types of research questions and theories could be examined and tested.

Boundary spanner corruption—voluntary collaborative behavior between individuals representing different organizations that violates their organizations' norms—is a serious problem in business-to-business (B2B) marketing relationships. Drawing on insights from the literatures on the dark side of business relationships and deviance in sales and service organizations, the authors identify boundary spanner corruption as a potential dark side complication inherent in close B2B marketing relationships. The same elements that generate benefits in interorganizational relationships, such as those between customer and seller firms, also enable the development of boundary-spanning social cocoons that can foment corrupt activities under certain conditions. A conceptual framework illustrates how trust at the interpersonal, intraorganizational, and interorganizational levels enables corrupt behaviors by allowing deviance-inducing factors stemming from the task environment or from the individual boundary spanner to manifest in boundary spanner corruption. Interpersonal trust between representatives of different organizations, interorganizational trust between these organizations, and intraorganizational agency trust of management in their representatives foster the development of a boundary-spanning social cocoon—a microculture that can inculcate deviant norms leading to corrupt behavior. Boundary spanner corruption imposes direct and opportunity costs on the involved organizations, with the additional burden of latent financial risk associated with potential exposure. The authors substantiate their multi-level framework and propositions with field-based insights from qualitative interviews with senior executives. The multi-level framework of boundary spanner corruption extends beyond extant marketing literature, highlights intriguing directions for future research, and offers new managerial insights. [ABSTRACT FROM AUTHOR]

Background: In the context of rising noncommunicable diseases, Chinese authorities emphasize the need for local governments to provide public sports services to support physical activity (PA)., Methods: Employing a socioecological theoretical framework, and drawing on a hierarchical data set synthesized from the China Health and Nutrition Survey, China Stock Market & Accounting Research Database, and Wind Financial Terminal from 2015, a multilevel analysis of the association between provincial government expenditure on culture, sports, and media from 12 provinces, the recreation facilities provided by 287 communities, and PA of n = 10,305 individuals is performed. The number of, and time allocated to, PAs undertaken as well as their METs equivalent in relation to World Health Organization guidelines are investigated., Results: Controlling for a large set of individual confounders, the results show that community recreation facilities and provincial government expenditure have a significant positive association with PA participation that exceeds health guidelines., Conclusions: The results confirm the importance of government support for sport and the provision of community sport and PA facilities in China. This has implications for public health policy generally including the Western context. It remains, however, that the cultural context of engagement also needs further consideration.

Purpose: Few existing interventions have effectively improved the quality of life (QOL) for patients with advanced cancer and their caregivers, partly due to limited research on the factors associated with QOL. Guided by an adapted stress-coping model, this study aimed to examine the associations between the QOL of cancer patients and their caregivers and their primary and secondary appraisals. Primary appraisals involve perceptions and evaluations of advanced cancer and related caregiving, while secondary appraisals relate to their available resources and coping capabilities., Methods: Using multi-level modeling, we conducted a secondary analysis of the baseline data collected from a randomized clinical trial that examined the effects of a family-based, psychoeducational support program for patients with advanced cancer and their caregivers (N = 362 dyads)., Results: The appraisal variables hypothesized in the adapted stress-coping model explained 74.14% of the variance in the QOL of patients with advanced cancer and their caregivers when controlling for demographics and other disease-related variables. Better QOL in patients and caregivers was associated with less negative appraisals of illness/caregiving, less uncertainty and hopelessness, less avoidant coping strategies, more family support, more health behaviors, higher self-efficacy, and more active coping strategies., Conclusion: Our study highlights the significant impact that advanced cancer has on patients and their caregivers' perceptions, responses to the illness, and QOL. It also highlights that effective interventions may need to target illness/caregiving appraisals, uncertainty, hopelessness, family support, health behaviors, self-efficacy, and coping strategies tailored to patient and caregiver needs., Competing Interests: Declarations Competing Interests The authors have no relevant financial or non-financial interests to disclose.

Objective : To investigate the major depressive disorder (MDD) and its related factors in Inner Mongolia Autonomous Region. Methods : The multistage stratified sampling method with unequal probability was used to select permanent residents aged 18 years and above for face-to-face interview. The Composite International Diagnostic Interview 3.0 was used as a diagnostic tool. The diagnosis of MDD was based on the Diagnostic and Statistical Manual of Mental Disorders Fourth Edition (DSM-IV) and the Tenth Revision of the International CIassification of Diseases (ICD-10) . Results : Totally 12 315 individuals were interviewed. Weighted 12-month prevalence of MDD was 3.1%. By fitting a two-level empty model analysis,the intra-class correlation coefficient was 0.10. Final model results showed that female (OR=1.46,95% CI : 1.03-2.08),unmarried (OR=2.76,95% CI : 1.35-5.67),separated and divorced (OR=2.98,95% CI : 1.40-6.36),unemployed (OR=2.50,95% CI : 1.52-4.11),low-income level (OR=1.88,95% CI : 1.21-2.91),daily drinking (OR=1.95,95% CI : 1.03-3.69) and chronic disease (OR=4.47,95% CI : 3. 03-6. 57) were the risk factors of MDD. Aged 65 and over (OR=0. 39,95% CI : 0. 20-0. 75),junior high school (OR=0. 47,95% CI : 0. 29-0. 75) and high school or secondary specialized school (OR=0. 43,95% CI : 0. 26-0. 72) were the protective factors of MDD. Conclusion : It indicates that female residents and those who are unemployed,with unstable marital status,low-income level,daily drinking and chronic disease are more likely to suffer from major depressive disorder. [ABSTRACT FROM AUTHOR]

Forest height is an essential parameter used to derive important information about forest ecosystems, such as forest above-ground biomass. In this article, a forest height estimation approach combining P-band and X-band interferometric synthetic aperture radar (InSAR) was introduced. The forest height was estimated using the difference in the penetration of long- and short-wavelength radars to the forest. That is, the P-band and X-band InSAR data were used to extract the digital terrain model (DTM) and digital surface model (DSM), respectively. For the DTM, an improved time-frequency (TF) analysis method was used to reduce the effect of forest scatterers on the extraction of a pure understory terrain phase based on P-band InSAR. For the DSM, a novel compensation algorithm based on a multi-layer model (MLM) was proposed to remove the penetration bias of the X-band. Compared to the existing method based on the infinitely deep uniform volumes (IDUV) model, the MLM-based method is more in line with the characteristics of forest structure and the scattering mechanism for X-band InSAR. The airborne P-band repeat-pass InSAR and spaceborne X-band (TanDEM-X) single-pass InSAR data were used to verify the proposed method over the study area in the Saihanba Forest Farm in Hebei, China. The results demonstrated that the improved TF method can achieve high-precision DTM extraction based on P-band InSAR data, and the root mean square error (RMSE) was 0.94 m. The proposed MLM-based compensation method of the DSM achieved a smaller error (RMSE: 1.67 m) compared to the IDUV-based method (RMSE: 3.01 m). Under the same DTM extracted by P-band InSAR, the estimation accuracy of forest height based on the MLM method was 86.58% (RMSE: 1.81 m), which was 8.49% higher than that of the IDUV-based method (RMSE: 2.98 m). [ABSTRACT FROM AUTHOR]

Treatment noncompliance often occurs in longitudinal randomized controlled trials (RCTs) on human subjects, and can greatly complicate treatment effect assessment. The complier average causal effect (CACE) informs the intervention efficacy for the subpopulation who would comply regardless of assigned treatment and has been considered as patient‐oriented treatment effects of interest in the presence of noncompliance. Real‐world RCTs evaluating multifaceted interventions often employ multiple study endpoints to measure treatment success. In such trials, limited sample sizes, low compliance rates, and small to moderate effect sizes on individual endpoints can significantly reduce the power to detect CACE when these correlated endpoints are analyzed separately. To overcome the challenge, we develop a multivariate longitudinal potential outcome model with stratification on latent compliance types to efficiently assess multivariate CACEs (MCACE) by combining information across multiple endpoints and visits. Evaluation using simulation data shows a significant increase in the estimation efficiency with the MCACE model, including up to 50% reduction in standard errors (SEs) of CACE estimates and 1‐fold increase in the power to detect CACE. Finally, we apply the proposed MCACE model to an RCT on Arthritis Health Journal online tool. Results show that the MCACE analysis detects significant and beneficial intervention effects on two of the six endpoints while estimating CACEs for these endpoints separately fail to detect treatment effect on any endpoint. [ABSTRACT FROM AUTHOR]

Abstract Background HIV/AIDS has transformed into a chronic controllable but not yet curable infectious disease as other chronic diseases to some extent. The additional of so called fourth 90% that included the improved health-related quality of life (HRQoL) for people living with HIV (PLWHIV) required solutions beyond antiretroviral therapy and viral load suppression. This study will explore the role of personality, social economic and prevention strategy effection on HRQoL among people living with HIV/AIDS. Methods A cross-sectional study was conducted among PLWHIV aged more than 16 years old in the 10 municipalities in Yunnan Province, China from October 2019 to May 2020, enrolling total 1997 participants. Individual-level HRQoL data were measured by 12-item Short Form Health Survey (SF-12) and EuroQol Five Dimensions Questionnaire (EQ-5D-5L). We assembled municipal-level data about social economic from Yunnan Statistical Yearbook in 2020 and strategy practice information from the self-evaluation system. We used the principal component analysis to build the social economic and strategy effect on each area respectively and one-way ANOVA was used to perform univariate analysis to identify the predictors with significant differences. Finally we used multi-level model (MLM) to explore the personality, social economic and strategy effects in health-related quality of life among PLWHIV. Results The global score for quality of life measured using EQ-5D-5L had an estimated mean score (standard deviation, SD) of 0.901 ± 0.146. The HRQoL score measured using PCS-12 had an estimated mean score (SD) of 46.62 ± 8.55. The mean MCS-12 score (SD) was estimated to be 47.80 ± 9.71. The area-level predictors explained a proportion of 13.6–17.2% for the between-area variation of the HRQoL scores, regardless of the total HRQoL, physical component and mental component. The impacts of stigma (P

Neighborhood context can change the effect of a socio-demographic attribute on the risk of suicide. Eight hypotheses about the interactions between neighborhood composition, ethnicity, income, and socially disadvantaged propositions are proposed based on social support, social comparison, and social regulation mechanisms. They are tested with a population-based dataset of all adults (1.4 million) who lived in the greater Stockholm area in the 1990s. On one hand, multilevel analysis shows that suicide risk increases with the level of affluence in one's neighborhood, particularly among individuals with low income. This supports the notion that income comparison can have negative consequences. On the other hand, social welfare recipients are less likely to commit suicide when there are other social welfare recipients in the neighborhood. Suicide risk among immigrants deceases with the proportion of co-ethnics in the neighborhood, confirming previous findings on social support and suicide. However, further analyses show that the protection effect of having co-ethnic neighbors is limited to immigrants from countries with low suicide rates. This study shows that administrative data can be used to examine neighborhood effects on rare outcomes. The findings are relevant to the contemporary trends towards rising income inequality and ethnic diversity.

• Study construction service scheduling with fairness on platforms for the first time. • Define fairness, as pricing and solution fairness, and its evaluation indicator. • A multi-level model and an algorithm is proposed to offer fair prices and solution. • The proposed approach outperforms other models and algorithms in terms of fairness. Advancements of electronic platforms in construction industry makes it possible for construction service scheduling (CSS). However, fairness concerns in CSS, such as unfairness in scheduling solutions due to information asymmetry, remains inadequately addressed among existing studies. This study proposes a fairness scheduling model that considers the preferences of participants. According to real engineering practices, a multi-level CSS model with 12 objectives is established by thoroughly considering participants' preferences, aiming to deliver equitable prices and CSS solutions. In solving the model, a clustering operation considering price fairness and inheritance operation considering participants' preferences are designed for the developed evolutionary algorithm. Finally, a simulated case study derived from a real-world construction project demonstrates the effectiveness of the proposed model and algorithm. The results show the superior performance of the proposed model, as it recommends fairer prices and solutions to the CSS problem over the five comparator models. Meanwhile, the proposed algorithm offers more fair solutions with better comprehensive performance than the NSGA3, MOEA/D, MOEA/DD, and RVEA algorithms. This study can be extended to scheduling fairness issues in other fields (e.g., e-commerce, cloud manufacturing, and energy trading), while providing references for researches on service scheduling. [ABSTRACT FROM AUTHOR]

Gender equality in leadership positions is important for sport organizations to achieve economic and social sustainability. Based on a multi-level framework, this study examines spillover effects from economic and social state-level factors in sport organizations' environment on critical masses of women on their boards (in terms of share and numbers) and board gender diversity (reflected by different types of boards). Data of national and regional sport governing bodies in Germany were collected (n = 930), with variables capturing organizational characteristics (e.g., board composition) and economic and social factors at the state level. The results of regression analyses show that women's attainment in tertiary education increases the likelihood of a critical mass of at least 30% women on the board, and a higher divorce rate increases the likelihood of a critical mass of three women on the board. Sport organizations in states with a higher gender wage gap are more likely to have balanced boards, indicating that volunteering might be a substitute to paid work. The findings suggest that the presence of women in sport leadership is affected by economic and social conditions in the organizations' geographical surroundings and that spillover effects occur from the state level to the organizational level. [ABSTRACT FROM AUTHOR]

Background defining features of the COVID-19 pandemic in many countries were the tragic extent to which care home residents were affected and the difficulty in preventing the introduction and subsequent spread of infection. Management of risk in care homes requires good evidence on the most important transmission pathways. One hypothesised route at the start of the pandemic, prior to widespread testing, was the transfer of patients from hospitals that were experiencing high levels of nosocomial events. Methods we tested the hypothesis that hospital discharge events increased the intensity of care home cases using a national individually linked health record cohort in Wales, UK. We monitored 186,772 hospital discharge events over the period from March to July 2020, tracking individuals to 923 care homes and recording the daily case rate in the homes populated by 15,772 residents. We estimated the risk of an increase in case rates following exposure to a hospital discharge using multi-level hierarchical logistic regression and a novel stochastic Hawkes process outbreak model. Findings in regression analysis, after adjusting for care home size, we found no significant association between hospital discharge and subsequent increases in care home case numbers (odds ratio: 0.99, 95% CI: 0.82, 1.90). Risk factors for increased cases included care home size, care home resident density and provision of nursing care. Using our outbreak model, we found a significant effect of hospital discharge on the subsequent intensity of cases. However, the effect was small and considerably less than the effect of care home size, suggesting the highest risk of introduction came from interaction with the community. We estimated that approximately 1.8% of hospital discharged patients may have been infected. Interpretation there is growing evidence in the UK that the risk of transfer of COVID-19 from the high-risk hospital setting to the high-risk care home setting during the early stages of the pandemic was relatively small. Although access to testing was limited to initial symptomatic cases in each care home at this time, our results suggest that reduced numbers of discharges, selection of patients and action taken within care homes following transfer all may have contributed to the mitigation. The precise key transmission routes from the community remain to be quantified. [ABSTRACT FROM AUTHOR]

In the realm of behavioral interventions, a combined approach of yoga and a cognitive-behavioral strategy in the form of introspective meditation (manan-dhyana) may offer benefits as a stress management tool. This pilot study focuses on introspective meditation performed before seeking pleasurable activities, which is a self-reflection about whether to pursue a goal that will bring sensory pleasure in life. A non-probability sample of college students was recruited from a mid-sized Southern University of the United States using a 52-items web-based survey built in Qualtrics. Univariate, bivariate, and multivariate statistics were used to analyze data. Of total 65 students, only 21.5% students reported being engaged in the introspective meditation. The sample constituted predominantly females (75.4%), White (64.6%), and undergraduate students (87.7%). The proportions of anxiety, depression, and moderate/high stress were 50.8%, 40.0%, 86.1% respectively. In the hierarchical regression for initiation, the final model explained nearly 21.1% of variance in initiating introspective meditation among participants (n = 51) who had not been practicing it. With each unit increment in subscales of initiation (i.e., changes in physical environment), the conditional mean for initiating introspective meditation behavior increased by 0.373 units. In the hierarchical regression for sustenance, the final model explained nearly 50.5% of variance in sustaining introspective meditation behavior among participants (n = 51) who had not been practicing it. With each unit increment in subscales of sustenance (i.e., emotional transformation), the conditional mean for sustaining introspective meditation behavior increased by 0.330 units. This study can pave a way for designing interventions for college students to promote introspective meditation directed toward seeking pleasurable activities before engaging in them. This has implications for the reduction of stress as well as a preemptive measure for sexual risk-taking, indulgence in maladaptive behaviors such as smoking, vaping, alcohol, and substance use. [ABSTRACT FROM AUTHOR]

Cognitive aging researchers have been challenged with demonstrating age-related effects above and beyond global slowing ever since Cerella raised this issue in 1990. As the literature has made clear, this has indeed proved to be a difficult task and continues to plague the field. One way that researchers have attempted to test for disproportionate age differences across task conditions is by using Brinley plots, or plotting the mean response latencies of older adults against the mean latencies for younger adults. The simplicity and large proportion of variance accounted for by these models has led to the widespread use of Brinley plots over the years. However, as systematically tested here through eight cases of simulated data, it is clear that the Brinley technique is not well suited to either identify or display the underlying structure of datasets examining age-related differences in attentional control. Some of the problems with conventional Brinley plots can be resolved by using a modified Brinley plot that includes study-specific slopes linking trial types and a no-age-difference reference line. Multilevel models find all of the relevant effects, especially if applied to trial-level data, and have the advantage of incorporating study-level moderators that might account for slope heterogeneity. Ultimately, we encourage fellow cognitive aging researchers to access the code and data for this project on OSF (https://osf.io/zxus8/) and employ the use of multilevel models over Brinley plots. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Zhejiang University: Science A is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

A rich body of literature is stressing the crucial importance of migration and market evolution on the underutilization of housing in cities. Rural housing is unique given its less mature market structure. Drawing on an empirical case of Sunan, the work reported in this paper addresses underlying mechanisms of housing land underutilization in rural China. Employing a multi-level modeling approach, results suggest that the likelihood of underutilization relates to household and village features, such as family attributes, housing/parcel characteristics, type of villages, and geographical locations. Additionally, underutilization was also closely associated with regional contexts including local economic development levels and migration patterns. Theoretically, we conceptualized rural housing land underutilization as a land use transition with villagers' awareness of policy change possibilities in the context of both rapid urbanization and rural transformation with nested hybrid results. We argue that urban-rural differences do not induce underutilization. Rather, policy-induced overbuilding of new houses and insistence on retaining uninhabited older houses combined with the tendency for villagers' to view investments as a mechanism to retain ties to their rural hometowns drove underutilizaiton. • We propose a multi-scalar analytical framework on the underutilization of rural housing land. • We identify the nested impacts of factors at different levels on the utility of rural housing land. • The dualistically organized regime is argued as the primary driver of housing land underutilization in rural China. • The transition of rural space from productivism to post-productivism matters as well. [ABSTRACT FROM AUTHOR]

Background: Distress intolerance (DI) is a well-established cognitive-affective factor that reflects the inability to tolerate negative emotional experiences. DI has been consistently linked with post-traumatic stress disorder (PTSD) but no research to date has demonstrated whether DI confers pre-existing risk for PTSD-like symptoms following an analogue trauma. Methods: Participants (n = 70) were recruited based on either a history of traumatic brain injury (TBI) or elevations on a related emotional vulnerability. After completing self-report measures, participants watched a film depicting life-threatening car accidents and then monitored the occurrence of intrusions. Ambulatory assessments of film-related traumatic intrusions were then reported 3x/day for 7 days. Results: As hypothesized, greater DI predicted a poorer ability to volitionally suppress intrusions during the lab-based monitoring period. DI also predicted greater naturalistic intrusions on average throughout the subsequent week, and this difference was largest at the beginning of the follow-up period. Unexpectedly, DI did not predict the trajectory (i.e., slope) of naturalistic intrusions during the follow-up period. TBI status was also not related to intrusions during the follow-up period. Conclusions: These findings provide critical support for DI as a pre-existing risk factor for the development of intrusive thoughts following an analogue trauma. Future research should seek to extend these findings to a clinical sample. [ABSTRACT FROM AUTHOR]

The use of spectral proper orthogonal decomposition (SPOD) to construct low-order models for broadband turbulent flows is explored. The choice of SPOD modes as basis vectors is motivated by their optimality and space-time coherence properties for statistically stationary flows. This work follows the modeling paradigm that complex nonlinear fluid dynamics can be approximated as stochastically forced linear systems. The proposed stochastic two-level SPOD-Galerkin model governs a compound state consisting of the modal expansion coefficients and forcing coefficients. In the first level, the modal expansion coefficients are advanced by the forced linearized Navier-Stokes operator under the linear time-invariant assumption. The second level governs the forcing coefficients, which compensate for the offset between the linear approximation and the true state. At this level, least squares regression is used to achieve closure by modeling nonlinear interactions between modes. The statistics of the remaining residue are used to construct a dewhitening filter that facilitates the use of white noise to drive the model. If the data residue is used as the sole input, the model accurately recovers the original flow trajectory for all times. If the residue is modeled as stochastic input, then the model generates surrogate data that accurately reproduces the second-order statistics and dynamics of the original data. The stochastic model uncertainty, predictability, and stability are quantified analytically and through Monte Carlo simulations. The model is demonstrated on large eddy simulation data of a turbulent jet at Mach number M = 0.9 and Reynolds number Re D ≈ 10 6 . [ABSTRACT FROM AUTHOR]

Cognitive aging researchers have been challenged with demonstrating age-related effects above and beyond global slowing ever since Cerella raised this issue in 1990. As the literature has made clear, this has indeed proved to be a difficult task and continues to plague the field. One way that researchers have attempted to test for disproportionate age differences across task conditions is by using Brinley plots, or plotting the mean response latencies of older adults against the mean latencies for younger adults. The simplicity and large proportion of variance accounted for by these models has led to the widespread use of Brinley plots over the years. However, as systematically tested here through eight cases of simulated data, it is clear that the Brinley technique is not well suited to either identify or display the underlying structure of datasets examining age-related differences in attentional control. Some of the problems with conventional Brinley plots can be resolved by using a modified Brinley plot that includes study-specific slopes linking trial types and a no-age-difference reference line. Multilevel models find all of the relevant effects, especially if applied to trial-level data, and have the advantage of incorporating study-level moderators that might account for slope heterogeneity. Ultimately, we encourage fellow cognitive aging researchers to access the code and data for this project on OSF (https://osf.io/zxus8/) and employ the use of multilevel models over Brinley plots.

Copyright of Filosofija, Sociologija is the property of Lithuanian Academy of Sciences Publishers and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background: HIV/AIDS has transformed into a chronic controllable but not yet curable infectious disease as other chronic diseases to some extent. The additional of so called fourth 90% that included the improved health-related quality of life (HRQoL) for people living with HIV (PLWHIV) required solutions beyond antiretroviral therapy and viral load suppression. This study will explore the role of personality, social economic and prevention strategy effection on HRQoL among people living with HIV/AIDS. Methods: A cross-sectional study was conducted among PLWHIV aged more than 16 years old in the 10 municipalities in Yunnan Province, China from October 2019 to May 2020, enrolling total 1997 participants. Individual-level HRQoL data were measured by 12-item Short Form Health Survey (SF-12) and EuroQol Five Dimensions Questionnaire (EQ-5D-5L). We assembled municipal-level data about social economic from Yunnan Statistical Yearbook in 2020 and strategy practice information from the self-evaluation system. We used the principal component analysis to build the social economic and strategy effect on each area respectively and one-way ANOVA was used to perform univariate analysis to identify the predictors with significant differences. Finally we used multi-level model (MLM) to explore the personality, social economic and strategy effects in health-related quality of life among PLWHIV. Results: The global score for quality of life measured using EQ-5D-5L had an estimated mean score (standard deviation, SD) of 0.901 ± 0.146. The HRQoL score measured using PCS-12 had an estimated mean score (SD) of 46.62 ± 8.55. The mean MCS-12 score (SD) was estimated to be 47.80 ± 9.71. The area-level predictors explained a proportion of 13.6–17.2% for the between-area variation of the HRQoL scores, regardless of the total HRQoL, physical component and mental component. The impacts of stigma (P < 0.01), social support (P < 0.001), anxiety (P < 0.001), depression (P < 0.05) and social economic status (P < 0.05) on HRQoL at the individual-level were significantly different. The plots visualized the impact of individual-level factors on a respondent's HRQoL was modified by the area-level characteristics. Conclusions: The study identified the possible strategy determinant of individual HRQoL of PLWHIV and also the area effect on HRQoL. Stigma, social support, anxiety, depression and social economic status were the individual-level determinants on HRQoL. These could be a valuable resource for evaluating the overall health of the areas and help improve local decision making. [ABSTRACT FROM AUTHOR]

Reducing dropout rates is a major issue in Cambodia. This study examined the effects of school-level and student-level factors on dropout in rural Cambodian primary schools. We collected data of the same students over 3 years by visiting the same school. We used questionnaires for students and parents, checklists of school facilities, checklists of teacher characteristics and Khmer language and mathematics tests achievement as research tools. We found that the effect size of the school was small: students who dropped out had similar characteristics – even when dropout rates varied among schools. At the school level, teacher absence in both cohorts, mean interaction with teachers in higher-grade cohorts, and mean test achievement in lower-grade cohorts were significantly associated with dropout. At the student level, age at first school entry in both cohorts were significantly associated with dropout. In cohort 1, gender, relative achievement in class, parental educational attainment, economic status, parents' educational aspiration, and school distance were related to dropout. In cohort 2, repetition experience, absence, educational aspiration, teacher interaction, living with parents, and time spent helping the family were related to dropout. Reducing teacher absence and late school entry were key factors of preventing from dropping out of school. [ABSTRACT FROM AUTHOR]

Glucose homeostasis is the tight control of glucose in the blood. This complex control is important, due to its malfunction in serious diseases like diabetes, and not yet sufficiently understood. Due to the involvement of numerous organs and sub-systems, each with their own intra-cellular control, we have developed a multi-level mathematical model, for glucose homeostasis, which integrates a variety of data. Over the last 10 years, this model has been used to insert new insights from the intra-cellular level into the larger whole-body perspective. However, the original cell-organ-body translation has during these years never been updated, despite several critical shortcomings, which also have not been resolved by other modeling efforts. For this reason, we here present an updated multi-level model. This model provides a more accurate sub-division of how much glucose is being taken up by the different organs. Unlike the original model, we now also account for the different dynamics seen in the different organs. The new model also incorporates the central impact of blood flow on insulin-stimulated glucose uptake. Each new improvement is clear upon visual inspection, and they are also supported by statistical tests. The final multi-level model describes >300 data points in >40 time-series and dose-response curves, resulting from a large variety of perturbations, describing both intra-cellular processes, organ fluxes, and whole-body meal responses. We hope that this model will serve as an improved basis for future data integration, useful for research and drug developments within diabetes.

This article examines party sorting, elite cue and ideological polarization accounts of polarization dynamics. The study tests their differing expectations about trends in redistributive ideological polarization and partisan polarization in the British case using repeated cross-section and panel data. The authors reject party sorting accounts, which require ideology to be stable and changes in party support to drive partisan polarization, because they find that ideology trends with elite polarization and that ideological change causes partisan polarization. The authors reject elite cue accounts, which maintain that it is mainly partisans' ideology that follows elite polarization, because they find virtually identical trends for initially ideologically similar non-partisans too. The study thus finds support for an ideological polarization account in which changes in elite polarization are associated with general changes in citizen redistributive ideology. [ABSTRACT FROM AUTHOR]

Copyright of Boğaziçi Journal: Review of Social, Economic & Administrative Studies is the property of Bogazici University, Faculty of Economics & Administrative Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Glucose homeostasis is the tight control of glucose in the blood. This complex control is important, due to its malfunction in serious diseases like diabetes, and not yet sufficiently understood. Due to the involvement of numerous organs and sub-systems, each with their own intra-cellular control, we have developed a multi-level mathematical model, for glucose homeostasis, which integrates a variety of data. Over the last 10 years, this model has been used to insert new insights from the intra-cellular level into the larger whole-body perspective. However, the original cell-organ-body translation has during these years never been updated, despite several critical shortcomings, which also have not been resolved by other modeling efforts. For this reason, we here present an updated multi-level model. This model provides a more accurate sub-division of how much glucose is being taken up by the different organs. Unlike the original model, we now also account for the different dynamics seen in the different organs. The new model also incorporates the central impact of blood flow on insulin-stimulated glucose uptake. Each new improvement is clear upon visual inspection, and they are also supported by statistical tests. The final multi-level model describes >300 data points in >40 time-series and dose-response curves, resulting from a large variety of perturbations, describing both intra-cellular processes, organ fluxes, and whole-body meal responses. We hope that this model will serve as an improved basis for future data integration, useful for research and drug developments within diabetes. [ABSTRACT FROM AUTHOR]

Abstract Background Active travel for utilitarian purposes contributes to total physical activity and may help counter the obesity epidemic. However, the evidence linking active travel and individual-level body weight is equivocal. Statistical modeling that accounts for spatial autocorrelation and unmeasured spatial predictors has not yet used to explore whether the health benefits of active travel are shared equally across socioeconomic groups. Methods Bayesian hierarchical models with spatial random effects were developed using travel survey data from Saskatoon, Canada (N = 4625). Differences in log-transformed body mass index (BMI) were estimated for levels of active travel use (vehicular travel only, mixed vehicular/active travel, and active travel only), household income, and neighbourhood deprivation after controlling for sociodemographic and physical activity variables. The modifying effect of household income on the association between active travel and BMI was also evaluated. Results Significant and meaningful decreases in BMI were observed for mixed (β = − 0.02, CrI − 0.036 to − 0.004) and active only (β = − 0.043, CrI − 0.06 to − 0.025) compared to vehicular only travelers. BMI was significantly associated with levels of household income and neighbourhood deprivation. Accounting for the interaction between travel mode and household income, decreases in BMI were observed for active only compared to vehicular only travellers in the highest income category (β = − 0.061, CrI − 0.115 to − 0.007). Conclusion Strategies to increase active travel use can support healthy weight loss and maintenance, but the opportunity to benefit from active travel use may be limited by low income. Considerations should be given to how interventions to increase active transportation might exacerbate social inequalities in BMI. Spatial statistical models are needed to account for unmeasured but spatially structured neighbourhood factors.

Forest height is an essential parameter used to derive important information about forest ecosystems, such as forest above-ground biomass. In this article, a forest height estimation approach combining P-band and X-band interferometric synthetic aperture radar (InSAR) was introduced. The forest height was estimated using the difference in the penetration of long- and short-wavelength radars to the forest. That is, the P-band and X-band InSAR data were used to extract the digital terrain model (DTM) and digital surface model (DSM), respectively. For the DTM, an improved time-frequency (TF) analysis method was used to reduce the effect of forest scatterers on the extraction of a pure understory terrain phase based on P-band InSAR. For the DSM, a novel compensation algorithm based on a multi-layer model (MLM) was proposed to remove the penetration bias of the X-band. Compared to the existing method based on the infinitely deep uniform volumes (IDUV) model, the MLM-based method is more in line with the characteristics of forest structure and the scattering mechanism for X-band InSAR. The airborne P-band repeat-pass InSAR and spaceborne X-band (TanDEM-X) single-pass InSAR data were used to verify the proposed method over the study area in the Saihanba Forest Farm in Hebei, China. The results demonstrated that the improved TF method can achieve high-precision DTM extraction based on P-band InSAR data, and the root mean square error (RMSE) was 0.94 m. The proposed MLM-based compensation method of the DSM achieved a smaller error (RMSE: 1.67 m) compared to the IDUV-based method (RMSE: 3.01 m). Under the same DTM extracted by P-band InSAR, the estimation accuracy of forest height based on the MLM method was 86.58% (RMSE: 1.81 m), which was 8.49% higher than that of the IDUV-based method (RMSE: 2.98 m).

This paper investigates, using a multi-product paradigm, the market structure of the Iranian banking sector to evaluate the role of scale. In so doing, we checked for economies of scope by multi-product cost function as well as the impact of potential economies on the banking sector structure including 18 banks during the period 2008–2014. The changes in Panzar-Rosse H-Statistic as a result of the variety in products reflect changes in the monopolistic power. The results show that an increase in the variety of offered products increases banks’ monopolistic power.

Background and Aims: Obesity has been linked to the development of hypertension, but the comparison of relationships between different obesity parameters with hypertension are scarcely studied with nationally representative Chinese adults samples. We sought to compare the predictive strengths of different obesity indicators to hypertension.Methods and Results: Data in this study were obtained from the Chinese National Stroke Prevention Project with a nationally representative sample of Chinese aged 40 years and older. A total of 162,880 individuals were included. Multi-level analyses and Receiver Operating Characteristic (ROC) curves were used to examine the risk of hypertension in relation to different obesity parameters, including body mass index (BMI), waist circumference (WC), lipid accumulation product index (LAP), visceral adiposity index (VAI), and body adiposity index (BAI). As results, the BMI, WC, LAP, VAI, and BAI were positively associated with the risk of hypertension (P < 0.001). In total, BMI had the strongest association with hypertension when compared with other obesity indicators, and one SD up of BMI would increase the risk of hypertension by 53.9% (95% CI: 1.514-1.566). For men, WC was most associated with hypertension, and one SD up of WC would increase the risk of hypertension by 73.3% (95% CI: 1.685-1.782). For women, BMI showed the strongest predictive power, one SD up of BMI would increase the risk of hypertension by 51.0% (95% CI: 1.479-1.543).Conclusions: BMI, WC, LAP, VAI, and BAI are all positively corrected to hypertension, but gender disparities should be considered in predicting hypertension by obesity indicators. [ABSTRACT FROM AUTHOR]

In the realm of behavioral interventions, a combined approach of yoga and a cognitive-behavioral strategy in the form of introspective meditation (manan-dhyana) may offer benefits as a stress management tool. This pilot study focuses on introspective meditation performed before seeking pleasurable activities, which is a self-reflection about whether to pursue a goal that will bring sensory pleasure in life. A non-probability sample of college students was recruited from a mid-sized Southern University of the United States using a 52-items web-based survey built in Qualtrics. Univariate, bivariate, and multivariate statistics were used to analyze data. Of total 65 students, only 21.5% students reported being engaged in the introspective meditation. The sample constituted predominantly females (75.4%), White (64.6%), and undergraduate students (87.7%). The proportions of anxiety, depression, and moderate/high stress were 50.8%, 40.0%, 86.1% respectively. In the hierarchical regression for initiation, the final model explained nearly 21.1% of variance in initiating introspective meditation among participants (n = 51) who had not been practicing it. With each unit increment in subscales of initiation (i.e., changes in physical environment), the conditional mean for initiating introspective meditation behavior increased by 0.373 units. In the hierarchical regression for sustenance, the final model explained nearly 50.5% of variance in sustaining introspective meditation behavior among participants (n = 51) who had not been practicing it. With each unit increment in subscales of sustenance (i.e., emotional transformation), the conditional mean for sustaining introspective meditation behavior increased by 0.330 units. This study can pave a way for designing interventions for college students to promote introspective meditation directed toward seeking pleasurable activities before engaging in them. This has implications for the reduction of stress as well as a preemptive measure for sexual risk-taking, indulgence in maladaptive behaviors such as smoking, vaping, alcohol, and substance use.