Promoting healthy transition to college through mindfulness training with first-year college students: Pilot randomized controlled trial

Objective: Given the importance of developmental transitions on young adults' lives and the high rates of mental health issues among U.S. college students, first-year college students can be particularly vulnerable to stress and adversity. This pilot study evaluated the effectiveness and feasibility of mindfulness training aiming to promote first-year college students' health and wellbeing. Participants: 109 freshmen were recruited from residential halls (50% Caucasian, 66% female). Data collection was completed in November 2014. Methods: A randomized control trial was conducted utilizing the Learning to BREATHE (L2B) program, a universal mindfulness program adapted to match the developmental tasks of college transition. Results: Participation in the pilot intervention was associated with significant increase in students' life satisfaction, and significant decrease in depression and anxiety. Marginally significant decrease was found for sleep issues and alcohol consequences. Conclusions: Mindfulness-based programs may be an effective strategy to enhance a healthy transition into college.     

Gender-related factors in family business succession: a systematic literature review

Review of Managerial Science - Succession is one of the most discussed topics in family business research. However, despite the changing professional and family roles of women and the growing...     

Threatened plant species in the river ports of Central Europe: a potential for nature conservation

Industrialized areas represent a special group of urbanized areas, but sufficient attention has not been given to them concerning plant species richness and its importance for biodiversity conservation. These sites are considered the main drivers of biological invasions and biotic homogenization on a global scale, but the question of how and to what degree they contribute to biodiversity has yet to be raised. Data for 62 river ports (16 German, 26 Czech, 7 Hungarian, 4 Slovak, and 9 Austrian) on two important Central European waterways (the Elbe-Vltava and Danube waterways) were gathered for 40 years. In total, 1 240 plant species were found. Of these, 371 were classified as threatened and protected, nearly one third of the total number of species found in all of the studied Elbe, Vltava, and Danube ports. Significant differences in the proportion of threatened species in ports and cities were not found. More threatened species were found in the Danube ports than in the other ports, but their numbers fluctuated depending on the size of the port and the region (country). The results showed that the ports must be regarded as special types of species-rich industrial areas; thus, they should not be considered to be only sources of spreading invasive alien species. When planning port development, uniformity and vegetation management that is too intensive should be avoided. Extensively managed open areas and habitat diversity should be maintained.

     

Large-scale commonness is the best predictor of bird species presence in European cities

Urban Ecosystems - Urban bird communities are homogenized across large spatial scales, suggesting that the urban environment acts as an environmental filter. We hypothesize that large scale...     

Bernoulli Processes with Non-Positive Correlations

We deal with sequences of dependent Bernoulli variables with non positive correlations. Some special models for 1-dependent and 2-dependent 0–1 valued variables are analyzed, namely Bernoulli variables obtained by clipping a linear combination of iid variables. Formulas describing dependence of their correlation function on the clipping parameters are derived. The lower bound for the sum of autocorrelations of Bernoulli variables obtained by clipping a Gaussian process is provided.     

Parental Leave Policies and Second Births: A Comparison of Czechia and Slovakia

Population Research and Policy Review - The paper investigates the transition to second births in Czechia and Slovakia in the context of the development of parental leave policies since the...     

Smuggled Versus Not Smuggled Across the Czech Border

The main goal of this paper is to analyze the spatial behavior of unauthorized migrants in their attempts to irregularly cross the Czech state's “green” border (including walking trails) into Austria and Germany, between 2005 and 2007. It demonstrates the importance of select demographic and human characteristics of the migrants, as well as the physical features of the environment, in their crossing. Our main premise concerning the importance of smuggling and the more sophisticated means and strategies employed among migrants using smugglers' services (vis‐à‐vis those without smugglers) was confirmed.     

Trajectories of Fertility and Household Composition in the Demographic Profile of the Czech Republic

The household composition matrix is a representation of the demographic structure of households, specific to age groups of household members and household heads. As such, the matrix reflects also the environmental conditions, housing in particular, that mould households' demographic structure. By specifically depicting the presence of children in households, household composition could be viewed as gauging fertility within the context of housing conditions. This stance is examined in an application to Czech census data for the year 1991, at the commencement of an intense process of socio-economic transformation that accompanied the collapse of communism across Eastern Europe. Within this process, housing had an inadvertent impact upon the structure of households in general, and upon fertility decline in particular. By using the standard matrix representation of household composition, correspondence between trajectories of age-specific fertility and household composition emerge throughout the Czech Republic. This correspondence illustrates the potential household composition analysis carries for fertility measurement and estimation in rapidly changing economic environments.     

Distributions of certain variables in samples from two-parameter exponential distribution

Cumulative distribution function of the variable Y=(U+c)/(Z/2ν)) is given. Here U and Z are independent random variables, U has the exponential distribution (1.1) with θ=0, σ=1, Z has the distribution χ² (2ν) and c is a real quantity. The variable Y with U and Z given by (2.2) and (2.3) is used for inference about the parametric functions ?=θ?kσ of a two-parameter exponential distribution (1.1) with k or ? known. Special cases of ? or k are: the parameter θ, the Pth quantile Xp, the mean θ+σ and the value of the cumulative distribution function or of the reliability function at given point a. Also one-sided tolerance limits for a two-parameter exponential distribution can be derived from the distribution of the variable Y. The results are also applied to the Pareto distribution.