The Mass Emigration Context of Lithuania: Patterns and Policy Options

Lithuania represents one of the rare cases in which a state with relatively high standards for maintaining population statistics is experiencing mass emigration. In light of the policy initiatives undertaken by the Lithuanian government to address the issue of emigration, this study aims to improve our understanding of how, in this mass emigration context, emigration events are connected to specific socio‐economic characteristics of individuals and variation in local socio‐economic conditions. We analyse census and vital registration data covering the whole working‐age population of Lithuania during the period 2011‐2012. Our findings indicate that when assessing the likelihood of emigration events, individual‐level characteristics such as employment status, educational attainment, and prior migration experience are highly relevant. However, the importance of these characteristics differs by gender. We also detect considerable spatial variation in emigration rates across Lithuanian municipalities. Our outcomes provide new insights for the development of cohesive migration policies in Lithuania.     

Pitirim Sorokin Studies in Russia in the Context of the New Section on Altruism, Morality, and Social Solidarity in the American Sociological Association

The formation of the Altruism, Morality, and Social Solidarity section in the American Sociological Association opens a new page in studying Pitirim Sorokin’s intellectual inheritance and his contribution to this field. At the same, this event also lays a new ground for Sorokin studies in Russia. How these two processes are connected, and why organizational change in the American Sociological Association might have an impact on the development of sociology in Russia, are addressed in this article. Pitirim Sorokin studies are overviewed in the context of changes in Russian sociology since the 1990s.     

Does state spending on mental health lower suicide rates?

Using recently released data on public mental health expenditures by U.S. states from 1997 to 2005, this study is the first to examine the effect of state mental health spending on suicide rates. We find the effect of per capita public mental health expenditures on the suicide rate to be qualitatively small and lacking statistical significance. This finding holds across different estimation techniques, gender, and age groups. The estimates suggest that policies aimed at income growth, divorce prevention or support, and assistance to low income individuals could be more effective at suicide prevention than state mental health expenditures.     

Determining the minimum duration of treatment in tuberculosis: An order restricted non-inferiority trial design

Tuberculosis (TB) is one of the biggest killers among infectious diseases worldwide. Together with the identification of drugs that can provide benefits to patients, the challenge in TB is also the optimisation of the duration of these treatments. While conventional duration of treatment in TB is 6 months, there is evidence that shorter durations might be as effective but could be associated with fewer side effects and may be associated with better adherence. Based on a recent proposal of an adaptive order-restricted superiority design that employs the ordering assumptions within various duration of the same drug, we propose a non-inferiority (typically used in TB trials) adaptive design that effectively uses the order assumption. Together with the general construction of the hypothesis testing and expression for type I and type II errors, we focus on how the novel design was proposed for a TB trial concept. We consider a number of practical aspects such as choice of the design parameters, randomisation ratios, and timings of the interim analyses, and how these were discussed with the clinical team.     

The social role of alcohol in Russian culture

The year 1995 marks the tenth anniversary of the beginning of perestroika in Russia. The country has paid with its health for all the social, economic and political reforms. The chronic state of social stress, which is already in its tenth year, has led to a sharp growth in alcoholism and drug addiction, an increasing prevalence of neurosis and psychosomatic diseases and an increase in the death rate and decrease in the birth rate. This is the degeneration of the Russian nation. Alcohol stimulates and alcoholism indicates the process of self-destruction of the population. Unfortunately, there are no accurate statistics on alcohol consumption and problems in Russia today, as there is no state monopoly on alcohol production and sale and no common drug treatment service for the whole country. According to generalized estimates from epidemiological investigations, the average prevalence of alcoholism is 200–250 per 1000 adults, but this differs significantly in different professional groups: 10% of the workers in the nuclear energy industry suffer from alcoholism, 35% of the sailors, 22% of the workers in the machine-tool industry and 42% of the people working in the woodworking industry. There is one woman alcoholic for each 5 men. On average, only 1 of every 7 alcoholics seeks medical and social aid. The main cause of alcoholism is alcoholism itself -its uncontrolled and expanding reproduction. The investigation of alcoholism is being intensively removed from the clinical to the social sphere. It can be explained by understanding the role of social and psychological factors in the origin and development of alcoholism and the harsh socio-economic consequences and moral damage. The appearance of a new class of specialists - social workers - in Russia in 1991 was predetermined by these factors. The main objective of social workers is to fight social diseases and alcoholism in particular as the most terrible social disease of the Russian Federation. The history and place of alcohol in modern Russian culture, the stages and forms of the development of alcoholism and its ethnocultural peculiarities in different social strata of the population are described in this article. The reasons for and consequences of alcoholism are systematized, and the principles and directions of the activity of the social services in dealing with the treatment of alcoholism and rehabilitation of the diseased are defined.     

Policing cities: Incivility,disorder, and societal transformations

Over the past 30 years, we have been witnessing a rise in incivility policing across western but also non-western cities. The term “incivility policing” refers to bans and exclusion aimed at drinking alcohol, begging, loitering, sitting in public, and many other kinds of subcriminal conduct. Scholars have observed an increasing readiness to demand legal “solutions” aimed against these kinds of conduct. In this paper, I review two major strands of scholarship dealing with the origins of these calls: First, a rising punitiveness and a “law and order” mentality, inspired by the Broken windows theory and Zero tolerance policies. Second, privatization of space and the rising influence of private actors over public spaces are discussed with references to the concepts of neoliberalism, revanchism, and the right to the city. The effect of incivility policing on vulnerable groups is examined using the example of homeless people in public space. In the final part, I suggest new factors which could help us understand the rise in incivility policing: These include general trust, everyday trust, and the imaginaries of community.     

Exordium for DNA Codes

We describe how deletion-correcting codes may be enhanced to yield codes with double-strand DNA-sequence codewords. This enhancement involves abstractions of the pertinent aspects of DNA; it nevertheless ensures specificity of binding for all pairs of single strands derived from its codewords—the key desideratum of DNA codes– i.e. with binding feasible only between reverse complementary strands. We defer discussing the combinatorial-optimization superincumbencies of code construction. Generalization of deletion similarity to an optimal sequence-alignment score could readily effect advantageous improvements (Kaderali, Master's Thesis, Informatics, U. Köln, 2001) but would render the combinatorics opaque. We mention motivating applications of DNA codes.     

The newsvendor problem with advertising: an overview with extensions

The effect of advertising on sales has been the subject of recent studies as an important aspect in many demand-based problems. Herein, we deal with the newsvendor problem, due to its simple structure, as a suitable tool for illustrating how facets of marketing may affect decision-making concerning operational problems. In the setting presented, the newsvendor is faced with advertising-sensitive stochastic demand, where a demand-related random element comprises an advertising decision of the multiplicative or additive form. We assume that a suitable advertising strategy results in increased sales. Two advertising response functions are considered, these being concave downward and S-shaped. We review and extend the existing results relating to the newsvendor problem with marketing effects, which mostly pertain to the concave function. These are generalized by defining the S-shaped function, and some original insights into the effect of advertising are given. We establish that the optimal advertising expenditure for the multiplicative case is always less than or equal to the optimal amount in the equivalent deterministic model while it is always equal in the additive case. We finally illustrate the results that are obtained by providing numerical examples involving various advertising response functions, as well as management-related interpretations.     

Representing degree distributions, clustering, and homophily in social networks with latent cluster random effects models

Social network data often involve transitivity, homophily on observed attributes, community structure, and heterogeneity of actor degrees. We propose a latent cluster random effects model to represent all of these features, and we develop Bayesian inference for it. The model is applicable to both binary and non-binary network data. We illustrate the model using two real datasets: liking between monks and coreaderships between Slovenian publications. We also apply it to two simulated network datasets with very different network structure but the same highly skewed degree sequence generated from a preferential attachment process. One has transitivity and community structure while the other does not. Models based solely on degree distributions, such as scale-free, preferential attachment and power-law models, cannot distinguish between these very different situations, but the latent cluster random effects model does.