How Do We Teach Economics?

The teaching of economics in Hungary has changed fundamentally since the 1980s for two main reasons. Firstly, the transformation towards a market economy has changed the needs of students, and secondly, there has been a move to harmonise Hungarian methods of teaching with Western ones. The number of institutions involved in economics education has increased substantially to meet new demand and these institutions offer a wide range of programs, though the topics covered tend to be more practically based than previously. A survey of students set out to evaluate economics as a profession by investigating social esteem, financial compensation, career prospects, and mobility within the profession. Amongst full-time students there was a strong correlation between the parents' background and the students' career prospects. Full-time students were more optimistic than part-time students, although the latter had a higher opinion of the academic level of their educational establishments. A second survey, this time of economics teachers, revealed the disturbing fact that teachers rated themselves in the last but one position according to social esteem and felt that society had a poor opinion of them. Fifty percent expressed a desire to leave the profession and 70% supplemented their income with work outside their school, rarely within the domain of economics. The final part of the research analysed the situation in private educational institutions, nothing that unemployment retraining grants offered by the Ministry of Labour have created an incentive for private entrepreneurs to organise courses and that the quality of these courses varies considerably.

Sorting through the garbage can: under what conditions do governments adopt policy programs?

The paper aims at explaining the adoption of policy programs. We use the garbage can model of organizational choice as our theoretical framework and complement it with the institutional setting of administrative decision-making in order to understand the complex causation of policy program adoption. Institutions distribute decision power by rules and routines and coin actor identities and their interpretations of situations. We therefore expect institutions to play a role when a policy window opens. We explore the configurative explanations for program adoption in a systematic comparison of the adoption of new alcohol policy programs in the Swiss cantons employing Qualitative Comparative Analysis. The most important conditions are the organizational elements of the administrative structure decisive for the coupling of the streams. The results imply that classic bureaucratic structures are better suited to put policies into practice than limited government.

Comparison of genetic gains per year for carcass traits among breeding programs in the Japanese Brown and the Japanese Black cattle

The breeding program for beef cattle in Japan has changed dramatically over 4 decades. Visual judging was done initially, but progeny testing in test stations began in 1968. In the 1980s, the genetic evaluation program using field records, so-called on-farm progeny testing, was first adopted in Oita, Hyogo, and Kumamoto prefectures. In this study, genetic trends for carcass traits in these 3 Wagyu populations were estimated, and genetic gains per year were compared among the 3 different beef cattle breeding programs. The field carcass records used were collected between 1988 and 2003. The traits analyzed were carcass weight, LM area, rib thickness, s.c. fat thickness, and beef marbling standard number. The average breeding values of reproducing dams born the same year were used to estimate the genetic trends for the carcass traits. For comparison of the 3 breeding programs, birth years of the dams were divided into 3 periods reflecting each program. Positive genetic trends for beef marbling standard number were clearly shown in all populations. The genetic gains per year for all carcass traits were significantly enhanced by adopting the on-farm progeny testing program. These results indicate that the on-farm progeny testing program with BLUP is a very powerful approach for genetic improvement of carcass traits in Japanese Wagyu beef cattle.

Selection of Matching Variables in Community Health Intervention Trials

In a matched experimental design, the effectiveness of matching in reducing bias and increasing power depends on the strength of the association between the matching variable and the outcome of interest. In particular, in the design of a community health intervention trial, the effectiveness of a matched design, where communities are matched according to some community characteristic, depends on the strength of the correlation between the matching characteristic and the change in the health behavior being measured. We attempt to estimate the correlation between community characteristics and changes in health behaviors in four datasets from community intervention trials and observational studies. Community characteristics that are highly correlated with changes in health behaviors would potentially be effective matching variables in studies of health intervention programs designed to change those behaviors. Among the community characteristics considered, the urban-rural character of the community was the most highly correlated with changes in health behaviors. The correlations between Per Capita Income, Percent Low Income & Percent aged over 65 and changes in health behaviors were marginally statistically significant (p < 0.08).

Substance use disorder treatment programs in Switzerland and the USA: Program characteristics and 1-year outcomes

AIM: This study compared matched samples of substance use disorder (SUD) patients in Swiss and United States (US) residential treatment programs and examined the relationship of program characteristics to patients' substance use and psychosocial functioning at a 1-year follow-up. DESIGN AND SETTING: The study used a prospective, naturalistic design and a sample of 10 public programs in the German-speaking part of Switzerland and 15 US public treatment programs. PARTICIPANTS: A total of 358 male patients in Swiss programs were matched on age, marital status and education with 358 male patients in US programs. A total of 160 Swiss and 329 US patient care staff members also participated. MEASUREMENT: Patients completed comparable inventories at admission, discharge and 1-year follow-up to assess their substance use and psychological functioning and receipt of continuing care. Staff members reported on program characteristics and their beliefs about substance use. FINDINGS: Compared to Swiss patients, US patients had more severe substance use and psychological problems at intake and although they did not differ on abstinence and remission at follow-up, had somewhat poorer outcomes in other areas of functioning. Swiss programs were longer and included more individual treatment sessions; US programs included more group sessions and were more oriented toward a disease model of treatment. Overall, length of program, treatment intensity and 12-step orientation were associated with better 1-year outcomes for patients in both Swiss and US programs. CONCLUSIONS: The sample of Swiss and US programs studied here differed in patient and treatment characteristics; however, in general, there were comparable associations between program characteristics and patients' 1-year outcomes. These findings suggest that associations between treatment processes and patients' outcomes may generalize from one cultural context to another.

Transgenic system for conditional induction and rescue of chronic myocardial hibernation provides insights into genomic programs of hibernation

A key energy-saving adaptation to chronic hypoxia that enables cardiomyocytes to withstand severe ischemic insults is hibernation, i.e., a reversible arrest of contractile function. Whereas hibernating cardiomyocytes represent the critical reserve of dysfunctional cells that can be potentially rescued, a lack of a suitable animal model has hampered insights on this medically important condition. We developed a transgenic mouse system for conditional induction of long-term hibernation and a system to rescue hibernating cardiomyocytes at will. Via myocardium-specific induction (and, in turn, deinduction) of a VEGF-sequestering soluble receptor, we show that VEGF is indispensable for adjusting the coronary vasculature to match increased oxygen consumption and exploit this finding to generate a hypoperfused heart. Importantly, ensuing ischemia is tunable to a level at which large cohorts of cardiomyocytes are driven to enter a hibernation mode, without cardiac cell death. Relieving the VEGF blockade even months later resulted in rapid revascularization and full recovery of contractile function. Furthermore, we show that left ventricular remodeling associated with hibernation is also fully reversible. The unique opportunity to uncouple hibernation from other ischemic heart phenotypes (e.g., infarction) was used to determine the genetic program of hibernation; uncovering hypoxia-inducible factor target genes associated with metabolic adjustments and induced expression of several cardioprotective genes. Autophagy, specifically self-digestion of mitochondria, was identified as a key prosurvival mechanism in hibernating cardiomyocytes. This system may lend itself for examining the potential utility of treatments to rescue dysfunctional cardiomyocytes and reverse maladaptive remodeling.

Parallel algorithm for solving integer linear programs

Linear programs, or LPs, are often used in optimization problems, such as improving manufacturing efficiency of maximizing the yield from limited resources. The most common method for solving LPs is the Simplex Method, which will yield a solution, if one exists, but over the real numbers. From a purely numerical standpoint, it will be an optimal solution, but quite often we desire an optimal integer solution. A linear program in which the variables are also constrained to be integers is called an integer linear program or ILP. It is the focus of this report to present a parallel algorithm for solving ILPs. We discuss a serial algorithm using a breadth-first branch-and-bound search to check the feasible solution space, and then extend it into a parallel algorithm using a client-server model. In the parallel mode, the search may not be truly breadth-first, depending on the solution time for each node in the solution tree. Our search takes advantage of pruning, often resulting in super-linear improvements in solution time. Finally, we present results from sample ILPs, describe a few modifications to enhance the algorithm and improve solution time, and offer suggestions for future work.