Path optimization in $0+1$D QCD at finite density

We investigate the sign problem in $0+1$D quantum chromodynamics at finite chemical potential by using the path optimization method. The SU(3) link variable is complexified to the SL(3,$\mathbb{C}$) link variable, and the integral path is represented by a feedforward neural network. The integral path is then optimized to weaken the sign problem. The average phase factor is enhanced to be greater than 0.99 on the optimized path. Results with and without diagonalized gauge fixing are compared and proven to be consistent. This is the first step in applying the path optimization method to gauge theories.

Efficiency Analysis of Public Health Spending in Brazilian Capitals Using Network Data Envelopment Analysis (DEA)

Aim:In 1988, Brazil implemented profound changes in the organization and financing of its public health system, with the creation of the Unified Health System (Sistema Unico de Saúde – SUS), establishing universal health coverage. The gradual expansion of the health system and entitlements to services has been accompanied by the debate about the appropriate level of government spending and health system efficiency. Design / Research methods: The study uses VRS - output oriented, Dynamic Network SBM DEA model, period 2008-2013, to depict the relationships that take place between diverse levels of care (primary health care/PHC and secondary-tertiary health care/STC). DMUs are Brazilian state capitals, which implement key health policies and assist patients from smaller surrounding municipalities, especially for STC. Inputs are PHC and STC budgets; outputs are their respective services provided and avoidable deaths. The link variable is PHC medical consultation, entrance door to the system and gatekeeper for more complex levels of care. Dynamic model evaluates efficiency across time. Conclusions / findings:Overall performance was 0.86; for PHC, 0.90; for STC, 0.85 (SD=0.15). 8 out of 27 capitals were fully efficient. Capitals increased average scores in both levels of care, but only STC had a positive technological change (frontier shift >1). Link variable behavior denotes a bottleneck between levels of care. Projections onto the frontier enable establish own management diagnosis and goals for financing and development. Originality / value of the article: Network models mimic hierarchically organized health systems. The appliance of results aids health policy.

Hubungan antara Kepribadian, Kesiapan Organisasi untuk Berubah dan Kriteria Universitas Kelas Dunia

Changes in the organization is important to retain its existence and continues to grow. This study attempted to see the connection between personality factors (the big five factor), organizational change readiness and the criteria of World Class University at University X. Based on the analysis of qualitative and statistical tests associated with the third link variable, then showed that the personality and organizational change readiness have an important role for the achievement of world class criteria university. This research showed that personality profiles of extraversion and openess to experience as well as aspects of the vision of change and acceptance phase to be decisive for the index of world class university. This result seems to be supported by the presence of the relationship between extraversion profile with aspects of the vision of change and acceptance. The profile of openness to experience also correlated with aspects of vision of change and acceptance.