Resilience in environmental educators

Contemporary environmental issues (such as global warming) can present psychological stress, the effects of which are under-examined. The ability to "bounce back" from stress associated with increasing environmental adversity can be understood as resilience, and can be found in some environmental educators. The following paper examines how veteran environmental educators respond to psychological stress to increasing environmental adversity and describes the experience of resilience. Through in-depth interviews, this hermeneutical study sheds light on the environmental factors and internal competencies that contribute to resilience in seven environmental educators. Additionally, the interaction (known as the person/environment transactional process) between these factors and competencies is explored, providing insight into how the participants construct resilience. Kumpfer's (1999) Resilience Framework provided the organizational framework for the results of this study. Findings suggest ways in which resilience in environmental educators can be supported and offers directions for future research.

Application of Reptation Quantum Monte Carlo and Related Methods to LiH

This work investigates mathematical details and computational aspects of Metropolis-Hastings reptation quantum Monte Carlo and its variants, in addition to the Bounce method and its variants. The issues that concern us include the sensitivity of these algorithms' target densities to the position of the trial electron density along the reptile, time-reversal symmetry of the propagators, and the length of the reptile. We calculate the ground-state energy and one-electron properties of LiH at its equilibrium geometry for all these algorithms. The importance sampling is performed with a single-determinant large Slater-type orbitals (STO) basis set. The computer codes were written to exploit the efficiencies engineered into modern, high-performance computing software. Using the Bounce method in the calculation of non-energy-related properties, those represented by operators that do not commute with the Hamiltonian, is a novel work. We found that the unmodified Bounce gives good ground state energy and very good one-electron properties. We attribute this to its favourable time-reversal symmetry in its target density's Green's functions. Breaking this symmetry gives poorer results. Use of a short reptile in the Bounce method does not alter the quality of the results. This suggests that in future applications one can use a shorter reptile to cut down the computational time dramatically.