Resolution, Relief, And Resignation:A Qualitative Study Of Responses To Misfit At Work

Research has portrayed person–environment (PE) fit as a pleasant condition resulting from people being attracted to and selected into compatible work environments; yet, our study reveals that creating and maintaining a sense of fit frequently involves an effortful, dynamic set of strategies. We used a two-phase, qualitative design to allow employees to report how they become aware of and experience misfit, and what they do in response. To address these questions, we conducted interviews with 81 individuals sampled from diverse industries and occupations. Through their descriptions, we identified three broad responses to the experience of misfit: resolution, relief, and resignation. Within these approaches, we identified distinct strategies for responding to misfit. We present a model of how participants used these strategies, often in combination, and develop propositions regarding their effectiveness at reducing strain associated with misfit. These results expand PE fit theory by providing new insight into how individuals experience and react to misfit—portraying them as active, motivated creators of their own fit experience at work

Use of Decoys to Optimize an All-Atom Force Field Including Hydration

A novel method of parameter optimization is proposed. It makes use of large sets of decoys generated for six nonhomologous proteins with different architecture. Parameter optimization is achieved by creating a free energy gap between sets of nativelike and nonnative conformations. The method is applied to optimize the parameters of a physics-based scoring function consisting of the all-atom ECEPP05 force field coupled with an implicit solvent model (a solvent-accessible surface area model). The optimized force field is able to discriminate near-native from nonnative conformations of the six training proteins when used either for local energy minimization or for short Monte Carlo simulated annealing runs after local energy minimization. The resulting force field is validated with an independent set of six nonhomologous proteins, and appears to be transferable to proteins not included in the optimization; i.e., for five out of the six test proteins, decoys with 1.7- to 4.0-Å all-heavy-atom root mean-square deviations emerge as those with the lowest energy. In addition, we examined the set of misfolded structures created by Park and Levitt using a four-state reduced model. The results from these additional calculations confirm the good discriminative ability of the optimized force field obtained with our decoy sets