A new potential for methylammonium lead iodide.

We present a new set of interatomic potentials for modelling methylammonium lead iodide. The potential model uses existing potentials for lead iodide and methylammonium, and new functions are fitted to enable these pre-existing potentials to be used together, while still being capable of modelling lead iodide and methylammonium iodide as separate materials. Fitting was performed using a combination of ab initio and experimental reference data. Our simulations are in agreement with experiment and reveal the short and long range ordering of the molecular cations and lead iodide octahedra

A community of practice or a working psychological group? Group dynamics in core and peripheral community participation

The concept of communities of practice (CoP) has become increasingly influential in management literature. Yet, many scholars regard the term as too homogenous and lacking in empirical support. Our study explores the Silver Academy, a project involving over 100 unemployed and self-employed managers over the age of 50, who came together with the purpose of sharing knowledge and experience in starting up their own businesses. The study shows how the Academy matches the notion of CoP including mutual relationships, shared engagement and a common consensus of membership. However, applying Bion’s (1961) theory of groups, we challenge the homogenous and consensual notion of a community of practice, illustrating how, through unconscious group processes, some group members exhibit workgroup mentality and the capacity for realistic hard work (and leadership), while others are caught in a basic-assumption mentality, prone to feelings of anxiety, guilt and depression. This is particularly so for a group that has gone through the recent trauma of unemployment

Mood and the Market: Can Press Reports of Investors’ Mood Predict Stock Prices?

We examined whether press reports on the collective mood of investors can predict changes in stock prices. We collected data on the use of emotion words in newspaper reports on traders’ affect, coded these emotion words according to their location on an affective circumplex in terms of pleasantness and activation level, and created indices of collective mood for each trading day. Then, by using time series analyses, we examined whether these mood indices, depicting investors’ emotion on a given trading day, could predict the next day’s opening price of the stock market. The strongest findings showed that activated pleasant mood predicted increases in NASDAQ prices, while activated unpleasant mood predicted decreases in NASDAQ prices. We conclude that both valence and activation levels of collective mood are important in predicting trend continuation in stock prices