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Previous research has indicated that many people often take extra time to consider existing information. They do so possibly in order to acquire more information, or even to "wait" in the hope that new information may be forthcoming before they make a decision. However,
recent studies have provided scant information about how waiting affects a person's choice given different emotional states. In this paper, an experimental study was carried out to demonstrate and explain the relationship between waiting and a person's choice. Results show that when
conditions are certain, more people choose to wait – when they are in a positive emotional state – in order to maintain their current mood. However, under either certain or uncertain conditions, when people are in a negative emotional state they prefer to take immediate action
rather than wait. The causes and implications of this phenomenon are discussed in relation to the existing literature on emotions and choice.

We study odd viscosity in a holographic model of a Weyl semimetal. The model is characterized by a quantum phase transition from a topological semimetal to a trivial semimetal state. Since the model is axisymmetric in three spatial dimensions there are two independent odd viscosities. Both odd viscosity coefficients are nonvanishing in the quantum critical region and nonzero only due to the mixed axial gravitational anomaly. It is therefore a novel example in which the mixed axial gravitational anomaly gives rise to a transport coefficient at first order in derivatives at finite temperature. In the quantum critical region, the physics of viscosities as well as conductivities is governed by the quantum critical point. ; This work has been supported by Projects No. FPA2012-32828, No. FPA2015-65480-P, and by the Centro de Excelencia Severo Ochoa Programme under Grant No. SEV-2012-0249. Y. L. would like to acknowledge support by the Thousand Young Talents Program of China. The work of Y. W. S. was also supported by the European Union through a Marie Curie Individual Fellowship No. MSCA-IF-2014-659135. ; Peer Reviewed

We present a holographic model of a topological Weyl semimetal. A key ingredient is a time-reversal breaking parameter and a mass deformation. Upon varying the ratio of mass to time-reversal breaking parameter the model undergoes a quantum phase transition from a topologically nontrivial semimetal to a trivial one. The topological nontrivial semimetal is characterized by the presence of an anomalous Hall effect. The results can be interpreted in terms of the holographic renormalization group (RG) flow leading to restoration of time reversal at the end point of the RG flow in the trivial phase. ; This work has been supported by Project No. FPA2012-32828 and by the Centro de Excelencia Severo Ochoa Programme under Grant No. SEV-2012-0249. The work of Y. W. S. was also supported by the European Union through a Marie Curie Individual Fellowship MSCA-IF-2014-659135. Y. L. and Y. W. S. would like to thank KITPC for its hospitality and its partial support during the program "Holographic duality for condensed matter physics." ; Peer Reviewed

A study with 124 subjects demonstrated that people are likely to include more variety in their consumption decisions when they are induced to a negative emotion than when they are induced to a positive emotion. This phenomenon is explained by emotion-maintenance theory.

The COVID-19 pandemic has brought global mobility into the spotlight, with well over 100 countries having instituted either a full or partial lockdown by April 2020. Reduced mobility, whilst causing social and economic impacts, can also be beneficial for the environment and future studies will surely quantify such environmental gains. However, accurate quantification is intimately linked to good quality data on transport modal shares, as passenger cars and public transport have significantly different emissions profiles. Herein, we compile a currently lacking dataset on global modal transport shares for 131 countries. Notably, these are the countries covered by the Google Community Mobility Reports (plus Russia and China for their global relevance), thus allowing for a smooth integration between our dataset and the rich information offered by the Google Community Mobility Reports, thus enabling analysis of global emissions reductions due to mobility restrictions. Beyond the current pandemic, this novel dataset will be helpful to practitioners and academics alike working in transport research.