A Two-Dimensional Carbon Semiconductor

We show that patterned defects can be used to disrupt the sub-lattice symmetry of graphene so as to open up a band gap. This way of modifying graphene's electronic structure does not rely on external agencies, the addition of new elements or special boundaries. The method is used to predict a planar, low energy, graphene allotrope with a band gap of 1.2 eV. This defect engineering also allows semiconducting ribbons of carbon to be fabricated within graphene. Linear arrangements of defects lead to naturally embedded ribbons of the semiconducting material in graphene, offering the prospect of two-dimensional circuit logic composed entirely of carbon.Comment: 4 pages, 5 figure

Using social media big data for tourist demand forecasting: A new machine learning analytical approach

This study explores the possibility of using a machine learning approach to analysing social media big data for tourism demand forecasting. We demonstrate how to extract the main topics discussed on Twitter and calculate the mean sentiment score for each topic as the proxy of the general attitudes towards those topics, which are then used for predicting tourist arrivals. We choose Sydney, Australia as the case for testing the performance and validity of our proposed forecasting framework. The study reveals key topics discussed in social media that can be used to predict tourist arrivals in Sydney. The study has both theoretical implications for tourist behavioural research and practical implications for destination marketing

Rise through coping with service failures in tourism

Service failure, a common stressor experienced by tourists during their travels, can have a far-reaching impact beyond the travel domain. This research investigates how tourists cope with service failure during their travels and its influence on their ability to rise through challenges and achieve personal growth. Through semi-structured interviews and four scenario-based experiments, we found that problem-focused coping generates a stronger sense of pride and a weaker sense of shame compared to emotion-focused strategies, fostering self-confidence and personal growth in tourists. Additionally, supportive companion reactions reinforce the positive effects of problem-focused coping, while non-supportive reactions may weaken it. The findings offer important theoretical insights, with implications for the tourism industry to develop effective recovery strategies and provide meaningful travel experiences

What E-gov Systems should African Countries Invest in? A Panel Data Analysis

an applying e-gov increase African countries’ FDI inflows? While e-gov has been proved to improve various aspects of governance, the link between e-gov and FDI inflows seems to be ignored by previous literature. At the same time, as an emerging economy, China’s outward FDI has increased steadily in recent years. However, China’s OFDI flows to Africa is relatively low compared with the flows to Asia and other industrialised economies. Leveraging the current literature, this study used institutional factors by Kaufmann and indices of ease of doing business to explore how each institutional factor influenced by e-gov affect FDI inflows from China. This research argues that to attract more China’s FDI, African countries should invest in those factors which can influence FDI inflows, such as staring a new business and paying taxes. This study contributes to the literature by revealing the most influence factors for African countries to invest e-gov in to attract China’s OFDI

Maximum relative excitation of a specific vibrational mode via optimum laser pulse duration

For molecules and materials responding to femtosecond-scale optical laser pulses, we predict maximum relative excitation of a Raman-active vibrational mode with period T when the pulse has an FWHM duration of 0.42 T. This result follows from a general analytical model, and is precisely confirmed by detailed density-functional-based dynamical simulations for C60 and a carbon nanotube, which include anharmonicity, nonlinearity, no assumptions about the polarizability tensor, and no averaging over rapid oscillations within the pulse. The mode specificity is, of course, best at low temperature and for pulses that are electronically off-resonance, and the energy deposited in any mode is proportional to the fourth power of the electric field.Comment: 5 pages, 4 figure

Some New Correlations of Q-Value with Rock Mechanics Parameters in Underground Oil Storage Caverns

Q-system is a preferred alternative method of rock mass classification for underground oil storage caverns where stable lithological rocks are widely distributed. In this paper, correspondences between important input rock mechanics parameters (friction angle, cohesion, tensile strength, Poisson’s ratio, deformation modulus) and Q values were investigated, thereby bringing convenient to rapidly obtain available parameters when it’s hard to collect measured field data in underground storage projects basically with similar lithology. The proposed correlations were verified through numerical simulation and on-site monitoring measurement. In addition, comparison of different criteria among Q-system and other codes for rock mass classification has been made to help for making a preliminary evaluation of rock mass quality in the practical engineering. Finally, the behaviours of surrounding rock deformations under different Q values were analysed by using FLAC3D code with the calculating parameters suggested in this paper, and the calculation results match well with measured values in situ. Above results will not only guide the construction but also could be relevant to other underground storage engineering under similar geological conditions

Two birds with one stone: Goal conflict handling and its effect on well-being

A tourist’s journey is often shaped by the pursuit of diverse and sometimes conflicting goals. In this study, we investigate how tourists handle conflicting goals during their travels. Drawing upon life history theory, we have developed and tested a conceptual model that examines how life history strategies (LHS, fast vs. slow) influence goal management approaches (highlighting vs. balancing) and their subsequent impact on tourist well-being. Through a combination of surveys, field and lab experiments, and a meta-analysis, our research reveals that when confronted with goal conflicts, tourists with a fast LHS tend to prefer a highlighting approach, while those with a slow LHS gravitate towards a balancing approach, with perceived deservingness serving as a mediator in this relationship. Moreover, matching (vs. mismatching) LHS with goal management enhances overall well-being. These findings offer valuable insights for both theoretical advancement and practical management in tourism