A Simple Discussion on Mentalese

From the beginning of language to now, the relationship between thought and language has been the focus in such studies as Linguistics, Psychology, Philosophy and so on. Opinions are widely divided to this discussion. The proposition of “Mentalese” seemingly broke this debate or made it more heated. On the basis of the previous achievement, this paper dialectically discusses the mentalese and its roles in foreign language teaching and translation

Thermodynamic potentials and Thermodynamic Relations in Nonextensive Thermodynamics

The generalized Gibbs free energy and enthalpy is derived in the framework of nonextensive thermodynamics by using the so-called physical temperature and the physical pressure. Some thermodynamical relations are studied by considering the difference between the physical temperature and the inverse of Lagrange multiplier. The thermodynamical relation between the heat capacities at a constant volume and at a constant pressure is obtained using the generalized thermodynamical potential, which is found to be different from the traditional one in Gibbs thermodynamics. But, the expressions for the heat capacities using the generalized thermodynamical potentials are unchanged.Comment: 7 page

Heat capacity of the generalized two-atom and many-atom gas in nonextensive statistics

We have used the generalized two-atom ideal gas model in Tsallis statistics for the statistical description of a real gas. By comparing the heat capacity with the experimental results for the two-atom molecule gases such as N2, O2 and CO, we find that these gases appear extensive at normal temperature, but they may be nonextensive at the lower temperature. Furthermore, we study the heat capacity of the generalized many-atom gas model. We conclude that, for the many-atom gas with a high degree of freedom, a weak nonextensivity of 1-q<0 can lead to the instability.Comment: 12 pages, 2 figures, 1 table, 32 reference

Do employees truly value their brand values? Examining the specificity of employee-brand value fit for service brands

The alignment between employee performance and brand values is crucial in realizing a differentiated and meaningful service brand. However, previous studies that examine this alignment tend to adopt only reflective measures that do not acknowledge the pluralistic nature of brand values. To fully demonstrate the specificity of employee-brand value fit, we proposed and tested a Multiple Indicators Multiple Causes (MIMIC) measurement model with both reflective indicators and formative indicators. This approach not only reveals a general employee-brand value fit level, but also yields insight with respect to what brand values are the most important in informing employee-brand value fit and their subsequent brand performance. Two empirical studies were conducted to test and re-test this new approach. Both studies strongly supported the superiority of this MIMIC model approach. With this statistical advancement, theoretical and managerial implications are provided accordingly

Biodegradation of polycyclic aromatic hydrocarbons (PAHs) by white rot-fungus Pseudotrametes gibbosa isolated from the boreal forest in Northeast China

This study compared laccase production and the degradation of polycyclic aromatic hydrocarbons (PAHs) by  aboriginal white rot-fungus Pseudotrametes gibbosa (found in the northeast forest area of China) and Pleurotus ostreatus (which has been studied both domestically in China and overseas). The results showed that the laccase activity of P. gibbosa was 2841.3 U/l, which was 6 times more than that of P. ostreatus under the same culture conditions. The degradation of Anthracene and pyrene induced by P. gibbosa were 43.43 and 24.26%, while the removal efficiencies induced by P. ostreatus were only 30.12 and 18.76%. The results also showed a positive correlation between the PAHs degradation and laccase activity, and Pseudotrametes gibbosa had significant potential due to its higher laccase production and more potent degradation of PAHs. This study provides technical support for pollution amelioration using aboriginal white-rot fungus.Key words: White-rot fungus, laccase, polycyclic aromatic hydrocarbons, degradation

The kappa parameter and kappa-distribution in kappa-deformed statistics for the systems in an external field

The kappa-deformed statistics has been studied in many papers. It is naturally important question for us to ask what should the kappa parameter stand for and under what physical situation should the kappa-deformed statistics be suitable for the statistical description of a system. In this paper, we have derived a formula expression of kappa parameter based on the kappa-H theorem, the kappa-velocity distribution and the generalized Boltzmann equation in the framework of kappa-deformed statistics. We thus obtain a physical interpretation for the kappa parameter different from zero with regard to the temperature gradient and the external force field. We show that, as the q-statistics based on Tsallis entropy, the kappa-deformed statistics may also be the candidate one suitable for the statistical description of the systems in external fields when being in the nonequilibrium stationary state, but has different physical characteristics. Namely, the kappa-distribution is found to describe the nonequilibrium stationary state of the system where the external force should be vertical to the temperature gradient.Comment: 8 pages, 16 references. Accepted by Phys.Lett.

Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation

Learning accurate cross-domain preference mappings in the absence of overlapped users/items has presented a persistent challenge in Non-overlapping Cross-domain Recommendation (NOCDR). Despite the efforts made in previous studies to address NOCDR, several limitations still exist. Specifically, 1) while some approaches substitute overlapping users/items with overlapping behaviors, they cannot handle NOCDR scenarios where such auxiliary information is unavailable; 2) often, cross-domain preference mapping is modeled by learning deterministic explicit representation matchings between sampled users in two domains. However, this can be biased due to individual preferences and thus fails to incorporate preference continuity and universality of the general population. In light of this, we assume that despite the scattered nature of user behaviors, there exists a consistent latent preference distribution shared among common people. Modeling such distributions further allows us to capture the continuity in user behaviors within each domain and discover preference invariance across domains. To this end, we propose a Distributional domain-invariant Preference Matching method for non-overlapping Cross-Domain Recommendation (DPMCDR). For each domain, we hierarchically approximate a posterior of domain-level preference distribution with empirical evidence derived from user-item interactions. Next, we aim to build distributional implicit matchings between the domain-level preferences of two domains. This process involves mapping them to a shared latent space and seeking a consensus on domain-invariant preference by minimizing the distance between their distributional representations therein. In this way, we can identify the alignment of two non-overlapping domains if they exhibit similar patterns of domain-invariant preference.Comment: 9 pages, 5 figures, full research paper accepted by ICDM 202