Liquid-gas transition and coexistence in ground-state bosons with spin twist

We study the thermodynamic liquid-gas transition and coexistence (LGTC) for ground-state bosons under contact interactions. We find that the LGTC can be facilitated by the mismatch of spin polarization, dubbed "spin twist," between single-particle and interaction channels of bosons with spin degrees of freedom. Such a spin twist uniquely stabilizes the gas phase by creating an effective repulsion for low-density bosons, thereby enabling LGTC in the presence of a quantum droplet at a much larger density. We have demonstrated the scheme for binary bosons subject to Rabi coupling and magnetic detuning, where the liquid-gas transition can be conveniently tuned and their coexistence can be characterized by a discontinuous density profile in a harmonic trap. The spin twist scheme for LGTC can be generalized to a wide class of quantum systems with competing single-particle and interaction orders.Comment: 6+5 pages, 4+3 figure

Self-bound Vortex Lattice in a Rapidly Rotating Quantum Droplet

A rapidly rotating Bose gas in the quantum Hall limit is usually associated with a melted vortex lattice. In this work, we report a self-bound and visible triangular vortex lattice without melting for a two-dimensional Bose-Bose droplet rotating in the quantum Hall limit, i.e., with rotation frequency $\Omega$ approaching the trapping frequency $\omega$. Increasing $\Omega$ with respect to interaction strength $U$, we find a smooth crossover of vortex lattice droplet from a needling regime, as featured by small vortex cores and an equilibrium flat-top surface, to the lowest-Landau-level regime with Gaussian-extended cores spreading over the whole surface. The surface density of such rotating droplet is higher than that of a static one, and their ratio is found to be a universal function of $\Omega/U$. We have demonstrated these results by both numerical and variational methods. The results pave the way for future experimental exploration of rapidly rotating ultracold droplets into the quantum Hall limit.Comment: 6 pages, 4 figure

Development Of E-Supply Chain Collaboration Strategy In The Chinese Automotive Industry: A Theoretical Collaboration Framework

The research intends to investigate into the e-supply chain practices of the Chinese automotive industry. The analysis of the theoretical review has been carried out by using one of the qualitative research techniques, grounded theory, to understand and evaluate all of the relevant influencing factors of the collaboration strategy development. It will begin by looking at how e-business and information technology have influenced supply chain management in the automotive industry in China; what factors have affected the organisations through integrating with the e-supply chain strategy; and what requirements that organisations have to improve the efficiency of the supply chain strategies in order to gain global market advantage. Therefore, the main purpose of this research is to develop a theoretical collaboration framework for helping the Chinese automotive manufacturers to effectively manage their global collaboration supply network. This will further facilitate the integration of information technologies in the supply networks whilst keeping it flexible enough to develop a collaboration strategies framework to formulate the supply chain activities by helping the Chinese auto manufacturers to effectively manage their global supply chain and thus add value to both business and customer

Partial entropy in finite-temperature phase transitions

It is shown that the von Neumann entropy, a measure of quantum entanglement, does have its classical counterpart in thermodynamic systems, which we call partial entropy. Close to the critical temperature the partial entropy shows perfect finite-size scaling behavior even for quite small system sizes. This provides a powerful tool to quantify finite-temperature phase transitions as demonstrated on the classical Ising model on a square lattice and the ferromagnetic Heisenberg model on a cubic lattice.Comment: 4 pages, 6 figures, Revised versio

Association Between Acculturation and Body Weight Status Among Migrant Children in Guangzhou, China: A Cross-Sectional Study

Objective To assess the association between acculturation and body weight status among internal migrant children in China. Design, setting and participants A cross-sectional study was conducted among 1154 pairs of migrant children aged 11–17 years and their primary caregivers in Guangzhou, China, from April to May 2016. Measures Migrant children’s body weight status was measured by body mass index. Acculturation was measured by a questionnaire, developed and validated by the research team. The questionnaire had three dimensions with five factors, namely language, social interaction, custom, dressing and diet. Social anxiety was measured by Social Anxiety Scale for Children. Food intake was measured by the food frequency table that was developed from a previous study. Logistic regression was performed to examine the association between acculturation and overweight/obesity while controlling for migrant children’s and their caregivers’ demographic characteristics, children’s social anxiety and food intake. Results Seventy-six out of 1154 (6.6%) migrant children were overweight, and 36 (3.1%) were obese. The overall prevalence of overweight/obesity was 12.5% in boys, and 6.1% in girls (pConclusions The low levels of acculturation was associated with overweight/obesity among migrant children in Guangzhou, China. Promoting healthy acculturation and social campaign on healthy body weight may help prevent childhood overweight/obesity. Young migrant children, boys and children living with urban-to urban migrant caregivers should be the target subgroups

Glucagon-like peptide-1 receptor agonist versus basal insulin in type-2 diabetic patients: An efficacy and safety analysis

Purpose: To compare the effectiveness of glucagon-like peptide 1 receptor agonist with that of basal insulin in type 2 diabetes patients. Methods: Type-2 diabetes patients who were insensitive to metformin were treated with glucagon-like peptide 1 receptor agonist (GP cohort, n = 115) or basal insulin (BI cohort, n = 152) with metformin. Hemoglobin A1c (HbA1c) level and body weight were determined, and adverse effects also recorded. Results: After 16 weeks of treatment, glucagon-like peptide 1 receptor agonist did not significantly reduce HbA1c levels (7.45 ± 2.11 % vs. 7.01 ± 2.01, p = 0.107). In contrast, basal insulin significantly reduced the levels of HbA1c (7.91 ± 2.98 % vs. 7.13 ± 2.22 %, p = 0.010, q = 3.852). Glucagon-likepeptide 1 receptor agonist reduced the body weight of patients (65.25 ± 7.55 kg vs. 62.16 ± 6.15 kg, p = 0.0008, q = 5.121), unlike basal insulin (63.71 ± 6.15 vs. 62.65 ± 6.76 kg, p = 0.154). Conclusion: Glucagon-like peptide 1 receptor agonist and basal insulin + metformin produce identical effectiveness in the treatment of type-2 diabetic patients. Keywords: Glucagon-like peptide-1 receptor agonist, Glycemic control, Insulin, Metformin, Type-2 diabete

Remaining Useful Life Estimation Based on Asynchronous Multisource Monitoring Information Fusion

An asynchronous RUL fusion estimation algorithm is presented for the hidden degradation process with multiple asynchronous monitoring sensors based on multisource information fusion. Firstly, a state-space type model is established by modeling the stochastic degradation as a Wiener process and transforming asynchronous indirectly observations in the fusion period to the fusion time. The statistical characteristics of involved noises and their correlations are analyzed. Secondly, the estimate of the hidden degradation state is obtained by applying Kalman filtering with correlated noises to the established state-space model, where the synchronized observations are fused. Also, the unknown model parameters are recursively identified based on the Expectation-Maximization (EM) algorithm with the Generic Algorithm (GA) adopted to solve the maximization problem. Finally, the probability distribution of RUL is obtained using the fused degradation state estimation and the updated identification result of the model parameters. Simulation results show that the proposed fusion method has better performance than the RUL estimation with single sensor