Jimei University

About: Jimei University is a education organization based out in Amoy, China. It is known for research contribution in the topics: Computer science & Population. The organization has 4645 authors who have published 4293 publications receiving 42239 citations. The organization is also known as: Jíměi Dàxué.

Geographical effects on cascading breakdowns of scale-free networks

Abstract: Cascading breakdowns of real networks have resulted in severe accidents in recent years. In this paper, we study the effects of geographical structure on the cascading phenomena of load-carrying scale-free networks. Our essential finding is that when networks are more geographically constrained, i.e., more locally interconnected, they tend to have larger cascading breakdowns. Explanations are provided in terms of the effects of cycles and the distributions of betweenness over degrees.

Effects of dietary quercetin on growth performance, serum lipids level and body composition of tilapia ( Oreochromis niloticus)

Abstract: This trial was conducted to investigate the effects of supplementary quercetin on growth performance, serum lipids levels and whole fish body composition in tilapia ( Oreochromis niloticus ). Four hundred fish were randomly divided into five treatment groups with four replicates in each group and 20 fish in each replicate. The dietary quercetin levels of the five treatment groups were: 0 (control group), 200, 400, 800, and 1600 mg/kg, respectively; the trial period was 7 weeks. Compared with the control group, specific growth rate and condition factor of quercetin groups were improved significantly (P 0.05). The triglyceride concentration in serum was decreased significantly with the increasing levels of quercetin supplementation (P 0.05). In conclusion, we demonstrated a promotion of growth performance and the reduction of lipid levels in serum and whole fish body with the supplementation of quercetin.

Privacy-Preserving Reversible Information Hiding Based on Arithmetic of Quadratic Residues

Abstract: The phenomenal advances of cloud computing technology have given rise to the research area of privacy-preserving signal processing, which aims to preserve information privacy even when the signals are processed in an insecure environment. Privacy-preserving information hiding is a multidisciplinary study that has opened up a great deal of intriguing real-life applications, such as data exfiltration prevention, data origin authentication, and electronic data management. Information hiding is a practice of embedding intended messages into carrier signals through imperceptible alterations. In view of some content-sensitive scenarios, however, the ability to preserve perfect copies of signals is of crucial importance, for instance, considering the inadequate robustness of recent artificial intelligence-aided automated systems against noise perturbations. Reversibility of information hiding systems is a valuable property that permits recovery of original carrier signals if desired. In this paper, we propose a novel privacy-preserving reversible information hiding scheme inspired by the mathematical concept of quadratic residues. A quadratic residue has four (not necessarily distinct) square roots, which enables payloads to be encoded in a dynamic fashion. Furthermore, a predictive model based upon the projection theorem is devised to assist carrier signal recovery. The experimental results showed significant improvements over the state-of-the-art methods with regard to capacity, fidelity, and reversibility.