Sun Yat-sen University

About: Sun Yat-sen University is a education organization based out in Guangzhou, Guangdong, China. It is known for research contribution in the topics: Population & Cancer. The organization has 115149 authors who have published 113763 publications receiving 2286465 citations. The organization is also known as: Zhongshan University & SYSU.

Switching the anisotropy barrier of a single-ion magnet by symmetry change from quasi-D5h to quasi-Oh

Abstract: A reversible single-crystal-to-single-crystal transformation is used to dramatically change the relaxation behavior of a single-ion magnet The coordination geometry of the DyIII site of a [Zn–Dy–Zn] complex changes from pentagonal–bipyramid (quasi-D5h) to octahedron (quasi-Oh), inducing an energy barrier change from 305 cm−1 (439 K) to a negligible value, respectively Ab initio calculations reveal that the ideal D5h–DyIII is of perfect axiality with a substantial energy barrier in accordance with the experimental result

Adaptive Particle Swarm Optimization

Abstract: This paper proposes an adaptive particle swarm optimization (APSO) with adaptive parameters and elitist learning strategy (ELS) based on the evolutionary state estimation (ESE) approach. The ESE approach develops an `evolutionary factor' by using the population distribution information and relative particle fitness information in each generation, and estimates the evolutionary state through a fuzzy classification method. According to the identified state and taking into account various effects of the algorithm-controlling parameters, adaptive control strategies are developed for the inertia weight and acceleration coefficients for faster convergence speed. Further, an adaptive `elitist learning strategy' (ELS) is designed for the best particle to jump out of possible local optima and/or to refine its accuracy, resulting in substantially improved quality of global solutions. The APSO algorithm is tested on 6 unimodal and multimodal functions, and the experimental results demonstrate that the APSO generally outperforms the compared PSOs, in terms of solution accuracy, convergence speed and algorithm reliability.

I warn you because I like you: Voice behavior, employee identifications, and transformational leadership

Abstract: Voice behavior refers to the behavior that proactively challenges the status quo and makes constructive changes. Previous studies have explored the antecedents of employees' voice behavior, but to whom employees are likely to voice their thoughts has remained rarely examined. We propose that voice behavior is target-sensitive and that there are two types of voice behavior: speaking out (voice toward peers) and speaking up (voice toward the supervisor). Transformational leadership facilitates both speaking out and speaking up. However, it produces effects on employees via different types of employee identifications. Specifically, social identification predicts only speaking out, while personal identification predicts only speaking up. In contrast, affiliative extra-role behavior is less target-sensitive, and transformational leadership influences affiliative extra-role behavior via both social identification and personal identification. We examined our hypotheses by collecting both self-reported and coworker data from 191 Chinese employees in different organizations. Our hypotheses gained general support from the data. Implications for research and practice are discussed.

G-Quadruplexes: Targets in Anticancer Drug Design

Abstract: G-quadruplexes are special secondary structures adopted in some guanine-rich DNA sequences. As guanine-rich sequences are present in important regions of the eukaryotic genome, such as telomeres and the regulatory regions of many genes, such structures may play important roles in the regulation of biological events in the body. G-quadruplexes have become valid targets for new anticancer drugs in the past few decades. Many leading compounds that target these structures have been reported, and a few of them have entered preclinical or clinical trials. Nonetheless, the selectivity of this kind of antitumor compound has yet to be improved in order to suppress the side effects caused by nonselective binding. As drug design targets, the topology and structural characteristics of quadruplexes, their possible biological roles, and the modes and sites of small-ligand binding to these structures should be understood clearly. Herein we provide a summary of published research that has set out to address the above problem to provide useful information on the design of small ligands that target G-quadruplexes. This review also covers research methodologies that have been developed to study the binding of ligands to G-quadruplexes.