Patrones individuales de dispersión de larvas de góbidos en un estudiaro indicados por la composición elemental de los otolitos

Otolith trace elements were used as natural tags to study the dispersal patterns of goby larvae in an estuary. Ninety-six larval gobies representing 10 species were collected in the estuary of Gongshytyan Creek in northwestern Taiwan in September 1997. Fifteen trace elements in fish otoliths were analysed with solution-based ICPMS. Trace elemental composition in otoliths differed significantly among the species. Habitat use by the larvae of the 10 species can be divided into four groups, based on principal component analysis of otolith elemental composition. All 10 goby species used the estuary as a nursery area irrespective of the fish being amphidromous or non-amphidromous. A part of the population may be lost during larval dispersal, as indicated from trace elemental composition recorded in the otolith.Se utilizó la composición elemental en los otolitos de larvas de góbidos como trazadores naturales para estudiar los patrones de dispersión en un estuario. Durante septiembre de 1997 se recolectaron 96 larvas de góbidos pertenecientes a 10 especies distintas en el estuario de Gongshytyan Creek situado en el noroeste de Taiwan . Se analizaron 15 elementos traza mediante espectroscopia de masas (ICPMS). La composición de elementos traza en los otolitos difirió significativamente entre especies. En base al Análisis de Componentes Principales de la composición elemental de los otolitos, los hábitats utilizados por las 10 especies pudieron dividirse en 4 grupos. Las 10 especies de góbidos usan el estuario como área de cría, independientemente de que las especies sean anfidromas o no-anfidromas. La composición elemental determinada para los otolitos analizados, permitió comprobar que una parte de la población puede ser perdida durante la dispersión larvaria

Internationalization propensity in family-controlled public firms in emerging markets: The effects of family ownership, governance, and top management team heterogeneity

Internationalization propensity is a growing issue faced by family firms. This study contributes to the family business literature by developing a conceptual framework that can identify the family and managerial determinants that affect the extensiveness of internationalization. Drawing on the socioemotional wealth and upper echelon perspectives, it empirically examines the association among family heterogeneity (i.e., family participation is heterogeneous in terms of ownership and governance oversight), top management team (TMT) heterogeneity (i.e., the TMT’s background is heterogeneous in terms of its overseas education and industry experience), and internationalization propensity in publicly traded enterprises. The analysis of data collected from 105 public firms in Taiwan shows that active family participation in ownership and governance oversight and TMT overseas industry experience heterogeneity are significantly and positively associated with internationalization propensity. However, family ownership is found to be significantly but negatively associated with internationalization propensity. We finally discuss the implications of the presented findings for practitioners and organizational theorists

The Allocation of Employee Stock Option Proceeds

Presented at European Financial Management Association 2015 Annual Meetings, June 24-27, 2015, Amsterdam</p

Staphylococcal Cassette Chromosome mec in MRSA, Taiwan

To determine the predominant staphylococcal cassette chromosome (SCC) mec element in methicillin-resistant Staphylococcus aureus, we typed 190 isolates from a hospital in Taiwan. We found a shift from type IV to type III SCCmec element during 1992–2003, perhaps caused by selective pressure from indiscriminate use of antimicrobial drugs

FML-based Prediction Agent and Its Application to Game of Go

In this paper, we present a robotic prediction agent including a darkforest Go engine, a fuzzy markup language (FML) assessment engine, an FML-based decision support engine, and a robot engine for game of Go application. The knowledge base and rule base of FML assessment engine are constructed by referring the information from the darkforest Go engine located in NUTN and OPU, for example, the number of MCTS simulations and winning rate prediction. The proposed robotic prediction agent first retrieves the database of Go competition website, and then the FML assessment engine infers the winning possibility based on the information generated by darkforest Go engine. The FML-based decision support engine computes the winning possibility based on the partial game situation inferred by FML assessment engine. Finally, the robot engine combines with the human-friendly robot partner PALRO, produced by Fujisoft incorporated, to report the game situation to human Go players. Experimental results show that the FML-based prediction agent can work effectively.Comment: 6 pages, 12 figures, Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS 2017), Otsu, Japan, Jun. 27-30, 201