• Title/Summary/Keyword: biogeography

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Two New Species of Placolecis (Lichenized Ascomycota) from China

  • Yin, An Cheng;Wang, Xin Yu;Liu, Dong;Zhang, Yan Yun;Yang, Mei Xia;Li, Li Juan;Wang, Li Song
    • Mycobiology
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    • v.47 no.4
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    • pp.401-407
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    • 2019
  • Two new species of the lichen genus Placolecis are discovered in China, namely P. kunmingensis An. C. Yin & Li S. Wang and P. sublaevis An. C. Yin & Li S. Wang. The new combination P. loekoesiana (S.Y. Kondr., Farkas, J.J. Woo & Hur) An. C. Yin is proposed. Placolecis kunmingensis is characterized by having simple, spherical or ellipsoid, hyaline spores, and pear-shaped pycnidia; while P. sublaevis can be distinguished by its thallus forming larger aggregations with slightly flattened lobes at the thallus margin, and urn-shaped pycnidia. Descriptions, a phylogenetic tree and a key are provided for all the known Placolecis species in China.

Biogeographical Studies in Korea (한국의 생물지리학 연구)

  • Park, Jung-Jae
    • Journal of the Korean Geographical Society
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    • v.47 no.4
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    • pp.514-521
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    • 2012
  • In this paper, three general academic issues in Korean biogeographical studies were comprehensively reviewed: 1) relationship between environmental factors and plant distribution, 2) past vegetation and climate 3) interaction between humans and environment. Biogeography in Korea is poorly developed field and has been generally ignored by geographers in Korea. The future for biogeography in Korea however seems promising and Korean biogeographers have a great opportunity to develop their field. To attract more prospective graduate students into biogeography and train them would be very important for the gradual and persistent development of geographical biogeography in Korea.

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Real Coded Biogeography-Based Optimization for Environmental Constrained Dynamic Optimal Power Flow

  • Kumar, A. Ramesh;Premalatha, L.
    • Journal of Electrical Engineering and Technology
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    • v.10 no.1
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    • pp.56-63
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    • 2015
  • The optimization is an important role in wide geographical distribution of electrical power market, finding the optimum solution for the operation and design of power systems has become a necessity with the increasing cost of raw materials, depleting energy resources and the ever growing demand for electrical energy. In this paper, the real coded biogeography based optimization is proposed to minimize the operating cost with optimal setting of equality and inequality constraints of thermal power system. The proposed technique aims to improve the real coded searing ability, unravel the prematurity of solution and enhance the population assortment of the biogeography based optimization algorithm by using adaptive Gaussian mutation. This algorithm is demonstrated on the standard IEEE-30 bus system and the comparative results are made with existing population based methods.

Prosobranch Family Velutinidae (Gastropoda) in Cold and Temperate Waters of the Northern Hemisphere: History, Biogeography, Evolution and Chorology

  • Gulbin, V.V.
    • Ocean Science Journal
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    • v.40 no.1
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    • pp.45-54
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    • 2005
  • The history of investigation of the family Velutinidae from 1776 to the present day is briefly described in the last part of this review; the contemporary system of the family, consisting of 39 species and subspecies, belonging to 17 genera and subgenera, and three subfamilies, is presented here. A biogeographic analysis of the fauna has been made, the history of origin and development of the family, vertical distribution and relation to substrates have been described in this work.

Predicting the compressive strength of self-compacting concrete containing fly ash using a hybrid artificial intelligence method

  • Golafshani, Emadaldin M.;Pazouki, Gholamreza
    • Computers and Concrete
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    • v.22 no.4
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    • pp.419-437
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    • 2018
  • The compressive strength of self-compacting concrete (SCC) containing fly ash (FA) is highly related to its constituents. The principal purpose of this paper is to investigate the efficiency of hybrid fuzzy radial basis function neural network with biogeography-based optimization (FRBFNN-BBO) for predicting the compressive strength of SCC containing FA based on its mix design i.e., cement, fly ash, water, fine aggregate, coarse aggregate, superplasticizer, and age. In this regard, biogeography-based optimization (BBO) is applied for the optimal design of fuzzy radial basis function neural network (FRBFNN) and the proposed model, implemented in a MATLAB environment, is constructed, trained and tested using 338 available sets of data obtained from 24 different published literature sources. Moreover, the artificial neural network and three types of radial basis function neural network models are applied to compare the efficiency of the proposed model. The statistical analysis results strongly showed that the proposed FRBFNN-BBO model has good performance in desirable accuracy for predicting the compressive strength of SCC with fly ash.

Design optimization of semi-rigid space steel frames with semi-rigid bases using biogeography-based optimization and genetic algorithms

  • Shallan, Osman;Maaly, Hassan M.;Sagiroglu, Merve;Hamdy, Osman
    • Structural Engineering and Mechanics
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    • v.70 no.2
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    • pp.221-231
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    • 2019
  • This paper performs for the first time a simultaneous optimization for members sections along with semi-rigid beam-to-column connections for space steel frames with fixed, semi-rigid, and hinged bases using a biogeography-based optimization algorithm (BBO) and a genetic algorithm (GA). Furthermore, a member's sections optimization for a fully fixed space frame is carried out. A real and accurate simulation of semi-rigid connection behavior is considered in this study, where the semi-rigid base connections are simulated using Kanvinde and Grilli (2012) nonlinear model, which considers deformations in different base connection components under the applied loads, while beam-to-column connections are modeled using the familiar Frye and Morris (1975) nonlinear polynomial model. Moreover, the $P-{\Delta}$ effect and geometric nonlinearity are considered. AISC-LRFD (2016) specification constraints of the stress and displacement are considered as well as section size fitting constraints. The optimization is applied to two benchmark space frame examples to inspect the effect of semi-rigidity on frame weight and drift using BBO and GA algorithms.

The Genus Acervus from Southwestern China and Northern Thailand

  • Zeng, Ming;Zhao, Qi;Gentekaki, Eleni;Hyde, Kevin D.;Zhao, Yongchang
    • Mycobiology
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    • v.48 no.6
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    • pp.464-475
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    • 2020
  • Acervus (Pyronemataceae, Pezizales) is a saprobic genus in Pezizomycetes, characterized by colored apothecia, subcylindrical to cylindrical asci and guttulate ascospores. We collected four Acervus samples from China and Thailand. Descriptions and illustrations are introduced for all fresh samples. One new record of A. globulosus from Thailand, one new species, A. rufus, two known species, A. epispartius and A. stipitatus from China are reported. Phylogenetic analysis based on five genes, the large subunit rRNA (LSU), the translation elongation factor-1 alpha (tef1-α), the second largest subunit of RNA polymerase II (rpb2), the largest subunit of RNA polymerase II (rpb1), and the small subunit rRNA (SSU), revealed the distinct position of the new species. The new species is set apart by its red apothecia. A key to Acervus species is also given.