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Incorporating physiological knowledge into correlative species distribution models minimizes bias introduced by the choice of calibration area

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Marine Life Science & Technology 2024年第2期6卷 349-362页

作者： Zhixin Zhang Jinxin Zhou jorge García Molinos Stefano Mammola Ákos Bede‑Fazekas Xiao Feng Daisuke Kitazawa jorge assis Tianlong Qiu Qiang Lin CAS Key Laboratory of Tropical Marine Bio-resources and Ecology South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China Guangdong Provincial Key Laboratory of Applied Marine Biology South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China Marine Biodiversity and Ecological Evolution Research Center South China Sea Institute of OceanologyGuangzhou 510301China Global Ocean and Climate Research Center South China Sea Institute of OceanologyGuangzhou 510301China Institute of Industrial Science The University of Tokyo5-1-5 KashiwanohaKashiwaChiba 277-8574Japan Arctic Research Center Hokkaido UniversitySapporoHokkaido 001-0021Japan Finnish Museum of Natural History University of HelsinkiHelsinkiFinland Molecular Ecology Group(MEG) Water Research Institute(IRSA)National Research Council of Italy(CNR)28922 Verbania PallanzaItaly National Biodiversity Future Center(NBFC) PalermoItaly Institute of Ecology and Botany HUN-REN Centre for Ecological ResearchVácrátótHungary Department of Environmental and Landscape Geography ELTE Eötvös Loránd UniversityBudapestHungary Department of Biology University of North CarolinaChapel HillNC 27599USA Centre of Marine Sciences University of AlgarveCampus de GambelasFaroPortugal CAS Key Laboratory of Experimental Marine Biology Institute of OceanologyChinese Academy of SciencesQingdao 266071China University of Chinese Academy of Sciences Beijing 100049China

Correlative species distribution models(SDMs)are important tools to estimate species’geographic distribution across space and time,but their reliability heavily relies on the availability and quality of occurrence *** can be biased when occurrences do not fully represent the environmental requirement of a *** tested to what extent species’physiological knowledge might influence SDM *** on the Japanese sea cucumber Apostichopus japonicus within the coastal ocean of East Asia,we compiled a comprehensive dataset of occurrence *** then explored the importance of incorporating physiological knowledge into SDMs by calibrating two types of correlative SDMs:a naïve model that solely depends on environmental correlates,and a physiologically informed model that further incorporates physiological information as *** further tested the models’sensitivity to calibration area choices by fitting them with different buffered areas around known *** with naïve models,the physiologically informed models successfully captured the negative influence of high temperature on *** and were less sensitive to the choice of calibration *** naïve models resulted in more optimistic prediction of the changes of potential distributions under climate change(i.e.,larger range expansion and less contraction)than the physiologically informed *** findings highlight benefits from incorporating physiological information into correlative SDMs,namely mitigating the uncertainties associated with the choice of calibration *** these promising features,we encourage future SDM studies to consider species physi-ological information where available.

关键词： Bayesian approach Climate change Habitat suitability Physiological knowledge Species distribution model

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希望是一剂良药——请大胆去用吧

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英国医学杂志中文版 2018年第10期21卷 553-554页

作者： Rodrigo A Bressan Eduardo Iacoponi jorge Candido de assis Sukhi S Shergill 任倩(译) Institute of Psychiatry Psychology and Neuroscienee King' s College London Brazilian Association of Families Friends and People with Schizophrenia SaoPaulo Institute of Psychiatry Psychology and Neuroscience King' s College London 北京大学人民医院内分泌科

只要当过患者，或者当过陪患者看病的家属，每个人都会意识到医患关系的重要性。这种关系的核心是患者需要知道问题在哪里，要得到理解，要看到希望。尽管大家都知道希望是战胜任何疾病的基础，但是在给予希望的过程中，临床医生的作用... 详细信息

只要当过患者，或者当过陪患者看病的家属，每个人都会意识到医患关系的重要性。这种关系的核心是患者需要知道问题在哪里，要得到理解，要看到希望。尽管大家都知道希望是战胜任何疾病的基础，但是在给予希望的过程中，临床医生的作用却依赖于个人的经历和本能，并且被认为仅仅是一种独特的“医学技巧”。然而，实际上，希望是一个很实用的治疗手段，就像其他治疗手段一样，可以进行优化。

关键词：患者医疗卫生行业医疗训练医患关系

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Development and Characterization of Nanovesicles Containing Phenolic Compounds of Microalgae Spirulina Strain LEB-18 and Chlorella pyrenoidosa

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Advances in Materials Physics and Chemistry 2014年第1期4卷 6-12页

作者： Leticia Marques de assis Adriana Rodrigues Machado Amanda de Souza da Motta jorge Alberto Vieira Costa Leonor Almeida de Souza-Soares School of Chemistry and Food Federal University of Rio GrandeRio GrandeBrazil Federal Institute Sul-Rio-Grandense Campus PelotasVisconde da GracaPelotasBrazil Institute of Basic Health Sciences Federal University of Rio Grande do SulPorto AlegreBrazil

The objective of this study was to elaborate liposomes, through the lipid film hydration methodology, to nanoencapsulate phenolic compounds of Spirulina LEB-18 and Chlorella pyrenoidosa microalgae, and evaluate their physicochemical characteristics and storage stability for 21 days. The total phenolic compounds were evaluated using a calibration curve of gallic acid using methanol and ethanol as extraction solvents. The size and polydispersity index of nanovesicles were determined by light scattering and the percentage encapsulation efficiency was determined by a centrifugation process. The stability of the liposomes at storage time was measured by zeta potential for 21 days. The methanol extracts from Spirulina had a higher content of phenolic compounds (2.62 mg gallic acid·g-1 of microalgae) compared to the extracts of Chlorella. However, liposomes with ethanolic extracts of the two algae showed higher encapsulation efficiency. The value was higher (96.40%) for Chlorella. All samples obtained nanometric size, with the highest value obtained for the liposome containing ethanol extract of Chlorella (239 nm) differing significantly (p ≤ 0.05) from the others. The liposomes containing extracts of Spirulina were more stable during the 21 days of storage, whereas, those consisting of ethanol extract showed no significant difference (p ≤ 0.05) throughout this period.

关键词： Microalgae Phenols Encapsulation Liposome

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