Petrosia ficiformis (Poiret, 1789): an excellent model for holobiont and biotechnological studies

2022 ◽  
Vol 74 ◽  
pp. 61-65
Author(s):  
Carlo Cerrano ◽  
Marco Giovine ◽  
Laura Steindler
Keyword(s):  
Peptidomics ◽  
2007 ◽  
pp. 25-54 ◽  
Author(s):  
Peter D. E. M. Verhaert ◽  
Martijn W. H. Pinkse ◽  
Maria C. Prieto-Conaway ◽  
Markus Kellmann

1995 ◽  
Vol 7 (3) ◽  
pp. 517 ◽  
Author(s):  
T Zakar ◽  
DM Olson

The human amnion is an excellent model in which to study the regulation of the expression of prostaglandin endoperoxide H synthase-2 (PGHS-2) mRNA by glucocorticoids, as glucocorticoids can both stimulate and inhibit PGHS activity and can have their stimulatory effect reversed to an inhibitory one. Our studies suggest the presence of a glucocorticoid-induced inhibitory protein which affects the post-transcriptional activity of PGHS-2 mRNA. Glucocorticoid-induced expression of PGHS-2 mRNA may be dependent on protein phosphorylation.


2020 ◽  
pp. 1037969X2096286
Author(s):  
Anita Mackay

In 2018, the Corrective Services Administrators’ Council updated the Standard Guidelines for Corrections in Australia (2012), renaming them the Guiding Principles for Corrections in Australia. This was an opportunity to ensure alignment with the 2015 United Nations Mandela Rules. However, the Guiding Principles are less aligned with the Mandela Rules than the 2012 Guidelines were. That is, they represent a step backwards. This article examines this missed opportunity to improve prison practice in three areas of frequent human rights violations of imprisoned people: (1) solitary confinement, (2) bodily searches and (3) use of restraints. It argues that the ACT Standards for Adult Correctional Services provide an excellent model for national guidance that should replace the Guiding Principles.


2017 ◽  
Vol 61 ◽  
pp. 72-97 ◽  
Author(s):  
C. Ellis Wisely ◽  
Javed A. Sayed ◽  
Heather Tamez ◽  
Chris Zelinka ◽  
Mohamed H. Abdel-Rahman ◽  
...  

2011 ◽  
Vol 2011 ◽  
pp. 1-7 ◽  
Author(s):  
Jia-Ying Zhu ◽  
Gong-Yin Ye ◽  
Cui Hu

Parasitoid venom is a focal research point in the biological control area, which aims to explore its physiological functions and nature.Pteromalus puparumis a gregarious pupal endoparasitoid wasp which has evolved unique means to adopt the host's immune system, as no other parasitoid-associated factors other than venom are injected into its hosts during oviposition. It represents an excellent model for research of parasitoid venom. In this paper, information was gathered on outcomes ofP. puparumvenom. We first began this paper by examining its functional properties. Next, we reviewed the nature of this parasitoid's venom components. Even great achievements have been made, further research is required to uncover the sophisticated bioactivity of the venom and isolate more novel toxic peptides/proteins.


2015 ◽  
Vol 6 (1) ◽  
pp. 21 ◽  
Author(s):  
Kalaivani Annadurai ◽  
Raja Danasekaran ◽  
Geetha Mani

2018 ◽  
Vol 256 ◽  
pp. 89-99 ◽  
Author(s):  
C.A. Rajabu ◽  
G.G. Kennedy ◽  
J. Ndunguru ◽  
E.M. Ateka ◽  
F. Tairo ◽  
...  

2014 ◽  
Vol 9 (2) ◽  
pp. 202-213 ◽  
Author(s):  
Jing Cao

AbstractThere has been ongoing interest in studying wine judges' performance in evaluating wines. Most of the studies have reached a similar conclusion: a significant lack of consensus exists in wine quality ratings. However, a few studies, to the author's knowledge, have provided direct quantification of how much consensus (as opposed to randomness) exists in wine ratings. In this paper, a permutation-based mixed model is proposed to quantify randomness versus consensus in wine ratings. Specifically, wine ratings under the condition of randomness are generated with a permutation method, and wine ratings under the condition of consensus can be produced by sorting the ratings for each judge. Then the observed wine ratings are modeled as a mixture of ratings under randomness and ratings under consensus. This study shows that the model can provide excellent model fit, which indicates that wine ratings, indeed, consist of a mixture of randomness and consensus. A direct measure is easily computed to quantify randomness versus consensus in wine ratings. The method is demonstrated with data analysis from a major wine competition and a simulation study. (JEL Classifications: C10, C13, C15)


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