scispace - formally typeset
Search or ask a question
Institution

University of Adelaide

EducationAdelaide, South Australia, Australia
About: University of Adelaide is a education organization based out in Adelaide, South Australia, Australia. It is known for research contribution in the topics: Population & Poison control. The organization has 27251 authors who have published 79167 publications receiving 2671128 citations. The organization is also known as: The University of Adelaide & Adelaide University.


Papers
More filters
Journal ArticleDOI
TL;DR: Studies in mouse models show that Treg cells are essential for maternal tolerance of the conceptus, and that expansion of the Treg cell pool through antigen-specific and antigen non-specific pathways allows their suppressive actions to be exerted in the critical peri-implantation phase of pregnancy.
Abstract: results: Studies in mouse models show that Treg cells are essential for maternal tolerance of the conceptus, and that expansion of the Treg cell pool through antigen-specific and antigen non-specific pathways allows their suppressive actions to be exerted in the critical peri- implantation phase of pregnancy. In women, Treg cells accumulate in the decidua and are elevated in maternal blood from early in the first trimester. Inadequate numbers of Treg cells or their functional deficiency are linked with infertility, miscarriage and pre-eclampsia. conclusions: The potency and wide-ranging involvement of Treg cells in immune homeostasis and disease pathology indicates the considerable potential of these cells as therapeutic agents, raising the prospect of their utility in novel treatments for reproductive pathologies.

434 citations

Journal ArticleDOI
TL;DR: It is concluded that when considering the physiology of the symbiosis and especially the issue of whether different fungus/host interfaces have specialized roles in transfer of inorganic nutrients and organic carbon between the partners, if there is no such specialization between hyphai coils and arbuscules, then the latter might not be necessary for the function of Paris-types.
Abstract: summary This review describes diversity in the structure of (vesicular)-arbuscutar (VA) mycorrhizas, i.e. endomycorrhizas formed by Glomalean fungi. In particular, we consider the extent in the plant kingdom of the two classes first described by Gallaud (1905). These are: (1) the Arum-type, defined on the basis of an extensive intercellular phase of hyphai growth in the root cortex and development of terminal arbuscules on intracellular hyphai branches; (2) the Paris-type, defined by the absence of the intercellular phase and presence of extensive intracellular hyphai coils. Arbuscules are intercalary structures on the coils. However, there have been many reports that in Paris-types arbuscules are relatively few in numbers, small, or absent altogether. A survey of the literature has revealed that Paris-types occur more frequently in the plant kingdom than Arum-types and predominate in ferns, gymnosperms and many wild angiosperms. The cultivated herbs that are the subject of much experimental work are mostly Arum-types. Although evidence is still limited, there are differences at the family level. In 41 angiosperm families there are records of only Poris-type VA mycorrhizas and in 30 families records of only Arum-types. Another 21 families have examples of both classes, or intermediates between them. Accordingly, we consider whether the original division into two classes is still useful. We conclude that it is when considering the physiology of the symbiosis and especially the issue of whether different fungus/host interfaces have specialized roles in transfer of inorganic nutrients and organic carbon between the partners, if there is no such specialization between hyphai coils and arbuscules, then the latter might not be necessary1 for the function of Paris-types. This would account for reports of the infrequency or absence of arbuscules in this class. The control exerted on structures by the genomes of host and fungus, and possible reasons (anatomical and physiological) for the existence of the VA mycorrhizal structures, are discussed. The presence or absence of extensive intercellular spaces and differences in the wall structure of cortical cells might be particularly important in determining which type of VA mycorrhiza is formed.

434 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examine some of the more recent major blackouts and discuss the root causes and dynamics of these events, identifying high-level conclusions and recommendations for improving system dynamic performance and reducing the risk of such catastrophic events.
Abstract: This paper examines some of the more recent major blackouts and discusses some of the root causes and dynamics of these events. The paper aims to identify high-level conclusions and recommendations for improving system dynamic performance and reducing the risk of such catastrophic events

434 citations

Journal ArticleDOI
TL;DR: A foundation for the more accurate and widespread use of real-time RT-PCR in tobacco is provided by analysing the expression stability of eight potential tobacco reference genes.
Abstract: Real-time RT-PCR is a powerful technique for the measurement of gene expression, but its accuracy depends on the stability of the internal reference gene(s) used for data normalization. Tobacco (Nicotiana tabacum) is an important model in studies of plant gene expression, but stable reference genes have not been well-studied in the tobacco system. We address this problem by analysing the expression stability of eight potential tobacco reference genes. Primers targeting each gene (18S rRNA, EF-1α, Ntubc2, α- and β-tubulin, PP2A, L25 and actin) were developed and optimized. The expression of each gene was then measured by real-time PCR in a diverse set of 22 tobacco cDNA samples derived from developmentally distinct tissues and from plants exposed to several abiotic stresses. L25 and EF-1α demonstrated the highest expression stability, followed by Ntubc2. Measurement of L25 and EF-1α was sufficient for accurate normalization in either the developmental or stress-treated samples, but Ntubc2 was also required when considering the entire sample set. Analysis of a tobacco circadian gene (NTCP-23) verified these reference genes in an additional context, and all techniques were optimized to enable a high-throughput approach. These results provide a foundation for the more accurate and widespread use of real-time RT-PCR in tobacco.

433 citations

Posted Content
TL;DR: Zhang et al. as mentioned in this paper proposed a multi-label classification model based on Graph Convolutional Network (GCN), where each node (label) is represented by word embeddings of a label, and GCN is learned to map this label graph into a set of inter-dependent object classifiers.
Abstract: The task of multi-label image recognition is to predict a set of object labels that present in an image. As objects normally co-occur in an image, it is desirable to model the label dependencies to improve the recognition performance. To capture and explore such important dependencies, we propose a multi-label classification model based on Graph Convolutional Network (GCN). The model builds a directed graph over the object labels, where each node (label) is represented by word embeddings of a label, and GCN is learned to map this label graph into a set of inter-dependent object classifiers. These classifiers are applied to the image descriptors extracted by another sub-net, enabling the whole network to be end-to-end trainable. Furthermore, we propose a novel re-weighted scheme to create an effective label correlation matrix to guide information propagation among the nodes in GCN. Experiments on two multi-label image recognition datasets show that our approach obviously outperforms other existing state-of-the-art methods. In addition, visualization analyses reveal that the classifiers learned by our model maintain meaningful semantic topology.

433 citations


Authors

Showing all 27579 results

NameH-indexPapersCitations
Martin White1962038232387
Nicholas G. Martin1921770161952
David W. Johnson1602714140778
Nicholas J. Talley158157190197
Mark E. Cooper1581463124887
Xiang Zhang1541733117576
John E. Morley154137797021
Howard I. Scher151944101737
Christopher M. Dobson1501008105475
A. Artamonov1501858119791
Timothy P. Hughes14583191357
Christopher Hill1441562128098
Shi-Zhang Qiao14252380888
Paul Jackson141137293464
H. A. Neal1411903115480
Network Information
Related Institutions (5)
University of Melbourne
174.8K papers, 6.3M citations

97% related

University of British Columbia
209.6K papers, 9.2M citations

92% related

McGill University
162.5K papers, 6.9M citations

92% related

University of Edinburgh
151.6K papers, 6.6M citations

92% related

Imperial College London
209.1K papers, 9.3M citations

91% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023127
2022597
20215,500
20205,342
20194,803
20184,443