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Institution

Institute of Chartered Accountants of Nigeria

About: Institute of Chartered Accountants of Nigeria is a based out in . It is known for research contribution in the topics: Population & Adipose tissue. The organization has 528 authors who have published 579 publications receiving 18688 citations.


Papers
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Journal ArticleDOI
01 Dec 2013
TL;DR: Observations in morbidly obese subjects suggest that the amount of fibrosis might hamperFat mass loss induced by surgery, and the contribution of ECM modifications and the consequence of fibrous depots is understood.
Abstract: White adipose tissue is composed of mature adipocytes, precursors (preadipocytes), endothelial cells, macrophages and other immune cells. The phenotype, amount and biology of each adipose tissue component are profoundly altered in human obesity. Low-grade inflammation both at the local and systemic levels characterizes obesity and appears to have a key role in mediating the consequence of increase adipose tissue mass on metabolic and vascular comorbidities. Moreover, a new concept of accumulation of extracellular matrix (ECM) components in adipose tissue has been recently proposed. Integrity of the ECM is essential for the proper development of adipose tissue in a physiological context. In pathologic conditions, more knowledge is nevertheless necessary to understand the contribution of ECM modifications and the consequence of fibrous depots. Observations in morbidly obese subjects suggest that the amount of fibrosis might hamper fat mass loss induced by surgery.
Journal ArticleDOI
TL;DR: This case report demonstrates that chronic GGF can occur when a downstream stenosis is associated and is not well standardized but mandatory and depends on the fistula location, local conditions, and of the communication with an adjacent organ.
Posted ContentDOI
03 May 2020-bioRxiv
TL;DR: This study highlights the potential of deep histopathology in hematology by unveiling the fundamental association of BM morphology with genetic and clinical determinants through morphological features in elastic net-regularized regression models.
Abstract: In myelodysplastic syndrome (MDS), bone marrow (BM) histopathology is visually assessed to identify dysplastic cellular morphology, cellularity, and blast excess. Yet, many morphological findings elude the human eye. Here, we extracted visual features of 236 MDS, 87 MDS/MPN, and 10 control BM biopsies with convolutional neural networks. Unsupervised analysis distinguished underlying correlations between tissue composition, leukocyte metrics, and clinical characteristics. We applied morphological features in elastic net-regularized regression models to predict genetic and cytogenetic aberrations, prognosis, and clinical variables. By parallelizing tile, pixel, and leukocyte-level image analysis, we deconvoluted each model to texture and cellular composition to dissect their pathobiological context. Model-based mutation predictions correlated with variant allele frequency and number of affected genes per pathway, demonstrating the models’ ability to identify relevant visual patterns. In summary, this study highlights the potential of deep histopathology in hematology by unveiling the fundamental association of BM morphology with genetic and clinical determinants.
Journal ArticleDOI
TL;DR: Cationic polyacrylamide (CPAM) was prepared in aqueous solution by free radical polymerization of methacryloyloxy ethyl trimethylammonium chloride (DMC) and acrylamides (AM).
Abstract: Cationic polyacrylamide (CPAM) was prepared in aqueous solution by free radical polymerization of methacryloyloxy ethyl trimethylammonium chloride (DMC) and acrylamide (AM). A redox initia...

Authors

Showing all 528 results

NameH-indexPapersCitations
Ronald M. Evans199708166722
Thierry Poynard11966864548
Heikki Joensuu10857150300
Gilles Montalescot10064158644
François Cambien9225136260
Antoine Danchin8048330219
Laurence Tiret7919425231
Karine Clément7827532185
Karine Clément7322814710
Pascal Ferré6924123969
Michael T. Osterholm6826022624
Vincent Jarlier6727817060
Florent Soubrier6722624486
Stephen H. Caldwell6630818527
Christian Funck-Brentano6426770432
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202168
202073
201950
201848
201793
201686