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Core–shell nanoparticles suppress metastasis and modify the tumour-supportive activity of cancer-associated fibroblasts

Dávid Kovács, Nóra Igaz, Annamária Marton, Andrea Rónavári, Péter Bélteky, László Bodai, Gabriella Spengler, László Tiszlavicz, Zsolt Rázga, Péter Hegyi, Csaba Vizler, Imre M. Boros (+2 others)
2020 Journal of Nanobiotechnology  
This potential of metal nanomaterials should be exploited in multimodal treatment approaches and translated into improved therapeutic outcomes.  ...  Thus, using feasible in vitro and in vivo systems to model tumour microenvironment, we tested whether the presence of gold, silver or gold-core silver-shell nanoparticles exerts anti-tumour and metastasis  ...  A similar experiment was performed using BrdU incorporation assay as a read-out to measure cell proliferation.  ... 
doi:10.1186/s12951-020-0576-x pmid:31964403 fatcat:kponm7fc3rfl7hv4qpxsmgmkjm

Asia Pacific Stroke Conference 2020. Abstracts of the Annual Conference of the Asia Pacific Stroke Organization (APSO), Virtual Conference, Korea, December 4-6, 2020

Kay Sin Tan, Sun U Kwon, Keun-Hwa Jung, Joung-Ho Rha, Byung-Woo Yoon, Narayanaswamy Venketasubramanian
2020 Cerebrovascular Diseases  
A genome-wide association study (GWAS) was performed to identify the single nucleotide polymorphisms (SNPs) associated with the bleeding complications in the patients on DOACs.  ...  The purpose of this study is to identify the genetic factors associated with bleeding in Korean patients receiving DOACs.  ...  The optimal range of admission HbA1c were estimated to be below 6.8 to 7.0. More stringent glucose control may be justified in patients with small vessel occlusion subtype.  ... 
doi:10.1159/000513130 pmid:33264788 fatcat:7w5od6fyy5hb5mn3tncjsmvl44

Representation Learning for Web Intelligence

Yixuan Li
2017
This thesis work contributes to the field of machine learning in both algorithmic foundations and practical advances. The first part focuses on classification  ...  Through the lens of machine learning and machine vision, this thesis focuses on approaches of learning representations of web-scale data in perspectives of web user interaction and web content comprehension  ...  The algorithm's performance can be improved in general as the seed set size increases.  ... 
doi:10.7298/x4mc8x70 fatcat:cp6svdzywvgcjovgmmpomkbt3a

DATA AND TEXT MINING TECHNIQUES FOR IN-DOMAIN AND CROSS-DOMAIN APPLICATIONS

Presentata Da:, Giacomo Domeniconi, Coordinatore Dottorato, Ciaccia Paolo, Relatore, Moro Gianluca, Claudio Tutor, Sartori
unpublished
Our approach outperforms the best accuracy achieved in ) of 49.66%, in particular we obtain the highest improvement in large datasets, i.e. in the Danio rerio dataset there is an improvement of 104.56%  ...  These two approaches are often combined into Hybrid Recommender Systems. Each type of system has its own strengths and weaknesses.  ... 
fatcat:pt7nek5ogfah3pcqzowe74vueq