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TUẤN TRẦN

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TUẤN TRẦN’s Biography

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Tuấn Trần là Founder @ Media Gyancy và là Digital Marketing Expert với kinh nghiệm lâu năm đặc biệt về SEO, Paid Media.
Website: https://mediagyancy.com/tuan-tran/
Phone: 0932977369
Trụ sở MG tại số 238/2 Hoàng Diệu 2, P. Linh Chiểu, Tp. Thủ Đức
Google maps : https://maps.app.goo.gl/AHkjLYge72Jxc39i6

tuantran.mediagyancy #tuantran.mg #tuantran.gyancy

Articles

Integrated evaluation of antibody responses to mosquitoes and mosquito-borne pathogens using highly multiplexed serology

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By Kevin Jaksch, Hoang Phan, Mukund Palat Rao, Melodi N. Anahtar, Eben P. Philbin, Joshua R. Lacsina, Jesus Valenzuela, Michael A. Johansson, Fabiano Oliveira, Laura Willen, Shaden Kamhawi, Auden Cote-L’Heureux, Peter Crompton, TUẤN TRẦN, Tuan Tran, Sarah Fortune, Daniel E. Neafsey, Diana Striplet
| Science Magazine Verified
Abstract INTRODUCTION RESULTS DISCUSSION MATERIALS AND METHODS Acknowledgments Supplementary Materials REFERENCES Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Vector-borne diseases (VBDs) are a leading cause of morbidity and mortality worldwide.
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Ecotypes of triple-negative breast cancer in response to chemotherapy

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By Yun Yan, Yiyun Lin, Tapsi Kumar, Shanshan Bai, Aatish Thennavan, Jianzhuo Li, Emi Sei, TUẤN TRẦN, Tuan Tran, Min Hu, Mitchell Rao, Chenling Tang, Siyuan He, Anna K Casasent, Debu Tripathy, Alastair Thompson, Lei Huo, Stacy L. Moulder, Clinton Yam, Nicholas E Navin, Elizabeth Ravenberg, Gaiane Margishvili Rauch, Alyson R. Clayborn
| Nature Verified
Abstract Triple-negative breast cancer (TNBC) is an aggressive subtype that is frequently treated with chemotherapy, but only half of the patients respond well and have good clinical outcome1,2. Here we leveraged pretreatment tissue samples from treatment-naive patients with TNBC who received neoadjuvant chemotherapy and performed single-cell transcriptomic analysis of 427,857 cells from 101 patients and spatial transcriptomic analysis of 44 patients.
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Tuning TiO 2 Memristors by Defect Engineering: From Short-Term Memory to Recoverable Long-Term Resistance States Click to copy article link Article link copied!

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By Rajdeep Kaur, TUẤN TRẦN, Tuan Tran, Rebecka Lindblad
| dx.doi.org
1. Introduction Click to copy section linkSection link copied! With rapidly evolving information technology and artificial intelligence (AI) on one hand, and complementary metal-oxide semiconductor (CMOS) scaling approaching its physical constraints on the other, the search for more innovative solutions for data storage and computation has become critical.
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