Výsledky vyhledávání - "Jingchuan Zhang"

Akademický článek

Real-world treatment patterns and clinical outcomes from a retrospective chart review study of patients with recurrent or advanced endometrial cancer who progressed following prior systemic therapy in Europe

Autor: Christian Marth, Vimalanand S Prabhu, Jingchuan Zhang, Sneha S Kelkar, Véronique Grall, Nicola Miles, Yao Qiao

Publikováno v: BMJ Open, Vol 14, Iss 4 (2024)

Objective To evaluate real-world treatment patterns and clinical outcomes in recurrent/advanced endometrial cancer patients who progressed following prior systemic therapy in clinical practice in Europe.Design Endometrial Cancer Health Outcomes-Europ

Externí odkaz: https://doaj.org/article/5f18f1b66ce94919be4398f42a86529f

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Akademický článek

A two-stage multiobjective evolutionary ensemble learning for silicon prediction in blast furnace

Autor: Qiang Li, Jingchuan Zhang, Wenhao Wang, Xianpeng Wang

Publikováno v: Complex & Intelligent Systems, Vol 10, Iss 1, Pp 1639-1660 (2023)

Abstract Silicon content of molten iron is an important indicator in the blast furnace ironmaking process. Accurate prediction of silicon content is very important for monitoring the operating condition of the blast furnace and the quality of the mol

Externí odkaz: https://doaj.org/article/bffedf80300c457ea089d5ab192b010d

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Akademický článek

Treatment patterns and real-world clinical outcomes in patients with advanced endometrial cancer that are non-microsatellite instability high (non-MSI-high) or mismatch repair proficient (pMMR) in the United States

Autor: Sneha S. Kelkar, Vimalanand S. Prabhu, Jingchuan Zhang, Shelby Corman, Cynthia Macahilig, Nifasha Rusibamayila, Shardul Odak, Linda R. Duska

Publikováno v: Gynecologic Oncology Reports, Vol 42, Iss , Pp 101026- (2022)

Objective: Microsatellite instability (MSI) due to defective DNA mismatch repair has emerged as an actionable biomarker in advanced endometrial cancer (aEC). Currently, there are no treatment patterns and outcomes data in non-MSI-high (non-MSI-H) or

Externí odkaz: https://doaj.org/article/a916679bb4a54c5c8f4f2c4843211a54

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Akademický článek

Fiber Optic Acoustic Vibration Sensors for Ultrasound Measurement in Low-Pressure CO₂ Environment

Autor: Jingchuan Zhang, Yifei Pei, Xiyuan Li

Publikováno v: IEEE Access, Vol 8, Pp 144393-144400 (2020)

The detection of acoustic signals in the Martian environment is significant to understand the issues such as the evolution of the universe, structure of matter, origin of life, and future migration of humans. We proposed a method for testing ultrason

Externí odkaz: https://doaj.org/article/20128ea0d31748f6ada13b90d9d8b2d3

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Akademický článek

Monitoring a Heatsink Temperature Field Using Raman-Based Distributed Temperature Sensor in a Vacuum and −173 °C Environment

Autor: Jingchuan Zhang, Peng Wei, Qingbo Liu

Publikováno v: Sensors, Vol 19, Iss 19, p 4186 (2019)

A heatsink is a large experimental device which is used to simulate the outer space environment. In this paper, a Raman-based distributed temperature sensor was used for real-time and continuous heatsink temperature monitoring, and a special Raman-ba

Externí odkaz: https://doaj.org/article/91ed61f7f13044d9810b8e725e7eb4c4

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Akademický článek

Patient-Derived Gastric Carcinoma Xenograft Mouse Models Faithfully Represent Human Tumor Molecular Diversity.

Autor: Tianwei Zhang, Lin Zhang, Shuqiong Fan, Meizhuo Zhang, Haihua Fu, Yuanjie Liu, Xiaolu Yin, Hao Chen, Liang Xie, Jingchuan Zhang, Paul R Gavine, Yi Gu, Xingzhi Ni, Xinying Su

Publikováno v: PLoS ONE, Vol 10, Iss 7, p e0134493 (2015)

Patient-derived cancer xenografts (PDCX) generally represent more reliable models of human disease in which to evaluate a potential drugs preclinical efficacy. However to date, only a few patient-derived gastric cancer xenograft (PDGCX) models have b

Externí odkaz: https://doaj.org/article/29281e4e39c0447899b7089efedb4b45

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