Výsledky vyhledávání

Akademický článek

Differentiation of bone marrow mesenchymal stem cells into cardiomyocytes with FGF-2 and Panax notoginseng saponins

Autor: DONG Zihan, WANG Haiping, LYU Yang

Publikováno v: 陆军军医大学学报, Vol 46, Iss 21, Pp 2415-2423 (2024)

Objective To investigate the effects of basic fibro-blast growth factor (FGF-2) and Panax notoginseng saponins (PNS) alone or combined together on the differentiation of bone marrow mesenchymal stem cells (BMSCs) into cardiomyocytes (CMs) and the mec

Externí odkaz: https://doaj.org/article/007ed02631614df1befefe38249569cf

Zobrazit plný text záznamu

Report

FNSPID: A Comprehensive Financial News Dataset in Time Series

Autor: Dong, Zihan, Fan, Xinyu, Peng, Zhiyuan

Financial market predictions utilize historical data to anticipate future stock prices and market trends. Traditionally, these predictions have focused on the statistical analysis of quantitative factors, such as stock prices, trading volumes, inflat

Externí odkaz: http://arxiv.org/abs/2402.06698

Zobrazit plný text záznamu

Report

Students' Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming

Autor: Zhang, Zhengdong, Dong, Zihan, Shi, Yang, Matsuda, Noboru, Price, Thomas, Xu, Dongkuan

The rapid evolution of artificial intelligence (AI), specifically large language models (LLMs), has opened opportunities for various educational applications. This paper explored the feasibility of utilizing ChatGPT, one of the most popular LLMs, for

Externí odkaz: http://arxiv.org/abs/2312.11567

Zobrazit plný text záznamu

Report

Enhancing Bloodstain Analysis Through AI-Based Segmentation: Leveraging Segment Anything Model for Crime Scene Investigation

Autor: Dong, Zihan, Zhang, ZhengDong

Bloodstain pattern analysis plays a crucial role in crime scene investigations by providing valuable information through the study of unique blood patterns. Conventional image analysis methods, like Thresholding and Contrast, impose stringent require

Externí odkaz: http://arxiv.org/abs/2308.13979

Zobrazit plný text záznamu

Akademický článek

LDER-GE estimates phenotypic variance component of gene–environment interactions in human complex traits accurately with GE interaction summary statistics and full LD information.

Autor: Dong, Zihan^1,2 (AUTHOR), Jiang, Wei¹ (AUTHOR), Li, Hongyu¹ (AUTHOR), DeWan, Andrew T^2,3 (AUTHOR) hongyu.zhao@yale.edu, Zhao, Hongyu¹ (AUTHOR) hongyu.zhao@yale.edu

Publikováno v: Briefings in Bioinformatics. Jul2024, Vol. 25 Issue 4, p1-12. 12p.

Zobrazit plný text záznamu

Plný text ve formátu HTML