Results 141 to 150 of about 36,020 (306)

Programmable RNA N6,2´‐O‐Dimethyladenosine Editing

Advanced Science, EarlyView.
ABSTRACT N6,2’‐O‐dimethyladenosine (m6Am) is a prevalent RNA modification located at the first transcribed nucleotide adjacent to the 5′ cap of mRNAs, where it has been implicated in gene regulation. However, the lack of methods for precise, transcript‐specific manipulation of m6Am has limited its functional dissection.
Yang Li, Xiangmin Tan, Yaran Liu, Yongquan He, Bo Yuan, Ping Wang, Guangzhi Ma, Mengzhe Guo, Jian Zhou, Qiang Sun   +9 more
wiley   +1 more source

Alternating conditional expectation (ACE) algorithm and supervised classification models for rapid determination and classification of the adulterated cinnamon samples using diffuse reflectance FT-IR spectroscopy

Zahra S. Hajiseyedrazi, Mohammadreza Khanmohammadi, Mahsa Mohammadi   +2 more
openalex   +1 more source

PRMT5/Sohlh2/Sirt1 Signaling Pathway in Vascular Endothelial Cells Modulates Lung Metastasis of Triple‐Negative Breast Cancer

Advanced Science, EarlyView.
The cover image shows that vascular endothelial cells play an important role in lung metastasis of TNBC. Endothelial Sohlh2 acts as a gatekeeper against TNBC lung metastasis by limiting endothelial activation and tumor cell passage. PRMT5 reduces Sohlh2 stability, weakening this protective barrier.
Ruihong Zhang, Fengqin Wang, Lanlan Liu, Qi Zhang, Xiaoning Huo, Yanhui Nan, Yanli Dong, Yunling Xiao, Jing Hao   +8 more
wiley   +1 more source

What type of relationship is learned during visual statistical learning? [PDF]

PLoS One
Nazlı İ, de Lange FP.
europepmc   +1 more source

Conditional Expectation of a Markov Kernel Given Another with Some Applications in Statistical Inference and Disease Diagnosis [PDF]

, 2013
Agustín García Nogales
openalex   +1 more source

Machine Learning for Designing Perovskites and Perovskite‐Inspired Solar Materials: Emerging Opportunities and Challenges

Advanced Science, EarlyView.
This review offers a comprehensive comparison between perovskites and perovskite‐inspired materials (PIMs), focusing on their crystal structures, electronic properties, and chemical compositions. It evaluates the applicability of machine learning (ML) descriptors and models across both material classes.
Yangfan Zhang, Yiming Xia, Ali Shakiba, Hongrui Zhang, Xiaojing Hao, Priyank V. Kumar, Mahesh P. Suryawanshi   +6 more
wiley   +1 more source

Geometric moment-based spectral descriptors for robust non-rigid 3D shape analysis. [PDF]

Sci Rep
Zhang D, Liu N, Wu Z, Lv C, Zhao D.
europepmc   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Modelling the Proportions with Excessive Endpoints Based on a Generalized Lindley Binomial Model. [PDF]

J Stat Theory Appl
Deng D, Zhang X.
europepmc   +1 more source

Rejoinder: A Forced Critique of the Intergenerational Elasticity of the Conditional Expectation

, 2020
Pablo A. Mitnik, David B. Grusky
openalex   +1 more source