Results 181 to 190 of about 214,513 (262)

Bayesian Tensor Decomposition for Clustering Latent Symptom Profiles for Verbal Autopsy Data. [PDF]

Stat Med
Zhu Y, Li ZR.
europepmc   +1 more source

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

Conditional Versus Unconditional Covariate Effects in Pharmacometric Models: Implications for Interpretation, Communication, and Reporting. [PDF]

CPT Pharmacometrics Syst Pharmacol
Jonsson EN, Jönsson S, Hansson E, Nyberg J.   +3 more
europepmc   +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

Signpost Testing to Navigate the Parameter Space of the Gaussian Graphical Model With High-Dimensional Data. [PDF]

Biom J
Ruan K, van de Wiel MA, van Wieringen WN.   +2 more
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

TAN-FGBMLE: Tree-Augmented Naive Bayes Structure Learning Based on Fast Generative Bootstrap Maximum Likelihood Estimation for Continuous-Variable Classification. [PDF]

Entropy (Basel)
Wei C, Zhang T, Li C, Wang P, Ye Z.
europepmc   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Socioeconomic Gauging of Brown and Levy Power Motions. [PDF]

Entropy (Basel)
Eliazar I.
europepmc   +1 more source