Results 131 to 140 of about 1,581,448 (326)

Topological identification and interpretation for single-cell epigenetic regulation elucidation in multi-tasks using scAGDE

Nature Communications
Single-cell ATAC-seq technology advances our understanding of single-cell heterogeneity in gene regulation by enabling exploration of epigenetic landscapes and regulatory elements.
Gaoyang Hao, Yi Fan, Zhuohan Yu, Yanchi Su, Haoran Zhu, Fuzhou Wang, Xingjian Chen, Yuning Yang, Guohua Wang, Ka-chun Wong, Xiangtao Li   +10 more
doaj   +1 more source

An Energy Efficiency Optimization Method for Electric Propulsion Units during Electric Seaplanes’ Take-Off Phase

Aerospace
The electric seaplane, designed for take-off and landing directly on water, incorporates additional structures such as floats to meet operational requirements.
Shuli Wang, Ziang Li, Qingxin Zhang
doaj   +1 more source

Computational aerodynamics and artificial intelligence [PDF]

The general principles of artificial intelligence are reviewed and speculations are made concerning how knowledge based systems can accelerate the process of acquiring new knowledge in aerodynamics, how computational fluid dynamics may use expert systems,
Kutler, P., Mehta, U. B.
core   +1 more source

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

Dual-Redundancy Electric Propulsion System for Electric Helicopters Based on Extended State Observer and Master–Slave Fault-Tolerant Control

Aerospace
To improve the reliability and fault tolerance of electric helicopter propulsion systems, this paper presents a master–slave fault-tolerant control method based on an extended state observer (ESO) for dual-redundant electric propulsion systems that ...
Shuli Wang, Zhenyu Du, Qingxin Zhang
doaj   +1 more source

Multicolor Optoelectronic Synapse Enabled by Photon‐Modulated Remote Doping in Solution‐Processed Van Der Waals Heterostructures

Advanced Functional Materials, EarlyView.
Multicolor optoelectronic synapses are realized by vertically integrating solution‐processed MoS2 thin‐film and SWCNT. The electronically disconnected but interactive MoS2 enables photon‐modulated remote doping, producing a bi‐directional photoresponse.
Jihyun Kim, Hyunbin Kim, Gang Jin Cheon, Dohyun Lee, In Soo Kim, Uiyeon Won, Jongseok Lee, Sang Min Won, Joohoon Kang   +8 more
wiley   +1 more source

Entropy-Based Data Selection for Language Models

IEEE Access
Modern language models (LMs) increasingly require two critical resources: computational resources and data resources. Data selection techniques can effectively reduce the amount of training data required for fine-tuning LMs.
Hongming Li, Yang Liu, Chao Huang
doaj   +1 more source

A Functional Contextual Account of Background Knowledge in Categorization: Implications for Artificial General Intelligence and Cognitive Accounts of General Knowledge. [PDF]

Front Psychol, 2022
Edwards DJ, McEnteggart C, Barnes-Holmes Y.   +2 more
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Development and validation of machine learning models to predict MDRO colonization or infection on ICU admission by using electronic health record data

Antimicrobial Resistance and Infection Control
Background Multidrug-resistant organisms (MDRO) pose a significant threat to public health. Intensive Care Units (ICU), characterized by the extensive use of antimicrobial agents and a high prevalence of bacterial resistance, are hotspots for MDRO ...
Yun Li, Yuan Cao, Min Wang, Lu Wang, Yiqi Wu, Yuan Fang, Yan Zhao, Yong Fan, Xiaoli Liu, Hong Liang, Mengmeng Yang, Rui Yuan, Feihu Zhou, Zhengbo Zhang, Hongjun Kang   +14 more
doaj   +1 more source