Results 121 to 130 of about 55,553 (309)

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

SERS Facemask for Rapid and Portable Sensing Mycobacterium Tuberculosis Antigens for TB Screening

Advanced Science, EarlyView.
Our study introduced an Au─Ag embedded covalent organic framework (U@COF) ‐mediated facemask for sensing TB antigen ESAT‐6/CFP‐10 complex in clinical droplet samples toward TB screening. Practical analysis of clinical samples demonstrated the availability of our facemask, which is capable of identifying the TB subjects (N = 17) from healthy candidates (
Lingzhi Chen, Jiaqi Yu, Jing Xu, Lingqi Chen, Ninghao Zhang, Wenrui Li, Runmin Zeng, Xiaomin Luo, Yiqun Chang, Jiayin Lai, Wenshi Huang, Xiaochen Liang, Ting Zhao, Shanze Chen, Huaihong Cai, Yanguang Cong, Pinghua Sun, Jiang Pi, Xueqin Huang, Haibo Zhou, Junxia Zheng   +20 more
wiley   +1 more source

Multi‐Omics Insights Into the Mechanisms of Early Muscle Fiber Difference and Transformation Between Lean‐Type and Chinese Indigenous Pigs

Advanced Science, EarlyView.
Multi‐omics analyses uncover breed‐specific cis‐regulatory landscapes and higher‐order chromatin architectural differences that underlie early postnatal muscle fiber divergence in pigs. A super‐enhancer upstream of PPP3CB recruits MEF2C to activate PPP3CB transcription, while the PPP3CB–MEF2C positive feedback loop promotes oxidative muscle fiber ...
Shuailong Zheng, Hainan Wu, Min Liu, Kunpeng Wu, Shuntao Huang, Zulfiqar Ahmed, Lenox Pius, Mengjin Zhu, Dequan Xu   +8 more
wiley   +1 more source

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

Advanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu, Longfei Lv, Fan Zhang, Si Zhou, Weiwei Gao, Jijun Zhao   +5 more
wiley   +1 more source

Multivariate Density Estimation and Visualization [PDF]

This chapter examines the use of flexible methods to approximate an unknown density function, and techniques appropriate for visualization of densities in up to four dimensions. The statistical analysis of data is a multilayered endeavor.
Scott, David W.
core  

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source

Nonparametric Beta kernel estimator for long memory time series [PDF]

The paper introduces a new nonparametric estimator of the spectral density that is given in smoothing the periodogram by the probability density of Beta random variable (Beta kernel).
VAN BELLEGEM, Sébastien, BOUEZMARNI, Taoufik   +1 more
core   +3 more sources

Forest Fire Risk Mapping by Kernel Density Estimation

Croatian Journal of Forest Engineering, 2011
When evaluating wildland fires, well prepared forest fire risk maps are regarded as one of the most valuable tools for forest managers, and during the production stage of these maps, association between historical fire data and other factors, such as ...
Semih Kuter, Firdes Yenilmez, Nazan Kuter   +2 more
doaj  

Kernel Density Estimators in Large Dimensions

SIAM Journal on Mathematics of Data Science
This paper studies Kernel Density Estimation for a high-dimensional distribution $ρ(x)$. Traditional approaches have focused on the limit of large number of data points $n$ and fixed dimension $d$. We analyze instead the regime where both the number $n$ of data points $y_i$ and their dimensionality $d$ grow with a fixed ratio $α=(\log n)/d$.
Biroli, Giulio, Mézard, Marc
openaire   +4 more sources

Nonparametric confidence bands in deconvolution density estimation [PDF]

Uniform confidence bands for densities f via nonparametric kernel estimates were first constructed by Bickel and Rosenblatt [Ann. Statist. 1, 1071.1095].
Bissantz, Nicolai, Holzmann, Hajo, Dümbgen, Lutz, Munk, Axel   +3 more
core