Results 91 to 100 of about 2,939,863 (258)

Stochastic search for semiparametric linear regression models [PDF]

, 2013
This paper introduces and analyzes a stochastic search method for parameter estimation in linear regression models in the spirit of Beran and Millar [Ann. Statist. 15(3) (1987) 1131–1154].
Richard J. Samworth, Dümbgen, Lutz, Lutz Dümbgen, Samworth, Richard J., Schuhmacher, Dominic, Dominic Schuhmacher   +5 more
core   +2 more sources

Flexoelectricity in Photoconversion: Fundamentals, Materials, and Outlooks

Advanced Science, EarlyView.
Mechanical bending of a flexible cantilever induces a strain gradient in the photoactive material. The resulting flexoelectric field couples with photovoltaic and photoconductive effects, modulating charge generation, separation, and collection. A comparative analysis of oxide perovskites, halide perovskites, and two‐dimensional materials is presented,
Xiang Huang, Feng Li, Rongkun Zheng
wiley   +1 more source

Construction of Sabatier Volcanoes for CO2 Hydrogenation to C1‐2 Oxygenates Using Data‐Efficient Machine Learning

Advanced Science, EarlyView.
A new data‐efficient framework combining DFT calculations, a neural network model, and automated graph analysis of catalytic reaction networks is proposed and applied to CO2 hydrogenation on transition metal nanoparticles. The analysis shows how efficient C2 oxygenate production requires a balance between CHx formation, C–C coupling, protonation, and ...
Mikhail V. Polynski, Sergey M. Kozlov
wiley   +1 more source

CXCL10/SLC11A1 Axis Exacerbates Septic Liver Injury by Regulating Neutrophil Extracellular Traps Formation to Drive Macrophage Pro‑Inflammatory Polarization

Advanced Science, EarlyView.
In sepsis‐induced liver injury, marked neutrophil infiltration correlates with disease severity. Neutrophil SLC11A1 drives intracellular Fe2+ and ROS via the Fenton reaction, promoting NETs formation. Hepatocyte‐derived CXCL10 recruits neutrophils and activates the JAK/STAT1/SLC11A1 axis, enhancing NETs‐mediated inflammation.
Haiping Lin, Shicong Zheng, Pei Song, Jie Chang, Zewei Chen, Cang Li, Min Yu, Lude Wang, Shian Yu   +8 more
wiley   +1 more source

Model Specification Tests in Nonparametric Stochastic Regression Models [PDF]

, 2002
In this paper, we consider testing for additivity in a class of nonparametric stochastic regression models. Two test statistics are constructed and their asymptotic distributions are established.
Wolff, Rodney C., Gao, J, Jiti Gao, Rodney Wolff, Gao, Jiti, Wolff, Rodney, Howell Tong, Wolff, R C L, Tong, Howell   +8 more
core   +1 more source

A Stochastic Process Perspective on Hybrid Log-Normal and Machine Learning Models for Financial Risk under Left-Censored Data [PDF]

Mathematics and Modeling in Finance
In the context of financial risk management, predictive modeling under censored data remains a complex challenge. This paper develops and compares two approaches: a traditional log-normal regression model and a hybrid framework combining log-normal ...
Tahar Boukadoum, Kamel Boukhetala
doaj   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source

Functionalized Biomimetic Scaffolds for Human‐Derived Auditory Neural Circuit Construction

Advanced Science, EarlyView.
In Vitro Auditory Circuit Model. ABSTRACT Damage to auditory circuits results in sensorineural hearing loss. However, the scarcity of human inner ear tissue significantly hinders the development of therapies to preserve auditory function, creating a critical need for reliable in vitro models.
Pan Feng, Qian Zhu, Yusong Wang, Hao Rong, Xu Zhang, Fuchun Wang, Tianqi Yu, Wenxuan Wang, Jing Li, Lei Tian, Menghui Liao, Renjie Chai, Yangnan Hu   +12 more
wiley   +1 more source

A Pan‐Methylome Framework for Population‐Scale Bacterial Epigenomics

Advanced Science, EarlyView.
A scalable quantitative framework unlocks population‐level comparative epigenomics in bacteria. By transforming site‐level data into standardized traits, this approach reconstructs methylation‐informed phylogenies and defines the core epigenome.
Bin Ma, Huimin Gong, Ran Zhuo, Zaixiao Rao, Yanxi Wan, Mingyang Wang, Zahra Zeinalzadeh, Yuan Gao, Aohan Guan, Xinrun Li, Wanting Chen, Xiliang Wang, Yun Wan, Sihua Zhang, Yuncai Xiao, Qi Huang, Paul R. Langford, Xiangru Wang, Rui Zhou, Rui Luo, Hongbo Zhou, Chengliang Zhu, Hui Jin   +22 more
wiley   +1 more source

On the Weighted Mixed Almost Unbiased Ridge Estimator in Stochastic Restricted Linear Regression

Journal of Applied Mathematics, 2013
We introduce the weighted mixed almost unbiased ridge estimator (WMAURE) based on the weighted mixed estimator (WME) (Trenkler and Toutenburg 1990) and the almost unbiased ridge estimator (AURE) (Akdeniz and Erol 2003) in linear regression model.
Chaolin Liu, Hu Yang, Jibo Wu
doaj   +1 more source