Results 91 to 100 of about 39,366 (255)

A Joint Specification Test for Response Probabilities in Unordered Multinomial Choice Models

Econometrics, 2015
Estimation results obtained by parametric models may be seriously misleading when the model is misspecified or poorly approximates the true model. This study proposes a test that jointly tests the specifications of multiple response probabilities in ...
Masamune Iwasawa
doaj   +1 more source

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

Linearity Characterization and Uncertainty Quantification of Spectroradiometers via Maximum Likelihood and the Non-parametric Bootstrap. [PDF]

Metrologia, 2023
Pintar AL, Levine ZH, Yoon HW, Maxwell SE.   +3 more
europepmc   +1 more source

RNAi in the Rhizarian Phytopathogen Plasmodiophora brassicae: The Causal Agent of Clubroot Disease in Cruciferous Crops

Advanced Science, EarlyView.
This study uncovers an unusual RNAi pathway in the rhizarian pathogen Plasmodiophora brassicae. In the absence of Dicer, a Drosha‐like RNase III protein supports the biogenesis of predominant 21‐nt small RNAs, and two Argonaute proteins mediate small RNA‐guided silencing.
Xiong Zhang, Yupo Wu, Jiachang Hou, Lixia Gao, Longqi Pan, Cuicui Shen, Chuanji Zhao, Feng Gao, Yi Zhang, Li Ren, Xiaoping Fang, Xiaoling Dun, Shengyi Liu, Lijiang Liu   +13 more
wiley   +1 more source

A Non-parametric Bootstrap Method for Kinetic Monte Carlo Variance Reduction [PDF]

EPJ Web of Conferences
A new variance reduction technique for Monte Carlo transport methods is investigated. This approach is based on non-parametric bootstrapping, a statistical inference and resampling method which is used to generate simulated samples of Monte Carlo scores ...
Skretteberg Martin, Cosgrove Paul, Kowalski Mikolaj   +2 more
doaj   +1 more source

An Iterative Parametric Bootstrap Approach to Evaluating Rater Fit. [PDF]

Appl Psychol Meas, 2021
Guo W, Wind SA.
europepmc   +1 more source

Gm26550 Modulates Learning and Memory by Increasing IGF1 mRNA Expression and Stability in Nrf2−/− Mice

Advanced Science, EarlyView.
The present study shows that Nrf2 directly binds to the Gm26550 promoter, thereby activating Gm26550 transcription and increasing its expression. Mechanistically, Gm26550 promotes IGF1 expression by functionally antagonizing miR‐26a‐5p‐mediated repression and sequestering the RBP KHSRP, thereby enhancing hippocampal neuronal synaptic plasticity and ...
Hongfang Wang, Ziyao Wang, Dongyue Zuo, Zhaowen Su, Bowen Song, Jiamin Gao, Yizhou Zhang, Ruiting Zhao, Linjie Sun, Mengdi Li, Yirui Fan, Dandan Geng, Lei Wang   +12 more
wiley   +1 more source

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

Testing for correlation between two time series using a parametric bootstrap. [PDF]

J Appl Stat, 2021
Sun Z, Fisher TJ.
europepmc   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source