Results 201 to 210 of about 50,503 (261)

Computational protocol for hierarchical Bayesian modeling of perception and generalization in fear conditioning. [PDF]

STAR Protoc
Yu K, Vanpaemel W, Tuerlinckx F, Zaman J.   +3 more
europepmc   +1 more source

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

Energy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom, Lotfi Saidi, Eric Bechhoefer   +2 more
wiley   +1 more source

A hierarchical conformal framework for uncertainty-aware length of stay prediction in multi-hospital settings. [PDF]

Sci Rep
Shahbazi MA, Baheri A, Azadeh-Fard N.
europepmc   +1 more source

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

FlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu, Zicao Peng, Chong Sun, Haitao Yang   +3 more
wiley   +1 more source

The Impact of Uncertainty on Forecasting the US Economy

Journal of Forecasting, EarlyView.
ABSTRACT This paper examines the predictive value of uncertainty measures for key macroeconomic indicators across multiple forecast horizons. We evaluate how different uncertainty proxies—economic policy uncertainty (EPU), VIX, geopolitical risk, and measures of macroeconomic and financial uncertainty—enhance forecast accuracy for industrial production,
Angelica Ghiselli
wiley   +1 more source

Bayesian probabilistic projections of proportions with limited data: An application to subnational contraceptive method supply shares. [PDF]

PLoS One
Comiskey H, Cahill N, Alkema L, Frazier DT, Maneesoonthorn W.   +4 more
europepmc   +1 more source

Geographical Pattern of Testicular Cancer Points to Maternal Exposures Behind Increasing Incidence

International Journal of Cancer, EarlyView.
ABSTRACT Evidence suggests that testicular cancer (TC) originates from germ cell neoplasia in situ arising during fetal development, implying that prenatal environmental exposures may influence disease risk. We investigated whether maternal place of residence during pregnancy is associated with regional variation in TC incidence.
Antti Kaipia, Karri Seppä, Elli Hirvonen, Eetu Mäkinen, Nea Malila, Janne Pitkäniemi, Jorma Toppari, Peter Boström, Heikki Seikkula   +8 more
wiley   +1 more source

Centers performance for end-stage kidney replacement therapy: a Bayesian hierarchical logistic regression for a binary kidney transplant status. [PDF]

BMC Med Res Methodol
Woldeyohannes S, Cass A, Jones Y, Lawton P.   +3 more
europepmc   +1 more source

Nanopore direct RNA sequencing and the epitranscriptome: Advances in mapping native RNA landscapes

iMeta, EarlyView.
Nanopore direct RNA sequencing advances transcriptomics by capturing full‐length transcripts and multiple RNA modifications; this review details its principles, workflows, tools, applications, challenges, and future research potential. Abstract Nanopore direct RNA sequencing (DRS) has transformed transcriptomics by enabling single‐molecule, long‐read ...
Tianyuan Zhang, Jia Li, Chao Tang, You Wu, Hao Wu, Xi‐Tong Zhu, Ziyang Luo, Hang Qin, Lishan Ding, Yu Zeng, Shiou Yih Lee, Xiaotao Shen, Shiwen Gao, Zhaoyang Tian, Qian Tang, Mian Li, Muhammad Tahir Ul Qamar, Yang Dong, Komivi Dossa, Yaxuan Zhang, Hu Chen, Sanqi An, Xiang Yu, Lu Chen, Dingjie Wang, Shengli Li, Ling‐Ling Chen, Yanqiang Li   +27 more
wiley   +1 more source

Comparing Bayesian random coefficient prediction and latent interaction models for multilevel moderated mediation. [PDF]

Front Psychol
Lee S, Kim S.
europepmc   +1 more source