Results 161 to 170 of about 12,786,622 (281)

Device Stochasticity Directly Implements Bayesian Sampling in Spiking Neurons

Advanced Science, EarlyView.
Brain‐inspired stochastic spiking turns device noise into Bayesian uncertainty for robust, low‐power neuromorphic computing. ABSTRACT Device stochasticity is considered a non‐ideality in neuromorphic hardware, although stochastic neural activity supports probabilistic computation in biological systems.
Huannan Zheng, Jingli Liu, Kezhou Yang
wiley   +1 more source

NExON-Bayes: a Bayesian approach to network estimation informed by ordinal covariates. [PDF]

Bioinformatics
Feest J, Ruffieux H, Lingjærde C, Xi X.
europepmc   +1 more source

Loss of Lepr in Fibroblasts Drives Tumor Development by Promoting Macrophage Infiltration

Advanced Science, EarlyView.
TNFα and TGFβ signaling reprograms Lepr+ fibroblasts toward a LeprnegMmphigh inflammatory CAF (iCAF) state, with downregulation of the Tcf21‐Lepr axis contributing to this transition. Lepr loss induces Csf3, which contributes to the enhanced macrophage‐recruiting capacity of these iCAFs, thereby promoting tumor development. Thus, inflammatory signaling
Manyu Song, Wuqi Yang, Bangran Qi, Liyuan Hou, Xu Yang, Jiuzhi Xu, Shengyuan Tian, Shuiling Jin, Lu Yu, Zhengquan Yu, Min Deng, Jiaqiang Huang, Suoqin Jin, Cong Lv   +13 more
wiley   +1 more source

Independent evaluation of machine learning and deep learning models for breast cancer detection. [PDF]

PLOS Digit Health
Deepthi, Nayak A, Panicker RO.
europepmc   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Farmers' Preferences for Gene Editing Crops and Influencing Factors

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Gene editing (GE) is gaining momentum worldwide, but limited data on UK farmers' preferences hinders our understanding of its potential impact amid deregulation debates. Based on a survey of 200 English arable farmers, we employ a Latent Class Analysis and Multinomial Logit regressions to investigate current preferences for GE crops.
Bertolozzi‐Caredio Daniele, Vigani Mauro   +1 more
wiley   +1 more source

Bayesian Convolutional Neural Networks for Uncertainty-Aware Classification of Infrasound Events. [PDF]

Sensors (Basel)
Yin H, Zhang K, Lu Y, Chang Y, Wu Y, Yang F, Li X, Xu J, Pang X.   +8 more
europepmc   +1 more source

Regional Differences in U.S. Consumer Preferences for Native Woody Shrubs With Varying Aesthetic Characteristics

Agribusiness, EarlyView.
ABSTRACT Native plants offer a variety of aesthetic (e.g., fall colour, fruit, flowers) and functional benefits (e.g., pollinator friendly, wildlife friendly, water management). How these benefits influence consumer choice and perceived value of native versus introduced plants is not well understood.
Alicia Rihn, Ariana P. Torres, Sue Barton, Bridget K. Behe   +3 more
wiley   +1 more source

Integrative machine learning for identifying transcriptomic signatures of neoadjuvant chemoradiotherapy response in locally advanced rectal cancer. [PDF]

Biochem Biophys Rep
Mirghayed MMR, Soror AA, Rezaei A, Sardouei AHM, Hajipour M, Behtaji S, Shoar MR, Yavuz M, Fadaei Y.   +8 more
europepmc   +1 more source

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

Agribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source