Results 211 to 220 of about 7,255,480 (346)
Kinetic–energetic projection of time‐resolved photoluminescence reveals that charge‐transfer injection acts as a universal bottleneck in organic solar cells. A physics‐constrained Bayesian framework identifies an emergent effective CT injection rate governing the trade‐off between charge generation and nonradiative energy loss.
Rong Wang +16 more
wiley +1 more source
Bayesian networks as prognostic models in oncology: a systematic review and recommendations for clinical practice. [PDF]
Reijnen C +7 more
europepmc +1 more source
Farmers' Preferences for Gene Editing Crops and Influencing Factors
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 +1 more
wiley +1 more source
A Treatment Decision Model for Cutaneous Squamous Cell Carcinoma Based on Bayesian Networks. [PDF]
Ghura E +5 more
europepmc +1 more source
This study highlights that physical activity, employment, and mental health significantly influence sarcopenia risk in healthy adults. Working part‐time or full‐time and exercising, especially sports like swimming, alongside good psychological health, may be associated with reduced odds of sarcopenia.
Mohammad Reza Shadmand Foumani Moghadam +11 more
wiley +1 more source
Bayesian networks are a type of causal network used for probabilistic reasoning, which have found wide application in biomedical environments and machine vision.We have considered their application in the realm of security, where behaviour that is ...
Pickering, Jonathan, Xu, Zhijie
core
physically interpretable residual strength prediction of corroded pipelines via symbolic Bayesian networks. [PDF]
Chen M, Zhang Y, Ye Y, Lu Y.
europepmc +1 more source
Abstract This study examines producer participation choices considering a variety of potential benefits linked to state‐sponsored marketing programs, using a real choice dataset of farmers in Missouri. Multinomial logit models are employed to predict determinants of farmer enrollment in three tiers of the Missouri Grown local food marketing program ...
Lan Tran, Ye Su, Laura McCann
wiley +1 more source
Bayesian networks for predicting clinical outcomes in COVID-19 patients: A retrospective study in a resource-limited setting. [PDF]
Filamant TC +2 more
europepmc +1 more source
ABSTRACT This study investigates the financial literacy (FL) of Swedish farmers, its linkages to farmer characteristics, management accounting practices and farm outcomes by surveying Swedish Farm Accountancy Data Network farmers. Using item response theory, we expand the existing FL measurement specifically to the farming context, assess measurement ...
Uliana Gottlieb, Helena Hansson
wiley +1 more source

