Results 121 to 130 of about 8,311,668 (271)
This note shows a symbolic formula for the square-root-free Cholesky decomposition of the variance--covariance matrix of the negative multinomial distribution. A similar decomposition was given for the multinomial case by Tanabe and Sagae (1984).
Tanabe, Kunio, Sagae, Masahiko
core
By integrating knowledge‐augmented artificial intelligence with an oxygen‐supplemented 3D screening platform, a synergistic interaction between berberine and enzalutamide is identified. The framework integrates compound mechanisms of action with disease‐relevant signaling context to prioritize candidate combinations and generate testable pathway‐based ...
Chih‐Hui Lo +15 more
wiley +1 more source
Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa +6 more
wiley +1 more source
A Dual‐Branch Flux‐Based Extended Memristor Model With Machine‐Learning‐Assisted Calibration
Multilayer oxide memristors integrated in crossbar arrays are described through a dual‐branch, flux‐controlled compact model. A three‐stage calibration workflow combining Latin hypercube sampling, Bayesian optimization, and gradient‐based refinement extracts device parameters from experimental data.
Davide Rossetti +6 more
wiley +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
CHARACTERIZATIONS OF MULTINOMIAL AND NEGATIVE MULTINOMIAL MIXTURES BY REGRESSION
Characterizations are given for mixtures of multinomial and negative multinomial distributions with respect to their index parameter. Several well known multivariate discrete distributions are used as illustrative examples.
Papageorgiou, H.
core
ABSTRACT This paper examines the relationship between participation in the EU Rural Development Program and the economic performance of Italian olive farms using a finite‐mixture model with inverse‐probability‐weighted regression adjustment. Based on 2010–2022 FADN panel data, it estimates heterogeneous treatment effects while correcting for selection ...
Francesco Caracciolo, Marilena Furno
wiley +1 more source
Ex‐Ante Assessment of Farm Resilience to Institutional Shocks: A Modeling Approach
ABSTRACT Using the agent‐based model SWISSland, we simulate farm‐level responses and interactions under two institutional shocks: tariff reductions and direct payment reductions. Using a framework we developed, we assess resilience capacities, resilience attributes, and the provision of private and public goods, following the shock.
Nadja El Benni, Gabriele Mack
wiley +1 more source
ABSTRACT Disruptions in global fertilizer markets and climate targets have increased interest in fossil‐free mineral nitrogen fertilizers. This study examines farmers' preferences for conventional (fossil‐based) and fossil‐free fertilizers using a labeled discrete choice experiment with 211 Swedish farmers.
Nasir Adam +5 more
wiley +1 more source
Consumer Preferences for Craft Beer: The Interplay of Localness and Advertising Language
ABSTRACT This study explores the influence of the language of the label, origin of production, and origin of brewing ingredients on Croatian consumers' preferences and willingness to pay for organic craft beer. Employing an online survey and a choice experiment among 223 Croatian alcohol consumers, we find that while there's a willingness to pay a ...
Marija Cerjak +2 more
wiley +1 more source

