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 computational intelligence approach for classifying dental caries in X-ray images using integrated fuzzy C-means clustering with feature reduction and a weighted matrix scheme. [PDF]
Wisaeng K, Muangmeesri B.
europepmc +1 more source
ABSTRACT Innovation is essential for competitiveness in agribusiness facing dynamic environments. This study examines how market orientation, marketing, relational, and social capabilities influence innovation performance. Using data from 751 Spanish firms and a multi‐method approach that integrates Structural Equation Modeling (PLS‐SEM), Necessary ...
Beatriz Corchuelo Martínez‐Azúa +1 more
wiley +1 more source
Point-of-interest recommender model using geo-tagged photos in accordance with imperialist Fuzzy C-means clustering. [PDF]
Salehi Solaiman Abadi AA +2 more
europepmc +1 more source
This review of the status and challenges of diagnosis of lymph node metastasis in colon cancer suggests that it is currently difficult to establish strict criteria for lymph node metastasis, indicating only moderate diagnostic performance. ABSTRACT Background Accurate pre‐treatment evaluation of lymph node metastasis (LNM) in colon cancer is important ...
Shimpei Ogawa +4 more
wiley +1 more source
Cnidaria herd optimized fuzzy C-means clustering enabled deep learning model for lung nodule detection. [PDF]
Prasada Rao RH, Goswami AD.
europepmc +1 more source
Evolution of Physical Intelligence Across Scales
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
Revisiting Possibilistic Fuzzy C-Means Clustering Using the Majorization-Minimization Method. [PDF]
Chen Y, Zhou S.
europepmc +1 more source
Data‐Driven High‐Throughput Volume Fraction Estimation From X‐Ray Diffraction Patterns
Long exposure times and the need for manual evaluation limit the use of X‐ray diffraction in high‐throughput applications. This study presents a data‐driven approach addressing both issues. HiVE (a method for High‐throughput Volume fraction Estimation) performs composition estimation for high‐noise XRD patterns produced using polychromatic emission ...
Hawo H. Höfer +6 more
wiley +1 more source
Fuzzy C-means clustering algorithm applied in computed tomography images of patients with intracranial hemorrhage. [PDF]
Zhang L, Song D, Qiu H, Ye L, Xu Z.
europepmc +1 more source

