Results 61 to 70 of about 97,649 (287)

A Multivariate Poisson Deep Learning Model for Genomic Prediction of Count Data

G3: Genes, Genomes, Genetics, 2020
The paradigm called genomic selection (GS) is a revolutionary way of developing new plants and animals. This is a predictive methodology, since it uses learning methods to perform its task.
Osval Antonio Montesinos-López, José Cricelio Montesinos-López, Pawan Singh, Nerida Lozano-Ramirez, Alberto Barrón-López, Abelardo Montesinos-López, José Crossa   +6 more
doaj   +1 more source

Application of a Poisson deep neural network model for the prediction of count data in genome‐based prediction

The Plant Genome, 2021
Genomic selection (GS) is revolutionizing conventional ways of developing new plants and animals. However, because it is a predictive methodology, GS strongly depends on statistical and machine learning to perform these predictions.
Osval A. Montesinos‐Lopez, Jose C. Montesinos‐Lopez, Eduardo Salazar, Jose Alberto Barron, Abelardo Montesinos‐Lopez, Raymundo Buenrostro‐Mariscal, Jose Crossa   +6 more
doaj   +1 more source

Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives

Advanced Materials, EarlyView.
Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi, Mario Palacios‐Corella, Arjan Mol, Salvador Pané, Josep Puigmartí‐Luis   +4 more
wiley   +1 more source

An Extension of Generalized Linear Models to Finite Mixture Outcome Distributions

, 2016
Finite mixture distributions arise in sampling a heterogeneous population. Data drawn from such a population will exhibit extra variability relative to any single subpopulation.
Morel, Jorge G., Neerchal, Nagaraj K., Raim, Andrew M.   +2 more
core   +1 more source

Lattice Structures for Bone Replacement: The Intersection of Bone Biomechanics, Lattice Design, and Additive Manufacturing

Advanced Materials Technologies, EarlyView.
This review outlines how understanding bone's biology, hierarchical architecture, and mechanical anisotropy informs the design of lattice structures that replicate bone morphology and mechanical behavior. Additive manufacturing enables the fabrication of orthopedic implants that incorporate such structures using a range of engineering materials ...
Stylianos Kechagias, Maxwell J. Munford, Frederik C.H. Masure, Richard J. van Arkel, Reece N Oosterbeek   +4 more
wiley   +1 more source

Count data models with variance of unknown form: an application to a hedonic model of worker absenteeism [PDF]

, 1994
We examined an econometric model of counts of worker absences due to illness. The underlying theoretical model is of a sluggishly adjusting hedonic labor market.
Delgado, Miguel A., Kniesner, Thomas J.
core   +4 more sources

Enhancing the accuracy of modeling highly multicollinear CO2 emission data using a novel generalized Poisson Liu regression method

AIP Advances
Count data often exhibit dispersion patterns that the standard Poisson regression model struggles to handle, particularly in cases of overdispersion or underdispersion. The generalized Poisson regression model (GPRM) provides a more flexible alternative,
Ali T. Hammad, Alexis Habineza, Ahmed M. Gemeay, Fatimah A. Almulhim   +3 more
doaj   +1 more source

Spatial Modeling of leprosy disease in east java province with spatially varying regression coefficients models

Indian Journal of Public Health, 2022
Indonesia ranks third with the most leprosy cases globally. East Java is the province that has the highest leprosy cases. The Provincial Government socialized the East Java Leprosy Eradication Program, which targets a maximum of one leprosy case per 10 ...
Husnul Chotimah, I G N. Mindra Jaya
doaj   +1 more source

Multi‐Material Additive Manufacturing of Soft Robotic Systems: A Comprehensive Review

Advanced Robotics Research, EarlyView.
This review explores the transformative role of multi‐material additive manufacturing (MMAM) in the development of soft robotic systems. It presents current techniques, materials, and design strategies that enable functionally graded and adaptive structures.
Ritik Raj, Quan‐Chen Song, Jia‐Yang Juang   +2 more
wiley   +1 more source

UTact: Underwater Vision‐Based Tactile Sensor with Geometry Reconstruction and Contact Force Estimation

Advanced Robotics Research, EarlyView.
Embedded flexible sensing technologies advance underwater soft robotics, yet most systems still suffer from hysteresis and limited perceptiveness. Instead, vision‐based tactile sensors provide reliable and rapid feedback essential for complex underwater tasks.
Qiyi Zhang, Zonghao Zuo, Haoxuan Wang, Bin Liu, Yilidusi Yilihamu, Li Wen   +5 more
wiley   +1 more source