Results 121 to 130 of about 15,648,464 (247)

Uncertainty under a multivariate nested-error regression model with logarithmic transformation [PDF]

open access: yes, 2006
Assuming a multivariate linear regression model with one random factor, we consider the parameters defined as exponentials of mixed effects, i.e., linear combinations of fixed and random effects.
Molina, Isabel
core   +1 more source

Comparison of a Linear Mixed Model and Tree-Based Machine Learning Models for Daily Milk Yield Prediction in Dairy Cows During Summer

open access: yesInformation
The expansion of digital technologies in dairy farming (precision dairy farming) has created new opportunities for the systematic use of data, which can lead to more efficient production processes.
Babak Darabighane   +1 more
doaj   +1 more source

Random Covariance Heterogeneity in Discrete Choice Models [PDF]

open access: yes
The area of discrete choice modelling has developed rapidly in recent years. In particular, continuing refinements of the Generalised Extreme Value (GEV) model family have permitted the representation of increasingly complex patterns of substitution and ...
Stephane Hess, John Polak, Denis Bolduc
core  

Topology‐Enabled Finite‐Band Absorption Framework Based on a Bioinspired Nested Dual‐Loop Architecture

open access: yesAdvanced Science, EarlyView.
A nuclear‐pore‐inspired nested dual‐loop architecture redistributes electromagnetic energy through coupled transport, confinement, and dissipation pathways. Integrated with Co/Fe3O4 dual‐magnetic composites and topology optimization, the 11‐mm‐thick absorber delivers continuous 2–40 GHz attenuation, raises finite‐band structural utilization to 82%, and
Shaokang Liu   +6 more
wiley   +1 more source

Compact 9dBEs Enable Efficient and Precise Genome Editing in Mammalian Cells and In Vivo

open access: yesAdvanced Science, EarlyView.
As a compact type II‐D system, the Cas9d‐based platform holds great potential for in vivo applications. Through rational engineering, its derived base editors (9dBEs) enable efficient disease modeling while facilitating single‐vector AAV delivery for in vivo genome editing. These miniature tools offer a robust strategy for basic research and biomedical
Qingquan Xiao   +12 more
wiley   +1 more source

Small Area Estimation using EBLUPs under the Nested Error Regression Model

open access: yesStatistica Sinica
Estimating characteristics of domains (referred to as small areas) within a population from sample surveys of the population is an important problem in survey statistics. In this paper, we consider model-based small area estimation under the nested error regression model.
Lyu, Ziyang, Welsh, A. H.
openaire   +3 more sources

Tissue‐Agnostic Cellular Morphometric Biomarkers for Risk‐Adapted Management Across Gastrointestinal Precancerous Lesions and Cancers

open access: yesAdvanced Science, EarlyView.
An interpretable, unsupervised artificial intelligence framework identifies a 13‐cellular morphometric biomarker (CMB) signature from routine H&E whole‐slide images. Validated across 2,602 patients, the fixed signature generalizes across colorectal, gastric, and esophageal tissues without retraining, stratifies prognosis and precancerous lesion risk ...
Pin Wang   +14 more
wiley   +1 more source

Is the Polonia Rate Predictable on WIBOR O/N?

open access: yesPrace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, 2020
The paper reports on whether the Polonia rate showing the price of one-day money in Poland is predictable on WIBOR O/N, its banking industry mid-morning forecast.
Paweł Miłobędzki
doaj  

Early Spatial and Contextual Coding Deficits in Hippocampal CA1 Precede Performance Decline in an Alzheimer's Disease Model

open access: yesAdvanced Science, EarlyView.
Two‐photon calcium imaging in behaving 5xFAD mice reveals early CA1 coding deficits before behavioral decline. Task‐related place cell activity and splitter cell trajectory coding are impaired, with reduced retrospective dominance and greater prospective weighting.
Yimei Li   +8 more
wiley   +1 more source

Pre-season bare-soil spectral proxies complement pod-filling canopy indices for field-scale soybean-yield prediction from UAV imagery

open access: yesiScience
Summary: Field-scale soybean-yield models based on canopy imagery may miss soil-surface variation. We evaluated a two-flight drone framework combining pre-season bare-soil and pod-filling multispectral imagery at 101 locations in four slope units in ...
Yan Zhao   +3 more
doaj   +1 more source

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