Results 81 to 90 of about 1,873 (158)

Lifespan Pancreas Morphology for Control Versus Type 2 Diabetes Using AI on Largescale Clinical Imaging

open access: yesClinical Anatomy, EarlyView.
ABSTRACT Understanding how pancreas size and shape change with normal aging is critical for establishing a baseline to detect deviations in type 2 diabetes and other pancreatic disease. We measure pancreas size and shape using morphological measurements from early development through aging (ages 0–90).
Lucas W. Remedios   +13 more
wiley   +1 more source

Restricted Tweedie stochastic block models

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley   +1 more source

Ngos' Contributions to Innovation: Innovation Enablers or Lead Innovators?

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study explores how non‐governmental organisations (NGOs) engage with innovation processes. Drawing on a comparative case study of two NGOs working in water sustainability, the paper analyses NGO involvement across seven stages of the innovation process.
Maria Cristina Pietronudo   +3 more
wiley   +1 more source

Complete Flow for PCB Design Consideration and Power/Signal Integrity Analysis Based on Broadband Model of Parasitic Elements

open access: yesInternational Journal of Circuit Theory and Applications, EarlyView.
An implementation of a broadband model for the generation of an accurate time‐domain description of parasitic elements from frequency‐domain electromagnetic (EM) simulator results is proposed. It is designed to work simultaneously at low and high frequencies, bypassing EM simulators limitations, validating it against measurement and presenting a ...
Silvia Simone   +3 more
wiley   +1 more source

TimeFlow 2: An Unsupervised Cell Lineage Detection Method for Flow Cytometry Data

open access: yesCytometry Part A, EarlyView.
TimeFlow 2 is a new method for cell lineage inference in flow cytometry data. It constructs cell state paths along pseudotime and aggregates them into biologically informative groups. It allows tracking of cytometry markers within each automatically inferred lineage.
Margarita Liarou   +2 more
wiley   +1 more source

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