Results 71 to 80 of about 93,524 (286)

The Cost of the National Disability Insurance Scheme: Australia's Print‐Media Discourse

Australian Journal of Social Issues, EarlyView.
ABSTRACT This paper examines the way that Australian newspapers have framed the cost of the National Disability Insurance Scheme (NDIS). Introduced in 2013, the NDIS represented a major change in Australia's disability support policy, moving for the first time to a nationwide universal insurance model.
Meera Chinnappa, Jennifer Smith‐Merry, Kuo‐yi Jade Chang   +2 more
wiley   +1 more source

Influence of Preprocessing Methods of Automated Milking Systems Data on Prediction of Mastitis with Machine Learning Models

AgriEngineering
Missing data and class imbalance hinder the accurate prediction of rare events such as dairy mastitis. Resampling and imputation are employed to handle these problems.
Olivier Kashongwe, Tina Kabelitz, Christian Ammon, Lukas Minogue, Markus Doherr, Pablo Silva Boloña, Thomas Amon, Barbara Amon   +7 more
doaj   +1 more source

Per‐ and Polyfluoroalkyl Substances and Knee Osteoarthritis: Data From the Osteoarthritis Initiative

Arthritis &Rheumatology, EarlyView.
Objective To examine whether concentrations of specific per‐ and polyfluoroalkyl substances (PFAS) and a mixture of PFAS relate to incident knee osteoarthritis (KOA) and knee pain progression. Methods Among a case‐cohort sample from the OA Initiative (n = 1,878), we examined associations of serum concentrations of eight PFAS with odds of developing ...
Jeffrey B. Driban, Lisa B. Rokoff, Bing Lu, Timothy E. McAlindon, Charles B. Eaton, Mary B. Roberts, Diana Mathes, Colleen Lestician, Zhijin Carrie Xu, Zhihua Tina Fan, Shawn P. O'Leary, Ida K. Haugen, Jérémie Sellam, Alice Courties, Abby F. Fleisch   +14 more
wiley   +1 more source

autoscoRA: Deep Learning to Automate Sharp/van der Heijde Scoring of Radiographic Damage in Rheumatoid Arthritis

Arthritis &Rheumatology, EarlyView.
Objective Regular imaging by conventional radiography to assess for joint damage is a cornerstone in the management of rheumatoid arthritis. Scoring systems to quantify such damage, such as the widely used Sharp/van der Heijde (SvdH) score, are limited by the requirement of time and experienced staff as well as intra‐ and interrater variability.
Thomas Deimel, Paul J. Weiser, Martin Urschler, Christian Payer, Peter Mandl, Georg Langs, Daniel Aletaha   +6 more
wiley   +1 more source

Engineered B7‐H3 Binding in Modular Gp2 Miniproteins

Biotechnology and Bioengineering, EarlyView.
ABSTRACT B7‐H3, an important immune checkpoint modulator of T‐cell function, is a tumor vasculature biomarker and is overexpressed in a variety of cancers. Its expression is associated with tumor growth, metastasis, and poor clinical prognosis, which makes B7‐H3 an appealing target for diagnostics and therapeutics.
Abbigael Harthorn, Hannah K. Windsor, Zachary Schmitz, Nathaniel Cheung, Ebube Agwaramgbo, Benjamin J. Hackel   +5 more
wiley   +1 more source

Bridging Theory and Prediction: A Hybrid SEM and Machine Learning Approach to Optimize Lean Construction for Megaproject Sustainability in China

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Construction megaprojects, large‐scale, complex, and capital‐intensive, are particularly prone to inefficiencies, cost overruns, delays, and environmental degradation due to fragmented workflows, stakeholder misalignment, and resource intensity.
Abdelazim Ibrahim, Tarek Zayed, Zoubeir Lafhaj, Ahmed Maged, Ahmed Farouk Kineber, Jingchao Yang   +5 more
wiley   +1 more source

Multiscale Finite Element Methods for Nonlinear Problems and their Applications [PDF]

, 2004
In this paper we propose a generalization of multiscale finite element methods (Ms-FEM) to nonlinear problems. We study the convergence of the proposed method for nonlinear elliptic equations and propose an oversampling technique.
Efendiev, Y., Ginting, V., Hou, T. Y.
core  

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

Citizen science deepens the ecological and climatic dimensions of mosquito surveillance

Ecography, EarlyView.
As mosquito‐borne diseases continue to expand worldwide, integrating citizen science into vector surveillance presents untapped potential. This study compares ecological models of Aedes albopictus, an invasive mosquito and global vector of dengue and other arboviruses, in Spain (2020–2022), using two contrasting data sources: traditional traps and ...
Catuxa Cerecedo‐Iglesias, John R. B. Palmer, Frederic Bartumeus   +2 more
wiley   +1 more source

The Crest factor for trigonometric polynomials. Part I: Approximation theoretical estimates

Journal of Numerical Analysis and Approximation Theory, 2001
The Chebyshev norm of a degree n trigonometric polynomial is estimated against a discrete maximum norm based on equidistant sampling points where, typically, oversampling rather than critical sampling is used. The bounds are derived from various methods
K. Jetter, G. Pfander, G. Zimmermann
doaj   +2 more sources