Results 191 to 200 of about 43,832 (276)

Truth‐telling in the Australian Curriculum

The Curriculum Journal, EarlyView.
Abstract Unlike Canada and South Africa, Australia has not completed a national Truth‐telling of First Nations histories. As a consequence, the curriculum is at risk of excluding Truth‐telling, leading to indoctrination of past injustices as part of school learning.
Glenn Auld, Aleryk Fricker, A. Bryan Fricker, Jessamy Gleeson, Genée Marks, Jo Raphael, Roy Rozario, Peta J. White, Brezshia Ashcroft, Robin A. Bellingham, Alessandra D'Arbe, Brianna Damcevski, Jennie Darcy, Kim Davies, Claudia Filipic, Brandi Fox, Paul Garner, Amanda Hall, Shelley Hannigan, Amrita Kamath, Katie Lee, Eun‐ju Lee, Jing Leong, Catherine Milvain, Jonathan Newchurch, Alistair Noble, Joanne O'Mara, Jacqui Peters, Monika Wagner, Yinfeng Wang   +29 more
wiley   +1 more source

Real-life evaluation of the effectiveness of biologics for chronic rhinosinusitis with nasal polyps in Europe: a Delphi study to define key variables for the INVENT registry. [PDF]

Front Allergy
Backer V, De Corso E, Mortuaire G, Prokopakis E, Drøhse Kjeldsen A, Gevaert P, Chaker AM, Azevedo L, von Buchwald C, Bequignon E, Brozek-Madry E, Constantinidis J, Cornet M, Fokkens WJ, Gibson PG, Grande Hansen A, Mullol J, Reitsma S, Toppila-Salmi S, Soyka MB, Wagenmann M, Hellings PW.   +21 more
europepmc   +1 more source

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

Public reporting guidelines for outbreak data: Enabling accountability for effective outbreak response by developing standards for transparency and uniformity.

Public Health
Grégoire V, Zhu AW, Brown CM, Brownstein JS, Cardo D, Cumming F, Danila R, Donnelly CA, Duchin JS, Fill MA, Fullerton K, Funk S, George D, Hopkins S, Kraemer MUG, Layton M, Lessler J, Lynfield R, McCaw JM, McPherson TD, Moore Z, Morgan O, Riley S, Rosenfeld R, Samoff E, Schaffner W, Shaffner J, Sturm R, Terashita D, Walke H, Washington RE, Rivers CM.   +31 more
europepmc   +1 more source

Blockchain-enhanced electoral integrity: a robust model for secure digital voting systems in Oman. [PDF]

F1000Res
Shaikh A, Adhikari N, Nazir A, Shah AS, Baig S, Al Shihi H.   +5 more
europepmc   +1 more source

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

Deep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Xueqiu He, Liang Zhao   +7 more
wiley   +1 more source

Starving for Data: Eating Disorders Prevalence and Research Gaps in Southern Africa

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Studies reporting prevalence estimates of eating disorders in Southern Africa are scarce. To fill this gap, the present Research Forum reviews existing literature on the prevalence of eating disorders, including as assessed by clinical interviews, screeners, and self‐reported behaviors, among individuals in Southern Africa.
Bernou Melisse, Jojanneke M. Bijsterbosch, Lot Sternheim   +2 more
wiley   +1 more source

Characteristics of a responsible community robot: Data from a Delphi study. [PDF]

Data Brief
Maule E, Goudswaard M, Philamore H.
europepmc   +1 more source

Flexible methods for species distribution modeling with small samples

Ecography, EarlyView.
Species distribution models (SDMs) predict where species live or could potentially live and are a key resource for ecological research and conservation decision‐making. However, current SDM methods often perform poorly for rare or inadequately sampled species, which include most species on earth, as well as most of those of the greatest conservation ...
Brian S. Maitner, Robert L. Richards, Ben S. Carlson, John M. Drake, Cory Merow   +4 more
wiley   +1 more source

PathwayVote: an R package for robust pathway enrichment analysis for DNA methylation data using a consensus-based voting framework. [PDF]

Bioinformatics
Zheng Y, Gao F, Hou L.
europepmc   +1 more source