Results 161 to 170 of about 132,324 (298)

USAID's Locally‐Led Development Agenda: Open Government and Independent Monitoring

Public Administration and Development, EarlyView.
ABSTRACT USAID's ambitious localization agenda between 2021–2024—suspended in early 2025—aimed to provide more funding for local organizations, strengthen local systems, and co‐create with local communities. This study uses pre‐2025 open government data to identify continuity and change during USAID’s localization push.
Jeffrey Hallock, Jonathan Fox, Nicholas Chen   +2 more
wiley   +1 more source

Fraud detection and explanation in medical claims using GNN architectures. [PDF]

Sci Rep
Muhammad R, Tbaishat D, Nazir A, Yacoub S, AbdulRazek M, El-Enen MAA, Sahlol AT.   +6 more
europepmc   +1 more source

‘We want to be the hosts of this story’: Learning from community‐led approaches to data governance of land use for nature recovery

People and Nature, EarlyView.
Abstract Debates abound regarding how to use land for nature recovery and environmental governance. Such decisions require an understanding of benefits and trade‐offs, and increasingly rely on vast quantities of data, delivered through digital technologies.
Lucy Jenner, Marc J. Metzger, Darren Moseley, Ed Forrest   +3 more
wiley   +1 more source

Tackling fraud detection with an enhanced Kepler optimization and ghost opposition-based learning. [PDF]

Front Artif Intell
Egami RH, Abd El-Mageed AA, Gafar M, Abohany AA.   +3 more
europepmc   +1 more source

Aggregation‐induced enhanced emission for quantification of recycled content in automotive plastics

Polymer International, EarlyView.
Quantifying recycled content in four automotive plastics using aggregation‐induced enhanced emission showed that performance was highly dependent on both polymer and additive chemistries. Abstract The use of plastics in the automotive industry is increasing due to their versatility, light weight and affordability.
Saleh S Soomro, Chaehwan Hong, Michael P Shaver   +2 more
wiley   +1 more source

RABEM: risk-adaptive Bayesian ensemble model for fraud detection. [PDF]

Sci Rep
Almarshad FA, Zakariah M, Gashgari GA, Vaiyapuri T.   +3 more
europepmc   +1 more source

Science Educators and Researchers Must Uphold the Human Rights of Trans, Nonbinary, and Intersex Persons

Science Education, EarlyView.
Abstract Trans, nonbinary, and intersex persons are—and have always been—an integral part of humankind. However, these communities are under attack. We live in a time of growing state repression and the normalization of political violence against trans, nonbinary, and intersex persons throughout much of the world, and we have a responsibility to ...
Quentin C. Sedlacek, A. M. Aramati Casper, Katherine Doerr, Sophia Jeong, Nelly K. M. Marosi, K. Rende Mendoza, Marco Reggiani, Shersingh Joseph Tumber‐Dávila, Jennifer D. Adams, Andrew P. Anderson, Lucy Avraamidou, Charlie K. Blake, Tina Cheuk, Sara J. Dozier, Sarah L. Eddy, Alexander Eden, Rebecka Fingalsson, Michelle Friend, Agustín Fuentes, Heather Haeger, Kathryn L. Kirchgasler, Rishi Krishnamoorthy, Catherine Lemmi, Jeffrey Maloy, Dax Ovid, Kathryn Ribay, Ronan O. Rock, Tatiane Russo‐Tait, Sara Tolbert, Brie Tripp, Maria Varelas   +30 more
wiley   +1 more source

Boundary-aware dual-discriminator generative adversarial network for data augmentation in financial transaction fraud detection. [PDF]

PLoS One
Zhu H, Wang Z, Xie Y, Yao J.
europepmc   +1 more source

Toward a Systems Model of Sustainability Organizational Culture Transformation for Corruption Mitigation: A Review and Research Agenda

Sustainable Development, EarlyView.
ABSTRACT Corruption, particularly in the corporate sector, is a major sustainable development problem since it affects the balanced development of society, the environment, and the economy. Although it is well acknowledged that a unified organizational culture is essential for fostering a sustainable enterprise and that a suitable culture can reduce ...
Pana Ratanabanangkoon, Sooksan Kantabutra   +1 more
wiley   +1 more source

Retraction Note: Optimizing credit card fraud detection with random forests and SMOTE. [PDF]

Sci Rep
Sundaravadivel P, Isaac RA, Elangovan D, KrishnaRaj D, Rahul VVL, Raja R.   +5 more
europepmc   +1 more source