Results 191 to 200 of about 2,899 (258)

RMDNet: RNA-aware dung beetle optimization-based multi-branch integration network for RNA-protein binding sites prediction. [PDF]

BMC Bioinformatics
Zhang J, Peng Y, Cui F, Zhang Z, Yan S, Zhang Q.   +5 more
europepmc   +1 more source

Deep Learning Pipeline for the Identification of Ground Beetles (Carabidae) in New Zealand

New Zealand Journal of Zoology, Volume 53, Issue 3, September 2026.
The identification of invertebrates is often difficult and time‐consuming because of their high abundance and diversity. This limits the use of invertebrates in environmental monitoring and conservation. However, computer vision approaches combined with deep learning models offer a range of benefits to insect conservation, particularly for image‐based ...
Yuzhi Gong, Aaron M. T. Harmer, Darren F. Ward   +2 more
wiley   +1 more source

Multi-strategy dung beetle optimization for robust indoor object detection and tracking for visually impaired people with hybrid deep learning networks. [PDF]

Sci Rep
Hilal AM, Albalawneh D, Bouchelligua W, Sharif MM.   +3 more
europepmc   +1 more source

River Sand and Gravel Mining: Global Drivers, Impacts, and Pathways for Sustainable Management

Reviews of Geophysics, Volume 64, Issue 3, September 2026.
Abstract River sand and gravel are mined worldwide at volumes that now rival their natural replenishment, yet quantitative knowledge of this mining activity and its consequences lags far behind many other global environmental pressures. We synthesize 411 peer‐reviewed studies published since 1974 within a new Driver‐to‐Management Pathway for ...
Edward Park, Christopher R. Hackney, Dung Duc Tran, Mette Bendixen, Jim Best, Kai Wan Yuen, Hannah Runeckles, Md Sadiul Alam Chyon, Karl Kästner, Sonu Kumar, Halinishi Yusuf, Vanessa Lamb, Lars L. Iversen, Aelis Spiller, Rajiv Sinha, Eduardo Francisco da Silva, Enner Alcantara, Chengcheng Wu, Chengpeng Lu, Chu Jian, Jingyu Wang, Nguyen Duc Thien, Lian Feng, Priyank Pravin Patel, Jiachun Huang, Adam D. Switzer   +25 more
wiley   +1 more source

Study on ensemble model with weight allocation based on improved dung beetle optimization algorithm for screening colorectal cancer using laboratory test indicators. [PDF]

J Gastrointest Oncol
Yu Z, Wang J, Li P, Xu W.
europepmc   +1 more source

Diabetes‐related barriers to cancer screening in women with type 2 diabetes: A qualitative interview study

British Journal of Health Psychology, Volume 31, Issue 3, September 2026.
Abstract Objectives People with type 2 diabetes (T2DM) are more likely to develop breast and bowel cancers. Despite this, cancer screening participation is lower among women with diabetes than among women without diabetes, indicating diabetes‐related barriers to screening, but little research has examined this.
Rebecca Spencer, Georgina Jones, Siobhán McHugh, Ramzi A. Ajjan, Rebecca J. Birch, Laura Ashley   +5 more
wiley   +1 more source

Elucidating the functions of gut microbiota from two edible dung beetle species: Implications for waste management and food industry. [PDF]

PLoS One
Mwanza SS, Mudalungu CM, Makwatta J, Kabii J, Kimani NM, Tanga CM.   +5 more
europepmc   +1 more source

A Non‐Destructive Method for Sex Identification in a Tubuliferan Thrips

Entomologia Experimentalis et Applicata, Volume 174, Issue 9, Page 1135-1140, September 2026.
Accurate sex identification of the biological control agent Pseudophilothrips ichini Hood (Thysanoptera: Phlaeothripidae) is a useful tool for colony management and experimental applications in biological control. Destructive methods of sex identification limit specimen usage, prompting the need for a sex identification method for live thrips.
Brianna Foster, F. Allen Dray, Dale Halbritter   +2 more
wiley   +1 more source

Deep deterministic policy gradient algorithm based on dung beetle optimization and priority experience replay mechanism. [PDF]

Sci Rep
Zhu H, Rong C, Liu H.
europepmc   +1 more source

A Fly in the Ointment? Non‐Target Fly Pest Benefits From Reduction in Ivermectin During Targeted Selective Treatment

Entomologia Experimentalis et Applicata, Volume 174, Issue 9, Page 1022-1032, September 2026.
Targeted Selective Treatment (TST) can reduce the rate of resistance development in livestock gastrointestinal nematodes but can also reduce the effects of anthelmintics on non‐target organisms. Most studies of non‐target anthelmintic effects focus on beneficial species.
Megan J. Lewis, Raphael K. Didham, Jacob D. Berson, Theodore A. Evans   +3 more
wiley   +1 more source