Results 181 to 190 of about 905,651 (301)

Integrating CBAM and Squeeze‐and‐Excitation Networks for Accurate Grapevine Leaf Disease Diagnosis

Food Science &Nutrition, Volume 13, Issue 6, June 2025.
This study presents a deep learning‐based model for classifying grape leaf diseases, including grape scab and downy mildew. Initially, pretrained models were used, followed by the integration of CBAM and SE attention modules to improve performance.
Yavuz Unal
wiley   +1 more source

Colorimetric detection of Hg²⁺ based on the enhanced oxidase-mimic activity of CuO/Au@Cu₃(BTC)₂ triggered by Hg². [PDF]

RSC Adv
Yang M, Wang J, Xue X, Jiang H.
europepmc   +1 more source

Novel machine‐learning bioinformatics reveal distinct metabolic alterations for enhanced colorectal cancer diagnosis and monitoring

iMetaOmics, Volume 2, Issue 2, June 2025.
The PANDA pipeline for colorectal cancer (CRC) analysis integrates metabolomic data from LC‐MS with machine learning techniques to classify CRC stages and predict biomarkers. Initially, the raw metabolomic data is processed using partial least squares discriminant analysis (PLS‐DA) to reduce dimensionality and highlight key features.
Rui Xu, Hyein Jung, Fouad Choueiry, Shiqi Zhang, Rachel Pearlman, Heather Hampel, Ning Jin, Jieli Li, Jiangjiang Zhu   +8 more
wiley   +1 more source

The Circular Phosphorus Economy: Agronomic Performance of Recycled Fertilizers and Target Crops

Journal of Plant Nutrition and Soil Science, Volume 188, Issue 3, Page 408-421, June 2025.
ABSTRACT Background The circular phosphorus (P) economy addresses economic and environmental penalties inherent to the current linear P economy. Phosphorus sources recovered from waste steams (recyclates) offer an alternative to conventional fertilizers. Aim This research aimed to assess the agronomic performance of P recyclates derived from wastewater
Michael Walsh, Gerhard Schenk, Nicole Robinson, Samuel John, Buddhi Dayananda, Vithya Krishnan, Christian Adam, Ludwig Hermann, Susanne Schmidt   +8 more
wiley   +1 more source

Facile one-pot reduction of β-nitrostyrenes to phenethylamines using sodium borohydride and copper(II) chloride. [PDF]

Beilstein J Org Chem
D'Andrea L, Jademyr S.
europepmc   +1 more source

Predicting VCSEL Emission Properties using Transformer Neural Networks

Laser &Photonics Reviews, Volume 19, Issue 12, June 18, 2025.
This study presents an innovative approach to predicting VCSEL emission characteristics using transformer neural networks. It is demonstrated how to modify the transformer neural network for applications in physics. This model trains faster and predicts more accurately compared to conventional neural networks. The transformer architecture also suitable
Aleksei Belonovskii, Elizaveta Girshova, Erkki Lähderanta, Mikhail Kaliteevski   +3 more
wiley   +1 more source

Highly Sensitive Whole-Cell Mercury Biosensors for Environmental Monitoring. [PDF]

Biosensors (Basel)
Zevallos-Aliaga D, De Graeve S, Obando-Chávez P, Vaccari NA, Gao Y, Peeters T, Guerra DG.   +6 more
europepmc   +1 more source

Predicting corrosion for life estimation of ocean and coastal steel infrastructure

Materials and Corrosion, Volume 76, Issue 6, Page 776-789, June 2025.
A schematic bi‐modal model for long‐term marine corrosion of steel exposed to marine immersion, tidal, splash and atmospheric zones and other nonmarine zones such as in contact with sands and soils. Also applicable to alloys such as copper‐nickels and aluminium.
Rob E. Melchers, Robert Jeffrey, Igor A. Chaves, Robert B. Petersen   +3 more
wiley   +1 more source

Abstracts

Molecular Oncology, Volume 19, Issue S1, Page 1-895, June 2025.
Abstracts submitted to the ‘EACR 2025 Congress: Innovative Cancer Science’, from 16–19 June 2025 and accepted by the Congress Organising Committee are published in this Supplement of Molecular Oncology, an affiliated journal of the European Association for Cancer Research (EACR).
wiley   +1 more source

Metrolomics: Pioneering Holistic Measurement for Nurturing Sustainable Agriculture

Modern Agriculture, Volume 3, Issue 1, June 2025.
In celebration of the 150th World Metrology Day recognized by the United Nations Educational, Scientific and Cultural Organisation, we introduce the term ‘metrolomics’ as denotation to the trend of merging accurate measurement with multi‐omics, artificial intelligence, modelling methods, and standardisation, to bolster sustainable agriculture and food ...
Chenze Lu, Yufei Zhou, Yusu Cheng, Sheng Teng, Shaojun Dai, Pei Xu   +5 more
wiley   +1 more source