Results 71 to 80 of about 18,075,073 (248)

Economic Impact of Sustainability in Wine Sector: A Systematic Literature Review

Agribusiness, EarlyView.
ABSTRACT Sustainability has become a key issue in the wine sector, raising questions about its compatibility with firms' economic performance. Despite growing attention to environmental and social practices, evidence on their economic implications remains fragmented.
Valentina Di Chiara, Eugenio Pomarici, Leonardo Cei   +2 more
wiley   +1 more source

Perforated fairings for landing gear noise control

, 2008
Landing gears of commercial aircraft make an important contribution to total aircraft noise in the approach configuration. Using fairings to shield components from high speed impingement reduces noise.
Boorsma, K., Koen Boorsma, Xin Zhang, Molin, N., Zhang, X., Nicolas Molin   +5 more
core   +2 more sources

Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley   +1 more source

Sound‐Based Assembly of Magnetically Actuated Soft Robots Toward Enhanced Release of Extracellular Vesicles

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Magnetic soft robots offer promise in biomedicine due to their wireless actuation and rapid response, but current fabrication methods are complex and have limited cellular compatibility. A new, contactless bioassembly strategy using hydrodynamic instabilities is introduced, enabling customizable, centimeter‐scale robots.
Wei Gao, Riccardo Tognato, Micaela Natta, Elena Della Bella, Alessandro Cianciosi, Tiziano Serra   +5 more
wiley   +1 more source

Multirobot Aerial Soft Manipulator for Floating Litter Collection

Advanced Intelligent Systems, EarlyView.
A multirobot aerial manipulator enables autonomous floating litter collection by controlling the shape of a flexible rope equipped with a hook‐based tool. Adaptive rope‐shape planning enhances grasping performance while reducing tension, demonstrating the potential of aerial robots for floating litter removal. Removing floating litter from water bodies
Antonio González‐Morgado, Sander Smits, Guillermo Heredia, Anibal Ollero, Alexandre Krupa, François Chaumette, Fabien Spindler, Antonio Franchi, Chiara Gabellieri   +8 more
wiley   +1 more source

The role of venture‐financed startups in innovation for US agriculture

American Journal of Agricultural Economics, EarlyView.
Abstract To evaluate the role played by startup companies in the innovation ecosystem of US agriculture, we compile a unique dataset of 6024 new entrants founded 1987–2019 that details their financing lifecycles, annual economic performance, and patenting activities.
Gregory D. Graff, Charles A. W. de Grazia, Nicholas E. Rada   +2 more
wiley   +1 more source

Cancer Incidence Among Swedish Seafarers Between 1985 and 2020

American Journal of Industrial Medicine, EarlyView.
ABSTRACT Background Several studies from different countries have shown that merchant seafarers have an increased cancer risk compared to the general population. The aim of this study was to provide updated information on cancer incidence in a cohort of Swedish seafarers.
Maria Wallin, Helena P. Eriksson, Karl Forsell, Eva Andersson   +3 more
wiley   +1 more source

Advancements in CO2 Capture Technologies: A Review of Amine Absorption and Alternative Methods for Post‐Combustion Integration

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Carbon capture technologies are poised to become one of the primary focuses regarding the achievement of net‐zero emissions by the year 2050. In these technologies, particular attention is given to post‐combustion CO2 capture, which is more easily implemented at existing power stations and other industries.
Satyajit Mukherjee, Ashish Kumar, Mayurkumar P. Patil, Rohit B. Meshram   +3 more
wiley   +1 more source

PbAT: A user‐friendly R/Shiny platform for data‐driven decision support in crop improvement

Applications in Plant Sciences, EarlyView.
Abstract Premise Modern plant breeding requires robust analysis of complex, multi‐environment datasets to identify superior genotypes. Although R offers powerful statistical packages, their use often requires programming expertise. Existing graphical user interface (GUI)‐based tools are either limited in scope or not openly accessible, leaving breeders
Krishnan P. Abhijith, K. K. Vinod, Ranjith Kumar Ellur, K. T. Ravikiran, Rachit Kumar Saxena, Vignesh Muthusamy, S. Gopala Krishnan   +6 more
wiley   +1 more source

Integrating machine learning, deep learning, and image analysis for seed species classification

Applications in Plant Sciences, EarlyView.
Abstract Premise The growing demand for wildflower seeds in ecological restoration requires reliable species identification, yet current market products often contain heterogeneous species. As seed identification is labor‐intensive and requires advanced botanical knowledge, we evaluated multiple segmentation and classification approaches to determine ...
Jonathan Ashworth, Eloise Barrett, Rebonto Haque, Ben Wildey, Anthony Hall, Felix Shaw, Jose J. De Vega   +6 more
wiley   +1 more source