Results 201 to 210 of about 506,112 (296)

The evolutionary ecology of bird-ant interactions: a pervasive but under-studied connection. [PDF]

Proc Biol Sci
Avilés JM.
europepmc   +1 more source

Generative Artificial Intelligence Shaping the Future of Agri‐Food Innovation

AgriFood: Journal of Agricultural Products for Food, EarlyView.
Emerging use cases of generative artificial intelligence in agri‐food innovation. ABSTRACT The recent surge in generative artificial intelligence (AI), typified by models such as GPT, diffusion models, and large vision‐language architectures, has begun to influence the agri‐food sector.
Jun‐Li Xu, Dimitrios Argyropoulos, Tamíris da Costa   +2 more
wiley   +1 more source

Universal metabolic constraints shape the evolutionary ecology of diving in animals. [PDF]

Proc Biol Sci, 2020
Verberk WCEP, Calosi P, Brischoux F, Spicer JI, Garland T, Bilton DT.   +5 more
europepmc   +1 more source

Wine Tourism as a Catalyst for Sustainable Performance: The Mediating Role of Corporate Legitimacy and Green Innovation

Agribusiness, EarlyView.
ABSTRACT This study aims to explore the influence of Wine Tourism (WT) on the Sustainable Performance (SP) of wineries in Spain. It particularly investigates how Corporate Social Legitimacy (CSL) and Green Innovation (GI) may act as intermediary factors in this relationship.
Javier Martínez‐Falcó, Eduardo Sánchez‐García, Bartolomé Marco‐Lajara, Luis A. Millán‐Tudela   +3 more
wiley   +1 more source

Climate‐Smart Dairy Practices: The Role of Practice Clusters in Enhancing the Performance of Dairy Farms in Kenya

Agribusiness, EarlyView.
ABSTRACT Climate variability is affecting the productivity, profitability, and resilience of smallholder dairy producers in developing countries. The adoption of climate‐smart (CS) dairy practices has been promoted to mitigate these negative effects. However, while interest in dairy CS practices is growing, empirical evidence on their adoption patterns
Mercy Mburu, Amin Mugera, John Mburu, Rose Nyikal, Oghaiki Asaah Ndambi   +4 more
wiley   +1 more source

Impact of Biomimetic Pinna Shape Variation on Clutter Echoes: A Machine Learning Approach

Advanced Intelligent Systems, EarlyView.
Bats with dynamic ear structures navigate dense, echo‐rich environments, yet the echoes they receive are highly random. This study shows that machine learning can reliably detect structural signatures in these seemingly chaotic biosonar signals. The results open new directions for biologically inspired sensing, where time‐varying receiver shapes ...
Ibrahim Eshera, Sanmeel Lagad, Rolf Müller   +2 more
wiley   +1 more source

Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence‐Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study

Advanced Intelligent Systems, EarlyView.
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez, Estefania Ascencio, Jose M. Ageitos, Lucia Feijoo, Shan He, Amirreza Daghighi, Gerardo M. Casanola‐Martin, Cristian R. Munteanu, Santiago Rodriguez Yañez, Alejandro Pazos, Harbil Bediaga, Brenda Durand Ordiales, Raquel Esteban, Ana‐Maria Heres, Jorge Curiel Yuste, Lur Epelde, Bakhtiyor Rasulev, Tomas Gonzalez, Sonia Arrasate, Humberto González‐Diaz   +19 more
wiley   +1 more source

BeeRootBot: A Bioinspired Robotic Probe Exhibiting Apical Growth through In Situ Soil Binding

Advanced Intelligent Systems, EarlyView.
This study introduces a novel method for consolidating subterranean exploration pathways in plant‐inspired robots by binding in‐situ soil with beeswax, a biobased material. This simultaneous advancement and wall‐lining process reduces penetration resistance, enhances exploration efficiency, enables communication and resource sharing, and promotes ...
Sachin Sachin, Alessio Mondini, Stefano Mariani, Emanuela Del Dottore, Barbara Mazzolai   +4 more
wiley   +1 more source

Design Challenges to Expand the Functionality of Drones: Deformable Rotorcraft and Nature‐Inspired Flapping Drones

Advanced Intelligent Systems, EarlyView.
This review systematically analyzes deformable drones, including extendable, foldable, and tilting configurations, along with nature‐inspired flapping rotorcraft. By classifying deformation principles and structural mechanisms, design trade‐offs, functional capabilities, and future development potential are highlighted.
Ju‐Hee Lee, Sumin Jung, Jinwoo Jang, Yeji Han, Minchae Kang, Jihun Seong, Suyeon Seo, Eunsol Park, Haesol Kwak, Min‐Woo Han   +9 more
wiley   +1 more source

A Female‐Locust‐Inspired Hybrid Soft‐Stiff Robotic Digger: Mimetics and Implications for Digging Efficiency

Advanced Intelligent Systems, EarlyView.
Female desert locusts dig underground to lay their eggs. They displace soil, rather than removing it, to create a tunnel. We analyze burrowing dynamics and 3D kinematics and design a locust‐inspired hybrid soft–stiff robot that reproduces this mechanism. The results show the natural strategy minimizes energy, whereas alternative patterns raise costs up
Shai Sonnenreich, Amir Ayali, Bat‐El Pinchasik   +2 more
wiley   +1 more source