Results 141 to 150 of about 4,265,650 (354)

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing   +4 more
wiley   +1 more source

Steady-State Delivery and Chemical Modification of Food Nutrients to Improve Cancer Intervention Ability

open access: yesFoods
Cancer is a crucial global health problem, and prevention is an important strategy to reduce the burden of the disease. Daily diet is the key modifiable risk factor for cancer, and an increasing body of evidence suggests that specific nutrients in foods ...
Sijia Hao   +5 more
doaj   +1 more source

Scientific divers quantify first known outbreaks of cold-water coral disease [PDF]

open access: yes, 2009
Coral diseases are widely reported in the tropics but the first incidence of cold-water coral disease was not noted until 2002 when divers recorded an outbreak at 10-28 m depth off Lundy in a NE Atlantic marine protected area.
Hall-Spencer, J, Hiscock, K, Munn, C
core  

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang   +3 more
wiley   +1 more source

Recent Trends in Metabolomics by NMR Spectroscopy

open access: yesAngewandte Chemie, EarlyView.
AI tools were applied to analyze more than 5 000 publications indexed in Scopus (2018–2025), identifying key trends and research directions in NMR‐based metabolomics. The artificial intelligence‐assisted workflow classified papers into six main fields of application, human health, food and nutrition, veterinary science, plants, environment, and ...
Giorgio Di Paco   +6 more
wiley   +2 more sources

Safety in Coastal and Marine Tourism

open access: yes, 2021
Coastal and marine tourism is the largest segment of the travel industry, historically associated with the Sun, Sand and Sea imagery of beach holidays, and more recently inclusive of a broad range of boating and watercraft activities within what has been termed Blue Tourism.
openaire   +2 more sources

Community-based Data Gathering and Co-management of Marine Resources in Timor-Leste [PDF]

open access: yes, 2013
This the final technical report regarding communication products and outputs created as a result of lessons learned from eleven years of the Fisheries Management Science Programme (FMSP).
John Beddington
core  

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker   +2 more
wiley   +1 more source

e-Navigation: Challenges and Opportunities [PDF]

open access: yes, 2009
e-Navigation is a recent IMO initiative that aims to integrate existing/new shipboard and shore-based navigational tools into an “all embracing” system. Defined as: “...
Alexander, Lee
core   +2 more sources

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy