Results 111 to 120 of about 14,297 (297)

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

Advanced 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, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Asymmetric ENSO Forcing on the South Pacific Meridional Mode

Geophysical Research Letters
The South Pacific Meridional Mode (SPMM) influences El Niño‐Southern Oscillation (ENSO) variability, but whether ENSO triggers SPMM remains unclear. We show that ENSO can induce an in‐phase SPMM event via atmospheric teleconnections, beginning in early ...
Cheng Qi, Fan Jia
doaj   +1 more source

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

Advanced 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, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

EMG‐Driven Telemetry and Inference System for Fish: Pose Reconstruction and Flow Sensing

Advanced Intelligent Systems, EarlyView.
This work introduces an electromyography (EMG)‐driven telemetry framework that reconstructs body pose and infers hydrodynamic conditions in freely swimming fish. A custom 16‐channel archival system records intramuscular EMG, enabling deep‐learning models to decode joint kinematics, classify flow regimes, and reveal channel‐efficient sensing strategies.
Rahdar Hussain Afridi, Waqar Hussain Afridi, Muhammad Hamza, Ahsan Tanveer, Mingxin Wu, Xingwen Zheng, Liang Li, Guangming Xie   +7 more
wiley   +1 more source

ENSO’s impact on linear and nonlinear predictability of Antarctic sea ice

npj Climate and Atmospheric Science
While the influence of ENSO on Antarctic sea ice variability is well-known, its role in sea ice predictability, both linear and nonlinear, remains unexplored.
Yunhe Wang, Xiaojun Yuan, Yibin Ren, Xiaofeng Li, Arnold L. Gordon   +4 more
doaj   +1 more source

Incorporating prey fields into North Atlantic right whale density surface models

Endangered Species Research
Predictions of North Atlantic right whale Eubalaena glacialis distributions are an increasingly important tool used in conservation efforts for this Critically Endangered species.
CH Ross, JJ Roberts, DE Pendleton, DC Brady, K Stamieszkin, NR Record   +5 more
doaj   +1 more source

Adaptive Macroscopic Ensemble Allocation for Robot Teams Monitoring Spatiotemporal Processes

Advanced Intelligent Systems, EarlyView.
We propose an online, environment feedback‐driven macroscopic ensemble approach to adapt robot team task allocation in spatiotemporal environments by controlling robot populations rather than assigning individual robots, all while maintaining robust team performance even for small teams. Our simulation and experimental results show better or comparable
Victoria Edwards, Thales C. Silva, M. Ani Hsieh   +2 more
wiley   +1 more source

Uncertainty-Guided Prediction Horizon of Phase-Resolved Ocean Wave Forecasting Under Data Sparsity: Experimental and Numerical Evaluation

Accurate short-term wave forecasting is critical for the safe and efficient operation of marine structures that rely on real-time, phase-resolved ocean wave information for control and monitoring purposes (e.g., digital twins). These systems often depend
Kimberly Huguenard, Yuksel Rudy Alkarem, Stephan T. Grilli, Richard W. Kimball   +3 more
core   +1 more source

FuXi-Ocean: A Global Ocean Forecasting System with Sub-Daily Resolution

CoRR
Accurate, high-resolution ocean forecasting is crucial for maritime operations and environmental monitoring. While traditional numerical models are capable of producing sub-daily, eddy-resolving forecasts, they are computationally intensive and face challenges in maintaining accuracy at fine spatial and temporal scales.
Qiusheng Huang, Yuan Niu, Xiaohui Zhong, Anboyu Guo, Lei Chen, Dianjun Zhang, Xuefeng Zhang, Hao Li   +7 more
openaire   +2 more sources

Post‐Hiatus Enhancement of ENSO Forecast Skill via Salinity‐Mediated Indo‐Pacific Inter‐Basin Coupling

Geophysical Research Letters
The El Niño–Southern Oscillation (ENSO) predictability has notably declined since the 1998–2013 global warming hiatus, challenging conventional sea surface temperature (SST)‐based forecast models.
Jing Wang, Janet Sprintall, Haoyu Wang, Xiaofeng Li   +3 more
doaj   +1 more source