Results 31 to 40 of about 485 (118)

Changes of Potential Suitable Areas for Lynx Under Climate Change in Mohe Area, Daxing'anling Mountains, China

Wildlife Letters, EarlyView.
Climate change drives shifts in suitable habitats for Eurasian lynx and its prey (hare, roe deer) in Mohe, Daxing'anling Mountains. Under RCP scenarios, moderate warming (RCP4.5) promotes substantial habitat expansion, while high‐emission conditions (RCP8.5) lead to strong expansion in the 2050s but slower gains and partial contraction by the 2070s ...
Binglian Liu, Dan Ju, Hong Chen, Qi Qi, Geng Liu, Shaochun Zhou   +5 more
wiley   +1 more source

Interference Management in Private 5G Networks via Interference Source Localization and Radio Environment Map Construction

IEEE Access
Private 5G (P5G) networks are driving large-scale industrial and enterprise internet of things (IoT) deployments. However, uncoordinated P5G deployments can lead to unintended signal leakage and inter-network interference between neighboring P5G systems.
Kyung-Won Kim, Eun Sook Jin, Kyung-Yul Cheon, Hewon Cho, Hyeonsik Yoon, Hyeyeon Kwon, Seungkeun Park   +6 more
doaj   +1 more source

Infection control in the brain and the eye

Acta Ophthalmologica, EarlyView.
Abstract The Central Nervous System (CNS), comprising the brain and the eye, is considered to have a ‘privileged’ mechanism for dealing with immunological challenge (immune privilege, IP). CNS IP has been revealed through experiments using foreign protein antigens and cell and tissue alloantigens (grafts), but evidence for a role for IP in modulating ...
John V. Forrester, Paul G. McMenamin, Samantha J. Dando   +2 more
wiley   +1 more source

A perspective on automated rapid eye movement sleep assessment

Journal of Sleep Research, Volume 34, Issue 2, April 2025.
Summary Rapid eye movement sleep is associated with distinct changes in various biomedical signals that can be easily captured during sleep, lending themselves to automated sleep staging using machine learning systems. Here, we provide a perspective on the critical characteristics of biomedical signals associated with rapid eye movement sleep and how ...
Mathias Baumert, Huy Phan
wiley   +1 more source

Wintering Barnacle Geese Exhibit an Increased Behavioural Drive for Sleep After Sleep Deprivation Without a Clear EEG‐Based Sleep Rebound

Journal of Sleep Research, EarlyView.
ABSTRACT Sleep is essential for normal physiological functioning, and sleep deprivation is typically compensated by increasing subsequent sleep duration and/or intensity. However, a recent study showed that barnacle geese (Branta leucopsis) exhibit seasonal variation in sleep homeostasis, with full recovery of sleep after sleep deprivation in summer ...
Robin Pijnacker, Giancarlo Allocca, Alexei L. Vyssotski, Peter Meerlo, Sjoerd J. van Hasselt   +4 more
wiley   +1 more source

The Effect of Closed‐Loop Auditory Stimulation on Memory Consolidation and Sleep Physiology in an Ecological Setting

Journal of Sleep Research, EarlyView.
ABSTRACT Slow wave sleep plays a crucial role in overnight memory consolidation, with slow oscillations serving as a critical mechanism. Recent studies have identified closed‐loop auditory stimulation as an effective method to enhance slow oscillatory activity during slow wave sleep, thereby facilitating memory consolidation.
Angie Baldassarri, Damiana Bergamo, Federico Salfi, Domenico Corigliano, Michele Ferrara, Aurora D'Atri, Nicola Cellini   +6 more
wiley   +1 more source

Demonstration Platform to Emulate Cognitive GEO-LEO Dual Satellite System

IEEE Access
Cognitive radio technology represents a transformative advancement in modern telecommunications, enabling real-time adaptation and optimisation of communication systems through sensing, analysis, and decision-making.
Kithmini Weththasinghe, Ying He, Quynh Tu Ngo, Beeshanga Jayawickrama, Eryk Dutkiewicz   +4 more
doaj   +1 more source

Optimising Sleep Stage Detection Using a Minimal Non‐EEG Physiological Signal Set and Deep Learning

Journal of Sleep Research, EarlyView.
ABSTRACT Automatic sleep stage classification is essential for enabling non‐invasive, at‐home monitoring. However, current methods often rely on electroencephalogram (EEG) signals and ad‐hoc development approaches that limit reproducibility. We present a reproducible engineering framework for a deep learning model based on the U‐Net architecture that ...
Ángel Serrano Alarcón, Maksym Gaiduk, Natividad Martínez Madrid, Juan Antonio Ortega, Ralf Seepold   +4 more
wiley   +1 more source

The Potential of Ensemble‐Based Automated Sleep Staging on Single‐Channel EEG Signal From a Wearable Device

Journal of Sleep Research, EarlyView.
ABSTRACT Machine‐learning‐based sleep staging models have achieved expert‐level performance on standard polysomnographic (PSG) data. However, their application to EEG recorded by wearable devices remains limited by non‐conventional referencing montage and the lack of benchmarking against PSG.
Federico Salfi, Domenico Corigliano, Giulia Amicucci, Samantha Mombelli, Aurora D'Atri, John Axelsson, Michele Ferrara   +6 more
wiley   +1 more source

Unmanned Aerial Vehicle-Enabled Aerial Radio Environment Map Construction: A Multi-Stage Approach to Data Sampling and Path Planning

Drones
An aerial Radio Environment Map (REM) characterizes the spatial distribution of Received Signal Strength (RSS) across a geographic space of interest, which is crucial for optimizing wireless communication in the air.
Junyi Lin, Hongjun Wang, Tao Wu, Zhexian Shen, Ruhao Jiang, Xiaochen Fan   +5 more
doaj   +1 more source