Results 161 to 170 of about 248,355 (346)

Sex‐specific differences in mortality and neurocardiac interactions in the Kv1.1 knockout mouse model of sudden unexpected death in epilepsy (SUDEP)

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend The Kcna1 knockout mouse model of sudden unexpected death in epilepsy (SUDEP) exhibits sex‐specific differences in SUDEP risk. Female mice exhibit a lower SUDEP risk than males, despite similar seizure characteristics and interictal cardiac function across sexes.
Kelsey Paulhus   +11 more
wiley   +1 more source

Secure Geographic Routing in Ad Hoc and Wireless Sensor Networks

open access: yesEURASIP Journal on Wireless Communications and Networking, 2010
Security in sensor networks is one of the most relevant research topics in resource constrained wireless devices and networks. Several attacks can be suffered in ad hoc and wireless sensor networks (WSN), which are highly susceptible to attacks, due to ...
Zahariadis Theodore   +6 more
doaj  

Wireless ad-hoc networks

open access: yes, 2008
Wireless ad-hoc networks became more and more popular in the past few years, owing to their use of deployment. In such a network, the hosts (or nodes) exchange data packets via radio links, without resorting to any hierarchic scheme nor supervisory control.
openaire   +1 more source

Affective CT‐touch attenuates cortical responses and subjective attention during temporal summation of second pain

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend The study investigated the modulatory effects of affective touch on temporal summation of second pain (TSSP) in 32 romantic couples (N = 64). The design included a dyadic session (partner's CT‐optimal stroking vs. static touch) and an individual session (robotic CT‐touch vs. vibration control).
Márcia da‐Silva   +5 more
wiley   +1 more source

A Survey for Deep Reinforcement Learning Based Network Intrusion Detection

open access: yesApplied AI Letters, Volume 7, Issue 2, June 2026.
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang   +3 more
wiley   +1 more source

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