Results 91 to 100 of about 61,043 (166)

Dried plasma retains hemostatic function and thermal stability during Arctic military operations

Transfusion, Volume 66, Issue S1, Page S159-S171, May 2026.
Abstract Background Dried plasma offers a practical alternative for remote damage control resuscitation, providing hemostatic support and volume replacement. The Arctic presents challenges that necessitate the need for blood‐based resuscitation to extend the “golden hour.” To address this, we evaluated the hemostatic and thermal stability of dried ...
Kanwal Singh, Aron A. Shoara, Henry T. Peng, Viktor Prifti, Katy Moes, Cerys McGuinness, Tristan Bonnici, Maria Shiu, Sushmaa Chandralekha Selvakumar, Peter Andrisani, Pierre‐Marc Dion, Damien Miller, Sebastian Vuong, Colin A. Kretz, Philip J. Wallace, Shawn G. Rhind, Wendy Sullivan‐Kwantes, Andrew N. Beckett   +17 more
wiley   +1 more source

A negotiation-based networking methodology to enable cooperation across heterogeneous co-located networks [PDF]

, 2012
Becue, Pieter, De Poorter, Eli, Demeester, Piet, Moerman, Ingrid, Rovcanin, Milos   +4 more
core   +1 more source

A Review of Wireless Charging Solutions for FANETs in IoT-Enabled Smart Environments. [PDF]

Sensors (Basel)
Aslam N, Wang H, Esmaiel H, Junejo NUR, Agamy A.   +4 more
europepmc   +1 more source

AI-enhanced routing and slicing strategy for QoS-aware mobile ad hoc networks. [PDF]

Sci Rep
C V, Al-Otaibi S, V BV, T S, Jamjoom MM, J S.   +5 more
europepmc   +1 more source

Blockchain and federated Q-learning-based secure, fault tolerant, and energy efficient framework for ad hoc networks. [PDF]

PLoS One
Tandon R, Gupta PK, Cheng X.
europepmc   +1 more source

An in depth investigation on device-to-device communication in heterogeneous networks: opportunities and challenges. [PDF]

MethodsX
Ali A, Zehra A, Nafees M, Amin MA.
europepmc   +1 more source

Ad hoc bandwidth requests and power conservation in 5G wireless networks with tiny cells. [PDF]

Sci Rep
Rajesh A, Ravikumar CV, Sulthana SF, Kim TH, Shankar T, Srinivasulu A, Altameem T.   +6 more
europepmc   +1 more source

DRLO-VANET: a deep reinforcement learning-based offloading framework for low-latency and energy-efficient task execution in VANETs. [PDF]

Sci Rep
Neelima S, Sree SR, Ramakrishnaiah N.
europepmc   +1 more source

Hybrid deep learning techniques for adaptive routing and congestion control in urban VANET for wireless mobile networking. [PDF]

Sci Rep
Maray M.
europepmc   +1 more source

Advanced Clustering for Mobile Network Optimization: A Systematic Literature Review. [PDF]

Sensors (Basel)
Nawej CM, Owolawi PA, Walingo TM.
europepmc   +1 more source