Results 181 to 190 of about 820,509 (271)
Multi‐Scaled Cellulosic Nanonetworks from Tunicates
Microbial and plant nanonetworks of cellulose have enabled a wide range of high‐performance yet sustainable materials. Herein, a third class of cellulosic nanonetworks is showcased by exploiting the only animal tissue‐producing cellulose nanofibers, i.e., ascidians. An ultrastructure including spherical cells and a microvasculature with diameters of 50–
Mano Govindharaj+10 more
wiley +1 more source
A New Attack on Link-State Database in Open Shortest Path First Routing Protocol [PDF]
Esmail Kaffashi
openalex +1 more source
Construction of a user-friendly software-defined networking management using a graph-based abstraction layer. [PDF]
Jia Y, Ren J, Li X, He H, Zhang P, Li R.
europepmc +1 more source
Diverting Networks with Odd Paths [PDF]
Problemet Kortest Odde Sti er å finne en sti fra en node til en annen i en graf, der antall kanter i stier må være et oddetall. Selv om problemet virker som kun intet annet enn en kuriøsitet, er verdien i det at mange nyttigere problemer er enklere å ...
Simonnes, Steinar
core
A novel stratum corneum‐inspired zwitterionic hydrogel is developed for intelligent, flexible sensors, featuring intrinsic water retention and anti‐freezing properties. The quasi‐gel, composed of hygroscopic polymers and bound water, maintains its softness across a wide range of humidity.
Meng Wu+8 more
wiley +1 more source
Enhanced vehicle routing for medical waste management via hybrid deep reinforcement learning and optimization algorithms. [PDF]
Khallaf N+4 more
europepmc +1 more source
Tunable Tactile Synapses Enabled by Erasable Doping in Iongel‐Gated Nanotube Network Transistors
Artificial tactile synaptic sensors are realized by an iongel‐gated single‐walled carbon nanotube (SWCNT) transistor with reversible doping characteristics. The device senses and memorizes tactile stimuli and exhibits gate bias‐dependent excitatory or inhibitory synaptic behavior.
Yan Huang+5 more
wiley +1 more source
Open-access network science: Investigating phonological similarity networks based on the SUBTLEX-US lexicon. [PDF]
Alderete J, Mann S, Tupper P.
europepmc +1 more source