Results 1 to 10 of about 14,829 (309)

Deciphering chromatin architecture and dynamics in Plasmodium falciparum using the nucDetective pipeline. [PDF]

PLoS Comput Biol
Holzinger S, Schmutterer L, Rothe VM, Watzlowik MT, Schwartz U, Längst G.   +5 more
europepmc   +1 more source

Empirical Logic for Bio-Inspired Soft Computing: Illustrative Applications in Control Engineering and Cluster Analysis. [PDF]

Biomimetics (Basel)
Grotrian J.
europepmc   +1 more source

Early mobility to improVE health outcomes following cardiac surgery (EVE) clinical trial development: findings from workshop 2-co-created definition and prioritized barriers, facilitators and outcome and experience measures. [PDF]

Front Rehabil Sci
Phillips EK, Hay JL, Gregora A, Smith K, Chudyk AM, Shaski C, Gilchrist S, Fagan A, Ashe MC, Schultz ASH, Arora RC, Duhamel TA, O'Keefe-McCarthy S.   +12 more
europepmc   +1 more source

High-Resolution OCT of Retinal Vessels in Eyes with Vascular Leakage. [PDF]

Ophthalmol Sci
Romano F, Lamanna F, Cozzi M, Cutrupi F, Surico PL, Sarraf D, Sadda S, Gupta V, El Asrar AA, Cimino L, Staurenghi G, Invernizzi A.   +11 more
europepmc   +1 more source

Constructing three-way classifier with interval granulation neighborhood rough sets based on uncertainty invariance. [PDF]

Front Neurorobot
Wang Y, Xu T, Huang R, Liu Z, Yang J.
europepmc   +1 more source

Adaptive Disorder as the Hallmark of Nanobodies Antigen-Binding Loops. [PDF]

J Chem Inf Model
Bagordo D, Trèves G, Santorsola M, Colombo G, Lescai F.   +4 more
europepmc   +1 more source

Research on railway emergency resource scheduling strategy under multiple uncertainty coupling. [PDF]

PLoS One
Sun J, Wan Y, Lu G, Tang Z.
europepmc   +1 more source

What Understanding Is For. [PDF]

Comput Brain Behav
Motz BA, Magliano JP, McCarthy KS, McNamara DS.   +3 more
europepmc   +1 more source

Optimizing wireless sensor networks using fuzzy triangular snake graph models and fuzzy topological indices. [PDF]

Sci Rep
Hashem AF, Liaqat S, Mufti ZS, Hanif MF.
europepmc   +1 more source

Learning fuzzy representations for hypergraph node classification. [PDF]

Sci Rep
Sun Z, Geng R, Zhang G.
europepmc   +1 more source