Results 181 to 190 of about 258,677 (299)

Information theory for hypergraph similarity. [PDF]

Sci Adv
Felippe H, Kirkley A, Battiston F.
europepmc   +1 more source

Byte-pair-encoding for knowledge graph embeddings

Wissensgraphen (Knowledge Graphs, KGs) sind ein zentrales Mittel zur strukturierten Repräsentation großer Informationsmengen. Sie sind jedoch von Natur aus unvollständig, da Verbindungen jederzeit fehlen können.Deswegen ist die Vorhersage fehlender Verbindungen – bekannt als Link-Prediction – eine zentrale Aufgabe. Link-Prediction wird in verschiedenen
openaire   +2 more sources

Unraveling 4‐Phenylbutyrate's Therapeutic Role in SLC6A1 Disorders: Pharmacochaperoning Over HDAC Inhibition

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Variants in SLC6A1, encoding the GABA transporter 1 (GAT‐1), cause epilepsy, autism spectrum disorder, and developmental delay via loss of GABA uptake, impaired trafficking, and ER retention. We previously found that 4‐Phenylbutyrate (PBA), an FDA‐approved drug, restores GABA uptake and reduces seizures in SLC6A1‐related disorders ...
Melissa B. DeLeeuw, Karishma Randhave, Ekta Anand, Ziang (Debbie) Song, Wangzhen Shen, Jing‐Qiong Kang   +5 more
wiley   +1 more source

Stress disrupts hippocampal integration of overlapping events and memory inference in humans. [PDF]

Sci Adv
Schüren KA, Varga NL, Heinbockel H, Preston AR, Roozendaal B, Schwabe L.   +5 more
europepmc   +1 more source

Electroencephalographic Normalization as a Biomarker of Clinical Recovery in Down Syndrome Regression Disorder

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Down syndrome regression disorder is a syndrome characterized by subacute loss of cognitive, behavioral, and functional abilities in individuals with Down syndrome. Electroencephalography abnormalities are frequently observed during evaluation, but it remains unclear whether these findings represent a dynamic marker of disease ...
Jonathan D. Santoro, Mackenzie Silverman, Maeve C. Lucas, Mariam M. Yousuf, Samuel T. Otey, Stella V. Gray, Brittany Jordan, Madeline D. Kahan, Latanya D. Agurs, Michelle Van Hirtum Das, Deborah Holder, Devin King, Eileen A. Quinn, Ryan Kammeyer, Michael S. Rafii   +14 more
wiley   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source

TC2-Res: a structured fusion of tract-level and connectome-level brain imaging in small-sample cohorts of athletes. [PDF]

Front Neuroanat
Shi Y, Chen L, Huang M, Huang Z, Ou J, Zeng J.   +5 more
europepmc   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Characterizing individual and pair gaze patterns in a pair program tracing and debugging eye tracking experiment

, 2018
This study investigated the individual patterns in the pairs as well as pair patterns in the context of pair program tracing and debugging to determine what characterizes collaboration and how these patterns relate to success, where success is measured ...
VILLAMOR, MAUREEN
core  

QSyncFold: quantum neural network for multidimensional sync-discovery in protein folding. [PDF]

Brief Bioinform
Shi J, Du P, Zeng W, Wang W, Peng S, Li X.   +5 more
europepmc   +1 more source