Results 181 to 190 of about 163,938 (214)

Development, Characterization, and Stability of Margarine Containing Oleogels Based on Olive Oil, Coconut Oil, Starch, and Beeswax. [PDF]

Gels
Naves BVB, Silva TLTD, Nunes CA, Haddad FF, Bastos SC.   +4 more
europepmc   +1 more source

Spatial Distribution of Minerals and Selected Bioactive Compounds in White Mold-Ripened and Blue-Veined Cheeses. [PDF]

Molecules
Drašler V, Kralj Cigić I, Polak T, Marolt G, Imperl J, Čanžek Majhenič A, Cigić B.   +6 more
europepmc   +1 more source

Response to comments on "Spontaneous splenic rupture: A rare complication of concurrent malaria and dengue infections - A case report". [PDF]

Int J Surg Case Rep
Ali AO, Moumin HE, Egge AAA, Abdi MH, Olhayeh HS, Muse AH.   +5 more
europepmc   +1 more source

Reprocessing of Simulated Industrial PLA Waste for Food Contact Applications. [PDF]

Polymers (Basel)
Sepúlveda-Carter J, Faba S, Rodríguez MS, Arrieta MP.   +3 more
europepmc   +1 more source

Prevention Needs and Target Behavior Preferences in an App-Based Addiction Prevention Program for German Vocational School Students: Cluster Randomized Controlled Trial.

JMIR Mhealth Uhealth
Guertler D, Kraft E, Bläsing D, Möhring A, Meyer C, Schmidt H, Rehbein F, Neumann M, Dreißigacker A, Bischof A, Bischof G, Sürig S, Hohls L, Wurm S, Borgwardt S, Haug S, Rumpf HJ.   +16 more
europepmc   +1 more source

Teaching machines to write like humans using L-attributed grammar

Engineering Applications of Artificial Intelligence, 2020
Abstract Reading and writing are easy for humans. The automatic reading of handwritten characters has been studied for several decades. Machine learning algorithms for reading tasks often require a huge amount of data to perform with similar accuracy to humans, yet it is also difficult to gain sufficient meaningful data.
Yunxue Shao, Cheng-Lin Liu
openaire   +3 more sources

L-attributed LL(1)-grammars are LR-attributed

Information Processing Letters, 1986
Ikuo Nakata, Masataka Sassa
openaire   +3 more sources

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YooccLa: a parser generator for L-attributed grammars

2022
This paper argues that a parser generator can be developed that requires less knowledge of parser technology than most existing parser generators;that can bring parser technology within the reach of more software engineers;and that can allow a parser to be used where a designer might otherwise have chosen a fully procedural solution. A parser generator,
Butler, G, Mingins, C
openaire   +1 more source

An Efficient Attribute Evaluation Method for All L-Attributed LR Grammars

, 1991
Petr Pavlů
openaire   +2 more sources