Results 161 to 170 of about 452,971 (205)

Chromatographic Profiling of Artisanal Chocolates: Volatile Composition and Methylxanthines as Markers of Cocoa Content. [PDF]

J Food Sci
Altissimo J, Cardoso I, Araújo BQ, Pereira AR, Almeida JVM, Santos NAD, Costa VC, Carneiro Lima MTWD.   +7 more
europepmc   +1 more source

Application of UMAP to identify refined gold sources using chemical composition analysis. [PDF]

Sci Rep
Verbel AA, Gregory DD, Schutesky ME, Thompson J, McInnes L, Figueroa MA, Moreira-Lima EA, Tadao-Joko C.   +7 more
europepmc   +1 more source

KRAS-G12C: The neglected biomarker to detect patients with MUTYH-associated polyposis. [PDF]

Int J Cancer
Medeiros ABD, Dos Santos GO, Casali-da-Rocha JC, Junior SA, Souza E Silva V, Berardinelli GN, Antoniazzi AP, Reis RM, Carraro DM, Torrezan GT.   +9 more
europepmc   +1 more source

HolomiRA: a reproducible pipeline for miRNA binding site prediction in microbial genomes. [PDF]

BMC Bioinformatics
Bruscadin JJ, Cardoso TF, Conteville LC, da Silva JV, Ibelli AMG, Pena GAC, Porto T, de Oliveira PSN, Andrade BGN, Zerlotini A, Regitano LCA.   +10 more
europepmc   +1 more source

A CT Dataset with RECIST Measurements and Comprehensive Segmentation Masks for Tumors and Lymph Nodes. [PDF]

Sci Data
Rojas-Pizarro R, Vásquez-Venegas C, Pereira G, Eyssautier MF, Bravo-Bahamóndez F, Sanhueza N, Gallardo-Badilla P, Caro-Flores F, Ormeño-Candia C, Santander F, Pérez N, Molina MM, Rojas G, Härtel S, Cabrera-Vives G.   +14 more
europepmc   +1 more source

Barriers to implementing the WHO Safe Childbirth Checklist in maternity hospitals, Brazil. [PDF]

Rev Saude Publica
Brito EWG, Rosendo TMSS, Amaro FPM, Medeiros WR, Silva FS, Freitas MR, Santos RBA, Molina RL, Semrau KEA, Bobanski L, Tuller DE, Gama ZADS.   +11 more
europepmc   +1 more source

Fine-tuning the buzz: comparing visitation frequency and pollination effectiveness in plant-pollinator networks. [PDF]

New Phytol
Valadão-Mendes LB, Santana PC, Rech AR, Brito VLG, Maruyama PK.   +4 more
europepmc   +1 more source

Developing a Machine Learning Model for Hydrogen Bond Acceptance Based on Natural Bond Orbital Descriptors. [PDF]

J Org Chem
Melo DU, Carneiro LM, Coutinho-Neto MD, Homem-de-Mello P, Bartoloni FH.   +4 more
europepmc   +1 more source