Results 241 to 250 of about 340,858 (296)
Abstract BACKGROUND This study explores the development of active films incorporating ferulic acid (FA), a natural antioxidant, at concentrations of 0 (F1), 2.5 (F2), and 5 g L−1 (F3) into sodium alginate (SA; 13 g kg−1) and pectin (P; 10 g kg−1) matrix.
Shaik Sadiya +4 more
wiley +1 more source
The Concept of Fertility in the Field of Fruit Growing and Its Evolution from Ancient Times to Present Day. [PDF]
Barone E.
europepmc +1 more source
The Final Week of Jesus Christ\u27s Ministry - Thursday [PDF]
Willmington, Harold
core +1 more source
Abstract BACKGROUND Black flesh (BF) is an internal disorder in mango, characterized by the development of dark brown to black pigmentation in the inner mesocarp tissue during storage or transport. This study investigated the effects of harvest maturity, low storage or low transport temperatures, and 1‐methylcyclopropene (1‐MCP) on mango fruit ...
Bruna Parente de Carvalho Pires +8 more
wiley +1 more source
Quick and Cheap: Optimized Purification and Concentration of Bacteriophages Produced in Rich Culture Media. [PDF]
Chaïb A +3 more
europepmc +1 more source
The Sermons of Jesus Christ: The Sermon on the Mount [PDF]
Willmington, Harold
core +1 more source
Abstract BACKGROUND This study created functional fermented goat milk by adding blackberry pulp and probiotics (Lactobacillus acidophilus LA‐5 and Bifidobacterium animalis subsp. lactis Bb‐12). The preparation involved two variations of fermented goat milk with blackberry (Rubus sp.), distinguished by the absence (fermented goat milk, FGM) or inclusion
Bibiana Bittencourt Bicca +6 more
wiley +1 more source
Book Review: Fadiman, Anne. 1997. The Spirit Catches You and You Fall Down: A Hmong Child, Her American Doctors, and the Collision of Two Cultures. New York: Macmillan [PDF]
Naas, James
core +1 more source
Advancing forward osmosis predictions: A deep learning‐based surrogate modeling approach
Abstract BACKGROUND This study presents a deep learning‐based surrogate model for the rapid and accurate prediction of forward osmosis (FO) performance under diverse operating conditions. To assess the applicability of data‐driven approaches, several machine learning models – decision tree, random forest, support vector machine, and deep neural network
Hyeon Woo Park, Woo‐Ju Kim
wiley +1 more source

