Results 231 to 240 of about 120,927 (308)

A Machine Learning Approach to Predict Functional Performance From Measurable Protein Structural Characteristics: A Screening Tool for Protein Ingredient Quality

Proteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT The food industry is witnessing the emergence of specialized protein‐based functional ingredients for the use as gelling, thickening, and/or emulsifying agents in various food applications. Different sources of protein including species and cultivars, as well as variable processing conditions affect the protein's structural characteristics ...
Ronit Mandal, Sara Malvar, Ranveer Chandra, Baraem P. Ismail   +3 more
wiley   +1 more source

Evaluation of <i>Corcyra cephalonica</i> as an Alternative Host for <i>Meteorus pulchricornis</i>. [PDF]

Insects
Yan Y, Lin X, Shi R, Shi P, Ye X, Chen X, Shi A, Tang P.   +7 more
europepmc   +1 more source

Advancing Sclerotinia risk forecasting for winter rapeseed in Germany: integrating crop phenology and disease development into a decision support system

Pest Management Science, EarlyView.
Integrating crop phenology and sclerotia germination models into SkleroPro improved Sclerotinia risk prediction accuracy from 34% to 66%, optimizing fungicide timing and supporting sustainable winter rapeseed production. Abstract BACKGROUND Sclerotinia stem rot, caused by Sclerotinia sclerotiorum, threatens winter rapeseed (Brassica napus) production ...
Vera Krause, Nazanin Zamani‐Noor, Lena Müller, Hella Kehlenbeck, Anto Raja Dominic   +4 more
wiley   +1 more source

Exploiting predictive metabolomics of pearl millet phenotypic traits using untargeted profiling across a Brazilian germplasm panel. [PDF]

Metabolomics
Pinheiro Costa Pimentel M, Martins Abdão Dos Passos A, Prigent S, Cassan C, Dessaune Tardin F, Simões Larraz Ferreira M, Pétriacq P, Barros Santos MC.   +7 more
europepmc   +1 more source

Temporal Susceptibility of Grapevine Pruning Wounds to Botryosphaeriaceae Host-Jumping Pathogens in Central Chile. [PDF]

J Fungi (Basel)
Hernández Y, Núñez FB, Quesada Y, Lolas M, Elfar K, Eskalen A, Gainza-Cortés F, Gundel PE, Sanfuentes E, Díaz GA.   +9 more
europepmc   +1 more source

GLOBE: an explainable machine learning platform for preoperative prediction of thromboembolism and neurological deterioration in patients with glioma. [PDF]

Front Neurosci
Xiang F, Yang X, Xiang S, Fu M, Yang G.
europepmc   +1 more source

Non-linear relationships between inflammatory indices and erectile dysfunction in a group of young men living with HIV. [PDF]

Basic Clin Androl
Tiecco G, Riva M, Cesanelli F, Rossi L, Colangelo C, Reale SA, Gottardi F, Delbarba A, Cappelli C, Focà E, Castelli F, Quiros-Roldan E.   +11 more
europepmc   +1 more source

Constructing targeted minimum loss/maximum likelihood estimators: a simple illustration to build intuition. [PDF]

Am J Epidemiol
Ross RK, Montoya LM, Goin DE, Díaz I, Renson A.   +4 more
europepmc   +1 more source