Results 261 to 270 of about 247,651 (343)

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

open access: yesProteins: 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   +3 more
wiley   +1 more source

GLMs in R for ecology [PDF]

open access: yes, 2019
Smith, C, Warren, M
openaire  

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

open access: yesPest 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   +4 more
wiley   +1 more source

Open- and closed-source LLMs in medical and engineering education. [PDF]

open access: yesFront Med (Lausanne)
Sun L   +9 more
europepmc   +1 more source

SYN‐A, a naturally derived synergist, restores pyrethroid efficacy against cabbage stem flea beetle but negatively impacts its parasitoid Microctonus brassicae

open access: yesPest Management Science, EarlyView.
SYN‐A, a naturally derived synergist, inhibited key metabolic pathways associated with pyrethroid insecticide resistance in cabbage stem flea beetle (CSFB) and its parasitoid Microctonus brassicae. SYN‐A restored pyrethroid efficacy against resistant CSFB allowing up to 80% reduction in application rates.
Patricia A. Ortega‐Ramos   +2 more
wiley   +1 more source

Colonisation potential of the bark beetle (Taphrorychus bicolor) on beech logs and logging residues: ecological context and implications for pest management in forests

open access: yesPest Management Science, EarlyView.
Beech residues left in shaded or semi‐shaded conditions pose a substantial risk of local Taphrorychus bicolor population outbreaks. The rapid removal or placement of residues in sun‐exposed locations can help mitigate this risk. Abstract BACKGROUND The bark beetle Taphrorychus bicolor has been traditionally classified as a secondary pest of European ...
Ivana Henzlová   +4 more
wiley   +1 more source

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