A Statistical Approach for Identifying the Best Combination of Normalization and Imputation Methods for Label-Free Proteomics Expression Data.

Label-free proteomics expression data sets often exhibit data heterogeneity and missing values, necessitating the development of effective normalization and imputation methods. The selection of appropriate normalization and imputation methods is inherently data-specific, and choosing the optimal approach from the available options is critical for ensuring robust downstream analysis. This study aimed to identify the most suitable combination of these methods for quality control and accurate identification of differentially expressed proteins.

Potential dermal exposure and ergonomic assessment in greenhouse spraying.

Greenhouses are space-efficient structures used in the production of produce. However, occupational health issues like exposure to chemicals, and physiological and postural stresses are experienced by operators while performing farm activities due to the enclosed environment of the greenhouse. This study assesses chemical exposure and physiological and postural parameters of operators during spraying with two different types of sprayers (Battery-powered knapsack sprayer [Battery sprayer] and AC-powered stationary sprayer [Stationary sprayer]) with two different application techniques (continuous and alternate row).