Results 11 to 20 of about 4,098,153 (330)
Salmonella, Food Safety and Food Handling Practices
Foods, 2021 Salmonellosis is the second most reported gastrointestinal disorder in the EU resulting from the consumption of Salmonella-contaminated foods. Symptoms include gastroenteritis, abdominal cramps, bloody diarrhoea, fever, myalgia, headache, nausea and ...
Olugbenga Ehuwa +2 more
semanticscholar +1 more source
Handling Missing Data in Clinical Research.
Journal of Clinical Epidemiology, 2022 Because missing data is present in almost every study, it is important to handle missing data properly. First of all, the missing data mechanism should be considered.
M. Heymans, J. Twisk
semanticscholar +1 more source
Alzheimer's & Dementia, 2021 Pre‐analytical sample handling might affect the results of Alzheimer's disease blood‐based biomarkers. We empirically tested variations of common blood collection and handling procedures.
I. Verberk +21 more
semanticscholar +1 more source
Challenges and Opportunities in Robotic Food Handling: A Review
Frontiers in Robotics and AI, 2022 Despite developments in robotics and automation technologies, several challenges need to be addressed to fulfill the high demand for automating various manufacturing processes in the food industry.
Zhongkui Wang, S. Hirai, S. Kawamura
semanticscholar +1 more source
Nucleic Acids Res., 2018 UNITE (https://unite.ut.ee/) is a web-based database and sequence management environment for the molecular identification of fungi. It targets the formal fungal barcode—the nuclear ribosomal internal transcribed spacer (ITS) region—and offers all ∼1 000 ...
R. H. Nilsson +12 more
semanticscholar +1 more source
BMC Medical Research Methodology, 2017 BackgroundMissing data may seriously compromise inferences from randomised clinical trials, especially if missing data are not handled appropriately. The potential bias due to missing data depends on the mechanism causing the data to be missing, and the ...
J. Jakobsen +3 more
semanticscholar +1 more source
Handling Incomplete Heterogeneous Data using VAEs [PDF]
Pattern Recognition, 2018 Variational autoencoders (VAEs), as well as other generative models, have been shown to be efficient and accurate for capturing the latent structure of vast amounts of complex high-dimensional data.
A. Nazábal +3 more
semanticscholar +1 more source
Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation [PDF]
Comput. Medical Imaging Graph., 2018 Simultaneous segmentation of multiple organs from different medical imaging modalities is a crucial task as it can be utilized for computer-aided diagnosis, computer-assisted surgery, and therapy planning.
Saeid Asgari Taghanaki +7 more
semanticscholar +1 more source
Handling missing values in trait data
Global Ecology and Biogeography, 2020 Aim Trait data are widely used in ecological and evolutionary phylogenetic comparative studies, but often values are not available for all species of interest. Researchers traditionally have excluded species without data from analyses, but estimation of
T. F. Johnson +3 more
semanticscholar +1 more source
Rebutting Existing Misconceptions About Multiple Imputation as a Method for Handling Missing Data
Journal of Personality Assessment, 2019 Missing data is a problem that occurs frequently in many scientific areas. The most sophisticated method for dealing with this problem is multiple imputation. Contrary to other methods, like listwise deletion, this method does not throw away information,
Joost R. van Ginkel +3 more
semanticscholar +1 more source