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Strategy for the prediction, control and optimizing of the functional properties of food proteins; using statistical and chemometric tools
(Elsevier, 2018)
Proteins have functional properties that govern their behavior in foods during processing, storage and consumption. Proteins can have high nutritional quality and not have functional properties suitable for incorporation ...
Thermal study and composition of edible oils combined by TG/DTG analysis through predictive statistical model
(Springer Netherlands, 2020)
Predicting Known Sentences: Neural Basis of Proverb Reading Using Non-parametric Statistical Testing and Mixed-Effects Models
(Frontiers Research Foundation, 2019-02)
Predictions of future events play an important role in daily activities, such as visual search, listening, or reading. They allow us to plan future actions and to anticipate their outcomes. Reading, a natural, commonly ...
Otimização e controle integrado de variáveis-chave: unidade de destilação de peróxido de hidrogênio
(Universidade Tecnológica Federal do ParanáCuritibaBrasilEspecialização em Automação IndustrialUTFPR, 2017-10-24)
The steam consumption by hydrogen peroxide (H2O2) distillation columns is quite representative. Aiming the energetic annual cost reduction, it is proposed to simulate an integrated control system that seeks the unity ...
Center of pressure responses to unpredictable external perturbations indicate low accuracy in predicting fall risk in people with Parkinson’s disease
(2021-02-09)
Falls are associated with impairment in postural control in people with Parkinson's disease (PwPD). We aimed to predict the fall risk through models combining postural responses with clinical and cognitive measures. Also, ...
Center of pressure responses to unpredictable external perturbations indicate low accuracy in predicting fall risk in people with Parkinson’s disease
(2021-04-01)
Falls are associated with impairment in postural control in people with Parkinson's disease (PwPD). We aimed to predict the fall risk through models combining postural responses with clinical and cognitive measures. Also, ...
A machine learning technique for predicting the productivity of practitioners from individually developed software projects
(2014)
Context: Productivity management of software developers is a challenge in Information and Communication Technology. Predictions of productivity can be useful to determine corrective actions and to assist managers in ...