This study determined non-nutritive sweetener (NNS; artificial sweetener) depth of knowledge among university health and science students. An online survey was delivered to 1248 science students and completed by 493 respondents (19.0 ± 2.2 years old), evaluating ability to provide an NNS description/definition, examples of NNS from memory, and evaluate NNS word familiarity with a click-drag-box to identify six NNS by chemical name (CN) and six NNS by trade name (TN), relative to six decoy NNS, six caloric sweeteners, and six food items (mean ± standard deviation). NNS definitions contained 1.1 ± 1.1 of four previously defined elements suggestive of knowledge depth, with highest scores among self-described non-NNS users and food ingredient label users. Knowledge depth was not correlated with gender, age, American College Test score, or history of weight loss attempts. Without prompting, respondents could name 0.9 ± 1.1 NNS from memory, with highest scores among self-described non-NNS users (1.4 ± 0.8) and food ingredient label users (1.4 ± 0.8). NNS example memory was not correlated with gender, age, ACT score, or history of weight loss attempts. With the click-drag-box exercise, NNS were correctly identified 4.9 ± 1.0 times by TN and significantly less by CN (3.9 ± 1.9 times). Decoy NNS were incorrectly identified as being a real NNS 4.7 ± 1.3 times, while caloric sweeteners and food items were incorrectly identified as NNS 1.7 ± 1.7 times and 1.0 ± 1.5 times, (TN and Decoy NNS > CN > caloric sweetener and food item). NNS knowledge among university students may be inadequate for understanding what NNS are, if they consume NNS, or whether NNS are important for dietary health.
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http://dx.doi.org/10.3390/nu11092201 | DOI Listing |
West Afr J Med
September 2024
Medical Microbiology & Parasitology Department, University of Ilorin, Ilorin, Nigeria. Email:
Background: Neonatal sepsis (NNS) is a known cause of morbidity and mortality especially in developing countries. The global resistance scourge may worsen the management outcomes of NNS. This study aims to determine the current profile of bacteriological agents of NNS, their resistance status and associated mortality in our setting.
View Article and Find Full Text PDFMicromachines (Basel)
December 2024
Liaoning Key Laboratory of Marine Sensing and Intelligent Detection, Dalian Maritime University, Dalian 116026, China.
Diffractive deep neural networks (DNNs) typically adopt a densely cascaded arrangement of diffractive masks, leading to multiple reflections of diffracted light between adjacent masks, thereby affecting the network's inference capability. It is challenging to fully simulate this multiple-reflection phenomenon. To eliminate this phenomenon, we designed tilted-mode all-optical diffractive deep neural networks (T-DNNs) and proposed a theoretical model for diffraction propagation in the tilted mode.
View Article and Find Full Text PDFFront Nutr
January 2025
Laboratory of Biochemistry, Biotechnology, Food Technology and Nutrition (LABIOTAN), Department of Biochemistry-Microbiology, Joseph KI-ZERBO University, Ouagadougou, Burkina Faso.
Introduction: Burkina Faso is facing a serious public health problem of chronic malnutrition and mortality in children under the age of 5. To tackle this situation, a number of child nutrition interventions have been implemented. This study aims to assess the impact of these interventions on the nutritional status of children aged 0-5 years between 2018 and 2022.
View Article and Find Full Text PDFISA Trans
January 2025
College of Mechanical and Vehicle Engineering, Hunan University, Changsha, 410082, Hunan, China. Electronic address:
Approximation-free control effectively addresses uncertainty and disturbances without relying on approximation techniques such as fuzzy logic systems (FLS) and neural networks (NNs). However, singularity problems-where signals exceed preset boundaries under dynamic operating conditions-remain a challenge. This paper proposes an improved approximation-free control (I-AFC) method for the multi-agent system, which introduces a novel singularity compensator, providing a low-complexity design with exceptional adaptability while reducing the risk of singularity issues under changing working conditions (random initial values, system parameter variations, and changes in topology graph and followers' dynamics).
View Article and Find Full Text PDFJ Infect Dis
January 2025
Center for Cervical Cancer Elimination, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.
Background: Most countries in the world have launched human papillomavirus (HPV) vaccination programmes and declining prevalences of HPV are reported. We aimed to disentangle the influences of calendar time, birth cohort and age by analysing HPV prevalences in the population-based cervical screening programme using age-period-cohort modelling.
Methods: All 836,314 primary HPV-based cervical screening tests from women aged 23-64 between 2014-2023 in the capital region of Sweden were identified in the Swedish National Cervical Screening Registry.
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