Results 51 to 60 of about 162,257 (303)
Pengaruh Komik Makanan Jajanan Sehat dan Bergizi untuk Meningkatkan Pengetahuan dan Sikap Anak Sekolah Dasar [PDF]
, 2009 Many School age children consume less nutritious snacks food; that is why it is necessary to communicate, inform, and educate the children as early as possible.
Sugihantono, A. (Anung) +2 more
core
Market‐Based Nutrition Regulation and Adult BMI Dynamics in Latin America
Agribusiness, EarlyView.ABSTRACT Market‐based nutrition policies, including interpretative labeling systems and taxes on sugar‐sweetened beverages (SSBs), have been widely adopted across Latin America to influence dietary choices and address rising obesity rates. While prior research documents change in food purchasing and product reformulation following these policies ...
Emiliano Lopez Barrera, Grace Melo
wiley +1 more source
Children Behaviour of Snacks Preference at SD N 23 in Palembang [PDF]
, 2013 Background : The habit of eating snacks is popular among Indonesian people, especially in school aged children. Snacks preference is behaviour that was influenced by many factors whether internally or externally.
Destriatania, S. (Suci) +2 more
core
Dietary patterns among Vietnamese and Hispanic immigrant elementary school children participating in an after school program [PDF]
, 2017 Immigrants in the U.S. may encounter challenges of acculturation, including dietary habits, as they adapt to new surroundings. We examined Vietnamese and Hispanic immigrant children's American food consumption patterns in a convenience sample of 63 ...
Jaret, Charles L. +3 more
core +1 more source
A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction
Advanced Intelligent Discovery, EarlyView.This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai +8 more
wiley +1 more source
School lunch and snacking patterns among high school students: Associations with school food environment and policies [PDF]
International Journal of Behavioral Nutrition and Physical Activity, 2005 Abstract Objectives This study examined associations between high school students' lunch patterns and vending machine purchases and the school food environment and policies. Methods A randomly selected sample of 1088 high school students from 20 schools completed surveys ...
Story Mary +4 more
openaire +3 more sources
The Challenge of Handling Structured Missingness in Integrated Data Sources
Advanced Intelligent Discovery, EarlyView.As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson +6 more
wiley +1 more source
Medical Technology and Public Health Journal, 2022 The consumption of snacks is often done between meals. About 20% of the daily intake of adolescents comes from snacks. Snacks contribute‘empty’ energy but provide an excess intake of substances that are not beneficial to the teenager’s body.
Ira Ira, Jane C J Chao
doaj +1 more source
Graham Snack Consumption in After‐School Snack Programs Based on Whole Wheat Flour Content
The FASEB Journal, 2008 The 2005 Dietary Guidelines for Americans recommend that children consume at least 3 servings of whole grain foods per day. Data from a pilot after‐school snack program indicated that graham crackers, containing 5g whole wheat per serving, were consumed in the range of 73–88%, similar to the refined grain counterpart.
Leila Sadeghi +4 more
openaire +1 more source
Haptic In‐Sensor Computing Device Based on CNT/PDMS Nanocomposite Physical Reservoir
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.Using a porous carbon nanotube‐polydimethylsiloxane nanocomposite, a sensor array integrated with a physical reservoir computing paradigm capable of in‐sensor computing is demonstrated. The device is able to classify between nine objects with an accuracy above 80%, opening the possibility for low‐power sensing/computing for future robotics.
Kouki Kimizuka +7 more
wiley +1 more source