scholarly journals Breakfast and performance in schoolchildren

1982 ◽  
Vol 48 (3) ◽  
pp. 483-496 ◽  
Author(s):  
N. H. Dickie ◽  
A. E. Bender

1. The results from two studies are reported of the effects on mental performance of omitting breakfast. The objective of the first study was to compare the performances of schoolchildren who habitually ate or did not eat breakfast. In the second study the effectsof omitting breakfast by those accustomed to eating the morning meal were investigated.2. Mental performance was assessed by two short-term memory tests (a simple cancellation test in which paired letters were marked on a page of random letters) and a memory-search test in which tines containing a group of specified fetters were marked, a series of numerical additions, and an attention-demanding test (in which specified statements had to be verified).3. Neither study revealed differences attributable to the omission or consumption of breakfast.

2022 ◽  
Vol 12 (2) ◽  
pp. 735
Author(s):  
Tola Pheng ◽  
Tserenpurev Chuluunsaikhan ◽  
Ga-Ae Ryu ◽  
Sung-Hoon Kim ◽  
Aziz Nasridinov ◽  
...  

In the manufacturing industry, the process capability index (Cpk) measures the level and capability required to improve the processes. However, the Cpk is not enough to represent the process capability and performance of the manufacturing processes. In other words, considering that the smart manufacturing environment can accommodate the big data collected from various facilities, we need to understand the state of the process by comprehensively considering diverse factors contained in the manufacturing. In this paper, a two-stage method is proposed to analyze the process quality performance (PQP) and predict future process quality. First, we propose the PQP as a new measure for representing process capability and performance, which is defined by a composite statistical process analysis of such factors as manufacturing cycle time analysis, process trajectory of abnormal detection, statistical process control analysis, and process capability control analysis. Second, PQP analysis results are used to predict and estimate the stability of the production process using a long short-term memory (LSTM) neural network, which is a deep learning algorithm-based method. The present work compares the LSTM prediction model with the random forest, autoregressive integrated moving average, and artificial neural network models to convincingly demonstrate the effectiveness of our proposed approach. Notably, the LSTM model achieved higher accuracy than the other models.


1973 ◽  
Vol 99 (1) ◽  
pp. 82-87 ◽  
Author(s):  
David S. Gorfein ◽  
David E. Jacobson

2016 ◽  
Vol 47 (1) ◽  
pp. 12-20 ◽  
Author(s):  
Jarosław Orzechowski ◽  
Edward Nęcka ◽  
Robert Balas

Abstract Short-term memory (STM) search, as investigated within the Sternberg paradigm, is usually described as exhaustive rather than self-terminated, although the debate concerning these issues is still hot. We report three experiments employing a modified Sternberg paradigm and show that whether STM search is exhaustive or self-terminated depends on task conditions. Specifically, STM search self-terminates as soon as a positive match is found, whereas exhaustive search occurs when the STM content does not contain a searched item. Additionally, we show that task conditions influence whether familiarity- or recollection-based strategies dominate STM search performance. Namely, when speeding up the tempo of stimuli presentation increases the task demands, people use familiarity-based retrieval more often, which results in faster but less accurate recognition judgments. We conclude that STM search processes flexibly adapt to current task conditions and finally propose two-phase model of STM search.


2016 ◽  
Vol 06 (01) ◽  
pp. 37-42
Author(s):  
E.S.F. Filho ◽  
T.V. de Oliveira Lima ◽  
D.L.R. Silva ◽  
Milton Vieira Costa ◽  
E.M.T. Filho

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