Changes across Age Groups in Self-Choice Elaboration and Incidental Memory

2003 ◽  
Vol 96 (2) ◽  
pp. 517-527 ◽  
Author(s):  
Hiroshi Toyota ◽  
Tomoko Tatsumi
Keyword(s):  
Age Groups ◽  
Sixth Graders ◽  
Second Graders ◽  
Cued Recall ◽  
The Self ◽  
Age Difference ◽  
Different Types ◽  
Elaboration Condition ◽  
Incidental Memory ◽  
Better Than

This study investigated differences in the self-choice elaboration and an experimenter-provided elaboration on incidental memory of 7- to 12-yr.-olds. In a self-choice elaboration condition 34 second and 25 sixth graders were asked to choose one of the two sentence frames into which each target could fit more congruously, whereas in an experimenter-provided elaboration they were asked to judge the congruity of each target to each frame. In free recall, sixth graders recalled targets in bizarre sentence frames better than second graders for self-choice elaboration condition. An age difference was not found for the experimenter-provided elaboration. In cued recall self-choice elaboration led to better performance of sixth graders for recalling targets than an experimenter-provided elaboration in both bizarre and common sentence frames. However, the different types of elaboration did not alter the recall of second graders. These results were interpreted as showing that the effectiveness of a self-choice elaboration depends on the subjects' age and the type of sentence.

Effects of Types of Elaboration on Children's Memories of a Story: Interaction with Academic Performance

2004 ◽  
Vol 94 (1) ◽  
pp. 291-304
Author(s):  
Hiroshi Toyota
Keyword(s):  
Academic Performance ◽  
Free Recall ◽  
Recall Performance ◽  
Second Graders ◽  
Cued Recall ◽  
The Self ◽  
The Other ◽  
Choice Condition ◽  
Incidental Memory ◽  
Academic Scores

Two experiments compared the effectiveness of three types of elaboration on incidental and intentional memory for a story: self-generated, self-choice, and experimenter-provided elaboration. In Exp. 1, using the incidental memory paradigm, second graders listened to a fantastic story and then, in the self-generated condition, answered a “why” question about a particular topic in the story. In the self-choice condition, they chose one of the alternative answers to the question and in the experimenter-provided condition, judged the appropriateness of each of two provided answers. This was followed by free-recall and cued-recall tests. Subjects were categorized into two groups, good and poor academic achievers in terms of academic scores in four subject matter areas. For good academic achievers, self-choice elaboration led to a better cued recall than the other two elaboration types. The cued-recall performance of poor achievers was not different with the three conditions. In Exp. 2, using the intentional memory paradigm, the subjects intended to learn a different story and then performed the same procedure as Exp. 1. For poor achievers, self-choice elaboration led to a worse free recall than the other elaboration types, but the free recall of good achievers was not significantly different for the three types of elaboration. The results were interpreted as showing that the effects of self-choice elaboration on incidental and intentional memory were correlated with subjects' academic performance.

Acquisition of Comprehension of the Verb Phrase Anaphora Construction

1978 ◽  
Vol 21 (1) ◽  
pp. 166-173 ◽  
Author(s):  
Mary J. Baumgardner ◽  
Elaine Z. Lasky
Keyword(s):  
First Graders ◽  
Second Graders ◽  
Verb Phrase ◽  
Different Types ◽  
Language For Learning ◽  
Better Than

The verb phrase (VP) anaphora is a commonly used construction in English in which part of a sentence, including the verb, is replaced or deleted. The present study investigated comprehension of four types of VP anaphora constructions. Significant differences demonstrated that second graders performed better than first graders, and first graders better than kindergarteners. Significant differences were also found among the different types of VP anaphoric constructions: VP deletion was easier than pro-form, pro-form was easier than prosententialization, and prosententialization was easier than gapping. Implications for evaluation of language, and specifically evaluation of comprehension of language for learning, are discussed.

Encoding Richness of Self-Generated Elaboration and Spacing Effects on Incidental Memory

2005 ◽  
Vol 101 (2) ◽  
pp. 621-627 ◽  
Author(s):  
Hiroshi Toyota ◽  
Yasuko Kikuchi
Keyword(s):  
Free Recall ◽  
Target Sentence ◽  
The Self ◽  
The Other ◽  
Spacing Effects ◽  
Elaboration Condition ◽  
Incidental Memory ◽  
Encoding Variability

The present study investigated encoding variability in self-generated elaboration on incidental memory as a function of the type of presentation which was either massed or spaced. The subjects generated different answers to a “why” question for the first and the second presentations of a target sentence in a self-generated elaboration condition. In an experimenter-provided elaboration condition they then rated the appropriateness of the different answers provided by the experimenter for the first and second presentations. This procedure was followed by two free recall tests, one of which was immediate and the other delayed. A self-generated elaboration effect was observed in both the spaced and the massed presentations. These results indicated that the self-generated elaboration effect was facilitated, even in the massed presentation because the different answers to the first and the second presentations led to a richer encoding of each target.

Beta Radiation Self Absorption of Precipitates Collected on Filter Paper

1962 ◽  
Vol 8 (3) ◽  
pp. 318-332 ◽  
Author(s):  
Raymond G Gottschalk ◽  
Hans Hoch ◽  
George H Stidworthy
Keyword(s):  
Filter Paper ◽  
Complete Recovery ◽  
The Self ◽  
Beta Radiation ◽  
Partial Penetration ◽  
Linear Relationships ◽  
Different Types ◽  
Filtration Apparatus ◽  
Better Than

Abstract Different yields of precipitate and different types of self absorption curves were obtained when radioactive sulfur was precipitated as BaSO4 in the presence and in the absence of salt. An equation was derived for expressing the self absorption of precipitates collected on filter paper which takes into account the yield of precipitate and the partial penetration of the precipitate into the filter paper. From the computed estimates of the parameters, it was concluded that the precipitate obtained in the absence of salt penetrates into the filter paper. This conclusion was supported by microscopic observations. The Denis method of oxidation followed by barium precipitation and filtration is well suited for the determination of total and isotopic sulfur because of complete recovery and lack of penetration of the precipitate into the filter paper. The count rates of radiosulfur treated by this method fit the usual equation reflecting an exponential absorption of beta radiation better than empirical linear relationships. A filtration apparatus is described which permits the determination of the radioactivity of a precipitate without removing the filter paper from its support.

Simulating Self-Regeneration and Self-Replication Processes Using Movable Cellular Automata with a Mutual Equilibrium Neighborhood

2020 ◽  
Vol 29 (4) ◽  
pp. 741-757
Author(s):  
Kateryna Hazdiuk ◽  
◽  
Volodymyr Zhikharevich ◽  
Serhiy Ostapov ◽  
◽  
...  
Keyword(s):  
Cellular Automata ◽  
Cellular Automaton ◽  
Three Dimensional ◽  
Computer Models ◽  
The Self ◽  
Model Construction ◽  
Natural Phenomena ◽  
Different Types ◽  
Movable Cellular Automata ◽  
Self Replication

This paper deals with the issue of model construction of the self-regeneration and self-replication processes using movable cellular automata (MCAs). The rules of cellular automaton (CA) interactions are found according to the concept of equilibrium neighborhood. The method is implemented by establishing these rules between different types of cellular automata (CAs). Several models for two- and three-dimensional cases are described, which depict both stable and unstable structures. As a result, computer models imitating such natural phenomena as self-replication and self-regeneration are obtained and graphically presented.

Design, Development and Comparison of Heuristic Driven Algorithms Based on the Crossed Domain Products’ Reviews for User’s Summarization

2020 ◽  
Vol 13 (5) ◽  
pp. 884-892
Author(s):  
Sartaj Ahmad ◽  
Ashutosh Gupta ◽  
Neeraj Kumar Gupta
Keyword(s):  
Decision Making ◽  
Online Shopping ◽  
Recent Time ◽  
Design Development ◽  
Different Types ◽  
Feature Based ◽  
Use Of Internet ◽  
Day By Day ◽  
Better Than

Background: In recent time, people love online shopping but before any shopping feedbacks or reviews always required. These feedbacks help customers in decision making for buying any product or availing any service. In the country like India this trend of online shopping is increasing very rapidly because awareness and the use of internet which is increasing day by day. As result numbers of customers and their feedbacks are also increasing. It is creating a problem that how to read all reviews manually. So there should be some computerized mechanism that provides customers a summary without spending time in reading feedbacks. Besides big number of reviews another problem is that reviews are not structured. Objective: In this paper, we try to design, implement and compare two algorithms with manual approach for the crossed domain Product’s reviews. Methods: Lexicon based model is used and different types of reviews are tested and analyzed to check the performance of these algorithms. Results: Algorithm based on opinions and feature based opinions are designed, implemented, applied and compared with the manual results and it is found that algorithm # 2 is performing better than algorithm # 1 and near to manual results. Conclusion: Algorithm # 2 is found better on the different product’s reviews and still to be applied on other product’s reviews to enhance its scope. Finally, it will be helpful to automate existing manual process.

scholarly journals Fighting Together against the Pandemic: Learning Multiple Models on Tomography Images for COVID-19 Diagnosis

AI ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 261-273
Author(s):  
Mario Manzo ◽  
Simone Pellino
Keyword(s):  
Network Architecture ◽  
State Of The Art ◽  
Ensemble Classification ◽  
Effective Vaccine ◽  
Rt Pcr ◽  
Neural Network Architecture ◽  
Experimental Phase ◽  
Different Types ◽  
Polymerase Chain ◽  
Better Than

COVID-19 has been a great challenge for humanity since the year 2020. The whole world has made a huge effort to find an effective vaccine in order to save those not yet infected. The alternative solution is early diagnosis, carried out through real-time polymerase chain reaction (RT-PCR) tests or thorax Computer Tomography (CT) scan images. Deep learning algorithms, specifically convolutional neural networks, represent a methodology for image analysis. They optimize the classification design task, which is essential for an automatic approach with different types of images, including medical. In this paper, we adopt a pretrained deep convolutional neural network architecture in order to diagnose COVID-19 disease from CT images. Our idea is inspired by what the whole of humanity is achieving, as the set of multiple contributions is better than any single one for the fight against the pandemic. First, we adapt, and subsequently retrain for our assumption, some neural architectures that have been adopted in other application domains. Secondly, we combine the knowledge extracted from images by the neural architectures in an ensemble classification context. Our experimental phase is performed on a CT image dataset, and the results obtained show the effectiveness of the proposed approach with respect to the state-of-the-art competitors.

scholarly journals Deep Learning Methods for Classification of Certain Abnormalities in Echocardiography

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 495
Author(s):  
Imayanmosha Wahlang ◽  
Arnab Kumar Maji ◽  
Goutam Saha ◽  
Prasun Chakrabarti ◽  
Michal Jasinski ◽  
...  
Keyword(s):  
Deep Learning ◽  
Short Term Memory ◽  
Support Vector ◽  
Variational Autoencoder ◽  
Different Types ◽  
Static Images ◽  
Long Short Term Memory ◽  
2D And 3D ◽  
Better Than

This article experiments with deep learning methodologies in echocardiogram (echo), a promising and vigorously researched technique in the preponderance field. This paper involves two different kinds of classification in the echo. Firstly, classification into normal (absence of abnormalities) or abnormal (presence of abnormalities) has been done, using 2D echo images, 3D Doppler images, and videographic images. Secondly, based on different types of regurgitation, namely, Mitral Regurgitation (MR), Aortic Regurgitation (AR), Tricuspid Regurgitation (TR), and a combination of the three types of regurgitation are classified using videographic echo images. Two deep-learning methodologies are used for these purposes, a Recurrent Neural Network (RNN) based methodology (Long Short Term Memory (LSTM)) and an Autoencoder based methodology (Variational AutoEncoder (VAE)). The use of videographic images distinguished this work from the existing work using SVM (Support Vector Machine) and also application of deep-learning methodologies is the first of many in this particular field. It was found that deep-learning methodologies perform better than SVM methodology in normal or abnormal classification. Overall, VAE performs better in 2D and 3D Doppler images (static images) while LSTM performs better in the case of videographic images.

scholarly journals Are the Acute Effects of THC Different in Aging Adults?

2021 ◽  
Vol 11 (5) ◽  
pp. 590
Author(s):  
Raeghan L. Mueller ◽  
Jarrod M. Ellingson ◽  
L. Cinnamon Bidwell ◽  
Angela D. Bryan ◽  
Kent E. Hutchison
Keyword(s):  
Older Adults ◽  
Young Adults ◽  
Age Groups ◽  
Young Group ◽  
Self Administration ◽  
Behavioral Measures ◽  
Younger Adults ◽  
Different Types ◽  
Before And After ◽  
Aging Adults

In recent years of expanding legalization, older adults have reported the largest increase in cannabis use of any age group. While its use has been studied extensively in young adults, little is known about the effects of THC in older adults and whether the risks of cannabis might be different, particularly concerning intoxication and cognition. The current study investigated whether age is associated with the deleterious effects of THC on cognitive performance and other behavioral measures before and after ad libitum self-administration of three different types of cannabis flower (THC dominant, THC + CBD, and CBD dominant). Age groups consisted of young adults (ages 21–25) and older adults (ages 55–70). Controlling for pre-use scores on all measures, the THC dominant chemovar produced a greater deleterious effect in younger adults compared with older adults in tests of learning and processing speed, whereas there were no differences between old and young in the effects of the other chemovars. In addition, the young group reported greater cannabis craving than the older group after using the THC chemovar. Consistent with some reports in the preclinical literature, the findings suggest that older adults may be less sensitive to the effects of THC on cognitive and affective measures.

EXPRESS: Serum Carbohydrate Antigen72-4 levels decrease with age in females but not males in Beijing, China

2021 ◽  
pp. 000456322110269
Author(s):  
Tongmei Duan ◽  
Xun Chen ◽  
Jing Wu ◽  
Ronghai Li ◽  
Huijuan Guo ◽  
...  
Keyword(s):  
Age Groups ◽  
Reference Interval ◽  
Carbohydrate Antigen ◽  
Female Group ◽  
Healthy Population ◽  
Age Difference ◽  
Significant Difference ◽  
The Difference ◽  
And Gender ◽  
Beijing China

Objective: Carbohydrate antigen 72-4 (CA72-4) is widely used in the diagnosis and monitoring of many cancers. However, there are few studies on the differences of CA72-4 levels in terms of age and gender. Methods: 10957 healthy subjects were divided into two groups according to gender and three age groups. The serum CA72-4 were detected. Statistical analysis was performed by SPSS. Results: The CA72-4 level in female group was significantly higher than that in male group. The level of CA72-4 gradually decreased with age. Compared with the age >60 group, the CA72-4 levels were increased in the age 46-60 group and 16-45 group (P >0.05, respectively). To better observe the age difference, the age 16-45 and 46–60 group were combined into the age 16-60 group. In comparison to the age >60 group, the CA72-4 level of age 16-60 group was significantly increased (P =0.000). In the age >60 group, there was no difference between genders. Nevertheless, the difference between the sexes in the age 16-60 group was significant (P =0.023). Conclusions: The reference interval of CA72-4 for local healthy population was established. CA72-4 levels gradually decreased with the increase of age, and CA72-4 level in females aged 16-60 years (0-18.0 U/mL) was higher than in males (0-14.5 U/mL), however there was no gender difference in the age group above 60 years old (0-14.5 U/mL). Moreover, male CA72-4 was no significant difference among all age groups, while the potential mechanism of female changes with age needed further study.

Sign in / Sign up

Export Citation Format

Share Document