This study aims to examine family and school factors as predictors of delinquency among adolescents in Malaysia. A total of 101 juvenile offenders, 86 at‐risk students, and 92 low‐risk students were involved in this study. Multinomial logistic regression was used to predict the likelihood of an adolescent being in a group of juvenile of‐ fenders or of being an at‐risk or low‐risk student, based on four predictor variables: family structure, family relationships, school relationships, and commitment to learn‐ ing. The results show that family relations, school relations, and commitment to learning have different predictive effects on the likelihood of different levels of de‐ linquent behavior. However, family structure is not found to be a significant predictor in the logistic regression in this study. The findings of the study suggest that keeping young people in school can serve as a strong protective factor that serves to prevent at‐risk students from moving along the.....

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This study aims to determine the moderating role of emotional intelligence on the correlation between job performance and leadership styles. This study was carried out in three Malaysian universities, University Kebangsaan Malaysia, University Malaya, and Multimedia University, which include 196 academic leaders as respondents. To examine the direction of the correlation between transformational leadership style and job performance, the researcher employed descriptive statistic. Results revealed the positive correlation between transformational leadership style and job performance (r = 0.64, p ..

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The purpose of this study is to develop and validate the Bar Model Fraction Kit. To enhance the validity of this instrument, four experts had reviewed the instrument. The Cohen kappa value is 0.80. This indicates a “Good” extent of agreement. There were 15 students involved in the pilot test. The students used the Bar Model Fraction Kit to answer the test items. From the analysis, it was found that the Cronbach alpha coefficient value is 0.765. This shows that the Bar Model Fraction Kit has acceptable reliability  ..

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The purpose of this study is to examine the use of e-Numeracy: Mobile Application of the Numeracy Understanding Model among primary school students. Through e-Numeration, it allows students to solve numerical problems in their respective smart devices and find out the solution for each question. This learning method supports the concept of 21st century learning and facilitates self-learning as well as fun learning. This e-Numeration can be accessed via a tablet or any digital device by using the bar code provided. The app is easy and mobile and can be accessed anywhere. Six Year Four students were selected for this study. They were chosen based on their monthly Mathematics test results. There were two students per level; good, average and weak. For data collection, this study applies qualitative design using interview methods. The result indicated that only four respondents were able to solve all the learning activities at the application level that involved concepts and facts of mathe.....

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The purpose of this study is to identify language influence on students' performance. This study involves 55 undergraduate student who are taking the Economic Principles course at the Sultan Idris Education University. The specific objectives of the study are; to identify the choice of language for the examination, to determine students' exam performance in both languages, and lastly to measure mean score difference by language and by gender. The data are analyzed by using descriptive statistics, paired-sample-test, and one way ANOVA. Comparisons between the mean scores show students perform better in the exam conducted in Malay language compared to exams in English. The result of the paired-sample-test provides indication that there is a significant difference between the two mean scores. The one-way ANOVA test has recorded significant results in the exam conducted in English only. The findings provide two main implications. Firstly, there is a significant difference in students’ pe.....

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In the past, Kinta Valley was very famous in the Malay Peninsula for being extremely rich in tin ore. It is no longer a producer of that mineral, but now it is known for its own attractiveness, especially among local and foreign tourists. The objective of this article is to identify the level of knowledge of local tourists on the archaeotourism sector in Kinta Valley, Perak. This study involved 375 local tourists, selected through simple random sampling. A questionnaire instrument was used to obtain feedback, which included respondents' background, tourist travel analysis, and tourists’ level of knowledge of the development of archaeotourism in Kinta Valley. The results of the study showed that local tourists often visit Kinta Valley during public holidays, with the highest visiting frequency being 2 to 3 times. Local tourists’ knowledge of historic buildings was at a moderate level (M = 2.62, SP = .552); general knowledge on the Kinta Valley was at a low level (M = 2.06, SP = .661.....

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Principally, this study gives an overview about the Neuronal oscillations appear throughout the nervous system in structures as well as, the range of frequencies of clinical and physiological interests for motor imagery EEG signal. In addition, a brief description about MI paradigm which is also known as movement imagery, which is a mental process through which a person imagines a physical action, such as jumping, or moving hands. In particular, event-related desynchronization (ERD) and synchronization (ERS). Finally, a set of studies have been listed towards highlights the advantages of using BCI Competition dataset which is a public dataset that have been widely used in the analysis of the EEG motor imagery signal methods and technique  ..

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Breast cancer continues to be a significant public health problem in the world. Early detection is the key for improving breast cancer prognosis. Mammography has been one of the most reliable methods for early detection of breast carcinomas. However, it is difficult for radiologists to provide both accurate and uniform evaluation for the enormous mammograms generated in widespread screening. Breast cancer computer aided diagnosis (CAD) systems can provide such help and they are important and necessary for breast cancer control. Micro calcifications and masses are the two most important indicators of malignancy, and their automated detection is very valuable for early breast cancer diagnosis. Since masses are often indistinguishable from the surrounding parenchymal, automated mass detection and classification is even more challenging. This research presents algorithms for building a classification system or CAD, especially to obtain the different characteristics of mass and micro calcif.....

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