8,138 research outputs found

    The Moderating Role of Individual Differences on the Relationship between Facebook Intensity and University Student Academic Performance

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    There has been an evidence of poor academic performance among universities students and among the attributing factors include Facebook intensity. Although, the influence of Facebook intensity on students’ academic performance has been inconsistent and inclusion of a moderating variable was suggested by previous studies. Therefore, this study was carried out to examine the moderating role of individual differences on the relationship between Facebook intensity and students’ academic performance. This study utilized quantitative survey method to gather data from 455 universities’ students from Central region of Libya selected through a systematic random sampling strategy. The statistical result shows that there is a moderate level of Facebook intensity, individual differences and students’ academic performance. The findings shows that Facebook intensity are significantly related to students’ academic performance and individual differences significantly moderates the relationship between Facebook intensity and academic performance. Therefore, it was concluded that for university system to enhance student academic performance, the role of facebook intensity and individual differences among student is very paramount. Keywords: Facebook intensity, individual differences, academic performance, moderating rol

    Validating Measures for Community Factors, Facebook Intensity, Individual Differences, Social Capital and Academic Performance among University Students

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    This study was carried out to validate the measures for community factors, face book intensity, individual differences, social capital and academic performance of university students. A factor analysis was carried out with reliability test to determine whether the measurements had construct validity and reliability. In this regard, the instrument were administered to 100 undergraduate students in Sirte University. An exploratory factor analysis was conducted for all items measuring the constructs which include Community factor (interacting with peers, interacting with lecturer and engaging with students), face book intensity (emotional connection, face book friends, time use on facebook); Individual differences; academic performance and social capital. The principal component analysis (PCA) was used to perform exploratory Factor Analysis (EFA) to find uncorrelated linear combinations of observed variables. The result of the analysis confirmed that Community factor has three dimension: interacting with peers, interacting with lecturer and engaging with students; face book intensity also has three dimension; emotional connection, face book friends, time use on face book. The loadings of all the retained items are above the threshold value and the Cronbach alpha of all the constructs are also above .8 which shows that the instrument is valid and reliable and thus, can be adopted by future researcher. Keywords: Community factors, Facebook intensity, Social capital, Academic performanc

    Multi-modal Machine Learning for Vehicle Rating Predictions Using Image, Text, and Parametric Data

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    Accurate vehicle rating prediction can facilitate designing and configuring good vehicles. This prediction allows vehicle designers and manufacturers to optimize and improve their designs in a timely manner, enhance their product performance, and effectively attract consumers. However, most of the existing data-driven methods rely on data from a single mode, e.g., text, image, or parametric data, which results in a limited and incomplete exploration of the available information. These methods lack comprehensive analyses and exploration of data from multiple modes, which probably leads to inaccurate conclusions and hinders progress in this field. To overcome this limitation, we propose a multi-modal learning model for more comprehensive and accurate vehicle rating predictions. Specifically, the model simultaneously learns features from the parametric specifications, text descriptions, and images of vehicles to predict five vehicle rating scores, including the total score, critics score, performance score, safety score, and interior score. We compare the multi-modal learning model to the corresponding unimodal models and find that the multi-modal model's explanatory power is 4% - 12% higher than that of the unimodal models. On this basis, we conduct sensitivity analyses using SHAP to interpret our model and provide design and optimization directions to designers and manufacturers. Our study underscores the importance of the data-driven multi-modal learning approach for vehicle design, evaluation, and optimization. We have made the code publicly available at http://decode.mit.edu/projects/vehicleratings/.Comment: The paper submitted to IDETC/CIE2023, the International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, has been accepte

    Long-Term Follow-up for Immature Teeth Treated with Regenerative Endodontic Procedures That Underwent Orthodontic Treatment

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    Although regenerative endodontic procedures (REPs) have become one of the widely accepted treatment modalities for necrotic immature teeth with apical periodontitis, little is known about the long-term outcomes and the effect of orthodontic tooth movement on this procedure. This report presents a case that underwent two REPs and orthodontic treatment over a period of seven years. A 9-year-old male was referred for evaluation of traumatized maxillary central incisors. Based on clinical and radiographic examinations, a diagnosis of pulp necrosis with acute apical abscess was established. REP was performed for both teeth, and the patient was brought in for follow-up annually. Orthodontic treatment was performed during the followup period. Annual follow-up visits demonstrated complete resolution of signs and symptoms of disease with the thickening of the roots. At the six-year follow-up visit, the patient presented with a sinus tract and periapical radiolucency. A second REP was performed for both teeth. The one-year recall visit after the second REP revealed complete resolution of clinical symptoms and radiographic signs of healing of apical pathology with further development of the roots. In conclusion, the effect of orthodontic treatment on teeth undergoing REP should be investigated and yearly follow-up visits should be recommended for patients undergoing REP as this case showed signs of deterioration six years after the treatment. © 2021 Kare Publishing. All rights reserved

    The relationship between personal factors, facebook intensity and academic performance of youth students in Libya

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    Today, social network is very important to many people particularly for the youths in their everyday lives, integrating their online and offline experience and becoming one of the primary means of connecting and socially interacting worldwide, whether among individuals, students, business people and even governments.The purpose of this study is to propose a conceptual framework on the relationship between social network usage especially Facebook with academic performance

    Financial Development, Tourism and Economic Growth Nexus: An Empirical Evidence from Pakistan

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    This study explores the connection between tourism and economic growth keeping in view the importance of financial development in Pakistan. The outcomes of the study revealed that tourism and economic growth are co-integrated. Moreover, the results highlighted that tourism upsurges economic growth both in the short and long term in Pakistan. Similarly, the financial liberalization by and large has also the same impact on economic growth like tourism. Nonetheless, the coefficient of financial liberalization is having correct sign, but not that much overwhelming effect in the short run

    Changes in lower limb muscle synchronisation during walking on high-heeled shoes

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    © 2018 Institution of Engineering and Technology.All right reserved. The goal of this research was to investigate the effect of wearing high-heeled shoes (HHS) on lower limb muscle synchronisation during walking, using beta band (15–30 Hz) coherence analysis. Fifteen females with no previous neuromuscular disorders volunteered in this study. Surface electromyography in frequency domain was studied from rectus femoris (RF), vastus lateralis (VL), vastus medialis (VM) and semitendinosus (ST) muscles during walking by subjects wearing HHS of three different heel heights (low – 4 cm, medium – 6 cm and high – 10 cm). Average coherence values were calculated for RF-VL, RF-VM and RF-ST muscles in beta band to analyse muscle pair synchronisation. In this study, significant increase in beta band coherence was found in all three muscle pairs during walking on HHS of different heel heights (p<0.05). Increased beta band coherence obtained from this study suggested that walking on HHS demands higher muscle pair synchronisation, to maintain stability around the knee joint
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