Browsing by Author "Oyeleke, O"

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    MODELLING AND REALIZATION OF A COMPACT CPW TRANSMISSION LINE USING 3D MMICS TECHNOLOGY IN ADS MOMENTUM
    (published by IEEE Xplore, 2019-12-12) Bello, H; Oyeleke, O; Usman, A. D; Bello, T; Mohammad, I; Zakariyya, O. S
    The two dimensional monolithic microwave integrated circuits (2D MMIC) are mainly implemented in a planar fashion and use microstrip design based technology. At microwave frequency and above, they would require a large amount of passive circuitry therefore occupying a great deal of space (area). Furthermore the 2D MMIC is associated with some disadvantages ranging from the use of very thin substrate which makes it less reliable, to very delicate substrate due to the use of via-hole technology, coupling issue and high cost due to large area it occupies. To solve these problems a three-dimensional multilayer technique 3D MMIC was used. The design of the 3D MMIC is based on coplanar waveguide (CPW), in this design the signal is protected by the two grounds on both side, the circuit becomes more compact, cost-effective and with improved performance. This research work was aimed at the design, modelling and investigation of a GaAs based multilayer compact 3D MMIC transmission line. Different transmission lines were designed and modelled using Agilent’s Advanced Design System (ADS) and their Sparameters were extracted using Electromagnetic (EM) simulator momentum
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    Prevalence and predictors of problematic smart phone use among university undergraduates
    (Community Health Society, Malaysia, 2023) Ogunmodede, James; Ogunmodede, Adebusola; Ahmed, A; Buhari, Oluwabunmi; Agede, Olalekan; Bojuwoye, Matthew; Bello, Hamza; Olatunji, A; Oyeleke, O; Adeoye, S; Babatunde, O; Omotoso, Ayotunde
    Background: A smartphone is a mobile phone that performs many of the functions of a computer, typically having a touchscreen interface, internet access, and an operating system capable of running downloaded applications. The objectives of this study were to determine the prevalence and predictors of problematic smartphone use (PSU) among university undergraduates. Materials and Methods: Cross-sectional design. PSU was studied among the students using the Smartphone Addiction Scale- Short version (SAS-SV). Results: Mean age was 21.3+2.59 years, mostly female (55.2%). The prevalence of smartphone ownership was 99.4% (3305). 13.9% of students had PSU. Factors associated with PSU were female gender (p=0.001), owning more than one smartphone (p=0.001), time spent on making phone calls (<0.001), surfing social media (<0.001), engaging in overnight phone call/social media chat (p=0.001), use of Twitter (p=0.002), Instagram (p=0.001), Snapchat (p=0.001), YouTube (p=0.001), online gaming (p=0.002), presence of probable psychiatric morbidity (p=0.001) and insomnia (p<0.001). The predictors of PSU were female gender (OR 1.305, p=0.038), engaging in overnight calls or social media chats (OR 2.243, p=0.001), using a smartphone in bed when unable to sleep at night (OR 2.832, p=0.003), probable psychiatric morbidity (OR 1.671, p<0.001), and insomnia (OR 1.298, p=0.043). Conclusion: Compared with other studies the prevalence of PSU among our participants is relatively low. However, PSU is a potentially disruptive behavioural addiction in undergraduates. Knowing predictors of PSU offers an opportunity for preventive counselling early in the course of study of all undergraduates.