Publications by authors named "Mohamed T Hassan"

Diverticular disease, once considered a rare geriatric gastrointestinal condition, has now become a prevalent disorder associated with increased morbidity and healthcare costs. The spectrum of complications from diverticular disease ranges from incidental findings to more serious issues such as bleeding and diverticulitis. Symptomatic diverticular disease represents a significant economic burden in the western world.

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SLC24A4, the gene encoding the K-dependent Na/Ca-exchanger, NCKX4, is widely expressed in the brain and involved in many neuronal functions. Here we use immunofluorescent staining and electron microscopy to map the expression of the NCKX4 protein across the mouse brain. Our data show that NCKX4 expression is higher in forebrain with particularly intense staining in specific brain regions, including olfactory bulb, ventral pallidum, globus pallidus, hippocampal mossy fibers, substantia nigra, inferior olive and choroid plexus.

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For a car that is propelled by an armature-controlled DC motor This study proposes an adjustable linear positioning control. In this paper, to optimize the parameters of the car's position controller the sine cosine optimization algorithm (SCA) is utilized, with support from the Balloon effect (BE), The BE is incorporated to enhance the responsiveness of the traditional sine cosine optimization algorithm when faced with external disturbances and variations in system parameters. In the proposed approach, the determined value of the open loop transfer function of the motor and the updated values of the controller gains serve as the basis for the modified sine cosine algorithm's objective function (OF).

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This work analyzes the stability and performance of an offshore solar-concentrated ocean thermal energy conversion system (SC-OTEC) tied to an onshore AC grid. The OTEC is a system where electricity is generated using small temperature differences between the warm surface and deep cold ocean water. Existing control methods for SC-OTEC systems lack coordination, hindering dynamic stability and effective damping for the synchronous generator (SG).

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Due to the unpredictability of the majority of green energy sources (GESs), particularly in microgrids (μGs), frequency deviations are unavoidable. These factors include solar irradiance, wind disturbances, and parametric uncertainty, all of which have a substantial impact on the system's frequency. An adaptive load frequency control (LFC) method for power systems is suggested in this paper to mitigate the aforementioned issues.

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The integration of renewable sources (RSs) and the widespread deployment of electric vehicles (EVs) has transitioned from a luxury to a necessity in modern power systems. This results from the sharp increase in electric power demand and public awareness of switching to green energy. However, in addition to load fluctuations and changes in system parameters, these RSs and EVs negatively impact the load frequency (LF).

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The operation of the system's frequency can be strongly impacted by load change, solar irradiation, wind disturbance, and system parametric uncertainty. In this paper, the application of an adaptive controller based on a hybrid Jaya-Balloon optimizer (JBO) for frequency oscillation mitigation in a single area smart μG system is studied. The proposed adaptive control approach is applied to control the flexible loads such as HPs and EVs by using the JBO which efficiently controls the system frequency.

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After the COVID-19 pandemic, there was an increasing demand for remote learning and an expansion in the substitution of traditional practical sessions with lab-based virtual tools. This study aimed to assess the effectiveness of virtual labs in practicing biochemical experiments and to examine the student's feedback regarding this tool. Virtual and traditional labs training were compared in teaching qualitative analysis of proteins and carbohydrates experiments for first-year medical students.

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K-dependent Na/Ca-exchangers (NCKX) are a relatively recently described five-member gene family of transporters which play a quantitatively significant role in neuronal Ca transport. In this review we highlight the important individual contributions these transporters make to cellular Ca homeostasis and neuronal function. Notably, different members of the family make distinct, non-redundant, contributions to critical behavioural pathways.

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