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Coffee and multiple sclerosis (MS)

Multiple Sclerosis (MS) is a long-term autoimmune disorder affecting the central nervous system, marked by inflammation, demyelination, and neurodegeneration. While the exact cause of MS remains unknown, recent research indicates that environmental factors, particularly diet, may influence the disease's risk and progression. As a result, the potential neuroprotective effects of coffee, one of the

Artificial Intelligence
Healthcare
Circuit Theory and Applications

ArFakeDetect: A Deep Learning Approach for Detecting Fabricated Arabic Tweets on COVID-19 Vaccines

Social media platforms have emerged as major sources of false information, particularly regarding health topics. like COVID-19 vaccines. This rampant dissemination of inaccurate content contributes significantly to vaccine hesitancy and undermines vaccination campaigns. This research addresses the pressing need for automated methods to distinguish between factual and fabricated Arabic tweets

Artificial Intelligence
Healthcare
Energy and Water
Circuit Theory and Applications
Software and Communications

Wastewater Treatment: Recycling, Management, and Valorization of Industrial Solid Wastes

Wastewater Treatment: Recycling, Management, and Valorization of Industrial Solid Wastes bridges the gap between the theory and applications of wastewater treatments, principles of diffusion, and the mechanism of biological and industrial treatment processes. It presents the practical applications that illustrate the treatment of several types of data, providing an overview of the characterization

Artificial Intelligence
Healthcare
Energy and Water
Circuit Theory and Applications
Software and Communications
Innovation, Entrepreneurship and Competitiveness

Multi-Band Radio Frequency Energy Predictor for Advanced Energy Harvesting Cellular Bands Systems

Radio Frequency (RF) energy harvesting has been employed to power wireless devices. Nevertheless, RF energy harvesting encounters restrictions regarding the quantity of power it can harvest depending on signal accessibility. As a result, accurately predicting energy levels becomes crucial for enhancing the performance of energy harvesting circuits. Most research efforts have concentrated on

Artificial Intelligence
Energy and Water
Circuit Theory and Applications
Software and Communications

Transcriptomic marker screening for evaluating the mortality rate of pediatric sepsis based on Henry gas solubility optimization

Sepsis is a potentially life-threatening medical condition that increases mortality in pediatric populations admitted in the intensive care unit (ICU). Due to the unpredictable nature of the disease course, it was challenging to find the informative genetic biomarkers at the earliest stages. Consequently, a considerable attention has been paid for the early prediction of pediatric sepsis based on

Artificial Intelligence
Healthcare
Circuit Theory and Applications

Enhancing Scene Simplification and Optimization for Retinal Prosthesis Platform

Retinal prostheses are designed to aid individuals with retinal degenerative conditions such as Retinitis Pigmentosa (RP) and Age-related Macular Degeneration (AMD). These prostheses seek to restore vision and improve the perceived scene by stimulating degenerated retinal cells using retinal stimulating electrodes. While these electrodes allow more efficient interaction with the surroundings, they

Artificial Intelligence
Circuit Theory and Applications
Mechanical Design

Modeling of dark current in semispherical quantum dot structures for infrared photodetection

Due to its tunable heterojunction bandgap and great sensitivity to normal incident illumination, the Quantum Dot Infrared Photodetectors (QDIPs) have received a lot of attention for the purpose of infrared sensing. It could be a very promising replacement for conventional infrared photodetectors made with established technology, including mercury cadmium telluride and quantum well infrared

Artificial Intelligence
Circuit Theory and Applications

Environmental feasibility of recycling construction and demolition waste

Construction, demolition, and renovation activities generate a significant amount of waste, posing serious environmental risks. The scarcity of recycling facilities makes it difficult to implement the new legislation, which calls for producing recycled aggregates. Moreover, the lack of studies on the environmental feasibility of recycling construction and demolition waste in regions with plentiful

Artificial Intelligence
Circuit Theory and Applications
Agriculture and Crops

An Efficient Source Printer Identification Model using Convolution Neural Network (SPI-CNN)

Document forgery detection is becoming increasingly important in the current era, as forgery techniques are available to even inexperienced users. Source printer identification is a method for identifying the source printer and classifying the questioned document into one of the printer classes. According to what we know, most earlier studies segmented documents into characters, words, and patches

Artificial Intelligence
Circuit Theory and Applications
Software and Communications
Agriculture and Crops

New antileishmanial quinoline linked isatin derivatives targeting DHFR-TS and PTR1: Design, synthesis, and molecular modeling studies

In a search for new drug candidates for one of the neglected tropical diseases, leishmaniasis, twenty quinoline-isatin hybrids were synthesized and tested for their in vitro antileishmanial activity against Leishmania major strain. All the synthesized compounds showed promising in vitro activity against the promastigote form in a low micromolar range (IC50 = 0.5084–5.9486 μM) superior to the

Artificial Intelligence
Healthcare
Circuit Theory and Applications
Mechanical Design