Publications by authors named "R Zakaria"
Leptospirosis is an acute bacterial febrile disease affecting humans and animals in many tropical and subtropical countries. This work presents an optimization of surface-enhanced Raman spectroscopy (SERS) substrates to probe vibrational spectroscopic detail from deoxyribonucleic acid (DNA). The pathogenic gene of LipL32 was used as a biomarker.
View Article and Find Full Text PDFInfluence of PCBM Nanocrystals on the Donor-Acceptor Polymer Ultraviolet Phototransistors.
Nanomaterials (Basel)
October 2024
Article Synopsis
- - Organic phototransistors are being explored for their ability to track the effectiveness of photosensitive drugs in phototherapy, but struggle to detect UV light due to their narrow bandgap.
- - The incorporation of PCBM nanocrystals into donor-acceptor (D-A) polymer semiconductors enhances UV photodetection by creating a band mismatch at the interface and significantly modulating threshold voltage.
- - Devices with PCBM nanocrystals show a photoresponsivity of 0.16 A/W and a detection rate of 2.00 × 10 Jones, both significantly outperforming devices without the nanocrystals by 50% and 100%, respectively, indicating a promising way to boost UV detection in these phototrans
Background: This study aims to assess and compare the outcomes of traditional surgery and laser surgery for anal hemorrhoids in patients with inflammatory bowel disease.
Methods: This is a single-center prospective randomized comparative clinical trial performed at Zagazig University Hospitals from September 2023 to September 2024. The study comprised 48 patients who were admitted during this period and had inflammatory bowel disease along with hemorrhoids.
PelviNet: A Collaborative Multi-agent Convolutional Network for Enhanced Pelvic Image Registration.
J Imaging Inform Med
September 2024
PelviNet introduces a groundbreaking multi-agent convolutional network architecture tailored for enhancing pelvic image registration. This innovative framework leverages shared convolutional layers, enabling synchronized learning among agents and ensuring an exhaustive analysis of intricate 3D pelvic structures. The architecture combines max pooling, parametric ReLU activations, and agent-specific layers to optimize both individual and collective decision-making processes.
View Article and Find Full Text PDFBackground: The human reward system has been extensively studied using neuroimaging. This bibliometric analysis aimed to determine the global trend in diffusion magnetic resonance imaging (dMRI) and human reward research in terms of the number of documents, the most active countries and their collaborating countries, the top journals and institutions, the most prominent authors and most cited articles, and research hotspots.
Methods: The research datasets were acquired from the Scopus database.