Publications by authors named "A Alami"
Article Synopsis
- - The study investigates the ecological and economic significance of two subspecies of pistachio trees in Morocco's Middle Atlas region, focusing on their adaptations across three bioclimatic zones.
- - Researchers performed extensive measurements and analyzes, including dendrometric data and SEM for leaf morphology, revealing distinct traits like canopy size and trunk count that differentiate the species.
- - Findings indicate a significant variation between the species, with implications for conservation efforts, suggesting they could be used in reforestation initiatives to help restore weakened ecosystems.
Arrhythmia detection in inter-patient ECG signals using entropy rate features and RR intervals with CNN architecture.
Comput Methods Biomech Biomed Engin
July 2024
Article Synopsis
- The study addresses the challenges of classifying ECG data for arrhythmia detection using deep learning techniques, particularly focusing on inter-patient variability.
- An innovative 1D convolutional neural network (CNN) is developed that captures both the shape of the ECG waveforms and temporal features through RR interval analysis, enhancing feature extraction.
- The model achieves high accuracy rates of over 99% in intra-patient classification and around 98% in inter-patient scenarios when validated against well-known datasets, demonstrating its effectiveness compared to existing methods.
Background: To identify determinants influencing Canadian parents' decision not to vaccinate their children aged 6 months to 17 years against seasonal influenza.
Methods: Data from the 2022 Childhood COVID-19 Immunization Coverage Survey, a national survey of approximately 10,500 Canadian parents/guardians and their children, was analyzed. The survey examined influenza vaccine coverage, parental perspectives on vaccines, reasons for hesitancy, and factors influencing immunization.
The Non-tuberculous mycobacterial (NTM) isolates should be distinguished from tuberculosis and identified at the species level for choosing an appropriate treatment plan. In this study, two molecular methods were used to differentiate NTM species, including a new designed High Resolution Melting (HRM) and Multilocus Sequence Analysis (MLSA). Seventy-five mycobacterial isolates were evaluated by sequencing four genes ( MLSA) and a HRM assay specifically targeting atpE was designed to rapidly and accurately identify and differentiate mycobacterium species.
View Article and Find Full Text PDFOrganisms have evolved strategies to store resources and overcome periods of low or no nutrient access, including transient shortages or longer non-feeding developmental transitions. Holometabolous insects like Drosophila represent an attractive model to study resource allocation during development because they alternate feeding and non-feeding periods. Amino acids are essential components for tissue growth and renewal, but the strategies used for their storage remain largely unexplored.
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