Publications by authors named "R S Alami"

Solitary fibrous tumors (SFTs) are rare neoplasms that can occur in various locations, including the central nervous system (CNS). We present a case report of a 47-year-old male patient with an intracranial SFT who underwent subtotal resection followed by adjuvant radiotherapy. The patient initially presented with chronic left temporal headache and was diagnosed with an intra-axial double-component mass in the left temporoparietal lobe.

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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.
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At the intersection of insect control and sustainability goals, dielectric heating emerges as a promising solution. In agriculture, where insect pests can reduce agricultural yields and the nutritional quality of crops under field and storage conditions. Chemical pesticides are often used to manage pests but owing to their deleterious consequences on humans and the environment, chemical-free treatments have become the preferred option.

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Myxopapillary ependymoma, a rare variant of ependymoma, commonly occurs in the conus medullaris or filum terminale. The rarity of these tumors can make their diagnosis and treatment challenging. This case report presents an atypical occurrence of myxopapillary ependymoma within the sacrum in a 68-year-old patient presented with a 3-month history of persistent left-sided low back pain radiating to the legs and fecal dysfunction.

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Environmental conditions, including temperature, humidity, and light, can impact the quality of drugs. Microwave-based approaches offer a fast and cost-effective way to detect quality variations, providing an alternative to traditional techniques in the pharmaceutical and cosmetic industries. This article proposes the use of a microwave sensor for monitoring the quality of pharmaceutical drugs at distinct temperature levels.

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