In recent years, the utilization of motor imagery (MI) signals derived from electroencephalography (EEG) has shown promising applications in controlling various devices such as wheelchairs, assistive technologies, and driverless vehicles. However, decoding EEG signals poses significant challenges due to their complexity, dynamic nature, and low signal-to-noise ratio (SNR). Traditional EEG pattern recognition algorithms typically involve two key steps: feature extraction and feature classification, both crucial for accurate operation.
View Article and Find Full Text PDFIn modern agriculture, nanotechnology was recognized as a potentially transformative innovation. Nanopolymers as coating matrix in nano-biofertilizer has a massive impact on agricultural productivity. The integration of nanotechnology with biofertilizers has led to the creation of nano-biofertilizer formulations that enhance nutrient delivery, improve plant growth, and increase resistance to environmental stress.
View Article and Find Full Text PDFCastleman's disease is a rare lymphoproliferative disease that usually presents as a solitary mass in the mediastinal or cervical region. Castleman's disease can be usually of two types: unicentric type (which involves only one site of lymph nodes) and multicentric type (which involves multiple sites of lymph nodes). We report the case of a 26-year-old female with multiple sclerotic bone lesions in unicentric Castleman's disease.
View Article and Find Full Text PDFPurpose: This article examines the concepts of workplace satisfaction and productivity using data. The data will be used to investigate the variables contributing to employee satisfaction to achieve optimum efficiency through various startup working environments.
Design/ Methodology/ Approach: Descriptive causal investigation.