Plant Growth Hormones and Micro-Tuberization in Breaking the Seed Dormancy of (Boiss.) Fedts.

is a valuable medicinal plant with limited production but high market demand. It thrives predominantly in high-altitude regions. The main challenges hindering its widespread cultivation are seed dormancy and a lengthy seed-to-seed cycle, making its large-scale cultivation difficult.

Unraveling the Variability of Essential Oil Composition in Different Accessions of Collected from Different Temperate Micro-Climates.

The present investigation was performed to evaluate the variability of the essential oil composition present in the seed extract of Kala zeera ( Bioss.) obtained from different geographical zones of Northwestern-Himalayan using Gas Chromatography-Mass Spectrum (GC-MS). The results of the GC-MS analysis revealed significant differences in the essential oil content.

IoMT-Enabled Computer-Aided Diagnosis of Pulmonary Embolism from Computed Tomography Scans Using Deep Learning.

The Internet of Medical Things (IoMT) has revolutionized Ambient Assisted Living (AAL) by interconnecting smart medical devices. These devices generate a large amount of data without human intervention. Learning-based sophisticated models are required to extract meaningful information from this massive surge of data.

Profiles of Whole Blood Transfusion Recipients at a Teaching Hospital in Lahore, Pakistan.

Background Blood transfusion plays a vital role in medical practice. Evaluation of blood utilization in a blood bank is a crucial step in good transfusion practice. It is the inception towards assessing the present and future demands for blood and also avoiding unnecessary transfusions.

Analysis of Feasibility and Acceptability of an E-Learning Module in Anatomy.

Recent advance in medical education is in correlation with the advances in information technology and thus computer-based learning is being increasingly employed. The objective of the present study was to design and evaluate an e-learning module in anatomy and assess the perceptions of students and faculty about this e-learning module. The participating students were randomized into three groups by block stratified randomization and Google groups were created for each of the three groups.