Enhancing software defect prediction: a framework with improved feature selection and ensemble machine learning.

Effective software defect prediction is a crucial aspect of software quality assurance, enabling the identification of defective modules before the testing phase. This study aims to propose a comprehensive five-stage framework for software defect prediction, addressing the current challenges in the field. The first stage involves selecting a cleaned version of NASA's defect datasets, including CM1, JM1, MC2, MW1, PC1, PC3, and PC4, ensuring the data's integrity.

Challenges and strategies regarding anaesthetic management of twin pregnancy undergoing redo aortic valve replacement.

Introduction And Importance: Redo aortic valve replacement in twin pregnancy presents significant challenges because of the elevated risks for both maternal and fetal health. Mortality rates range from 12 % to 21 % in specialised centres, with previous cardiac surgeries further elevating the risk. Pregnancy complicates cardiac surgery, with fetal mortality rates as high as 16-33 %.

Heterotrophic calcification of medial collateral ligament of knee joint: A case report.

Soft-tissue calcification is characterised by the deposit of calcium in the damaged collagen fibres. The pathology of the phenomenon is not fully known. Trauma, spinal cord injury and traumatic brain injury have been reported as possible risk factors.

Clinicopathological study of ameloblastoma and detection of human papilloma virus by immunohistochemistry.

Objective: To study the clinocopathological factors and presence of Human Pappiloma Virus in ameloblastoma by immnohistochemistry.

Methods: It was a cross sectional study on 50 surgical specimens of ameloblastoma, completed in six months. These were selected and processed for initial screening by H&E and then by immunohistochemistry (IHC) for detection of Human Papilloma Virus (HPV).

[Paratesticular rhabdomyosarcoma].

The authors report a case of embryonal paratesticular rhabdomyosarcoma in a 9-year-old child and discuss the treatment modalities in the light of data from the literature.