Revealing underlying factors of absenteeism: A machine learning approach.

Introduction: The basis of support is understanding. In machine learning, understanding happens through assimilated knowledge and is centered on six pillars: big data, data volume, value, variety, velocity, and veracity. This study analyzes school attendance problems (SAP), which encompasses its legal statutes, school codes, students' attendance behaviors, and interventions in a school environment.

Therapeutic closure of bronchopleural fistulas using ethanol.

Bronchopleural fistula (BPF) leading to persistent air leak (PAL), be it a complication of pulmonary resection, radiation, or direct tumor mass effect, is associated with high morbidity, impaired quality of life, and an increased risk of death. Incidence of BPF following pneumonectomy ranges between 4.4% and 20% with mortality ranging from 27.

A Multistage Approach for Image Registration.

Successful image registration is an important step for object recognition, target detection, remote sensing, multimodal content fusion, scene blending, and disaster assessment and management. The geometric and photometric variations between images adversely affect the ability for an algorithm to estimate the transformation parameters that relate the two images. Local deformations, lighting conditions, object obstructions, and perspective differences all contribute to the challenges faced by traditional registration techniques.