An efficient combined intelligent system for segmentation and classification of lung cancer computed tomography images.

Background And Objective: One of the illnesses with most significant mortality and morbidity rates worldwide is lung cancer. From CT images, automatic lung tumor segmentation is significantly essential. However, segmentation has several difficulties, such as different sizes, variable shapes, and complex surrounding tissues.

A simplified approach for efficiency analysis of machine learning algorithms.

The efficiency of machine learning (ML) algorithms plays a critical role in their deployment across various applications, particularly those with resource constraints or real-time requirements. This article presents a comprehensive framework for evaluating ML algorithm efficiency by incorporating metrics, such as training time, prediction time, memory usage, and computational resource utilization. The proposed methodology involves a multistep process: collecting raw metrics, normalizing them, applying the Analytic Hierarchy Process (AHP) to determine weights, and computing a composite efficiency score.

Craniosynostosis in Africa: Insights from Eight Countries-A Systematic Review and Meta-Analysis.

Objective: Craniosynostosis is a congenital skull deformity that impacts development and quality of life of children if left untreated. This study aimed to evaluate literature regarding presentation, treatment and outcomes of craniosynostosis in Africa.

Methods: A systematic review of the literature using PubMed/MEDLINE, SCOPUS, Web of Science and Google Scholar databases was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

Synergistic effects of plastic debris and elevated nitrate concentrations on the proliferation of Ulva lactuca micro-propagules.

Ulva lactuca is a versatile intertidal and blooming green macroalga with a global distribution, undergoing a lifecycle that consists of critical phases. The effects of surface physical properties and elevated nitrate concentrations on the growth of Ulva spores were evaluated using ATR-FTIR analysis, water contact angle measurements and fluorescence microscopy. The weathering process conducted with seawater led to the emergence of new functional groups such as CO, CH (rock), and CH, alongside a reduction in existing groups on the polymers, as evidenced by ATR-FTIR.