The stabilisation of clayey soil by using sawdust and sawdust ash.

Soil stabilisation by waste materials has been recently employed to enhance soil engineering properties. The purpose of this study is to compare the impact of utilising sawdust in its raw form versus sawdust ash as a soil stabiliser. This is to determine if sawdust (SD) can be considered as a substitute for sawdust ash (SDA) in order to reduce incineration and air pollution. To fulfil this aim, the Atterberg limits, modified Proctor test, and Direct Shear test were performed on both stabilised and non-stabilised mixtures of clayey soil. The soil was treated with 2%, 5%, 8%, 12%, 15%, and 20% by soil dry weight of both SD and SDA. The findings show that the use of SD and SDA leads to a reduction in the plasticity index and the maximum dry unit weight of the soil while increasing its optimum moisture content. The bearing capacity of the soil was greatest at 5% for both SD and SDA, with SD exhibiting a greater enhancement (31.89%) than SDA. Therefore, it is recommended to utilise SD instead of SDA for soil stabilisation due to its superior effectiveness and less harmful environmental impact.

Skin manifestations in children with MIS-C and COVID-19: a narrative review.

This review aims to highlight the diverse skin manifestations in children and adolescents with COVID induced multisystem inflammatory syndrome in children (MIS-C). The symptoms of COVID-19 can vary greatly in severity between different age groups. Although most children infected with SARS-CoV-2 experience either no symptoms or only mild symptoms, some reported cases of severely affected children with a clinical presentation similar to incomplete Kawasaki disease have led to the definition of a new condition called MIS-C. MIS-C can involve multiple organs, including the skin, and may pose a life-threatening risk to affected children. Such cases highlight the need for continuous research into the possible skin manifestations associated with COVID-19 in pediatric populations to aid in early diagnosis and prompt treatment. We conducted a search of PubMed, Scopus, and ScienceDirect databases for studies published up until October 1, 2022. Three reviewers independently examined each study, and a fourth reviewer resolved any disagreements. A narrative review of all relevant papers was conducted. We present an overview of the clinical presentation, pathophysiology, diagnosis, and treatment of the various skin manifestations in children and adolescents with COVID-19 or MIS-C. The skin manifestations of COVID-19 and MIS-C can be diverse and are frequently overlooked. It is important to conduct further research to better understand the impact of this disease on children to provide appropriate care for these at-risk populations.

Systems Biology in Cancer Diagnosis Integrating Omics Technologies and Artificial Intelligence to Support Physician Decision Making.

Cancer is the second major cause of disease-related death worldwide, and its accurate early diagnosis and therapeutic intervention are fundamental for saving the patient's life. Cancer, as a complex and heterogeneous disorder, results from the disruption and alteration of a wide variety of biological entities, including genes, proteins, mRNAs, miRNAs, and metabolites, that eventually emerge as clinical symptoms. Traditionally, diagnosis is based on clinical examination, blood tests for biomarkers, the histopathology of a biopsy, and imaging (MRI, CT, PET, and US). Additionally, omics biotechnologies help to further characterize the genome, metabolome, microbiome traits of the patient that could have an impact on the prognosis and patient's response to the therapy. The integration of all these data relies on gathering of several experts and may require considerable time, and, unfortunately, it is not without the risk of error in the interpretation and therefore in the decision. Systems biology algorithms exploit Artificial Intelligence (AI) combined with omics technologies to perform a rapid and accurate analysis and integration of patient's big data, and support the physician in making diagnosis and tailoring the most appropriate therapeutic intervention. However, AI is not free from possible diagnostic and prognostic errors in the interpretation of images or biochemical-clinical data. Here, we first describe the methods used by systems biology for combining AI with omics and then discuss the potential, challenges, limitations, and critical issues in using AI in cancer research.