Ottesen

Our results provide a reference towards designing NSSI prevention programs geared toward the high school population during the COVID-19 pandemic.The present research aims to analyse the psychometric properties of the AF5 questionnaire for its adaptation for use with young people during a lockdown period. Research was conducted with a sample of 534…[Read more]

16). Overall this study showed that the levels of PTEs in investigated fish species had a potential non-carcinogenic risk for both children and adults (TTHQ>1).Suaeda fruticosa is an edible medicinal halophyte known for its traditional uses. In this study, methanol and dichloromethane extracts of S. fruticosa were explored for phytochemical,…[Read more]

is showed that pre-transplantation minimal residual disease showed positively correlation with relapse of the disease, while chronic GVHD showed negatively correlation.

The relapse rate of adult acute leukemia patients treated with allo-HSCT in our hospital is 31.0%, and OS of AML patients is better than ALL patients’. OS of relapsed…[Read more]

The aim of this study was to analyze the 5-year natural course of frailty status assessed with the Kihon Checklist (KCL) and the risk factors of transition towards frailty in community-dwelling older adults. We used the data from the postal KCL survey conducted by the municipal government between 2011 and 2016. The sample of the current study…[Read more]

ation of genome editing and transgene-free selection is an efficient strategy to accelerate functional genomic research and plant breeding.

Bladder cancer (BLCA) is a common malignant tumor of urinary system with high morbidity and mortality. In recent years, immunotherapy has played a significant role in the treatment of BLCA. Tumor mutation…[Read more]

The selective photodeprotection of the NVoc-modified FGG tripeptide yields the transformation of its 11 receptor-ligand complex with cucurbit[8]uril into a homoternary FGG2@CB8 assembly. The resulting light-induced dimerization of the model peptide provides a tool for the implementation of stimuli-responsive supramolecular chemistry in…[Read more]

Formidable computational power is also required, using different advanced statistical methods and algorithms to generate models with the ability to predict individual patient outcomes. Efficient integration of machine learning into hip arthroscopy practice can reduce physicians’ “busywork” of data collection and analysis. This can only improve the…[Read more]