A review of advanced bioremediation technologies for dioxin-contaminated soil treatment: Current and future outlook.

Polychlorinated dibenzo-p-dioxins (PCDD) and polychlorinated dibenzofurans (PCDF), namely known as dioxins, are persistent organic compounds with high toxicity. The presence of dioxins in soil is a major environmental issue worldwide, as it negatively impacts both ecosystems and human health. Thus, several advanced techniques have been applied to overcome this issue, offering promising treatment efficiency and cost-effectiveness.

Perception of learners on the effectiveness and suitability of MyDispense: a virtual pharmacy simulation and its integration in the clinical pharmacy module in Viet Nam.

Background: My Dispense is a virtual pharmacy simulation developed for students to train and practice dispensing skills in a safe environment that causes no harm to patients. This study was aimed to investigate learners' perspectives on the effectiveness of MyDispense and its suitability to integrate into the clinical pharmacy module in Viet Nam.

Methods: A mixed method approach was undertaken.

A comprehensive review of micro- and nano-plastics in the atmosphere: Occurrence, fate, toxicity, and strategies for risk reduction.

Micro- and nano-plastics (MNPs) have received considerable attention over the past 10 years due to their environmental prevalence and potential toxic effects. With the increase in global plastic production and disposal, MNP pollution has become a topic of emerging concern. In this review, we describe MNPs in the atmospheric environment, and potential toxicological effects of exposure to MNPs.

Machine learning approaches for predicting microplastic pollution in peatland areas.

This study explored the potential for predicting the quantities of microplastics (MPs) from easily measurable parameters in peatland sediment samples. We first applied correlation and Bayesian network analysis to examine the associations between physicochemical variables and the number of MPs measured from three districts of the Long An province in Vietnam. Further, we trained and tested three machine learning models, namely Least-Square Support Vector Machines (LS-SVM), Random Forest (RF), and Long Short-Term Memory (LSTM) to predict the composite quantities of MPs using physicochemical parameters and sediment characteristics as predictors.

Association between early blood urea nitrogen-to-albumin ratio and one-year post-hospital mortality in critically ill surgical patients: a propensity score-matched study.

Background: Blood urea nitrogen to albumin ratio (BAR) is increasingly recognized as an early predictor for short-term outcomes in critically ill patients, but the association of BAR with long-term outcomes in critically ill surgical patients remains underexplored.

Methods: We enrolled consecutive patients who were admitted to surgical intensive care units (ICUs) at Taichung Veterans General Hospital between 2015 and 2020, and the dates of death were retrieved from Taiwan's National Health Insurance Research Database. In addition to Cox regression, we also used propensity score matching to determine the hazard ratios (HRs) and 95% confidence intervals (CIs) for one-year post-hospital mortality of the variables.

Occurrence and distribution of microplastics in peatland areas: A case study in Long An province of the Mekong Delta, Vietnam.

Vietnam is known as one of the high plastic consumption countries in Southeast Asia. This study initially determined characteristics of microplastics (MPs) including morphology, polymer type, and abundance at peatland areas in Mekong Delta in Vietnam. The MPs level was found with an average abundance of 192.

Pyrogenic reactions in hemodialysis patients, Hanoi, Vietnam.

Of 33,111 patients admitted to a large hospital in Vietnam from November 2000 through July 2001, a total of 303 were undergoing hemodialysis and had pyrogenic reactions (ie, fever and/or rigors). Ten case patients (3.3%) had documented bacteremia; pathogens were largely waterborne microorganisms.

Ex vivo cell labeling with 64Cu-pyruvaldehyde-bis(N4-methylthiosemicarbazone) for imaging cell trafficking in mice with positron-emission tomography.

We have used copper-64-pyruvaldehyde-bis(N4-methylthiosemicarbazone) (64Cu-PTSM) to radiolabel cells ex vivo for in vivo positron-emission tomography (PET) imaging studies of cell trafficking in mice and for eventual application in patients. 2-[18F]-Fluoro-2-deoxy-d-glucose (FDG) cell labeling also was evaluated for comparison. 64Cu-PTSM uptake by C6 rat glioma (C6) cells increased for 180 min and then stabilized.