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Overall, the one-week program was considered a success and students would recommend it to others. This study concludes that a short, one-week study abroad program enabled nursing students to develop individually as well as develop cultural competencies in healthcare.

Pancreatic density and steatosis detected in pre-operative computed tomography (CT) may be a risk factor for PF development after pancreatoduodenectomy (PD). There is insufficient data available on the relationship between PF and atherosclerosis in pancreatic vasculature of pancreatitis. This study aims to investigate whether PF development in patients undergoing PD can be predicted by preoperative CT findings.

Pancreas and spleen densities were measured on non-contrast CT images and pancreatic index (PI) was calculated to detect pancreatic steatosis. Pancreatic density and Wirsung diameter (WD) were measured on portal venous phase. Pancreatic fistulae were identified as biochemical leak (BL), grade B and grade C using ISGPF classification. The findings were compared between the fistula and non-fistula groups and ISGPF subgroups.

Of 148 patients, PF was detected on 31 (20.9%). In PF group, mean pancreatic density and PI were significantly lower than non-PF group, while pancreatic steatosis was detected at a higher rate. The WD was significantly narrower in the PF group. No significant relationship was found between the development of PF and the findings of atherosclerosis in the CT and SMA or acute pancreatitis. AP1903 solubility dmso There was no significant difference between the PF subgroups for pancreas density.

In preoperative CT examinations, measuring the pancreatic density, PI index and WD can be used as a noninvasive quantitative method to predict the possibility of postoperative PF development.

In preoperative CT examinations, measuring the pancreatic density, PI index and WD can be used as a noninvasive quantitative method to predict the possibility of postoperative PF development.Sediment transport in sewers has been extensively studied in the past. This paper aims to propose a new method for predicting the self-cleansing velocity required to avoid permanent deposition of material in sewer pipes. The new Random Forest (RF) based model was implemented using experimental data collected from the literature. The accuracy of the developed model was evaluated and compared with ten promising literature models using multiple observed datasets. The results obtained demonstrate that the RF model is able to make predictions with high accuracy for the whole dataset used. These predictions clearly outperform predictions made by other models, especially for the case of non-deposition with deposited bed criterion that is used for designing large sewer pipes. The volumetric sediment concentration was identified as the most important parameter for predicting self-cleansing velocity.UV/sulfite process in the absence of oxygen was previously applied as an advanced reduction process for the removal of many halogenated organics and inorganics in water and wastewater. Here, it was found that UV/sulfite process in the presence of oxygen could act as an advanced oxidation process. Specifically, the oxysulfur radicals (including sulfate radical (SO4·-) and sulfite/peroxomonosulfate radicals (SO3·-/SO5·-)) played important roles on the degradation of iopamidol (IPM) as a typical iodinated contrast media (ICM). Furthermore, the contribution of SO4·- on IPM removal gradually increased as pH increased from 5 to 7 and that of SO3·-/SO5·- decreased. Besides, all water quality parameters (i.e., chloride (Cl-), iodide (I-) and natural organic matter (NOM)) investigated here exhibited inhibitory effect on IPM removal. Three inorganic iodine species (i.e., I-, reactive iodine species and iodate (IO3-)) were detected in UV/sulfite process in the presence of oxygen, while only I- was detected in that without oxygen. During UV/sulfite/ethanol, UV photolysis and UV/peroxydisulfate (PDS)/tert-butyl alcohol (TBA) processes, thirteen transformation products including eleven deiodinated products of IPM were identified by ultra HPLC quadrupole time of flight-mass spectrometry (UPLC-Q-TOF-MS). Besides, these products generated by direct UV photolysis, SO4·- and SO3·-/SO5·- were further distinguished. The acute toxicity assay of Vibrio fischeri indicated that transformation products by UV/sulfite under aerobic conditions were less toxic than that by direct UV photolysis.In drinking water distribution system (DWDS), disinfection byproducts (DBPs) have a large possibility of participating in iron oxidation by dissolved oxygen (DO), which may induce particle structure transformations and increase unknown risks. In this work, the influence of trichloroacetic acid (TCAA, one of the most typical DBPs) on iron oxidation processes was studied, and the potential effects of the resulting α-FeOOH particles were evaluated through two aspects (i) influence on the bacterial community and (ii) toxicity to human cells. TCAA promoted iron oxidation process through an Fe-O-C linkage, which led to a sharper surface of the particles (TCAA-mediated Fe oxide particles, TFOP) than that without TCAA (Fe oxide particles, FOP). Interestingly, the influence of particles on the richness of bacterial community of drinking water was different under anaerobic and aerobic conditions under anaerobic conditions, the richness of bacterial community increased with the addition of particles, while under aerobic conditions, the richness of bacterial community decreased. The higher affinity of TFOP for electron-accepting DO than FOP indicated the role of DO on TFOP under aerobic conditions. TFOP exhibited the strongest cytotoxicity among FOP and the actual deposits. DFT calculations confirmed that TCAA in iron particles promoted the adsorption and dissociation of H2O2 to generate more •OH with an obvious decrease in the energy barrier from 1.51 to 0.80 eV. This study indicates the high potential of adverse effects of DBPs on loose deposits in DWDS and gives implications for the control of DBPs and deposits in drinking water.The ubiquitous distribution of microplastics (MPs) leads to inevitable interactions with the toxic pollutants present in the environment including metal-oxide nanoparticles. This study investigates the interaction of CeO2 nanoparticles (CeNPs) with MPs generated from a disposable plastic container. Further, rough MPs (R-MPs), generated through mechanical abrasion of MPs with sand, were used to probe the impact of roughness. To understand the sorption kinetics and underlying interaction processes, batch experiments were carried out. The results distinctly indicate that CeNPs sorption occurred on MPs surfaces and was consistent with the pseudo-second order kinetics model. For pristine MPs, the sorption capacity was as high as 12.9 mg/g while for R-MPs kinetic equilibrium was achieved faster and an enhanced sorption capacity (13.4 mg/g) was identified. A rise in sorption with an increase in salinity was noted while pH and humic acid exhibited a negative correlation. The observed interactions were attributed to the aggregation profile and surface charge of CeNPs and MPs.