3%) Barts, 10 (33.3%) Birmingham, and 4 (13.3%) King's; 11 (36.7%) mentored by medical oncologists, 10 (33.3%) by clinical/radiation oncologists, and 9 (30%) by surgical oncologists. The mentorship generated a statically significant increase in students' knowledge of the multidisciplinary team and all oncology-related specialties including academia/research but not interest towards a career in oncology. Undergraduate oncology mentoring is an effective educational, networking and motivational tool for medical students. Student societies are a valuable asset in cultivating medical student oncology interest by connecting students to faculty and increasing mentor accessibility. Further research should focus on developing an optimal mentorship structure and evaluating long-term outcomes of such educational initiatives.The structure properties of chloramphenicol (CAP), including bond information and the Fukui function for the atoms in the main chain, were investigated computationally by density functional theory (DFT). The result shows that the chiral carbons in CAP offer the most active positions for chemical reactions, which is in good agreement with the experiment. The detailed degradation mechanism for CAP with hydroxyl radicals in advanced oxidation processes is further studied at the SMD/M06-2X/6-311 + G(d,p) level of theory. The main reaction methods, including the addition-elimination reaction, hydrogen abstract reaction, hydroxyl radical addition, and bond-breaking processes, are calculated. The results show that the nitro-elimination reaction is the most likely reaction in the first step of the degradation of CAP, and the latter two processes are more likely to be hydrogen abstract reactions. The details for the transition states, intermediate radicals, and free energy surfaces for all proposed reactions are given, which makes up for a lack of experimental knowledge. Colon ischemia (CI) is injury to the intestines secondary to insufficient blood flow. Its clinical severity can range from mild to life-threatening. To investigate predictive risk factors for CI and propose a scoring model for severe outcomes. We retrospectively analyzed the medical records of patients admitted to Chungnam National University Hospital from January 2010 to December 2018. CI was defined as severe when patients required surgery immediately or after initial conservative management, death occurred after hospitalization, or symptoms persisted after 2weeks. By controlling for possible confounders from the logistic regression analysis, we obtained a new risk scoring model for the early prediction of severe CI. Furthermore, using the area under the receiver operating characteristics curve (AUROC), we assessed the accuracy of the model. A total of 274 patients endoscopically diagnosed with CI were included, of whom 181 had severe CI. In the multivariate analysis, tachycardia, elevated C-reactive protein, Favier endoscopic classification stage ≥ 2, and history of hypertension were independently and significantly associated with severe CI. The AUROC of the model was 0.749. This risk scoring model based on the presence of tachycardia, elevated C-reactive protein level, unfavorable endoscopic findings by Favier's classification, and the history of hypertension could be used to predict severe CI outcomes at an early stage.This risk scoring model based on the presence of tachycardia, elevated C-reactive protein level, unfavorable endoscopic findings by Favier's classification, and the history of hypertension could be used to predict severe CI outcomes at an early stage. There are only a few reports evaluating the applicability of endothelial-damage markers analysis by immunohistochemistry (IHC) in kidney allograft samples. This study analyzed the expression of Caveolin-1 (Cav), von Willebrand factor (Vwf), and T-cadherin (Cad) in kidney biopsies and their association with antibody-mediated injury. In this retrospective study, 114 cases with antibody-mediated changes (Banff, 2020) and 72 with interstitial fibrosis/tubular atrophy were selected. IHC for Cav, Vwf and Cad was performed and evaluated according to their qualitative expression in peritubular capillaries. The cases were grouped according to the presence of microvascular inflammation (MVI), donor-specific antibodies (DSA), C4d positivity and antibody-mediated rejection (AMR). A level of significance < 0.05 was adopted. Vwf expression was associated with MVI (p < 0.001), DSA (p = 0.016), C4d (p < 0.001) and AMR (p < 0.001), and was higher in DSA+/C4d+ cases despite MVI (p < 0.001). The expression of Cad correlated with MVI (p = 0.015), C4d (p = 0.005) and AMR (p = < 0.001). Cad was more expressed in chronic AMR compared with acute/active cases (p = 0.001). Cav expression was associated with MVI (p = 0.029) and AMR (p = 0.016) and was also higher in chronic AMR (p = 0.049). A combined score of Vwf and Cad was higher in AMR when compared with C4d without rejection and IF/TA cases (p < 0.001). Vwf, Cad and Cav expression shows association with antibody-mediated injury and may be helpful to support AMR diagnosis.Vwf, Cad and Cav expression shows association with antibody-mediated injury and may be helpful to support AMR diagnosis.Groundwater pollution is the biggest threat to sustainability of groundwater resources and even more difficult to detect in case of clandestine sources. At the time when pollution is first detected in randomly located sparse wells, very little is known about the pollution sources. Finding the precise locations of clandestine sources of pollution and their release flux history is the biggest challenge and often termed as a problem belonging to the class of environmental forensics. In this study, two linked simulation optimization-based novel techniques are developed to estimate locations and release flux history from clandestine point sources of groundwater pollution. CX-5461 price Simulation model is clubbed with optimization solver to determine the locations and release flux histories of groundwater pollution sources by minimizing the residual error between observed and simulated concentration values. Simulated annealing (SA) and particle swarm optimization (PSO) are used as optimization algorithms. A detailed comparative analysis of these two meta-heuristic optimization algorithms in minimizing the residual error is presented in this study.