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ion of LRIG1 in human melanoma cells reduces EGFR and ERBB3 expression after EGF stimulation.We appreciate the comments of Ikegami et al. in regards to our recent study. Ikegami et al. pointed out that the use of left liver graft (LLG) in living donor liver transplantation (LDLT) could be a good option with portal inflow modulation (PFM). First of all, there is no doubt that donor safety should be most prioritized in LDLT (1). Therefore, the use of LLG should always be taken into account during pre-transplant evaluations. learn more As Ikegami et al. described, the improvements in surgical techniques and patient selection have successfully expanded the indications of LLG in LDLT.
To explore how big data can be used to identify the contribution or influence of six specific workload variables patient count, medication count, task count call lights, patient sepsis score, and hours worked on the occurrence of a near miss (NM) by individual nurses.
A correlational and cross-section research design was used to collect over 82,000 useable data points of historical workload data from the three unique systems on a medical-surgical unit in a midsized hospital in the southeast United States over a 60-day period. Data were collected prior to the start of the Covid-19 pandemic in the United States.
Combined data were analyzed using JMP Pro version 12. Mean responses from two groups were compared using a t-test and those from more than two groups using analysis of variance. Logistic regression was used to determine the significance of impact each workload variable had on individual nurses' ability to administer medications successfully as measured by occurrence of NMs.
The mean outcome of e errors should be implemented based on the individual's risk profile.
In the majority of nurses, different workload variables increase their risk for an NM, suggesting that interventions addressing medication errors should be implemented based on the individual's risk profile.Tuberculosis (TB) is a contagious disease which can easily be disseminated in a society. A five state Susceptible, exposed, infected, recovered and resistant (SEIRs) epidemiological mathematical model of TB has been considered along with two non-linear controllers State Feedback (SFB) and Synergetic controllers have been designed for the control and prevention of the TB in a population. Using the proposed controllers, the infected individuals have been reduced/controlled via treatment, and susceptible individuals have been prevented from the disease via vaccination. A mathematical analysis has been carried out to prove the asymptotic stability of proposed controllers by invoking the Lyapunov control theory. Simulation results using MATLAB/Simulink manifest that the non-linear controllers show fast convergence of the system states to their respective desired levels. Comparison shows that proposed SFB controller performs better than Synergetic controller in terms of convergence time, steady state error and oscillations.
The purpose of this study was to gauge the experiences of applicants and program directors (PDs) in the Medical Physics (MedPhys) Match (MPM) and to determine the most important characteristics and factors that influence decision-making for applicants and programs when screening, interviewing, and ranking in the MPM. Opinions were also solicited from applicants and PDs on the status of medical physics residencies and the selection process, such as the availability of residency positions and satisfaction with the match process.
A survey was sent to all applicants registered for the 2015-2018 MPM and to all PDs registered for the 2015-2017 MPM. Survey questions asked about the pre-interview screening, interview, and ranking stages of the residency match process. Survey data were analyzed using graphical methods and spreadsheet tools.
An increasing percentage of applicants are female and/or hold a PhD as their highest degree. The over all number of interview invitations per applicant has increased, leadingts and PDs participating in the MPM is useful to future participants navigating the residency match system. It is hoped that the data will be helpful to inform improvements and to enhance understanding of the residency match system and how it shapes our profession.Reciprocal interactions between cancer cells and stromal cells in the tumor microenvironment (TME) are essential for full-blown tumor development. Carcinoma-associated fibroblasts (CAFs) are a key component of the TME together with a wide variety of stromal cell types including vascular, inflammatory, and immune cells in the extracellular matrix. CAFs not only promote tumor growth, invasion, and metastasis, but also dampen the efficacy of various therapies including immune checkpoint inhibitors. CAFs are composed of distinct fibroblast populations presumably with diverse activated fibroblastic states and tumor-promoting phenotypes in a tumor, indicating intratumor heterogeneity in these fibroblasts. Given that CAFs have been implicated in both disease progression and therapeutic responses, elucidating the functional roles of each fibroblast population in CAFs and the molecular mechanisms mediating their phenotypic stability and plasticity in the TME would be crucial for understanding tumor biology. We herein discuss how distinct fibroblast populations comprising CAFs establish their cell identities, in terms of cells-of-origin, stimuli from the TME, and the phenotypes characteristic of activated states.Only a handful of US Food and Drug Administration (FDA) Emergency Use Authorizations exist for drug and biologic therapeutics that treat severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) infection. Potential therapeutics include repurposed drugs, some with cardiac liabilities. We report on a chronic preclinical drug screening platform, a cardiac microphysiological system (MPS), to assess cardiotoxicity associated with repurposed hydroxychloroquine (HCQ) and azithromycin (AZM) polytherapy in a mock phase I safety clinical trial. The MPS contained human heart muscle derived from induced pluripotent stem cells. The effect of drug response was measured using outputs that correlate with clinical measurements, such as QT interval (action potential duration) and drug-biomarker pairing. Chronic exposure (10 days) of heart muscle to HCQ alone elicited early afterdepolarizations and increased QT interval past 5 days. AZM alone elicited an increase in QT interval from day 7 onward, and arrhythmias were observed at days 8 and 10.
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