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Purpose The Dutch Nursing Science Faculties developed the Leadership Mentoring in Nursing Research program, which aims to increase the cadre of nurse scientists, strengthen nursing research within universities, and improve the career development of postdoctoral nurses. The purpose of this article was to describe the development of the leadership and mentoring program to foster its replication and to present a formative program evaluation. Design The leadership mentoring program was developed using a three-step procedure a systematic review of the literature on successful leadership programs was conducted; theoretical underpinnings were identified and input; and feedback was solicited from national and international experts and changes made, resulting in the final program, which was executed from February 2016-2018. Findings A 2-year leadership and mentoring program for postdoctoral nurses working in research was developed and executed. Ten fellows completed the program and worked on their leadership development, developed their own research programs, and established research collaborations. Formative evaluations showed that the fellows highly valued the program sessions. We have learned several key lessons on how to structure, implement, and evaluate the leadership and mentoring program. Conclusions Through the leadership and mentoring program, the fellows are immersed in concerted leadership development focusing on the academic leadership role. Formative evaluations showed that the program was valued by the fellows and that several key lessons were learned. Clinical relevance Through the leadership and mentoring program, 10 postdoctoral nurses strengthened their leadership in research and will further develop their role in healthcare research, clinical practice, and education.We previously described synapsin III (Syn III) as a synaptic phosphoprotein that controls dopamine release in cooperation with α-synuclein (aSyn). Moreover, we found that in Parkinson's disease (PD), Syn III also participates in aSyn aggregation and toxicity. Our recent observations point to threo-methylphenidate (MPH), a monoamine re-uptake inhibitor that efficiently counteracts the freezing-gait characteristic of advanced PD, as a ligand for Syn III. We have designed and synthesised two different fluorescently labelled MPH derivatives, one with Rhodamine Red (RHOD) and one with 5-carboxytetramethylrhodamine (TAMRA), to be used for assessing MPH binding to Syn III by FRET. TAMRA-MPH exhibited the ideal characteristics to be used as a FRET acceptor, as it was able to enter into the SK-N-SH cells and could interact specifically with human green fluorescent protein (GFP)-tagged Syn III but not with GFP alone. Moreover, the uptake of TAMRA-MPH and co-localization with Syn III was also observed in primary mesencephalic neurons. These findings support that MPH is a Syn III ligand and that TAMRA-conjugated drug molecules might be valuable tools to study drug-ligand interactions by FRET or to detect Syn III in cytological and histological samples.Background Antipsychotics are commonly prescribed in high doses in combination with multiple psychotropic drugs. This study focused on the high-dose antipsychotic prescriptions in patients with schizophrenia, while aiming to identify their associations with patients' characteristics and concurrent psychotropic prescriptions. Methods This cross-sectional study used claims data from a prefecture in Japan, between October 2014 and March 2015, to investigate antipsychotic prescriptions in adult outpatients with schizophrenia. The objective variable was the presence/absence of a high-dose prescription. The explanatory variables included sex, age (category), presence of comorbid conditions, and the use of psychiatrist's therapy. Results After exclusion, a total of 13 471 patients with schizophrenia were analyzed. The frequency of high-dose prescriptions was higher in men, with chlorpromazine-equivalent values highest in the age ranges of 45-54 and 35-44 years for men and women, respectively. Patients aged below 65 years with cerebrovascular diseases showed a decrease in high-dose prescriptions. There was a high frequency of polypharmacy psychotropic drug use in combination with a high-dose antipsychotic prescription in patients aged below 65 years. Conclusion High-dose antipsychotics are often used in combination with several psychotropic agents in patients with schizophrenia. Our findings emphasize the need to evaluate the prescribing behavior of physicians to avoid high-dose antipsychotic prescriptions for improved patient care.The novel coronavirus disease (COVID-19) poses a serious threat to global public health and economics. Serial interval (SI), time between the onset of symptoms of a primary case and a secondary case, is a key epidemiological parameter. Iadademstat price We estimated SI of COVID-19 in Shenzhen, China based on 27 records of transmission chains. We adopted three parametric models Weibull, lognormal and gamma distributions, and an interval-censored likelihood framework. The three models were compared using the corrected Akaike information criterion (AICc). We also fitted the epidemic curve of COVID-19 to the logistic growth model to estimate the reproduction number. Using a Weibull distribution, we estimated the mean SI to be 5.9 days (95% CI 3.9-9.6) with a standard deviation (SD) of 4.8 days (95% CI 3.1-10.1). Using a logistic growth model, we estimated the basic reproduction number in Shenzhen to be 2.6 (95% CI 2.4-2.8). The SI of COVID-19 is relatively shorter than that of SARS and MERS, the other two betacoronavirus diseases, which suggests the iteration of the transmission may be rapid. Thus, it is crucial to isolate close contacts promptly to effectively control the spread of COVID-19.A backpropagation artificial neural network (BPANN) model was established for the prediction of the plasma concentration and pharmacokinetic parameters of rosuvastatin (RVST) in healthy subjects. The data (demographic characteristics and results of clinical laboratory tests) were collected from 4 bioequivalence studies using reference 10-mg RVST calcium tablets. After the data were cleaned using extreme gradient boosting, 13 important factors were extracted to construct the BPANN model. The model was fully validated, and mean impact values (MIVs) were calculated. The model was used to predict the plasma concentration and pharmacokinetic parameters of oral single-dose RVST in healthy subjects under fasting and fed conditions. The predicted and measured values were compared in order to evaluate the accuracy of prediction. The constructed model performed well in validation. The top 3 factors ranked by MIV related to RVST concentration are fasting/fed, time, and creatinine clearance. The time-concentration profiles of the measured and predicted data agreed well.
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