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Characterization of materials at the nanoscale plays a crucial role in in-depth understanding the nature and processes of the substances. Mass spectrometry (MS) has characterization capabilities for nanomaterials (NMs) and nanostructures by offering reliable multi-dimensional information consisting of accurate mass, isotopic, and molecular structural information. In the last decade, MS has emerged as a powerful nano-characterization technique. This review comprehensively summarizes the capabilities of MS in various aspects of nano-characterization that greatly enrich the toolbox of nano research. Compared with other characterization techniques, MS has unique capabilities for real-time monitoring and tracking reaction intermediates and by-products. Moreover, MS has shown application potential in some novel aspects, such as MS imaging of the biodistribution and fate of NMs in animals and humans, stable isotopic tracing of NMs, and risk assessment of NMs, which deserve update and integration into the current knowledge framework of nano-characterization.2020 will go down in history as a year marked in every respect by the emergence and astonishingly rapid spread of the first major global viral pandemic in a century. It seems like nearly every event or story of the year was influenced in some way by COVID-19, and in that respect, the year ended on a high note with the authorization for emergency use of the first vaccines to prevent SARS-CoV-2 infection and drugs to treat COVID-19. Despite the pandemic's dominance of the 2020 headlines, productivity was at a record high level across all therapeutic areas, as seen by the number of products in this year's review approximately 50% more than the previous year. Notable achievements include the launch of the first treatment for hepatitis D; regulatory decisions on a suite of biologics for the prevention and treatment of Ebola virus disease, fruit of the 2016-2018 outbreak in the Democratic Republic of Congo; the approval of the first-ever drug to treat Hutchinson-Gilford progeria syndrome, a rare genetic disorder that leads to premature aging; the first treatment developed specifically for thyroid eye disease, also known as Graves' ophthalmopathy; the first nonhormonal, on-demand, vaginal pH-regulating contraceptive; and the first oral allergen immunotherapy for peanut allergy.Lasmiditan, a selective 5-HT1F receptor agonist, is a harbinger for the novel ditan class of medications for acute migraine treatment. Lasmiditan activates 5-HT1F receptors on presynaptic trigeminal nerve terminals, which impedes the release of calcitonin gene-related peptide (CGRP) from trigeminal nerve endings and thereby suppresses activation of the trigeminovascular system. Notably, lasmiditan does not result in vasoconstriction, making lasmiditan a migraine-specific acute treatment option for those with cardiovascular risk factors. However, lasmiditan does have centrally mediated side effects. This review will discuss the background of lasmiditan development, its preclinical pharmacology, safety, drug interactions and indications for use.Heart failure (HF) is a substantial source of morbidity and mortality. Several clinical trials have reported a significant HF benefit of sodium/glucose cotransporter 2 (SGLT2) inhibitors in patients with type 2 diabetes. In 2019, the Food and Drug Administration (FDA) approved dapagliflozin to reduce hospitalization risk for HF in adults with type 2 diabetes and established cardiovascular disease or risk factors. Regardless of the presence of diabetes, the recent DAPA-HF study reported a significant relative risk (RR) reduction with dapagliflozin in the composite primary outcome of worsening HF or death from cardiovascular causes in patients with New York Heart Association (NYHA) class II, III or IV HF and an ejection fraction of 40%. There was a 30% RR reduction in hospitalizations for HF, 57% RR reduction in urgent HF visits, and 18% RR reduction in cardiovascular death. These results led the FDA to approve dapagliflozin in 2020 for the treatment of HF with reduced ejection fraction (NYHA class II-IV) in adults with and without type 2 diabetes. This article summarizes HF outcomes from large clinical trials of SGLT2 inhibitors and focuses on dapagliflozin's HF benefits. The review also covers potential mechanisms of HF benefit and the safety profile of dapagliflozin in patients with HF.

Ensuring that examiners in different parallel circuits of objective structured clinical examinations (OSCEs) judge to the same standard is critical to the chain of validity. Recent work suggests examiner-cohort (i.e., the particular group of examiners) could significantly alter outcomes for some candidates. Despite this, examiner-cohort effects are rarely examined since fully nested data (i.e., no crossover between the students judged by different examiner groups) limit comparisons. In this study, the authors aim to replicate and further develop a novel method called Video-based Examiner Score Comparison and Adjustment (VESCA), so it can be used to enhance quality assurance of distributed or national OSCEs.

In 2019, 6 volunteer students were filmed on 12 stations in a summative OSCE. In addition to examining live student performances, examiners from 8 separate examiner-cohorts scored the pool of video performances. Examiners scored videos specific to their station. Video scores linked otherwise fully nestVESCA's feasibility.

Examiner-cohorts produced a replicable, significant influence on OSCE scores that was unaccounted for by typical assessment psychometrics. VESCA offers a promising means to enhance validity and fairness in distributed OSCEs or national exams. Internet-based scoring may enhance VESCA's feasibility.

Socioeconomic and geographic determinants of medical school application and matriculation may help explain the unequal distribution of physicians in the United States. This study describes trends in MD-granting medical school application and matriculation rates and explores the relationship between county median family income, proximity to a medical school, and medical school application and matriculation rates.

Data were obtained from the Association of American Medical Colleges, including the age, gender, and Federal Information Processing Standards code for county of legal residence for each applicant and matriculant to U.S. RBN013209 MD-granting medical schools from 2001 through 2015. The application and matriculation rates in each county were calculated using the number of applicants and matriculants per 100,000 residents. Counties were classified into 4 groups according to the county median family income (high-income, middle-income, middle-low-income, low-income). The authors performed chi-square tests to assess trends across the study period and the association of county median family income with application and matriculation rates.

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