Richarddickson2597

Previous research on persuasion has used researcher-generated exemplars to manipulate source characteristics such as likeability, trustworthiness, expertise, or power. This approach has been fruitful, but it relies to some degree on an overlap between researcher understanding of these variables and lay understanding of these variables. Additionally, these exemplar manipulations may have unintentionally affected multiple characteristics and may be limited to certain topics or time periods. In the current work, we sought to provide persuasion researchers with a methodological tool to increase construct and potentially external validity by conducting a prototype analysis of the four traditional source characteristics likeability, trustworthiness, expertise, and power. This bottom-up approach provided insight into the ways in which recipients perceive sources and allowed us to examine relations between the characteristics. Moving forward, a bottom-up understanding of source characteristics will allow researchers to more effectively develop manipulations that might transcend time and topic as well as isolate their effects to the intended source characteristic.Recent advances in Markov chain Monte Carlo (MCMC) extend the scope of Bayesian inference to models for which the likelihood function is intractable. Although these developments allow us to estimate model parameters, other basic problems such as estimating the marginal likelihood, a fundamental tool in Bayesian model selection, remain challenging. This is an important scientific limitation because testing psychological hypotheses with hierarchical models has proven difficult with current model selection methods. We propose an efficient method for estimating the marginal likelihood for models where the likelihood is intractable, but can be estimated unbiasedly. It is based on first running a sampling method such as MCMC to obtain samples for the model parameters, and then using these samples to construct the proposal density in an importance sampling (IS) framework with an unbiased estimate of the likelihood. Our method has several attractive properties it generates an unbiased estimate of the marginal likelihood, it is robust to the quality and target of the sampling method used to form the IS proposals, and it is computationally cheap to estimate the variance of the marginal likelihood estimator. We also obtain the convergence properties of the method and provide guidelines on maximizing computational efficiency. The method is illustrated in two challenging cases involving hierarchical models identifying the form of individual differences in an applied choice scenario, and evaluating the best parameterization of a cognitive model in a speeded decision making context. Freely available code to implement the methods is provided. see more Extensions to posterior moment estimation and parallelization are also discussed.

To analyze the results regarding weight loss and complications related to the Spatz3® adjustable intragastric balloon (IGB) in Brazil.

This randomized prospective study covered patients who had undergone treatment using a Spatz3® adjustable IGB between October 2016 and June 2018 at a private clinic in Rio de Janeiro, Brazil. The patients had a minimum body mass index (BMI) of 27kg/m

. The study examined complications of Spatz3® treatment and BMI reduction, percentage of total weight loss (%TWL), and % of excess weight loss (%EWL).

One hundred eighty patients underwent a Spatz3® balloon implant in the period. The patients were randomly divided into one group in which the Spatz balloon was kept at the same volume (600mL) throughout treatment (Control Group), and another adjustment group with 250mL greater volume. The complication rate was 16.14%. No death or major complication occurred during the study. Mean BMI decreased from 39.51 to 32.84kg/m

(p < 0.0001), bodyweight from 111.87 to 90.28kg (p< 0.0001), and excess weight from 41.55 to 22.99kg (p <0.0001). The adjustment resulted in greater mean weight loss of 4.35kg (- 8 to 17.6kg), and the average time of the procedure was 7.12 ± 1.63months. The upward adjustment group did not present greater %TWL, %EWL, or BMI reduction when compared with the control group (p = 0.4413, p = 0,9245, p = 0.2729, respectively).

This study shows that Spatz3® IGB treatment is an effective procedure for weight reduction, with no mortality but higher morbidity compared with traditional IGBs. This procedure also enabled the balloon to stay in place for longer. The efficacy of upward adjustment still requires further confirmation.

This study shows that Spatz3® IGB treatment is an effective procedure for weight reduction, with no mortality but higher morbidity compared with traditional IGBs. This procedure also enabled the balloon to stay in place for longer. The efficacy of upward adjustment still requires further confirmation.

There are few studies assessing how data on adverse drug events from consumers on social media compare with other sources.

The aim of this study was to assess the consistency of adverse event data of statin medications from social media as compared with other sources.

We collected data on the adverse events of statins from Twitter, the US FDA Adverse Event Reporting System (FAERS), the UK Medicines and Healthcare products Regulatory Agency (MHRA), drug information databases (DIDs) and systematic reviews. We manually annotated 12,649 tweets collected between June 2013 and August 2018. We collected 45,447 reports from FAERS, 10,415 from MHRA, identified 17 systematic reviews with relevant data and extracted data from Facts and Comparisons

and Clinical Pharmacology

. We compared the proportion, relative frequencies and rank of each category of adverse event from each source using MedDRA

primary System Organ Class codes.

Compared with other sources, patients on social media are proportionally far more likely to complain about musculoskeletal symptoms than other adverse events. Most adverse events showed a high level of agreement between Twitter and regulatory data. DIDs tend to demonstrate similar patterns but not as strongly. Systematic reviews tend to examine pre-specified adverse events or those reported by trial investigators.

Combining the data from multiple sources, albeit challenging, may provide a broader safety profile of any medication. Systematically collected social media reports may be able to contribute information on the most pertinent adverse effects to patients.

Combining the data from multiple sources, albeit challenging, may provide a broader safety profile of any medication. Systematically collected social media reports may be able to contribute information on the most pertinent adverse effects to patients.Leiomyosarcoma (LMS) is a rare and aggressive mesenchymal malignancy, derived from smooth muscle cells or precursor mesenchymal stem cells for this tissue type. LMS has highly complex and unstable karyotypes, and the clinical outcomes in patients with LMS remain dismal as evidenced by the 5-year-survival of 64%. Novel therapeutic approaches are required to improve its clinical outcomes. Patient-derived cancer cell lines are indispensable as a tool to study the molecular mechanisms underlying clinical behaviors of tumor cells such as resistance to treatments, metastasis, and recurrence. However, only a limited number of LMS cell lines are publicly available, probably because of the rarity of patients with LMS, and a paucity of cell lines hinders the research on LMS. This study aimed to develop a patient-derived LMS cell line. We successfully established a cell line from the primary tumor tissue of a 90-year-old female patient with pleomorphic LMS, which we named NCC-LMS2-C1. NCC-LMS2-C1 cells were maintained as a monolayer culture for over 29 passages spanning 10 months. NCC-LMS2-C1 cells exhibited continuous growth, the ability to form spheroid, and invasion capability. We screened 213 anti-cancer drugs to find those that have anti-proliferation effects on NCC-LMS2-C1 cells, and identified a histone deacetylase inhibitor, romidepsin. In conclusion, we have established a novel LMS cell line, NCC-LMS2-C1, which will be a useful resource to study the mechanisms of LMS progression and perform high-throughput screening for anti-cancer drug discovery.

The COVID-19 pandemic has created a global setting of clinical crisis and human anxiety. Without available safe and effective vaccines and cures, an unscrupulous marketplace has emerged selling COVID-19 quackery (fraudulent misrepresentation of preventions and treatments).

US Food and Drug Administration (FDA) Warning Letters issued from March 2020 to July 2020 were analyzed for themes pertaining to unapproved, adulterated, and misbranded COVID-19 products.

During this period, the FDA issued 3,139 Warning Letters of which 98 (3.14%) of these were focused on COVID-19-related drugs, devices, biologics, and dietary supplements (products and ingredients). Specifically, these Warning Letters revealed regulatory nonconformities involving 40 identified herbs, 22 minerals/compounds, 6 devices and biologicals, and 3 vitamins. Products included hand sanitizers; COVID-19 antibody test kits; herbal teas and tinctures; nasal gel; toothpaste; and 1 vaccine. Nine Warning Letters were issued for products being sold viaharmful quackery. FDA Warning Letters are a component of meaningful corrective action; however, greater effort in spreading awareness of such misrepresented, unapproved, and adulterated products is needed to deter purchases of such products.Integrity and research ethics are cherished institutions in academic world. Although most societies have rules and codes that govern ethical conducts in research, few studies have provided quantitative evidence on the impacts of these regulations and codes on the behaviors of researchers. In the context of a nationwide anti-corruption campaign in China, this paper evaluates the changes of principal investigators' reimbursement behavior in a leading university when new reimbursement policies were introduced. Utilizing a novel grant dataset and a regression discontinuity design, we find that the new policies lowered PIs' monthly average amount of reimbursement from research grants by 35%, which can be interpreted as a reduction in grant misuse. Following speculations we argue that institutionalizing orchestrated efforts on grant management, payroll systems, and research integrity education is in the right direction toward building China into a true scientific power.

The presence of comorbidity poses a major clinical challenge in the care and treatment of COVID-19 patients. Moreover, having one or more comorbidities could be a life-threatening situation in COVID-19 patients. Cancer is substantially associated with significant morbidity and mortality in COVID-19 patients. However, there is not sufficient data to conclude that cancer patients have a higher risk of COVID-19 infection. In this study, we reviewed cancer comorbidity and risk of mechanical ventilation or death in patients with confirmed COVID-19.

A comprehensive systematic search was performed on PubMed, Scopus, Web of Science, SciELO, and CNKI, to find articles published until August 01, 2020. All relevant case series, case reports, systematic and narrative reviews, meta-analyses, and prospective and retrospective studies that reported clinical characteristics and epidemiological information of cancer patients infected with COVID-19 were included in the study.

A total of 12 cohort studies exclusively on cancer patients with confirmed COVID-19 were selected.