Impact of Electrolyzed Water on the Microbial Spoilage Profile of Piedmontese Steak Tartare

Treatment with EW prior to grinding did not result in an effective intervention to prolong the shelf life of Piedmontese steak tartare. Our RNA-based approach clearly highlighted a microbiota that changed markedly between production runs but little during the first shelf life stages. Under these conditions, an early metataxonomic profiling might provide the best prediction of the microbiological fate of each batch of the product.

Computational Network Pharmacology–Based Strategy to Capture Key Functional Components and Decode the Mechanism of Chai-Hu-Shu-Gan-San in Treating Depression

Traditional Chinese medicine (TCM) usually plays therapeutic roles on complex diseases in the form of formulas. However, the multicomponent and multitarget characteristics of formulas bring great challenges to the mechanism analysis and secondary development of TCM in treating complex diseases. Modern bioinformatics provides a new opportunity for the optimization of TCM formulas. In this report, a new bioinformatics analysis of a computational network pharmacology model was designed, which takes Chai-Hu-Shu-Gan-San (CHSGS) treatment of depression as the case. In this model, effective intervention space was constructed to depict the core network of the intervention effect transferred from component targets to pathogenic genes based on a novel node importance calculation method. The intervention-response proteins were selected from the effective intervention space, and the core group of functional components (CGFC) was selected based on these intervention-response proteins. Results show that the enriched pathways and GO terms of intervention-response proteins in effective intervention space could cover 95.3 and 95.7% of the common pathways and GO terms that respond to the major functional therapeutic effects. Additionally, 71 components from 1,012 components were predicted as CGFC, the targets of CGFC enriched in 174 pathways which cover the 86.19% enriched pathways of pathogenic genes. Based on the CGFC, two major mechanism chains were inferred and validated. Finally, the core components in CGFC were evaluated by in vitro experiments. These results indicate that the proposed model with good accuracy in screening the CGFC and inferring potential mechanisms in the formula of TCM, which provides reference for the optimization and mechanism analysis of the formula in TCM.

Does a Starting Positive End-Expiratory Pressure of 8 cmH2O Decrease the Probability of a Ventilator-Associated Event?

Introduction: Ventilator-associated events (VAEs) are objective measures as defined by the Centers for Disease Control and Prevention (CDC). To reduce VAEs, some hospitals have started patients on higher baseline positive end-expiratory pressure (PEEP) to avoid triggering VAE criteria due to respiratory fluctuations.Methods: At our institution, VAEs were gathered from January 2014 through December 2019. Using the CDC-defined classifications, VAEs were split into two groups to separate patients with hypoxemia only (VAC) and those with hypoxemia and evidence of inflammation or infection (IVAC-plus). We used the geometric distribution to calculate the daily event probability before and after the protocol implementation. A probability threshold was used to determine if the days between events was exceeded during the post-protocol period.Results: A total of 306 VAEs were collected over the study period. Of those, 155 were VACs and 107 were IVAC-plus events during the pre-protocol period. After implementing the protocol, 24 VACs and 20 IVAC-plus events were reported. There was a non-significant decrease in daily event probabilities in both the VAC and IVAC-plus groups (0.083 vs. 0.068 and 0.057 vs. 0.039, respectively).Conclusion: We concluded a starting PEEP of 8 cmH2O is unlikely to be an effective intervention at reducing the probability of a VAE. Until specific guidelines by the CDC are established, hospitals should consider alternative methods to reduce VAEs.

Assessing States’ Intimate Partner Violence Offender Treatment Standards using a Principles of Effective Intervention Framework

Court-ordered treatment programs are a widely used response to intimate partner violence (IPV) and many states have developed standards to guide programs. The current study provides an update to Maiuro and Eberle’s. (2008) review of states’ standards and extends the literature by using the principles of effective intervention (PEIs; i.e., risk, need, responsivity, treatment, and fidelity) as an organizational framework to examine standards. Findings showed that 84% of states had standards in 2020, compared to 88% in 2007, and extensive changes both within and across states’ standards had occurred. Regarding the PEIs, in line with the risk principle most states mandated the use of risk assessments; inconsistent with the needs principle, few states used these assessments to classify clients into risk levels or inform individualized treatment. The majority of standards addressed the treatment principle by outlining a required structure and duration, but few attended to responsivity factors (e.g., identifying treatment modalities, attending to specific client factors). Regarding the fidelity principle, most standards outlined education or training requirements for staff and required periodic program reviews or audits, but few standards were evidenced-based and only about half required that programs collect data to measure effectiveness. Taken together, findings suggest that standards have continued to evolve and that the integration of PEIs into IPV treatment is only just beginning. Standards provide a rich opportunity for future researcher–practitioner partnerships in the field of IPV intervention.

The role of motivated science reception and numeracy in the context of the COVID-19 pandemic

The successful management of the COVID-19 pandemic depends on individuals accepting the current state of research and adhering to the preventive behaviors that follow from it. However, the processing of scientific results is not always rational, but influenced by prior attitudes as well as the ability to understand statistical data. Against this background, this study investigated the role of motivated reasoning and numeracy in the context of the current pandemic. To this end, participants ( N = 417; US sample) evaluated two fictitious studies, one indicating that mask mandates in schools are an effective intervention to contain the spread of SARS-CoV-2, and one indicating that mask mandates in schools are counterproductive. Participants evaluated the studies in line with their prior attitude toward mask mandates. In addition, higher numeracy was associated with decreased bias, demonstrating that the ability to reason with numbers can lead to more accurate processing of statistical information.