Discerning Emittable from Extractable Chemicals Identified in Consumer Products by Suspect Screening GCxGC-TOFMS.

Characterization of chemicals in household products is important for understanding this potential source of chemical exposure. Increasingly, suspect screening and nontargeted analysis techniques are used to characterize as many chemical signatures as possible. Solids such as household products are most conveniently prepared using solvent extraction, revealing what chemicals are contained within the product matrix but providing no information about the potential of those chemicals to leave the matrix and cause actual exposure.

Skin health of urban-living Aboriginal children attending a primary care Aboriginal Community Controlled Health Organisation clinic.

Background And Objectives: Despite increasing urbanisation, little is known about skin health for urban-living Aboriginal children and young people (CYP, aged <18 years). This study aimed to investigate the primary care burden and clinical characteristics of skin conditions in this cohort.

Method: A one-year retrospective cohort study of urban-living Aboriginal CYP presenting for general practitioner (GP) consultation at an Aboriginal Community Controlled Health Organisation (ACCHO) was conducted.

Nonmalignant dermatologic disorders in Inflammatory Bowel Disease.

Inflammatory bowel disease (IBD) is associated with extraintestinal manifestations (EIMs) that can affect multiple body systems. EIMs are seen in up to 50 % of patients with IBD. [1] Skin involvement is particularly common occurring in up to 15-20% of patients.

A Deixis-Centered Approach for Documenting Remote Synchronous Communication around Data Visualizations.

Referential gestures, or as termed in linguistics, deixis, are an essential part of communication around data visualizations. Despite their importance, such gestures are often overlooked when documenting data analysis meetings. Transcripts, for instance, fail to capture gestures, and video recordings may not adequately capture or emphasize them.

Characterizing Chemical Exposure Trends from NHANES Urinary Biomonitoring Data.

Background: Xenobiotic metabolites are widely present in human urine and can indicate recent exposure to environmental chemicals. Proper inference of which chemicals contribute to these metabolites can inform human exposure and risk. Furthermore, longitudinal biomonitoring studies provide insight into how chemical exposures change over time.

Design Concerns for Integrated Scripting and Interactive Visualization in Notebook Environments.

Interactive visualization can support fluid exploration but is often limited to predetermined tasks. Scripting can support a vast range of queries but may be more cumbersome for free-form exploration. Embedding interactive visualization in scripting environments, such as computational notebooks, provides an opportunity to leverage the strengths of both direct manipulation and scripting.

Suspect Screening Analysis of Pooled Human Serum Samples Using GC × GC/TOF-MS.

Humans interact with thousands of chemicals. This study aims to identify substances of emerging concern and in need of human health risk evaluations. Sixteen pooled human serum samples were constructed from 25 individual samples each from the National Institute of Environmental Health Sciences' Clinical Research Unit.

Visual Exploratory Analysis for Designing Large-Scale Network-on-Chip Architectures: A Domain Expert-Led Design Study.

Visualization design studies bring together visualization researchers and domain experts to address yet unsolved data analysis challenges stemming from the needs of the domain experts. Typically, the visualization researchers lead the design study process and implementation of any visualization solutions. This setup leverages the visualization researchers' knowledge of methodology, design, and programming, but the availability to synchronize with the domain experts can hamper the design process.

A computational framework for improving genetic variants identification from 5,061 sheep sequencing data.

Background: Pan-genomics is a recently emerging strategy that can be utilized to provide a more comprehensive characterization of genetic variation. Joint calling is routinely used to combine identified variants across multiple related samples. However, the improvement of variants identification using the mutual support information from multiple samples remains quite limited for population-scale genotyping.

Field demonstration analyzing the implementation of individual animal electronic identification and genetic testing in western range sheep flocks.

Adoption of electronic identification ear tags (EID) and DNA testing by commercial range sheep producers in the Western United States has been low, despite the availability of these technologies for over a decade. Jointly, these technologies offer an approach to provide individual animal performance data to improve flock health, genetic and reproductive management. This project involved a collaboration with five California sheep producers representing a broad geographic range, varying levels of pre-project EID adoption, and diverse operational practices.

Cutting-edge computational chemical exposure research at the U.S. Environmental Protection Agency.

Exposure science is evolving from its traditional "after the fact" and "one chemical at a time" approach to forecasting chemical exposures rapidly enough to keep pace with the constantly expanding landscape of chemicals and exposures. In this article, we provide an overview of the approaches, accomplishments, and plans for advancing computational exposure science within the U.S.

The resilience and viability of farmers markets in the United States as an alternative food network: case studies from Michigan during the COVID-19 pandemic.

This paper examines the resilience of farmers markets in Michigan to the system shock of the global COVID-19 pandemic, questioning how the response fits into market goals of food sovereignty. Adapting to shifting public health recommendations and uncertainty, managers implemented new policies to create a safe shopping experience and expand food access. As consumers directed their shopping to farmers markets looking for safer outdoor shopping, local products, and foods in short supply at grocery stores, market sales skyrocketed with vendors reporting selling more than ever before, but the longevity of this change remains unclear.

Usability and acceptability testing of a Plan of Safe Care in a mobile health platform.

Purpose: Women who are pregnant or parenting while recovering from substance use disorder (SUD) are at risk for insufficient recovery support. With the federal mandate, implementation has been left to each state for the Plan of Safe Care (POSC), leading to challenges in providing comprehensive care coordination and meeting federal reporting requirements.

Methods: This research tests the usability and acceptability of a POSC platform, called SAFE4BOTH, which combines a mobile health (mHealth) app for use by mothers with substance use disorder (MSUD) with a web-based case management system for use by stakeholders to reduce the issue of fragmented postnatal maternal and infant care.

Screening for drinking water contaminants of concern using an automated exposure-focused workflow.

Background: The number of chemicals present in the environment exceeds the capacity of government bodies to characterize risk. Therefore, data-informed and reproducible processes are needed for identifying chemicals for further assessment. The Minnesota Department of Health (MDH), under its Contaminants of Emerging Concern (CEC) initiative, uses a standardized process to screen potential drinking water contaminants based on toxicity and exposure potential.

A Data-Driven Approach to Estimating Occupational Inhalation Exposure Using Workplace Compliance Data.

A growing list of chemicals are approved for production and use in the United States and elsewhere, and new approaches are needed to rapidly assess the potential exposure and health hazard posed by these substances. Here, we present a high-throughput, data-driven approach that will aid in estimating occupational exposure using a database of over 1.5 million observations of chemical concentrations in U.

A sensitivity analysis of a human exposure model using the Sobol method.

The Air Pollutants Exposure Model (APEX) is a stochastic population-based inhalation exposure model which (along with its earlier version called pNEM) has been used by the U.S. Environmental Protection Agency (EPA) for over 30 years for assessment of human exposure to airborne pollutants.

The chemical landscape of high-throughput new approach methodologies for exposure.

The rapid characterization of risk to humans and ecosystems from exogenous chemicals requires information on both hazard and exposure. The U.S.

Traveler: Navigating Task Parallel Traces for Performance Analysis.

Understanding the behavior of software in execution is a key step in identifying and fixing performance issues. This is especially important in high performance computing contexts where even minor performance tweaks can translate into large savings in terms of computational resource use. To aid performance analysis, developers may collect an execution trace-a chronological log of program activity during execution.

From ivory tower to inclusion: Stakeholders' experiences of community engagement in Australian autism research.

Autistic people, and other community stakeholders, are gaining increasing recognition as valuable contributors to autism research, resulting in a growing corpus of participatory autism research. Yet, we know little about the ways in which stakeholders practice and experience community engagement in autism research. In this study, we interviewed 20 stakeholders (academics, autistic people, family members/careers, research students, and service providers) regarding their experiences of community engagement in Australian autism research.

Inflammatory Bowel Disease and Cardiovascular Diseases.

Background: Emerging data showed patients with chronic inflammatory disorders, including inflammatory bowel disease, are more likely to develop atherosclerotic cardiovascular diseases, heart failure, and atrial fibrillation. This article aims to review the evidence of those associations.

Methods: PubMed was searched from inception to January 2022 using the keywords, including inflammatory bowel diseases, Crohn disease, ulcerative colitis, atherosclerotic cardiovascular disease, coronary artery disease, cardiovascular disease, atrial fibrillation, heart failure, and premature coronary artery disease.

Bayesian inference of chemical exposures from NHANES urine biomonitoring data.

Background: Knowing which environmental chemicals contribute to metabolites observed in humans is necessary for meaningful estimates of exposure and risk from biomonitoring data.

Objective: Employ a modeling approach that combines biomonitoring data with chemical metabolism information to produce chemical exposure intake rate estimates with well-quantified uncertainty.

Methods: Bayesian methodology was used to infer ranges of exposure for parent chemicals of biomarkers measured in urine samples from the U.

Advances in computational methods along the exposure to toxicological response paradigm.

Human health risk assessment is a function of chemical toxicity, bioavailability to reach target biological tissues, and potential environmental exposure. These factors are complicated by many physiological, biochemical, physical and lifestyle factors. Furthermore, chemical health risk assessment is challenging in view of the large, and continually increasing, number of chemicals found in the environment.

Bedside Nurses' Perceptions of Effective Nurse-Physician Communication in General Medical Units: A Qualitative Study.

Background There is a dearth of research on successful interventions to improve nurse-physician communication (NPC). An important step is identifying what matters to bedside nurses and their perceptions of effective NPC communications and actions. Methods We conducted three focus groups with a total of 19 medical unit nurses across two hospitals in one academic medical center in the United States.