Non-targeted analysis and suspect screening of organic contaminants in temperate snowfall using liquid chromatography high-resolution mass spectrometry.

Contaminants released into the atmosphere that undergo regional and long-range transport can deposit back to Earth through snowfall. When snow melts, these contaminants re-enter the environment, sometimes far from their original emission sources. Here we present the first comprehensive characterization of organic contaminants in snow from North America.

Applying Beer's Law in the undergraduate cell biology laboratory: examining the mathematical relationship between optical density, cell concentration, and cell size using budding yeast.

Undergraduate students majoring in the life sciences benefit from experience with data analyses that connect mathematical calculations to the biological systems they are studying. Monitoring the optical density and cell number of liquid cultures allows students to gain quantitative experience generating standard curves and trendlines that capture the relationship between optical density and cell concentration for a given strain. Data comparisons across multiple strains can yield insights into the biophysical properties of cells that drive light absorbance and scattering.

The effect of childhood family adversity on adulthood depression among Chinese older migrant workers: gender differences in the mediating role of social-ecological systems.

Background: Older migrant workers (OMWs) in China face unique challenges rooted in their early life experiences, which increase their vulnerability to psychological and behavioral problems in adulthood. By utilizing the cumulative disadvantage model and the social-ecological systems theory, this study explored the effect of childhood family adversity on adulthood depression in the mediating roles of OMWs' social-ecological microsystem and mesosystem and further examined gender differences in these associations.

Methods: Data were collected from the China Health and Retirement Longitudinal Study (CHARLS), involving a sample of 4,309 OMWs aged 50 and above.

Magnetic resonance - guided treatment of low-flow vascular malformations and the technologies to potentiate adoption.

Vascular malformations are congenital, non-neoplastic lesions that arise secondary to defects in angiogenesis. Vascular malformations are divided into high-flow (arteriovenous malformation) and low-flow (venous malformations and lymphatic malformations). Magnetic resonance imaging (MRI) is the standard for pre-and post-intervention assessments, while ultrasound (US), X-ray fluoroscopy and computed tomography (CT) are used for intra-procedural guidance.

Seeking Safety for women in incarceration: a systematic review.

Purpose: Seeking Safety is an evidence-based treatment for individuals with comorbid posttraumatic stress disorder and substance use disorder. This treatment shows promise to address the unique, unmet needs of women in prison. The current systematic literature review aims to highlight several critical gaps in research on Seeking Safety in forensic settings that need to be filled before Seeking Safety can be implemented in a widespread manner.

Transcriptional reprogramming of nucleotide metabolism in response to altered pyrimidine availability in Arabidopsis seedlings.

In Arabidopsis seedlings, inhibition of aspartate transcarbamoylase (ATC) and pyrimidine synthesis resulted in pyrimidine starvation and developmental arrest a few days after germination. Synthesis of pyrimidine nucleotides by salvaging of exogenous uridine (Urd) restored normal seedling growth and development. We used this experimental system and transcriptional profiling to investigate genome-wide responses to changes in pyrimidine availability.

Effects of stopping criterion on the growth of trees in regression random forests.

Random forests are a powerful machine learning tool that capture complex relationships between independent variables and an outcome of interest. Trees built in a random forest are dependent on several hyperparameters, one of the more critical being the node size. The original algorithm of Breiman, controls for node size by limiting the size of the parent node, so that a node cannot be split if it has less than a specified number of observations.

Smoothing Lexis diagrams using kernel functions: A contemporary approach.

Lexis diagrams are rectangular arrays of event rates indexed by age and period. Analysis of Lexis diagrams is a cornerstone of cancer surveillance research. Typically, population-based descriptive studies analyze multiple Lexis diagrams defined by sex, tumor characteristics, race/ethnicity, geographic region, etc.

A Scaffolded Module to Improve Scientific Literacy by Engaging Students with Primary Literature Using the Instructor's Research Experience.

To improve students' scientific literacy, I designed a learning module that built upon my personal research experience and interest to actively engage students in reading primary literature. Here, I describe the scaffolded procedure in six steps, each linked to a learning outcome and assessment using Bloom's taxonomy as a framework of increasing from lower-order to higher-order cognition: (i) storytelling and discussion, i.e.

Transarterial Embolization and Percutaneous Ablation of Primary and Metastatic Soft Tissue Tumors.

Soft tissue tumors (STTs) include a range of benign and malignant tumors originating from soft tissues. Transarterial and percutaneous therapies are image-guided and minimally invasive approaches for managing primary and metastatic STTs. The objective of this review is to discuss transarterial and percutaneous therapies by examining the current literature, including indications, patient selection, safety, and effectiveness.

Cost-effectiveness analysis under multiple effectiveness outcomes: A probabilistic approach.

Probability based criteria are proposed for the assessment of cost-effectiveness of a new treatment compared to a standard treatment when there are multiple effectiveness measures. Depending on the preferences of a policy maker, there are several options to define such criteria. Two such metrics are investigated in detail.

Analyzing the impact of state gun laws on mass shootings in the United States from 2013 to 2021.

Objectives: Mass shooting incidents have drastically increased in the United States in the last 10 years, with a disproportionate number of incidents occurring in some states. Gun laws vary greatly by state, but little research has been conducted to examine the association between the strength of state gun laws and mass shootings. This study aims to explore the aggregate effect of state gun laws on the rate of mass shooting incidents and fatalities.

Groupitizing reflects conceptual developments in math cognition and inequities in math achievement from childhood through adolescence.

Understanding the cognitive processes central to mathematical development is crucial to addressing systemic inequities in math achievement. We investigate the "Groupitizing" ability in 1209 third to eighth graders (mean age at first timepoint = 10.48, 586 girls, 39.

Draft Genome Sequence of Delftia tsuruhatensis Strain 45.2.2, Colonizer of Zebrafish, Danio rerio, Skin Mucus.

Delftia tsuruhatensis strain 45.2.2 is a member of the zebrafish, Danio rerio, skin mucus microbiota.

Comprehensive characterization of the Hsp70 interactome reveals novel client proteins and interactions mediated by posttranslational modifications.

Hsp70 interactions are critical for cellular viability and the response to stress. Previous attempts to characterize Hsp70 interactions have been limited by their transient nature and the inability of current technologies to distinguish direct versus bridged interactions. We report the novel use of cross-linking mass spectrometry (XL-MS) to comprehensively characterize the Saccharomyces cerevisiae (budding yeast) Hsp70 protein interactome.

Draft Genome of Strain JM16, Isolated from Skin Mucus of Zebrafish (Danio rerio).

Acidovorax kalamii strain JM16 was isolated from the skin mucus of the zebrafish, Danio rerio. Its genome is 5.3 Mb with a 65.

Alternative stopping rules to limit tree expansion for random forest models.

Random forests are a popular type of machine learning model, which are relatively robust to overfitting, unlike some other machine learning models, and adequately capture non-linear relationships between an outcome of interest and multiple independent variables. There are relatively few adjustable hyperparameters in the standard random forest models, among them the minimum size of the terminal nodes on each tree. The usual stopping rule, as proposed by Breiman, stops tree expansion by limiting the size of the parent nodes, so that a node cannot be split if it has less than a specified number of observations.

A Case for Comprehensive Transitional Care for Formerly Incarcerated Individuals.

People released from prison are at risk of adverse health outcomes in the weeks after release. This article describes cases that illustrate the complexity of caring for this population. It is important to address medical and psychological needs as well as factors that contribute to social determinants of health.

Refining a DEI Assessment Tool for Use in Optimizing Professional STEM Societies for Gender Equity.

Historic science, technology, engineering and mathematics (STEM) disciplinary cultures were founded in a system that was predominately male, white, heterosexual, and able-bodied (i.e., "majority").

Hand hygiene practices in Caribbean and Latin American countries: An integrative review.

Aim And Objective: To explore what is known about knowledge, attitudes and beliefs that influence hand hygiene practices in in low- and middle-income Caribbean and Latin American countries.

Background: With the emergence of infectious diseases such as the recent COVID-19 pandemic, handwashing is key to preventing communicable diseases as they disproportionately affect populations in low-income countries. While hand hygiene is known to be the single most effective method for avoiding the transmission of infection, little is known about the beliefs and practices of individuals in these regions.

Constitutive expression of a pea apyrase, psNTP9, increases seed yield in field-grown soybean.

To address the demand for food by a rapidly growing human population, agricultural scientists have carried out both plant breeding and genetic engineering research. Previously, we reported that the constitutive expression of a pea apyrase (Nucleoside triphosphate, diphosphohydrolase) gene, psNTP9, under the control of the CaMV35S promoter, resulted in soybean plants with an expanded root system architecture, enhanced drought resistance and increased seed yield when they are grown in greenhouses under controlled conditions. Here, we report that psNTP9-expressing soybean lines also show significantly enhanced seed yields when grown in multiple different field conditions at multiple field sites, including when the gene is introgressed into elite germplasm.