A Collaborative Online International Learning Experience for Doctoral Nursing Students and Faculty From Three Countries: Reshaping the Educational Landscape.

The COVID-19 pandemic presented opportunities for educational innovations and the development of intercultural learning experiences. A global health assignment guided by a collaborative online international learning pedagogy was assigned to doctoral nursing students from three different countries. Icebreaker activities, along with the Culturally You diagram, commenced the team-building process.

Accumulation of Parabens, Their Metabolites, and Halogenated Byproducts in Migratory Birds of Prey: A Comparative Study in Texas and North Carolina, USA.

Parabens are alkyl esters of p-hydroxybenzoic acid that are commonly used as preservatives in personal care products such as cosmetics. Recent studies have revealed the presence of parabens in surface and tap water because of their use as disinfection products; however, little is known about their occurrence in biological samples and their bioaccumulation potential, particularly in raptor birds known as sentinels for pollutant detection. We examined the occurrence and tissue distribution of parabens, their metabolites, and halogenated byproducts in the liver, kidney, brain, and muscle of birds of prey from Texas and North Carolina (USA).

Cognitive therapy for depression in tuberculosis treatment: protocol for multicentre pragmatic parallel arm randomised control trial with an internal pilot.

Introduction And Objectives: There is an unmet need to develop high-quality evidence addressing tuberculosis (TB)-related mental health comorbidity, particularly in the context of lower-middle-income countries. This study aims to examine the effectiveness and cost-effectiveness of cognitive behavioural therapy (CBT) versus enhanced treatment as usual (ETAU) in improving depressive symptoms in people with TB and comorbid depression, enhancing adherence with anti-TB treatment (ATT) and its implementation in the real-world setting of Pakistan.

Methods: We will conduct a pragmatic parallel arm randomised control trial with an internal pilot.

Supplemental structured surveys and pre-existing detection models improve fine-scale density and population estimation with opportunistic community science data.

Density and population estimates aid in conservation and stakeholder communication. While free and broadly available community science data can effectively inform species distribution models, they often lack the information necessary to estimate imperfect detection and area sampled, thus limiting their use in fine-scale density modeling. We used structured distance-sampling surveys to model detection probability and calculate survey-specific detection offsets in community science models.

The genomic characterization of three -specific bacteriophages, "Nucci," "MCubed," and "QMacho".

Nucci, MCubed, and QMacho are microbacteriophages that were isolated from soil samples in Charlotte, NC. They were classified into EA10, EA2, and EB clusters, respectively. Nucci and MCubed each had 63 predicted genes, while QMacho had 73 predicted genes.

Integrated distance sampling models for simple point counts.

Point counts (PCs) are widely used in biodiversity surveys but, despite numerous advantages, simple PCs suffer from several problems: detectability, and therefore abundance, is unknown; systematic spatiotemporal variation in detectability yields biased inferences, and unknown survey area prevents formal density estimation and scaling-up to the landscape level. We introduce integrated distance sampling (IDS) models that combine distance sampling (DS) with simple PC or detection/nondetection (DND) data to capitalize on the strengths and mitigate the weaknesses of each data type. Key to IDS models is the view of simple PC and DND data as aggregations of latent DS surveys that observe the same underlying density process.

Factors Associated With Food Insecurity Among a Community-Based Sample of Older Adults in a North Florida County.

Food insecurity impacts the lives of 7.6 million U.S.

Re-envisioning Digital Equity and Connection Literacy for Older Adults.

Aging adults are increasingly reliant on technology to connect and meaningfully participate in overlapping domains of life. To address the digital and connection literacy needs of 1.7 million North Carolinians aged 65 and older, digital inclusion programming should account for the interconnected social assets, needs, and motivations of this diverse population.

Models of Classroom Assessment for Course-Based Research Experiences.

Course-based research pedagogy involves positioning students as contributors to authentic research projects as part of an engaging educational experience that promotes their learning and persistence in science. To develop a model for assessing and grading students engaged in this type of learning experience, the assessment aims and practices of a community of experienced course-based research instructors were collected and analyzed. This approach defines four aims of course-based research assessment - 1) Assessing Laboratory Work and Scientific Thinking; 2) Evaluating Mastery of Concepts, Quantitative Thinking and Skills; 3) Appraising Forms of Scientific Communication; and 4) Metacognition of Learning - along with a set of practices for each aim.

Reliable determination of pulse-shape instability in trains of ultrashort laser pulses using frequency-resolved optical gating.

We describe a reliable approach for determining the presence of pulse-shape instability in a train of ultrashort laser pulses. While frequency-resolved optical gating (FROG) has been shown to successfully perform this task by displaying a discrepancy between the measured and retrieved traces for unstable trains, it fails if its pulse-retrieval algorithm stagnates because algorithm stagnation and pulse-shape instability can be indistinguishable. So, a non-stagnating algorithm-even in the presence of instability-is required.

Measuring Spatial Associations between Environmental Health and Beliefs about Environmental Governance.

Research has shown an increasing trend in attempts to integrate social and ecological data that use indicators to improve quality of life. This includes understanding people's beliefs about environmental governance. Understanding patterns in beliefs of environmental governance can be a powerful way to help policy makers take informed actions that meet individuals' needs and expectations.

The Relative Contributions of NIH and Private Sector Funding to the Approval of New Biopharmaceuticals.

Objectives: There remains ongoing debate regarding the relative efficacy of public (NIH) and private sector funding in bringing biopharmaceutical innovations to market. This paper investigates the significance of each party's level of funding for obtaining Food and Drug Administration (FDA) authorization.

Methods: A cohort of research projects linked to 23,230 National Institute of Health grants awarded in the year 2000 was audited to account for patents, where the project led to a product in clinical development and potentially FDA approval.

SARS-CoV-2 epitope-specific CD4 memory T cell responses across COVID-19 disease severity and antibody durability.

CD4 T cells are central to long-term immunity against viruses through the functions of T helper 1 (T1) and T follicular helper (T) cell subsets. To better understand the role of these subsets in coronavirus disease 2019 (COVID-19) immunity, we conducted a longitudinal study of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-specific CD4 T cell and antibody responses in convalescent individuals who seroconverted during the first wave of the pandemic in Boston, MA, USA, across a range of COVID-19 disease severities. Analyses of spike (S) and nucleocapsid (N) epitope-specific CD4 T cells using peptide and major histocompatibility complex class II (pMHCII) tetramers demonstrated expanded populations of T cells recognizing the different SARS-CoV-2 epitopes in most individuals compared with prepandemic controls.

The Genomic Characterization of Two Microbacterium foliorum-Specific Bacteriophages, QuadZero and AnnaLie.

The microbacteriophages QuadZero and AnnaLie were isolated from soil samples from Charlotte, NC, and were classified into EA and EB clusters, respectively. QuadZero has a 40,140 base-pair double-stranded DNA genome with 62 predicted protein coding genes, whereas AnnaLie has a 41,665-bp genome with 71 predicted protein coding genes.

Variation in copper sensitivity between laboratory and wild strains of Caenorhabditis elegans.

Ecological risk assessments of chemicals are frequently based on laboratory toxicity data from a small number of model species that may be reared in labs for years or decades. These populations can undergo many processes in the lab including artificial selection, founder effect, and genetic drift, and may not adequately represent their wild counterparts, potentially undermining the goal of protecting natural populations. Here we measure variation in lethality to copper chloride among strains of an emerging model species in toxicology, Caenorhabditis elegans.

Intra- and interspecific toxicity testing methods and data for nematodes exposed to metals.

Twenty-four hour median lethal concentration (LC50) toxicity tests were performed with five species of nematodes (, and ) in response to copper chloride and zinc chloride. In addition, lethality tests were also performed with seven strains of (N2 > 1 year in culture, N2 newly acquired, N2 ancestral, ED3053, JU258, JU1171, and MY1) exposed to copper chloride. Nominal chemical concentrations were validated and analyzed according to U.

Reflective Design in Action: A Collaborative Autoethnography of Faculty Learning Design.

Research on how university faculty design courses has been limited and marked by modest detail on faculty design processes. Addressing this gap, seven faculty members supported by an educational developer at a teaching-intensive university used collaborative autoethnography (CAE) to explain how university faculty engage in reflective, iterative approaches to learning design. Collaborative analysis and interpretation of systematically collected data drawn from individual experiences in learning design reveal how faculty use reflection as a tool in learning design to recognize problems, devise solutions and constructively process emotions.

Overuse Injury, Substance Use, and Resilience in Collegiate Female Athlete.

Background: Overuse injury is a common stressor experienced by female collegiate athletes and is often underreported. In response, athletes may develop negative coping skills such as substance use. Alternatively, resilience is a modifiable trait that may positively influence response to musculoskeletal injuries and substance use.

Charting a New Frontier Integrating Mathematical Modeling in Complex Biological Systems from Molecules to Ecosystems.

Advances in quantitative biology data collection and analysis across scales (molecular, cellular, organismal, and ecological) have transformed how we understand, categorize, and predict complex biological systems. This surge of quantitative data creates an opportunity to apply, develop, and evaluate mathematical models of biological systems and explore novel methods of analysis. Simultaneously, thanks to increased computational power, mathematicians, engineers and physical scientists have developed sophisticated models of biological systems at different scales.

Understanding Drivers of Variation and Predicting Variability Across Levels of Biological Organization.

Differences within a biological system are ubiquitous, creating variation in nature. Variation underlies all evolutionary processes and allows persistence and resilience in changing environments; thus, uncovering the drivers of variation is critical. The growing recognition that variation is central to biology presents a timely opportunity for determining unifying principles that drive variation across biological levels of organization.

Synthesis, antibiotic structure-activity relationships, and cellulose dissolution studies of new room-temperature ionic liquids derived from lignin.

Background: Ionic liquids (ILs) are promising pretreatment solvents for lignocellulosic biomass, but are largely prepared from petroleum precursors. Benzaldehydes from depolymerized lignin, such as vanillin, syringaldehyde, and 4-methoxy benzaldehyde, represent renewable feedstocks for the synthesis of ionic liquids. We herein report syntheses of novel lignin-derived ionic liquids, with extended N-alkyl chains, and examine their melting points, cellulose dissolution capacities, and toxicity profiles against Daphnia magna and E.

Learning From Video: A Meta-Analysis of the Video Deficit in Children Ages 0 to 6 Years.

Young children often learn less from video than face-to-face presentations. Meta-regression models were used to examine the average size of this difference (video deficit) and investigate moderators. An average deficit of about half of a standard deviation was reported across 122 independent effect sizes from 59 reports, involving children ages 0-6 years.

Build, buy, or rent? A systems view of faculty design work in the digital learning era.

To suggest sound practices in obtaining the faculty design talent needed to rapidly deploy or scale up digital learning, this paper adopts a systems view of the findings and implications of "The Process of Designing for Learning: Understanding University Teachers' Design Work" by Bennett et al. (Educational Technology Research and Development 65(1), 125-145, 2017). Bennett et al.

Investigating potential toxic effects of pollutants on population growth rates and probability of extinction for a representative squamate.

Chemical contamination has been suggested as an important contributing factor to reptile population declines, but direct links are rarely reported. Population modeling provides a quantitative method to understand the long-term effects of contaminants on population persistence. We created a matrix model for Sceloporus lizards and investigated hypothetical toxic effects by reducing survival and reproductive parameters by 0 to 100% in 10% increments.