Conceptualizing the Role of Racial-Ethnic Identity in U.S. Adolescent Social Technology Use and Well-Being.

Adolescent development and wellbeing now involve how the use of social technologies (e.g., social media and other online spaces) impact daily life.

Role of Low-Energy (<20 eV) Secondary Electrons in the Extraterrestrial Synthesis of Prebiotic Molecules.

We demonstrate for the first time that Galactic cosmic rays with energies as high as ∼10 eV can trigger a cascade of low-energy (<20 eV) secondary electrons that could be a significant contributor to the interstellar synthesis of prebiotic molecules whose delivery by comets, meteorites, and interplanetary dust particles may have kick-started life on Earth. For the energetic processing of interstellar ice mantles inside dark, dense molecular clouds, we explore the relative importance of low-energy (<20 eV) secondary electrons-agents of radiation chemistry-and low-energy (<10 eV), nonionizing photons-instigators of photochemistry. Our calculations indicate fluxes of ∼10 electrons cm s for low-energy secondary electrons produced within interstellar ices due to attenuated Galactic cosmic-ray protons.

Gut-resident microorganisms and their genes are associated with cognition and neuroanatomy in children.

Emerging evidence implicates gut microbial metabolism in neurodevelopmental disorders, but its influence on typical neurodevelopment has not been explored in detail. We investigated the relationship between the microbiome and neuroanatomy and cognition of 381 healthy children, demonstrating that differences in microbial taxa and genes are associated with overall cognitive function and the size of brain regions. Using a combination of statistical and machine learning models, we showed that species including , , and were enriched or depleted in children with higher cognitive function scores.

PATHway: Intervention optimization of a prevention program for adolescents at-risk for depression in the primary care setting.

With as many as 13% of adolescents diagnosed with depressive disorders each year, prevention of depressive disorders has become a key priority for the National Institute of Mental Health (NIMH). Currently, we have no widely available interventions to prevent these disorders. To address this need, we developed a multi-health system collaboration to develop and evaluate the primary care based technology "behavioral vaccine," Competent Adulthood Transition with Cognitive-Behavioral Humanistic and Interpersonal Therapy (CATCH-IT).

The Developmental Timing but Not Magnitude of Adolescent Risk-Taking Propensity Is Consistent Across Social, Environmental, and Psychological Factors.

Purpose: Risk-taking is thought to peak during adolescence, but most prior studies have relied on small convenience samples lacking participant diversity. This study tested the generalizability of adolescent self-reported risk-taking propensity across a comprehensive set of participant-level social, environmental, and psychological factors.

Methods: Data (N = 1,005,421) from the National Survey on Drug Use and Health were used to test the developmental timing and magnitude of risk-taking propensity and its link to alcohol and cannabis use across 19 subgroups defined via sex, race/ethnicity, socioeconomic status, population density, religious affiliation, and mental health.

Longitudinal predictors of children's self-blame appraisals among military families reported for family violence.

Background: Although children's self-blame appraisals are recognized as important sequelae of child victimization that contribute to subsequent adjustment problems, little is known about the factors that predict their development and longitudinal course.

Objective: The current study examines the stability and longitudinal predictors of children's self-blame appraisals among a sample of children reported for family violence.

Participants And Setting: Children (N = 195; 63 % female) aged 7 to 17 years (M = 12.

TargetRNA3: predicting prokaryotic RNA regulatory targets with machine learning.

Small regulatory RNAs pervade prokaryotes, with the best-studied family of these non-coding genes corresponding to trans-acting regulators that bind via base pairing to their message targets. Given the increasing frequency with which these genes are being identified, it is important that methods for illuminating their regulatory targets keep pace. Using a machine learning approach, we investigate thousands of interactions between small RNAs and their targets, and we interrogate more than a hundred features indicative of these interactions.

MLpronto: A tool for democratizing machine learning.

The democratization of machine learning is a popular and growing movement. In a world with a wealth of publicly available data, it is important that algorithms for analysis of data are accessible and usable by everyone. We present MLpronto, a system for machine learning analysis that is designed to be easy to use so as to facilitate engagement with machine learning algorithms.

The "what" and "how" of father-teen talks about sex and relationships.

For adolescents who have a father in their lives, father-teen conversations about sex and relationships can protect teens from risky sexual behaviors. However, little is known about the content and process of these conversations. This study explored topics of and approaches to fathers' talk with their teens about sex and relationships in interviews with a diverse sample of 43 fathers of high school-aged adolescents from across the United States.

Artificial intelligence for nailfold capillaroscopy analyses - a proof of concept application in juvenile dermatomyositis.

Background: Biomarkers for idiopathic inflammatory myopathies are difficult to identify and may involve expensive laboratory tests. We assess the potential for artificial intelligence (AI) to differentiate children with juvenile dermatomyositis (JDM) from healthy controls using nailfold capillaroscopy (NFC) images. We also assessed the potential of NFC images to reflect the range of disease activity with JDM.

Investigation into the performance and stability of immobilized and coated polysaccharide columns in supercritical fluid chromatography.

In this study, the performance of the widely used "golden four" coated chiral stationary phases (Chiralpak AD-3, Chiralcel OD-3, Chiralpak AS-3, and Chiralcel OJ-3) was compared with their corresponding immobilized versions (Chiralpak IA-3, Chiralpak IB-3, Chiralpak IB N-3, Chiralpak IH-3, and Chiralpak IJ-3) under supercritical fluid chromatography (SFC) conditions with a set of 30 racemic compounds. Using the traditional modifiers, methanol and isopropanol, the immobilized columns (Chiralpak IB N-3 and Chiralpak IH-3) showed an improved general ability to successfully resolve the enantiomers of the target analytes relative to their coated versions (Chiralcel OD-3 and Chiralpak AS-3), while the coated columns (Chiralpak AD-3, Chiralcel OD-3, and Chiralcel OJ-3) performed better than their immobilized versions (Chiralpak IA-3, Chiralpak IB-3, and Chiralpak IJ-3). An investigation of the non-traditional modifiers, dichloromethane, ethyl acetate, and tetrahydrofuran with immobilized columns, revealed a generally decreased ability to successfully resolve the enantiomers of the target analytes, relative to the use of the traditional modifiers, methanol and isopropanol.

BigSMARTS: A Topologically Aware Query Language and Substructure Search Algorithm for Polymer Chemical Structures.

Molecular search is important in chemistry, biology, and informatics for identifying molecular structures within large data sets, improving knowledge discovery and innovation, and making chemical data FAIR (findable, accessible, interoperable, reusable). Search algorithms for polymers are significantly less developed than those for small molecules because polymer search relies on searching by polymer name, which can be challenging because polymer naming is overly broad (i.e.

modulates exopolysaccharide polymer length and the dynamics of biofilm development with a β-1,4-endoglucanase.

It is well established that exopolysaccharide (EPS) is an integral structural component of bacterial biofilms necessary for assembly and maintenance of the three-dimensional architecture of the biofilm. However, the process and role of EPS turnover within a developing biofilm is not fully understood. Here, we demonstrated that uses a self-produced endoglucanase to enzymatically process its own EPS to modulate EPS polymer length.

An online research immersion program to increase introductory science student confidence and science identity.

The number of undergraduate students from underrepresented backgrounds enrolled in science and technology-related courses has increased over the past 20 years, but these students' persistence in STEM majors until graduation still lags behind the overall college population. Interventions like exposure to independent research, instruction using active learning, and connection within a scientific community have been shown to increase persistence and the development of science identity, especially for underrepresented minority students (URM), students with high financial need, and first-generation college students. However, exposure to research for introductory students can be expensive or challenging for an institution to provide and for some students to access.

Electrostatics-Based Computational Design and Experimental Analysis of Buforin II Antimicrobial Peptide Variants with Increased DNA Affinities.

Antimicrobial peptides (AMPs) are promising alternatives to traditional antibiotics in the treatment of bacterial infections in part due to their targeting of generic bacterial structures that make it more difficult to develop drug resistance. In this study, we introduce and implement a design workflow to develop more potent AMPs by improving their electrostatic interactions with DNA, which is a putative intracellular target. Using the existing membrane-translocating AMP buforin II (BF2) as a starting point, we use a computational workflow that integrates electrostatic charge optimization, continuum electrostatics, and molecular dynamics simulations to suggest peptide positions at which a neutral BF2 residue could be substituted with arginine to increase DNA-binding affinity either significantly or minimally, with the latter choice done to determine whether AMP binding affinity depends on charge distribution and not just overall monopole.

Electrophysiological Signatures of Visual Recognition Memory across All Layers of Mouse V1.

In mouse primary visual cortex (V1), familiar stimuli evoke significantly altered responses when compared with novel stimuli. This stimulus-selective response plasticity (SRP) was described originally as an increase in the magnitude of visual evoked potentials (VEPs) elicited in layer 4 (L4) by familiar phase-reversing grating stimuli. SRP is dependent on NMDA receptors (NMDARs) and has been hypothesized to reflect potentiation of thalamocortical (TC) synapses in L4.

Face perception and facial emotional expression recognition ability: Both unique predictors of the broader autism phenotype.

Autism spectrum disorder (ASD) and the broader autistic phenotype (BAP) have been suggested to be associated with perceptual-cognitive difficulties processing human faces. However, the empirical results are mixed, arguably, in part due to inadequate samples and analyses. Consequently, we administered the Cambridge Face Perception Test (CFPT), the Reading the Mind in the Eyes Test (RMET), a vocabulary test, and the Autism Quotient (AQ) to a sample of 318 adults in the general community.

Muscle power production during intermittent swimming in bluegill sunfish.

Locomotion is essential for the survival and fitness of animals. Fishes have evolved a variety of mechanisms to minimize the cost of transport. For instance, bluegill sunfish have recently been shown to employ intermittent swimming in nature and in laboratory conditions.

Developing Scientific Communication Skills Using Primary Literature in an Undergraduate Cell Biology Course.

Being able to communicate scientifically is an important skill for students graduating with a science degree. Skills used in future graduate school and careers for science majors include oral and written communication, as well as science literacy and being able to create figures to display information. There is a consensus that these skills should be taught throughout an undergraduate science curriculum; however, many instructors have cited insufficient time to cover skills and develop materials to effectively incorporate these skills, especially into lower-level content-focused courses.

Species redistribution creates unequal outcomes for multispecies fisheries under projected climate change.

Climate change drives species distribution shifts, affecting the availability of resources people rely upon for food and livelihoods. These impacts are complex, manifest at local scales, and have diverse effects across multiple species. However, for wild capture fisheries, current understanding is dominated by predictions for individual species at coarse spatial scales.

An Undergraduate Laboratory Series Using That Prepares Students for Independent Inquiry.

Undergraduate neuroscience laboratories provide valuable opportunities for students to learn about neurobiological systems through active learning. () is a valuable model for teaching students how to use a reductionist approach to neuroscientific inquiry. This series of lab modules trains students to utilize foundational laboratory techniques such as worm handling and maintenance, fluorescence imaging, behavioral assays, and Western blot.