Expanding first-line options for depression: Protocol of a pragmatic comparative effectiveness trial of yoga vs. behavioral activation (the COMPARE study).

Depression is a prevalent mental health condition in the United States and a significant cause of morbidity and mortality. The treatment guidelines for depression recommends either psychotherapy, such as behavioral activation (BA), or a second-generation antidepressant as a first-line treatment for adult patients with depression. However, many individuals with depression do not experience improvement from first-line treatments or choose not to engage in them due to stigma, cost, difficulty with access, and/or side effects.

The geographic scale of population-level variation in growth and nodulation differs for two species of prairie clover.

Premise: Prairies are among the most threatened biomes due to changing patterns of climate and land use, yet information on genetic variation in key species that would inform conservation is often limited. We assessed evidence for the geographic scale of population-level variation in growth of two species of prairie clover and of their symbiotic associations with nitrogen-fixing bacteria.

Methods: Seed representing two species, Dalea candida and D.

Preschool Children's Science Learning: Instructional Approaches and Individual Differences.

Research Findings: Early science skills predict later science achievement, and persistent achievement gaps in science appear as early as preschool. The current study compared the effectiveness of different instructional approaches for teaching preschoolers about sinking and floating and examined individual differences in learning. Participants were typically developing 4-5-year-olds (=93; 47% female).

Adaptive Measurement of Change in the Context of Item Parameter Drift.

Adaptive measurement of change (AMC) uses computerized adaptive testing (CAT) to measure and test the significance of intraindividual change on one or more latent traits. The extant AMC research has so far assumed that item parameter values are constant across testing occasions. Yet item parameters might change over time, a phenomenon termed item parameter drift (IPD).

Comparative effectiveness of school-based obesity prevention programs for children and adolescents: a systematic review and network meta-analysis.

Introduction: While many randomized controlled trials (RCTs) have demonstrated the positive effects of school-based programs in reducing body fat among children and teenagers, there is no conclusive evidence to indicate that one approach is superior to another, largely due to the lack of direct and indirect comparisons. This study evaluated the relative effectiveness of various school-based obesity prevention initiatives in improving body mass index (BMI) among children and adolescents using network meta-analysis.

Methods: Searches included four databases focusing on articles published in English between the years 2002 and 2024.

A machine learning approach identifies cellular senescence on transcriptome data of human cells in vitro.

Although cellular senescence has been recognized as a hallmark of aging, it is challenging to detect senescence cells (SnCs) due to their high level of heterogeneity at the molecular level. Machine learning (ML) is likely an ideal approach to address this challenge because of its ability to recognize complex patterns that cannot be characterized by one or a few features, from high-dimensional data. To test this, we evaluated the performance of four ML algorithms including support vector machines (SVM), random forest (RF), decision tree (DT), and Soft Independent Modelling of Class Analogy (SIMCA), in distinguishing SnCs from controls based on bulk RNA sequencing data.

Widening Racial Disparities in the U.S. Overdose Epidemic.

Introduction: More Americans died in 2021 from drug overdose than from vehicle accidents and firearms combined. Unlike earlier phases, the current epidemic is marked by its disproportionate impact on communities of color. This report investigates regional and substance-specific variations in racial disparities to generate possible insights into the various forces shaping these trends.

Cognitive abilities are associated with rapid dynamics of electrophysiological connectome states.

Time-varying changes in whole-brain connectivity patterns, or connectome state dynamics, hold significant implications for cognition. However, connectome dynamics at fast (>1 Hz) timescales highly relevant to cognition are poorly understood due to the dominance of inherently slow fMRI in connectome studies. Here, we investigated the behavioral significance of rapid electrophysiological connectome dynamics using source-localized EEG connectomes during resting state ( = 926, 473 females).

Rapid dynamics of electrophysiological connectome states are heritable.

Time-varying changes in whole-brain connectivity patterns, or connectome state dynamics, are a prominent feature of brain activity with broad functional implications. While infraslow (<0.1 Hz) connectome dynamics have been extensively studied with fMRI, rapid dynamics highly relevant for cognition are poorly understood.

Unraveling the Growth Dynamics of Rutile SnGeO Using Theory and Experiment.

Rutile GeO and related materials are attracting interest due to their ultrawide band gaps and potential for ambipolar doping in high-power electronic applications. This study examines the growth of rutile SnGeO films through oxygen-plasma-assisted hybrid molecular beam epitaxy (hMBE). The film composition and thickness are evaluated across a range of growth conditions, with the outcomes rationalized by using density functional theory calculations.

Inhibition mechanism of leukemia cells HL-60 by exopolysaccharides from Botryococcus braunii in response to high-concentration cobalt.

The influence of metal elements on the biomedical activity of microalgal exopolysaccharides (EPS) remains underexplored. This study examined the antitumor properties of Botryococcus braunii EPS under high cobalt conditions and the role of exogenous 3-indole acetic acid (IAA) in enhancing its activity. Results showed that IAA mitigated cobalt-induced inhibition of B.

Pooled Nanoparticle Screening Using a Chemical Barcoding Approach.

We report the development of a small molecule-based barcoding platform for pooled screening of nanoparticle delivery. Using aryl halide-based tags (halocodes), we achieve high-sensitivity detection via gas chromatography coupled with mass spectrometry or electron capture. This enables barcoding and tracking of nanoparticles with minimal halocode concentrations and without altering their physicochemical properties.

Framing resilience linked to parental ethnic-racial socialization as hidden: A hidden resilience conceptual framework.

Parental ethnic-racial socialization is a source of adolescents' resilience against ethnic-racial discrimination. Recent meta-analyses have documented the aspects of ethnic-racial socialization (i.e.

Design of allosteric modulators that change GPCR G protein subtype selectivity.

G protein-coupled receptors (GPCRs), the largest family of drug targets, can signal through 16 subtypes of Gα proteins. Biased compounds that selectively activate therapy-relevant pathways promise to be safer, more effective medications. The determinants of bias are poorly understood, however, and rationally-designed, G protein-subtype-selective compounds are lacking.

HeatGSNs: Integrating Eigenfilters and Low-Pass Graph Heat Kernels into Graph Spectral Convolutional Networks for Brain Tumor Segmentation and Classification.

Recent studies on graph representation learning in brain tumor learning tasks have garnered significant interest by encoding and learning inherent relationships among the geometric features of tumors. There are serious class imbalance problems that occur on brain tumor MRI datasets. Impressive deep learning models like CNN- and Transformer-based can easily address this problem through their complex model architectures with large parameters.

Expression-Dependent Tumor Pretargeting via Engineered Avidity.

Selective delivery of therapeutic modalities to tumor cells via binding of tumor-selective cell-surface biomarkers has empowered substantial advances in cancer treatment. Yet, tumor cells generally lack a truly specific biomarker that is present in high density on tumor tissue while being completely absent from healthy tissue. Rather, low but nonzero expression in healthy tissues results in on-target, off-tumor activity with detrimental side effects that constrain the therapeutic window or prevent use altogether.

ADAR1 is required for acute myeloid leukemia cell survival by modulating post-transcriptional Wnt signaling through impairing miRNA biogenesis.

Recent extensive studies on the genomic and molecular profiles of acute myeloid leukemia (AML) have expanded the treatment options, including, a range of compounds represented by fms-like tyrosine kinase 3 and isocitrate dehydrogenase 1/2 inhibitors. However, despite this progress, further treatments for AML are still required. Adenosine deaminase acting on RNA 1 (ADAR1) has been shown to play an important oncogenic role in many cancers, but its involvement in AML progression remains underexplored.

Physical and Psychosocial Consequences of Falls in Ambulatory Individuals With Cerebral Palsy by Age and Gross Motor Function.

Objective: To quantify physical and psychosocial impacts of falls by age and Gross Motor Classification System (GMFCS) level in ambulatory individuals with cerebral palsy (CP).

Design: Cross-sectional survey.

Setting: Tertiary specialty hospital and online CP communities.

The Hybrid History of Zebrafish.

Since the description of zebrafish (Danio rerio) in 1822, the identity of its closest living relative has been unclear. To address this problem, we sequenced the exomes of ten species in genus Danio, using the closely related Devario aequipinnatus as outgroup, to infer relationships across the 25 chromosomes of the zebrafish genome. The majority of relationships within Danio were remarkably consistent across all chromosomes.

Interfacial charge transfer and its impact on transport properties of LaNiO/LaFeO superlattices.

Charge transfer or redistribution at oxide heterointerfaces is a critical phenomenon, often leading to remarkable properties such as two-dimensional electron gas and interfacial ferromagnetism. Despite studies on LaNiO/LaFeO superlattices and heterostructures, the direction and magnitude of the charge transfer remain debated, with some suggesting no charge transfer due to the high stability of Fe (3d). Here, we synthesized a series of epitaxial LaNiO/LaFeO superlattices and demonstrated partial (up to ~0.

Toward characterization of perceptual specialization for faces in Multiracial contexts.

This conceptual analysis focuses on opportunities to advance research and current hypotheses of perceptual development by examining what is presently known and unknown about perceptual specialization in a Multiracial context during the first year of life. The impact of being raised in a Multiracial family or community is discussed to further characterize the development of perceptual expertise for faces and languages. Historical and present-day challenges faced by researchers in defining what race is, identifying Multiracial individuals or contexts, and how to study perceptual and cognitive processes in this population are discussed.

Conceptual Framework for African American Kinship Caregiver's Susceptibility to Alzheimer's Disease.

Kinship caregivers (e.g., grandparents raising grandchildren) have been increasing over the last several decades.

Syntactic Growth of Adolescent Boys With Fragile X Syndrome or Down Syndrome: A Longitudinal Study.

Purpose: The current study addresses a gap in the literature regarding syntactic development of adolescent boys with fragile X syndrome (FXS) and Down syndrome (DS). Specifically, we ask whether syntactic skills plateau or continue to change during adolescence for these groups and whether the profile of syntactic change differs between boys with FXS and those with DS.

Method: Participants were 38 boys with FXS (with and without autism) and 20 boys with DS between the ages of 10 and 16 years, as well as 33 boys who were neurotypical between the ages of 3 and 8 years at study entry.

Objectively Measured Physical Activity Using Wrist-Worn Accelerometers as a Predictor of Incident Alzheimer's Disease in the UK Biobank.

Background: Alzheimer's disease (AD) affects over 6 million people and is the seventh-leading cause of death in the United States. This study compares wrist-worn accelerometry-derived PA measures against traditional risk factors for incident AD in the UK Biobank.

Methods: Of 42 157 UK Biobank participants 65 years and older who had accelerometry data and no prior AD diagnosis, 157 developed AD by April 1, 2021 (264 988 person-years or on average 6.