Associations of prenatal urinary melamine, melamine analogues, and aromatic amines with gestational duration and fetal growth in the ECHO Cohort.

Melamine, its analogues, and aromatic amines (AAs) were commonly detected in a previous study of pregnant women in the Environmental influences on Child Health Outcomes (ECHO) Cohort. While these chemicals have identified toxicities, little is known about their influences on fetal development. We measured these chemicals in gestational urine samples in 3 ECHO cohort sites to assess associations with birth outcomes (n = 1,231).

Strongly coordinating mediator enables single-step resource recovery from heavy metal-organic complexes in wastewater.

Heavy metals complexed with organic ligands are among the most critical carcinogens threatening global water safety. The challenge of efficiently and cost-effectively removing and recovering these metals has long eluded existing technologies. Here, we show a strategy of coordinating mediator-based electro-reduction (CMBER) for the single-step recovery of heavy metals from wastewater contaminated with heavy metal-organic complexes.

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.

Applications of mixed reality with medical imaging for training and clinical practice.

Purpose: This review summarizes the current use of extended reality (XR) including virtual reality (VR), mixed reality, and augmented reality (AR) in the medical field, ranging from medical imaging to training to preoperative planning. It covers the integration of these technologies into clinical practice and within medical training while discussing the challenges and future opportunities in this sphere. This will hopefully encourage more physicians to collaborate on integrating medicine and technology.

Testing the generalizability of minimal group attitudes in minority and majority race children.

The minimal group effect, in which people prefer ingroup members to outgroup members even when group membership is trivially constructed, has been studied extensively in psychological science. Despite a large body of literature on this phenomenon, concerns persist regarding previous developmental research populations that are small and lack racial/ethnic diversity. In addition, it remains unclear what role holding membership within and interacting with specific racial/ethnic groups plays in the development of children's group attitudes.

Machine Learning Boosted Entropy-Engineered Synthesis of CuCo Nanometric Solid Solution Alloys for Near-100% Nitrate-to-Ammonia Selectivity.

Nanometric solid solution alloys are utilized in a broad range of fields, including catalysis, energy storage, medical application, and sensor technology. Unfortunately, the synthesis of these alloys becomes increasingly challenging as the disparity between the metal elements grows, due to differences in atomic sizes, melting points, and chemical affinities. This study utilized a data-driven approach incorporating sample balancing enhancement techniques and multilayer perceptron (MLP) algorithms to improve the model's ability to handle imbalanced data, significantly boosting the efficiency of experimental parameter optimization.

The role of parents' and adolescents' critical reflection in the development of white youths' commitments to dismantling oppression.

Given the access that white youth have to privilege and power, it is important to understand how they might develop life goals related to dismantling multiple forms of oppression, which we term critical purpose. Parents may support their children's critical purpose via their own critical reflection (understanding of the root causes of disparities in society), which may be associated with their child's critical reflection. Structural equation models of two waves of data from 351 white youth showed an indirect relationship between parent critical reflection and youth critical purpose through youth critical reflection.

Physics-regularized neural networks for predictive modeling of silicon carbide swelling with limited experimental data.

This study introduces a physics-regularized neural network (PRNN) as a computational approach to predict silicon carbide's (SiC) swelling under irradiation, particularly at high temperatures. The PRNN model combines physics-based regularization with neural network methodologies to generalize the behavior of SiC, even in conditions beyond the traditional empirical model's valid range. This approach ensures continuity and accuracy in SiC behavior predictions in extreme environments.

Differences in Blood and Cerebrospinal Fluid Between Parkinson's Disease and Related Diseases.

It is difficult to distinguish Parkinson's disease (PD) in the early stage from those of various disorders including atypical Parkinson's syndrome (APS), vascular parkinsonism (VP), and even essential tremor (ET), because of the overlap of symptoms. Other, more challenging problems will arise when Parkinson's disease develops into Parkinson's disease dementia (PDD) in the middle and late stages. At this time, the differential diagnosis of PDD and DLB becomes thorny.

A New Caffeine Detection Method Using a Highly Multiplexed Smartphone-Based Spectrometer.

Smartphones equipped with highly integrated sensors are increasingly being recognized as powerful tools for rapid on-site testing. Here, we propose a low-cost, portable, and highly multiplexed smartphone-based spectrometer capable of collecting three types of spectra-transmission, reflection, and fluorescence-by simply replacing the optical fiber attached to the housing. Spectral analysis is performed directly on the smartphone using a custom-developed app.

Combining Group Contribution Method and Semisupervised Learning to Build Machine Learning Models for Predicting Hydroxyl Radical Rate Constants of Water Contaminants.

Machine learning is an effective tool for predicting reaction rate constants for many organic compounds with the hydroxyl radical (HO). Previously reported models have achieved relatively good performance, but due to scarce data (<1400 records), the applicability domain (AD) has been significantly limited. To address this limitation, we curated a much larger experimental data set (Primary data set), which contains 2358 kinetic records.

Targeted degradation of oncogenic KRASG12V triggers antitumor immunity in lung cancer models.

Kirsten rat sarcoma viral oncogene homolog (KRAS) is the most frequently mutated oncogene in lung adenocarcinoma, with G12C and G12V being the most predominant forms. Recent breakthroughs in KRASG12C inhibitors have transformed the clinical management of patients with the G12C mutation and advanced our understanding of the function of this mutation. However, little is known about the targeted disruption of KRASG12V, partly due to a lack of specific inhibitors.

Medial hypothalamic MC3R signalling regulates energy rheostasis in adult mice.

Although mammals resist both acute weight loss and weight gain, the neural circuitry mediating bi-directional defense against weight change is incompletely understood. Global constitutive deletion of the melanocortin-3-receptor (MC3R) impairs the behavioural response to both anorexic and orexigenic stimuli, with MC3R knockout mice demonstrating increased weight gain following anabolic challenges and increased weight loss following anorexic challenges (i.e.

Insecticide application prevents honey bees from realizing benefits of native forage in an agricultural landscape.

Health and population status of bees is negatively affected by anthropogenic stressors, many of which co-occur in agricultural settings. While pollinator habitat (often involving plantings of native forbs) holds promise to benefit both managed and wild bees, important issues remain unresolved. These include whether conventional, broad-spectrum insecticide use negates these benefits and how non-native, managed honey bees affect wild bees in these areas.

Transcriptional Reprogramming Deploys a Compartmentalized 'Timebomb' in Catharanthus roseus to Fend Off Chewing Herbivores.

The evolutionary arms race between plants and insects has led to key adaptive innovations that drive diversification. Alkaloids are well-documented anti-herbivory compounds in plant chemical defences, but how these specialized metabolites are allocated to cope with both biotic and abiotic stresses concomitantly is largely unknown. To examine how plants prioritize their metabolic resources responding to herbivory and cold, we integrated dietary toxicity bioassay in insects with co-expression analysis, hierarchical clustering, promoter assay, and protein-protein interaction in plants.

A Versatile Drift-Free Super-Resolution Imaging Method via Oblique Bright-Field Correlation.

High-resolution optical microscopy, particularly super-resolution localization microscopy, requires precise real-time drift correction to maintain constant focus at nanoscale precision during the prolonged data acquisition. Existing methods, such as fiducial marker tracking, reflection monitoring, and bright-field image correlation, each provide certain advantages but are limited in their broad applicability. In this work, a versatile and robust drift correction technique is presented for single-molecule localization-based super-resolution microscopy.

Evidence on sex differences in sports performance.

Sex differences in sports performances continue to attract considerable scientific and public attention, driven in part by high profile cases of: ) biological male (XY) athletes who seek to compete in the female category after gender transition, and ) XY athletes with medical syndromes collectively known as disorders or differences of sex development (DSDs). In this perspective, we highlight scientific evidence that informs eligibility criteria and applicable regulations for sex categories in sports. There are profound sex differences in human performance in athletic events determined by strength, speed, power, endurance, and body size such that males outperform females.

Physical activity patterns in adolescents: A longitudinal study.

The present study aimed at describing and comparing the physical activity (PA) patterns of adolescents from a middle-income country over a 4-year period. This is a longitudinal observational study (four waves of data collection, 2014-2017) with 668 adolescents aged 10-13 years in 2014 (mean age of 11.8 ± 0.

To label or not: the need for validation in label-free imaging.

Significance: Advances in label-free imaging have impacted many areas of biological and biomedical imaging ranging from cell biology and cancer to pathology and neuroscience. Despite the great progress and advantages of these methods, it is clear that to realize their full potential, validation by extrinsic labels and probes is critically needed.

Aim: This perspective calls for developing and applying innovative labels and probes to validate both existing and emerging label-free imaging methods.

A Critical Perspective on Photothermal De-Icing.

To tackle the formidable challenges posed by extreme cold weather events, significant advancements have been made in developing functional surfaces capable of efficiently removing accreted ice. Nevertheless, many of these surfaces still require external energy input, such as electrical power, which raises concerns regarding their alignment with global sustainability goals. Over the past decade, increasing attention has been directed toward photothermal surface designs that harness solar energy-a resource available on Earth in quantities exceeding the total reserves of coal and oil combined.

Health action process approach and spinal cord injury: a scoping review.

Purpose: Spinal cord injury may result in chronic pain, difficulty walking and breathing, and/or paralysis. People with spinal cord injury (PwSCI) experience increased risk for chronic diseases and psychosocial distress (e.g.

A post-pandemic snapshot of the magnitude of COVID-19 in Brazil: A countrywide study.

Objective: To outline the features of COVID-19 in Brazil through a countrywide telephone survey.

Methods: Data from the Telephone Survey of Risk Factors for Chronic Noncommunicable Diseases During the Pandemic (Covitel), a telephone survey of individuals aged 18 years or older from all macro-regions of Brazil, were used. The questionnaire included sociodemographic characteristics and outcomes related to COVID-19 infection, severity, vaccination, and use of masks.

Pregnancy and age differentially affect stiffness, injury susceptibility, and composition of murine uterosacral ligaments.

Pelvic organ prolapse is a debilitating condition that diminishes quality of life, and it has been linked to pregnancy and aging. Injury of the uterosacral ligaments (USLs), which provide apical support to the pelvic organs, is a major cause of uterine prolapse. In this study, we examined the effect of pregnancy and age on the apparent elastic modulus, susceptibility to collagen damage, and extracellular matrix (ECM) composition of the murine USL.

Variation in brain aging: A review and perspective on the utility of individualized approaches to the study of functional networks in aging.

Healthy aging is associated with cognitive decline across multiple domains, including executive function, memory, and attention. These cognitive changes can often influence an individual's ability to function and quality of life. However, the degree to which individuals experience cognitive decline, as well as the trajectory of these changes, exhibits wide variability across people.