Making waves: Unraveling microplastic deposition in rivers through the lens of sedimentary processes.

River networks are the major pathways for microplastic (MP) transport from terrestrial environments to oceans. It is essential to understand where MPs reside and how they move along river networks because of their potential to negatively impact ecosystems. However, the ability to quantify the water-sediment exchange of MPs, locations of deposition, and the time scales over which burial occurs is limited.

Roadmap on computational methods in optical imaging and holography [invited].

Unlabelled: Computational methods have been established as cornerstones in optical imaging and holography in recent years. Every year, the dependence of optical imaging and holography on computational methods is increasing significantly to the extent that optical methods and components are being completely and efficiently replaced with computational methods at low cost. This roadmap reviews the current scenario in four major areas namely incoherent digital holography, quantitative phase imaging, imaging through scattering layers, and super-resolution imaging.

Unravelling large-scale patterns and drivers of biodiversity in dry rivers.

More than half of the world's rivers dry up periodically, but our understanding of the biological communities in dry riverbeds remains limited. Specifically, the roles of dispersal, environmental filtering and biotic interactions in driving biodiversity in dry rivers are poorly understood. Here, we conduct a large-scale coordinated survey of patterns and drivers of biodiversity in dry riverbeds.

Music therapy and weight gain in preterm infants: Secondary analysis of the randomized controlled LongSTEP trial.

Objectives: This study assessed the association between MT and weight gain among preterm infants hospitalized in Neonatal Intensive Care Units.

Methods: Data collected during the international, randomized, Longitudinal Study of Music Therapy's Effectiveness for Premature Infants and their Caregivers (LongSTEP) study were compared between the MT group and the standard care (SC) group. Weights were recorded at birth, enrollment, and discharge.

Exploring the influence of sediment motion on microplastic deposition in streambeds.

Microplastics (MP) of all sizes and densities have been found deposited in streambeds. Several delivery processes were proposed to explain these observations. However, none of the previous studies explored these processes systematically, especially in cases of streambeds made of fine sediments that are regularly in motion.

Bloody Amniotic Fluid and Neonatal Outcomes.

Information on the effect of bloody amniotic fluid during labor at term is scarce. This study assessed risk factors and adverse outcomes in labors with bloody amniotic fluid. During the six years of this study, all nulliparas in our institution, with a trial of labor, were included.

Imaging inside highly scattering media using hybrid deep learning and analytical algorithm.

Imaging through highly scattering media is a challenging problem with numerous applications in biomedical and remote-sensing fields. Existing methods that use analytical or deep learning tools are limited by simplified forward models or a requirement for prior physical knowledge, resulting in blurry images or a need for large training databases. To address these limitations, we propose a hybrid scheme called Hybrid-DOT that combines analytically derived image estimates with a deep learning network.

Machine Learning Diffuse Optical Tomography Using Extreme Gradient Boosting and Genetic Programming.

Diffuse optical tomography (DOT) is a non-invasive method for detecting breast cancer; however, it struggles to produce high-quality images due to the complexity of scattered light and the limitations of traditional image reconstruction algorithms. These algorithms can be affected by boundary conditions and have a low imaging accuracy, a shallow imaging depth, a long computation time, and a high signal-to-noise ratio. However, machine learning can potentially improve the performance of DOT by being better equipped to solve inverse problems, perform regression, classify medical images, and reconstruct biomedical images.

Mental health consequences of the COVID-19 pandemic: Results from a large-scale population-based study in Israel.

Introduction: Contemporary evidence notes the COVID-19 pandemic greatly impacted the utilization of physical and mental health services worldwide. The present study was therefore designed to evaluate the changes in the utilization of mental health services during the first year of the COVID-19 pandemic compared to previous years as well as to estimate the moderating role age had on these changes.

Materials And Methods: Psychiatric data was collected from n = 928,044 individuals living in Israel.

Impact of Thin Meconium on Delivery and Early Neonatal Outcomes.

Several reports regarding the effects of thin meconium on maternal and neonatal outcomes are contradictory. This study evaluated the risk factors and obstetrical outcomes during deliveries complicated with thin meconium. This retrospective cohort study included all women with a singleton pregnancy, who underwent trial of labor >24 weeks of gestation, in a single tertiary center, over a six-year period.

Risk factors for postpartum depression among sexual minority and heterosexual parents.

Objective: Postpartum depression (PPD), a major depressive episode with postpartum onset, develops in 15% of mothers. Although findings suggest sexual minority parents may be at risk for PPD, research among this population is scarce. We evaluated risk factors for PPD in a sample of sexual minority and heterosexual parents.

Communication Systems Performance at mm and THz as a Function of a Rain Rate Probability Density Function Model.

6G is already being planned and will employ much higher frequencies, leading to a revolutionary era in communication between people as well as things. It is well known that weather, especially rain, can cause increased attenuation of signal transmission for higher frequencies. The standard methods for evaluating the effect of rain on symbol error rate are based on long-term averaging.