Drosophila models of neuronal injury

Neurite degeneration is a hallmark feature of nearly all neurodegenerative diseases, occurs after most brain trauma, and is thought to be the underlying cause of functional loss in patients. Understanding the genetic basis of neurite degeneration represents a major challenge in the neuroscience field. If it is possible to define key signaling pathways that promote neurite destruction, their blockade represents an exciting new potential therapeutic approach to suppressing neurological loss in patients. This review highlights recently developed models that can be used to study fundamental aspects of neuronal injury using the fruit fly Drosophila. The speed, precision, and powerful molecular-genetic tools available in the fruit fly make for an attractive system in which to dissect neuronal signaling after injury. Their use has led to the identification of some of the first molecules whose endogenous function includes promoting axonal degeneration after axotomy, and these signaling pathways appear functionally well conserved in mammals

Psychiatric symptoms in glioma patients: from diagnosis to management

Patients with primary intrinsic brain tumors can experience neurological, cognitive, and psychiatric symptoms that greatly affect daily life. In this review, we focus on changes in personality and behavior, mood issues, hallucinations, and psychosis, because these are either difficult to recognize, to treat, or are understudied in scientific literature. Neurobehavioral symptoms are common, often multiple, and causation can be multifactorial. Although different symptoms sometimes require a different treatment approach, we advise a comprehensive treatment approach, including pharmacological treatment and/or psychotherapy where appropriate. Further research is needed to obtain a better estimate of the prevalence of psychiatric symptoms in glioma patients, and the extent to which these affect everyday functioning and family life

Changes in Religious Giving Reflect Changes in Involvement: Age and Cohort Effects in Religious Giving, Secular Giving, and Attendance

We present two patterns over time in religious giving, secular giving, and religious service attendance. The first pattern describes the prewar cohort (born 1924–1938) as they aged between middle adulthood (ages 35–49) and their senior years (ages 62–76). The second pattern compares the baby boom cohort (born 1951–1965) in middle adulthood to the middle adulthood of the prewar cohort. We present patterns for all families as well as separately for Catholic and Protestant families using data from three sources. The prewar cohort increased their religious giving and attendance as they aged, but—compared to the prewar cohort in middle adulthood—baby boomers give less than expected to religion and attend less. Baby boomer giving is noticeably less-than-expected and attendance noticeably lower among Catholic boomers, but less so among Protestant boomers. We argue that together these patterns are evidence that changes in religious giving reflect changes in religious involvement

Phase ordering and roughening on growing films

We study the interplay between surface roughening and phase separation during the growth of binary films. Already in 1+1 dimension, we find a variety of different scaling behaviors depending on how the two phenomena are coupled. In the most interesting case, related to the advection of a passive scalar in a velocity field, nontrivial scaling exponents are obtained in simulations.Comment: 4 pages latex, 6 figure

Runoff and discharge pathways of microplastics into freshwater ecosystems: A systematic review and meta-analysis

Although many studies have focused on the importance of littering and (or) illegal dumping as a source of plastic pollution to freshwater, other relevant pathways should be considered, including wastewater, stormwater runoff, industrial effluent/runoff, and agricultural runoff. Here, we conducted a meta-analysis focused on these four pathways. We quantified the number of studies, amount and characteristics of microplastics reported, and the methods used to sample and measure microplastics from each pathway. Overall, we found 121 studies relevant to our criteria, published from 2014 to 2020. Of these, 54 (45%) quantified and characterized microplastics in discharge pathways. Although most focused on wastewater treatment plant effluent (85%), microplastic concentrations were highest in stormwater runoff (0.009 to 3862 particles/L). Morphologies of particles varied among pathways and sampling methods. For example, stormwater runoff was the only pathway with rubbery particles. When assessing methods, our analysis suggested that water filtered through a finer (\u3c200 um) mesh and of a smaller volume (e.g., 6 L) captured more particles, and with a slightly greater morphological diversity. Overall, our meta-analysis suggested that all four pathways bring microplastics into freshwater ecosystems, and further research is necessary to inform the best methods for monitoring and to better understand hydrologic patterns that can inform local mitigation

Characteristics of Two-Dimensional Quantum Turbulence in a Compressible Superfluid

Under suitable forcing a fluid exhibits turbulence, with characteristics strongly affected by the fluid's confining geometry. Here we study two-dimensional quantum turbulence in a highly oblate Bose-Einstein condensate in an annular trap. As a compressible quantum fluid, this system affords a rich phenomenology, allowing coupling between vortex and acoustic energy. Small-scale stirring generates an experimentally observed disordered vortex distribution that evolves into large-scale flow in the form of a persistent current. Numerical simulation of the experiment reveals additional characteristics of two-dimensional quantum turbulence: spontaneous clustering of same-circulation vortices, and an incompressible energy spectrum with $k^{-5/3}$ dependence for low wavenumbers $k$ and $k^{-3}$ dependence for high $k$.Comment: 7 pages, 7 figures. Reference [29] updated for v

HiReD: a high-resolution multi-window visualisation environment for cluster-driven displays

High-resolution, wall-size displays often rely on bespoke software for performing interactive data visualisation, leading to interface designs with little or no consistency between displays. This makes adoption for novice users difficult when migrating from desktop environments. However, desktop interface techniques (such as task- and menu- bars) do not scale well and so cannot be relied on to drive the design of large display interfaces. In this paper we present HiReD, a multi-window environment for cluster-driven displays. As well as describing the technical details of the system, we also describe a suite of low-precision interface techniques that aim to provide a familiar desktop environment to the user while overcoming the scalability issues of high-resolution displays. We hope that these techniques, as well as the implementation of HiReD itself, can encourage good practice in the design and development of future interfaces for high-resolution, wall-size displays