Any space left? Homeless resistance by place-type in Los Angeles County

This study develops a more nuanced concept of homeless resistance, incorporating a range of resistance behaviors (exit, adaptation, persistence, and voice) that bridge the gap between current frameworks that either romanticize or ignore it. We also consider the possibility that different kinds of space may theoretically allow for different kinds of resistance. To this end, we employ an ecological approach to homeless space by classifying Los Angeles County into three place-types (prime, transitional, and marginal). We empirically consider the issue of resistance within the hardening context among a group of 25 homeless informants, focusing on whether and how some of them have exercised their voices and sought to ameliorate one or more aspects of their situation, as well as how resistance may vary by place-type

Neighborhoods of Refuge: Faculty -Student-Community Research on Homelessness Slides

Matthew D. Marr\u27s slides for his project Neighborhoods of Refuge: Faculty -Student-Community Research on Homelessnes

Neighborhoods of Refuge: Faculty -Student-Community Research on Homelessness Proposal

Matthew D. Marr\u27s proposal shares his effective community research project with FIU, Miami-Dade College, and Camillus House. Through GIS mapping and qualitative research (PhotoVoice and interviews), the project highlights the role of neighborhoods in addressing homelessness

How Do We Build Community Resilience to Disasters in a Changing Climate? A review of interventions to improve and measure public health outcomes in the Northeastern United States

Climate change-related natural disasters, including wildfires and extreme weather events, such as intense storms, floods, and heatwaves, are increasing in frequency and intensity. These events are already profoundly affecting human health in the Northeastern United States and globally, challenging the ability of communities to prepare, respond, and recover. This paper examines the peer-reviewed literature on community resilience interventions and metrics that may apply to the Northeastern region of the United States. The overarching goal of this document is to inform local public health practitioners and planners about the availability of evidence-based strategies to strengthen and measure community resilience to climate change-related disasters. We were interested in metrics that were derived from publicly available data sources and that were developed for use by communities at a local scale, and accessible to more modestly resourced municipalities and county health agencies. We searched the literature for papers describing the strategies employed to increase community resilience and the metrics used to measure resilience as an outcome of those strategies. Specifically, we looked for those strategies or interventions that aimed to meet the U.S. Centers for Disease Control’s standards for building community resilience as part of reaching the United States’ National Preparedness Goal. Our search revealed 205 articles on community resilience in the Northeast: of those, five described evidence-based strategies. This paper discusses the five selected strategies, their applicability at a local public health level, and the metrics used to measure the extent to which community resilience had been strengthened. The paper shares two relevant case studies: 1) in Los Angeles County, to demonstrate the use of metrics in a multi-year community resilience intervention; and 2) in New Hampshire, to show how an intervention emerged through the development of a climate and health adaptation plan. We recommend the COAST project, COPEWELL Rubric for self-assessment, and Ready CDC intervention as examples of strategies that could be adapted by any community engaged in building community resilience

Local and global Fokker-Planck neoclassical calculations showing flow and bootstrap current modification in a pedestal

In transport barriers, particularly H-mode edge pedestals, radial scale lengths can become comparable to the ion orbit width, causing neoclassical physics to become radially nonlocal. In this work, the resulting changes to neoclassical flow and current are examined both analytically and numerically. Steep density gradients are considered, with scale lengths comparable to the poloidal ion gyroradius, together with strong radial electric fields sufficient to electrostatically confine the ions. Attention is restricted to relatively weak ion temperature gradients (but permitting arbitrary electron temperature gradients), since in this limit a delta-f (small departures from a Maxwellian distribution) rather than full-f approach is justified. This assumption is in fact consistent with measured inter-ELM H-Mode edge pedestal density and ion temperature profiles in many present experiments, and is expected to be increasingly valid in future lower collisionality experiments. In the numerical analysis, the distribution function and Rosenbluth potentials are solved for simultaneously, allowing use of the exact field term in the linearized Fokker-Planck collision operator. In the pedestal, the parallel and poloidal flows are found to deviate strongly from the best available conventional neoclassical prediction, with large poloidal variation of a different form than in the local theory. These predicted effects may be observable experimentally. In the local limit, the Sauter bootstrap current formulae appear accurate at low collisionality, but they can overestimate the bootstrap current near the plateau regime. In the pedestal ordering, ion contributions to the bootstrap and Pfirsch-Schluter currents are also modified

A Role for Drosophila dFoxO and dFoxO 5′UTR Internal Ribosomal Entry Sites during Fasting

One way animals may cope with nutrient deprivation is to broadly repress translation by inhibiting 5′-cap initiation. However, under these conditions specific proteins remain essential to survival during fasting. Such peptides may be translated through initiation at 5′UTR Internal Ribosome Entry Sites (IRES). Here we show that the Drosophila melanogaster Forkhead box type O (dFoxO) transcription factor is required for adult survival during fasting, and that the 5′UTR of dfoxO has the ability to initiate IRES-mediated translation in cell culture. Previous work has shown that insulin negatively regulates dFoxO through AKT-mediated phosphorylation while dFoxO itself induces transcription of the insulin receptor dInR, which also harbors IRES. Here we report that IRES-mediated translation of both dFoxO and dInR is activated in fasted Drosophila S2 cells at a time when cap-dependent translation is reduced. IRES mediated translation of dFoxO and dInR may be essential to ensure function and sensitivity of the insulin signaling pathway during fasting

Task and spatial frequency modulations of object processing: an EEG study.

Visual object processing may follow a coarse-to-fine sequence imposed by fast processing of low spatial frequencies (LSF) and slow processing of high spatial frequencies (HSF). Objects can be categorized at varying levels of specificity: the superordinate (e.g. animal), the basic (e.g. dog), or the subordinate (e.g. Border Collie). We tested whether superordinate and more specific categorization depend on different spatial frequency ranges, and whether any such dependencies might be revealed by or influence signals recorded using EEG. We used event-related potentials (ERPs) and time-frequency (TF) analysis to examine the time course of object processing while participants performed either a grammatical gender-classification task (which generally forces basic-level categorization) or a living/non-living judgement (superordinate categorization) on everyday, real-life objects. Objects were filtered to contain only HSF or LSF. We found a greater positivity and greater negativity for HSF than for LSF pictures in the P1 and N1 respectively, but no effects of task on either component. A later, fronto-central negativity (N350) was more negative in the gender-classification task than the superordinate categorization task, which may indicate that this component relates to semantic or syntactic processing. We found no significant effects of task or spatial frequency on evoked or total gamma band responses. Our results demonstrate early differences in processing of HSF and LSF content that were not modulated by categorization task, with later responses reflecting such higher-level cognitive factors

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead