Evaluation Of Rocker Sole Shapes For Rigid Ankle Foot Orthoses

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With Federal Moratorium Expiring, 15 Million People at Risk of Eviction

Nationwide, renters are recovering from an unprecedented economic crisis. With vaccines widely accessible, employment rising, and federal and state benefits available to millions of people, many of the over 100 million people living in rental housing are making a gradual recovery. Despite this progress, a meaningful percentage of renters are on the precipice of eviction, displacement, and homelessness. More than 15 million people live in households that are currently behind on their rental payments (7.4 million adults, 6.5 million households), which places them at legal risk of eviction. According to one estimate, these households collectively owe more than $20 billion to their landlords. On a per tenant basis, average debt owed to landlords exceeds$3,000, with significant variation based on time away from work, family needs, and other factors.When the Centers for Disease Control and Prevention (CDC) eviction moratorium ends on July 31st, these renters may face eviction, civil lawsuits for unpaid rent, and aggressive debt collection—crises that will continue to cause harm years into the future. Nearly 50% of those who are behind on rent anticipate that they will be evicted in the next two months. The threat of eviction is particularly acute for renters of color. Currently, 22% of Black renters and 17% of Latinx renters are in debt to their landlords, compared to 15% overall and 11% of White renters. Rental debt is also challenging for renters with children, with 19% unable to make payments.This report highlights the current number of people at risk of eviction as the federal moratorium expires, how we got here, and policies states can implement to help prevent a wave of evictions from cascading into long-term health and financial crises for millions of households

Association between early treatment of multiple sclerosis and patient-reported outcomes: a nationwide observational cohort study

Background Timing of disease-modifying therapy affects clinical disability in multiple sclerosis, but it is not known whether patient reported outcomes are also affected. This study investigates the relationship between treatment timing and patient-reported symptoms and health-related quality of life. Methods This was a nationwide observational cohort study of adults with relapsing multiple sclerosis, with disease onset between 2001 and 2016, and commenced on disease-modifying treatment within 4 years from disease onset. Patients commencing treatment within 0–2 years were compared with patients commencing treatment at 2–4 years. Indication bias was mitigated by propensity matching. Outcomes were patient-reported symptoms and health-related quality of life as measured by the Multiple Sclerosis Impact Scale (MSIS-29) and EuroQol-5 Dimensions-3 Level (EQ-5D). The follow-up period was 4–10 years from disease onset. Results There were 2648 patients (69% female, median age 32.8) eligible for matching. Mean follow-up time was 3.7 years. Based on 780 matched patients, each year of treatment delay was associated with a worse MSIS physical score by 2.75 points (95% CI 1.29 to 4.20), and worse MSIS psychological score by 2.02 points (95% CI 0.03 to 3.78), in the adjusted models. Among 690 matched patients, earlier treatment start was not associated with EQ-5D score during the follow-up. Conclusions Earlier commencement of disease-modifying treatment was associated with better patient-reported physical symptoms when measured using a disease-specific metric; however, general quality of life was not affected. This indicates that other factors may inform patients’ overall quality of life

How many dimensions are required to find an adversarial example?

Past work exploring adversarial vulnerability have focused on situations where an adversary can perturb all dimensions of model input. On the other hand, a range of recent works consider the case where either (i) an adversary can perturb a limited number of input parameters or (ii) a subset of modalities in a multimodal problem. In both of these cases, adversarial examples are effectively constrained to a subspace $V$ in the ambient input space $\mathcal{X}$. Motivated by this, in this work we investigate how adversarial vulnerability depends on $\dim(V)$. In particular, we show that the adversarial success of standard PGD attacks with $\ell^p$ norm constraints behaves like a monotonically increasing function of $\epsilon (\frac{\dim(V)}{\dim \mathcal{X}})^{\frac{1}{q}}$ where $\epsilon$ is the perturbation budget and $\frac{1}{p} + \frac{1}{q} =1$, provided $p > 1$ (the case $p=1$ presents additional subtleties which we analyze in some detail). This functional form can be easily derived from a simple toy linear model, and as such our results land further credence to arguments that adversarial examples are endemic to locally linear models on high dimensional spaces.Comment: Comments welcome! V2: minor edits for clarit

Interpreting the Effect of Stimulus Parameters on the Electrically Evoked Compound Action Potential and on Neural Health Estimates

Abstract: Variations in the condition of the neural population along the length of the cochlea can degrade the spectral and temporal representation of sounds conveyed by CIs, thereby limiting speech perception. One measurement that has been proposed as an estimate of neural survival (the number of remaining functional neurons) or neural health (the health of those remaining neurons) is the effect of stimulation parameters, such as the interphase gap (IPG), on the amplitude growth function (AGF) of the electrically evoked compound action potential (ECAP). The extent to which such measures reflect neural factors, rather than non-neural factors (e.g. electrode orientation, electrode-modiolus distance, and impedance), depends crucially upon how the AGF data are analysed. However, there is currently no consensus in the literature for the correct method to interpret changes in the ECAP AGF due to changes in stimulation parameters. We present a simple theoretical model for the effect of IPG on ECAP AGFs, along with a re-analysis of both animal and human data that measured the IPG effect. Both the theoretical model and the re-analysis of the animal data suggest that the IPG effect on ECAP AGF slope (IPG slope effect), measured using either a linear or logarithmic input-output scale, does not successfully control for the effects of non-neural factors. Both the model and the data suggest that the appropriate method to estimate neural health is by measuring the IPG offset effect, defined as the dB offset between the linear portions of ECAP AGFs for two stimuli differing only in IPG

Interpreting the Effect of Stimulus Parameters on the Electrically Evoked Compound Action Potential and on Neural Health Estimates

Abstract: Variations in the condition of the neural population along the length of the cochlea can degrade the spectral and temporal representation of sounds conveyed by CIs, thereby limiting speech perception. One measurement that has been proposed as an estimate of neural survival (the number of remaining functional neurons) or neural health (the health of those remaining neurons) is the effect of stimulation parameters, such as the interphase gap (IPG), on the amplitude growth function (AGF) of the electrically evoked compound action potential (ECAP). The extent to which such measures reflect neural factors, rather than non-neural factors (e.g. electrode orientation, electrode-modiolus distance, and impedance), depends crucially upon how the AGF data are analysed. However, there is currently no consensus in the literature for the correct method to interpret changes in the ECAP AGF due to changes in stimulation parameters. We present a simple theoretical model for the effect of IPG on ECAP AGFs, along with a re-analysis of both animal and human data that measured the IPG effect. Both the theoretical model and the re-analysis of the animal data suggest that the IPG effect on ECAP AGF slope (IPG slope effect), measured using either a linear or logarithmic input-output scale, does not successfully control for the effects of non-neural factors. Both the model and the data suggest that the appropriate method to estimate neural health is by measuring the IPG offset effect, defined as the dB offset between the linear portions of ECAP AGFs for two stimuli differing only in IPG

Inspection of Used Fuel Dry Storage Casks

ABSTRACT The U.S. Nuclear Regulatory Commission (NRC) regulates the storage of used nuclear fuel, which is now and will be increasingly placed in dry storage systems. Since a final disposition pathway is not defined, the fuel is expected to be maintained in dry storage well beyond the time frame originally intended. Due to knowledge gaps regarding the viability of current dry storage systems for long term use, efforts are underway to acquire the technical knowledge and tools required to understand the issues and verify the integrity of the dry storage system components. This report summarizes the initial efforts performed by researchers at Idaho National Laboratory and Argonne National Laboratory to identify and evaluate approaches to in-situ inspection dry storage casks. This task is complicated by the design of the current storage systems that severely restrict access to the casks

A Search for Early Optical Emission from Short and Long Duration Gamma-ray Bursts

Gamma-ray bursts of short duration may harbor vital clues to the range of phenomena producing bursts. However, recent progress from the observation of optical counterparts has not benefitted the study of short bursts. We have searched for early optical emission from six gamma-ray bursts using the ROTSE-I telephoto array. Three of these events were of short duration, including GRB 980527 which is among the brightest short bursts yet observed. The data consist of unfiltered CCD optical images taken in response to BATSE triggers delivered via the GCN. For the first time, we have analyzed the entire 16 degree by 16 degree field covered for five of these bursts. In addition, we discuss a search for the optical counterpart to GRB 000201, a well-localized long burst. Single image sensitivities range from 13th to 14th magnitude around 10 s after the initial burst detection, and 14 - 15.8 one hour later. No new optical counterparts were discovered in this analysis suggesting short burst optical and gamma-ray fluxes are uncorrelated.Comment: 8 pages, 2 figures, subm. to ApJ Let