Fergusonmcmahon4527

Models of auditory nerve fiber (ANF) responses to electrical stimulation are helpful to develop advanced coding for cochlear implants (CIs). A phenomenological model of ANF population responses to CI electrical stimulation with a lower computational complexity compared to a biophysical model would be beneficial to evaluate new CI coding strategies.

This study presents a phenomenological model which combines four temporal characteristics of ANFs (refractoriness, facilitation, accommodation and spike rate adaptation) in addition to a spatial spread of the electric field.

The model predicts the performances of CI subjects in the melodic contour identification (MCI) experiment. The simulations for the MCI experiment were consistent with CI recipients' experimental outcomes that were not predictable from the electrical stimulation patterns themselves.

Previously, no phenomenological population model of ANFs has combined all four aforementioned temporal phenomena.

The proposed model would help the further investigations of ANFs responses to different electrical stimulation patterns and comparison of different sound coding strategies in CIs.

The proposed model would help the further investigations of ANFs responses to different electrical stimulation patterns and comparison of different sound coding strategies in CIs.Organisms continuously modify their living conditions via extended genetic effects on their environment, microbiome, and in some species culture. B102 These effects can impact the fitness of current but also future conspecifics due to non-genetic transmission via ecological or cultural inheritance. In this case, selection on a gene with extended effects depends on the degree to which current and future genetic relatives are exposed to modified conditions. Here, we detail the selection gradient on a quantitative trait with extended effects in a patch-structured population, when gene flow between patches is limited and ecological inheritance within patches can be biased towards offspring. Such a situation is relevant to understand evolutionary driven changes in individual condition that can be preferentially transmitted from parent to offspring, such as cellular state, micro-environments (e.g., nests), pathogens, microbiome, or culture. Our analysis quantifies how the interaction between limited gene flow and biased ecological inheritance influences the joint evolutionary dynamics of traits together with the conditions they modify, helping understand adaptation via non-genetic modifications. As an illustration, we apply our analysis to a gene-culture coevolution scenario in which genetically-determined learning strategies coevolve with adaptive knowledge. In particular, we show that when social learning is synergistic, selection can favour strategies that generate remarkable levels of knowledge under intermediate levels of both vertical cultural transmission and limited dispersal. More broadly, our theory yields insights into the interplay between genetic and non-genetic inheritance, with implications for how organisms evolve to transform their environments.This city-level study examines the association of federally licensed firearm dealers (FFLs) and measures of illegal firearm availability with the risk of intimate partner homicide. Annual data for a sample of 286 large cities in the United States were collected for the years 2010-2019, incorporating city-level information on the number of gun-perpetrated homicides, the rate of licensed firearm dealers, and guns reported lost or stolen. All data were compiled and analyzed in 2020. Negative binomial models were used to assess the relation of firearm availability and gun homicide by intimate partners, in comparison to gun homicide between non-intimates. Results indicate that a higher rate of licensed firearm dealers was associated with a higher risk of intimate partner homicide, although more pronounced in states with lower-than-average existing gun ownership. This association was robust to different analytical methods and alternate ways of capturing illegal guns. A supplementary analysis using unique data from The Trace further supports the argument that FFL presence is a risk factor for intimate partner firearm homicide specifically, but not necessarily firearm homicide characterized by other motives.Smoking cessation medications (SCMs) are an evidence-based cornerstone of comprehensive tobacco control programs globally. However, the impact of SCMs on population smoking prevalence is controversial, with inconsistencies between randomized controlled trials (RCTs) and population-based observational studies. We estimated SCM impact on permanent cessation and population smoking prevalence by extrapolating efficacy estimates from meta-analyses of RCTs, using the standard population impact formula efficacy*reach. We calculated the potential SCM impact under a range of assumptions for permanent cessation (20%,14%), behavioral support (yes/no), reach (40%-2%), and underlying smoking prevalence. Assuming behavioral support for all, depending on reach, 8%-0.3% of smokers are expected to quit permanently. Without behavioral support, permanent cessation is estimated to be 6.4%-0.2%. Assuming an underlying population smoking prevalence of 14%, (current U.S. prevalence), the maximum impact on population smoking prevalence is 1.12%. Impact on prevalence increases with increasing underlying country-specific levels of prevalence. With current U.S. levels of reach, behavioral support and smoking prevalence, we estimate that, based on a single course of treatment, 2.3% of smokers would quit permanently, contributing to a 0.3% decrease in population level smoking prevalence. Even under ideal conditions, the potential of current first-line SCMs to increase cessation in a substantial proportion of smokers, and reduce population smoking prevalence, is limited. In order to avert the predicted billion tobacco-caused deaths in this century, "safe and effective" medications are not sufficient SCMs with high population impact are urgently needed. Policies to ensure the availability and accessibility of highly efficacious SCMs, with behavioral support, are crucial.