Social Marketing and Falls Prevention: Market Segmentation and Product Positioning

The present study sets out to better understand how falls prevention can be marketed and positioned in order to increase participation rates in seniors. Market segmentation was used to create unique marketing mixes for individual groups of seniors. The senior market was segmented into frequent falling males and females, and non-falling males and females. Frequent fallers were defined by having experienced 2 or more falls in the past year, where non-fallers had experienced 1 or less falls. Twelve focus groups were conducted with thirty-five participants (N=35), 65 years or older. Differences were mainly found between number of falls experienced and gender. Risk perception was found to be associated with number of falls as well as participation. Specific marketing mixes are presented for each segment, and compared with a pre-existing falls prevention pamphlet. Future research should investigate the use of risk perception and age as potential segmentation criteria

Movement Dependence and Layer Specificity of Entorhinal Phase Precession in Two-Dimensional Environments

As a rat moves, grid cells in its entorhinal cortex (EC) discharge at multiple locations of the external world, and the firing fields of each grid cell span a hexagonal lattice. For movements on linear tracks, spikes tend to occur at successively earlier phases of the theta-band filtered local field potential during the traversal of a firing field - a phenomenon termed phase precession. The complex movement patterns observed in two-dimensional (2D) open-field environments may fundamentally alter phase precession. To study this question at the behaviorally relevant single-run level, we analyzed EC spike patterns as a function of the distance traveled by the rat along each trajectory. This analysis revealed that cells across all EC layers fire spikes that phase-precess;indeed, the rate and extent of phase precession were the same, only the correlation between spike phase and path length was weaker in EC layer III. Both slope and correlation of phase precession were surprisingly similar on linear tracks and in 2D open-field environments despite strong differences in the movement statistics, including running speed. While the phase-precession slope did not correlate with the average running speed, it did depend on specific properties of the animal's path. The longer a curving path through a grid-field in a 2D environment, the shallower was the rate of phase precession, while runs that grazed a grid field tangentially led to a steeper phase-precession slope than runs through the field center. Oscillatory interference models for grid cells do not reproduce the observed phenomena

Efficacy of Trastuzumab in Routine Clinical Practice and After Progression for Metastatic Breast Cancer Patients: The Observational Hermine Study

Results of the Hermine study examining the use of trastuzumab for metastatic breast cancer patients in routine practice, including patients who received trastuzumab treatment beyond progression, are reported. The cardiac safety of trastuzumab in this setting is also reported

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 - Meeting Abstracts - Antwerp, Belgium. 15–20 July 2017

This work was produced as part of the activities of FAPESP Research,\ud Disseminations and Innovation Center for Neuromathematics (grant\ud 2013/07699-0, S. Paulo Research Foundation). NLK is supported by a\ud FAPESP postdoctoral fellowship (grant 2016/03855-5). ACR is partially\ud supported by a CNPq fellowship (grant 306251/2014-0)

A probabilistic framework for identifying safety critical events in naturalistic driving time series data

One of the core types of analysis performed in naturalistic driving studies (NDS) is event based analysis (EBA). EBA considers surrogate events, called safety critical events (SCE), for crashes, since actual crashes are rare. In order to find potential safety critical events, constant parameter thresholds have been commonly used (Simons-Morton et al., 2011). A key challenge of NDS is determining whether these SCEs are safety-relevant requiring time-consuming and expensive manual video coding. In order to lower the time needed for manual coding, a new approach of identifying SCE is presented on the data of the UDRIVE NDS. In this approach, SCE triggers are defined based on the likelihood of certain events countering the inherited high number of false-alarms of constant thresholds (Simons-Morton et al., 2011). The approach provides a functional relationship between the threshold parameters (e.g. longitudinal acceleration and situational parameters such as speed). This function is based on the joint probability density distribution (JPDD) of the involved trigger parameters. The first step is to estimate the JPDD from a representative sample. Because the linearly binned kernel density estimate approach (Wand, 1994) is computationally fast and allows for estimating two dimensional distributions, it was used for estimating the JPDD (Deng, 2011). The trigger function is computed as the percentile line of the estimated JPDD by computing the cumulative probability function. This curve represents a dynamically changing threshold of trigger parameters depending on a chosen set of situational parameters such as velocity. This approach allows for determining events occurring with a specific probability. A polynomial fit can help determining an easy-to-implement representation of the trigger function. This approach has two advantages: Specific values of a constant trigger threshold do not need to be chosen, but instead values are the result of a general parameter setting. Furthermore, it provides a dynamically changing threshold for different scenarios, such as a lower threshold on longitudinal deceleration values for driving on a highway (higher speed levels) compared to urban driving (lower speed levels). We expect that this framework closes the gap between discrete forms of SCE triggers and helps to lower the number of false-alarm detections and therefore relieves the burden of manual inspection

NMR Assignments of a Stable Processing Intermediate of Human Frataxin

Frataxin, a nuclear encoded protein targeted to the mitochondrial matrix, has recently been implicated as an iron chaperone that delivers ferrous iron to the iron-sulfur assembly enzyme IscU. During transport across the mitochondrial membrane, the N-terminal mitochondrial targeting sequence of frataxin is cleaved in a two-step process to produce the mature protein found in the matrix, however N-terminal extended forms of the protein have also been observed in vivo. The recent structural characterization studies of the human frataxin ortholog were performed on a truncated variant of the protein. Here we report the NMR spectral assignment of an extended form of the mature human frataxin ortholog as the basis for understanding the role of the N-terminal domain in protein function