Testing for lack of fit in inverse regression - with applications to photonic imaging.

Regression; Problems; Lack-of-fit; Applications;

New statistical goodness of fit techniques in noisy inhomogeneous inverse problems - With application to the recovering of the luminosity distribution of the Milky Way

The assumption that a parametric class of functions fits the data structure sufficiently well is common in fitting curves and surfaces to regression data. One then derives a parameter estimate resulting from a least squares fit, say, and in a second step various kinds of chi^2 goodness of fit measures, to assess whether the deviation between data and estimated surface is due to random noise and not to systematic departures from the model. In this paper we show that commonly-used chi^2-measures are invalid in regression models, particularly when inhomogeneous noise is present. Instead we present a bootstrap algorithm which is applicable in problems described by noisy versions of Fredholm integral equations. of the first kind. We apply the suggested method to the problem of recovering the luminosity density in the Milky Way from data of the DIRBE experiment on board the COBE satellite

Massage for Combat Injuries in Veteran with Undisclosed PTSD: a Retrospective Case Report.

INTRODUCTION: Massage has shown promise in reducing symptoms related to dissociation and anxiety that can exacerbate chronic pain and suffering. The combat wounded, veteran population is increasing and requires a multidisciplinary approach for comprehensive treatment. This case study examines massage therapy use to improve veteran combat injury rehabilitation and recovery experience through purposive, retrospective, and comprehensive SOAP note review. METHODS: A 31-year-old White male received seven, 60-min, full body massages for combat related shoulder injury complications incurred approximately six years before presentation. The right shoulder sustained a broken humeral head and complete dislocation during a defensive maneuver in a life-threatening attack. This case study utilized data from three different assessments: goniometric measurements for shoulder range of motion, observation and documentation for environmental comfort behaviors, and client self-report for treatment goal attainment. Six weekly, full body, 60-min massages were completed sequentially. A follow-up 60-min treatment was completed at Week 8. Treatment to the injured area included focused trigger point therapy, myofascial release, and proprioceptive neuromuscular facilitation to the neck, shoulder, and chest. RESULTS: Total percent change for active flexion, extension, abduction, adduction, internal rotation, and external rotation were 12.5, 150, 40, 167, 14.3, and 0%, respectively. Total percent change for passive flexion, extension, abduction, adduction, internal rotation, and external rotation were 63.6, 350, 66.7, 450, 133, and 77.8%, respectively. Environmental comfort behaviors were reduced. Client treatment goals were attained. CONCLUSIONS: Massage therapy provided meaningful benefit to a combat injury for a veteran with PTSD

Design, theory, and measurement of a polarization insensitive absorber for terahertz imaging

We present the theory, design, and realization of a polarization-insensitive metamaterial absorber for terahertz frequencies. We derive geometrical-independent conditions for effective medium absorbers in general, and for resonant metamaterials specically. Our fabricated design reaches and absorptivity of 78% at 1.145 ThzComment: 6 Pages, 5 figures; figures update

Identification of Normal Higher Aliphatic Aldehydes by Means of the Melting · Point Data of Their Thiosemicarbazones

The step-like alternations in melting points of both series of the aldehyde thiosemicarbazones, containing an even and an odd number of carbon atoms, are on average 10° for higher members of the homologous series. This lends itself well to an easy identification of higher aliphatic aldehydes

Neuronal avalanches recorded in the awake and sleeping monkey do not show a power law but can be reproduced by a self-organized critical model

Poster presentation: Self-organized critical (SOC) systems are complex dynamical systems that may express cascades of events, called avalanches [1]. The SOC state was proposed to govern brain function, because of its activity fluctuations over many orders of magnitude, its sensitivity to small input and its long term stability [2,3]. In addition, the critical state is optimal for information storage and processing [4]. Both hallmark features of SOC systems, a power law distribution f(s) for the avalanche size s and a branching parameter (bp) of unity, were found for neuronal avalanches recorded in vitro [5]. However, recordings in vivo yielded contradictory results [6]. Electrophysiological recordings in vivo only cover a small fraction of the brain, while criticality analysis assumes that the complete system is sampled. We hypothesized that spatial subsampling might influence the observed avalanche statistics. In addition, SOC models can have different connectivity, but always show a power law for f(s) and bp = 1 when fully sampled. This may not be the case under subsampling, however. Here, we wanted to know whether a state change from awake to asleep could be modeled by changing the connectivity of a SOC model without leaving the critical state. We simulated a SOC model [1] and calculated f(s) and bp obtained from sampling only the activity of a set of 4 × 4 sites, representing the electrode positions in the cortex. We compared these results with results obtained from multielectrode recordings of local field potentials (LFP) in the cortex of behaving monkeys. We calculated f(s) and bp for the LFP activity recorded while the monkey was either awake or asleep and compared these results to results obtained from two subsampled SOC model with different connectivity. f(s) and bp were very similar for both the experiments and the subsampled SOC model, but in contrast to the fully sampled model, f(s) did not show a power law and bp was smaller than unity. With increasing the distance between the sampling sites, f(s) changed from "apparently supercritical" to "apparently subcritical" distributions in both the model and the LFP data. f(s) and bp calculated from LFP recorded during awake and asleep differed. These changes could be explained by altering the connectivity in the SOC model. Our results show that subsampling can prevent the observation of the characteristic power law and bp in SOC systems, and misclassifications of critical systems as sub- or supercritical are possible. In addition, a change in f(s) and bp for different states (awake/asleep) does not necessarily imply a change from criticality to sub- or supercriticality, but can also be explained by a change in the effective connectivity of the network without leaving the critical state

Therapeutic Massage Combined with Mirror Therapy for Phantom Limb Pain: Two Experimental Cases

poster abstractPhantom limb pain (PLP) is a common and difficult to treat issue for individuals with amputations. Current PLP treatments (primarily pharmaceutical) are only modestly effective and often have negative side-effects. Massage has been self-reported as beneficial for PLP but no research has examined massage specifically for PLP. Mirror therapy’s evidence base for PLP is building. Combining massage (which alone may impact PLP via Pfleger’s law of symmetry) with mirror therapy may allow practitioners to apply massage for a painful area that cannot actually be touched. The current quasi-experimental A-B-A withdrawal case series sought to descriptively examine outcomes of therapeutic massage combined with mirror therapy (TMwMT) for individuals with persistent lower limb PLP and establish feasibility of intervention delivery. Each study phase was four weeks long with bi-weekly, individualized 20-25 minute TMwMT sessions during the treatment (B) phase. TMwMT sessions were developed and applied to address the specific participant PLP experience as if the pain were experienced by the intact limb. During masked TMwMT sessions, participants viewed a real-time mirror image of their intact leg receiving massage in the place of their missing limb. Measures: bi-weekly PLP severity via VAS; PLP intensity and interference collected at beginning/end of each phase via Brief Pain Inventory. Two men completed the study protocol. PLP severity decreased during treatment for both participants with effects beginning to diminish by week two of the withdrawal phase. By the study’s conclusion, PLP severity had not elevated back to average levels of initial phase A. Pain intensity for both participants improved during phase B but results were mixed for pain interference. These individuals had not responded to previous treatments for their PLP; our experimental, non-pharmacological and targeted TMwMT treatment was beneficial in the short-term. Our intervention is theoretically sound, reflects aspects of real-world massage delivery, and needs further investigation

Employing combination procedures to short-time EOP prediction

A well known problem with Earth Orientation Parameters (EOP) prediction is that a prediction strategy proved to be the best for some testing time span and prediction length may not remain the same for other time intervals. In this paper, we consider possible strategies to combine EOP predictions computed using different analysis techniques to obtain a final prediction with the best accuracy corresponding to the smallest prediction error of input predictions. It was found that this approach is most efficient for ultra-short-term EOP forecast.Comment: 7 pages, presented at the IERS Workshop on EOP Combination and Prediction, Warsaw, Poland, 19-21 Oct 200