Article, Education, Not Laws Can Solve Problems

Article detailing the proceedings of a banquet honoring President and Mrs. Brandenburg, including speech of Dr. L.A. Pittenger. March 19, 193

National Ignition Facility subsystem design requirements target positioning subsystem SSDR 1.8.2

This Subsystem Design Requirement document is a development specification that establishes the performance, design, development and test requirements for the target positioner subsystem (WBS 1.8.2) of the NIF Target Experimental System (WBS 1.8)

Estimates of future automated space mission models for use in NASA launch vehicle planning

Mission models for 1971 to 1981 for use in NASA launch vehicle plannin

Probabilistic Quantum Memories

Typical address-oriented computer memories cannot recognize incomplete or noisy information. Associative (content-addressable) memories solve this problem but suffer from severe capacity shortages. I propose a model of a quantum memory that solves both problems. The storage capacity is exponential in the number of qbits and thus optimal. The retrieval mechanism for incomplete or noisy inputs is probabilistic, with postselection of the measurement result. The output is determined by a probability distribution on the memory which is peaked around the stored patterns closest in Hamming distance to the input.Comment: Revised version to appear in Phys. Rev. Let

Mutually unbiased bases and discrete Wigner functions

Mutually unbiased bases and discrete Wigner functions are closely, but not uniquely related. Such a connection becomes more interesting when the Hilbert space has a dimension that is a power of a prime $N=d^n$, which describes a composite system of $n$ qudits. Hence, entanglement naturally enters the picture. Although our results are general, we concentrate on the simplest nontrivial example of dimension $N=8=2^3$. It is shown that the number of fundamentally different Wigner functions is severely limited if one simultaneously imposes translational covariance and that the generating operators consist of rotations around two orthogonal axes, acting on the individual qubits only.Comment: 9 pages, 6 tables, 6 figures. Accepted for publication in J. Opt. Soc. Am. B, special issue on Optical Quantum Information Scienc

Topiramate improves neurovascular function, epidermal nerve fiber morphology, and metabolism in patients with type 2 diabetes mellitus

Amanda L Boyd, Patricia M Barlow, Gary L Pittenger, Kathryn F Simmons, Aaron I VinikDepartment of Internal Medicine, Eastern Virginia Medical School, Norfolk, VA, USAPurpose: To assess the effects of topiramate on C-fiber function, nerve fiber morphology, and metabolism (including insulin sensitivity, obesity, and dyslipidemia) in type 2 diabetes.Patients and methods: We conducted an 18-week, open-label trial treating patients with topiramate. Twenty subjects with type 2 diabetes and neuropathy (61.5 ± 1.29 years; 15 male, 5 female) were enrolled and completed the trial. Neuropathy was evaluated by total neuropathy scores, nerve conduction studies, quantitative sensory tests, laser Doppler skin blood flow, and intraepidermal nerve fibers in skin biopsies.Results: Topiramate treatment improved symptoms compatible with C-fiber dysfunction. Weight, blood pressure, and hemoglobin A1c also improved. Laser Doppler skin blood flow improved significantly after 12 weeks of treatment, but returned to baseline at 18 weeks. After 18 weeks of treatment there was a significant increase in intraepidermal nerve fiber length at the forearm, thigh, and proximal leg. Intraepidermal nerve fiber density was significantly increased by topiramate in the proximal leg.Conclusion: This study is the first to demonstrate that it is possible to induce skin intraepidermal nerve fiber regeneration accompanied by enhancement of neurovascular function, translating into improved symptoms as well as sensory nerve function. The simultaneous improvement of selective metabolic indices may play a role in this effect, but this remains to be determined.Keywords: diabetic neuropathy, skin blood flow, skin biopsy, diabete

Telling a trusted adult: Factors associated with the likelihood of disclosing child sexual abuse prior to and during a forensic interview

Background: Many child sexual abuse (CSA) survivors delay or withhold disclosure of their abuse, even when presenting for formal investigation interviews. Objective: This study examined factors that relate to the CSA disclosure process. Participants and Settings: Participants were CSA victims (N = 1,732) presenting to a Child Advocacy Center (CAC) for a forensic interview. Method: We tested a structural model to predict disclosure before and during a forensic interview using secondary data analysis. Results: Youth were less likely to disclose before a forensic interview if they witnessed domestic violence (β = -.233, p \u3c .05). Caregivers were less likely to believe the abuse allegation if the alleged perpetrator resided in the home β = -.386, p \u3c .05) and more likely to believe if the youth made a prior disclosure (β = .286, p \u3c .05). Youth were more likely to disclose during the forensic interview if they were older (β=.388, p \u3c .05), if the alleged perpetrator resided in their home (β=.209, p \u3c .05), if they disclosed prior (β=.254, p \u3c .05), and if their caregiver believed the allegation (β=.213, p \u3c . 05). The alleged perpetrator residing in the youth’s home (β=-0.082, p\u3c.05) and making a prior disclosure (β=0.060, p\u3c.05) were both indirectly associated with forensic interview disclosure through caregiver belief. Conclusions: Findings highlight the importance of the family context and caregiver belief in the disclosure process for youth involved in formal CSA investigations

Constant-time solution to the Global Optimization Problem using Bruschweiler's ensemble search algorithm

A constant-time solution of the continuous Global Optimization Problem (GOP) is obtained by using an ensemble algorithm. We show that under certain assumptions, the solution can be guaranteed by mapping the GOP onto a discrete unsorted search problem, whereupon Bruschweiler's ensemble search algorithm is applied. For adequate sensitivities of the measurement technique, the query complexity of the ensemble search algorithm depends linearly on the size of the function's domain. Advantages and limitations of an eventual NMR implementation are discussed.Comment: 14 pages, 0 figure

The Role of Stress in the Pathogenesis and Maintenance of Obsessive-Compulsive Disorder

Individuals with obsessive-compulsive disorder often identify psychosocial stress as a factor that exacerbates their symptoms, and many trace the onset of symptoms to a stressful period of life or a discrete traumatic incident. However, the pathophysiological relationship between stress and obsessive-compulsive disorder remains poorly characterized: it is unclear whether trauma or stress is an independent cause of obsessive-compulsive disorder symptoms, a triggering factor that interacts with a preexisting diathesis, or simply a nonspecific factor that can exacerbate obsessive-compulsive disorder along with other aspects of psychiatric symptomatology. Nonetheless, preclinical research has demonstrated that stress has conspicuous effects on corticostriatal and limbic circuitry. Specifically, stress can lead to neuronal atrophy in frontal cortices (particularly the medial prefrontal cortex), the dorsomedial striatum (caudate), and the hippocampus. Stress can also result in neuronal hypertrophy in the dorsolateral striatum (putamen) and amygdala. These neurobiological effects mirror reported neural abnormalities in obsessive-compulsive disorder and may contribute to an imbalance between goal-directed and habitual behavior, an imbalance that is implicated in the pathogenesis and expression of obsessive-compulsive disorder symptomatology. The modulation of corticostriatal and limbic circuits by stress and the resultant imbalance between habit and goal-directed learning and behavior offers a framework for investigating how stress may exacerbate or trigger obsessive-compulsive disorder symptomatology