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Frequency and field dependent conductivity of carbon nanotube networks
A.B.Kaiser,K.J.Challis,G.C.McIntosh,G.T.Kim,H.Y.Yu,J.G.Park,S.H.Jhang,Y.W.Park 한국물리학회 2002 Current Applied Physics Vol.2 No.2
The measured resistance of carbon nanotube networks is often dominated by defects, inter-tube and inter-rope contacts. Weshow that the peak reported in the frequency-dependent conductivity of single-wall carbon nanotube networks is consistent withpendence of the conductivity. Using Sheng’s model, we calculate the eld dependence of uctuation-assisted tunnelling conductionbetween metallic regions separated by an insulating barrier, obtaining nonlinearities consistent with our experimental data oncarbon nanotube networks.. 2002 Elsevier Science B.V. All rights reserved.
Electronic nutritional intake assessment in patients with urolithiasis: A decision impact analysis
Avory M. Heningburg,Anand Mohapatra,Aaron M. Potretzke,Alyssa Park,Alethea G. Paradis,Joel Vetter,Adrienne N. Kuxhausen,Leslie D. McIntosh,Anthony Juehne,Alana C. Desai,Gerald L. Andriole,Brian M. Ben 대한비뇨의학회 2016 Investigative and Clinical Urology Vol.57 No.3
Purpose: To evaluate a physician's impression of a urinary stone patient's dietary intake and whether it was dependent on the medium through which the nutritional data were obtained. Furthermore, we sought to determine if using an electronic food frequency questionnaire (FFQ) impacted dietary recommendations for these patients. Materials and Methods: Seventy-six patients attended the Stone Clinic over a period of 6 weeks. Seventy-five gave consent for enrollment in our study. Patients completed an office-based interview with a fellowship-trained endourologist, and a FFQ administered on an iPad. The FFQ assessed intake of various dietary components related to stone development, such as oxalate and calcium. The urologists were blinded to the identity of patients' FFQ results. Based on the office-based interview and the FFQ results, the urologists provided separate assessments of the impact of nutrition and hydration on the patient's stone disease (nutrition impact score and hydration impact score, respectively) and treatment recommendations. Multivariate logistic regressions were used to compare pre-FFQ data to post-FFQ data. Results: Higher FFQ scores for sodium (odds ratio [OR], 1.02; p=0.02) and fluids (OR, 1.03, p=0.04) were associated with a higher nutritional impact score. None of the FFQ parameters impacted hydration impact score. A higher FFQ score for oxalate (OR, 1.07; p=0.02) was associated with the addition of at least one treatment recommendation. Conclusions: Information derived from a FFQ can yield a significant impact on a physician's assessment of stone risks and decision for management of stone disease.