thirty one patients with biologic and clinical diagnosis of hyperparathyroidism were submitted to thalium-technetium scan prior to exploration of the neck. scan findings were compared with the pathologic results. surgical exploration of the neck showed a parathyroid adenoma in 24 patients, parathyroid carcinoma in one patient, normal parathyroid in another patient and parathyroid hyperplasia in...

Samantha K. Hallman is a TLTC Postdoctoral Research Associate at the Center for Research on Learning and Teaching (CRLT) at the University of Michigan. She has a Ph.D. in Social Work and Psychology. Mary C. Wright is Director of Assessment and an Associate Research Scientist at CRLT. She has a Ph.D. in Sociology. Amy J. Conger is the Assistant Vice Provost for Global and Engaged Education. She ...

Obtaining the peak current ip from raw CV data The raw CV data obtained during the experiments featured two characteristics, which could potentially complicate the data analysis. First, because of the relatively high scan rate (10 V s) used for these experiments, the background current was quite important and could potentially hinder the determination of the concentration profiles from the volt...

Thirty one patients with biologic and clinical diagnosis of hyperparathyroidism were submitted to thalium-technetium scan prior to exploration of the neck. Scan findings were compared with the pathologic results. Surgical exploration of the neck showed a parathyroid adenoma in 24 patients, parathyroid carcinoma in one patient, normal parathyroid in another patient and parathyroid hyperplasia in...

We report a 33-year-old Malay woman presented with acute left dense hemiparesis and an NIHSS score of 11/15. Computed tomography (CT) scan brain showed a massive right middle cerebral artery (MCA) territory infarct. The right internal carotid artery (ICA) and right proximal MCA were shown occluded from digital substraction angiography (DSA). Carotid dissection, carotid canal anomaly, and interc...

Foreground-background segmentation in videos is an important low-level task needed for many different applications in computer vision. Therefore, a great variety of different algorithms have been proposed to deal with this problem, however none can deliver satisfactory results in all circumstances. Our approach combines an efficent novel Background Substraction algorithm with a higher order Mar...

CONSEQUENCES IN ARTICULATORY MODELLING Gérard Bailly, Pierre Badin & Anne Vilain Institut de la Communication Parlée INPG & Université Stendhal 46, avenue Félix Viallet, 38031 Grenoble Cedex 1, France Abstract Linear component articulatory models [9, 10, 5] are built using an iterative substraction of linear predictors of the vocal tract geometry. In this paper we consider the contribution of j...

In this paper, an improved method based on Curvelet Transform using different window functions is presented for the speech enhancement. The window function is used for preprocessing of speech signals. In this method, instead of using two-dimensional (2-D) discrete Fourier Transform, Curvelet transform is employed with spectral magnitude subtraction method. General terms Spectral Substraction Me...