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Brain Research|March 21, 1998
The development of a new mouse model of global ischemia: focus on the relationships between ischemia duration, anesthesia, cerebral vasculature, and neuronal injury following global ischemia in miceK Murakami, T Kondo, M Kawase, et al.
Respiration; International Review of Thoracic Diseases|November 9, 2000
Superoxide dismutase in alveolar macrophages from patients with diffuse panbronchiolitisT Morikawa, J I Kadota, S Kohno, et al.
International Journal of Radiation Biology|December 1, 1988
Free radical formation and cell lysis induced by ultrasound in the presence of different rare gasesT Kondo, J Gamson, J B Mitchell, et al.
Neotropical Entomology|October 13, 2017
Biological Data on Anovia punica Gordon (Coleoptera: Coccinellidae), a Predator of Crypticerya multicicatrices Kondo & Unruh (Hemiptera: Monophlebidae)E C Pinchao, P Sotelo, G González, et al.
Spinal Cord|November 8, 2014
Rehabilitation for paraplegia caused by neuromyelitis optica: a case reportM Sato, K Sugiyama, T Kondo, et al.
Blood|October 9, 1999
The molecular basis of a case of gamma-glutamylcysteine synthetase deficiencyE Beutler, T Gelbart, T Kondo, et al.
Journal of Biochemistry|February 1, 1978
Isolation and properties of thyroglobulin-related 4S protein in the soluble fraction of thyroid tissueO Tarutani, T Kondo, D J Smith, et al.
European Journal of Neurology|October 8, 2011
Combination of transcranial sonography, olfactory testing, and MIBG myocardial scintigraphy as a diagnostic indicator for Parkinson's diseaseM O Izawa, H Miwa, Y Kajimoto, et al.
The Journal of Chemical Physics|October 9, 2007
Theoretical investigation of the dissociation dynamics of vibrationally excited vinyl bromide on an ab initio potential-energy surface obtained using modified novelty sampling and feedforward neural networks. II. Numerical application of the methodM Malshe, L M Raff, M G Rockley, et al.
The Journal of Chemical Physics|April 20, 2005
Ab initio potential-energy surfaces for complex, multichannel systems using modified novelty sampling and feedforward neural networksL M Raff, M Malshe, M Hagan, et al.
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