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1.
The Korean Journal of Physiology and Pharmacology ; : 219-224, 2012.
Article in English | WPRIM | ID: wpr-728097

ABSTRACT

Understanding how the b-wave of the electroretinogram (ERG) is generated by full-field light stimulation is still a challenge in visual neuroscience. To understand more about the origin of the b-wave, we studied the contributions of gap junctions to the ERG b-wave. Many types of retinal neurons are connected to similar and different neighboring neurons through gap junctions. The photopic (cone-dominated) ERG, stimulated by a small light beam, was recorded from goldfish (Carassius auratus) using a corneal electrode. Data were obtained before and after intravitreal injection of agents into the eye under a photopic illumination level. Several agents were used to affect gap junctions, such as dopamine D1 and D2 receptor agonists and antagonists, a nitric oxide (NO) donor, a nitric oxide synthase (NOS) inhibitor, the gap junction blocker meclofenamic acid (MFA), and mixtures of these agents. The ERG b-waves, which were enhanced by MFA, sodium nitroprusside (SNP), SKF 38393, and sulpiride, remained following application of a further injection of a mixture with MFA. The ERG b-waves decreased following NG-nitro-L-arginine methyl ester (L-NAME), SCH 23390, and quinpirole administration but were enhanced by further injection of a mixture with MFA. These results indicate that gap junction activity influences b-waves of the ERG related to NO and dopamine actions.


Subject(s)
Humans , 2,3,4,5-Tetrahydro-7,8-dihydroxy-1-phenyl-1H-3-benzazepine , Benzazepines , Dopamine , Electrodes , Eye , Gap Junctions , Goldfish , Intravitreal Injections , Light , Lighting , Meclofenamic Acid , Neurons , Neurosciences , NG-Nitroarginine Methyl Ester , Nitric Oxide , Nitric Oxide Synthase , Nitroprusside , Quinpirole , Retinal Neurons , Sulpiride , Tissue Donors
2.
Journal of Korean Society of Medical Informatics ; : 169-177, 2008.
Article in Korean | WPRIM | ID: wpr-218306

ABSTRACT

OBJECTIVES: This study intended to identify the staff nurse's activity in general hospital, where its Hospital Information System is well established and Electronic Nursing Record System was being used for 2 years. METHODS: Procedure was done with the following steps; In the first step, nursing activity time was analysed by checklist, which 28 nurses filled out by themselves. The group interview was followed. RESULTS: During the day shift, the direct nursing activities took 37.04%, indirect nursing 40.74%, ward management 18.52% and personal time 3.70% respectively. In evening shift, nurses used 29.41% on direct nursing, 45.10% on indirect nursing, 19.61% on ward management and 5.88% on personal time. In night shift, direct nursing took 17.91%, indirect nursing 46.27%, ward management 17.91% and personal time 11.98%. The group interview reported the differences in nursing activities which recognized by the included staff nurses after the introduction of ENR; speed and convenience in working, the correctness and speed of recording, reduction of indirect nursing time including recording time and increase of direct nursing time and patient education. CONCLUSIONS: The introduction of HIS including ENR system was verified to be effective on improvement of nursing quality, by bringing reduction of indirect nursing time and increase of direct nursing time.


Subject(s)
Humans , Checklist , Electronics , Electrons , Hospital Information Systems , Hospitals, General , Interviews as Topic , Nursing Records , Resin Cements
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