Background National institutes of health stroke scale (NIHSS) is used, since its appearance in analysis of stroke in any national or international single center or multicenter study. It is also the golden standard assessment scale for stroke patients whether by emergency medical services on the way to hospital or by emergency room staff and by neurologists whether juniors or senior consultants. Yet, it is not capable of identifying all stroke cases. Along the current case report a relatively rare case of cortical deafness is presented highlighting its rarity and its vascular mechanism as well as how defective is NIHSS in recognizing it. Case presentation 72-year-old female patient presented with sudden episodic less than 60 min duration of bilateral deafness; initial imaging showed right hemispheric encephalomalacia of old stroke. Patient was initially managed as psychogenic case especially that her NIHSS was zero. On returning again to emergency room she was administered thrombolysis and regained full hearing power. Follow-up imaging revealed a new ischemic stroke along her left auditory cortex explaining her cortical deafness. Conclusion Cortical deafness might be missed especially that NIHSS does not detect it. NIHSS role as the only golden standard scale for diagnosing and following up stroke cases ought to be revised.
A novel program as a data management program for clothing mills called Lady Bird was created using c sharp (c#) program language as well as visual studio 2008.it was evaluated in 7 mills have already data management program and 5 mills have not .the program was full filled what the user need, its screens are enough, improves performance, fast the work arrangement and may meet the user expectation in the future.The study has concluded that; The program was fulfilling what the user need. The screen of lady bird program is enough in the clothing mills. The lady bird program improves performance in mills. The LadyBird program able to ease the usages of material and accessories of mill. Lady bird program may meet user expectation in the future.The product data management (PDM), Enterprise resource plans (ERP), Customer relationship management (CRM), product life cycle management (PLM) supply chain management (SCM), Fashion Lifecycle Management (FLMT).
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