In the developing world, ocular trauma is an important cause of monocular blindness. However, little is known about the epidemiology of eye injuries in rural Africa. This study presents five- year data on hospitalized ocular injuries in a rural region in Tanzania. Data were collected from Mvumi Hospital, a tertiary hospital serving rural Dodoma, and the only hospital during this time period able to care for serious trauma. All in-patient charts from January 1, 1985 to December 31, 1989 were reviewed for cases of ocular trauma who presented within 30 days of injury. Data on demographics, cause of injury, visual acuity, and current diagnosis were abstracted. A total of 157 cases were recorded, of whom 69% were male. A third of the injuries occurred in those less than age 20. Injury with a stick was the most common cause, accounting for 67% of the cases. A third of the cases presented to the hospital 8 or more days after the injury, and most had poor visual acuity in the affected eye. In those age 20 or younger, 82% of females and 67% of males presented with visual acuity <3/60. Ruptured globe and uveitis were the most common diagnosis made at presentation. Preventive ophthalmology efforts in this area should focus on decreasing stick-related ocular injuries and improving rapid access to appropriate care when injuries occur.

We conclude that performances on standardized tasks in the clinic setting do correlate with similar tasks performed in the home, although the relationship is complicated in the presence of visual impairment.

In failed filtering blebs, needle revision with 5-Fluorouracil and a combined ab-externo and ab-interno approach results in high success and low complication rates. The outcome of this procedure compares favorably with previously reported revision techniques.

Signal periodic decomposition and periodic estimation are two crucial problems in the signal processing domain. Due to its significance, the applications have been extended to fields like periodic sequence analysis of biomolecules, stock market predictions, speech signal processing, and musical pitch analysis. The recently proposed Ramanujan sums (RS) based transforms are very useful in analysing the periodicity of signals. This paper proposes a method for periodicity detection of signals with multiple periods based on autocorrelation and Ramanujan subspace projection with low computational complexity. The proposed method is compared with other signal periodicity detection methods and the results show that the proposed method detects the signal period correctly in less time.