Brush cutting is a commonly performed activity occupationally as well as recreationally in Malaysia. There are various occupational injuries reported related to brush cutting, for example foreign body penetration. There were 11 reported cases of foreign body penetrated in leg of brush cutting workers admitted to orthopaedic ward in Hospital Raja Permaisuri Bainun from the period of January till October 2009. Among the cases, 4 were surgically removed under local anaesthesia and 7 cases performed under general anesthesia. 2 cases reported foreign body penetrated into tibia bone. There were many contributing factors to the injury, which include lack of protective measures for workers, engineering property of brush cutting machine and education on handling of equipment. It is vital to study the factors separately in order to determine and recommend useful preventive measures. However, the actual numbers of cases are under reported and awareness of the problem is undermined.
Three techniques to retrieve information on sea ice thickness from both active and passive radar backscatter data are presented. The first inversion model is a combination of the radiative transfer theory with dense medium phase and amplitude correction theory (DMPACT), and the Levenberg-Marquardt optimization algorithm. The radiative transfer theory was applied as the forward model to generate radar backscatter data, while the DMPACT was included to account for the close spacing effect among the scatterers within the medium. The Levenberg-Marquardt optimization algorithm was then applied to reduce the error between the model generated radar backscatter data and the measured radar backscatter data from satellite images so that the sea ice thickness could be estimated. The second method presented was the neural network inversion method which utilizes a chain of neurons with variable weights. Once the network was fully operational it would be possible to predict the sea ice thickness, provided sufficient training data are given. The last method was the genetic algorithm which is a search technique used in order to predict the approximate sea ice thickness from the measured data. Data from ground truth measurements carried out in Ross Island, Antarctica, together with radar backscatter data extracted from purchased satellite images were used as input to verify the models. All three models were tested and successfully predicted sea ice thickness from actual terrain using the ground truth measurement data, with several constraints and assumptions placed to avoid problems during the retrieval process. While the models still have their own limitations, the potential use of the models for actual sea ice thickness retrieval was confirmed.
Eosinophil-type nasal polyp (NP) is common in Western population. This aim of
this study was to determine the histology type of NP among different Malaysian
ethnic groups. A total of 122 chronic rhinosinusitis with nasal polyposis (CRSwNP)
patients were retrospectively enrolled and demographic data was recorded. The
histological slides were retrieved. The number of eosinophils and non-eosinophils
were counted and average number of inflammatory cells for each high power
field was calculated. Eosinophil-predominant was seen in 32.8% of patients and
67.2% was non-eosinophil-predominant. Phenotypes of NP significantly showed an association with ethnicity (x² = 8.322; p < 0.05). A total of 78.9% of Chinese
nasal polyps showed non-eosinophil predominant, while Malay and Indian nasal
polyps revealed 71.9% and 40.7% of non-eosinophilic phenotype, respectively.
Our study showed that Malaysian population had a non-eosinophilic phenotype
of nasal polyps. There was a significant association in Malaysian ethnicity with the
highest percentage in Chinese population.