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The increase in demand for football players to perform at their best during training and competition results in the escalation of a varying number of football-related injuries. Media reports provide readily as well as timely information on injury-related issues that could assist the stakeholders in decision making before and after a competition. Although, many attempts have been made to quantify football-related injuries in many countries via media, however, little is known on its prevalence, types and mechanisms as reported in Nigerian media. The present study employed a content analysis technique through which 94 football-related news articles from Nigerian newspapers were examined and the most frequently reported injuries are identified. It is demonstrated from the chi-square analysis that the occurrences of football-related injuries are distributed amongst players regardless of their positional role in the game [χ2(60) = 41.401; p>0.05]. Moreover, the prevalence in the mechanisms of injuries are disseminated across injury types [χ2(30) = 32.203; p>0.05]. A total of 94 different injuries are reported with knee, ankle, and thigh as the most affected locations. The findings further revealed that strikers have a higher rate of injury occurrences with a total of 52% as compared to midfielders 20%, defenders 14%, and goalkeepers 12% whilst 2% are unidentified. Many of the injuries reported are either fresh 48% or recurrent 50% with only 2% recovery. The present findings could be useful to stakeholders in projecting injury-related problems in football which could guide appropriate action.well as manage football-related injuries. The provision of valid information could pave way for understanding the mechanism of injuries occurrences, frequencies and affected sites that could prompt the stakeholders to prepare for the right action both during training and competitions. Media reports provide readily as well as timely information on injury-related issues in the

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Cajuputi essential oil is extracted from the leaves of Melaleuca cajuputi Powell. This study is performed to spatially classify the variation of Melaleuca cajuputi essential oil fingerprint based on different sampling location using chemometric technique along Terengganu coastal area. Discriminant Analysis (DA) successfully discriminate 10 fingerprint of essential oil into three different groups with three significant peaks in FTIR analysis. Hierarchical agglomerative cluster analysis (HACA) successfully grouped the 10 sampling stations into three groups (cluster A, B and C).Classification criteria is based on the intensity movement of functional group either bending or stretching of the essential oil compound Multiple linear regression (MLR) was used to develop an equation model that explains the prediction of species fingerprint in each cluster by different locations.