In the present study the length-weight relationship and condition factor of L.bata (Labeo bata) had been investigated and elucidated with particular reference to the growth status and condition factor in hill stream of Ranikot at District Jamshoro Sindh-Pakistan. A total of 291 individuals with their sixteen morphometric traits were analyzed for length-weight relationship, correlation and condition factor. The length-weight relationship, morphometrics and condition factor indicated positive allometric growth and high level of interdependence (0.992-0.887) between morphometric traits. The mean total length 20.7+1.21cm and mean weight 13.85+1.42gm were observed. A strong linear relationship (r=0.975) was observed between total length and weight variables (a=0.3338). The value of regression coefficient (b=2.684) suggests isometric growth in L.bata. The condition (K=0.724) and relative condition factors (kn=0.751) were observed <1.0, that indicated the environmental impact on the fish in hill stream of Ranikot. The findings suggest satisfactory growth and well-being of fish in the surrounding aquatic environment. In further, more hydrological factors might be investigated to know the real impacting factors.

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In this paper, an android based SAMS (Smart Activities Monitoring System) application for smart phone is proposed. This application is developed with the aim of increasing the national security in Pakistan. In last decade, various incidents including militant attacks and ransomdemands have been reported in which cell phones played a central role in communication between the culprits. The tracking of these criminals is very important and the government needs to adopt technologies to track mobile phones if they are being used for dangerous activities. In this paper, an android based application is presented which is designed and tested to track a suspect without his/her attention. This application tracks a smartphone by obtaining its current location and monitors a suspect remotely by retrieving information such as call logs, message logs etc. It also detects the face of the suspect and covertly captures the picture using cell phone camera and then sends it via multiple messages. Moreover, the monitoring user can also make calls to the phone which the culprit is using in stealth mode to hear the conversation happening in surroundings of the user without the knowledge of suspect.