Since a past decade, social media networking has become an essential part of everyone’s life affecting cultural, economic and social life of the people. According to internetlivestats.com, in March 2019 the Internet users reached 4 168 461 500, i.e., 50.08 % penetration of world population. According to Statista, in 2019 there are 2.22 billion social media networking users worldwide, i.e., 31 % of global social media networking penetration and it is expected that in 2021 this number will reach 3.02 billion. These social networking sites are attracting users from all walks of life and keeping these users’ data in the cloud. Today’s big challenge is related to an increase in volume, velocity, variety and veracity of data in social media networking, and this leads to creating several concerns, including privacy and security; on the other hand, it also proves as a tool to prevent and investigate cybercrime, if intelligently and smartly handled. The law enforcement agencies are putting their utmost efforts to prevent cybercrime by monitoring communications activities over the Internet. In this paper, the authors discuss recommendations and techniques for preventing cybercrime.
Mumtaz Hasan Malik, Zulfiqar Ali Malik, Tanveer Hussain and Muhammad Babar Ramzan
The aim of this research is to study the effect of clothing manufacturing parameters, that is, stitch type, stitch
density, sewing thread type and washing type on the dimensional stability of single jersey knitted garment. Single
jersey bleached fabric, made from Ne 32 cotton combed ring spun yarn, was used to make 32 medium size crew
neck T-shirts selecting two levels of stitch type, stitch density, sewing thread type and wash type according to the
experimental design. After constructing the garments, four critical measurements of each garment, that is, body
length, body width, across shoulder and sleeve length were measured. The constructed garments were divided
into two equal groups. One group was washed with water and the other group was washed using a detergent.
After washing, drying and tumbling, the same critical measurements of each garment were taken and the percent
shrinkage was calculated. Analysis of data was done on responses of output variables against the input variables
using MINITAB. The results showed that three input variables: stitch type, stitch density and garment wash type
have significant effect on all the output variables.