Wavelet Analysis of Resultant Velocity Belonging to Genuine and Forged Signatures

This study presents a wavelet analysis of resultant velocity features belonging to genuine and forged groups of signature sample. Signatures of individuals were initially classified based on visual human perceptions of their relative sizes, complexities, and legibilities of the genuine counterparts. Then, the resultant velocity was extracted and modeled through wavelet analysis from each sample. The wavelet signal was decomposed into several layers based on maximum overlap discrete wavelet transform (MODWT). Next, the zero crossing rate features were calculated from all the high wavelet sub‐bands. A total of seven hypotheses were then tested using a two‐way ANOVA testing methodology. Of these, four hypotheses were conducted to test for significance differences between distributions. In addition, three hypotheses were run to provide test for interaction between two factors of signature authentication versus perceived classification. The results demonstrated that both feature distributions belonging to genuine and forged groups of samples cannot be distinguished by themselves. Instead, they were significantly different under the influence of two other inherent factors, namely perceived size and legibility. Such new findings are useful information particularly in providing bases for forensic justifications in establishing the authenticity of handwritten signature specimens.     

Symmetric and asymmetric nexus between economic freedom and stock market development in Pakistan

Economic Change and Restructuring - This study investigates symmetric and asymmetric association between the economic freedom index and sustainable stock market development (SMD) in Pakistan....     

A Corridor of Power

正CPEC,the Long Term Plan,and the future of the China--Pakistan relationship Despite political events in the country created by some narrow vested interests,the Seventh Joint Coordination Committee(JCC)meeting on the ChinaPakistan Economic Corridor(CPEC)was successfully held a month and a half ago in Islamabad.     

Dark side of social media and academic performance of public sector schools students: Role of parental school support

Students are regularly engaged in several things at the same time during class and school time. They are using smartphones, tablets, laptops, and using social media on these devices while learning and attending class. However, there are some situations likely influenced by this, current study tests the influence of technostress, cyberbullying, and media multitasking in the context of students in technology‐saturated classrooms and how this is affecting their academic performance. This study further explored the buffering effects of parental school support on the relationship between technostress, cyberbullying, and student's performance. By using the person‐environment fit model, this study surveyed 248 public sector school students in two waves and examined the impact of these variables on student's academic performance. Results show that technostress, cyberbullying, and media multitasking have a negative impact on student performance, and school parental support moderates the negative relationship between technostress and student performance. Implications and contributions have also been discussed.