Purpose -The purpose of this paper is to study the Blasius flat plate with viscous dissipation in the presence of suction or injection effects in the boundary layer of a viscoelastic fluid. Design/methodology/approach -The governing partial differential equations are derived as a first order ordinary differential equation using similarity (Blasius) variables. Velocity profiles, temperature profiles, skin friction parameters, and heat transfer parameters are computed numerically for various values of the viscoelastic parameter K, the suction or injection parameter f w , the Prandtl number Pr, the Eckert number Ec, and the moving parameter l. Findings -The effects of the viscoelastic, moving, and suction/injection parameters on the skin friction and heat transfer of the flat plate are studied. The effects of these parameters on the velocity and temperature profiles are also presented for 0 # Pr # 3. Originality/value -To the best of the authors' knowledge, this important classical problem has not been studied before for the case of a viscoelastic fluid. Thus, the results are original and new for this type of fluid.

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Solving problems in mathematics does not involve a single method only. Using a multiple solution method can also assist students in seeking a solution. A multiple solution method is a method that can be applied in the process of teaching and learning in which students will learn a variety of methods to be applied in finding solutions for a single question. This paper reports a study conducted to review students’ views of the effects of the use of a multiple solution method in learning mathematics. The study used two approaches: the quantitative approach (Section A, B and C) and qualitative approach (Section D), in a questionnaire for collecting data. 100 students from a secondary school located in Klang, Selangor were selected as respondents in this study. The questionnaire focused on the perceptions of students in using a multiple solution method and consequently the effect towards students’ level of self-regulation. The Likert scale ranging from 1 (strongly disagree) to 4 (strongly agree) was used. All respondents were also instructed to indicate the challenges faced in the use of a multiple solution method in the open-ended questions. The results showed that students have a good perception on the use of a multiple solution method in mathematics learning. A multiple solution method can also affect students’ self-regulation. The findings of the open-ended questions show that which are the challenges faced by students when use multiple solution method are get confused because it has many methods, it is hard because students lack mathematics skill, and also involve time constraints because they need to memorize many methods.

Fraud detection is one of the important agendas in financial and insurance institutions to protect the institutions from fraudsters and loss. The losses to the financial institutions are huge, and the need to detect the fraud at an early stage is critical to the institutions. If the numbers of fraud are not properly managed, the impact may lead to the closure of the institutions. Many predictive analytic systems or models have been proposed to identify and detect the frauds. Hence, this paper examines the effect of different response variables of credit card history as the reference group which used an unsupervised scoring method namely an Identified Distribution (RIDIT) based on a statistically significant test. We illustrate the method using German Credit card dataset retrieved from UCI Machine Learning Data System. The result generates scores and significant value of chi-square test that reflect response variables being classified as reference group or comparison groups, which more or less affected by the response credit card history in fraud detection.