Abstract-Cryptography plays a vital role for ensuring secure communication between multiple entities. In many contemporary studies, researchers contributed towards identifying best cryptography mechanisms in terms of their performance results. Selection of cryptographic technique according to a particular context is a big question; to answer this question, many existing studies have claimed that technique selection is purely dependent on desired quality attributes such as efficiency and security. It has been identified that existing reviews are either focused only towards symmetric or asymmetric encryption types. Another limitation is found that a criterion for performance comparisons only covers common parameters. In this paper, we have evaluated the performance of different symmetric and asymmetric algorithms by covering multiple parameters such as encryption/decryption time, key generation time and file size. For evaluation purpose, we have performed simulations in a sample context in which multiple cryptography algorithms have been compared. Simulation results are visualized in a way that clearly depicts which algorithm is most suitable while achieving a particular quality attribute.

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Recent years witness the significant surge in awareness and exploitation of social media especially community Question and Answer (Q&A) websites by academicians and professionals. These sites are, large repositories of vast data, pawing ways to new avenues for research through applications of data mining and data analysis by investigation of trending topics and the topics of most attention of users. Educational Data Mining (EDM) techniques can be used to unveil potential of Community Q&A websites. Conventional Educational Data Mining approaches are concerned with generation of data through systematic ways and mined it for knowledge discovery to improve educational processes. This paper gives a novel idea to explore already generated data through millions of users having variety of expertise in their particular domains across a common platform like StackOverFlow (SO), a community Q&A website where users post questions and receive answers about particular problems. This study presents an EDM framework to classify community data into Software Engineering subjects. The framework classifies the SO posts according to the academic courses along with their best solutions to accommodate learners. Moreover, it gives teachers, instructors, educators and other EDM stakeholders an insight to pay more attention and focus on commonly occurring subject related problems and to design and manage of their courses delivery and teaching accordingly. The data mining framework performs preprocessing of data using NLP techniques and apply machine learning algorithms to classify data. Amongst all, SVM gives better performs with 72.06% accuracy. Evaluation measures like precision, recall and F-1 score also used to evaluate the best performing classifier.

To compare of functional outcomes in terms of post-operative mobility for unipolar versus bipolar un-cemented hemiarthroplasty in elderly patients with displaced intracapsular femoral neck fractures. Study Design: Randomized Control Trial.

Objectives: To compare of functional outcomes in terms of post-operativemobility for unipolar versus bipolar un-cemented hemiarthroplasty in elderly patients withdisplaced intracapsular femoral neck fractures. Study Design: Randomized Control Trial.Setting: Department of Orthopedics Bahawal Victoria Hospital, Bahawalpur. Period: April 2015to October 2016. Methodology: Sample size is (calculated by taking n6 =138, confidenceinterval 95, power of study 80, P1= 33%, P2=13%) 69 in each group. Sampling technique usedwas non probability consecutive sampling. All patients who meet the inclusion criteria presentingto orthopedic unit of Nishtar Hospital Multan with fracture neck of femur were selected for study.Patients were divided into two groups randomly by lottery method and enrolled for unipolaror bipolar hemiarthroplasty. Chi-square test was used to compare outcome variable in bothgroups. A p-value < 0.05 was considered statistically significant. Effect modifiers like age andsex was controlled by stratification. Chi square test was applied to see significant difference.Results: Overall, there were 100% (n=138) patients in this study, both genders. The mean ageof the patients was 66.35±4.29 years. (Range: 60 to 80years)Mean age and SD of group A (nowalking aid) was 54.52 ± 3.10 and in group B (walking aid) 54.99 ± 3.19. Time up go score wasnoted as successful 33.3% (n=46) and 66.7% (n=92) as unsuccessful. Walking aid was notedin 65.2% (n=90) patients. Functional outcome was noted as good in 26.8% (n=37) patientsand noted as bad in 73.2% (n=101) patients. Out of 100% (n=38) patients, good outcomewas 26.3% (n=10) unipolar and 73.7% (n=28) bipolar. Out of 100% (n=100) Bad outcomewas 59% unipolar and bipolar 41%. Conclusion: Functional outcome in term of mobility isbetter in case of bipolar prosthesis as compared to unipolar. Thus in our conclusion bipolarprosthesis is preferred procedure as compared to unipolar hemiarthroplasty in treating patientswith displaced intracapsular femoral neck fracture.