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cMapper: gene-centric connectivity mapper for EBI-RDF platform
Shoaib, Muhammad,Ansari, Adnan Ahmad,Ahn, Sung-Min Oxford University Press 2017 Bioinformatics Vol.33 No.2
<P>Results: cMapper allows biologists to search data entities in the EBI-RDF platform that are connected to genes or small molecules of interest in multiple biological contexts. The input to cMapper consists of a set of genes or small molecules, and the output are data entities in six independent EBI-RDF databases connected with the given genes or small molecules in the user's query. cMapper provides output to users in the form of a graph in which nodes represent data entities and the edges represent connections between data entities and inputted set of genes or small molecules. Furthermore, users can apply filters based on database, taxonomy, organ and pathways in order to focus on a core connectivity graph of their interest. Data entities from multiple databases are differentiated based on background colors. cMapper also enables users to investigate shared connections between genes or small molecules of interest. Users can view the output graph on a web browser or download it in either GraphML or JSON formats.</P>
The role of polymeric matrices on the performance of smart self-healing coatings: A review
Shoaib Ahmad,Sehrish Habib,Muddasir Nawaz,R.A. Shakoor,Ramazan Kahraman,Talal Mohammed Al Tahtamouni 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.124 No.-
Self-healing polymeric coating is a class of self-healing materials applied on the surface of a metal to providea dense barrier, to protect the metal from the corrosive environment. Currently, Self-healing polymermaterials are an emerging area of research due to their high attributes, including intrinsic and extrinsicmechanisms with autonomous/non-autonomous healing approaches, longer lifespan, eco-friendly, highdurability, and sustainability. The polymer coating matrix provides the efficient release of incorporatedself-healing agents after triggering due to the crack formation in the polymer matrix, which aids theself-healing performance of the polymeric matrices. A variety of studies have been reported in the literatureon self-healing coating matrices; however, none of them have been reported as such. This comprehensivereview covers; (1) the generations of self-healing, (2) types of mechanisms, (3) classificationbased on self-healing polymer matrices, (4) typical fabrication techniques, (5) potential applications,and some critical thoughts on the choice and design of the self-healing system.
Shoaib Muhammad,Salniza Md. Salleh,Maha Mohammed Yusr 한국유통과학회 2019 유통과학연구 Vol.17 No.1
Purpose – The purpose of this study is to examine the extent to which internal brand communication (IBC) impacts on brand commitment (BC). Research design, data, and methodology – A structured questionnaire has been built and distributed on a total sample of 650 banking staff working in five public banks in Pakistan. Results – The findings of PLS-SEM revealed that besides the indirect effect of internal brand communication (IBC) on brand commitment via brand knowledge, the study also exposes a direct positive effect of IBC on brand commitment. This study also reveals that brand commitment is affected by brand knowledge and internal brand communication practices. The result of mediation reveals that brand knowledge partially mediated the relationship between independent and dependent variables. Practical implications- This study empirically validates that internal brand communication and brand knowledge are prerequisites for brand commitment. Therefore, managers, particularly in-service enterprises, should provide sufficient IBC practices and appropriate brand knowledge to enhance employees’ brand commitment. Conclusions – The comprehensive analysis of the impact of brand knowledge on the proposed relationship. It further adds up to the branding literature, which is mostly qualitative and lacks empirical validation.
ADKAR Model of Change Management : A Case Study of K-Electric Limited in Pakistan
Shoaib Ul-Haq 동중앙아시아경상학회 2017 한몽경상연구 Vol.28 No.1
본 연구는 변화관리에서 ADKAR모형의 적용에 대하여 이론적으로 고찰하고, 파키스탄의 KEL의 변화관리에 ADKAR 모형을 적용한 사례를 분석한다. 이를 통하여 변화관리에 있어서 ADKAR모형을 적용할 때 유의해야 하는 이슈들에 대한 함의점을 도출한다. This study introduced ADKAR Model of change management, and analyzed K-Electric Limited (KEL) in Pakistan which applied ADKAR model to change management. Through case study of KEL, this study suggested some implications for ADKAR Model of change management.
Enhanced Pseudo Labeling Based on Bidirectional Object Tracker for Training Object Detection CNNs
Shoaib Sajid,HyungWon Kim 한국차세대컴퓨팅학회 2022 한국차세대컴퓨팅학회 학술대회 Vol.2022 No.10
This paper presents an improved approach to generate pseudo labels for unlabeled dataset. To properly train a network, large amount of dataset is required. The publicly available datasets are often not large enough or versatile. Although we can acquire a great deal of images from the internet, those images are not labeled. Conventionally, the generation of ground truth labels requires human effort which is very expensive and time-consuming. Recently, existing object detectors are being employed to automate the generation of labels, called pseudo labels. Such pseudo labels have poor accuracy, since most of the object detectors employ simplistic confidence thresholding, which tends to discard even good labels. This paper proposes an enhanced pseudo labeling technique that selects the predicted labels using a bi-directional tracking method instead of simplistic confidence thresholding. The proposed technique can recover many predicted labels that are actual good labels but would have been discarded due to their poor confidence. Our method can produce pseudo labels for new training dataset with higher accuracy than conventional pseudo labeling techniques, thus offering better training accuracy for object detector CNN models.
An Empirical Investigation of the Factors Influencing the Brand Extension of Lifebuoy
Shoaib Imtiaz,Jafar Ali,Changsu Kim,Hyun-Sook Ahn 한국디지털융합학회 2016 IJICTDC Vol.1 No.2
This paper investigates the factors affecting the brand extension of lifebuoy i.e. Brand equity, Brand loyalty, Brand image, customer innovativeness, Similarity fit, Brand association and Consumer behaviour. Quantitative approach was utilized in this paper. Data was collected from 150 students enrolled in graduate and post-graduate level programmes in Department of Management Sciences, The Islamia University of Bahawalpur, through convenience sampling approach with the help of structured verified questionnaire. A series of statistical techniques i.e. Cronbach’s alpha, Multicollinearity, Correlation and Regression analysis were applied with the help of software SPSS. The results depicts that extensions into same categories to the original brand tends to be readily accepted. Brand equity and Brand loyalty increases after successful brand extension and are highly positive correlated with brand extension. It also showed the relationship between the brand image and brand extension. Customer innovativeness and consumer behaviour speeds up after successful brand extension. Results showed that Similarity fit have positive effect on brand extension, and also brand extension increases with brand association. Important guiding principle for future research would be to include large pool of respondents for in-depth analysis to understand the effect of culture also. It is suggested that companies should launch extensions with high similarity fit. Moreover, greater effort is required to extend low equity brands. Finally, companies need to know what the perception of consumers about their brands is, and how they evaluate it. It is noted that feedback effects of the same brand extensions can vary due to cultural differences between consumers.