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Isolation, Purification and Characterization of Proteins/Peptides and Biological Activities of Different Extracts from Ceasalpinia Bonducella

Thesis Info

Access Option

External Link

Author

Khan, Mr. Hidayatullah

Program

PhD

Institute

Gomal University

City

Dera Ismail Khan

Province

KPK

Country

Pakistan

Thesis Completing Year

2012

Thesis Completion Status

Completed

Subject

Biochemistry

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/14109/1/7198H.PDF

Added

2021-02-17 19:49:13

Modified

2023-01-06 19:20:37

ARI ID

1676726557719

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Strategic Flexibility and its Impact on Raising the Performance of Banks

Strategic issues are the core of the work of business organizations and occupy the main pillar of the work of commercial banks, whose fields of work and their competitive environment have developed. Strategic flexibility has become an urgent and binding issue for the commercial banking sector to keep pace with environmental changes and developments and raise the performance of banks to keep pace with environmental developments. The research aims to delve into two very important variables by doing The commercial banking sector, which is flexibility   The strategy and performance of the banks. Six commercial banks were chosen to be happy with the research (Baghdad, Iraqi investment, Gulf, investment development, Al-Mansour, Babylon). A member of bank managers, people's officials, and accountants in commercial banks. The data were subjected to statistical analysis by applying the statistical program (spss). The results demonstrated an impact on the overall level of the two variables. The study (strategic flexibility, bank performance) The findings revealed the existence of relationships between (banking service flexibility, competitive flexibility, investment flexibility, and human resource flexibility). And bank performance at the sub-dimension level (financial dimension, customer dimension, internal operations dimension, education and growth dimension). The study came to a set of conclusions and suggestions. 

Fingerprint Distortion Removal and Enhancement by Effective Use of Contextual Filtering

Automated personal authentication has become increasingly important in our information driven society and in this regard fingerprint based personal identification is considered to be the most effective tool. In order to ensure reliable fingerprint identification and improve fingerprint ridge structure, novel fingerprint enhancement approaches are proposed based on local adaptive contextual filtering. This dissertation presents the aims and objectives of the research along with the motivation and proposed research approaches for fingerprint enhancement mentioned below. In the first part of this research, a twofold enhancement technique is proposed that involves processing both in frequency and spatial domain. The fingerprint image is first filtered in frequency domain and then local directional filtering in spatial domain is applied to obtain enhanced fingerprint. Two major advantages of the proposed enhancement technique are; avoiding the hazards of frequency estimation errors and making spatial domain filtering quite simple by using a global 1D Gaussian smoothing filter. In order to determine the performance evaluation of the proposed enhancement, extensive evaluation of the proposed method against well-known enhancement approaches has been carried out on publicly available standard databases. Experimental results demonstrate that proposed enhancement performs better as compared to other well-known enhancement techniques. In the second part of this work, a fingerprint image with non-uniform ridge frequencies is considered as a 2-D dynamic signal. A non-uniform stress on the sensor’s sensing area applied during fingerprint acquisition may result in a nonlinear distortion that disturbs the local frequency of ridges, adversely affecting the matching performance. This study presents a new approach based on short time Fourier transform (STFT) analysis and local adaptive contextual filtering for frequency distortion removal and enhancement. In the proposed approach, the whole image is divided into sub-images and local dominant frequency band and orientation are estimated. Gaussian Directional band pass filtering is then adaptively applied in frequency domain. These filtered sub-images are then combined using our proposed technique to obtain the enhanced fingerprint image of high ridge quality and uniform inter-ridge distance. Experimental results show efficacy of the proposed enhancement technique.