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Nature of Complex Network of Dengue Epidemic as a Scale-Free Network
Hafiz Abid Mahmood Malik,Faiza Abid,Nadeem Mahmood,Mohamed Ridza Wahiddin,Asif Malik 대한의료정보학회 2019 Healthcare Informatics Research Vol.25 No.3
Objectives: Dengue epidemic is a dynamic and complex phenomenon that has gained considerable attention due to its injurious effects. The focus of this study is to statically analyze the nature of the dengue epidemic network in terms of whether it follows the features of a scale-free network or a random network. Methods: A multifarious network of Aedes aegypti is addressed keeping the viewpoint of a complex system and modelled as a network. The dengue network has been transformed into a one-mode network from a two-mode network by utilizing projection methods. Furthermore, three network features have been analyzed, the power-law, clustering coefficient, and network visualization. In addition, five methods have been applied to calculate the global clustering coefficient. Results: It has been observed that dengue epidemic follows a powerlaw, with the value of its exponent γ = –2.1. The value of the clustering coefficient is high for dengue cases, as weight of links. The minimum method showed the highest value among the methods used to calculate the coefficient. Network visualization showed the main areas. Moreover, the dengue situation did not remain the same throughout the observed period. Conclusions: The results showed that the network topology exhibits the features of a scale-free network instead of a random network. Focal hubs are highlighted and the critical period is found. Outcomes are important for the researchers, health officials, and policy makers who deal with arbovirus epidemic diseases. Zika virus and Chikungunya virus can also be modelled and analyzed in this manner.
Train Scheduling and Rescheduling In Pakistan
Abid, Malik Muneeb,Khan, Muhammad Babar The Korean Society for Railway 2013 International Journal of Railway Vol.6 No.1
This paper provides an overview of Pakistan Railways scheduling and rescheduling. First of all, Pakistan Railways is introduced with its brief history and importance in this country. Assets of this network with passengers and freight using this are given. Current hope less situation is leading to privatization of this system as well as promoting short distance traveler to use road and Government efforts to retain is also presented. Train scheduling in Pakistan is being done manually, based on manual time distance graph preparation and resolution of conflicts based on manager's experience and ability. In Real-time management of this traffic Lahore head office is connected with six control stations in the Pakistan, decision for resolution of any disturbance is coordinated among them. It is recommended that computer aided tools must be developed for this system to help traffic managers and it is needed to invest on the segments to increase their speed limits which might attract passengers to use this mode of transportation with high priority.
Protein Transmission, Seeding and Degradation: Key Steps for α-Synuclein Prion-Like Propagation
Abid Oueslati,Methodios Ximerakis,Kostas Vekrellis 한국뇌신경과학회 2014 Experimental Neurobiology Vol.23 No.4
Converging lines of evidence suggest that cell-to-cell transmission and the self-propagation of pathogenic amyloidogenic proteinsplay a central role in the initiation and the progression of several neurodegenerative disorders. This “prion-like” hypothesis hasbeen recently reported for α-synuclein, a presynaptic protein implicated in the pathogenesis of Parkinson’s disease (PD) and relateddisorders. This review summarizes recent findings on α-synuclein prion-like propagation, focusing on its transmission, seeding anddegradation and discusses some key questions that remain to be explored. Understanding how α-synuclein exits cells and propagatesfrom one brain region to another will lead to the development of new therapeutic strategies for the treatment of PD, aiming atslowing or stopping the disease progression.
Abid Ali Fareedi,Syed Hassan 제어로봇시스템학회 2014 제어로봇시스템학회 국제학술대회 논문집 Vol.2014 No.10
The aim of this study is to make collaborative networks of practitioners and researchers especially for healthcare community by using semantic web standards such as FOAF, etc. The proposed collaborative ontology modeling helps to resolve semantic alignment between distributed developed vocabularies/ontologies with domain ontology (cardiac-process) by using collaborative methodology. This collaborative ontology mechanism helps to find specific personnel who are involved in certain tasks, activities with assigned roles and involved in some research projects and attached with health-oriented social community. This approach also helps to publish domain factual knowledge with some link open data (LOD) resources, e.g. DBpedia for reusability.
Abid Ali,Ki Young Kim 한국지질과학협의회 2016 Geosciences Journal Vol.20 No.6
To determine the near-surface shear wave velocities (Vs) and characterize seismic site conditions in Gangneung, on the east coast of South Korea, passive and active surface waves were recorded at 136 sites. Dispersion images of the Rayleigh waves were obtained by the spatial autocorrelation method and inverted to Vs models. From these one-dimensional Vs models, the depth to the soft bedrock, average Vs at the top of the bedrock, average Vs of the overburden layer, average Vs in the top 30-m interval (Vs30), and average resonance frequency were estimated to be 16 ± 1 m, 481 ± 14 m/s, 254 ± 5 m/s, 374 ± 16 m/s, and 5.5 ± 0.3 Hz, respectively. A lower estimate for Vs30 and a relatively thick overburden layer make the downtown and agricultural areas in the region more prone to significant ground amplifications. Multiple regression analysis of Vs30 yielded a correlation coefficient of 0.79 with respect to the variables of elevation and topographic slope. Using this proxy-based empirical relationship, Vs30 values were computed at 13,583 sites covering the entire city. A microzonation map, constructed based on the Vs30 data, indicates that the ground in Gangneung is categorized mainly into B (44%), C (39%), and D (15%) National Earthquake Hazards Reduction Program site classes, with minor constituents assigned to the A and E classes.
Abid Ali Lashari,이광성 대한수학회 2017 대한수학회지 Vol.54 No.3
A deterministic model for the spread of pine wilt disease with asymptomatic carrier trees in the host pine population is designed and rigorously analyzed. We have taken four different classes for the trees, namely susceptible, exposed, asymptomatic carrier and infected, and two different classes for the vector population, namely susceptible and infected. A complete global analysis of the model is given, which reveals that the global dynamics of the disease is completely determined by the associated basic reproduction number, denoted by $\mathcal{R}_0$. If $\mathcal{R}_0$ is less than one, the disease-free equilibrium is globally asymptotically stable, and in such a case, the endemic equilibrium does not exist. If $\mathcal{R}_0$ is greater than one, the disease persists and the unique endemic equilibrium is globally asymptotically stable.
Depth edge detection by image-based smoothing and morphological operations
Abid Hasan, Syed Mohammad,Ko, Kwanghee Society for Computational Design and Engineering 2016 Journal of computational design and engineering Vol.3 No.3
Since 3D measurement technologies have been widely used in manufacturing industries edge detection in a depth image plays an important role in computer vision applications. In this paper, we have proposed an edge detection process in a depth image based on the image based smoothing and morphological operations. In this method we have used the principle of Median filtering, which has a renowned feature for edge preservation properties. The edge detection was done based on Canny Edge detection principle and was improvised with morphological operations, which are represented as combinations of erosion and dilation. Later, we compared our results with some existing methods and exhibited that this method produced better results. However, this method works in multiframe applications with effective framerates. Thus this technique will aid to detect edges robustly from depth images and contribute to promote applications in depth images such as object detection, object segmentation, etc.