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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.
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 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.
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.
Arsenic(V) biosorption by charred orange peel in aqueous environments
Abid, Muhammad,Niazi, Nabeel Khan,Bibi, Irshad,Farooqi, Abida,Ok, Yong Sik,Kunhikrishnan, Anitha,Ali, Fawad,Ali, Shafaqat,Igalavithana, Avanthi Deshani,Arshad, Muhammad Taylor Francis 2016 International journal of phytoremediation Vol.18 No.5
Abid, Muhammad Adnan,Kucharski, Fred,Almazroui, Mansour,Kang, In‐,Sik John WileySons, Ltd 2016 Quarterly journal of the Royal Meteorological Soci Vol.142 No.694
<P>Interannual winter rainfall variability and its predictability are analysed over the Arabian Peninsula region by using observed and hindcast datasets from the state-of-the-art European Centre for Medium-Range Weather Forecasts (ECMWF) seasonal prediction System 4 for the period 1981-2010. An Arabian winter monsoon index (AWMI) is defined to highlight the Arabian Peninsula as the most representative region for the Northern Hemispheric winter dominating the summer rainfall. The observations show that the rainfall variability is relatively large over the northeast of the Arabian Peninsula. The correlation coefficient between the Nino3.4 index and rainfall in this region is 0.33, statistically significant at the 90% level, suggesting potentially some modest predictability, and indicating that El Nino increases and La Nina decreases the rainfall. Regression analysis shows that upper-level cyclonic circulation anomalies that are forced by El Nino Southern Oscillation (ENSO) are responsible for the winter rainfall anomalies over the Arabian region. The stronger (weaker) mean transient-eddy activity related to the upper-level trough induced by the warm (cold) sea-surface temperatures during El Nino (La Nina) tends to increase (decrease) the rainfall in the region. The model hindcast dataset reproduces the ENSO-rainfall connection. The seasonal mean predictability of the northeast Arabian rainfall index is 0.35, statistically significant at the 95% level. It is shown that the noise variance is larger than the signal over the Arabian Peninsula region, which tends to limit the prediction skill. The potential predictability is generally increased in ENSO years and is, in particular, larger during La Nina compared to El Nino years in the region. Furthermore, central Pacific ENSO events and ENSO events with weak signals in the Indian Ocean tend to increase predictability over the Arabian region.</P>
Protocol-Aware Radio Frequency Jamming in Wi-Fi and Commercial Wireless Networks
Abid Hussain,Nazar A. Saqib,Usman Qamar,Muhammad Zia,Hassan Mahmood 한국통신학회 2014 Journal of communications and networks Vol.16 No.4
Radio frequency (RF) jamming is a denial of serviceattack targeted at wireless networks. In resource-hungry scenarioswith constant traffic demand, jamming can create connectivityproblems and seriously affect communication. Therefore, the vulnerabilitiesof wireless networks must be studied. In this study, weinvestigate a particular type of RF jamming that exploits the semanticsof physical (PHY) andmedium access control (MAC) layerprotocols. This can be extended to any wireless communication networkwhose protocol characteristics and operating frequencies areknown to the attacker. We propose two efficient jamming techniques:A low-data-rate random jamming and a shot-noise basedprotocol-aware RF jamming. Both techniques use shot-noise pulsesto disrupt ongoing transmission ensuring they are energy efficient,and they significantly reduce the detection probability of the jammer. Further, we derived the tight upper bound on the durationand the number of shot-noise pulses for Wi-Fi, GSM, and WiMaxnetworks. The proposed model takes consider the channel accessmechanism employed at the MAC layer, data transmission rate,PHY/MAC layer modulation and channel coding schemes. Moreover,we analyze the effect of different packet sizes on the proposedjamming methodologies. The proposed jamming attack modelshave been experimentally evaluated for 802.11b networks on an actualtestbed environment by transmitting data packets of varyingsizes. The achieved results clearly demonstrate a considerable increasein the overall jamming efficiency of the proposed protocolawarejammer in terms of packet delivery ratio, energy expenditureand detection probabilities over contemporary jammingmethodsprovided in the literature.
Abid Farooq,Surendar Moogi,장성호,KANNAPU HARI PRASAD REDDY,Soheil Valizadeh,Ashfaq Ahmed,Su Shiung Lam,박영권 한국공업화학회 2021 Journal of Industrial and Engineering Chemistry Vol.94 No.-
Steam-gasification of linear low-density polyethylene (LLDPE) waste to hydrogen-rich gas has beenstudied systematically over nickel (10 wt.%) loaded on a variety of supports (Al2O3, CeO2, and CeO2-ZrO2)synthesized using a novel solvent deficient method (SDM). The hydrogen selectivity order of the catalystswas reported as Ni/CeO2-ZrO2>Ni/CeO2>Ni/Al2O3. The highest catalytic H2 selectivity of the Ni/CeO2-ZrO2 catalyst was reported to be76 vol.%, and was attributed to the smaller nickel crystals that werefinely dispersed on the support, and to formation of Ce1-xZrxO2-d solid solutions. The Ce1-xZrxO2-d solidsolution in the Ni/CeO2-ZrO2 catalyst was observed to be bi-functional, thus reflecting the acceleration ofthe water gas shift and the oxidation of carbon to CO and CO2. The better resistance of the Ni/CeO2-ZrO2catalyst towards coke deposition also indicated its potential for commercial-scale applications for thesteam gasification of plastics. Therefore, this research provides an advanced route to recycle LLDPE plasticwaste into hydrogen fuel, which presents both economical and environmental benefits.