Dengue virus infection is one of those epidemic diseases that require much consideration in order to save the humankind from its unsafe impacts. According to the World Health Organization (WHO), 3.6 billion individuals are at risk because of the dengue virus sickness. Researchers are striving to comprehend the dengue threat. This study is a little commitment to those endeavors. To observe the robustness of the dengue network, we uprooted the links between nodes randomly and targeted by utilizing different centrality measures. The outcomes demonstrated that 5% targeted attack is equivalent to the result of 65% random assault, which showed the topology of this complex network validated a scale-free network instead of random network. Four centrality measures (Degree, Closeness, Betweenness, and Eigenvector) have been ascertained to look for focal hubs. It has been observed through the results in this study that robustness of a node and links depends on topology of the network. The dengue epidemic network presented robust behaviour under random attack, and this network turned out to be more vulnerable when the hubs of higher degree have higher probability to fail. Moreover, representation of this network has been projected, and hub removal impact has been shown on the real map of Gombak (Malaysia).
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 power-law, 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.
This research article examines the impact of economic, health, environmental, and social-economic factors on diverse forms of pro-environmental consumption: energy conservation, water conservation, and recycling. Primary data concerning these variables were collected from 430 individuals using a structured questionnaire following the cluster sampling methodology. Results indicate that one unit increase in environmental, economic, and health concerns improve pro-environment behavior by 52, 64, and 25 units, respectively. In contrast, a 1 unit increase in income deteriorates pro-environment behavior by 0.01 units. Education, age, gender, and owning a home have an insignificant impact on pro-environmental habits. The model explains a 52% variation in pro-environmental habits. The study recommends that effective electronic and social media campaigns increase environmental, economic, and health concerns and improve green behavior. More courses on environmental sustainability in schools and universities can effectively increase ecological knowledge and concerns.
Character rigging is a process of endowing a character with a set of custom manipulators and controls making it easy to animate by the animators. These controls consist of simple joints, handles, or even separate character selection windows. This research paper present an automated rigging system for quadruped characters with custom controls and manipulators for animation. The full character rigging mechanism is procedurally driven based on various principles and requirements used by the riggers and animators. The automation is achieved initially by creating widgets according to the character type. These widgets then can be customized by the rigger according to the character shape, height and proportion. Then joint locations for each body parts are calculated and widgets are replaced programmatically. Finally a complete and fully operational procedurally generated character control rig is created and attached with the underlying skeletal joints. The functionality and feasibility of the rig was analyzed from various source of actual character motion and a requirements criterion was met. The final rigged character provides an efficient and easy to manipulate control rig with no lagging and at high frame rate.
Field of complex network covers different social, technological, biological, scientific collaborative work, communication networks and many others. Among these networks, transportation network is an important indicator to measure the economic growth in any country. In this study different dynamics of Airport Network in Pakistan are analyzed by the complex network methodology. Dataset of air transportation has been collected from Civil Aviation Authority of Pakistan (CAA) and formatted to accomplish the complex network requirements. The network is formed to observe its different properties and compare these with their topological counterparts. In this, network nodes are represented by Airports of Pakistan while flights between them within a week are considered as edges. The behavior of degree distribution is observed as preferential attachment of nodes, which represented that few nodes are controlling overall network which emphasizes that Airport Network in Pakistan (ANP) follows power law. Clustering coefficient displayed the network as a clustered network. Result of short average path length highlights that Airport Network in Pakistan is small-world network. Study also signified the average nearest neighbour degree node, which explained that ANP exhibited disassortative mixing in nature which states that high degree nodes (airports) tend to connect to low degree nodes (airports). Interestingly, is has been observed that it is not necessary that the most connected node is also the most central node in degree centralities.
The main important issue in education curriculum currently is best quality in higher learning. The stakeholders and the growing competitive environment has have increased the demand for higher quality. Previously, Six Sigma has successfully been applied in the product and service improvement in the field of business, but still, this concept has not yet been adopted in the higher education. This study outlined the models that can be adopted by improving the quality of higher learning by applying this concept. Applying the six sigma principles, for instance, the continuous improvement, reduction in waste, and process improvement apply closely to the accreditation agencies and the higher education institutions missions. The study used the questionnaire instrument to collect the data randomly from a sample of (357) respondents representing the general staff of higher education institutes at Kingdom of Bahrain. It has been established that majority of the institutions (56.7 per cent) use six sigma model in improving quality. They invest in communicating the quality objectives to the employees. This is important as communicating quality objectives and the modalities of attaining them are important to the institution. Study recommended ensuring that there is elaboration and well-communicated quality policy, and it is essential to be known by all stakeholders.
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