Nature of complex network of dengue epidemic as a scale-free network

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. © 2019 The Korean Society of Medical Informatics

Digital Technologies for Learning at Allama Iqbal Open University (AIOU): Investigating Needs and Challenges

The present study investigated the need of digital technologies for the distance learners of AIOU (Allama Iqbal Open University), and the challenges in its implementation. Within mixed-method approach, an explanatory sequential design was employed to conduct this study. Quantitative data was collected through questionnaires from 963 students to find out the needs for digital technologies. Later 3 administrators and 1 library in-charge were interviewed to find out the challenges in its implementation. Quantitative data was analyzed using descriptive statistics. For qualitative data analysis, inductive analysis was done. Most of the students said that digital technologies were needed for increasing accessibility and flexibility of learning. The challenges for its implementation were in the requirement of diverse online learning resources, access, cost and lack of expertise. The paper recommended that there should be provision of portable devices to students with Wi-Fi, and guidance about its use. Annual need-assessment system was also suggested

Use of ICT and Students' Personal and Social Development at Higher Education Level

The substantive purpose of this study was to identify the effect of using ICT on students' personality development. Population of the study consisted of students of two universitiesof Lahore. Sample of the study comprised randomly selected 242 students. A self-developed and validated instrument was used for data collection. Instrument comprised two sections one contained demographic variables and other statements related to personality development of students.  A pilot study was conducted to validate the instrument. The reliability index (cronbach alpha) was .83 which is statistically significant. Data were analyzed through SPSS. t- test was run to identify mean difference in personality development of male and female students. ANOVA was applied to see mean difference in the responses of students, regarding their personality development in different programs. Results showed that use of ICT has a profound effect on Female students' personality. Results of ANOVA revealed that students of BBA department show more effect of ICT on their personality. Recommendations were made on the basis of findings

Sampled-Data Sliding Mode Control Design of Single- Link Flexible Joint Robotic Manipulator

International audienceIn this paper, we have designed a sampled data control law for the single-link flexible joint robotic manipulator using two different approaches. First, we have designed the sampled-data sliding mode control (SMC) based on the continuous time system. In the second approach, we have obtained the approximate discrete model of the system and then designed discrete sliding mode control based on this approximate system. Simulation results have been obtained and a performance comparison has been presented for both techniques

Robustness of dengue complex network under targeted versus random attack

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)

Green construction in India: gaining a deeper understanding

A workshop on green construction was organized in New Delhi in July 2008 by Jamia Millia University, India and University of Salford, U.K., aiming to increase 'green' practices that are environmentally friendly and energy efficient. The workshop included participants from regulatory bodies, public and private construction companies and researchers. The object of the workshop was to provide an opportunity to capture issues, challenges and research issues in green practices throughout the supply chain in the construction sector in India. The methodology constituted a survey that was provided to all participants, where eight questions were composed by the facilitators. The participants were asked about their views on voluntary and compulsory ways of assessment and audit of green implementation in India. The findings of the workshop featured major challenges, drivers, initiatives, and the ways of effective implementation as well as enforcement on the discussed topic

THE MEASUREMENT OF HIGH-SPEED RAILWAY (HSR)-PRECISION ENGINEERING

The paper proposed the optimization of the network construction timing of the control network according to the specific conditions of the survey route. Moreover, presented here are the adjustments according to the layout requirements of the control network layout process, strengthening the control of the line level base point during the construction process. Several optimization solutions are discussed for the special design of the level control before the construction of the long tunnel. It has been explained the methodology to introduce new Continuously Operating Reference Station (CORS) technology in railway survey and design with appropriately adjustment of the position requirements of the control network according to the specification. In order to carry out the special design of the levelling route with precision, it is advisable to set a certain stable reference point in the level control of the long line. The proposed methodology can effectively solve some problems existing in the current high-speed railway construction process, and make the precision measurement control network better for survey, design, construction, supervision and operation

Prevalence of raised Alanine Amino transaminase (ALT) in pregnant mothers: A Cross-sectional Study

Objective: To determine the prevalence of raised ALT, common causes, and associated fetomaternal morbidity  in pregnant mothers presenting, at cantonment general hospital Rawalpindi Materials and Methods: This was a cross-sectional study conducted at cantonment general hospital Rawalpindi from July 2016 till June 2017. Results: Out of 1924 women, 102 were identified with raised ALT making a prevalence of 5.3%. Sixty-one (59.8%) were booked. The hypertensive group which included severe preeclampsia, chronic hypertension with superimposed preeclampsia/eclampsia were 55(53.9%), intrahepatic cholestasis of pregnancy(ICP) 32(31.7%), acute viral hepatitis 9(8.8%), Acute fatty liver of pregnancy(AFLP) 2(1.96%), and unknown cause in 4(3.92%). Mean ALT levels were 54.1±6.94, 71.28±23.25, 84.22±27.82, 231.5±47.37 respectively. In four cases no definitive cause could be identified with the available tests were labeled as an unknown group, having a mean ALT level of 79.25±10.07. (p=0.01). Term delivery occurred in 71(69.6%), while 31(30.39%) were preterm. There was one termination of pregnancy. Vaginal birth occurred in 42(42.2%), and 53(51.9%) underwent emergency cesarean. There was one peripartum hysterectomy. Meconium stain of liquor was 19(18.6%). The birth weight of most babies 73(71.5%) was between 2-3 kilograms only three were ≤ 1 kilograms. Eight cases of postpartum hemorrhage, three maternal deaths, and six perinatal/early neonatal deaths were observed. Conclusion: Raised ALT in pregnancy leads to increased fetomaternal complications. Severe preeclampsia and obstetric cholestasis were the commonest causes. Women of younger age groups were having acute viral hepatitis. Timely recognition and diagnosis are essential to institute appropriate management strategies

Agricultural Land Expansion and Food Security in Pakistan: An Empirical Analysis

This study empirically investigates the impact of agricultural land, urbanization, GDP, food import, and credit to the agricultural sector on food security in Pakistan. The study employs Auto Regressive Distributive Lag Model (ARDL) bound testing procedure to estimate the impact of these factors on food security from the period1990 to 2016. Following the literature, we have employed two dimensions of food security: food availability and food accessibility. Food availability is measured by food supply (kcal/capita/day) while food accessibility is measured by food price indices. The results indicate that agricultural land, GDP growth, and credit to the agricultural sector have a positive and an increase in urban population has a negative impact on both dimensions of food security however, food imports have a positive impact on food availability and a negative on food accessibility in the country

Network Formation and Analysis of Dengue Complex Network

Several efforts have been made and are constantly being made to keep the Aedes aegypti virus under control. Numerous scholars are involved in the study of medicine, while others are working in computer science and mathematics to model the spread of this disease. This study will help to comprehend how this epidemic sickness behaves. A complex network has been established from the complex dengue phenomenon. We have evaluated dengue network topology by pondering scale-free network properties. The network’s resilience in tracking the dengue epidemic is measured by systematically removing nodes and links. The primary hubs of this network are emphasized, and the vulnerability of the network structure has been examined through an in-depth investigation of the dengue virus’s spreading behavior. Understanding the intricate web of dengue outbreaks relies heavily on geographic representation. The applied method on the dengue epidemic network and the results will be added as scientific additions to the literature on complex networks. Different network analysis metrics have been applied (closeness centrality, betweenness centrality, eigenvector centrality, network density), and the network’s stability has been evaluated. This network is extremely vulnerable to targeted attacks; results showed that after removing 8% of focal hubs, 34% of the network is destroyed