Effect of varying the delay distribution in different classes of networks: random, scale-free, and small-world

Networks, and associative properties, prevalent in natural and artificial systems have been investigated extensively. A common method for network analysis is based on graph theory because graphs naturally represent the relationship between objects in a network. In this context, three classes of networks are frequently investigated: random, scale-free, and small-world network. The three classes of networks have been studied extensively, to find properties and to analyze the structure of each network type using various measurements. Despite that all real networks have time delays, researchers relying on graph theory commonly disregarded delay or considered them only as being homogeneous. Delay cannot be ignored because delay has a critical role in many types of networks, such as the internet, business networks, and biological networks. The role and effect of delay, however, are still not clearly understood in the context of graph-based analysis. Furthermore, graph-based analysis of networks containing delay has not been attempted so far. In this thesis, I compared multiple network structures with delay in a graph context. I incorporated delay information into the network topology by a simple technique called temporal augmentation. Also, I investigated the effect of varying the delay distribution in these different network classes with added delay. In this thesis, several experiments were conducted based on two network construction methods (naive, and modified conventional method) and three types of delay distributions (peaked, uniform, and unimodal), with different network parameters. From the experiments, I found that the effect of the number of hubs in scale-free network was negligible, while the role of neighborhood size in small-world networks was significant. Also, neighborhood size affect smallworldness of networks. Effect of delay was expressed differently based on different patterns of delay distribution and network structures. Networks with uniformly randomly distributed delay had the best robustness in dealing with delay. Unimodal cases had larger increases in shortest path sum than uniform case. Peaked cases showed the worst increase in shortest path sum. Also, sparse networks with high smallworldness was less affected by delay while dense networks with high smallworldness more affected by delay. These results extended understanding of the relationship between network structures and delay

Effect of varying the delay distribution in different classes of networks: random, scale-free, and small-world

Networks, and associative properties, prevalent in natural and artificial systems have been investigated extensively. A common method for network analysis is based on graph theory because graphs naturally represent the relationship between objects in a network. In this context, three classes of networks are frequently investigated: random, scale-free, and small-world network. The three classes of networks have been studied extensively, to find properties and to analyze the structure of each network type using various measurements. Despite that all real networks have time delays, researchers relying on graph theory commonly disregarded delay or considered them only as being homogeneous. Delay cannot be ignored because delay has a critical role in many types of networks, such as the internet, business networks, and biological networks. The role and effect of delay, however, are still not clearly understood in the context of graph-based analysis. Furthermore, graph-based analysis of networks containing delay has not been attempted so far. In this thesis, I compared multiple network structures with delay in a graph context. I incorporated delay information into the network topology by a simple technique called temporal augmentation. Also, I investigated the effect of varying the delay distribution in these different network classes with added delay. In this thesis, several experiments were conducted based on two network construction methods (naive, and modified conventional method) and three types of delay distributions (peaked, uniform, and unimodal), with different network parameters. From the experiments, I found that the effect of the number of hubs in scale-free network was negligible, while the role of neighborhood size in small-world networks was significant. Also, neighborhood size affect smallworldness of networks. Effect of delay was expressed differently based on different patterns of delay distribution and network structures. Networks with uniformly randomly distributed delay had the best robustness in dealing with delay. Unimodal cases had larger increases in shortest path sum than uniform case. Peaked cases showed the worst increase in shortest path sum. Also, sparse networks with high smallworldness was less affected by delay while dense networks with high smallworldness more affected by delay. These results extended understanding of the relationship between network structures and delay

Effects of varying the delay distribution in random, scale-free, and small-world networks

Graph-theory-based approaches have been used with great success when analyzing abstract properties of natural and artificial networks. However, these approaches have not factored in delay, which plays an important role in real-world networks. In this paper, we (1) developed a simple yet powerful method to include delay in graphbased analysis of networks, and (2) evaluated how different classes of networks (random, scale-free, and small-world) behave under different forms of delay (peaked, unimodal, or uniform delay distribution). We compared results from synthetically generated networks using two different sets of algorithms for network construction. In the first approach (naive), we generated directed graphs following the literal definition of the three types of networks. In the second approach (modified conventional), we adapted methods by Erdös–Rényi (random), Barabasi (scale-free), and Watts– Strogatz (small-world). With these networks, we investigated the effect of adding and varying the delay distribution. As a measure of robustness to added delay, we calculated the ratio between the sum of shortest path length between every node. Our main findings show that different types of network show different levels of robustness, but the shape of the delay distribution has more influence on the overall result, where uniformly randomly distributed delay showed the most robust result. Other network parameters such as neighborhood size in small-world networks were also found to play a key role in delay tolerance. These results are expected to extend our understanding of the relationship between network structure and delay

Crowned dens syndrome as a rare cause of anterior neck pain after transurethral resection of the prostate: a case report

We describe the case of a 79-year-old man who presented with progressive aggravation of severe axial neck pain and fever 3 days after transurethral resection of the prostate (TURP), despite maintaining neutral neck posture during surgery. Laboratory examination revealed markedly elevated C-reactive protein levels and erythrocyte sedimentation rates. Computed tomography revealed crown-like calcifications surrounding the odontoid process. We diagnosed crowned dens syndrome (CDS) as the cause of acute-onset neck pain after TURP. The patient was treated with nonsteroidal anti-inflammatory drugs for 5 days, and his symptoms resolved completely. CDS is a rare disease characterized by calcific deposits around the odontoid process with acute onset of severe neck pain and restricted motion. Evidence of inflammation on serological testing and fever are typical of CDS. However, the prevalence and pathophysiology of CDS remain unclear. We hypothesized that systemic inflammation after prostate surgery may have induced a local inflammatory response involving calcification around the odontoid process

A Case of Poikiloderma Vasculare Atrophicans

Poikiloderma vasculare atrophicans (PVA) is a rare variant of mycosis fungoides, and is characterized by generalized hyperkeratotic scaly papules in net-like, retiform, or zebra-like patterns. A 59-year-old Korean woman presented with asymptomatic, erythematous-to-violaceous, reticulated confluent papules on the trunk and extremities. Skin lesions were initially limited to both thighs 25 years ago, and then spread slowly over her body. Histopathological examination showed band-like inflammatory infiltrations and epidermotropism consisting of mostly CD8+ lymphocytes. Based on the clinical manifestations and histological findings, the diagnosis of PVA was made. We herein report on a case of PVA, which featured a long-benign course without progression into the tumor stage over a period of 30 years

The efficacy and safety of Montelukast sodium in the prevention of bronchopulmonary dysplasia

PurposeThe purpose of this study was to evaluate the efficacy and safety of Montelukast sodium in the prevention of bronchopulmonarydysplasia (BPD).MethodsThe Interventional study was designed as a multicenter, prospective, and randomized trial, with open labeled and parallel-experimental groups, 66 infants were enrolled and allocated to either the case group (n=30) or the control group (n=36) based on gestational age (GA). Infants in the case group were given Montelukast sodium (Singulair) based on their body weight (BW). Zero week was defined as the start time of the study.ResultsThe incidence of moderate to severe BPD was not different between the groups (case group: 13 of 30 [43.3%] vs. control group: 19 of 36 [52.8%], P=0.912). Additionally, secondary outcomes such as ventilation index, mean airway pressure and resort to systemic steroids were not significantly different. There were no serious adverse drug reactions in either group, and furthermore the rate of occurrence of mild drug related-events were not significantly different (case group: 10 of 42 [23.8%] vs. control group: 6 of 48 (15.8%), P=0.414).ConclusionMontelukast was not effective in reducing moderate or severe BPD. There were no significant adverse drug events associated with Montelukast treatment

Isolation and characterization of canine umbilical cord blood-derived mesenchymal stem cells

Human umbilical cord blood-derived mesenchymal stem cells (MSCs) are known to possess the potential for multiple differentiations abilities in vitro and in vivo. In canine system, studying stem cell therapy is important, but so far, stem cells from canine were not identified and characterized. In this study, we successfully isolated and characterized MSCs from the canine umbilical cord and its fetal blood. Canine MSCs (cMSCs) were grown in medium containing low glucose DMEM with 20% FBS. The cMSCs have stem cells expression patterns which are concerned with MSCs surface markers by fluorescence-activated cell sorter analysis. The cMSCs had multipotent abilities. In the neuronal differentiation study, the cMSCs expressed the neuronal markers glial fibrillary acidic protein (GFAP), neuronal class III β tubulin (Tuj-1), neurofilament M (NF160) in the basal culture media. After neuronal differentiation, the cMSCs expressed the neuronal markers Nestin, GFAP, Tuj-1, microtubule-associated protein 2, NF160. In the osteogenic & chondrogenic differentiation studies, cMSCs were stained with alizarin red and toluidine blue staining, respectively. With osteogenic differentiation, the cMSCs presented osteoblastic differentiation genes by RT-PCR. This finding also suggests that cMSCs might have the ability to differentiate multipotentially. It was concluded that isolated MSCs from canine cord blood have multipotential differentiation abilities. Therefore, it is suggested that cMSCs may represent a be a good model system for stem cell biology and could be useful as a therapeutic modality for canine incurable or intractable diseases, including spinal cord injuries in future regenerative medicine studies

Discutindo a educação ambiental no cotidiano escolar: desenvolvimento de projetos na escola formação inicial e continuada de professores

A presente pesquisa buscou discutir como a Educação Ambiental (EA) vem sendo trabalhada, no Ensino Fundamental e como os docentes desta escola compreendem e vem inserindo a EA no cotidiano escolar., em uma escola estadual do município de Tangará da Serra/MT, Brasil. Para tanto, realizou-se entrevistas com os professores que fazem parte de um projeto interdisciplinar de EA na escola pesquisada. Verificou-se que o projeto da escola não vem conseguindo alcançar os objetivos propostos por: desconhecimento do mesmo, pelos professores; formação deficiente dos professores, não entendimento da EA como processo de ensino-aprendizagem, falta de recursos didáticos, planejamento inadequado das atividades. A partir dessa constatação, procurou-se debater a impossibilidade de tratar do tema fora do trabalho interdisciplinar, bem como, e principalmente, a importância de um estudo mais aprofundado de EA, vinculando teoria e prática, tanto na formação docente, como em projetos escolares, a fim de fugir do tradicional vínculo “EA e ecologia, lixo e horta”.Facultad de Humanidades y Ciencias de la Educació

EFFECT OF VARYING THE DELAY DISTRIBUTION IN DIFFERENT CLASSES OF NETWORKS: Random . . .

Networks, and associative properties, prevalent in natural and artificial systems have been investigated extensively. A common method for network analysis is based on graph theory because graphs naturally represent the relationship between objects in a network. In this context, three classes of networks are frequently investigated: random, scale-free, and small-world network. The three classes of networks have been studied extensively, to find properties and to analyze the structure of each network type using various measurements. Despite that all real networks have time delays, researchers relying on graph theory commonly disregarded delay or considered them only as being homogeneous. Delay cannot be ignored because delay has a critical role in many types of networks, such as the internet, business networks, and biological networks. The role and effect of delay, however, are still not clearly understood in the context of graph-based analysis. Furthermore, graph-based analysis of networks containing delay has not been attempted so far. In this thesis, I compared multiple network structures with delay in a graph context. I incorporated delay informatio