Mathematical modeling and computation of dengue fever caused by climate change in Jeju Island

Department of Mathematical SciencesDengue fever which is a vector-borne infectious disease that spreads rapidly in subtropical or tropical countries is rarely recognized as a public health concern in South Korea, especially Jeju Island which is target district for study. However, there is a high possibility that the outbreak of dengue fever occurs in Korea within a few years since global warming is accelerating and the medium mosquitoes for dengue are also inhabit in Korea. The purpose of this study is predicting how many patients would occur when there is an outbreak of dengue fever by using climate change scenario. Based on RCPs provided by Korea Meterological Administration, the parameters related to mosquitoes represented as fitting functions and specific function by using climatic factors such as temperature, precipitation, and relative humidity are formulated. The simulation for deterministic models is performed by using two methods, one of applying climate data of all the four seasons, and the other applying climate data of seasons excluding winter. This study show the relation between climate change and outbreaks of dengue, which could be an important indicator to establish polices to reduce spread of the disease

The Effect of Organizational Structure on Open Innovation in GitHub

Recently, open innovation has received increasing attention in organizational research. Previous studies on open innovation have emphasized the importance of external suggestions and both inbound and outbound open innovation; however, they have been more focused on inbound open innovation. This study employs the S-O-R (Stimulus-Organism-Response) framework for better understanding of open innovation, and attempts to decipher the mechanism of open innovation based on real field data from an open source context especially in GitHub. Analysis results show that the structure of decision making should consider managing external suggestions and encouraging both inbound and outbound open innovation

Pilot Beam Sequence Design for Channel Estimation in Millimeter-Wave MIMO Systems: A POMDP Framework

In this paper, adaptive pilot beam sequence design for channel estimation in large millimeter-wave (mmWave) MIMO systems is considered. By exploiting the sparsity of mmWave MIMO channels with the virtual channel representation and imposing a Markovian random walk assumption on the physical movement of the line-of-sight (LOS) and reflection clusters, it is shown that the sparse channel estimation problem in large mmWave MIMO systems reduces to a sequential detection problem that finds the locations and values of the non-zero-valued bins in a two-dimensional rectangular grid, and the optimal adaptive pilot design problem can be cast into the framework of a partially observable Markov decision process (POMDP). Under the POMDP framework, an optimal adaptive pilot beam sequence design method is obtained to maximize the accumulated transmission data rate for a given period of time. Numerical results are provided to validate our pilot signal design method and they show that the proposed method yields good performance.Comment: 6 pages, 6 figures, submitted to IEEE ICC 201

Two-dimensional higher-order topology in monolayer graphdiyne

Based on first-principles calculations and tight-binding model analysis, we propose monolayer graphdiyne as a candidate material for a two-dimensional higher-order topological insulator protected by inversion symmetry. Despite the absence of chiral symmetry, the higher-order topology of monolayer graphdiyne is manifested in the filling anomaly and charge accumulation at two corners. Although its low energy band structure can be properly described by the tight-binding Hamiltonian constructed by using only the $p_z$ orbital of each atom, the corresponding bulk band topology is trivial. The nontrivial bulk topology can be correctly captured only when the contribution from the core levels derived from $p_{x,y}$ and $s$ orbitals are included, which is further confirmed by the Wilson loop calculations. We also show that the higher-order band topology of a monolayer graphdyine gives rise to the nontrivial band topology of the corresponding three-dimensional material, ABC-stacked graphdiyne, which hosts monopole nodal lines and hinge states.Comment: 19 pages, 4 figures, new titl

The Effect of Organizational Structure on Open Innovation: A Quadratic Equation

AbstractOpen innovation has recently begun to receive increasing attention in organizational research. Studies on open innovation have emphasized the impact of organizational structure on both inbound and outbound open innovation but have tended to focus on the former. This study attempts to provide a better understanding of open innovation within the context of open source by examining 2,811 projects, especially in GitHub. The analysis results reveal that the decentralization of decision-making encourages both inbound and outbound open innovation. The impact of the decentralization of decision-making differs between inbound and outbound open innovation, a finding that both scholars and practitioners must consider

Forming a Dimension of Digital Human Rights: Research Agenda for the Right to be Forgotten

The right to be forgotten has emerged so as to build legal foundations for data subjects to be relieved from misappropriation of personal data on the Internet. However, studies of information systems (IS) on the right to be forgotten and related issues are rare as agreements of the right are diverse according to legal and cultural backgrounds. IS researchers should conduct both explorative and exploitative research in order to build a firm knowledge base for a better understanding of the right to be forgotten from the IS perspective. Doing so would help academia, legislators, and governments, and individuals to understand effects of the right on social, technological and psychological point of view. By suggesting a research agenda to investigate the right to be forgotten, this study sheds light on IS research direction of the right to be forgotten

Too Crowded to Disclose! Exploring the Relationship Between Online Crowdedness and Self-Disclosure

Nowadays, people communicate with many others online. Of the online sites, product review pages have become an important communication medium on which consumers share information about a product. Drawing upon this trend, we examined the factors that affect reviewers’ self-disclosure behavior. Prior studies have found that privacy behaviors such as self-disclosure are affected by diverse contextual factors. In this study, we propose that online crowdedness is an important contextual factor for self-disclosure behavior. Using review data from the largest online apparel rental site in the U.S., we empirically explored the relationship between online crowdedness and self-disclosure behavior. The result shows that online crowdedness can discourage self-disclosure behavior