4,844 research outputs found
Promoting information spreading by using contact memory
Promoting information spreading is a booming research topic in network
science community. However, the exiting studies about promoting information
spreading seldom took into account the human memory, which plays an important
role in the spreading dynamics. In this paper we propose a non-Markovian
information spreading model on complex networks, in which every informed node
contacts a neighbor by using the memory of neighbor's accumulated contact
numbers in the past. We systematically study the information spreading dynamics
on uncorrelated configuration networks and a group of real-world networks,
and find an effective contact strategy of promoting information spreading,
i.e., the informed nodes preferentially contact neighbors with small number of
accumulated contacts. According to the effective contact strategy, the high
degree nodes are more likely to be chosen as the contacted neighbors in the
early stage of the spreading, while in the late stage of the dynamics, the
nodes with small degrees are preferentially contacted. We also propose a
mean-field theory to describe our model, which qualitatively agrees well with
the stochastic simulations on both artificial and real-world networks.Comment: 6 pages, 6 figure
Implementing the 3E assessment model of sustainable development to investigate coastal pollution management: using PET recycling (bottle-to-fiber) as a case study
Recently, plastic pollution of the ocean has been garnering increasing attention. The United Nations considers the problem as a major issue, and the UN Environment Programme (UNEP) has launched a global "Clean Ocean" campaign. An estimated 51 trillion plastic particles can be found in our oceans, and the pollution has caused plastics to enter the food chain. This study investigates the life cycle of recycling waste PET (polyethylene terephthalate) bottles in the ocean to the regeneration of recycled raw materials in the process of producing blankets made from such materials. First, the activity data of the relevant literature was collected, and the life cycle assessment software Open LCA was used as the assessment tool. We assume that the functional unit is 1 kg of recycled PET bottles. Secondly, with the ILCD 2011 Midpoint impact assessment method for environmental impact analysis, we identify the impact of pollutants generated during the recycling process on the environment as follows: Photochemical ozone formation 7872256.41218/ kg NMVOC eq; Fresh-water ecotoxicity 240566129.10051/ CTUe; Human toxicity, cancer effects 120.28305/ CTUh; Human toxicity, non-cancer effects 1.53496/ CTUh. Finally, we conduct risk assessment using the 3E (Engineering, Environment and Economic) assessment model, and propose an overall recovery treatment optimization assessment model
New class of 3D topological insulator in double perovskite
We predict a new class of three-dimensional topological insulators (TIs) in
which the spin-orbit coupling (SOC) can more effectively generate a large band
gap at point. The band gap of conventional TI such as BiSe is
mainly limited by two factors, the strength of SOC and, from electronic
structure perspective, the band gap when SOC is absent. While the former is an
atomic property, we find that the latter can be minimized in a generic
rock-salt lattice model in which a stable crossing of bands {\it at} the Fermi
level along with band character inversion occurs for a range of parameters in
the absence of SOC. Thus, large-gap TI's or TI's comprised of lighter elements
can be expected. In fact, we find by performing first-principle calculations
that the model applies to a class of double perovskites ABiXO (A = Ca,
Sr, Ba; X = Br, I) and the band gap is predicted up to 0.55 eV. Besides, more
detailed calculations considering realistic surface structure indicate that the
Dirac cones are robust against the presence of dangling bond at the boundary
with a specific termination.Comment: submitted; title changed and new references added; see DOI for
published versio
Augmented visual feature modeling for matching in low-visibility based on cycle-labeling of Superpixel Flow
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