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Effects of phase separation on dewaterability promotion and heavy metal removal of sewage sludge during bioleaching
In: Environmental science and pollution research: ESPR, Band 29, Heft 10, S. 13971-13982
ISSN: 1614-7499
SSRN
Experimental study on electrical properties of deep-sea cobalt-rich crusts
In: Journal of marine engineering & technology, S. 1-5
ISSN: 2056-8487
Variation of nonylphenol-degrading gene abundance and bacterial community structure in bioaugmented sediment microcosm
In: Environmental science and pollution research: ESPR, Band 22, Heft 3, S. 2342-2349
ISSN: 1614-7499
Automatic Segmentation of Kidney Ultrasound Images Using Deep Supervised Network
In: DSP-D-22-00103
SSRN
Robust Enhanced Indexation Optimization with Sparse Industry Layout Constraint
In: CAOR-D-23-00119
SSRN
Effects of nitrogen application rate and a nitrification inhibitor dicyandiamide on methanotroph abundance and methane uptake in a grazed pasture soil
In: Environmental science and pollution research: ESPR, Band 20, Heft 12, S. 8680-8689
ISSN: 1614-7499
Understanding Malicious Accounts in Online Political Discussions: A Multilayer Network Approach
Online social media platforms play an important role in political communication where users can freely express and exchange their political opinion. Political entities have leveraged social media platforms as essential channels to disseminate information, interact with voters, and even influence public opinion. For this purpose, some organizations may create one or more accounts to join online political discussions. Using these accounts, they could promote candidates and attack competitors. To avoid such misleading speeches and improve the transparency of the online society, spotting such malicious accounts and understanding their behaviors are crucial issues. In this paper, we aim to use network-based analysis to sense influential human-operated malicious accounts who attempt to manipulate public opinion on political discussion forums. To this end, we collected the election-related articles and malicious accounts from the prominent Taiwan discussion forum spanning from 25 May 2018 to 11 January 2020 (the election day). We modeled the discussion network as a multilayer network and used various centrality measures to sense influential malicious accounts not only in a single-layer but also across different layers of the network. Moreover, community analysis was performed to discover prominent communities and their characteristics for each layer of the network. The results demonstrate that our proposed method can successfully identify several influential malicious accounts and prominent communities with apparent behavior differences from others.
BASE
The novel high performance aramid fibers containing benzimidazole moieties and chloride substitutions
In: Materials and design, Band 158, S. 127-135
ISSN: 1873-4197
Biodegradation of antibiotic ciprofloxacin: pathways, influential factors, and bacterial community structure
In: Environmental science and pollution research: ESPR, Band 23, Heft 8, S. 7911-7918
ISSN: 1614-7499
Nonylphenol biodegradation, functional gene abundance and bacterial community in bioaugmented sediment: effect of external carbon source
In: Environmental science and pollution research: ESPR, Band 22, Heft 16, S. 12083-12091
ISSN: 1614-7499
Operational performance, biomass and microbial community structure: impacts of backwashing on drinking water biofilter
In: Environmental science and pollution research: ESPR, Band 22, Heft 1, S. 546-554
ISSN: 1614-7499
Enhanced and Robust Nitrogen Removal Using an Integrated Zeolite and Partial Denitrification Anammox Process
In: BITE-D-24-01758
SSRN
Pesticides in three rural rivers in Guangzhou, China: spatiotemporal distribution and ecological risk
In: Environmental science and pollution research: ESPR, Band 26, Heft 4, S. 3569-3577
ISSN: 1614-7499