Colorectal cancer in ulcerative colitis: mechanisms, surveillance and chemoprevention

W Li, T Zhao, D Wu, J Li, M Wang, Y Sun, S Hou - Current Oncology, 2022 - mdpi.com
Patients with ulcerative colitis (UC) are at a two-to three-fold increased risk of developing
colorectal cancer (CRC) than the general population based on population-based data. UC …

Self-organizing maps applied to ecological sciences

TS Chon - Ecological Informatics, 2011 - Elsevier
Ecological data are considered to be difficult to analyze because numerous biological and
environmental factors are involved in a complex manner in environment–organism …

Microcystis aeruginosa removal by peroxides of hydrogen peroxide, peroxymonosulfate and peroxydisulfate without additional activators

Z Chen, J Li, M Chen, KY Koh, Z Du, KYH Gin, Y He… - Water Research, 2021 - Elsevier
Harmful algal bloom (HAB) is one of the most globally severe challenges in ecological
system and water safety. Hydrogen peroxide has been commonly used in the management …

Characterising and predicting cyanobacterial blooms in an 8-year amplicon sequencing time course

N Tromas, N Fortin, L Bedrani, Y Terrat… - The ISME …, 2017 - academic.oup.com
Cyanobacterial blooms occur in lakes worldwide, producing toxins that pose a serious
public health threat. Eutrophication caused by human activities and warmer temperatures …

Network analysis reveals succession of Microcystis genotypes accompanying distinctive microbial modules with recurrent patterns

SJ Chun, Y Cui, JJ Lee, IC Choi, HM Oh, CY Ahn - Water research, 2020 - Elsevier
Every member of the ecological community is connected via a network of vital and complex
relationships, called the web of life. To elucidate the ecological network and interactions …

Stringent Response of Cyanobacteria and Other Bacterioplankton during Different Stages of a Harmful Cyanobacterial Bloom

H Li, B Bhattarai, M Barber, R Goel - Environmental Science & …, 2023 - ACS Publications
We conducted a field study to investigate the role of stringent response in cyanobacteria and
coexisting bacterioplankton during nutrient-deprived periods at various stages of bloom in a …

Prediction of natural fracture porosity from well log data by means of fuzzy ranking and an artificial neural network in Hassi Messaoud oil field, Algeria

AA Zerrouki, T Aïfa, K Baddari - Journal of Petroleum Science and …, 2014 - Elsevier
The fracture porosity is estimated especially through the log data (density, neutron porosity
and transit time) and the characteristics of the mud (fluid density, transit time of the saturating …

An optimization of artificial neural network model for predicting chlorophyll dynamics

W Tian, Z Liao, J Zhang - Ecological Modelling, 2017 - Elsevier
As one of the factors to represent some species of algae, chlorophyll dynamics model has
been regarded as one of the early-warning proactive approaches to prevent or mitigate the …

Data-driven models for predicting community changes in freshwater ecosystems: A review

DY Lee, DS Lee, YK Cha, JH Min, YS Park - Ecological Informatics, 2023 - Elsevier
Freshwater ecosystems are sensitive to disturbances related to human activities, such as
climate and land-use changes. To predict and understand the potential impacts of these …

Determination of sensitive variables regardless of hydrological alteration in artificial neural network model of chlorophyll a: Case study of Nakdong River

HG Kim, S Hong, KS Jeong, DK Kim, GJ Joo - Ecological modelling, 2019 - Elsevier
Abstract The Nakdong River has suffered from hydrological alterations in the river channel
and riverine area during the Four Major Rivers Restoration Project (FMRRP). As these …