AIMC Topic: China

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Unraveling long-term health dynamics of impounded lakes integrating water diversion-adapted planktonic index of biotic integrity and machine learning.

Environmental research
Assessing ecosystem integrity of impounded lakes subjected to sustained water diversion is fundamental for advancing adaptive water governance. Nevertheless, drivers of lake health variation under recurrent flow regulation, particularly their multisc...

A novel integrated modelling framework to uncover spatial and temporal evolutionary patterns and influence mechanisms of land use conflicts.

Journal of environmental management
Rapid and disorderly urban expansion leads to productivity loss, habitat fragmentation, and reduced land marginal returns, hindering sustainable urban development. Scientific identification of land use conflicts (LUCs) and understanding their driving...

Predicting the Site-Specific Toxicity of Metals to Fishes Using a New Machine Learning-Based Approach.

Environmental science & technology
Fishes of various trophic levels play an important role in the stability and balance of aquatic ecosystems. Metal contaminants can impair the survival and population fitness of fish at elevated concentrations. When universal water quality criteria (W...

A novel framework integrating GeoAI and human perceptions to estimate walkability in Wuhan, China.

Scientific reports
Evidence shows enhanced walking environment promotes overall physical activities and further alleviates the risk of chronic diseases and mental disorders. Current walkability research is limited by traditional GIS methods that fail to capture micro-l...

Integrated clinicopathological-radiomic-blood model for glioma survival prediction via machine learning: a multicenter cohort study.

Neurosurgical review
BACKGROUND: Glioma is characterized by a poor prognosis and limited possibilities for treatment. Previous studies have developed prediction models for glioma using genetic, clinical, pathological, imaging and other aspects; however, few studies have ...

Size-Specific Predictors for Malignancy Risk in Follicular Thyroid Neoplasms: Machine Learning Analysis.

JMIR cancer
BACKGROUND: Surgeons often face challenges in distinguishing between benign and malignant follicular thyroid neoplasms (FTNs), particularly small tumors, until diagnostic surgery is performed.

Can AI computing power promote the green transformation of energy enterprises? Evidence from the nonlinear moderating effect of public environmental awareness.

Journal of environmental management
Amid growing concerns over climate change and energy security, the green transformation of energy enterprises has become a global sustainability priority. This study investigates the nonlinear impact of artificial intelligence computing power (AICP) ...

Policy-driven improvements in cultivated land productivity: Changed determinants in Huang-Huai-Hai Plain, China.

Journal of environmental management
Sustainably improving cultivated land productivity (CLP) contributes to food security and environmental sustainability. Over the past 30 years, a portfolio of national cultivated land improvement programs (NCLIP) has been implemented in China's impor...