{"count":91412,"next":"https://eartharxiv.org/api/keywords/?format=json&limit=100&offset=90300","previous":"https://eartharxiv.org/api/keywords/?format=json&limit=100&offset=90100","results":[{"word":"the study revealed an inextricable linkage between actors at the local"},{"word":"national"},{"word":"goechemistry"},{"word":"marine pollution"},{"word":"and international levels and environmental destruction. The study found that most of the sustainable development goals such as"},{"word":"right to safe and clean drinking water"},{"word":"destruction of farmlands"},{"word":"food insecurity"},{"word":"eradicating hunger and poverty"},{"word":"amongst others have been significantly affected by the activities of illegal mining. The study thus recommended immediate policy interventions to remedy the situation before it reaches a tipping poin"},{"word":"sustainable development; political ecology; political settlement; illegal mining; galamsey"},{"word":"Trade openness"},{"word":"Monetary policy shocks"},{"word":"Structural vector auto regression (SVAR)"},{"word":"Impulse response functions"},{"word":"Fascia ilaca nerve block"},{"word":"pain control"},{"word":"hip injuries"},{"word":"language"},{"word":" translations"},{"word":" honorifics"},{"word":" film"},{"word":"coda wave Interferometry"},{"word":"seismic interferometry"},{"word":"ambient seismic noise"},{"word":"subsurface monitoring"},{"word":"spectral monitoring"},{"word":"land surface temperature"},{"word":"fractional vegetation cover"},{"word":"green space accessibility"},{"word":"urban green space"},{"word":"temporal analysis"},{"word":"Intraspecific variation"},{"word":"Functional traits"},{"word":"Plant-insect interactions"},{"word":"Plant-pathogen interactions"},{"word":"Elevation gradient"},{"word":"Selective Sweep"},{"word":" Convolutional Neural Network"},{"word":"Information in evolution"},{"word":"Mutual Information"},{"word":"KL divergence"},{"word":"Seasonal Variation"},{"word":"Sentinel-5P"},{"word":"Halda River"},{"word":"Anomaly Detection"},{"word":"Unsupervised Deep Learning"},{"word":"Seasonal Analysis"},{"word":" Surface mass budget"},{"word":" Glacier fluctuations"},{"word":"Surface mass budget"},{"word":"Mass-balance reconstruction"},{"word":"Glacier fluctuations"},{"word":"Landslide Susceptibility"},{"word":" Rangamati"},{"word":" Spatial Sparsity"},{"word":" DBSCAN"},{"word":" Moran I"},{"word":" Getis-Ord Gi*"},{"word":" LSTM."},{"word":"Greenland Ice Sheet"},{"word":"mass change"},{"word":"sea level"},{"word":"Regime shift"},{"word":"cross-ecosystem linkage"},{"word":"subtidal"},{"word":"GMTSAR"},{"word":"monotremata"},{"word":"mammalia"},{"word":"prototheria"},{"word":"taxonomic rank"},{"word":"cladistics"},{"word":"phylogenetic systematics"},{"word":"reproductive evolution"},{"word":"microplastic particles"},{"word":"decontamination of water"},{"word":" coagulation"},{"word":"alum-based coagulants"},{"word":"Marine litter detection"},{"word":"CNN-Transformer"},{"word":"Deep Learning"},{"word":"lightweight model"},{"word":"Computer Vision"},{"word":"sponsor communication"},{"word":" sports marketing"},{"word":" obstacle course races"},{"word":" purchase intention"},{"word":"Coastal man-land system"},{"word":"Spatial resilience"},{"word":"Interpretable machine learning"},{"word":"Southeastern coastal region"},{"word":"variation"},{"word":"Roth score"},{"word":" ESI"},{"word":" MTS"},{"word":"dyspnea"},{"word":"MTS"},{"word":"Vaccine hesitancy"},{"word":" vaccine acceptance"},{"word":" disease resurgence"}]}