Results 171 to 180 of about 5,098 (214)

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

Deep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li, Huiyong Yin, Fangying Dong, Tao Wu, Chao Zhang   +4 more
wiley   +1 more source

Confidence interval forecasting model of small watershed flood based on compound recurrent neural networks and Bayesian. [PDF]

PLoS One
Wang S, Xu O.
europepmc   +1 more source

Safeguarding Online Research in Eating Disorders Against Fraud: Increasing Risks and Practical Recommendations

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Recent growth of online research has been accompanied by an increase in reports of fraudulent participants, which can significantly comprise research validity. Drawing from our experience using Qualtrics with open recruitment, existing literature, and emerging studies in eating disorders (ED), we outline the risk and provide simple ...
Jamie‐Lee Pennesi, Mia L. Pellizzer, Tracey D. Wade   +2 more
wiley   +1 more source

Redefining multi-target weather forecasting with a novel deep learning model: Hierarchical temporal convolutional long short-term memory with attention (HTC-LSTM-Attn) in Bangladesh. [PDF]

PLoS One
Kabir MA, Chakma C.
europepmc   +1 more source

Developing a macroecology for human‐altered ecosystems

Ecography, EarlyView.
Although anthropogenically‐induced ecological disruptions are fundamentally important in defining ecosystem properties, they are largely overlooked by macroecological theory. Anthropogenic disruptions and their effects are generally not comparable to one another, nor to disturbances that are part of natural disturbance regimes.
Erica A. Newman, Mark Q. Wilber, Alexandre Génin, Oriana E. Chafe, Henry F. Houskeeper, Steven Lee, Eric L. Berlow, John Harte   +7 more
wiley   +1 more source

Hydrological modeling of flood impacts under land use and land cover change: A systematic review of tools, trends, and challenges. [PDF]

MethodsX
Oo TZ, Humphries UW.
europepmc   +1 more source

PondNet – towards a global network of experiments on the effects of climate change on aquatic ecosystems

Ecography, EarlyView.
Global change is reshaping the distribution of biodiversity and the functioning of ecosystems. Predicting the long‐term consequences of such changes remains a challenge due to a need for a clear understanding of the mechanisms underpinning ecosystem‐level responses, as well as the role of geographical and environmental contingencies.
Miguel G. Matias, Dominique Gravel, Jonathan M. Chase, Carla Pinto‐ Cruz, David García‐ Callejas, M. Thomas P. Gilbert, Mathew A. Leibold, Dora Neto, Cátia L. Pereira, Carlos Ramos, Pedro M. Raposeiro, Alejandro Rozenfeld, Katarzyna Sroczynska, David R. Vieites, Guy Woodward, Miguel B. Araújo   +15 more
wiley   +1 more source

Richness and Composition of Mycorrhizal Fungi Varies by Flood Level and River Basin in Oligotrophic Amazonian Seasonally Flooded Forests. [PDF]

Ecol Evol
Pombo MM, Ritter CD, Wittmann F, de Oliveira JJS, Fernandez Piedade MT, Schongart J, Zizka A.   +6 more
europepmc   +1 more source

From distant shores to an emerging island: the role of surface and subsurface transport in modeling seed dispersal

Ecography, EarlyView.
Long‐distance seed dispersal by ocean currents plays a critical role in structuring coastal plant communities. As direct observations of this phenomenon are infeasible, numerical modeling is a valuable tool. Here, we use Lagrangian particle tracking to examine the colonization of the newly forming island Norderoogsand (German Bight, Wadden Sea) by five
Jakob Rahner, Rahel Vortmeyer‐Kley, Ulf Gräwe, Michael Kleyer, Ulrike Feudel   +4 more
wiley   +1 more source

A collaborative integrated Indigenous knowledge-based flood risk reduction model. [PDF]

Jamba
Omoruyi U, Nzewi O, Mpofu V.
europepmc   +1 more source