Results 61 to 70 of about 881,890 (356)

Pre-disaster planning and preparedness for floods and droughts: A systematic review

open access: yesInternational Journal of Disaster Risk Reduction, 2019
Increasing intensity and frequency of climate-related disasters such as floods and droughts challenge existing governance models of disaster risk reduction.
J. Raikes   +3 more
semanticscholar   +1 more source

Tuning the Selectivity of the CO2 Reduction Reaction by Means of Synergistic Interactions in the Cu, Ag, Ce System

open access: yesAdvanced Functional Materials, EarlyView.
Multi‐metal Cu─Ce─Ag nanoparticles harness synergistic interactions to drive efficient electrochemical CO2 reduction reaction toward C2+ products at high current densities. Ag enhances CO production, Ce modulates Cu oxidation states, and together they boost *CO coverage and local pH to enhance C─C coupling, enabling record C2+ yields with suppressed ...
Nini Zhang   +9 more
wiley   +1 more source

Participatory approach for integrated basin planning with focus on disaster risk reduction : the case of the Limpopo river [PDF]

open access: yes, 2011
This paper defends the idea that a participatory approach is a suitable method for basin planning integrating both water and land aspects. Assertions made are based on scientific literature review and corroborated by field experience and research carried
De Dapper, Morgan   +3 more
core   +3 more sources

Preparedness against mobility disruption by floods.

open access: yesScience of the Total Environment, 2019
Civil responders currently have limited information available to them to support flood incident planning. A new generation of tools are emerging that produce more detailed understanding of flood impacts on people and accessibility during floods.
C. Arrighi   +3 more
semanticscholar   +1 more source

Counterion Dependent Side‐Chain Relaxation Stiffens a Chemically Doped Thienothiophene Copolymer

open access: yesAdvanced Functional Materials, EarlyView.
Oxidation of a thienothiophene copolymer, p(g3TT‐T2), via different doping strategies and dopant molecules resulted in materials with similar oxidation levels and a high electrical conductivity of ≈100 S cm−1. However, mechanical properties varied significantly, with sub‐glass transition temperatures and elastic moduli spanning from –44°C to –3°C and ...
Mariavittoria Craighero   +12 more
wiley   +1 more source

Infrastructure capacity planning for reducing risks of future hydrologic extremes

open access: yesWater Policy, 2021
Floods and droughts and their associated economic, environmental, and social losses or damages are increasing in severity and frequency. Measures taken to reduce these losses or damages stemming from extreme events typically depend on how effective they ...
John J. Boland, Daniel Peter Loucks
doaj   +1 more source

Managing disaster preparedness for institution of higher learning: A study in Perlis [PDF]

open access: yes, 2007
Unprecedented floods disaster that hit Johore, Pahang, Terengganu and Kelantan was due to abnormal weather conditions. Heavy rain which fall continuously non stop for between 3 to 4 days has raised the water level in some areas to a height of 15 feet ...
Bahari, Azuddin   +2 more
core  

Anomaly Detection for Science DMZs Using System Performance Data [PDF]

open access: yes, 2020
Science DMZs are specialized networks that enable large-scale distributed scientific research, providing efficient and guaranteed performance while transferring large amounts of data at high rates.
Bishop, M   +4 more
core   +1 more source

Parallel 3D Bioprinting on SLIPS‐Microarrays

open access: yesAdvanced Functional Materials, EarlyView.
This work introduces the first truly parallel 3D bioprinting method, enabling both the simultaneous fabrication of hundreds of cell laden hydrogel 3D structures and their HTS in individual liquid compartments. By integrating Digital Light Processing (DLP) stereolithography with functional micropatterns, the platform decouples printing time from array ...
Julius von Padberg   +3 more
wiley   +1 more source

River Stage Variability and Extremes in the Itacaiúnas Basin in the Eastern Amazon: Machine Learning-Based Modeling

open access: yesHydrology
This study fosters tropical hydroclimatology research by implementing a computational modeling framework based on artificial neural networks and machine learning techniques. We evaluated two models, Multilayer Perceptron (MLP) and Support Vector Machine (
Luiz Rodolfo Reis Costa   +7 more
doaj   +1 more source

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