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An intelligent decision support system for groundwater supply management and electromechanical infrastructure controls

Author(s): Ataei P; Takhtravan A; Gheibi M; Chahkandi B; Faramarz MG; Waclawek S; Fathollahi-Fard AM; Behzadian K;

This study presents an intelligent Decision Support System (DSS) aimed at bridging the theoretical-practical gap in groundwater management. The ongoing demand for sophisticated systems capable of interpreting extensive data to inform sustainable groundwater decision-making underscores the critica ...

Article GUID: 38317976


Using machine learning to retrospectively predict self-reported gambling problems in Quebec

Author(s): Murch WS; Kairouz S; Dauphinais S; Picard E; Costes JM; French M;

Background and aims: Participating in online gambling is associated with an increased risk for experiencing gambling-related harms, driving calls for more effective, personalized harm prevention initiatives. Such initiatives depend on the development of models capable of detecting at-risk online gamblers. We aimed to determine whether machine learning alg ...

Article GUID: 36880253


Location and Species Matters: Variable Influence of the Environment on the Gene Flow of Imperiled, Native and Invasive Cottontails

Author(s): McGreevy TJ; Michaelides S; Djan M; Sullivan M; Beltrán DM; Buffum B; Husband T;

The environment plays an important role in the movement of individuals and their associated genes among populations, which facilitates gene flow. Gene flow can help maintain the genetic diversity both within and between populations and counter the negative impact of genetic drift, which can decrease the fitness of individuals. Sympatric species can have d ...

Article GUID: 34659333


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