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Forecasting influenza activity using self-adaptive AI model and multi-source data in Chongqing, ChinaResearch in context

Background: Early detection of influenza activity followed by timely response is a critical component of preparedness for seasonal influenza epidemic and influenza pandemic.However, most relevant studies were conducted at the regional or national level with regular seasonal influenza trends.There are few feasible strategies to forecast influenza ac

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Does timing of breeding matter less where the grass is greener? Seasonal declines in breeding performance differ between regions in an endangered endemic raptor

The timing of breeding can strongly influence individual breeding performance and fitness.Seasonal declines in breeding parameters have been often documented in birds, particularly in the Northern Hemisphere.Fewer studies have investigated whether seasonal declines in productivity vary in space, which would have implications for a species’ popula

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Damage Identification of Structures Based on Smooth Orthogonal Decomposition and Improved Beetle Antennae Search Algorithm

Evaporator with Defrost Element A novel damage identification method that utilizes the smooth orthogonal decomposition (SOD) combined with the improved beetle antennae search algorithm (BAS) presented by previous scholars is proposed.Firstly, the damage index which can track the curvature changing of mode shape identified by the SOD method is gener

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Using the RE-AIM framework to evaluate safe food village development programme through the food safety movement in village in the Special Region of Yogyakarta, Indonesia

Unsafe food is a major threat to public health both globally and in the Southeast Asia region.In Indonesia, various food safety problems are still encountered such as cases of food poisoning, food containing hazardous materials and poor food handlers’ sanitation hygiene.One of The National Agency of Drug and Food Control (NADFC)’s efforts to ov

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