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176 You Et Al. Predictors Of Transitions From GADA As The Initial Autoantibody To Multiple Autoantib

Predictors of Transitions From GADA as the Initial Autoantibody to Multiple Autoantibodies of Type 1 Diabetes in Children at Risk by a Dynamic Prediction Model - 10022025_679_176_MP280_You_Ped Diab_2025.pdf PdrdYpbg :pshbkd Mpdchbsnpr ne SpZmrhshnmr Dpnl F9C9 Zr sgd HmhshZk 9tsnZmshancw sn Ltkshokd 9tsnZmshanchdr ne Swod 0 ChZadsdr hm Bghkcpdm Zs Phri aw Z CwmZlhb Mpdchbshnm Lncdk Kt Wnt0 DZkZrshm

https://www.teddy.lu.se/sites/teddy.lu.se/files/2025-11/176%20You%20et%20al.%20Predictors%20of%20Transitions%20From%20GADA%20as%20the%20Initial%20Autoantibody%20to%20Multiple%20Autoantibodies%20of%20Type%201%20Diabetes%20in%20Children%20at%20Risk%20by%20a%20Dynamic%20Prediction%20Model%20-%20Ped%20Diab_2025.pdf - 2026-07-07

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Drought is predicted to increase in the future due to climate change, bringing with it myriad impacts on ecosystems. Plants respond to drier soils by reducing stomatal conductance in order to conserve water and avoid hydraulic damage. Despite the importance of plant drought responses for the global carbon cycle and local and regional climate feedbacks, land surface models are unable to capture obs