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Abstract Click to copy section linkSection link copied! The controllable synthesis of metal-oxo clusters (MOCs) is often limited by competing reaction pathways and strongly coupled variables, which hinder the synthetic efficiency and scalability. Here, we develop a machine-learning-assisted reaction-space optimization strategy that defines an effective synthetic window through data-driven modeling and key parameter identification, enabling precise control over complex reaction systems.
Abstract Background: Insulin autoimmune syndrome (IAS) is an autoimmune endocrine disorder characterized by hyperinsulinemia, positive insulin autoantibodies (IAA), and hypoglycemia. IAS was previously thought to be induced by drugs containing thiol groups. Objective: We describe a case highlighting that IAS may be temporally associated with a proton pump inhibitor (PPI) exposure.
0D Chiral Hybrid Indium(III) Halides for Second Harmonic Generation Siming Qi, Fei Ge, Xiao Han, Puxin Cheng, Rongchao Shi, Chao Liu, Yongshen Zheng, Mingyang Xin and Jialiang Xu Abstract Chiral metal halides have shown great potential for applications in next generation nonlinear optics (NLO) devices owing to their intrinsic non-centrosymmetry.
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