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Abstract: Within the unrestricted Hartree–Fock approximation and the real space recursion method, we calculated the electronic structure of the Sr1− x Ce x CoO3 in the whole doping range 0.0⩽x⩽1.0. Various spin states in an enlarged double cell are investigated and five of them are the ground states at different doping concentration. The magnetic ground state of the doped system takes an intermediate-spin state for x<0.02, a low-spin–intermediate-spin ferromagnetically ordered state for 0.02⩽x<0.38, and a low-spin–high-spin ferromagnetically ordered state for 0.38⩽x<0.79. For 0.79⩽x<0.9, the ground state of the system is the intermediate-spin chain-type antiferromagnetically ordered state, which is followed by the intermediate-spin nearest neighbor antiferromagnetically ordered state up to x=1.0. The densities of states of all magnetic ground states are computed and their electronic and magnetic properties are discussed. [Copyright &y& Elsevier]

Objectives: To develop a user-friendly nomogram-based predictive model for interstitial lung disease (ILD) in patients with idiopathic inflammatory myositis (IIM)., Methods: A retrospective study was conducted at Shantou Central Hospital, encompassing 205 IIM patients diagnosed between January 2013 and December 2022. We used the LASSO regression method in the discovery set to select features for model construction, followed by efficacy verification through AUC of ROC. Afterwards, KL-6 values and LUS B-lines number were added into this model to evaluate whether these 2 factors added to the model efficiency. Finally, a web version was constructed to make it more available., Results: Among the 205 IIM patients, 115 (56.1%) patients were diagnosed with ILD, and 90 (43.9%) did not. The predictive model, derived from the training set, comprised four independent risk factors, including age, presence of respiratory symptoms, anti-melanoma differentiation-associated gene 5 (MDA-5) antibody positivity, and anti-aminoacyl transfer RNA synthetase (anti-ARS) antibodies positivity. Notably, anti-TIF1-γ antibody positivity emerged as a protective factor. The AUC of the ROC based on these 5 factors was 0.876 in the training set and 0.861 in the validation set. The AUC of the ROC based on the 5 factors plus KL-6 was 0.922, 5 factors plus B-line number was 0.949 and 5 factors plus both KL-6 and B-line number was 0.951. Accordingly, a nomogram and a web version were developed., Conclusions: This predictive model demonstrates robust capability to assess ILD risk in IIM patients, particularly when augmented with serum KL-6 level or/and LUS B-line number.