Buckling failure is a major concern in lightweight lattice core sandwich structures (LCSSs). This study proposes an efficient method for designing LCSSs with superior buckling strength under uniaxial compression. In this approach, the buckling-resistant non-uniform shapes of single struts with different slenderness and inclination are first identified, and then they are directly used to replace uniform struts in LCSSs. This method can save considerable design time compared to conventional methods, which require conducting optimizations on...

The specific parameters of the optical system

Supplemental Material for A diffuse reflectance portable near infrared spectroscopy system for the determination of biuret content in urea fertilizer by Jing Liu, Shaohui Yu, Shupeng Hu, Ziyang Ling, Jiguang Gao, Binmei Liu, Lixiang Yu, Yang Yang, Ye Yang, Qi Wang, Xiaoyu Ni, Liping Zhao and Yuejin Wu in Journal of Near Infrared Spectroscopy

The Supporting Information for deep learning part

Additional file 3: Fig. S3. The impacts of somatic copy number alterations in PDAC cohort, related to Fig. 2. A Bar plots showing pathway enrichment of cis/trans-effect between CNA and protein (left) or phosphoprotein (right). B Distribution of IRF6 status between the younger patients’ group (≤ 60) and the older patients’ group (> 60) (left). The boxplot reveals the comparison of the mRNA (middle) and protein (right) abundance of IRF6 between the younger patients (≤...

Additional file 8: Fig. S8. The effects of diabetes on the proteogenomic characteristics of PDAC, related to Fig. 4. A The boxplot representing the comparison of blood glucose concentration between patients with diabetes and without diabetes. B The Kaplan-Meier curves for overall survival based on diabetic patients with or without medical treatment. C The heatmap showing the distribution of 10q25.3 deletion and MTOR mutations across different samples in TCGA cohort. D The bar plot showing...

Supplement 1

Additional file 1: Table S1. Distribution of the CT manufacturer in the training and testing sets. Table S2. Distribution of the CT slice thickness in the training and testing sets. Fig. S1. ROC curves of different classification models in the training set. RF: random forest, CNN: convolutional neural network. Fig. S2. Kaplan-Meier survival curves in the training set based on radiomics features. Fig. S3. Kaplan-Meier survival analysis among stage I patients (testing set). The disease-free...

Additional file 2: Table S1.. Number of different SSR types detected in three Amomum species. Table S3. Species information of Ka/Ks. Table S5. ITS2 haplotypes of A. villosum and A. longiligulare from Sanger sequencing. Table S6. ITS2 reads of A. villosum and A. longiligulare from NGS data. Table S7. The primers and conditions for PCR.

This study decomposes the bilateral trade flows using a three-dimensional panel data model. Under the scenario that all three dimensions diverge to infinity, we propose an estimation approach to identify the number of global shocks and countryspecific shocks sequentially, and establish the asymptotic theories accordingly. From the practical point of view, being able to separate the pervasive and nonpervasive shocks in a multi-dimensional panel data is crucial for a range of applications, such as, international...

No current RNA-targeted interference tools have been reported to simultaneously up and down-regulate different gene expressions. Here we characterized an RNA-targeted genetic regulatory strategy composed of a flap endonuclease 1 (FEN1) and specific mis-hairpin DNA probes (mis-hpDNA), to realize the orthogonal genetic regulation. By targeting mRNA, the strategy hindered the translation and silenced genes in human cells with efficiencies of ~60%. By targeting miRNA, the strategy prevented the combination of miRNA to its specific mRNA...

Additional file 1: Supplementary Material. Table S1. Summary of literature on the connotation of perceived quality. Table S2. The measurement scores and comparative analysis between two groups of the initial draft of SIM_URRBMI. Table S3. Item parameter estimation from the GRM. Table S4. The result of the collinearity assessment in the revised SIM_URRBMI1.0. Table S5. The indirect effects in the revised SIM_URRBMI1.0.

Additional file 1: Supplementary Material. Table S1. Summary of literature on the connotation of perceived quality. Table S2. The measurement scores and comparative analysis between two groups of the initial draft of SIM_URRBMI. Table S3. Item parameter estimation from the GRM. Table S4. The result of the collinearity assessment in the revised SIM_URRBMI1.0. Table S5. The indirect effects in the revised SIM_URRBMI1.0.

Additional file 2: Supplementary Figure 2. Physical examination of the child in Case two after MM

Additional file 3: Supplementary Figure 3. Physical examination of the child in Case two at final follow-up

Additional file 4: Supplementary Table 1. Cheng-Tang rating scores between the MM and NMM groups

Supplemental material, sj-docx-1-aim-10.1177_09645284221117847 for Electroacupuncture alleviates cognitive dysfunction and neuronal pyroptosis in septic mice by Yan Li, Zhaoying Li, Fujuan He, Chenguang Qin, Rui Fan, Fangxiang Zhang and Bin Wang in Acupuncture in Medicine

This study seeks to assess the quality of HEEs reporting on screening programs over the last 20 years in China, to identify potential predictors of reporting quality. We performed a literature search of HEE studies published in PubMed, Embase, CNKI, and WANFANG from 2000 to 2021. The search terms included ‘screening,’ ‘China,’ ‘CEA,’ ‘CBA,’ ‘CUA,’ and all other names for health economic evaluation. Two reviewers independently extracted data and assessed the reporting quality using CHEERS...

Melittin is a natural polypeptide present in bee venom, with significant anti-tumor activity. Melittin has been reported to induce cell death in lung carcinoma cell line A549 cells, suggesting an excellent potential for treating lung cancer. However, the core mechanism underlying melittin-induced cell death in A549 cells remains unclear. This work reports that melittin induces reactive oxygen species (ROS) burst, upregulates intracellular Fe2+ levels, disrupts the glutathione-glutathione peroxidase 4 antioxidant system, and increases lipid peroxide...

supplementary statement

Additional file 1: Fig. S1. Repeated verification of the interaction between HCR and astrin. (A) Astrin Co-IP HCR and CEP72 and HCR Co-IP astrin and CEP72. HeLa cell lysates were immunoprecipitated with astrin, HCR, or control rabbit IgG antibodies and analyzed by western blotting with anti-astrin, anti-HCR antibodies. Anti-GM130 and anti-beta actin antibodies were used as negative control. The blotting of astrin, HCR and GM130 antibodies were incubated on the same membrane by repeatedly washing...

Additional file 3: Fig. S3. Apoptosis or cycle changes in astrin-KO cells and identification of astrin-KO cell line. (A) Parental, astrin-KO and HCR-KO HeLa cells were analyzed with astrin, HCR, cyclin B1 and Cleaved PARP antibodies. HeLa cells treated with DMSO, Paclitaxel, Bafilomycin and MG132 were analyzed with Cleaved PARP and HCR antibodies. (B) Parental and astrin-KO HeLa cells were immunoblotted with an astrin antibody.

Additional file 5: Fig. S8. Co-localization of HCR with centrin1 and PCM1. HeLa cells transfected with HCR-GFP were co-stain with centrin1 (red) and gamma-tubulin (cyan) and DAPI (blue) or PCM1 (red) and gamma-tubulin (cyan) and DAPI (blue); scale bars, 10 μm. Fig. S9. HCR interacts with CEP131. HeLa cell lysates were immunoprecipitated with antibodies specific for HCR, astrin, or negative control rabbit IgG. The precipitates were analyzed by immunoblotting with antibodies against HCR and CEP131....

Additional file 8. Verification reports of HCR-KO cell line.

Additional file 9. Verification reports of astrin-KO cell line.