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Direct Access to Benzofurans and Indoles from Ethylene with 2-Methylphenols/Anilines through Iridium-Catalyzed Dehydrogenative Annulation

Plasmonic optical fiber biosensors for ultra-low detection of respiratory syncytial virus via point-of-care tests

Spontaneous Fission of Charged Water Nanodrops: Unveiling the Stochastic Nature of Fission Pathways and Dynamics

Fuzzy clustering based scheduling algorithm for minimizing the tasks completion time in cloud computing environment

Hyperpolarized ¹³C NMR by Dissolution DNP Enables Snapshot Detection of Degradation Products in Lithium-Ion Battery Electrolytes

Synergism of Ag+ and Na+ in N-acetyl-p-quinoneimine matrix for dual sensing applications

Stabilization of Condensate Interfaces Using Dynamic Protein Insertion

Resource allocation of distributed MIMO radar based on the hybrid action space reinforcement learning

Optimizing the Mass Transport and Atomic Fe Intrinsic Activity to Achieve High-Performing Fuel Cells

Orthogonal Site-Specific Dual Bioconjugation of Aryl and Alkyl Thiols

Precise detection of differential RNA editing sites across varied biological conditions using the CADRES pipeline

Engineering Spatial Interface in Supported Molecular Complexes for Ampere-Level Electrocatalytic Oxygen Evolution

A comparative study of internal fixation with porous tantalum screws and cannulated screws in the treatment of femoral neck fractures

Structural Basis for Medium-Chain Dehydrogenase/Reductase-Catalyzed Reductive Cyclization in Polycyclic Tetramate Macrolactam Biosynthesis

Machine learning for workpiece mass prediction using real and synthetic acoustic data

Engineering Supramolecular Hydrogen Bonding Interactions into Dynamic Covalent Polymers To Obtain Double Dynamic Biomaterials

Machine learning-based prediction of respiratory depression during sedation for liposuction

Dynamic Transcription Machineries in Protocells

Guiding significance of the autophagy intensity of lumbar intervertebral discs and the Charlson Comorbidity Index in predicting the postoperative curative effect of patients with single-level lumbar disc herniation

Abstract To explore whether the autophagy intensity of lumbar intervertebral discs or Charlson Comorbidity Index(CCI) can predict the postoperative curative effect of single-level lumbar disc herniation(LDH) in patients. According to age stratification, five patients with single-level LDH who underwent surgical treatment in our hospital were included in each age group, and the autophagy level of the resected lumbar disc was detected by immunohistochemistry. A total of 30 patients were included and followed up for 2 years. According to the JOA improvement rate at the last follow-up, the patients were divided into two groups. According to age stratification, we found that there were significant differences in autophagy intensity and Pfirrmann classification; that is, with older age, the degree of lumbar disc degeneration was more serious and the autophagy intensity was lower. According to the JOA improvement rate, we found that there were significant differences in age, Autophagy intensity, Pfirrmann classification and CCI classification between different groups (P < 0.05). By binary logistic regression analysis, we found that only CCI classification was an independent risk factor for the difference in postoperative improvement in patients with single-level lumbar discectomy, and patients with a CCI ≥ 2 were more likely to have a poor postoperative improvement rate.

Establishing Dual-Interface Built-In Electric Fields within Janus Heterostructures for Cooperative Photoredox Catalysis