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Abstract Group 1 elements exhibit the lowest electronegativity values in the Periodic Table. The chemical reduction of Group 1 metal cations M+ to M(0) is extremely challenging. Common tetraaryl borates demonstrate limited redox properties and are prone to decomposition upon oxidation. In this study, by employing simple yet versatile bipyridines as ligands, we synthesized a series of redox-active borate anions characterized by NMR and X-ray single-crystal diffraction. Notably, the borate anion can realize the reduction of Li+, generating elemental lithium metal and boron radical, thereby demonstrating its potent reducing ability. Furthermore, it can serve as a powerful two-electron-reducing reagent and be readily applied in various reductive homo-coupling reactions and Birch reduction of acridine. Additionally, this borate anion demonstrates its catalytic ability in the selective two-electron reduction of CO2 into CO.

The use of earth-covered magazines (ECMs) is increasingly prevalent in protective engineering due to their concealment and cost-effectiveness. To explore the optimal thickness of earth covering for ECMs, scaled model tests were conducted under explosive charges equivalent to 30 kilograms of TNT. The resulting overpressure outside the model in the 180° direction was measured. Subsequently, computational analyses were conducted employing LS-DYNA software to examine these experimental findings. The findings indicate that increasing the thickness of the rear soil can mitigate peak overpressure, delay the air shock wave’s arrival time, and reduce the impulse of the positive phase. The numerical calculations closely align with experimental data, with peak overpressure deviation remaining under 10%. The shock wave initially impacts the top of the model before reaching the rear, with soil scattering more pronounced in the 90° direction compared to the 180° direction. Furthermore, an analysis of soil energy absorption rate variation was conducted based on energy conservation principles. These results provide valuable insights for optimizing the design and construction of ECMs.

AbstractObjective To investigate the efficacy and adverse effects of focused ultrasound (FU) in the treatment of high-grade squamous intraepithelial lesions (HSIL) and follow up on pregnancy outcomes in patients.Methods This retrospective study recruited 57 patients aged 20–40 years with cervical HSIL combined with HR-HPV infection who received FU treatment between September 2019 and April 2022. Clinical data of the patients were obtained from hospital records. HSIL cure rate and cumulative HR-HPV clearance rate were assessed after treatment. Patients were followed up on fertility and pregnancy outcomes after treatment by telephone interviews until April 1, 2023.Results During a 6-month follow-up, the HSIL cure rate was 73.7%, and a statistical difference between CIN2 and CIN3 (75.6% vs. 66.7%, p = 0.713) was not present. HSIL -recurrence was not observed during the follow-up period, and the median follow-up duration was 12 months. The cumulative HR-HPV clearance rates at the 6- and 12-month follow-ups were 56.1% and 75.4%, respectively. The median clearance time of HR-HPV was 6 (95% confidence interval, 5.46–6.54) months. The clearance rate was higher in HPV16/18 than in non-HPV16/18 (86.7% vs. 62.9%, p = 0.038). After treatment, the successful pregnancy rate in patients with fertility intentions and spontaneous abortion rate were 73.9% and 5.9%, respectively. Preterm birth, preterm premature rupture of membranes, or low-birth-weight infants were not observed.Conclusion FU treatment can regress HSIL and accelerate HR-HPV clearance in young women of childbearing age with cervical HSIL associated with HR-HPV infection, and has no significant adverse effects on pregnancy outcomes.

With its excellent electrical and mechanical properties and the rapid development of its device fabrication technologies, laser-induced graphene (LIG) has played an important role in the field of wearable technologies since its discovery in 2014. In recent years, with the relentless development of wearable devices, newly developed LIG-based wearable devices also possess multifunction and intelligence characteristics. This review is aimed toward two of the most important fields related to the development of LIG, namely, health care and human–computer interaction (HCI). We introduce multifunctional and intelligent LIG-based wearable systems for health care and HCI developed over the recent years, sorting out their design ideas, preparation process, performance, and application. Furthermore, we discuss the future development direction of LIG-based wearable systems for health care and HCI.

Herein, we developed a dual-activated prodrug, BTC, that contains three functional components: a glutathione (GSH)-responsive BODIPY-based photosensitizer with a photoinduced electron transfer (PET) effect between BODIPY and the 2,4-dinitrobenzenesulfonate (DNBS) group, and an ROS-responsive thioketal linker connecting BODIPY and the chemotherapeutic agent camptothecin (CPT). Interestingly, CPT displayed low toxicity because the active site of CPT was modified by the BODIPY-based macrocycle. Additionally, BTC was encapsulated with the amphiphilic polymer DSPE-mPEG2000 to improve drug solubility and tumor selectivity. The resulting nano-prodrug passively targeted tumor cells through enhanced permeability and retention (EPR) effects, and then the photosensitizing ability of the BODIPY dye was restored by removing the DNBS group with the high concentration of GSH in tumor cells. Light-triggered ROS from activated BODIPY can not only induce apoptosis or necrosis of tumor cells but also sever the thioketal linker to release CPT, achieving the combination treatment of selective photodynamic therapy and chemotherapy. The antitumor activity of the prodrug has been demonstrated in mouse mammary carcinoma 4T1 and human breast cancer MCF-7 cell lines and 4T1 tumor-bearing mice.

In order to improve the capability of soft fault diagnosis in an analog circuit, an integrated diagnosis method based on KSLPP feature extraction and ELM is proposed. The KSLPP feature extraction ability is firstly used to construct the principal component feature set from the fault sample set. Then, the advantage of ELM on solving the complicated nonlinearity problem is applied to build the fault identification model from the principal component feature. Finally, the sample sets of soft fault diagnosis for the analog circuit are respectively established by waveform parameter and wavelet packet transform to conduct the diagnostic test for the built model. The simulation of Elliptic Filter shows that, based on the fault sample set gotten by waveform parameter, the total correct rate of the integrated method is 98.2%; on the basis of the fault sample set built by wavelet packet transform, the total correct rate is 100%. The feasibility and effectiveness of this method are also validated.