Label-free detection of kidney stones urine combined with SERS and multivariate statistical algorithm.

Kidney stones are a common urological disease with an increasing incidence worldwide. Traditional diagnostic methods for kidney stones are relatively complex and time-consuming, thus necessitating the development of a quicker and simpler diagnostic approach. This study investigates the clinical screening of kidney stones using Surface-Enhanced Raman Scattering (SERS) technology combined with multivariate statistical algorithms, comparing the classification performance of three algorithms (PCA-LDA, PCA-LR, PCA-SVM). Urine samples from 32 kidney stone patients, 30 patients with other urinary stones, and 36 healthy individuals were analyzed. SERS spectra data were collected in the range of 450-1800 cm-1 and analyzed. The results showed that the PCA-SVM algorithm had the highest classification accuracy, with 92.9 % for distinguishing kidney stone patients from healthy individuals and 92 % for distinguishing kidney stone patients from those with other urinary stones. In comparison, the classification accuracy of PCA-LR and PCA-LDA was slightly lower. The findings indicate that SERS combined with PCA-SVM demonstrates excellent performance in the clinical screening of kidney stones and has potential for practical clinical application. Future research can further optimize SERS technology and algorithms to enhance their stability and accuracy, and expand the sample size to verify their applicability across different populations. Overall, this study provides a new method for the rapid diagnosis of kidney stones, which is expected to play an important role in clinical diagnostics.

Does corporate digitization affect shadow banking business? Evidence from Chinese listed companies.

How to govern non-financial enterprises engaged in shadow banking activities is of great practical significance. This study investigates whether and how corporate digitization affects shadow banking. Using a sample of Chinese listed companies for the period 2012-2022, we find that corporate digitization has a significant negative effect on shadow banking business. Mechanism tests show that corporate digitization is conducive to enhancing product core competencies, broadening market channels, and improving operational efficiency, thus inhibiting firms from engaging in shadow banking activities. Moreover, the negative impact of corporate digitization on corporate shadow banking is especially noticeable for non-state-owned companies and in areas where local governments have more stringent financial risk regulations. The findings contribute to enriching the literature on the determinants of corporate shadow banking business, and deepen our understanding of the economic consequences of corporate digitization.