By consulting relevant literature of ancient herbal books and processing specifications， this paper made a systematic research and analysis of Ostreae Concha， including the name， producing area， harvesting， quality， historical evolution of processing， relevant processing specifications， modern processing technology， and changes in chemical composition and pharmacological effects before and after processing， in order to provide documentary evidence for the research on processing technology and the establishment of quality standards. According to the textual research， it is known that Ostreae Concha has a long history of being used in medicine， and there have been many aliases and local names in each historical period. Shennong's Classic of the Materia Medica（Shennong Bencaojing） began to use Muli as the correct name， which has continued to use to today， and there were also aliases such as Muge， Zuogu Muli and Haoke. Ostreae Concha has a wide range of localities and irregular harvesting periods. The ancients believed that its left shell was of superior quality， but this has not been seen in modern. And there were many kinds of processing methods of Ostreae Concha， such as grinding， roasting， calcining， frying， simmering， quenching and so on， and the calcining was still in use. The different editions of Chinese Pharmacopoeia from 1963 to 2020 contain only calcined Ostreae Concha， and the local processing specifications mainly include three kinds of processed products（calcined products， salt-soaked products and vinegar-soaked products）. Modern processing research mainly focuses on process optimization， changes in chemical composition and pharmacological effects， and the research methods are relatively single. Overall， there are currently issues such as inconsistent processing standards， unclear process parameters and imperfect quality standards， which are not conducive to the quality control and standardized clinical use of Ostreae Concha. Therefore， it is necessary to further investigate the pharmacological substance basis of Ostreae Concha and its processed products in order to elucidate the processing mechanism， standardize the processing technology and improve the quality standard.

Objective:To investigate the risk factors associated with post-prematurity respiratory disease (PPRD) in very preterm infants.Methods:A prospective cohort study was conducted, enrolling 369 very preterm infants who were admitted to the neonatal intensive care unit of Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, within one week of birth from January 2019 to June 2023. Data on maternal and infant clinical characteristics, neonatal morbidities, and treatments during hospitalization were collected. The very preterm infants were divided into 2 groups based on whether they developed PPRD. Continuous variables were compared using Mann-Whitney U test, while categorical variables were compared using χ2 tests or continuity correction χ2 test. Multivariate Logistic regression analysis was used to identify the independent risk factors for PPRD in very preterm infants. Results:Among the 369 very preterm infants, 217 cases(58.8%) were male, with a gestational age of 30 (28, 31) weeks at birth and a birth weight of 1 320 (1 085, 1 590) g. Of these, 116 cases (31.4%) developed PPRD, while 253 cases (68.6%) did not. The very preterm infants in the PPRD group had a lower gestational age and lower birth weight (both, P<0.001). The PPRD group also had a higher proportion of males, lower Apgar scores at the 1 th minute after birth and the 5 th minutes after birth, a higher rate of born via cesarean delivery, and a higher incidence of bronchopulmonary dysplasia, more pulmonary surfactant treatment, longer durations of mechanical ventilation, longer total oxygen therapy, and lower Z-score for weight at discharge (all P<0.05). Multivariate Logistic regression analysis showed that gestational age ( OR=0.85, 95% CI 0.73-0.99, P=0.037), born via cesarean delivery ( OR=2.23, 95% CI 1.21-4.10, P=0.010), a duration of mechanical ventilation ≥7 days ( OR=2.51, 95% CI 1.43-4.39, P=0.001), and a Z-score for weight at discharge ( OR=0.82, 95% CI 0.67-0.99, P=0.040) were all independent risk factors for PPRD in very preterm infants. Conclusion:Very preterm infants with a small gestational age, born via cesarean section, mechanical ventilation ≥7 days, and a low Z-score for weight at discharge should be closely monitored for PPRD, and provided with standardized respiratory management after discharge.

ObjectiveTo establish the multi-technique characteristic profiles of Alumen by X-ray diffraction（XRD）， Fourier-transform infrared spectroscopy（FTIR） and thermogravimetric-differential thermal analysis（TG-DTA）， and to explore the spectral characteristics for rapid identification of Alumen and its potential adulterant， Ammonium alum. MethodsA total of 27 batches of Alumen samples from 8 production regions were collected for preliminary identification based on visual characteristics. The PDF standard cards of XRD were used to differentiate Alumen from A. alum， and the XRD characteristic profiles of Alumen were established， and then the common peaks were screened. Based on hierarchical clustering analysis（HCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， the characteristic information that could be used for identification of Alumen was selected with variable importance in the projection（VIP） value>1. FTIR characteristic profiles of Alumen were established， and key wavenumbers for identification were screened by HCA and OPLS-DA with VIP value>1. Meanwhile， the thermogravimetric differences between Alumen and A. alum were analyzed by TG-DTA， and the thermogravimetric traits that could be used for identification were screened. ResultsAlumen and A. alum could not be effectively distinguished by traits alone. However， by comparing the PDF standard cards of XRD， 15 batches of Alumen and 12 batches of A. alum could be distinguished. In the XRD profiles， 10 characteristic peaks were confirmed， corresponding to diffraction angles of 14.560°， 24.316°， 12.620°， 32.122°， 17.898°， 34.642°， 27.496°， 46.048°， 40.697° and 21.973°. In the FTIR profiles， 4 wavenumber ranges（399.193-403.050， 1 186.010-1 471.420， 1 801.190-2 620.790， 3 612.020-3 997.710 cm^-1） and 12 characteristic wavenumbers（1 428.994， 1 430.922， 1 432.851， 1 434.779， 1 436.708， 1 438.636， 1 440.565， 1 442.493， 1 444.422， 1 446.350， 1 448.279， 1 450.207 cm^-1） were identified. In the TG-DTA profiles， there were characteristic decomposition peaks of ammonium ion and mass reduction features near 555.34 ℃ for A. alum. These characteristics could serve as important criteria for distinguishing the authenticity of Alumen. ConclusionXRD， FTIR and TG-DTA can be used to rapidly detect Alumen and A. alum， and combined with the discriminant features selected through chemometrics， the rapid and accurate identification of Alumen and A. alum can be achieved. The research findings provide new approaches for the rapid identification of Alumen.

ObjectiveTo establish the multi-technique characteristic profiles of Alumen by X-ray diffraction（XRD）， Fourier-transform infrared spectroscopy（FTIR） and thermogravimetric-differential thermal analysis（TG-DTA）， and to explore the spectral characteristics for rapid identification of Alumen and its potential adulterant， Ammonium alum. MethodsA total of 27 batches of Alumen samples from 8 production regions were collected for preliminary identification based on visual characteristics. The PDF standard cards of XRD were used to differentiate Alumen from A. alum， and the XRD characteristic profiles of Alumen were established， and then the common peaks were screened. Based on hierarchical clustering analysis（HCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， the characteristic information that could be used for identification of Alumen was selected with variable importance in the projection（VIP） value>1. FTIR characteristic profiles of Alumen were established， and key wavenumbers for identification were screened by HCA and OPLS-DA with VIP value>1. Meanwhile， the thermogravimetric differences between Alumen and A. alum were analyzed by TG-DTA， and the thermogravimetric traits that could be used for identification were screened. ResultsAlumen and A. alum could not be effectively distinguished by traits alone. However， by comparing the PDF standard cards of XRD， 15 batches of Alumen and 12 batches of A. alum could be distinguished. In the XRD profiles， 10 characteristic peaks were confirmed， corresponding to diffraction angles of 14.560°， 24.316°， 12.620°， 32.122°， 17.898°， 34.642°， 27.496°， 46.048°， 40.697° and 21.973°. In the FTIR profiles， 4 wavenumber ranges（399.193-403.050， 1 186.010-1 471.420， 1 801.190-2 620.790， 3 612.020-3 997.710 cm^-1） and 12 characteristic wavenumbers（1 428.994， 1 430.922， 1 432.851， 1 434.779， 1 436.708， 1 438.636， 1 440.565， 1 442.493， 1 444.422， 1 446.350， 1 448.279， 1 450.207 cm^-1） were identified. In the TG-DTA profiles， there were characteristic decomposition peaks of ammonium ion and mass reduction features near 555.34 ℃ for A. alum. These characteristics could serve as important criteria for distinguishing the authenticity of Alumen. ConclusionXRD， FTIR and TG-DTA can be used to rapidly detect Alumen and A. alum， and combined with the discriminant features selected through chemometrics， the rapid and accurate identification of Alumen and A. alum can be achieved. The research findings provide new approaches for the rapid identification of Alumen.

According to General Chapter 1145 of Division IV in the Chinese Pharmacopoeia (2020 Edition), the test for depressor substances is a common method for drug testing. It determines whether the level of depressor substances in a test sample complies with the specified standards by comparing the extent of blood pressure reduction in anesthetized cats induced by the histamine reference substance and the test sample. If an out-of-specification (OOS) result occurs in the test for depressor substances, it may be caused by inherent quality issues of the drug or errors in the testing process. Therefore, analyzing the causes of OOS is particularly important for confirming the test results and evaluating drug quality. Cats are used as experimental animals in the test for depressor substances. Compared with conventional laboratory animals, they are less stable, surgery procedures are more challenging, and the testing process is more complex. These factors make it more difficult to investigate the causes of OOS in this test. Based on a review of the literature and practical work experience, this article analyzes the causes of OOS in the test for depressor substances from the following five aspects: (1) an analysis of the impact of drug standards on OOS from three aspects: standard determination, standard content, and standard drafting; (2) personnel qualifications, including pre-employment training, compliance with standard operating procedures during experimental operations, and the ability to operate instruments; (3) factors related to cats, used as experimental animals in the test for depressor substances, including physiological characteristics, genetic background, and abnormal conditions during the experiment; (4) reference substances, reagents, test samples, and key instruments such as the multi-channel physiological signal instrument; (5) experimental operations including animal anesthesia, arterial and venous catheterization, drug administration, and data processing. This article aims to provide reference approaches for professionals engaged in the testing of pharmaceuticals and biological products when analyzing the causes of OOS in the test for depressor substances.

According to General Chapter 1145 of Division IV in the Chinese Pharmacopoeia (2020 Edition), the test for depressor substances is a common method for drug testing. It determines whether the level of depressor substances in a test sample complies with the specified standards by comparing the extent of blood pressure reduction in anesthetized cats induced by the histamine reference substance and the test sample. If an out-of-specification (OOS) result occurs in the test for depressor substances, it may be caused by inherent quality issues of the drug or errors in the testing process. Therefore, analyzing the causes of OOS is particularly important for confirming the test results and evaluating drug quality. Cats are used as experimental animals in the test for depressor substances. Compared with conventional laboratory animals, they are less stable, surgery procedures are more challenging, and the testing process is more complex. These factors make it more difficult to investigate the causes of OOS in this test. Based on a review of the literature and practical work experience, this article analyzes the causes of OOS in the test for depressor substances from the following five aspects: (1) an analysis of the impact of drug standards on OOS from three aspects: standard determination, standard content, and standard drafting; (2) personnel qualifications, including pre-employment training, compliance with standard operating procedures during experimental operations, and the ability to operate instruments; (3) factors related to cats, used as experimental animals in the test for depressor substances, including physiological characteristics, genetic background, and abnormal conditions during the experiment; (4) reference substances, reagents, test samples, and key instruments such as the multi-channel physiological signal instrument; (5) experimental operations including animal anesthesia, arterial and venous catheterization, drug administration, and data processing. This article aims to provide reference approaches for professionals engaged in the testing of pharmaceuticals and biological products when analyzing the causes of OOS in the test for depressor substances.

Objective To observe the efficacy of ruiyun procedure for hemorrhoids(RPH)combined with conformal suture in the treatment of severe prolapsed hemorrhoids.Methods Seventy-eight patients with severe prolapsed hemorrhoids admitted to the First People's Hospital of Xuzhou from June 2021 to August 2022 were selected and divided into observation group and control group according to random number table method,with 39 cases in each group.Patients in observation group were treated with RPH combined with conformal suture,and patients in control group were treated with external peeling and internal ligation.Operation duration,intraoperative blood loss,postoperative complications,wound healing time,anal function and overall satisfaction were compared between two groups.Results The intraoperative blood loss in observation group was significantly less than that in control group,hospital stay was significantly shorter than that in control group(P<0.05).Postoperative pain,bleeding,anal edema and the formation of anal skin pad in observation group were significantly better than those in control group(P<0.05).At 12 weeks after surgery,Wexner anal incontinence scores in both groups were significantly lower than before surgery(P<0.05),and the Wexner anal incontinence score in observation group was significantly lower than that in control group(P<0.05).The cure rate of observation group was significantly higher than that of control group(92.31%vs.74.36%,χ2=55.46,P=0.03),and the overall satisfaction with treatment was significantly higher than that of control group(χ2=58.57,P=0.02).Conclusion RPH combined with conformal suture is effective in treatment of severe prolapsed hemorrhoids,which can reduce the pain of patients,shorten the length of hospital stay,reduce complications,and improve the comfort and satisfaction of patients.

Objective:To analyze the clinical value of 18F-FDG PET/MR for precise localization of epileptogenic foci in patients with refractory epilepsy. Methods:From February 2019 to December 2021, 81 patients (52 males, 29 females; age (30.0±10.9) years) with refractory epilepsy confirmed in Ruijin Hospital Shanghai Jiao Tong University School of Medicine were retrospectively enrolled. All patients underwent preoperative PET/MR exam, and the possible position of the epileptogenic foci were determined by PET/MR imaging and pre-surgical evaluation, then the stereoelectroencephalography (SEEG) electrodes were implanted. Surgery was performed, and outcome was assessed by using a modified Engel classification two years after surgery. χ2 test was used to compare the detection rates of MRI and PET/MR fusion imaging in localizing epileptogenic foci and the detection rates of epileptogenic foci in temporal lobe epilepsy (TLE) and extratemporal lobe epilepsy (ETLE) by PET/MR. Results:MRI correctly localized seizure foci in 38 patients, with the detection rate of 46.91%(38/81), while PET/MR detected seizure foci in 73 patients, with the detection rate of 90.12%(73/81; χ2=35.05, P<0.001). There were 63 TLE and 18 ETLE patients. The detection rate of PET/MR in localizing seizure foci in TLE patients was 95.24%(60/63), which was significantly higher than that in ETLE patients (13/18; χ2=5.94, P=0.015). After 2 years follow-up, the postoperative efficacy rate of TLE patients with Engel grades Ⅰ-Ⅱ was 76.19%(48/63), which was 13/18 of ETLE patients ( χ2=0.12, P=0.731). Conclusion:Hybrid PET/MR imaging can accurately locate epileptogenic foci, especially for MRI negative lesions, which provides precision imaging information for surgical planning and improves surgical success rate.

Objective:To compare the short-term efficacy and the safety of microwave ablation (MWA) and radiofrequency ablation (RFA) in the treatment of benign thyroid nodules (BTNs).Methods:This prospective randomized controlled trial, performed from December 2019 to September 2021, included 36 patients with solid or predominantly solid BTNs who met the eligibility criteria and provided written informed consent at the Nanjing sub-center (Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine). Patients were assigned to either the MWA group or the RFA group (18 patients in each group) at a ratio of 1∶1 using a block randomization design and allocation concealment using sealed envelope randomization. The independent-sample t-test and χ2 test were used to compare the volume reduction rates (VRRs), effective rates (VRRs≥50%), cosmetic scores, and complication rates at 1, 3, and 6 months after treatment between the two groups. Results:The clinical characteristics of the two groups of patients were comparable. After ablation, the nodule volume was significantly reduced in both groups. At 1, 3, and 6 months, there was no significant difference in the volume between the two groups (all P>0.05). At 3 months, the RFA group had a larger VRRs than that in the MWA group (62.08%±12.46% vs. 46.90%±23.16%, t=-2.45, P=0.021). However, at 1 and 6 months, no statistical significance was observed (both P>0.05). No significant difference was observed in the effective rates at the last follow-up (14/18 vs. 18/18, P=0.104). However, the RFA group had a lower cosmetic score than that in the MWA group (1.78±0.43 vs. 2.17±0.51, t=-2.47, P=0.019). There was no statistically significant difference in the complication rates between the two groups (all P>0.05). Conclusions:Both MWA and RFA were effective and safe treatments for BTNs, with no significant differences in short-term efficacy and safety. In addition, the RFA group showed slightly more favorable outcomes than the MWA group in terms of cosmetic improvement.

Kirsten rat sarcoma viral oncogene homolog(KRAS)gene is one of the most commonly mutated oncogenes.It has been found that KRAS inhibitors have the potential therapeutic effect on cancer patients with this gene mutation.In this study,machine learning was applied to develop a QSAR(quantitative structure-activity relationship)model for KRAS small molecule inhibitors.A total of 1857data points of IC50 and SMILES(simplified molecular input line entry system)for KRAS inhibitors were collected from three databases:ChEMBL,BindingDB,and PubChem.And nine different classifiers were constructed using three different feature screening methods combined with three machine learning models,namely,random forest,support vector machine,and extreme gradient boosting machine.The results showed that the SVM model combined with mutual information feature selection exhibited the best performance:AUCtest=0.912,ACCtest=0.859,F1test=0.890.Moreover,it also demonstrated good predictive performance on the external validation set(AUCExt=0.944,RecallExt=0.856,FPRExt=0.111).This study provides a new technical route for KRAS inhibitor screening in natural product databases using artificial intelligence methods.