Integrated biomarker profiling for enhanced heart failure management: a comprehensive study on the application of chemiluminescence detection of GDF-15 and multi-index models.

BACKGROUND: Growth differentiation factor 15 (GDF-15) holds promise as a novel marker for heart failure. However, current detection methods fall short of meeting essential clinical requirements. OBJECTIVES: The aim of this investigation was to assess the clinical significance of serum GDF-15 detection through the chemiluminescence method and to enhance its clinical application for predicting and evaluating heart failure in patients. METHODS: A total of 122 patients were included in the study. Serum GDF-15 levels were assessed using the chemiluminescence method and compared with results for NT-proBNP, N-terminal pro-brain natriuretic peptide (NT-proBNP), growth stimulation expressed gene 2 (ST2), high-sensitivity C-reactive protein (hs-CRP), and left ventricular ejection fraction (LVEF). Additionally, we conducted an analysis to evaluate the correlation between these indicators and heart failure events. RESULTS: LVEF, ST2, NT-proBNP, and GDF-15 exhibited significant associations with heart failure. In the multivariate proportional hazard analysis, subsequent to adjusting for the effects of other markers, however, only LVEF and GDF-15 retained their associations with heart failure events. Notably, GDF-15 emerged as the exclusive marker suitable for diagnosing heart failure with preserved ejection fraction. CONCLUSION: The chemiluminescence method proved efficient in the rapid and sensitive detection of GDF-15 in patients with heart failure. Additionally, GDF-15 combined with other markers created a robust multi-index model. This model is valuable for heart failure diagnosis, treatment, and monitoring, with broad clinical applicability.

Multi-index control strategy from cement calcination denitration system: a model predictive control method for combined control of nitrogen oxide and ammonia escape.

The cement industry is one of the main sources of NOx emissions, and automated denitration systems enable precise control of NOx emission concentration. With non-linearity, time delay and strong coupling data in cement production process, making it difficult to maintain stable control of the denitration system. However, excessive pursuit of denitration efficiency is often prone to large ammonia escape, causing environmental pollution. A multi-objective prediction model combining time series and a bi-directional long short-term memory network (MT-BiLSTM) is proposed to solve the data problem of the denitration system and achieve simultaneous prediction of NOx emission concentration and ammonia escape value. Based on this model, a model predictive control framework is proposed and a control strategy of denitration system with multi-index model predictive control (MI-MPC) is built based on neural networks. In addition, the differential evolution (DE) algorithm is used for rolling optimization to find the optimal solution and to obtain the best control variable parameters. The control method proposed has significant advantages over the traditional PID (proportional integral derivative) controller, with a 3.84% reduction in overshoot and a 3.04% reduction in regulation time. Experiments prove that the predictive control framework proposed in this paper has better stability and higher accuracy, with practical research significance.

Integrating multi-index determination coupled with hierarchical cluster analysis to evaluate the quality consistency of PVE30, an anti-HSV "glycoprotein" macromolecule of Prunellae Spica.

INTRODUCTION: Prunellae Spica (PS), derived from the dried fruit spikes of Prunella vulgaris L., is a traditional Chinese medicinal herb. Our previous studies found that PVE30, a water-extracting ethanol-precipitating "glycoprotein" macromolecule of PS, was a potential anti-herpes simplex virus (HSV) candidate. However, due to the complex structure and diverse bioactivity of the "glycoprotein", ensuring its quality consistency across different batches of PVE30 becomes particularly challenging. This poses a significant hurdle for new drug development based on PVE30. OBJECTIVE: Our study aimed to integrate multi-index determination coupled with hierarchical cluster analysis (HCA) to holistically profile the quality consistency of "glycoprotein" in PVE30. METHODS: High-performance gel permeation chromatography with refractive index detector (HPGPC-RID) was used to characterise the molecular weight (Mw) distribution, HPLC-PDA was used to quantitatively analyse the composed monosaccharides and amino acids, and UV-VIS was used to quantify the contents of polysaccharides and proteins. Qualitative and quantitative consistency was analysed for each single index in 16 batches of PVE30, and a 16 × 38 data matrix, coupled with HCA, was used to evaluate the holistic quality consistency of PVE30. RESULTS: The newly developed and validated methods were exclusive, linear, precise, accurate, and stable enough to quantify multi-indexes in PVE30. Single-index analysis revealed that 16 batches of PVE30 were qualitatively consistent in Mw distribution, polysaccharides and proteins, and the composition of composed monosaccharides and amino acids but quantitatively inconsistent in the relative contents of some "glycoprotein" macromolecules, as well as the composed monosaccharides/amino acids. HCA showed that the holistic quality of PVE30 was inconsistent, the inconsistency was uncorrelated with the regions where PS was commercially collected, and the contents of 17 amino acids and 2 monosaccharides contributed most to the holistic quality inconsistency. CONCLUSION: Multi-index determination coupled with HCA was successful in evaluating the quality consistency of PVE30, and the significant difference in quantitative indices was not caused by the origin of PS. The cultivating basis should be confirmed for PVE30-based new drug development.

Comprehensive evaluation of the quality of Houttuynia cordata from different producing areas / 中国药房

OBJECTIVE To evaluate the comprehensive quality of Houttuynia cordata from different producing areas. METHODS Using total flavonoids， water-soluble extract， moisture， total ash and acid-insoluble ash as indicators， the entropy weight method was used to objectively weigh each indicator， and the relative correlation degree （r）i calculated by grey correlation method was used as a measure to comprehensively evaluate the quality of H. cordata. RESULTS The weights of total flavonoids， total ash， moisture， acid-insoluble ash， and water-soluble extract were 0.295 5， 0.227 3， 0.188 7， 0.145 1， and 0.143 4， respectively. The weights of total flavonoids and total ash were relatively large. The ri of 30 batches of H. cordata ranged from 0.233 2 to 0.673 9； the average ri of samples from Quanzhou County and Ziyuan County of Guangxi Zhuang Autonomous Region were the highest， which were 0.638 3 and 0.598 7， respectively， followed by samples from Lingchuan County of Guangxi Zhuang Autonomous Region （0.556 1） and Jianshui County of Yunnan Province （0.452 8）. The quality of medicinal materials produced in the above producing areas was generally good and stable. CONCLUSIONS Entropy weight method combined with the grey correlation method can be used to comprehensively evaluate the quality of H. cordata. The overall quality of H. cordata produced in Quanzhou County of Guangxi Zhuang Autonomous Region is the best.

Simultaneous extraction of crocin and geniposide from gardenia fruits (Gardenia jasminoides Ellis) by probe-type ultrasound-assisted natural deep eutectic solvents and their inhibition effects on low density lipoprotein oxidation.

The simultaneous extraction of crocin and geniposide from gardenia fruits (Gardenia jasminoides Ellis) was performed by integrating natural deep eutectic solvents (NADES) and ultrasound-assisted extraction (UAE). Among the eight kinds of NADES screened, choline chloride-1,2-propylene glycol was the most suitable extractant. The probe-type ultrasound-assisted NADES extraction system (pr-UAE-NADES) demonstrated higher extraction efficiency compared with plate-type ultrasound-assisted NADES extraction system (pl-UAE-NADES). Orthogonal experimental design and a modified multi-index synthetic weighted scoring method were adopted to optimize pr-UAE-NADES extraction process. The optimal extraction conditions that had a maximum synthetic weighted score of 29.46 were determined to be 25 °C for extraction temperature, 600 W for ultrasonic power, 20 min for extraction time, and 25% (w/w) for water content in NADES, leading to the maximum yields (7.39 ± 0.20 mg/g and 57.99 ± 0.91 mg/g, respectively) of crocin and geniposide. Thirty-three compounds including iridoids, carotenoids, phenolic acids, flavonoids, and triterpenes in the NADES extract were identified by LC-Q-TOF-MS2 coupled with a feature-based molecular networking workflow. The kinetics evaluation of the conjugated dienes generation on Cu2+-induced low density lipoprotein (LDL) oxidation via the four-parameter logistic regression model showed that crocin increased the lag time of LDL oxidation in a concentration-dependent manner (15 µg/mL, 30 µg/mL, 45 µg/mL) by 12.66%, 35.44%, and 73.42%, respectively. The quantitative determination for fluorescence properties alteration of the apolipoprotein B-100 exhibited that crocin effectively inhibited the fluorescence quenching of tryptophan residues and the modification of lysine residues caused by reactive aldehydes and malondialdehydes. The pr-UAE-NADES showed significant efficiency toward the simultaneous extraction of crocin and geniposide from gardenia fruits. And this study demonstrates the potential utility of gardenia fruits in developing anti-atherogenic functional food.

Multi-Index Comprehensive Assessment Optimized Critical Flavonoids Extraction from Semen Hoveniae and Their In Vitro Digestive Behavior Evaluation.

Critical flavonoids from Semen Hoveniae have huge potential bioactivities on hypoglycemic. A multi-index comprehensive assessment based on Analytic Hierarchy Process (AHP) method was performed to optimize the extraction process of flavonoids from Semen Hoveniae, which taking dihydromyricetin, taxifolin, myricetin and quercetin as indexes, and, then, an in vitro simulated gastrointestinal digestion model was established to investigate the changes of flavonoids contents and their antioxidant capacity before and after digestion. The results showed that three influence factors acted significantly with the order of ethanol concentration > solid-liquid ratio > ultrasound time. The optimized extraction parameters were as follows: 1:37 w/v of solid-liquid ratio, 68% of ethanol concentration and 45 min for ultrasonic time. During in vitro digestion, the order of remaining ratio of four flavonoids in the extract was dihydromyricetin > taxifolin > myricetin > quercetin in gastric digestion, and remaining ratio of taxifolin was 34.87% while others were restructured in intestinal digestion. Furthermore, the 1,1-dipheny-2-picryhydrazyl free radical (DPPH ·) scavenging ability and oxygen radical absorption capacity (ORAC) of extract were more stable in gastric digestion. After an hour's intestinal digestion, the extract had no DPPH antioxidant capacity, but amazingly, its ORAC antioxidant capacity was retained or increased, which implied that substances were transformed and more hydrogen donors were produced. This study has carried out a preliminary discussion from the perspective of extraction and put forward a new research idea, to improve the in vivo bioavailability of the critical flavonoids from Semen Hoveniae.

Quality evaluation of ginkgo biloba leaves based on non-targeted metabolomics and representative ingredient quantification.

Ultra-performance liquid chromatography coupled with time-of-flight mass spectrometry (UPLC-Q-TOF-MS/MS) combined with multivariate statistical analysis was applied to the study of plant metabolomics to reveal the factors affecting the content of ginkgo leaf compounds. As a follow-up analysis, the terpene lactones and ginkgolic acids were quantified simultaneously using ultra-performance liquid chromatography coupled with triple quadrupole mass spectrometry (UPLC-QqQ-MS/MS), and subsequently total flavonol glycosides were quantified by high-performance liquid chromatography (HPLC). The results revealed that a total of 52 compounds were potentially identified by establishing a database, and 10 compounds were verified by reference standards; terpene lactones, ginkgolic acids, and flavonoids were the differential compounds; and ginkgolide A was identified as an important indicator compound for tree age. In addition, quantitative analysis showed that the contents of total flavonol glycosides and terpene lactones were highest during April and August in young ginkgo leaves, and differed based on origin. In summary, numerous compounds were rapidly detected by liquid chromatography coupled with MS, the ginkgo leaf samples were compared, and the differential metabolites were screened out. The content changing rules of the target compounds in ginkgo leaves from different regions with different tree ages and harvesting periods were clarified.

Content determination and chemometric analysis of 11 components in Xueli zhike syrup / 中国药房

OBJECTIVE To determine the contents of 11 components in Xueli zhike syrup， establish its chemometric method and provide reference for its quality control. METHODS HPLC method was established to simultaneously determine the contents of amygdalin， deapi-platycoside E， platycoside E， platycodin D3， euscaphic acid， tormentic acid， maslinic acid， corosolic acid， praeruptorin A， praeruptorin B and praeruptorin E in 12 batches of Xueli zhike syrup. The quality evaluation of 12 batches of samples was performed by chemometrics. RESULTS The 11 components had good linear relationships within their respective ranges （r≥0.999 1）； RSDs of precision， reproducibility and stability （24 h） tests were all lower than 2.00%. The average recovery rates ranged 96.90%-100.01% （RSDs were all lower than 2.00%）. Cluster analysis showed that 12 batches of samples were clustered into 3 groups. Principal component analysis showed that the first two principal components could represent 88.53% information of 11 components in Xueli zhike syrup. Partial least squares-discrimination analysis showed that euscaphic acid， amygdalin and praeruptorin A were the main potential markers affecting the quality of Xueli zhike syrup. CONCLUSIONS The established method can be used to control the quality of Xueli zhike syrup.

Optimization of extraction technology for couplet medicinals of Astragalus membranaceus-Puerariae lobata by multi-index comprehensive scoring method combined with orthogonal experiment / 中国药房

OBJECTIVE To optimize extraction technology of couplet medicinals of Astragalus membranaceus-Puerariae lobatae. METHODS With contents of puerarin，daidzin，calycosin-7-O-β-D-glucopyranoside，daidzein，calycosin and formononetin and the yield of dry extract as index，the analytic hierarchy method was used to determine the weight coefficient of each index and calculate the comprehensive score. The effects of solid-liquid ratio， extraction times and extraction time on the comprehensive score were investigated by single factor test. The level of each factor was determined. By multi-index comprehensive scoring method， using comprehensive scores of above 7 indexes as indexes，the extraction technology of couplet medicinals of A. membranaceus-P. lobata was optimized by orthogonal experiment，and the validation tests were conducted. RESULTS The weight coefficient for the contents of puerarin，daidzin，calycosin-7-O-β-D-glucopyranoside，daidzein，calycosin and formononetin and the yield of dry extract were respectively 0.304 7，0.065 2，0.185 8，0.185 8，0.107 8，0.107 8 and 0.042 7. The optimal extraction technology was determined as follows： solid-liquid of 1∶8（g/mL），extracting 3 times and for 1 h each time. RSD of each evaluation index in the validation test results was lower than 3.00% （n＝3）. CONCLUSIONS The optimized extraction technology for A. membranaceus-P. lobata is stable and feasible.

Comprehensive quality evaluation of Periploca forrestii produced in Guizhou using multi-index components combined with multivariate statistical analysis / 中国药房

OBJECTIVE To establish comprehensive quality evaluation method based on multi-index components combined with multivariate statistical analysis， and to comprehensively evaluate the quality of Periploca forrestii. METHODS Taking 11 batches of P. forrestii medicinal materials from different areas in Guizhou as samples， the contents of neochlorogenic acid， cryptochlorogenic acid， chlorogenic acid， procyanidin A2， isochlorogenic acid A and isochlorogenic acid C were determined by HPLC. Clustering heat map analysis， grey correlation analysis（GRA） and technique for order preference by similarity to ideal solution（TOPSIS） were used to evaluate the quality of P. forrestii. RESULTS The results of methodological investigation of content determination were in accordance with the relevant regulations， and the linear relationship and accuracy of each component were good in their respective sampling range. The contents of chlorogenic acid， cryptochlorogenic acid， neochlorogenic acid， procyanidin A2， isochlorogenic acid A and isochlorogenic acid C in 11 batches of samples were 3.650-7.302， 0.888-2.575， 1.371- 2.386， 0.947-1.469， 0.084-0.169 and 0.725-1.067 mg/g， respectively. The content of each component was significantly different， with the highest content of chlorogenic acid and the lowest content of isochlorogenic acid A. The comprehensive results of cluster heat map， GRA and TOPSIS analysis showed that the comprehensive quality of S5 and S10 was relatively good. CONCLUSIONS The established method is accurate， stable and simple. Combined with multivariate statistical analysis method， it can be used for quality evaluation of P. forrestii. The quality of samples from Jiuzhou Town and Caiguan Town of Xixiu District in Anshun City of Guizhou Province are relatively good among 11 different origin samples.

Estimation of average treatment effect based on a multi-index propensity score.

BACKGROUND: Estimating the average effect of a treatment, exposure, or intervention on health outcomes is a primary aim of many medical studies. However, unbalanced covariates between groups can lead to confounding bias when using observational data to estimate the average treatment effect (ATE). In this study, we proposed an estimator to correct confounding bias and provide multiple protection for estimation consistency. METHODS: With reference to the kernel function-based double-index propensity score (Ker.DiPS) estimator, we proposed the artificial neural network-based multi-index propensity score (ANN.MiPS) estimator. The ANN.MiPS estimator employed the artificial neural network to estimate the MiPS that combines the information from multiple candidate models for propensity score and outcome regression. A Monte Carlo simulation study was designed to evaluate the performance of the proposed ANN.MiPS estimator. Furthermore, we applied our estimator to real data to discuss its practicability. RESULTS: The simulation study showed the bias of the ANN.MiPS estimators is very small and the standard error is similar if any one of the candidate models is correctly specified under all evaluated sample sizes, treatment rates, and covariate types. Compared to the kernel function-based estimator, the ANN.MiPS estimator usually yields smaller standard error when the correct model is incorporated in the estimator. The empirical study indicated the point estimation for ATE and its bootstrap standard error of the ANN.MiPS estimator is stable under different model specifications. CONCLUSIONS: The proposed estimator extended the combination of information from two models to multiple models and achieved multiply robust estimation for ATE. Extra efficiency was gained by our estimator compared to the kernel-based estimator. The proposed estimator provided a novel approach for estimating the causal effects in observational studies.

A novel photoelectrochemical microfluidic chip for multi-index determination of diabetes and its complications.

Rapid and accurate monitoring of glucose, lactic acid, pyruvic acid, and 3-hydroxybutyric acid is essential in preventing, diagnosing, and treating diabetes, lactic acidosis and diabetic ketoacidosis. Herein, a novel sensing chip for multi-index determination of diabetes, lactic acidosis, and diabetic ketoacidosis was presented by integrating microfluidic device and photoelectrochemical (PEC) sensor. In order to block the interference from the reductive species in real samples, the PEC sensor was divided into a biocathode and a photoanode, which were installed separately in the upper and bottom layers of the device. The photoanodes were modified with ZnIn2S4 nanoflower as photosensitive material, while enzymes for catalyzing the analytes were immobilized on the biocathodes. The PEC chip displayed wide detection ranges with low detection limits of 0.035 µM, 0.34 µM, 3.3 µM and 0.035 µM for the four analytes (S/N = 3). The chip also demonstrated decent anti-interference capability and reliability in monitoring the four biomarkers in human serum. Furthermore, a household amperemeter was deployed to record the photocurrent signals, which helps to reduce the cost. By replacing the enzyme on the biocathode, the sensing chip could play a role in monitoring a broad range of species.

[Processing technology of rice-steamed Rehmanniae Radix unearthed from tomb of Haihunhou in the Western Han Dynasty].

With the rice-steamed Rehmanniae Radix unearthed from the tomb of Haihunhou in the Western Han Dynasty as the re-ference, the present study evaluated the quality of Rehmanniae Radix and investigated the processing technology of rice-steamed Rehmanniae Radix to lay the foundation for the research on rice-steamed Rehmanniae Radix products. With catalpol and rehmannioside D as the investigation indexes, the quality and grade of Rehmanniae Radix from different producing areas were evaluated with the methods in 2020 edition of Chinese Pharmacopoeia. UPLC method was established for the determination of catalpol and rehmannioside D in the rice-steamed Rehmanniae Radix. The effects of steaming time, the amount of supplementary rice, and steaming times in the rice-steamed processing on the quality of products were investigated by L_9(3~4) orthogonal test and multi-index comprehensive balance scoring method combined with the content of catalpol and rehmannioside D and appearance characteristics. At last, the stability of the processing technology was tested. The results showed that the optimal processing technology for rice-steamed Rehmanniae Radix was as follows: Rehmanniae Radix and rice(200 g∶4 g) were steamed twice at atmospheric pressure, four hours each time. The mass fractions of catalpol and rehmannioside D were 0.184% and 0.335%, respectively, and the character score was 6.5. The processing conditions are reaso-nable, stable, and feasible. It can provide a basis for the restoration of the ancient rice-steamed processing technology and references for the development of rice-steamed Rehmanniae Radix products in the future.

Research progress on early diagnositic biomarkers of urinary sepsis / 中华泌尿外科杂志

The accuracy of the Sepsis-3 definition in the diagnosis of sepsis has been widely accepted and applied. Indicators such as Procalcitonin(PCT), white blood cell(WBC), C-reactive protein(CRP), platelets(PLT) and albumin are the most extensively and conveniently applied in early alert and diagnosis of urinary sepsis. PCT has a higher specificity and sensitivity compared to other biomarkers, and a sharp drop in WBC is a strong warning for septic shock. However, CRP has a relatively low specificity. IL-6, CD64, Presepsin, miRNA, and PTX-3, among others, are more valuable emerging indicators with higher sensitivity and specificity. However, uniform and standardized technology is necessary for a high quality testing. The combination of multiple biomarkers with a clinical scoring system is more useful than individual biomarkers clinically. This article mainly reviewed the progress of research on indicators related to early alert and diagnosis of urinary sepsis during recent years.

Bioaccessibility analysis of active components in Salvia miltiorrhiza / 药学学报

In this study, a method for simultaneous quantitative analysis of 6 salvianolic acids and 4 tanshinones in extracts of Salviae Miltiorrhizae Radix et Rhizoma was established by ultra-high performance liquid chromatography (UHPLC). The semi-biomimetic method was applied to simulate digestion process in vitro, to explore the digestion and transport characters of oral administration through the gastrointestinal tract, and to explain the content ratio changes and bioaccessibility of active ingredients in Salviae Miltiorrhizae Radix et Rhizoma. The results showed that the 10 index components have a good linear relationship in the corresponding concentration range, and the average recovery rate was 91.35% to 105.65%. After simulated digestion in vitro, types of chemical composition in simulated gastric fluid and simulated intestinal fluid digested extracts of Salviae Miltiorrhizae Radix et Rhizoma did not change significantly. While the content ratio of salvianolic acid B and rosmarinic acid decreased, and the content ratio of protocatechuic aldehyde and danshensu increased. In the simulated gastric fluid digestion extract of Salviae Miltiorrhizae Radix et Rhizoma, the order of bioaccessibility was: danshensu (50.19%) > salvianolic acid B (33.44%) > lithospermic acid (27.34%) > salvianolic acid A (21.71%) > rosmarinic acid (12.31%). In the simulated intestinal fluid digestion extract of Salviae Miltiorrhizae Radix et Rhizoma, the order of bioaccessibility was: 15,16-dihydrotanshinone Ⅰ (5.45%) > tanshinone Ⅰ (3.67%) > cryptotanshinone (3.29%) > tanshinone ⅡA (3.01%) > salvianolic acid A (2.39%) > lithospermic acid (1.57%) > salvianolic acid B (1.02%) > danshensu (0.41%) > rosmarinic acid (0.34%). In conclusion, the UHPLC method established in this study can be applied for accurately and sensitively detecting the contents of 6 salvianolic acids and 4 tanshinones in Salviae Miltiorrhizae Radix et Rhizoma. The results of semi-biomimetic extraction showed that not all components were extracted with simulated gastric fluid and simulated intestinal fluid, especially rosmarinic acid and salvianolic acid B. Therefore, in the quality study of Salviae Miltiorrhizae Radix et Rhizoma and its extract, bioavailability should be considered at the same time when select quality markers and determine their content limits.

Processing technology of rice-steamed Rehmanniae Radix unearthed from tomb of Haihunhou in the Western Han Dynasty / 中国中药杂志

With the rice-steamed Rehmanniae Radix unearthed from the tomb of Haihunhou in the Western Han Dynasty as the re-ference, the present study evaluated the quality of Rehmanniae Radix and investigated the processing technology of rice-steamed Rehmanniae Radix to lay the foundation for the research on rice-steamed Rehmanniae Radix products. With catalpol and rehmannioside D as the investigation indexes, the quality and grade of Rehmanniae Radix from different producing areas were evaluated with the methods in 2020 edition of Chinese Pharmacopoeia. UPLC method was established for the determination of catalpol and rehmannioside D in the rice-steamed Rehmanniae Radix. The effects of steaming time, the amount of supplementary rice, and steaming times in the rice-steamed processing on the quality of products were investigated by L_9(3~4) orthogonal test and multi-index comprehensive balance scoring method combined with the content of catalpol and rehmannioside D and appearance characteristics. At last, the stability of the processing technology was tested. The results showed that the optimal processing technology for rice-steamed Rehmanniae Radix was as follows: Rehmanniae Radix and rice(200 g∶4 g) were steamed twice at atmospheric pressure, four hours each time. The mass fractions of catalpol and rehmannioside D were 0.184% and 0.335%, respectively, and the character score was 6.5. The processing conditions are reaso-nable, stable, and feasible. It can provide a basis for the restoration of the ancient rice-steamed processing technology and references for the development of rice-steamed Rehmanniae Radix products in the future.

Establishment of quantitative analysis of multi -components by single marker and quality evaluation of Gushen dingchuan pills / 中国药房

OBJECTIVE To establish quantitative analysis of multi -components by single marker （QAMS） method to simultaneously detect the contents of cinnamic acid ，cinnamaldehyde，plantamajoside，verbascoside，isoacteoside，calceolarioside B ， psoralen，isopsoralen，neobavaisoflavone and bavachin in Gushen dingchuan pill ，and to perform quality evaluation of Gushen dingchuan pill by combining with chemical pattern recognition . METHODS High-performance liquid chromatography was adopted . Using psoralen as internal standard ，the relative correction factors of the other 9 components were established ，and the contents of each component were calculated and compared with those determined by external standard method . Cluster analysis ，principal component analysis and partial least squares discrimination analysis were performed by the results of QAMS method ，and the qualities of 15 batches of Gushen dingchuan pills were evaluated . RESULTS The above 10 components showed a good linear relationship in their respective ranges （r＞0.999 0）. RSDs of precision ，repeatability，stability and recovery tests were all lower than 2.00%. There was no significant difference between QAMS method and external standard method （P＞0.05）. The results of cluster analysis and principal component analysi showed that 15 batches of Gushen dingchuan pills could be clustered into 3 categories. The results of partial least squares discrimination analysis showed that psoralen ，verbascoside，cinnamaldehyde and isopsoralen were the main potential markers affecting the quality of Gushen dingchuan pills . CONCLUSIONS Established QAMS method for quantitative control of multi index components and chemical pattern recognition can be used for the quality evaluation of Gushen dingchuan pills .

Evaluation of the quality of COVID-19 prevention and control by a novel comprehensive evaluation model in a tertiary general hospital: a prospective observational study.

BACKGROUND: Prevention and control (P&C) of Corona Virus Disease 2019 (COVID-19) is still a critical task in most countries and regions. However, there are many single evaluation indexes to assess the quality of COVID-19 P&C. It is necessary to synthesize the single evaluation indexes reasonably to obtain the overall evaluation results. METHODS: This study was divided into three steps. Step 1: In February 2020, the improved Delphi method was used to establish the quality evaluation indexes system for COVID-19 P&C. Step 2: in March 2020, the CRITIC method was used to adjust the Order Relation Analysis (G1) method to obtain the subjective and objective (S&O) combination weights. The comprehensive evaluation value was obtained using the weighted Efficacy Coefficient (EC) method, weighted TOPSIS method, weighted rank-sum ratio (RSR) method, and weighted Grey Relationship Analysis (GRA) method. Finally, the linear normalization method was used to synthesize the evaluation values of different evaluation methods. Step 3: From April 2020 to May 2021, this evaluation method was used to monitor and assess COVID-19 P&C quality in critical departments prospectively. The results were reported to the departments monthly. RESULT: A quality evaluation indexes system for COVID-19 P&C was established. Kendall's consistency test shows that the four evaluation method had good consistency (χ2 = 43.429, P<0.001, Kendall's consistency coefficient = 0.835). The Spearman correlation test showed that the correlation between the combined evaluation results and the original method was statistically significant(P < 0.001). According to the Mann-Kendall test, from March 2020 to May 2021, the mean value of COVID-19 P&C quality in all critical departments showed an upward trend (P < 0.01). CONCLUSIONS: The combined comprehensive evaluation method based on the S&O combined weight was more scientific and comprehensive than the single weighting and evaluation methods. In addition, monitoring and feedback of COVID-19 P&C quality were helpful for the improvement of P&C quality.

An effective SteinGLM initialization scheme for training multi-layer feedforward sigmoidal neural networks.

Network initialization is the first and critical step for training neural networks. In this paper, we propose a novel network initialization scheme based on the celebrated Stein's identity. By viewing multi-layer feedforward sigmoidal neural networks as cascades of multi-index models, the projection weights to the first hidden layer are initialized using eigenvectors of the cross-moment matrix between the input's second-order score function and the response. The input data is then forward propagated to the next layer and such a procedure can be repeated until all the hidden layers are initialized. Finally, the weights for the output layer are initialized by generalized linear modeling. Such a proposed SteinGLM method is shown through extensive numerical results to be much faster and more accurate than other popular methods commonly used for training neural networks.

A study of the allocation of energy consumption permits among the regions of China based on clustering analysis and cuckoo search.

Energy sources are power force of society and economy to develop. In recent years, extensive energy consumption patterns have threatened China's economic development step by step and made China's economic growth encounter unprecedented "bottlenecks." Therefore, this paper introduce a novel energy allocation scheme including cluster analysis and weighted voting allocation model to limit energy consumption in each region of China. The entire quota allocation process is divided into two parts by the proposed allocation scheme. In the first part, 30 regions in China are grouped into four classes through energy conservation pressure, capacity, responsibility, potential, and effectiveness. And, the total energy consumption is quoted to various classes. In the second part, the total energy consumption of each class is allocated to the corresponding regions. The weighted voting model runs through two-tier allocation schemes, and the allocation schemes based on historical energy consumption, GDP, and population are selected by each class and each region based on the voting rights. The voting rights are quantified by multi-index comprehensive evaluation model, which adopts entropy weight method in the first part owing to inexperience and cuckoo search algorithm (CS) in the second part to choose better weights. The combination of entropy weight method and CS can increase the flexibility of reducing energy consumption policy while maintaining impartiality in decision process. According to the proposed allocation scheme, case study of the allocation for energy consumption in China by 2020 is performed. The allocation results indicate that the proposed allocation scheme improves the fairness and effectiveness to a certain extent, which is superior to the allocation scheme based on historical energy consumption, GDP, and population. We also compare with the state-of-the-art algorithm and prove that our algorithm is more fair and effective. In addition, the proposed distribution scheme can stimulate all regions to cut down energy intensity in the case of meeting the energy consumption needs of each region.