Quality Evaluation Method Research Articles

Research on online evaluation method of MOOC teaching quality based on decision tree-based big data classification

Research on online evaluation method of MOOC teaching quality based on decision tree-based big data classification

Retracted: Evaluation Method of Vocal Music Teaching Quality for Music Majors Based on the Theory of Multiple Intelligences

Retracted: Evaluation Method of Vocal Music Teaching Quality for Music Majors Based on the Theory of Multiple Intelligences

System of indicators and the classifier of methods for quality control and evaluation of agricultural products in the structure of multidimensional inter-industry production cooperation

The article deals with the main issues of product quality management and control in multidimensional inter-industry production cooperation. Regulatory requirements and industry methods for assessing the quality of agricultural raw materials and finished industrial products on the example of leather and foot-wear industry are analyzed. The article presents the structural and logical scheme of the integrated classifier of methods for comprehensive quality assessment of objects and processes in multidimensional organizational structure of interindustry production cooperation. The conditions of digital transformation of agro-industrial complex aiming at improving the quality of leather footwear production on the basis of information-organizational inter-branch interaction between industrial and agricultural enterprises are formed int he article.

Comprehensive HPLC fingerprint analysis based on a two-step extraction method for quality evaluation of Perilla frutescens (L.) Britt.

Abundant chemical components are key to ensure the evaluation accuracy of fingerprint analysis of traditional Chinese medicines (TCMs). A two-step extraction method combining supercritical fluid extraction (SFE) and water ultrasonic extraction was established for the quality evaluation of Perilla frutescens (L.) Britt. Weakly polar components were extracted under optimal SFE conditions (15% co-solvent (EtOH : n-hexane = 1 : 14, (v/v)), 40 °C, 250 bar, and 30 min), and polar components were subsequently extracted by an ultrasonic step (100% water as solvent, 40 °C, and 45 min). Then, HPLC methods were established, which were validated to be accurate, stable, and reliable. In this work, 25 batches of samples were evaluated and the data were analysed by similarity analysis (SA) and hierarchical cluster analysis (HCA). The similarity values of SFE extracts and aqueous extracts were respectively 0.616-0.999, and 0.252-0.997, proving the importance of the extraction method for the accuracy of the subsequent fingerprint analysis results. For the HCA, 25 samples were divided into two categories (leaves and stems), among which four batches of leaves with less similarity were considered as stems, indicating that quality differences of P. frutescens depending on medicinal parts and origin exist. The two-step extraction method developed in this work has been proved to be suitable for the quality evaluation of TCMs with complex compositions.

A Non-Intrusive Speech Quality Evaluation Method Based on the Audiogram and Weighted Frequency Information for Hearing Aid

A Non-Intrusive Speech Quality Evaluation Method Based on the Audiogram and Weighted Frequency Information for Hearing Aid

The educational quality evaluation method of college online teaching mode under the background of big data

The educational quality evaluation method of college online teaching mode under the background of big data

An online teaching quality evaluation method based on improved entropy method in the context of sustainable development

An online teaching quality evaluation method based on improved entropy method in the context of sustainable development

Imaging Quality Evaluation Method of Laser Reflective Tomography Based on Modulation Transfer Function

Imaging Quality Evaluation Method of Laser Reflective Tomography Based on Modulation Transfer Function

Research on Correlation Control of Subjective Patent Indicators Based on Progressive Constraint

Patent indicator evaluation is a relatively objective patent quality evaluation method recognized by academia. Some subjective patent indicators are often related, which to some extent interferes with the objectivity of patent evaluation. This study selects five commonly used subjective patent indicators that are directly related to the compilers of patent documents, which includes patent forward citations, patent family, four digit international patent classifications, patentees, and patent inventors. Through the progressive limitation of the three constraints of patentees, patent priority countries, and patent disclosure years, the correlation between the subjective patent indicators is compared. The research results show that under the control of progressive constraint conditions, the positive correlation between subjective patent indicators is increasingly strengthened as a whole and has strong controllability. Further verification shows that the direct compilers of patent documents can affect the results of patent indicator evaluation by controlling the subjective patent indicator data, thus interfering with the evaluation of patent quality. It is recommended that researchers carefully select multiple subjective patent indicators with strong correlation before using patent indicators to evaluate patent quality, and complete the correlation analysis and screening of subjective patent indicators in advance.

Quality evaluation methods of Poria based on yield and content of alkali extracted polysaccharide

To improve the quality control methods of Poria and develop and utilize its resources fully, alkaline extraction was used in this study to determine the yield and content of alkali-soluble polysaccharides of Poria. The alkali-soluble extracts of Poria were obtained according to the optimum extraction conditions on the basis of single-factor test, and 30 batches of samples were determined. The structure and chemical composition of the alkali-soluble extracts was characterized by high-performance gel permeation chromatography(HPGPC), Fourier transform infrared spectrometry(FT-IR), nuclear magnetic resonance(NMR) spectroscopy and high-performance liquid chromatography(HPLC) with 1-phenyl-3-methyl-5-pyrazolone(PMP-HPLC). The results showed that the content of the alkali-soluble extracts was in the range of 46.98%-73.86%. The main component was β-(1→3)-glucan, and its molecular mass was about 1.093×10~5. Further, the content of alkali-soluble polysaccharides of Poria was measured by UV-Vis spectrophotometry and HPLC coupled with the evaporative light scattering detector(HPLC-ELSD), and 30 batches of samples were measured. The results indicated that the content of alkali-soluble polysaccharides determined by UV-Vis spectrophotometry was in the range of 73.70%-92.57%, and the content of samples from Hubei province was slightly higher than that from Yunnan province, Anhui province and Hunan province. The content of alkali-soluble polysaccharides determined by HPLC-ELSD was in the range of 51.42%-76.69%, and the samples from Hunan province had slightly higher content than that from the other three provinces. The content determined by UV-Vis spectrophotometry was higher than that by HPLC-ELSD. However, the content determined by HPLC-ELSD was close to that of alkali-soluble extract, which could accurately characterize the content of alkali-soluble polysaccharides in Poria, and the method was simple and repeatable. Therefore, it is recommended that the quantitative analysis method for alkali-soluble extract and alkali-soluble polysaccharides by HPLC-ELSD be used in the quality standards of Poria in Chinese Pharmacopeia.

Research Progress on the Chemical Constituents and Quality Evaluation Methods of Spina gleditsiae

In this paper, the relevant information on chemical constituents and quality evaluation of Spina gleditsiae were retrieved and summarized. Modern studies show that Spina gleditsiae mainly contains flavonoids, phenols, triterpenoids, coumarins, sterols, lactones, organic acids and other compounds. Then the quality evaluation methods of Spina gleditsiae were introduced. In the future research, it is necessary to explore the extraction and separation technology of its chemical constituents and active constituents, and establish appropriate models to promote its development and application. It provides a reference for the further establishment of scientific and reasonable studies on the effective components of Spina gleditsiae.

Image Quality Evaluation Method for Optical Remote Sensing Satellite Based on an Array of Point Sources

Image Quality Evaluation Method for Optical Remote Sensing Satellite Based on an Array of Point Sources

BEHAVIOURAL MEDICINE: A KEY TO THE MANAGEMENT OF NON-COMMUNICABLE DISEASES IN NIGERIA

Urbanisation and advances in health technology have led to a reduction in communicable diseases. However, poverty, population growth, and the globalisation of unhealthy diets have resulted in a global upsurge of non-communicable diseases (NCD) like cancers, cardiovascular diseases, nutritional and metabolic diseases, endocrine disorders and respiratory diseases. Healthcare for NCDs remains a significant public health challenge. The primary management in Nigeria is currently pharmacological. However, non-pharmacological measures that are cost-effective and safe, with minimal side effects, are available for the prevention (primary and secondary) and treatment of NCDs. The impact of behavioural medicine in Nigeria remains limited despite the potential to significantly reduce the burden of NCDs and improve health and clinical outcomes. This is mainly due to insufficient investment in behavioural medicine research, inferior quality evaluation methods, lack of implementation of research outcomes, and poor interdisciplinary collaboration. Based on insights from the literature, this article discusses the need for behavioural medicine interventions and examines their application, effectiveness, and potential impact on NCDs. It also recommends more consideration of behavioural medicine in preventing and managing NCDs in Nigeria.

Machine Learning Based Approach for Evaluating Agile Based Methods to Enhance Software Quality

Developing a quality software product is an essential need of the software industry. Software quality comprises of various factors. Therefore, it cannot be measured on the basis of a single variable. Several agile software development methods have evolved all around the world with the passage of time that contribute towards the development of new and improved software methods. The agile processes have started invading the software development industry to provide good quality software in minimal time. As the changes have occurred in the modern day evaluation metrics, the changes have been observed in the agile oriented quality evaluation methods as well. This paper presents a machine learning based approach for evaluating agile based methods for enhancing software quality. This advanced mechanism of processing the data attributes is inspired by SWARA and FDD. The validation and evaluation has been done using statistical and the quantitative parameters.

Plot Quality Aided Plot-to-Track Association in Dense Clutter for Compact High-Frequency Surface Wave Radar

Due to high false alarm rate and low positioning accuracy of compact high-frequency surface wave radar in moving vessel detection, false plot-to-track association often occurs during moving vessel tracking, thus leading to track fragmentation and false tracking. In order to address this problem, a plot quality evaluation method is proposed and applied to plot-to-track association. Firstly, the differences in spatial correlation of echo spectrum amplitudes and position among moving vessels, clutters, and noise on a range-Doppler map are analyzed, and a plot quality index integrating multi-directional gradient, local variance, and plot position probability is developed. Then, the plots labeled as low quality are removed to reduce both the negative impact of false alarms on plot-to-track association and the computational burden. Eventually, both plot quality index and kinematic parameters are used to calculate the association cost and determine the plot-track pairs during the plot-to-track association procedure. Experimental results with field data demonstrate that the proposed plot quality index can effectively distinguish moving vessel and other plots. Compared with both the nearest neighbor data association method and the joint probability data association method, the association accuracy of the proposed method is greatly improved and, thus, the tracking continuity is enhanced in dense clutter scenarios.

Investigation of damage characteristics of coral reef limestone under uniaxial compression based on pore structure

The variation of the biological source and diagenetic environment results in significant differences in pore structure and mechanical properties of coral reef limestone (CRL) with various structures. This study analyzed uniaxial compression behavior and pore structural characteristics of four types of CRL using the uniaxial compression test and computerized tomography (CT) scanning test. The influence mechanism of CRL's physical properties on its uniaxial compression characteristics was revealed from a microscopic perspective. The results suggested that the uniaxial compressive curves of different structural types of CRLs exhibited “single-peak” or “multi-peak” characteristics, in which Coral Framework Limestone (CFL) and Coral Boulder Limestone (CBL) mainly experienced brittle failure while Coral Gravel Limestone (CGL) and Coral Calcarenite Limestone (CCL) underwent ductile failure with the increase of porosity. Through a CT scanning test, the influence of pore structure on the damage mechanism of CRL was explored. According to the digital image analysis technique, the influence of CRL diagenesis on the pore fractal dimension was investigated from the perspective of geological genesis, and an empirical formula for estimating uniaxial compressive strength (UCS) of CRL was established based on the fractal dimension. Furthermore, a quality evaluation method for CRL suitable for practical engineering was proposed. The research results can provide a reference for the estimation of UCS and quality classification evaluation of CRL in the construction of island reefs.

Bupleurum scorzonerifolium: Systematic research through pharmacodynamics and serum pharmacochemistry on screening antidepressant Q-markers for quality control

Bupleurum scorzonerifolium (BS) is one of the sources of Bupleuri Radix, which was first recorded in Shennong's classic of materia medica. It has a medicinal history of 2000 years and is now widely used for the treatment of depression clinically. However, the material basis of antidepressant effects is unclear, and the quality evaluation method is lacking. The paper aims to investigate the antidepressant quality markers (Q-markers) of BS by electrospray ionization quadrupole time-of-flight tandem mass spectrometry (UPLC-ESI-Q-TOF-MS). Firstly, the rat depression model was established by using chronic unpredictable mild stress (CUMS) combined with the solitary confinement method to evaluate the pharmacodynamics of BS. After verification of the antidepressant effect of BS, UPLC-ESI-Q-TOF-MS was used to analyze BS and the blood components of BS. A total of 34 components were identified in BS, in which 8 components, including saikosaponin a (SSa), saikosaponin c (SSc), saikosaponin d (SSd), saikosaponin b1 (SSb1), saikosaponin b2 (SSb2), glycyrrhetinic acid, nootkatone and valerenic acid, were detected in serum. SSa, SSc, SSd, SSb1 and SSb2 were found as metabolites, and glycyrrhetinic acid, nootkatone and valerenic Acid were identified as the prototypes in the blood. The depression model of zebrafish was established with reserpine to verify the antidepressant effect of the potential eight active components. The results showed that all these components could markedly improve the depressive behavior of zebrafish, increase the content of 5-HT and reduce the cortisol content. Finally, according to the principles of effectiveness, accessibility and measurability for Q-markers, SSa, SSc, and SSd were confirmed as Q-markers of BS, and the contents of 3 Q-markers in 10 batches of BS from different origins were determined to be 0.0728–1.465%. In addition, the total contents of 3 Q-markers in BS produced in Lindian, Heilongjiang Province, were higher than those in other origins. This paper provided a reliable method for the quality evaluation of BS for depression treatment.

Label-free testing strategy to evaluate packed red blood cell quality before transfusion to leukemia patients

Patients worldwide require therapeutic transfusions of packed red blood cells (pRBCs), which is applied to the high-risk patients who need periodic transfusions due to leukemia, lymphoma, myeloma and other blood diseases or disorders. Contrary to the general hospital population where the transfusions are carried out mainly for healthy trauma patients, in case of high-risk patients the proper quality of pRBCs is crucial. This leads to an increased demand for efficient technology providing information on the pRBCs alterations deteriorating their quality. Here we present the design of an innovative, label-free, noninvasive, rapid Raman spectroscopy-based method for pRBCs quality evaluation, starting with the description of sample measurement and data analysis, through correlation of spectroscopic results with reference techniques' outcomes, and finishing with methodology verification and its application in clinical conditions. We have shown that Raman spectra collected from the pRBCs supernatant mixture with a proper chemometric analysis conducted for a minimum one ratio of integral intensities of the chosen Raman marker bands within the spectrum allow evaluation of the pRBC quality in a rapid, noninvasive, and free-label manner, without unsealing the pRBCs bag. Subsequently, spectroscopic data were compared with predefined reference values, either from pRBCs expiration or those defining the pRBCs quality, allowing to assess their utility for transfusion to patients with acute myeloid leukemia (AML) and lymphoblastic leukemia (ALL).

Determination of the quality of tea from different picking periods: An adaptive pooling attention mechanism coupled with an electronic nose

An efficient nondestructive testing method is important to inspect the quality of agricultural products. The material content of tea differs across different picking periods, leading to variation in the quality. Traditional methods for evaluating the quality of tea are relatively complex, in-efficient, and generally destructive. This prompted our work, which led to the development of nondestructive testing technology comprising an electronic nose (e-nose) combined with an effective data analysis method, to determine the quality of tea from different picking periods. First, the e-nose system was used to acquire information about the volatile components of tea from different picking periods. Second, an adaptive pooling attention mechanism (APAM) is proposed based on the data characteristics of the e-nose system. By adapting the attention to the essential information that affects the classification performance, the feature-learning ability of the gas information is enhanced. Finally, the proposed APAM was combined with a classic convolutional neural network (CNN) to identify the gas information of tea picked during different picking periods. The method was evaluated in comparison with other gas recognition methods to prove its effectiveness. The results show that APAM can effectively realize the adaptive attention to the deep gas information. The MobileNetV1 +APAM has accuracy of 97.62%, precision of 97.57%, recall of 97.71%, and F1-score of 97.64%, confirming the capability of the method to successfully distinguish among the gas information of tea gathered in different picking periods. In summary, integrating APAM with a classic CNN combined with e-nose technology offers an effective nondestructive testing method for agricultural production and tea quality evaluation.

Rapid determination of chemical components and antioxidant activity of the fruit of Crataegus pinnatifida Bunge by NIRS and chemometrics

ObjectiveTo establish a method for quality evaluation of the fruit of Crataegus pinnatifida Bunge, also known as Shanzha, by near-infrared spectroscopy combined with chemometrics. MethodSeventy-two batches of Shanzha samples were collected, and the content of total components (flavonoids, phenols and organic acids), monomer components (chlorogenic acid, hyperoside and isoquercitrin), as well as the antioxidant activity of 60% ethanol extract were determined by usual methods. Then, all measured values were correlated with the near infrared spectra of Shanzha, and the partial least squares regression models were established. As to improve the model performance, various methods for spectra pretreatment and wavelength selection were investigated. ResultsAfter optimization, the models obtained the coefficients of determination in both calibration and prediction >0.9, and the residual prediction deviations >3, indicating that the models had good prediction abilities. ConclusionThe present method can serve as an alternative to the methods for comprehensive and rapid quality evaluation of Shanzha.