Research on the prognostic value of adjusting intraperitoneal threedimensional quality evaluation mode in laparoscopic cholecystectomy patients

BACKGROUND Benign gallbladder diseases have become a high-prevalence condition not only in China but also worldwide.The main types of benign gallbladder diseases include gallbladder polyps,acute and chronic cholecystitis,and gallstones,with gallstones being the most common,accounting for over 70%of cases.Although the mortality rate of benign gallbladder diseases is low,they carry obvious potential risks.Studies have shown that an increased incidence of benign gallbladder diseases can increase the risk of cardiovascular diseases and gallbladder cancer,resulting in a substantial disease burden on patients and their families.AIM To assess the medical utility of the Configuration-Procedure-Consequence(CPC)three-dimensional quality evaluation model in modulating the prognosis of laparoscopic cholecystectomy patients.METHODS A total of 98 patients who underwent laparoscopic cholecystectomy in our hospital from February 2020 to January 2022 were selected as the subjects.According to the random number table method,they were divided into a study group and a control group,with 49 patients in each group.The control group received routine perioperative care,while the study group had the addition of the CPC three-dimensional quality evaluation.The postoperative recovery-related indicators(time to first flatus,time to oral intake,time to ambulation,hospital stay),stress indicators(cortisol and adrenaline levels),distinctions in anxiety and RESULTS The time to first flatus,time to oral intake,time to ambulation,and hospital stay of the study group patients were obviously lower than those of the control group patients,with statistical significance(P<0.05).On the 1st day after admission,there were no obvious distinctions in cortisol and adrenaline levels in blood samples,as well as in the Self-Rating Anxiety Scale(SAS)and Self-Rating Depression Scale(SDS)scores between the study group and the control group(P>0.05).However,on the 3rd day after surgery,the cortisol and adrenaline levels,as well as SAS and SDS scores of the study group patients,were obviously lower than those of the control group patients(P<0.05).The study group had 2 cases of incisional infection and 1 case of pulmonary infection,with a total incidence of complications of 6.12%(3/49),which was obviously lower than the 20.41%(10/49)in the control group(P<0.05).CONCLUSION Implementing the CPC three-dimensional quality evaluation model for patients undergoing laparoscopic cholecystectomy can help accelerate their perioperative recovery process,alleviate perioperative stress symptoms,mitigate anxiety,depression,and other adverse emotions,and to some extent,reduce the incidence of perioperative complications.

Multidimensional Quality Evaluation of Graduate Thesis:Based on the Probabilistic Linguistic MABAC Method

Graduate education is the main way to train high-level innovative talents,the basic layout to cope with the global talent competition,and the important cornerstone for implementing the innovation-driven development strategy and building an innovation-driven country.Therefore,graduate education is of great remarkably to the development of national education.As an important manifestation of graduate education,the quality of a graduate thesis should receive more attention.It is conducive to promoting the quality of graduates by supervising and examining the quality of the graduate thesis.For this purpose,this work is based on textmining,expert interviews,and questionnaire surveys to obtain the factors influencing the quality of a graduate thesis first.Then,through three rounds of expert consultation,a multidimensional evaluation indicator system for the graduate thesis quality is built.Furthermore,probabilistic linguistic termsets(PLTSs)are utilized to obtain the initial evaluation information and apply the stepwise weight assessment ratio analysis method to determine the weights of attributes.In the ensuing step,the novel multi-attribute border approximation area comparison based on the PLTS method is established.Finally,the proposed method is employed in a case study concerning the quality evaluation of a graduate thesis and the effectiveness of this approach is further illustrated.

Chromatographic fingerprinting and quantitative analysis for the quality evaluation of Xinkeshu tablet

A simple, sensitive and accurate method based on high performance liquid chromato- graphy （HPLC） with diode array detector （DAD） was developed and validated for systematic quality evaluation of one type of traditional Chinese medicine preparations named Xinkeshu （XKS） tablet. In this study, the chromatographic fingerprints of XKS tablet were developed first, 23 peaks were selected as the common peaks to evaluate the similarities among different batches of XKS samples, which were manufactured in a long time span of three years. Additionally, simultaneous quantification of six markers in XKS tablet, including Danshensu, Protocatechuic aldehyde, Puerarin, Daidzin, Salvianolic acid B and Daidzein, was performed. The validation results showed that the developed method was specific, accurate, precise and robust. The preliminary explanation on why a close similarity between fingerprints did not exactly mean similar contents of chemical components in samples was given. The contribution of each chromatographic peak to similarity was also evaluated. The developed method offers an efficient, reliable and practical approach for systematic quality evaluation of XKS tablet.

Objective Evaluation Method of Steering Comfort Based on Movement Quality Evaluation of Driver Steering Maneuver

The existing research of steering comfort mainly focuses on the subjective evaluation,aiming at designing and optimizing the steering system.In the development of steering system,especially the evaluation of steering comfort,the objective evaluation methods considered the kinematic characteristics of driver steering maneuver are not proposed,which means that the objective evaluation of steering cannot be conducted with the evaluation of kinematic characteristics of driver in steering maneuver.In order to propose the objective evaluation methods of steering comfort,the evaluation of steering movement quality of driver is developed on the basis of the study of the kinematic characteristics of steering maneuver.First,the steering motion trajectories of the driver in both comfortable and certain extreme uncomfortable operation conditions are detected using the Vicon motion capture system.The operation conditions are under the restrictions of the vertical height and horizontal distance between steering wheel center and the H-point of driver,and the steering resisting torque else.Next,the movement quality evaluation of driver steering maneuver is assessed using twelve kinds of evaluation indices based on the kinematic analyses of the steering motion trajectories to propose an objective evaluation method.Finally,an integrated discomfort index of steering maneuver is proposed on the basis of the regression analysis of subjective evaluation rating and the movement quality evaluation indices,including the Jerk,Discomfort and Joint Torque indices.The test results show that the proposed integrated discomfort index gives a good fitting with the subjective evaluation of discomfort,which means it can be used to evaluate or predict the discomfort level of steering maneuver.This paper proposes an objective evaluation method of steering comfort based on the movement quality evaluation of driver steering maneuver.

A novel quality evaluation method for magnolia bark using electronic nose and colorimeter data with multiple statistical algorithms

Background:Magnolia bark(Magnolia Officinalis REHD.&WILS.and Magnolia officinalis REHD.&WILS.VAR.biloba REHD.&WILS,Hou Po in Chinese),is widely applied in clinical prescriptions and Chinese patent medicines.Origin place is a crucial factor affecting the quality of Hou Po,and chemical composition is an important index for evaluating its quality,which is closely related to its clinical efficacy.This study aims to develop a novel method for rapidly,accurately and comprehensively identifying the origin places of Hou Po and predicting the contents of its important chemical components.Methods:High performance liquid chromatography was used to analyze the contents of magnolol and honokiol and ultra-performance liquid chromatography the contents of magnocurarine and magnoflorine.The cold soak method was used to determine the contents of water-soluble extracts.The E-nose and colorimeter were used to determine the odor and color characteristics,respectively,of the collected Hou Po samples.Results:Using several statistical algorithms,different discriminant models based on the E-nose and colorimeter data were established to distinguish the origin place of Hou-Po and predict the chemical components of honokiol,magnolol,magnocurarine,magnoflorine and water-soluble extracts.The results showed that the Random Forest classifier combined with the ten-fold cross-validation method provided the highest classification accuracy for origin place,accounting for 99.53%among these models.The correlation coefficients between predicted and experimental values of the five chemical components were all higher than 0.96.Conclusion:This study has indicated that the electronic nose and colorimeter are promising methods for evaluating the quality of Chinese herbal medicines both qualitatively and quantitatively.

Predicting gas-bearing distribution using DNN based on multi-component seismic data: Quality evaluation using structural and fracture factors

The tight-fractured gas reservoir of the Upper Triassic Xujiahe Formation in the Western Sichuan Depression has low porosity and permeability. This study presents a DNN-based method for identifying gas-bearing strata in tight sandstone. First, multi-component composite seismic attributes are obtained.The strong nonlinear relationships between multi-component composite attributes and gas-bearing reservoirs can be constrained through a DNN. Therefore, we identify and predict the gas-bearing strata using a DNN. Then, sample data are fed into the DNN for training and testing. After optimized network parameters are determined by the performance curves and empirical formulas, the best deep learning gas-bearing prediction model is determined. The composite seismic attributes can then be fed into the model to extrapolate the hydrocarbon-bearing characteristics from known drilling areas to the entire region for predicting the gas reservoir distribution. Finally, we assess the proposed method in terms of the structure and fracture characteristics and predict favorable exploration areas for identifying gas reservoirs.

Hybrid Micro-forming Processes and Quality Evaluation of Micro-double Gear

Micro-gear is an important actuating component used widely in the micro electro mechanical systems(MEMS) devices.The technologies of micro-forming and precision assembly are urgently developed to manufacture the micro-double gear with central shaft.In the paper,a novel hy-brid-forming process with two kinds of piercing method have been proposed to manufacture the micro-double gear using micro forming technology.The tests of hybrid forming process were carried out with two steps and the micro-double gear was successfully manufactured with good surface quality.The results also show that the hybrid micro-forming process with central piercing method can improve the defects of inclining shaft generated by double-ended piercing method.The quality evaluation of micro-double gear was conducted with surface roughness,micro-hardness and impact tests.The results show that the micro-double gear with good mechanical properties can meet the requirements of application for milli-machines.

Preliminary assessment of two non-destructive instrumental techniques for quality evaluation of Lobelia chinensis Lour.

Two non-destructive instrumental methods, infrared spectroscopy （IR） and X-ray diffraction （XRD）, were studied for qualiW evaluation of Lobelia chinensis Lour. （L chinensis）. We obtained the IR spectra and XRD patterns of L chinensis collected from different sources. The similarity of samples was analyzed by cal- culating the cosine coefficient. The cosine values were in the range of 0.83-0.90, indicating that the main components ofL chinensis samples are similar. Sample L1 and L6 showed a slightly lower similarity than that of L2, L3, L4, L5 detected by the two methods, which revealed that IR and XRD methods exhibited analogous detection ability for quality evaluation of L. chinensis. The two methods could be highly re- commended as simple and rapid detection means for quality evaluation of L. chinensis.

Quality Evaluation of Lake Water and Sediment Based on Multilevel Fuzzy Theory

[ Objective ] The study aimed to assess the pollution of water and sediment in Wuliangsuhai Lake based on multilevel fuzzy theory. [ Method] On the basis of measured and survey data, the quality of water and sediment in six representative sites of Wuliangsuhai Lake was evalu- ated by using multilevel fuzzy theory. [ Result] Water quality of Wuliangsuhai Lake was different in space, that is, the water quality closer to outfalls was poor, but the water quality became better from north to south with the direction of water flow. Sediment near the water exit was at Grade IV, while it was at GradeV in other sites. From the evaluation results of water and sediment, we could see that Wuliangsuhai Lake was suffering serious pollution, and eutrophication process was aggravating, so it is extremely urgent to control and restore Wuliangsuhai Lake. [Conclusion] The re- search could provide scientific references for controlling the pollution of Wuliangsuhai Lake.

Quality evaluation of Pinelliae Rhizoma using network pharmacology and multi-component quantitative analysis

Background:Pinelliae Rhizoma(Banxia)is a valuable traditional Chinese medicine,and its quality issues are related to the safety and effectiveness of the medicine.Several pharmacological experiments have shown that Pinelliae Rhizoma has anti-inflammatory activity,but the specific chemical components remain unclear.Methods:In the present study,network pharmacology was used to analyze the potential active ingredients and molecular mechanisms of Pinelliae Rhizoma’s anti-inflammatory activity.A new approach to simultaneously determine eight components using high performance liquid chromatography-photo-diode array was developed to evaluate the quality of Pinelliae Rhizoma and different processed Pinelliae Rhizoma products.Results:Twelve active ingredients were identified from Pinelliae Rhizoma,andβ-sitosterol may have a greater effect than the other active ingredients.Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses revealed the main pathways associated with Pinelliae Rhizoma’s mechanism for treating inflammation.Additionally,theβ-sitosterol content in different processed Pinelliae Rhizoma products decreased significantly,and the level of five nucleosides in Pinelliae Rhizoma was significantly higher than that of the processed Pinelliae Rhizoma products.The 6-gingerol content was detected in eight Pinelliae Rhizoma Praeparatum cum Zingibere et Alumine batches with different origins,and liquiritin and liquiritigenin levels were detected in eight batches of Pinelliae Rhizoma Praeparatum with different origins.Conclusion:Pinelliae Rhizoma quality was affected by different regions and different processing methods,and this research provides a reference for Pinelliae Rhizoma quality evaluation.

Using Grey Target Theory for Power Quality Evaluation Based on Power Quality Monitoring Data

Smart grid puts forward higher requirements for power quality.Power quality evaluation can provide a decision-making basis for quality improvement.Based on power quality monitoring data,a grey target method is proposed for power quality evaluation.The grey target is composed of power quality evaluation standard and power quality monitoring data to be evaluated.Combining with the characteristics of each power quality evaluation index,the target center of the whole grey target system is found.Then,the power quality monitoring data to be evaluated and the power quality standard mode are compared and analyzed to construct the power quality grey correlation difference information space.Finally,the target center coefficient and target degree of power quality are calculated to realize the comprehensive evaluation of power quality,and the evaluation grade of power quality monitoring data to be evaluated is obtained.Compared with the evaluation results of the existing literature,the effectiveness of the proposed method is verified,which shows that grey target theory is reasonable in the comprehensive evaluation of power quality.

A Software Quality Evaluation System: JT SQE

JT SQE system is a software quality and measurement system. Its design was based on the Chinese national standards of software product evaluation and quality characteristics. The JT SQE system consists of two parts. One is the model for software quality measurement, which is of hierarchical structure. The other is the process of requirements definition, measurement and rating. The system is a feasible model for software quality evaluation and measurement, and it has the advantage of a friendly user interface, simple operation, ease of revision and maintenance, and expansible measurements.

Crowdsourcing-Based Framework for Teaching Quality Evaluation and Feedback Using Linguistic 2-Tuple

Crowdsourcing is widely used in various fields to collect goods and services from large participants.Evaluating teaching quality by collecting feedback from experts or students after class is not only delayed but also not accurate.In this paper,we present a crowdsourcing-based framework to evaluate teaching quality in the classroom using a weighted average operator to aggregate information from students’questionnaires described by linguistic 2-tuple terms.Then we define crowd grade based on similarity degree to distinguish contribution from different students and minimize the abnormal students’impact on the evaluation.The crowd grade would be updated at the end of each feedback so it can guarantee the evaluation accurately.Moreover,a simulated case is shown to illustrate how to apply this framework to assess teaching quality in the classroom.Finally,we developed a prototype and carried out some experiments on a series of real questionnaires and two sets of modified data.The results show that teachers can locate the weak points of teaching and furthermore to identify the abnormal students to improve the teaching quality.Meanwhile,our approach provides a strong tolerance for the abnormal student to make the evaluation more accurate.

Research on Printing Quality Evaluation of Decorative Paper Based on AHPEWM Model

Printing quality evaluation is an important means to check whether prints are qualfied.However,the urrent printing quality evaluation system for gravure decorative paper is not perfect.In order to solve this problem,a method for evaluating quality of decorative paper based on analytical hierarchy process(AHP)and the entropy weight method(EWM)model is proposed in this paper.So as to verify the proposed model,decorative paper of different grades was selected as the experimental objects.Firstly,the data about five indices eflecting printing quality were measured.Secondly,the evaluation model was used to assign weights to the indices,and scores in each index were calculated according to scoring tables.Finally,the evalua tion scores were statistically analyzed.The results of data analysis showed that the 95% confidence intervals and coefficients of variation were small.The average error of the evaluation system was 0.2061.It indicates that the model can stably distinguish decorative paper of diferent grades,accuracy of which is high.The research in this paper can provide reference to the quality improvement of decorative paper and the printing quality evaluation of other paper.

Non-reference virtual view quality evaluation of MVD

The quality of virtual view based on multi-view video （MVD） plus depth format is often evaluated by PSNR or subjectively judged. However, due to synthesizing arbitrary view images, the virtual view images mostly have no reference images and are only assessed using non-reference. Virtual view images synthesized by depth estimation reference software （DERS） and view synthesis reference software （VSRS） often accompanied with blockiness and other distortions on the edge. In addition, matching level for the depth map and the corresponding texture maps of left and right views also affects the quality of the virtual view. This paper compares the edge similarity of the depth and the corresponding texture maps which generate the intermediate virtual view and combined with the virtual view＇s blockiness which causing blur to evaluate the quality of the virtual view. Experiment results show that the proposed method can reflect the quality of the virtual view better.

Quality Evaluation of Leontopodium franchetii Beauv. from Different Localities Based on Moisture,Ash and Extract Contents and Thin-layer Chromatography

[Objectives] The aim was to determine the moisture,ash and extract contents in Leontopodium franchetii Beauv. from different localities. [Methods] The contents of moisture,total ash,acid-insoluble ash and extract in L. franchetii from different localities were determined according to the methods described in Chinese Pharmacopoeia( 2015 Edition). [Results] In the 10 samples,the contents of moisture were all less than or equal to 15. 0%; the contents of total ash were all below 12. 0%; and the contents of acid-insoluble ash were all less than 3. 0%. The contents of water-soluble extract( by cold-soaked extraction method) in the samples were all below 12. 0% except those from Hongyuan Prairie of Sichuan Province and Xinglong Mountain in Lanzhou City,Gansu Province. [Conclusions]The contents of the four indicators measured in this experiment varied by small margins,indicating that the quality was relatively stable. This study provides theoretical data for the revision of the quality standards for L. franchetii.

Preparation and Quality Evaluation of Toltrazuril Nanoemulsion

To determine the prescription and preparation method of toltrazuril nanoemulsion, we selected liquid paraffin, ethyl acetate, soybean oil, IPM and oleic acid as the oil phases, while RH-40, EL-40, OP-10, Tween-80 and Span-80 were the surfactants, and alcohol, 1,2-ropanediol, ispropanl, glycerol and PEG-400 were the co-surfactants. The best prescription was acquired through pseudo-ternary phase diagrams. The result showed that ethyl acetate, Tween-80 and 1,2-propanediol could facilitate the formation of nanoemulsion. The optimum prescription was surfactant：co-surfactant：oil phase：water phase =2：1：2：5, with the solubilizer of 10%. This prescription can prepare stable toltrazuril nanoemulsion.

Applying PP Model Based on RAGA in Water Environment Quality Evaluation

Projection Pursuit (PP) model is a technique of falling high dimension. Real coding based on Accelerating Genetic Algorithm (RAGA) is a method of optimum. Through combining the PP model and RAGA, the paper applies the model in the water environment quality evaluation. The writer takes the water quality evaluated indexes of each sample as projection direction and turns high dimension data into low dimension projection value. Thus, the writer achieves on evaluating the grade of water samples and its optimum order. Based on this, the writer overcomes the jamming of weights calculated on fuzzy synthesize judge and gray system valuation. The paper can provide a new thought for water environment quality evaluation and other falling high dimension and optimum issue.

Universal Index Formula of Parameterized Combination Operator for Eco-environmental Quality Evaluation

[Objective] The aim was to evaluate the regional eco-environmental quality by using the universal index formula of parameterization combination operator based normalized index values.[Method] Through setting reference values and normalized transformation formulae for typical ecological environmental indexes appropriately,the difference among the standard normalized values would become very small after normalized transformation,and the ecological environmental indices expressed by normalized values can be equivalent to normalized indices.Under certain optimization conditions,shuffled frog leaping based on immune evolutionary particle swarm optimization algorithm was applied to optimize the parameters in parameterization combination operator formula,and the universal index formula suited to eco-environmental quality assessment was established finally.[Result] The universal index formula of parameterization combination operator,appropriate for any m(1≤m≤23) ecological environmental indices,was used to assess the eco-environmental quality of towns surrounding Headland Reservoir,and the results were in full accordance with those of unascertained measure method,that is,the eco-environmental quality of five towns around Headland Reservoir was the fourth grade.[Conclusion]The universal index formula of parameterization combination operator,suited to eco-environmental quality evaluation,is simple and intuitive in form,easy in computation and universal in application.

Quality Evaluation of Threshing and Redrying Process Based on Analytic Hierarchy Process

Improving the stability of the homogenization process to achieve the homogeneity of tobacco products is one of important targets for the redrying industry.According to the specification for threshing and redrying process,a total of 14 indicators in three categories that affect the quality of the threshing and redrying process were selected.Using analytic hierarchy process,combined with expert experiences,a judgment matrix was constructed to conduct consistency test.The weights of indices in production were obtained.This will help in evaluating the actual production quality,finding the weak links of process and adjusting the parameters of the corresponding links in a targeted manner,thereby improving the quality of production process.