Comprehensive physicochemical indicators analysis and quality evaluation model construction for the post-harvest ripening rapeseeds.

Rapeseed (Brassica napus L.) is the second largest globally cultivated oil crop, but the effects of post-harvested ripening on rapeseed quality is unclear and unpredictable. This study reveals the relationship between post-harvest ripening periods (PHR) and physicochemical quality of different rapeseed cultivars using comprehensive physicochemical indicators analysis. The results indicate that PHR led to a gradual decrease in chlorophyll, carotenoid and moisture content but continually increased oil and total phenol content (TPC). Besides, 295 lipid molecules from 13 lipid subclasses were identified, revealing that the relative content of triacylglycerol (TG) was progressively increased while diacylglycerol (DG) demonstrated a consistent decline throughout the PHR. Correlation analysis, hierarchical cluster analysis (HCA) and principal component analysis (PCA) were employed to construct and verify the comprehensive quality evaluation model for rapeseeds in PHR. This paper develops a comprehensive quality evaluation model for post-harvest ripening rapeseeds and advances the development of agricultural products.

Evaluation of mental load using EEG and eye movement characteristics.

Mental load is a major cause of human-induced accidents. In this study, an explosive impact sensitivity experiment was used to induce mental load. A combination of subjective questionnaires and objective prospective time-distance tests were used to judge whether subjects experienced mental load. Four indicators, namely, ß, γ, mean pupil diameter, and fixation time were selected by statistical analysis and PCA for the construction of a mental load assessment model. The study found that the occipital lobe was the most sensitive to mental load, especially ß and γ bands. Lastly, it was found that subjects showed different degrees of mental load for the same mental load induction task. The results of the study are applicable to the evaluation and monitoring of the mental characteristics of workers and provide a scientific basis for adjusting the mental load of workers over time to reduce the rate of accidents and enhance production efficiency.

Mental load is the main cause of human-induced accidents. This study used an explosive impact sensitivity experiment to induce mental load in subjects. We found that the mean pupil diameter and fixation time, as well as the beta and gamma bands in the occipital lobe were most sensitive to mental load.

A screening method based on analytic hierarchy process for closed-loop DBS strategies of Parkinson's disease.

BACKGROUND: Closed-loop deep brain stimulation (DBS) is a research hotspot in the treatment of Parkinson's disease. However, a variety of stimulation strategies will increase the selection time and cost in animal experiments and clinical studies. Moreover, the stimulation effect is little difference between similar strategies, so the selection process will be redundant. OBJECTIVE: The objective was to propose a comprehensive evaluation model based on analytic hierarchy process (AHP) to select the best one among similar strategies. METHODS: Two similar strategies, namely, threshold stimulation (CDBS) and threshold stimulus after EMD feature extraction (EDBS), were used for analysis and screening. The values of Similar to Unified Parkinson's Disease Rating Scale estimates (SUE), ß power and energy consumption were calculated and analysed. The stimulation threshold with the best improvement effect was selected. The weights of the indices were allocated by AHP. Finally, the weights and index values were combined, and the comprehensive scores of the two strategies were calculated using the evaluation model. RESULTS: The optimal stimulation threshold for CDBS was 52% and for EDBS was 62%. The weights of the indices were 0.45, 0.45 and 0.1, respectively. According to comprehensive scores, different from the situation where either EDBS or CDBS can be called optimal stimulation strategies. But under the same threshold stimulation, the EDBS was better than the CDBS under the optimal level. CONCLUSION: The evaluation model based on AHP under the optimal stimulation conditions satisfied the screening conditions between the two strategies.

Comprehensive evaluation of the effect of five sterilization methods on the quality of black carrot juice based on PCA, TOPSIS and GRA models.

The effect of thermal pasteurization (TP), high temperature long time (HTLT), ultra-high temperature instantaneous (UHT), high hydrostatic pressure (HHP) and thermosonication (TS) sterilization on the physicochemical, sensory and functional properties of black carrot juice (BCJ) were studied. And for the first time, the comprehensive quality of sterilized BCJ was quantified by mathematical modeling. UHT was the least suitable sterilization method for BCJ resulting from the most severe deterioration in functional properties. TS had adverse effects on sensory and physicochemical properties, but significantly increased the total flavonoids and anthocyanins contents (p < 0.05) and showed the strongest antioxidant activity, making it a nutritional high-value processing method. TP and HHP balanced the improvement of sensory properties and the retention of functional properties, which were the most suitable sterilization methods for BCJ. This study determined the optimal sterilization methods of BCJ, and provided a scientific solution for the screening of high quality processing methods.

Evaluation of carbon neutrality capacity based on a novel comprehensive model.

The Chinese government actively participates in global climate governance and has proposed to achieve the goal of carbon neutrality by 2060. Due to large differences in regional development, local governments need to comprehend their own carbon neutrality status and then scientifically plan a path to achieve carbon neutrality. In this study, we constructed a new carbon neutrality capacity evaluation indicator system named CNCIS, which can dynamically reflect the balance of energy, economy and environment in the process of reducing carbon emissions. In addition, to scientifically evaluate the carbon neutrality capacity, we proposed a novel comprehensive evaluation model, namely, the BWM-Entropy TOPSIS method, which can solve the unbalanced weighting and low efficiency problem in weighting indicators and improve the applicability of TOPSIS. Finally, based on real data from 30 provinces in China, we proved the effectiveness of our method and analyse the reasons for the different carbon neutrality capacities of the provinces. The main findings are as follows: (1) Clean and efficient utilization of energy had the greatest impact on achieving carbon neutrality, which is mainly represented by carbon emissions intensity, CO2 emissions per capita and coal consumption per capita. (2) In the energy, economy and environmental aspects, the factors that most affect carbon neutrality were carbon emissions intensity, the volume of technology marketing and water consumption per capita respectively. (3) Sorted by carbon neutrality capacities, the provinces could be divided into three categories, in which economically developed provinces more easily achieve carbon neutrality while resource-based provinces are the hardest. Based on these results, corresponding suggestions were proposed to help local governments scientifically plan a path to achieve carbon neutrality.

Comprehensive Evaluation of Health Status of Traditional Chinese Medicine Constitution based on Improved Radar Chart / 中医杂志

ObjectiveTo present the health status of traditional Chinese medicine （TCM） constitutions more intuitively and comprehensively based on improved radar chart. MethodsParticipants who completed a 26-week comprehensive intervention based on TCM constitution from February 2013 to January 2014 in Zhuhai branch of Guangdong Provincial Hospital of Chinese Medicine were included in the study. They were divided into groups according to gender and age， i.e. young， middle-aged， and elderly male and female groups. TCM constitution scale and health survey short form （SF-36） were used to evaluate the 9 basic TCM constitution types and quality of life at three time points， including pre-intervention （T1）， at 13-week intervention （T2）， and at 26-week intervention （T3）. The improved radar charts were drawn to visually present the comprehensive evaluation results on the health status of 9 TCM constitutions， and graphic features （area S value， perimeter L value） were extracted to construct a comprehensive health index for TCM constitutions （H value）. Spearman correlation analysis was used to analyze the correlation between H value and SF-36 total score. ResultsAmong the included 509 participants， there were 45 elderly male， 76 elderly female， 60 middle-aged male， 140 middle-aged female， 53 young male and 135 young female. The radar charts for comprehensive evaluation of TCM constitution health status showed that the total areas for all groups increased at T3 compared to T1， with the most significant increase in the young population. In the middle-aged population， the fan-shaped areas of certain constitutions decreased at T2 than T1. At T3， the radar chart shapes for females were more balanced than males in the same age group. By calculating the features of function graphs， it was found that the S， L， and H values for the elderly population were relatively higher than those for the middle-aged and young population with the same gender， and the young population increased by highest ratio. The values measured at T3 compared to T1 showed average increase of 26% for S value （11% for the middle-aged and 14% for the elderly）， 22% for L value （10% for the middle-aged and the elderly each）， and 22% for H value （10% for the middle-aged and 9% for the elderly）. The female had lower S and L values， as well as higher H value than the male of the same age group measured at T3. The correlation coefficient between the H value of all participants and the total SF-36 score was 0.662 （P＜0.01）. ConclusionThe comprehensive evaluation model for the health status of TCM constitution based on the improved radar chart constructed in this study can present the health status of TCM constitutions and intervention effectiveness more comprehensively and intuitively. It is suggested to regulate the constitution in pursuit of the dynamic balance of the constitution health status， as well as consider the parts from the whole， and put focus on the balance of nine TCM constitutions.

Effects of green manure planting mode on the quality of Korla fragrant pears (Pyrus sinkiangensis Yu).

In this study, a three-year experiment on the fragrant pear orchard was conducted to investigate the effects of different varieties of green manure on the Korla fragrant pear fruit quality, with a view to finding a suitable green manure planting mode for Korla fragrant pear orchard. Green manures were planted in spaces among rows of pear trees, and then smashed and pressed into the soil as fertilisers by the agricultural machinery equipment in their full bloom period. In the experiment, four planting modes of green manure had been set for comparison: SA: Leguminosae green manures alfalfa (Medicago sativa L.), SP: Poaceae green manures oats (Avena sativa L.), ST: Cruciferae green manures oilseed rape (Brassica napus L.), and S: orchard authigenic green manures (Chenopodium album L., Mulgedium tataricum (L) DC., and Phragmites australis (Cav.) Trin. ex Steud.). Apart from that, eleven fruit quality indicators were analyzed to evaluating the effects of different green manure planting mode on the quality of fragrant pear. According to analysis of variance (ANOVA) results, there were significant differences among four planting modes in terms of nine fruit quality indicators (P<0.05). In addition, the correlation analysis (CA) results revealed that there were different degrees of correlations among quality indicators. On this basis, repeated information among indicators was eliminated by principal component analysis (PCA), thus simplifying and recombining the three principal components. All in all, these three principal components reflect appearance traits, internal nutritive value and taste of fruits, respectively. Specifically, SA significantly improved the internal quality and nutritive value of fruits, SP improved the physical traits of fruits, and ST significantly improved the taste of fruits. Based on the PCA results, a comprehensive evaluation model of fruit quality was constructed. The are comprehensive fruit quality scores:SA>SP>ST>S.

Research and application of a new multilevel fuzzy comprehensive evaluation method for cold stress in dairy cows.

Effective and comprehensive evaluation of cold stress is critical for healthy dairy cow breeding in the winter. Previous studies on dairy cow cold stress have considered thermal environmental factors but not physiological factors or air quality. Therefore, this study aimed to propose a multilevel fuzzy comprehensive evaluation (FCE) method for cold stress in dairy cows based on the analytic hierarchy process (AHP) and a genetic algorithm (GA). First, the AHP was used to construct an evaluation index system for cold stress in dairy cows from 3 dimensions: thermal environment (temperature, relative humidity, wind speed, and illumination), physiological factors (respiratory rate, body surface temperature), and air quality [NH3, CO2, inhalable particulate matter (PM10)]. Second, the consistency test of the judgment matrix was transformed into a nonlinear constrained optimization problem and solved using the GA. Next, based on fuzzy set theory, the comment set and membership function were established to classify the degree of cold stress into 5 levels: none, mild, moderate, high, and extreme. Then, the degree of cold stress in cows was obtained using multilevel fuzzy comprehensive judgment. To investigate the effect of illumination indicators on cold stress in dairy cows, 24 prelactation cows from the south and north sides were selected for a 117-d comprehensive cold stress evaluation. The results showed that the mean mild cold stress durations were 605.3 h (25.22 d) and 725.5 h (30.23 d) and the moderate cold stress durations were 67.2 h (2.8 d) and 96 h (4.0 d) on the south and north sides, respectively. Simultaneously, generalized linear mixed model showed that there were significant correlations between the daily cold stress duration and milk yield, feeding time, lying time, and active steps in the cows on both sides. This method can reasonably indicate cow cold stress conditions and better guide cold protection practices in actual production.

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.

Comprehensive evaluation system for stability of multiple dams in a uranium tailings reservoir: based on the TOPSIS model and bow tie model.

The main purposes of this study are to analyse the evaluation of tailings dam stability under multiple factors and prevent accidents more effectively by proposing a composite risk analysis model. The evaluation model combining the TOPSIS model and bow tie model is presented in this paper. Firstly, a new formula was adopted to calculate the integrated weights based on the subjective and objective weights and the theory of the TOPSIS model was introduced. Secondly, taking a uranium tailings reservoir in south China as an example, the index values and constant weights of the 10 dams are determined according to eight aspects of accumulating dam crest elevation, dam slope, mechanical properties, seepage capacity, topographical conditions, flood control capacity, rainstorm resistance capacity and earthquake resistance capacity. Thirdly, the fitting degree between the stability and ideal solution of each dam is calculated by using the TOPSIS model. The stability fitting degree of the 10 dams is 76%, 93%, 82%, 90%, 66%, 79%, 85%, 96%, 32%, 89% in sequence. This result shows that among the 10 dams, the 9# dam ranks the lowest in stability. The actual results are in good consistency with those calculated by the TOPSIS model, which can provide a scientific and reliable new idea for the safety of other multi-index comprehensive evaluations. It is worth mentioning that it can still maintain high accuracy of dam stability evaluation under multiple indexes and multiple dams. Also, the comprehensive evaluation model proposed in this paper can more effectively reflect the subtle differences between similar evaluation objects. Fourthly, safety barriers from both the cause of the accident and the consequences was established by using the bow tie model to block the path of the accident, and to propose safety measures to make the evaluation system more complete.

Efficacy coefficient method assisted quadruple-activities 3D-QSAR pharmacophore model for application in environmentally friendly PAE molecular modification.

Phthalate acid esters (PAEs) are among the most widely used plasticizers in plastic products. They are easily diffused from plastic during use and seriously affect the environment and human health. Therefore, designing environmentally friendly PAE derivatives has important practical applications. In this paper, the environmentally friendly molecular modification of PAEs was carried out according to a comprehensive structural evaluation based on a three-dimensional quantitative structure-activity relationship (3D-QSAR) pharmacophore model of four activity modes. First, the efficacy coefficient method was used to process the mobility, toxicity, degradation and bioconcentration data of the PAEs to calculate comprehensive evaluation values. The PAE 3D-QSAR pharmacophore complex model was constructed based on the PAE four-activity comprehensive evaluation value (a comprehensive value representing the mobility, toxicity, degradation and bioconcentration of the PAEs), and a total of 4 PAE derivatives with reduced comprehensive evaluation values were obtained. Functional evaluation of the derivatives showed that the five PAEs with lower comprehensive evaluation values were stable in the environment, while the insulating properties of the derivative molecules were less affected. Following the four-activity pharmacophore model (Hypo 1) of the target molecules, dimethyl phthalate (DMP) and di-n-octyl phthalate (DNOP), comprehensive evaluation models and their mobility, toxicity, degradation and bioconcentration single-activity models, the substitution sites selected by the comprehensive evaluation model were demonstrated to be highly representative. By constructing a two-dimensional quantitative structure-activity relationship (2D-QSAR) model of the comprehensive evaluation values of the PAEs and the four single-effect 2D-QSAR models of their derivatives, the different effects of the five key parameters on the comprehensive evaluation values, toxicity, degradation, mobility and bioconcentration of molecules were analysed.

Comprehensive Evaluation System of Occupational Hazard Prevention and Control in Iron and Steel Enterprises Based on A Modified Delphi Technique.

The study designs a comprehensive evaluation system for the prevention and control of occupational hazards, calculates its weight coefficient, and provides a potential strategic and effective tool for the scientific evaluation of occupational hazards in the iron and steel enterprises. The system was established through induction and analysis of relevant literature, personal interview, theoretical analysis, Delphi expert consultation, and special group discussions. Using an improved analytical hierarchy process fuzzy comprehensive evaluation model and on the basis of the improved Delphi expert investigation, the weight of the operability comprehensive evaluation index system is constructed. A three-level index system is established on the basis of harmful factors of occupational activities, health status of employees, protection facilities of occupational hazards, occupational health management, and so on. The index system structure is 4-20-95, and the weight coefficients of the four dimensions are 0.2516, 0.2428, 0.2550, and 0.2506. The recovery rate of the questionnaire was 82.5%, 100.0%, and 100.0%. The effective rates were 75.0%, 100.0%, and 100.0%. Conversely, the expert authority coefficients of the four dimensions are 0.875, 0.769, 0.832 and 0.800. Results show that the consistency factors of the four dimensions are statistically significant. Cronbach's α coefficient, standardized Cronbach's α coefficient, and split-half reliability of the comprehensive evaluation index system are 0.959, 0.950, and 0.810, respectively. After factor analysis, four common factors were extracted on the basis of expert opinions, and the cumulative variance was 63.1%. The comprehensive evaluation system for the prevention and control of occupational hazards in the iron and steel enterprises proposed by the study is relatively complete and reasonable.

Application of fuzzy comprehensive evaluation model in configuration management of medical equipment / 中国医学装备

Objective: To explore the optimal configuration methods of medical equipment of hospital so as to increase the scientific, rationality, fairness and effectiveness of decisions for equipment configuration of hospital. Methods:The applications of ultrasound imaging equipment configuration of two departments were used as example. Through a series of steps, included establishing the hierarchical structure of model, constructing the judgment matrix, consistency check, determining the weight matrix, determining the evaluation set and fuzzy evaluation matrix, and calculating the evaluation vector quantity and so on, the fuzzy comprehensive evaluation model was performed and applied in the evaluation of equipment configuration. Results: After evaluation, for the ultrasound imaging equipment configuration of department 1, the ratio of experts who thought the introduction of this equipment was very good was 82.92%, and the ratio of experts who thought it was better was 12.36%, and the ratio of experts who though it was normal was 4.72%. While for department 2, the ration of experts who though it was normal or worst was more than 50%. Conclusion:The fuzzy comprehensive evaluation model is an effective method for verifying equipment configuration. It can provide effective and quantitative assessment results for decision makers of hospital and provide reference for optimal configuration of medical equipment of hospital.

[Exploration and research on comprehensive evaluation model of Chinese patent medicines supply in national essential drugs].

Chinese medicine prices often have sharp rise or fall, and even the impact of short-term price rise on the quality of feed can't be ignored.On the other hand, the production of traditional Chinese medicine is strictly subject to resource constraints, so much of the industrial production due to lack of or prohibited use of resources must bestopped. Based on 203 Chinese patent medicines in the National Essential Drugs (2012 Edition), the factors that influence the supply of essential drugs of traditional Chinese medicine were analyzed and seven indicators for the supply of essential medicines were designed in this paper. According to the Chinese herbal medicine resources survey and dynamic monitoring service system data, a multi-index comprehensive evaluation model based on radar chart analysis was proposed, providing a holistic and overall evaluation of the supply situation of essential drugs of traditional Chinese medicine. The evaluation results were concise, clear and intuitive. In this paper, Jiuwei Qianghuo Wan and Ganmao Qingre Keli were taken as the examples to prove that the proposed comprehensive evaluation method is concise, clear, intuitive, credible and practical.

Exploration and research on comprehensive evaluation model of Chinese patent medicines supply in national essential drugs / 中国中药杂志

Chinese medicine prices often have sharp rise or fall, and even the impact of short-term price rise on the quality of feed can't be ignored.On the other hand, the production of traditional Chinese medicine is strictly subject to resource constraints, so much of the industrial production due to lack of or prohibited use of resources must bestopped. Based on 203 Chinese patent medicines in the National Essential Drugs (2012 Edition), the factors that influence the supply of essential drugs of traditional Chinese medicine were analyzed and seven indicators for the supply of essential medicines were designed in this paper. According to the Chinese herbal medicine resources survey and dynamic monitoring service system data, a multi-index comprehensive evaluation model based on radar chart analysis was proposed, providing a holistic and overall evaluation of the supply situation of essential drugs of traditional Chinese medicine. The evaluation results were concise, clear and intuitive. In this paper, Jiuwei Qianghuo Wan and Ganmao Qingre Keli were taken as the examples to prove that the proposed comprehensive evaluation method is concise, clear, intuitive, credible and practical.