A Preliminary Study on Consumer Sensory Evaluation and Acceptance of Pomelo Peel Jelly

Pomelo peel is a by-product from pomelo consumption, but it is also rich in a variety of nutrients and functional substances. In order to solve the environmental problems caused by the large amount of discarded pomelo peels every year, in this study, we recycled pomelo peels to make pomelo yellow peel jelly (PYPJ) and pomelo white peel jelly (PWPJ) according to their different characteristics in pomelo peels. And the consumer sensory evaluation (n = 50) was carried out to explore the consumers’ evaluation and acceptance for these two innovative products. The results showed that both jellies received high mean scores for all sensory attributes expect PYPJ’ taste, and the consumer acceptances of PYPJ and PWPJ were 62% and 92%, respectively. These results displayed that there is a need to further improve PYPJ, and PWPJ is a product recognized by consumers. .

Assessment of Dependent Performance Shaping Factors in SPAR-H Based on Pearson Correlation Coefficient

With the improvement of equipment reliability,human factors have become the most uncertain part in the system.The standardized Plant Analysis of Risk-Human Reliability Analysis(SPAR-H)method is a reliable method in the field of human reliability analysis(HRA)to evaluate human reliability and assess risk in large complex systems.However,the classical SPAR-H method does not consider the dependencies among performance shaping factors(PSFs),whichmay cause overestimation or underestimation of the risk of the actual situation.To address this issue,this paper proposes a new method to deal with the dependencies among PSFs in SPAR-H based on the Pearson correlation coefficient.First,the dependence between every two PSFs is measured by the Pearson correlation coefficient.Second,the weights of the PSFs are obtained by considering the total dependence degree.Finally,PSFs’multipliers are modified based on the weights of corresponding PSFs,and then used in the calculating of human error probability(HEP).A case study is used to illustrate the procedure and effectiveness of the proposed method.

An Improved CREAM Model Based on DS Evidence Theory and DEMATEL

Cognitive Reliability and Error Analysis Method(CREAM)is widely used in human reliability analysis(HRA).It defines nine common performance conditions(CPCs),which represent the factors thatmay affect human reliability and are used to modify the cognitive failure probability(CFP).However,the levels of CPCs are usually determined by domain experts,whichmay be subjective and uncertain.What’smore,the classicCREAMassumes that the CPCs are independent,which is unrealistic.Ignoring the dependence among CPCs will result in repeated calculations of the influence of the CPCs on CFP and lead to unreasonable reliability evaluation.To address the issue of uncertain information modeling and processing,this paper introduces evidence theory to evaluate the CPC levels in specific scenarios.To address the issue of dependence modeling,the Decision-Making Trial and Evaluation Laboratory(DEMATEL)method is used to process the dependence among CPCs and calculate the relative weights of each CPC,thus modifying the multiplier of the CPCs.The detailed process of the proposed method is illustrated in this paper and the CFP estimated by the proposed method is more reasonable.

Conversion of pure Chinese fir plantation to multi-layered mixed plantation enhances the soil aggregate stability by regulating microbial communities in subtropical China

Background:Soil aggregates are the basic units of soil structure,and their stability is a key indicator of soil quality and capacity to support ecosystem functions.The impacts of various environmental factors on soil aggregates have been widely studied.However,there remains elusive knowledge on the synergistic effects of changing forest stand structure on soil aggregate stability(SAS),particularly in subtropical China where soil erosion remains a critical issue.Methods:We investigated variations in the components of soil humus(HS),including humic acids(HAs),fulvic acids(FAs),and humins(HMs),under pure Chinese fir(Cunninghamia lanceolata)plantation(PP)and multilayered mixed plantation(MP)comprising C.lanceolata,Castanopsis hystrix,and Michelia hedyosperma.The state of soil aggregate stability,was determined by three separate methods,i.e.,dry-sieving,wet-sieving,and the Le Bissonnais.High-throughput sequencing was used to determine the diversity and composition of microbial communities under PP and MP.We then built partial least squares path models(PLS-PM)for assessing the responses of SAS to the variations in soil microorganisms and HS components.Results:The MP stands had significantly greater SAS(P<0.05),higher content of HAs and more rapid organic matter humification within aggregates,than the PP stands.High-throughput sequencing confirmed that the Pielou andα-diversity index values(Chao1 and Shannon)for fungi were all significantly higher under MP than under PP,while no marked difference was found in bacterialα-diversity between the two plantation types.Moreover,there were markedly greater abundance of three bacterial phyla(Verrucomicrobia,Chloroflexi,and Gemmatimonadetes)and three fungal phyla(Ascomycota,Kickxellomycota,and Glomeromycota),and significantly less abundance of two bacterial phyla(Planctomycetes and Firmicutes)and four fungal phyla(Basidiomycota,Mortierellomycota,Mucoromycota,and Rozellomycota)under MP than under PP.The Chloroflexi and Ascomycota phyla appeared to be the primary drivers of soil aggregate distribution.Our findings revealed that the promotion of SAS under MP was mainly driven by increased soil organic matter(SOM)content,which altered bacterial communities and enhanced fungal diversity,thereby increasing HAs content and the rate of organic matter humification.Conclusions:Considering the combined effects of enhanced soil quality,productivity,and relevant economic costs,introducing broadleaved tree species into Chinese fir plantations can be an effective strategy for stabilizing soil structure against erosion in subtropical China.Our study elucidated the controls on variations of SAS in Chinese fir-dominated plantations and demonstrated the benefit of converting pure Chinese fir plantation to multi-layered mixed plantations in increasing soil structural stability and improving site quality.

Failure Mode and Effects Analysis Based on Z-Numbers and the Graded Mean Integration Representation

Failuremode and effects analysis(FMEA)is a widely used safety assessmentmethod inmany fields.Z-number was previously applied in FMEA since it can take both possibility and reliability of information into consideration.However,the use of fuzzy weighted mean to integrate Z-valuations may have some drawbacks and is not suitable for some situations.In this paper,an improved method is proposed based on Z-numbers and the graded mean integration representation(GMIR)to deal with the uncertain information in FMEA.First,Z-numbers are constructed based on the evaluations of risk factors O,S,D for each failure mode by different experts.Second,weights of the three risk factors and experts are determined.Third,the integration representations of Z-numbers are obtained by a newmethod based on the GMIRmethod.Finally,risk priorities of the failure modes are derived considering the weights of experts and risk factors.Two examples and a case study are given to show the use of the proposed method and comparison with other methods.The results show that the proposed method is more reasonable,universal and simple in calculation.

SPM-IS: An auto-algorithm to acquire a mature soybean phenotype based on instance segmentation

Mature soybean phenotyping is an important process in soybean breeding;however, the manual process is time-consuming and labor-intensive. Therefore, a novel approach that is rapid, accurate and highly precise is required to obtain the phenotypic data of soybean stems, pods and seeds. In this research, we propose a mature soybean phenotype measurement algorithm called Soybean Phenotype Measure-instance Segmentation(SPM-IS). SPM-IS is based on a feature pyramid network, Principal Component Analysis(PCA) and instance segmentation. We also propose a new method that uses PCA to locate and measure the length and width of a target object via image instance segmentation. After 60,000 iterations, the maximum mean Average Precision(m AP) of the mask and box was able to reach 95.7%. The correlation coefficients R^(2) of the manual measurement and SPM-IS measurement of the pod length, pod width, stem length, complete main stem length, seed length and seed width were 0.9755, 0.9872, 0.9692, 0.9803,0.9656, and 0.9716, respectively. The correlation coefficients R^(2) of the manual counting and SPM-IS counting of pods, stems and seeds were 0.9733, 0.9872, and 0.9851, respectively. The above results show that SPM-IS is a robust measurement and counting algorithm that can reduce labor intensity, improve efficiency and speed up the soybean breeding process.

Qing Dai, a traditional Chinese medicine for the treatment of chronic hemorrhagic radiation proctitis

Objective： To evaluate the efficacy and safety of Qing Dai （indigo naturalis）, a traditional Chinese medicine, in the treatment for chronic hemorrhagic radiation proctitis. Methods： Ten patients with chronic hemorrhagic radiation proctitis between January 2005 to January 2008 were treated with Qing Dai. Qing Dai was administered orally at a dose of 1.5 g, bid for 5 consecutive days, every 2 weeks for two courses. Patients were followed up every 3 months. The clinical response and side-effects were evaluated. Results： Six patients showed improvement of rectal bleeding to grade 0-1 after 1 course of Qing Dai therapy. Four patients had reduced rectal bleeding to grade 0-1 after 2 courses of the therapy. The median follow-up time was 10 months （range： 6-24）. During the follow-up period, 1 patient experienced recurrent rectal bleeding and was managed with topical formalin dabbing, which controlled the symptom. No treatment toxicity was observed. Conclusion： Qing Dai may be a safe and effective treatment for chronic hemorrhagic radiation proctitis.

Handling Uncertainty in Human Cognitive Reliability Method for Safety Assessment Based on DSET

Human Reliability Analysis(HRA)is an important part in safety assessment of a large complex system.Human Cognitive Reliability(HCR)model is a method of evaluating the probability that operators fail to complete during diagnostic decision making within a limited time,which is widely used in HRA.In the application of this method,cognitive patterns of humans are required to be considered and classified,and this process often relies on the evaluation opinions of experts which is highly subjective and uncertain.How to effectively express and process this uncertain and subjective information plays a critical role in improving the accuracy and applicability of HCR.In this paper,a new model was proposed to deal with the uncertain information which exists in the processes of cognitive pattern classification in HCR.First,an evaluation panel was constructed based on expert opinions and processing including setting corresponding anchor points and qualitative indicators of different cognitive patterns,and mapping them to fuzzy numbers and unit intervals.Second,based on the evaluation panel,different analysts judge the cognitive pattern types of actual specific events and provide the level of confidence he or she has in the judgments.Finally,the evaluation opinions of multiple analysts were expressed and fused based on the Dempster-Shafer Evidence Theory(DSET),and the fused results were applied to the HCR model to obtain the Human Error Probability(HEP).A case study was used to demonstrate the procedure and effectiveness of the proposed method.

平台零工劳动者就业质量的前因组态研究:基于模糊集定性比较分析方法(fsQCA)

以往对就业质量的研究,主要针对大学生与农民工群体,较少针对平台零工劳动者。本研究以237名平台零工劳动者三阶段调查数据为样本,基于平台生态系统理论与工作特征模型,从平台零工劳动者、平台企业、顾客及零工工作灵活性共四个维度七个因素,构建平台零工劳动者就业质量前因模型,并采用模糊集定性比较分析(fsQCA)方法探讨平台零工劳动者就业质量的前因组态路径。研究结果显示:第一,工作灵活性是影响平台零工劳动者高就业质量的必要条件;第二,促进平台零工劳动者高就业质量的路径有4条,分别是零工-平台交互型、零工-顾客交互型、平台-顾客交互型及零工-平台-顾客三方交互型;第三,导致平台零工劳动者低就业质量的路径有3条,分别是资本兴趣缺失型、工作环境制约型、平台管控过度型。本文弥补了以往文献仅仅考虑单一变量影响的局限,系统提出平台零工劳动者高(或低)就业质量的多条前因组态因果路径,从而为提升平台零工劳动者的就业质量提供了新的思路。

大熊猫精液和包皮菌群组成及潜在致病菌调查

【目的】大熊猫是我国国家一级保护动物,其种群面临着传染病和栖息地破碎化等持续威胁,其中生殖系统的细菌感染和菌群失衡会影响大熊猫生殖健康,严重者可导致流产,是引起大熊猫繁殖障碍的原因之一。本研究对精液与包皮分泌物样本的菌群组成情况及分离培养潜在致病菌开展研究。【方法】通过采集13份大熊猫包皮分泌物和12份精液样本,采用16S rRNA扩增子测序技术、细菌培养及PCR鉴定的方法,确定样本中的细菌种类。【结果】菌群组成分析结果显示,在门水平上,厚壁菌门(Firmicutes)的细菌丰度在大熊猫包皮与精液中均为最高;在属水平上,不同时期的雄性大熊猫包皮的菌群可能会发生改变,棒状杆菌属(Corynebacterium)和Dolosicoccus是Ⅰ期包皮样本中最丰富的微生物菌群,相对丰度分别为15.45%和12.40%;链球菌属(Streptococcus)和埃希氏菌属(Escherichia)是Ⅱ期包皮样本中最丰富的微生物菌群,相对分度分别为37.94%和9.68%;拟杆菌属(Bacteroides)和普雷沃氏菌属(Prevotella)是精液样本中最丰富的微生物菌群,相对丰度分别为14.40%和12.88%。菌群多样性分析结果显示,精液样品高于Ⅰ期包皮样品和Ⅱ期包皮样品,Ⅰ期包皮样品和Ⅱ期包皮样品之间无显著差异。通过细菌分离培养得到肺炎克雷伯菌(Klebsiella pneumonia)在内的多种潜在性致病菌。【结论】本研究分析了大熊猫精液和不同时期包皮分泌物的菌群组成,其优势菌属存在差异,大熊猫包皮与精液中存在潜在性致病菌,这可能对大熊猫的生殖系统健康带来威胁,其致病性有待进一步研究。