How Sense of Ritual in Tourism Impacts Tourists’Co-Creation of Tourism Experience Values:A Study Based on the Theory of Value Co-Creation

Establishing a sense of ritual within tourism consumption scenarios offers tourists the opportunity for interactive engagement.Drawing upon the value co-creation theory,this study constructed an influence mechanism model to examine tourists'active engagement in the process of co-creating tourism experience values.It employed Partial Least Squares Structural Equation Modeling(PLS-SEM)to empirically test the proposed hypotheses.The findings demonstrate that the model constructed in the present study exhibits robust reliability,validity,and explanatory power.The perception of the sense of ritual in tourism exerts a significant positive influence on tourists’co-creation of tourism experience values,thereby significantly enhancing both the communitas and flow experienced by tourists during their travels.Moreover,such communitas and flow can mediate the influence of the sense of ritual in tourism on tourists’co-creation of tourism experience values.This study contributes to advancing the current research on tourists’co-creation of tourism experience values and the sense of ritual in tourism,thereby providing theoretical foundations for cultivating a sense of ritual within tourism consumption scenarios.

Characterization of the key aroma compounds in four varieties of pomegranate juice by gas chromatography-mass spectrometry(GC-MS),gas chromatography-olfactometry(GC-O),odor activity value(OAV),aroma recombination,and omission tests

P omegranate(Punica granatum L.)has attracted considerable attention in world markets due to its valuable nutrients and highly appreciated sensory properties.The aroma profiles of 4 varieties of pomegranate juice,including Dahongtian(DP),Jingpitian(JP),Luyudan(LP),and Tianhonngdan(TP),were investigated via gas chromatography-mass spectrometry(GC-MS)and gas chromatography-olfactometry(GC-O)analyses.A total of 43 volatile compounds were identified by using GC-MS.Among these compounds,16 were considered as potential aroma-active compounds as detected by GC-O.These compounds belonged to the classes of terpinenes,alcohols,and aldehydes.Eleven volatile compounds were defined as the main contributors to the overall aroma of pomegranate juice due to their high odor activity values(OAVs≥1).Aroma recombination and omission tests confirmed thatβ-myrcene,1-hexanol,and(Z)-3-hexen-1-ol were the key aroma compounds,and limonene,1-octen-3-ol,linalool,and hexanal were important aroma-active compounds in DP samples.

Research on the Marketing Mechanism of E-commerce Live Broadcast - Based on The Perspective of Brand Value Co-Creation

Today,the e-commerce live broadcast industry has formed a huge market,and it has become one of the important ways for most netizens to purchase goods.Live streaming has brought new opportunities for e-commerce and new growth for brand value.The interaction between brands and customers has gradually expanded,in this case,the importance of value co-creation has become more and more prominent.This article will take e-commerce live broadcast marketing as the research object,and the brand value co-creation as the research perspective,then provide a direction based on the value co-creation perspective for the healthy and long-term development of e-commerce live broadcast marketing by studying and analyzing the cases of brand value co-creation.

Managing Value-Based Activity Flexibility on Integrated ERP

On the background of integrated ERP development, activity-value-flexibility management (AVFM) is defined. By using economic-value-added (EVA) and corporate value creation as the objective of AVFM, custom value deviating rate, capital cost deviating rate, cash-flow-out per purchase deviating rate and cash-flow-in per sell deviating rate are developed to be the key responding variates for AVFM, and they also decide the rational quantity range for AVFM tactics. Method for rational AVFM tactics solution could be got by means of redesigning activity information process on integrated ERP.

Use of Support Vector Regression Based on Mean Impact Value Model to Identify Active Compounds in a Combination of Curcuma longa L.and Glycyrrhiza extracts

A support vector regression based on the mean impact value (MIV) model was constructed to identify the bioactive compounds inhibiting proliferation of He La cells in a combination of turmeric (Curcuma longa L.)and liquorice (Glycyrrhiza) extracts.The quantitative chemical fingerprint from 50 batches of turmeric and liquorice extracts was established using high performance liquid chromatography hyphenated to an ultraviolet visible detector.Qualitative results were obtained using ultra performance liquid chromatography coupled with electrospray ionization quadrupole time-of-flight tandem mass spectrometry.A total of 46 peaks (peaks 1–15 from turmeric and 16–46 from liquorice) were selected as "common peaks" for analysis.The inhibitory effect of the combined extracts on He La cells was measured by MTT (3- (4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) assay.It was found that 15 compounds (peaks:8,12,30,24,46,11,14,9,3,1,44,18,7,45 and 43)possessing high absolute MIV exhibited a significant correlation with the cytotoxicity against He La cells; most of these have already been confirmed with potential cytotoxicity in previous research.The important potential application of the present model can be extended to help discover active compounds from complex herbal medicine prior to traditional bioassay-guided separation.It is considered that this could be a useful tool for redeveloping herbal medicine based on the use of these active compounds.

Effect of Cu and Ni on Growth, Mineral Uptake,Photosynthesis and Enzyme Activities of Chlorella vulgaris at Different pH Values

A pH dependent reduction in growth, Pigment, ATP content, O,' evolution, carbonfixation, Photosynthetic electron transport system, nutrient uptake (NO,' and NH4+),nitrate reductase, and ATPase activities and increase in K+ emux of Chlorella vulgaris wasnoticed following supplementation of Cu and Ni to the culture medium. PS II was foundto be more sensitive to both pH and metals than PS I. Though, nitrate reductase (NR) wasmore sensitive to both PH and metals, the ATPase was however, more sensitive t0 metalsbut less sensitive to acidic pH. Acid PH was found to dst the nutrient (NO,' and NH4+)uptake and nitrate reductase in a non-competitive manner. The inhibition Pnduced by thetest metals alone was of noncompetitive type for NO3' uptake, nitrate reductase andATPase and competitive for NH'+ uptake. Acidity not only inhibited the metabolicvariables directly but also through facilitated uptake of metals and increased membranepermeability. A very low sensitivity of ATPase to acidic pH seems to be resgnsible forthe survival of algae in acid environment.

THE BACKGROUND VALUES OF RARE EARTH AND RADIOACTIVE ELEMENTS IN WATER SYSTEM OF SOURCE AREA OF THE CHANG JIANG RIVER

Using neutron activation analysis method we determined contents of rare-earth and radioactive elements (La, Ce, Nd, Sm, Eu, Tb, Yb, Lu, Cs, Rb, Sb, Sc, Sr, Ba, U, Th) in source water system of the Changjiang (Yangtze) River, which is mainly composed of the Tuotuo River, the Chumaer River, and the Buqu River. The contents of these elements in the unflltered water have a great variation and a close correlation with the water turbidity. The contents of these elements in filtered water only have a little variation and are lower than those in the unflltered water. The variations in contents of these elements in sediments are also very little. These elements in the unifiltered water are in geometric distribution, except Sc. Most of the elements in sediments are in arithmetic distribution, but Cs, Sb, Th, are in deviation distribution. The contents of most of these elements in the river source area correspond to the contents of fresh water of the earth. Most of these elements have a little variation in their

Multi-Valued Neuron with Sigmoid Activation Function for Pattern Classification

Multi-Valued Neuron (MVN) was proposed for pattern classification. It operates with complex-valued inputs, outputs, and weights, and its learning algorithm is based on error-correcting rule. The activation function of MVN is not differentiable. Therefore, we can not apply backpropagation when constructing multilayer structures. In this paper, we propose a new neuron model, MVN-sig, to simulate the mechanism of MVN with differentiable activation function. We expect MVN-sig to achieve higher performance than MVN. We run several classification benchmark datasets to compare the performance of MVN-sig with that of MVN. The experimental results show a good potential to develop a multilayer networks based on MVN-sig.

Application of Activity Based Costing in Customer Evaluation and Management

As plant develops, many industries＇ automatic level is very high leading to the increasing of indirect cost. Traditional costing methods, which use single standard of distributing indirect cost, cannot calculate cus- tomer cost accurately and satisfy managers any more. This paper is aimed on solving the aforesaid problem. In this paper we propose the thought of evaluating customer cost by using activity based costing（ABC） and the tra- ditional model of customer lifetime value（CLV） to improve the CLV model, then analyze the difference of using both models through an empirical study. As a result, ABC can account customer cost more accurately so that the CLV can help managers evaluate customer more effectively.

Detection value of Th17 related indexes and platelet activation indexes in patients with liver cancer

Objective:To study the detection value of Th17 related indexes and platelet activation indexes in the patients with liver cancer.Methods: A total of 59 patients with liver cancer in our hospital from July 2015 to June 2016 were selected as the observation group, 59 healthy persons of the same ages with physical examination were selected as the control group, then the serum Th17 related indexes and platelet activation indexes levels of two groups were detected and compared, then the serum Th17 related indexes and platelet activation indexes levels of observation group with different stages and types of liver cancer were compared too. Results:The serum Th17 related indexes and platelet activation indexes levels of observation group were all higher than those of control group, the serum Th17 related indexes and platelet activation indexes levels of observation group with different stages and types of liver cancer had obvious differences (allP<0.05).Conclusions: The Th17 related indexes and platelet activation indexes of patients with liver cancer show higher expression state, and the expression levels of patients with different stages and types of liver cancer have obvious differences too, so the clinical detection value of those indexes in the patients with liver cancer are higher.

Resonant Activation Induced by Four-Value Noise

在有四值的噪音的一个波动的潜在的障碍上的一个粒子的反响的激活(RA ) 的现象被调查。这被显示出第一经过时间(MFPT ) 显示的平均数转变的功能分别地评估 γ 1,γ 2,γ 3,γ 4,γ 5 和四值的噪音的 γ 6 的六最小。另外，系统的另外的参数的效果，例如添加剂的噪音力量 D， Gaussian 白噪音和参数珍视一，四值的噪音的 b， c，和 d，在地岬上也被调查。

Multistability of delayed complex-valued recurrent neural networks with discontinuous real-imaginarytype activation functions

In this paper, the multistability issue is discussed for delayed complex-valued recurrent neural networks with discontinuous real-imaginary-type activation functions. Based on a fixed theorem and stability definition, sufficient criteria are established for the existence and stability of multiple equilibria of complex-valued recurrent neural networks. The number of stable equilibria is larger than that of real-valued recurrent neural networks, which can be used to achieve high-capacity associative memories. One numerical example is provided to show the effectiveness and superiority of the presented results.

Representative value of cross-fault in the northeastern margin of the Qinghai-Tibet block and case analysis of the 2016 Menyuan Ms6.4 earthquake

The equation for determining cross-fault representative value is calculated based on hanging wall and foot wall reference level surfaces. The cross-fault data reliability are analyzed base on the stability of reference datum and observation points, thereby facili- tating plotting of the representative value curves after removing interference. The spatial and temporal characteristics of fault deformation abnormalities before the 2016 Menyuan Ms6.4 earthquake, as well as the fault-movement characteristics reflected by representa- tive value, are summarized. The results show that many site trends had changed 1-3 years before the Menyuan Ms6.4 earthquake in the Qilian Fault, reflecting certain background abnormalities. The short-term abnormalities centrally had appeared in the 6 months to 1 year period before the earthquake near and in the neighborhood of the source region, demonstrating a significantly increased number of short-term abnormalities. Many sites near and in the neighborhood of the source region had strengthened inverse activities or had changed from positive to inverse activities in the most recent 2-3 years, which reflect stress-field enhancements or adjustment features.

Value Composition and Optimal Utilization of Religious Cultural Landscape Resources

Multiple value structure of religious cultural landscape resources influences and determines development and regulation of cultural landscape resources. In the multiple value structure consisting of cultural inheritance, spiritual needs, industrial expansion, leisure and entertainment, development and utilization of religious cultural landscape resources should adhere to scientific classification, relatively independent policy orientation, make and implement specific countermeasures, so as to meet various requirements of the public and other relevant subjects using more refined and improved policy measures, and to realize the optimal utilization and comprehensive value of religious cultural landscapes.

Professional values in nursing students in Jordan:baccalaureate nursing students’perception

Objective:Baccalaureate degree curricula consist of several professional values required for nursing students,which are taught in many ways.This study aimed to explore the perception of baccalaureate Jordanian nursing students regarding professional values and to assess the relationship between students’demographics and their perception of professional values.Methods:The study design was a descriptive,cross-sectional correlational design.A convenience sample of 182 Jordanian undergraduate nursing students enrolled at one of the most prominent universities in Jordan who completed and submitted a self-administered Nurses’Professional Values Scale(NPVS)was considered for this study.Results:The NPVS total score ranged from 37 to 130,with a relatively high total score mean(99.68 with a mean of 3.83 out of 5).The highest score domain in NPVS was“Justice”with a mean of 3.97,while the lowest ranked domain was“Activism”with a mean of 3.69.The correlation coefficient showed no statistically significant correlation between age nor accumulative students’average with a total score of Nurses Professional Values Scale-revised(NPVS-R)and its subdomains.The t test results showed that gender and type of students’enrollment(regular vs.upgrading)did not affect the means of NPVS-R and its subdomains.But differences were found to be statistically significant between the means of first year students and fourth year students in the total score of NPVS-R.Conclusions:Findings of the study alert nursing educators to pay more attention to the importance of promoting the values related to“activism”and“professionalism”among nursing students.Suggestions for enhancing the roles of peer supervision and providing peer review to colleagues would contribute to improving nursing students’performance and raising self-awareness because when nursing educators pay more attention to the items of these domains,better future nursing professionals,leaders,and researchers can be gained.Also,understanding nursing students’perceptions of the importance of professional values and the difficulties in its application would be vital to enlighten educators about the areas that need improvement.

ASP-Based Programs of Best Linear Unbiased Prediction-Estimated Breeding Values in Breeding Stock

In order to improve the breeding effect of livestock, the data were read from an Excel file with Active Server Page （ASP） programs, and the breeding values of breeding stock were calculated by best linear unbiased prediction （BLUP） method.

The Reference Value for Biomonitoring in Chemicals Risk Area in Thailand

The workers’biological standard value(WBSV)is generally used to assess chemicals health risks in community.It may cause the deviate biomonitoring.Therefore,this study was aimed to set the pilot reference value for exposed people to chemicals.The study was divided into three phases:the two phases for field-study method and one phase for stakeholder’s adoption.Phase I was proceeded in one industrial zone in Thailand during the years 2012-2014 to collect blood and urine samples of 402 working-age people in community accompanied with in-depth interview.The 4 heavy metals(arsenic,cadmium,lead,mercury)in blood and urine were analyzed by atomic absorption spectroscopy(AAS)analysis and inductively coupled plasma mass spectrometry(ICP-MS).The metabolites of 4 volatile organic compounds(VOCs,benzene,toluene,styrene,xylenes)in urine were analyzed by high performance liquid chromatography(HPLC)analysis.The 8 chemicals concentrations of the volunteers’average chemicals concentration(VACC)were calculated.Phase II was proceeded during the years 2015-2016 to compare risk group identification between usage of VACC and usage of WBSV.The results were presented in mean value,standard deviation,percentage,and significant.The results showed approximately 90 percent of VACCs were lower than WBSV.The exceptional result was volunteers’average urinary arsenic concentration.It was clearly higher than WBSV.The comparative results showed the adjusted amount of risk people by VACC was higher than the adjusted amount risk people by WBSV.Phase III was proceeded in the year 2017 for stakeholder’s adoption.This study indicated that general people’s average chemicals concentration should be used as the reference value for biomonitoring and active health surveillance.

Research on the Characteristics of Large Earthquake Activity on the Active Tectonic Boundaries on the Chinese Mainland

Based on the research and the division of the active tectonic blocks and their boundaries on the Chinese mainland, the feature of the large earthquake activities on the 24 boundaries between the 6 active tectonic block regions (grade Ⅰ) and the 22 active tectonic blocks (grade Ⅱ) are studied. The seismicity levels on the active tectonic block boundaries are discussed considering the large earthquake frequency and the released strain energy in unit distance and time. The theoretic maximal magnitude and the recurrence period of each boundary are then calculated from the G-R relation. By comparing this with the actual earthquake records, it is found that the intensities of the earthquake deduced from the seismic activity parameter (a/b) on the main active boundaries on the Chinese mainland are consistent with that of the natural earthquakes. Meanwhile, an inverse relation is found between the recurrence periods of large earthquakes and the tectonic motion rate on the boundaries. These results show that the a, b values of each boundary obtained in this paper are valuable. In addition, the present seismic activities and hazards of these boundaries are also probed into with the historical data and their elapsed time on each boundary based on the hypothesis that the large earthquakes satisfy Poisson distribution.

Synthesization of high-capacity auto-associative memories using complex-valued neural networks

In this paper, a novel design procedure is proposed for synthesizing high-capacity auto-associative memories based on complex-valued neural networks with real-imaginary-type activation functions and constant delays. Stability criteria dependent on external inputs of neural networks are derived. The designed networks can retrieve the stored patterns by external inputs rather than initial conditions. The derivation can memorize the desired patterns with lower-dimensional neural networks than real-valued neural networks, and eliminate spurious equilibria of complex-valued neural networks. One numerical example is provided to show the effectiveness and superiority of the presented results.