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.

On Willa Cather's Sense of Values and Philosophy of Life——After Reading The Sculptors' Funeral

What is success? How is success measured? Willa Cather provides us two sets of values.To some people, success is measured in terms of money. To some success means choosing one’s own life and realizing one’s own values. In the novel The Sculptor’s Funeral Cather portrays an artist, who breaks the bondage of the old environment, and becomes a successful sculptor. However, he is regarded as a failure by his local people because the values by which they judge success are not the same.

Detecting Vegetation Fractional Coverage of Typical Steppe in Northern China Based on Multi-scale Remotely Sensed Data

One of the study objectives of global change is land use/cover change (LUCC) by using multiscale remotely sensed data on global and regional scale. In this paper, field sample, digital camera, Landsat-ETM+ (ETM+, Enhanced Thematic Mapper) image and the National Oceanic and Atmospheric Administration/the advanced very high resolution radiometer (NOAA/AVHRR) image were integrated to detect, simulate and analyze the vegetation fractional coverage of typical steppe in northern China. The results show: (1) Vegetation fractional coverage measured by digital camera is more precise than results measured by other methods. It can be used to validate other measuring results. (2) Vegetation fractional coverage measured by 1 m 2 field sample change fluctuantly for different observers and for different sample areas. In this experiment, the coverage is generally high compared with the result measured by digital camera, and the average absolute error is 9.92%, but two groups measure results, correlation coefficient r(2) = 0.89. (3) Three kinds of methods using remotely sensed data were adopted to simulate the vegetation fractional coverage. Average absolute errors of the vegetation fractional coverage, measured by ETM+ and NOAA, are respectively 7.03% and 7.83% compared with the result measured by digital camera. When NOAA pixel was decomposed by ETM+ pixels after geometrical registry, the average absolute errors measured by this method is 5.68% compared with the digital camera result. Correction coefficients of three results with digital camera result r(2) are respectively 0.78, 0.61 and 0.76. (4) The result of statistic model established by NOAA-NDVI (NDVI, Normalized Difference Vegetation Index) and the vegetation fractional coverage measured by digital camera show lower precision (r(2) = 0.65) than the result of statistic model established by ETM+-NDVI and digital camera coverage then converted to NOAA image (r(2) = 0.80). Pixel decomposability method improves the precision of measuring the vegetation fractional coverage on a large scale. This is a significant practice on scaling by using remotely sensed data. Integrated application of multi-scale remotely sensed data in earth observation will be an important approach to promoting measuring precision of ecological parameters.

Beauty in Sense, Sound and Form in Poetry Translation —— Translation of Tang Poems From Chinese to English

本文对诗歌翻译的三要素 :意美、声美、形美作一简要的介绍和分析。其中主要以唐诗的翻译为例 ,说明翻译是一种再创作的过程。

The Double Manipulations of Mass Media on Psychological World and Sense Instinct of People

Don DeLillo is one of the post-modernist novelists with most important position in America.His work White Noise is the most classic art of post-modernist literature in America,which hit great commercial successes and deserved universal atten tion in the field of criticism immediately after its publication.This paper is trying to analyze the functions of mass media in White Noise,discuss the double dominations of mass media on psychological world and sense instinct through analyze the effects of mass media on psychology,action and values of modern people,and then pay attention to the role of mass media in post-modernist so ciety.Then all of these may provide some implications to work and life of modern people who depend on mass media overly.

Female Identities in Translated Literature and the Development of Native Sense

In the formation of native sense,many factors play important roles,such as native culture,literature,and social circumstances and so on.This thesis focuses on the construction of female identities and their importance in the formation of native sense.Due to their different cultural backgrounds and cultural identities,the constructions of female identities in translated literature are different,which own unique features.

Associations of sense of coherence with psychological distress and quality of life in inflammatory bowel disease

AIM:To investigate the relationship between sense of coherence,psychological distress and health related quality of life in inflammatory bowel disease(IBD).METHODS:This cross-sectional study enrolled a consecutive sample of 147 IBD(aged 45.1 ± 14.1 years; 57.1% female) patients recruited from a tertiary gastroenterology service.Sixty-four participants met diagnostic criteria for Crohn's disease,while eightythree patients had ulcerative colitis.Socio-demographic data(education,age,race,gender,gross monthly income and marital status),disease-related variables(illness activity,relapse rate in past 2 years,history of surgery and time since diagnosis),sense of coherence(Antonovsky's SOC scale),psychological distress symptoms(Hospital Anxiety and Depression Scale) and health-related quality of life(HRQo L; WHOQOLBref) were assessed.Hierarchical multiple regression analyses were performed to identify factors that are independently associated with psychological distress and HRQo L in patients with IBD and to provide indications for possible moderating or mediating effects.In addition,formal moderation and mediation analyses(Sobel tests) were performed to confirm potential moderators/mediators of the relationship between SOC,psychological distress symptoms and HRQoL.RESULTS:Lower SOC scores(std beta=-0.504; P < 0.001),female gender(std beta = 0.176; P = 0.021) and White race(std beta = 0.164; P = 0.033) were independently associated with higher levels of depressive symptoms,while lower levels of SOC(std beta =-0.438; P < 0.001) and higher relapse rate(std beta = 0.161; P = 0.033) were independently associated with more severe anxiety symptoms.A significant interaction between time since diagnosis and SOC was found with regard to the severity of depressive or anxiety symptoms,as the interaction term(time since diagnosis X SOC) had beta coefficients of-0.191(P = 0.009) and-0.172(P = 0.026),respectively.Lower levels of anxiety symptoms(std beta =-0.369; P < 0.001),higher levels of SOC(std beta = 0.231; P = 0.016) and non-White race(std beta =-0.229; P = 0.006),i.e.,mixed-race,which represented the reference category,were independently associated with higher levels of overall HRQoL.Anxiety symptoms were the most potent independent correlate of most aspects of HRQoL.In addition,anxiety mediated the association between SOC and satisfaction with health,as well as its relationship with physical,mental,and social relations HRQo L.Depressive symptoms also mediated the association between SOC and mental HRQoL.CONCLUSION:Our data indicated that SOC is an important construct,as it influences psychological distress and has significant albeit indirect effects on several HRQoL domains in IBD.

Monitoring Land Use Dynamics in Chanthaburi Province of Thailand Using Digital Remotely Sensed Images

A comprehensive method of image classification was developed for monitoring land use dynamics in Chanthaburi Province of Tailand. RS (Remote Sensing), GIS (Geographical Information System), GPS (Global Positioning System) and ancillary data were combined by the method which adopts the main idea of classifying images by steps from decision tree method and the hybridized supervised and unsupervised classification. An integration of automatic image interpretation, ancillary materials and expert knowledge was realized. Two subscenes of Landsat 5 Thematic Mapper (TM) images of bands 3, 4 and 5 obtained on December 15, 1992, and January 17, 1999, were used for image processing and spatial data analysis in the study. The overall accuracy of the results of classification reached 90%, which was verified by field check.Results showed that shrimp farm land, urban and traffic land, barren land, bush and agricultural developing area increased in area, mangrove, paddy field, swamp and marsh land, orchard and plantation, and tropical grass land decreased, and the forest land kept almost stable. Ecological analysis on the land use changes showed that more attentions should be paid on the effect of land development on ecological environment in the future land planning and management.

Effects of supervised movie appreciation on the improvement of college students’ life meaning sense

The purpose of this study was to explore the effects of supervised movie appreciation on improving the life meaning sense among college students. The intervention combined by “pre-video, post counseling” was conducted on the experimental group, while the control group received no intervention. Results have shown that the scores on the subscales of will to meaning, life purpose, life control, suffer acceptance and on the total scale have improved significantly. No gender difference was found on the intervention effect, and participants receiving intervention maintained higher level on related subscales a week later, indicating that supervised movie appreciation is an effective way to improve the life meaning sense among college students.

Review of Remotely Sensed Imagery Classification Patterns Based on Object-oriented Image Analysis

With the wide use of high-resolution remotely sensed imagery, the object-oriented remotely sensed informa- tion classification pattern has been intensively studied. Starting with the definition of object-oriented remotely sensed information classification pattern and a literature review of related research progress, this paper sums up 4 developing phases of object-oriented classification pattern during the past 20 years. Then, we discuss the three aspects of method- ology in detail, namely remotely sensed imagery segmentation, feature analysis and feature selection, and classification rule generation, through comparing them with remotely sensed information classification method based on per-pixel. At last, this paper presents several points that need to be paid attention to in the future studies on object-oriented RS in- formation classification pattern: 1) developing robust and highly effective image segmentation algorithm for multi-spectral RS imagery; 2) improving the feature-set including edge, spatial-adjacent and temporal characteristics; 3) discussing the classification rule generation classifier based on the decision tree; 4) presenting evaluation methods for classification result by object-oriented classification pattern.

Assessment of Urban Heat Island Using Remotely Sensed Imagery over Greater Cairo, Egypt

The Urban Heat Island (UHI) results in significant and sometimes dramatic increases in air temperature differences between the urban environment and its surrounding areas. The heat island structure may extend from the ground to the top of roofs and canopy levels above ground. The Urban Heat Island effect is a leading factor in a long list of human health problems which are expected to increase with the rapid growth of urban populations and projected future climate change. Urban heat island studies can be conducted through either direct measurements of air temperature using automobile transects and weather station networks or through measuring surface temperature using airborne or satellite remote sensing. In this study, UHI was investigated over the Greater Cairo during both summer and winter seasons over two different dates. Landsat 7 ETM+ data were used and the mono-window algorithm was applied in the study. Results emphasis that both types of heat islands exist in the study area i.e. the surface and the atmospheric heat islands. Temperature differences ranged between 0.5°C to 3.5°C and these are much related to the existing land use/covers. It could be concluded that expansion of urban areas in Greater Cairo has led to increased thermal radiation of land surface on the highly populated areas.

An analysis on the error structure and mechanism of soil moisture and ocean salinity remotely sensed sea surface salinity products

For the application of soil moisture and ocean salinity（SMOS） remotely sensed sea surface salinity（SSS） products,SMOS SSS global maps and error characteristics have been investigated based on quality control information.The results show that the errors of SMOS SSS products are distributed zonally,i.e.,relatively small in the tropical oceans,but much greater in the southern oceans in the Southern Hemisphere（negative bias） and along the southern,northern and some other oceanic margins（positive or negative bias）.The physical elements responsible for these errors include wind,temperature,and coastal terrain and so on.Errors in the southern oceans are due to the bias in an SSS retrieval algorithm caused by the coexisting high wind speed and low temperature; errors along the oceanic margins are due to the bias in a brightness temperature（TB） reconstruction caused by the high contrast between L-band emissivities from ice or land and from ocean; in addition,some other systematic errors are due to the bias in TB observation caused by a radio frequency interference and a radiometer receivers drift,etc.The findings will contribute to the scientific correction and appropriate application of the SMOS SSS products.

A Review on Extraction of Lakes from Remotely Sensed Optical Satellite Data with a Special Focus on Cryospheric Lakes

Water on the Earth’s surface is an essential part of the hydrological cycle. Water resources include surface waters, groundwater, lakes, inland waters, rivers, coastal waters, and aquifers. Monitoring lake dynamics is critical to favor sustainable management of water resources on Earth. In cryosphere, lake ice cover is a robust indicator of local climate variability and change. Therefore, it is necessary to review recent methods, technologies, and satellite sensors employed for the extraction of lakes from satellite imagery. The present review focuses on the comprehensive evaluation of existing methods for extraction of lake or water body features from remotely sensed optical data. We summarize pixel-based, object-based, hybrid, spectral index based, target and spectral matching methods employed in extracting lake features in urban and cryospheric environments. To our knowledge, almost all of the published research studies on the extraction of surface lakes in cryospheric environments have essentially used satellite remote sensing data and geospatial methods. Satellite sensors of varying spatial, temporal and spectral resolutions have been used to extract and analyze the information regarding surface water. Multispectral remote sensing has been widely utilized in cryospheric studies and has employed a variety of electro-optical satellite sensor systems for characterization and extraction of various cryospheric features, such as glaciers, sea ice, lakes and rivers, the extent of snow and ice, and icebergs. It is apparent that the most common methods for extracting water bodies use single band-based threshold methods, spectral index ratio (SIR)-based multiband methods, image segmentation methods, spectral-matching methods, and target detection methods (unsupervised, supervised and hybrid). A Synergetic fusion of various remote sensing methods is also proposed to improve water information extraction accuracies. The methods developed so far are not generic rather they are specific to either the location or satellite imagery or to the type of the feature to be extracted. Lots of factors are responsible for leading to inaccurate results of lake-feature extraction in cryospheric regions, e.g. the mountain shadow which also appears as a dark pixel is often misclassified as an open lake. The methods which are working well in the cryospheric environment for feature extraction or landcover classification does not really guarantee that they will be working in the same manner for the urban environment. Thus, in coming years, it is expected that much of the work will be done on object-based approach or hybrid approach involving both pixel as well as object-based technology. A more accurate, versatile and robust method is necessary to be developed that would work independent of geographical location (for both urban and cryosphere) and type of optical sensor.

Efficacy of mindfulness-based meditation therapy on the sense of coherence and mental health of nurses

The primary goal of the study was to assess the efficacy of mindfulness-based meditation therapy on the psychological well-being and sense of coherence of nurses with respect to coping with stress. The participants were 28 nurses working in a ward for elderly patients, with 15 included in the intervention group and 13 in the control group. Nurses in the intervention group received two sessions of mindfulness-based meditation therapy, including breathing, yoga movement and meditation. Each nurse was taught the program in the first session, then exercised at home with a CD, and subsequently met with an interviewer in a second session after two weeks. Nurses in the control group did not receive any interventions. The participants completed the General Health Questionnaire (GHQ), including subdomains of physical symptoms, anxiety and sleep disturbance, interference with social activities, and depression;and the Sense of Coherence (SOC) questionnaire, which includes three subdomains of comprehensibility, manageability, and meaningfulness pre- and post-intervention. The GHQ scores of the intervention group showed a significantly greater decrease than those of the control group. The SOC scores of the intervention group showed a significantly greater increase after the intervention compared to those in the control group, with the highest score for the meaningfulness subdomain. These results indicate that mindfulness-based meditation therapy is effective for improving the psycho-logical well-being and sense of coherence of nurses, which helps them to cope with stress.

Sense of Coherence, Self-Disclosure, and Depression in Lung Cancer Patients

This study aimed to investigate the relationship between sense of coherence and depression and the mediating role of self-disclosure in lung cancer patients. Α cross-sectional study was conducted in “Sotiria” Chest Diseases Hospital, Greece, with a sample of 200 lung cancer patients. The administered questionnaires included demographic-medical information, SOC-13, Distress Disclosure Index, and CES-D scale. Analysis was performed by SPSS v.23 and PROCESS. Depression was common (41%) and negatively correlated to SOC (rho = -0.843, df = 198, p < 0.001), while self-disclosure did not mediate this relationship. Hierarchical linear regression analysis showed that patients with weak SOC, disease recurrence, metastases, low income, and receiving therapy in Day clinic had higher levels of depression. In conclusion, a strong SOC represents a protective factor against depression in lung cancer patients. Consequently, there is a need for targeted interventions, which should mainly increase SOC of these patients.

New Administration Systems for the World Countries and Sense of Justice ＆ Continuity in the System Administration

In this work, some of the results of the synthesis about the administration systems are expressed. The Author defined four new case theories and 23 main methods, and defined five general political/non-political administration system categories for the world countries. Each system is defined with the related 12 sub blocs to solve the general and specific problems of communities, territories, states and/or countries. Each bloc includes presidency, council, committees, associations and R-autonomous construction. For each of these five administration system categories, and for each of their sub blocs, general/specific system administration construction is defined with its 21 blocs. Importance of both sense of justice and continuity/sustainability are described with the related 21 categories defined for each of these perspective. Types of system administration are defined for five categories of administration systems. General and specific characteristics and possible fundamental and representative duties of country presidency system are defined. Ideal political constructions are defined for each of five general administration system categories. Specific way of integration of the past and present politic/non-politic groups into the ideal political construction is defined in multi dimensional form. Constructional centrism, R-Centrism, R-Continuity, R-Democracy, R-Ideology, R-Philosophy, R-Progressive, R-Religion, R-Science, Progressive Religion, ideal stability chart and some other concepts are defined as constructional and/or complementary basics of the systems. Author defined a criterion to measure the value of a country. Effective weight function of a world country is defined as a mathematical function to inspect, observe the performance and progression of a country inside, and/or in the region, and/or in the world. Basic forms of government are re-constructed and/or re-defined as hybrid-powers for each of these five categories of administration systems and general comparison made with the past/present ones. New political constructions are proposed for different party systems, different federation systems in the world. Applications and realization of the four new case theories and 23 main methods are expressed for all world countries. Author defined new or re-constructed 20 regional unions for the world due to new case theories, and one of them （SEAEU） is already officially declared.

Multifractal filtering method for extraction of ocean eddies from remotely sensed imagery

Traditional methods of extracting the ocean wave eddy information from remotely sensed imagery mainly use the edge detection technology such as Canny and Hough operators. However, due to the complexities of ocean eddies and image itself, it is sometimes difficult to successfully detect ocean eddies using these methods. A mnltifractal filtering technology is proposed for extraction of ocean eddies and demonstrated using NASA MODIS, SeaWiFS and NOAA satellite data set in the typical area, such as ocean west boundary current. Results showed that the new method has a superior performance over the traditional methods.

Quantification of Sand Dune Movements in the South Western Part of Egypt, Using Remotely Sensed Data and GIS

Sand dune movement is a hazardous phenomenon in Egypt and creates major threat on the existing land use and land cover as well as developmental plans. This paper studied the sand dune morphology and quantified the rate of sand dune movements and direction in a newly developed project in the southwest of Egypt. Two dates of satellite imageries were used to trace the Barchan dunes at various sites with different morphological properties to estimate the annual movement rate based on point to point geo-correlations. 149 dunes of the common sand dunes in the area of study including barchans and transverse dunes were studied to accurately determine their rate of movements, which ranged from 1.3 to 19.3 my-1. The direction of sand dune movements was mainly to the south and slightly southeast with range from 265 to 295 degrees. The quantification of sand dune movement and direction has, indeed, enabled to determine the major threat on the exiting land use and land cover as well as the newly developmental projects.

Remote Sense and GIS-Based Division of Landslide Hazard Degree in Wanzhou District of the Three Gorges Reservoir Area

An evaluation model divided landslide hazard degrees in Wanzhou District of Three Gorges Reservoir Area. The model was established by GIS techniques and took land use/cover, stratum characters, slope aspect, slope gradient, elevation difference and slope shape as evaluation factors. The data of land use/cover were obtained by remote sensing, and the weights of the factors mentioned above were established by the analytic hierarchy process （AHP）. The results indicate, low danger areas in the studied area account for 66.51%, and high danger areas and very high danger areas occupy 1/3 of the total area. The regions of high and very high danger are mainly located around the urban area of Wanzhou District and on the banks of the Yangtze River with a relatively large area, where collapse and landslide directly threats densely populated areas and Three Gorges Reservoir. Slope destabilization, if occurs, will bring huge loss to social economy. All research results are consistent with the actual conditions; therefore, they can be regarded as a useful basis for planning and constructing of the reservoir area.

Coupling numerical simulation with remotely sensed information for the study of frozen soil dynamics

The acquisition of spatial-temporal information of frozen soil is fundamental for the study of frozen soil dynamics and its feedback to climate change in cold regions.With advancement of remote sensing and better understanding of frozen soil dynamics,discrimination of freeze and thaw status of surface soil based on passive microwave remote sensing and numerical simulation of frozen soil processes under water and heat transfer principles provides valuable means for regional and global frozen soil dynamic monitoring and systematic spatial-temporal responses to global change.However,as an important data source of frozen soil processes,remotely sensed information has not yet been fully utilized in the numerical simulation of frozen soil processes.Although great progress has been made in remote sensing and frozen soil physics,yet few frozen soil research has been done on the application of remotely sensed information in association with the numerical model for frozen soil process studies.In the present study,a distributed numerical model for frozen soil dynamic studies based on coupled water-heat transferring theory in association with remotely sensed frozen soil datasets was developed.In order to reduce the uncertainty of the simulation,the remotely sensed frozen soil information was used to monitor and modify relevant parameters in the process of model simulation.The remotely sensed information and numerically simulated spatial-temporal frozen soil processes were validated by in-situ field observations in cold regions near the town of Naqu on the East-Central Tibetan Plateau.The results suggest that the overall accuracy of the algorithm for discriminating freeze and thaw status of surface soil based on passive microwave remote sensing was more than 95%.These results provided an accurate initial freeze and thaw status of surface soil for coupling and calibrating the numerical model of this study.The numerically simulated frozen soil processes demonstrated good performance of the distributed numerical model based on the coupled water-heat transferring theory.The relatively larger uncertainties of the numerical model were found in alternating periods between freezing and thawing of surface soil.The average accuracy increased by about 5%after integrating remotely sensed information on the surface soil.The simulation accuracy was significantly improved,especially in transition periods between freezing and thawing of the surface soil.