Research on Wulong Tourism Service Experience Based on Network Travelogue

This paper analyzes 1,662 travelogues about the Wulong tourism destination from the Mafengwo platform using literature research and network text analysis.The goal is to identify the driving factors affecting Wulong’s tourism service experience and suggest improvements.By extracting high-frequency words and analyzing emotions from the travelogues,tourists’conceptions and perceptions were identified and the factors affecting the tourism service experience in Wulong were summarized into six categories:tourism resource attractions,tourism transportation,tourism facilities and digital services,cultural charms,special cuisines,and environmental ambiance.Tourists’emotional perceptions of Wulong are primarily positive,with negative perceptions mainly related to unsatisfactory tourism facilities and digital services in the Wulong scenic area.This study helps the Wulong tourist destination understand the issues and deficiencies in tourists’service experiences,providing significant guidance for improving service quality and offering data support for service marketing and optimization.

Progress in applying patient experience in nursing quality improvement

Background： Improving and sustaining the quality of nursing care is an intractable and persistent challenge. The patient experience of nursing care can give a different perspective on nursing quality and help clinical nursing staff to direct quality improvement. Attempts to identify what is patient experience,the relationship with nursing care, and the application of patient experience in nursing quality improvement practice, in order to provide advices for constructing the quality standards and quality improvement strategies of nursing care.Methods： We conducted a literature review of original research publications. The database platforms Pubmed, Web of Science, China National Knowledge Infrastructure（CNKI） and Wanfang were searched from inception until end of August 2015. After screening retrieved articles, 40 sources（articles and organizational websites） were selected for analysis for the connotation, development and application of patient experience in nursing quality researches.Results： Our study identified several concepts about patient experience, roughly sorted out the development path of patient experience in worldwide and the application of patient experience in nursing quality improvement. It points out four precautions when applying patient experience in nursing quality improvement, which are differentiating patient satisfaction and patient experience, choosing appropriate data collection method and appropriate feedback time, and the last but the most important, applying theories to actual clinical practice.Conclusions： Professional indexes are important to maintain the care quality, but it cannot fully reflect quality of nursing care, which needs patient experience as the supplement. Nursing staffs need to make more efforts to enhance patient＇s nursing care experience, and apply the research results to clinical practice, and finally make patient-centered care come true. For future study, the evaluation system and management strategies about patient experience need to be developed to guide nursing quality improvement.

Incorporating novelty and novel ecosystems into restoration planning and practice in the 21st century

Novelty pervades the biosphere.In some cases,potentially irreversible abiotic and/or biotic changes have led to the crossing of thresholds and thus the formation of“novel ecosystems.”Their widespread emergence(particularly on land)and the presence of continued environmental change challenge a traditional restoration goal of restoring an historical ecosystem.Instead,we argue that restoration could broaden its frame of reference to consider how novel ecosystems might be used to maintain global biodiversity and provide ecosystem services and,in doing so,save potentially wasted efforts in attempting to fulfil traditional goals.Here we explore this contention in more depth by addressing:Are novel ecosystems innovative planning or lowering the bar?We show that novel ecosystems were not innovative planning in their original conception.On the contrary,they were recognized as ecosystems that were recalcitrant to traditional restoration approaches,coupled with an awareness that they had arisen inadvertently through deliberate human activity,either on-or off-site.Their recalcitrance to traditional restoration suggests that alternative goals may exist for these ecosystems using sometimes innovative intervention.This management may include biodiversity conservation or restoration for ecological function.We elucidate the latter aspect with reference to an experiment in the wheatbelt of Western Australia—The Ridgefield Multiple Ecosystem Services Experiment—the design of which has been informed by ecological theory and the acceptance of novelty as an ecosystem component.Although novel ecosystems do provide opportunities to broaden restoration planning and practice,and ultimately maintain and conserve global biodiversity in this era of environmental change,they necessarily“lower the bar”in restoration if the bar is considered to be the historical ecosystem.However,in these times of flux,such a bar is increasingly untenable.Instead,careful and appropriate interventions are required at local,regional,and global scales.These interventions need to take history into account,use ecological and evolutionary theory to inform their design,and be mindful of valid concerns such as hubris.Careful interventions thus provide an opportunity for broadening restoration’s framework to focus on maintaining global biodiversity and delivering ecosystem services as well as the traditional goals of restoring historical ecosystems.

An Optimal Resource Provision Policy in Cloud Computing Based on Customer Profiles

Conventional resource provision algorithms focus on how to maximize resource utilization and meet a fixed constraint of response time which be written in service level agreement（SLA）.Unfortunately,the expected response time is highly variable and it is usually longer than the value of SLA.So,it leads to a poor resource utilization and unnecessary servers migration.We develop a framework for customer-driven dynamic resource allocation in cloud computing.Termed CDSMS（customer-driven service manage system）,and the framework’s contributions are twofold.First,it can reduce the total migration times by adjusting the value of parameters of response time dynamically according to customers’profiles.Second,it can choose a best resource provision algorithm automatically in different scenarios to improve resource utilization.Finally,we perform a serious experiment in a real cloud computing platform.Experimental results show that CDSMS provides a satisfactory solution for the prediction of expected response time and the interval period between two tasks and reduce the total resource usage cost.