Surface and Content Validity of the Mentoring Function Scale for Novice Nurses

This study aimed to examine the surface and content validity of the Mentoring Function Scale for Novice Nurses, used to assess the mentoring of entry-level nurses, and to refine the scale items. In Study 1, six nurse education researchers, selected using convenience sampling, with five or more years of nursing experience and experience teaching novice nurses, were invited to an expert meeting in July 2015. A group interview was conducted that lasted approximately 120 minutes. Study 2 examined the content validity index. Between September and November 2015, we distributed a self-administered questionnaire survey to 11 participants selected by convenience sampling. The participants included five nurse education researchers with a minimum of five years of nursing experience and experience teaching novice nurses, as well as six clinical nurses with a master’s degree or higher. Finally, 81 questionnaire items were retained from the initial 125 items. The 81-item Mentoring Function Scale for Novice Nurses had higher content validity than the original scale. To further increase the scale’s applicability, future studies should assess its reliability, construct validity, and criterion-related validity.

Monitoring Soil Salt Content Using HJ-1A Hyperspectral Data: A Case Study of Coastal Areas in Rudong County, Eastern China

Hyperspectral data are an important source for monitoring soil salt content on a large scale. However, in previous studies, barriers such as interference due to the presence of vegetation restricted the precision of mapping soil salt content. This study tested a new method for predicting soil salt content with improved precision by using Chinese hyperspectral data, Huan Jing-Hyper Spectral Imager(HJ-HSI), in the coastal area of Rudong County, Eastern China. The vegetation-covered area and coastal bare flat area were distinguished by using the normalized differential vegetation index at the band length of 705 nm(NDVI705). The soil salt content of each area was predicted by various algorithms. A Normal Soil Salt Content Response Index(NSSRI) was constructed from continuum-removed reflectance(CR-reflectance) at wavelengths of 908.95 nm and 687.41 nm to predict the soil salt content in the coastal bare flat area(NDVI705 < 0.2). The soil adjusted salinity index(SAVI) was applied to predict the soil salt content in the vegetation-covered area(NDVI705 ≥ 0.2). The results demonstrate that 1) the new method significantly improves the accuracy of soil salt content mapping(R2 = 0.6396, RMSE = 0.3591), and 2) HJ-HSI data can be used to map soil salt content precisely and are suitable for monitoring soil salt content on a large scale.

Contents Index to Volume 4

Research Papers Generating a multilingual taxonomy based on multilingual terminology clustering Chengzhi ZHANG 2011,4(2):27Construction of an evaluation system for information openness of local governments Fang WANG&Qun GU 2011,4(1):28Real-time virtual reference service based on applicable artificial intelligence technologies:The debut of the robot Xiaotu at Tsinghua University Library

A comprehensive review of significant researches on content based indexing and retrieval of visual information

Developments in multimedia technologies have paved way for the storage of huge collections of video doc- uments on computer systems. It is essential to design tools for content-based access to the documents, so as to allow an efficient exploitation of these collections. Content based anal- ysis provides a flexible and powerful way to access video data when compared with the other traditional video analysis tech- niques. The area of content based video indexing and retrieval （CBVIR）, focusing on automating the indexing, retrieval and management of video, has attracted extensive research in the last decade. CBVIR is a lively area of research with endur- ing acknowledgments from several domains. Herein a vital assessment of contemporary researches associated with the content-based indexing and retrieval of visual information. In this paper, we present an extensive review of significant researches on CBV1R. Concise description of content based video analysis along with the techniques associated with the content based video indexing and retrieval is presented.

Research on the Feasibility of Engineering Application for Solidified Sludge Landfill

The sludge was landfilled after solidification/stabilization treatment. This technology can solve the problem of much sludge treatment. But the study on engineering application is less common. There is a lack of corresponding research results about equipment, process and treatment effect. According to the above problems, this paper discusses the treatment process combining with sludge solidification/stabilization landfill field in Fuyong Town in Shenzhen City. Furthermore, the strength, moisture content, environmental indexes of treated sludge in field test was carried out in order to monitor the treatment effect. The results showed that the sludge solidification/stabilization equipment can meet the need of large-scale engineering application and the treatment process is relatively simple and the solidified sludge can meet the need of landfill.

Epistemological Attitudes Towards Sources of Knowledge Semantic Questionnaire

Given the everlasting significance of knowledge in society and academia,this article proposes a theoretical and methodological perspective on conceptualizing and investigating it.Specifically,it aims to explore the epistemological attitude(EA)theory and its semantic approach to assessing sources of knowledge.The article provides a concise overview of the EA theory,which advocates for a systemic perspective on cognition and knowledge.It introduces and elaborates on the core concept and model,which serve as the foundation for the proposed methodology.This methodology suggests examining knowledge objects through subjective,contextual,and epistemological realms as multi-level knowledge constructs.Emphasizing the importance of semantics in studying knowledge,categories,and meanings,the article proposes an epistemological attitude towards sources of knowledge semantic questionnaire.The article delves into the methodology,reflecting on its four consecutive stages.It begins with the formal and substantive stages,which involve selecting sources,choosing academic experts as target participants,and developing content.The procedural stage follows,in which an expert review approach is employed to assess the content validity of the method.Finally,the article discusses the semantic method,elucidating its structure,features,semantic categories,and assessment procedure.The proposed method provides a unique contribution by enabling the analysis of the epistemological and socio-psychological meanings of sources,representing them as semantic constructs.