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The purpose of this paper is to describe, analyze and understand international users' library experience in the Digital Age in order to inform library service design and ensure it provides an inclusive environment. In this study, the behavioral and experiential aspects of user library experience are merged to develop essential interconnections between information behavior (IB) and user experience (UX) in the context of the academic library with the goal of constructing a more holistic understanding of ‘library experience.

The study was built on the concept “library experience” through analyzing its essential components of IB and UX. It was developed through findings from mixed methods research, consisting of the quantitative investigation from a library log analysis, and qualitative investigations via cognitive mapping exercises and semi-structured interviews, both targeted on the largest single group of international students in United Kingdom – international Chinese students.

The findings demonstrated the complexity and multilayered characteristics of international Chinese students' library context, and three unique contexts emerged from the data shaping their library experience. Building on the previous findings on the connections between IB and UX, the work attempted to redefine “library experience” by joining both behavioral and experiential aspects. It is found that the key components of cultural library experience are the multilayered context, cultural group's perception needs, sense-making process and subjective evaluations.

This study joins the behavioral and experiential perspectives together to explore library experience in a more holistic way and proposes a systematic structure to understand and analyze library experience, especially that of international users in a cross-cultural context, which, in turn, will better serve their information needs and inform the design of a more equal and inclusive library system.

The manufacturability of extremely fine porous structures in the SLM process has rarely been investigated, leading to unpredicted manufacturing results and preventing steady medical or industrial application. The research objective is to find out the process limitation and key processing parameters for printing fine porous structures so as to give reference for design and manufacturing planning.

In metallic AM processes, the difficulty of geometric modeling and manufacturing of structures with pore sizes less than 350 μm exists. The manufacturability of porous structures in selective laser melting (SLM) has rarely been investigated, leading to unpredicted manufacturing results and preventing steady medical or industrial application. To solve this problem, a comprehensive experimental study was conducted to benchmark the manufacturability of the SLM process for extremely fine porous structures (less than 350 um and near a limitation of 100 um) and propose a manufacturing result evaluation method. Numerous porous structure samples were printed to help collect critical datasets for manufacturability analysis.

The results show that the SLM process can achieve an extreme fine feature with a diameter of 90 μm in stable process control, and the process parameters with their control strategies as well as the printing process planning have an important impact on the printing results. A statistical analysis reveals the implicit complex relations between the porous structure geometries and the SLM process parameter settings.

It is the first time to investigate the manufacturability of extremely fine porous structures of SLM. The method for manufacturability analysis and printing parameter control of fine porous structure are discussed.

This study aims to to provide a model based on the context and conditions of the regions in Iran for monitoring regional innovation systems (RISs).

In the first stage, after reviewing the literature, interviewing the experts, and then thematic analyzing the content of the obtained data, initial Dimensions and indicators were identified. Then, a fuzzy Delphi technique and a seven-scale questionnaire were used to test the results and expert opinion. Finally, after the extraction and correction of the indicators to evaluate the RISs, a comprehensive model was identified in 5 dimensions, 16 indicators and 176 sub-indicators. In the next step, the importance weights of the main 16 indicators were determined using the analytic hierarchy process method.

The proposed RIS assessment model consists of firms’ behavior and regional interactions, economy, human capital, innovative outputs, locational features, that each dimension has its own indicators and sub-indicators, each one is discussed in the paper.

The research contribution is that the proposed RIS model of this research is the first model that is appropriate to the context of Iran.