A Novel Nanocomposite with Photo-Polymerization for Wafer Level Application

©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or distribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.A novel nanocomposite photo-curable material which can act both as a photoresist and a stress redistribution layer applied on the wafer level was synthesized and studied. In the experiments, 20-nm silica fillers were modified by a silane coupling agent through a hydrolysis and condensation reaction and then incorporated into the epoxy matrix. A photo-sensitive initiator was added into the formulation which can release cations after ultraviolet exposure and initiate the epoxy crosslinking reaction. The photo-crosslinking reaction of the epoxy made it a negative tone photoresist. The curing reaction of the nanocomposites was monitored by a differential scanning calorimeter with the photo-calorimetric accessory. The thermal mechanical properties of photo-cured nanocomposites thin film were also measured. It was found that the moduli change of the nanocomposites as the filler loading increasing did not follow the Mori–Tanaka model, which indicated that the nanocomposite was not a simple two-phase structure as the composite with micron size filler. The addition of nano-sized silica fillers reduced the thermal expansion and improved the stiffness of the epoxy, with only a minimal effect on the optical transparency of the epoxy, which facilitated the complete photo reaction in the epoxy

Effects of COVID-19 on hotel marketing and management: a perspective article

Purpose – This article discusses the effects of COVID-19 on hotel marketing and management practices and outlines a three-pronged research agenda to stimulate knowledge development in the hotel sector. Design/methodology/approach – This paper is based on an overview of the relevant literature on hotel marketing and management as well as the hotel guest behavior. The authors also investigated hospitality service trends to propose a research agenda. Findings – This paper presents a research agenda from three dimensions – artificial intelligence (AI) and robotics, hygiene and cleanliness, and health and healthcare. First, different types of AI (mechanical, thinking, and feeling) might open up distinct research streams at the intersection of health crises and hotel management, in light of the COVID-19 pandemic. Additionally, this paper recommends that researchers move beyond typical perspectives on the antecedents and outcomes of hotel hygiene and cleanliness to delve into guests’ perceptions of the cleanliness of specific hotel surfaces. Furthermore, a more in-depth analysis is warranted about the evolving relationship between hotels and the healthcare sector. Practical implications – The recommended research areas are intended to advance the knowledge base to help hotels recover from the COVID-19 pandemic. The suggested research streams are expected to provide actionable insights to promote the development and sustainability of the hotel sector. Originality/value – This article appears to be a frontier study, critically examining possible effects of the COVID-19 pandemic on hotel marketing and management practices and how hoteliers may respond to such challenges to recover after this pandemic

Beyond sightseeing: How can tourism affect public/global health in modern society?

Tourism was historically regarded as a practical and business-oriented domain rather than as a research dis - cipline [1,2]. Ontologically, tourism was seen as a field in which to apply theory and as a means of fulfilling needs related to leisure, pleasure, and social health. Little effort has been made to uncover its more nuanced meanings. In 2006, John Tribe, a leading tourism scholar, published a commentary challenging the truth of tourism research and described a complex phenomenon in which the construct’s psychological, philosophi - cal, and social dimensions/values were not well understood [ 3]. He also suggested that much of the research published on tourism was influenced by key factors related to the research authors [3]

The antecedents and consequences of value co-creation behaviors in a hotel setting: a two-country study

This study examines the antecedents and consequences of value co-creation behavior in a hospitality context. An online questionnaire with samples of hotel patrons in the United States and Australia was used to obtain data and partial least square modeling was used in the analysis. The results suggest patron fairness perception enhances trust and identification with a hotel, which encourage engagement in the value co-creation behavior. Furthermore, this behavior enhances patron well-being and respect for the hotel. The study contributes to the literature by suggesting a value co-creation behavior model in the hospitality context and empirically examining the antecedents and consequences of this behavior. The results have important implications for managers designing service encounters that can encourage hotel patrons to engage in the value co-creation behavior

Silicene Nanomesh

Similar to graphene, zero band gap limits the application of silicene in nanoelectronics despite of its high carrier mobility. By using first-principles calculations, we reveal that a band gap is opened in silicene nanomesh (SNM) when the width W of the wall between the neighboring holes is even. The size of the band gap increases with the reduced W and has a simple relation with the ratio of the removed Si atom and the total Si atom numbers of silicene. Quantum transport simulation reveals that the sub-10 nm single-gated SNM field effect transistors show excellent performance at zero temperature but such a performance is greatly degraded at room temperature

H2CGL: Modeling Dynamics of Citation Network for Impact Prediction

The potential impact of a paper is often quantified by how many citations it will receive. However, most commonly used models may underestimate the influence of newly published papers over time, and fail to encapsulate this dynamics of citation network into the graph. In this study, we construct hierarchical and heterogeneous graphs for target papers with an annual perspective. The constructed graphs can record the annual dynamics of target papers' scientific context information. Then, a novel graph neural network, Hierarchical and Heterogeneous Contrastive Graph Learning Model (H2CGL), is proposed to incorporate heterogeneity and dynamics of the citation network. H2CGL separately aggregates the heterogeneous information for each year and prioritizes the highly-cited papers and relationships among references, citations, and the target paper. It then employs a weighted GIN to capture dynamics between heterogeneous subgraphs over years. Moreover, it leverages contrastive learning to make the graph representations more sensitive to potential citations. Particularly, co-cited or co-citing papers of the target paper with large citation gap are taken as hard negative samples, while randomly dropping low-cited papers could generate positive samples. Extensive experimental results on two scholarly datasets demonstrate that the proposed H2CGL significantly outperforms a series of baseline approaches for both previously and freshly published papers. Additional analyses highlight the significance of the proposed modules. Our codes and settings have been released on Github (https://github.com/ECNU-Text-Computing/H2CGL)Comment: Accepted by IP&

Suboptimal health status, COVID-19 psychology, and cultural value impact on post-pandemic outbound travel

Suboptimal health has become a core public health challenge, especially during the pandemic. This study adopts an interdisciplinary perspective to examine the relationships between suboptimal health status, COVID-19 fear and stress, cultural values, and outbound travel. A theoretical model was evaluated using data from 800 Beijing residents, 439 of whom were in suboptimal health. Four dimensions of suboptimal health (fatigue, mental status, immune system, and cardiovascular system) significantly affected COVID-19 stress and fear. Post-pandemic travel intention was positively related to fatigue symptoms and leisure and life enjoyment but negatively associated with COVID-19 stress. Suggestions for highlighting travellers’ health status and promoting holistic health through post-pandemic travel are provided