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Provides an introductory guide to basic print and Web resources about pop‐up books. Includes information on paper engineers, producers of pop‐up books, exhibits of pop‐up books, collecting pop‐up books, and “how‐to” guidance for making pop‐up books.

Every old library contains an increasing amount of what might be called “dead wood,” which impedes the progress of the student as the dead branches in a pine forest block the way of the walker, and it may well be that in time such dead wood will have to be thinned out and stored away at one side, making a library “wood pile” which can be looked over and drawn upon when necessary but will not constantly cumber the ground.

NANCY ALLEN is Communications Librarian at the University of Illinois, Urbana, where she has previously held the positions of Assistant Undergraduate Librarian and Reserve Book Librarian. She earned her M.S. in Library Science at the University of Illinois, Urbana. Ms. Allen's writings have appeared in American Libraries, Film Library Quarterly, and Journalism Quarterly. She is author of Film Study Collections: A Guide to Their Development and Use.

Of all first generation automated storage and retrieval (AS/R) systems installed in libraries in the United States, the most complex and ambitious installation was at the Health Sciences Library at Ohio State University. The system was designed to have twelve aisles, but only eight were installed, along with four calling stations/circulation desks located at both ends of the machine on each of two floors of the library. The system, which originally cost $811,799, required constant maintenance resulting in expenditures of $889,191 through June 1990, plus $139,575 for conversion/renovation of the system in recent years. In 1989, the university made the decision to remove the Randtriever in conjunction with anticipated expansion and renovation of the library. A sidebar by Eric Jayjohn compares the Rand‐triever with contemporary AS/R technology.

Mobile health (mHealth) technologies, in particular, have been sought after and advocated as a means of dealing with the pandemic situation. Despite the obvious advantages of mHealth, which include monitoring and exchanging health information via mobile applications, mHealth adoption has yet to take off exponentially. Expanding on the unified theory of acceptance and use of technology (UTAUT) model, this study aims to better comprehend consumers’ receptivity to mHealth even after the pandemic has subsided.

Through purposive sampling, data were collected from a sample of 345 mobile phone users and analysed using partial least squares structural equation modelling (PLS-SEM) and artificial neural networks (ANN) capture both linear and nonlinear relationships.

Effort expectancy, performance expectancy, social influence, pandemic fear and trustworthiness positively influenced mHealth adoption intention, with the model demonstrating high predictive power from both the PLSpredict and ANN assessments.

The importance–performance map analysis (IPMA) results showed that social influence had great importance for mHealth uptake, but demonstrated low performance.

Referrals are an alternative that policymakers and mHealth service providers should think about to increase uptake. Overall, this study provides theoretical and practical insights that contribute to the advancement of digital healthcare, aligning with the pursuit of Sustainable Development Goal 3 (SDG 3) (good health and well-being).

This study has clarified both linear and nonlinear relationships among the factors influencing intentions to adopt mHealth. The findings from both PLS and ANN were juxtaposed, demonstrating consistent findings.

The aim of the present study is to shed light on the role of legal practitioners, namely, lawyers and notaries, in the fight against money laundering: Are they considered as facilitators or obstacles against money laundering? How does the global and the EU legal framework deal with the legal professionals?

The research follows a deductive approach attempting to respond to questions such as: How do the lawyers’ and notaries’ societies react in front of the anti-money laundering measures that concern them and why? What are the discrepancies between the lawyers’ professional secrecy and the obligations that EU anti-money laundering legislation assigns them?

This study disclosures the response of the European union and international legal and regulatory framework as well as the reflexes of the international and European legal professionals’ associations to this danger. It also demonstrates the reaction of lawyers against European union anti-money laundering legislation, to the point that it limits not only the confidentiality principle but also the position of the European judicial systems to the contradiction between this principle and the lawyers’ obligation to report their suspicions to the authorities.

To fulfil the study goals, it was necessary to overcome some obstacles, like the limitation of existing sources. Indeed, transnational empirical research considering the professionals who facilitate money laundering is narrow. Besides, policymakers and academics only recently expressed more interest in money laundering and its facilitators.

This paper fulfils an identified need to study the legal professionals’ role not only in money laundering practices but also in anti-money laundering policies.

Information and communication technology (ICT) implementation has demonstrated usefulness in supply chain coordination and efficiency optimization in various industries and sectors. This study investigates the extent of ICT deployment in fruits and vegetable supply chains (FVSC) from “farm-to-fork” to ensure food security.

This paper employs a systematic literature review (SLR) methodology and identified a total of 99 journal articles ranging from 2001 to April 2023 for analysis. The reviewed articles have been classified based on the framework proposed from the perspective of food security. Bibliometric and content analysis is carried out with the final list of articles to extract useful insights.

The findings reveal that ICT implementation in FVSC is a relatively new research area; researchers have started investigating several aspects of ICT in FVSC through varied research methodologies. Experimental research aimed at addressing food safety and condition monitoring of fruits and vegetables (FV) has started to gain traction while theory building is yet to gain traction in the literature reviewed. Findings indicate further research is required on technologies like blockchain (BCT), artificial intelligence (AI) and machine learning (ML), especially on key objectives such as food security, and the triple-bottom-line approach of sustainability. It also indicates that implementing relevant ICTs in FVSC can help delay, if not avert, the food crisis predicted by Malthusian theory.

This study used only well-established databases to ensure quality of the studies examined. There is a possibility of missing out on articles from other sources not considered. As a result, future SLR studies may employ additional databases, such as Springer Link, Taylor and Francis, Emerald Insight and Google Scholar. Other methodologies such as expert interviews and extra empirical methodologies may also be employed to give a more balanced picture and insights into ICTs implementation in FVSC.

This study offers a summative detail of the status of ICT implementation in FVSC and can serve as a reference guide for stakeholders in developing strategies for efficient FVSC management. This research work highlights the impact of ICT implementation in FVSC on the four pillars of food security which include improved availability, accessibility, utilization and stability.

This study focuses on ICT implementation for food security in FVSC. The SLR highlights the gaps and proffers potential solutions that enhance global efforts on food security through ICT-enabled reduction in food waste and food loss in FVSC.

Predictive digital twin technology, which amalgamates digital twins (DT), the internet of Things (IoT) and artificial intelligence (AI) for data collection, simulation and predictive purposes, has demonstrated its effectiveness across a wide array of industries. Nonetheless, there is a conspicuous lack of comprehensive research in the built environment domain. This study endeavours to fill this void by exploring and analysing the capabilities of individual technologies to better understand and develop successful integration use cases.

This study uses a mixed literature review approach, which involves using bibliometric techniques as well as thematic and critical assessments of 137 relevant academic papers. Three separate lists were created using the Scopus database, covering AI and IoT, as well as DT, since AI and IoT are crucial in creating predictive DT. Clear criteria were applied to create the three lists, including limiting the results to only Q1 journals and English publications from 2019 to 2023, in order to include the most recent and highest quality publications. The collected data for the three technologies was analysed using the bibliometric package in R Studio.

Findings reveal asymmetric attention to various components of the predictive digital twin’s system. There is a relatively greater body of research on IoT and DT, representing 43 and 47%, respectively. In contrast, direct research on the use of AI for net-zero solutions constitutes only 10%. Similarly, the findings underscore the necessity of integrating these three technologies to develop predictive digital twin solutions for carbon emission prediction.

The results indicate that there is a clear need for more case studies investigating the use of large-scale IoT networks to collect carbon data from buildings and construction sites. Furthermore, the development of advanced and precise AI models is imperative for predicting the production of renewable energy sources and the demand for housing.

This paper makes a significant contribution to the field by providing a strong theoretical foundation. It also serves as a catalyst for future research within this domain. For practitioners and policymakers, this paper offers a reliable point of reference.

In recent decades, interest in digital transformation (DX) within the architecture, engineering, and construction (AEC) industry has significantly increased. Despite the existence of several literature reviews on DX research, there remains a notable lack of systematic quantitative and visual investigations into the structure and evolution of this field. This study aims to address this gap by uncovering the current state, key topics, keywords, and emerging areas in DX research specific to the AEC sector.

Employing a holistic review approach, this study undertook a thorough and systematic analysis of the literature concerning DX in the AEC industry. Utilizing a bibliometric analysis, 3,656 papers were retrieved from the Web of Science spanning the years 1990–2023. A scientometric analysis was then applied to these publications to discern patterns in publication years, geographical distribution, journals, authors, citations, and keywords.

The findings identify China, the USA, and England as the leading contributors in the field of DX in AEC sector. Prominent keywords include “building information modeling”, “design”, “system”, “framework”, “adoption”, “model”, “safety”, “internet of things”, and “innovation”. Emerging areas of interest are “deep learning”, “embodied energy”, and “machine learning”. A cluster analysis of keywords reveals key research themes such as “deep learning”, “smart buildings”, “virtual reality”, “augmented reality”, “smart contracts”, “sustainable development”, “building information modeling”, “big data”, and “3D printing”.

This study is among the earliest to provide a comprehensive scientometric mapping of the DX field. The findings presented here have significant implications for both industry practitioners and the scientific community, offering a thorough overview of the current state, prominent keywords, topics, and emerging areas within DX in the AEC industry. Additionally, this research serves as an invaluable reference and guideline for scholars interested in this subject.

The purpose of this paper is to understand the effect of the network contract (NC) on the internationalization of Italian firms to evaluate whether and how network characteristics, management perceptions and governance influence firms’ degree of internationalization (DOI).

By using the data from a survey of 350 Italian firms that joined a network in 2012, hierarchical regression analyses were applied to test four hypotheses.

Network size and diversity as well as management attitudes and perceptions influence firms’ exports. However, only network diversity is positively related to the number of markets in which firms operate. A positive direct effect of network diversity on network managers’ activities and a significantly indirect effect via network managers’ activities also exist.

Network diversity is crucial for achieving better results in foreign markets. Interacting with diverse network participants can help firms manage diversity, expressed in terms of information, resources and competencies, helping overcome the barriers that hinder the internationalization process. The presence of an efficient network manager should facilitate the achievement of firms’ internationalization objectives.

This research is one of the first studies to analyze the effects of an Italian NC on firms’ internationalization. From a theoretical standpoint, it adds to the literature a specific analysis that relates primarily to small firms, showing that, in this context, the results are not always consistent with those of prior studies.