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This paper presents recently published resources on library instruction and information literacy, providing an introductory overview and a selected annotated bibliography of publications covering various library types, study populations and research contexts.

This paper introduces and annotates English-language periodical articles, monographs, dissertations, reports and other materials on library instruction and information literacy published in 2020.

The paper provides a brief description of all 440 sources and highlights sources that contain unique or significant scholarly contributions.

The information may be used by librarians, researchers and anyone interested in a quick and comprehensive reference to literature on library instruction and information literacy.

The development of information technologies has led to a considerable transformation in human resource management from conventional or commonly known as personnel management to modern one. Data mining technology, which has been widely used in several applications, including those that function on the web, includes clustering algorithms as a key component. Web intelligence is a recent academic field that calls for sophisticated analytics and machine learning techniques to facilitate information discovery, particularly on the web. Human resource data gathered from the web are typically enormous, highly complex, dynamic, and unstructured. Traditional clustering methods need to be upgraded because they are ineffective. Standard clustering algorithms are enhanced and expanded with optimization capabilities to address this difficulty by swarm intelligence, a subset of nature-inspired computing. We collect the initial raw human resource data and preprocess the data wherein data cleaning, data normalization, and data integration takes place. The proposed K-C-means-data driven cuckoo bat optimization algorithm (KCM-DCBOA) is used for clustering of the human resource data. The feature extraction is done using principal component analysis (PCA) and the classification of human resource data is done using support vector machine (SVM). Other approaches from the literature were contrasted with the suggested approach. According to the experimental findings, the suggested technique has extremely promising features in terms of the quality of clustering and execution time.

Planning and implementing in-service professional development to support teachers’ pedagogical practices for English language learners (ELLs) first considers building upon existing teachers’ knowledge and understanding of practice. Teaching English Learners Academic Content (TELAC) is an in-service professional development model that provides an enriched program curriculum to urban teachers seeking to improve teaching practices for their ELLs. Through an integrative approach of learning coupled with learning experiences, practicum activities, observational feedback, and coaching, teachers initiate refinement to practice that reflect culturally sustaining pedagogy. Funded by the U.S. Department of Education, Office of English Language Acquisition/National Professional Development program, Teaching English Learners Academic Content (TELAC) (2012–2017) is a K-12 program in Arizona designed to build a cadre of teachers adept with implementation of instructional strategies that support ELL academic success. All of the participants in this in-service professional development program are K-12 teachers of English language learners, teach any grade level and subject area in urban school districts with a majority of students who are second language learners of English. Teachers’ shared common concern is the need to improve pedagogical practices for ELLs and to personally develop their knowledge and capability to change teaching practices.

For decades, the fast population growth worldwide was interrelated with the adopted rapid lifestyle behavior that relies on the extensive use of fossil fuels. This primary energy source has caused various urban and environmental impacts, such as global warming, air pollution, and so forth. Consequently, the identified circumstance issues have caused many health, social, and economic hindering effects for global citizens. It poses an existential threat to humanity and the global earth's ecosystem. The alarming levels of urban pollution emissions are putting enormous challenges to the related stakeholders (governments, businesses, investors, automakers, and citizens) to admit the need to decarbonize the global economy and reach sustainable development goals (SDGs) for cleaner and smarter cities across borders. As such, a vital part of a smart city is the transport sector. The road transport sector, precisely, is one of the primary consumers of fossil fuels that contribute to high carbon dioxide emissions. Accordingly, it is essential to adopt novel and sustainable urban transport solutions and promote the achievement of the SDG's eleventh goal for sustainable cities and communities. This chapter provides insight into the present global energy situation with particular attention to the road transport sector. Indeed, it highlights different emerging technologies for a sustainable and smart urban mobility future that will mitigate the environmental situation thanks to the development of drive and internet telecommunication technologies. Furthermore, we aim in this chapter to study the international progress of the transition project using the Political, Economic, Social, Technological, Environmental, and Legal (PESTEL) analysis methodology. This study is to pinpoint opportunities for project development and the challenges that set back its evolution.

The e-health services came up as an effective tool to mitigate effects of COVID-19 and following social distance norms. This study highlighted an issue of contentious usage intentions of e-health services among Thai older citizens. This study aims to examine the relationship of social influence (SI), information quality (IQ) and the digital literacy (DL) to contentious usage intentions.

This study follows quantitative techniques, and the sample size is 140 to analyze, that is collected from the older Thai citizens. The convenient sampling technique was used to collect the data and the items were measured by using a five-point Likert scale.

The findings of this study are having mixed results. The effect of DL and satisfaction (SAT) on continuous usage intention (CUI) is significant. The effect of IQ and SI on CUI is non-significant. The effect of IQ and SI on SAT is significant. Further, the mediating effect of SAT between IQ and CUI is non-significant. However, the mediating effect of SAT between SI and CUI is significant.

This study contributes to knowledge by empirical testing of DL and usage of the medicine. Furthermore, to the best of the authors’ knowledge, this study is one of the rare studies that incorporate technological intervention for drug usage intentions.

Consumer confidence in the European food industry has been shaken by a number of recent scandals due to food fraud and accidental contamination, reminding the authors that deliberate incidents can occur. Food defence methods aim to prevent or mitigate deliberate attacks on the food supply chain but are not a legal requirement. The purpose of this paper is to discuss how proactive and reactive food defence practices can help prevent or mitigate malicious attacks on the food chain and also food fraud, food crime and food safety. The authors look at how food defence differs from food safety and how it contributes to food supply chain integrity.

Food defence has been the focus of two different EU FP7 security projects, EDEN and SNIFFER. Food industry stakeholders participated in workshops and demonstrations on food defence and relevant technology was tested in different food production scenarios.

Food industry end-users reported a lack of knowledge regarding food defence practices. They wished for further guidelines and training on risk assessment as well as access to validated test methods. Novel detection tools and methods showed promise with authentication, identification, measurement, assessment and control at multiple levels of the food supply chain prior to distribution and retail.

The prevention of a contamination incident, prior to retail, costs less than dealing with a large foodborne disease outbreak. Food defence should therefore be integral to food supply chain integrity and not just an afterthought in the wake of an incident.

It is argued that food defence practices have a vital role to play across the board in unintentional and intentional food contamination incidents. The application of these methods can help ensure food supply chain integrity.

The purpose of this paper is to examine the role of school leaders to provide social justice in three contexts: Costa Rica, Mexico, and Spain.

A qualitative study was conducted under the interpretative tradition characterized by a search for an understanding of the social world from the point of view of a school director from each of the three countries. Interviews were conducted to determine their views on social justice, the actions they took, and the obstacles they confronted.

The directors conceived of education as a right and believed in equal educational opportunity, and fair distribution of resources. They used a variety of methods to promote social justice, increase social cohesion, and provide emotional education. Obstacles came from educational authorities who tried to control rather than support their efforts. They were committed to working in schools with marginalized populations, but their efforts had taken a toll on their personal and professional lives.

The research looked at just three principals whose experiences were unique to their context. However, the study has the advantage of looking at schools not typically included in educational research.

The work of these school directors underscores the need for preparation in skills, knowledge, and values to work for social justice.

The value of this research is to illuminate the narratives of school leaders. Working across borders can provide insights about the possibilities of change and strength to persevere.

Purpose: The concept of sustainability in the livelihood of rural people is the central point for the discussion for policymakers. Different policies for poverty reduction, developing economies, and environment management are not capable of using multimedia technology for rural entrepreneurial development.

Need of the Study: The study analyses the impact of multi-media and tries to understand its significance for rural enterprises to contribute to developing entrepreneurship in rural areas to minimise poverty.

Methodology: This research analysed a framework that highlights that multi-media technology offers different ways to earn a sustainable livelihood by enhancing the range of advanced technology, access to information assets, increased social networks, information transfer system, and modernisation of traditional working. A total of 450 rural entrepreneurs were contacted to collect the data from 6 different divisions of Haryana through a questionnaire on 5-point scale. A purposive sampling technique was used for primary data collection.

Findings: The multi-media technology influences rural entrepreneurial development through certain organisational factors, new products and services, improved customer service, generation of employment opportunities over time, increased loyalty, and novel combination of resources within the specific context.

Practical Implications: The study concludes the capabilities may be utilised up to maximum advantages that increase with the use of multi-media technology in the rural framework.

The current research aimed to examine the prevalence of Instagram posts featuring ultra-processed products targeted at adolescents in Uruguay and hence investigate the frequency of such posts among a vulnerable consumer segment in a country that cannot be classified as WEIRD (i.e. Western, educated, industrialized, rich and democratic).

The study relied on a cross-sectional content analysis. A total of 2,014 Instagram posts promoting ultraprocessed products or brands commercializing such products, generated by 118 Instagram accounts between August 15th, 2020, and February 15th, 2021, were analyzed. Nine indicators of food marketing targeted at adolescents were selected to identify posts targeted at this age segment. Inductive coding was used to describe the content of the posts. Descriptive statistics and generalized linear models were used to analyze the data.

In total, 17.6% of the posts were identified as targeted at adolescents. Graphic design and adolescent language were the most prevalent indicators of marketing targeted at adolescents, followed by explicit references to adolescents or young adults and memes. Posts identified as targeted at adolescents mainly promoted snacks and discretionary foods. Differences in the content of posts identified as targeted and not targeted at adolescents were observed.

The analysis was restricted to one social media platform in one country during a limited period of time, which limits the generalizability of the findings to other media platforms, samples and settings.

Results stress the need to implement digital food marketing regulations to reduce exposure of adolescents to the deleterious effects of stemming from marketing of unhealthy foods and provide empirical evidence to inform their development.

The study breaks new ground by analyzing the prevalence and exploring the characteristics and content of Instagram posts promoting ultra-processed products to adolescents in an under-researched geographic area of the world.

The purpose of this paper is to examine the impact of adding the name of an artist to an art-infused product as a way to improve luxury perceptions. Additionally, the underlying processes are explored through the mediation of perceptions of aesthetics, exclusivity and brand quality.

Two experimental studies were conducted with two independent samples of students (n = 215) and the general population (n = 291). A between-subjects design (artist name: present versus absent) was used to test the main effect and mediation, and it was replicated in two different conditions: low- and high-quality brands.

The results indicate that when an artist’s name is added to the description of an art-infused product, luxury perceptions improve significantly. These results are also explained by a significant complementary mediation of aesthetics, exclusivity and product quality.

This paper addresses important issues in the understanding of alternative ways to gain luxury associations through an artification strategy. This paper clearly contributes to expanding the effects of art infusion in branding, considering the use of artists’ names as a luxury perception booster. In addition, this paper provides insight into the underlying processes and guides marketers on how to manage potential artist collaborations in low- or high-quality brand contexts.