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An exploration as to whether marketing by publishing companies by anonymously recommending titles for purchase actually influences library acquisitions.

The purpose of this paper is to discuss modifying an existing bookmarklet which is a button‐based tool that adds functionality to a web browser. This modification allows an individual to search a library's OPAC by ISBN for numbers encountered in the body of web documents such as bibliographies or book reviews.

The paper documents the code for the bookmarklet and its modification for different browsers.

The process involves using JavaScript to copy highlighted text from a web page and send it as a search to the local OPAC.

This tool allows the user to check if a particular book encountered on the web is held in a local library by highlighting the ISBN tool and clicking a browser button. The utility may be useful to library patrons as a discovery tool for finding books and can be used to automate aspects of daily library operations. Suggested applications and further variations and modifications to search by data elements other than ISBN, such as ISSN or title are discussed.

The process discussed adds a new way to access a library's holdings.

Through the use of digital methods, representation of peoples’ self-perception of experiences becomes possible. Digital imagery presents opportunities to expand the way it is possible to convey the diverse information gathered in the field. To enable some of the communication of various unseen experiences of the chronic illnesses Chronic Fatigue Syndrome and Fibromyalgia, I created, what I have called, hypertextual self-scape digital photographs through collaboration with participants which use a layering of information gathered in the field, including both seen and unseen experiences to create sensory embodied dialogue about the lifeworld. I will expand on this in greater detail as we continue, but briefly this means the use of art forms being used as a way to gather information and then using digital techniques to communicate the self-talk of lived experience. Images have the potential to expand our access to peoples’ lifeworld and I will take this further in the chapter to look at how altering an image increases the information that can be communicated. Just as the bodies of my participants do not reveal the truth about their experiences, the objects chosen do not tell the whole story about what they really represent. As a part of this discourse I will show how digital technologies have the potential to expand representations of experience. Imagery is another way to “write up” information gathered during the research and by embracing images and symbols through our method and our writing up of the research expands on the information which can be gathered and later communicated about participants’ lifeworld. The images I am using here act “not as observational and objectifying tools, but as routes to multisensorial knowing” (Pink, 2010, p. 99) and expand on the existing representations of chronic illness in the literature. We also view and interpret images in a different way to text, as I believe images offer a potential to engage in dialogue with the body in sensory discourse. Therefore, the purpose of this chapter is to advocate the use of digital technologies alongside research methodologies when looking at hidden experience and interiorities (Hogan & Pink, 2010; Irving, 2013).

The ‘Common Market’, now fused with the European Union for Coal and Steel (usually abbreviated to the ‘Mining Union’) and with the European Atomic Energy Community, is primarily founded on economic considerations to create a common productive European market. I need not say any more about this, since Great Britain has expressed the wish to become a component part of this European association. Lord Gladwyn considers this decision to be more significant than the declaration of war of 1939; he also considers it to be the end of an era.

This study compared different types of full-time caregiver (e.g., children, older adults, COVID-19 patients) and subgroups (e.g., disability, race/ethnicity, sexual orientation) in the United States during the COVID-19 pandemic for potentially meaningful distinctions.

Data from the 9,854 full-time caregivers identified in Phase 3.2 (July 21–October 11, 2021) of the US Census Household Pulse Survey (HPS) were analyzed in this study using multinomial logistic regression to examine relationships between caregiver types, marginalized subgroups, generation, and vaccination status.

The prevalence of caregiving was low, but the type of full-time caregiving performed varied by demographic group (i.e., disability, race/ethnicity, sexual orientation, gender, generation, and vaccination status). The relative risk of being a COVID-19 caregiver remained significant for being a member of each of the marginalized groups examined after all adjustments.

To date, the HPS has not been analyzed to predict the type of full-time informal caregiving performed during the COVID-19 pandemic or their characteristics. Research limitations of this analysis include the cross-sectional, experimental dataset employed, as well as some variable measurement issues.

Prior informal caregiver research has often focused on the experiences of those caring for older adults or children with special healthcare needs. It may be instructive to learn whether and how informal caregivers excluded from paid employment during infectious disease outbreaks vary in meaningful ways from those engaged in other full-time caregiving. Because COVID-19 magnified equity concerns, examining demographic differences may also facilitate customization of pathways to post-caregiving workforce integration.

This study analyzes the desires and behavioral intentions of tourists within the scope of perception of COVID-19 and nonpharmaceutical intervention during the COVID-19 pandemic.

The population of the research consists of people on a touristic trip in Turkey. Because of the pandemic, questionnaire data was collected online between 25 April and 15 May 2020. The research was carried out with 712 questionnaire forms. The data obtained were analyzed by structural equation modeling in the SM-PLS statistics program.

Perception of COVID-19 significantly and positively affects NPI and negatively and significantly affects desire. Perception of COVID-19 and NPI do not have a significant positive/negative effect on behavioral intention. Finally, desire has a significantly positive effect on behavioral intention.

Since the research has limitations in terms of time, cost, accessibility and control difficulties, the entire population could not be reached. The study was carried out with only 712 tourists traveling in Turkey.

The obtained results will impact, particularly the decisions taken in Turkey's tourism sector. Moreover, if tourism companies know the decisions of the consumers during the pandemic process, they can use the appropriate marketing techniques.

The result may give an idea about the decision-making process of the consumers on traveling during the pandemic. In this way, psychologically different research can be developed.

There has not been any study made in Turkey that investigated the context of the current research model. Therefore, this research is original.

The study aims to showcase public sentiments via social media, Twitter, during 2014 floods of Jammu and Kashmir, India.

The study is based on content analysis of tweets related to Kashmir floods. Search was performed with “#kashmirfloods” and was confined to tweets posted from 4 September 2014 through 3 November 2014. A naturalistic approach was applied to examine the content and classify tweets into 5 major and 25 sub categories. Data as such collected were tabulated in SPSS 21 for analysis.

During the study period, individuals, news channels, and organisations posted a total of 36,697 tweets related to Kashmir floods. It all started with an outburst of tweets which goes on declining (exponentially) with every passing day. People express themselves in a number of ways with informational tweets used more during the time of disaster. Individuals expressing their sentiments outscore other types of sentiments with text-based tweets ranking high. About 44 per cent of tweets were retweeted, and nearly 31 per cent tweets were marked favourite. Comparatively, more number of informational and help tweets were retweeted or marked favourite. Contextual richness of tweet (i.e. number of embedded expressions) enhances its visibility by means of getting liked and/or retweeted. A statistically significant positive association is observed between the number of expressions in a tweet and the number of times it is liked (favourite) or retweeted.

Twitter plays a pivotal role during natural calamities like Kashmir floods to connect people in the hour of need and help. It provides a platform where the plight of people is heard across the globe and which encourages people to unite and overcome hurdles together.

This study examines the sentiments of people expressed during Jammu and Kashmir (India) Floods 2014 on social media – Twitter.

The need to optimize and simulate lithium-ion cells is of high importance to their durability. It is possible to use semi-empirical models based on equivalent circuits to model the dynamic behavior. Still, parameter identification is a time consuming task if many equivalent circuits are coupled into a finite element-based simulation. The paper aims to discuss these issues.

In this paper the authors present an approach to estimate parameters in a very efficient way by using a single equivalent circuit model as a surrogate model on measurement data. The results of the surrogate model are periodically linked back to the original complex model via the so called space mapping method. The authors validate the approach and compare it to the original problem.

As a remarkable result, the authors report the achieved reduction of computational cost by approximately 87 percent, which equals a speed up factor of 8.

To the best of the authors’ knowledge, using high and low fidelity semi-empirical models combined with space mapping is new in the field of electrical modeling of lithium-ion cells. This approach saves much time in parameterization of coupled models while maintaining high quality results for geometrical and thermal optimization of lithium-ion cells.