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Institution

Dublin City University

EducationDublin, Ireland
About: Dublin City University is a education organization based out in Dublin, Ireland. It is known for research contribution in the topics: Machine translation & Laser. The organization has 5904 authors who have published 17178 publications receiving 389376 citations. The organization is also known as: National Institute for Higher Education, Dublin & DCU.


Papers
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Journal ArticleDOI
01 Feb 2012-Methods
TL;DR: The approaches used for antibody purification are critically examined with the aim of providing the reader with the principles and practical insights required to understand the intricacies of the procedures.

161 citations

Journal ArticleDOI
TL;DR: In this article, a comparison of sorption isotherms and sorption kinetics of chitosan derivatives with those of glutaraldehyde cross-linked chitosa is made.
Abstract: Palladium is efficiently extracted from dilute acidic solutions using chitosan derivatives. Sorption performances are enhanced by modification of chitosan through the grafting of sulfur compounds (thiourea, rubeanic acid), which creates new chelating groups, on chitosan backbone using glutaraldehyde as a linker. A comparison of sorption isotherms and sorption kinetics of these two derivatives with those of glutaraldehyde cross-linked chitosan shows that the rubeanic acid derivative of chitosan is the more efficient for the uptake of palladium from dilute solutions. The chemical modification is suspected of bringing chelating functionalities to the ion exchange resin. Sorption capacity is not influenced by the particle size of rubeanic acid derivative of chitosan. Sorption isotherms are described by the Langmuir equation. Increasing the temperature of the solution has little effect on sorption performances. Sorption kinetics are not greatly influenced by the particle size of the sorbent.

161 citations

Journal ArticleDOI
TL;DR: Recommendations are provided for narrowing the m‐health digital divide through inclusive design and educational efforts to improve self‐efficacy, develop privacy literacy, and build trust, thereby ensuring that older citizens are both capable and willing to adopt.
Abstract: Mobile health (m-health) technologies offer many benefits to individuals, organizations, and health professionals alike. Indeed, the utilization of m-health by older adults can foster the development of proactive patients, while also reducing financial burden and resource pressures on health systems. However, the potentially transformative influence of m-health is limited as many older adults resist adoption leading to the emergence of an age-based digital divide. This study leverages protection motivation theory and social cognitive theory to explore the factors driving resistance among older adults. This mixed methods study integrates survey findings with insights from qualitative interviews to highlight that the m-health digital divide is deepening due to older adults’ perceived inability to adopt, and their unwillingness to adopt stemming from mistrust, high risk perceptions, and strong desire for privacy. The paper contributes to the privacy and social inclusion literature by demonstrating that while many older adults have access to m-health, they are currently excluded, and require careful consideration by technology organizations and researchers. The study provides recommendations for narrowing the m-health digital divide through inclusive design and educational efforts to improve self-efficacy, develop privacy literacy, and build trust, thereby ensuring older citizens are both capable, and willing to adopt

160 citations

Journal ArticleDOI
TL;DR: There was no standardised isokinetic protocol following ACLR; iskinetic strength measures have not been validated as useful predictors of successful RTS, and a standard protocol is proposed to allow consistency of testing and accurate comparison of future research.
Abstract: Introduction Following anterior cruciate ligament reconstruction (ACLR), strength is a key variable in regaining full function of the knee. Isokinetic strength is commonly used as part of the return to sport (RTS) criteria. Aim We systematically reviewed the isokinetic strength evaluation protocols that are currently being used following ACLR. A secondary aim was to suggest an isokinetic protocol that could meet RTS criteria. Method Articles were searched using ScienceDirect, PubMed and Sage Journals Online, combined with cross-checked reference lists of the publications. Protocol data and outcome measurements and RTS criteria were extracted from each article included in the review. Results 39 studies met the inclusion criteria and reported their isokinetic strength evaluation protocol following ACLR. The variables that were most commonly used were concentric/concentric mode of contraction (31 studies), angular velocity of 60°/s (29 studies), 3–5 repetitions (24 studies), range of motion of 0–90° (6 studies), and using gravity correction (9 studies). 8 studies reported strength limb symmetry index scores as part of their RTS criteria. Conclusions There was no standardised isokinetic protocol following ACLR; isokinetic strength measures have not been validated as useful predictors of successful RTS. We propose a standard protocol to allow consistency of testing and accurate comparison of future research.

160 citations

Journal ArticleDOI
TL;DR: Evidence of significant growth in both returns and volumes traded is found, indicating that large cryptocurrencies acted as a store of value during this period of exceptional financial market stress, and results suggest that these digital assets acting as a safe-haven similar to that of precious metals during historic crises.

160 citations


Authors

Showing all 6059 results

NameH-indexPapersCitations
Joseph Wang158128298799
David Cameron1541586126067
David Taylor131246993220
Gordon G. Wallace114126769095
David A. Morrow11359856776
G. Hughes10395746632
David Wilson10275749388
Muhammad Imran94305351728
Haibo Zeng9460439226
David Lloyd90101737691
Vikas Kumar8985939185
Luke P. Lee8441322803
James Chapman8248336468
Muhammad Iqbal7796123821
Michael C. Berndt7622816897
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202367
2022261
20211,110
20201,177
20191,030
2018935