- Liquid Crystal Research Advancements
- Photonic Crystals and Applications
- COVID-19 epidemiological studies
- COVID-19 diagnosis using AI
- Photochromic and Fluorescence Chemistry
- Opinion Dynamics and Social Influence
- Advanced Surface Polishing Techniques
- Artificial Intelligence in Healthcare
- COVID-19 and Mental Health
- Complex Network Analysis Techniques
- Data-Driven Disease Surveillance
- Surface Roughness and Optical Measurements
- Combustion and Detonation Processes
- Misinformation and Its Impacts
- Nonlinear Optical Materials Studies
- Electroconvulsive Therapy Studies
- COVID-19 Digital Contact Tracing
- Dental Research and COVID-19
- Supply Chain Resilience and Risk Management
- Child and Adolescent Psychosocial and Emotional Development
- Neurological and metabolic disorders
- Fire dynamics and safety research
- Force Microscopy Techniques and Applications
- Alcoholism and Thiamine Deficiency
- Business Process Modeling and Analysis
University of Oxford
1994-2022
Rutgers, The State University of New Jersey
2011-2012
Diamond Light Source
2009-2010
A Test beamline B16 has been built on the 3 GeV Diamond synchrotron radiation source. The covers a wide photon energy range from 2 to 25 keV. is highly flexible and versatile in terms of available beam size (a micron 100 mm) resolution flux; by virtue its several operational modes, different inter‐changeable instruments experiments hutch. Diverse experimental configurations can be flexibly configured using five‐circle diffractometer, optics test bench, suite detectors. Several techniques...
Abstract We explore the potential and practical challenges in use of artificial intelligence (AI) cyber risk analytics, for improving organisational resilience understanding risk. The research is focused on identifying role AI connected devices such as Internet Things (IoT) devices. Through literature review, we identify wide ranging creative methodologies analytics risks deliberately influencing or disrupting behaviours to socio-technical systems. This resulted modelling connections...
We study composites of mainly room temperature nematic cyanobiphenyl liquid crystals (nCB with n = 5, 6, 7, and 8) gold nanoparticles (GNP). report that doped GNP dramatically affects the material and, consequently, display parameters mesophase stability 5CB, 6CB, 7CB homologues, while no homogeneous dispersion occurs in 8CB homologue. several values switching voltages times a few lower than those for pure nematics, broader operational thermal range, which makes them good candidates...
Abstract We have reported in our previous work that doping low concentrations (up to 10% by weight) of gold nanoparticles (GNP) a polar nematic 4'-hexyl-4-biphenylcarbonitrile (HBPCN) increases the dielectric anisotropy, while switching voltage and times, nematic–isotropic liquid (IL) transition point mixtures are not affected doped nanoparticles. In current we extend study behaviour HBPCN with higher than GNP. show at certain – 35% 45% nematic–IL phase 15°C comparison pure value. At same...
The proper performance of electro-optical devices utilising liquid crystals (LCs) requires materials with high diffraction efficiency, i.e. optical/dielectric anisotropy, low threshold voltage and fast switching. One can achieve increase dielectric anisotropy by using chemical synthesis or mixing LC materials. However, in most cases, this causes an the switching times. Therefore obtaining keeping times is a challenging task. We achieved promising results making binary mixtures polar nematic...
Views Icon Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Twitter Facebook Reddit LinkedIn Tools Reprints and Permissions Cite Search Site Citation S. P. Collins, A. Bombardi, R. Marshall, J. H. Williams, G. Barlow, Day, M. Pearson, Woolliscroft, D. Walton, Beutier, Nisbet; Diamond Beamline I16 (Materials Magnetism). AIP Conference Proceedings 23 June 2010; 1234 (1): 303–306. https://doi.org/10.1063/1.3463196 Download citation file: Ris (Zotero) Reference...
We studied the dispersion of up to 20 wt% gold nanoparticles (GNP) in a room temperature nematic: cyanobiphenyl homologue 4′-pentyl-4-biphenylcarbonitrile (PBPCN or 5CB). At 15% GNP, threshold voltage decreases 1.2 times its value for pure nematic and switching-off time by factor three. show that this decrease display parameters is caused 1.8 dielectric anisotropy, 1.3 change average elastic parameter, about 4.6 rotational viscosity. The doped GNP did not affect thermal stability material's...
The following paper reviews our study of the dispersion gold nanoparticles (GNPs) in different homologues cyanobiphenyl (CB) liquid crystals (nCB with n = 5, 6, 7). We show that doped GNPs dramatically affect material, and consequently display parameters mesophase stability these mainly room temperature nematics. report several at certain GNP percentages their values a few times lower than for pure nematics, switching voltages times, broader operational thermal range. These materials are...
In this article, we conduct data mining and statistical analysis on the most effective countries, universities, companies, based their output (e.g., produced or collaborated) COVID-19 during first wave of pandemic. Hence, focus article is While in later stages pandemic, US UK performed best terms vaccine production, initial few months The presents findings from our analysing all available records Web Science Core Collection. results are compared with pandemics epidemics 1900 to 2020. This...
Objectives: Review, compare and critically assess digital technology responses to the COVID-19 pandemic around world. The specific point of interest in this research is on predictive, preventive personalised interoperable healthcare solutions. This supported by failures from past, where separate design health solutions, has led lack interoperability. Hence, review paper investigates integration systems. second use new mass surveillance technologies feed personal data professionals...
Background and aims:COVID-19 is a global pandemic that requires integrated response of all national medical healthcare systems. COVID-19 exposed the need for timely data sharing on fast spreading pandemics. In this study, we investigate scientific research from early stages pandemic, review key findings how warning systems developed in previous epidemics responded to contain virus. Methods We conducted mining literature records Web Science Core Collection, using topics COVID-19, mortality,...
In this article, we conduct data mining to discover the countries, universities and companies, produced or collaborated most research on Covid-19 since pandemic started. We present some interesting findings, but despite analysing all available records COVID-19 from Web of Science Core Collection, failed reach any significant conclusions how world responded pandemic. Therefore, increased our analysis include pandemics epidemics 1900 2020. results that in epidemics. Then compared with records....
In this article, we conduct data mining to discover the countries, universities and companies, produced or collaborated most research on Covid-19 since pandemic started. We present some interesting findings, but despite analysing all available records COVID-19 from Web of Science Core Collection, failed reach any significant conclusions how world responded pandemic. Therefore, increased our analysis include pandemics epidemics 1900 2020. results that in epidemics. Then compared with records....
When people interact through technical infrastructure such as that of organisations or the World Wide Web, this will change and in some cases new identifiable structures even eco-systems may emerge. Examples emergent socio-technical systems on Web include social machines phenomena echo chambers. To model these complex we develop a method for formalising moments, occasions, experience an individual person by contriving 'chemistry' encoding possible sequences their external stimuli, internal...
Web science researchers identify social structures that form as content is shared on media. These channel the flow of and resulting experiences ideas, feelings actions. The human drive to seek shapes can tend toward homogeneity interest, beliefs even moment-by-moment experience. Improved modelling tools are needed understand ecosystems formed by these processes.