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Institution

University of Liverpool

EducationLiverpool, United Kingdom
About: University of Liverpool is a education organization based out in Liverpool, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 40406 authors who have published 94388 publications receiving 3188970 citations. The organization is also known as: Liverpool University & The University of Liverpool.


Papers
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Journal ArticleDOI
TL;DR: It is demonstrated that covalently bonded organic cages can assemble into crystalline microporous materials and design principles for responsive porous organic solids and for the modular construction of extended materials from prefabricated molecular pores are suggested.
Abstract: Porous materials are important in a wide range of applications including molecular separations and catalysis. We demonstrate that covalently bonded organic cages can assemble into crystalline microporous materials. The porosity is prefabricated and intrinsic to the molecular cage structure, as opposed to being formed by non-covalent self-assembly of non-porous sub-units. The three-dimensional connectivity between the cage windows is controlled by varying the chemical functionality such that either non-porous or permanently porous assemblies can be produced. Surface areas and gas uptakes for the latter exceed comparable molecular solids. One of the cages can be converted by recrystallization to produce either porous or non-porous polymorphs with apparent Brunauer–Emmett–Teller surface areas of 550 and 23 m2 g-1, respectively. These results suggest design principles for responsive porous organic solids and for the modular construction of extended materials from prefabricated molecular pores.

857 citations

Journal ArticleDOI
TL;DR: It is suggested that the NPT can act as a sensitising tool, enabling researchers to think through issues of implementation while designing a complex intervention and its evaluation, and may improve trial design by highlighting potential problems with recruitment or data collection.
Abstract: The past decade has seen considerable interest in the development and evaluation of complex interventions to improve health. Such interventions can only have a significant impact on health and health care if they are shown to be effective when tested, are capable of being widely implemented and can be normalised into routine practice. To date, there is still a problematic gap between research and implementation. The Normalisation Process Theory (NPT) addresses the factors needed for successful implementation and integration of interventions into routine work (normalisation). In this paper, we suggest that the NPT can act as a sensitising tool, enabling researchers to think through issues of implementation while designing a complex intervention and its evaluation. The need to ensure trial procedures that are feasible and compatible with clinical practice is not limited to trials of complex interventions, and NPT may improve trial design by highlighting potential problems with recruitment or data collection, as well as ensuring the intervention has good implementation potential. The NPT is a new theory which offers trialists a consistent framework that can be used to describe, assess and enhance implementation potential. We encourage trialists to consider using it in their next trial.

857 citations

Journal ArticleDOI
TL;DR: It is argued that biases in this cycle cause negative events to be attributed to external agents and hence contribute to the building of a paranoid world view, and a new integrative model is proposed that builds on this work.

853 citations

Journal ArticleDOI
Zhenqiang Su, Paweł P. Łabaj1, Sheng Li2, Jean Thierry-Mieg3  +161 moreInstitutions (54)
TL;DR: The complete SEQC data sets, comprising >100 billion reads, provide unique resources for evaluating RNA-seq analyses for clinical and regulatory settings, and measurement performance depends on the platform and data analysis pipeline, and variation is large for transcript-level profiling.
Abstract: We present primary results from the Sequencing Quality Control (SEQC) project, coordinated by the US Food and Drug Administration. Examining Illumina HiSeq, Life Technologies SOLiD and Roche 454 platforms at multiple laboratory sites using reference RNA samples with built-in controls, we assess RNA sequencing (RNA-seq) performance for junction discovery and differential expression profiling and compare it to microarray and quantitative PCR (qPCR) data using complementary metrics. At all sequencing depths, we discover unannotated exon-exon junctions, with >80% validated by qPCR. We find that measurements of relative expression are accurate and reproducible across sites and platforms if specific filters are used. In contrast, RNA-seq and microarrays do not provide accurate absolute measurements, and gene-specific biases are observed for all examined platforms, including qPCR. Measurement performance depends on the platform and data analysis pipeline, and variation is large for transcript-level profiling. The complete SEQC data sets, comprising >100 billion reads (10Tb), provide unique resources for evaluating RNA-seq analyses for clinical and regulatory settings.

853 citations

Journal ArticleDOI
TL;DR: The number of distinct gene products, together with the presence of several different transporters in certain tissues and cells, indicates that glucose delivery into cells is a process of considerable complexity.
Abstract: The number of known glucose transporters has expanded considerably over the past 2 years At least three, and up to six, Na+-dependent glucose transporters (SGLT1-SGLT6; gene name SLC5A) have been identified Similarly, thirteen members of the family of facilitative sugar transporters (GLUT1-GLUT12 and HMIT; gene name SLC2A) are now recognised These various transporters exhibit different substrate specificities, kinetic properties and tissue expression profiles The number of distinct gene products, together with the presence of several different transporters in certain tissues and cells (for example, GLUT1, GLUT4, GLUT5, GLUT8, GLUT12 and HMIT in white adipose tissue), indicates that glucose delivery into cells is a process of considerable complexity

852 citations


Authors

Showing all 40921 results

NameH-indexPapersCitations
Lei Jiang1702244135205
Gregory Y.H. Lip1693159171742
Ian J. Deary1661795114161
Nicholas J. White1611352104539
Tomas Hökfelt158103395979
William J. Sutherland14896694423
Tommaso Dorigo1411806104276
Paul Jackson141137293464
Andrew Askew140149699635
Stephen Wimpenny1381489104084
Robin Erbacher1381721100252
Andrew Mehta1371444101810
Tim Jones135131491422
Christophe Delaere135132096742
Sinead Farrington133142291099
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023181
2022831
20215,824
20205,510
20194,735
20184,177