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Institution

University of New South Wales

EducationSydney, New South Wales, Australia
About: University of New South Wales is a education organization based out in Sydney, New South Wales, Australia. It is known for research contribution in the topics: Population & Poison control. The organization has 51197 authors who have published 153634 publications receiving 4880608 citations. The organization is also known as: UNSW & UNSW Australia.


Papers
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Journal ArticleDOI
TL;DR: This work conceptualized Internet-supported interventions, using four categories based on prime practice approaches: web-based interventions, online counseling and therapy, Internet-operated therapeutic software, and other online activities (e.g., as supplements to face-to-face therapy).
Abstract: Background The field of Internet-supported therapeutic interventions has suffered from a lack of clarity and consistency. The absence of professional leadership and of accepted governing approaches, terminology, professional standards, and methodologies has caused this field to be diffused and unstructured. Numerous terms have been used to label and describe the activities conducted over the Internet for mental and physical health purposes: web-based therapy, e-therapy, cybertherapy, eHealth, e-Interventions, computer-mediated interventions, and online therapy (or counseling), among others.

605 citations

Journal ArticleDOI
TL;DR: In this article, a review of recent progress in phosphorene research is presented, touching upon topics on fabrication, properties, and applications; they also discuss challenges and future research directions.
Abstract: Phosphorene, the single- or few-layer form of black phosphorus, was recently rediscovered as a two-dimensional layered material holding great promise for applications in electronics and optoelectronics. Research into its fundamental properties and device applications has since seen exponential growth. In this Perspective, we review recent progress in phosphorene research, touching upon topics on fabrication, properties, and applications; we also discuss challenges and future research directions. We highlight the intrinsically anisotropic electronic, transport, optoelectronic, thermoelectric, and mechanical properties of phosphorene resulting from its puckered structure in contrast to those of graphene and transition-metal dichalcogenides. The facile fabrication and novel properties of phosphorene have inspired design and demonstration of new nanodevices; however, further progress hinges on resolutions to technical obstructions like surface degradation effects and nonscalable fabrication techniques. We also briefly describe the latest developments of more sophisticated design concepts and implementation schemes that address some of the challenges in phosphorene research. It is expected that this fascinating material will continue to offer tremendous opportunities for research and development for the foreseeable future.

605 citations

Journal ArticleDOI
TL;DR: Cognitive load theory was introduced in the 1980s as an instructional design theory based on several uncontroversial aspects of human cognitive architecture as discussed by the authors, which had a limited impact on the field of instructional design with most instructional design recommendations proceeding as though working memory and long-term memory did not exist.
Abstract: Cognitive load theory was introduced in the 1980s as an instructional design theory based on several uncontroversial aspects of human cognitive architecture. Our knowledge of many of the characteristics of working memory, long-term memory and the relations between them had been well-established for many decades prior to the introduction of the theory. Curiously, this knowledge had had a limited impact on the field of instructional design with most instructional design recommendations proceeding as though working memory and long-term memory did not exist. In contrast, cognitive load theory emphasised that all novel information first is processed by a capacity and duration limited working memory and then stored in an unlimited long-term memory for later use. Once information is stored in long-term memory, the capacity and duration limits of working memory disappear transforming our ability to function. By the late 1990s, sufficient data had been collected using the theory to warrant an extended analysis resulting in the publication of Sweller et al. (Educational Psychology Review, 10, 251–296, 1998). Extensive further theoretical and empirical work have been carried out since that time and this paper is an attempt to summarise the last 20 years of cognitive load theory and to sketch directions for future research.

605 citations

Journal ArticleDOI
TL;DR: In this article, the bias parameter of the 2dFGRS data set was used to measure the strength of clustering of the galaxies relative to the mass in the universe, and it was shown that on large scales, optically selected galaxies do indeed trace the underlying mass distribution.
Abstract: We compute the bispectrum of the 2dF Galaxy Redshift Survey (2dFGRS) and use it to measure the bias parameter of the galaxies. This parameter quantifies the strength of clustering of the galaxies relative to the mass in the Universe. By analysing 80 x 10 6 triangle configurations in the wavenumber range 0.1 < k < 0.5 h Mpc - 1 (i.e. on scales roughly between 5 and 30 h - 1 Mpc) we find that the linear bias parameter is consistent with unity: b 1 = 1.04 ′ 0.11, and the quadratic (non-linear) bias is consistent with zero: b 2 = -0.054 ′ 0.08. Thus, at least on large scales, optically selected galaxies do indeed trace the underlying mass distribution. The bias parameter can be combined with the 2dFGRS measurement of the redshift distortion parameter β ≃ Ω 0 . 6 m /b 1 , to yield Ωm = 0.27 ′0.06 for the matter density of the Universe, a result that is determined entirely from this survey, independent of other data sets. Our measurement of the matter density of the Universe should be interpreted as Ω m at the effective redshift of the survey (z = 0.17).

604 citations

Journal ArticleDOI
TL;DR: The single-copy gene rpoB provided comparable phylogenetic resolution to that of the 16S rRNA gene at all taxonomic levels, except between closely related organisms (species and subspecies levels), for which it provided better resolution.
Abstract: Several characteristics of the 16S rRNA gene, such as its essential function, ubiquity, and evolutionary properties, have allowed it to become the most commonly used molecular marker in microbial ecology However, one fact that has been overlooked is that multiple copies of this gene are often present in a given bacterium These intragenomic copies can differ in sequence, leading to identification of multiple ribotypes for a single organism To evaluate the impact of such intragenomic heterogeneity on the performance of the 16S rRNA gene as a molecular marker, we compared its phylogenetic and evolutionary characteristics to those of the single-copy gene rpoB Full-length gene sequences and gene fragments commonly used for denaturing gradient gel electrophoresis were compared at various taxonomic levels Heterogeneity found between intragenomic 16S rRNA gene copies was concentrated in specific regions of rRNA secondary structure Such “heterogeneity hot spots” occurred within all gene fragments commonly used in molecular microbial ecology This intragenomic heterogeneity influenced 16S rRNA gene tree topology, phylogenetic resolution, and operational taxonomic unit estimates at the species level or below rpoB provided comparable phylogenetic resolution to that of the 16S rRNA gene at all taxonomic levels, except between closely related organisms (species and subspecies levels), for which it provided better resolution This is particularly relevant in the context of a growing number of studies focusing on subspecies diversity, in which single-copy protein-encoding genes such as rpoB could complement the information provided by the 16S rRNA gene

604 citations


Authors

Showing all 51897 results

NameH-indexPapersCitations
Ronald C. Kessler2741332328983
Nicholas G. Martin1921770161952
John C. Morris1831441168413
Richard S. Ellis169882136011
Ian J. Deary1661795114161
Nicholas J. Talley158157190197
Wolfgang Wagner1562342123391
Bruce D. Walker15577986020
Xiang Zhang1541733117576
Ian Smail15189583777
Rui Zhang1512625107917
Marvin Johnson1491827119520
John R. Hodges14981282709
Amartya Sen149689141907
J. Fraser Stoddart147123996083
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023389
20221,183
202111,342
202011,235
20199,891
20189,145