Institution
King Abdullah University of Science and Technology
Education•Jeddah, Saudi Arabia•
About: King Abdullah University of Science and Technology is a education organization based out in Jeddah, Saudi Arabia. It is known for research contribution in the topics: Catalysis & Membrane. The organization has 6221 authors who have published 22019 publications receiving 625706 citations. The organization is also known as: KAUST.
Topics: Catalysis, Membrane, Computer science, Fading, Population
Papers published on a yearly basis
Papers
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TL;DR: In conclusion, microbial community response revealed a measurable footprint of anthropogenic impacts to coral ecosystems close to Jeddah, even though the corals appeared visually healthy.
179 citations
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30 Nov 2009
TL;DR: This paper analyzes the fading statistics of a generic fading distribution, termed the N-product Generalized Nakagami-m (GNM) distribution, constructed as the product of the power of N statistically independent and non-identically distributed GNM random variables, for the purpose of modeling the cascaded fading channels.
Abstract: In this paper, we analyze the fading statistics of a generic fading distribution, termed the N-product Generalized Nakagami-m (GNM) distribution (N*GNM distribution), constructed as the product of the power of N statistically independent and non-identically distributed GNM random variables, for the purpose of modeling the cascaded fading channels. In particular, using the Fox's H function, we derive the probability density function, the cumulative distribution function, the moment generating function and the moments of such channels in closed-form. These derived results are a convenient tool to statistically model the cascaded GNM fading channels and to analyze the performance of digital communication systems over these kinds of channels. As such, generic closed-form expressions for the amount of fading, the outage probability, the capacity, the outage capacity and the average bit error probabilities of digital communications systems over cascaded GNM fading channels are presented. Numerical and simulation results, performed to verify the correctness of the proposed formulation, are in perfect agreement.
179 citations
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University of New South Wales1, University of California, San Diego2, University of Auckland3, UPRRP College of Natural Sciences4, Wageningen University and Research Centre5, Shanghai Jiao Tong University6, National University of Ireland, Galway7, Victoria University of Wellington8, University of Notre Dame9, Paul Sabatier University10, University of Alabama11, Institut national de la recherche agronomique12, University of Haifa13, Australian Institute of Marine Science14, Tel Aviv University15, University of North Carolina at Wilmington16, University of Oldenburg17, University of British Columbia18, Stony Brook University19, University of Lisbon20, University of Maryland Center for Environmental Science21, King Abdullah University of Science and Technology22, Leibniz Institute of Marine Sciences23, University of Queensland24
TL;DR: This dataset represents a comprehensive resource of sponge-associated microbial communities based on 16S rRNA gene sequences that can be used to address overarching hypotheses regarding host-associated prokaryotes, including host specificity, convergent evolution, environmental drivers of microbiome structure, and the sponge- associated rare biosphere.
Abstract: Marine sponges (phylum Porifera) are a diverse, phylogenetically deep-branching clade known for forming intimate partnerships with complex communities of microorganisms. To date, 16S rRNA gene sequencing studies have largely utilised different extraction and amplification methodologies to target the microbial communities of a limited number of sponge species, severely limiting comparative analyses of sponge microbial diversity and structure. Here, we provide an extensive and standardised dataset that will facilitate sponge microbiome comparisons across large spatial, temporal, and environmental scales. Samples from marine sponges (n = 3569 specimens), seawater (n = 370), marine sediments (n = 65) and other environments (n = 29) were collected from different locations across the globe. This dataset incorporates at least 268 different sponge species, including several yet unidentified taxa. The V4 region of the 16S rRNA gene was amplified and sequenced from extracted DNA using standardised procedures. Raw sequences (total of 1.1 billion sequences) were processed and clustered with (i) a standard protocol using QIIME closed-reference picking resulting in 39 543 operational taxonomic units (OTU) at 97% sequence identity, (ii) a de novo clustering using Mothur resulting in 518 246 OTUs, and (iii) a new high-resolution Deblur protocol resulting in 83 908 unique bacterial sequences. Abundance tables, representative sequences, taxonomic classifications, and metadata are provided. This dataset represents a comprehensive resource of sponge-associated microbial communities based on 16S rRNA gene sequences that can be used to address overarching hypotheses regarding host-associated prokaryotes, including host specificity, convergent evolution, environmental drivers of microbiome structure, and the sponge-associated rare biosphere.
179 citations
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TL;DR: Mapping a moiré pattern in a lateral lattice-mismatched WSe2–MoS2 heterojunction enables determination of the full strain tensor and the study of strain-induced electronic properties.
Abstract: Monolayer transition metal dichalcogenide heterojunctions, including vertical and lateral p–n junctions, have attracted considerable attention due to their potential applications in electronics and optoelectronics. Lattice-misfit strain in atomically abrupt lateral heterojunctions, such as WSe2–MoS2, offers a new band-engineering strategy for tailoring their electronic properties. However, this approach requires an understanding of the strain distribution and its effect on band alignment. Here, we study a WSe2–MoS2 lateral heterojunction using scanning tunnelling microscopy and image its moire pattern to map the full two-dimensional strain tensor with high spatial resolution. Using scanning tunnelling spectroscopy, we measure both the strain and the band alignment of the WSe2–MoS2 lateral heterojunction. We find that the misfit strain induces type II to type I band alignment transformation. Scanning transmission electron microscopy reveals the dislocations at the interface that partially relieve the strain. Finally, we observe a distinctive electronic structure at the interface due to hetero-bonding. Mapping a moire pattern in a lateral lattice-mismatched WSe2–MoS2 heterojunction enables determination of the full strain tensor and the study of strain-induced electronic properties.
179 citations
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TL;DR: High quality, ab-initio electronic structure calculations confirm the stability of a regular packing of (Cu++)2- carboxylate paddle-wheel planes with P4 symmetry and reveal, that the SURMOF-2 structures are in fact metastable, with a fairly large activation barrier for the transition to the bulk MOF- 2 structures exhibiting a lower, twofold (P2 or C2) symmetry.
Abstract: A novel class of metal organic frameworks (MOFs) has been synthesized from Cu-acetate and dicarboxylic acids using liquid phase epitaxy. The SURMOF-2 isoreticular series exhibits P4 symmetry, for the longest linker a channel-size of 3 × 3 nm2 is obtained, one of the largest values reported for any MOF so far. High quality, ab-initio electronic structure calculations confirm the stability of a regular packing of (Cu++)2- carboxylate paddle-wheel planes with P4 symmetry and reveal, that the SURMOF-2 structures are in fact metastable, with a fairly large activation barrier for the transition to the bulk MOF-2 structures exhibiting a lower, twofold (P2 or C2) symmetry. The theoretical calculations also allow identifying the mechanism for the low-temperature epitaxial growth process and to explain, why a synthesis of this highly interesting, new class of high-symmetry, metastable MOFs is not possible using the conventional solvothermal process.
178 citations
Authors
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Name | H-index | Papers | Citations |
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Jian-Kang Zhu | 161 | 550 | 105551 |
Jean M. J. Fréchet | 154 | 726 | 90295 |
Kevin Murphy | 146 | 728 | 120475 |
Jean-Luc Brédas | 134 | 1026 | 85803 |
Carlos M. Duarte | 132 | 1173 | 86672 |
Kazunari Domen | 130 | 908 | 77964 |
Jian Zhou | 128 | 3007 | 91402 |
Tai-Shung Chung | 119 | 879 | 54067 |
Donal D. C. Bradley | 115 | 652 | 65837 |
Lain-Jong Li | 113 | 627 | 58035 |
Hong Wang | 110 | 1633 | 51811 |
Peng Wang | 108 | 1672 | 54529 |
Juan Bisquert | 107 | 450 | 46267 |
Jian Zhang | 107 | 3064 | 69715 |
Karl Leo | 104 | 832 | 42575 |