text:
---
---
@inproceedings{cao2022,
author={Junming Cao and Bihuan Chen and Chao Sun and Longjie Hu and Shuaihong Wu and Xin Peng},
booktitle={Proceedings of the 30th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Singapore, November 14-18, 2022},
title={Understanding Performance Problems in Deep Learning Systems},
year={2022},
publisher = {{ACM}},
abstract = {Deep learning (DL) has been widely applied to many domains. Unique challenges in engineering DL systems are posed by the programming paradigm shift from traditional systems to DL systems, and performance is one of the challenges. Performance problems (PPs) in DL systems can cause severe consequences such as excessive resource consumption and financial loss. While bugs in DL systems have been extensively investigated, PPs in DL systems have hardly been explored. To bridge this gap, we present the first comprehensive study to i) characterize symptoms, root causes, and introducing and exposing stages of PPs in DL systems developed in TensorFLow and Keras, with 224 PPs collected from 210 StackOverflow posts, and to ii) assess the capability of existing performance analysis approaches in tackling PPs,
with a constructed benchmark of 58 PPs in DL systems. Our findings shed light on the implications on developing high-performance DL systems, and detecting and localizing PPs in DL systems. To demonstrate the usefulness of our findings, we develop a static checker DeepPerf to detect three types of PPs. It has detected 488 new PPs in 130 GitHub projects. 105 and 27 PPs have been confirmed and fixed},
abbr = {ESEC/FSE},
selected = {true},
pdf = {dlperf.pdf},
code = {https://dlperf.github.io/},
demo = {https://www.youtube.com/watch?v=7gefvzLxzY4},
}

@inproceedings{huang2022,
author={Kaifeng Huang and Bihuan Chen and Susheng Wu and Junmin Cao and Lei Ma and Xin Peng},
booktitle={arXiv preprint},
title={Demystifying Dependency Bugs in Deep Learning Stack},
year={2022},
publisher = {{arXiv preprint}},
abstract = {IR-based fault localization approaches achieves promising results when locating faulty files by comparing a bug report with source code. Unfortunately, they become less effective to locate faulty methods. We conduct a preliminary study to explore its challenges, and identify three problems: the semantic gap problem, the representation sparseness problem, and the single revision problem. To tackle these problems, we propose MRAM, a mixed RNN and attention model, which combines bug-fixing features and method structured features to explore both implicit and explicit relevance between methods and bug reports for method level fault localization task. The core ideas of our model are: (1) constructing code revision graphs from code, commits and past bug reports, which reveal the latent relations among methods to augment short methods and as well provide all revisions of code and past fixes to train more accurate models; (2) embedding three method structured features (token sequences, API invocation sequences, and comments) jointly with RNN and soft attention to represent source methods and obtain their implicit relevance with bug reports; and (3) integrating multirevision bug-fixing features, which provide the explicit relevance between bug reports and methods, to improve the performance. We have implemented MRAM and conducted a controlled experiment on five open-source projects. Comparing with stateof-the-art approaches, our MRAM improves MRR values by 3.8- 5.1% (3.7-5.4%) when the dataset contains (does not contain) localized bug reports. Our statistics test shows that our improvements are significant},
selected = {true},
abbr = {arXiv},
pdf = {dlstack.pdf},
code = {https://dl-dep.github.io/},
}

@inproceedings{yang2021lo,
author={Shouliang Yang and Junming Cao and Hushuang Zeng and Beijun Shen and Hao Zhong},
booktitle={29th International Conference on Program Comprehension, Virtual, May 18-21, 2021},
title={Locating Faulty Methods with a Mixed RNN and Attention Model},
year={2021},
pages={10--21},
publisher = {{IEEE/ACM}},
abstract = {IR-based fault localization approaches achieves promising results when locating faulty files by comparing a bug report with source code. Unfortunately, they become less effective to locate faulty methods. We conduct a preliminary study to explore its challenges, and identify three problems: the semantic gap problem, the representation sparseness problem, and the single revision problem. To tackle these problems, we propose MRAM, a mixed RNN and attention model, which combines bug-fixing features and method structured features to explore both implicit and explicit relevance between methods and bug reports for method level fault localization task. The core ideas of our model are: (1) constructing code revision graphs from code, commits and past bug reports, which reveal the latent relations among methods to augment short methods and as well provide all revisions of code and past fixes to train more accurate models; (2) embedding three method structured features (token sequences, API invocation sequences, and comments) jointly with RNN and soft attention to represent source methods and obtain their implicit relevance with bug reports; and (3) integrating multirevision bug-fixing features, which provide the explicit relevance between bug reports and methods, to improve the performance. We have implemented MRAM and conducted a controlled experiment on five open-source projects. Comparing with stateof-the-art approaches, our MRAM improves MRR values by 3.8- 5.1% (3.7-5.4%) when the dataset contains (does not contain) localized bug reports. Our statistics test shows that our improvements are significant},
abbr = {ICPC},
selected = {true},
pdf = {DNNLocator.pdf},
code = {https://github.com/OrthrusFL/MRAM},
}

@inproceedings{ASE20,
  author    = {Junming Cao and
               Shouliang Yang and
               Wenhui Jiang and
              Hushuang Zeng and
               Beijun Shen and
               Hao Zhong},
  title     = {BugPecker: Locating Faulty Methods with Deep Learning on Revision Graphs},
  booktitle = {35th {IEEE/ACM} International Conference on Automated Software Engineering,
               {ASE} 2020, New Idea Track, Virtual Event, Australia},
  abbr = {ASE},
  abstract = {Given a bug report of a project, the task of locating the faults of the bug report is called fault localization. To help programmers in the fault localization process, many approaches have been proposed, and have achieved promising results to locate faulty files. How- ever, it is still challenging to locate faulty methods, because many methods are short and do not have sufficient details to determine whether they are faulty. In this paper, we present BugPecker, a novel approach to locate faulty methods based on its deep learn- ing on revision graphs. Its key idea includes (1) building revision graphs and capturing the details of past fixes as much as possible, and (2) discovering relations inside our revision graphs to expand the details for methods and calculating various features to assist our ranking. We have implemented BugPecker, and evaluated it on three open source projects. The early results show that BugPecker achieves a mean average precision (MAP) of 0.263 and mean re- ciprocal rank (MRR) of 0.291, which improve the prior approaches significantly. For example, BugPecker improves the MAP values of all three projects by five times, compared with two recent ap- proaches such as DNNLoc-m and BLIA 1.5.},
  selected = {true},
  pages     = {1083--1087},
  publisher = {{IEEE}},
  doi =  {10.1145/3324884.3418934},
  year      = {2020},
  pdf = {BugPecker.pdf},
  code = {https://github.com/RAddRiceee/BugPecker},
}

@inproceedings{DBLP:conf/kbse/DuCWLSC19,
  author    = {Tianjiao Du and
               Junming Cao and
               Qinyue Wu and
               Wei Li and
               Beijun Shen and
               Yuting Chen},
  title     = {CocoQa: Question Answering for Coding Conventions Over Knowledge Graphs},
  booktitle = {34th {IEEE/ACM} International Conference on Automated Software Engineering,
               {ASE} 2019, Tool Demo Track, San Diego, CA, USA},
  abbr = {ASE},
  abstract = {Coding convention plays an important role in guaranteeing software quality. However, coding conventions are usually informally presented and inconvenient for programmers to use. In this paper, we present CocoQa, a system that answers programmer's questions about coding conventions. CocoQa answers questions by querying a knowledge graph for coding conventions. It employs 1) a subgraph matching algorithm that parses the question into a SPARQL query, and 2) a machine comprehension algorithm that uses an end-to-end neural network to detect answers from searched paragraphs. We have implemented CocoQa, and evaluated it on a coding convention QA dataset. The results show that CocoQa can answer questions about coding conventions precisely. In particular, CocoQa can achieve a precision of 82.92% and a recall of 91.10%. Repository: https://github.com/14dtj/CocoQa/ Video: https://youtu.be/VQaXi1WydAU.},
  selected = {true},
  pages     = {1086--1089},
  publisher = {{IEEE}},
  year      = {2019},
  url       = {https://doi.org/10.1109/ASE.2019.00108},
  pdf = {CocoQa.pdf},
  code = {https://github.com/14dtj/CocoQa},
  demo = {https://youtu.be/VQaXi1WydAU},
  doi       = {10.1109/ASE.2019.00108},
  timestamp = {Sun, 19 Jan 2020 15:19:48 +0100},
  biburl    = {https://dblp.org/rec/conf/kbse/DuCWLSC19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/seke/CaoDSLWC19,
  author    = {Junming Cao and
               Tianjiao Du and
               Beijun Shen and
               Wei Li and
               Qinyue Wu and
               Yuting Chen},
  editor    = {Angelo Perkusich},
  title     = {Constructing a Knowledge Base of Coding Conventions from Online Resources},
  booktitle = {The 31st International Conference on Software Engineering and Knowledge
               Engineering, {SEKE} 2019, Lisbon, Portugal},
  abbr = {SEKE},
  pages     = {5--14},
  publisher = {{KSI} Research Inc. and Knowledge Systems Institute Graduate School},
  year      = {2019},
  url       = {https://doi.org/10.18293/SEKE2019-123},
  doi       = {10.18293/SEKE2019-123},
  timestamp = {Wed, 14 Aug 2019 09:30:44 +0200},
  biburl    = {https://dblp.org/rec/conf/seke/CaoDSLWC19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/seke/NiSCMC19,
  author    = {Zeyu Ni and
               Beijun Shen and
               Yuting Chen and
               Zhangyuan Meng and
               Junming Cao},
  editor    = {Angelo Perkusich},
  title     = {CrowDevBot: {A} Task-Oriented Conversational Bot for Software Crowdsourcing
               Platforms},
  booktitle = {The 31st International Conference on Software Engineering and Knowledge
               Engineering, {SEKE} 2019, Lisbon, Portugal},
  abbr = {SEKE},
  pages     = {410--522},
  publisher = {{KSI} Research Inc. and Knowledge Systems Institute Graduate School},
  year      = {2019},
  url       = {https://doi.org/10.18293/SEKE2019-068},
  doi       = {10.18293/SEKE2019-068},
  timestamp = {Wed, 14 Aug 2019 09:30:44 +0200},
  biburl    = {https://dblp.org/rec/conf/seke/NiSCMC19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}


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license: MIT

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branch_name: refs/heads/master

extension: css


text:
require u-boot-omap3.inc

COMPATIBLE_MACHINE = "am37x-evm|am3517-evm"

BRANCH = "master"

# Use literal tags in SRCREV, when available, instead of commit IDs
SRCREV = "v2010.06_OMAPPSP_04.02.00.07"

UVER = "2010.06"
PSPREL = "04.02.00.07.sdk"

SRC_URI += " \
file://0001-omap3_evm-Added-function-calls-to-set-volts-speed-on.patch \
file://0002-omap3_evm-Changed-default-clock-rate-for-AM3517.patch \
file://0003-Set-ethaddr-environment-variable-and-program-the-EMA.patch \
"

SRC_URI_append_am37x-evm = " \
file://0001-omap3-evm-allocate-VRFB-buffer-in-bootargs-to-enable.patch \
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PR = "r3"

extension: bb


text:
@inproceedings{kunze2018augmented,
 author = {Kunze, Alexander and Summerskill, Stephen J and Marshall, Russell and Filtness, Ashleigh J},
 booktitle = {Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications},
 pages = {164--175},
 title = {Augmented reality displays for communicating uncertainty information in automated driving},
 year = {2018}
}

license: Unlicense,MIT

detected_licenses: Unlicense MIT

gha_license_id: NOASSERTION

extension: bib


text:
@article{lazarus2019prospective,
 author = {Lazarus, Cathy L and Ganz, Cindy and Ru, Meng and Miles, Brett A and Kotz, Tamar and Chai, Raymond L},
 journal = {Head & neck},
 number = {2},
 pages = {322--328},
 publisher = {John Wiley & Sons, Inc. Hoboken, USA},
 title = {Prospective instrumental evaluation of swallowing, tongue function, and QOL measures following transoral robotic surgery alone without adjuvant therapy},
 volume = {41},
 year = {2019}
}

repository: menaru/starter-academic

repo_name: menaru/starter-academic


text:
@article{Alvarado2020,
 abstract = {OBJECTIVE: Sugar-sweetened beverage (SSB) taxes have been implemented widely. We aimed to use a pre-existing nutritional survey data to inform SSB tax design by assessing: (1) baseline consumption of SSBs and SSB-derived free sugars, (2) the percentage of SSB-derived free sugars that would be covered by a tax and (3) the extent to which a tax would differentiate between high-sugar SSBs and low-sugar SSBs. We evaluated these three considerations using pre-existing nutritional survey data in a developing economy setting. METHODS: We used data from a nationally representative cross-sectional survey in Barbados (2012-2013, prior to SSB tax implementation). Data were available on 334 adults (25-64 years) who completed two non-consecutive 24-hour dietary recalls. We estimated the prevalence of SSB consumption and its contribution to total energy intake, overall and stratified by taxable status. We assessed the percentage of SSB-derived free sugars subject to the tax and identified the consumption-weighted sugar concentration of SSBs, stratified by taxable status. FINDINGS: Accounting for sampling probability, 88.8% of adults (95% CI 85.1 to 92.5) reported SSB consumption, with a geometric mean of 2.4 servings/day (±2 SD, 0.6, 9.2) among SSB consumers. Sixty percent (95% CI 54.6 to 65.4) of SSB-derived free sugars would be subject to the tax. The tax did not clearly differentiate between high-sugar beverages and low-sugar beverages. CONCLUSION: Given high SSB consumption, targeting SSBs was a sensible strategy in this setting. A substantial percentage of free sugars from SSBs were not covered by the tax, reducing possible health benefits. The considerations proposed here may help policymakers to design more effective SSB taxes.},
 article-pii = {bmjopen-2019-035981},
 author = {Alvarado, Miriam and Harris, Rachel and Rose, Angela and Unwin, Nigel and Hambleton, Ian and Imamura, Fumiaki and Adams, Jean},
 doi = {10.1136/bmjopen-2019-035981},
 electronic-issn = {2044-6055},
 electronic-publication = {20200910},
 history = {2020/09/12 06:00 [medline]},
 issue = {9},
 journal = {BMJ open},
 keywords = {*epidemiology, *health policy, *nutrition, *public health},
 language = {eng},
 linking-issn = {2044-6055},
 location-id = {e035981},
 month = {Sep},
 nlm-unique-id = {101552874},
 owner = {NLM},
 pages = {e035981},
 publication-status = {epublish},
 revised = {20201028},
 source = {BMJ Open. 2020 Sep 10;10(9):e035981. doi: 10.1136/bmjopen-2019-035981.},
 status = {In-Process},
 subset = {IM},
 termowner = {NOTNLM},
 title = {Using nutritional survey data to inform the design of sugar-sweetened beverage taxes in low-resource contexts: a cross-sectional analysis based on data from an adult Caribbean population.},
 title-abbreviation = {BMJ Open},
 volume = {10},
 year = {2020}
}


text:
@article{ ISI:000446089700001,
Author = {Li, Zhenhua and Li, Yanping and Bonsal, Barrie and Manson, Alan H. and
   Scaff, Lucia},
Title = {{Combined impacts of ENSO and MJO on the 2015 growing season drought on
   the Canadian Prairies}},
Journal = {{HYDROLOGY AND EARTH SYSTEM SCIENCES}},
Year = {{2018}},
Volume = {{22}},
Number = {{10}},
Pages = {{5057-5067}},
Month = {{OCT 1}},
Abstract = {{Warm-season precipitation on the Canadian Prairies plays a crucial role
   in agricultural production. This research investigates how the early
   summer 2015 drought across the Canadian Prairies is related to the
   tropical Pacific forcing. The significant deficit of precipitation in
   May and June 2015 coincided with a warm phase of the El Nino-Southern
   Oscillation (ENSO) and a negative phase of Madden-Julian Oscillation
   (MJO)-4 index, which favour a positive geopotential height (GPH) anomaly
   in western Canada. Our further investigation during the instrumental
   record (1979-2016) shows that warm-season precipitation in the Canadian
   Prairies and the corresponding atmospheric circulation anomalies over
   western Canada teleconnected with the lower boundary conditions in the
   tropical western Pacific. Our results indicate that MJO can play a
   crucial role in determining the summer precipitation anomaly in the
   western Canadian Prairies when the equatorial central Pacific is warmer
   than normal (NINO4 > 0) and MJO is more active. This teleconnection is
   due to the propagation of a stationary Rossby wave that is generated in
   the MJO-4 index region. When the tropical convection around MJO-4 index
   region (western tropical Pacific, centred over 140 degrees E) is more
   active than normal (NINO4 > 0), Rossby wave trains originate from the
   western Pacific with wavenumbers determined by the background mean wind
   and meridional absolute vorticity gradient. Under warm NINO4 conditions
   waves are generated with smaller wavenumbers compared to cold NINO4
   conditions. These waves under warm NINO4 can propagate into the
   mid-latitudes over North America, causing a persistent anomalous ridge
   in the upper level over western Canada, which favours dry conditions
   over the region.}},
Publisher = {{COPERNICUS GESELLSCHAFT MBH}},
Address = {{BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Li, ZH; Li, YP (Corresponding Author), Univ Saskatchewan, Global Inst Water Secur, Saskatoon, SK, Canada.
   Li, ZH (Corresponding Author), Univ Saskatchewan, Inst Space \& Atmospher Studies, Saskatoon, SK, Canada.
   Li, Zhenhua; Li, Yanping; Scaff, Lucia, Univ Saskatchewan, Global Inst Water Secur, Saskatoon, SK, Canada.
   Li, Zhenhua; Manson, Alan H., Univ Saskatchewan, Inst Space \& Atmospher Studies, Saskatoon, SK, Canada.
   Bonsal, Barrie, Environm \& Climate Change Canada, Natl Hydrol Res Ctr, Saskatoon, SK, Canada.}},
DOI = {{10.5194/hess-22-5057-2018}},
ISSN = {{1027-5606}},
EISSN = {{1607-7938}},
Keywords-Plus = {{MADDEN-JULIAN OSCILLATION; ROSSBY-WAVE PROPAGATION; EXTENDED DRY SPELLS;
   CIRCULATION; PRECIPITATION; PATTERNS; WESTERN; TELECONNECTIONS;
   VARIABILITY; ANOMALIES}},
Research-Areas = {{Geology; Water Resources}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary; Water Resources}},
Author-Email = {{zhenhua.li@usask.ca
   yanping.li@usask.ca}},
Funding-Acknowledgement = {{Natural Sciences and Engineering Research Council of Canada
   (NSERC)Natural Sciences and Engineering Research Council of Canada;
   Probing the Atmosphere of the High Arctic project - NSERC; Global
   Institute of Water Security at the University of Saskatchewan;
   Environment and Climate Change Canada (ECCC); Changing Cold Region
   Network (CCRN) at the University of Saskatchewan; Global Water Future
   (GWF) at the University of Saskatchewan; Global Institute of Water
   Security (GIWS) at the University of Saskatchewan}},
Funding-Text = {{We gratefully acknowledge the Natural Sciences and Engineering Research
   Council of Canada (NSERC) for funding the Changing Cold Regions Network
   (CCRN) through their Climate Change and Atmospheric Research (CCAR)
   initiative. Zhenhua Li is supported by the Probing the Atmosphere of the
   High Arctic project sponsored by the NSERC. Yanping Li gratefully
   acknowledges the support from the Global Institute of Water Security at
   the University of Saskatchewan. This research is also supported by
   Environment and Climate Change Canada (ECCC). We gratefully acknowledge
   the support from the Changing Cold Region Network (CCRN), Global Water
   Future (GWF) and Global Institute of Water Security (GIWS) at the
   University of Saskatchewan.}},
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Number-of-Cited-References = {{50}},
Times-Cited = {{4}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{3}},
Journal-ISO = {{Hydrol. Earth Syst. Sci.}},
Doc-Delivery-Number = {{GV4SD}},
Unique-ID = {{ISI:000446089700001}},
OA = {{DOAJ Gold}},
DA = {{2020-08-06}},
}

@article{ ISI:000445256000006,
Author = {Xia, Zhengyu and Yu, Zicheng and Loisel, Julie},
Title = {{Centennial-scale dynamics of the Southern Hemisphere Westerly Winds
   across the Drake Passage over the past two millennia}},
Journal = {{GEOLOGY}},
Year = {{2018}},
Volume = {{46}},
Number = {{10}},
Pages = {{855-858}},
Month = {{OCT}},
Abstract = {{The Southern Hemisphere Westerly Winds (SHWW) exert important controls
   on regional and global climate. Instrumental and reanalysis records
   indicate strengthening and poleward contraction of the SHWW belt since
   the late twentieth century. Such changes also have implications for
   Southern Ocean upwelling and CO2 degassing. Therefore, a better
   understanding of the long-term SHWW behaviors and dynamics beyond recent
   decades is critical for projecting future changes. Here, we applied
   isotope analysis of Sphagnum moss cellulose from a peat bog in
   southernmost Patagonia (similar to 54 degrees S) to reconstruct changes
   in oxygen isotope composition of precipitation (delta O-18(p)) that
   could elucidate past shifts in moisture sources and trajectories. We
   interpreted the positive shifts in delta O-18(p) to indicate weaker SHWW
   and, importantly, more frequent easterly flows that enhance moisture
   supply sourced from the Atlantic Ocean. In contrast, negative shifts in
   delta O-18(p) indicate stronger SHWW and intensification of the Andean
   rain shadow. Our data, along with other evidence from southernmost
   Patagonia and the Antarctic Peninsula, suggest a coherent pattern of
   centennial-scale variability in SHWW strength on either side of the
   Drake Passage over the past two millennia, probably as a teleconnection
   response to El Nino-Southern Oscillation-like variability. Our study
   implies that investigations of past changes in the SHWW and associated
   teleconnection mechanisms should consider synoptic-scale atmospheric
   circulation patterns, rather than seeing SHWW as a simplistic
   west-to-east (zonal) wind-flow pattern, particularly on the time scales
   over which the SHWW express zonal asymmetry among different sectors of
   the Southern Ocean.}},
Publisher = {{GEOLOGICAL SOC AMER, INC}},
Address = {{PO BOX 9140, BOULDER, CO 80301-9140 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Xia, ZY (Corresponding Author), Lehigh Univ, Dept Earth \& Environm Sci, Bethlehem, PA 18015 USA.
   Xia, Zhengyu; Yu, Zicheng, Lehigh Univ, Dept Earth \& Environm Sci, Bethlehem, PA 18015 USA.
   Yu, Zicheng, Northeast Normal Univ, Sch Geog Sci, Changchun 130024, Jilin, Peoples R China.
   Loisel, Julie, Texas A\&M Univ, Dept Geog, College Stn, TX 77843 USA.}},
DOI = {{10.1130/G40187.1}},
ISSN = {{0091-7613}},
EISSN = {{1943-2682}},
Keywords-Plus = {{ANNULAR MODE; PATAGONIA; CLIMATE; VARIABILITY; ARGENTINA; TRENDS; WIDE}},
Research-Areas = {{Geology}},
Web-of-Science-Categories  = {{Geology}},
ORCID-Numbers = {{Xia, Zhengyu/0000-0001-9792-6536}},
Funding-Acknowledgement = {{U.S. National Science Foundation P2C2 Program {[}EAR 1502891]}},
Funding-Text = {{We thank Jonathan Stelling and Yinsui Zheng for field assistance;
   Rodrigo Munzenmayer, Alejandro Kusch, and Daniel Teran from Karukinka
   Park, Chile (Wildlife Conservation Society) for permissions and
   logistical support; Yongsong Huang for discussion; and three anonymous
   reviewers for their constructive comments. This project was supported by
   the U.S. National Science Foundation P2C2 Program (grant EAR 1502891).}},
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Number-of-Cited-References = {{32}},
Times-Cited = {{5}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{17}},
Journal-ISO = {{Geology}},
Doc-Delivery-Number = {{GU4LT}},
Unique-ID = {{ISI:000445256000006}},
DA = {{2020-08-06}},
}

@article{ ISI:000444947600039,
Author = {Hu, Jinggao and Li, Tim and Xu, Haiming},
Title = {{Relationship between the North Pacific Gyre Oscillation and the onset of
   stratospheric final warming in the northern Hemisphere}},
Journal = {{CLIMATE DYNAMICS}},
Year = {{2018}},
Volume = {{51}},
Number = {{7-8}},
Pages = {{3061-3075}},
Month = {{OCT}},
Abstract = {{The seasonal timing or onset date of the stratospheric final warming
   (SFWOD) events has a considerable interannual variability. This paper
   reports a statistically significant relationship between the North
   Pacific Gyre Oscillation (NPGO) and SFWOD in the Northern Hemisphere in
   two sub-periods (1951-1978 and 1979-2015). Specifically, in the first
   (second) sub-period, the NPGO is negatively (positively) linked with
   SFWOD. Composite analyses associated with anomalous NPGO years are
   conducted to diagnose the dynamic processes of the NPGO-SFWOD link.
   During 1951-1978, positive NPGO years tend to strengthen the
   Pacific-North America (PNA) pattern in the mid-troposphere in boreal
   winter. The strengthened PNA pattern in February leads to strong
   planetary wave activity in the extratropical stratosphere from late
   February to March and causes the early onset of SFW in early April. By
   contrast, a strengthened Western Pacific pattern from January to early
   February in negative NPGO years causes a burst of planetary waves in
   both the troposphere and extratropical stratosphere from late January to
   mid-February and results in more winter stratospheric sudden warming
   events, which, in turn, leads to a dormant spring and a late onset of
   SFW in late April. During 1979-2015, positive (negative) NPGO years
   strongly strengthen (weaken) the mid-tropospheric Aleutian low and the
   Western Pacific pattern from January to mid-March, leading to increased
   (decreased) planetary wavenumber-1 activity in the stratosphere from
   mid- to late winter and thus more (less) winter stratospheric sudden
   warming events and late (early) onsets of SFW in early May (mid-April).}},
Publisher = {{SPRINGER}},
Address = {{233 SPRING ST, NEW YORK, NY 10013 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Li, T (Corresponding Author), Nanjing Univ Informat Sci \& Technol, Joint Int Res Lab Climate \& Environm Change ILCEC, Collaborat Innovat Ctr Forecast \& Evaluat Meteoro, Key Lab Meteorol Disaster,Minist Educ KLME, Nanjing, Jiangsu, Peoples R China.
   Li, T (Corresponding Author), Univ Hawaii Manoa, Int Pacific Res Ctr, Dept Atmospher Sci, Honolulu, HI 96822 USA.
   Hu, Jinggao; Li, Tim; Xu, Haiming, Nanjing Univ Informat Sci \& Technol, Joint Int Res Lab Climate \& Environm Change ILCEC, Collaborat Innovat Ctr Forecast \& Evaluat Meteoro, Key Lab Meteorol Disaster,Minist Educ KLME, Nanjing, Jiangsu, Peoples R China.
   Hu, Jinggao; Li, Tim, Univ Hawaii Manoa, Int Pacific Res Ctr, Dept Atmospher Sci, Honolulu, HI 96822 USA.}},
DOI = {{10.1007/s00382-017-4065-3}},
ISSN = {{0930-7575}},
EISSN = {{1432-0894}},
Keywords = {{North Pacific Gyre Oscillation; Stratospheric final warming; Spring
   season; Stratospheric sudden warming; Interannual time scale}},
Keywords-Plus = {{INTERANNUAL VARIABILITY; VICTORIA MODE; WINTER; EVENTS; TELECONNECTION;
   CIRCULATION; TROPOSPHERE; IMPACTS; VORTEX; FIELD}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{timli@hawaii.edu}},
Funding-Acknowledgement = {{China National RD Program {[}2017YFA0603802, 2015CB453200]; NSFC
   ProjectNational Natural Science Foundation of China {[}41505034,
   41630423, 41575057, 41490643]; NSFNational Science Foundation (NSF)
   {[}AGS-1565653]; Jiangsu NSF Key Project {[}BK20150062]; Startup
   Foundation for Introducing Talent of NUIST {[}2014R010]; Priority
   Academic Program Development of Jiangsu Higher Education Institutions;
   China Scholarship CouncilChina Scholarship Council}},
Funding-Text = {{We thank three anonymous reviewers and the Editor for their assistance
   in evaluating this paper. This work was jointly supported by China
   National R\&D Program (2017YFA0603802 and 2015CB453200), the NSFC
   Project (41505034, 41630423, 41575057 and 41490643), NSF AGS-1565653,
   Jiangsu NSF Key Project (BK20150062), the Startup Foundation for
   Introducing Talent of NUIST (2014R010), and the Priority Academic
   Program Development of Jiangsu Higher Education Institutions. Jinggao Hu
   thanks the China Scholarship Council for funding and travel support.}},
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Number-of-Cited-References = {{44}},
Times-Cited = {{3}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{21}},
Journal-ISO = {{Clim. Dyn.}},
Doc-Delivery-Number = {{GU0NN}},
Unique-ID = {{ISI:000444947600039}},
DA = {{2020-08-06}},
}

@article{ ISI:000445310200002,
Author = {Kaskaoutis, D. G. and Houssos, E. E. and Minvielle, F. and Rashki, A.
   and Chiapello, I. and Dumka, U. C. and Legrand, M.},
Title = {{Long-term variability and trends in the Caspian Sea - Hindu Kush Index:
   Influence on atmospheric circulation patterns, temperature and rainfall
   over the Middle East and Southwest Asia}},
Journal = {{GLOBAL AND PLANETARY CHANGE}},
Year = {{2018}},
Volume = {{169}},
Pages = {{16-33}},
Month = {{OCT}},
Abstract = {{The Caspian Sea - Hindu Kush Index (CasHKI) has been introduced as an
   indicator of modulation of the wind regime and dust activity over
   southwest (SW) Asia. This study analyzes the long-term series in CasHKI
   values and the associated mean sea-level pressure (MSLP) anomalies over
   the Caspian Sea (CS) and Hindu Kush (HK) domains during the period
   1963-2014, aiming at examining the trends in CasHKI and the associated
   climate implications. An overall negative trend (-0.12 hPa per decade)
   in CasHKI is revealed during 1963-2014, mostly driven by the large
   decrease in CasHKI during 1963-1980, whereas an increasing trend is
   found during the 2000s. The CasHKI values are mostly related to the MSLP
   anomalies over the CS rather than HK domain; however, the negative
   anomalies in MSLP over HK during the 1960s determine the corresponding
   CasHKI trends. The MSLP values and anomalies show a regional shift in
   the core maximum and higher increasing trends at the southern compared
   to northern latitudes within the CS domain. The synoptic maps of the
   MSLP, geopotential height at 700 hPa (Z700) and vertical profile of the
   meridional wind are compared between the months with highest and lowest
   CasHKI values, revealing a significant intensification in the north wind
   over the SW Asia and a deepening of the Indian/Pakistan thermal low for
   the high-CasHKI months in summer. In addition, the high-CasHKI months
   are mostly associated with a decrease in Z700 over SW Asia and the
   Middle East, an intensification of the Indian monsoon trough, a decrease
   in temperature over the SW Asia and a slight increase in rainfall over
   parts of SW Asia, Middle East and east Africa. Finally, ENSO variability
   seems not to be significantly linked with CasHKI - but this issue
   requires further examination.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Kaskaoutis, DG (Corresponding Author), Natl Observ Athens, Inst Environm Res \& Sustainable Dev, Athens 11810, Greece.
   Kaskaoutis, D. G., Natl Observ Athens, Inst Environm Res \& Sustainable Dev, Athens 11810, Greece.
   Houssos, E. E., Univ Ioannina, Dept Phys, Lab Meteorol, GR-45110 Ioannina, Greece.
   Minvielle, F.; Chiapello, I.; Legrand, M., Univ Lille 1, LOA, F-59655 Villeneuve Dascq, France.
   Rashki, A., Ferdowsi Univ Mashhad, Nat Resources \& Environm Coll, Mashhad, Iran.
   Dumka, U. C., Aryabhatta Res Inst Observat Sci, Naini Tal 263001, India.}},
DOI = {{10.1016/j.gloplacha.2018.07.004}},
ISSN = {{0921-8181}},
EISSN = {{1872-6364}},
Keywords = {{CasHKI; Trend analysis; Meteorology; Climate dynamics; NCEP/NCAR; SW
   Asia}},
Keywords-Plus = {{AFRICAN DUST OUTBREAKS; INDIAN-SUMMER MONSOON; LOW-LEVEL JET; SISTAN
   REGION; TELECONNECTION PATTERNS; SURFACE-TEMPERATURE; MEDITERRANEAN
   BASIN; SOUTHEAST IRAN; NORTH-AFRICA; AEROSOL}},
Research-Areas = {{Physical Geography; Geology}},
Web-of-Science-Categories  = {{Geography, Physical; Geosciences, Multidisciplinary}},
Author-Email = {{dimitriskask@hotmail.com}},
ResearcherID-Numbers = {{Rashki, Alireza/H-5577-2011}},
ORCID-Numbers = {{Rashki, Alireza/0000-0003-0213-7097}},
Funding-Acknowledgement = {{project ``Le Sistan, source singuliere d'aerosols desertiques: sous
   quelle influence dynamique locale et synoptique? 2016-2018{''} - CNRS,
   France {[}AO2016- 997442]}},
Funding-Text = {{NCEP/NCAR reanalysis is gratefully acknowledged for providing the
   meteorological fields over SW Asia that are used in the current study.
   In addition, we are thankful to the NOAA Climate Prediction Center for
   providing the Oceanic Nino Index (ONI) values. This work is supported by
   the project ``Le Sistan, source singuliere d'aerosols desertiques: sous
   quelle influence dynamique locale et synoptique? 2016-2018{''} funded by
   CNRS, France (Ref No: AO2016- 997442).}},
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Number-of-Cited-References = {{62}},
Times-Cited = {{4}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{9}},
Journal-ISO = {{Glob. Planet. Change}},
Doc-Delivery-Number = {{GU5FA}},
Unique-ID = {{ISI:000445310200002}},
DA = {{2020-08-06}},
}

@article{ ISI:000444953600009,
Author = {Ward, Hauke and Wenz, Leonie and Steckel, Jan C. and Minx, Jan C.},
Title = {{Truncation Error Estimates in Process Life Cycle Assessment Using
   Input-Output Analysis}},
Journal = {{JOURNAL OF INDUSTRIAL ECOLOGY}},
Year = {{2018}},
Volume = {{22}},
Number = {{5}},
Pages = {{1080-1091}},
Month = {{OCT}},
Abstract = {{Process life cycle assessment (PLCA) is widely used to quantify
   environmental flows associated with the manufacturing of products and
   other processes. As PLCA always depends on defining a system boundary,
   its application involves truncation errors. Different methods of
   estimating truncation errors are proposed in the literature; most of
   these are based on artificially constructed system complete
   counterfactuals. In this article, we review the literature on truncation
   errors and their estimates and systematically explore factors that
   influence truncation error estimates. We classify estimation approaches,
   together with underlying factors influencing estimation results
   according to where in the estimation procedure they occur. By
   contrasting different PLCA truncation/error modeling frameworks using
   the same underlying input-output (I-O) data set and varying cut-off
   criteria, we show that modeling choices can significantly influence
   estimates for PLCA truncation errors. In addition, we find that
   differences in I-O and process inventory databases, such as missing
   service sector activities, can significantly affect estimates of PLCA
   truncation errors. Our results expose the challenges related to explicit
   statements on the magnitude of PLCA truncation errors. They also
   indicate that increasing the strictness of cut-off criteria in PLCA has
   only limited influence on the resulting truncation errors. We conclude
   that applying an additional I-O life cycle assessment or a path exchange
   hybrid life cycle assessment to identify where significant contributions
   are located in upstream layers could significantly reduce PLCA
   truncation errors.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Ward, H (Corresponding Author), Mercator Res Inst Global Commons \& Climate Change, Torgauer Str 12-15, D-10829 Berlin, Germany.
   Ward, Hauke, Tech Univ Berlin, Dept Econ Climate Change, Berlin, Germany.
   Ward, Hauke; Wenz, Leonie; Steckel, Jan C.; Minx, Jan C., Mercator Res Inst Global Commons \& Climate Change, Berlin, Germany.
   Ward, Hauke; Wenz, Leonie; Steckel, Jan C., Potsdam Inst Climate Impact Res, Potsdam, Germany.
   Wenz, Leonie, Univ Potsdam, Inst Phys, Potsdam, Germany.
   Minx, Jan C., Hertie Sch Governance, Berlin, Germany.}},
DOI = {{10.1111/jiec.12655}},
ISSN = {{1088-1980}},
EISSN = {{1530-9290}},
Keywords = {{industrial ecology; input-output (I-O) analysis; process life cycle
   assessment; service sectors; system boundary; truncation error estimate}},
Keywords-Plus = {{EMBODIED ENERGY; INVENTORY DATA; FOOTPRINT; AGGREGATION; AUSTRALIA;
   SYSTEM}},
Research-Areas = {{Science \& Technology - Other Topics; Engineering; Environmental
   Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Engineering, Environmental;
   Environmental Sciences}},
Author-Email = {{ward@mcc-berlin.net}},
ResearcherID-Numbers = {{Minx, Jan C/AAC-5948-2019
   }},
ORCID-Numbers = {{Minx, Jan C/0000-0002-2862-0178
   Wenz, Leonie/0000-0002-8500-1568}},
Funding-Acknowledgement = {{German Research Association (DFG)German Research Foundation (DFG);
   Collaborative Research Center ``Sustainable Manufacturing - Shaping
   Global Value Creation{''} of Technische Universitat Berlin {[}1026];
   German Environmental Foundation (DBU); European Union Seventh Framework
   Program FP7/2007-2013 {[}603864]}},
Funding-Text = {{We gratefully acknowledge the financial support of the German Research
   Association (DFG) and the Collaborative Research Center 1026
   ``Sustainable Manufacturing - Shaping Global Value Creation{''} of
   Technische Universitat Berlin. The research leading to these results has
   also received funding from the German Environmental Foundation (DBU) and
   the European Union Seventh Framework Program FP7/2007-2013 under grant
   agreement no. 603864.}},
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Number-of-Cited-References = {{37}},
Times-Cited = {{12}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{7}},
Journal-ISO = {{J. Ind. Ecol.}},
Doc-Delivery-Number = {{GU0PP}},
Unique-ID = {{ISI:000444953600009}},
OA = {{Green Accepted}},
DA = {{2020-08-06}},
}

@article{ ISI:000444223000001,
Author = {Zhang, Tuantuan and Huang, Bohua and Yang, Song and Kinter, III, James
   L.},
Title = {{Predictable Patterns of the Atmospheric Low-Level Circulation over the
   Indo-Pacific Region in Project Minerva: Seasonal Dependence and
   Intraensemble Variability}},
Journal = {{JOURNAL OF CLIMATE}},
Year = {{2018}},
Volume = {{31}},
Number = {{20}},
Pages = {{8351-8379}},
Month = {{OCT}},
Abstract = {{The predictable patterns and intraensemble variability of monthly
   850-hPa zonal wind over the tropical Indo-Pacific region are
   investigated using 7-month hindcasts for 1983-2009 from Project Minerva.
   When applied to the ensemble hindcasts initialized on 1 May and 1
   November, a maximum signal-to-noise empirical orthogonal function
   analysis identifies the patterns of high predictability as the hindcasts
   progress. For both initial months, the most predictable patterns are
   associated with El Nino-Southern Oscillation (ENSO). The second
   predictable patterns with May initialization reflect the anomalous
   evolution of the western North Pacific (WNP) monsoon, characterized by a
   northward shift of the WNP anomalous anticyclone/cyclone in summer and a
   southward shift in fall. The intraensemble variability shows a strong
   seasonality that affects different predictable patterns in different
   seasons. For May initialization, the dominant patterns of the ensemble
   spread bear some resemblance to the predictable WNP patterns in summer
   and ENSO patterns in fall, which reflect the noise-induced differences
   in the evolution of the predictable signals among ensemble members. On
   the other hand, the noise patterns with November initialization are
   dominated by the northern extratropical atmospheric perturbations from
   winter to early spring, which expand southward through the coupled
   footprinting mechanism to perturb the ENSO evolution in different
   ensemble members. In comparison, the extratropical perturbations in the
   Southern Hemisphere, most significant in early months with
   May-initialized predictions, are less effective in affecting the
   tropical circulation.}},
Publisher = {{AMER METEOROLOGICAL SOC}},
Address = {{45 BEACON ST, BOSTON, MA 02108-3693 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Yang, S (Corresponding Author), Sun Yat Sen Univ, Sch Atmospher Sci, Guangzhou, Guangdong, Peoples R China.
   Yang, S (Corresponding Author), Sun Yat Sen Univ, Guangdong Prov Key Lab Climate Change \& Nat Disas, Guangzhou, Guangdong, Peoples R China.
   Yang, S (Corresponding Author), Sun Yat Sen Univ, Inst Earth Climate \& Environm Syst, Guangzhou, Guangdong, Peoples R China.
   Zhang, Tuantuan; Yang, Song, Sun Yat Sen Univ, Sch Atmospher Sci, Guangzhou, Guangdong, Peoples R China.
   Huang, Bohua; Kinter, James L., III, George Mason Univ, Dept Atmospher Ocean \& Earth Sci, Fairfax, VA 22030 USA.
   Huang, Bohua; Kinter, James L., III, George Mason Univ, Ctr Ocean Land Atmosphere Studies, Fairfax, VA 22030 USA.
   Yang, Song, Sun Yat Sen Univ, Guangdong Prov Key Lab Climate Change \& Nat Disas, Guangzhou, Guangdong, Peoples R China.
   Yang, Song, Sun Yat Sen Univ, Inst Earth Climate \& Environm Syst, Guangzhou, Guangdong, Peoples R China.}},
DOI = {{10.1175/JCLI-D-17-0577.1}},
ISSN = {{0894-8755}},
EISSN = {{1520-0442}},
Keywords = {{ENSO; Monsoons; Climate prediction; Hindcasts; Seasonal forecasting}},
Keywords-Plus = {{SEA-SURFACE TEMPERATURE; NINO SOUTHERN-OSCILLATION; TROPICAL
   INDIAN-OCEAN; NORTHERN-HEMISPHERE SUMMER; MADDEN-JULIAN OSCILLATION;
   EAST ASIAN TELECONNECTION; EL-NINO; INTERANNUAL VARIABILITY; WESTERN
   PACIFIC; COUPLED MODEL}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
Author-Email = {{songyang3@mail.sysu.edu.cn}},
ResearcherID-Numbers = {{Zhang, Tuantuan/AAG-4841-2019}},
Funding-Acknowledgement = {{National Key Scientific Research Plan of China {[}2014CB953904];
   National Key Research and Development Program of China
   {[}2016YFA0602703]; Natural Science Foundation of ChinaNational Natural
   Science Foundation of China {[}41661144019, 41690123, 41690120,
   41375081]; Jiangsu Collaborative Innovation Center for Climate Change,
   China; U.S. National Science FoundationNational Science Foundation (NSF)
   {[}AGS-1338427]; National Oceanic and Atmospheric AdministrationNational
   Oceanic Atmospheric Admin (NOAA) - USA {[}NA14OAR4310160]; National
   Aeronautics and Space AdministrationNational Aeronautics \& Space
   Administration (NASA) {[}NNX-14AM19G]}},
Funding-Text = {{We thank English editor Dr. Zuojun Yu for improving the readability of
   the manuscript. This study was jointly supported by the National Key
   Scientific Research Plan of China (Grant 2014CB953904), the National Key
   Research and Development Program of China (2016YFA0602703), the Natural
   Science Foundation of China (Grants 41661144019, 41690123, 41690120, and
   41375081), and the Jiangsu Collaborative Innovation Center for Climate
   Change, China. B. Huang and J. Kinter are supported by grants from the
   U.S. National Science Foundation (AGS-1338427), the National Oceanic and
   Atmospheric Administration (NA14OAR4310160), and the National
   Aeronautics and Space Administration (NNX-14AM19G).}},
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Times-Cited = {{6}},
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}

@article{ ISI:000444363400003,
Author = {Robson, Edward N. and Wijayaratna, Kasun P. and Dixit, Vinayak V.},
Title = {{A review of computable general equilibrium models for transport and
   their applications in appraisal}},
Journal = {{TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE}},
Year = {{2018}},
Volume = {{116}},
Pages = {{31-53}},
Month = {{OCT}},
Abstract = {{In the transport planning process, decision makers require reliable and
   informative appraisals to facilitate comparisons and determine if a
   proposal is worthwhile to society. The cost-benefit analysis is the most
   common form of appraisal, where benefits are primarily measured from the
   change in consumer surplus in the transport market. However, these
   benefits will only reflect maximum social welfare if markets operate
   perfectly competitively and without any market failures. There may be
   significant uncaptured impacts, known as wider economic impacts, which
   agencies are beginning to incorporate in appraisals using ad-hoc
   methods. Computable general equilibrium (CGE) models are an increasingly
   popular method for assessing the economic impact of transport, including
   both direct and wider economic impacts, as they can determine the
   distribution of impacts among every market and agent in the economy by
   simulating the behaviour of households, firms and others from
   microeconomic first principles. Aside from their traditional role
   estimating changes in macroeconomic variables, CGE models can provide a
   measure of welfare that guarantees no double counting and accounts for
   nth order effects. This paper reviews the full range of CGE models that
   have been applied to transport issues and discusses their role in
   transport appraisal. CGE models for transport have been developed in
   urban, regional and environmental economics as well as other fields, and
   each field has applied its own theory, assumptions and practices to
   represent the relationships between transport and the economy relevant
   to the field. This paper also discusses the general role of CGE
   modelling in transport appraisal, as well as theoretical and practical
   concerns regarding CGE modelling practice.}},
Publisher = {{PERGAMON-ELSEVIER SCIENCE LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND}},
Type = {{Review}},
Language = {{English}},
Affiliation = {{Robson, EN (Corresponding Author), UNSW Sydney, Sch Civil \& Environm Engn, Res Ctr Integrated Transport Innovat, Sydney, NSW 2052, Australia.
   Robson, Edward N.; Wijayaratna, Kasun P.; Dixit, Vinayak V., UNSW Sydney, Sch Civil \& Environm Engn, Res Ctr Integrated Transport Innovat, Sydney, NSW 2052, Australia.}},
DOI = {{10.1016/j.tra.2018.06.003}},
ISSN = {{0965-8564}},
Keywords = {{Computable general equilibrium modelling; Transport appraisal;
   Cost-benefit analysis; Wider economic impacts}},
Keywords-Plus = {{COST-BENEFIT-ANALYSIS; INPUT-OUTPUT-ANALYSIS; CGE ANALYSIS; URBAN
   TRANSPORT; DISCRETE-CHOICE; LAND-USE; MONOPOLISTIC COMPETITION;
   INFRASTRUCTURE PROJECTS; INVESTMENT DECISIONS; RESOURCE-ALLOCATION}},
Research-Areas = {{Business \& Economics; Transportation}},
Web-of-Science-Categories  = {{Economics; Transportation; Transportation Science \& Technology}},
Author-Email = {{e.robson@unsw.edu.au
   k.wijayaratna@unsw.edu.au
   v.dixit@unsw.edu.au}},
ORCID-Numbers = {{Robson, Edward/0000-0003-2520-4504}},
Funding-Acknowledgement = {{Australian Government Research Training Program ScholarshipAustralian
   GovernmentDepartment of Industry, Innovation and Science}},
Funding-Text = {{This work was supported by an Australian Government Research Training
   Program Scholarship.}},
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