Institution
Deakin University
Education•Burwood, Victoria, Australia•
About: Deakin University is a education organization based out in Burwood, Victoria, Australia. It is known for research contribution in the topics: Population & Context (language use). The organization has 12118 authors who have published 46470 publications receiving 1188841 citations. The organization is also known as: Deakin.
Papers published on a yearly basis
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TL;DR: This research presents a novel and scalable approaches that allow for real-time decision-making in the design and implementation of drug 505(b) agonist regimens for the treatment of central nervous system disorders.
Abstract: Tony Velkov,* Philip E. Thompson, Roger L. Nation, and Jian Li* School of Medicine, Deakin University, Pigdons Road, Geelong 3217, Victoria, Australia, Medicinal Chemistry and Drug Action and Facility for Anti-infective Drug Development and Innovation, Drug Delivery, Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville 3052, Victoria, Australia
597 citations
TL;DR: Improved cycling infrastructure in the form of bicycle paths and lanes that provide a high degree of separation from motor traffic is likely to be important for increasing transportation cycling amongst under-represented population groups such as women.
592 citations
TL;DR: A survey of different approaches to problems related to multiagent deep RL (MADRL) is presented, including nonstationarity, partial observability, continuous state and action spaces, multiagent training schemes, and multiagent transfer learning.
Abstract: Reinforcement learning (RL) algorithms have been around for decades and employed to solve various sequential decision-making problems. These algorithms, however, have faced great challenges when dealing with high-dimensional environments. The recent development of deep learning has enabled RL methods to drive optimal policies for sophisticated and capable agents, which can perform efficiently in these challenging environments. This article addresses an important aspect of deep RL related to situations that require multiple agents to communicate and cooperate to solve complex tasks. A survey of different approaches to problems related to multiagent deep RL (MADRL) is presented, including nonstationarity, partial observability, continuous state and action spaces, multiagent training schemes, and multiagent transfer learning. The merits and demerits of the reviewed methods will be analyzed and discussed with their corresponding applications explored. It is envisaged that this review provides insights about various MADRL methods and can lead to the future development of more robust and highly useful multiagent learning methods for solving real-world problems.
589 citations
University of Westminster1, University of Tartu2, Pontifical Catholic University of Chile3, University of Otago4, Islamic University of Indonesia5, Himalayan Institute of Yoga Science and Philosophy6, International Institute for Applied Systems Analysis7, Macquarie University8, Polish Academy of Sciences9, Millikin University10, University College London11, King's College London12, University of Vienna13, Kyung Hee University14, Hope College15, University of Malaya16, University of Delaware17, Kocaeli University18, Chemnitz University of Technology19, University of KwaZulu-Natal20, University of Texas at Austin21, University of Idaho22, University of Helsinki23, University of California, Los Angeles24, University of Regina25, Deakin University26, Brock University27, Florida Atlantic University28, University of Porto29, Ateneo de Manila University30, University of Rijeka31, University of Zurich32, Ghent University33, University of Wrocław34, National University of Malaysia35, Loughborough University36
TL;DR: Results indicated there were significant cross-regional differences in the ideal female figure and body dissatisfaction, but effect sizes were small across high-socioeconomic-status (SES) sites.
Abstract: This study reports results from the first International Body Project (IBP-I), which surveyed 7,434 individuals in 10 major world regions about body weight ideals and body dissatisfaction. Participants completed the female Contour Drawing Figure Rating Scale (CDFRS) and self-reported their exposure to Western and local media. Results indicated there were significant cross-regional differences in the ideal female figure and body dissatisfaction, but effect sizes were small across high-socioeconomic-status (SES) sites. Within cultures, heavier bodies were preferred in low-SES sites compared to high-SES sites in Malaysia and South Africa (ds = 1.94-2.49) but not in Austria. Participant age, body mass index (BMI), and Western media exposure predicted body weight ideals. BMI and Western media exposure predicted body dissatisfaction among women. Our results show that body dissatisfaction and desire for thinness is commonplace in high-SES settings across world regions, highlighting the need for international attention to this problem.
584 citations
Norwich Research Park1, University of California, Riverside2, University of Florida3, West Bengal State University4, Mediterranea University of Reggio Calabria5, Agro ParisTech6, University of Nice Sophia Antipolis7, Deakin University8, National Research Council9, College of Horticulture10, University of Massachusetts Amherst11, James Hutton Institute12, University of Tennessee13, Agriculture and Agri-Food Canada14, Oregon State University15, Agricultural Research Service16, University of Alabama at Birmingham17, University of Warwick18, University of Worcester19, Utrecht University20, Virginia Tech21, University of Manitoba22, Cornell University23, International Potato Center24, Wageningen University and Research Centre25, Institut national de la recherche agronomique26, North Carolina State University27
TL;DR: A survey to query the community for their ranking of plant-pathogenic oomycete species based on scientific and economic importance received 263 votes from 62 scientists in 15 countries for a total of 33 species and the Top 10 species are provided.
Abstract: Oomycetes form a deep lineage of eukaryotic organisms that includes a large number of plant pathogens which threaten natural and managed ecosystems. We undertook a survey to query the community for their ranking of plant-pathogenic oomycete species based on scientific and economic importance. In total, we received 263 votes from 62 scientists in 15 countries for a total of 33 species. The Top 10 species and their ranking are: (1) Phytophthora infestans; (2, tied) Hyaloperonospora arabidopsidis; (2, tied) Phytophthora ramorum; (4) Phytophthora sojae; (5) Phytophthora capsici; (6) Plasmopara viticola; (7) Phytophthora cinnamomi; (8, tied) Phytophthora parasitica; (8, tied) Pythium ultimum; and (10) Albugo candida. This article provides an introduction to these 10 taxa and a snapshot of current research. We hope that the list will serve as a benchmark for future trends in oomycete research.
582 citations
Authors
Showing all 12448 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Patrick D. McGorry | 137 | 1097 | 72092 |
| Mary Story | 135 | 522 | 64623 |
| Dacheng Tao | 133 | 1362 | 68263 |
| Paul Harrison | 133 | 1400 | 80539 |
| Paul Zimmet | 128 | 740 | 140376 |
| Neville Owen | 127 | 700 | 74166 |
| Louisa Degenhardt | 126 | 798 | 139683 |
| David Scott | 124 | 1561 | 82554 |
| Anthony F. Jorm | 124 | 798 | 67120 |
| Tao Zhang | 123 | 2772 | 83866 |
| John C. Wingfield | 122 | 509 | 52291 |
| John J. McGrath | 120 | 791 | 124804 |
| Eduard Vieta | 119 | 1248 | 57755 |
| Michael Berk | 116 | 1284 | 57743 |
| Ashley I. Bush | 116 | 560 | 57009 |