Institution
University of Adelaide
Education•Adelaide, South Australia, Australia•
About: University of Adelaide is a education organization based out in Adelaide, South Australia, Australia. It is known for research contribution in the topics: Population & Poison control. The organization has 27251 authors who have published 79167 publications receiving 2671128 citations. The organization is also known as: The University of Adelaide & Adelaide University.
Topics: Population, Poison control, Pregnancy, Health care, Mental health
Papers published on a yearly basis
Papers
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TL;DR: Despite a significant amount of research activity on the use of ANNs for prediction and forecasting of water resources variables in river systems, little of this is focused on methodological issues and there is still a need for the development of robust ANN model development approaches.
Abstract: Over the past 15 years, artificial neural networks (ANNs) have been used increasingly for prediction and forecasting in water resources and environmental engineering. However, despite this high level of research activity, methods for developing ANN models are not yet well established. In this paper, the steps in the development of ANN models are outlined and taxonomies of approaches are introduced for each of these steps. In order to obtain a snapshot of current practice, ANN development methods are assessed based on these taxonomies for 210 journal papers that were published from 1999 to 2007 and focus on the prediction of water resource variables in river systems. The results obtained indicate that the vast majority of studies focus on flow prediction, with very few applications to water quality. Methods used for determining model inputs, appropriate data subsets and the best model structure are generally obtained in an ad-hoc fashion and require further attention. Although multilayer perceptrons are still the most popular model architecture, other model architectures are also used extensively. In relation to model calibration, gradient based methods are used almost exclusively. In conclusion, despite a significant amount of research activity on the use of ANNs for prediction and forecasting of water resources variables in river systems, little of this is focused on methodological issues. Consequently, there is still a need for the development of robust ANN model development approaches.
730 citations
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TL;DR: Weight loss should be considered as a first option for women who are infertile and overweight, and the cost savings of the programme were considerable.
Abstract: Obesity affects ovulation, response to fertility treatment, pregnancy rates and outcome. In this prospective study, a weight loss programme was assessed to determine whether it could help obese infertile women, irrespective of their infertility diagnosis, to achieve a viable pregnancy, ideally without further medical intervention. The subjects underwent a weekly programme aimed at lifestyle changes in relation to exercise and diet for 6 months; those that did not complete the 6 months were treated as a comparison group. Women in the study lost an average of 10.2 kg/m2, with 60 of the 67 anovulatory subjects resuming spontaneous ovulation, 52 achieving a pregnancy (18 spontaneously) and 45 a live birth. The miscarriage rate was 18%, compared to 75% for the same women prior to the programme. Psychometric measurements also improved. None of these changes occurred in the comparison group. The cost savings of the programme were considerable. Prior to the programme, the 67 women had had treatment costing a total of A$550,000 for two live births, a cost of A$275,000 per baby. After the programme, the same women had treatment costing a total of A$210,000 for 45 babies, a cost of A$4600 per baby. Thus weight loss should be considered as a first option for women who are infertile and overweight.
729 citations
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VU University Medical Center1, University of Southern California2, Max Planck Society3, McMaster University4, University of Adelaide5, University of California, Irvine6, Erasmus University Rotterdam7, Delft University of Technology8, Erasmus University Medical Center9, German Center for Neurodegenerative Diseases10, Greifswald University Hospital11, University of Münster12, University of Marburg13, University of Queensland14, QIMR Berghofer Medical Research Institute15, Queensland University of Technology16, Virginia Commonwealth University17, University of Göttingen18, University Hospital Heidelberg19, University of Sydney20, Otto-von-Guericke University Magdeburg21, Trinity College, Dublin22, University of Regensburg23, University Medical Center Groningen24, Leiden University Medical Center25, University of Melbourne26, University of Texas Health Science Center at Houston27, Charité28, University of Bonn29, University of Lübeck30, University Medical Center Freiburg31, Stanford University32, University of Calgary33, Warneford Hospital34, Royal Edinburgh Hospital35, University of Edinburgh36, University of Bern37, Cardiff University38, Leibniz Institute for Neurobiology39, University of Tübingen40, Siberian State Medical University41, Mental Health Research Institute42, Tomsk State University43
TL;DR: In this article, the authors present the largest ever worldwide study by the ENIGMA (Enhancing Neuro Imaging Genetics through Meta-Analysis) Major Depressive Disorder Working Group on cortical structural alterations in MDD.
Abstract: The neuro-anatomical substrates of major depressive disorder (MDD) are still not well understood, despite many neuroimaging studies over the past few decades. Here we present the largest ever worldwide study by the ENIGMA (Enhancing Neuro Imaging Genetics through Meta-Analysis) Major Depressive Disorder Working Group on cortical structural alterations in MDD. Structural T1-weighted brain magnetic resonance imaging (MRI) scans from 2148 MDD patients and 7957 healthy controls were analysed with harmonized protocols at 20 sites around the world. To detect consistent effects of MDD and its modulators on cortical thickness and surface area estimates derived from MRI, statistical effects from sites were meta-analysed separately for adults and adolescents. Adults with MDD had thinner cortical gray matter than controls in the orbitofrontal cortex (OFC), anterior and posterior cingulate, insula and temporal lobes (Cohen's d effect sizes: -0.10 to -0.14). These effects were most pronounced in first episode and adult-onset patients (>21 years). Compared to matched controls, adolescents with MDD had lower total surface area (but no differences in cortical thickness) and regional reductions in frontal regions (medial OFC and superior frontal gyrus) and primary and higher-order visual, somatosensory and motor areas (d: -0.26 to -0.57). The strongest effects were found in recurrent adolescent patients. This highly powered global effort to identify consistent brain abnormalities showed widespread cortical alterations in MDD patients as compared to controls and suggests that MDD may impact brain structure in a highly dynamic way, with different patterns of alterations at different stages of life.
728 citations
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TL;DR: In this paper, the authors introduce an extension of logistic modeling, the zero-inflated binomial (ZIB) model that permits the estimation of the rate of false-negative errors and the correction of estimates of the probability of occurrence for false negative errors by using repeated visits to the same site.
Abstract: The use of presence/absence data in wildlife management and biological surveys is widespread. There is a growing interest in quantifying the sources of error associated with these data. We show that false-negative errors (failure to record a species when in fact it is present) can have a significant impact on statistical estimation of habitat models using simulated data. Then we introduce an extension of logistic modeling, the zero-inflated binomial (ZIB) model that permits the estimation of the rate of false-negative errors and the correction of estimates of the probability of occurrence for false-negative errors by using repeated visits to the same site. Our simulations show that even relatively low rates of false negatives bias statistical estimates of habitat effects. The method with three repeated visits eliminates the bias, but estimates are relatively imprecise. Six repeated visits improve precision of estimates to levels comparable to that achieved with conventional statistics in the absence of false-negative errors. In general, when error rates are ≤50% greater efficiency is gained by adding more sites, whereas when error rates are >50% it is better to increase the number of repeated visits. We highlight the flexibility of the method with three case studies, clearly demonstrating the effect of false-negative errors for a range of commonly used survey methods.
725 citations
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TL;DR: It seems more than ever likely that blood-derived stem cells will replace marrow for many indications, according to recent data from the International Bone Marrow Transplant Registry (IBMTR).
725 citations
Authors
Showing all 27579 results
Name | H-index | Papers | Citations |
---|---|---|---|
Martin White | 196 | 2038 | 232387 |
Nicholas G. Martin | 192 | 1770 | 161952 |
David W. Johnson | 160 | 2714 | 140778 |
Nicholas J. Talley | 158 | 1571 | 90197 |
Mark E. Cooper | 158 | 1463 | 124887 |
Xiang Zhang | 154 | 1733 | 117576 |
John E. Morley | 154 | 1377 | 97021 |
Howard I. Scher | 151 | 944 | 101737 |
Christopher M. Dobson | 150 | 1008 | 105475 |
A. Artamonov | 150 | 1858 | 119791 |
Timothy P. Hughes | 145 | 831 | 91357 |
Christopher Hill | 144 | 1562 | 128098 |
Shi-Zhang Qiao | 142 | 523 | 80888 |
Paul Jackson | 141 | 1372 | 93464 |
H. A. Neal | 141 | 1903 | 115480 |