Soil moisture, organic carbon, and nitrogen content prediction with hyperspectral data using regression models
- Authors: Datta, Dristi , Paul, Manoranjan , Murshed, Manzur , Teng, Shyh Wei , Schmidtke, Leigh
- Date: 2022
- Type: Text , Journal article
- Relation: Sensors (Basel, Switzerland) Vol. 22, no. 20 (2022), p.
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- Description: Soil moisture, soil organic carbon, and nitrogen content prediction are considered significant fields of study as they are directly related to plant health and food production. Direct estimation of these soil properties with traditional methods, for example, the oven-drying technique and chemical analysis, is a time and resource-consuming approach and can predict only smaller areas. With the significant development of remote sensing and hyperspectral (HS) imaging technologies, soil moisture, carbon, and nitrogen can be estimated over vast areas. This paper presents a generalized approach to predicting three different essential soil contents using a comprehensive study of various machine learning (ML) models by considering the dimensional reduction in feature spaces. In this study, we have used three popular benchmark HS datasets captured in Germany and Sweden. The efficacy of different ML algorithms is evaluated to predict soil content, and significant improvement is obtained when a specific range of bands is selected. The performance of ML models is further improved by applying principal component analysis (PCA), a dimensional reduction method that works with an unsupervised learning method. The effect of soil temperature on soil moisture prediction is evaluated in this study, and the results show that when the soil temperature is considered with the HS band, the soil moisture prediction accuracy does not improve. However, the combined effect of band selection and feature transformation using PCA significantly enhances the prediction accuracy for soil moisture, carbon, and nitrogen content. This study represents a comprehensive analysis of a wide range of established ML regression models using data preprocessing, effective band selection, and data dimension reduction and attempt to understand which feature combinations provide the best accuracy. The outcomes of several ML models are verified with validation techniques and the best- and worst-case scenarios in terms of soil content are noted. The proposed approach outperforms existing estimation techniques.
To err is human: medication patient safety in aged care, a case study
- Authors: Gilbert, Julia , Kim, Jeong-Ah
- Date: 2018
- Type: Text , Journal article
- Relation: Quality in Ageing and Older Adults Vol. 19, no. 2 (2018), p. 126-134
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- Description: Purpose: The purpose of this paper is to explore an identified medication error using a root cause analysis and a clinical case study. Design/methodology/approach: In this paper the authors explore a medication error through the completion of a root cause analysis and case study in an aged care facility. Findings: Research indicates that medication errors are highly prevalent in aged care and 40 per cent of nursing home patients are regularly receiving at least one potentially inappropriate medicine (Hamilton, 2009; Raban et al., 2014; Shehab et al., 2016). Insufficient patient information, delays in continuing medications, poor communication, the absence of an up-to-date medication chart and missed or significantly delayed doses are all linked to medication errors (Dwyer et al., 2014). Strategies to improve medication management across hospitalisation to medication administration include utilisation of a computerised medication prescription and management system, pharmacist review, direct communication of discharge medication documentation to community pharmacists and staff education and support (Dolanski et al., 2013). Originality/value: Discussion of the factors impacting on medication errors within aged care facilities may explain why they are prevalent and serve as a basis for strategies to improve medication management and facilitate further research on this topic.
Ode to form
- Authors: Mestrom, Sanne
- Date: 2012
- Type: Text , Visual art work
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A meta-analysis of gene expression signatures of blood pressure and hypertension
- Authors: Charchar, Fadi
- Date: 2015
- Type: Text , Journal article
- Relation: PLoS Genetics Vol. 11, no. 3 (2015), p. 1-29
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- Description: Genome-wide association studies (GWAS) have uncovered numerous genetic variants (SNPs) that are associated with blood pressure (BP). Genetic variants may lead to BP changes by acting on intermediate molecular phenotypes such as coded protein sequence or gene expression, which in turn affect BP variability. Therefore, characterizing genes whose expression is associated with BP may reveal cellular processes involved in BP regulation and uncover how transcripts mediate genetic and environmental effects on BP variability. A meta-analysis of results from six studies of global gene expression profiles of BP and hypertension in whole blood was performed in 7017 individuals who were not receiving antihypertensive drug treatment. We identified 34 genes that were differentially expressed in relation to BP (Bonferroni-corrected p<0.05). Among these genes, FOS and PTGS2 have been previously reported to be involved in BP-related processes; the others are novel. The top BP signature genes in aggregate explain 5%–9% of inter-individual variance in BP. Of note, rs3184504 in SH2B3, which was also reported in GWAS to be associated with BP, was found to be a trans regulator of the expression of 6 of the transcripts we found to be associated with BP (FOS, MYADM, PP1R15A, TAGAP, S100A10, and FGBP2). Gene set enrichment analysis suggested that the BP-related global gene expression changes include genes involved in inflammatory response and apoptosis pathways. Our study provides new insights into molecular mechanisms underlying BP regulation, and suggests novel transcriptomic markers for the treatment and prevention of hypertension. **Please note that there are multiple authors for this article therefore only the name of the Federation University Australia affiliate is provided in this record**
Comparative analysis of machine and deep learning models for soil properties prediction from hyperspectral visual band
- Authors: Datta, Dristi , Paul, Manoranjan , Murshed, Manzur , Teng, Shyh Wei , Schmidtke, Leigh
- Date: 2023
- Type: Text , Journal article
- Relation: Environments Vol. 10, no. 5 (2023), p. 77
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- Description: Estimating various properties of soil, including moisture, carbon, and nitrogen, is crucial for studying their correlation with plant health and food production. However, conventional methods such as oven-drying and chemical analysis are laborious, expensive, and only feasible for a limited land area. With the advent of remote sensing technologies like multi/hyperspectral imaging, it is now possible to predict soil properties non-invasive and cost-effectively for a large expanse of bare land. Recent research shows the possibility of predicting those soil contents from a wide range of hyperspectral data using good prediction algorithms. However, these kinds of hyperspectral sensors are expensive and not widely available. Therefore, this paper investigates different machine and deep learning techniques to predict soil nutrient properties using only the red (R), green (G), and blue (B) bands data to propose a suitable machine/deep learning model that can be used as a rapid soil test. Another objective of this research is to observe and compare the prediction accuracy in three cases i. hyperspectral band ii. full spectrum of the visual band, and iii. three-channel of RGB band and provide a guideline to the user on which spectrum information they should use to predict those soil properties. The outcome of this research helps to develop a mobile application that is easy to use for a quick soil test. This research also explores learning-based algorithms with significant feature combinations and their performance comparisons in predicting soil properties from visual band data. For this, we also explore the impact of dimensional reduction (i.e., principal component analysis) and transformations (i.e., empirical mode decomposition) of features. The results show that the proposed model can comparably predict the soil contents from the three-channel RGB data.
Mental imagery in sport
- Authors: Morris, Tony , Spittle, Michael , Perry, Clark
- Date: 2004
- Type: Text , Book chapter
- Relation: Sport psychology : Theory, applications and issues Chapter 13 p. 344-387
- Full Text: false
- Description: 2003000987
You Can’t Beat Relating with God for Spiritual Well-Being: Comparing a Generic Version with the Original Spiritual Well-Being Questionnaire Called SHALOM
- Authors: Fisher, John
- Date: 2013
- Type: Text , Journal article
- Relation: Religions Vol. 2013, no. 4 (2013), p. 325-335
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- Description: The Spiritual Health And Life-Orientation Measure (SHALOM) is a 20-item instrument that assesses the quality of relationships of the respondent with self, others, the environment and/or a Transcendent Other. In the Transcendental domain, four of the five items had the words ‘God, ‘Divine’ and ‘Creator’ replaced by the word ‘Transcendent’ to make the survey more generic by removing any implied reference to any god or religion. Invitations to complete a web survey were sent to people who had published papers in spirituality, or belonged to associations for spirituality or religious studies, as well as the Australian Atheist Forum. 409 respondents from 14 geographic regions, completed the survey. Confirmatory factor analysis revealed that the modified, generic form of SHALOM showed acceptable model fit, comprising four clearly delineated domains of spiritual well-being. The paper analyses the results derived from using the modified, generic version and, in comparison with results of applications of the original survey instrument, concludes with discussion of the comparative utility of each of the versions of SHALOM. Further studies with more people are warranted, but, from evidence presented here, it looks like you can’t beat relating with God for spiritual well-being.
Complete solutions and triality theory to a nonconvex optimization problem with double-well potential in Rn
- Authors: Morales-Silva, Daniel , Gao, David
- Date: 2013
- Type: Text , Journal article
- Relation: Numerical Algebra, Control and Optimization Vol. 3, no. 2 (2013), p. 271-282
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- Description: The main purpose of this research note is to show that the triality theory can always be used to identify both global minimizer and the biggest local maximizer in global optimization. An open problem left on the double- min duality is solved for a nonconvex optimization problem with double-well potential in ℝn, which leads to a complete set of analytical solutions. Also a convergency theorem is proved for linear perturbation canonical dual method, which can be used for solving global optimization problems with multiple so- lutions. The methods and results presented in this note pave the way towards the proof of the triality theory in general cases.
FOMO : The fear of missing out
- Authors: Ives, Bryce
- Date: 2014
- Type: Text , Visual art work
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Interleukin-6 Induces the down regulation of human peroxisome proliferator activated receptor alpha via the MAPK-induced STAT pathway in human hepatocytes
- Authors: Chew, Guatsiew , Myers, Stephen , Ooi, Kheng Leong , Alexander Chong, Shu-Chien , Sifzizul Tengku Muhammad, Tengku
- Date: 2013
- Type: Text , Journal article
- Relation: Journal of Biochemical and Pharmacological Research Vol. 1, no. 4 (December 2013 2013), p. 204-211
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- Description: IL-6 plays a crucial role in the development of acute phase response. One of the important regulators of IL-6-activated APR is peroxisome proliferator activated receptor alpha (PPAR
From general language understanding to noisy text comprehension
- Authors: Kasthuriarachchy, Buddhika , Chetty, Madhu , Shatte, Adrian , Walls, Darren
- Date: 2021
- Type: Text , Journal article
- Relation: Applied Sciences (Switzerland) Vol. 11, no. 17 (2021), p.
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- Description: Obtaining meaning-rich representations of social media inputs, such as Tweets (unstructured and noisy text), from general-purpose pre-trained language models has become challenging, as these inputs typically deviate from mainstream English usage. The proposed research establishes effective methods for improving the comprehension of noisy texts. For this, we propose a new generic methodology to derive a diverse set of sentence vectors combining and extracting various linguistic characteristics from latent representations of multi-layer, pre-trained language models. Further, we clearly establish how BERT, a state-of-the-art pre-trained language model, comprehends the linguistic attributes of Tweets to identify appropriate sentence representations. Five new probing tasks are developed for Tweets, which can serve as benchmark probing tasks to study noisy text comprehension. Experiments are carried out for classification accuracy by deriving the sentence vectors from GloVe-based pre-trained models and Sentence-BERT, and by using different hidden layers from the BERT model. We show that the initial and middle layers of BERT have better capability for capturing the key linguistic characteristics of noisy texts than its latter layers. With complex predictive models, we further show that the sentence vector length has lesser importance to capture linguistic information, and the proposed sentence vectors for noisy texts perform better than the existing state-of-the-art sentence vectors. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Contributions of obesity to kidney health and disease: insights from Mendelian randomization and the human kidney transcriptomics
- Authors: Xu, Xiaoguang , Eales, James , Jiang, Xiao , Sanderson, Eleanor , Drzal, Maciej , Saluja, Sushant , Scannali, David , Williams, Bryan , Morris, Andrew , Guzik, Tomasz , Charchar, Fadi , Holmes, Michael , Tomaszewski, Maciej
- Date: 2022
- Type: Text , Journal article
- Relation: Cardiovascular research Vol. 118, no. 15 (2022), p. 3151-3161
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- Description: AIMS: Obesity and kidney diseases are common complex disorders with an increasing clinical and economic impact on healthcare around the globe. Our objective was to examine if modifiable anthropometric obesity indices show putatively causal association with kidney health and disease and highlight biological mechanisms of potential relevance to the association between obesity and the kidney. METHODS AND RESULTS: We performed observational, one-sample, two-sample Mendelian randomization (MR) and multivariable MR studies in
Breaking the safety barrier : engineering new paradigms in safety design
- Authors: Culvenor, John
- Date: 1997
- Type: Text , Thesis , PhD
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- Description: Occupational health and safety legislation in Australia and internationally is based on the safe place concept and the hierarchy of control. A safe place is best achieved at the design stage and consequently the education of engineers in safety has been a priority. There have been notable efforts at the integration of safety with engineering studies, and this should be an ongoing objective, however extensive integration is likely to be difficult at least in the short term. The challenge was to develop a supplemental, innovative way to improve the ability of engineers to develop safe place solutions. The hypothesis was that training in creative thinking would achieve this aim. The hierarchy of control methodology shares a strong relationship with creative thinking. Safe place thinking challenges assumptions in the same way that creative thinking seeks to escape dominant paradigms. For this reason creative thinking seems a natural aid to the safe place approach. This study tested the effect on safety design of a creative thinking program; de Bono’s six thinking hats method. Given a recognition that groups other than engineers impact on workplace design, a range of subjects were included; engineering students, technology students, industry safety advisers, and government safety advisers. In response to safety case studies, subjects were required to generate solutions and to prioritize potential solutions. Subjects worked on a range of problems, some individually and some in teams of three. Results show that training in creative thinking improved the generation of solutions to safety problems. As the number of solutions increased, the average quality of ideas was maintained, therefore the increased number of solutions was accompanied by a similar increase in good quality safe place solutions. The results also showed in some instances the training improved the prioritization of solutions according to the safe place methodology. The effects were of a similar magnitude for individuals and teams. Creative thinking training was shown to be a useful way to enhance the generation of safe place solutions to safety problems. Given that creative thinking skills can theoretically be applied to any area of problem solving, the enhancement of these skills are likely to yield wider benefits. Furthermore the enhancement of creative thinking accords well with the current industrial mandates for improved innovation.
- Description: Doctor of Philosophy
Visualising the land: Ways of seeing surface and depth
- Authors: Peters, Laraine
- Date: 2015
- Type: Text , Thesis , Masters
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- Description: Cyanobacteria and their stromatolites act as interesting foci, providing an effective lens through which to visualise land surface and spatial, temporal and sacred depth in landscape. Stromatolites date back some 3.5 billion years and form a thread through history, from deep time to the present. Believed to be the progenitors of all life forms on earth, the close connection of cyanobacteria to soil, water, air and sunlight mirrors similar relationships which exist between other descendant life forms and the land. The intimacy of these aerobes with the natural world can be conceived of as being a metaphor depicting a deep desire in the psyche of modern, technologically inclined humans to revisit a similar intimacy with the land. Some would recognise this as a Jungian, archetypal need to be connected with the earth. Cyanobacteria are a rich source of visual material. Deterministic fractal patterns are inherent in their diurnal microbial rhythm and stromatolite layer formation. The stromatolites provide interesting sculpted forms and mellifluous lines and patterns, to be visually explored in drawings. The interfaces between the macroscopic and the microscopic elements involved in this unique relationship with the land are fraught with artistic tension and visual drama, sufficient to inveigle any artist. Cyanobacteria, their aerobic cousin, A xylinum, and the stromatolites themselves act as microcosms which reflect the balance to be found throughout nature.
- Description: Master of Arts (Visual Arts)
Efficient data gathering in 3D linear underwater wireless sensor networks using sink mobility
- Authors: Akbar, Mariam , Javaid, Nadeem , Khan, Ayesha , Imran, Muhammad , Shoaib, Muhammad , Vasilakos, Athanasios
- Date: 2016
- Type: Text , Journal article
- Relation: Sensors (Switzerland) Vol. 16, no. 3 (2016), p.
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- Description: Due to the unpleasant and unpredictable underwater environment, designing an energy-efficient routing protocol for underwater wireless sensor networks (UWSNs) demands more accuracy and extra computations. In the proposed scheme, we introduce a mobile sink (MS), i.e., an autonomous underwater vehicle (AUV), and also courier nodes (CNs), to minimize the energy consumption of nodes. MS and CNs stop at specific stops for data gathering; later on, CNs forward the received data to the MS for further transmission. By the mobility of CNs and MS, the overall energy consumption of nodes is minimized. We perform simulations to investigate the performance of the proposed scheme and compare it to preexisting techniques. Simulation results are compared in terms of network lifetime, throughput, path loss, transmission loss and packet drop ratio. The results show that the proposed technique performs better in terms of network lifetime, throughput, path loss and scalability. © 2016 by the authors; licensee MDPI, Basel, Switzerland.
Exercise training improves free testosterone in lifelong sedentary aging men
- Authors: Hayes, Lawrence , Herbert, Peter , Sculthorpe, Nicholas , Grace, Fergal
- Date: 2017
- Type: Text , Journal article
- Relation: Endocrine Connections Vol.6 , no.5 (2017), p.306-310
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- Description: As the impact of high intensity interval training (HIIT) on systemic hormones in aging men is unstudied to date, we investigated whether total testosterone (TT), sex hormone binding globulin (SHBG), free testosterone (free-T), and cortisol (all in serum) were altered following HIIT in a cohort of 22 lifelong sedentary (62 +/- 2 years) older men. As HIIT requires preconditioning exercise in sedentary cohorts, participants were tested at three phases, each separated by six weeks' training; baseline (phase A), following conditioning exercise (phase B), and post-HIIT (phase C). Each measurement phase used identical methods. TT was significantly increased following HIIT (~17%; P<0.001) with most increase occurring during preconditioning (~10%; P=0.007). Free-T was unaffected by conditioning exercise (P=0.102) but was significantly higher following HIIT compared to baseline (~4.5%; P=0.023). Cortisol remained unchanged from A to C (P=0.138). The present data indicate a combination of preconditioning and HIIT increases TT and SHBG in sedentary older males, with the HIIT stimulus accounting for a small but statistically significant increase in free-T. Further study is required to determine the biological importance of small improvements in free-T in aging men.
Relationships between pumping costs and water quality in optimal operation of regional multiquality water distribution systems
- Authors: Mala-Jetmarova, Helena
- Date: 2016
- Type: Text , Thesis , PhD
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- Description: The operation of regional multiquality water distribution systems (WDSs) is a complex task involving multiple objectives in order to meet customer water quantity and quality requirements. These objectives, often conflicting, include scheduling of pumps to minimise pumping costs and mixing different quality waters from sources to ensure adequate quality water for customers. Evolutionary algorithms have been successfully applied to optimise operation of regional WDSs. Although a considerable reduction in pumping costs was demonstrated in past studies, other legitimate objectives, for example water quality, were not considered on an equal basis as they were included as a constraint. This single-objective approach precludes the tradeoffs between the objectives being obtained, so any insight on how to operate such a system cannot be provided should pumping costs and water quality be considered on equal basis. A multi-objective approach is applied in this thesis to optimise operation of regional multiquality WDSs considering pumping costs and water quality as legitimate objectives. Two optimisation models with increasing complexity are proposed. The first model considers two objectives, the pumping costs and a general water quality objective. The second model includes three objectives, the pumping costs and two water quality objectives for turbidity and salinity. The optimisation models are applied to three example networks from the literature using numerous scenarios and water quality data from the Wimmera Mallee Pipeline, Australia. A methodology is proposed to find the optimal solution for the multi‐objective optimisation of the WDS, which links a network simulator with a multi-objective genetic algorithm. Prior to optimisation, the performance of algorithm parameters is evaluated and their sensitivity analysed, for which a new methodology is developed. The following results were obtained. For the two-objective optimisation problem, there is a tradeoff with a competing nature between pumping costs and water quality. It means that reduction in pumping costs cannot be achieved without deterioration of water quality delivered to customers and vice versa. For the three-objective optimisation problem, interestingly, there is not a unique type of tradeoff (either competing or non-competing) between a particular pair of objectives. It is dependent on network hydraulics in combination with water quality at sources and customer water quality requirements. General principles behind the tradeoffs are formulated based on new categorisation of sources, so called consistent/inconsistent water quality (CWQ/IWQ) sources, in relation to customer water quality requirements. A practical approach for system operational strategy is developed for the purpose of long-term operational planning. It enables an operator to schedule supply from multiple sources with minimum pumping costs and customer water quality requirements being satisfied as much as possible, for all predicted water quality scenarios in the system.
- Description: Doctor of Philosophy
Introduction : Critical theory and the human condition: past, present, and future
- Authors: Lankshear, Colin , Peters, Michael , Olssen, Mark
- Date: 2003
- Type: Text , Book chapter
- Relation: Critical Theory and the Human Condition Chapter 16 p. 14
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- Reviewed:
- Description: B1
- Description: 2003000478
About intrinsic transversality of pairs of sets
- Authors: Kruger, Alexander
- Date: 2018
- Type: Text , Journal article
- Relation: Set-Valued and Variational Analysis Vol. 26, no. 1 (2018), p. 111-142
- Relation: http://purl.org/au-research/grants/arc/DP160100854
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- Description: The article continues the study of the ‘regular’ arrangement of a collection of sets near a point in their intersection. Such regular intersection or, in other words, transversality properties are crucial for the validity of qualification conditions in optimization as well as subdifferential, normal cone and coderivative calculus, and convergence analysis of computational algorithms. One of the main motivations for the development of the transversality theory of collections of sets comes from the convergence analysis of alternating projections for solving feasibility problems. This article targets infinite dimensional extensions of the intrinsic transversality property introduced recently by Drusvyatskiy, Ioffe and Lewis as a sufficient condition for local linear convergence of alternating projections. Several characterizations of this property are established involving new limiting objects defined for pairs of sets. Special attention is given to the convex case.
Conical averagedness and convergence analysis of fixed point algorithms
- Authors: Bartz, Sedi , Dao, Minh , Phan, Hung
- Date: 2022
- Type: Text , Journal article
- Relation: Journal of Global Optimization Vol. 82, no. 2 (2022), p. 351-373
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- Description: We study a conical extension of averaged nonexpansive operators and the role it plays in convergence analysis of fixed point algorithms. Various properties of conically averaged operators are systematically investigated, in particular, the stability under relaxations, convex combinations and compositions. We derive conical averagedness properties of resolvents of generalized monotone operators. These properties are then utilized in order to analyze the convergence of the proximal point algorithm, the forward–backward algorithm, and the adaptive Douglas–Rachford algorithm. Our study unifies, improves and casts new light on recent studies of these topics. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.