https://nova.newcastle.edu.au/vital/access/ /manager/Index en-au 5 Slope Unit Extraction and Landslide Susceptibility Prediction Using Multi-scale Segmentation Method https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52061 Wed 27 Sep 2023 15:29:29 AEST ]]> Risk of secondary progressive multiple sclerosis: a longitudinal study https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38068 p <0.001), longer disease duration (HR=1.01, p=0.038), a higher Expanded Disability Status Scale score (HR=1.30, p<0.001), more rapid disability trajectory (HR=2.82, p<0.001) and greater number of relapses in the previous year (HR=1.07, p=0.010) were independently associated with an increased risk of secondary progressive multiple sclerosis. Improving disability (HR=0.62, p=0.039) and disease-modifying therapy exposure (HR=0.71, p=0.007) were associated with a lower risk. Recent cerebral magnetic resonance imaging activity, evidence of spinal cord lesions and oligoclonal bands in the cerebrospinal fluid were not associated with the risk of conversion. Conclusion:Risk of secondary progressive multiple sclerosis increases with age, duration of illness and worsening disability and decreases with improving disability. Therapy may delay the onset of secondary progression.]]> Wed 24 May 2023 12:22:34 AEST ]]> Contextualizing the current state of research on the use of machine learning for student performance prediction: A systematic literature review https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:55197 Wed 24 Apr 2024 13:07:49 AEST ]]> Predicting suicidal behaviours using clinical instruments: systematic review and meta-analysis of positive predictive values for risk scales https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33730 Wed 23 Feb 2022 16:06:03 AEDT ]]> Predicting production-output performance within a complex business environment: from singular to multi-dimensional observations in evaluation https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40891 Wed 20 Jul 2022 13:58:19 AEST ]]> Comparative study of data mining techniques for predicting explosions in coal mines https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47199 Wed 14 Dec 2022 16:10:00 AEDT ]]> Monitoring of an encapsulated embankment for the validation of a dimensionless model for soil swelling https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:14086 Wed 11 Apr 2018 16:54:17 AEST ]]> Service usage and vascular complications in young adults with type 1 diabetes https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:20481 Wed 11 Apr 2018 14:29:37 AEST ]]> Prediction of game performance in Australian football using heart rate variability measures https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25347 Wed 11 Apr 2018 13:17:58 AEST ]]> Measuring social competence, task competence and self-protection in an organisational context https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:5832 Wed 11 Apr 2018 12:24:37 AEST ]]> A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36593 Wed 10 Jun 2020 14:27:18 AEST ]]> HER2 status predicts for upfront AI benefit: a TRANS-AIOG meta-analysis of 12,129 patients from ATAC, BIG 1-98 and TEAM with centrally determined HER2 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34088 Wed 06 Feb 2019 16:16:15 AEDT ]]> Utility of risk-status for predicting psychosis and related outcomes: evaluation of a 10-year cohort of presenters to a specialised early psychosis community mental health service https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33211 without (35.4%, the reference group) and with psychiatric admissions (8.3%); and incomplete assessments (12.5%). High comorbidity levels were reported by the cohort (psychosocial problems, 61.1%; depression, 54.1%; substance misuse, 40.7%). UHR clients experienced similar psychosis transition rates to the reference group (17.3% vs. 14.6%; 8.9% vs. 9.1% within 2-years) and comparable rates of subsequent non-psychosis outcomes. A 25.9% conversion rate from early psychosis to schizophrenia was detected. However, among transitioning individuals, UHR clients faired relatively better, particularly with respect to changes in comorbidity and mental health contacts. Interventions tailored to current problems, recovery and psychological strengthening may be more appropriate than those based on estimated psychosis risk, which currently lacks clinical utility.]]> Wed 04 Sep 2019 10:05:29 AEST ]]> The costs of HARKing https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36154 Tue 27 Feb 2024 13:52:17 AEDT ]]> Craving as a predictor of treatment outcomes in heavy drinkers with comorbid depressed mood https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:13813 Tue 24 Aug 2021 14:28:24 AEST ]]> Using models to interpret data for monitoring and life prediction of deteriorating infrastructure systems https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:24163 Tue 17 Jul 2018 13:53:22 AEST ]]> Outcomes of the Newcastle symposium for the prediction of embankment behaviour on soft soil https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36611 Tue 16 Jun 2020 11:26:41 AEST ]]> The source of lead determines the relationship between soil properties and lead bioaccessibility https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44255 p < 0.05) between the two particle size fractions of < 2 mm and < 250 μm; (2) EC, CEC and total Pb were significantly correlated to Pb bioaccessibility (p < 0.05); and (3) soil analyses based on source of Pb demonstrated a strongly significant relationship between Pb bioaccessibility and soil properties (CEC, EC, clay content and total Pb) for mining soils from Broken Hill (r² = 0.86, p < 0.05, n = 18). These results demonstrated the influences of Pb contamination sources, soil properties and particle size fractions on Pb bioaccessibility as well as the prediction of Pb bioaccessibility using soil properties. The findings documented here will help in developing a predictive tool for human health risk assessment and the remediation of Pb contaminated soils.]]> Tue 11 Oct 2022 12:44:05 AEDT ]]> Identifying key economic indicators influencing tender price index prediction in the building industry: a case study of Ghana https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38099 Tue 03 Aug 2021 18:49:29 AEST ]]> Understanding the impact of coal blending decisions on the prediction of coke quality: a data mining approach https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43779 Thu 29 Sep 2022 10:10:50 AEST ]]> A geomatics data integration technique for coastal change monitoring https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:486 Thu 25 Jul 2013 09:09:53 AEST ]]> Development of risk prediction models for severe periodontitis in a Thai population: statistical and machine learning approaches https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53976 Thu 25 Jan 2024 10:37:08 AEDT ]]> Polygenic risk scores for prediction of breast cancer and breast cancer subtypes https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46914 Thu 08 Dec 2022 08:47:20 AEDT ]]> Nonlinear dynamical analysis of noisy time series https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:2005 Sat 24 Mar 2018 11:11:56 AEDT ]]> Predicting bug-fixing time: an empirical study of commercial software projects https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:31546 Sat 24 Mar 2018 08:44:26 AEDT ]]> Corrosion cracking prediction updating of deteriorating RC structures using inspection information https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:7591 Sat 24 Mar 2018 08:37:22 AEDT ]]> A history of unemployment or sick leave influences long-term functioning and health-related quality-of-life after severe traumatic brain injury https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:14593 Sat 24 Mar 2018 08:20:56 AEDT ]]> Probablistic models for steel corrosion loss and pitting of marine infrastructure https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:4981 Sat 24 Mar 2018 07:46:52 AEDT ]]> Modeling of long-term corrosion loss and pitting for chromium-bearing and stainless steels in seawater https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:5273 Sat 24 Mar 2018 07:46:35 AEDT ]]> Sex as a determinant of relapse incidence and progressive course of multiple sclerosis https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:28805 P < 10⁻¹²). However, the female-to-male ratio in patients with relapse-onset multiple sclerosis and zero relapses in any given year was double that of the patients with primary progressive multiple sclerosis. Patient age was a more important determinant of decline in relapse incidence than disease duration (P < 10⁻¹²). Females are predisposed to higher relapse activity than males. However, this difference does not explain the markedly lower female-to-male sex ratio in primary progressive multiple sclerosis. Decline in relapse activity over time is more closely related to patient age than disease duration.]]> Sat 24 Mar 2018 07:38:27 AEDT ]]> Consensus acceleration of multi-agent systems via model prediction https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25260 Sat 24 Mar 2018 07:38:15 AEDT ]]> Prediction and evaluation of density and volume fractions for the novel perlite composite affected by internal structure formation https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:31108 3 and a porosity range of 0.79–0.93 for expanded perlite particle sizes between 3 and 4 mm, a compaction ratio range of 1–3.56, and a pure sodium silicate content range of 0.05–0.35 g/ml in dilution of water for binder.]]> Sat 24 Mar 2018 07:35:06 AEDT ]]> Craniofacial phenotyping for prediction of obstructive sleep apnoea in a Chinese population https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29611 Sat 24 Mar 2018 07:32:05 AEDT ]]> When does HARKing hurt? Identifying when different types of undisclosed post hoc hypothesizing harm scientific progress https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32450 Mon 23 Sep 2019 12:35:55 AEST ]]> Using models to interpret data for monitoring and life prediction of deteriorating infrastructure systems https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:15831 Mon 23 Sep 2019 10:09:13 AEST ]]> An approach for predicting embankment settlement by integrating multi-source information https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36866 Mon 13 Jul 2020 09:25:43 AEST ]]> Predicting oral cancer survival—Development and validation of an Asia-Pacific nomogram https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51577 Mon 11 Sep 2023 14:29:52 AEST ]]> A theory for mathematical framework and fatigue damage function for the S-N plane https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34643 Mon 08 Apr 2019 10:43:18 AEST ]]> Predicting the Level of Safety Performance Using an Artificial Neural Network https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43797 Fri 30 Sep 2022 13:54:20 AEST ]]> A novel mathematical model for predicting landslide displacement https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38321 Fri 27 Aug 2021 12:09:31 AEST ]]> Offsite construction skills prediction: A conceptual model https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46591 Fri 25 Nov 2022 14:42:44 AEDT ]]> Prediction of on-treatment disability worsening in RRMS with the MAGNIMS score https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46553 Fri 25 Nov 2022 11:33:34 AEDT ]]> Models of coke quality prediction and the relationships to input variables: a review https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46549 Fri 25 Nov 2022 11:33:22 AEDT ]]> Methods of coke quality prediction: a review https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46552 Fri 25 Nov 2022 11:33:20 AEDT ]]> Factors influencing lower extremity amputation outcomes in people with active foot ulceration in regional Australia: a retrospective cohort study https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53204 Fri 17 Nov 2023 11:57:59 AEDT ]]> How long will it take to mitigate this incident for online service systems? https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39739 Fri 17 Jun 2022 18:27:13 AEST ]]> Embankment prediction using testing data and monitored behaviour: A Bayesian updating approach https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44522 Fri 14 Oct 2022 11:38:30 AEDT ]]> Predicting the hydrogen release ability of LiBH₄-based mixtures by ensemble machine learning https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46095 Fri 11 Nov 2022 11:03:01 AEDT ]]> Lead bioavailability as influenced by its sources, speciation and soil properties https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35882 Fri 10 Jan 2020 10:06:23 AEDT ]]> A validity framework theory and fatigue damage function for an S–N plane https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:22334 Fri 07 Dec 2018 16:07:52 AEDT ]]> Towards personalized therapy for multiple sclerosis: prediction of individual treatment response https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34026 80%) for relapse incidence during the first year and for disability outcomes, moderate for relapse incidence in Years 2–4 and for the change in the cumulative disease burden, and low for conversion to secondary progressive disease and treatment discontinuation. External validation showed similar results, demonstrating high external validity for disability and relapse outcomes, moderate external validity for cumulative disease burden and low external validity for conversion to secondary progressive disease and treatment discontinuation. We conclude that demographic, clinical and paraclinical information helps predict individual response to disease-modifying therapies at the time of their commencement.]]> Fri 01 Feb 2019 10:45:46 AEDT ]]>