https://ogma.newcastle.edu.au/vital/access/manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:45194 n = 294, 95–106 years; controls: n = 1105, 55–65 years) by assessing their polygenic risk scores (PRS) based on a genome wide association study (GWAS) threshold of p < 5 x 10⁻⁵. PRS were constructed using GWAS summary data from two exceptional longevity (EL) analyses and eight cardiovascular-related risk factors (lipids) and disease (myocardial infarction, coronary artery disease, stroke) analyses. A higher genetic risk for exceptional longevity (EL) was significantly associated with longevity in our sample (odds ratio (OR) = 1.19–1.20, p = 0.00804 and 0.00758, respectively). Two cardiovascular health PRS were nominally significant with longevity (HDL cholesterol, triglycerides), with higher PRS associated with EL, but these relationships did not survive correction for multiple testing. In conclusion, ELL individuals did not have significantly lower polygenic risk for the majority of the investigated cardiovascular health traits. Future work in larger cohorts is required to further explore the role of cardiovascular-related genetic variants in EL.]]> Wed 26 Oct 2022 14:27:30 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:54895 Wed 20 Mar 2024 13:33:17 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:23687 Wed 19 Apr 2023 16:42:57 AEST ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:48936 Wed 19 Apr 2023 14:55:13 AEST ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:47186 Wed 14 Dec 2022 16:02:49 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:20372 Wed 11 Apr 2018 16:58:08 AEST ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:24445 Wed 11 Apr 2018 16:51:11 AEST ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:15138 Wed 11 Apr 2018 16:14:13 AEST ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:25160 Wed 11 Apr 2018 16:09:03 AEST ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:11601 k, where k is the number of switches. Because of the exponential complexity, exact methods are prohibitively time-consuming. This work presents a genetic algorithm that provides a rapid answer to network managers in terms of a switching strategy to reconnect the affected area. The method takes into account the radial topology of the power flow and the operational limits of voltage and cable load. Computational tests were conducted on a real network with 96 buses and 16 switches, located within the operational area of Energy Australia. This paper describes the genetic algorithm in detail, presents thorough computational tests, and a complete contingency plan for the test network.]]> Wed 11 Apr 2018 15:01:42 AEST ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:16800 Wed 11 Apr 2018 14:17:27 AEST ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:31227 Wed 11 Apr 2018 14:09:18 AEST ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:9503 Wed 11 Apr 2018 13:47:54 AEST ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:30004 Wed 11 Apr 2018 12:27:04 AEST ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:9256 Wed 11 Apr 2018 09:30:32 AEST ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:28613 Wed 11 Apr 2018 09:21:51 AEST ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:30824 Wed 10 Nov 2021 15:04:57 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:44806 Wed 01 May 2024 12:05:04 AEST ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:44767 Tue 30 May 2023 11:48:47 AEST ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:25008 Tue 30 Aug 2022 14:27:23 AEST ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:25143 Tue 27 Mar 2018 15:15:35 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:50431 Tue 25 Jul 2023 19:01:27 AEST ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:42910 Tue 06 Sep 2022 15:49:23 AEST ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:36905 Thu 16 Jul 2020 12:19:42 AEST ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:35820 30 and >60 min (p = 0.001 and p = 0.004, respectively). Regression models explained 11-19% of the variance in total sedentary time and time in prolonged sedentary bouts. Conclusion: We found that variability in sedentary time of people with stroke was largely unaccounted for by demographic and stroke-related variables. Behavioral and environmental factors are likely to play an important role in sedentary behavior after stroke. Further work is required to develop and test effective interventions to address sedentary behavior after stroke.]]> Thu 13 Jan 2022 10:29:49 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:9594 Sat 24 Mar 2018 08:39:37 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:12821 Sat 24 Mar 2018 08:17:17 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:12709 Sat 24 Mar 2018 08:16:20 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:20383 Sat 24 Mar 2018 07:58:08 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:20882 -/- mice, a model of hemochromatosis, relative to age- and gender-matched wildtype controls. Classification by functional pathway analysis revealed transcript changes for various genes important in AD. There were decreases of up to 9-fold in transcripts for amyloid-β protein precursor, tau, apolipoprotein E, presenilin 1, and various other γ-secretase components, as well as Notch signaling pathway molecules. This included decreased transcripts for 'hairy and enhancer of split' Hes1 and Hes5, downstream targets of Notch canonical signaling. The reductions in Hes1 and Hes5 transcripts provide evidence that the changes in levels of transcripts for γ-secretase components and Notch signaling genes have functional consequences. The effects appeared relatively specific for AD in that few genes pertaining to other important neurodegenerative diseases, notably Parkinson's disease and Huntington's disease, or to inflammation, oxidative stress, or apoptosis, showed altered transcript levels. The observed effects on AD-related gene transcripts do not appear to be consistent with increased AD risk in HFE hemochromatosis and might, if anything, be predicted to protect against AD to some extent. As Hfe^-/- mice did not have higher brain iron levels than wildtype controls, these studies highlight the need for further research in models of more severe hemochromatosis with brain iron loading.]]> Sat 24 Mar 2018 07:57:56 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:17878 Sat 24 Mar 2018 07:56:13 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:21225 k-nearest neighbor (kNN) structure can provide an efficient solution to this problem. Only a few attempts were found in the literature that focus on solving the problem using the kNNs. This paper briefs the state-of-the-art strategies for the MST problem and a fast and scalable solution combining the classical Borůvka’s MST algorithm and the kNN graph structure. The proposed algorithm is implemented for CUDA enabled GPUs (kNN-Borůvka-GPU), but the basic approach is simple and adaptable to other available architectures. Speed-ups of 30-40 times compared with CPU implementation was observed for several large-scale synthetic and real world data sets.]]> Sat 24 Mar 2018 07:53:01 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:21833 HFE gene. There is evidence from both human and animal studies that HFE gene variants may affect brain function and modify risks of brain disease. To investigate how disruption of HFE influences brain transcript levels, we used microarray and real-time reverse transcription polymerase chain reaction to assess the brain transcriptome in Hfe^−/− mice relative to wildtype AKR controls (age 10 weeks, n ≥ 4/group). The Hfe^−/− mouse brain showed numerous significant changes in transcript levels (p < 0.05) although few of these related to proteins directly involved in iron homeostasis. There were robust changes of at least 2-fold in levels of transcripts for prominent genes relating to transcriptional regulation (FBJ osteosarcoma oncogene Fos, early growth response genes), neurotransmission (glutamate NMDA receptor Grin1, GABA receptor Gabbr1) and synaptic plasticity and memory (calcium/calmodulin-dependent protein kinase IIα Camk2a). As previously reported for dietary iron-supplemented mice, there were altered levels of transcripts for genes linked to neuronal ceroid lipofuscinosis, a disease characterized by excessive lipofuscin deposition. Labile iron is known to enhance lipofuscin generation which may accelerate brain aging. The findings provide evidence that iron loading disorders can considerably perturb levels of transcripts for genes essential for normal brain function and may help explain some of the neurologic signs and symptoms reported in hemochromatosis patients.]]> Sat 24 Mar 2018 07:52:17 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:27314 Sat 24 Mar 2018 07:38:37 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:26041 Sat 24 Mar 2018 07:26:27 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:25518 Sat 24 Mar 2018 07:26:01 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:22173 max. In the permutational scenario, the sequence of jobs has to remain the same in all machines. The Flowshop Problem (FSP) is known to be NP-hard when more than three machines are considered. Thus, for medium and large scale instances, high-quality heuristics are needed to find good solutions in reasonable time. We propose and analyse parallel hybrid search methods that fully use the computational power of current multi-core machines. The parallel methods combine a memetic algorithm (MA) and several iterated greedy algorithms (IG) running concurrently. Two test scenarios were included, with short and long CPU times. The tests were conducted on the set of benchmark instances introduced by Taillard (Eur. J. Oper. Res. 64:278–285, 1993), commonly used to assess the performance of new methods. Results indicate that the use of the MA to manage a pool of solutions is highly effective, allowing the improvement of the best known upper bound for one of the instances.]]> Sat 24 Mar 2018 07:14:59 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:21967 Sat 24 Mar 2018 07:14:33 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:50640 Mon 31 Jul 2023 16:34:24 AEST ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:16196 Mon 20 Nov 2023 14:25:33 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:16197 Mon 20 Nov 2023 14:22:58 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:40264 Mon 08 Aug 2022 13:40:25 AEST ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:55070 Mon 08 Apr 2024 13:27:57 AEST ]]> https://ogma.newcastle.edu.au/vital/access/manager/Repository/uon:47250 Fri 16 Dec 2022 12:29:24 AEDT ]]>