https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47428 Wed 28 Feb 2024 15:19:54 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54609 Wed 13 Mar 2024 13:42:29 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:14824 Wed 11 Apr 2018 17:22:21 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:17285 Wed 11 Apr 2018 13:47:25 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37429 Wed 02 Dec 2020 11:02:10 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34033 Tue 03 Sep 2019 18:30:23 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54914 Thu 21 Mar 2024 12:03:59 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37014 LO and Ly6G⁻Ly6C^HI monocytes. Our results indicate that infiltrating immune cells persist in ischemic tissue after the acute ischemic phase, and are increased in sites of SND. Importantly, immune cells have been shown to play pivotal roles in both damage and repair processes after stroke. Our findings indicate that immune cells may also be involved in the pathogenesis of SND and further clinical studies are warranted to characterise the nature of inflammatory cell infiltrates in human disease.]]> Thu 17 Feb 2022 09:29:32 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:19857 Sat 24 Mar 2018 07:57:03 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:74 Sat 24 Mar 2018 07:42:09 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28103 Sat 24 Mar 2018 07:24:55 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32351 fs, of an unmanaged field affected by fire by means of single-ring infiltrometer runs and the use of transient and steady-state data analysis procedures. Sampling and measurements were carried out in 2012 and 2017 in a fire-affected field (burnt site) and in a neighboring non-affected site (control site). The predictive potential of different data analysis procedures (i.e., transient and steady-state) to yield proper K_fs estimates was investigated. In particular, the transient WU1 method and the BB, WU2 and OPD methods were compared. The cumulative linearization (CL) method was used to apply the WU1 method. Values of K_fs ranging from 0.87 to 4.21 mm·h^-1 were obtained, depending on the considered data analysis method. The WU1 method did not yield significantly different K_fs estimates between the sampled sites throughout the five-year period, due to the generally poor performance of the CL method, which spoiled the soil hydraulic characterization. In particular, good fits were only obtained in 23% of the cases. The BB, WU2 and the OPD methods, with a characterization based exclusively on a stabilized infiltration process, yielded an appreciably lower variability of the K_fs data as compared with the WU1 method. It was concluded that steady-state methods were more appropriate for detecting slight changes of K_fs in post-fire soil hydraulic characterizations. Our results showed a certain degree of soil degradation at the burnt site with an immediate reduction of the soil organic matter and a progressive increase of the soil bulk density during the five years following the fire. This general impoverishment resulted in a slight but significant decrease in the field-saturated soil hydraulic conductivity.]]> Mon 23 Sep 2019 13:14:44 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30858 Mon 12 Apr 2021 15:42:21 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34866 50. The size of the representative elementary volume (REV) of cracked CCL decreases linearly with the increase in soil LL when LL < 50. The linear fitting result is REV = 90.5 – 1.6 LL, whereas REV change is inconspicuous with a mean value of approximately 10 cm when LL > 50. The sample size of the CCLs for the permeability test must be larger than REV. Before and after three dry-wet cycles, the permeability ratio (K₃/k₀) initially increases and eventually decreases as soil LL increases, and LL at the peak value of K₃/k₀ is 36.1%. However, linear relationships exist between permeability D-value (K₃ − k₀) and soil LL in a semilog coordinate system when LL < 50%, whereas the change in the permeability D-value is inconspicuous with a mean value of approximately 1.67 × 10⁻⁸ cm/s when LL > 50%. The volume and mean width of unclosed cracks are two main factors that determine the increase in permeability after dry-wet cycles. After three dry-wet cycles, these factors decrease as soil LL increases, thereby reducing the permeability D-value.]]> Mon 09 Sep 2024 14:01:24 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33289 Fri 28 Sep 2018 15:54:19 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38002 Fri 23 Jul 2021 14:44:39 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42254 Fri 19 Aug 2022 13:48:24 AEST ]]>