https://nova.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46783 Wed 30 Nov 2022 13:21:45 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:16727 Wed 28 Aug 2024 14:51:24 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48605 Wed 22 Mar 2023 09:01:15 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52611 Wed 18 Oct 2023 13:46:35 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:56001 Wed 17 Jul 2024 13:32:23 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37970 Wed 14 Jul 2021 15:08:36 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44367 Wed 12 Oct 2022 10:10:29 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:8710 Wed 11 Apr 2018 17:01:58 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:9001 Wed 11 Apr 2018 16:34:19 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30182 Wed 11 Apr 2018 15:08:41 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:24097 Wed 11 Apr 2018 14:05:51 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26281 Wed 11 Apr 2018 13:51:39 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:12661 Wed 11 Apr 2018 13:50:58 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:14886 Wed 11 Apr 2018 13:26:34 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:19404 Wed 11 Apr 2018 13:19:57 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:15869 Wed 11 Apr 2018 12:07:07 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:17149 Wed 11 Apr 2018 10:35:04 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33964 Helicteres hirsuta Lour. (H. hirsuta), which has been used as a traditional medicine for malaria and diabetes treatment. Results showed that either ultrasonic temperature or sample-to-solvent ratio had a greater influence on extraction efficiency of total phenolics, flavonoids and antioxidant capacity than that of methanol concentration. Optimal extraction conditions were determined to be ultrasonic temperature of 60 °C, ultrasonic time of 25 min, ultrasonic power of 150W, sample-to-solvent ratio of 3:100 g/mL, and a solvent composition of 40% (v/v) aqueous methanol. Under these conditions, 15.97 mg GAE/g of phenolics, 16.42 mg CE/g of flavonoids, and 13.34 g/100 g of extractable solids were obtained. The highest values for DPPH, ABTS and FRAP assays were also obtained under these conditions, with the exception of CUPRAC (88% maximum value). These optimal extraction conditions can be applied to prepare powdered crude extract for further isolation and purification of individual bioactive compounds for potential use in the pharmaceutical industry.]]> Wed 09 Feb 2022 15:54:39 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47393 Wed 06 Mar 2024 15:04:48 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44032 Wed 05 Oct 2022 15:18:34 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:17655 Wed 05 Dec 2018 13:50:25 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29307 Wed 04 Sep 2019 12:18:15 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34621 Wed 04 Sep 2019 09:56:30 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34649 Wed 04 Sep 2019 09:49:47 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38141 Wed 04 Aug 2021 15:56:29 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35971 Wed 01 Jul 2020 11:14:42 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46670 3/h were selected and randomly divided into two groups. In all, 238 wells (70%) were used for training the models and 101 wells (30%) were used for testing and validating the models. Fifteen conditioning factors were selected as input parameters for the modeling. The accuracy of the groundwater potential maps for the study area was determined using root mean squared error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE), and standard deviation of error (SD), as well as the area under the receiver operating characteristic (ROC) curve (AUC). Overall, the results demonstrated that ANFIS-GA had the highest prediction capability (AUC = 0.915) for groundwater potential mapping followed by ANFIS-BBO (0.903), entropy (0.862), FR (0.86), ANFIS-SA (0.83), ANFIS (0.82) and EBF (0.80). According to the entropy model, land-use, soil order and rainfall factors had the highest impact on groundwater potential in the study area. The results of this research show that the ANFIS models combined with meta-heuristic optimization algorithms can be a useful decision-making tool for assessment and management of groundwater resources.]]> Tue 29 Nov 2022 08:50:38 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47680 Tue 24 Jan 2023 20:13:40 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42407 Tue 23 Aug 2022 08:27:15 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42405 Does optimizing the implementation of an optimization algorithm pay off? Do bugs matter? and Is using more complicated but also more efficient data structures worth the effort? The intuitive answer to all of these questions is yes, but there is little published evidence. To bridge this gap, we use one of the most studied combinatorial optimization problems-the Traveling Salesman Problem-as a test bed and implement two state-of-the-art approaches for solving it-the Lin-Kernighan Heuristic and an Ejection Chain Method. We investigate implementation effort and performance gain, in order to provide further insights to the above questions.]]> Tue 23 Aug 2022 08:24:02 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45916 Tue 08 Nov 2022 09:32:21 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:22030 Tue 04 Jun 2019 13:31:59 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34443 Tue 03 Sep 2019 18:00:49 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50651 Tue 01 Aug 2023 11:28:31 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50036 Thu 29 Jun 2023 14:10:42 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45149 Thu 27 Oct 2022 14:34:48 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42563 Thu 25 Aug 2022 11:12:18 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53373 Thu 23 Nov 2023 11:03:52 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36162 Thu 20 Feb 2020 14:45:24 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32269 Thu 17 May 2018 13:09:25 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43263 Thu 15 Sep 2022 11:13:27 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48860 Thu 13 Apr 2023 09:53:23 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40628 Thu 11 Aug 2022 11:14:14 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:55036 Thu 04 Apr 2024 12:27:38 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:9420 Sat 24 Mar 2018 10:47:06 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:31482 Sat 24 Mar 2018 08:45:13 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:8875 Sat 24 Mar 2018 08:40:44 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:8878 Sat 24 Mar 2018 08:40:43 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:9659 Sat 24 Mar 2018 08:39:27 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:7061 Sat 24 Mar 2018 08:37:58 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:8188 Sat 24 Mar 2018 08:36:15 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:8090 Sat 24 Mar 2018 08:34:27 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:15342 Sat 24 Mar 2018 08:26:44 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:12540 Sat 24 Mar 2018 08:17:29 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:12821 Sat 24 Mar 2018 08:17:17 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:10927 Sat 24 Mar 2018 08:13:22 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:12020 Sat 24 Mar 2018 08:12:08 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:11652 Sat 24 Mar 2018 08:10:39 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:18272 Sat 24 Mar 2018 08:04:23 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21053 Sat 24 Mar 2018 08:00:35 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:16269 Sat 24 Mar 2018 07:54:16 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:16845 Sat 24 Mar 2018 07:53:28 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:18495 Sat 24 Mar 2018 07:51:21 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:19994 Sat 24 Mar 2018 07:50:48 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26112 Sat 24 Mar 2018 07:41:07 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:27701 ∈MOEA) using two case studies based on the urban water resource systems serving two major Australian cities. The case study problems involved two or three objectives and 10 or 13 decision variables affecting infrastructure investment and system operation. The results show that NSGA-II was the worst performing method. However, none of the remaining methods was unambiguously superior. For example, while EMOACO-I converged more rapidly, its diversity was comparable but not superior to the other methods. Greater differences in performance were found as the number of objectives and case study complexity increased. This suggests that pooling the results from a number of methods could help guard against the vagaries in performance of individual methods.]]> Sat 24 Mar 2018 07:40:10 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29271 Sat 24 Mar 2018 07:39:16 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25387 Sat 24 Mar 2018 07:39:08 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:28815 Sat 24 Mar 2018 07:38:26 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29215 Sat 24 Mar 2018 07:36:46 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29410 Sat 24 Mar 2018 07:36:15 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29183 Sat 24 Mar 2018 07:35:43 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:28714 Sat 24 Mar 2018 07:35:42 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25463 Sat 24 Mar 2018 07:32:02 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:28535 Sat 24 Mar 2018 07:28:48 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:28560 Sat 24 Mar 2018 07:28:44 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26757 Sat 24 Mar 2018 07:24:44 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26325 Sat 24 Mar 2018 07:24:12 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:24809 Sat 24 Mar 2018 07:15:14 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:23414 Euphorbia tirucalli (E. tirucalli) has been linked with various health benefits. This study aimed to optimize ultrasonic extraction conditions for euphol from E. tirucalli leaf. Different solvents were tested to determine the most effective solvent for extraction of euphol. Then, response surface methodology (RSM) was employed to optimize ultrasound-assisted extraction conditions including temperature, time and power for maximal extraction of euphol. Our results showed that ethyl acetate:ethanol (4:1, v/v) was the most effective solvent for the extraction of euphol. Ultrasonic temperature and time had a positive impact, whereas, ultrasonic power had a negative effect on the extraction efficiency of euphol. The optimum ultrasonic extraction conditions for euphol were identified as: solvent-to-fresh sample ratio of 100:32 mL/g; ultrasonic temperature of 60 °C; ultrasonic time of 75 min and ultrasonic power of 60% (150 W). Under these optimum conditions, approximately 4.06 mg of euphol could be obtained from one gram of fresh E. tirucalli leaf. This extract also contained phenolic compounds (2.5 mg GAE/g FW) and possessed potent antioxidant capacity. These optimal conditions are applicable for a larger scale to extract and isolate euphol for potential utilization in the pharmaceutical industry. Keywords]]> Sat 24 Mar 2018 07:13:54 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:23315 Sat 24 Mar 2018 07:13:32 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44779 Mon 29 Jan 2024 18:31:50 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47174 Mon 29 Jan 2024 18:03:37 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37403 Mon 29 Apr 2024 14:14:44 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:11462 Mon 26 Aug 2024 10:51:08 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32038 Mon 23 Sep 2019 13:42:04 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54325 Mon 15 Jul 2024 13:54:32 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35323 Mon 15 Jul 2019 15:33:24 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32202 Mon 14 May 2018 11:18:16 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54182 Mon 12 Feb 2024 13:40:09 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:56131 Mon 05 Aug 2024 17:44:17 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34040 Mon 04 Feb 2019 15:01:53 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36008 Fri 24 Jan 2020 12:38:14 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33060 Phyllanthus amarus. The findings indicated that the optimal MAE parameters consisted of 100% methanol, irradiation time 4 s/min, extraction time 50 min, and solvent to sample ratio 50 mL/g. Under these optimal parameters, saponin content (SC), saponin extraction efficiency (SEE), and total phenolic content (TPC) of P. amarus were 229.5 mg escin equivalents (EEs)/g dried sample, 82.8%, and 40.7 mg gallic acid equivalents (GAEs)/g dried sample, respectively. The antioxidant capacity of P. amarus in terms of 2,2'-azino-bis(3-ethylbenzothiazoline-6-sulphonic acid) radical scavenging capacity (ARSC), 2,2-diphenyl-1-picryl-hydrazil radical scavenging capacity (DRSC), and ferric reducing antioxidant power (FRAP) were 487.3, 330.6, and 233.5 mg trolox equivalents (TEs)/g dried sample, respectively. These measured values were not significantly different from the predicted values by response surface methodology (227.9 mg EE/g dried sample, 82.1%, and 39.2 mg GAE/g dried sample for SC, SEE, and TPC and 484.8, 297.3, and 226.6 mg TE/g dried sample for ARSC, DRSC, and FRAP, respectively). Hence, the optimal MAE parameters are suggested for effective extraction of saponins from P. amarus for further investigations and applications.]]> Fri 24 Aug 2018 12:55:58 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40465 2 emission level up to 6.06 kg, while meeting electric vehicle user's energy and delay requirements.]]> Fri 22 Jul 2022 14:58:23 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40427 p-center problem which addresses the difficulty of minimizing the maximum distance that a demand or population is from its closet facility given that p facilities are to be located. The third category refers to those designed to minimize the average weighted distance or time. This objective leads to a location problem known as the p-median problem. The p-median problem finds the location of p facilities to minimize the demand weighted average or total distance between demand or population and their closest facility. The objective of this study is to discuss the importance of the application of optimization models (maximal covering location and the p-median models) to locate health care facilities. We apply the p-median models and the maximal covering location models to real data from Mackay metropolitan area in Queensland, Australia. We compare the two models using the real data and with existing ambulance stations. The study shows that the p-median model gives a better solution than the maximal covering location model. We also noted that the results of the maximal covering location model depend on the pre-determined weighted coverage distance.]]> Fri 22 Jul 2022 14:30:27 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35926 Fri 17 Jan 2020 10:46:08 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35609 Fri 13 Sep 2019 16:26:43 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41497 Fri 05 Aug 2022 10:04:13 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45751 Fri 04 Nov 2022 10:34:04 AEDT ]]>