9,696 research outputs found
Rasbora kottelati Lim 1995
No full textRasbora kottelati Lim, 1995 BE Rasbora kalochroma (non-Bleeker): Eden, 1984: 186 (common in small streams and ditches of the coastal swamp forest areas in the Belait district). Rasbora kottelati Lim, 1995: 66 (Belait district: Seria); Parenti & Meisner, 2003: 43 (upper, middle and lower Belait); Sulaiman & Shahdan, 2003: 64 (Tasek Merimbun); Sulaiman & Shahdan, 2007: 24 (Tasek Merimbun).Published as part of Sulaiman, Zohrah, Hui, Tan Heok & Lim, Kelvin Kok Peng, 2018, Annotated checklist of freshwater fishes from Brunei Darussalam, Borneo in Zootaxa 4379 (1), DOI: 10.11646/zootaxa.4379.1.2, http://zenodo.org/record/117231
INTEGRATED ECOLOGICAL PLANNING IN SINGAPORE: NEOTIEWPIA ECO-VILLAGE IN BUSTLING METROPOLITAN
No full textABSTRACT :The Neotiewpia Eco-Village is located within the Lim Chu Kang district at the north of Singapore. The Eco-Village only comprised of 3.5 sq km. Meanwhile the area was
dominated by farms, chalets and Sungei Buloh Wetland Reserve. In 2006, National University of Singapore, School of Design and Environment (SDE), MSc. Environmental Management and Nature Society of Singapore initiated an ecological planning exercise within the Neotiewpia site
to reduce the environmental impact from the development while providing Eco-friendly Tourism and R&D activities that feasible in the site. We did participate in the exercise and we tried explaining the ecological process, the limitation and potential development for integrated
ecological planning framework in Developing Countries like Indonesia, Brazil, etc with high ecological-values ecosystems. The Vision of Neotiewpia was “A Model Eco-Village that Respects its Natural Heritage, Builds Strong Community Links and Promotes Economic Development on Nature’s Premises." And Neotiewpia was successfully planned and designed with integrated ecological planning approach. It embraced the land evaluation and impact assessment. Further the plan was found feasible by the Singapore Government by earmarking the Lim Chu Kang and Kranji for Agri-tainment development in 2008 (although partially
implemented). The Neotiewpia or Lim Chu Kang area was found thriving with Green-Economy and Agro-Tourism. This integrated ecological planning could be translated to other areas in Developing Countries with agriculture potential and facing development pressures such as Neotiewpia. This concept would give alternate Green-Solution to the current economic crisis
Photograph - Bursill, Dr Les, Physics, David Dryden and Peng Tu Lim. Faculty of Science, viewing atomic-scale surface images 1987
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/283999Bursill, Dr Les, Physics (left), David Dryden and Peng Tu Lim[?]. Faculty of Science, viewing atomic-scale surface images 1987286869
Item: [2003.0003.00977] "Photograph - Bursill, Dr Les, Physics, David Dryden and Peng Tu Lim. Faculty of Science, viewing atomic-scale surface images 1987
Reliable H∞ static output control of linear time-varying delay systems against sensor failures
No full textAbstract not availableMouquan Shen, Cheng-Chew Lim and Peng Sh
Event-triggered control for networked Markovian jump systems
No full textPublished online: 4 November 2014Abstract not available.Huijiao Wang, Peng Shi, Cheng-Chew Lim, and Qianqian Xu
Functional observer based controller for stabilizing Takagi-Sugeno fuzzy systems with time-delays
No full textAvailable online 15 March 2018Abstract not availableSyed Imranul Islam, Cheng-Chew Lim, Peng Sh
H-/L-infinity fault detection observer design for linear parameter-varying systems
No full textAbstract not availableZhenhua Wang, Cheng-Chew Lim, Peng Shi, Yi She
Relief supplies allocation and optimization by interval and fuzzy number approaches
No full textAbstract not availableJunhu Ruan, Peng Shi, Cheng-Chew Lim, Xuping Wan
Moving horizon estimation for Markov jump systems
No full textAbstract not availableQing Sun, Cheng-Chew Lim, Peng Shi, Fei Li
Statistical appraisal in solving some medical problems / Lim Fong Peng
No full textInterest in some medical problems has raised the need for the development of appropriate statistical techniques in order to provide reliable solutions. We look at two
local medical scenarios which are of current interest; firstly, identifying the optimal number of lymph nodes removed for maximizing the survival and adequate nodal
staging of local breast cancer patients, and secondly, studying the outlier detection in cross-over design for kinesiology study. In this thesis, we will discuss alternative and new methods to provide the solution to the scenarios above. For the breast cancer study, we investigate the influence of the number of lymph nodes removed (LNR) on survival of breast cancer patients using Chi-square test of independence and Wilcoxon test. We proceed to find the best-fitted logistic and Cox’s regression models using forward selection and Bayesian model averaging procedures. The models are then used to assess the prognostic values of independent factors for survival at all thresholds of the number of LNR. For both types of regression models, we use not only the Wald statistic but also present the use of the Akaike Information Criterion to determine the optimal number of LNR which results in maximum differential in survival of the breast cancer patients. Similar procedure will be extended to the case of finding the dependence of number of LNR to the adequate nodal staging of the patients. For the kinesiology study, we employ both non-Bayesian and Bayesian framework to detect outliers in a 2 × 2 cross-over design. We consider the mixed model with different factors representing subject, period, treatment and carry-over effects. In non-Bayesian framework, we consider the classical studentized residual and provide a studentized residual using median absolute deviation to identify possible outlying subjects. The performances of both procedures in detecting subject outliers are compared via simulation. On the other hand, in Bayesian framework, we assume that the random subject effect and the errors are normal distributed. However, the outlying subjects come from normal distribution with different variance. Due to the complexity of the resulting joint posterior distribution, we obtain the information on the posterior distribution from samples by using Markov Chain Monte Carlo method. We use two real data sets, the Malaysian Breast Cancer data and kinesiology data, obtained from the University of Malaya Medical Centre (UMMC). This study is able to provide solutions to the problems which are very beneficial to the local medical practitioners. The findings are very important as guidelines in the surgical management of breast cancer patients and in the usage of kinesiotapes in sports
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