Kuala Selangor, Malaysia

University Putra Malaysia

Kuala Selangor, Malaysia

Universiti Putra Malaysia , or UPM, is recognised by the independent government assessments as one of Malaysia's leading research Universities. Founded in 1931 as the School of Agriculture, the University today combines impressive modern facilities and a dynamic approach to teaching and research with its proud heritage of quality services and achievements. UPM main campus located in central Peninsular Malaysia, close to the capital city, Kuala Lumpur and next to Malaysia’s administrative capital city, Putrajaya. It was formerly known as Universiti Pertanian Malaysia or Agricultural University of Malaysia. UPM is a research university offering undergraduate and postgraduate courses with a research focus on agricultural science and its related fields. It was ranked as the joint 376th best university in the world in 2014 by Quacquarelli Symonds. Wikipedia.

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University Putra Malaysia | Date: 2016-03-23

The present invention provides a method for the isolation of nucleic acid from microbial cells in an environmental sample. The method includes preparing a suspension of the environmental sample, lysing the suspended sample with a buffered solution, adding sodium dodecylsulfate solution to the lysed suspended sample, carrying out solvent extraction and separation to obtain an aqueous phase, reacting the aqueous phase with solvents to generate an insoluble precipitate containing nucleic acid, and isolating the nucleic acid therefrom, thereby releasing high molecular weight nucleic acid pellets from the cells.

The present innovation relates to a method for a placement of Internet Gateway (IGW) in a Backbone Wireless Mesh Networks (BWMNs) comprising: selecting the proper IGW (100); calculating the largest path the one degree nodes can reach with delay constraint (200); assigning Web Mesh Routers (WMRs) nodes to the identified IGW (300); forming a cluster with the largest degree node is the identified IGW (400); recalculating the position of IGW for intra-load balancing (500); assigning the node that has the maximum load radio to be the new IGW of the cluster (600); updating the rest of BWMN nodes (700); and forming the next clusters until no more WMR left (800). The present invention provides IGWs placement in the design phase while satisfying load balancing among IGWs and WMRs and under QoS constraints. The balancing acts encompass balancing over the load among IGWs of the entire BWMN and balancing over the load among WMRs of the entire BWMN.

University Putra Malaysia and Ministry Of Agriculture | Date: 2017-04-26

The present invention discloses extracts Morinda, Orthosiphon, Clinicanthus, Ficus, Labisia and Gynurea spp. function to enhance bone growth, prevent bone resorption disorders and for joint health (anti-arthritis), and that when the Morinda, Orthosiphon, Clinicanthus, Ficus, Labisia and Gynurea extracts are administered to model rodent, osteopenia, arthritis, bone and joint ailments or bone fracture is treated or reduced, thereby completing the present invention.

Agency: European Commission | Branch: H2020 | Program: RIA | Phase: EINFRA-1-2014 | Award Amount: 8.65M | Year: 2015

Over the last decade, the European Grid Infrastructure (EGI) has built a distributed computing and data infrastructure to support over 21,000 researchers from many disciplines with unprecedented data analysis capabilities. EGI builds on the European and national investments and relies on the expertise of EGI.eu - a not-for-profit foundation that provides coordination to the EGI Community, including user groups, EGI.eu participants in the EGI Council, and the other collaborating partners. The mission of EGI-Engage is to accelerate the implementation of the Open Science Commons vision, where researchers from all disciplines have easy and open access to the innovative digital services, data, knowledge and expertise they need for their work. The Open Science Commons is grounded on three pillars: the e-Infrastructure Commons, an ecosystem of key services; the Open Data Commons, where any researcher can access, use and reuse data; and the Knowledge Commons, in which communities have shared ownership of knowledge and participate in the co-development of software and are technically supported to exploit state-of-the-art digital services. EGI-Engage will expand the capabilities offered to scientists (e.g. improved cloud or data services) and the spectrum of its user base by engaging with large Research Infrastructures (RIs), the long-tail of science and industry/SMEs. The main engagement instrument will be a network of eight Competence Centres, where National Grid Initiatives (NGIs), user communities, technology and service providers will join forces to collect requirements, integrate community-specific applications into state-of-the-art services, foster interoperability across e-Infrastructures, and evolve services through a user-centric development model. The project will also coordinate the NGI efforts to support the long-tail of science by developing ad hoc access policies and by providing services and resources that will lower barriers and learning curves.

Mohamed S.,University Putra Malaysia
Trends in Food Science and Technology | Year: 2014

Metabolic syndrome is a condition of at least three of the cardiovascular risk factors: obesity, excessive visceral fat storage, dyslipidemia, hypertension and hyperglycaemia or Type 2 diabetes. It is a state of insulin resistance, oxidative stress and chronic inflammation. Cardiovascular disease is the highest cause of death globally. Certain dietary components and over 800 plants help prevent or moderate metabolic syndrome by assisting the body homeostasis mechanisms. This review compiles the most current studies on foods that help fight metabolic syndrome and the scientific evidences to support their use. This includes functional fats, digestive enzymes inhibitors, various beverages, different fruits, specific vegetables, grains, legumes, herbs and spices that can reduce cardiovascular disease risk, through several cellular mechanisms. © 2013 Elsevier Ltd.

Jordehi A.R.,University Putra Malaysia
Applied Soft Computing Journal | Year: 2015

Particle swarm optimisation (PSO) is a well-established optimisation algorithm inspired from flocking behaviour of birds. The big problem in PSO is that it suffers from premature convergence, that is, in complex optimisation problems, it may easily get trapped in local optima. In this paper, a new PSO variant, named as enhanced leader PSO (ELPSO), is proposed for mitigating premature convergence problem. ELPSO is mainly based on a five-staged successive mutation strategy which is applied to swarm leader at each iteration. The experimental results confirm that in all terms of accuracy, scalability and convergence rate, ELPSO performs well. © 2014 Elsevier B.V. All rights reserved.

The purpose of the present study is to compare the prediction performances of three different approaches such as decision tree (DT), support vector machine (SVM) and adaptive neuro-fuzzy inference system (ANFIS) for landslide susceptibility mapping at Penang Hill area, Malaysia. The necessary input parameters for the landslide susceptibility assessments were obtained from various sources. At first, landslide locations were identified by aerial photographs and field surveys and a total of 113 landslide locations were constructed. The study area contains 340,608. pixels while total 8403. pixels include landslides. The landslide inventory was randomly partitioned into two subsets: (1) part 1 that contains 50% (4000 landslide grid cells) was used in the training phase of the models; (2) part 2 is a validation dataset 50% (4000 landslide grid cells) for validation of three models and to confirm its accuracy. The digitally processed images of input parameters were combined in GIS. Finally, landslide susceptibility maps were produced, and the performances were assessed and discussed. Total fifteen landslide susceptibility maps were produced using DT, SVM and ANFIS based models, and the resultant maps were validated using the landslide locations. Prediction performances of these maps were checked by receiver operating characteristics (ROC) by using both success rate curve and prediction rate curve. The validation results showed that, area under the ROC curve for the fifteen models produced using DT, SVM and ANFIS varied from 0.8204 to 0.9421 for success rate curve and 0.7580 to 0.8307 for prediction rate curves, respectively. Moreover, the prediction curves revealed that model 5 of DT has slightly higher prediction performance (83.07), whereas the success rate showed that model 5 of ANFIS has better prediction (94.21) capability among all models. The results of this study showed that landslide susceptibility mapping in the Penang Hill area using the three approaches (e.g., DT, SVM and ANFIS) is viable. As far as the performance of the models are concerned, the results appeared to be quite satisfactory, i.e., the zones determined on the map being zones of relative susceptibility. © 2012 Elsevier Ltd.

The Regents Of The University Of California and University Putra Malaysia | Date: 2016-09-29

An extract of Carica papaya leaves obtained from a plant of age six months and younger from the date of germination of the seed is used as an inhibitor of HIF to effectively block hypoxia-inducible factor (HIF) function and methods of use thereof. More specifically it relates to the use of the Carica papaya plant extract to eliminate unwanted cells by inhibiting HIF in the prevention and treatment of hypoxia-related conditions and diseases such as inflammatory diseases, vascular diseases, cancer and infectious diseases. In a particular embodiment, a solid hypoxic tumor in a patient is treated by administering to the patient a therapeutically acceptable amount of an extract of Carica papaya leaves obtained from a plant of age six months and younger from the date of germination of the seed, preferably an alcohol extract such as a methanol extract, whereby to inhibit hypoxia-inducible factors in the tumor.

University Putra Malaysia | Date: 2015-10-19

The present invention discloses a novel antitumour agent which provides an antitumour activity based on metabolites with reduced side effects. Moreover, the antitumour agent is prepared starting with a highly safe bacterium used in food production, which is a probiotic lactic acid bacterium.

University Putra Malaysia | Date: 2015-03-27

A flexible supercapacitor comprising an electrolyte sandwiched between nickel foams electrodeposited with a nano-composite. The nanocomposite comprises of a conducting polymer, graphene oxide and a metal oxide. Process of fabricating the flexible supercapacitor is also provided. The process comprises electrodepositing a nanocomposite electro-potentiostatically on a nickel foam from an aqueous solution comprising of a conducting monomer, graphene oxide and a metal salt, placed in one compartment cell followed by compressing an electrolyte between at least two layers of electrodeposited nickel foams.

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