7,324 research outputs found
Transkrip wawancara bersama Mohd Azmi Mat Nor bekas guru Sekolah Kebangsaan Kuala Krai / Nur Izzati Hanapi and Muhammad Aiman Anuar
No full textTemubual ini adalah antara bekas guru Sekolah Kebangsaan Kuala Krai, Encik Azmi Mat Nor dan pelajar Fakulti Pengurusan Maklumat, Nur Izzati binti Hanapi dan Muhammad Aiman bin Anuar. Temubual ini mengandungi temubual bersama Encik Azmi bin Mat Nor mengenai pengalaman dan pengetahuan beliau tentang sejarah bangunan Sekolah Kebangsaan Kuala Krai semasa mengajar di sekolah tersebut. Transkrip temubual ini telah dijalankan di rumah beliau di PT 1254, Kg Air Terjun Tok Bali, Kelantan pada 10 Mei 2019 bermula jam 8.47 pagi hingga 11.30 pagi. Beliau merupakan bekas guru di Sekolah Kebangsaan Kuala krai dan juga merupakan salah seorang mangsa banjir besar yang telah melanda Kelantan pada tahun 2014. Sekolah Kebangsaan Kuala Krai juga merupakan salah sebuah bangunan yang dilanda banjir besar tersebut. Temubual ini menumpukan pada sejarah bangunan sejak penubuhan dan ciri-ciri bangunan tersebut yang mampu menahan banjir besar Kelantan 2014
Talent classification using support vector machine technique / Hamidah Jantan, Norazmah Mat Yusof and Mohd Hanapi Abdul Latif
No full textDatabase or data warehouse is rich with hidden information that can be used to provide intelligent decision using data mining technique. Data mining is a widely used approach for knowledge discovery in machine learning. Besides, classification and prediction are among the popular tasks in machine learning especially for information elicitation. There are many areas adapted this approach such as in finance, medical, marketing, stock, telecommunication, manufacturing, health care, education, customer relationship and etc. However, the used of this approach has not attracted much attention in Human Resource (HR) field. Databases in HR can provide a rich resource for knowledge discovery especially for HR intelligent decision system development. Soft computing technique is used for information processing by employing methods, which are capable to deal with imprecision and uncertainty issues. By implementing soft computing techniques in data mining especially in HR field can enhance the knowledge discovery process for intelligent decision system. Support Vector Machine (SVM) is among the popular learning algorithm for classification in soft computing techniques. Due to that reason, this study attempts to use SVM algorithm on employee’s performance databases for talent classification. The objective of this study is to suggest the potential classification model for talent forecasting throughout some experiments using SVM learning algorithm. In the experimental phase, we use employee’s performance data from selected organization to develop talent classification model which can be used to handle some tasks in talent management. At the end, the aim of this study is to develop a prototype system using proposed classification model for talent forecasting.
Managing talent is among the challenges of HR professionals, especially to ensure the right person for the right job at the right time. Besides, identifying existing talent in an organization is among the top talent management challenge. This task requires a lot of managerial decisions, which are sometimes quite uncertain and difficult. HR decisions depend on various factors such as human experienc
Meditation Awareness Training (MAT) for work-related wellbeing and job performance: a randomised controlled trial
No full textDue to its potential to concurrently improve work-related wellbeing (WRW) and job performance, occupational stakeholders are becoming increasingly interested in the applications of meditation. The present study conducted the first randomized controlled trial to assess the effects of meditation on outcomes relating to both WRW and job performance. Office-based middle-hierarchy managers (n = 152) received an eight-week meditation intervention (Meditation Awareness Training; MAT) or an active control intervention. MAT participants demonstrated significant and sustainable improvements (with strong effect sizes) over control-group participants in levels of work-related stress, job satisfaction, psychological distress, and employer-rated job performance. There are a number of novel implications: (i) meditation can effectuate a perceptual shift in how employees experience their work and psychological environment and may thus constitute a cost-effective WRW intervention, (ii) meditation-based (i.e., present-moment-focussed) working styles may be more effective than goal-based (i.e., future-orientated) working styles, and (iii) meditation may reduce the separation made by employees between their own interests and those of the organizations they work for
Synthesis and characterization of sulfur-functionalized silica nanocapsules as mercury adsorbents
No full textSulfur functionalized silica nanocapsules (S-SiNC) was successfully synthesized and characterized as a potential adsorbent for industrial applications. The synthesis of S-SiNC was carried out using the mircoemulsion templating method using cetyltrimethylammonium bromide (CTAB) as cationic surfactant, toluene as co-solvent, ammonia solution as catalyst, and tetraethylorthosilicate (TEOS) as the silica base. The S-SiNC adsorbent was characterized using Transmission Electron Microscope, Fourier Transformed Infra Red spectroscopy and nitrogen adsorption/desorption analysis. The physical and chemical properties of the SiNC changed as a result of the functionalization, hence affecting the extent of Hg(II) adsorption. The S-SiNCs were also tested in mercury ion [Hg(II)] adsorption via batch adsorption process with variation in initial Hg (II) concentration. It was found that there is a significant improvement in Hg(II) adsorption performance after being functionalized with elemental sulfur. The highest Hg(II) adsorption capacity was obtained for S-SiNC (107.875 mg/g), which significantly outperformed the blank SiNC. The experimental data obtained was found to be fitting well to the Langmuir isotherm model (R2= 0.979) compared to Freundlich isotherm model. Thus, the results demonstrated the potential application of sulfur functionalized silica nanocapsules as adsorbent in industrial applications
Voorlopige resultaten proeven Zinkcon mat
No full textResultaten proeven met de Zinkcon mat in de stroomgoot in Lith op ware grootte.KWP-collectio
Total phenolic content and the antioxidant activity of clinacanthus nutans extract
No full textIntroduction: Clinacanthus nutans is used as natural nutraceuticals for prevention and treatment of cancer. The purpose of this study is to (i) determine the total phenolic content and antioxidant scavenging capacities of C. nutans in free and bound phenolic acid and (ii) study the relationship between TPC and antioxidant scavenging capacities of C. nutans. Methods: The total phenolic contents were measured using Folin-Ciocalteu assay. Free and bound phenolic were examined by using spectrophotometer while antioxidant capacity were evaluated using DPPH (2, 2-diphenyl-1-picrylhydrazyl) scavenging activity assay. Results: Insoluble phenolic acids showed the highest amount of total phenolic content in C. nutans extracts (6.09+ 0.45 mg gallic acid equivalent (GAE)/ g DW) and exhibited highest antioxidant activity (73.3+0.82 %) as compared to free and soluble phenolic extracts. The IC50 values for free phenolic, soluble bound and insoluble bound phenolic extracts were 0.69+0.02 mg/mL, 0.64+0.04 and 0.60+0.006 mg/mL, respectively. There were positive correlation between insoluble bound phenolic content of C. nutans extracts with antioxidant radical scavenging capacity (R2 = 0.893). Conclusions: These results indicate that different phenolic acid forms affect the total phenolic content and antioxidant properties. Natural compounds such as phenolics from C. nutans could be a good source of antioxidant
Total phenolics contents and free radical scavenging capacity of piper sarmentosum (pucuk kaduk) extract
No full textApplying the method of fundamental solutions to harmonic problems with singular boundary conditions
No full textThe method of fundamental solutions (MFS) is known to produce highly accurate numerical results for elliptic boundary value problems (BVP) with smooth boundary conditions, posed in analytic domains. However, due to the analyticity of the shape
functions in its approximation basis, theMFS is usually disregarded when the boundary functions possess singularities. In this work we present a modification of the classical MFS which can be applied for the numerical solution of the Laplace BVP with Dirichlet boundary conditions exhibiting jump discontinuities. In particular, a set of harmonic functions with discontinuous boundary traces is added to the MFS basis. The accuracy of the proposed method is compared with the results form the classical MFS.The financial support from Center for Computational and Stochastic Mathematics (CEMAT–IST) through Fundac¸ ˜ao para a Ciˆencia e a Tecnologia (FCT) projects PEst-OE/MAT/UI0822/2014 and EXCL/MAT-NAN/0114/2012 is gratefully acknowledged
Fotoreportage Samenstellen van de mat voor de grote legproef II
No full textFoto’s van het maken van een proefmat (gaasmat verschillende lagen met filtermateriaal), het oprollen van de mat; bij de fabriek in Kats
The proposed goodyear modular mat type scrap tire floating breakwater
No full textScrap tires are proposed as a construction material for building large floating mat type breakwater devices. The Goodyear scrap tire floating breakwater assemblies are formed by securing together modular bundles of tightly interlocked scrap tires with high strength rope/cable, or special corrosion resistant steel rods. This construction procedure yields an easily installed, readily adaptable breakwater structure which has high energy absorbing capacity for normal loading conditions but which deforms and yields when subjected to overloads. The proposed designs rely on a modular bundle concept where a relatively few tires are secured together to form a small easily assemble de portable building unit which,serves as a basic building block from which giant breakwater devices can be constructed. Flotation is provided by placing a small amount of buoyant material in the crown of each tire or by filling approximately 10%) of the tires with buoyant foam. The design possibilities using scrap tire building modules are virtually limiless. Tires may be laced together to form large flat single or multiple thickness shallow mats. They may be stacked vertically in single or multiple thickness bundles like bricks in a wall to form curtain type barriers. Variutions in breakwater draft are made possible by adding modules above or below to vary the thickness and by combining constructions such as hanging a curtain on a mat structure. Also, mats with varying buoyancy may be moored on an incline for more efficient energy absorption
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