192 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
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
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 textA legal study of the effectiveness of Poisons Act 1952 in regulating possessions of 'Ketum' offence / Mohd Hafizi Hanapi
No full textPossession of 'Ketum' is no strangers and this offence is increasing year by year. Criminals prefer to use 'Ketum' from dangerous drugs because 'Ketum' is easy to find and the price is cheaper than other dangerous drugs. Furthermore, the sentences of possession of 'Ketum' is lower than sentences to other dangerous drugs because 'Ketum' is considered as poison and listed under Poisons Act 1952; not under Dangerous Drugs Act 1952. Heroin is one of the example under dangerous drugs which have same effect with 'Ketum' but it is listed under Dangerous Drugs Act 1952. Hence, the offender will may repeat committing the crime because the sentence is lower and inadequate to give lessons to the offender. This research to analyses about the adequacy of Poisons Act 1952 in regulating possession of 'Ketum' and other relevant statutes that can be used to regulate possession of 'Ketum' comparing with other countries such as Thailand. End of this chapter, the author will show that, Poisons Act 1952 is inadequate in regulating possession of 'Ketum' offences
Investigation of phenotypic characterisation, metabolic profile and energy balance in male KLF3 knockout mice
No full textObesity is a disease characterised by an excess of white adipose tissue (WAT) driven by increased energy intake and/or decreased energy expenditure. Despite intensive research, the mechanisms underlying energy balance and linking obesity with metabolic disorders are not well understood. The use of genetically modified animal models allows understanding of the involvement of specific genes, such as in fat formation and metabolic processes. This can be used to identify targets for prevention or treatment of obesity. Our laboratory has a particular interest in Krüppel-like factor 3 (KLF3), a transcription factor that is involved in the process of adipocyte maturation. The objective of this study was to investigate the role of KLF3 in energy homeostasis, glucose and lipid metabolism in vivo. For this purpose, Klf3-/- mice on an FVB/NJ strain were developed and bred in-house. Only male Klf3-/- mice were used for investigation, and they were fed a standard chow or lard-based high fat diet. Male Klf3-/- mice have reduced body weight on a chow diet, and were resistant to diet-induced weight gain on a high fat diet. The reduced body weight in Klf3-/- mice was not attributed to reduced food intake, increased energy expenditure or increased faecal energy excretion. Instead, the negative energy balance in Klf3-/- mice was, in part, due to increased glucosuria. Klf3-/- mice have improved glucose tolerance and were resistant to diet-induced glucose intolerance. Klf3-/- mice have increased plasma adipolin levels and increased gene expression associated with anti-inflammatory macrophages in epididymal fat, which may contribute to the improved glucose tolerance. Klf3-/- WAT ex vivo was found to have both increased lipolysis and lipogenesis, implying another potential means of energy loss via futile cycling. In conclusion, KLF3 may play important roles in energy homeostasis and metabolism, and could potentially be targeted for treatments of obesity and associated disorders
Liquid membrane extraction of silver from photographic waste
No full textSemiconductor waste can cause a serious problem in term of storage and pollution since it contains high concentration of heavy metals. One of the possible alternatives is to treat this waste by recovering the precious metals such as silver. In this study, an attempt was made to remove the silver selectively from selected semiconductor
waste using leaching, precipitation and liquid-liquid extraction processes. From the characterization study, it was found that the semiconductor waste contains 5.92 % of
silver which mostly existed in the form of Ag and AgCl compounds. Therefore, chloride leaching has been selected to leach silver from the waste by forming soluble silver chloro complexes. The extent of silver leaching increases with increasing the chloride concentration which could be achieved by either increasing the HCl concentration or addition of high NaCl concentration. The process involved could be explained using shrinking-core model which indicated that the leaching rate was controlled by outward diffusion of silver chloro complexes from the particle surface. These complexes are stable especially at pH 12. Thus, pH adjustment on leaching solution was successfully recovered silver selectively and removed copper and iron
precipitate through centrifugation. In the liquid-liquid extraction studies, the extent of silver extraction using Cyanex 272 from leaching solution is low and independent
of pH. This result might due to high stability of silver chloro complexes. Therefore, dithizone has been selected due to its soft donor atom of sulfur which is capable to
bind with soft acid of silver by forming silver dithizonate. This extraction process as able to extract silver selectively up to almost 100 % and dependence of pH. As an overall, the proposed silver recovery procedure can remove more than 45 % of silver from the selected semiconductor waste
Projek cuti sekolah
No full textLANGIT KEHIDUPAN menghimpunkan karya 20 penulis menerusi projek penulisan anekdot dan cerita kehidupan. Layanlah emosi anda dengan membaca aneka coretan pengalaman penulis daripada latar yang berbeza, iaitu: Para pembaca pasti dibuai kenangan silam don pelbagai kenangan lain apabila membaca aneka coretan pengalaman daripada pelbagai latar kerjaya hakiki penulis, yang terdiri daripada Abd Malik Ibrahim, Ateh Salim, Azlinawatty Daraman, Datin Che Normadiah Che Abbas, Prof. Madya Dr. Faridah Nazir, Hamzah Hamdan, Maisarah Ahmad, Dr. Muhammad Zuhair Zainal, Nazim Mohd Subari, Dr. Nor Fasiha Mohd Yusof, Noor Azura Mohd Hanapi, Noor Kasmara Mohd Sokarnor, Nurhaiza Che Mat, Sarinah Mohamed Noordin, Shafinaz Sehat, Suhaila Sharif, Suhailawati Juritah, Shamshul Mardiyyah Bahrum, Syazana Taib, Tan CL
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