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| 1 | Conversion of Malaysian low-rank coal to mesoporous activated carbon:Structure characterization and adsorption properties显示文摘Malaysian Selantik low-rank coal(SC)was used as a precursor to prepare a form of mesoporous activated carbon(SC-AC)with greater surface area(SA)via a microwave induced KOH-activation method.The characteristics of the SC and SC-AC were evaluated by the iodine number,ash content,bulk density,and moisture content The structure and surface characterization was carried out using pore structure analysis(BET),scanning electron microscopy with energy dispersive X-ray spectroscopy(SEM-EDX),X-ray diffraction(XRD),Fourier Transform Infrared(FTIR),elemental analysis(CHNS),thermogravimetric analysis(TGA),and determination of the point of zero charge(pH(PZC)).These results signify a mesoporous structure of SC-AC with an increase of ca.1160 times(BET SA=1094.3 m^2·g^-1)as compared with raw SC without activation(BET SA=1.23 m^2·g^-1).The adsorptive properties of the SC-AC with methylene blue(MB)was carried out at variable adsorbent dose(0.2-1.6 g·L^-1),solution pH(2-12),initial MB concentrations(25-400 mg·L^-1),and contact time(0-290 min)using batch mode operation.The kinetic profiles follow pseudo-second order kinetics and the equilibrium uptake of MB conforms to the Langmuir model with a maximum monolayer adsorption capacity of 491.7 mg g^-1 at 303 K.Thermodynamic functions revealed a spontaneous endothermic adsorption process.The mechanism of adsorption included mainly electrostatic attractions,hydrogen bonding interaction,andπ-πstacking interaction.This work shows that Malaysian Selantik low-rank coal is a promising precursor for the production of low-cost and efficient mesoporous activated carbon with substantive surface area. | Ali H.Jawad Khudzir Ismail Mohd Azlan Mohd Ishak Lee D. Wilson | 2019 | Chinese Journal of Chemical Engineering2019，27，7： | 7 |
| 2 | Influence of different extraction media on phenolic contents and antioxidant capacity of defatted dabai (Canarium odon tophyllum) fruit显示文摘 | Khoo H E Azlan A Ismail A | 2012 | Food Analytical Methods2012，5，3： | 1 |
| 3 | Antioxidant cativities of skin,flesh,and kernel in methanolic extract of Canarium odontophyllum显示文摘 | Azlan A Nasir N N M Ismail A | 2010 | International Food Research Journal2010，17，： | 1 |
| 4 | Antioxidant capacity and total phenolic content of Malaysian underutilized fruits显示文摘 | Ikram E H K Eng K H Mohd-Jalil A M Ismail A Idris S Azlan A Mohd-Nazri H S Mat-Diton N A Mohd-Mokhtar R A | 2009 | Journal of Food Composition and Analysis2009，22，： | 1 |
| 5 | A Preliminary Assessment of Load Consumption and Solar Power Potential at Kota Belud,Sabah显示文摘This paper presents a detailed preliminary assessment of load consumption and solar power potential at the Eco-Tourism Centre of Liogu Ku Silou-Silou(EPLISSI),Kota Belud,Sabah.This initial investigation assessed the feasibility of an off-grid solar PV system at EPLISSI with a suitable solar panel system for project installation and commissioning purposes.Due to the absence of an electrical grid and power supply,no pre-existing electrical appliances could be found in EPLISSI.Hence,an excel-based software,the ESCoBox,was used to produce the load profiles.The input data for this software came from a list of required electrical appliances(LED lights,fans,and phone chargers)and the historical frequency of visitors to EPLISSI.Meanwhile,to assess the solar power potential at EPLISSI,an online simulator known as Global Solar Atlas version 2.3 or GSA 2.3 was used.As an input for the GSA 2.3,the initial solar panel system capacity was set for 0.5 kWp,and then an increment of 0.1 kWp was entered until specific criteria were met.The selection of the suitable size is made when the system can satisfy the daily total average load demand and a specific load fulfillment demand.As a result,it was found that the site requires a total average demand and a total peak demand of 4.60 and 11.87 kWh/day,respectively.From the GSA 2.3 generated report,an off-grid solar PV system with the capacity of 2.50 kWp solar PV can satisfy the daily total average load demand of this area,where the average PV energy output is within the range of between 7.74–9.80 kWh/day or an average of 8.72 kWh/day.In conclusion,this preliminary assessment indicates that installing an off-grid solar PV system in this area is possible. | Maryon Eliza Matius Mohd Azlan Ismail Adriana Erica Amaludin Yan Yan Farm Mohd Adzrie Radzali Ahmad Fazlizan Wan Khairul Muzammil | 2022 | Energy Engineering2022，119，4： | 1 |
| 6 | Application of response surface methodology (RSM) for optimization of cassava starch grafted polyDADMAC synthesis for cationic properties显示文摘 | Mohd A. A. Razali Nurhasikin Sanusi Hanafi Ismail Nadras Othman Azlan Ariffin | 2012 | Starch/St?rke2012，，12： | 1 |
| 7 | 马来西亚未尽利用热带水果概况(英文)显示文摘未尽利用热带水果,即在当地消费和医用的非贸易热带水果,未普及化,生长于野外,季节性强,但富含多酚类化合物、类胡萝卜素、花青素、脂肪酸、矿物质和氨基酸,因而具有一定的开发潜力。在马来西亚,热带水果丰富多样,主要有普通水果、观赏水果、特有水果、野生水果和高地水果,但大部分水果都未能充分利用,其中,典型的有罗望子、巴杖果、砂拉越芒果、钮扣山竹、榴莲、莲雾、挂尼芒果、野红毛丹和蛇皮果。这些水果可以分为3个类型:具有贸易开发潜力的主要包括无花果(Ficus sp.)、罗望子(Garcinia atroviridis)、尖必达(Artocarpus integer)、鲜花木果(Lepisan-thes alata)、野榴莲(Durio sp.)、橄榄木(Spondias cytherea)、菠萝蜜(Artocarpus heterophullus)、槟榔(Areca catechu)、野红毛丹(Nephelium ramboutan-ake)、蛇皮果(Salacca zalacca)和面包果(Artocarpus altilis);具有适于当地人们利用潜力的水果种类包括木胡瓜(Averrhoe bilimbi)、榔拜果(Baccaurea motteyana)、单贝果Baccaurea macrocarpa)、喃喃果属(Cynometra cauliflora)、西柚(Dialum indum)、黄肉榴莲(Durio kutejensis)、野生山竹(Garcinia hombroiniana)、野檬果(Garcinia parvifolia)、巴杖果(Mangifera feotida)、醋栗(Phyllanthus emblica)、蒲桃(Syzygium jambos);不具有经济利用开发潜力的水果种类包括哥露比(Salacca conferta)、青枣(Zizyphus mauritiana)、木奶果属(Baccaurea polyneura)、野檬果(Garcinia parvifolia)、番龙眼(Pometia sp.)、赤才果(Leppisanthes rubiginosa)、波漆果(Bouea microphylla)、蛋黄果(Pouteria campechiana)和仙都果(Sandoricum koetjape)。目前,有关未尽利用水果研究仍处于初期阶段,有必要使这些水果更为普及并得到有效利用,因此,政府和私人组织须采取一些措施以促进这些水果的消费。今后需对这些水果的营养成分、抗氧化作用以及疗效进行深入研究。 | 邱福荣 K.Nagendra RASAD 邝建荣 赵丽仪 Azrina AZLAN 孙健 Amin ISMAIL Salma IDRIS | 2010 | 广西农业科学2010，41，7： | 1 |
| 8 | One-step process for production of biodiesel from Jatropha curcas L. seeds: Optimization using Response Surface Methodology (RSM)显示文摘 | Asnida Yanti Ani Mohd Fauzi Abdullah Mohd Azlan Mohd Ishak Khudzir Ismail | 2009 | Journal of Chemistry and Chemical Engineering2009，3，12： | 0 |
| 9 | Machine Learning and Synthetic Minority Oversampling Techniques for Imbalanced Data: Improving Machine Failure Prediction显示文摘Prediction of machine failure is challenging as the dataset is often imbalanced with a low failure rate.The common approach to han-dle classification involving imbalanced data is to balance the data using a sampling approach such as random undersampling,random oversampling,or Synthetic Minority Oversampling Technique(SMOTE)algorithms.This paper compared the classification performance of three popular classifiers(Logistic Regression,Gaussian Naïve Bayes,and Support Vector Machine)in predicting machine failure in the Oil and Gas industry.The original machine failure dataset consists of 20,473 hourly data and is imbalanced with 19945(97%)‘non-failure’and 528(3%)‘failure data’.The three independent variables to predict machine failure were pressure indicator,flow indicator,and level indicator.The accuracy of the classifiers is very high and close to 100%,but the sensitivity of all classifiers using the original dataset was close to zero.The performance of the three classifiers was then evaluated for data with different imbalance rates(10%to 50%)generated from the original data using SMOTE,SMOTE-Support Vector Machine(SMOTE-SVM)and SMOTE-Edited Nearest Neighbour(SMOTE-ENN).The classifiers were evaluated based on improvement in sensitivity and F-measure.Results showed that the sensitivity of all classifiers increases as the imbalance rate increases.SVM with radial basis function(RBF)kernel has the highest sensitivity when data is balanced(50:50)using SMOTE(Sensitivitytest=0.5686,Ftest=0.6927)compared to Naïve Bayes(Sensitivitytest=0.4033,Ftest=0.6218)and Logistic Regression(Sensitivitytest=0.4194,Ftest=0.621).Overall,the Gaussian Naïve Bayes model consistently improves sensitivity and F-measure as the imbalance ratio increases,but the sensitivity is below 50%.The classifiers performed better when data was balanced using SMOTE-SVM compared to SMOTE and SMOTE-ENN. | Yap Bee Wah Azlan Ismail Nur Niswah Naslina Azid Jafreezal Jaafar Izzatdin Abdul Aziz Mohd Hilmi Hasan Jasni Mohamad Zain | 2023 | Computers, Materials & Continua2023，，6： | 0 |
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