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Matrimid-based carbon tubular membrane: Effect of carbonization environment
N. Sazali,W.N.W. Salleh,N.A.H.M. Nordin,A. F. ISMAIL 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.32 No.-
Among gas separation materials, carbon membrane exhibits the most interesting performance in termsof selectivity, stability, and gas permeance. By controlling and optimizing carbonization environment,excellent gas separation performances can be achieved. In this study, tubular supported carbonmembrane was prepared using Matrimid as polymeric precursor. In order to produce high performancecarbon membrane, the effect of carbonization conditions on the gas permeation properties wasinvestigated. The polymer solution was coated on the surface of the tubular support by using dip-coatingmethod. Carbon membranes were fabricated by heat treatment process under controlled carbonizationenvironments; Ar or N2. Pure gas permeation tests were performed using CO2, CH4, and N2 at roomtemperature with pressure 8 bar. Based on the results, the highest CO2/CH4 and selectivity of 87.34 andCO2/N2 selectivity of 79.60 were obtained by carbon membrane carbonized under Ar gas. Despite thehigher carbonization temperature, the carbonization under Ar created more permeable pores ascompared to N2 environment.
Syed Sharizman Syed Abdul Rahim,Mohd Fazeli Sazali,Ahmad Hazim Mohammad,Fairrul Kadir,Alvin Oliver Payus,Richard Avoi,Mohammad Saffree Jeffree,Azizan Omar,Mohd Yusof Ibrahim,Azman Atil,Nooralisa Moh 대한결핵및호흡기학회 2023 Tuberculosis and Respiratory Diseases Vol.86 No.2
Tuberculosis (TB) is a significant public health concern. Globally, TB is among the top 10 and the leading cause of death due to a single infectious agent. Providing standard anti-TB therapy for at least 6 months is recommended as one of the crucial strategies to control the TB epidemic. However, the long duration of TB treatment raised the issue of non-adherence. Non-adherence to TB therapy could negatively affect clinical and public health outcomes. Thus, directly observed therapy (DOT) has been introduced as a standard strategy to improve anti-TB medication adherence. Nonetheless, the DOT approach has been criticized due to inconvenience, stigma, reduced economic productivity, and reduced quality of life, which ultimately could complicate adherence issues. Apart from that, its effectiveness in improving anti-TB adherence is debatable. Therefore, digital technology could be an essential tool to enhance the implementation of DOT. Incorporating the health belief model (HBM) into digital technology can further increase its effectiveness in changing behavior and improving medication adherence. This article aimed to review the latest evidence regarding TB medication non-adherence, its associated factors, DOT’s efficacy and its alternatives, and the use of digital technology and HBM in improving medication adherence. This paper used the narrative review methodology to analyze related articles to address the study objectives. Conventional DOT has several disadvantages in TB management. Integrating HBM in digital technology development is potentially effective in improving medication adherence. Digital technology provides an opportunity to improve medication adherence to overcome various issues related to DOT implementation.
N.H. Ismail,W.N.W. Salleh,N. Sazali,A.F. Ismail 한국공업화학회 2018 Journal of Industrial and Engineering Chemistry Vol.57 No.-
Different dope solutions for the alumina disk supported carbon membrane preparation for CO2/N2 and CO2/CH4 separation was formulated in this study. The prepared polymeric membrane made of commercial co-polyimide BTDA-TDI/MDI (P84) was carbonized at 700 °C under N2 gas flow. A defect-free membrane was obtained when high polymer composition was used. The disk supported carbon membrane with CO2/N2 and CO2/CH4 selectivity of 15 and 45, respectively, and CO2 permeance of 400 Barrer were obtained by one-step spray coating technique. The polymer composition of 12 wt% was concluded to be the optimum composition for the alumina disk supported carbon membranes.
Asymmetric Reduction of 3-Ketoproline Ethyl Ester by Modified Borohydrides and Various Vegetables
Agustono Wibowo,Zurina Shaameri,Mohd Fazli Mohammat,Ahmad Sazali Hamzah 대한화학회 2017 대한화학회지 Vol.61 No.5
Reduction of (±)-3-ketoproline ethyl ester (1) by NaBH4 in the presence of CaCl2 and MgCl2 as the chelating agents gave selective products cis-3(R/S)-alcohols, while reduction by NaBH4 alone or chelated with NiCl2 and AlBr3 gave mixtures of cis- and trans-alcohols. The reduction of (±)-1 by various vegetables however, gave exclusively the cis-alcohol as the major and trans-alcohol as the minor. On the contrary, reduction of (±)-1 by carrot afforded a mixture of cis- and transalcohols, in which the trans-alcohol exists as the major product. In addition, we found that this biocatalyst selectively converted S-enantiomer of (±)-1 to the cis-alcohol, and R-enantiomer to a mixture of cis- and trans-alcohols with cis-alcohol as the major product. This fact prompted us to use various fresh plant tissues for stereoselective reduction of diverse types of pyrrolidinones, as its stereoselectivity towards racemic mixtures is higher compared to that using chemical reducing agents.
Mohammat, Mohd Fazli,Mansor, Nurul Shulehaf,Shaameri, Zurina,Hamzah, Ahmad Sazali Korean Chemical Society 2015 대한화학회지 Vol.59 No.1
Diastereoselective reduction of 2,3-dioxo-4-carboxy-5-(substituted)pyrrolidine 1 by $NaBH_4/AcOH$ and heterogenous hydrogenation were reported. Stereochemical assignment and diastereomeric ratios of the products were determined using $^1H$ NMR and single crystal X-ray analyses. The steric factors of the C-5 substituents of the pyrrolidinone was shown to have an interesting influence on both the yield and diastereoselectivity of the reduced product.
Asymmetric Reduction of 3-Ketoproline Ethyl Ester by Modified Borohydrides and Various Vegetables
Wibowo, Agustono,Shaameri, Zurina,Mohammat, Mohd Fazli,Hamzah, Ahmad Sazali Korean Chemical Society 2017 대한화학회지 Vol.61 No.5
Reduction of (${\pm}$)-3-ketoproline ethyl ester (1) by $NaBH_4$ in the presence of $CaCl_2$ and $MgCl_2$ as the chelating agents gave selective products cis-3(R/S)-alcohols, while reduction by $NaBH_4$ alone or chelated with $NiCl_2$ and $AlBr_3$ gave mixtures of cis- and trans-alcohols. The reduction of (${\pm}$)-1 by various vegetables however, gave exclusively the cis-alcohol as the major and trans-alcohol as the minor. On the contrary, reduction of (${\pm}$)-1 by carrot afforded a mixture of cis- and trans-alcohols, in which the trans-alcohol exists as the major product. In addition, we found that this biocatalyst selectively converted S-enantiomer of (${\pm}$)-1 to the cis-alcohol, and R-enantiomer to a mixture of cis- and trans-alcohols with cis-alcohol as the major product. This fact prompted us to use various fresh plant tissues for stereoselective reduction of diverse types of pyrrolidinones, as its stereoselectivity towards racemic mixtures is higher compared to that using chemical reducing agents.
Power Peaking Factor Prediction using ANFIS Method
Nur Syazwani Mohd Ali,Khaidzir Hamzah,Faridah Idris,Nor Afifah Basri,Muhammad Syahir Sarkawi,Muhammad Arif Sazali,Hairie Rabir,Mohamad Sabri Minhat,Jasman Zainal 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.2
Power peaking factors (PPF) is an important parameter for safe and efficient reactor operation. There areseveral methods to calculate the PPF at TRIGA research reactors such as MCNP and TRIGLAV codes. However, these methods are time-consuming and required high specifications of a computer system. Toovercome these limitations, artificial intelligence was introduced for parameter prediction. Previousstudies applied the neural network method to predict the PPF, but the publications using the ANFISmethod are not well developed yet. In this paper, the prediction of PPF using the ANFIS was conducted. Two input variables, control rod position, and neutron flux were collected while the PPF was calculatedusing TRIGLAV code as the data output. These input-output datasets were used for ANFIS model generation, training, and testing. In this study, four ANFIS model with two types of input space partitioningmethods shows good predictive performances with R2 values in the range of 96%e97%, reveals the strongrelationship between the predicted and actual PPF values. The RMSE calculated also near zero. From thisstatistical analysis, it is proven that the ANFIS could predict the PPF accurately and can be used as analternative method to develop a real-time monitoring system at TRIGA research reactors.
Higher Order Spectra based Features for Infant Cry Signal Classification
( M. Hariharan ),( Yogesh C. K. R. Sindhu ),( Vikneswaran Vijean ),( Haniza Yazid ),( Thiyagar Nadarajaw ),( Kemal Polat ),( Sazali Yaacob ) 한국감성과학회 2017 한국감성과학회 국제학술대회(ICES) Vol.2017 No.-
Crying is an early communication medium for infants. The cry analysis provides an opportunity to assess the physical and pathological status of infants. Several short-term cepstral/spectral features were extracted from the recorded cry signals to detect the reason for crying (hunger, pain, sick condition etc). In this work, Higher order spectra (HOS) based features were proposed to study its efficacy in better representation of cry signals. Statistical features from Bi-spectral plots were derived. Two well-known short-term feature sets known as Mel-frequency cepstral coefficients (MFCCs) and Linear predictive coding based cepstral coefficients (LPCs, Linear predictive cepstral coefficients- LPCCs and weighted LPCCs) were also used. Cry signals from 2 different databases were utilized. Several experiments of twoclass and multi-class classification of cry signals were conducted and the results were reported to demonstrate the effectiveness of the proposed method. The experimental results indicate proposed combination of HOS based features with standard short-term cepstral features help to achieve promosing infant cry classification accuracy.