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Occurrence of K1 and K2 serotypes and genotypic characteristics of extended spectrumβ-lactamases-producing Klebsiella pneumoniae isolated from selected hospitals in Malaysia

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Asian Pacific Journal of Tropical Medicine 2024年第1期17卷 30-38页

作者： nurul Syazrah Anuar Hazmin Hazman Sharven Raj Jeyakumar Mohd Nasir Mohd Desa Hasni Idayu Saidi Siti Norbaya Masri nur afiza aziz nurshahira Sulaiman Department of Biomedical Science Faculty of Medicine and Health SciencesUniversiti Putra Malaysia43400UPM SerdangSelangorMalaysia Department of Medical Microbiology Faculty of Medicine and Health SciencesUniversiti Putra Malaysia43400UPM SerdangSelangorMalaysia Microbiology Unit Department of PathologyHospital Sultanah AminahJalan Persiaran Sultan Abu Bakar80100 Johor BahruJohorMalaysia

Objective:To determine the distribution,phenotypic and genetic background of extended spectrumβ-lactamases(ESBL)-producing Klebsiella(K.)pneumoniae clinical isolates associated with K1 and K2 serotypes in two selected hospitals in ***:A total of 192 *** isolates were collected and subjected to antibiotic susceptibility,hypermucoviscosity test and multiplex PCR to detect the presence of K1-and K2-serotype associated *** sequence typing(MLST)was performed on ESBL-producing *** isolates presented with K1 and K2 serotypes,followed by phylogenetic ***:A total of 87 out of 192(45.3%)of the *** isolates collected were ESBL ***,only 8.3%(16/192)and 10.9%(21/192)of the total isolates were detected to carry K1-and K2-serotype associated genes,*** analysis showed that K1 and K2 capsular serotypes were not significantly associated with ESBL phenotype(P=0.196).However,they were significantly associated with hypervirulent,as demonstrated by the positive string test(P<0.001).MLST analysis revealed that ST23 as the predominant sequence type(ST)in the K1 serotype,while the ST in the K2 serotype is more ***:Although the occurrence of ESBL-producing isolates among the hypervirulent strains was low,their coexistence warrants the need for continuous *** showed that these isolates were genetically heterogeneous.

关键词： Extended spectrumβ-lactamases Klebsiella pneumoniae Capsular serotypes Genotypic

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Experiment and simulation to determine the optimum orientation of building-integrated photovoltaic on tropical building façades considering annual daylight performance and energy yield

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Energy and Built Environment 2024年第3期5卷 414-425页

作者： Rizki A.Mangkuto Dhian nur aziz T.Tresna Ikhwan M.Hermawan Justin Pradipta nurul Jamala Beta Paramita Atthaillah Building Physics Research Group Faculty of Industrial TechnologyInstitut Teknologi BandungLabtek VIJl.Ganesha 10Bandung 40132Indonesia Engineering Physics Program Faculty of Industrial TechnologyInstitut Teknologi BandungLabtek VIJl.Ganesha 10Bandung 40132Indonesia Engineering Physics Research Group Faculty of Industrial TechnologyInstitut Teknologi BandungLabtek VIJl.Ganesha 10Bandung 40132Indonesia Department of Architecture Faculty of EngineeringHasanuddin UniversityJl.Poros Malino Km.6Gowa 92171Indonesia Architecture Study Program Faculty of Technology and Vocational EducationUniversitas Pendidikan IndonesiaJl.Dr.Setiabudhi 229Bandung 40152Indonesia Architecture Program Faculty of EngineeringUniversitas MalikussalehJl.Cot Teungku NieAceh Utara 24355Indonesia

Building-Integrated Photovoltaic(BIPV)on vertical façades is a potential PV application in today’s *** performance of BIPV on façades is significantly influenced by the façade *** tropical cities,the optimum façade orientation,in terms of maximum energy yield and daylight performance,cannot be simply determined,due to relatively symmetrical sun path throughout the *** study therefore aims to determine the optimum orientation for BIPV on tropical building faç*** achieve the objective,experiment,modelling,and computational simulation are conducted to evaluate the BIPV energy yield and to predict the indoor daylight performance in a scale-model building with a 105Wp monocrystalline silicon PV,facing each cardinal orienta-tion in Bandung,*** South orientation yields practically zero ASE_(1000,250),providing the best annual daylight performance,and yielding the most desirable value in four out of five daylight *** greatest annual energy yield is at the North orientation,providing 179-186 kWh(95%prediction interval)per year,but with larger uncertainty compared to that at the South,due to direct sunlight *** on three different objective functions,the South orientation is considered optimum for placing the BIPV panel on the prototype façade in the location.

关键词： Building-integrated photovoltaic Orientation Daylight metric Energy yield Tropical building façade

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Bayesian Group Chain Sampling Plan for Poisson Distribution with Gamma Prior

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Computers, Materials & Continua 2022年第2期70卷 3891-3902页

作者： Waqar Hafeez Nazrina aziz Zakiyah Zain nur Azulia Kamarudin School of Quantitative Sciences Universiti Utara MalaysiaUUM Sintok06010KedahMalaysia Institute of Strategic Industrial Decision Modelling(ISIDM) Universiti Utara MalaysiaUUM Sintok06010KedahMalaysia

Acceptance sampling is a statistical quality control technique that consists of procedures for sentencing one or more incoming lots of finished *** or rejection is based on the inspection of sampled products drawn randomly from the *** theory of previous acceptance sampling was built upon the assumption that the process from which the lots are produced is stable and the process fraction nonconforming is a *** variability is inevitable due to random fluctuations,which may inadvertently lead to quality *** an alternative to traditional sampling plans,Bayesian approach can be used by considering prior information of the *** different combinations of design parameters,this study introduces a Bayesian group chain sampling plan(BGChSP).For the first time in group chain sampling plan,the probability of lot acceptance is derived by using Poisson distribution to estimate an average number of *** distribution is used as a prior distribution with Poisson *** into account both consumer’s and producer’s risks,this research considers two quality regions namely,probabilistic quality region(PQR)and indifference quality region(IQR).By minimizing consumer’s and producer’s risks,BGChSP can be used to minimize the average number of defective products in industry.

关键词： Bayesian acceptance sampling gamma produce risk consumer risk

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Designing Bayesian New Group Chain Sampling Plan For Quality Regions

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Computers, Materials & Continua 2022年第2期70卷 4185-4198页

作者： Waqar Hafeez Nazrina aziz Zakiyah Zain nur Azulia Kamarudin School of Quantitative of Sciences Universiti Utara MalaysiaSintok06010Malaysia Institute of Strategic Industrial Decision Modelling(ISIDM) Universiti Utara MalaysiaSintok06010Malaysia

Acceptance sampling is a well-established statistical technique in quality *** sampling is used to decide,acceptance or rejection of a lot based on the inspection of its random *** concur that the Bayesian approach is the best approach to make a correct decision,when historical knowledge is *** paper suggests a Bayesian new group chain sampling plan(BNGChSP)to estimate average probability of *** distribution function is used to differentiate between defective and non-defective *** distribution is considered as a suitable prior *** is completed for the estimation of the average proportion of *** study includes four quality regions namely:(i)probabilistic quality region(PQR),(ii)quality decision region(QDR),(iii)limiting quality region(LQR),and(iv)indifference quality region(IQR).The estimated values for the BNGChSPare tabulated and the inflection point values are derived,based on different combinations of design parameters including both consumer’s and producer’s *** comparison with the existing plan,the operating characteristic curves expose that BNGChSP is a better substitute for industrial practitioners.

关键词： Binomial beta distribution consumer’s risk producer’s risk quality region

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Subspace Clustering in High-Dimensional Data Streams:A Systematic Literature Review

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Computers, Materials & Continua 2023年第5期75卷 4649-4668页

作者： nur Laila Ab Ghani Izzatdin Abdul aziz Said Jadid AbdulKadir Department of Computer and Information Sciences Universiti Teknologi PETRONASSeri Iskandar32610PerakMalaysia Centre for Research in Data Science(CeRDAS) Universiti Teknologi PETRONASSeri Iskandar32610PerakMalaysia

Clustering high dimensional data is challenging as data dimensionality increases the distance between data points,resulting in sparse regions that degrade clustering *** clustering is a common approach for processing high-dimensional data by finding relevant features for each cluster in the data *** clustering methods extend traditional clustering to account for the constraints imposed by data *** streams are not only high-dimensional,but also unbounded and *** necessitates the development of subspace clustering algorithms that can handle high dimensionality and adapt to the unique characteristics of data *** many articles have contributed to the literature review on data stream clustering,there is currently no specific review on subspace clustering algorithms in high-dimensional data ***,this article aims to systematically review the existing literature on subspace clustering of data streams in high-dimensional streaming *** review follows a systematic methodological approach and includes 18 articles for the final *** analysis focused on two research questions related to the general clustering process and dealing with the unbounded and evolving characteristics of data *** main findings relate to six elements:clustering process,cluster search,subspace search,synopsis structure,cluster maintenance,and evaluation *** algorithms use a two-phase clustering approach consisting of an initialization stage,a refinement stage,a cluster maintenance stage,and a final clustering *** density-based top-down subspace clustering approach is more widely used than the others because it is able to distinguish true clusters and outliers using projected *** algorithms implicitly adapt to the evolving nature of the data stream by using a time fading function that is sensitive to *** work can focus on the clustering framework,parameter optimiza

关键词： Clustering subspace clustering projected clustering data stream stream clustering high dimensionality evolving data stream concept drift

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Machine Learning and Synthetic Minority Oversampling Techniques for Imbalanced Data: Improving Machine Failure Prediction

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Computers, Materials & Continua 2023年第6期75卷 4821-4841页

作者： Yap Bee Wah Azlan Ismail nur Niswah Naslina Azid Jafreezal Jaafar Izzatdin Abdul aziz Mohd Hilmi Hasan Jasni Mohamad Zain Institute for Big Data Analytics and Artificial Intelligence(IBDAAI) Kompleks Al-KhawarizmiUniversiti Teknologi MARA(UiTM)Shah Alam40450SelangorMalaysia School of Computing Sciences College of ComputingInformatics and MediaUniversiti Teknologi MARA(UiTM)40450Shah AlamSelangorMalaysia Mathematical Sciences Studies College of ComputingInformatics and MediaUniversiti Teknologi MARA(UiTM)Kelantan BranchMachang CampusBukit Ilmu18500MachangKelantan Darul NaimMalaysia Centre for Research in Data Science(CeRDaS) Department of Computer and Information Sciences(DCIS)Universiti Teknologi PETRONAS(UTP)Seri Iskandar32610PerakMalaysia UNITAR International University Jalan SS6/3SS6Petaling Jaya47301SelangorMalaysia

Prediction of machine failure is challenging as the dataset is often imbalanced with a low failure *** 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)*** 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 *** 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 *** accuracy of the classifiers is very high and close to 100%,but the sensitivity of all classifiers using the original dataset was close to *** 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 *** showed that the sensitivity of all classifiers increases as the imbalance rate *** 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.

关键词： Machine failure machine learning imbalanced data SMOTE classification

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Potential use of nanofiltration like-forward osmosis membranes for copper ion removal

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Chinese Journal of Chemical Engineering 2020年第2期28卷 420-428页

作者： Wan nur Ain Shuhada Abdullah Sirinan Tiandee Woeijye Lau Farhana aziz Ahmad Fauzi Ismail Advanced Membrane Technology Research Centre(AMTEC) Universiti Teknologi Malaysia81310 SkudaiJohorMalaysia School of Chemical and Energy Engineering Universiti Teknologi Malaysia81310 SkudaiJohorMalaysia Faculty of Science and Industrial Technology Prince of Songkla UniversitySurat Thani Campus84000 Surat ThaniThailand

The discharge of industrial effluent containing heavy metal ions would cause water pollution if such effluent is not properly *** this work,the performance of emerging nanofiltration(NF)like-forward osmosis(FO)membrane was evaluated for its efficiency to remove copper ion from ***,copper ion is removed from aqueous solution via adsorption and/or ion-exchange *** engineered osmosis method as proposed in this work considered four commercial NF membranes(i.e.,NF90,DK,NDX and PFO)where their separation performances were accessed using synthetic water sample containing 100 mg·L-1 copper ion under FO and pressure retarded osmosis(PRO)*** findings indicated that all membranes could achieve almost complete removal of copper regardless of membrane orientation without applying external driving *** high removal rates were in good agreement with the outcomes of the membranes tested under pressuredriven mode at 1 *** use of appropriate salts as draw solutes enabled the NF membranes to be employed in engineered osmosis process,achieving a relatively low reverse solute *** findings showed that the best performing membrane is PFO membrane in which it achieved N 99.4%copper rejection with very minimum reverse solute flux of<1 g·m-2·h-1.

关键词： Nanofiltration Forward osmosis Copper Divalent salt Water flux

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Evolution of specific RNA aptamers via SELEX targeting recombinant human CD36 protein:A candidate therapeutic target in severe malaria

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Asian Pacific Journal of Tropical Biomedicine 2020年第1期10卷 23-32页

作者： Nik Abdul aziz Nik Kamarudin Judy nur Aisha Sat nur Fatihah Mohd Zaidi Khairul Mohd Fadzli Mustaffa Institute for Research in Molecular Medicine(INFORMM) Health CampusUniversiti Sains Malaysia16150Kubang KerianKelantanMalaysia

Objective:To isolate and characterize RNA aptamers that are specific to human CD36 protein using systematic evolution of ligands by exponential enrichment(SELEX)technology to identify candidates for adjunct therapy to reverse the binding of Plasmodiuminfected ***:RNA aptamers were isolated using nitrocellulose membrane-based SELEX and binding analysis was screened using an electrophoretic mobility shift assay and enzyme-linked oligonucleotide ***:Thirteen cycles of nitrocellulose membrane-based SELEX yielded three aptamers(RC60,RC25,RC04)exhibiting high binding against CD36 protein as shown on electrophoretic mobility shift *** sequence analysis revealed a G-quadruplex sequence within all the isolated aptamers that might contribute to aptamer binding and thermodynamic *** specificity assay further showed that RC60 and RC25 were highly specific to *** competitive inhibition assay demonstrated that RC60 and RC25 shared a similar binding epitope recognized by m Ab FA6-152,a specific monoclonal antibody against ***:RC60 and RC25 are promising candidates as anticytoadherence for severe malaria adjunct therapy.

关键词： RNA aptamers SELEX CD36 protein Severe malaria Adjunct therapy Cytoadherence

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Effect of iridium loading on HZSM-5 for isomerization of n-heptane

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Journal of Natural Gas Chemistry 2011年第5期20卷 477-482页

作者： Herma Dina Setiabudi Sugeng Triwahyono Aishah Abdul Jalil nur Hidayatul Nazirah Kamarudin Muhammad Arif Ab aziz Department of Chemical Engineering Faculty of Chemical Engineering Universiti Teknologi Malaysia Ibnu Sina Institute for Fundamental Science Studies Faculty of Science Universiti Teknologi Malaysia

The effect of iridium loading on the properties and catalytic isomerization of n-heptane over Ir-HZSM-5 is studied. Ir-HZSM-5 was prepared by impregnation method and subjected to isomerization process in the presence of flowing hydrogen gas. XRD and BET studies show that the presence of iridium stabilizes the crystalline structure of HZSM-5, leading to more ordered framework structure and larger surface area. TGA and FTIR results substantiate that iridium species interacts with OH group on the surface of HZSM-5. Pyridine FT-IR study verifies the interaction between iridium and surface OH group slightly increased the Bro¨nsted and Lewis acid sites without changing the lattice structure of HZSM-5. The presence of iridium and the increase of strong Lewis acid sites on HZSM-5 were found to bring an increase about 4.1%, 33.2% and 11.8% in conversion, selectivity and yield of n-heptane isomerization, respectively.

关键词： Ir-HZSM-5 n-heptane isomerization Lewis acid sites protonic acid sites

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Green Lignosulphonate as co-surfactant for wettability alteration

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Petroleum Research 2020年第2期5卷 154-163页

作者： Zhe Qin Lim Nabilla Afzan Abdul aziz Ahmad Kamal Idris nur Asyraf Md Akhir Center of Research of Enhanced Oil Recovery Universiti Teknologi PETRONAS32610Seri IskandarPerakMalaysia Universiti Teknologi Malaysia 81310SkudaiJohor BahruMalaysia

Surfactant flooding is one of the common tertiary method to recover remaining oil in the reservoir, byreducing the interfacial tension (IFT) between two immiscible fluids nevertheless, current surfactantforms emulsion and difficult to achieve ultra-low IFT between the water and oil without addition of cosurfactant. In this research, two types of anionic lignosulphonate-based surfactants, Sodium Lignosulphonate (SLS) and Calcium Lignosulphonate (CLS) are chosen as co-surfactant. The main surfactantused in this project is the common anionic surfactant, Sodium Dodecyl Sulfate (SDS) at a fixed concentration of 4 mmol/l. Each type of co-surfactant with different concentrations (0.5%, 1.0%, 1.5% and2.0 wt %) was mixed with 4 mmol/L of SDS at each test tube to create the surfactant solution. The result ofthe experiment showed that at 0.5 wt % for SLS and CLS surfactant solution, the contact angle of oil tosurface lowered down with a reduction of 6° and 7° respectively. This indicate that the system will bemore water-wet which the oil droplet will be less adhesive to the rock surface. In conclusion, by using theoptimum concentration of 0.5 wt % lignosulphonate as co-surfactant is able to alter the wettability ofrocks and it is recommended to test the biological-based co-surfactant at increasing temperature as analternative to enhance the surfactant flooding performance which improves the oil recovery.

关键词： Biosurfactant Co-surfactant Wettability Microemulsion Water-wet

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