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An efficient synthesis of 2,2′-arylmethylene bis-(3-hydroxy-5,5-dimethyl-2-cyclohexene-1-one) and 1,8-dioxooctahydroxanthenes using ZnO and ZnO-acetyl chloride

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Chinese Chemical Letters 2010年第6期21卷 686-689页

作者： Malek taher Maghsoodlou Sayyed Mostafa Habibi-Khorassani Zahra Shahkarami Nariman Maleki Mohsen Rostamizadeh Department of Chemistry The University of Sistan and BaluchestanP.O.Box 98135-674ZahedanIran

2,2'-Arylmethylene bis(3-hydroxy-5,5-dimethyl-2-cyclohexene-1-one) 4l-s produced from reaction between dimedone with various aldehydes in acetonitrile using ZnO as a catalyst;whereas in the presence of ZnO-acetyl chlo... 详细信息

关键词： ZnO ZnO-acetyl chloride Dimedone Aldehyde 1 8-Dioxooctahydroxanthene 2 2'-Arylmethylene bis(3-hydroxy-5 5-dimethyl-2-cyclohexene-1-one)

维普期刊数据库

Comparison of corneal measurements in keratoconic eyes using rotating Scheimpflug camera and scanning-slit topography

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International Journal of Ophthalmology(English edition) 2015年第2期8卷 275-280页

作者： Mohammad Naderan Saeed Shoar Morteza Naderan Mohammad Amin Kamaleddin Mohammad taher Rajabi Eye Research Center Farabi Eye Hospital Tehran University of Medical Sciences Department of Biotechnology College of ScienceUniversity of Tehran

AIM: To compare the anterior segment measurements obtained by rotating Scheimpflug camera(Pentacam) and Scanning-slit topography(Orbscan IIz) in keratoconic ***: A total of 121 patients, 71 males(58.7%)and 50 females(41.3%)(214 eyes) with the diagnosis of keratoconus(KC) were enrolled in this study. Following diagnosis of KC by slit-lamp biomicroscopic examination, central corneal thickness(CCT), thinnest corneal thickness(TCT), anterior chamber depth(ACD),and pupil diameter(PD) were measured by a single examiner using successive instrumentation by Pentacam and ***: There was no significant difference between the two instruments for the measurement of CCT and TCT. In contrast, scanning-slit topography measured ACD(3.46±0.40 mm vs 3.38±0.33 mm, P =0.019) and PD(4.97 ±1.26 mm vs 4.08 ±1.19 mm, P <0.001) significantly larger than rotating Scheimpflug *** two devices made similar measurements for CCT(95% CI:-2.94 to5.06, P =0.602). However, the mean difference for TCT was-6.28(95% CI:-10.51 to-2.06, P =0.004) showing a thinner measurement by Orbscan than by Pentacam. In terms of the ACD, the mean difference was 0.08 mm(95%CI: 0.04 to 0.12, P <0.001) with Orbscan giving a slightly larger value than Pentacam. Similarly, Orbscan measurement for PD was longer than Pentacam(95% CI:0.68 to 1.08, P <0.001).CONCLUSION: A good agreement was found between Pentacam and Orbscan concerning CCT measurement while comparing scanning-slit topography and rotatingScheimpflug camera there was an underestimation for TCT and overestimation for ACD and PD.

关键词： keratoconus Orbscan Pentacam rotating Scheimpflug camera scanning-slit topography corneal pachymetry central corneal thickness thinnest corneal thickness anterior chamber depth pupil diameter

Data and Ensemble Machine Learning Fusion Based Intelligent Software Defect Prediction System

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Computers, Materials & Continua 2023年第6期75卷 6083-6100页

作者： Sagheer Abbas Shabib Aftab Muhammad Adnan Khan taher MGhazal Hussam Al Hamadi Chan Yeob Yeun School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Department of Computer Science Virtual University of PakistanLahore54000Pakistan Department of Software Faculty of Artificial Intelligence and SoftwareGachon UniversitySeongnam13120Korea Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan School of Information Technology Skyline University CollegeUniversity City SharjahSharjahUAE Center for Cyber Security Faculty of Information Science and TechnologyUKMBangiSelangor43600Malaysia College of Engineering and IT University of Dubai14143UAE EECS Department Center for Cyber Physical SystemsKhalifa UniversityAbu Dhabi127788UAE

The software engineering field has long focused on creating high-quality software despite limited *** defects before the testing stage of software development can enable quality assurance engineers to con-centrate on problematic modules rather than all the *** approach can enhance the quality of the final product while lowering development *** defective modules early on can allow for early corrections and ensure the timely delivery of a high-quality product that satisfies customers and instills greater confidence in the development *** process is known as software defect prediction,and it can improve end-product quality while reducing the cost of testing and *** study proposes a software defect prediction system that utilizes data fusion,feature selection,and ensemble machine learning fusion techniques.A novel filter-based metric selection technique is proposed in the framework to select the optimum features.A three-step nested approach is presented for predicting defective modules to achieve high *** the first step,three supervised machine learning techniques,including Decision Tree,Support Vector Machines,and Naïve Bayes,are used to detect faulty *** second step involves integrating the predictive accuracy of these classification techniques through three ensemble machine-learning methods:Bagging,Voting,and ***,in the third step,a fuzzy logic technique is employed to integrate the predictive accuracy of the ensemble machine learning *** experiments are performed on a fused software defect dataset to ensure that the developed fused ensemble model can perform effectively on diverse *** NASA datasets are integrated to create the fused dataset:MW1,PC1,PC3,PC4,and *** to the results,the proposed system exhibited superior performance to other advanced techniques for predicting software defects,achieving a remarkable accuracy rate of 92.08%.

关键词： Ensemble machine learning fusion software defect prediction fuzzy logic

Entirely green protocol for the synthesis of β-aminoketones using saccharose as a homogenous catalyst

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Chinese Chemical Letters 2013年第5期24卷 411-414页

作者： Mir Rasul Mousavi Nourallah Hazeri Malek taher Maghsoodlou Sajjad Salahi Sayyed Mostafa Habibi-Khorassani Department of Chemistry Faculty of ScienceUniversity of Sistan and Baluchestan

Saccharose was applied as an efficient and homogenous catalyst for a one-pot,three-component Mannich reaction for the formation ofβ-aminoketones from aromatic aldehydes,anilines,and acetophenone at ambient temperature in excellent *** protocol has the following advantages： mild conditions,high yields,clean reaction profiles,operational simplicity,and environmentally benign and simple work-up procedures.

关键词： Saccharose β-Amino carbonyl compounds Mannich reaction Three-component reaction

维普期刊数据库

CD5 expression promotes IL-10 production through activation of the MAPK/Erk pathway and upregulation of TRPC1 channels in B lymphocytes

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Cellular & Molecular Immunology 2018年第2期15卷 158-170页

作者： Soizic Garaud taher E taher Marjolaine Debant Miguel Burgos Sarra Melayah Christian Berthou Kaushal Parikh Jacques-Olivier Pers Damien Luque-Paz Gilles Chiocchia Maikel Peppelenbosch David A Isenberg Pierre Youinou Olivier Mignen Yves Renaudineau Rizgar A Mageed INSERM ERI29/EA2216 réseau epigenetique and réseau canaux ioniques du Cancéropôle Grand OuestBrest University Medical SchoolBrest29609France Centre for Experimental Medicine and Rheumatology William Harvey Research InstituteBarts and the London School of Medicine and DentistryQueen Mary University of LondonLondonEC1M 6BQUK Canalopathy and Calcium Signaling INSERM UMR1078Brest29238France Centre for Experimental and Molecular Medicine Academic Medical CenterMeibergdreef 9Amsterdam1105 AZThe Netherlands Laboratory of Immunology and Immunotherapy CHU MorvanBrest29609France Institut Cochin INSERM U567Paris75014France Department of Gastroenterology and Hepatology Erasmus MCGravendijkwal 230Rotterdam015 CERotterdamThe Netherlands Centre for Rheumatology University College LondonLondonWC1E 6JFUK

CD5 is constitutively expressed on T cells and a subset of mature normal and leukemic B cells in patients with chronic lymphocytic leukemia(CLL).Important functional properties are associated with CD5 expression in B cells,including signal transducer and activator of transcription 3 activation,IL-10 production and the promotion of B-lymphocyte survival and ***,the pathway(s)by which CD5 influences the biology of B cells and its dependence on B-cell receptor(BCR)co-signaling remain *** this study,we show that CD5 expression activates a number of important signaling pathways,including Erk1/2,leading to IL-10 production through a novel pathway independent of BCR *** pathway is dependent on extracellular calcium(Ca2+)entry facilitated by upregulation of the transient receptor potential channel 1(TRPC1)*** also show that Erk1/2 activation in a subgroup of CLL patients is associated with TRPC1 *** this subgroup of CLL patients,small inhibitory RNA(siRNA)for CD5 reduces TRPC1 ***,siRNAs for CD5 or for TRPC1 inhibit IL-10 *** findings provide new insights into the role of CD5 in B-cell biology in health and disease and could pave the way for new treatment strategies for patients with B-CLL.

关键词： B cells calcium CD5 MAPK/Erk TRPC1

Facile cathodic electrosynthesis and characterization of iron oxide nano-particles

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Progress in Natural Science:Materials International 2013年第1期23卷 51-54页

作者： taher Yousefi Reza Davarkhah Ahmad Nozad Golikand Mohammad Hossein Mashhadizadeh Ahmad Abhari NFCRS Nuclear Science and Technology Research InstituteP.O.Box 11365/8486TehranIran Materials Research School NSTRIP.O.Box:14395-836 TehranIran 3. Department of ChemistryTarbiat Moallem UniversityP.O.Box:31979-37551 TehranIran 4. NFCRSNuclear Science and Technology Research InstituteP.O.Box 11365/8486TehranIranx

Fe2O3 nano-particles have been synthesized by simple cathodic electrodeposition from the low-temperature nitrate *** morphology and crystal structure of the obtained oxide powder were analyzed by means of scanning and transmission microscopy(SEM and TEM),X-ray diffraction(XRD) and Fourier transform infrared(FTIR) *** behavior and phase transformation during the heat treatment of as-deposited sample were investigated by differential scanning calorimetry(DSC) and thermogramimetric analysis(TGA).The results showed that the deposited Fe2O3 was composed of the nanoparticles with grain size of approximately 10-60 nm.A serious problem during cathodic electrodeposition of iron oxide was splashing of deposit into electrolyte due to its low *** problem was tackled by reducing the bath temperature and dielectric constant of solvent.

关键词： Iron Oxide Electrochemical Deposition Nano Oxides Nanostructures Characterization

Single and Mitochondrial Gene Inheritance Disorder Prediction Using Machine Learning

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Computers, Materials & Continua 2022年第10期73卷 953-963页

作者： Muhammad Umar Nasir Muhammad Adnan Khan Muhammad Zubair taher MGhazal Raed A.Said Hussam Al Hamadi Riphah School of Computing&Innovation Faculty of ComputingRiphah International University Lahore CampusLahore54000Pakistan Pattern Recognition and Machine Learning Lab Department of SoftwareGachon UniversitySeongnam13120GyeonggidoKorea Faculty of Computing Riphah International UniversityIslamabad45000Pakistan School of Information Technology Skyline University CollegeSharjah1797UAE Network and Communication Technology Lab Center for Cyber SecurityFaculty of Information Science and Technology Universiti Kebangsaan Malaysia43600Malaysia Canadian University Dubai00000UAE Cyber-Physical Systems Khalifa UniversityAbu Dhabi127788UAE

One of the most difficult jobs in the post-genomic age is identifying a genetic disease from a massive amount of genetic ***,the complicated genetic disease has a very diverse genotype,making it challenging to find genetic *** is a challenging process since it must be completed effectively and *** research article focuses largely on which patients are more likely to have a genetic disorder based on numerous medical *** the patient’s medical history,we used a genetic disease prediction algorithm that predicts if the patient is likely to be diagnosed with a genetic *** predict and categorize the patient with a genetic disease,we utilize several deep and machine learning techniques such as Artificial neural network(ANN),K-nearest neighbors(KNN),and Support vector machine(SVM).To enhance the accuracy of predicting the genetic disease in any patient,a highly efficient approach was utilized to control how the model can be *** predict genetic disease,deep and machine learning approaches are *** most productive tool model provides more precise *** simulation results demonstrate that by using the proposed model with the ANN,we achieve the highest model performance of 85.7%,84.9%,84.3%accuracy of training,testing and validation *** approach will undoubtedly transform genetic disorder prediction and give a real competitive strategy to save patients’lives.

关键词： Genetic disorder machine learning deep learning single gene inheritance gene disorder mitochondrial gene inheritance disorder

Antimicrobial activity and essential oils of Curcuma aeruginosa,Curcuma mangga,and Zingiber cassumunar from Malaysia

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Asian Pacific Journal of Tropical Medicine 2012年第3期5卷 202-209页

作者： Tg Siti Amirah Tg Kamazeri Othman Abd Samah Muhammad taher Deny Susanti Haitham Qaralleh Department of Biomedical Science Kulliyyah of ScienceInternational Islamic University MalaysiaJalan IstanaBandar Indera Mahkota25200 KuantanPahangMalaysia Kulliyyah of Pharmacy International Islamic University MalaysiaJalan IstanaBandar Indera Mahkota25200 KuantanPahangMalaysia

Objective:To analyze the chemical composition of the essential oils of Curcuma aeruginosa (***),Curcuma mangga(***),and Zingiber cassumunar(***). and study their antimicrobial ***:Essential oils obtained by steam distillation were analyzed by gas chromatography-mass speclrometry(GC-MS).The antimicrobial activity of the essential oils was evaluated against four bacteria:Bacillus cereus(***).Staphylococcus aureus(***).Escherichia coli(***).and Pseudomonas aeruginosa(***);and two fungi:Candida albicans(***) and Cyptococcus neoformans(***),using disc-diffusion and broth microdilution ***:Cycloisolongifolene,8.9-dehydro-9- formyl(35.29%) and dihydrocoslunolide(22.51%) were the major compounds in *** oil; whereas caryophyllene oxide(18.71%) and caryophyllene(12.69%) were the major compounds in *** oil:and 2,6.9,9-tetramethyl-2.6.10-cycloundecatrien-1-one(60.77%) andα-caryophyllene(23.92%) were abundant in *** *** essential oils displayed varying degrees of antimicrobial activity against all lested *** oil had the highest and most broad-spectrum activity by inhibiting all microorganisms tested,with *** being the most sensitive microorganism by having the lowest minimum inhibitory concentration(MIC) and minimum fungicidal concentration(MFC) values of 0.1μL/mL. *** oil showed mild antimicrobial activity,whereas *** had very low or weak activity against the tested ***:The preliminary results suggest promising antimicrobial properties of *** and ***,which may be useful for food preservation,pharmaceutical treatment and natural therapies.

关键词： Antimicrobial Gas chromatography-mass spectrometry Essential oil Curcuma aeruginosa Curcuma mangga Zingiber cassumunar

Content Based Automated File Organization Using Machine Learning Approaches

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Computers, Materials & Continua 2022年第10期73卷 1927-1942页

作者： Syed Ali Raza Sagheer Abbas taher M.Ghazal Muhammad Adnan Khan Munir Ahmad Hussam Al Hamadi School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Department of Computer Science GC University LahorePakistan Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebangsaan MalaysiaBangiSelangorMalaysia School of Information Technology Skyline University CollegeUniversity City SharjahSharjah1797UAE Riphah School of Computing&Innovation Faculty of ComputingRiphah International University Lahore CampusLahore54000Pakistan Department of Software Pattern Recognition and Machine Learning LabGachon UniversitySeongnam13120GyeonggidoKorea Cyber-Physical Systems Khalifa UniversityAbu Dhabi127788UAE

In the world of big data,it’s quite a task to organize different files based on their *** with heterogeneous data and keeping a record of every single file stored in any folder is one of the biggest problems encountered by almost every computer *** of file management related tasks will be solved if the files on any operating system are somehow categorized according to their ***,the browsing process can be performed quickly and *** research aims to design a system to automatically organize files based on their similarities in terms of *** proposed methodology is based on a novel strategy that employs the charactaristics of both supervised and unsupervised machine learning approaches for learning categories of digital files stored on any computer *** results demonstrate that the proposed architecture can effectively and efficiently address the file organization challenges using real-world user *** results suggest that the proposed system has great potential to automatically categorize almost all of the user files based on their *** proposed system is completely automated and does not require any human effort in managing the files and the task of file organization become more efficient as the number of files grows.

关键词： File organization natural language processing machine learning