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      • KCI등재

        Genome-wide identification and comparative analysis of MATE gene family in Cucurbitaceae species and their regulatory role in melon (Cucumis melo) under salt stress

        Shah Iftikhar Hussain,Manzoor Muhammad Aamir,Sabir Irfan Ali,Ashraf Muhammad,Haq Fazal,Arif Samiah,Abdullah Muhammad,Niu Qingliang,Zhang Yidong 한국원예학회 2022 Horticulture, Environment, and Biotechnology Vol.63 No.4

        The multidrug and toxic compound extrusion (MATE) protein family includes a primeval gene family of secondary transporters that export toxins, extrude metabolites, and participate in plant defense mechanisms. However, lack of information regarding the MATE gene family in Cucurbitaceae, a comprehensive genome-wide analysis of the MATE family was carried out in four Cucurbitaceae species (Cucumis melo, Cucumis sativus, Cucurbita pepo, and Lagenaria siceraria), and 174 MATE genes were identified. Phylogenetic and structural analysis revealed that the Cucurbitaceae MATE transporters family could be further classified into seven subgroups (A–G). GO annotation-based subcellular localization analysis predicted that most of the MATE gene family members localized on the plasma membrane. Moreover, conserved motifs and gene structure (intron/exon) analysis revealed the functional divergence between clades. Transposed duplication events have played a key role in the expansion and evolution of the MATE gene family in Cucumis melo. Cis-acting elements analysis of MATE family genes revealed that these could be targeted by a diverse set of trans-acting factors involving the MATE gene family to manage diverse stress conditions. The Chromosomal localization and molecular characteristics (weight, length, and pI) were performed using numerous bioinformatics tools. Intraspecies microsynteny analysis demonstrated that maximum orthologous genes were found between A. thaliana, C. pepo, C. lanatus, and L. siceraria. Further, functional analysis of microRNAs demonstrated miRNAs are involved in the growth and regulation of MATE genes. Finally, eleven candidates MATE genes were selected randomly, and their expression analysis was carried out via qRT-PCR at 0 h and after 24 h of salt stress. Furthermore, transient CmMATE expression in Arabidopsis thaliana protoplasts showed that protein localized on the plasma membrane. This study provides insights into the functional analysis of the MATE gene family in Cucurbitaceae species and laid down the basic knowledge to explore the role and mechanism of the MATE gene family to cope with severe salt stress conditions.

      • Optical Spectroscopic Analysis Techniques to Detect Elemental Profile of Human Teeth Dentine

        Saifullah Jamali,Muhammad Aslam Khoso,Irfan Ali Sanjrani,Hussain Saleem,Tariq Ali Siyal,Muhammad Ashraf,Mansoor Ahmed Memon,Ghulam Murtaza,Zahid Hussain Arain,Zaheer Ahmed Ujjan,Muhammad Niaz Laghari International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.3

        Numerous articles under the study and the examination of heavy metals in human teeth have been published in recent years. The heavy metal poisoning is a widespread issue emerged in toxicology area these days. It has been discovered that long-term exposure to heavy metals typically present in traces, in our everyday meals, drinking water, and in the environment as pollution causes heavy metal poisoning in human beings. Industrial effluents, Coal and Oil, as well as a variety of consumer items, such as cosmetics, can all cause this type of exposure. Teeth, which are often thought of as exoskeleton parts, store heavy metals with a high affinity and represent long-term exposure information. In this study, we have chosen and examined the sections of dentine instead, then examined the entire tooth. We have combined the work done on the examination of heavy metals in human teeth using several instrumental approaches e.g. "Optical Spectroscopic Techniques" to detect elemental profile of human teeth in the current study.

      • Design of a Haptic Cane for Walking Stability and Rehabilitation

        Muhammad Raheel Afzal,Irfan Hussain,Yasir Jan,Jungwon Yoon 제어로봇시스템학회 2013 제어로봇시스템학회 국제학술대회 논문집 Vol.2013 No.10

        Rehabilitation is suggested to be achieved by natural walk, and it may require assistive devices. Assistance provided should motivate the patient to use his own muscle strength rather than be dependent upon the device. Therefore, the devices should only provide minimum support required for the safety, stability, confidence building and guidance. These can be achieved with light touch cue provided at the patient’s hands. The proposed haptic cane design has an active haptic handle that can give light touch cue depending upon the body orientation sensed through smartphone. The active haptic handle can be manipulated by a Pantograph mechanism. The Pantograph and arm support’s positions and orientation are adjustable. The handle and arm support are mounted on the cane having a single wheel, coupled with motor, shaft encoder and an active brake, for achieving a controlled movement. The proposed design will be able to provide rehabilitation and postural stability for the patients.

      • KCI등재

        Designed synthesis of silver nanoparticles in responsive polymeric system for their thermally tailored catalytic activity towards hydrogenation reaction

        Muhammad Shahid,Zahoor Hussain Farooqi,Robina Begum,Khalida Naseem,Muhammad Ajmal,Ahmad Irfan 한국화학공학회 2018 Korean Journal of Chemical Engineering Vol.35 No.5

        Poly(N-isopropylacrylamide-acrylamide-methacrylic acid) [p(NIPa-AAm-Ma)] polymer microgels were prepared by free radical precipitation polymerization method. AgNPs were fabricated in the sieves of polymer network by chemical reduction using AgNO3 salt as a precursor of silver ions. Various techniques like dynamic light scattering (DLS), transmission electron microscopy (TEM), Fourier transform infrared microscopy (FTIR), and UV-Visible spectroscopy were used for characterization of pure and composite microgels. The diameter of AgNPs fabricated in polymeric network was found to be in the range of 10-15 nm. Stimuli responsive behavior of hybrid microgels was same as that of pure microgels. Catalytic efficiency of the hybrid microgels was investigated by reducing 4-Nitroaniline (4-NA) into 4-Aminoaniline (4-AA) using NaBH4 as reducing agent under different conditions of temperature of the medium, concentration of reducing agent, 4-Nitroaniline and hybrid microgels to explore the catalysis process. Kinetic and thermodynamic aspects of reduction of 4-Nitroaniline in the presence of catalyst were also discussed on the basis of values of Arrhenius and Eyring parameters like pre-exponential factor, activation energy, enthalpy of activation and entropy of activation. Catalytic activity of the hybrid microgels was found to be thermally tunable in the temperature range of 25- 70 oC. The value of rate constant (kapp) for reduction of 4-NA was minimum at 55 oC, which can be attributed to volume phase transition of the hybrid microgels.

      • Comprehensible knowledge model creation for cancer treatment decision making

        Afzal, Muhammad,Hussain, Maqbool,Ali Khan, Wajahat,Ali, Taqdir,Lee, Sungyoung,Huh, Eui-Nam,Farooq Ahmad, Hafiz,Jamshed, Arif,Iqbal, Hassan,Irfan, Muhammad,Abbas Hydari, Manzar Elsevier 2017 Computers in biology and medicine Vol.82 No.-

        <P><B>Abstract</B></P> <P> <I>Background</I>: A wealth of clinical data exists in clinical documents in the form of electronic health records (EHRs). This data can be used for developing knowledge-based recommendation systems that can assist clinicians in clinical decision making and education. One of the big hurdles in developing such systems is the lack of automated mechanisms for knowledge acquisition to enable and educate clinicians in informed decision making. <I>Materials and Methods</I>: An automated knowledge acquisition methodology with a comprehensible knowledge model for cancer treatment (CKM-CT) is proposed. With the CKM-CT, clinical data are acquired automatically from documents. Quality of data is ensured by correcting errors and transforming various formats into a standard data format. Data preprocessing involves dimensionality reduction and missing value imputation. Predictive algorithm selection is performed on the basis of the ranking score of the weighted sum model. The knowledge builder prepares knowledge for knowledge-based services: clinical decisions and education support. <I>Results</I>: Data is acquired from 13,788 head and neck cancer (HNC) documents for 3447 patients, including 1526 patients of the oral cavity site. In the data quality task, 160 staging values are corrected. In the preprocessing task, 20 attributes and 106 records are eliminated from the dataset. The Classification and Regression Trees (CRT) algorithm is selected and provides 69.0% classification accuracy in predicting HNC treatment plans, consisting of 11 decision paths that yield 11 decision rules. <I>Conclusion</I>: Our proposed methodology, CKM-CT, is helpful to find hidden knowledge in clinical documents. In CKM-CT, the prediction models are developed to assist and educate clinicians for informed decision making. The proposed methodology is generalizable to apply to data of other domains such as breast cancer with a similar objective to assist clinicians in decision making and education.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Automated methods for data acquisition from clinical documents and preprocessing. </LI> <LI> Data quality assessment and standardization of language for improved data accuracy. </LI> <LI> Machine learning algorithm selection on the basis of weighted sum model's ranking score. </LI> <LI> The development of a decision tree-based knowledge model for treatment recommendations. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

      • KCI등재

        A State-of-the-Art Review on Recently Developed Sustainable and Green Cooling/Lubrication Technologies in Machining Metal Matrix Composites (MMCs)

        Rashid Ali Laghari,Ning He,Muhammad Jamil,Muhammad Irfan Hussain,Munish Kumar Gupta,Grzegorz M. Krolczyk 한국정밀공학회 2023 International Journal of Precision Engineering and Vol.10 No.6

        Metal matrix composites (MMCs) are lightweight, hard materials applied in heavy-duty applications such as automobile, aerospace, and electronics, as well as sports equipment. MMCs reveal exceptional physical and mechanical properties, including high strength, corrosion, wear resistance, higher stiffness, and toughness. However, owing to poor surface finish, accelerated tool wear, and high material removal cost, MMCs are categorized as difficult-to-cut composites. This article reviews sustainable machining under different lubrication and cooling approaches and the economics of the operation for MMCs. The study focuses on optimizing machinability factors, such as surface integrity, chip formation, tool wear, and sustainability analysis. To attain this goal, the review evaluates suitable cutting parameters for Aluminum, Titanium, Magnesium, and Copper-based metal matrix composites, which hitherto have not been explored or summarized comprehensively. This study provides strong guidance regarding selection of precise cutting parameters for MMCs. The findings of this review suggest that different cooling/lubrication technologies can optimize and improve the sustainability and machinability characteristics, extend tool life and surface quality, during the cutting operation.

      • KCI등재

        Maternal Vitamin D Supplementation for the Prevention of Respiratory Tract Infections in Offspring: A Meta-Analysis

        Zaharah Sulaiman,Norhayati Mohd Noor,Shaiful Bahari Ismail,Anis Syahirah Far’ain Mohd Lukman,Muhammad Irfan,Nik Hazlina Nik Hussain 대한가정의학회 2022 Korean Journal of Family Medicine Vol.43 No.3

        Background: Vitamin D may enhance immune system function and provide a protective effect against infections. Feto-maternal circulation plays an important role in supplying the developing fetus with nutrients and antibodies for its development and health during pregnancy and for its early years of life after birth. This meta-analysis aimed to determine the effectiveness of maternal vitamin D supplementation in preventing respiratory tract infections (RTIs) in children.Methods: We searched the Central and MEDLINE databases and went through all the reference lists in the related articles. We also searched for ongoing trials at http://www.who.int/ictrp/en/ and www.clinicaltrials.gov. Random-ized controlled trials comparing vitamin D supplementation with a placebo or no treatment in pregnant women published in the English language up to March 2019 were included. Two reviewers extracted data independently using a predefined protocol and assessed the risk of bias using the Cochrane risk of bias tool, with differences agreed upon by consensus. The predefined primary outcome was the number of offspring who had RTIs. The sec-ondary outcome was the presence of measurable serum immunoglobulin E levels.Results: Three trials involving 3,224 participants (mother–child pairs) met the inclusion criteria and were included in this review. The present analysis reported that maternal supplementation with vitamin D had no effect on RTIs among children (n=1,486 offspring; risk ratio, 0.95; 95% confidence interval, 0.82–1.11; random effects; I2 statistics, 0%).Conclusion: Maternal vitamin D supplementation had no effect on RTIs in children. Therefore, consideration of other prevention methods in this regard is recommended.

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