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Study on the geochemical correlation of crude oils of Palaeocene and Jurassic ages from the Potowar Indus Basin in northern Pakistan

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Chinese Journal Of Geochemistry 2010年第1期29卷 82-93页

作者： muhammad irfan Jalees Fazeelat Tahira Hina Saleem Chemistry Department University of Engineering and TechnologyLahore Institute of Environmental Engineering and Research University of Engineering and Technology

This study deals with a detailed geochemical characterization of three crude oils from the Upper Indus Basin,Punjab,*** samples were obtained from three productive oil fields of the Datta Formation(Jurassic),Lochhart(Palaeocene) and the Dhak Pass zone(Palaeocene).The GC parameters for and the bulk properties of Datta Formation oils are essentially coincident with those of the oils from the Dhak Pass Formation in the Upper Indus Basin,Pakistan and the oils likely originate from a marine source *** contrast,the Lockhart Formation oils show different behaviors and seem to be originated from dirty carbonate rocks although all three crude oils are mature,being of non-biodegraded and somewhat mixed organic matter *** Pr/Ph values and high C35 homohopane index for the Lockhart Formation oils suggest a source of anoxic environment with low Eh while oils from the Datta Formation and Dhak Pass Formation showed different trends,i.e.,lower values of C35 homohopane index indicating different depositional environment than oil from the Lockhart *** three crude oils from the Upper Indus Basin are mature for the hopane ratios,i.e.,Ts/Ts+Tm,C3222S/(S+R) and C30 αβ/(αβ+βα) and sterane ratios,i.e.,C2922S/(S+R) and C29ββ/(ββ+αα) but oils from the Lockhart Formation seem to be less mature than those from the Palaeocene and Datta Formation according to plots like API° *** Index,Pr/Ph *** relative composition of 5α(H),14β(H),17β(H)-24-ethylecholestanes and the C2920S/20S+20R index,indicate that all three crude oils are equally mature,which makes it unlikely with respect to the above said *** difference is may be due to the migratory chromatography which alters the concentrations of sterane and hoapnes and hence gives different *** oils do not exhibit UCM and have complete n-alkane profiles indicating non-biodegradation.

关键词：原油地球化学特征印度河流域巴基斯坦古新世侏罗纪非生物降解上游流域剖面显示

A Deep Learning Approach for Prediction of Protein Secondary Structure

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Computers, Materials & Continua 2022年第8期72卷 3705-3718页

作者： muhammad Zubair muhammad Kashif Hanif Eatedal Alabdulkreem Yazeed Ghadi muhammad irfan Khan muhammad Umer Sarwar Ayesha Hanif Department of Computer Science Government College UniversityFaisalabadPakistan Department of Computer Science College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh 11671Saudi Arabia Department of Software Engineering/Computer Science Al Ain UniversityAbu DhabiUnited Arab Emirates

The secondary structure of a protein is critical for establishing a link between the protein primary and tertiary *** this reason,it is important to design methods for accurate protein secondary structure *** of the existing computational techniques for protein structural and functional prediction are based onmachine learning with *** deep learning architectures have already been applied to tackle protein secondary structure prediction *** this study,deep learning based models,i.e.,convolutional neural network and long short-term memory for protein secondary structure prediction were *** input to proposed models is amino acid sequences which were derived from CulledPDB *** tuning with cross validation was employed to attain best parameters for the proposed *** proposed models enables effective processing of amino acids and attain approximately 87.05%and 87.47%Q3 accuracy of protein secondary structure prediction for convolutional neural network and long short-term memory models,respectively.

关键词： Convolutional neural network machine learning protein secondary structure deep learning long short-term memory protein secondary structure prediction

Influence of Seed Priming on Performance and Water Productivity of Direct Seeded Rice in Alternating Wetting and Drying

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Rice science 2015年第4期22卷 189-196页

作者： Hafeez Ur REHMAN muhammad KAMRAN Shahzad Maqsood Ahmed BASRA irfan AFZAL muhammad FAROOQ Department of Agronomy University of AgricultureFaisalabad Institute of Agriculture University of Western Australia College of Food and Agricultural Sciences King Saud University

Direct seeded rice is promising alternative to traditional transplanting, but requires appropriate crop and water management to maintain yield performance and achieve high water productivity. Present study evaluated the effect of seed priming and irrigation on crop establishment, tillering, agronomic traits, paddy yield, grain quality and water productivity of direct seeded rice in alternate wetting and drying （DSR-AWD） in comparison with direct seeded rice at field capacity （DSR- FC）. Seed priming treatments were osmo-priming with KCI （2.2%）, CaCI2 （2.2%） and moringa leaf extracts （MLE, 3.3%） including hydro-priming as control. Among the treatments, seed osmo-primed with MLE emerged earlier and had higher final emergence, followed by osmo-priming with CaCI2. Tillering emergence rate and number of tillers per plant were the highest for seed priming with CaCI2 in DSR- AWD. Total productive and non-productive tillers, panicle length, biological and grain yields, harvest index were highest for seed priming with MLE or CaCI2 in DSR-AWD. Similarly, grain quality, estimated in terms of normal grains, abortive and chalky grains, was also the highest in DSR-AWD with MLE osmo-priming. Benefit cost ratio and water productivity was also the highest in DSR-AWD for seed priming with MLE. In conclusion, seed priming with MLE or CaCI2 can be successfully employed to improve the direct seeded rice performance when practiced with alternate wetting and drying irrigation.

关键词： crop establishment grain filling rate seed priming water productivity yield direct seededrice alternating wetting and drying grain quality

Molecular and in vitro biochemical assessment of chemosensory protein 10 from brown planthopper Nilaparvata lugens at acidic pH

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Journal of Integrative Agriculture 2022年第3期21卷 781-796页

作者： muhammad irfan WARIS Aneela YOUNAS Rana muhammad Kaleem ULLAH Fatima RASOOL muhammad Muzammal ADEEL WANG Man-qun College of Plant Science and Technology Huazhong Agricultural UniversityWuhan 430070P.R.China National Center for Bioinformatics Quaid-i-Azam UniversityIslamaba 45320Pakistan College of Informatics Huazhong Agricultural UniversityWuhan 430070P.R.China

Chemosensory proteins(CSPs)are important molecular components of the insect olfactory system,which are involved in capturing,binding,and transporting hydrophobic odour molecules across the sensillum in sensillar lymph in regulating insect *** protein family(CSPs)is also involved in many other systems that are not linked to olfactory receptors in olfactory *** brown planthopper(BPH)is a monophagous pest of rice that causes damage by sucking phloem sap and transmitting a number of diseases caused by *** this study,fluorescence competitive binding assay and fluorescence quenching assay at acidic p H were performed as well as homology modelling to describe the binding affinity of Nlug *** competitive binding assay(FCBA)demonstrated that Nlug CSP10 bound strongly to nonadecane,farnesene,and 2-tridecanone at acidic p *** results of FCBA indicated that Nlug CSP10 bound different ligands at the physiological p H(5.0)of the bulk sensillum *** quenching assay demonstrated that Nlug CSP10 generated a stable complex with 2-tridecanone,while two ligands nonadecane and farnesene collided due to molecular *** interaction of selected ligands with the modelled structure of Nlug CSP10 was also analyzed,which found the key amino acids(Gln23,Gln24,Gln25,Asn27,Met33,Ser34,Ile35,Tyr36,Asn42,Met43,Val45,Asn46,Asn93,Arg96,Ala97,Lys99,and Ala100)in Nlug CSP10 that were involved in binding of volatile *** present study contributes to the binding profile of Nlug CSP10 that promotes the development of behaviorally active ligands based on BPH olfactory system.

关键词： insect olfaction chemosensory protein Nilaparvata lugens fluorescence competitive binding assay fluorescence quenching assay molecular docking

Advances and challenges of methanol-tolerant oxygen reduction reaction electrocatalysts for the direct methanol fuel cell

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Journal of Energy Chemistry 2023年第2期77卷 499-513,I0013页

作者： muhammad Aizaz Ud Din muhammad Idrees Sidra Jamil Syed irfan Ghazanfar Nazir muhammad Ahmad Mudassir muhammad Shahrukh Saleem Saima Batool Nanpu Cheng Rahman Saidur School of Materials and Energy Southwest UniversityChongqing 400715China Additive Manufacturing Institute College of Mechatronics and Control EngineeringShenzhen UniversityShenzhen 518060GuangdongChina Chongqing Key Lab for Advanced Materials and Clean Energies of Technologies School of Materials and EnergySouthwest UniversityChongqing 400715China School of Materials Science and Engineering Dongguan University of TechnologyDongguan 523808GuangdongChina Department of Nanotechnology and Advanced Materials Engineering Sejong UniversitySeoul 05006Republic of Korea Department of Chemistry Khawaja Fareed University of Engineering and Information TechnologyRahim Yar Khan 64200Pakistan Laboratory for High Performance Ceramics EmpaSwiss Federal Laboratories for Materials Science and Technology8600 DübendorfSwitzerland Institute for Advanced Study Shenzhen UniversityShenzhen 518060GuangdongChina Research Centre for Nano-Materials and Energy Technology School of Engineering and TechnologySunway UniversityBandar SunwayMalaysia Department of Engineering Lancaster UniversityLancasterUnited Kingdom

Methanol cross-over effects from the anode to the cathode are important parameters for reducing catalytic performance in direct methanol fuel cells.A promising candidate catalyst for the cathode in direct methanol fuel cells must have excellent activity toward oxygen reduction reaction and resistance to methanol oxidation *** review focuses on the methanol tolerant noble metal-based electrocatalysts,including platinum and palladium-based alloys,noble metal–carbon based composites,transition metal-based catalysts,carbon-based metal catalysts,and metal-free *** understanding of the correlation between the activity and the synthesis method,electrolyte environment and stability issues are *** the transition metal-based catalyst,their activity,stability and methanol tolerance in direct methanol fuel cells and comparisons with those of platinum are particularly ***,strategies to enhance the methanol tolerance and hinder the generation of mixed potential in direct methanol fuel cells are also *** review provides a perspective for future developments for the scientist in selecting suitable methanol tolerate catalyst for oxygen reduction reaction and designing high-performance practical direct methanol fuel cells.

关键词： Oxygen reducing reaction Methanol tolerant electrocatalyst Portable power sources Direct methanol Fuel cell

Electroencephalography (EEG) Based Neonatal Sleep Staging and Detection Using Various Classification Algorithms

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Computers, Materials & Continua 2023年第11期77卷 1759-1778页

作者： Hafza Ayesha Siddiqa muhammad irfan Saadullah Farooq Abbasi Wei Chen Center for Intelligent Medical Electronics Department of Electronic EngineeringFudan UniversityShanghai200433China Department of Biomedical Engineering Riphah International UniversityIslamabad45320Pakistan

Automatic sleep staging of neonates is essential for monitoring their brain development and maturity of the nervous *** based neonatal sleep staging provides valuable information about an infant’s growth and health,but is challenging due to the unique characteristics of EEG and lack of standardized *** study aims to develop and compare 18 machine learning models using Automated Machine Learning(autoML)technique for accurate and reliable multi-channel EEG-based neonatal sleep-wake *** study investigates autoML feasibility without extensive manual selection of features or hyperparameter *** data is obtained from neonates at post-menstrual age 37±05 weeks.352530-s EEG segments from 19 infants are used to train and test the proposed *** are twelve time and frequency domain features extracted from each *** model receives the common features of nine channels as an input vector of size *** model’s performance was evaluated based on a variety of evaluation *** maximum mean accuracy of 84.78%and kappa of 69.63%has been obtained by the AutoML-based Random Forest *** is the highest accuracy for EEG-based sleep-wake classification,until ***,for the AutoML-based Adaboost Random Forest model,accuracy and kappa were 84.59%and 69.24%,*** performance achieved in the proposed autoML-based approach can facilitate early identification and treatment of sleep-related issues in neonates.

关键词： AutoML Random Forest adaboost EEG neonates PSG hyperparameter tuning sleep-wake classification

Thermal Conductivity of Complex Plasmas Using Novel Evan-Gillan Approach

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Communications in Theoretical Physics 2018年第6期69卷 704-710页

作者： Aamir Shahzad Syed irfan Haider muhammad Kashif muhammad Shahzad Shifa Tariq Munir Mao-Gang He Molecular Modeling and Simulation Laboratory Department of PhysicsGovernment College University Faisalabad(GCUF)Allama Iqbal RoadFaisalabad 38040Pakistan Key Laboratory of Thermo-Fluid Science and Engineering Ministry of Education(MOE)Xi'an Jiaotong UniversityXi'an 710049China

The thermal conductivity of complex fluid materials （dusty plasmas） has been explored through novel Evan-Gillan homogeneous non-equilibrium molecular dynamic （HNEMD） algorithm. The thermal conductivity coefficient obtained from HNEMD is dependent on various plasma parameters （T,k）. The proposed algorithm gives accurate results with fast convergence and small size effect over a wide range of plasma parameters. The cross microscopic heat energy current is discussed in association with variation of temperature （1/Г） and external perturbations （Pz）. The thermal conductivity obtained from HNEMD simulations is found to be very good agreement and more reliable than previously known numerical techniques of equilibrium molecular dynarnic, nonequilibrium molecular dynamic simulations. Our new investigations point to an effective conclusion that the thermal conductivity of complex dusty plasmas is dependent on an extensive range of plasma coupling （P） and screening parameter （k） and it varies by the alteration in these parameters. It is also shown that a different approach is used for computations of thermal conductivity in 2D complex plasmas and can be appropriate method for behaviors of complex systems.

关键词： complex dusty plasma homogenous nonequilibrium molecular dynamics canonical ensemble scaling law thermal conductivity Yukawa liquids

Exploring the potential of Sentinel-2A satellite data for aboveground biomass estimation in fragmented Himalayan subtropical pine forest

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Journal of Mountain Science 2020年第12期17卷 2880-2896页

作者： Mobushir Riaz KHANI Iftikhar Ahmad KHAN muhammad Hasan Ali BAIG LIU Zheng-jia muhammad irfan ASHRAF School of Environmental Science Charles Sturt UniversityAlburyNSW 2640Australia Institute of Geo-information&Earth Observation Arid Agriculture University RawalpindiPakistan&(ii)Department of ForestAzad Jammu&Kashmir Muzaffarabad-i3100Pakistan Institute of Geo-information&Earth Observation(IGEO) PMAS Arid Agriculture University Rawalpindi 46300Pakistan Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijing 100101China Department of Forestry&Range Management PMAS Arid Agriculture University Rawalpindi 46300Pakistan

The Sentinel-2 A satellite having embedded advantage of red edge spectral bands offers multispectral imageries with improved spatial,spectral and temporal resolutions as compared to the other contemporary satellites providing medium resolution *** study was aimed at exploring the potential of Sentinel-2 A imagery to estimate Above Ground Biomass(AGB) of Subtropical Pine Forest in Pakistan administered *** developed an AGB predictive model using field inventory and Sentinel 2 A based spectral and textural parameters along with topographic features derived from ALOS Digital Elevation Model(DEM).Field inventory data was collected from 108 randomly distributed plots(0.1 ha each) across the study *** stepwise linear regression method was employed to investigate the potential relationship between field data and corresponding satellite *** and carbon mapping of the study area was carried out through established AGB estimation model with R(o.86),R2(0.74),adjusted R2(0.72) and RMSE value of 33 t/*** results showed that first order textures(mean,standard deviation and variance) significantly contributed in AGB predictive modeling while only one spectral band ratio made contribution from spectral *** study leads to the conclusion that Sentinel-2 A optical data is a potential source for AGB estimation in subtropical pine forest of the area of interest with added benefit of its free of cost availability,higher quality data and long-term continuity that can be utilized for biomass carbon distribution mapping in the resource constraint study area for sustainable forest management.

关键词： Field inventory Forest Biomass Sentinel 2A AGB Modelling Spectral features Textures

Highly efficient and selective photocatalytic dehydrogenation of benzyl alcohol for simultaneous hydrogen and benzaldehyde production over Ni-decorated Zn_(0.5)Cd_(0.5)S solid solution

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Journal of Energy Chemistry 2019年第3期28卷 71-77页

作者： Lei Zhang Daochuan Jiang Rana muhammad irfan Shan Tang Xin Chen Pingwu Du Hefei National Laboratory of Physical Science at the Microscale CAS Key Laboratory of Materials for Energy Conversion Department of Materials Science and Engineering iChEM (Collaborative Innovation Center of Chemistry for Energy Materials) University of Science and Technology of China (USTC)

Photocatalytic conversion of solar energy into hydrogen and high value-added fine chemicals has attracted increasing attention. Herein, we demonstrate an efficient photocatalytic system for simultaneous hydrogen evolution and benzaldehyde production by dehydrogenation of benzyl alcohol over Nidecorated Zn_(0.5)Cd_(0.5)S solid solution under visible light. The photocatalytic system shows an excellent hydrogen production rate of 666.3 μmol h^(-1) with high stability. The optimal apparent quantum yield of52.5% is obtained at 420 nm. This noble-metal-free photocatalytic system displays much higher activity than pure Zn_(0.5)Cd_(0.5)S and Pt-loaded Zn_(0.5)Cd_(0.5)S solid solution. Further studies reveal that the metallic Ni nanocrystals play an important role in accelerating the separation of photogenerated charge carriers and the subsequent cleavage of α-C–H bond during dehydrogenation of benzyl alcohol.

关键词： Photocatalysis Benzyl alcohol oxidation Hydrogen production Nickel Solid solution Charge separation