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Estimation of soil carbon pools in the forests of Khyber Pakhtunkhwa Province, Pakistan

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Journal of Forestry Research 2020年第6期31卷 2313-2321页

作者： Anwar Ali muhammad irfan Ashraf Saeed Gulzar muhammad Akmal Bilal Ahmad Pakistan Forest Institute Peshawar 25130Pakistan Department of Forestry and Range Management PMAS Arid Agriculture UniversityRawalpindi 46300Pakistan Institute of Soil Science PMAS Arid Agriculture UniversityRawalpindi 46300Pakistan Institute of Agriculture Sciences and Forestry University of SwatSwat 19130Pakistan

Forest soils have high carbon densities compared to other *** carbon sequestration is important to reduce CO 2 concentrations in the *** eff ective climate change mitigation strategy involves limiting the emissions of greenhouse gases from *** Pakhtunkhwa is the most forested province of Pakistan,hosting about one-third of the country’s 4.5×106 ha forest *** organic carbon in the province’s forests was estimated through a fi eld-based study carried out during 2014–17 covering the whole *** was collected from 373 sample plots laid out in diff erent forest types using a stratifi ed cluster sampling *** total quantity of soil organic carbon was estimated at 59.4×106 t with an average of 52.4±5.3 t/*** 69%of the total soil carbon is present in temperate *** broad-leaved and subtropical pine forests constitute 11.4%and 8.8%of the soil carbon stock ***,subalpine and oak forests have respective shares of 5.1%and 5.7%in the soil carbon *** lowest carbon stock(0.1%)was found in dry-tropical thorn *** highest soil carbon density was found in subalpine forests(69.5±7.2 t/ha)followed by moist temperate forests(68.5±6.7 t/ha)and dry temperate forests(60.7±6.5 t/ha).Oak forests have carbon density of 43.4±7.1 t/*** pine,subtropical broad-leaved and dry tropical thorn forests have soil carbon densities of 36.3±3.7,32.8±6.2 and 31.5±3.5 t/ha,*** forests of the Khyber Pakhtunkhwa province have substantial amounts of soil carbon which must be conserved for climate change mitigation and maintenance of sound forest health.

关键词： Soil carbon Carbon sequestration Climate change Carbon sink Forests Khyber Pakhtunkhwa

Neural stem cell-based in vitro bioassay for the assessment of neurotoxic potential of water samples

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Journal of Environmental Sciences 2021年第3期33卷 72-86页

作者： muhammad irfan Masood Natalie Tamara Hauke muhammad Jawad Nasim muhammad Sarfraz Mahrukh Naseem Karl Herbert Schäfer Division of Bioorganic Chemistry School of PharmacySaarland UniversityD-66123 SaarbrückenGermany Applied Life Sciences University of Applied Sciences Kaiserslautern66482 ZweibrückenGermany ENS Group University of Applied Sciences Kaiserslautern66482 ZweibrückenGermany Abwasserverband Bergstrasse Altau 1069469 WeinheimGermany Institute of Pharmaceutical Sciences University of Veterinary and Animal Sciences54000 LahorePakistan Department of Zoology University of BalochistanQuetta 87550Pakistan

Intensive agriculture activities,industrialization and growing numbers of wastewater treatment plants along river banks collectively contribute to the elevated levels of neurotoxic pollutants in natural water reservoirs across *** established an in vitro bioassay based upon neural stem cells isolated from the subventricular zone of the postnatal mouse to evaluate the neurotoxic potential of raw wastewater,treated sewage effluent,groundwater and drinking *** toxic potential of water samples was evaluated employing viability,proliferation,differentiation and migration *** found that raw wastewater could reduce the viability and proliferation of neural stem cells,and decreased the neuronal and astrocyte differentiation,neuronal neurite growth,astrocyte growth and cell *** sewage water also showed inhibitory effects on cell proliferation and *** results indicated that relatively high concentrations of nitrogenous substances,pesticides,mercuric compounds,bisphenol-A,and phthalates,along with some other pollutants in raw wastewater and treated sewage water,might be the reason for the neuroinhibitory effects of these water *** model successfully predicted the neurotoxicity of water samples collected from different sources and also revealed that the incomplete removal of contaminants from wastewater can be problematic for the developing nervous *** presented data also provides strong evidence that more effective treatments should be used to minimize the contamination of water before release into major water bodies which may be considered as water reservoirs for human usage in the future.

关键词： Neural stem cells Subventricular zone Neurotoxicity Bioassay Treated sewage effluents Pesticides

Appraisal of MsepCSP14 for chemosensory functions in Mythimna separata

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Insect Science 2022年第1期29卷 162-176页

作者： Aneela Younas muhammad irfan Waris muhammad Shaaban muhammad Tahir ul Qamar Man-Qun Wang College of Plant Science and Technology Huazhong Agricultural UniversityWuhanChina Department of Soil Science Faculty of Agricultural Sciences and TechnologyBahauddin Zakariya UniversityMultanPakistan State Key Laboratory of Conservation and Utilization of Subtropical Agro-bioresources College of Life Science and TechnologyGuangxi UniversityNanning530005China

Chemosensory proteins (CSPs) have great contributions in performing diverse functions in insects. However, physiological appraisal of chemosensory protein genes still remains elusive in insects. We studied expression patterns and binding affinities of MsepCSP14, a chemosensory protein, in Mythimna separata. The distinct functions of MsepCSP14 were validated by employing different molecular techniques. The MsepCSP14 had high resemblance of sequence with chemosensory proteins of other insect family members. The MsepCSP14 expression was higher in antennal tissues of females than other tissues. Fluorescence binding assay validated that binding of nine out of 21 ligands to MsepCSP14 was higher at pH 7.4 than at pH 5.0. Three dimensional modeling (3D) and docking analysis predicted that amino acid residues of MsepCSP14 were involved in binding of compounds, and behavior assay displayed that adults of M. separata considerably responded to four volatiles from compounds demonstrating strong binding ability to MsepCSP14. Results of the present study suggest that MsepCSP14 is likely to mediate chemosensory functions in M. separata.

关键词： chemoreception expression pattern fluorescent binding olfaction oriental army worm Y-tube

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

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

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

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