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Journal of Environmental Sciences 2015年第11期27卷 51-58页

作者： Azhar Abbas muhammad Ajaz Hussain muhammad Amin muhammad sher muhammad Nawaz Tahir Wolfgang Tremel Department of Chemistry University of Sargodha Institute of Inorganic and Analytical Chemistry Johannes Guttenberg University

Chemically modified pullulan was evaluated for its sorption efficiency and selectivity to remove cadmium（Cd） from spiked high-hardness groundwater（GW）. Pullulan esterified with succinic anhydride using dimethylaminopyridine showed a fairly high degree of substitution value as confirmed by1 H NMR spectroscopy. Pullulan succinate（Pull-Suc） was converted into the sodium salt（Pull-Suc-Na）. The effect of contact time（5–200 min） and p H（2–8） on Cd-uptake by the sorbent（Pull-Suc-Na） was investigated. The sorbent showed more than 90% Cd-removal in first 15 min from distilled water（DW） and GW solution,respectively. Comparison of Pull-Suc-Na with other polysaccharidal sorbents suggested its high efficiency（DW 476.2 mg/g and GW 454.5 mg/g） and selectivity for the removal of Cd by an ion exchange mechanism, which is further supported by the negative Gibbs free energy values calculated from Langmuir isotherms. A Langmuir isotherm kinetic model provided the best fit for the sorption of Cd using Pull-Suc-Na. The sorbent showed a negligible decrease in Cd-uptake over three regeneration cycles. The thermal stability testing of the sorbents indicated that Pull-Suc-Na（sorbent） is more stable than Pull-Suc.

关键词： Adsorption Cadmium Modified pullulan Succinylation Thermal stability

Phosphorus-Mobilizing Rhizobacterial Strain Bacillus cereus GS6 Improves Symbiotic Efficiency of Soybean on an Aridisol Amended with Phosphorus-Enriched Compost

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Pedosphere 2017年第6期27卷 1049-1061页

作者： muhammad Saleem ARIF muhammad RIAZ sher muhammad SHAHZAD Tahira YASMEEN Shafaqat ALI muhammad Javed AKHTAR Department of Environmental Sciences and Engineering Government College University Faisalabad Department of Soil&Environmental Sciences University College of AgricultureUniversity of Sargodha Institute of Soil&Environmental Science University of Agriculture Faisalabad

Legume plants are an essential component of sustainable farming ***(P) deficiency is a significant constraint for legume production, especially in nutrient-poor soils of arid and semi-arid *** the present study, we conducted a pot experiment to evaluate the effects of a phosphorus-mobilizing plant-growth promoting rhizobacterial strain Bacillus cereus GS6, either alone or combined with phosphate-enriched compost(PEC) on the symbiotic(nodulation-N_2 fixation) performance of soybean(Glycine max(L.) Merr.) on an *** PEC was produced by composting food waste with addition of single super *** bacterial strain *** GS6 showed considerable potential for P solubilization and mobilization by releasing carboxylates in insoluble P(rock phosphate)-enriched *** of *** GS6 in combination with PEC application significantly improved nodulation and nodule N_2 fixation *** to the control(without *** GS6 and PEC), the combined application of *** GS6 with PEC resulted in significantly higher accumulation of nitrogen(N), P, and potassium(K) in grain, shoot, and *** N:P and P:K ratios in nodules were significantly altered by the application of PEC and *** GS6, which reflected the important roles of P and K in symbiotic performance of *** combined application of PEC and *** GS6 also significantly increased the soil dehydrogenase and phosphomonoesterase activities, as well as the soil available N, P, and K *** positive relationships were found between soil organic carbon(C) content, dehydrogenase and phosphomonoesterase activities, and available N, P, and K *** study suggests that inoculation of P-mobilizing rhizobacteria, such as *** GS6, in combination with PEC application might enhance legume productivity by improving nodulation and nodule N_2 fixation efficiency.

关键词： arid and semi-arid regions carboxylate N2 fixation nodulation nutrient availability nutrient-poor soils plant growth-promoting rhizobacteria (PGPR) soil enzymes

Active Learning Strategies for Textual Dataset-Automatic Labelling

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Computers, Materials & Continua 2023年第8期76卷 1409-1422页

作者： sher muhammad Daudpota Saif Hassan Yazeed Alkhurayyif Abdullah Saleh Alqahtani muhammad Haris Aziz Department of Computer Science Sukkur IBA UniversitySukkur65200Pakistan Al Quwayiyah College of Sciences and Humanities Shaqra UniversityShaqra15526Saudi Arabia Self-Development Skills Department Common First Year DeanshipKing Saud UniversityRiyadh12373Saudi Arabia STC’s Artificial Intelligence Chair Department of Information SystemsCollege of Computer and Information SciencesKing Saud UniversityRiyadh11451Saudi Arabia College of Engineering&Technology University of SargodhaSargodha40100Pakistan

The Internet revolution has resulted in abundant data from various sources,including social media,traditional media,*** the availability of data is no longer an issue,data labelling for exploiting it in supervised machine learning is still an expensive process and involves tedious human *** overall purpose of this study is to propose a strategy to automatically label the unlabeled textual data with the support of active learning in combination with deep *** specifically,this study assesses the performance of different active learning strategies in automatic labelling of the textual dataset at sentence and document *** achieve this objective,different experiments have been performed on the publicly available *** first set of experiments,we randomly choose a subset of instances from training dataset and train a deep neural network to assess performance on test *** the second set of experiments,we replace the random selection with different active learning strategies to choose a subset of the training dataset to train the same model and reassess its performance on test *** experimental results suggest that different active learning strategies yield performance improvement of 7% on document level datasets and 3%on sentence level datasets for auto labelling.

关键词： Active learning automatic labelling textual datasets

Context Based Adoption of Ranking and Indexing Measures for Cricket Team Ranks

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Computers, Materials & Continua 2020年第11期65卷 1113-1136页

作者： Raja sher Afgun Usmani Syed muhammad Saqlain Shah muhammad sher Ramzan Abdullah Saad A.L-Malaise AL-Ghamdi Anwar Ghani Imran Khan Farrukh Saleem Department of CS&SE International Islamic UniversityH-10 SectorIslamabad44000Pakistan Department of Information System Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia

There is an international cricket governing body that ranks the expertise of all the cricket playing nations,known as the International Cricket Council(ICC).The ranking system followed by the ICC relies on the winnings and defeats of the *** model used by the ICC to implement rankings is deficient in certain key *** ignores key factors like winning margin and strength of the *** measures of the ranking concept are presented in this *** proposed methods adopt the concepts of h-Index and PageRank for presenting more comprehensive ranking *** proposed approaches not only rank the teams on their losing/winning stats but also take into consideration the margin of winning and the quality of the *** cricket team ranking techniques are presented i.e.,(1)Cricket Team-Index(ct-index),(2)Cricket Team Rank(CTR)and(3)Weighted Cricket Team Rank(WCTR).The proposed metrics are validated through the collection of cricket dataset,extracted from Cricinfo,having instances for all the three formats of the game i.e.,T20 International(T20i),One Day International(ODI)and Test *** comparative analysis between the proposed and existing techniques,for all the three formats,is presented as well.

关键词： Indexing ranking cricket teams runs and wickets

A Semi-Supervised Approach for Aspect Category Detection and Aspect Term Extraction from Opinionated Text

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Computers, Materials & Continua 2023年第10期77卷 115-137页

作者： Bishrul Haq sher muhammad Daudpota Ali Shariq Imran Zenun Kastrati Waheed Noor Department of Computer Science Sukkur IBA UniversitySukkur65200Pakistan Department of Computer Science Norwegian University of Science and Technology(NTNU)Gjøvik2815Norway Department of Informatics Linnaeus UniversityVäxjö35195Sweden Department of Computer Science&IT University of BalochistanQuetta87300Pakistan

The Internet has become one of the significant sources for sharing information and expressing users’opinions about products and their interests with the associated *** is essential to learn about product reviews;however,to react to such reviews,extracting aspects of the entity to which these reviews belong is equally ***-based Sentiment Analysis(ABSA)refers to aspects extracted from an opinionated *** literature proposes different approaches for ABSA;however,most research is focused on supervised approaches,which require labeled datasets with manual sentiment polarity labeling and aspect *** study proposes a semisupervised approach with minimal human supervision to extract aspect terms by detecting the aspect ***,the study deals with two main sub-tasks in ABSA,named Aspect Category Detection(ACD)and Aspect Term Extraction(ATE).In the first sub-task,aspects categories are extracted using topic modeling and filtered by an oracle further,and it is fed to zero-shot learning as the prompts and the augmented *** predicted categories are the input to find similar phrases curated with extracting meaningful phrases(e.g.,Nouns,Proper Nouns,NER(Named Entity Recognition)entities)to detect the aspect *** study sets a baseline accuracy for two main sub-tasks in ABSA on the Multi-Aspect Multi-Sentiment(MAMS)dataset along with SemEval-2014 Task 4 subtask 1 to show that the proposed approach helps detect aspect terms via aspect categories.

关键词： Natural language processing sentiment analysis aspect-based sentiment analysis topic-modeling POS tagging zero-shot learning

Using Landsat images to monitor changes in the snow-covered area of selected glaciers in northern Pakistan

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Journal of Mountain Science 2017年第10期14卷 2013-2027页

作者： Chaman GUL KANG Shi-chang Badar GHAURI Mateeul HAQ sher muhammad Shaukat ALI State Key Laboratory of Cryosphere Science Northwest Institute of Eco-Environment and Resources Chinese Academy of SciencesLanzhou 73000 China University of Chinese Academy of Sciences No.19A Yuquan Road Beijing 100049 China CAS Center for Excellence in Tibetan Plateau Earth Sciences Beijing 100101 China Institute of Space Technology (IST) Karachi Pakistan Space and Upper Atmosphere Research Commission (SUPARCO) Karachi Pakistan Global Change Impact Studies Centre (GCISC) Ministry of Climate Change Islamabad Pakistan

Landsat satellite images were used to map and monitor the snow-covered areas of four glaciers with different aspects(Passu: 36.473°N, 74.766°E;Momhil: 36.394°N, 75.085°E; Trivor: 36.249°N,74.968°E; and Kunyang: 36.083°N, 75.288°E) in the upper Indus basin, northern Pakistan, from 1990-2014. The snow-covered areas of the selected glaciers were identified and classified using supervised and rule-based image analysis techniques in three different seasons. Accuracy assessment of the classified images indicated that the supervised classification technique performed slightly better than the rule-based technique. Snow-covered areas on the selected glaciers were generally reduced during the study period but at different rates. Glaciers reached maximum areal snow coverage in winter and premonsoon seasons and minimum areal snow coverage in monsoon seasons, with the lowest snow-covered area occurring in August and September. The snowcovered area on Passu glacier decreased by 24.50%,3.15% and 11.25% in the pre-monsoon, monsoon and post-monsoon seasons, respectively. Similarly, the other three glaciers showed notable decreases in snow-covered area during the pre-and post-monsoon seasons; however, no clear changes were observed during monsoon seasons. During pre-monsoon seasons, the eastward-facing glacier lost comparatively more snow-covered area than the westward-facing glacier. The average seasonal glacier surface temperature calculated from the Landsat thermal band showed negative correlations of-0.67,-0.89,-0.75 and-0.77 with the average seasonal snowcovered areas of the Passu, Momhil, Trivor and Kunyang glaciers, respectively, during pre-monsoon seasons. Similarly, the air temperature collected from a nearby meteorological station showed an increasing trend, indicating that the snow-covered area reduction in the region was largely due to climate warming.

关键词： Snow-covered area Glacier Global warming Classification technique Northern Pakistan

A decline in snow cover area of Passu and Ghulkin valleys between 1995 and 2022

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Journal of Mountain Science 2023年第12期20卷 3542-3551页

作者： Imran HUSSAIN Mumtaz ALI sher muhammad Wajid HASSAN Salar ALI Zakir HUSSAIN Syed Hammad ALI Shaukat ALI muhammad Younis KHAN Department of Environmental Sciences University of BaltistanSkardu 16100Pakistan Micromaps IT and GIS Consultancy LLC 26135UAE International Centers for Integrated Mountain Development(ICIMOD) G.P.O.Box 3226KathmanduNepal Institute of Mountain Hazards and Environment Chinese Academy of SciencesChengdu 610041China University of Chinese Academy of Sciences Beijing 100049China Glacier Monitoring Research Centre(GMRC) Water and Power Development Authority(WAPDA)Lahore 54000Pakistan SickKids Centre for Global Child Health The Hospital for Sick ChildrenTorontoOntario M5G 2L3Canada Global Change Impact Studies Center(GCISC) Islamabad 44000Pakistan Departments of Earth Sciences College of ScienceSultan Qaboos UniversityMuscat 123Oman National Centers of Excellence in Geology(NCEG) University of PeshawarPeshawar 25130Pakistan

The global cryosphere is experiencing accelerated melting due to climate ***,the Karakoram anomaly is under discussion with a debate about the possibility that the anomaly may have recently *** study aims to evaluate the up-to-date changes in snow cover in the western Karakoram *** observed the snow cover changes in Passu and Ghulkin valleys in the Hunza River basin(HRB)of the Karakoram through multitemporal Landsat satellite data between 1995 and *** found a significant reduction in snow cover in these valleys,with an average reduction rate of 0.42 km~2/yr,resulting in a total reduction of~11.46 km~2 between 1995 and *** reduction in snow cover is consistent with the mass loss of glaciers in the Karakoram region in recent *** decline in snow cover in these valleys is also consistent with the meteorological *** temperature in summer(June)has significantly increased whereas the precipitation in the accumulation season(March)has *** rapid changes suggest that it is crucially important to monitor the snow cover on a regular basis to support downstream management of snowmelt *** addition,there is a need of planning for mitigation and adaptation strategies for snow-related hazards.

关键词： Cryosphere Snow covers area Climate change Karakoram

Identifying glyphosate-tolerant maize by soaking seeds in glyphosate solution

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Journal of Integrative Agriculture 2018年第10期17卷 2302-2309页

作者： YAN Shu-feng sher muhammad LIU Hai-fang TIE Shuang-gui SUN Shu-ku Cereal Crops Research Institute Henan Academy of Agricultural Sciences Zhengzhou 450002 P.R.China Jamil-ur-Rahman Center for Genome Research International Center for Chemical and Biological Sciences University of Karachi Karachi 75270 Pakistan Institute of Paulownia Henan Agricultural University Zhengzhou 450002 P.R. China Qiqihar Fuer Agronomy Incorporation Qiqihar 161041 P.R. China

The identification of glyphosate-tolerant maize genotypes by field spraying with glyphosate is time-consuming, costly and requires treatment of a large area. We report a potentially better technique of seed-soaking to identify glyphosate-tolerant maize genotypes. The effects of soaking maize seeds in glyphosate solution under controlled conditions were studied on seed germination rate, seedling morphological indices, seedling growth and leaf chlorophyll content. These responses were compared among a glyphosate-tolerant transgenic maize cultivar CC-2, glyphosate-susceptible inbred line Zheng 58（the recurrent parent of CC-2） and hybrid cultivar Zhengdan 1002. The results showed that the germination rate, seedling morphological indices and leaf chlorophyll content of glyphosate-tolerant CC-2 seeds did not change significantly among five different concentrations of glyphosate treatment（0 to 2%）. In contrast, germination rates, seedling morphological indices and leaf chlorophyll contents of Zheng 58 and Zhengdan 1002 seeds were significantly negatively affected by exposure to increasing concentrations of glyphosate. The glyphosate-tolerant inbred line CC-2 displayed a strong tolerance to glyphosate after soaking in 0.1 to 2.0% glyphosate solutions, while both the inbred line Zheng 58 and hybrid Zhengdan 1002 were susceptible to glyphosate. The accuracy of the glyphosate-soaking method for screening glyphosate-tolerant maize was confirmed using a field spraying trial.

关键词： EPSPS glyphosate leaf chlorophyll content maize seed-soaking

Growth, yield and fiber quality characteristics of Bt and non-Bt cotton cultivars in response to boron nutrition

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Journal of Cotton Research 2023年第1期6卷 1-12页

作者： MEHRAN muhammad ASHRAF muhammad SHAHZAD sher muhammad SHAKIR muhammad Siddique AZHAR muhammad Tehseen AHMAD Fiaz ALVI Alamgir Department of Soil Science Bahauddin Zakariya UniversityMultanPakistan Department of Soil and Environmental Sciences College of AgricultureUniversity of SargodhaSargodhaPakistan Pesticide Residue Laboratory Kala Sha KakuPakistan Department of Plant Breeding and Genetics University of AgricultureFaisalabadPakistan Physiological/Chemistry Section Central Cotton Research InstituteMultanPakistan Soil and Water Testing Laboratory JhelumPakistan School of Agricultural Science Zhengzhou UniversityZhengzhou450000China

Background Boron(B)deficiency is an important factor for poor seed cotton yield and fiber ***,it is often missing in the plant nutrition program,particularly in developing *** current study investigated B’s effect on growth,yield,and fiber quality of Bt(CIM-663)and non-Bt(Cyto-124)cotton *** experimental plan consisted of twelve treatments:Control(CK);B at 1 mg·kg^(−1) soil application(SB1);2 mg·kg^(−1) B(SB2);3 mg·kg^(−1) B(SB3);0.2%B foliar spray(FB1);0.4%B foliar spray(FB2);1 mg·kg^(−1) B+0.2%B foliar spray(SB1+FB1);1 mg·kg^(−1) B+0.4%B foliar spray(SB1+FB2);2 mg·kg^(−1) B+0.2%B foliar spray(SB2+FB1);2 mg·kg^(−1) B+0.4%B foliar spray(SB2+FB2);3 mg·kg^(−1) B+0.2%B foliar spray(SB3+FB1);3 mg·kg^(−1) B+0.4%B foliar spray(SB3+FB2).Each treat-ment has three replications,one pot having two plants per *** B nutrition at all levels and methods of application significantly(P≤0.05)affected the growth,physiological,yield,and fiber quality characteristics of both cotton ***,SB2 either alone or in combination with foliar spray showed superiority over others,particularly in the non-Bt cultivar which responded better to B ***-mum improvement in monopodial branches(345%),sympodial branches(143%),chlorophyll-a(177%),chlorophyll-b(194%),photosynthesis(169%),and ginning out turn(579%)in the non-Bt cultivar was found with SB2 compared with *** Bt cultivar,although no consistent trend was found but integrated use of SB3 with foliar spray performed relatively better for improving cotton growth compared with other *** quality characteristics in both cultivars were improved markedly but variably with different B *** B nutrition with SB2 either alone or in combination with foliar spray was found optimum for improving cotton’s growth and yield characteristics.

关键词： Boron Cotton Fiber length Fiber strength GOT Micronaire value Seed cotton yield

Genome-wide association analysis for stripe rust resistance in spring wheat(Triticum aestivum L.) germplasm

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Journal of Integrative Agriculture 2020年第8期19卷 2035-2043页

作者： sher muhammad muhammad SAJJAD Sultan Habibullah KHAN muhammad SHAHID muhammad ZUBAIR Faisal Saeed AWAN Azeem iqbal KHAN muhammad Salman MUBARAK Ayesha TAHIR muhammad UMER Rumana KEYANI muhammad InamAFZAL Irfan MANZOOR Javed Iqbal WATTOO Aziz-ur REHMAN Department of Bioinformatics and Biotechnology GC UniversityFaisalabad 38090Pakistan Department of Biosciences COMSATS University Islamabad(CUI)Islamabad 45550Pakistan Centre of Agricultural Biochemistry and Biotechnology(CABB) University of AgricultureFaisalabad 38000Pakistan Department of Plant Breeding and Genetics University of AgricultureFaisalabad 38000Pakistan Department of Biotechnology Faculty of Life SciencesUniversity of Central PunjabLahore 54000Pakistan Wheat Research Institute Ayub Agricultural Research Institute(AARI)Faisalabad 38950Pakistan

Stripe rust is a continuous threat to wheat crop all over the *** causes considerable yield losses in wheat crop every *** deployment of adult plant resistance(APR)genes in newly developing wheat cultivars is the most judicious strategy to combat this ***,we dissected the genetics underpinning stripe rust resistance in Pakistani wheat *** association panel of 94 spring wheat genotypes was phenotyped for two years to score the infestation of stripe rust on each accession and was scanned with 203 polymorphic *** on D’measure,linkage disequilibrium(LD)exhibited between loci distant up to 45 c ***-trait associations(MTAs)were determined using mixed linear model(MLM).Total 31 quantitative trait loci(QTLs)were observed on all 21 wheat *** QTLs were newly discovered as well as 19 QTLs and 35 previously reported Yr genes were validated in Pakistani wheat *** major QTLs were ***.2 AL and ***.3 BS(PVE,11.9%).Dissection of genes from the newly observed QTLs can provide new APR genes to improve genetic resources for APR resistance in wheat crop.

关键词： wheat Puccinia striiformis LD GWAS MTA PCoA