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| 1 | Gene-gene,gene-environment,gene-nutrient interactions and single nucleotide polymorphisms of inflammatory cytokines显示文摘Inflammation plays a significant role in the etiology of type 2 diabetes mellitus(T2DM).The rise in the pro-inflammatory cytokines is the essential step in glucotoxicity and lipotoxicity induced mitochondrial injury,oxidative stress and beta cell apoptosis in T2 DM.Among the recognized markers are interleukin(IL)-6,IL-1,IL-10,IL-18,tissue necrosis factor-alpha(TNF-α),C-reactive protein,resistin,adiponectin,tissue plasminogen activator,fibrinogen and heptoglobins.Diabetes mellitus has firm genetic and very strong environmental influence; exhibiting a polygenic mode of inheritance.Many single nucleotide polymorphisms(SNPs) in various genes including those of pro and antiinflammatory cytokines have been reported as a risk for T2 DM.Not all the SNPs have been confirmed by unifying results in different studies and wide variations have been reported in various ethnic groups.The inter-ethnic variations can be explained by the fact that gene expression may be regulated by gene-gene,gene-environment and gene-nutrient interactions.This review highlights the impact of these interactions on determining the role of single nucleotide polymorphism of IL-6,TNF-α,resistin and adiponectin in pathogenesis of T2 DM. | Amina Nadeem Sadaf Mumtaz Abdul Khaliq Naveed Muhammad Aslam Arif Siddiqui Ghulam Mustafa Lodhi Tausif Ahmad | 2015 | World Journal of Diabetes2015，6，4： | 4 |
| 2 | Left‐sided hepatic resection for hepatolithiasis: a longitudinal study of 110 patients显示文摘 | Omar Javed Shah Irfan Robbani Parveen Shah Showkat Ali Zargar Gul Javaid Ghulam N Yattoo Altaf Shah Farhat Mustafa | 2012 | HPB2012，，11： | 2 |
| 3 | 3^(1/2)细分曲面的误差界(英文)显示文摘给出了3^(1/2)细分曲面和其k次细分后控制网之间的误差界估计.误差界是用初始控制点序列的一阶向前极大差分和常数表示的.采用的方法是对四边形细分框架中已有技术的推广. | MUSTAFA Ghulam HASHMI Sadiq KHAN Faheem | 2009 | 中国科学技术大学学报2009，39，6： | 1 |
| 4 | Characterization and Comparison of Commercial Chinese Cereal and European Grape Vinegars Using ^1H NMR Spectroscopy Combined with Multivariate Analysis显示文摘对来自不同国家的醋的一个整体、比较的优秀评价与醋的国际贸易被需要变得经常。在这研究,商业等级的中国谷物和欧洲葡萄醋的混合物描述和比较用 1 结合的 H NMR 光谱学主要部件分析(PCA ) 和到潜伏的结构的直角的设计区别分析(OPLS-DA ) 。结果证明深紫色的香膏质的醋被更高的数量清楚地区别果糖并且葡萄糖当中国芳香的醋和年老的醋被氨基酸,不稳定的混合物, succinate 和 betaine 的更高的数量描绘时。在另一方面,香料在中国米饭醋加重,欧洲酒醋是不到其它。这些典型部件与特殊原料和醋的每种类型的生产过程被联系并且资助他们特殊风味。在这研究获得的结果通过 1 基于的 H NMR 加重从不同制造起源允许对醋的一个整体的优秀评价和比较的分析。 | Xiaohua Wang Jie Wang Ghulam Mustafa Kamal Bin Jiang Peng Sun Xu Zhang Maili Liu | 2016 | Chinese Journal of Chemistry2016，34，11： | 1 |
| 5 | Study of electrical transport properties of Eu +3 substituted MnZn-ferrites synthesized by co-precipitation technique显示文摘 | M. Asif Iqbal Misbah-ul-Islam Irshad Ali Hasan M. Khan Ghulam Mustafa Ihsan Ali | 2013 | Ceramics International2013，，2： | 1 |
| 6 | Controller design for a twin rotor helicopter model via exact state feedback linearization显示文摘 | Ghulam Mustafa Naeem Iqbal | 2004 | IEEE INMIC2004，，： | 1 |
| 7 | Statistical and Geometrical Way of Model Selection for a Family of Subdivision Schemes显示文摘The objective of this article is to introduce a generalized algorithm to produce the m-point n-ary approximating subdivision schemes(for any integer m, n ≥ 2). The proposed algorithm has been derived from uniform B-spline blending functions. In particular, we study statistical and geometrical/traditional methods for the model selection and assessment for selecting a subdivision curve from the proposed family of schemes to model noisy and noisy free data. Moreover, we also discuss the deviation of subdivision curves generated by proposed family of schemes from convex polygonal curve. Furthermore, visual performances of the schemes have been presented to compare numerically the Gibbs oscillations with the existing family of schemes. | Ghulam MUSTAFA | 2017 | Chinese Annals of Mathematics,Series B2017，38，5： | 1 |
| 8 | ESTIMATING ERROR BOUNDS FOR TERNARY SUBDIVISION CURVES/SURFACES显示文摘我们以取决于分面具的起始的控制点序列和常数的最大的差别在 k 褶层分以后估计在第三的分弄弯 / 出现和他们的控制多角形之间的错误界限。界限独立于分的过程并且没有递归的分,能被评估。我们的技术因此独立于 parametrization 它能容易并且高效地被实现。这为有用、重要预先计算错误在象表面 / 表面交叉那样的许多设计应用预先分弄弯 / 出现跳,网孔产生,用机器制造的 NC,等等显示的表面。数学题目分类:65D17, 65D07, 65D05。 | Ghulam Mustafa Jiansong Deng | 2007 | Journal of Computational Mathematics2007，25，4： | 1 |
| 9 | H∞ filtering for nonuniformly sampled systems : A Markovian jump systems approach 显示文摘 | Ghulam Mustafa Tongwen Chen | 2011 | System & Control letters2011，60，： | 1 |
| 10 | Seasonal history and biology of cotton mealy bug, Phenacoccus solenopsis Tinsley 显示文摘 | Ghulam Mustafa Aheer Zafarullah Shah Muhammad Saeed | 2009 | J Agric Res2009，47，4： | 1 |
| 11 | Synthesis of new sulfonamides as lipoxygenase inhibitors显示文摘 | Ghulam Mustafa Islam Ullah Khan Muhammad Ashraf Iftikhar Afzal Sohail Anjum Shahzad Muhammad Shafiq | 2012 | Bioorganic & Medicinal Chemistry2012，，8： | 1 |
| 12 | A Novel Auto-Annotation Technique for Aspect Level Sentiment Analysis显示文摘In machine learning,sentiment analysis is a technique to find and analyze the sentiments hidden in the text.For sentiment analysis,annotated data is a basic requirement.Generally,this data is manually annotated.Manual annotation is time consuming,costly and laborious process.To overcome these resource constraints this research has proposed a fully automated annotation technique for aspect level sentiment analysis.Dataset is created from the reviews of ten most popular songs on YouTube.Reviews of five aspects—voice,video,music,lyrics and song,are extracted.An N-Gram based technique is proposed.Complete dataset consists of 369436 reviews that took 173.53 s to annotate using the proposed technique while this dataset might have taken approximately 2.07 million seconds(575 h)if it was annotated manually.For the validation of the proposed technique,a sub-dataset—Voice,is annotated manually as well as with the proposed technique.Cohen’s Kappa statistics is used to evaluate the degree of agreement between the two annotations.The high Kappa value(i.e.,0.9571%)shows the high level of agreement between the two.This validates that the quality of annotation of the proposed technique is as good as manual annotation even with far less computational cost.This research also contributes in consolidating the guidelines for the manual annotation process. | Muhammad Aasim Qureshi Muhammad Asif Mohd Fadzil Hassan Ghulam Mustafa Muhammad Khurram Ehsan Aasim Ali Unaza Sajid | 2022 | Computers, Materials & Continua2022，，3： | 0 |
| 13 | Rheological and Spectroscopic Characterization of Recycled Blend Containing Commonly Used Plastics of Daily Life显示文摘 | Umer Mehmood Ghulam Mustafa Mamoor Wahab Shahid Amir Mushtaq Umer Amjad Muhammad Bilal | 2012 | 材料科学与工程(中英文A版)2012，2，7： | 0 |
| 14 | Effects of Convolvulus arvensis Water Extract on Germination of Okra Under Different Seed Sizes显示文摘Convolvulus arvensis is a toxic allelopathic weed that suppresses germination and growth of crops.The prime object of present study was to investigate effect of Convolvulus arvensis water extract on germination and performance of okra with different seed sizes.The seeds of okra variety pusa green were separated into three different sizes,viz large size(4.00-5.00 mm),medium size(3.00-3.50 mm)and small size(2.00-3.50 mm),and then soaked in allelopathic plant bindweed water extract and kept in patrisdishes for germination into the germinator at 15℃.The experiment was laid out using Complete Randomized Design(CRD)with three replications.The results showed that after sowing of 12 days the highest germination was observed in non-treated seeds as compared to seeds treated in Convolvulus arvensis water extract for 1 h,further non-treated large seeds produced maximum plants as compared to treated small seeds after sowing of 24 days.Meanwhile,root length,shoot length,root fresh and dry weight,shoot fresh and dry weight were recorded higher in non-treated large seeds as compared to small seeds soaked for 1 h in Convolvulus arvensis allelopthic water extract.It could be found that Convolvulus arvensis affected germination,seed growth and overall performance of okra,further presence Convolvulus arvensis in crops could cause negative impact on germination and integrity of okra crops. | Abid Hussain Khoso Ghulam Mustafa Laghari Aziz Ahmed Laghari Ali Muhammad Bozdar Asif Ali Kaleri Nasir Ali | 2017 | Journal of Northeast Agricultural University(English Edition)2017，24，1： | 0 |
| 15 | Optimization of Neutrino Oscillation Parameters Using Differential Evolution显示文摘We show how the traditional grid based method for finding neutrino oscillation parameters m2 and tan 2θ can be combined with an optimization technique,Differential Evolution(DE),to get a significant decrease in computer processing time required to obtain minimal chi-square(χ2) in four different regions of the parameter space.We demonstrate efficiency for the two-neutrinos case.For this,the χ2 function for neutrino oscillations is evaluated for grids with different density of points in standard allowed regions of the parameter space of m2 and tan 2θ using experimental and theoretical total event rates of chlorine(Homestake),Gallex+GNO,SAGE,Superkamiokande,and SNO detectors.We find that using DE in combination with the grid based method with small density of points can produce the results comparable with the one obtained using high density grid,in much lesser computation time. | Ghulam Mustafa Faisal Akram Bilal Masud | 2013 | Communications in Theoretical Physics2013，59，3： | 0 |
| 16 | Pattern of bony injuries among civilian gunshot victims at tertiary care hospital in Karachi, Pakistan显示文摘 | Ghulam Mustafa Kaim Khani Syed Mujahid Humail Kamran Hafeez Naveed Ahmed | 2015 | Chinese Journal of Traumatology2015，18，3： | 0 |
| 17 | An Automated and Real-time Approach of Depression Detection from Facial Micro-expressions显示文摘Depression is a mental psychological disorder that may cause a physical disorder or lead to death.It is highly impactful on the socialeconomical life of a person;therefore,its effective and timely detection is needful.Despite speech and gait,facial expressions have valuable clues to depression.This study proposes a depression detection system based on facial expression analysis.Facial features have been used for depression detection using Support Vector Machine(SVM)and Convolutional Neural Network(CNN).We extracted micro-expressions using Facial Action Coding System(FACS)as Action Units(AUs)correlated with the sad,disgust,and contempt features for depression detection.A CNN-based model is also proposed in this study to auto classify depressed subjects from images or videos in real-time.Experiments have been performed on the dataset obtained from Bahawal Victoria Hospital,Bahawalpur,Pakistan,as per the patient health questionnaire depression scale(PHQ-8);for inferring the mental condition of a patient.The experiments revealed 99.9%validation accuracy on the proposed CNN model,while extracted features obtained 100%accuracy on SVM.Moreover,the results proved the superiority of the reported approach over state-of-the-art methods. | Ghulam Gilanie Mahmood ul Hassan Mutyyba Asghar Ali Mustafa Qamar Hafeez Ullah Rehan Ullah Khan Nida Aslam Irfan Ullah Khan | 2022 | Computers, Materials & Continua2022，，11： | 0 |
| 18 | Understanding the Language of ISIS:An Empirical Approach to Detect Radical Content on Twitter Using Machine Learning显示文摘The internet,particularly online social networking platforms have revolutionized the way extremist groups are influencing and radicalizing individuals.Recent research reveals that the process initiates by exposing vast audiences to extremist content and then migrating potential victims to confined platforms for intensive radicalization.Consequently,social networks have evolved as a persuasive tool for extremism aiding as recruitment platform and psychological warfare.Thus,recognizing potential radical text or material is vital to restrict the circulation of the extremist chronicle.The aim of this research work is to identify radical text in social media.Our contributions are as follows:(i)A new dataset to be employed in radicalization detection;(ii)In depth analysis of new and previous datasets so that the variation in extremist group narrative could be identified;(iii)An approach to train classifier employing religious features along with radical features to detect radicalization;(iv)Observing the use of violent and bad words in radical,neutral and random groups by employing violent,terrorism and bad words dictionaries.Our research results clearly indicate that incorporating religious text in model training improves the accuracy,precision,recall,and F1-score of the classifiers.Secondly a variation in extremist narrative has been observed implying that usage of new dataset can have substantial effect on classifier performance.In addition to this,violence and bad words are creating a differentiating factor between radical and random users but for neutral(anti-ISIS)group it needs further investigation. | Zia Ul Rehman Sagheer Abbas Muhammad Adnan Khan Ghulam Mustafa Hira Fayyaz Muhammad Hanif Muhammad Anwar Saeed | 2021 | Computers, Materials & Continua2021，，2： | 0 |
| 19 | Hybridization of CNN with LBP for Classification of Melanoma Images显示文摘Skin cancer(melanoma)is one of the most aggressive of the cancers and the prevalence has significantly increased due to increased exposure to ultraviolet radiation.Therefore,timely detection and management of the lesion is a critical consideration in order to improve lifestyle and reduce mortality.To this end,we have designed,implemented and analyzed a hybrid approach entailing convolutional neural networks(CNN)and local binary patterns(LBP).The experiments have been performed on publicly accessible datasets ISIC 2017,2018 and 2019(HAM10000)with data augmentation for in-distribution generalization.As a novel contribution,the CNN architecture is enhanced with an intelligible layer,LBP,that extracts the pertinent visual patterns.Classification of Basal Cell Carcinoma,Actinic Keratosis,Melanoma and Squamous Cell Carcinoma has been evaluated on 8035 and 3494 cases for training and testing,respectively.Experimental outcomes with cross-validation depict a plausible performance with an average accuracy of 97.29%,sensitivity of 95.63%and specificity of 97.90%.Hence,the proposed approach can be used in research and clinical settings to provide second opinions,closely approximating experts’intuition. | Saeed Iqbal Adnan N.Qureshi Ghulam Mustafa | 2022 | Computers, Materials & Continua2022，，6： | 0 |
| 20 | A UNIFIED THREE POINT APPROXIMATING SUBDIVISION SCHEME显示文摘In this paper,we propose a three point approximating subdivision scheme,with three shape parameters,that unifies three different existing three point approximating schemes.Some sufficient conditions for subdivision curve C0 to C3 continuity and convergence of the scheme for generating tensor product surfaces for certain ranges of parameters by using Laurent polynomial method are discussed.The systems of curve and surface design based on our scheme have been developed successfully in garment CAD especially for clothes modelling. | Ghulam Mustafa Faheem Khan Muhammad Sadia Hashmi Muhammad Zeshan Afzal | 2011 | Analysis in Theory and Applications2011，27，1： | 0 |
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