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| 1 | 煤炭腐植酸作为土壤改良剂对土壤物理性质和小麦产量的影响显示文摘在巴基斯坦旁遮普的波特瓦地区(33°N,74°E),集约化土壤耕作,土壤侵蚀和低量作物残体的投入是导致土壤结构退化的原因。结构不稳定的土壤很容易受到侵蚀,反过来,土壤侵蚀又会造成作物产量的下降。因此,为了改善土壤的物理性状,在巴基斯坦旁遮普的干旱地区进行了田间试验。试验地点位于大学(拉瓦尔品第PMAS干旱农业大学)研究农场的园区内。2种不同等级(实验室级和商品级)的腐植酸(HA)各分8个水平,施用2年,处理分别为HL_0(对照,不施腐植酸),HL_1 10 kg HA/hm^2,HL_2 20 kg HA/hm^2,HL_3 30 kg HA/hm^2,HL_4 60 kg HA/hm^2,HL_5 90 kg HA/hm^2,HL_6 120 kg HA/hm^2和HL_7 150 kg HA/hm^2,各处理同时配合施用N-P-K(120-90-60 kg/hm^2)。试验期间,检测土壤总有机碳、饱和导水率、团聚体稳定性、容重、土壤含水量和作物产量。试验结果表明,腐植酸能通过影响土壤总有机碳、饱和导水率、团聚体稳定性、容重和土壤含水量等指标来改善土壤的物理性状。2年试验结果均表现为,实验室级的腐植酸比商品级的腐植酸能更好地改善土壤物理性状,从而提高小麦产量。2种不同级别的腐植酸各施用水平与对照相比,差异均显著。在120 kg/hm^2和150 kg/hm^2的腐植酸施用水平下,大多数指标均显示出了相似的结果,因此,从经济角度考虑,120 k g/hm^2的腐植酸用量为最佳施用量。 | Ijaz Ahmad Safdar Ali Khalid Saifullah Khan Fayyazul Hassan Kashif Bashir 何一通 孙志梅 | 2016 | 腐植酸2016，，3： | 10 |
| 2 | 毛棉苗期抗旱性状的QTL定位显示文摘【目的】通过分析毛棉苗期抗旱相关性状的数量性状位点(Quantitative trait locus,QTL),以期检测稳定的主效QTL,促进栽培品种抗旱性状遗传改良及提高抗旱育种效率。【方法】以四倍体野生种毛棉(Gossypium tomentosum)和陆地棉品种中棉所12(CCRI 12)的种间杂种F2及其F2:3家系为研究材料,用于基因型分型的F2有188个系,用于表型分型的F2:3家系有149个株系。分别在干旱胁迫和正常灌水2个环境下调查表型数据。采用复合区间作图法对F2:3家系苗期相关性状抗旱系数进行QTL定位。【结果】对苗期相关性状抗旱系数的QTL定位分析,共得到16个QTL,其中与株高、叶片数、叶绿素含量、脯氨酸含量、丙二醛含量抗旱系数相关的QTL分别有5个、1个、3个、3个、4个,分布在13条染色体上。来自毛棉的5个加性QTL分别为qSHDC-19-1、qSHDC-19-2、qSLNDC-5-1、qMDADC-24-1、qMDADC-24-2,其加性效应值为0.10~0.22,解释变异9.4%~25.8%。【结论】这些与抗旱相关的QTL有助于棉花抗旱分子标记辅助选择。 | 郑巨云 George Oluoch Khan Muhammad Kashif Riaz 周忠丽 王星星 蔡小彦 李雪源 王春英 王玉红 刘方 王坤波 | 2017 | 棉花学报2017，29，1： | 6 |
| 3 | Rice molecular markers and genetic mapping:Current status and prospects显示文摘Dramatic changes in climatic conditions that supplement the biotic and abiotic stresses pose severe threat to the sustainable rice production and have made it a difficult task for rice molecular breeders to enhance production and productivity under these stress factors. The main focus of rice molecular breeders is to understand the fundamentals of molecular pathways involved in complex agronomic traits to increase the yield. The availability of complete rice genome sequence and recent improvements in rice genomics research has made it possible to detect and map accurately a large number of genes by using linkage to DNA markers. Linkage mapping is an effective approach to identify the genetic markers which are co-segregating with target traits within the family. The ideas of genetic diversity, quantitative trait locus(QTL) mapping, and marker-assisted selection(MAS) are evolving into more efficient concepts of linkage disequilibrium(LD) also called association mapping and genomic selection(GS), respectively. The use of cost-effective DNA markers derived from the fine mapped position of the genes for important agronomic traits will provide opportunities for breeders to develop high-yielding, stress-resistant, and better quality rice cultivars. Here we focus on the progress of molecular marker technologies, their application in genetic mapping and evolution of association mapping techniques in rice. | Ghulam Shabir Kashif Aslam Abdul Rehman Khan Muhammad Shahid Hamid Manzoor Sibgha Noreen Mueen Alam Khan Muhammad Baber Muhammad Sabar Shahid Masood Shah Muhammad Arif | 2017 | Journal of Integrative Agriculture2017，16，9： | 2 |
| 4 | Current understanding of ultra-high cycle fatigue显示文摘<正>The fatigue life of numerous aerospace,locomotive,automotive and biomedical structures may go beyond 10~8 cycles.Determination of long life fatigue behavior becomes extremely important for better understanding and design of the components and structures.Initially,before the invention of ultrasonic fatigue testing,most of the engineering materials were supposed to exhibit fatigue life up to 10~7 cycles or less.This paper reviews current understanding of some fundamental aspects on the development of accelerated fatigue testing method and its application in ultra-high cycle fatigue,crack initiation and growth mechanisms of internal fracture,S-N diagram,fatigue limit and life prediction, etc. | Qingyuan Wang Muhammad Kashif Khan Claude Bathias | 2012 | Theoretical & Applied Mechanics Letters2012，2，3： | 2 |
| 5 | Early selection of bread wheat genotypes using morphological and photosynthetic attributes conferring drought tolerance显示文摘Genetic diversity is the base of any genetic improvement breeding program aimed at stress breeding.The variability among breeding materials is of primary importance in the achievements of a good crop production.Herein,105 wheat genotypes were screened against drought stress using factorial completely randomized design at seedling stage to determine the genetic diversity and traits association conferring drought tolerance.Analysis of variances revealed that all the studied parameters differed significantly among all genotypes,indicating the significance genetic variability existed among all genotypes for studied indices.The 10 best performance genotypes G1,G6,G11,G16,G21,G26,G39,G44,G51,and G61 were screened as drought tolerant,while five lowest performance genotypes G3,G77,G91,G98,and G105 were screened as drought susceptible.Root length,chlorophyll a,chlorophyll b,and carotenoid contents were significantly correlated among themselves which exhibited the importance of these indices for rainfed areas in future wheat breeding scheme.Shoot length exhibited non-significant and negative association with other studied traits,and its selection seems not to be a promising criteria for this germplasm for drought stress.Best performance genotypes under drought stress conditions will be useful in future wheat breeding program and early selection will be effective for developing high yielding and drought tolerant wheat varieties. | Hafiz Ghulam Muhu-Din Ahmed Abdus Salam khan LI Ming-ju Sultan Habibullah Khan Muhammad Kashif | 2019 | Journal of Integrative Agriculture2019，18，11： | 2 |
| 6 | Protective Effect of Solanum nigrum Leaves Extract on Immobilization Stress Induced Changes in Rat’s Brain显示文摘 | Syed Kashif Zaidi Md. Nasrul Hoda Shams Tabrez Shakeel Ahmed Ansari Mohammad Alam Jafri Mohd Shahnawaz Khan Shirin Hasan Mohammed H. Alqahtani Adel Mohammed Abuzenadah Naheed Banu Andrew Newberg | 2014 | Evidence-Based Complementary and Alternative Medicine2014，，： | 1 |
| 7 | A Review and Analysis of Localization Techniques in Underwater Wireless Sensor Networks显示文摘In recent years,there has been a rapid growth in Underwater Wireless Sensor Networks(UWSNs).The focus of research in this area is now on solving the problems associated with large-scale UWSN.One of the major issues in such a network is the localization of underwater nodes.Localization is required for tracking objects and detecting the target.It is also considered tagging of data where sensed contents are not found of any use without localization.This is useless for application until the position of sensed content is confirmed.This article’s major goal is to review and analyze underwater node localization to solve the localization issues in UWSN.The present paper describes various existing localization schemes and broadly categorizes these schemes as Centralized and Distributed localization schemes underwater.Also,a detailed subdivision of these localization schemes is given.Further,these localization schemes are compared from different perspectives.The detailed analysis of these schemes in terms of certain performance metrics has been discussed in this paper.At the end,the paper addresses several future directions for potential research in improving localization problems of UWSN. | Seema Rani Anju Anupma Sangwan Krishna Kumar Kashif Nisar Tariq Rahim Soomro Ag.Asri Ag.Ibrahim Manoj Gupta Laxmi Chandand Sadiq Ali Khan | 2023 | Computers, Materials & Continua2023，，6： | 1 |
| 8 | Factors effecting recurrence and progression of high grade non invasive bladder cancer treated by intravesical BCG显示文摘 | KASHIF KHAN M AHMED I RAZA S J | 2014 | Pak J Med Sci2014，30，2： | 1 |
| 9 | Current Concepts Review Fractures of the Clavicle显示文摘 | LA Kashif Khan J Bradnock Caroline Scott | 2009 | J Bone Joint Surg Am2009，，91： | 1 |
| 10 | Dietary vitamin E in White Leghorn layer breeder hens: a strategy to combat aflatoxin B1-induced damage显示文摘 | Wajid Arshad Khan Muhammad Zargham Khan Ahrar Khan Zahoor Ul Hassan Shahid Rafique Muhammad Kashif Saleemi Abdul Ahad | 2014 | Avian Pathology2014，，5： | 1 |
| 11 | A general method for copper - catalyzed arylation of arene C--H bonds 显示文摘 | DO H Q KASHIF KHAN R M DAUGULIS O | 2008 | J Am Chem Soc2008，130，15： | 1 |
| 12 | Integrated CWT-CNN for Epilepsy Detection Using Multiclass EEG Dataset显示文摘Electroencephalography is a common clinical procedure to record brain signals generated by human activity.EEGs are useful in Brain controlled interfaces and other intelligent Neuroscience applications,but manual analysis of these brainwaves is complicated and time-consuming even for the experts of neuroscience.Various EEG analysis and classification techniques have been proposed to address this problem however,the conventional classification methods require identification and learning of specific EEG characteristics beforehand.Deep learning models can learn features from data without having in depth knowledge of data and prior feature identification.One of the great implementations of deep learning is Convolutional Neural Network(CNN)which has outperformed traditional neural networks in pattern recognition and image classification.Continuous Wavelet Transform(CWT)is an efficient signal analysis technique that presents the magnitude of EEG signals as timerelated Frequency components.Existing deep learning architectures suffer from poor performance when classifying EEG signals in the Time-frequency domain.To improve classification accuracy,we propose an integrated CWT and CNN technique which classifies five types of EEG signals using.We compared the results of proposed integrated CWT and CNN method with existing deep learning models e.g.,GoogleNet,VGG16,AlexNet.Furthermore,the accuracy and loss of the proposed integrated CWT and CNN method have been cross validated using Kfold cross validation.The average accuracy and loss of Kfold cross-validation for proposed integrated CWT and CNN method are,76.12%and 56.02%respectively.This model produces results on a publicly available dataset:Epilepsy dataset by UCI(Machine Learning Repository). | Sidra Naseem Kashif Javed Muhammad Jawad Khan Saddaf Rubab Muhammad Attique Khan Yunyoung Nam | 2021 | Computers, Materials & Continua2021，，10： | 1 |
| 13 | Micromechanical Modeling of Elastic-Viscoplastic Behavior of Armco-Fe at High Strain Rate显示文摘Heterogeneous dynamical stress-strain response of Armco-Fe was investigated at high strain rates through the Split Hopkinson Pressure Bar(SHPB) testing. It was found that the viscoplastic deformation in BCC ferrite grains is affected by the strain rate. Thermal softening and variation in crystal orientations under high-strain-rate loading were used in the elastic-viscoplastic modeling. The micromechanical analysis with self-consistent transition and homogenization was used for estimation of the global impact response of the material. The results from modeling were found in good agreement with the experimental data. | Zhiyong Huang Haomin Wang Qingyuan Wang Muhammad Kashif Khan | 2016 | Acta Mechanica Solida Sinica2016，29，6： | 1 |
| 14 | ModelingLink between Internal Service Quality in Human Resources Man-agement and Employees Retention : A Case of Pakistani Privatizedand Public Sector Banks 显示文摘 | Khan M A Kashif - Ur - Rehman Ijaz - Ur - Rehman | 2011 | African Journal of Business Manage-ment2011，5，3： | 1 |
| 15 | New Modified Controlled Bat Algorithm for Numerical Optimization Problem显示文摘Bat algorithm(BA)is an eminent meta-heuristic algorithm that has been widely used to solve diverse kinds of optimization problems.BA leverages the echolocation feature of bats produced by imitating the bats’searching behavior.BA faces premature convergence due to its local search capability.Instead of using the standard uniform walk,the Torus walk is viewed as a promising alternative to improve the local search capability.In this work,we proposed an improved variation of BA by applying torus walk to improve diversity and convergence.The proposed.Modern Computerized Bat Algorithm(MCBA)approach has been examined for fifteen well-known benchmark test problems.The finding of our technique shows promising performance as compared to the standard PSO and standard BA.The proposed MCBA,BPA,Standard PSO,and Standard BA have been examined for well-known benchmark test problems and training of the artificial neural network(ANN).We have performed experiments using eight benchmark datasets applied from the worldwide famous machine-learning(ML)repository of UCI.Simulation results have shown that the training of an ANN with MCBA-NN algorithm tops the list considering exactness,with more superiority compared to the traditional methodologies.The MCBA-NN algorithm may be used effectively for data classification and statistical problems in the future. | Waqas Haider Bangyal Abdul Hameed Jamil Ahmad Kashif Nisar Muhammad Reazul Haque Ag.Asri Ag.Ibrahim Joel J.P.C.Rodrigues M.Adil Khan Danda B.Rawat Richard Etengu | 2022 | Computers, Materials & Continua2022，，2： | 1 |
| 16 | Fractures of the ClavMe 显示文摘 | Kashif Khan LA Bradnock TJ Caroline S | 2009 | Bone Joint Surg Am2009，91，16： | 1 |
| 17 | Autonomous Parking-Lots Detection with Multi-Sensor Data Fusion Using Machine Deep Learning Techniques显示文摘The rapid development and progress in deep machine-learning techniques have become a key factor in solving the future challenges of humanity.Vision-based target detection and object classification have been improved due to the development of deep learning algorithms.Data fusion in autonomous driving is a fact and a prerequisite task of data preprocessing from multi-sensors that provide a precise,well-engineered,and complete detection of objects,scene or events.The target of the current study is to develop an in-vehicle information system to prevent or at least mitigate traffic issues related to parking detection and traffic congestion detection.In this study we examined to solve these problems described by(1)extracting region-of-interest in the images(2)vehicle detection based on instance segmentation,and(3)building deep learning model based on the key features obtained from input parking images.We build a deep machine learning algorithm that enables collecting real video-camera feeds from vision sensors and predicting free parking spaces.Image augmentation techniques were performed using edge detection,cropping,refined by rotating,thresholding,resizing,or color augment to predict the region of bounding boxes.A deep convolutional neural network F-MTCNN model is proposed that simultaneously capable for compiling,training,validating and testing on parking video frames through video-camera.The results of proposed model employing on publicly available PK-Lot parking dataset and the optimized model achieved a relatively higher accuracy 97.6%than previous reported methodologies.Moreover,this article presents mathematical and simulation results using state-of-the-art deep learning technologies for smart parking space detection.The results are verified using Python,TensorFlow,OpenCV computer simulation frameworks. | Kashif Iqbal Sagheer Abbas Muhammad Adnan Khan Atifa Ather Muhammad Saleem Khan Areej Fatima Gulzar Ahmad | 2021 | Computers, Materials & Continua2021，，2： | 1 |
| 18 | First report on molecular characterization of Leishmania species from cutaneous leishmaniasis patients in southern Khyber Pakhtunkhwa province of Pakistan显示文摘Objective: To report presence of Leishmania major in Khyber Pakhtunkhwa of Pakistan, where cutaneous leishmaniasis(CL) is endemic and was thought to be caused by Leishmania tropica only. Methods: Biopsy samples from 432 CL suspected patients were collected from 3 southern districts of Khyber Pakhtunkhwa during years 2011–2016. Microscopy on Giemsa stained slides were done followed by amplification of the ribosomal internal transcribed spacer 1 gene. Results: Leishmania amastigotes were detected by microscopy in 308 of 432 samples(71.3%) while 374 out of 432 samples(86.6%) were positive by ribosomal internal transcribed spacer 1 PCR. Subsequent restriction fragment length polymorphism confirmed Leishmania tropica in 351 and Leishmania major in 6 biopsy samples. Conclusions: This study is the first molecular characterization of Leishmania species in southern Khyber Pakhtunkhwa. It confirmed the previous assumptions that anthroponotic CL is the major CL form present in Khyber Pakhtunkhwa province. Furthermore, this is the first report of Leishmania major from a classical anthroponotic CL endemic focus identified in rural areas of Kohat district in southern Khyber Pakhtunkhwa. | Mubbashir Hussain Shahzad Munir Sultan Ayaz Bahar Ullah Khattak Taj Ali Khan Niaz Muhammad Muhammad Anees Hazir Rahman Muhammad Qasim Muhammad Ameen Jamal Irfan Ahmed Kashif Rahim Humaira Mazhar Noha Watanay Mohamed Kasbari | 2017 | Asian Pacific Journal of Tropical Medicine2017，10，7： | 1 |
| 19 | 3D Head Pose Estimation through Facial Features and Deep Convolutional Neural Networks显示文摘Face image analysis is one among several important cues in computer vision.Over the last five decades,methods for face analysis have received immense attention due to large scale applications in various face analysis tasks.Face parsing strongly benefits various human face image analysis tasks inducing face pose estimation.In this paper we propose a 3D head pose estimation framework developed through a prior end to end deep face parsing model.We have developed an end to end face parts segmentation framework through deep convolutional neural networks(DCNNs).For training a deep face parts parsing model,we label face images for seven different classes,including eyes,brows,nose,hair,mouth,skin,and back.We extract features from gray scale images by using DCNNs.We train a classifier using the extracted features.We use the probabilistic classification method to produce gray scale images in the form of probability maps for each dense semantic class.We use a next stage of DCNNs and extract features from grayscale images created as probability maps during the segmentation phase.We assess the performance of our newly proposed model on four standard head pose datasets,including Pointing’04,Annotated Facial Landmarks in the Wild(AFLW),Boston University(BU),and ICT-3DHP,obtaining superior results as compared to previous results. | Khalil Khan Jehad Ali Kashif Ahmad Asma Gul Ghulam Sarwar Sahib Khan Qui Thanh Hoai Ta Tae-Sun Chung Muhammad Attique | 2021 | Computers, Materials & Continua2021，，2： | 1 |
| 20 | Macrophage signaling in HIV-1 infection 显示文摘 | Georges Herbein Gabriel Gras Kashif Aziz Khan | 2010 | Retrovirology2010，7，： | 1 |
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