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| 1 | Thymoma: current diagnosis and treatment显示文摘 | Frank C. Detterbeck Ahmad Zeeshan | 2013 | Chinese Medical Journal2013，，11： | 39 |
| 2 | Farmers' Perception and Awareness and Factors Affecting Awareness of Farmers Regarding Crop Insurance as a Risk Coping Mechanism Evidence from Pakistan显示文摘This study has been conducted in three districts of Punjab Province namely, Dera Ghazi Khan, Rajan Pur and Bahawalpur of Pakistan. The study showed the results of a survey of 300 farmers which was organized to assess awareness level of farmers regarding crop insurance, factors affecting the awareness level among farmers and the perception of farmers about crop insurance. Based on exploratory research work upon the responses of farmers, the average and standard deviation were calculated. Probit model was applied to explore the factors affecting the awareness level of farmers. SPSS was used for the analysis of the collected data. The results revealed that out of 300 farmers, 184 farmers were aware with crop insurance and rests of the 116 farmers were not aware. Banks and E-media were found to be the two most important sources of the awareness for the respondent farmers. In the study area, the climatic risks were reported as the most severe risks faced by the farmers. The results also revealed the existence of negative perceptions of the farmers about crop insurance i.e. farmers perceived crop insurance as a kind of tax and they believed premium was so high that it was out of range of poor farmers and only large scale farmers could afford it. Results obtained by applying Probit model revealed that 'education' and 'previously availed agricultural credit' were the two most important factors which affected the awareness of the farmers regarding crop insurance. | Sidra Ghazanfar Zhang Qi-wen Muhammad Abdullah Zeeshan Ahmad Majid Lateef | 2015 | Journal of Northeast Agricultural University(English Edition)2015，22，1： | 9 |
| 3 | Addition of simvastatin to carvedilol non responders: A new pharmacological therapy for treatment of portal hypertension显示文摘AIM To determine whether addition of simvastatin could be an important pharmacological rescue therapy for carvedilol non-responders. METHODS One hundred and two consecutive patients of cirrhosis of liver with significant portal hypertension were included. Hepatic venous pressure gradient(HVPG) was measured at the base line and after proper optimization of dose; chronic response was assessed at 3 mo. Carvedilol non-responders were given simvastatin 20 mg per day(increased to 40 mg per day at day 15). Carvedilol plus simvastatin was continued for 1 mo and hemodynamic response was again measured at 1 mo.RESULTS A total of 102 patients with mean age of 58.3 ± 6.6 years were included. Mean baseline HVPG was 16.75 ± 2.12 mmH g and after optimization of dose and reassessment of HVPG at 3 mo, mean reduction of HVPG from baseline was 5.5 ± 1.7 mm Hg and 2.8 ± 1.6 mm Hg among responders and non-responders respectively(P < 0.001). Addition of simvastatin to carvedilol non-responders resulted in significant response in 16 patients(42.1%) and thus overall response with carvedilol and carvedilol plus simvastatin was seen in 78 patients(80%). Two patients were removed in chronic protocol study with carvedilol and three patients were removed in carvedilol plus simvastatin study due to side effects.CONCLUSION Addition of simvastatin to carvedilol non-responders may prove to be an excellent rescue therapy in patients with portal hypertension. | Zeeshan Ahmad Wani Sonmoon Mohapatra Afaq Ahmad Khan Ashutosh Mohapatra Ghulam Nabi Yatoo | 2017 | World Journal of Hepatology2017，9，5： | 8 |
| 4 | DOA Estimation Algorithm Based on Adaptive Filtering in Spatial Domain显示文摘In this paper, a novel DOA estimation methodology based upon the technology of adaptive nulling antenna is proposed. Initially, the nulling antenna obtains the weight vector by LMS algorithm and power inversion criterion.Afterwards, reciprocal of the antenna pattern is defined as the spatial spectrum and the extracted peak values are corresponded to the estimated DOA. Through observation of the spectrum and data analysis of variable steps and SNRs, the simulation results demonstrate that the proposed method can estimate DOA above board. Furthermore, the estimation error of the proposed technique is directly proportional to step size and is inversely proportional to SNR. Unlike the existing MUSIC algorithm, the proposed algorithm has less computational complexity as it eliminates the need of estimating the number of signals and the eigenvalue decomposition of covariance matrix. Also it outperforms MUSIC algorithm, the recently proposed MUSIC-Like algorithm and classical methods by achieving better resolution with narrow width of peaks. | Hao Zeng Zeeshan Ahmad Jianwen Zhou Qiushi Wang Ya Wang | 2016 | China Communications2016，13，12： | 7 |
| 5 | Agricultural Production Structure Adjustment Scheme Evaluation and Selection Based on DEA Model for Punjab(Pakistan)显示文摘DEA is a nonparametric method used in operation researches and economics fields for the evaluation of the production frontier. It has distinct intrinsic which is worth coping with assessment problems with multiple inputs in particular with multiple outputs. This paper used Dε C2 R model of DEA to assess the comparative efficiency of the multiple schemes of agricultural industrial structure, at the end we chose the most favorable also known as 'OPTIMAL' scheme. In addition to this, using some functional insights from DEA model non optimal schemes or less optimal schemes had also been improved to some extent. Assessment and selection of optimal schemes of agricultural industrial structure using DEA model gave a greater and better insight of agricultural industrial structure and was the first of such researches in Pakistan. | Zeeshan Ahmad Meng Jun | 2015 | Journal of Northeast Agricultural University(English Edition)2015，22，2： | 3 |
| 6 | High-resolution digital beamforming of UWB signals based on Carathéodory representation for delay compensation and array extrapolation显示文摘To realize high-resolution digital beamforming(DBF)of ultra-wideband(UWB) signals, we propose a DBF method based on Carath ′eodory representation for delay compensation and array extrapolation. Delay compensation by Carath ′eodory representation could achieve high interpolation accuracy while using the single channel sampling technique. Array extrapolation by Carath ′eodory representation reformulates and extends each snapshot, consequently extends the aperture of the original uniform linear array(ULA) by several times and provides a better realtime performance than the existing aperture extrapolation utilizing vector extrapolation based on the two dimensional autoregressive(2-D AR) model. The UWB linear frequency modulated(LFM) signal is used for simulation analysis. Simulation results demonstrate that the proposed method is featured by a much higher spatial resolution than traditional DBF methods and lower sidelobes than using Lagrange fractional filters. | DU Qiang SONG Yaoliang JI Chenhe AHMAD Zeeshan | 2018 | Journal of Systems Engineering and Electronics2018，29，5： | 2 |
| 7 | Privacy - aware searching with oblivious term matching for cloud storage 显示文摘 | Zeeshan Pervez Ammar Ahmad Awan etc | 2013 | The Journal of Supercomputing2013，263，2： | 1 |
| 8 | Null steering antenna beamforming utilizing space-time adaptive processing显示文摘A new architecture of null steering antenna based upon the technology of space-time adaptive processing(STAP) with optimized parameters is proposed. The new STAP antenna is comprised of multiple channels and each channel is a transversal filter. So separate sensor element for the reference signal is not required because the antenna gets the reference signal from the first sensor of the auxiliary array. Furthermore, the least mean square(LMS) algorithm is employed to calculate the weight vector. Detailed analysis about the relationship between noise power and output error is investigated. Compared with the traditional null steering antenna in space or space-time domain, the new approach obtains more freedom degrees and can suppress both the wideband and narrowband interferences more efficiently with deeper nulls. Simulation results shows that the proposed architecture outperforms the conventional STAP techniques for interference suppression. | Zeng Hao Ahmad Zeeshan Dong Tao Liu Ling | 2015 | The Journal of China Universities of Posts and Telecommunications2015，22，4： | 1 |
| 9 | Changes in Germination and Seedling Traits of Sesame under Simulated Drought显示文摘Drought is considered one of the leading abiotic constraints to agricultural crop production globally.Present study was conducted to assess the effects of different drought treatments(viz.Control,10%PEG,and 20%PEG)on seed germination,germination indices,seedling traits,and drought tolerance indices of sesame.Our results showed that maximum reduction in the studied parameters was observed at higher PEG concentration(i.e.,20%PEG).As compared to control,the drought treatments viz.10%and 20%PEG decreased the values for germination indices,such as germination percentage,coefficient of variation of germination time,germination index,and seedling vigor index.Similarly,for seedling traits,the values were decreased for root length,shoot length,root shoot ratio,root fresh weight,shoot fresh weight,root dry weight and shoot dry weight under 10%and 20%PEG treatments significantly in comparison with control.Furthermore,relative to control,the values for drought tolerance indices,such as germination drought tolerance index,root length drought tolerance index,shoot length drought tolerance index,total seedling length drought tolerance index,root fresh weight drought tolerance index,shoot fresh weight drought tolerance index,total fresh weight drought tolerance index,root dry weight drought tolerance index,shoot dry weight drought tolerance index and total dry weight drought tolerance index were also reduced under 10%and 20%PEG treatments,respectively.Our results confirms that drought impact on seed germination and seedling traits could be quantified by using different indices which can further help to design drought adaptation and mitigation strategies.Based on these results it can be concluded that germination indices,seedling traits,and drought tolerance indices have great potential to simulate drought stress impacts on different crop traits thus they should be used in all kinds of stress related studies. | Mukhtar Ahmed Ahmed M.S.Kheir Muhammad Zeeshan Mehmood Shakeel Ahmad Mirza Hasanuzzaman | 2022 | Phyton-International Journal of Experimental Botany2022，91，4： | 1 |
| 10 | The role of graveyards in species conservation and beta diversity:a vegetation appraisal of sacred habitats from Bannu,Pakistan显示文摘Graveyards or sacred groves are often places of natural vegetation protected by spiritual believers because of their sacred beliefs and indigenous culture.A study of graveyards was conducted to determine their role in species conservation,community formation,and associated indicators and species composition using multivariate statistical approaches.It was hypothesized that variations in the age of graveyards would give rise to diverse plant communities under the impact of various edaphic and climatic factors.Quantitative ecological techniques were applied to determine various phytosociological attributes.All the data were put in MS Excel for analysis in PCORD and CANOCO softwares for cluster analysis(CA),two-way cluster analysis(TWCA),indicator species analysis and canonical correspondence analysis.CA and TWCA through Sorenson distance measurements identified five major graveyard plant communities:(1)FicusBougainvillea-Chenopodium;(2)Acacia-Datura-Convolvulus;(3)Ziziphus-Vitex-Abutilon;(4)Acacia-Lantana-Salsola;and(5)Melia-Rhazya-Peganum.Species such as Capparis decidua,Herniaria hirsuta,Salvadora oliedes and Populus euphratica were only present inside graveyards rather than outside and advocate the role of graveyards in species conservation.The impact of different environmental and climatic variables plus the age of the graveyards were also assessed for comparison of plant communities and their respective indicator species.The results indicate that higher chlorine concentration,age of graveyards,low soil electrical conductivity,lower anthropogenic activities,higher nitrogen,calcium and magnesium concentrations in the soil,and sandy soils were the strong environmental variables playing a significant role in the formation of graveyard plant communities,their associated indicators and species distribution patterns.These results could further be utilized to evaluate the role of edaphic and climatic factors,indicator species and conservation management practices at a greater scale. | Saqib Kamran Shujaul Mulk Khan Zeeshan Ahmad Amjad Ur Rahman Majid Iqbal Fazal Manan Zahoor Ul Haq Saif Ullah | 2020 | Journal of Forestry Research2020，31，4： | 1 |
| 11 | Floristic composition and ecological gradient analyses of the Liakot Forests in the Kalam region of District Swat,Pakistan显示文摘Kalam Kohistan is a dry,temperate hilly region in the Hindu Raj Series of the Greater Hindu Kush Mountains with diverse forests.As plant distribution and composition is expression of a range of various environmental variables,ecological and floristic attributes of vegetation in the Laikot Forests were therefore evaluated via consecutive explorative trips.These forests have not been evaluated ecologically before due to harsh climatic conditions and issues of accessibility and the study in hand is one of the first in its nature.Quantitative ecological techniques were used to sample forest vegetation and identify species in quadrats of 2 m×2 m for herbs,5 m×5 m for shrubs and 10 m×10 m for trees.All the data of 195 plant species and environmental factors were analyzed via Two-way Cluster Analysis and Canonical Correspondence Analysis using PCORD and CANOCO software.Among 195 plant species from 63 families were 27 species of Asteraceae,the most-speciose family,followed by Poaceae(20 spp.).The dominant life form was therophyte(86 spp.;44%share),followed by phanerophyte(41 spp.;21%share).For the leaf size spectrum,most prevalent was nanophyll(73 spp.;44%)followed by microphyll(66 spp.,34%)and mesophyll(44 spp.;23%).Calcium carbonate,pH,potassium,sand,silt,organic matter,slope aspect and grazing significantly influenced species composition,distribution and habitat.The floristic variation in the region was diverse due to elevational and aspect gradients and thus devided into three zones.This vegetation zonation can be utilized for forest management,species and habitat conservation.Both in situ and ex situ conservation of threatened plant species may improve their conservation status in future if address properly. | Sohail Anwar Shujaul Mulk Khan Zeeshan Ahmad Zahid Ullah Majid Iqbal | 2019 | Journal of Forestry Research2019，30，4： | 1 |
| 12 | How Do Microbubbles and Ultrasound Interact? Basic Physical, Dynamic and Engineering Principles显示文摘 | Mehrdad Azmin Caroline Harfield Zeeshan Ahmad Mohan Edirisinghe Eleanor Stride | 2012 | Current Pharmaceutical Design2012，，15： | 1 |
| 13 | Factors Hindering Pakistani Farmers' Choices Towards Adoption of Crop Insurance显示文摘This study was conducted to analyze the factors that negatively influence Pakistani farmers' willingness to participate in crop insurance. Probit model was applied to identify the significant factors which influenced our dependent variable 'not willing to participate'. The results of the analyses showed that crop insurance premium was the most influencing factor which had positive and significant impact on dependent variable. Similarly dissatisfaction with crop loan insurance scheme, lacking of knowledge about crop insurance, believing of being against Islamic rules and time taking process was also found to be positive and significantly influenced the dependent variable. While limited decision power and limited perils were not found to be significant in the results. | Sidra Ghazanfar Zhang Qi-wen Muhammad Abdullah Jaleel Ahmed Imran Khan Zeeshan Ahmad | 2015 | Journal of Northeast Agricultural University(English Edition)2015，22，2： | 1 |
| 14 | Optimal Scheme Selection of Agricultural Production Structure Adjustment——Based on DEA Model; Punjab(Pakistan)显示文摘This paper used the modern evaluation method of DEA(Data Envelopment Analysis) to assess the comparative efficiency and then on the basis of this among multiple schemes chose the optimal scheme of agricultural production structure adjustment. Based on the results of DEA model, we dissected scale advantages of each discretionary scheme or plan. We examined scale advantages of each discretionary scheme, tested profoundly a definitive purpose behind not-DEA efficient, which elucidated the system and methodology to enhance these discretionary plans. At the end, another method had been proposed to rank and select the optimal scheme. The research was important to guide the practice if the modification of agricultural production industrial structure was carried on. | Zeeshan Ahmad Meng Jun Muhammad Abdullah Mazhar Nadeem Ishaq Majid Lateef Imran Khan | 2015 | Journal of Northeast Agricultural University(English Edition)2015，22，4： | 1 |
| 15 | Molecular mechanism of different viruses associated with autoimmunity显示文摘Different kinds of human chronic diseases may develop the mechanism of autoimmune diseases.As a group of disorders,in the Western world autoimmunity possess as the third most prevalent morbidity and mortality.However,the mechanism of most autoimmune diseases is still under investigation.Viral infection is the principal factor involved in the induction of autoimmune diseases other than genetic factors and cytokine activity.Different mechanisms have been proposed by which viral infection might interrupt tolerance to self and induce autoimmune cascade which eventually leads to the destruction of a specific type of cell or a whole-body organ.The autoimmune attack can be understood through the different immune systems and other possible mechanisms such as molecular mimicry,bystander activation and epitope spreading.In addition to genetic and viral factors,other environmental factors are also involved including bacterial,parasitic and fungal infections.However,different animal models have been studied which provide strong evidence that viruses induced AIDs as well as accelerated and increased lesions in conditions where self-tolerance is interrupted.In the current review,we discussed the virus-induced autoimmunity and the molecular mechanism which is associated with this phenomenon.Here we also discussed the different viruses such as rubella virus,enteroviruses,measles virus,human T-lymphotropic virus type1,human cytomegalovirus,human herpes virus-6,Epstein-Barr virus,rotavirus and some other viruses which modulate the development of AIDs. | Arslan Habib Zeeshan Ashraf Irfan Ullah Khan Amjad Ali Dominic Kwesi Quainoo Sajjad Ahmad Qamar Umutumwa Eric Principe Dur E Maknoon Razia | 2022 | Life Research2022，5，1： | 0 |
| 16 | Epidemiology and Antibiotic Susceptibility Profile of Methicillin Sensitive Staphylococcus aureus among Livestock and Pet Animals显示文摘Staphylococcus aureus is an important zoonotic pathogen that is responsible for a variety of infectious diseases in humans and animals.The present study was designed to check the prevalence and antimicrobial resistance of MSSA from three different animal origins(bovine,caprine and pet).A total of n=450 samples(150 each source)were collected from bovine,caprine and pets.Collected samples were subjected to S.aureus identification by microbiological examination and confirmed S.aureus isolates were put to oxacillin disk diffusion test to declare them MSSA.The MSSA confirmed isolates were subjected to various antibiotics for susceptibility profiling using Kirby Bauer Disk Diffusion test.The present study found higher prevalence of MSSA from caprine origin(goat 83.33%)as compared to pet(cat 69.33%;dog 65.33%)and bovine origin(buffalo 26.66%;cattle 31.66%).The in-vitro findings of current study revealed oxytetracycline and gentamicin presented 100%efficacy against MSSA of all origins while the vancomycin presented>35%,>40%and>65%resistance against MSSA isolated from bovine,caprine and pet origin respectively.However,ciprofloxacin was equally effective(50%)against MSSA from buffalo and cattle while>80%efficacy was noted against MSSA from cat and dogs.Linezolid and amoxicillin+clavulanic acid were 77.78%and 66.67%sensitive to MSSA isolates from caprine milk.The present study found higher prevalence of MSSA from bovine,caprine and pet isolates with diversified pattern of susceptibility of different antibiotics from all sources. | Muhammad Aamir Naseer Amjad Islam Aqib Muhammad Shoaib Iqra Muzammil Zeeshan Ahmad Bhutta Iqra Gulzar | 2020 | Veterinary Science Research2020，2，1： | 0 |
| 17 | Examining Mediating Role of Customer Loyalty for Influence of Brand Related Attributes on Customer Repurchase Intention显示文摘The objective of current study was to investigate the influence of brand related attributes on customer loyalty and repurchase intention in agricultural product marketing in Pakistan. Results of current study would help the management of branded agricultural products, in Pakistan specifically and in developing countries generally, to formulate the best strategies to enhance customer loyalty in order to induce repurchase intention of them. Future research could be conducted in the same field by adopting larger sample size and this research can be replicated with specific product category. | Zeeshan Ahmad Meng Jun Imran Khan Muhammad Abdullah Tauqir Ahmad Ghauri | 2016 | Journal of Northeast Agricultural University(English Edition)2016，23，2： | 0 |
| 18 | Comparative Analysis Using Machine Learning Techniques for Fine Grain Sentiments显示文摘Huge amount of data is being produced every second for microblogs,different content sharing sites,and social networking.Sentimental classification is a tool that is frequently used to identify underlying opinions and sentiments present in the text and classifying them.It is widely used for social media platforms to find user’s sentiments about a particular topic or product.Capturing,assembling,and analyzing sentiments has been challenge for researchers.To handle these challenges,we present a comparative sentiment analysis study in which we used the fine-grained Stanford Sentiment Treebank(SST)dataset,based on 215,154 exclusive texts of different lengths that are manually labeled.We present comparative sentiment analysis to solve the fine-grained sentiment classification problem.The proposed approach takes start by pre-processing the data and then apply eight machine-learning algorithms for the sentiment classification namely Support Vector Machine(SVM),Logistic Regression(LR),Neural Networks(NN),Random Forest(RF),Decision Tree(DT),K-Nearest Neighbor(KNN),Adaboost and Naïve Bayes(NB).On the basis of results obtained the accuracy,precision,recall and F1-score were calculated to draw a comparison between the classification approaches being used. | Zeeshan Ahmad Waqas Haider Bangyal Kashif Nisar Muhammad Reazul Haque M.Adil Khan | 2022 | Journal on Artificial Intelligence2022，4，1： | 0 |
| 19 | Breast Cancer Detection in Saudi Arabian Women Using Hybrid Machine Learning on Mammographic Images显示文摘Breast cancer(BC)is the most common cause of women’s deaths worldwide.The mammography technique is the most important modality for the detection of BC.To detect abnormalities in mammographic images,the Breast Imaging Reporting and Data System(BI-RADs)is used as a baseline.The correct allocation of BI-RADs categories for mammographic images is always an interesting task,even for specialists.In this work,to detect and classify the mammogram images in BI-RADs,a novel hybrid model is presented using a convolutional neural network(CNN)with the integration of a support vector machine(SVM).The dataset used in this research was collected from different hospitals in the Qassim health cluster of Saudi Arabia.The collection of all categories of BI-RADs is one of the major contributions of this paper.Another significant contribution is the development of a hybrid approach through the integration of CNN and SVM.The proposed hybrid approach uses three CNN models to obtain ensemble CNN model results.This ensemble model saves the values to integrate them with SVM.The proposed system achieved a classification accuracy,sensitivity,specificity,precision,and F1-score of 93.6%,94.8%,96.9%,96.6%,and 95.7%,respectively.The proposed model achieved better performance compared to previously available methods. | Yassir Edrees Almalki Ahmad Shaf Tariq Ali Muhammad Aamir Sharifa Khalid Alduraibi Shoayea Mohessen Almutiri Muhammad Irfan Mohammad Abd Alkhalik Basha Alaa Khalid Alduraibi Abdulrahman Manaa Alamri Muhammad Zeeshan Azam Khalaf Alshamrani Hassan A.Alshamrani | 2022 | Computers, Materials & Continua2022，，9： | 0 |
| 20 | Agricultural Exports Competitiveness of Pakistan in Global Market显示文摘Agricultural sector is a major source of employment and export earnings for Pakistan. Exports of Pakistan are highly concentrated in agricultural products including cotton, rice, sugar and fruit. This study analyzed comparative and competitive advantages of the main agricultural products of Pakistan, i.e. cotton, rice and tangerines. Consumption patterns of top exporting countries in each category were also analyzed. Results revealed that Pakistan had strong competitiveness for export of these commodities. Strong potential for growth in the agricultural sector of Pakistan was found and it could be optimized to raise export earnings and meet the objectives of the strategic trade policy framework(STPF) 2015-2018 of Pakistan. | Majid Lateef Tong Guang-ji Muhammad Usman Riaz Mazhir Nadeem Ishaq Muhammad Abdullah Zeeshan Ahmad | 2018 | Journal of Northeast Agricultural University(English Edition)2018，25，2： | 0 |
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