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| 1 | Role of salivary matrix metalloproteinase-8 (MMP-8) in chronic periodontitis diagnosis显示文摘Periodontitis 是 periodontium 的煽动性的疾病。在 neutrophils 和织物禁止者分泌的矩阵 metalloproteinases (MMP ) 之间的任何不平衡在口香糖织物开始骨胶原的破坏,导致长期的 periodontitis。这研究瞄准了 MMP-8 的唾液的层次和长期的 periodontitis 的牙齿周围的参数到相互关联为长期的 periodontitis 的早诊断作为一个 noninvasive 标记建立 MMP-8。学习包含了访问扎乌丁·阿赫马德博士的 periodontic OPD 的 40 个题目牙齿的学院和医院,在 Aligarh 定位了, U.P,印度,从 2011 ~ 2012。这些题目被划分成二个组:组当组 II 与长期的 periodontitis 由 20 个病人组成了时,我由 20 个牙齿周围地健康的题目(控制) 组成了。长期的 periodontitis 根据几个牙齿周围的参数被估计,包括探查深度(PPD ) 的衣袋,临床的附件水平(CAL ) ,齿龈的索引(官方补给) ,并且匾索引(PI ) 。为由用 Quantikine 人总数 MMP-8 免疫分析工具包的 ELISA 的 MMP-8 评价在 unstimulated 和整个吐的口水的 3ml 附近是镇定的。数据用 STATISTICA (Windows 版本 6 ) 软件被分析。组的唾液的 MMP-8 层次我和 II 是 190.91?? | Namita Gupta N.D. Gupta Akash Gupta Saif Khan Neha Bansa | 2015 | Frontiers of Medicine2015，9，1： | 5 |
| 2 | Two-step machine learning enables optimized nanoparticle synthesis显示文摘In materials science,the discovery of recipes that yield nanomaterials with defined optical properties is costly and time-consuming.In this study,we present a two-step framework for a machine learning-driven high-throughput microfluidic platform to rapidly produce silver nanoparticles with the desired absorbance spectrum.Combining a Gaussian process-based Bayesian optimization(BO)with a deep neural network(DNN),the algorithmic framework is able to converge towards the target spectrum after sampling 120 conditions.Once the dataset is large enough to train the DNN with sufficient accuracy in the region of the target spectrum,the DNN is used to predict the colour palette accessible with the reaction synthesis.While remaining interpretable by humans,the proposed framework efficiently optimizes the nanomaterial synthesis and can extract fundamental knowledge of the relationship between chemical composition and optical properties,such as the role of each reactant on the shape and amplitude of the absorbance spectrum. | Flore Mekki-Berrada Zekun Ren Tan Huang Wai Kuan Wong Fang Zheng Jiaxun Xie Isaac Parker Siyu Tian Senthilnath Jayavelu Zackaria Mahfoud Daniil Bash Kedar Hippalgaonkar Saif Khan Tonio Buonassisi Qianxiao Li Xiaonan Wang | 2021 | npj Computational Materials2021，，1： | 3 |
| 3 | RePizer:a framework for prioritization of software requirements显示文摘标准的软件开发周期很大程度上取决于利益相关方的需求。软件开发全程围绕需求设计和管理。考虑到时间和资源的限制,必须分清哪些是必须首先考虑的高优先级需求。已有的需求排序架构缺少对历史数据的记录,而这些历史数据有助于从类似项目中方便地选取最适合的需求排序技术。本文中,我们提出一种名为Re Pizer的软件需求排序架构,该架构与一种选定的需求排序技术联合使用,可以基于给定标准(如开发成本),为软件需求优先级排序。Re Pizer通过从需求库提取历史数据,为软件需求工程师决策提供协助。此外,Re Pizer提供了对整个项目的全景式视角,以确保对资源的审慎使用。基于Re Pizer架构,采用已有的两种需求排序技术:计划博弈(planning game,PG)和层级分析(analytical hierarchy process,AHP),分别比较各自的预期准确度和易用程度。结果表明,采用计划博弈时,Re Pizer性能更佳。 | Saif Ur Rehman KHAN Sai Peck LEE Mohammad DABBAGH Muhammad TAHIR Muzafar KHAN Muhammad ARIF | 2016 | Frontiers of Information Technology & Electronic Engineering2016，17，8： | 2 |
| 4 | Prevalence of H elicobacter pylori infection and the effect of its eradication on symptoms of functional dyspepsia in K ashmir, I ndia显示文摘 | Jaswinder Singh Sodhi Gul Javid Showkat Ali Zargar Syed Tufail Altaf Shah Bashir Ahmad Khan Ghulam Nabi Yattoo Ghulam Mohamad Gulzar Mushtaq Ahmad Khan Mohd Iqbal Lone Riyaz u Saif Shaheena Parveen Abid Shoukat | 2013 | J Gastroenterol Hepatol2013，，5： | 2 |
| 5 | Safety and efficacy of 1-week levofloxacin-based triple therapy in first-line treatment for Helicobacter pylori -related peptic ulcer disease in Kashmir, India显示文摘 | Altaf Shah Gul Javid Showkat Ali Zargar Farooq Teli Bashir Ahmad Khan Ghulam Nabi Yattoo Ghulam Mohammad Gulzar Jaswinder Singh Sodhi Mushtaq Ahmad Khan Abid Shoukat Reyaz Saif | 2013 | Indian Journal of Gastroenterology2013，，1： | 1 |
| 6 | Genetic association study of P2x7 A1513C(rs 3751143) polymorphism and susceptibility to pulmonary tuberculosis: A meta-analysis based on the findings of 11 case-control studies显示文摘Objective:To summarize the precise association between pulmonary tuberculosis(PTB) and P2x7 A1513 C gene polymorphism.Methods:PubMed and Google Scholar web-databases were searched for the studies reporting the association of P2x7 A1513 C polymorphism and PTB risk.A meta-analysis was performed for the selected case-control studies and pooled odds ratios(ORs) and 95%confidence intervals(95%CIs) were calculated for all the genetic models.Results:Eleven studies comprising 2 678 controls and 2 113 PTB cases were included in this meta-analysis.We observed overall no significant risk in all the five genetic models.When stratified population by the ethnicity,Caucasian population failed to show any risk of PTB in all the genetics models.In Asian ethnicity,variant allele(C vs.A:P=0.001;QR=1.375,95%CI=1.159-1.632) and heterozygous genotype(AC vs.AA:P=0.001;OR=1.570,95%CI=1.269-1.944) demonstrated significant increased risk of PTB.Likewise,recessive genetic model(CC+AC vs.AA:P=0.001;OR=1.540,95%CI= 1.255-1.890) also demonstrated increased risk of PTB in Asians.Conclusions:Our meta-analysis did not suggest the association of P2x7 A1513 C polymorphism with PTB risk in overall or separately in Caucasian population.However,it plays a significant risk factor for predisposing PTB in Asians.Future larger sample and expression studies are needed to validate this association. | Eyad M.A.Alshammari Raju K.Mandal Mohd Wahid Sajad A.Dar Arshad Jawed Mohammed Y.Areeshi Saif Khan Md.Ekhlaque Ahmed Khan Aditya K.Panda Shafiul Haque | 2016 | Asian Pacific Journal of Tropical Medicine2016，9，12： | 1 |
| 7 | Stroke in Qatar: A First Prospective Hospital-based Study of Acute Stroke显示文摘 | Fahmi Yousef Khan Mohammed Yasin Mohammed Abu-Khattab A. Haleem El Hiday Mehdi Errayes Abdu Kaed Lotf Abdulsalam Saif Ibrahim Mushtak Talib Abbas Issa Matar Musaad Alsamawi Hassan Alhail | 2008 | Journal of Stroke and Cerebrovascular Diseases2008，，2： | 1 |
| 8 | 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 |
| 9 | Optimization of actinomycin V production by Streptomyces triostinicus using artificial neural network and genetic algorithm显示文摘 | Vineeta Singh Mahvish Khan Saif Khan C. K. M. Tripathi | 2009 | Applied Microbiology and Biotechnology2009，，2： | 1 |
| 10 | Identification of chemical compositions from“featureless”optical absorption spectra:Machine learning predictions and experimental validations显示文摘Rapid and accurate chemical composition identification is critically important in chemistry.While it can be achieved with optical absorption spectrometry by comparing the experimental spectra with the reference data when the chemical compositions are simple,such application is limited in more complicated scenarios especially in nano-scale research.This is due to the difficulties in identifying optical absorption peaks(i.e.,from“featureless”spectra)arose from the complexity.In this work,using the ultraviolet-visible(UV-Vis)absorption spectra of metal nanoclusters(NCs)as a demonstration,we develop a machine-learningbased method to unravel the compositions of metal NCs behind the“featureless”spectra.By implementing a one-dimensional convolutional neural network,good matches between prediction results and experimental results and low mean absolute error values are achieved on these optical absorption spectra that human cannot interpret.This work opens a door for the identification of nanomaterials at molecular precision from their optical properties,paving the way to rapid and high-throughput characterizations. | Tiankai Chen Jiali Li Pengfei Cai Qiaofeng Yao Zekun Ren Yixin Zhu Saif Khan Jianping Xie Xiaonan Wang | 2023 | Nano Research2023，16，3： | 0 |
| 11 | Suggestion Mining from Opinionated Text of Big Social Media Data显示文摘:Social media data are rapidly increasing and constitute a source of user opinions and tips on a wide range of products and services.The increasing availability of such big data on biased reviews and blogs creates challenges for customers and businesses in reviewing all content in their decision-making process.To overcome this challenge,extracting suggestions from opinionated text is a possible solution.In this study,the characteristics of suggestions are analyzed and a suggestion mining extraction process is presented for classifying suggestive sentences from online customers’reviews.A classification using a word-embedding approach is used via the XGBoost classifier.The two datasets used in this experiment relate to online hotel reviews and Microsoft Windows App Studio discussion reviews.F1,precision,recall,and accuracy scores are calculated.The results demonstrated that the XGBoost classifier outperforms—with an accuracy of more than 80%.Moreover,the results revealed that suggestion keywords and phrases are the predominant features for suggestion extraction.Thus,this study contributes to knowledge and practice by comparing feature extraction classifiers and identifying XGBoost as a better suggestion mining process for identifying online reviews. | Youseef Alotaibi Muhammad Noman Malik Huma Hayat Khan Anab Batool Saif ul Islam Abdulmajeed Alsufyani Saleh Alghamdi | 2021 | Computers, Materials & Continua2021，，9： | 0 |
| 12 | In vitro inhibitory effects on a-glucosidase and a-amylase level and antioxidant potential of seeds of Phoenix dactylifera L.显示文摘Objective:To evaluate and compare the antioxidant activity,total phenolic contents(TPCs) and in vitro antidiabetic activity of various pits extracts obtained from five Omani date cultivars.Methods:Sun-dried mature fruits of five Omani date varieties,namely,Fardh,Naghal,Khalas,Khinazi and Khasab were purchased from the local market in Muscat,Oman in the month of September 2014.Four seed extracts viz.water,ethanol,methanol and acetone were prepared for each date variety and their antioxidant activities were investigated by 1,1-diphenyl-2-picrylhydrazyl,hydrogen peroxide scavenging method and reducing power assay method,respectively.In vitro antidiabetic activity of the date pit extracts was evaluated by measuring their inhibitory effect on a-glucosidase and aamylase level.TPCs were also quantified colorimetrically.Results:The results indicated that TPC of date seeds was solvent dependent.Acetone,ethanol and methanol were found to be significantly better solvents than water in extracting phenolic compounds from the date seeds.Pit extracts exhibited moderate to good in vitro antioxidant activity and increased reducing power.Among all date pit extracts,water extract exhibited significant in vitro antidiabetic activity in comparison to standard drug,acarbose.Conclusions:The present study confirms that disposed waste of Omani dates is a rich source of dietary antioxidant because of its high TPC.The pits due to their inhibitory effects on a-glucosidase and a-amylase level could be used as a monotherapy along with an appropriate diabetic diet and exercise or might be in conjunction with antidiabetic therapy to manage and prevent progression of diabetes. | Shah Alam Khan Amira Rashid Al Kiyumi Manal Saif Al Sheidi Tagreed Salim Al Khusaibi Noura Mohammed Al Shehhi Tanveer Alam | 2016 | Asian Pacific Journal of Tropical Biomedicine2016，6，4： | 0 |
| 13 | High-performance and Multi-functional Control of Transformerless Single-phase Smart Inverter for Grid-connected PV System显示文摘Highly reliable and flexible control is required for distributed generation(DG) to efficiently connect to the grid.Smart inverters play a key role in the control and integration of DG into the power grid and provide advanced functionalities. In this paper, an energy-based single-phase voltage-source smart inverter(SPV-SSI) of 5 k VA is designed and analyzed in detail. SPV-SSI is capable of supplying the power to local load and the utility load up to the rated capacity of the inverter, injecting the power into the grid, storing the energy in lead-acid battery bank, controlling the voltage at the point of common coupling(PCC) during voltage sags or faults, and making decisions on real-time pricing information obtained from the utility grid through advanced metering. The complete design of smart inverter in dq frame, bi-directional DC-DC buck-boost converter, IEEE standard 1547 based islanding and recloser, and static synchronous compensator(STATCOM) functionalities is presented in this paper. Moreover, adaptive controllers, i. e., fuzzy proportional-integral(F-PI) controller and fuzzy-sliding mode controller(F-SMC) are designed. The performances of F-PI controller and F-SMC are superior, stable, and robust compared with those of conventionally tuned PI controllers for voltage control loop(islanded mode) and current control loop(grid-connected mode). | Kamran Zeb Saif Ul Islam Waqar Uddin Imran Khan Muhammad Ishfaq Tiago Davi Curi Busarello H.J.Kim | 2021 | Journal of Modern Power Systems and Clean Energy2021，9，6： | 0 |
| 14 | A Heuristics-Based Cost Model for Scientic Workow Scheduling in Clou显示文摘Scientic Workow Applications(SWFAs)can deliver collaborative tools useful to researchers in executing large and complex scientic processes.Particularly,Scientic Workow Scheduling(SWFS)accelerates the computational procedures between the available computational resources and the dependent workow jobs based on the researchers’requirements.However,cost optimization is one of the SWFS challenges in handling massive and complicated tasks and requires determining an approximate(near-optimal)solution within polynomial computational time.Motivated by this,current work proposes a novel SWFS cost optimization model effective in solving this challenge.The proposed model contains three main stages:(i)scientic workow application,(ii)targeted computational environment,and(iii)cost optimization criteria.The model has been used to optimize completion time(makespan)and overall computational cost of SWFS in cloud computing for all considered scenarios in this research context.This will ultimately reduce the cost for service consumers.At the same time,reducing the cost has a positive impact on the protability of service providers towards utilizing all computational resources to achieve a competitive advantage over other cloud service providers.To evaluate the effectiveness of this proposed model,an empirical comparison was conducted by employing three core types of heuristic approaches,including Single-based(i.e.,Genetic Algorithm(GA),Particle Swarm Optimization(PSO),and Invasive Weed Optimization(IWO)),Hybrid-based(i.e.,Hybrid-based Heuristics Algorithms(HIWO)),and Hyper-based(i.e.,Dynamic Hyper-Heuristic Algorithm(DHHA)).Additionally,a simulation-based implementation was used for SIPHT SWFA by considering three different sizes of datasets.The proposed model provides an efcient platform to optimally schedule workow tasks by handing data-intensiveness and computational-intensiveness of SWFAs.The results reveal that the proposed cost optimization model attained an optimal Job completion time(makespan)and total computational cost for small and large sizes of the considered dataset.In contrast,hybrid and hyper-based approaches consistently achieved better results for the medium-sized dataset. | Ehab Nabiel Al-Khanak Sai Peck Lee Saif Ur Rehman Khan Navid Behboodian Osamah Ibrahim Khalaf Alexander Verbraeck Hans van Lint | 2021 | Computers, Materials & Continua2021，，6： | 0 |
| 15 | Approach for Grid Connected PV Management:Advance Solar Prediction and Enhancement of Voltage Stability Margin Using FACTS Device显示文摘The uncertainty in solar energy is different from conventional,dispatchable generation fuels and difficult to incorporate into the standard system operating procedures.In the first part of this work,the machine learning algorithm is used to train models based on solar irradiance data and different meteorological weather information to predict the solar irradiance for different cities to validate the forecasting model.Again,the intermittent and inertialess nature of photovoltaic(PV)systems can produce significant power oscillations that can cause significant problems with dynamic stability of the power system and also limit the penetration capacity of PV into the grid.In the second part,it is shown that the residue-based power oscillation damping(POD)controller obviously improves the inter-area oscillation damping.The validity and effectiveness of the proposed controller are demonstrated on the three-machine two-area test system that combines the conventional synchronous generator and flexible alternating current transmission systems(FACTS)device using simulations.This report overall puts an in-depth analysis with regard to the challenges of solar resources with integrating,planning,operating,and particularly the stability of the rest of the power grid,including existing generation resources,customer requirements,and the transmission system itself that will lead to an improved decision making in resource allocations and grid stability. | Md.Masum Howlader Mohammad Rokonuzzaman Md Tanbhir Hoq Aziz Un Nur Ibn Saif MD Shahrukh Adnan Khan Mahfuj Howlader | 2020 | Journal of Electronic Science and Technology2020，18，4： | 0 |
| 16 | Behavioral effects of a four-wing attractor with circuit realization: a cryptographic perspective on immersion显示文摘In this paper,we propose an innovative chaotic system,combining fractional derivative and sinehyperbolic nonlinearity with circuit execution.The study of this system is conducted via an analog circuit simulator,using two anti-parallel semiconductor diodes to provide hyperbolic sine nonlinearity,and to function as operational amplifiers.The multi-stability of the system is also enhanced with the help of multi-equilibrium points for distinct real orders of system.The system explores the generation of a four-wing attractor in different phases,both numerically and electronically.By changing the input parameters of the system,different graphs are generated for current flow in state,phase,and space,to confirm the precision of the fractional order derivatives.A reasonable simulation shows that the deliberate circuit provides effective chaos in terms of speed and accuracy,which is comensurate with the numerical simulation.This nonlinear chaotic behavior is utilized to encrypt sound(.wav),images(.jpg),and animated(.gif)data which are a major requirement for the security of communication systems.The proposed circuit performs chaos and cryptographic tasks with high-effective analog computation,and constitutes a novel approach to this area of research. | Najeeb Alam Khan Muhammad Ali Qureshi Tooba Hameed Saeed Akbar Saif Ullah | 2020 | Communications in Theoretical Physics2020，72，12： | 0 |
| 17 | Depositional Environment and Lithofacies Analyses of Eocene Lacustrine Shale in the Bohai Bay Basin:Insights from Mineralogy and Elemental Geochemistry显示文摘The effect of various depositional parameters including paleoclimate,paleosalinity and provenance,on the depositional mechanism of lacustrine shale is very important in reconstructing the depositional environment.The classification of shale lithofacies and the interpretation of shale depositional environment are key features used in shale oil and gas exploration and development activity.The lower 3rd member of the Eocene Shahejie Formation(Es_(3)^(x)shale)was selected for this study,as one of the main prospective intervals for shale oil exploration and development in the intracratonic Bohai Bay Basin.Mineralogically,it is composed of quartz(avg.9.6%),calcite(avg.58.5%),dolomite(avg.7%),pyrite(avg.3.3%)and clay minerals(avg.20%).An advanced methodology(thin-section petrography,total organic carbon and total organic sulfur contents analysis,X-ray diffraction(XRD),X-ray fluorescence(XRF),field-emission scanning electron microscopy(FE-SEM))was adopted to establish shale lithofacies and to interpret the depositional environment in the lacustrine basin.Six different types of lithofacies were recognized,based on mineral composition,total organic carbon(TOC)content and sedimentary structures.Various inorganic geochemical proxies(Rb/Sr,Ca/(Ca+Fe),Ti/Al,Al/Ca,Al/Ti,Zr/Rb)have been used to interpret and screen variations in depositional environmental parameters during the deposition of the Es_(3)^(x)shale.The experimental results indicate that the environment during the deposition of the Es_(3)^(x)shale was warm and humid with heightened salinities,moderate to limited detrital input,higher paleohydrodynamic settings and strong oxygen deficient(reducing)conditions.A comprehensive depositional model of the lacustrine shale was developed.The interpretations deduced from this research work are expected to not only expand the knowledge of shale lithofacies classification for lacustrine fine-grained rocks,but can also offer a theoretical foundation for lacustrine shale oil exploration and development. | Danish KHAN LIANG Chao QIU Longwei Kamran MIRZA WANG Yelei Muhammad KASHIF Saif Ur REHMAN WANG Yuzhe TENG Jianbin | 2023 | Acta Geologica Sinica(English Edition)2023，97，2： | 0 |
| 18 | Modeling and scientific computing for the transmission dynamics of Avian influenza with half-saturated incidence显示文摘This paper presents the mathematical analysis of the dynamical system for avian influenza.The proposed model considers a nonlinear dynamical model of birds and human.The half-saturated incidence rate is used for the transmission of avian influenza infection.Rigorous mathematical results are presented for the proposed models.The local and global dynamics of each model are presented and proven that when R0<1,then the disease-free equilibrium of each model is stable both locally and globally,and when R0>1,then the endemic equilibrium is stable both locally and globally.The numerical results obtained for the proposed model shows that influenza could be eliminated from the community if the threshold is not greater than unity. | Muhammad Altaf Khan Saif Ullah Yasir Khan Muhammad Farhan | 2020 | International Journal of Modeling, Simulation, and Scientific Computing2020，11，4： | 0 |
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