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| 1 | 药用植物内生菌对作物生长及氧化应激的作用(英文)显示文摘目的:探讨药用植物内生菌的多样性及其在种子生长和氧化应激中的作用。方法:从三种药用植物(Caralluma acutangula、Rhazya stricta和Moringa peregrina)中提取内生菌;基于18S r DNA测序和系统发育分析鉴定分离得到的内生菌株;以正常和矮化突变体水稻品系为对照,比较不同浓度的内生菌培养滤液(CF)对水稻种子的发芽和生长的影响;通过气相色谱-质谱分析CF中的有效活性成分。结论:从药用植物中共获得10种内生菌,包括茎点霉属6株、链格孢属2株、双极霉属1株和枝孢霉属1株。CF表现出剂量依赖性的生长刺激和抑制作用。与对照和其他内生菌相比,100%的茎点霉菌CF显著促进了水稻种子的发芽和生长;双极霉中的吲哚乙酸含量最高,并表现出比其更高的自由基清除和抗脂质过氧化活性;双极霉菌和茎点霉菌的类黄酮和酚类成分较高。综上所述,药用植物中存在内生菌株,其可以用于改善作物生长和减轻氧化应激。 | Abdul Latif KHAN Syed Abdullah GILANI Muhammad WAQAS Khadija AL-HOSNI Salima AL-KHIZIRI Yoon-Ha KIM Liaqat ALI Sang-Mo KANG Sajjad ASAF Raheem SHAHZAD Javid HUSSAIN In-Jung LEE Ahmed AL-HARRASI | 2017 | Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)2017，18，2： | 6 |
| 2 | Prevalence of HBV infection in suspected population of conflict-affected area of war against terrorism in North Waziristan FATA Pakistan显示文摘 | Amjad Ali Muhammad Nisar Muhammad Idrees Habib Ahmad Abrar Hussain Shazia Rafique Sabeen Sabri Habib ur Rehman Liaqat Ali Shariatullah Wazir Tariq Khan | 2012 | Infection, Genetics and Evolution2012，，8： | 1 |
| 3 | A Qualitative Evaluation of Evolution of A Learning Analyties Tool显示文摘 | Liaqat Ali Marek Hatala Dragan Gasevi Jelena Jovanovi | 2012 | Computers & Education2012，58，1： | 1 |
| 4 | Effect of microvoid formation on the tensile properties of dual-phase steel显示文摘 | Ejaz Ahmad Tanvir Manzoor Kanwar Liaqat Ali J. I. Akhter | 2000 | Journal of Materials Engineering and Performance2000，，3： | 1 |
| 5 | Alsanius,Late season harvest and storage of Rubus berries-Major antioxidant and sugar levels,Scientia Horticulturae显示文摘 | Liaqat Ali Birgitta Svensson Beatrix W | 2011 | (129):376-3812011，，129： | 1 |
| 6 | Effect of microvoid formation on the tensile properties of dual-phase steel 显示文摘 | Abroad Ejaz Tanvir Manzor Kanwar Liaqat Ali | 2000 | Journal of Materials Engineering and Performance2000，9，3： | 1 |
| 7 | Effect of microvoid formation on the tensile properties of dual-phase steel显示文摘 | Ejaz Ahmad Tanvir Manzoor Kanwar Liaqat Ali J. I. Akhter | 2000 | Journal of Materials Engineering and Performance2000，，3： | 1 |
| 8 | Essential oil composition and nutrient analysis of selected medicinal plants in Sultanate of Oman显示文摘 | Javid Hussain Najeeb Ur Rehman Ahmed Al-Harrasi Liaqat Ali Abdul Latif Khan Muhammad Abdullah Albroumi | 2013 | Asian Pacific Journal of Tropical Disease2013，，6： | 1 |
| 9 | An Improved Gain Vector to Enhance Convergence Characteristics of Recursive Least Squares Algorithm显示文摘 | Anum Ali Anis-ur-Rehman Rana Liaqat Ali | 2011 | International Journal of Hybrid Information Technology2011，4，： | 1 |
| 10 | Development of a highly sensitive method using LC-MRM to quantify membrane P-glycoprotein in biological matrices and relationship to transport function显示文摘 | Tasso Miliotis Liaqat Ali Johan E Palm | 2011 | Drug Metab Dispos2011，39，12： | 1 |
| 11 | Natural Propulsion with Lorentz Force and Nanoparticles in a Bioinspired Lopsided Ciliated Channel显示文摘由象睫运动和灵活的墙的自我产生的收缩松驰一样的自然推进的生物、工业的 nanofluids 的交通在各种各样的域里有巨大的应用程序。在这个方向由多学科的发明启发了,液体机械模型被建议学习磁电机水动力学(MHD ) ,为 nanofluids 的热转移作为基础液体在水里由 nanoparticles 的分散制作了。稳定的流动被 metachronal 波浪推进由于打败睫导致。流动政体是不对称的隧道。流动在低雷纳兹数字和长波长近似下面被限制。为速度部件的睫边界条件被采用发现准确答案。温度侧面,速度侧面,压力,和溪流线上的恰当的物理参数的影响数字地被计算。速度与磁性的雷纳兹数字,雷纳兹数字, Strommers 数字和速度相反地成正比,这被观察是直接比例的流动率。温度与 Strommers 数字和磁性的雷纳兹数字相反地成正比,这被分析并且与 Brinkmann 直接成正比数字和流动率。温度在隧道的中心是最大的,它开始向边界墙减少。 | Noreen Sher Akbar Liaqat Ali Khan Zafar Hayat Khan Nazir Ahmed Mir | 2017 | Journal of Bionic Engineering2017，14，1： | 0 |
| 12 | Genesis of Manganese Deposits in the Ali Khanzai Block of the Zhob Ophiolite,Pakistan:Inferences from Geochemistry and Mineralogy显示文摘The Zhob ophiolite comprises the Naweoba, Omzha and Ali Khanzai blocks, which are surrounded by the sediments of the Alozai Group and Loralai Formation. The Ali Khanzai Block contains metamorphic, ultramafic, gabbroic, volcanic and volcaniclastic rocks with associated chert. The Zhob manganese deposits found in the Ali Khanzai Block, occur in banded, lenticular and massive forms within red to brown coloured metachert. Braunite and pyrolusite are the main constituent manganese-bearing minerals with minor hausmannite, hematite and barite while quartz is the major gangue mineral with some carbonate minerals. Geochemical evidence from the major oxides indicates that the manganese mineralization and associated metachert at Zhob were formed by hydrothermal activity with little contribution from contemporaneous volcanic materials and this is confirmed by high Fe/Mn and low Co/Zn ratios and trace element patterns. These deposits formed along with seafloor spreading centres and were later obducted as part of Ali Khanzai Block of Zhob ophiolite. | Muhammad Ayoub Khan Muhammad Ishaq Kakar Thomas Ulrich Liaqat Ali Andrew CKerr Khalid Mahmood Rehanul Haq Siddiqui | 2020 | Journal of Earth Science2020，31，5： | 0 |
| 13 | Infield superconducting properties of nano-sized Ag added Cu0.5Tl0.5Ba2Ca2Cu3O10-δ显示文摘Infield superconducting properties of {(Ag)_x/CUTl-1223};(x = 0, 0.5,1.0.2.0 and 4.0 wt %) nanoparticlessuperconductor composites were investigated under different applied magnetic field up to H = 8 T. The increase in critical temperature {T_c(0)} and decrease in normal state resistivity(p_o) were observed with increasing contents of Ag nanoparticles in CuTl-1223 superconducting matrix. The value of T_c^(onset)(K) remained almost unaffected by applying external magnetic field, but a decreasing trend in T_c(0) was observed by increasing the value of external applied magnetic field. The transition region below T_c^(onset)(K) showed Arrhenius behavior due to thermally activated flow of magnetic vortices. Enhancement in flux flow activation energy(U_o) and suppression in transition width(ΔT) of CuTl-1223 phase with addition of Ag nanoparticles showed the improvement in flux pinning strength of superconductor. | M.W.Rabbani Liaqat Ali M.Mumtaz Iftikhar Hussain Gul | 2017 | Progress in Natural Science:Materials International2017，27，4： | 0 |
| 14 | Geochemistry and in-situ U-Th/Pb Geochronology of the Jambil Meta-Carbonatites, Northern Pakistan: Implications on Petrogenesis and Tectonic Evolution显示文摘The putative Jambil meta-carbonatites of Swat,northern Pakistan,occur as discrete intrusions into the Proterozoic Manglaur Formation,which are difficult to be distinguished from nearby calc-silicate marble because both rock types experienced regional metamorphism during Himalayan orogenesis that resulted in similar mosaic textures and mineral assemblages.Carbonatites are often significant repositories of economic mineral resources and,therefore,are important to be distinguished from calc-silicate marble.We present new geochemical and geochronology data to distinguish between the two rock types and interpret the petrogenesis and tectonic evolution of the Jambil metacarbonatites.Whole rock chemical data from the Jambil meta-carbonatites show characteristically high rare earth element(REE),Sr contents and lack of negative Eu anomaly,consistent with average calcio-carbonatite values worldwide and an igneous origin.More than 0.5 wt.% SrO in the metacarbonatites and SrO> 0.15 wt.% in constituent rock forming calcite are discriminating signatures of the Jambil meta-carbonatites.Chemically,the Jambil meta-carbonatites are relatively depleted in Rb,Nb,Ta,Ti,Zr and Hf,relatively enriched in Ba,Th,Sr,and have a high LREE/HREE ratio when normalized to primitive mantle.Their carbon and oxygen isotope compositions vary from-3.5‰ to-4.3‰and from 9.7‰ to 12.3‰,respectively.These geochemical characteristics indicate generation of the carbonatites through small degree of partial melting from a carbonated eclogitic source.In-situ,U/Pb analysis of titanite indicates that the Jambil meta-carbonatites were emplacement at 438 ±3 Ma.When combined with regional geological observations,we interpret the emplacement of the Jambil metacarbonatites to have taken place during the Silurian back arc extension within greater Gondwana and mark a transition from a compressional tectonic regime,brought about by collision of microcontinental blocks along the northern margin of Gondwana,to post-orogenic extension in the waning stages of the pre-Himalayan Ordovician orogeny.Finally,in-situ ^(208)Pb/^(232)Th monazite dates(40.3-27.6Ma) extracted from the meta-carbonatites are consistent with the Cenozoic metamorphism of the area. | Asad Khan Shah Faisal Kyle P.Larson Delores M.Robinson Huan Li Zaheen Ullah Mark Button Javed Nawab Muhammad Farhan Liaqat Ali Muhammad Ali | 2023 | Journal of Earth Science2023，34，1： | 0 |
| 15 | Personality Assessment Based on Natural Stream of Thoughts Empowered with Machine Learning显示文摘Knowing each other is obligatory in a multi-agent collaborative environment.Collaborators may develop the desired know-how of each other in various aspects such as habits,job roles,status,and behaviors.Among different distinguishing characteristics related to a person,personality traits are an effective predictive tool for an individual’s behavioral pattern.It has been observed that when people are asked to share their details through questionnaires,they intentionally or unintentionally become biased.They knowingly or unknowingly provide enough information in much-unbiased comportment in open writing about themselves.Such writings can effectively assess an individual’s personality traits that may yield enormous possibilities for applications such as forensic departments,job interviews,mental health diagnoses,etc.Stream of consciousness,collected by James Pennbaker and Laura King,is one such way of writing,referring to a narrative technique where the emotions and thoughts of the writer are presented in a way that brings the reader to the fluid through the mental states of the narrator.More-over,computationally,various attempts have been made in an individual’s personality traits assessment through deep learning algorithms;however,the effectiveness and reliability of results vary with varying word embedding techniques.This article proposes an empirical approach to assessing personality by applying convolutional networks to text documents.Bidirectional Encoder Representations from Transformers(BERT)word embedding technique is used for word vector generation to enhance the contextual meanings. | Mohammed Salahat Liaqat Ali Taher M.Ghazal Haitham M.Alzoubi | 2023 | Computers, Materials & Continua2023，，7： | 0 |
| 16 | Predicting Dementia Risk Factors Based on Feature Selection and Neural Networks显示文摘Dementia is a disorder with high societal impact and severe consequences for its patients who suffer from a progressive cognitive decline that leads to increased morbidity,mortality,and disabilities.Since there is a consensus that dementia is a multifactorial disorder,which portrays changes in the brain of the affected individual as early as 15 years before its onset,prediction models that aim at its early detection and risk identification should consider these characteristics.This study aims at presenting a novel method for ten years prediction of dementia using on multifactorial data,which comprised 75 variables.There are two automated diagnostic systems developed that use genetic algorithms for feature selection,while artificial neural network and deep neural network are used for dementia classification.The proposed model based on genetic algorithm and deep neural network had achieved the best accuracy of 93.36%,sensitivity of 93.15%,specificity of 91.59%,MCC of 0.4788,and performed superior to other 11 machine learning techniques which were presented in the past for dementia prediction.The identified best predictors were:age,past smoking habit,history of infarct,depression,hip fracture,single leg standing test with right leg,score in the physical component summary and history of TIA/RIND.The identification of risk factors is imperative in the dementia research as an effort to prevent or delay its onset. | Ashir Javeed Ana Luiza Dallora Johan Sanmartin Berglund Arif Ali Peter Anderberg Liaqat Ali | 2023 | Computers, Materials & Continua2023，，5： | 0 |
| 17 | Geochemical modeling, fate distribution, and risk exposure of potentially toxic metals in the surface sediment of the Shyok suture zone, northern Pakistan显示文摘The objective of the current study was to assess the contamination of potentially toxic metals(PTMs)in weathered surface sediment,along stream tributaries,and surrounding area of the river Chitral,Shyok suture zone district Chitral,Pakistan.To understand the geochemical features of 113 sediment,samples were collected from the Mirkhani and Drosh area.Then,different statistical tools including the geoaccumulation index(Igeo),cluster analysis(CA),principal component analysis(PCA),and ecological risk assessment(ERA)were used to unravel the origin,intensity,and exposure level of PTMs to control risk and restore the ecosystem within the study area.The results for the PTMs namely nickle(Ni),chromium(Cr),copper(Cu),cadmium(Cd),lead(Pb),zinc(Zn),and cobalt(Co)in Mirkhani and Drosh were in the following ranges:10e150,15e210,15e250,0.08e1.00,10e70,76e240 and 14e51;and 13 e240,17e210,15e150,0.08e0.60,7e140,47e150 and 13e36 mg/kg,respectively.In consequence,the potential ecological risk caused by Pb,Ni,Cu,Co,Cr,and Zn is reflected by the percentages of samples with an ecological risk index(ERI)greater than one which were 100%,91%,100%,100%,92%,and 100%,respectively.However,the overall mean decreasing order of ecological risk of PTMs in the district Chitral was Pb>Ni>Cu>Co>Cr>Zn>Cd.Moreover,the PCA yielded 78%variability which indicated that mineral prospects play an important role in the contamination of sediment.Furthermore,the mineral phases of Pb and Zn suggested supersaturation,while that for Cd revealed unsaturation.The results of Igeo,ERI,and CA indicated contamination of PTMs in the study area.The ERI value of Pb,Ni,Cu,Co,Cr,and Zn was higher than 1 suggesting an ecological risk in the study area.Moreover,the current study showed the dominance of geogenic contamination with major contributions from ultramafic rock and known mineral prospects.Therefore,contaminated sediment of the Shyok suture zone is extremely detrimental to the aquatic ecosystem of the study area. | Liaqat Ali Abdur Rashid Seema Anjum Khattak Xubo Gao Shah Jehan Asif Javed | 2021 | International Journal of Sediment Research2021，36，5： | 0 |
| 18 | 采用内点算法的灰狼优化程序阵列纠错(英文)显示文摘设计了一个采用内点算法的灰狼优化程序以纠错天线阵列。若单个传感器故障,整个阵列辐射功率图在旁瓣电平(sidelobe level,SLL)和深零度电平(nulldepthlevel,NDL)方向受干扰,零点被破坏并发生偏离。可通过设计新的适应函数解决这些问题,并减小预期辐射功率图与零限值之间的偏差。该混合算法用于控制天线阵列的辐射功率图。仿真实验使用了由21个传感器组成的天线阵列。仿真结果表明,与现有的SLL和NDL方法相比,所提方法具有良好性能。 | Shafqat Ullah KHAN M.K.A.RAHIM Liaqat ALI | 2018 | Frontiers of Information Technology & Electronic Engineering2018，19，9： | 0 |
| 19 | AI-Based Intelligent Model to Predict Epidemics Using Machine Learning Technique显示文摘The immediate international spread of severe acute respiratory syn-drome revealed the potential threat of infectious diseases in a closely integrated and interdependent world.When an outbreak occurs,each country must have a well-coordinated and preventative plan to address the situation.Information and Communication Technologies have provided innovative approaches to dealing with numerous facets of daily living.Although intelligent devices and applica-tions have become a vital part of our everyday lives,smart gadgets have also led to several physical and psychological health problems in modern society.Here,we used an artificial intelligence AI-based system for disease prediction using an Artificial Neural Network(ANN).The ANN improved the regularization of the classification model,hence increasing its accuracy.The unconstrained opti-mization model reduced the classifier’s cost function to obtain the lowest possible cost.To verify the performance of the intelligent system,we compared the out-comes of the suggested scheme with the results of previously proposed models.The proposed intelligent system achieved an accuracy of 0.89,and the miss rate 0.11 was higher than in previously proposed models. | Liaqat Ali Saif E.A.Alnawayseh Mohammed Salahat Taher M.Ghazal Mohsen A.A.Tomh Beenu Mago | 2023 | Intelligent Automation & Soft Computing2023，，4： | 0 |
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