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| 1 | 基于微生物和纳米TiO_(2)的双负载核壳水凝胶的制备及性能显示文摘设计了能同时利用微生物和光催化剂,分步逐级降解亚甲基蓝(MB)的多功能双负载核壳水凝胶,核为聚乙烯醇和羟乙基纤维素包覆酵母菌,壳为海藻酸钠和钙离子负载纳米TiO_(2)。SEM结果表明,核壳结构清晰可辨;显微镜照片和荧光标记照片证明了核中酵母菌的存在;XRD结果证明了壳中纳米TiO_(2)的负载;FTIR、XPS结果证实了核壳结构的分子间存在着相互作用力。考察了在TiO_(2)和酵母菌不同用量下制备的水凝胶对MB的分步降解效果,壳中纳米TiO_(2)用量越高,水凝胶对MB的降解率越大,最高可达96.65%;而随着酵母菌用量的增加,水凝胶对MB的降解率先增大后减小。在使用4次后,水凝胶对MB的降解率仍有68.97%。 | 宋鸽 张敏 宋洁 KANWAL Aqsa 李成涛 | 2021 | 精细化工2021，38，3： | 5 |
| 2 | Degradation of poly(butylene adipate-co-terephthalate) by Stenotrophomonas sp. YCJ1 isolated from farmland soil显示文摘In recent years, poly(butylene adipate-co-terephthalate)(PBAT) has been widely used. However, PBAT-degrading bacteria have rarely been reported. PBAT-degrading bacteria were isolated from farmland soil and identified. The effects of growth factors on the degradation of PBAT and the lipase activity of PBAT-degrading bacteria were assessed. The degradation mechanism was analyzed using scanning electron microscopy, attenuated total reflection Fourier transform infrared spectroscopy, proton nuclear magnetic resonance, Xray diffraction, and liquid chromatography-mass spectrometry. The results showed that Stenotrophomonas sp. YCJ1 had a significant degrading effect on PBAT. Under certain conditions, the strain could secrete 10.53 U/m L of lipase activity and degrade 10.14 wt.% of PBAT films. The strain secreted lipase to catalyze the degradation of the ester bonds in PBAT, resulting in the production of degradation products such as terephthalic acid, 1,4-butanediol, and adipic acid. Furthermore, the degradation products could participate in the metabolism of YCJ1 as carbon sources to facilitate complete degradation of PBAT, indicating that the strain has potential value for the bioremediation of PBAT in the environment. | Hao Jia Min Zhang Yunxuan Weng Yao Zhao Chengtao Li Aqsa Kanwal | 2021 | Journal of Environmental Sciences2021，33，5： | 4 |
| 3 | Mn3O4包覆对LiNi0.5Mn1.5O4正极材料界面电化学性能的提高显示文摘本文采用化学湿磨法,首次将金属氧化物Mn3O4包覆于LiNi(0.5)Mn(1.5)O4颗粒表面,使得电极材料的电子电导率从1.53×10^-7S/cm提高到3.15×10^-5S/cm.电化学测试结果表明Mn3O4包覆大大提高LiNi(0.5)Mn(1.5)O4正极材料的倍率性能和高温循环稳定性.最佳包覆样品为2.6wt%Mn3O4包覆的LiNi(0.5)Mn(1.5)O4,在10 C倍率下具有108 mAh/g的高放电容并且在55℃下100次循环后仍有78%的容量保持率,远大于未包覆样品67%的容量保持率. | 邓苗苗 张大伟 邵宇 贺晓东 Aqsa Yasmin 陈春华 | 2020 | Chinese Journal of Chemical Physics2020，33，4： | 2 |
| 4 | A system dynamics model for billion trees tsunami afforestation project of Khyber Pakhtunkhwa in Pakistan:Model application to afforestation activities显示文摘As part of the global effort to plant billion trees,an afforestation project is launched in Pakistan in Khyber Pakhtunkhwa(KP)province to conserve existing forests and to increase area under forest cover.The present study is designed to build a Systems'model by incorporating major activities of the Billion Tree Tsunami Afforestation Project(BTTAP)with special focus on afforestation activities to estimate the growth in forest area of KP.Availability of complete dataset was a challenge.To fix the model,the raw data taken from the project office has been utilized.Planning Commission Form 1-Phase I&II helped us with additional information.We relied on the data available for one and half period of the project as rest of the data is subject to the completion of the project.Our results show that the project target to enhance area under forest differs from the target to afforest area under the project.The system dynamics'model projection shows that the forest area of KP would be 23.59 million hectares at the end of the BTTA project,thus having an increase of 3.29%instead of 2%that has been initially proposed.However,the results show that the progress to meet the target in some afforestation classes is slow as compared to other categories.Farm forestry,plantation on communal lands and owners'plantation need special focus of the authority.Deforestation would affect 0.02 million hectares area of the project.The model under study may be used as a reference model that can be replicated to other areas where billion tree campaigns are going on. | Naila NAZIR Aqsa FAROOQ Sajjad AHMAD JAN Aftab AHMAD | 2019 | Journal of Mountain Science2019，16，11： | 1 |
| 5 | Characterization ofputative multidrug resistance transporters of the major facilitator-superfamily expressed in Salmonella Typhi 显示文摘 | AQSAS FOUZIA I MAZHARI | 2015 | Journal of Infection and Chemotherapy2015，21，5： | 1 |
| 6 | A review on current conventional and biotechnical approaches to enhance biosynthesis of steviol glycosides in Stevia rebaudiana显示文摘Stevia rebaudiana Bertoni is commonly called stevia and mostly found in the north east regions of South America.It is an herbaceous and shrubby plant belonging to the Asteraceae family.Stevia is considered as a natural sweetener and a commercially important plant worldwide.The leaves of S.rebaudiana contain steviol glycosides(SGs)which are highly potent and non-caloric sweeteners.The sweetening property of S.rebaudiana is contributed to the presence of these high potency,calorie free steviol glycosides.SGs are considerably suitable for replacing sucrose and other artificial sweetening agents which are used in different industries and pharmaceuticals.SGs amount in the plant mostly varies from 8%to 10%,and the enhancement of SGs is always in demand.These glycosides have the potential to become healthier alternatives to other table sugars for having desirable taste and zero calories.SGs are almost 300 times sweeter than sucrose.Being used as alternative sugar intensifier the commercial value of this plant in biopharmaceutical,food and beverages industries and in international market is increasing day by day.SGs have made stevia an important part of the medicinal world as well as the food and beverage industry,but the limited production of plant material is not fulfilling the higher global market demand.Therefore,researchers are working worldwide to increase the production of important SGs through the intercession of different biotechnological approaches in S.rebaudiana.This review aims to describe the emerging biotechnological strategies and approaches to understand,stimulate and enhance biosynthesis of secondary metabolites in stevia.Conventional and biotechnological methods for the production of steviol glycosides have been briefly reviewed and discussed. | Samra Basharat Ziyang Huang Mengyue Gong Xueqin Lv Aqsa Ahmed Iftikhar Hussain Jianghua Li Guocheng Du Long Liu | 2021 | Chinese Journal of Chemical Engineering2021，34，2： | 1 |
| 7 | COVID-19 and comorbidities of hepatic diseases in a global perspective显示文摘The worldwide outbreak of coronavirus disease 2019(COVID-19) has challenged the priorities of healthcare system in terms of different clinical management and infection transmission, particularly those related to hepatic-disease comorbidities. Epidemiological data evidenced that COVID-19 patients with altered liver function because of hepatitis infection and cholestasis have an adverse prognosis and experience worse health outcomes. COVID-19-associated liver injury is correlated with various liver diseases following a severe acute respiratory syndrome-coronavirus type 2(SARS-CoV-2) infection that can progress during the treatment of COVID-19 patients with or without pre-existing liver disease. SARS-CoV-2 can induce liver injury in a number of ways including direct cytopathic effect of the virus on cholangiocytes/hepatocytes, immune-mediated damage, hypoxia, and sepsis. Indeed, immediate cytopathogenic effects of SARSCoV-2 via its potential target, the angiotensin-converting enzyme-2 receptor, which is highly expressed in hepatocytes and cholangiocytes, renders the liver as an extra-respiratory organ with increased susceptibility to pathological outcomes. But, underlying COVID-19-linked liver disease pathogenesis with abnormal liver function tests(LFTs) is incompletely understood. Hence, we collated COVID-19-associated liver injuries with increased LFTs at the nexus of pre-existing liver diseases and COVID-19, and defining a plausible pathophysiological triad of COVID-19, hepatocellular damage, and liver disease. This review summarizes recent findings of the exacerbating role of COVID-19 in pre-existing liver disease and vice versa as well as international guidelines of clinical care, management, and treatment recommendations for COVID-19 patients with liver disease. | Aqsa Ahmad Syeda Momna Ishtiaq Junaid Ali Khan Rizwan Aslam Sultan Ali Muhammad Imran Arshad | 2021 | World Journal of Gastroenterology2021，27，13： | 1 |
| 8 | Topological Aspects of Dendrimers via Connection-Based Descriptors显示文摘Topological indices(TIs)have been practiced for distinct wide-ranging physicochemical applications,especially used to characterize and model the chemical structures of various molecular compounds such as dendrimers,nanotubes and neural networks with respect to their certain properties such as solubility,chemical stability and low cytotoxicity.Dendrimers are prolonged artificially synthesized or amalgamated natural macromolecules with a sequential layer of branches enclosing a central core.A present-day trend in mathematical and computational chemistry is the characterization of molecular structure by applying topological approaches,including numerical graph invariants.Among topological descriptors,Zagreb connection indices(ZCIs)have much importance.This manuscript involves the establishment of general results to calculate ZCIs,namely first ZCI(FZCI),second ZCI(SZCI),third ZCI(TZCI),modified FZCI,modified SZCI and modified TZCI of two special types of dendrimers nanostars,namely,poly propylene imine octamin(PPIO)dendrimer and poly(propyl)ether imine(PPEtIm)dendrimer.Furthermore,we provide the numerical and graphical comparative analysis of our calculated results for both types of dendrimers with each other. | Muhammad Javaid Ahmed Alamer Aqsa Sattar | 2023 | Computer Modeling in Engineering & Sciences2023，，5： | 1 |
| 9 | Antifungal Potential of Chenopodium album L. against Chickpea Blight显示文摘 | Khajista Jabeen Aqsa Zahid Sherazi Sumera Iqbal | 2014 | Journal of Agricultural Science and Technology(A)2014，4，1： | 0 |
| 10 | Convolutional Neural Network-Based Classificationof Multiple Retinal Diseases Using Fundus Images显示文摘Use of deep learning algorithms for the investigation and analysis of medical images has emerged as a powerful technique.The increase in retinal dis-eases is alarming as it may lead to permanent blindness if left untreated.Automa-tion of the diagnosis process of retinal diseases not only assists ophthalmologists in correct decision-making but saves time also.Several researchers have worked on automated retinal disease classification but restricted either to hand-crafted fea-ture selection or binary classification.This paper presents a deep learning-based approach for the automated classification of multiple retinal diseases using fundus images.For this research,the data has been collected and combined from three distinct sources.The images are preprocessed for enhancing the details.Six layers of the convolutional neural network(CNN)are used for the automated feature extraction and classification of 20 retinal diseases.It is observed that the results are reliant on the number of classes.For binary classification(healthy vs.unhealthy),up to 100%accuracy has been achieved.When 16 classes are used(treating stages of a disease as a single class),93.3%accuracy,92%sensitivity and 93%specificity have been obtained respectively.For 20 classes(treating stages of the disease as separate classes),the accuracy,sensitivity and specificity have dropped to 92.4%,92%and 92%respectively. | Aqsa Aslam Saima Farhan Momina Abdul Khaliq Fatima Anjum Ayesha Afzaal Faria Kanwal | 2023 | Intelligent Automation & Soft Computing2023，，6： | 0 |
| 11 | Detection Collision Flows in SDN Based 5G Using Machine Learning Algorithms显示文摘The rapid advancement of wireless communication is forming a hyper-connected 5G network in which billions of linked devices generate massive amounts of data.The traffic control and data forwarding functions are decoupled in software-defined networking(SDN)and allow the network to be programmable.Each switch in SDN keeps track of forwarding information in a flow table.The SDN switches must search the flow table for the flow rules that match the packets to handle the incoming packets.Due to the obvious vast quantity of data in data centres,the capacity of the flow table restricts the data plane’s forwarding capabilities.So,the SDN must handle traffic from across the whole network.The flow table depends on Ternary Content Addressable Memorable Memory(TCAM)for storing and a quick search of regulations;it is restricted in capacity owing to its elevated cost and energy consumption.Whenever the flow table is abused and overflowing,the usual regulations cannot be executed quickly.In this case,we consider lowrate flow table overflowing that causes collision flow rules to be installed and consumes excessive existing flow table capacity by delivering packets that don’t fit the flow table at a low rate.This study introduces machine learning techniques for detecting and categorizing low-rate collision flows table in SDN,using Feed ForwardNeuralNetwork(FFNN),K-Means,and Decision Tree(DT).We generate two network topologies,Fat Tree and Simple Tree Topologies,with the Mininet simulator and coupled to the OpenDayLight(ODL)controller.The efficiency and efficacy of the suggested algorithms are assessed using several assessment indicators such as success rate query,propagation delay,overall dropped packets,energy consumption,bandwidth usage,latency rate,and throughput.The findings showed that the suggested technique to tackle the flow table congestion problem minimizes the number of flows while retaining the statistical consistency of the 5G network.By putting the proposed flow method and checking whether a packet may move from point A to point B without breaking certain regulations,the evaluation tool examines every flow against a set of criteria.The FFNN with DT and K-means algorithms obtain accuracies of 96.29%and 97.51%,respectively,in the identification of collision flows,according to the experimental outcome when associated with existing methods from the literature. | Aqsa Aqdus Rashid Amin Sadia Ramzan Sultan S.Alshamrani Abdullah Alshehri El-Sayed M.El-kenawy | 2023 | Computers, Materials & Continua2023，，1： | 0 |
| 12 | Analytical approach to study a mathematical model of CD4 + T-cells显示文摘 | Aqsa Nazir Naveed Ahmed Umar Khan Syed Tauseef Mohyud-Din | 2018 | International Journal of Biomathematics2018，11，4： | 0 |
| 13 | A Potential Approach to Enhance the Seebeck Coefficient of UHMWPE by Using the Graphene Oxide显示文摘Thermoelectric materials have been a competent source for the production of energy in the present decade.The most important and potential parameter required for the material to have better thermoelectric characteristics is the Seebeck coefficient.In this work,ultra high molecular weight polyethylene(UHMWPE)and graphene oxide(GO)nanocomposites were prepared by mechanical mixing by containing 10000ppm,50000ppm,70000ppm,100000ppm,150000ppm,and 200000ppm loadings of graphene oxide.Due to the intrinsic insulating nature of UHMWPE,the value of Seebeck for pristine UHMWPE and its nanocomposites with 10000ppm&50000ppm of GO concentration was too low to be detected.However,the Seebeck coefficient for composites with 70000ppm,100000ppm,150000ppm,and 200000ppm loadings of GO was found to be 180,206,230,and 235μV/K,respectively.These higher values of Seebeck coefficients were attributed to the superior thermal insulating nature of UHMWPE and the conductive network induced by the GO within the UHMWPE insulating matrix.Although,the values of the figure of merit and power factor were negligibly small due to the lower concentration of charge carriers in UHMWPE/GO nanocomposites but still reported,results are extremely hopeful for considering the composite as the potential candidate for thermoelectric applications. | Aqsa Irfan Malik Naqash Mehmood Malik Sajjad Mehmood Arif Aziz Mansoor Ahmad Baluch Muhammad Rizwan Tariq Yasin | 2020 | Non-Metallic Material Science2020，2，2： | 0 |
| 14 | Floyd-Warshall Algorithm Based on Picture Fuzzy Information显示文摘The Floyd-Warshall algorithm is frequently used to determine the shortest path between any pair of nodes.It works well for crisp weights,but the problem arises when weights are vague and uncertain.Let us take an example of computer networks,where the chosen path might no longer be appropriate due to rapid changes in network conditions.The optimal path from among all possible courses is chosen in computer networks based on a variety of parameters.In this paper,we design a new variant of the Floyd-Warshall algorithm that identifies an All-Pair Shortest Path(APSP)in an uncertain situation of a network.In the proposed methodology,multiple criteria and theirmutual associationmay involve the selection of any suitable path between any two node points,and the values of these criteria may change due to an uncertain environment.We use trapezoidal picture fuzzy addition,score,and accuracy functions to find APSP.We compute the time complexity of this algorithm and contrast it with the traditional Floyd-Warshall algorithm and fuzzy Floyd-Warshall algorithm. | Shaista Habib Aqsa Majeed Muhammad Akram Mohammed M.Ali Al-Shamiri | 2023 | Computer Modeling in Engineering & Sciences2023，，9： | 0 |
| 15 | Traversable wormhole solutions in the f(R)theories of gravity under the Karmarkar condition显示文摘This paper examines traversable wormhole models in the f(R) theories of gravity by applying the Karmarkar condition. For this purpose, we consider spherically symmetric space-time to examine the structure of wormholes. First, we investigate wormholes and their geometry using the redshift function under various conditions. Subsequently, we discuss the embedding diagram of the upper and lower universe using radial coordinates in two and three-dimensional Euclidean affine space. Three exclusive models are considered for the f(R) theories of gravity,and the radial and tangential pressures are observed. Furthermore, by taking a definite shape function, we observe the behavior of energy conditions. We determine that energy conditions are violated, and their violation is generic and represents the presence of exotic matter. According to Einstein’s field theory, the existence of wormholes is predicated on the occurrence of rare material. Hence, we conclude that our study is more realistic and stable. | Adnan Malik Fatemah Mofarreh Aqsa Zia Akram Ali | 2022 | Chinese Physics C2022，46，9： | 0 |
| 16 | Toxic and Antifeedant Effects of Different Pesticidal Plant Extracts against Beet Armyworm (Spodoptera exigua)显示文摘The beet armyworm(BAW),Spodoptera exigua(Lepidoptera:Noctuidae)is a highly destructive pest of vegetables and field crops.Management of beet armyworm primarily relies on synthetic pesticides,which is threatening the beneficial community and environment.Most importantly,the BAW developed resistance to synthetic pesticides with making it difficult to manage.Therefore,alternative and environment-friendly pest management tactics are urgently required.The use of pesticidal plant extracts provides an effective way for a sustainable pest management program.To evaluate the use of pesticidal plant extracts against BAW,we selected six plant species(Lantana camara,Aloe vera,Azadirachta indica,Cymbopogon citratus,Nicotiana tabacum,and Ocimum basilicum)for initial screening experiment.Four out of six plant species such as A.indica,N.tabacum,C.citratus and O.basilicum showed promising mortality of more than 50%.Therefore,we selected these four plant extracts for the subsequent experiments.Through contact bioassay,A.indica showed high mortality 66.63%,followed by the N.tabacum 53.33%,at 10%w/v concentration.Similarly,N.tabacum showed the highest mortality rate,66%at 10%w/v concentration,followed by the A.indica 46%through feeding bioassay.Furthermore,the feeding deterrence assay showed that C.citratus had a high antifeedant index(−50)followed by A.indica(−39),and N.tabacum(−28).In living plant assay,the N.tabacum extract showed a low mean damage score 3.6 on living cotton plant followed by C.citratus 4.5 and A.indica 5.5.Hence,extracts of three plant species provided promising results against the BAW,which can minimize the use of synthetic chemicals,particularly for small landholding farmers.Further studies are also required to evaluate the effects of these plant extract against BAW on cotton plants under field conditions to optimize the further use. | Muhammad Asad Rashad Rasool Khan Ahmed B.Aljuboory Muhammad Haroon URashid Uttam Kumar Inzamam Ul Haq Aqsa Hafeez Ahmed Noureldeen Khadiga Alharbi | 2023 | Phyton-International Journal of Experimental Botany2023，92，4： | 0 |
| 17 | Response of Contrasting Rice Genotypes to Zinc Sources under Saline Condition显示文摘Abiotic stresses are among the major limiting factors for plant growth and crop productivity.Among these,salinity is one of the major risk factors for plant growth and development in arid to semi-arid regions.Cultivation of salt tolerant crop genotypes is one of the imperative approaches to meet the food demand for increasing population.The current experiment was carried out to access the performance of different rice genotypes under salinity stress and Zinc(Zn)sources.Four rice genotypes were grown in a pot experiment and were exposed to salinity stress(7 dS m^(−1)),and Zn(15 mg kg^(-1)soil)was applied from two sources,ZnSO4 and Zn-EDTA.A control of both salinity and Zn was kept for comparison.Results showed that based on the biomass accumulation and K^(+)/Na^(+)ratio,KSK-133 and BAS-198 emerged as salt tolerant and salt sensitive,respectively.Similarly,based on the Zn concentration,BAS-2000 was reported as Zn-in-efficient while IR-6 was a Zn-efficient genotype.Our results also revealed that plant growth,relative water content(RWC),physiological attributes including chlorophyll contents,ionic concentrations in straw and grains of all rice genotypes were decreased under salinity stress.However,salt tolerant and Zn-in-efficient rice genotypes showed significantly higher shoot K^(+)and Zn concentrations under saline conditions.Zinc application significantly alleviates the harmful effects of salinity by improving morpho-physiological attributes and enhancing antioxidant enzyme activities,and the uptake of K and Zn.The beneficial effect of Zn was more pronounced in salt-tolerant and Zn in-efficient rice genotypes as compared with salt-sensitive and Zn-efficient genotypes.In sum,our results confirmed that Zn application increased overall plant’s performance under saline conditions,particularly in Zn in-efficient and tolerant genotypes as compared with salt-sensitive and Zn efficient rice genotypes. | Muhammad Jan Muhammad Anwar-Ul-Haq Talha Javed Sadam Hussain Ilyas Ahmad Muhammad Ashraf Sumrah Javed Iqbal Babar Hussain Babar Aqsa Hafeez Muhammad Aslam Muhammad Tahir Akbar Marjan Aziz Khadiga Alharbi Izhar Ullah | 2023 | Phyton-International Journal of Experimental Botany2023，92，5： | 0 |
| 18 | A conformable mathematical model for alcohol consumption in Spain显示文摘A study on the conformable model of alcohol consumption in Spain has been presented.For the proposed model,the existence as well as the uniqueness of the solution has been discussed with the help of fixed-point theory.An analytical technique,Variational Iteration Method (VIM),has been used to obtain the solution to the governing system of differential equations.With the help of suitable plots,the role of fractional order derivative has been highlighted.For decreasing values of fractional order derivative,decrease in the number of non-consumers and non-risk consumers has been observed.By increasing the value of fractional order derivative,a sharp decrease can be seen in the compartment of risk-consumers.The agreement between the current study and the already existing studies,with ordinary derivatives,has also been pointed out. | Aqsa Nazir Naveed Ahmed Umar Khan Syed Tauseef Mohyud-Din | 2019 | International Journal of Biomathematics2019，12，5： | 0 |
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