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| 1 | A holistic approach for optimal designof air quality monitoring network expansion in an urban area显示文摘 | Abdullah M Tahir H | 2010 | Atmospheric Environment2010，44，3： | 1 |
| 2 | Correlations among oligonucleotide repeats, nucleotide substitutions, and insertion-deletion mutations in chloroplast genomes of plant family Malvaceae显示文摘The co-occurrence of mutational events including substitutions and insertions—deletions(InDels)with oligonucleotide repeats has previously been reported for a limited number of prokaryotic,eukaryotic,and organelle genomes.In this study,the correlations among these mutational events in chloroplast genomes of species in the eudicot family Malvaceae were investigated.This study also reported chloroplast genome sequences of Hibiscus mutabilis,Malva parvifJora,and Malvastrum coromandelianum.These three genomes and 16 other publicly available chloroplast genomes from 12 genera of Malvaceae were used to calculate the correlation coefficients among the mutational events at干amily,subfamily,and genus levels.In these comparisons,chloroplast genomes were pairwise aligned to record the substitutions and the InDels in mutually exclusive,250 nucleotide long bins.Taking one among the two genomes as a reference,the coordinate positions of oligonucleotide repeats in the reference genome were recorded.The extent of correlations among repeats,substitutions,and InDels was calculated and categorized as follows:very weak(0.1-0.19),weak(0.20-0.29),moderate(0.30-0.39),and strong(0.4-0.69).The extent of correlations ranged 0.201-0.6 between^InDels and single-nucleotide polymorphism(SNP),'0.182-0.513 between“InDels and repeat,”and 0.055-0.403 between“SNPs and repeats.”At family-and subfamily-level comparisons,88%-96%of the repeats showed co-occurrence with SNPs,whereas at the genus level,23%-86%of the repeats co-occurred with SNPs in same bins.Our findings support the previous hypothesis suggesting the use of oligonucleotide repeats as a proxy for finding the mutational hotspots. | Abdullah Furrukh Mehmood Iram Shahzadi Zain Ali Madiha Islam Muhammad Naeem Bushra Mirza Peter JLockhart Ibrar Ahmed Mohammad Tahir Waheed | 2021 | Journal of Systematics and Evolution2021，59，2： | 1 |
| 3 | Predictions of temperature distributions on layered metal plates using artificial neural networks显示文摘 | Tahir Ayata Abdullah ?avu?ogˇlu Erol Arcakl?ogˇlu | 2005 | Energy Conversion and Management2005，，15： | 1 |
| 4 | Design of urban air quality monitoring network: fuzzy based multi-criteria decision making approach 显示文摘 | Abdullah Mofarrah Tahir Husain Badr H Alharbi | 2011 | Air Quality Monitoring Assessment and Management2011，11，： | 1 |
| 5 | Biochemical synthesis of silver nanoprticles using filamentous fungi Penicillium decumbens (MTCC-2494) and its efficacy against A-549 lung cancer cell line显示文摘Biosynthesis of silver and other metallic nanoparticles is one of the emerging research area in the field of science and technology due to their potentiality, especially in the field of nano-biotechnology and biomedical sciences in order to develop nanomedicine. In our present study, Penicillium decumbens(MTCC-2494) was brought from Institute of Microbial Technology(IMTECH) Chandigarh and employed for extracellular biological synthesis of silver nanoparticles. Ag-NPs formation was appeared with a dark brown color inside the conical flask. Characterization of Ag-NPs were done by UV-Spectrophotometric analysis which showed absorption peak at 430 nm determines the presence of nanoparticles, Fourier transform infrared(FT-IR) spectroscopic analysis, showed amines and amides are the possible proteins involved in the stabilization of nanoparticles as capping agent. Atomic force Microscopy(AFM) confirmed the particle are spherical, size was around 30 to 60 nm and also the roughness of nanoparticles. Field emission scanning electron microscopy(FE-SEM) showed the topology of the nanoparticles and were spherical in shape. The biosynthesis process was found fast, ecofriendly and cost effective. Nano-silver particle was found to have a broad antimicrobial activity and also it showed good enhancement of antimicrobial activity of Carbenicillin, Piperacillin, Cefixime, Amoxicillin, Ofloxacin and Sparfloxacin in a synergistic mode. These Ag-NPs showed good anti-cancer activity at 80 μg·m L^(-1) upon 24 hours of incubation and toxicity increases upon 48 hours of incubation against A-549 human lung cancer cell line and the synergistic formulation of the antibiotic with the synthesized nanoparticles was found more effective against the pathogenic bacteria studied. | Shahnaz Majeed Mohd Syafiq bin Abdullah Gouri Kumar Dash Mohammed Tahir Ansari Anima Nanda | 2016 | Chinese Journal of Natural Medicines2016，14，8： | 1 |
| 6 | A holistic approach for optimal design of air quality monitoring network expansion in an urban area显示文摘 | Abdullah M Tahir H | 2010 | Atmospheric Environment2010，44，3： | 1 |
| 7 | Internet and social media usage of orthopaedic patients:A questionnaire-based survey显示文摘AIM To evaluate social media usage of orthopaedic patients to search for solutions to their health problems. METHODS The study data were collected using face-to-face questionnaire with randomly selected 1890 patients aged over 18 years who had been admitted to the orthopaedic clinics in different cities and provinces across Turkey. The questionnaire consists of a total of 16 questions pertaining to internet and social media usage and demographics of patients, patients' choice of institution for treatment, patient complaints on admission, online hospital and physician ratings, communication between the patient and the physician and its effects.RESULTS It was found that 34.2%(n = 647) of the participants consulted with an orthopaedist using the internet and 48.7%(n = 315) of them preferred websites that allow users to ask questions to a physician. Of all questionaskers, 48.5%(n = 314) reported having found the answers helpful. Based on the educational level of the participants, there was a highly significant difference between the rates of asking questions to an orthopaedist using the internet(P = 0.001). The rate of questionasking was significantly lower in patients with an elementary education than that in those with secondary, high school and undergraduate education(P = 0.001) The rate of reporting that the answers given was helpful was significantly higher in participants with an undergraduate degree compared to those who were illiterate, those with primary, elementary or high school education(P = 0.001). It was also found that the usage of the internet for health problems was higher among managers-qualified participants than unemployed-housewives, officers, workers-intermediate staff(P < 0.05).CONCLUSION We concluded that patients have been increasingly using the internet and social media to select a specific physician or to seek solution to their health problems in an effective way. Even though the internet and social media offer beneficial effects for physicians or patients, there is still much obscurity regarding their harms and further studies are warranted for necessary arrangements to be made. | Tahir Mutlu Duymus Hilmi Karadeniz Mehmet Akif Cacan Baran Komür Abdullah Demirtas Sinan Zehir Ibrahim Azboy | 2017 | World Journal of Orthopedics2017，8，2： | 1 |
| 8 | Adsorption,desorption, and mobility of metsulfuron-methyl in Malaysian agricultural soil显示文摘 | Abdullah A R Sinnakkannu S Tahir N M | 2001 | Bulletin of Environmental Contamination and Toxicology2001，66，： | 1 |
| 9 | Adsorption, desorption, and mobility of metsulfuronmethyl in Malaysian agricultural soil显示文摘 | Abdullah AR Sinnakkannu S Tahir NM | 2001 | Bulletin of Environmental Contamination and Toxicology2001，66，： | 1 |
| 10 | A Neuro-Fuzzy Approach to Road Traffic Congestion Prediction显示文摘The fast-paced growth of artificial intelligence applications provides unparalleled opportunities to improve the efficiency of various systems.Such as the transportation sector faces many obstacles following the implementation and integration of different vehicular and environmental aspects worldwide.Traffic congestion is among the major issues in this regard which demands serious attention due to the rapid growth in the number of vehicles on the road.To address this overwhelming problem,in this article,a cloudbased intelligent road traffic congestion prediction model is proposed that is empowered with a hybrid Neuro-Fuzzy approach.The aim of the study is to reduce the delay in the queues,the vehicles experience at different road junctions across the city.The proposed model also intended to help the automated traffic control systems by minimizing the congestion particularly in a smart city environment where observational data is obtained from various implanted Internet of Things(IoT)sensors across the road.After due preprocessing over the cloud server,the proposed approach makes use of this data by incorporating the neuro-fuzzy engine.Consequently,it possesses a high level of accuracy by means of intelligent decision making with minimum error rate.Simulation results reveal the accuracy of the proposed model as 98.72%during the validation phase in contrast to the highest accuracies achieved by state-of-the-art techniques in the literature such as 90.6%,95.84%,97.56%and 98.03%,respectively.As far as the training phase analysis is concerned,the proposed scheme exhibits 99.214% accuracy. The proposed prediction modelis a potential contribution towards smart cities environment. | Mohammed Gollapalli Atta-ur-Rahman Dhiaa Musleh Nehad Ibrahim Muhammad Adnan Khan Sagheer Abbas Ayesha Atta Muhammad Aftab Khan Mehwash Farooqui Tahir Iqbal Mohammed Salih Ahmed Mohammed Imran BAhmed Dakheel Almoqbil Majd Nabeel Abdullah Omer | 2022 | Computers, Materials & Continua2022，，10： | 0 |
| 11 | Mg和Ni共掺杂的ZnO稀释磁性半导体在磁性和光催化的应用显示文摘随着引入磁性元素,氧化锌最近被广泛用作磁性半导体.本文报告了Mg和Ni共掺杂的ZnO的纯相合成,并研究其结构、光学、磁性和光催化特性.X射线衍射分析显示其六方纤锌矿型结构具有P63mc构型且不含任何杂质.紫外可见分光光度法表明,随着ZnO中掺杂的Mg和Ni含量增加,带隙发生变化.磁性测量实验显示Ni和Mg共掺杂的ZnO磁性加强,带隙的稳定进一步证实其结构的稳定性,实现了其在现代自旋电子设备的磁调谐性能.对甲基绿的光催化降解实验结果表明,Mg和Ni共掺杂ZnO的活性增强. | Tahir Iqbal M.Irfan Shahid M.Ramay Abdullah Alhamidi Hamid Shaikh Murtaza Saleem Saadat A.Siddiqi | 2020 | Chinese Journal of Chemical Physics2020，33，6： | 0 |
| 12 | Sedimentology of the Redang Island Coral Reefs Environment显示文摘 | Nor Antonina Binti Abdullah Noor Azhar Mohd Shazili Norhayati binti Mohd . Tahir Siti Zauyah binti Darus | 2010 | Journal of Chemistry and Chemical Engineering2010，4，2： | 0 |
| 13 | Optimal Parameter Estimation of Transmission Line Using Chaotic Initialized Time-Varying PSO Algorithm显示文摘Transmission line is a vital part of the power system that connects two major points,the generation,and the distribution.For an efficient design,stable control,and steady operation of the power system,adequate knowledge of the transmission line parameters resistance,inductance,capacitance,and conductance is of great importance.These parameters are essential for transmission network expansion planning in which a new parallel line is needed to be installed due to increased load demand or the overhead line is replaced with an underground cable.This paper presents a method to optimally estimate the parameters using the input-output quantities i.e.,voltages,currents,and power factor of the transmission line.The equivalentπ-network model is used and the terminal data i.e.,sending-end and receiving-end quantities are assumed as available measured data.The parameter estimation problem is converted to an optimization problem by formulating an error-minimizing objective function.An improved particle swarm optimization(PSO)in terms of time-varying control parameters and chaos-based initialization is used to optimally estimate the line parameters.Two cases are considered for parameter estimation,the first case is when the line conductance is neglected and in the second case,the conductance is considered into account.The results obtained by the improved algorithm are compared with the standard version of the algorithm,firefly algorithm and artificial bee colony algorithm for 30 number of trials.It is concluded that the improved algorithm is tremendously sufficient in estimating the line parameters in both cases validated by low error values and statistical analysis,comparatively. | Abdullah Shoukat Muhammad Ali Mughal Saifullah Younus Gondal Farhana Umer Tahir Ejaz Ashiq Hussain | 2022 | Computers, Materials & Continua2022，，4： | 0 |
| 14 | Effects of fasting and preoperative feeding in children显示文摘AIM:To investigate whether children should undergo surgery without a long period of fasting after feeding.METHODS:Eighty children with inguinoscrotal disorders(aged 1-10 years) were studied prospectively.They were divided into eight groups that each contained 10 children who were fed normal liquid food(NLF) and a high-calorie diet(HCD) 2,3,4 and 5 h before surgery,in two doses at 6-h intervals.NLF was given to four groups and HCD to the other four.In all groups,glucose,prealbumin and cortisol levels in the blood were measured twice:just after oral feeding and just before the operation.After the establishment of adequate anesthesia,gastric residue liquid was measured with a syringe.RESULTS:Blood glucose levels in all patients fed NLF and HCD were high,except in patients in the HCD-4 group.There was no signifi cant difference in the blood prealbumin levels.There was a significant increase in the blood cortisol levels in the NLF-2(14.4±5.7),HCD-2(13.2±6.0),NLF-3(10.9±6.4),and HCD-5(6.8±5.7) groups(P<0.05).CONCLUSION:The stress of surgery may be tolerated by children when they are fed up to 2 h before elective surgery. | Muslim Yurtcu Engin Gunel Tahir Kemal Sahin Abdullah Sivrikaya | 2009 | World Journal of Gastroenterology2009，15，39： | 0 |
| 15 | Water flooding behavior in flow cells for ammonia production via electrocatalytic nitrogen reduction显示文摘The green production of ammonia,in an electrochemical flow cell under ambient conditions,is a promising way to replace the energy-intensive Haber-Bosch process.In the operation of this flow cell with an alkaline electrolyte,water is produced at the anode but also required as an essential reactant at the cathode for nitrogen reduction.Hence,water from the anode is expected to diffuse through the membrane to the cathode to compensate for the water needed for nitrogen reduction.Excessive water permeation,however,tends to increase the possibility of water flooding,which would not only create a large barrier for nitrogen delivery and availability,but also lead to severe hydrogen evolution as side reaction,and thus significantly lower the ammonia production rate and Faradaic efficiency.In this work,the water flooding phenomenon in flow cells for ammonia production via electrocatalytic nitrogen reduction is verified via the visualization approach and the electrochemical cell performance.In addition,the effects of the nitrogen flow rate,applied current density,and membrane thickness on the water crossover flux and ammonia production rate are comprehensively studied.The underlying mechanism of water transport through the membrane,including diffusion and electro-osmotic drag,is precisely examined and specified to provide more insight on water flooding behavior in the flow cell. | Zhefei Pan Farhan Khalid Abdullah Tahir Oladapo Christopher Esan Jie Zhu Rong Chen Liang An | 2022 | Fundamental Research2022，2，5： | 0 |
| 16 | Automated Classification of Snow-Covered Solar Panel Surfaces Based on Deep Learning Approaches显示文摘Recently,the demand for renewable energy has increased due to its environmental and economic needs.Solar panels are the mainstay for dealing with solar energy and converting it into another form of usable energy.Solar panels work under suitable climatic conditions that allow the light photons to access the solar cells,as any blocking of sunlight on these cells causes a halt in the panels work and restricts the carry of these photons.Thus,the panels are unable to work under these conditions.A layer of snow forms on the solar panels due to snowfall in areas with low temperatures.Therefore,it causes an insulating layer on solar panels and the inability to produce electrical energy.The detection of snow-covered solar panels is crucial,as it allows us the opportunity to remove snow using some heating techniques more efficiently and restore the photovoltaics system to proper operation.This paper presents five deep learning models,■-16,■-19,ESNET-18,ESNET-50,and ESNET-101,which are used for the recognition and classification of solar panel images.In this paper,two different cases were applied;the first case is performed on the original dataset without trying any kind of preprocessing,and the second case is extreme climate conditions and simulated by generating motion noise.Furthermore,the dataset was replicated using the upsampling technique in order to handle the unbalancing issue.The conducted dataset is divided into three different categories,namely;all_snow,no_snow,and partial snow.The fivemodels are trained,validated,and tested on this dataset under the same conditions 60%training,20%validation,and testing 20%for both cases.The accuracy of the models has been compared and verified to distinguish and classify the processed dataset.The accuracy results in the first case showthat the comparedmodels■-16,■-19,ESNET-18,and ESNET-50 give 0.9592,while ESNET-101 gives 0.9694.In the second case,the models outperformed their counterparts in the first case by evaluating performance,where the accuracy results reached 1.00,0.9545,0.9888,1.00.and 1.00 for■-16,■-19,ESNET-18 and ESNET-50,respectively.Consequently,we conclude that the second case models outperformed their peers. | Abdullah Ahmed Al-Dulaimi Muhammet Tahir Guneser Alaa Ali Hameed Mohammad Shukri Salman | 2023 | Computer Modeling in Engineering & Sciences2023，，9： | 0 |
| 17 | The knowledge society's origins and current trajectory显示文摘We address the rise of the knowledge society,reviewing the major contributors to its conceptualization from Karl Marx onward.Synthesizing their ideas,we characterize the current state and direction of the knowledge society,its connection to related ideas of digital economy,e-government,and others,and detail implications for business and other organizations,and for society at large. | Fred Phillips Ching-Ying Yu Tahir Hameed Mahmoud Abdullah El Akhdary | 2017 | International Journal of Innovation Studies2017，1，3： | 0 |
| 18 | Resource Based Automatic Calibration System (RBACS) Using Kubernetes Framework显示文摘Kubernetes,a container orchestrator for cloud-deployed applications,allows the application provider to scale automatically to match thefluctuating intensity of processing demand.Container cluster technology is used to encapsulate,isolate,and deploy applications,addressing the issue of low system reliability due to interlocking failures.Cloud-based platforms usually entail users define application resource supplies for eco container virtualization.There is a constant problem of over-service in data centers for cloud service providers.Higher operating costs and incompetent resource utilization can occur in a waste of resources.Kubernetes revolutionized the orchestration of the container in the cloud-native age.It can adaptively manage resources and schedule containers,which provide real-time status of the cluster at runtime without the user’s contribution.Kubernetes clusters face unpredictable traffic,and the cluster performs manual expansion configuration by the controller.Due to operational delays,the system will become unstable,and the service will be unavailable.This work proposed an RBACS that vigorously amended the distribution of containers operating in the entire Kubernetes cluster.RBACS allocation pattern is analyzed with the Kubernetes VPA.To estimate the overall cost of RBACS,we use several scientific benchmarks comparing the accomplishment of container to remote node migration and on-site relocation.The experiments ran on the simulations to show the method’s effectiveness yielded high precision in the real-time deployment of resources in eco containers.Compared to the default baseline,Kubernetes results in much fewer dropped requests with only slightly more supplied resources. | Tahir Alyas Nadia Tabassum Muhammad Waseem Iqbal Abdullah S.Alshahrani Ahmed Alghamdi Syed Khuram Shahzad | 2023 | Intelligent Automation & Soft Computing2023，，1： | 0 |
| 19 | Blockchain-as-a-Utility for Next-Generation Healthcare Internet of Things显示文摘The scope of the Internet of Things(IoT)applications varies from strategic applications,such as smart grids,smart transportation,smart security,and smart healthcare,to industrial applications such as smart manufacturing,smart logistics,smart banking,and smart insurance.In the advancement of the IoT,connected devices become smart and intelligent with the help of sensors and actuators.However,issues and challenges need to be addressed regarding the data reliability and protection for signicant nextgeneration IoT applications like smart healthcare.For these next-generation applications,there is a requirement for far-reaching privacy and security in the IoT.Recently,blockchain systems have emerged as a key technology that changes the way we exchange data.This emerging technology has revealed encouraging implementation scenarios,such as secured digital currencies.As a technical advancement,the blockchain network has the high possibility of transforming various industries,and the next-generation healthcare IoT(HIoT)can be one of those applications.There have been several studies on the integration of blockchain networks and IoT.However,blockchain-as-autility(BaaU)for privacy and security in HIoT systems requires a systematic framework.This paper reviews blockchain networks and proposes BaaU as one of the enablers.The proposed BaaU-based framework for trustworthiness in the next-generation HIoT systems is divided into two scenarios.The rst scenario suggests that a healthcare service provider integrates IoT sensors such as body sensors to receive and transmit information to a blockchain network on the IoT devices.The second proposed scenario recommends implementing smart contracts,such as Ethereum,to automate and control the trusted devices’subscription in the HIoT services. | Alaa Omran Almagrabi Rashid Ali Daniyal Alghazzawi Abdullah AlBarakati Tahir Khurshaid | 2021 | Computers, Materials & Continua2021，，7： | 0 |
| 20 | Prediction of the SARS-CoV-2 Derived T-Cell Epitopes’Response Against COVID Variants显示文摘TheCOVID-19 outbreak began in December 2019 andwas declared a global health emergency by the World Health Organization.The four most dominating variants are Beta,Gamma,Delta,and Omicron.After the administration of vaccine doses,an eminent decline in new cases has been observed.The COVID-19 vaccine induces neutralizing antibodies and T-cells in our bodies.However,strong variants likeDelta and Omicron tend to escape these neutralizing antibodies elicited by COVID-19 vaccination.Therefore,it is indispensable to study,analyze and most importantly,predict the response of SARS-CoV-2-derived t-cell epitopes against Covid variants in vaccinated and unvaccinated persons.In this regard,machine learning can be effectively utilized for predicting the response of COVID-derived t-cell epitopes.In this study,prediction of T-cells Epitopes’response was conducted for vaccinated and unvaccinated people for Beta,Gamma,Delta,and Omicron variants.The dataset was divided into two classes,i.e.,vaccinated and unvaccinated,and the predicted response of T-cell Epitopes was divided into three categories,i.e.,Strong,Impaired,and Over-activated.For the aforementioned prediction purposes,a self-proposed Bayesian neural network has been designed by combining variational inference and flow normalization optimizers.Furthermore,the Hidden Markov Model has also been trained on the same dataset to compare the results of the self-proposed Bayesian neural network with this state-of-the-art statistical approach.Extensive experimentation and results demonstrate the efficacy of the proposed network in terms of accurate prediction and reduced error. | Hassam Tahir Muhammad Shahbaz Khan Fawad Ahmed Abdullah M.Albarrak Sultan Noman Qasem Jawad Ahmad | 2023 | Computers, Materials & Continua2023，，5： | 0 |
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