|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Structural, morphological, Raman, optical, magnetic, and antibacterial characteristics of CeO2 nanostructures显示文摘In this study, CeO_2 nanostructures were synthesized by a soft chemical method. A hydrothermal treatment was observed to lead to an interesting morphological transformation of the nanoparticles into homogeneous microspheres composed of nanosheets with an average thickness of 40 nm. Structural analysis revealed the formation of a single-phase cubic fluorite structure of CeO_2 for both samples. A Raman spectroscopic study confirmed the XRD results and furthermore indicated the presence of a large number of oxygen vacancies in the nanosheets. These oxygen vacancies led to room-temperature ferromagnetism(RTFM) of the CeO_2 nanosheets with enhanced magnetic characteristics. Amazingly, the nanosheets exhibited substantially greater antibacterial activity than the nanoparticles. This greater antibacterial activity was attributed to greater exposure of high-surface-energy polar surfaces and to the presence of oxygen vacancies. | Fazal Abbas Javed Iqbal Tariq Jan Noor Badshah Qaisar Mansoor Muhammad Ismail | 2016 | International Journal of Minerals,Metallurgy and Materials2016，23，1： | 6 |
| 2 | A review on application of dielectric barrier discharge plasma technology on the abatement of volatile organic compounds显示文摘Volatile organic compounds(VOCs)released from the waste treatment facilities have become a significant issue because they are not only causing odor nuisance but may also hazard to human health.Non-thermal plasma(NTP)technologies are newly developed methods and became a research trend in recent years regarding the removal of VOCs from the air stream.Due to its unique characteristics,such as rapid response at room temperature,bulk homogenized volume,high reaction efficiency,dielectric barrier discharge(DBD)plasma technology is considered one of the most promising techniques of NTP.This paper reviews recent progress of DBD plasma technology for abatement of VOCs.The principle of plasma generation in DBD and its configurations(electrode,discharge gap,dielectric barrier material,etc.)are discussed in details.Based on previously published literature,attention has been paid on the effect of DBD configuration on the removal of VOCs.Effect of various process parameters such as initial concentration,gas feeding rate,oxygen content and input power on VOCs removal are also considered.Moreover,the role of catalysis and inhibitors in VOCs removal by DBD system are presented.Finally,a modified configuration of the DBD reactor,i.e.double dielectric barrier discharge(DDBD)for the abatement of VOCs is discussed.It was suggested that the DDBD plasma reactor could be used for higher conversion efficiency as well as for avoiding solid residue deposition on the electrode.These depositions can interfere with the performance of the reactor. | Wenjing Lu Yawar Abbas Muhammad Farooq Mustafa Chao Pan Hongtao Wang | 2019 | Frontiers of Environmental Science & Engineering2019，13，2： | 6 |
| 3 | 中国某高校留学生跨文化适应压力及其心理因素(英文)显示文摘目的调查留学生跨文化适应压力的检出率及其相关因素。同时了解留学生的生理、心理因素与社会适应及中国文化之间的相互作用。方法采用抑郁焦虑压力量表、修订版社会文化适应量表和留学生版跨文化适应量表调查某高校共100名来自9个不同国家的留学生。结果调查结果显示32%的留学生存在跨文化适应压力问题,排前两位的适应问题分别是思念家乡和饮食问题。同时,留学生也存在压力、抑郁和焦虑等心理问题,不同年级留学生的压力问题发生率分别为:大一9.6%、大二37.5%、大三10.6%、大四25%、大五25%。抑郁症状发生率分别为:大一28.6%、大二12.5%、大三5%、大四40%和大五31.2%。焦虑症状发生率分别为:大一52.3%、大二37.5%、大三12.1%、大四30%和大五28.1%。社会文化适应第一位障碍是语言问题,其次是留学生在中国文化下保留自己的风俗习惯和个人兴趣的问题。结论留学生的适应问题突出,高校有必要加强引导和制定相关政策,以便留学生更好的适应中国文化。 | Muhammad Zahid abbas 梁雪梅 刘可智 | 2014 | 四川精神卫生2014，27，2： | 6 |
| 4 | Microwave-assisted solvent extraction of castor oil from castor seeds显示文摘This study was aimed at evaluating the physicochemical properties and oxidation stability of castor oil using microwave-assisted solvent extraction(MAE). MAE was performed using 5% ethanol in hexane as solvent at different extraction times, power intensities and solvent-to-feed(S/F, ml of solvent to gram of feed) ratios.The process parameters were optimized by statistical approach using historical data design of response surface method(RSM). The oils were characterized for yield, physicochemical properties, dielectric properties and oxidation stability, and comparison was also made with oil extracted using Soxhlet method. Results show that the maximum oil yield of 37% was obtained at 20 min with microwave power intensity of 330 W and S/F ratio of 20. The main fatty acid composition of castor oil is ricinoleic acid. The density, refractive index, dielectric properties and oxidation stability of oils are not affected by the extraction methods and extraction parameters of MAE. However, the MAE-extracted oil is more viscous compared to that by Soxhlet method. With extra caution on oil oxidation, MAE could be a promising solvent extraction method with an 86% less in processing time and a higher yield. | Nur Atirah Ibrahim Muhammad Abbas Ahmad Zaini | 2018 | Chinese Journal of Chemical Engineering2018，26，12： | 4 |
| 5 | Gastric juice for the diagnosis of H pylori infection in patients on proton pump inhibitors显示文摘AIM: To determine the efficacy of gastric juice polymerase chain reaction (PCR) for the detection of H pylori infection in comparison with histology and gastric antral biopsy PCR in patients on a proton pump inhibitor (PPI). METHODS: Eighty-five consecutive patients with dyspeptic symptoms were enrolled. Gastric biopsies for histology, PCR and gastric juice were collected at endoscopy for PCR of the H pylori urease C gene (ure C). Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, positive and negative likelihood ratio for PCR of gastric juice for the H pylori ure C gene was compared to histology and gastric antral biopsy H pylori ure C PCR in patients with and without PPI. RESULTS: Gastric juice PCR was positive in 66 (78%) patients. Histology showed H pylori associated gastritis in 57 (67%). Gastric biopsy PCR was positive in 72 (85%). In patients not taking PPI, the sensitivity, specificity, PPV, NPV, accuracy and positive and negative likelihood ratio for gastric juice PCR were 89%, 72%, 91%, 67%, 90%, 85%, 3.1 and 0.1 respectively. In patients on PPI these values were 86%, 100%%, 100%, 29%, 86%, 9.5 and 1.4, respectively. CONCLUSION: Gastric juice PCR for the diagnosis of H pylori infection has increased sensitivity compared to histology with PPI. The use of gastric juice PCR is recommended to confirm H pylori status in patients taking PPIs. | Javed Yakoob Shahid Rasool Zaigham Abbas Wasim Jafri Shahab Abid Muhammad Islam Zubair Ahmad | 2008 | World Journal of Gastroenterology2008，14，10： | 4 |
| 6 | A framework for stochastic estimation of electric vehicle charging behavior for risk assessment of distribution networks显示文摘Power systems are being transformed to enhance the sustainability.This paper contributes to the knowledge regarding the operational process of future power networks by developing a realistic and stochastic charging model of electric vehicles(EVs).Large-scale integration of EVs into residential distribution networks(RDNs)is an evolving issue of paramount significance for utility operators.Unbalanced voltages prevent effective and reliable operation of RDNs.Diversified EV loads require a stochastic approach to predict EVs charging demand,consequently,a probabilistic model is developed to account several realistic aspects comprising charging time,battery capacity,driving mileage,state-of-charge,traveling frequency,charging power,and time-of-use mechanism under peak and off-peak charging strategies.An attempt is made to examine risks associated with RDNs by applying a stochastic model of EVs charging pattern.The output of EV stochastic model obtained from Monte-Carlo simulations is utilized to evaluate the power quality parameters of RDNs.The equipment capability of RDNs must be evaluated to determine the potential overloads.Performance specifications of RDNs including voltage unbalance factor,voltage behavior,domestic transformer limits and feeder losses are assessed in context to EV charging scenarios with various charging power levels at different penetration levels.Moreover,the impact assessment of EVs on RDNs is found to majorly rely on the type and location of a power network. | Salman HABIB Muhammad Mansoor KHAN Farukh ABBAS Muhammad NUMAN Yaqoob ALI Houjun TANG Xuhui YAN | 2020 | Frontiers in Energy2020，14，2： | 3 |
| 7 | Pam3CSK4 enhances adaptive immune responses to recombinant Mycobacterium bovis bacille Calmette-Guérin expressing Plasmodium falciparum C-terminus merozoite surface protein-1显示文摘Objective: To determine the effects of toll-like receptor 2(TLR-2) agonist, Pam3 CSK4, on cellular and humoral immune response against recombinant Mycobacterium bovis bacille Calmette-Guérin(rBCG) expressing the C-terminus of merozoite surface protein-1 of Plasmodium falciparum.Methods: Six groups of mice(n=6 per group) received intraperitoneal phosphate buffered saline T80(PBS-T80), BCG or rBCG in the presence or absence of Pam3 CSK4. Enzymelinked immunosorbent assay was carried out to measure serum total IgG, IgG1, IgG2 a, and Ig G2 b production. Spleens were also harvested and splenocytes were co-cultured with rBCG antigen for in vitro determination of IL-4 and IFN-γ via enzyme-linked immunosorbent assay.Results: The production of total IgG and the isotype IgG1, IgG2 a and IgG2 b was significantly higher in rBCG-immunised mice than in the BCG and PBS-T80-immunised mice, and Pam3 CSK4 further enhanced their productions. A similar pattern was also observed in IFN-γ production. Moreover, there was no significant difference in IL-4 production in all groups either in the presence or absence of Pam3 CSK4.Conclusions: We present evidence of the adjuvant effects of TLR-2 agonist in enhancing the production of total IgG, IgG1, IgG2 a, IgG2 b, as well as IFN-γ in response to rBCG. However, the presence or absence of Pam3 CSK4 had no effect on IL-4 production. | Mohamed H Abdikarim Muhammad A Abbas Munirah N Zakaria Robaiza Zakaria Rapeah Suppian | 2019 | Asian Pacific Journal of Tropical Biomedicine2019，9，7： | 3 |
| 8 | Antimicrobial chemical constituents from endophytic fungus Phoma sp.显示文摘Objective:To evaluate the antiniicrobial polenlial of different extracts of the endophytic fungus Phoma sp.and the tentative identification of their active constituents.Methods:The extract and compounds were screened for antimicrobial activity using the Agar Well Diffusion Method.Four compounds were purified using column chromatography and tlieir structures were assigned using~1H and~(13)C NMR spectra,DEPT,2D COSY,HMQC and HMBC experiments.Results:The ethyl acetate fraction of Phoma sp.showed good antifungal,antibacterial,and algicidal properties.One new dihydrofuran derivative,named phomafuranol(1),together with tliree known compounds,phomalacton(2),(3R)-5-hydroxymellein(3)and emodin(4)were isolated from the ethyl acetate fraction of Phoma sp.Preliminary studies indicated that phomalacton(2)displayed strong antibacterial,good antifungal and antialgal activities.Similarly(3R)-5-hydroxymellein(3)and emodin(4)showed good antifungal,antibacterial and algicidal properties.Conclusions:Antimicrobial activities of the ethyl acetate fraction of the endophytic fungus Phoma sp.and isolated compounds clearly demonstrate that Phoma sp.and its active compounds represent a great potential for the food,cosmetic and pharmaceutical industries. | Hidayat Hussain Ines Kock Ahmed Al-Harrasi Ahmed Al-Rawahi Ghulam Abbas Ivan R.Green Afzal Shah Amin Badshah Muhammad Saleem Siegfried Draeger Barbara Schulz Karsten Krohn | 2014 | Asian Pacific Journal of Tropical Medicine2014，7，9： | 3 |
| 9 | Orange dye polyaniline composite based impedance humidity sensors显示文摘This study presents the fabrication and investigation of humidity sensors based on orange dye (OD) and polyaniline (PANI) composite films. A blend of 3 wt.% OD with 1 wt.% PANI was prepared in 1 ml water. The composite films were deposited on glass substrates between pre-deposited silver electrodes. The gap between the electrodes was 45 μm. The sensing mechanism was based on the impedance and capacitance variations due to the absorption/desorption of water vapor. It was observed that with the increase in relative humidity (RH) from 30% to 90%, the impedance decreases by 5.2 × 10 4 and 8.8 × 10 3 times for the frequencies of 120 Hz and 1 kHz, respectively. The impedance-humidity relationship showed a more uniform change compared to the capacitance-humidity relationship in the RH range of 30% to 90%. The consequence of annealing, measuring frequency, response and recovery time, and absorption-desorption behavior of the humidity sensor were also discussed in detail. The annealing resulted in an increase in sensitivity of up to 2.5 times, while the measured response time and recovery time were 34 s and 450 s, respectively. The impedance-humidity relationship was simulated. | Muhammad Tariq Saeed Chani Kh. S. Karimov F. A. Khalid S. Z. Abbas M. B. Bhatty | 2013 | Chinese Physics B2013，22，1： | 3 |
| 10 | Simulation, Modeling, and Optimization of Intelligent Kidney Disease Predication Empowered with Computational Intelligence Approaches显示文摘Artificial intelligence(AI)is expanding its roots in medical diagnostics.Various acute and chronic diseases can be identified accurately at the initial level by using AI methods to prevent the progression of health complications.Kidney diseases are producing a high impact on global health and medical practitioners are suggested that the diagnosis at earlier stages is one of the foremost approaches to avert chronic kidney disease and renal failure.High blood pressure,diabetes mellitus,and glomerulonephritis are the root causes of kidney disease.Therefore,the present study is proposed a set of multiple techniques such as simulation,modeling,and optimization of intelligent kidney disease prediction(SMOIKD)which is based on computational intelligence approaches.Initially,seven parameters were used for the fuzzy logic system(FLS),and then twenty-five different attributes of the kidney dataset were used for the artificial neural network(ANN)and deep extreme machine learning(DEML).The expert system was proposed with the assistance of medical experts.For the quick and accurate evaluation of the proposed system,Matlab version 2019 was used.The proposed SMOIKD-FLSANN-DEML expert system has shown 94.16%accuracy.Hence this study concluded that SMOIKD-FLS-ANN-DEML system is effective to accurately diagnose kidney disease at initial levels. | Abdul Hannan Khan Muhammad Adnan Khan Sagheer Abbas Shahan Yamin Siddiqui Muhammad Aanwar Saeed Majed Alfayad Nouh Sabri Elmitwally | 2021 | Computers, Materials & Continua2021，，5： | 2 |
| 11 | 应用DNA甲基化芯片对胃癌组织基因组甲基化的分析显示文摘目的应用DNA甲基化芯片检测胃癌组织基因组甲基化情况。方法采用甲基化DNA免疫沉淀方法(MeDIP)结合DNA甲基化芯片对6例胃癌及其癌旁组织进行甲基化情况分析,寻找启动子区域和CpG岛中胃癌组织与癌旁组织的甲基化差异基因,并通过GeneOntology分析和Pathway分析了解这些甲基化差异基因的功能。结果在基因启动子区,存在于胃癌组织中的甲基化差异基因有113个(如SHP1、FGF8和CSF2RA等),存在于癌旁组织中的甲基化差异基因有161个(如TNF、IGF2和BMP7等)。在CpG岛,存在于胃癌组织中的甲基化差异基因有123个(如WNT2B、JAK2和T阿1等),存在于癌旁组织中的甲基化差异基因有139个(如TNFRSF4、HOXC8和NFYA等)。这些基因位于不同的染色体上,胃癌组织中以1号和4号染色体最多(11个),18号和20号染色体最少(1个);癌旁组织中以11号染色体最多(17个),而Y染色体未见甲基化差异基因。这些基因涉及的功能包括蛋白磷酸化、调节细胞分解代谢、离子转运、酶活性调节、转录调控、细胞分裂、细胞周期调节和信号转导等。结论胃癌组织与癌旁组织存在许多甲基化差异基因.这些甲基化差异基因位于不同染色体上,其个数和分布差异很大,与多条肿瘤相关通路有关。 | 彭涛 杨永江 赵轶峰 高建朝 Muhammad Abbas 王国强 孙虹 李曙光 | 2015 | 中华胃肠外科杂志2015，18，10： | 2 |
| 12 | Spatial cluster analysis of human cases of Crimean Congo hemorrhagic fever reported in Pakistan显示文摘Background:Crimean Congo hemorrhagic fever(CCHF)is a tick-borne viral zoonotic disease that has been reported in almost all geographic regions in Pakistan.The aim of this study was to identify spatial clusters of human cases of CCHF reported in country.Methods:Kulldorff’s spatial scan statisitc,Anselin’s Local Moran’s I and Getis Ord Gi*tests were applied on data(i.e.number of laboratory confirmed cases reported from each district during year 2013).Findings:The analyses revealed a large multi-district cluster of high CCHF incidence in the uplands of Balochistan province near it border with Afghanistan.The cluster comprised the following districts:Qilla Abdullah;Qilla Saifullah;Loralai,Quetta,Sibi,Chagai,and Mastung.Another cluster was detected in Punjab and included Rawalpindi district and a part of Islamabad.Conclusion:We provide empirical evidence of spatial clustering of human CCHF cases in the country.The districts in the clusters should be given priority in surveillance,control programs,and further research. | Tariq Abbas Muhammad Younus Sayyad Aun Muhammad | 2015 | Infectious Diseases of Poverty2015，4，1： | 2 |
| 13 | Papaya Ring Spot Virus:An Understanding of a Severe Positive-Sense Single Stranded RNA Viral Disease and Its Management显示文摘Viral diseases have been studied in-depth for reducing quality,yield,health and longevity of the fruit,to highlight the economic losses.Positive-sense single-stranded RNA viruses are more devastating among all viruses that infect fruit trees.One of the best examples is papaya ringspot virus(PRSV).It belongs to the genus Potyvirus and it is limited to cause diseases on the family Chenopodiaceae,Cucurbitaceae and Caricaceae.This virus has a serious threat to the production of papaya,which is famous for its high nutritional and pharmaceutical values.The plant parts such as leaves,latex,seeds,fruits,bark,peel and roots may contain the biological compound that can be isolated and used in pharmaceutical industries as a disease control.Viral disease symptoms consist of vein clearing and yellowing of young leaves.Distinctive ring spot patterns with concentric rings and spots on fruit reduce its quality and taste.The virus has two major strains P and W.The former cause disease in papaya and cucurbits while the later one in papaya.Virion comprises 94.4%protein,including a 36 kDa coat protein which is a component responsible for a non-persistent transmission through aphids,and 5.5%nucleic acid.Cross protection,development of transgenic crops,exploring the resistant sources and induction of pathogen derived resistance have been recorded as effective management of PRSV.Along with these practices reduced aphid population through insecticides and plant extracts have been found ecofriendly approaches to minimize the disease incidence.Adoption of transgenic crops is a big challenge for the success of disease resistant papaya crops.The aim of this review is to understand the genomic nature of PRSV,detection methods and the different advanced control methods.This review article will be helpful in developing the best management strategies for controlling PRSV. | Muhammad Umer Mustansar Mubeen Yasir Iftikhar Haider Ali Muhammad Zafar-ul-Hye Rafia Asghar Mazhar Abbas Malik Abdul Rehman Ernesto A.Moya-Elizondo Yuejun He | 2022 | Phyton-International Journal of Experimental Botany2022，91，10： | 1 |
| 14 | Intelligent Forecasting Model of COVID-19 Novel Coronavirus Outbreak Empowered with Deep Extreme Learning Machine显示文摘An epidemic is a quick and widespread disease that threatens many lives and damages the economy.The epidemic lifetime should be accurate so that timely and remedial steps are determined.These include the closing of borders schools,suspension of community and commuting services.The forecast of an outbreak effectively is a very necessary but difficult task.A predictive model that provides the best possible forecast is a great challenge for machine learning with only a few samples of training available.This work proposes and examines a prediction model based on a deep extreme learning machine(DELM).This methodology is used to carry out an experiment based on the recent Wuhan coronavirus outbreak.An optimized prediction model that has been developed,namely DELM,is demonstrated to be able to make a prediction that is fairly best.The results show that the new methodology is useful in developing an appropriate forecast when the samples are far from abundant during the critical period of the disease.During the investigation,it is shown that the proposed approach has the highest accuracy rate of 97.59%with 70%of training,30%of test and validation.Simulation results validate the prediction effectiveness of the proposed scheme. | Muhammad Adnan Khan Sagheer Abbas Khalid Masood Khan Mohammed AAl Ghamdi Abdur Rehman | 2020 | Computers, Materials & Continua2020，，9： | 1 |
| 15 | Empirical Analysis of Software Success Rate Forecasting During Requirement Engineering Processes显示文摘Forecasting on success or failure of software has become an interesting and,in fact,an essential task in the software development industry.In order to explore the latest data on successes and failures,this research focused on certain questions such as is early phase of the software development life cycle better than later phases in predicting software success and avoiding high rework?What human factors contribute to success or failure of a software?What software practices are used by the industry practitioners to achieve high quality of software in their day-to-day work?In order to conduct this empirical analysis a total of 104 practitioners were recruited to determine how human factors,misinterpretation,and miscommunication of requirements and decision-making processes play their roles in software success forecasting.We discussed a potential relationship between forecasting of software success or failure and the development processes.We noticed that experienced participants had more confidence in their practices and responded to the questionnaire in this empirical study,and they were more likely to rate software success forecasting linking to the development processes.Our analysis also shows that cognitive bias is the central human factor that negatively affects forecasting of software success rate.The results of this empirical study also validated that requirements’misinterpretation and miscommunication were themain causes behind software systems’failure.It has been seen that reliable,relevant,and trustworthy sources of information help in decision-making to predict software systems’success in the software industry.This empirical study highlights a need for other software practitioners to avoid such bias while working on software projects.Future investigation can be performed to identify the other human factors that may impact software systems’success. | Muhammad Hasnain Imran Ghani Seung Ryul Jeong Muhammad Fermi Pasha Sardar Usman Anjum Abbas | 2023 | Computers, Materials & Continua2023，，1： | 1 |
| 16 | Zr-pillared montmorillonite supported cobalt nanoparticles for Fischer–Tropsch synthesis显示文摘In this article Fischer–Tropsch(FT) synthesis was studied over cobalt nanoparticles supported on modifed Montmorillonite(Zr-PILC).Co-loaded/Zr-PILC catalysts were synthesized by hydrothermal methods and were characterized by XRD,XRF,BET,H2-TPR,TGA and SEM techniques.FT reactions were carried out in fxed bed microreactor(T 225 1C,260 1C and 275 1C,P 1,5 and 10 bars).The FT-products obtained over Co-loaded/Zr-PILC catalysts showed increased selectivity of C2–C12hydrocarbons and decreased selectivity towards CH4and higher molecular weight hydrocarbons(C21) at a TOS of 2–30 h as compared to the Co-loaded/NaMMT catalysts.With increase in reaction temperature from225 1C to 275 1C,CO-conversion and CH4selectivity increases while that of C5+hydrocarbons decreases.Decrease in CH4selectivity while increase in C5+hydrocarbons and CO-conversion were observed on increasing the pressure of reaction. | Nisar Ahmad Syed Tajammul Hussain Bakhtiar Muhammad Nisar Ali Syed Mustansar Abbas Zulfqar Ali | 2013 | Progress in Natural Science:Materials International2013，23，4： | 1 |
| 17 | In vitro and in vivo acaricidal activity of a herbal extract显示文摘 | Muhammad Arfan Zaman Zafar Iqbal Rao Zahid Abbas Muhammad Nisar Khan Ghulam Muhammad Muhammad Younus Sibtain Ahmed | 2011 | Veterinary Parasitology (-)2011，，3： | 1 |
| 18 | Effects of bismuth on structural and dielectric properties of cobalt-cadmium spinel ferrites fabricated via micro-emulsion route显示文摘Spinel ferrites have a significant role in high-tech applications.In the present work nano-crystalline ferrites having general formula Co0.5Cd0.5BixFe2-xO4 with(x=0.0,0.05,0.1,0.15,0.2,and 0.25)are synthesized via micro-emulsion route.Powder x-ray diffraction(XRD)studies discover the FCC spinel structure.Crystalline size is calculated in a range of 11 nm-15 nm.Lattice parameter calculations are reduced due to its substitution which leads to the exchange of large ionic radius of Fe^3+for small ionic radius of Bi^3+.The x-ray density is analyzed to increase with doping.Fourier transform infrared spectroscopy(FTIR)is performed to analyze absorption band spectra.The two absorption bands are observed in a range of 400 cm^-1-600 cm^-1,and they are the characteristic feature of spinel structure.Thermo-gravimetric analysis(TGA)reveals the total weight loss of nearly 1.98%.Dielectric analysis is carried out by impedance analyzer in a frequency span from 1 MHz to 3 GHz by using the Maxwell Wagner model.Dielectric studies reveal the decrease of dielectric parameters.The alternating current(AC)conductivity exhibits a plane behavior in a low frequency range and it increases with the applied frequency increasing.This is attributed to the grain effects in a high frequency range or may be due to the reduction of porosity.Real and imaginary part of impedance show the decreasing trend which corresponds to the grain boundary action.The imaginary modulus shows the occurrence of peak that helps to understand the interfacial polarization.Cole-Cole graph shows a single semicircle which confirms that the conduction mechanism is due to the grain boundaries at low frequency.Dielectric studies reveal the applicability of these ferrites in high frequency equipment,microwave applications,high storage media,and semiconductor devices. | Furhaj Ahmed Sheikh Muhammad Khalid Muhammad Shahzad Shifa H M Noor ul Huda Khan Asghar Sameen Aslam Ayesha Perveen Jalil ur Rehman Muhammad Azhar Khan Zaheer Abbas Gilani | 2019 | Chinese Physics B2019，28，8： | 1 |
| 19 | Alzheimer Disease Detection Empowered with Transfer Learning显示文摘Alzheimer’s disease is a severe neuron disease that damages brain cells which leads to permanent loss of memory also called dementia.Many people die due to this disease every year because this is not curable but early detection of this disease can help restrain the spread.Alzheimer’s ismost common in elderly people in the age bracket of 65 and above.An automated system is required for early detection of disease that can detect and classify the disease into multiple Alzheimer classes.Deep learning and machine learning techniques are used to solvemanymedical problems like this.The proposed system Alzheimer Disease detection utilizes transfer learning on Multi-class classification using brain Medical resonance imagining(MRI)working to classify the images in four stages,Mild demented(MD),Moderate demented(MOD),Non-demented(ND),Very mild demented(VMD).Simulation results have shown that the proposed systemmodel gives 91.70%accuracy.It also observed that the proposed system gives more accurate results as compared to previous approaches. | Taher M.Ghazal Sagheer Abbas Sundus Munir M.A.Khan Munir Ahmad Ghassan F.Issa Syeda Binish Zahra Muhammad Adnan Khan Mohammad Kamrul Hasan | 2022 | Computers, Materials & Continua2022，，3： | 1 |
| 20 | Implications of climate change on crop water requirements in arid region: An example of Al-Jouf, Saudi Arabia显示文摘 | Shakhawat Chowdhury Muhammad Al-Zahrani Abdullah Abbas | 2013 | Journal of King Saud University - Engineering Sciences2013，，： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员