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Fluid Dynamics & Materials Processing 2023年第3期19卷 663-677页

作者： tahir Naseem Iqra Bibi Azeem Shahzad mohammad Munir Department of Mathematics Government Postgraduate College Haripur22620Pakistan Basic Sciences Department University of Engineering and TechnologyTaxila47050Pakistan Department of Mathematics Government Postgraduate CollegeAbbottabad22010Pakistan

Heat transfer in an Eyring-Powell fluid that conducts electricity and flows past an exponentially growing sheet is *** the sheet is stretched in the x direction,the flow develops in the region with y>*** problem is tackled through a set of partial differential equations accounting for Magnetohydrodynamics(MHD),radiation and Joule heating effects,which are converted into a set of equivalent ordinary differential equations through a similarity *** converted problem is solved in MATLAB in the framework a fourth order accurate integration *** is found that the thermal relaxation period is inversely proportional to the thickness of the thermal boundary layer,whereas the Eckert-number displays the opposite *** this characteristic number grows,the temperature within the channel increases.

关键词： Stretched flow powell-eyring model heat flux model radiated effect relaxation phenomenon numerical study

Eradication Treatment of Helicobacter pylori Infection: Evaluation of Therapeutic Strategies in N’Djamena

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Open Journal of Gastroenterology 2024年第2期14卷 59-67页

作者： Mayanna Habkréo Ali Mahamat Moussa tahir Mahamat Saleh Djerabet Franckly Fany Haby Mairé Dehainssala Adama Ngaré Mahamat Ali Hachim Service de Medecine Interne et Gastroenterologie Centre Hospitalier Universitaire La Reference Nationale N’Djamena Tchad Service de Medecine Interne Centre Hospitalier Universitaire La Renaissance N’Djamena Tchad Service de Médecine Hopital de l’Amitié Tchad-Chine N’Djamena Tchad

Background: Helicobacter pylori (Hp) infection is the most widespread bacterial infection in the world. The infection is generally acquired in childhood, but can persist into adulthood. Eradication therapy has undergone several modifications. The aim of this study was to evaluate the different therapeutic strategies used in the eradication of Helicobacter pylori infection in the Centre Hospitalier Universitaire La Reference Nationale of N’Djaména. Patients and Methods: This was a prospective, descriptive analytical study spread over one year, from September 2021 to September 2022. Patients at least 15 years of age presenting with dyspeptic symptoms, seen consecutively in a hepato-gastroenterology consultation and with a positive stool test for H. pylori infection, were included in the study. Equally, 1/3 of patients were treated with dual or triple therapy. The remaining third received quadritherapy. Results: A total of 268 patients were included in the study (mean age 38.40 ± 14.66 with extremes of 16 and 80 years). Males predominated in 58% of cases. Overall therapeutic efficacy was 88.9%. According to different therapeutic strategies, efficacy was 90.75% for dual therapy with PPI (Rabeprazole) and Amoxicillin. On the other hand, efficacy was 87% and 88.88% for PPI-based triple therapy and dual antibiotic therapy, and for PPI-based quadruple therapy and triple antibiotic therapy. Conclusion: H. pylori infection is a common disease in Chad. Dual therapy with rabeprazole combined with a high dose of amoxicillin over a period of at least two weeks showed similar if not better efficacy than triple or quadruple therapy.

关键词： Helicobacter pylori Therapeutic Strategies Eradication Dyspepsia Chad

Improvement of Wolfberry(Lycium barbarum L.)Fruit Yield and Quality and Enhancement of Soil Fertility by Nitrogen Reduction Combined with Organic Fertilizers

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Journal of Agricultural Science and Technology(A) 2024年第1期14卷 1-18页

作者： Yajun Xin Congcong Li Tingting Xu Youliang Wang Rong Fu tahir Shah Shouzhong Xie Rong Zhang Haiyan Sheng Yajun Gao College of Natural Resources and Environment Northwest A&F UniversityYangling 712100ShaanxiChina State Key Laboratory of Plateau Ecology and Agriculture Qinghai UniversityXining 810016QinghaiChina Soil and Fertilizer Institute Academy of Agricultural and ForestryQinghai UniversityXining 810016QinghaiChina Nuomuhong Farm Dulan 816199QinghaiChina College of Agriculture and Animal Husbandry Qinghai UniversityXining 810016QinghaiChina

Excessive amounts of nitrogen(N)fertilizers are applied during wolfberry production,resulting in some soil problems as well as potential environmental risks in the Qinghai-Tibet *** this study,organic fertilizers were used to replace part of the N fertilizer in wolfberry fields with different fertility levels.N fertilizer rates had 0,50,100,150,200,and 250 g N/*** fertilizer rates had 0,2,4,6,8,and 10 kg organic fertilizer/*** experimental treatments included 6 combinations of N0M10,N50M8,N100M6,N150M4,N200M2,and control was *** results showed that in the high-fertility soils,combinations of N150M4,N100M6 and N50M8 treatments were increased in yields,fruit shape index,flavonoid content,total phenol content,mineral nutrient content,and antioxidant activity of wolfberry *** they were improved in soil fertility and decreased in residual nitrate through the soil depth of 0-300 *** the soil with less fertility,fruit yield,amino acid contents,flavonoids,total phenols,mineral nutrients and antioxidant activity of fruits were increased by the N200M2,N150M4 and N100M6 treatments and soil fertility was improved as *** more residual nitrate was found in the depth of 0-100 cm of soil with both chemical and organic fertilizer compared with the ***,in the Qinghai-Tibet Plateau,combining decreased N fertilizer with organic fertilizer rather than chemical fertilizer alone could help farmers achieve satisfactory yields and quality of wolfberry fruits and reduce the risk of nitrate *** conclusion,50-150 g/plant of N fertilizer combined with 4-8 kg/plant of organic fertilizer in high-fertility gardens and 100-200 g/plant of N fertilizer combined with 2-6 kg/plant of organic fertilizer in low-fertility gardens are recommended for wolfberry cultivation.

关键词： Wolfberry fruit quality antioxidant activity organic fertilizer nitrogen fertilizer

Constructing S-scheme 2D/0D g-C_(3)N_(4)/TiO_(2) NPs/MPs heterojunction with 2D-Ti3AlC2 MAX cocatalyst for photocatalytic CO_(2) reduction to CO/CH_(4) in fixed-bed and monolith photoreactors

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Journal of Materials Science & Technology 2022年第11期106卷 195-210页

作者： Muhammad tahir Beenish tahir Department of Chemical Engineering School of Chemical and Energy EngineeringUniversiti Teknologi Malaysia81310UTM Johor BahruMalaysia Chemical and Petroleum Engineering Department UAE UniversityP.O.Box 15551Al AinUnited Arab Emirates

Exfoliated 2D MAX Ti_(3) AlC_(2) conductive cocatalyst anchored with g-C_(3)N_(4)/TiO_(2) to construct 2D/0D/2D het-erojunction has been explored for enhanced CO_(2) photoreduction in a fixed-bed and monolith *** TiO_(2) particle sizes(NPs and MPs)were systematically investigated to determine effective metal-support interaction with faster charge carrier separation among the composite *** TiO_(2) NPs were anchored with 2D Ti_(3) AlC_(2) MAX structure,10.44 folds higher CH_(4) production was observed com-pared to anchoring TiO_(2) *** CH_(4) yield rate of 2103.5μmol g^(−1) h^(−1) achieved at selectivity 96.59%using ternary g-C_(3)N_(4)/TiO_(2)/Ti_(3) AlC_(2)2D/0D/2D composite which is 2.73 and 7.45 folds higher than using binary g-C_(3)N_(4)/Ti_(3) AlC_(2) MAX and TiO_(2) NPs/Ti_(3)AlC_(2) samples,respectively.A step-scheme(S-scheme)photocatalytic mechanism operates in this composite,suppressed the recombination of useful electron and holes and provides higher reduction potential for efficient CO_(2) conversion to CO and CH_(4).More im-portantly,when light intensity was increased by 5 folds,CH_(4) production rate was increased by 3.59 folds under visible *** performance of composite catalyst was further investigated in a fixed-bed and monolith photoreactor and found monolithic support increased CO production by 2.64 folds,whereas,53.99 times lower CH_(4) production was *** lower photocatalytic activity in a monolith photore-actor was due to lower visible light penetration into the ***,2D MAX Ti_(3) AlC_(2) composite catalyst can be constructed for selective photocatalytic CO_(2) methanation under visible light in a fixed-bed photoreactor.

关键词： Photocatalytic CO_(2)methanation Exfoliated 2D MAX Ti_(3)AlC_(2) g-C_(3)N_(4)/TiO_(2) Fixed-bed reactor,Monolith photoreactor Solar energy

Fusion of Infrared and Visible Images Using Fuzzy Based Siamese Convolutional Network

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Computers, Materials & Continua 2022年第3期70卷 5503-5518页

作者： Kanika Bhalla Deepika Koundal Surbhi Bhatia mohammad Khalid Imam Rahmani Muhammad tahir Department of Electrical Engineering National Taipei University of TechnologyTaipei10608Taiwan Department Virtualization School of Computer ScienceUniversity of Petroleum&Energy StudiesDehradunIndia College of Computer Science and Information technology King Faisal University36362Saudi Arabia College of Computing and Informatics Saudi Electronic UniversityRiyadh11673Saudi Arabia

Traditional techniques based on image fusion are arduous in integrating complementary or heterogeneous infrared(IR)/visible(VS)*** in various kind of features in these images are vital to preserve in the single fused ***,simultaneous preservation of both the aspects at the same time is a challenging ***,most of the existing methods utilize the manual extraction of features;and manual complicated designing of fusion rules resulted in a blurry artifact in the fused ***,this study has proposed a hybrid algorithm for the integration of multi-features among two heterogeneous ***,fuzzification of two IR/VS images has been done by feeding it to the fuzzy sets to remove the uncertainty present in the background and object of interest of the ***,images have been learned by two parallel branches of the siamese convolutional neural network(CNN)to extract prominent features from the images as well as high-frequency information to produce focus maps containing source image ***,the obtained focused maps which contained the detailed integrated information are directly mapped with the source image via pixelwise strategy to result in fused *** parameters have been used to evaluate the performance of the proposed image fusion by achieving 1.008 for mutual information(MI),0.841 for entropy(EG),0.655 for edge information(EI),0.652 for human perception(HP),and 0.980 for image structural similarity(ISS).Experimental results have shown that the proposed technique has attained the best qualitative and quantitative results using 78 publically available images in comparison to the existing discrete cosine transform(DCT),anisotropic diffusion&karhunen-loeve(ADKL),guided filter(GF),random walk(RW),principal component analysis(PCA),and convolutional neural network(CNN)methods.

关键词： Convolutional neural network fuzzy sets infrared and visible image fusion deep learning

Tuberculosis in the Carcinal Environment in Chad Due to the Mycobacterium Tuberculosis Circulante Complex

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Journal of Biosciences and Medicines 2024年第2期12卷 214-224页

作者： Ahmat Idriss Ahmat Mahamat tahir Ngaré Hassan Ngandolo Bongo Nare Richard Mahamat Adanao Adoudou Mbah Ntepe Leonel Javeres Hamidou Yacoubou Ali Mahamat Moussa Laboratory for Diagnostic Research and Scientific Expertise University of N’Djamena N’Djamena Chad Veterinary and Zootechnical Research Laboratory of Farcha N’Djamena Livestock and Development Research Institute N’Djamena Chad Institute of Medical Research and Medicinal Plant Studies (IMPM) Ministry of Scientific Research and Innovation Yaoundé Cameroon Cameroon Ministry of Public Health Yaoundé Cameroon Faculty of Human Health Sciences University of N’Djamena N’Djamena Chad

Tuberculosis (TB) is a serious infectious disease and its control is considered a challenge, particularly among vulnerable populations such as prisoners. The prevalence of TB in prisons is an alarming public health problem in many countries. The aim of this study is to describe the epidemiology of tuberculosis and the strategies for controlling this disease in the Chadian prison population. During the course of our study, the prevalence of tuberculosis in prisons was 9.64%. The age group between 55 years and over (43.33%) was the most represented in this study, and all patients were men with a frequency of 62.66%. The cross-tabulation of Culture_7H9G and Culture_7H9P showed that out of our total positive sample, we found a total of 87 positive strains and 63 negative strains. Our study shows that it is essential to know the prevalence of tuberculosis in all the country’s prisons. Indeed, this can serve as an indication of the need for action in prisons to reduce TB rates, in particular by improving the structure of prison environments, diagnosing new cases quickly and accurately, identifying drug-resistant strains and implementing effective, direct treatment observed in people with tuberculosis.

关键词： Mycobacterium Prison Tuberculosis and Chad

Automated Classification of Snow-Covered Solar Panel Surfaces Based on Deep Learning Approaches

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Computer Modeling in Engineering & Sciences 2023年第9期136卷 2291-2319页

作者： Abdullah Ahmed Al-Dulaimi Muhammet tahir Guneser Alaa Ali Hameed mohammad Shukri Salman Department of Electrical and Electronics Engineering Karabuk UniversityKarabuk78100Turkey Department of Computer Engineering Istinye UniversityIstanbul34303Turkey College of Engineering and Technology American University of the Middle EastEgaila54200Kuwait

Recently,the demand for renewable energy has increased due to its environmental and economic *** panels are the mainstay for dealing with solar energy and converting it into another form of usable *** 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 ***,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 ***,it causes an insulating layer on solar panels and the inability to produce electrical *** 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 *** 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 *** 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 ***,the dataset was replicated using the upsampling technique in order to handle the unbalancing *** conducted dataset is divided into three different categories,namely;all_snow,no_snow,and partial *** fivemodels are trained,validated,and tested on this dataset under the same conditions 60%training,20%validation,and testing 20%for both *** accuracy of the models has been compared and verified to distinguish and classify the processed *** accuracy results in the first case showthat the comparedmodels■-16,■-19,ESNET-18,and ESNET-50 give 0.9592,while ESNET-101 gives *** the second case,the models outperformed their counterparts in the first case by evaluating performan

关键词： Deep learning CNN models image classification solar panels solar panel defect detection

Innovative Fungal Disease Diagnosis System Using Convolutional Neural Network

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Computers, Materials & Continua 2022年第12期73卷 4869-4883页

作者： tahir Alyas Khalid Alissa Abdul Salam mohammad Shazia Asif Tauqeer Faiz Gulzar Ahmed Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Networks and Communications Department College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of General Education Skyline University CollegeUniversity City of SharjahUAE Higher Colleges of Technology Abu DhabiUAE Department of Enterprise Computing Skyline University CollegeSharjahUAE Department of Computer Science University of South AsiaLahore54000Pakistan

Fungal disease affects more than a billion people worldwide,resulting in different types of fungus diseases facing life-threatening *** outer layer of your body is called the integumentary *** skin,hair,nails,and glands are all part of *** organs and tissues serve as your first line of defence against bacteria while protecting you from harm and the *** It serves as a barrier between the outside world and the regulated environment inside our bodies and a regulating ***,light,damage,and illness are all protected by ***-caused infections are found in almost every part of the natural *** an invasive fungus takes over a body region and overwhelms the immune system,it causes fungal infections in *** primary goal of this study was to create a Convolutional Neural Network(CNN)-based technique for detecting and classifying various types of fungal *** are numerous fungal illnesses,but only two have been identified and classified using the proposed Innovative Fungal Disease Diagnosis(IFDD)system of Candidiasis and Tinea *** paper aims to detect infected skin issues and provide treatment recommendations based on proposed system *** identify and categorize fungal infections,deep machine learning techniques are utilized.A CNN architecture was created,and it produced a promising outcome to improve the proposed system *** collected findings demonstrated that CNN might be used to identify and classify numerous species of fungal spores early and estimate all conceivable fungus *** CNN-Based can detect fungal diseases through medical images;earmarked IFDD system has a predictive performance of 99.6%accuracy.

关键词： Deep machine learning CNN ReLU skin disease fungal

Quantum Particle Swarm Optimization Based Convolutional Neural Network for Handwritten Script Recognition

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Computers, Materials & Continua 2022年第6期71卷 5855-5873页

作者： Reya Sharma Baijnath Kaushik Naveen Kumar Gondhi Muhammad tahir mohammad Khalid Imam Rahmani School of Computer Science and Engineering SMVDUJ&KIndia College of Computing and Informatics Saudi Electronic UniversityRiyadhSaudi Arabia

Even though several advances have been made in recent years,handwritten script recognition is still a challenging task in the pattern recognition *** field has gained much interest lately due to its diverse application ***,different methods are available for automatic script *** most of the reported script recognition techniques,deep neural networks have achieved impressive results and outperformed the classical machine learning ***,the process of designing such networks right from scratch intuitively appears to incur a significant amount of trial and error,which renders them *** approach often requires manual intervention with domain expertise which consumes substantial time and computational *** alleviate this shortcoming,this paper proposes a new neural architecture search approach based on meta-heuristic quantum particle swarm optimization(QPSO),which is capable of automatically evolving the meaningful convolutional neural network(CNN)*** computational experiments have been conducted on eight different datasets belonging to three popular Indic scripts,namely Bangla,Devanagari,and Dogri,consisting of handwritten characters and ***,the results imply that the proposed QPSO-CNN algorithm outperforms the classical and state-of-the-art methods with faster prediction and higher accuracy.

关键词： Neuro-evolution quantum particle swarm optimization deep learning convolutional neural networks handwriting recognition

Two-Mode Biomedical Sensor Build-up:Characterization of Optical Amplifier

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Computers, Materials & Continua 2022年第3期70卷 5487-5501页

作者： Usman Masud Fathe Jeribi Mohammed Alhameed Faraz Akram Ali tahir mohammad Yousaf Naudhani Faculty of Electrical and Electronics Engineering University of Engineering and TechnologyTaxila47050Pakistan Department of Electrical Communication Engineering University of KasselKassel34127Germany College of Computer Science&Information Technology Jazan UniversityJazan45142Saudi Arabia Faculty of Engineering and Applied Sciences Riphah International UniversityIslamabad44000Pakistan Faculty of Information&Communication Technology Balochistan University of Information TechnologyEngineering and Management SciencesQuetta

Intracavity absorption spectroscopy is a strikingly sensitive technique that has been integrated with a two-wavelength setup to develop a sensor for human *** factors are considered in such a scenario,out of which Relative Intensity Noise(RIN)has been exploited as an important parameter to characterize and calibrate the said *** the performance of an electrical based assessment arrangement which has been developed in the laboratory as an alternative to the expensive Agilent setup,the optical amplifier plays a pivotal role in its development and operation,along with other components and their ***,the investigation and technical analysis of the amplifier in the system has been explored in *** algorithm developed for the automatic measurements of the system has been effectively deployed in terms of the laser’s *** this in perspective,a frequency dependent calibration has been pursued in depth with this scheme which enhances the sensor’s efficiency in terms of its *** this way,our investigation helps us in a better understanding and implementation perspective of the proposed system,as the outcomes of our analysis adds to the precision and accuracy of the entire system.

关键词： Biomedical sensor cavity optomechanics spectroscopy relative intensity noise semiconductor laser diode