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Advances and challenges of methanol-tolerant oxygen reduction reaction electrocatalysts for the direct methanol fuel cell

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Journal of Energy Chemistry 2023年第2期77卷 499-513,I0013页

作者： muhammad Aizaz Ud Din muhammad Idrees Sidra Jamil Syed Irfan Ghazanfar Nazir muhammad ahmad mudassir muhammad Shahrukh Saleem Saima Batool Nanpu Cheng Rahman Saidur School of Materials and Energy Southwest UniversityChongqing 400715China Additive Manufacturing Institute College of Mechatronics and Control EngineeringShenzhen UniversityShenzhen 518060GuangdongChina Chongqing Key Lab for Advanced Materials and Clean Energies of Technologies School of Materials and EnergySouthwest UniversityChongqing 400715China School of Materials Science and Engineering Dongguan University of TechnologyDongguan 523808GuangdongChina Department of Nanotechnology and Advanced Materials Engineering Sejong UniversitySeoul 05006Republic of Korea Department of Chemistry Khawaja Fareed University of Engineering and Information TechnologyRahim Yar Khan 64200Pakistan Laboratory for High Performance Ceramics EmpaSwiss Federal Laboratories for Materials Science and Technology8600 DübendorfSwitzerland Institute for Advanced Study Shenzhen UniversityShenzhen 518060GuangdongChina Research Centre for Nano-Materials and Energy Technology School of Engineering and TechnologySunway UniversityBandar SunwayMalaysia Department of Engineering Lancaster UniversityLancasterUnited Kingdom

Methanol cross-over effects from the anode to the cathode are important parameters for reducing catalytic performance in direct methanol fuel cells.A promising candidate catalyst for the cathode in direct methanol fuel cells must have excellent activity toward oxygen reduction reaction and resistance to methanol oxidation *** review focuses on the methanol tolerant noble metal-based electrocatalysts,including platinum and palladium-based alloys,noble metal–carbon based composites,transition metal-based catalysts,carbon-based metal catalysts,and metal-free *** understanding of the correlation between the activity and the synthesis method,electrolyte environment and stability issues are *** the transition metal-based catalyst,their activity,stability and methanol tolerance in direct methanol fuel cells and comparisons with those of platinum are particularly ***,strategies to enhance the methanol tolerance and hinder the generation of mixed potential in direct methanol fuel cells are also *** review provides a perspective for future developments for the scientist in selecting suitable methanol tolerate catalyst for oxygen reduction reaction and designing high-performance practical direct methanol fuel cells.

关键词： Oxygen reducing reaction Methanol tolerant electrocatalyst Portable power sources Direct methanol Fuel cell

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Artificial Intelligence Prediction of One-Part Geopolymer Compressive Strength for Sustainable Concrete

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Computer Modeling in Engineering & Sciences 2024年第10期141卷 525-543页

作者： Mohamed Abdel-Mongy mudassir Iqbal M.Farag Ahmed.M.Yosri Fahad Alsharari Saif Eldeen A.S.Yousef Department of Civil Engineering College of EngineeringJouf UniversitySakaka72388Saudi Arabia Department of Civil Engineering University of Engineering and TechnologyPeshawar54890Pakistan Civil Engineering Department Faculty of EngineeringAl-Azhar UniversityCairo11884Egypt Civil Engineering Department Faculty of EngineeringAswan UniversityAswan81528Egypt

Alkali-activated materials/geopolymer(AAMs),due to their low carbon emission content,have been the focus of recent studies on ecological *** terms of performance,fly ash and slag are preferredmaterials for precursors for developing a one-part ***,determining the optimum content of the input parameters to obtain adequate performance is quite challenging and scarcely ***,in this study,machine learning methods such as artificial neural networks(ANN)and gene expression programming(GEP)models were developed usingMATLAB and GeneXprotools,respectively,for the prediction of compressive strength under variable input materials and content for fly ash and slag-based one-part *** database for this study contains 171 points extracted from literature with input parameters:fly ash concentration,slag content,calcium hydroxide content,sodium oxide dose,water binder ratio,and curing *** performance of the two models was evaluated under various statistical indices,namely correlation coefficient(R),mean absolute error(MAE),and rootmean square error(RMSE).In terms of the strength prediction efficacy of a one-part geopolymer,ANN outperformed *** and parametric analysis were also performed to identify the significant contributor to *** to a sensitivity analysis,the activator and slag contents had the most effects on the compressive strength at 28 *** water binder ratio was shown to be directly connected to activator percentage,slag percentage,and calcium hydroxide percentage and inversely related to compressive strength at 28 days and curing temperature.

关键词： Artificial intelligence techniques one-part geopolymer artificial neural network gene expression modelling sustainable construction polymers

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Smart tailoring of molecular catalysts:Mounting approach to oxygen reduction reaction

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Journal of Materials Science & Technology 2024年第1期168卷 169-184页

作者： Anuj Kumar Mohd Ubaidullah Guoxin Zhang Jasvinder Kaur Saira Ajmal mudassir Hasan Krishna Kumar Yadav Hafiz M.Adeel Sharif Ram K.Gupta Ghulam Yasin Nano-Technology Research Laboratory Department of ChemistryGLA UniversityMathuraUttar Pradesh 281406India Department of Chemistry College of ScienceKing Saud UniversityRiyadh 11451Saudi Arabia Department of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdaoShandong 266590China Institute for Advanced Study Shenzhen UniversityShenzhenGuangdong 518060China Department of Chemistry Kansas Polymer Research CenterPittsburg State UniversityPittsburgKS 66762United States Faculty of Science and Technology Madhyanchal Professional UniversityRatibadBhopal 462044India Environmental and Atmospheric Sciences Research Group Scientific Research CenterAl-Ayen UniversityThi-QarNasiriyah 64001Iraq Department of Chemical Engineering King Khalid University Saudi Arabia Department of Chemistry School of SciencesIFTM UniversityMoradabadUttar Pradesh 244102India Research Center for Eco-Environmental Engineering Dongguan University of TechnologyDongguan 523808China School of Environment and Civil Engineering Dongguan University of TechnologyDongguanGuangdong 523808China

Efficient electrocatalytic rupture of energy-rich molecules(H_(2)and O_(2))is a green approach for gener-ating clean energy for modern *** this context,porphyry-type molecular electrocatalysts act intelligently toward oxygen reduction reaction(ORR),a fundamental process in fuel cells,due to their redox-rich chemistry,which involves core metal ions and macrocyclic *** concerned scientific community has tried many times to correlate the ORR intermediates with their formation kinetics and simplify the associated multi H+/e-stages during the ORR process,constructing several volcano plots be-tween catalytic Tafel data,turnover frequencies,and overpotentials for many *** the fact that many review articles on molecular electrocatalysts for ORR have been published,understanding the strategic implications and molecular catalyst intelligence towards homogenous ORR has been poorly *** review examined the relationships between volcano plots of current *** parameters and the Sabatier principle in order to explain the intelligence of molecular electrocatalysts and approaches for their creation,as well as the difficulties and potential prospects of molecular *** facts distinguish this review from previously published articles and will pique the scien-tific community’s interest in avoiding trial-and-error procedures for catalyst creation while also allowing for more exact evaluations of the molecular catalyst’s performance.

关键词： Electrocatalysis Molecular catalysts Oxygen reduction reaction Sabatier principle

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Impact of Artificial Intelligence on Corporate Leadership

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Journal of Computer and Communications 2024年第4期12卷 40-48页

作者： Daniel Schilling Weiss Nguyen mudassir Mohiddin Shaik School of Business and Technology (SBT) Aspen University Phoenix Arizona USA Information Technology Indiana Wesleyan University Indianapolis Indiana USA

Artificial Intelligence (AI) is transforming organizational dynamics, and revolutionizing corporate leadership practices. This research paper delves into the question of how AI influences corporate leadership, examining both its advantages and disadvantages. Positive impacts of AI are evident in communication, feedback systems, tracking mechanisms, and decision-making processes within organizations. AI-powered communication tools, as exemplified by Slack, facilitate seamless collaboration, transcending geographical barriers. Feedback systems, like Adobe’s Performance Management System, employ AI algorithms to provide personalized development opportunities, enhancing employee growth. AI-based tracking systems optimize resource allocation, as exemplified by studies like “AI-Based Tracking Systems: Enhancing Efficiency and Accountability.” Additionally, AI-powered decision support, demonstrated during the COVID-19 pandemic, showcases the capability to navigate complex challenges and maintain resilience. However, AI adoption poses challenges in human resources, potentially leading to job displacement and necessitating upskilling efforts. Managing AI errors becomes crucial, as illustrated by instances like Amazon’s biased recruiting tool. Data privacy concerns also arise, emphasizing the need for robust security measures. The proposed solution suggests leveraging Local Machine Learning Models (LLMs) to address data privacy issues. Approaches such as federated learning, on-device learning, differential privacy, and homomorphic encryption offer promising strategies. By exploring the evolving dynamics of AI and leadership, this research advocates for responsible AI adoption and proposes LLMs as a potential solution, fostering a balanced integration of AI benefits while mitigating associated risks in corporate settings.

关键词： Artificial Intelligence (AI) Corporate Leadership Communication Feedback Systems Tracking Mechanisms Decision-Making Local Machine Learning Models (LLMs) Federated Learning On-Device Learning Differential Privacy Homomorphic Encryption

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Computer Oriented Numerical Scheme for Solving Engineering Problems

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Computer Systems Science & Engineering 2022年第8期42卷 689-701页

作者： mudassir Shams Naila Rafiq Nasreen Kausar Nazir ahmad Mir ahmad Alalyani Department of Mathematica and Statistics Riphah International UniversityI-14Islamabad 44000Pakistan Department of Mathematics NUMLIslamabad 44000Pakistan Department of Mathematics Yildiz Technical UniversityFaculty of Arts and ScienceEsenler34210IstanbulTurkey Department of Mathematics Faculty of Science and Arts in ALmandaqAl-Baha UniversityAl-BahaSaudi Arabia

In this study,we construct a family of single root finding method of optimal order four and then generalize this family for estimating of all roots of non-linear equation *** analysis proves that the local order of convergence is four in case of single root finding iterative method and six for simultaneous determination of all roots of non-linear *** non-linear equations are taken from physics,chemistry and engineering to present the performance and efficiency of the newly constructed *** real world applications are taken from fluid mechanics,i.e.,fluid permeability in biogels and biomedical engineering which includes blood Rheology-Model which as an intermediate result give some nonlinear *** non-linear equations are then solved using newly developed simultaneous iterative *** developed simultaneous iterative schemes reach to exact values on initial guessed values within given tolerance,using very less number of function evaluations in each *** convergence order of single root finding method is computed using *** computational order of convergence,CPU-time,absolute residuals errors are calculated to elaborate the efficiency,robustness and authentication of the iterative simultaneous method in its domain.

关键词： Biomedical engineering convergence order iterative method CPU-time simultaneous method

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Deep Learning-Enhanced Brain Tumor Prediction via Entropy-Coded BPSO in CIELAB Color Space

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Computers, Materials & Continua 2023年第11期77卷 2031-2047页

作者： mudassir Khalil muhammad Imran Sharif Ahmed Naeem muhammad Umar Chaudhry Hafiz Tayyab Rauf Adham E.Ragab Department of Computer Engineering Bahauddin Zakariya UniversityMultan60000Pakistan Department of Computer Science Kansas State UniversityManhattanKS66506USA Department of Computer Science University of Management and TechnologyLahore54000Pakistan Centre for Smart Systems AI and CybersecurityStaffordshire UniversityStoke-on-TrentST42DEUK Industrial Engineering Department Collage of EngineeringKing Saud UniversityPO Box 800Riyadh11421Saudi Arabia

Early detection of brain tumors is critical for effective treatment *** tumors in their nascent stages can significantly enhance the chances of patient *** there are various types of brain tumors,each with unique characteristics and treatment protocols,tumors are often minuscule during their initial stages,making manual diagnosis challenging,time-consuming,and potentially *** techniques predominantly used in hospitals involve manual detection via MRI scans,which can be costly,error-prone,and *** automated system for detecting brain tumors could be pivotal in identifying the disease in its earliest *** research applies several data augmentation techniques to enhance the dataset for diagnosis,including rotations of 90 and 180 degrees and inverting along vertical and horizontal *** CIELAB color space is employed for tumor image selection and ROI *** deep learning models,such as DarkNet-53 and AlexNet,are applied to extract features from the fully connected layers,following the feature selection using entropy-coded Particle Swarm Optimization(PSO).The selected features are further processed through multiple SVM kernels for *** study furthers medical imaging with its automated approach to brain tumor detection,significantly minimizing the time and cost of a manual *** method heightens the possibilities of an earlier tumor identification,creating an avenue for more successful treatment planning and better overall patient outcomes.

关键词： Brain tumor deep learning feature extraction feature selection feature fusion transfer learning

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Corrigendum to“The effective transfection of a low dose of negatively charged drug-loaded DNA-nanocarriers into cancer cells via scavenger receptors”[Journal of Pharmaceutical Analysis volume 11(2021)174e182]

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Journal of Pharmaceutical Analysis 2022年第4期12卷 698-700页

作者： Mirza muhammad Faran Ashraf Baig Chengfei Zhang muhammad Furqan Akhtar Ammara Saleem Jahanzeb mudassir Laboratory of Biomedical&Pharmaceutical Engineering of Stem Cells Research Restorative Dental SciencesFaculty of DentistryThe University of Hong KongHong Kong999077PR China State Key Laboratory of Analytical Chemistry for Life Sciences School of Chemistry and Chemical EngineeringNanjing UniversityNanjing210023PR China Faculty of Pharmacy Bahauddin Zakariya UniversityMultan 60000Pakistan Riphah Institute of Pharmaceutical Sciences Riphah International UniversityLahorePakistan Department of Pharmacology Faculty of Pharmaceutical SciencesGovernment College University FaisalabadFaisalabadPakistan

The authors regret to inform that Figs.4,6,and 7 in the original article were wrongly *** corrected figures appear below:The authors would like to apologize for any inconvenience caused.

关键词： Cor loaded cancer

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Seed Priming and Foliar Supplementation withβ-aminobutyric Acid Alleviates Drought Stress through Mitigation of Oxidative Stress and Enhancement of Antioxidant Defense in Linseed(Linum usitatissimum L.)

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Phyton-International Journal of Experimental Botany 2023年第11期92卷 3113-3131页

作者： Tauqeer ahmad Yasir muhammad Ateeq Allah Wasaya Mubshar Hussain Naeem Sarwar Khuram Mubeen mudassir Aziz muhammad Aamir Iqbal Chukwuma COgbaga Ibrahim Al-Ashkar Md Atikur Rahman Ayman El Sabagh Department of Agronomy University of LayyahLayyah31200Pakistan Department of Agronomy Bahauddin Zakariya UniversityMultan60000Pakistan State Key Lab of Crop Stress Biology for Arid Areas College of AgronomyNorthwest A&F UniversityYangling712100China Department of Agronomy MNS University of AgricultureMultan60000Pakistan Department of Agronomy Faculty of AgricultureUniversity of Poonch RawalakotRawalakot10250Pakistan Independent Researcher MiddlesbroughNorth YorkshireUK Plant Production Department College of Food and Agriculture SciencesKing Saud UniversityP.O.Box 2460Riyadh11451Saudi Arabia Grassland and Forage Division National Institute of Animal ScienceRural Development AdministrationCheonan31000Korea Department of Field Crops Faculty of AgricultureSiirt UniversitySiirt56100Turkey Department of Agronomy Faculty of AgricultureKafrelsheikh UniversityKafr El-Shaikh33516Egypt

Drought is one of the critical limitations to agricultural soils and crop *** of water is increasing due to climate change that lead to increasing threats to global food ***,ecofriendly and cost effective strategies are highly desirable for mitigating drought stress along with sustainable and smart agricultural *** aim of the study was to mitigate DS using seed priming and exogenous supplementation ofβ-aminobutyric acid(BABA)in linseed(Linum usitatissimum L.).Different doses(0,50,100 and 150μM)of BABA were used for seed priming agent and foliar spraying under three soil moisture levels viz.,25%(SM25),45%(SM45)and 65%(SM65).The response variables of both experiments included different agro-botanical traits and oxidative stress indicators such as melondialdehyde content,free proline accumulation,and antioxidant defense in *** linseed plants showed water stress at SM25 that reduced plant height,number of branches per plant,time taken to flower initiation and heading,and root and shoot dry ***,the number of capsules and seeds per capsule showed a significant decline at SM25,which led to a drastic reduction in 100-seed weight yield in linseed plants in both ***,seed priming and foliar supplementation with of BABA(50–100μM)significantly improved these morpho-agronomical attributes in linseed plants under *** results revealed that the BABA was fully active in linseed plants at ***,the combination of SM25 with BABA significantly improved the antioxidant enzymes superoxide dismutase(SOD),catalase(CAT),ascorbate peroxidase(APX),and peroxidase(POD)activity,which significantly enhanced DS tolerance in linseed *** findings might be useful to oil seed breeders and farmers linseed for breeding program in linseed plants as well as sustainable agricultural production of oil seed crop plants.

关键词： Linseed water stress signaling molecule climate change biostimulant ecofriendly approach sustainable agricultural

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Durability evaluation of GFRP rebars in harsh alkaline environment using optimized tree-based random forest model

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Journal of Ocean Engineering and Science 2022年第6期7卷 596-606页

作者： mudassir Iqbal Daxu Zhang Fazal E.Jalal State Key Laboratory of Ocean Engineering Shanghai Key Laboratory for Digital Maintenance of Buildings and InfrastructureSchool of Naval ArchitectureOcean&Civil EngineeringShanghai Jiao Tong UniversityShanghai 200240China Department of Civil Engineering University of Engineering and Technology PeshawarPakistan

GFRP bars reinforced in submerged or moist seawater and ocean concrete is subjected to highly alkaline *** investigating the durability of GFRP bars in alkaline environment,the effect of surrounding temperature and conditioning duration on tensile strength retention(TSR)of GFRP bars is well investigated with laboratory aging of GFRP ***,the role of variable bar size and volume fraction of fiber have been poorly ***,various structural codes recommend the use of an additional environmental reduction factor to accurately reflect the long-term performance of GFRP bars in harsh *** study presents the development of Random Forest(RF)regression model to predict the TSR of laboratory conditioned bars in alkaline environment based on a reliable database comprising 772 tested *** model was optimized,trained,and validated using variety of statistical checks available in the *** developed RF model was used for the sensitivity and parametric ***,the formulated RF model was used for studying the long-term performance of GFRP rebars in the alkaline concrete *** sensitivity analysis exhibited that temperature and pH are among the most influential attributes in TSR,followed by volume fraction of fibers,duration of conditioning,and diameter of the bars,*** bars with larger diameter and high-volume fraction of fibers are less susceptible to degradation in contrast to the small diameter bars and relatively low fiber’s volume ***,the long-term performance revealed that the existing recommendations by various codes regarding environmental reduction factors are conservative and therefore needs revision accordingly.

关键词： GFRP Seawater and sea sand concrete Durability Mechanical properties Degradation

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Stable Computer Method for Solving Initial Value Problems with Engineering Applications

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Computer Systems Science & Engineering 2023年第6期45卷 2617-2633页

作者： mudassir Shams Nasreen Kausar Ebru Ozbilge Alper Bulut Department of Mathematics and Statistics Riphah International UniversityI-14Islamabad44000Pakistan Department of Mathematics Yildiz Technical UniversityFaculty of Arts and ScienceEsenler34210IstanbulTurkey Department of Mathematics&Statistics American University of the Middle EastEgaila54200Kuwait

Engineering and applied mathematics disciplines that involve differential equations in general,and initial value problems in particular,include classical mechanics,thermodynamics,electromagnetism,and the general theory of relativity.A reliable,stable,efficient,and consistent numerical scheme is frequently required for modelling and simulation of a wide range of real-world problems using differential *** this study,the tangent slope is assumed to be the contra-harmonic mean,in which the arithmetic mean is used as a correction instead of Euler’s method to improve the efficiency of the improved Euler’s technique for solving ordinary differential equations with initial *** stability,consistency,and efficiency of the system were evaluated,and the conclusions were supported by the presentation of numerical test applications in *** to the stability analysis,the proposed method has a wider stability region than other well-known methods that are currently used in the literature for solving initial-value *** validate the rate convergence of the numerical technique,a few initial value problems of both scalar and vector valued types were *** proposed method,modified Euler explicit method,and other methods known in the literature have all been used to calculate the absolute maximum error,absolute error at the last grid point of the integration interval under consideration,and computational time in seconds to test the *** Lorentz system was used as an example to illustrate the validity of the solution provided by the newly developed *** method is determined to be more reliable than the commonly existing methods with the same order of convergence,as mentioned in the literature for numerical calculations and visualization of the results produced by all the methods discussed,Mat Lab-R2011b has been used.

关键词： Local truncation error consistency computational time stability lorentz system

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