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MXenes and heterostructures-based electrocatalysts for hydrogen evolution reaction:Recent developments and future outlook

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Journal of Energy Chemistry 2024年第5期92卷 176-206页

作者： Abdul Hanan hafi. tai.oor ahmed awan Faiza Bibi Raja Rafidah Raja Sulaiman Wai Yin Wong Rashmi Walvekar Seema Singh Mohammad Khalid Sunway Centre for Electrochemical Energy and Sustainable Technology(SCEEST) School of Engineering and TechnologySunway UniversityNo.5 Jalan UniversitiBandar Sunway47500 Petaling JayaSelangorMalaysia Fuel Cell Institute Universiti Kebangsaan Malaysia43600 UKM BangiSelangorMalaysia Faculty of Innovation and Technology School of EngineeringChemical Engineering ProgrammeNo.1 Jalan Taylor’sTaylor’s University Malaysia47500 Subang JayaSelangorMalaysia Chitkara Centre for Research and Development Chitkara UniversityHimachal Pradesh 174103India School of Applied and Life Sciences Uttaranchal UniversityDehradunUttarakhand 248007India Manipal Institute of Technology Manipal Academy of Higher EducationManipal 576104KarnatakaIndia Centre of Research Impact and Outcome Chitkara UniversityPunjab 140401India

The increasing focus on electrocatalysis for sustainable hydrogen(H_(2))production has prompted significant interest in MXenes,a class of two-dimensional(2D)materials comprising metal carbides,carbonitrides,and *** materials exhibit intriguing chemical and physical properties,including excellent electrical conductivity and a large surface area,making them attractive candidates for the hydrogen evolution reaction(HER).This scientific review explores recent advancements in MXene-based electrocatalysts for HER *** discusses various compositions,functionalities,and explicit design principles while providing a comprehensive overview of synthesis methods,exceptional properties,and electro-catalytic approaches for H_(2) production via electrochemical ***,challenges and future prospects in designing MXenes-based electrocatalysts with enhanced kinetics are highlighted,emphasizing the potential of incorporating different metals to expand the scope of electrochemical *** review suggests possible efforts for developing advanced MXenes-based electrocatalysts,particularly for efficient H_(2) generation through electrochemical water-splitting reactions..

关键词： MXenes Electrocatalyst Water Splitting Hydrogen Generation Clean Energy

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LSTM Based Neural Network Model for Anomaly Event Detection in Care-Independent Smart Homes

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2689-2706页

作者： Brij B.Gupta Akshat Gaurav Razaz Waheeb Attar Varsha Arya ahmed Alhomoud Kwok tai Chui Department of Computer Science and Information Engineering Asia UniversityTaichung413TaiwanChina Symbiosis Centre for Information Technology(SCIT) Symbiosis International UniversityPune411057India Center for Interdisciplinary Research University of Petroleum and Energy Studies(UPES)Dehradun248007India Computer Engineering Ronin InstituteMontclairNJ 07043USA Management Department College of Business AdministrationPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Business Administration Asia UniversityTaichung413TaiwanChina Department of Electrical and Computer Engineering Lebanese American UniversityBeirut1102Lebanon Department of Computer Sciences Faculty of Computing and Information TechnologyNorthern Border UniversityRafha91911Saudi Arabia School of Science and Technology Hong Kong Metropolitan University(HKMU)Hong KongChina

This study introduces a long-short-term memory(LSTM)-based neural network model developed for detecting anomaly events in care-independent smart homes,focusing on the critical application of elderly fall *** balances the dataset using the Synthetic Minority Over-sampling Technique(SMOTE),effectively neutralizing bias to address the challenge of unbalanced datasets prevalent in time-series classification *** proposed LSTM model is trained on the enriched dataset,capturing the temporal dependencies essential for anomaly *** model demonstrated a significant improvement in anomaly detection,with an accuracy of 84%.The results,detailed in the comprehensive classification and confusion matrices,showed the model’s proficiency in distinguishing between normal activities and *** study contributes to the advancement of smart home safety,presenting a robust framework for real-time anomaly monitoring.

关键词： LSTM neural networks anomaly detection smart home health-care elderly fall prevention

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Optimized Phishing Detection with Recurrent Neural Network and Whale Optimizer Algorithm

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Computers, Materials & Continua 2024年第9期80卷 4895-4916页

作者： Brij Bhooshan Gupta Akshat Gaurav Razaz Waheeb Attar Varsha Arya ahmed Alhomoud Kwok tai Chui Department of Computer Science and Information Engineering Asia UniversityTaichung413Taiwan Symbiosis Centre for Information Technology(SCIT) Symbiosis International UniversityPuneMaharashtra411057India Center for Interdisciplinary Research University of Petroleum and Energy Studies(UPES)Dehradun248007India Ronin Institute MontclairNJ 07043USA Management Department College of Business AdministrationPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Business Administration Asia UniversityTaichung413Taiwan Department of Electrical and Computer Engineering Lebanese American UniversityBeirut1102Lebanon Department of Computer Sciences Faculty of Computing and Information TechnologyNorthern Border UniversityRafha91911Saudi Arabia Department of Electronic Engineering and Computer Science Hong Kong Metropolitan University(HKMU)HomantinHong KongChina

Phishing attacks present a persistent and evolving threat in the cybersecurity land-scape,necessitating the development of more sophisticated detection *** machine learning approaches to phishing detection have relied heavily on feature engineering and have often fallen short in adapting to the dynamically changing patterns of phishingUniformResource Locator(URLs).Addressing these challenge,we introduce a framework that integrates the sequential data processing strengths of a Recurrent Neural Network(RNN)with the hyperparameter optimization prowess of theWhale Optimization Algorithm(WOA).Ourmodel capitalizes on an extensive Kaggle dataset,featuring over 11,000 URLs,each delineated by 30 *** WOA’s hyperparameter optimization enhances the RNN’s performance,evidenced by a meticulous validation *** results,encapsulated in precision,recall,and F1-score metrics,surpass baseline models,achieving an overall accuracy of 92%.This study not only demonstrates the RNN’s proficiency in learning complex patterns but also underscores the WOA’s effectiveness in refining machine learning models for the critical task of phishing detection.

关键词： Phishing detection Recurrent Neural Network(RNN) Whale Optimization Algorithm(WOA) cybersecurity machine learning optimization

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A Hybrid Duo-Deep Learning and Best Features Based Framework for Action Recognition

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Computers, Materials & Continua 2022年第11期73卷 2555-2576页

作者： Muhammad Naeem Akbar Farhan Riaz ahmed Bilal awan Muhammad Attique Khan Usman Tariq Saad Rehman National University of Sciences and Technology(NUST) Islamabad46000Pakistan Department of Computer Science HITEC UniversityTaxilaPakistan College of Computer Engineering and Science Prince Sattam Bin Abdulaziz UniversityAl-Kharaj 11942Saudi Arabia

Human Action Recognition(HAR)is a current research topic in the field of computer vision that is based on an important application known as video *** in computer vision have introduced various intelligent methods based on deep learning and machine learning,but they still face many challenges such as similarity in various actions and redundant *** proposed a framework for accurate human action recognition(HAR)based on deep learning and an improved features optimization algorithm in this *** deep learning feature extraction to feature classification,the proposed framework includes several critical *** training fine-tuned deep learning models–MobileNet-V2 and Darknet53–the original video frames are *** feature extraction,pre-trained deep models are used,which are fused using the canonical correlation *** that,an improved particle swarm optimization(IPSO)-based algorithm is used to select the best *** that,the selected features were used to classify actions using various *** experimental process was performed on six publicly available datasets such as KTH,UT-Interaction,UCF Sports,Hollywood,IXMAS,and UCF YouTube,which attained an accuracy of 98.3%,98.9%,99.8%,99.6%,98.6%,and 100%,*** comparison with existing techniques,it is observed that the proposed framework achieved improved accuracy.

关键词： Action recognition deep learning features fusion features selection recognition

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Stochastic Programming for Hub Energy Management Considering Uncertainty Using Two-Point Estimate Method and Optimization Algorithm

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Computer Modeling in Engineering & Sciences 2023年第12期137卷 2163-2192页

作者： Ali S.Alghamdi Mohana Alanazi Abdulaziz Alanazi Yazeed Qasaymeh Muhammad Zubair ahmed Bilal awan M.G.B.Ashiq Department of Electrical Engineering College of EngineeringMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Electrical Engineering College of EngineeringJouf UniversitySakaka72341Saudi Arabia Department of Electrical Engineering College of EngineeringNorthern Border UniversityAr’Ar73222Saudi Arabia Automation and Control Department College of Engineering TechnologyUniversity of Doha for Science and TechnologyDoha24449Qatar Department of Electrical and Computer Engineering College of Engineering and Information TechnologyAjman UniversityAjman20550United Arab Emirates Department of Physics College of ScienceImam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia

To maximize energy profit with the participation of electricity,natural gas,and district heating networks in the day-ahead market,stochastic scheduling of energy hubs taking into account the uncertainty of photovoltaic and wind resources,has been carried *** has been done using a new meta-heuristic algorithm,improved artificial rabbits optimization(IARO).In this study,the uncertainty of solar and wind energy sources is modeled using Hang’s two-point estimating method(TPEM).The IARO algorithm is applied to calculate the best capacity of hub energy equipment,such as solar and wind renewable energy sources,combined heat and power(CHP)systems,steamboilers,energy storage,and electric cars in the *** standard ARO algorithmis developed to mimic the foraging behavior of rabbits,and in this work,the algorithm’s effectiveness in avoiding premature convergence is improved by using the dystudynamic inertia weight *** proposed IARO-based scheduling framework’s performance is evaluated against that of traditional ARO,particle swarm optimization(PSO),and salp swarm algorithm(SSA).The findings show that,in comparison to previous approaches,the suggested meta-heuristic scheduling framework based on the IARO has increased energy profit in day-ahead electricity,gas,and heating markets by satisfying the operational and energy hub ***,the results show that TPEM approach dependability consideration decreased hub energy’s profit by 8.995%as compared to deterministic planning.

关键词： Stochastic energy hub scheduling energy profit uncertainty Hong’s two-point estimate method improved artificial rabbits optimization

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Metal-organic framework derived multi-functionalized and co-doped TiO_(2)/C nanocomposites for excellent visible-light photocatalysis

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Journal of Materials Science & Technology 2022年第6期101卷 49-59页

作者： Mian Zahid Hussain Zhuxian Yang ahmed M.E.Khalil Shahzad Hussain Saif Ullah awan Quanli Jia Roland A.Fischer Yanqiu Zhu Yongde Xia College of Engineering Mathematics and Physical SciencesUniversity of ExeterExeter EX44QFUnited Kingdom Department of Chemistry and Catalysis Research Centre Technical University of MunichGarching85748Germany Department of Chemical Engineering Faculty of EngineeringCairo UniversityGiza 12613Egypt Department of Physics COMSATS University Islamabad45550 Pakistan Department of Electrical Engineering National University of Sciences and TechnologyIslamabadPakistan Henan Key Laboratory of High Temperature Functional Ceramics Zhengzhou UniversityZhengzhou 450052China

Multi-functionalized and co-doped TiO_(2)/C nanocomposites were derived from the pyrolysis of Ti-MOFs at 800℃under different gaseous atmospheres and their photocatalytic performance were *** gaseous atmosphere during pyrolysis plays a critical role in determining the structural,textural,optical and physicochemical properties of the derived TiO_(2)/C composites due to the synergistic effect of nitrogen-containing species,carboxylate and sulfur functionalized porous carbon as well as N/S co-doped TiO_(2)*** the Ti-MOFs derived TiO_(2)/C composites exclusively possess homogeneously distributed TiO_(2)nanoparticles in a functionalized disc-like porous carbon matrix and demonstrate much enhanced adsorption and photodegradation performance than commercial TiO_(2)under the same *** adsorption of methylene blue(MB)in dark on these TiO_(2)/C composites are dominated with pseudo second-order kinetic model and the high adsorption capacity of MB in dark on composite TiO_(2)/C derived from MIL-125(Ti)in argon is due to its high surface area with predominant mesoporous carbon matrix in the *** composite N-O-TiO_(2)/C derived from NH2-MIL-125(Ti)in water vapor exhibited the highest photodegradation activity with 99.7%MB removal in 3 h under visible light due to the optimal anatase/rutile phasejunction,together with the formation of photoactive oxygen-rich N-O like interstitial/intraband states above the valence band of TiO_(2),as well as the presence of N-containing species and-OH/-COOH multi-functional groups with superhydrophilic nature of the *** simple one-step and easily modifiable approach can be further employed to modulate homogeneously dispersed multi-functionalized and co-doped metal oxide/carbon nanocomposites for various environment and energy-related applications.

关键词： Nanocomposite MOF derivative TiO_(2) Porous carbon Photocatalysis

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Seven Decades of China’s Achievements

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疯狂英语（初中天地） 2019年第10期 12-15页

作者： Engr.Zamir ahmed awan 不详

国庆临近,城市街头国旗飘飘,到处欢歌笑语,一派喜气洋洋的景象。今年是中华人民共和国成立70周年。70年来,中国发生了巨大的变化,取得了不俗的成绩!让我们跟随外国友人的视野一起致敬中华人民共和国成立70年!

关键词：初中英语阅读

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Habitat Utilization and Feeding Biology of Himalayan Grey Langur (Semnopithecus entellus ajex) in Machiara National Park, Azad Jammu and Kashmir, Pakistan

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Zoological Research 2010年第2期31卷 177-188页

作者： Riaz Aziz Minhas Khawaja Basharat ahmed Muhammad Siddique awan Naeem Iftikhar Dar World Wide Fund for Nature-Pakistan (WWF-Pakistan) AJK Office Muzaffarabad Azad Jammu and Kashmir 13100 Pakistan Department ofZoology University of Azad Jammu and Kashmir Muzaffarabad Azad Jammu and Kashmir 13100 Pakistan Department of Wildlife and Fisheries Government of Azad Jammu and Kashmir Muzaffarabad Azad Jammu and Kashmir 13100 Pakistan

Habitat utilization and feeding biology of Himalayan Grey Langur （Semnopithecus entellus ajex） were studied from April, 2006 to April, 2007 in Machiara National Park, Azad Jammu and Kashmir, Pakistan. The results showed that in the winter season the most preferred habitat of the langurs was the moist temperate coniferous forests interspersed with deciduous trees, while in the summer season they preferred to migrate into the subalpine scrub forests at higher altitudes. Langurs were folivorous in feeding habit, recorded as consuming more than 49 plant species （27 in summer and 22 in winter） in the study area. The mature leaves （36.12%） were preferred over the young leaves （27.27%） while other food components comprised of fruits （17.00%）, roots （9.45%）, barks （6.69%）, flowers （2.19%） and stems （1.28%） of various plant species.

关键词： Himalayan Grey Langur Habitat Food biology Machiara National Park

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ROLE OF ACULASER THERAPY IN CEREBRAL PALSY CHILDERN (INITIAL DATA & RESULTS)

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World Journal of Acupuncture-Moxibustion 2004年第1期14卷 18-25页

作者： Shahzad Anwar Malik Mohammad Nadeem Khan Imtiaz ahmed Abid Hareef awan Anwar Shah's First C.P.& Paralysis Clinic and Research Center Children Hospital & Institute of Child HealthSheikh Zayed HospitalAnwar Shah's First C.P.& Paralysis Clinic and Research Center 17 C Main Boulevard Faisal Town LahoreLahoreLahore Pakistan 17 C Main Boulevard Faisal Town Lahore

A single, open and non-comparative study was conducted at Anwar Shah’s First C.P. & Paralysis Clinic and Research Center to evaluate the effects of Aculaser (acupoint-laser) Therapy for children suffering from cerebral palsy (CP) of various types. These children were further classified according to their major complaints. Analysis of the data indicated that 11 children with severe spasticity and stiffness all showed marked improvement (100% success rate); of the 8 children with epileptic fits, 6 patients had a significant reduction in the intensity, frequency and duration of epileptic fits, while the rest 2 cases showed no any improvement or aggravation (75% success rate); out of 5 children with cortical blindness, 2 cases showed complete recovery of vision and 3 had marked improvement (40% cure rate); out of 4 children with hearing difficulties, 2 showed marked improvement (50% success rate); out of 14 children with aphasis, 8 showed improvement (57% improvement rate). Results of this study show that Aculaser Therapy has a high improvement rate of CP children, not only improving the spasticity and stiffness but also the cortical blindness, epilepsy, deafness and speech.

关键词： Infantile cerebral palsy Acupoint-laser therapy Clinical observation

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Application of ferrous sulfate alleviates negative impact of cadmium in rice(Oryza sativa L.)

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BIOCELL 2021年第6期45卷 1631-1649页

作者： JAVARIA AFZAL XIUKANG WANG MUHAMMAD HAMZAH SALEEM XUECHENG SUN SHAHID HUSSAIN IMRAN KHAN MUHAMMAD SHOAIB RANA SHAKEEL ahmed SAMRAH AFZAL awan SAJID FIAZ OMAR AZIZ KASHIF ALI KUBAR SHAFAQAT ALI CHENGXIAO HU Key Laboratory of Arable Land Conservation(Middle and Lower Reaches of Yangtze River) Ministry of Agriculture and Rural AffairsHuazhong Agricultural UniversityWuhan430070China Department of Soil Science Sindh Agriculture UniversityTandojam70060Pakistan College of Life Sciences Yan’an UniversityYan’an716000China College of Plant Science and Technology Huazhong Agricultural UniversityWuhan430070China Schools of Materials Science and Engineering Jiangsu UniversityZhenjiang212013China Department of Grassland Science Sichuan Agricultural UniversityChengdu611130China Instituto de Farmacia Facultad de CienciasUniversidad Austral de ChileValdivia5110566Chile Department of Plant Breeding and Genetics The University of HaripurKhyber Pakhtunkhwa22620Pakistan Department of Soil&Environmental Sciences University of Agriculture FaisalabadSub-Campus DepalpurOkaraPakistan Faculty of Agriculture Lasbela University of AgricultureWater and Marine SciencesUthal90150Pakistan Department of Environmental Sciences and Engineering Government College UniversityFaisalabad38000Pakistan Department of Biological Sciences and Technology China Medical UniversityTaichung40402Taiwan

Soil contamination with toxic heavy metals[such as cadmium(Cd)]is becoming a serious global problem due to rapid development of social ***(Fe),being an important element,has been found effective in enhancing plant tolerance against biotic and abiotic *** present study investigated the extent to which different levels of Ferrous sulphate(FeSO_(4))modulated the Cd tolerance of rice(Oryza sativa L.),when maintained in artificially Cd spiked regimes.A pot experiment was conducted under controlled conditions for 146 days,by using natural soil,mixed with different levels of CdCl_(2)[0(no Cd),0.5 and 1 mg/kg]together with the exogenous application of FeSO_(4) at[0(no Fe),1.5 and 3 mg/kg]levels to monitor different growth,gaseous exchange characteristics,oxidative stress,antioxidative responses,minerals accumulation,organic acid exudation patterns of *** results depicted that addition of Cd to the soil significantly(P<0.05)decreased plant growth and biomass,gaseous exchange parameters,mineral uptake by the plants,sugars(soluble,reducing,and non-reducing sugar)and altered the ultrastructure of chloroplasts,plastoglobuli,mitochondria,and many other cellular organelles in Cd-stressed *** compared to those plants which were grown without the addition of Cd in the ***,Cd toxicity boosted the production of reactive oxygen species(ROS)by increasing the contents of malondialdehyde(MDA),which is the indication of oxidative stress in *** and was also manifested by hydrogen peroxide(H_(2)O_(2))contents and electrolyte leakage to the membrane bounded ***,activities of various antioxidative enzymes like superoxidase dismutase(SOD),peroxidase(POD),catalase(CAT)and ascorbate peroxidase(APX)and non-enzymatic antioxidants like phenolics,flavonoid,ascorbic acid,anthocyanin and proline contents increased up to a Cd level of 0.5 mg/kg in the soil but were significantly diminished at the highest Cd level of 1 mg/kg in the soil compar

关键词： Antioxidants Defense mechanism Heavy metals Iron Organic acids exudation

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