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(Sm/Eu/Tm)^(3+) doped tantalum semiconductor system for photovoltaic and electrochemical functionality amplification

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Journal of rare Earths 2024年第8期42卷 1586-1594,I0007页

作者： Shaan Bibi Jaffri Khuram shahzad Ahmad Isaac Abrahams Ibrahim A.A Materials and Environmental Chemistry Lab Lab-E21Department of Environmental SciencesFatima Jinnah Women UniversityRawalpindiPakistan School of Physical and Chemical Sciences Queen Mary University of LondonLondonUnited Kingdom Department of Botany and Microbiology College of ScienceKing Saud UniversityP.O.Box 2455Riyadh11451Saudi Arabia

This work reports the synthesis,characterization,and energy focused applications of the novel lanthanides co-doped tantalum pentoxide hetero-system(Sm^(3+)-Eu^(3+)-Tm^(3+):Ta_(2)O_(5)).Ln^(3+)-doped Ta_(2)O_(5) express excellent opto-electronic features reflected by the narrow band gap energy of 3.87 *** vibrations confirm the presence of Ta-O-Ta and Ta-O *** synthesized system possesses orthorhombic geometry with 59.46 nm particle *** the smoother and compact morphology,the synthesized material succeeds in augmenting the performance of different systems aimed at energy *** ambient perovskite solar cell device fabricated with the Ln^(3+)-doped Ta_(2)O_(5) as an electron transport layer excels in achieving an efficiency and fill factor of 14.17% and 76% under artificial *** device was marked by the negligible hysteresis behavior showing profound photovoltaic *** electrochemical activity of the Ln^(3+)-doped Ta_(2)O_(5) decorated electrode was evaluated for electrical charge storage potential with pseudocapacitive behavior,With the highest specific capacitance of 355.39 F/g and quicker ionic diffusion rate,the designed electrode excels conventionally used ***-catalysis of water with Ln^(3+)-doped Ta_(2)O_(5) material indicates its capacity for H_(2) production with the lowest overpotential and Tafel slope values of 148 and 121.2 mV/dec,while the O_(2) generation is comparatively *** the stable electrochemical output,this rare earth modified material has the potential to replace conventionally used environmentally perilous and costly materials.

关键词： Lanthanide doping rare earth materials Perovskite solar cells Supercapacitors Water splitting

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Improved Proximal Policy Optimization Algorithm for Sequential Security-constrained Optimal Power Flow Based on Expert Knowledge and Safety Layer

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Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 742-753页

作者： Yanbo Chen Qintao Du Honghai Liu Liangcheng Cheng Muhammad shahzad Younis State Key Laboratory of Alternate Electrical Power System with renewable Energy Sources and School of Electrical&Electronic Engineering North China Electric Power UniversityBeijing 102206China School of Engineering Xining UniversityXining 810008Chinaand Key Laboratory of Smart Operation of New Energy Power SystemMinistry of EducationQinghai UniversityXining 810016China China Electric Power research Institute Nanjing 210003China National University of Sciences and Technology Islamabad44000Pakistan

In recent years,reinforcement learning(rL)has emerged as a solution for model-free dynamic programming problem that cannot be effectively solved by traditional optimization *** has gradually been applied in the fields such as economic dispatch of power systems due to its strong selflearning and self-optimizing ***,existing economic scheduling methods based on rL ignore security risks that the agent may bring during exploration,which poses a risk of issuing instructions that threaten the safe operation of power ***,we propose an improved proximal policy optimization algorithm for sequential security-constrained optimal power flow(SCOPF)based on expert knowledge and safety layer to determine active power dispatch strategy,voltage optimization scheme of the units,and charging/discharging dispatch of energy storage *** expert experience is introduced to improve the ability to enforce constraints such as power balance in training process while guiding agent to effectively improve the utilization rate of renewable ***,to avoid line overload,we add a safety layer at the end of the policy network by introducing transmission constraints to avoid dangerous actions and tackle sequential SCOPF *** results on an improved IEEE 118-bus system verify the effectiveness of the proposed algorithm.

关键词： Sequential security-constrained optimal power flow(SCOPF) expert experience safety layer renewable energy safe reinforcement learning

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Clinical applications of stem cell-derived exosomes

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Signal Transduction and Targeted Therapy 2024年第2期9卷 621-651页

作者： Fei Tan Xuran Li Zhao Wang Jiaojiao Li Khawar shahzad Jialin Zheng Department of OrL-HNS Shanghai Fourth People’s Hospitaland School of MedicineTongji UniversityShanghaiChina Plasma Medicine and Surgical Implants Center Tongji UniversityShanghaiChina The royal College of Surgeons in Ireland DublinIreland The royal College of Surgeons of England LondonUK Center for Translational Neurodegeneration and regenerative Therapy Tongji Hospital affiliated to Tongji University School of MedicineShanghaiChina Shanghai Frontiers Science Center of Nanocatalytic Medicine Tongji UniversityShanghaiChina

Although stem cell-based therapy has demonstrated considerable potential to manage certain diseases more successfully than conventional surgery,it nevertheless comes with inescapable drawbacks that might limit its clinical *** to stem cells,stem cell-derived exosomes possess num.rous advantages,such as non-immunogenicity,non-infusion toxicity,easy access,effortless preservation,and freedom from tum.rigenic potential and ethical *** can inherit similar therapeutic effects from their parental cells such as embryonic stem cells and adult stem cells through vertical delivery of their pluripotency or *** a thorough search and meticulous dissection of relevant literature from the last five years,we present this comprehensive,up-to-date,specialty-specific and disease-oriented review to highlight the surgical application and potential of stem cell-derived *** derived from stem cells(e.g.,embryonic,induced pluripotent,hematopoietic,mesenchymal,neural,and endothelial stem cells)are capable of treating num.rous diseases encountered in orthopedic surgery,neurosurgery,plastic surgery,general surgery,cardiothoracic surgery,urology,head and neck surgery,ophthalmology,and obstetrics and *** diverse therapeutic effects of stem cells-derived exosomes are a hierarchical translation through tissue-specific responses,and cell-specific molecular signaling *** this review,we highlight stem cell-derived exosomes as a viable and potent alternative to stem cell-based therapy in managing various surgical *** recommend that future research combines wisdoms from surgeons,nanomedicine practitioners,and stem cell researchers in this relevant and intriguing research area.

关键词： viable stem capable

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Multi-Elemental Chemostratigraphy,Sequence Development,Depositional History,and Environmental Importance of Early Eocene red Beds(Kuldana Formation)in NW Himalayas,Pakistan

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Journal of Earth Science 2024年第2期35卷 349-375页

作者： Amir shahzad George Kontakiotis Thierry Adatte Khawaja Shoaib Ahmed Muhammad Tayyib riaz Hammad Tariq Janjuhah Evangelia Besiou Institute of Geology University of Azad Jammu and KashmirMuzaffarabad13100Pakistan Department of Historical Geology-Paleontology Faculty of Geology and GeoenvironmentSchool of Earth SciencesNational and Kapodistrian University of AthensPanepistimiopolisZografou15784Greece Institute of Earth Sciences(ISTE) University of LausanneLausanneCH-1015Switzerland Department of Geology Shaheed Benazir Bhutto UniversitySheringalPeshawar18050Pakistan

The Eocene Kuldana Formation(KF)in the Yadgar area of Pakistan,comprises a diverse range of sedimentary facies,including variegated red beds of shales,mudstones,and sandstones,as well as interbedded limestone and *** this study,we conducted an integrated micropaleontological,sedimentological,mineralogical,and geochemical investigation to determine the depositional setting,biochronology,provenance,and paleoclimate of the *** study identified six lithofacies and six microfacies,which indicate a variety of environments ranging from floodplains and channels to the margins and shallow marine *** nannofossil biostratigraphy places the KF in the Early Eocene,more precisely the NP10 zone(Ypresian),and the fossil zone of benthic foraminifera classifies the study section as the Shallow Benthic Zone SBZ-8(Middle Ilerdian 2).In terms of petrography,the KF sandstone was classified as litharenite and feldspathic litharenite,while the QtFL diagram suggests a recycled *** proxies indicate an oxidizing environment,a high-to-low regular sedimentation rate,moderate-to-intense chemical weathering in the source region,and a warm-humid to dry climate during the deposition of ***,the findings suggest that the deposition of KF marks the end of Neo-Tethys due to the Early Eocene Indian–Kohistan collision and that the uplifting of the Himalayas provided the source for the deposition of KF in the foreland *** study provides new insights into the depositional environment,biochronology,provenance,and paleoclimate of KF,and highlights the potential for red beds as reliable indicators of oxygenation levels in proximity to mineral deposits.

关键词： sedimentary microfacies Paleocene–Eocene thermal maximum stratigraphic correlations paleoenvironmental reconstruction nannofossils paleontology

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A review on marine collagen:sources,extraction methods,colloids properties,and food applications

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胶原与皮革（英文） 2024年第1期6卷 1-27页

作者： shahzad Farooq Muhammad Ijaz Ahmad Shijie Zheng Usman Ali Yang Li Cui Shixiu Hui Zhang Jiaxing Institute of Future Food Jiaxing 314050China College of Biosys-tems Engineering and Food Science Zhejiang Key Laboratory for Agro-Food ProcessingZhejiang UniversityHangzhou 310058China Jiaxing Institute of Future Food Jiaxing 314050China College of Biosys-tems Engineering and Food Science Zhejiang Key Laboratory for Agro-Food ProcessingZhejiang UniversityHangzhou 310058China

The growing interest in valorizing industrial by-products has led researchers to focus on exploring different sources and optimizing collagen extraction conditions over the past *** bovine hide,cattle bones,pork,and pig skins remain the most abundant collagen sources,there is a growing trend in the industrial utilization of collagen from non-mammalian *** review explores alternative marine collagen sourcesand summarizes emerging trends in collagen recovery from marine sources,with a particular focus on environmentally friendly ***-tionally,this review covers the colloidal structure-forming properties of marine collagens,including foam,film,gel,and emulsion *** also highlights the potential and important applications of marine collagen in various food *** on the currently reported marine sources,collagens extracted from fish,jellyfish,and sea cucumbers were found to have the highest yield and mostly comprised type-l collagen,while crustaceans and mollusks yielded lower percentages of *** extraction techniques isolate collagen based on acetic acid and pepsin treatment,but they come with drawbacks such as being time-consuming,causing sample destruction,and using ***,marine collagen extracted using conventional methods assisted with ultrasonication resulted in higher yields and strengthened the triple-stranded helical ***,an increasing number of new applications have been found in the food industry for marine collagens,such as biodegradable film-forming materi-als,colloid stabilizers,foaming agents,and micro-encapsulating ***,collagen is a modern foodstuff and is extensively used in the beverage,dairy,and meat industries to increase the stability,consistency,and elasticity of products.

关键词： Marine collagen Jellyfish Sea cucumber Colloid stabilizer Edible film Dairy product

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An Implementation of Multiscale Line Detection and Mathematical Morphology for Efficient and Precise Blood Vessel Segmentation in Fundus Images

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Computers, Materials & Continua 2024年第5期79卷 2565-2583页

作者： Syed Ayaz Ali Shah Aamir shahzad Musaed Alhussein Chuan Meng Goh Khursheed Aurangzeb Tong Boon Tang Muhammad Awais Department of Electrical and Computer Engineering COMSATS University IslamabadAbbottabad CampusAbbottabad22060Pakistan Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Faculty of Information and Communication Technology University Tunku Abdul RehmanKampar CampusKampar31900Malaysia Centre for Intelligent Signal and Imaging research University Teknologi PETRONASBandar Seri IskandarPerak32610Malaysia School of Computing Sciences University of East AngliaNorwichNR47TJUK

Diagnosing various diseases such as glaucoma,age-related macular degeneration,cardiovascular conditions,and diabetic retinopathy involves segmenting retinal blood *** task is particularly challenging when dealing with color fundus images due to issues like non-uniformillumination,low contrast,and variations in vessel appearance,especially in the presence of different ***,the speed of the retinal vessel segmentation system is of utmost *** the surge of now available big data,the speed of the algorithm becomes increasingly important,carrying almost equivalent weightage to the accuracy of the *** address these challenges,we present a novel approach for retinal vessel segmentation,leveraging efficient and robust techniques based on multiscale line detection and mathematical *** algorithm’s performance is evaluated on two publicly available datasets,namely the Digital retinal Images for Vessel Extraction dataset(DrIVE)and the Structure Analysis of retina(STArE)*** experimental results demonstrate the effectiveness of our method,withmean accuracy values of 0.9467 forDrIVE and 0.9535 for STArE datasets,aswell as sensitivity values of 0.6952 forDrIVE and 0.6809 for STArE ***,our algorithmexhibits competitive performance with state-of-the-art ***,it operates at an average speed of 3.73 s per image for DrIVE and 3.75 s for STArE *** is worth noting that these results were achieved using Matlab scripts containing multiple *** suggests that the processing time can be further reduced by replacing loops with *** the proposed algorithm can be deployed in real time *** summary,our proposed system strikes a fine balance between swift computation and accuracy that is on par with the best available methods in the field.

关键词： Line detector vessel detection localization mathematical morphology image processing

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Al^(3+)doped CeO_(2)for proton conducting fuel cells

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International Journal of Minerals,Metallurgy and Materials 2024年第10期31卷 2253-2262页

作者： Sarfraz shahzad rasool Muhammad Khalid MAKYousaf Shah Bin Zhu Jung-Sik Kim Muhammad Imran Asghar Nabeela Akbar Wenjing Dong Jiangsu Provincial Key Laboratory of Solar Energy Science and Technology/Energy Storage joint research Center School of Energy and EnvironmentSoutheast UniversityNanjing 210096China School of Microelectronics Hubei UniversityWuhan 430062China Sino-French Engineer School/School of General Engineering Beihang UniversityBeijing 100191China renewable Energy Technologies Group Faculty of Engineering and Natural SciencesTampere UniversityFI-33014Finland

Developing high ionic conducting electrolytes is crucial for applying proton-conducting fuel cell(PCFCs)*** cur-rent study investigates the effect of alumina on the structural,morphological,electrical,and electrochemical properties of CeO_(2).Lattice oxygen vacancies are induced in CeO_(2)by a general doping concept that enables fast ionic conduction at low-temperature ranges(300-500℃)for *** refinement of the X-ray diffraction(XrD)patterns established the pure cubic fluorite structure of Al-doped CeO_(2)(ADC)samples and confirmed Al ions’fruitful integration in the CeO_(2)*** electronic structure of the alumina-doped ceria of the materials(10ADC,20ADC,and 30ADC)has been *** a result,it was found that the best composition of 30ADC-based electrolytes induced maximum lattice oxygen *** corresponding PCFC exhibited a maximum power output of 923 mW/cm^(2)at 500℃.Moreover,the investigation proves the proton-conducting ability of alumina-doped ceria-based fuel cells by using an oxide ion-blocking layer.

关键词： proton ceramic fuel cells oxygen vacancies higher fuel cell performance doping fast ions transportation

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Metal-organic framework-based single-atom electro-/ photocatalysts: Synthesis, energy applications, and opportunities

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Carbon Energy 2024年第1期6卷 1-43页

作者： Munir Ahmad Jiahui Chen Jianwen Liu Yan Zhang Zhongxin Song shahzad Afzal Waseem raza Liaqat Zeb Andleeb Mehmood Arshad Hussain Jiujun Zhang Xian-Zhu Fu Jing-Li Luo Shenzhen Key Laboratory of Energy Electrocatalytic Materials Guangdong Research Center for Interfacial Engineering of Functional MaterialsCollege of Materials Science and EngineeringShenzhen UniversityShenzhenGuangdongChina College of Physics and Optoelectronic Engineering Shenzhen UniversityShenzhenGuangdongChina College of Chemistry and Environmental Engineering Shenzhen UniversityShenzhenGuangdongChina Department of Environmental Engineering China Jiliang UniversityHangzhouZhejiangChina Institute for Advanced Study Shenzhen UniversityShenzhenGuangdongChina School of Bioengineering Dalian University of TechnologyDalianLiaoningChina College of Materials Science and Engineering Fuzhou UniversityFuzhouFujianChina Institute for Sustainable Energy Shanghai UniversityShanghaiChina

Single-atom catalysts(SACs)have gained substantial attention because of their exceptional catalytic ***,the high surface energy limits their synthesis,thus creating significant challenges for further *** the last few years,metal–organic frameworks(MOFs)have received significant consideration as ideal candidates for synthesizing SACs due to their tailorable chemistry,tunable morphologies,high porosity,and chemical/thermal *** this perspective,this review thoroughly summarizes the previously reported methods and possible future approaches for constructing MOF-based(MOF-derived-supported and MOF-supported)***,MOF-based SAC's identification techniques are briefly assessed to understand their coordination environments,local electronic structures,spatial distributions,and catalytic/electrochemical reaction *** review systematically highlights several photocatalytic and electrocatalytic applications of MOF-based SACs for energy conversion and storage,including hydrogen evolution reactions,oxygen evolution reactions,O_(2)/CO_(2)/N_(2) reduction reactions,fuel cells,and rechargeable *** light is also shed on the future development of this highly exciting field by highlighting the advantages and limitations of MOF-based SACs.

关键词： carbon energy generation MOF-derived-supported MOF-supported single atoms

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recent progress in two-dimensional metallenes and their potential application as electrocatalyst

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Journal of Energy Chemistry 2024年第7期94卷 577-598页

作者： um.r shahzad Mohsin Saeed Muhammad Fazle rabbee Hadi M.Marwani Jehan Y.Al-Humaidi Muhammad Altaf raed H.Althomali Kwang-Hyun Baek Md.rabiul Awual Mohammed M.rahman Department of Chemistry Faculty of ScienceKing Abdulaziz UniversityJeddah 21589Saudi Arabia Department of Biotechnology Yeungnam UniversityGyeongsanSouth Korea Center of Excellence for Advanced Materials research(CEAMr) King Abdulaziz UniversityJeddah 21589Saudi Arabia Department of Chemistry College of SciencePrincess Nourah Bint Abdulrahman UniversityP.O.BOX 84428Riyadh 11671Saudi Arabia Department of Chemistry Center of Excellence for Innovation in Chemistry(PERCH-CIC)Center of Excellence in Materials Science and TechnologyFaculty of ScienceChiang Mai UniversityChiang Mai 50200Thailand Department of Chemistry College of Art and SciencePrince Sattam Bin Abdulaziz UniversityWadi Al-Dawasir 11991Saudi Arabia Western Australian School of Mines:Minerals Energy and Chemical EngineeringCurtin UniversityGPO Box U 1987PerthWA 6845Australia

In this article,we looked at metallenes,a novel class of two-dimensional(2D)metals that are attracting interest in the energy and catalysis *** is one area where their exceptional physicochemical and electrical characteristics might be *** are unique because they include several metal atoms that are not in a coordinated *** makes them more active and improves their atomic uti-lization,which in turn increases their catalytic *** article delves into the potential of two-dimensional metals as electrocatalysts for carbon dioxide reduction,fuel oxidation,oxygen evolution,and oxygen reduction reactions in the context of sustainable energy *** to the exception-ally high surface-to-volume ratio,large surface area as well as their optimized atomic use efficiency,2D materials defined by atomic layers are crucial for surface-related sustainable energy *** to its exceptional properties,such as high conductivity and the ability to enhance the exposure of active metal sites,2D metallenes have recently attracted a lot of interest for use in catalysis,electronics,and energy-related *** their highly mobility,adjustable surface states,and electrical struc-tures that can be fine-tuned,2D metallenes are promising nanostructure materials for use in energy con-version with the sustainable applications.

关键词： Metallenes Electrocatalysts Electrochemical processes Atomically thin structure

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Intrusion Detection System for Smart Industrial Environments with Ensemble Feature Selection and Deep Convolutional Neural Networks

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Intelligent Automation & Soft Computing 2024年第3期39卷 545-566页

作者： Asad raza shahzad Memon Muhammad Ali Nizamani Mahmood Hussain Shah Dr.AHS Bukhari Postgraduate Centre of Information and Communication Technology Faculty of Engineering and TechnologyUniversity of SindhJamshoro76060Pakistan Newcastle Business School Northumbria UniversityNewcastleNE1UK

Smart Industrial environments use the Industrial Internet of Things(IIoT)for their routine operations and transform their industrial operations with intelligent and driven ***,IIoT devices are vulnerable to cyber threats and exploits due to their connectivity with the *** signature-based IDS are effective in detecting known attacks,but they are unable to detect unknown emerging ***,there is the need for an IDS which can learn from data and detect new *** Machine Learning(ML)and individual Deep Learning(DL)based IDS have been developed,and these individual models achieved low accuracy;however,their performance can be improved with the ensemble stacking *** this paper,we have proposed a Deep Stacked Neural Network(DSNN)based IDS,which consists of two stacked Convolutional Neural Network(CNN)models as base learners and Extreme Gradient Boosting(XGB)as the meta *** proposed DSNN model was trained and evaluated with the next-generation dataset,TON_*** pre-processing techniques were applied to prepare a dataset for the model,including ensemble feature selection and the SMOTE ***,precision,recall,F1-score,and false positive rates were used to evaluate the performance of the proposed ensemble *** experimental results showed that the accuracy for binary classification is 99.61%,which is better than in the baseline individual DL and ML *** addition,the model proposed for IDS has been compared with similar *** proposed DSNN achieved better performance metrics than the other *** proposed DSNN model will be used to develop enhanced IDS for threat mitigation in smart industrial environments.

关键词： Industrial internet of things smart industrial environment cyber-attacks convolutional neural network ensemble learning

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