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Curcumin preconditioning enhances the efficacy of adipose-derived mesenchymal stem cells to accelerate healing of burn wounds

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Burns & Trauma 2021年第1期9卷 272-287页

作者： maryam Azam Hafiz Ghufran Hira Butt Azra mehmood Ramla Ashfaq asad m.ilyas muhammad R.Ahmad Sheikh Riazuddin National Centre of Excellence in molecular Biology 87-West Canal Bank RoadUniversity of the PunjabLahorePakistan Jinnah Burn and Reconstructive Surgery Centre Maulana Shaukat Ali RdQuaid-i-Azam CampusLahorePakistan

Background:Following recent findings from our group that curcumin preconditioning augments the therapeutic efficacy of adipose-derived stem cells in the healing of diabetic wounds in rats,we aimed to investigate the regenerative effects of curcumin preconditioned adipose-derived mesenchymal stem cells(ASCs)for better recovery of acid inflicted burns in this ***:ASCs were preconditioned with 5μm curcumin for 24 hours and assessed for proliferation,migration,paracrine release potential and gene expression comparative to naive ***,the healing capacity of curcumin preconditioned ASCs(Cur-ASCs)versus naive ASCs was examined using acidic wounds in *** this,acid inflicted burns of 20 mm in diameter were made on the back of male Wistar ***,2×10^(6) cells of Cur-ASCs and naive ASCs were intradermally injected in the wound periphery(n=6)for comparison with an untreated saline ***-transplantation,wounds were macroscopically analysed and photographed to evaluate the percentage of wound closure and period of *** wound biopsies were excised and used for histological evaluation and expression analysis of wound healing markers at molecular level by quantitative PCR and western ***:We found that Cur-ASCs exhibited greater proliferation,migration and paracrine potential in ***,Cur-ASCs showed more effective recovery than naive ASCs as exhibited by gross morphology,faster wound closure and earlier ***’s trichrome and hematoxylin and eosin staining demonstrated the improved architecture of the healing burns,as evidenced by reduced infiltration of inflammatory cells,compact collagen and marked granulation in Cur-ASC treated *** these findings,molecular assessment showed significantly reduced expressions of pro-inflammatory factors(interleukin-1 beta,interleukin-6,tumor necrosis factor alpha)a with striking upsurge of an oxidative marker(superoxide dismutase 1),p

关键词： Adipose-derived stem cells Curcumin preconditioning Acidic burn Wound healing

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Optimized Binary Neural Networks for Road Anomaly Detection:A TinymL Approach on Edge Devices

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Computers, materials & Continua 2024年第7期80卷 527-546页

作者： Amna Khatoon Weixing Wang asad Ullah Limin Li mengfei Wang School of Information Engineering Chang’an UniversityXi’an710064China School of Information Engineering Xi’an Eurasia UniversityXi’an710065China School of Electrical and Electronic Engineering Wenzhou UniversityWenzhou325035China

Integrating Tiny machine Learning(TinymL)with edge computing in remotely sensed images enhances the capabilities of road anomaly detection on a broader *** devices efficiently implement a Binary Neural Network(BNN)for road feature extraction,utilizing quantization and compression through a pruning *** modifications resulted in a 28-fold decrease in memory usage and a 25%enhancement in inference speed while only experiencing a 2.5%decrease in *** showcases its superiority over conventional detection algorithms in different road image *** constrained by computer resources and training datasets,our results indicate opportunities for future research,demonstrating that quantization and focused optimization can significantly improve machine learning models’accuracy and operational *** Cortex-m0 gives practical feasibility and substantial benefits while deploying our optimized BNN model on this low-power device:Advanced machine learning in edge *** analysis work delves into the educational significance of TinymL and its essential function in analyzing road networks using remote sensing,suggesting ways to improve smart city frameworks in road network assessment,traffic management,and autonomous vehicle navigation systems by emphasizing the importance of new technologies for maintaining and safeguarding road networks.

关键词： Edge computing remote sensing TinymL optimization BNNs road anomaly detection quantization model compression

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Recent Developments in Authentication Schemes Used in machine-Type Communication Devices in machine-to-machine Communication: Issues and Challenges

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Computers, materials & Continua 2024年第4期79卷 93-115页

作者： Shafi Ullah Sibghat Ullah Bazai mohammad Imran Qazi mudassar ilyas Abid mehmood muhammad Asim Saleem muhmmad Aasim Rafique Arsalan Haider ilyas Khan Sajid Iqbal Yonis Gulzar Kauser Hameed Department of Computer Engineering Balochistan University of Information TechnologyEngineering and Management SciencesQuetta87300Pakistan Department of Information Technology Balochistan University of Information TechnologyEngineeringand Management SciencesQuetta87300Pakistan Department of Information Systems College of Computer Sciences and Information TechnologyKing Faisal UniversityHofuf in Al-Ahsa31982Saudi Arabia Department of management Information Systems College of Business AdministrationKing Faisal UniversityHofuf in Al-Ahsa31982Saudi Arabia Department of Software Engineering College of ComputingRiphah International UniversityFaisalabad44000Pakistan Department of Electrical Engineering Balochistan University of Information Technology Engineeringand Management SciencesQuetta87300Pakistan Department of mathematics College of Science Al-ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia

machine-to-machine (m2m) communication plays a fundamental role in autonomous IoT (Internet of Things)-based infrastructure, a vital part of the fourth industrial revolution. machine-type communication devices(mTCDs) regularly share extensive data without human intervention while making all types of decisions. Thesedecisions may involve controlling sensitive ventilation systems maintaining uniform temperature, live heartbeatmonitoring, and several different alert systems. many of these devices simultaneously share data to form anautomated system. The data shared between machine-type communication devices (mTCDs) is prone to risk dueto limited computational power, internal memory, and energy capacity. Therefore, securing the data and devicesbecomes challenging due to factors such as dynamic operational environments, remoteness, harsh conditions,and areas where human physical access is difficult. One of the crucial parts of securing mTCDs and data isauthentication, where each devicemust be verified before data transmission. Severalm2mauthentication schemeshave been proposed in the literature, however, the literature lacks a comprehensive overview of current m2mauthentication techniques and the challenges associated with them. To utilize a suitable authentication schemefor specific scenarios, it is important to understand the challenges associated with it. Therefore, this article fillsthis gap by reviewing the state-of-the-art research on authentication schemes in mTCDs specifically concerningapplication categories, security provisions, and performance efficiency.

关键词： Authentication cyber security internet of things machine-type communication devices machine-to-machine communication

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Symmetries,optimal system,exact and soliton solutions of(3+1)-dimensional Gardner-KP equation

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Journal of Ocean Engineering and Science 2024年第2期9卷 178-190页

作者： Amjad Hussain Ashreen Anjum m.Junaid-U-Rehman ilyas Khan mariam A.Sameh Amnah S.Al-Johani Department of mathematics Quaid-I-Azam University 45320Islamabad 44000Pakistan Department of mathematics College of Science Al-ZulfiMajmaah UniversityAl-MajmaahP.O Box 66Majmaah 11952Saudi Arabia Electrical Engineering Department Faculty of Engineering and TechnologyFuture University in EgyptNew Cairo 11845Egypt mathematics Department Faculty of ScienceUniversity of TabukTabukSaudi Arabia

In this research article,the(3+1)-dimensional nonlinear Gardner-Kadomtsov-Petviashvili(Gardner-KP)equation which depicts the nonlinear modulation of periodic waves,is analyzed through the Lie group-theoretic *** the Lie invariance condition,we find the symmetry *** pro-posed model yields eight-dimensional Lie ***,an optimal system of sub-algebras is com-puted,and similarity reductions are *** considered nonlinear partial differential equation is re-duced into ordinary differential equations(ODEs)by utilizing the similarity transformation method(STm),which has the benefit of yielding a large number of accurate traveling wave *** ODEs are further solved to get closed-form solutions of the Gardner-KP equation in some cases,while in other cases,we use the new auxiliary equation method to get its soliton *** evolution profiles of the obtained solutions are examined graphically under the appropriate selection of arbitrary parameters.

关键词： Gardner-KP equation Lie symmetry analysis Optimal system New auxiliary equation method Solitary wave solutions

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Overall Assessment of Heat Transfer for a Rarefied Flow in a microchannel with Obstacles Using Lattice Boltzmann method

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工程与科学中的计算机建模(英文) 2024年第1期138卷 273-299页

作者： Siham Hammid Khatir Naima Omolayo m.Ikumapayi Cheikh Kezrane Abdelkrim Liazid Jihad asad mokdad Hayawi Rahman Farhan Lafta Rashid Naseer Ali Hussien Younes menni Laboratory of Development in mechanics and materials(LDmm) Zian Achour UniversityDjelfaPB 3117Algeria Department of Technology University Center Salhi Ahmed Naama(Ctr.Univ.Naama)P.O.Box 66Naama45000Algeria Department of mechanical and mechatronics Engineering Afe Babalola University Ado Ekiti360101Nigeria Departement of Physics Faculty of ScienceAbou Bekr Belkaid UniversityTlemcen13000Algeria Department of Physics Faculty of Applied SciencesPalestine Technical University-KadoorieTulkarmPalestine Aeronautical Technical Engineering Al-Farahidi UniversityBaghdad10011Iraq mechanical Engineering Department University of KerbalaKarbala56001Iraq Information and Communication Technology Research Group Scientific Research CenterAl-Ayen UniversityThi-QarIraq National University of Science and Technology Dhi QarIraq

The objective of this investigation is to assess the effect of obstacles on numerical heat transfer and fluid flow momentum in a rectangular microchannel(mC).Two distinct configurations were studied:one without obstacles and the other with alternating obstacles placed on the upper and lower *** research utilized the thermal lattice Boltzmann method(LBm),which solves the energy and momentum equations of fluids with the BGK approximation,implemented in a Python coding *** jump and slip velocity conditions were utilized in the simulation for the mC and extended to all obstacle *** study aims to analyze the rarefaction effect,with Knudsen numbers(Kn)of 0.012,0.02,and *** outcomes indicate that rarefaction has a significant impact on the velocity and temperature *** presence of nine obstacles led to slower fluid movement inside the microchannel mC,resulting in faster cooling at the *** mCs with obstacles,the rarefaction effect plays a crucial role in decreasing the Nusselt number(Nu)and skin friction coefficient(Cf).Furthermore,the study demonstrated that the obstacles played a crucial role in boosting fluid flow and heat transfer in the *** findings suggest that the examined configurations could have potential applications as cooling technologies in micro-electro-mechanical systems and microdevice applications.

关键词： microfluid rarefied flow LBm microchannel Knudsen number numerical simulation

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Extended Deep Learning Algorithm for Improved Brain Tumor Diagnosis System

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Intelligent Automation & Soft Computing 2024年第1期39卷 33-55页

作者： m.Adimoolam K.maithili N.m.Balamurugan R.Rajkumar S.Leelavathy Raju Kannadasan mohd Anul Haq ilyas Khan ElSayed m.Tag El Din Arfat Ahmad Khan Department of Computer Engineering Government Polytechnic CollegeSevvapetTiruvallurTamil Nadu602025India Department of Computer Science and Engineering KG Reddy College of Engineering and TechnologyHyderabadTelangana500075India Department of Computer Science and Engineering Sri Venkateswara College of EngineeringSriperumbudurChennai602117India Department of Computer Science and Engineering Annamalai UniversityChidambaramTamil Nadu608002India Department of Computer Science and Engineering Aarupadai Veedu Institute of TechnologyVinayaka Mission Research FoundationPaiyanurTamil Nadu603104India Department of Electrical and Electronics Engineering Sri Venkateswara College of EngineeringSriperumbudur602117India Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of mathematics College of Science Al-ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia Electrical Engineering Department Faculty of Engineering&TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer Science College of ComputingKhon Kaen UniversityKhon Kaen40002Thailand

At present,the prediction of brain tumors is performed using machine Learning(mL)and Deep Learning(DL)*** various mL and DL algorithms are adapted to predict brain tumors to some range,some concerns still need enhancement,particularly accuracy,sensitivity,false positive and false negative,to improve the brain tumor prediction system ***,this work proposed an Extended Deep Learning Algorithm(EDLA)to measure performance parameters such as accuracy,sensitivity,and false positive and false negative *** addition,these iterated measures were analyzed by comparing the EDLA method with the Convolutional Neural Network(CNN)way further using the SPSS tool,and respective graphical illustrations were *** results were that the mean performance measures for the proposed EDLA algorithm were calculated,and those measured were accuracy(97.665%),sensitivity(97.939%),false positive(3.012%),and false negative(3.182%)for ten *** in the case of the CNN,the algorithm means accuracy gained was 94.287%,mean sensitivity 95.612%,mean false positive 5.328%,and mean false negative 4.756%.These results show that the proposed EDLA method has outperformed existing algorithms,including CNN,and ensures symmetrically improved *** EDLA algorithm introduces novelty concerning its performance and particular activation *** proposed method will be utilized effectively in brain tumor detection in a precise and accurate *** algorithm would apply to brain tumor diagnosis and be involved in various medical diagnoses *** the quantity of dataset records is enormous,then themethod’s computation power has to be updated.

关键词： Brain tumor extended deep learning algorithm convolution neural network tumor detection deep learning

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Recent antibacterial agents from biomass derivatives:Characteristics and applications

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Journal of Bioresources and Bioproducts 2024年第3期9卷 283-309页

作者： Nissa Nurfajrin Solihat Alif Faturahman Hidayat R.A.ilyas Senthil muthu Kumar Thiagamani Nur Izyan Wan Azeele Fahriya Puspita Sari maya Ismayati mohammad Irfan Bakshi Zaharaddeen N.Garba m.Hazwan Hussin Witta Kartika Restu Wasrin Syafii Harits Atika Ariyanta Widya Fatriasari Research Center for Biomass and Bioproducts National Research and Innovation Agency(BRIN)Kawasan KST SoekarnoJl Raya Bogor KM 46 Cibinong Bogor 16911Indonesia Department of Bioproducts and Biosystems School of Chemical EngineeringAalto UniversityEspoo 16300Finland Department of Chemical Engineering Faculty of Chemical and Energy EngineeringUniversiti Teknologi MalaysiaJohor 81310Malaysia Centre for Advanced Composite materials Universiti Teknologi MalaysiaJohor 81310Malaysia Institute of Tropical Forestry and Forest Products Universiti Putra MalaysiaSerdang 43400Malaysia Centre of Excellence for Biomass Utilization Universiti Malaysia PerlisPerlis 02600Malaysia Department of mechanical Engineering Kalasalingam Academy of Research and EducationKrishnankoil 626126India Institute of Bioproduct Development(IBD) Universiti Teknologi MalaysiaJohor 81310Malaysia Department of Chemistry Ahmadu Bello UniversityZaria 810211Nigeria materials Technology Research Group(maTReC) School of Chemical SciencesUniversiti Sains MalaysiaMinden 11800Malaysia Research Center for Chemistry National Research and Innovation Agency(BRIN)Kawasan Puspiptek SerpongSouth Tangerang 15314Indonesia Department of Forest Products Faculty of Forestry and EnvironmentIPB UniversityBogor 16680Indonesia Department of Pharmacy Gunadarma UniversityDepok 16424Indonesia Research Collaboration Center of Biomass-Based Nano Cosmetic In collaboration with National Research and Innovation Agency(BRIN)SamarindaEast KalimantanIndonesia

Enhancing awareness of personal cleanliness and antibacterial resistance has intensified the antibacterial substance request on consumable products. Antibacterial agents that have been commercialized nowadays are produced from inorganic and non-renewable substances. This provides several drawbacks, particularly against health and environmental issues. Therefore, many scientists work on substituting fossil-fuel-based antibacterial agents with natural ones such as from biomass. Biomass derivatives, natural abundances of biopolymers in the world, amount to major compounds including polysaccharides (cellulose, hemicellulose, and chitosan) and polyphenol (tannin and lignin) substances which are capable to combat the growth of Gram-positive bacteria and Gram-negative bacteria. To date, no report focuses on a deep understanding of antibacterial properties derived from biomass and the internal and external factors effects. This work provides that gap because comprehensive knowledge is necessary before applying biomass to the products. The potency of biomass derivatives as antibacterial additives is also summarized. Basic knowledge of antibacterial characteristics to the application in products is highlighted in this review. Besides, the discussion about challenges and future perspectives is also delivered.

关键词： Antibacterial Application Biomass derivatives Challenge Future perspectives

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machine Learning Empowered Security and Privacy Architecture for IoT Networks with the Integration of Blockchain

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Intelligent Automation & Soft Computing 2024年第2期39卷 353-379页

作者： Sohaib Latif m.Saad Bin ilyas Azhar Imran Hamad Ali Abosaq Abdulaziz Alzubaidi Vincent Karovic Jr. Department of Computer Science The University of ChenabGujrat50700Pakistan Department of Creative Technologies Air UniversityIslamabad42000Pakistan Computer Science Department College of Computer Science and Information SystemsNajran UniversityNajran66244Saudi Arabia Department of Computer Science Umm Alqura UniversityAlQunfudah28821Saudi Arabia Department of Information Systems Faculty of ManagementComenius University in BratislavaBratislava82005Slovakia

The Internet of Things(IoT)is growing rapidly and impacting almost every aspect of our lives,fromwearables and healthcare to security,traffic management,and fleet management *** has generated massive volumes of data and security,and data privacy risks are increasing with the advancement of technology and network *** access control solutions are inadequate for establishing access control in IoT systems to provide data protection owing to their vulnerability to single-point OF ***,conventional privacy preservation methods have high latency costs and overhead for resource-constrained *** machine learning approaches were also unable to detect denial-of-service(DoS)*** study introduced a novel decentralized and secure framework for blockchain *** avoid single-point OF failure,an accredited access control scheme is incorporated,combining blockchain with local peers to record each transaction and verify the signature to ***-based attribute-based cryptography is implemented to protect data storage privacy by generating threshold parameters,managing keys,and revoking users on the *** innovative contract-based DOS attack mitigation method is also incorporated to effectively validate devices with intelligent contracts as trusted or untrusted,preventing the server from becoming *** proposed framework effectively controls access,safeguards data privacy,and reduces the risk of *** results depict that the suggested framework outperforms the results in terms of accuracy,precision,sensitivity,recall,and F-measure at 96.9%,98.43%,98.8%,98.43%,and 98.4%,respectively.

关键词： machine learning internet of things blockchain data privacy security Industry 4.0

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利用水热二次生长法制备用于H_(2)/CO_(2)分离的KAUST-8膜

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膜科学与技术 2024年第5期44卷 90-99页

作者： asad Sharif 王泓博鲁金明杨建华刘毅大连理工大学吸附与无机膜研究所精细化工国家重点实验室大连116024

KAUST-8纳米片比表面积和孔隙率较高、铝金属位点丰富,因此具有出色的二氧化碳吸附能力.在本研究中,采用水热二次生长技术,在粗糙的大孔α-Al_(2)O_(3)载体管上,引入氧化铝和硝酸镍作为前驱体,其中,Al_(2)O_(3)用于控制无机支柱[AlF_(5)... 详细信息

KAUST-8纳米片比表面积和孔隙率较高、铝金属位点丰富,因此具有出色的二氧化碳吸附能力.在本研究中,采用水热二次生长技术,在粗糙的大孔α-Al_(2)O_(3)载体管上,引入氧化铝和硝酸镍作为前驱体,其中,Al_(2)O_(3)用于控制无机支柱[AlF_(5)(H_(2)O)]^(2-)的生长,Ni(NO_(3))_(2)·6H_(2)O用于提高金属前驱体镍源在溶剂中的溶解度,促进Ni(Ⅱ)-吡嗪方格的形成,并与无机柱中心[AlF_(5)(H_(2)O)]^(2-)反应,合成了多晶KAUST-8膜.并进一步探讨了反应物浓度、时间、温度等合成条件以及溶剂对KAUST-8膜性能的影响.优化后的KAUST-8膜的H_(2)渗透率为1.27×10^(-7)mol/(m^(2)·s·Pa)(25℃、0.1 mPa条件下),H_(2)/CO_(2)的理想选择性为19.3.

关键词： CO_(2)分离 KAUST-8膜氟化金属有机框架膜水热合成 H_(2)纯化

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利用水热二次生长法制备用于H/CO分离的KAUST-8膜

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膜科学与技术 2024年

作者： asad Sharif 王泓博鲁金明杨建华刘毅大连理工大学吸附与无机膜研究所精细化工国家重点实验室

KAUST-8纳米片，其比表面积和孔隙率较高、铝金属位点丰富，因此，具有出色的二氧化碳吸附能力。在本研究中，采用水热二次生长技术，在粗糙的大孔α-Al2O3载体管上，引入氧化铝和硝酸镍作为前驱体，其中，Al2O3用于控制无机支柱[AlF5(H... 详细信息

KAUST-8纳米片，其比表面积和孔隙率较高、铝金属位点丰富，因此，具有出色的二氧化碳吸附能力。在本研究中，采用水热二次生长技术，在粗糙的大孔α-Al2O3载体管上，引入氧化铝和硝酸镍作为前驱体，其中，Al2O3用于控制无机支柱[AlF5(H2O)]2-的生长，Ni(NO3)2·6H2O用于提高金属前驱体镍源在溶剂中的溶解度，促进Ni（II）-吡嗪方格的形成，并与无机柱中心[AlF5(H2O)]2-反应，合成了多晶KAUST-8膜。并进一步探讨了反应物浓度、时间、温度等合成条件以及溶剂对KAUST-8膜性能的影响。优化后的KAUST-8 的H2渗透率为1.27×10-7mol·m-2s-1Pa-1（25°C、1 bar条件下），H2/CO2的理想选择性为19.3。

关键词： CO 分离 KAUST-8膜氟化金属有机框架膜水热合成 H 纯化

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