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Decoding molecular mechanisms:brain aging and Alzheimer's disease

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Neural Regeneration Research 2025年第8期20卷 2279-2299页

作者： Mahnoor Hayat Rafay ali Syed Hammad Qaiser Mohammad Uzair Khalid Al-Regaiey Roaa Khallaf Lubna Abdullah mohammed Albassam Imdad Kaleem Xueyi Wang Ran Wang Mehwish SBhatti Shahid Bashir Atta-ur-Rahman School of Applied Biosciences(ASAB) National University of Sciences and Technology(NUST)IslamabadPakistan Department of Biotechnology Quaid-i-Azam UniversityIslamabadPakistan Department of Biological Sciences Faculty of Basic&Applied SciencesInternational Islamic University Islamabad(IIUI)IslamabadPakistan Department of Bioengineering King Fahd University of Petroleum and MineralsDhahranSaudi Arabia Department of Physiology College of MedicineKing Saud UniversityRiyadhSaudi Arabia Department of Neurology Neuroscience CenterKing Fahad Specialist HospitalDammamSaudi Arabia Department of Mental Health Neuroscience CenterKing Fahad Specialist HospitalDammamSaudi Arabia Department of Biosciences Commission on Science and Technology for Sustainable Development in the South(COMSATS University)IslamabadPakistan Department of Psychiatry The First Hospital of Hebei Medical UniversityShijiazhuangHebei ProvinceChina Mental Health Institute of Hebei Medical University ShijiazhuangHebei ProvinceChina Department of Neurobiology and Behavior University of CaliforniaIrvineCAUSA Neuroscience Center King Fahad Specialist Hospital DammamDammamSaudi Arabia

The complex morphological,anatomical,physiological,and chemical mechanisms within the aging brain have been the hot topic of research for *** aging process alters the brain structure that affects functions and cognitions,but the worsening of such processes contributes to the pathogenesis of neurodegenerative disorders,such as Alzheimer's *** these observable,mild morphological shifts,significant functional modifications in neurotransmission and neuronal activity critically influence the aging *** these changes is important for maintaining cognitive health,especially given the increasing prevalence of age-related conditions that affect *** review aims to explore the age-induced changes in brain plasticity and molecular processes,differentiating normal aging from the pathogenesis of Alzheimer's disease,thereby providing insights into predicting the risk of dementia,particularly Alzheimer's disease.

关键词： Alzheimer’s disease brain aging cognitive health dementia molecular mechanisms neuronal activity neuroplasticity neurotransmission

Mutated Leader Sine-Cosine Algorithm for Secure Smart IoT-Blockchain of Industry 4.0

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Computers, Materials & Continua 2022年第12期73卷 5367-5383页

作者： Mustufa haider Abidi Hisham Alkhalefah Muneer Khan mohammed Industrial Engineering Department College of EngineeringKing Saud UniversityP.O.Box-800Riyadh11421Saudi Arabia

In modern scenarios,Industry 4.0 entails invention with various advanced technology,and blockchain is one among *** are incorporated to enhance privacy,data transparency aswell as security for both large and small scale *** 4.0 is considered as a new synthesis fabrication technique that permits the manufacturers to attain their target ***,because numerous devices and machines are involved,data security and privacy are always *** achieve intelligence in Industry 4.0,blockchain technologies can overcome potential cybersecurity ***,the blockchain and internet of things(IoT)are gaining more attention because of their favorable outcome in several *** they generate massive data that need to be effectively optimized and in this research work,deep learning-based techniques are employed for *** paper proposes a novel mutated leader sine cosine algorithm-based deep convolutional neural network(MLSC-DCNN)in order to attain a secure and optimized IoT blockchain for Industry ***,an MLSC is hybridized using a mutated leader and sine cosine algorithm to enhance the weight function and minimize the loss factor of ***,the experimentation is carried out for various simulation *** comparative analysis is made for Best Tip Selection Method(BTSM),Smart Block-Software Defined Networking(SDN),and the proposed *** evaluation results show that the proposed approach attains better performances than BTSM and SDN.

关键词： Industry 4.0 internet of things(IoT) blockchain deep convolutional neural network mutated leader

Generating Pairs for the Fischer Group Fi_(23)

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Algebra Colloquium 2020年第4期27卷 713-730页

作者： Faryad ali mohammed Al-Kadhi Department of Mathematics and Statistics College of Science Imam Mohammad Ibn Saud Islamic University(IMSIU)P.O.Box 90950Riyadh 11623Saudi Arabia

A group G is said to be(l,m,n)-generated if it is a quotient of the triangle groupT(l,m,n)=(x,y,z|x^(l)=y^(m)=z^(n)=xyz=1).Moori posed in 1993 the question of finding all the triples(l,m,n)such that non-abelian finite simple groups are(l,m,n)-*** partially answer this question for the Fischer sporadic simple group *** particular,we investigate all(2,q,r)-generations for the Fischer sporadic simple group Fi23,where q and r are distinct prime divisors of|Fi_(23)|.

关键词： generating pair Fischer group Fi_(23) sporadic group generating triple

Experimental and computational study of annealed nickel sulfide quantum dots for catalytic and antibacterial activity

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Nano Materials Science 2024年第3期6卷 355-364页

作者： Muhammad Ikram Sawaira Moeen ali haider Anwar Ul-Hamid Haya Alhummiany Hamoud H.Somaily Souraya Goumri-Said mohammed Benali Kanoun Solar Cell Applications Research Lab Department of PhysicsGovernment College University LahoreLahore54000PunjabPakistan Department of Clinical Sciences Faculty of Veterinary and Animal SciencesMuhammad Nawaz ShareefUniversity of Agriculture66000MultanPunjabPakistan Core Research Facilities King Fahd University of Petroleum&MineralsDhahran31261Saudi Arabia Department of Physics Faculty of ScienceUniversity of JeddahP.O.Box 13151Jeddah21493Saudi Arabia Department of Physics Faculty of ScienceKing Khalid UniversityP.O.Box 9004AbhaSaudi Arabia Physics Department College of Science and General StudiesAlfaisal UniversityP.O.Box 50927Riyadh11533Saudi Arabia Department of Mathematics and Sciences College of Humanities and SciencesPrince Sultan UniversityP.O.Box 66833Riyadh11586Saudi Arabia

This research investigates the hydrothermal synthesis and annealing duration effects on nickel sulfide(NiS_(2) quantum dots(QDs)for catalytic decolorization of methylene blue(MB)dye and antimicrobial *** size increased with longer annealing,reducing catalytic ***–vis,XRD,TEM,and FTIR analyses probed optical structural,morphological,and vibrational *** confirmed NiS2's anorthic structure,with crystallite size growing from 6.53 to 7.81 nm during extended ***–Vis exhibited a bathochromic shift,reflecting reduced band gap energy(Eg)in NiS_(2).TEM revealed NiS_(2)QD formation,with agglomerated QD average size increasing from 7.13 to 9.65 nm with prolonged *** NiS_(2) showed significant MB decolorization(89.85%)in acidic *** NiS_(2) QDs demonstrated notable antibacterial activity,yielding a 6.15mm inhibition zone against Escherichia coli(***)compared to ***-principles computation supported a robust interaction between MB and NiS_(2),evidenced by obtained adsorption *** study highlights the nuanced relationship between annealing duration,structural changes,and functional properties in NiS_(2)QDs,emphasizing their potential applications in catalysis and antibacterial interventions.

关键词： NiS_(2) antibacterial quantum dots dye degradation DFT

Potential Antidiabetic and Anti-Genotoxic Activities of Silver Nanoparticles of Alkaloid Extract of Rhazya stricta in Rat Animal Model

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Phyton-International Journal of Experimental Botany 2021年第6期90卷 1749-1762页

作者： mohammed ali Ashehri Biology Department Faculty of ScienceUniversity of TabukTabuk47512Saudi Arabia

In most of Arabian courtiers Rhazya stricta is extensively utilized in public medicine for several diseases *** this study,crude alkaloid extract of ***(CAERS)coated with silver nanoparticles(CAERS-AgNPs)as potential treatment against diabetes in DM animal model was *** albino male rats(n=80)were injected with STZ to induce Diabetes Mellitus type-2(DM).DM-rats were injected different doses of CAERS or CAERS-nanoparticles(CAERS-NPs)for 2 *** results exhibited that mRNA expression of insulin and insulin receptor was down-regulated,activity levels of antioxidant enzymes were decreased,generation of ROS mediated DNA adducts and apoptosis in DM-rats was increased significantly than those in negative control *** contrast,the expression of insulin and insulin receptor genes was up-regulated,activity levels of antioxidant enzymes,ROS generation,DNA adducts and apoptosis incidence in DM-rats supplemented with high dose of CAERS and all doses of CAERS-NPs were *** conclusion:*** nanoparticles improved the anti-diabetic effect of the plant much more than the powder form of the *** action could be attributed to modification of the chemical and physical properties of the plant *** properties modification might be improved the ability of plant compounds to penetrate the cell membrane which facilitating release of plant materials into the target cells.

关键词： Diabetes Rhazya stricta nanotechnology gene expression DNA damage apoptosis

Identification of novel catalytic features of endo-β-1,4-glucanase produced by mulberry longicorn beetle Apriona germari

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2007年第10期8卷 765-770页

作者： SAMI Amtul Jamil haider mohammed Kamran Institute of Biochemistry and Biotechnology University of the Punjab Lahore 54594 Pakistan

Mulberry longicorn beetle, Apriona germari, has been reported to produce two endo-β-1,4-glucanases or AgEGases (accession Nos. Q6SS52 and Q5XQD1). AgEGase sequence contains catalytic motif (amino acid residues 37~48), which is the characteristic of family Glycohydrolase 45 and is identified as the substrate binding site. The application of bioinformatics ap-proaches includes sequence analysis, structural modeling and inhibitor docking to relate the structure and function of AgEGases. We have dissected the sequence and structure of AgEGase catalytic motif and compared it with crystal structure of Humicola insolens endoglucanases V. The results show an involvement of sulfur containing amino acid residues in the active site of the enzyme. Cys residues and position of disulfide bonds are highly conserved between the two structures of endoglucanases of A. germari. Surface calculation of AgEGase structure in the absence of Cys residues reveals greater accessibility of the catalytic site to the substrate involving Asp42, a highly conserved residue. For the inhibition study, tannin-based structure was docked into the catalytic site of AgEGase using ArgusLab 4.0 and it resulted in a stable complex formation. It is suggested that the inhibition could occur through formation of a stable transition state analog-enzyme complex with the tannin-based inhibitor, as observed with other insect cellulases in our laboratory.

关键词： Cellulases AgEGase Apriona germari Inhibition Anthocyanidins

Reinforcement Learning-Based Optimization for Drone Mobility in 5G and Beyond Ultra-Dense Networks

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Computers, Materials & Continua 2021年第9期68卷 3807-3823页

作者： Jawad Tanveer Amir haider Rashid ali Ajung Kim School of Optical Engineering Sejong UniversitySeoul05006Korea School of Intelligent Mechatronics Engineering Sejong UniversitySeoul05006Korea

Drone applications in 5th generation(5G)networks mainly focus on services and use cases such as providing connectivity during crowded events,human-instigated disasters,unmanned aerial vehicle traffic management,internet of things in the sky,and situation awareness.4G and 5G cellular networks face various challenges to ensure dynamic control and safe mobility of the drone when it is tasked with delivering these *** drone can fly in three-dimensional *** drone connectivity can suffer from increased handover cost due to several reasons,including variations in the received signal strength indicator,co-channel interference offered to the drone by neighboring cells,and abrupt drop in lobe edge signals due to antenna *** baseline greedy handover algorithm only ensures the strongest connection between the drone and small cells so that the drone may experience several *** for fast environment learning,machine learning techniques such as Q-learning help the drone fly with minimum handover cost along with robust *** this study,we propose a Q-learning-based approach evaluated in three different *** handover decision is optimized gradually using Q-learning to provide efficient mobility support with high data rate in time-sensitive applications,tactile internet,and haptics *** results demonstrate that the proposed algorithm can effectively minimize the handover cost in a learning *** work presents a notable contribution to determine the optimal route of drones for researchers who are exploring UAV use cases in cellular networks where a large testing site comprised of several cells with multiple UAVs is under consideration.

关键词： 5G dense network small cells mobility management reinforcement learning performance evaluation handover management

Bangla language modeling algorithm for automatic recognition of hand-sign-spelled Bangla sign language

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Frontiers of Computer Science 2020年第3期14卷 45-64页

作者： Muhammad Aminur RAHAMAN Mahmood JASIM Md.haider ali Md.HASANUZZAMAN Department of Computer Science and Engineering University of DhakaDhaka-1000Bangladesh

Because of using traditional hand-sign segmentation and classification algorithm,many diversities of Bangla language including joint-letters,dependent vowels *** representing 51 Bangla written characters by using only 36 hand-signs,continuous hand-sign-spelled Bangla sign language(BdSL)recognition is *** paper presents a Bangla language modeling algorithm for automatic recognition of hand-sign-spelled Bangla sign language which consists of two *** phase is designed for hand-sign classification and the second phase is designed for Bangla language modeling algorithm(BLMA)for automatic recognition of hand-sign-spelled Bangla sign *** first phase,we have proposed two step classifiers for hand-sign classification using normalized outer boundary vector(NOBV)and window-grid vector(WGV)by calculating maximum inter correlation coefficient(ICC)between test feature vector and pre-trained feature *** first,the system classifies hand-signs using *** classification score does not satisfy specific threshold then another classifier based on WGV is *** system is trained using 5,200 images and tested using another(5,200×6)images of 52 hand-signs from 10 signers in 6 different challenging environments achieving mean accuracy of 95.83%for classification with the computational cost of 39.972 milliseconds per *** the Second Phase,we have proposed Bangla language modeling algorithm(BLMA)which discovers all"hidden characters"based on"recognized characters"from 52 hand-signs of BdSL to make any Bangla words,composite numerals and sentences in BdSL with no training,only based on the result of first *** the best of our knowledge,the proposed system is the first system in BdSL designed on automatic recognition of hand-sign-spelled BdSL for large *** system is tested for BLMA using hand-sign-spelled 500 words,100 composite numerals and 80 sentences in BdSL achieving mean accuracy of 93.50%,95.50%and 90.50%respectively.

关键词： Bangla sign language(BdSL) hand-sign classification Bangla language modeling rules(BLMR) Bangla language modeling algorithm(BLMA)

MoBShield:A Novel XML Approach for Securing Mobile Banking

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Computers, Materials & Continua 2024年第5期79卷 2123-2149页

作者： Saeed Seraj ali Safaa Sadiq OmprakashKaiwartya Mohammad Aljaidi Alexandros Konios mohammed ali mohammed Abazeed Department of Computer Science Nottingham Trent UniversityClifton LaneNottinghamNG118NSUK Department of Computer Science Faculty of Information TechnologyZarqa UniversityZarqa13110Jordan Department of Computer Science King Khalid UniversityAbha61421Saudi Arabia

Mobile banking security has witnessed significant R&D attention from both financial institutions and *** is due to the growing number of mobile baking applications and their reachability and usefulness to ***,these applications are also attractive prey for cybercriminals,who use a variety of malware to steal personal banking *** literature in mobile banking security requiresmany permissions that are not necessary for the application’s intended security *** this context,this paper presents a novel efficient permission identification approach for securing mobile banking(MoBShield)to detect and prevent malware.A permission-based dataset is generated for mobile banking malware detection that consists large number of malicious adware apps and benign apps to use as training *** dataset is generated from 1650 malicious banking apps of the Canadian Institute of Cybersecurity,University of New Brunswick and benign apps from Google Play.A machine learning algorithm is used to determine whether amobile banking application ismalicious based on its permission ***,an eXplainable machine learning(XML)approach is developed to improve trust by explaining the reasoning behind the algorithm’s *** evaluation tests that the approach can effectively and practically identify mobile banking malware with high precision and reduced false ***,the adapted artificial neural networks(ANN),convolutional neural networks(CNN)and XML approaches achieve a higher accuracy of 99.7%and the adapted deep neural networks(DNN)approach achieves 99.6%accuracy in comparison with the state-of-the-art *** promising results position the proposed approach as a potential tool for real-world scenarios,offering a robustmeans of identifying and thwarting malware inmobile-based banking ***,MoBShield has the potential to significantly enhance the security and trustworthiness of

关键词： Security malware detection deep learning convolutional neural networks deep neural networks