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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

Enhancing the surface hardness and roughness of engine blades using the shot peening process

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International Journal of Minerals,Metallurgy and Materials 2019年第8期26卷 999-1004页

作者： mohammad A.Omari Hamzah M.mousa Faris M.al-Oqla mohammad aljarrah Department of Mechanical Engineering Jordan University of Science and TechnologyIrbid 22110Jordan Department of Mechanical Engineering The Hashemite UniversityZarqa 13133Jordan Department of Industrial Engineering The Hashemite UniversityZarqa 13133Jordan

The effects of shot peening on the mechanical properties of steel 1070 were studied to enhance the material’s properties and surface *** this study,pressure and exposure time were the main parameters governing surface hardness and surface *** optimal time duration and pressure were determined after several experimental *** in hardness and surface roughness were monitored as the pressure of the shot and the exposure time were ***,the microstructure was evaluated by scanning electron microscopy(SEM)and the images were enhanced by image processing techniques to evaluate the surface *** charts were constructed to estimate the effects of pressure and time on both surface hardness and surface *** novelty of this study is the concentration on engine blades which are frequently used in aircrafts to determine the optimal time–pressure combination for shot peening to achieve suitable mechanical and surface *** results show that shot peening pressure(up to 482.6 kPa for 7 min)has positive effect on enhancing the surface and mechanical properties for steel 1070 blades;however,an increase in either pressure or time above that level adversely affected both surface hardness and surface roughness.

关键词： shot peening roughness hardness engine blades scanning electron microscopy

Secure Channel Estimation Using Norm Estimation Model for 5G Next Generation Wireless Networks

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Computers, Materials & Continua 2025年第1期82卷 1151-1169页

作者： Khalil Ullah Song Jian Muhammad Naeem Ul Hassan Suliman Khan mohammad Babar Arshad Ahmad Shafiq Ahmad Faculty of Information Engineering and Automation Kunming University of Science and TechnologyKunming650500China Department of Computer Science Abbottabad University of Science and TechnologyHavelianAbbottabad22500Pakistan Department of Computing and Electronics Engineering Middle East CollegeMuscat124Oman Department of CS&IT Pak-Austria Fachhochschule Institute of Applied Sciences and Technology MangHaripur22621Pakistan Industrial Engineering Department College of EngineeringKing Saud UniversityRiyadh11421Saudi Arabia

The emergence of next generation networks(NextG),including 5G and beyond,is reshaping the technological landscape of cellular and mobile *** networks are sufficiently scaled to interconnect billions of users and *** in academia and industry are focusing on technological advancements to achieve highspeed transmission,cell planning,and latency reduction to facilitate emerging applications such as virtual reality,the metaverse,smart cities,smart health,and autonomous *** continuously improves its network functionality to support these *** input multiple output(MIMO)technology offers spectral efficiency,dependability,and overall performance in *** article proposes a secure channel estimation technique in MIMO topology using a norm-estimation model to provide comprehensive insights into protecting NextG network components against adversarial *** technique aims to create long-lasting and secure NextG networks using this extended *** viability of MIMO applications and modern AI-driven methodologies to combat cybersecurity threats are explored in this ***,the proposed model demonstrates high performance in terms of reliability and accuracy,with a 20%reduction in the MalOut-RealOut-Diff metric compared to existing state-of-the-art techniques.

关键词： Next generation networks massive mimo communication network artificial intelligence 5G adversarial attacks channel estimation information security

Engendered nanoparticles for treatment of brain tumors

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Oncology Research 2025年第1期33卷 15-26页

作者： SOROUSH SOLEYMANI mohammad DOROUDIAN MAHDIEH SOEZI alI BELADI KIARASH ASGARI ASO MOBARAKSHAHI ARYANA AGHAEIPOUR RONAN MACLOUGHLIN Department of Cell and Molecular Biology School of Biological SciencesUniversity of LeicesterLeicesterLE17RHUK Department of Cell and Molecular Biology Faculty of Biological SciencesKharazmi UniversityTehran15719-14911Iran Cancer Epidemiology Research Center Aja University of Medical SciencesTehran14117-18541Iran Medical Biotechnology Research Center Aja University of Medical SciencesTehran14117-18541Iran Department of Life Sciences Faculty of Natural SciencesImperial College LondonLondonSW72AZUK School of Pharmacy and Biomolecular Sciences Royal College of Surgeons in Ireland(RCSI)DublinD02 YN77Ireland Research and Development Science and Emerging TechnologiesAerogen Ltd.Galway Business ParkGalwayH91 HE94Ireland School of Pharmacy and Pharmaceutical Sciences Trinity CollegeDublinD02 PN40Ireland

Brain metastasis and primary glioblastoma multiforme represent the most common and lethal malignant brain *** median survival time is typically less than a year after *** of the major challenges in treating these cancers is the efficiency of the transport of drugs to the central nervous *** blood-brain barrier is cooperating with advanced stages of *** blood-brain barrier poses a significant challenge to delivering systemic medications to brain *** delivery systems have emerged as promising tools for effectively crossing this ***,the development of smart nanoparticles brings new hope for cancer diagnosis and *** nanoparticles improve drug delivery efficiency,allowing for the creation of targeted and stimuli-responsive delivery *** review highlights recent advancements in nanoparticle and smart nanoparticle technologies for brain cancer treatment,exploring the range of nanoparticles under development,their applications,targeting strategies,and the latest progress in enhancing transport across the blood-brain *** also addresses the ongoing challenges and potential benefits of these innovative approaches.

关键词： Nanoparticles Smart nanoparticles Stimuli responsive nanoparticles Targeted nanoparticles Blood-brain barrier(BBB) Brain cancer

Smart Mina: LoRaWAN Technology for Smart Fire Detection Application for Hajj Pilgrimage

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Computer Systems Science & Engineering 2022年第1期40卷 259-272页

作者： mohammad al Mojamed Computer Science Department Computing College-AlqunfudahUMM Al-QURA UniversityMeccaSaudi Arabia

The Long-Range Wide Area Network(LoRaWAN)is one of the used communication systems that serve and enables the deployment of the Internet of Things(IoT),which occasionally transmit small size *** part of the Low Power Wide Area Network(LPWAN),LoRaWAN is characterized by its ability for low power *** addition,it is built to provide more extended coverage and higher capacity with minimum *** this paper,we investigate the feasibility and scalability of LoRaWAN for the Mina area using a realistic network ***,known as the world’s largest tent city,is a valley located in the east of Makkah city and surrounded by *** accommodates up to 3 million pilgrims annually and contains more than 100000 *** performance was evaluated based on a fire detection-like *** simulations were conducted using the OMNeT++simulator and Flora model to determine the delivery ratio,collision,and SF distribution for the simulated sce-nario with a network consisting of up to ten thousand end *** conducted simulations show a promising result for LoRaWAN technology for Mina *** showed a consistent performance for LoRaWAN in most simulated scenarios when a high success ratio was achieved.

关键词： LoRa LoRaWAN LPWAN IOT flora smart city Mina

Design of an Executable ANFIS-based Control System to Improve the Attitude and altitude Performances of a Quadcopter Drone

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International Journal of Automation and computing 2021年第1期18卷 124-140页

作者： mohammad al-Fetyani mohammad Hayajneh Adham alsharkawi Department of Mechatronics Engineering The University of JordanAmman11942Jordan Department of Mechatronics Engineering The Hashemite UniversityZarqa13133Jordan

Nowadays,quadcopters are presented in many life applications which require the performance of automatic takeoff,trajectory tracking,and automatic ***,researchers are aiming to enhance the performance of these vehicles through low-cost sensing solutions and the design of executable and robust control *** to high nonlinearities,strong couplings and under-actuation,the control design process of a quadcopter is a rather challenging ***,the main objective of this work is demonstrated through two main *** first is the design of an adaptive neuro-fuzzy inference system(ANFIS)controller to develop the attitude and altitude of a *** second is to create a systematic framework for implementing flight controllers in embedded systems.A suitable model of the quadcopter is also developed by taking into account aerodynamics *** show the effectiveness of the ANFIS approach,the performance of a well-trained ANFIS controller is compared to a classical proportional-derivative(PD)controller and a properly tuned fuzzy logic *** controllers are compared and tested under several different flight conditions including the capability to reject external *** the first stage,performance evaluation takes place in a nonlinear simulation ***,the ANFIS-based controllers alongside attitude and position estimators,and precision landing algorithms are implemented for executions in a real-time *** precision landing systems,an IR-camera is used to detect an IR-beacon on the ground for precise *** flight tests of a quadcopter are conducted for results *** simulations and experiments demonstrated superior results for quadcopter stability in different flight scenarios.

关键词： Quadcopter proportional integral derivate(PID)control fuzzy control adaptive neuro-fuzzy altitude control attitude control

The Caputo–Fabrizio time-fractional Sharma–Tasso–Olver–Burgers equation and its valid approximations

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Communications in Theoretical Physics 2022年第7期74卷 21-29页

作者： Kamyar Hosseini mousa Ilie mohammad Mirzazadeh Dumitru Baleanu Choonkil Park Soheil Salahshour Department of Mathematics Rasht BranchIslamic Azad UniversityRashtIran Department of Mathematics Near East University TRNCMersin ioTurkey Department of Engineering Sciences Faculty of Technology and EngineeringEast of GuilanUniversity of GuilanP.C.44891-63157 Rudsar-VajargahIran Department of Mathematics Faculty of Arts and SciencesCankaya UniversityAnkara06530Turkey Institute of Space Sciences Magurele-BucharestR.76900Romania Research Institute for Natural Sciences Hanyang UniversitySeoul 04763Republic of Korea Faculty of Engineering and Natural Sciences Bahcesehir UniversityIstanbulTurkey

Studying the dynamics of solitons in nonlinear time-fractional partial differential equations has received substantial attention,in the last *** main aim of the current investigation is to consider the time-fractional Sharma–Tasso–Olver–Burgers(STOB)equation in the Caputo–Fabrizio(CF)context and obtain its valid approximations through adopting a mixed approach composed of the homotopy analysis method(HAM)and the Laplace *** existence and uniqueness of the solution of the time-fractional STOB equation in the CF context are investigated by demonstrating the Lipschitz condition forφ(x,t;u)as the kernel and giving some *** illustrate the CF operator effect on the dynamics of the obtained solitons,several two-and threedimensional plots are formally *** is shown that the mixed approach is capable of producing valid approximations to the time-fractional STOB equation in the CF context.

关键词： time-fractional Sharma-Tasso-Olver-Burgers equation Caputo-Fabrizio context mixed approach existence and uniqueness valid approximations

A Duty Cycle-Based Gateway Selection algorithm for LoRaWAN Downlink Communication

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Computer Systems Science & Engineering 2023年第6期45卷 2953-2970页

作者： mohammad al Mojamed Computer Science Department Umm Al-Qura UniversityAl-QunfudahSaudi Arabia

Long Range Wide Area Network(LoRaWAN)has been developed to meet the requirements for the enormous device-to-device communication of Inter-net of Things(IoT)networks,which consist of a large number of participating devices spread over large coverage areas with low data rates and low power *** supports communications in both directions,uplink,and downlink ***,the downlink communication in the current LoRaWAN raises the bottleneck issue at gateways due to the used gateway selection *** paper proposes a novel gateway selection algorithm based on the duty cycle time-off values for the existing gateways,Duty Cycle Gateway Selection(DCGS),to direct acknowledgment packets as downlink traffic towards the most suitable ***,the proposed system avoids subsequent retransmission of previously sent traffic that leads to excessive traffic overloading the *** proposed system avoids exhausting a gateway duty cycle with downlink traffic by distributing the downlink traffic among available gateways based on the duty cycle time *** is evaluated using FloRa and INET frameworks in the well-known network simulator OMNeT++.The result shows the superior perfor-mance of the proposed approach over the existing Signal-to-Noise ratio(SNR)based selection *** clearly indicates that the DCGS maintains a better confirmed packet delivery rate while reducing number of retransmissions,colli-sions,and power consumption.

关键词： LoRa LoRaWAN gateway selection IoT downlink LPWAN

Epileptic Seizures Diagnosis Using Amalgamated Extremely Focused EEG Signals and Brain MRI

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Computers, Materials & Continua 2023年第1期74卷 623-639页

作者： Farah mohammad Saad al-Ahmadi Department of Computer Science King Saud UniversityRiyadh11543Saudi Arabia

There exists various neurological disorder based diseases like tumor,sleep disorder,headache,dementia and *** these,epilepsy is the most common neurological illness in humans,comparable to *** is a severe chronic neurological illness that can be discovered through analysis of the signals generated by brain neurons and brain Magnetic resonance imaging(MRI).Neurons are intricately coupled in order to communicate and generate signals from human *** to the complex nature of electroencephalogram(EEG)signals and MRI’s the epileptic seizures detection and brain related problems diagnosis becomes a challenging *** based techniques and machine learning models are continuously giving their contributions to diagnose all such diseases in a better way than the normal process of *** performancemay sometime degrade due to missing information,selection of poor classification model and unavailability of quality data that are used to train the models for better *** research work is an attempt to epileptic seizures detection by using amulti focus dataset based on EEG signals and *** key steps of this work are:feature extraction having two different streams i.e.,EEGusingwavelet transformation along with SVD-Entropy,and MRI using convolutional neural network(CNN),after extracting features fromboth streams,feature fusion is applied to generate feature vector used by support vector machine(SVM)to diagnose the epileptic *** the experimental evaluation and results comparison with the current state-of-the-art techniques,it has been concluded that the performance of the proposed scheme is better than the existing models.

关键词： Epilepsy EEG MRI CNN SVM