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Enhancing Mild Cognitive Impairment Detection through Efficient Magnetic Resonance Image Analysis

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Computers, Materials & Continua 2024年第8期80卷 2081-2098页

作者： Atif Mehmood Zhonglong Zheng rizwan Khan Ahmad Al Smadi Farah Shahid Shahid Iqbal Mutasem K.Alsmadi Yazeed Yasin Ghadi syed Aziz Shah Mostafa M.Ibrahim Department of Computer Science and Technology Zhejiang Normal UniversityJinhua321002China Zhejiang Institute of Photoelectronics&Zhejiang Institute for Advanced Light Source Zhejiang Normal UniversityJinhua321004China Department of Data Science and Artificial Intelligence Zarqa UniversityZarqa13100Jordan School of Chemical and Environmental Engineering College of ChemistryChemical Engineering andMaterials ScienceSoochow UniversitySuzhou215123China Department of Management Information Systems College of Applied Studies and Community ServiceImam Abdulrahman Bin Faisal UniversityDammam32244Saudi Arabia Department of Computer Science Al Ain UniversityAbu Dhabi999041United Arab Emirates Department of Electrical Engineering Faculty of EngineeringMinia UniversityMinia61519Egypt Healthcare Technology and Innovation Theme Faculty Research Centre for Intelligent HealthcareCoventry UniversityCoventryCV48BWUK

Neuroimaging has emerged over the last few decades as a crucial tool in diagnosing Alzheimer’s disease(AD).Mild cognitive impairment(MCI)is a condition that falls between the spectrum of normal cognitive function and ***,previous studies have mainly used handcrafted features to classify MCI,AD,and normal control(NC)*** paper focuses on using gray matter(GM)scans obtained through magnetic resonance imaging(MRI)for the diagnosis of individuals with MCI,AD,and *** improve classification performance,we developed two transfer learning strategies with data augmentation(i.e.,shear range,rotation,zoom range,channel shift).The first approach is a deep Siamese network(DSN),and the second approach involves using a cross-domain strategy with customized *** performed experiments on the Alzheimer’s Disease Neuroimaging Initiative(ADNI)dataset to evaluate the performance of our proposed *** experimental results demonstrate superior performance in classifying the three binary classification tasks:NC ***,NC ***,and MCI ***,we achieved a classification accuracy of 97.68%,94.25%,and 92.18%for the three cases,*** study proposes two transfer learning strategies with data augmentation to accurately diagnose MCI,AD,and normal control individuals using GM *** findings provide promising results for future research and clinical applications in the early detection and diagnosis of AD.

关键词： Alzheimer’s disease mild cognitive impairment normal control transfer learning classification augmentation

Natural convection of CuO–water nanofluid filled in a partially heated corrugated cavity:KKL model approach

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Communications in Theoretical Physics 2020年第8期72卷 27-42页

作者： rizwan Ul Haq Muhammad Usman Ebrahem A Algehyne Department of Electrical Engineering Bahria UniversityIslamabadPakistan BIC-ESAT College of EngineeringPeking UniversityBeijing 100871China State Key Laboratory for Turbulence and Complex Systems Department of Mechanics and Engineering SciencePeking UniversityBeijing 100871China Department of Mathematics Faculty of SciencesUniversity of TabukP.O.Box 741Tabuk 71491Saudi Arabia

In this article, flow and heat transfer inside a corrugated cavity is analyzed for natural convection with a heated inner obstacle. Thermal performance is analyzed for Cu O–water inside a partially heated domain by defining the constraint along the boundaries. For nanofluid analysis, the Koo and Kleinstreuer Li(KKL) model is implemented to deal with the effective thermal conductivity and viscosity. A heated thin rod is placed inside the corrugated cavity and the bottom portion of the corrugated cavity is partially heated. The dimensionless form of nonlinear partial differential equations are obtained through the compatible transformation along with the boundary constraint. The finite element method is executed to acquire the numerical solution of the obtained dimensional system. Streamlines, isotherms and heat transfers are analyzed for the flow field and temperature distribution. The Nusselt number is calculated at the surface of the partially heated domain for various numerical values of emerging parameters by considering the inner obstacle at cold, adiabatic and heated conditions. The computational simulation was performed by introducing various numerical values of emerging parameters. Important and significant results have been attained for temperature and velocities(in both x-and y-directions) at the vertically and horizontally mean positions of the corrugated duct.

关键词： heat transfer nanofluid finite element method KKL corrugated cavity

Reversible and Reproducible Giant Universal Electroresistance Effect

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Chinese Physics Letters 2011年第10期28卷 217-219页

作者： syed rizwan ZHANG Sen YU Tian ZHAO Yong-Gang ZHANG Shu-Feng HAN Xiu-Feng Institute of Physics Chinese Academy of SciencesBeijing 100190 Department of Physics Tsinghua UniversityBeijing 100084 Department of Physics University of ArizonaTucsonArizona 85721USA

After the prediction of the giant electroresistance effect,much work has been carried out to find this effect in practical *** demonstrate a novel way to obtain a large electroresistance(ER)effect in the multilayer system at room *** current-in-plane(CIP)electric transport measurement is performed on the multilayer structure consisting of(011)-Pb(Mg_(1/3)Nb_(2/3))O_(3)−PbTiO_(3)(PMN−PT)/Ta/Al-O/*** is found that the resistance of the top metallic layer shows a hysteretic behavior as a function electric field,which corresponds well with the substrate polarization versus electric field(P–E)*** reversible hysteretic R–E behavior is independent of the applied magnetic field as well as the magnetic structure of the top metallic layer and keeps its memory *** novel memory effect is attributed to the polarization reversal induced electrostatic potential,which is felt throughout the multilayer stack and is enhanced by the dielectric Al-O layer producing unique hysteretic,reversible,and reproducible resistance switching *** novel universal electroresistance effect will open a new gateway to the development of future multiferroic memory devices operating at room temperature.

关键词： resistance multilayer effect

Persistent port-site sinus in a patient after laparoscopic cholecystectomy:watch out for gallbladder tuberculosis

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Hepatobiliary & Pancreatic Diseases International 2011年第3期10卷 328-329页

作者： Tariq Mansoor syed Amjad Ali Rizvi rizwan Ahmad Khan Department of Surgery Jawaharlal Nehru Medical College HospitalAligarh Muslim University

BACKGROUND:The gallbladder is rarely affected by mycobacterium *** diagnosis of gallbladder tuberculosis is often not suspected prior to surgery or ***:A young female patient underwent laparoscopic cholecystectomy but presented with a persistently discharging sinus from the port ***:The gallbladder biopsy revealed granulomas typical of chronic granulomatous *** condition of the patient was improved by antitubercular ***:Presentation of gallbladder tuberculosis as a persistent discharging sinus at the port site in a patient who has undergone a laparoscopic cholecystectomy is extremely *** diagnosis was reached by histopathology *** rarity of the presentation prompted us to report the case.

关键词： port-site sinus laparoscopic cholecystectomy gallbladder tuberculosis

High surface area and mesoporous activated carbon from KOH-activated dragon fruit peels for methylene blue dye adsorption:Optimization and mechanism study

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Chinese Journal of Chemical Engineering 2021年第4期34卷 281-290页

作者： Ali H.Jawad Ahmed Saud Abdulhameed Lee D.Wilson syed Shatir A.syed-Hassan Zeid A.ALOthman Mohammad rizwan Khan Faculty of Applied Sciences Universiti Teknologi MARA40450 Shah AlamSelangorMalaysia Department of Medical Instrumentation Engineering Al-Mansour University CollegeBaghdadIraq Department of Chemistry University of SaskatchewanSaskatoonSaskatchewan S7N 5C9 Canada Faculty of Chemical Engineering Universiti Teknologi MARA40450 Shah AlamSelangorMalaysia Chemistry Department College of ScienceKing Saud UniversityRiyadh 11451Saudi Arabia

In this study,an alternative precursor for production of activated carbon was introduced using dragon fruit(Hylocereus costaricensis)peel(DFP).Moreover,KOH was used as a chemical activator in the thermal carbonization process to convert DFP into activated carbon(DFPAC).In order to accomplish this research,several approaches were employed to examine the elemental composition,surface properties,amorphous and crystalline nature,essential active group,and surface morphology of the *** BrunauerEmmettTeller test demonstrated a mesoporous structure of the DFPAC has a high surface area of 756.3 m2g *** cationic dye Methylene Blue(MB)was used as a probe to assess the efficiency of DFPAC towards the removal of MB dye from aqueous *** effects of adsorption input factors(*** dose(A:0.040.12 g L 1),pH(B:310),and temperature(C:3050℃))were investigated and optimized using statistical analysis(*** design(BBD)).The adsorption kinetic model can be best categorized as the pseudofirst order(PFO).Whereas,the adsorption isotherm model can be best described by Langmuir model,with maximum adsorption capacity of DFPAC for MB dye was 195.2 mg g 1 at 50℃.The adsorption mechanism of MB by DFPAC surface was attributed to the electrostatic interaction,pp interaction,and ***,the results support the ability of DFP to be a promising precursor for production of highly porous activated carbon suitable for removal of cationic dyes(***).

关键词： Statistical modeling Activated carbon Dragon fruit peels Box-Behnken design Methylene blue dye Adsorption

Methods of screening,monitoring and management of cardiac toxicity induced by chemotherapeutics

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Chinese Chemical Letters 2022年第6期33卷 2773-2782页

作者： Humayra Afrin Christiancel Joseph Salazar Mohsin Kazi syed rizwan Ahamad Majed Alharbi Md Nurunnabi Environmental Science&Engineering University of Texas at El PasoEl PasoTX 79965United States Border Biomedical Research Center University of Texas at El PasoEl PasoTX 79965United States Department of Pharmaceutics College of PharmacyKing Saud UniversityRiyadh 11451Kingdom of Saudi Arabia Central Laboratory Department of Pharmaceutical ChemistryCollege of PharmacyKing Saud UniversityRiyadh 11451Kingdom of Saudi Arabia Department of Biomedical Engineering University of Texas at El PasoEl PasoTX 79965United States Department of Pharmaceutical Sciences School of PharmacyUniversity of Texas at El PasoEl PasoTX 79902United States

Cardiac toxicity is one of the most common side effects of anticancer *** toxicity results dysfunction of heart including hypotension,heart failure,and even cause death in extreme *** potential risk of cardiotoxicity is a huge concern in chemotherapeutics mediated cancer *** individual with any pre-existing cardiac issues are excluded from clinical trials due to the potential risk of *** of the potential cardiotoxicity,there is an emerging need for alternatives of some very potent anticancer drugs(doxorubicin/DOX,5-fluorouracil/5 FU,trastuzumab).While a patient is being treated with anticancer drugs,early blood screening,biomarker detection,and careful monitoring of cardiac functions are necessary to be able to avoid any irreversible cardiac ***,early detection methodology to monitor cardiotoxicity in real-time,and a drug formulation that prevent interaction between drug and cardiac cell,seemingly have potential to mitigate the *** this review,we have summarized the cardiotoxicity of the most used anticancer drugs,their pathophysiology and some of the conventional and newer screening methods available to manage an individual patient in *** have also incorporated our perspective on how a rationale designing of biomolecules can be used to overcome the cardiotoxicity generated chemotherapeutics.

关键词： Cardiotoxicity Anticancer drug Chemotherapy Screening Biomarker

Design of Latency-Aware IoT Modules in Heterogeneous Fog-Cloud Computing Networks

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Computers, Materials & Continua 2022年第3期70卷 6057-6072页

作者： syed rizwan Hassan Ishtiaq Ahmad Jamel Nebhen Ateeq Ur Rehman Muhammad Shafiq Jin-Ghoo Choi Department of Electrical Engineering The University of LahoreLahore54000Pakistan College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz UniversityAlkharj11942Saudi Arabia Department of Electrical Engineering Government College UniversityLahore54000Pakistan Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

The modern paradigm of the Internet of Things(IoT)has led to a significant increase in demand for latency-sensitive applications in Fog-based cloud ***,such applications cannot meet strict quality of service(QoS)*** large-scale deployment of IoT requires more effective use of network infrastructure to ensure QoS when processing big ***,cloud-centric IoT application deployment involves different modules running on terminal devices and cloud *** devices with different computing capabilities must process the data generated by the end device,so deploying latency-sensitive applications in a heterogeneous fog computing environment is a difficult *** addition,when there is an inconsistent connection delay between the fog and the terminal device,the deployment of such applications becomes more *** this article,we propose an algorithm that can effectively place application modules on network nodes while considering connection delay,processing power,and sensing data *** with traditional cloud computing deployment,we conducted simulations in iFogSim to confirm the effectiveness of the *** simulation results verify the effectiveness of the proposed algorithm in terms of end-to-end delay and network ***,latency and execution time is insensitive to the number of sensors.

关键词： IoT fog-cloud computing architecture module placement latency sensitive application resource aware placement

Appearance Based Dynamic Hand Gesture Recognition Using 3D Separable Convolutional Neural Network

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Computers, Materials & Continua 2023年第7期76卷 1213-1247页

作者： Muhammad rizwan Sana Ul Haq Noor Gul Muhammad Asif syed Muslim Shah Tariqullah Jan Naveed Ahmad Department of Electronics University of PeshawarPeshawar25120Pakistan Department of Electronics Engineering Korea Polytechnic UniversitySiheungKorea Department of Electrical Engineering Capital University of Science and TechnologyIslamabad44000Pakistan Department of Electrical Engineering University of Engineering and TechnologyPeshawar25120Pakistan Department of Computer Science Prince Sultan UniversityRiyadh11586Saudi Arabia

Appearance-based dynamic Hand Gesture Recognition(HGR)remains a prominent area of research in Human-Computer Interaction(HCI).Numerous environmental and computational constraints limit its real-time *** addition,the performance of a model decreases as the subject’s distance from the camera *** study proposes a 3D separable Convolutional Neural Network(CNN),considering the model’s computa-tional complexity and recognition *** 20BN-Jester dataset was used to train the model for six gesture *** achieving the best offline recognition accuracy of 94.39%,the model was deployed in real-time while considering the subject’s attention,the instant of performing a gesture,and the subject’s distance from the *** being discussed in numerous research articles,the distance factor remains unresolved in real-time deployment,which leads to degraded recognition *** the proposed approach,the distance calculation substantially improves the classification performance by reducing the impact of the subject’s distance from the ***,the capability of feature extraction,degree of relevance,and statistical significance of the proposed model against other state-of-the-art models were validated using t-distributed Stochastic Neighbor Embedding(t-SNE),Mathew’s Correlation Coefficient(MCC),and the McNemar test,*** observed that the proposed model exhibits state-of-the-art outcomes and a comparatively high significance level.

关键词： 3D separable CNN computational complexity hand gesture recognition human-computer interaction

Reversible Watermarking Method with Low Distortion for the Secure Transmission of Medical Images

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Computer Modeling in Engineering & Sciences 2022年第3期130卷 1309-1324页

作者： rizwan Taj Feng Tao Shahzada Khurram Ateeq Ur Rehman syed Kamran Haider Akber Abid Gardezi Saima Kanwal School of Computer and Communication Lanzhou University of TechnologyLanzhouChina Faculty of Computing The Islamia University of BahawalpurBahawalpurPakistan Department of Electrical Engineering Government College UniversityLahorePakistan College of Internet of Things Engineering Hohai UniversityChangzhouChina Department of Computer Science COMSATS University IslamabadIslamabadPakistan

In telemedicine,the realization of reversible watermarking through information security is an emerging research ***,adding watermarks hinders the distribution of pixels in the cover image because it creates distortions(which lead to an increase in the detection probability).In this article,we introduce a reversible watermarking method that can transmit medical images with minimal distortion and high *** proposed method selects two adjacent gray pixels whose least significant bit(LSB)is different from the relevant message bit and then calculates the distortion *** use the LSB pairing method to embed the secret matrix of patient record into the cover image and exchange pixel *** results show that the designed method is robust to different attacks and has a high PSNR(peak signal-to-noise ratio)*** MRI image quality and imperceptibility are verified by embedding a secret matrix of up to 262,688 bits to achieve an average PSNR of 51.657 *** addition,the proposed algorithm is tested against the latest technology on standard images,and it is found that the average PSNR of our proposed reversible watermarking technology is higher(i.e.,51.71 dB).Numerical results show that the algorithm can be extended to normal images and medical images.

关键词： LSB reversible watermarking medical images security data distortion