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Mechanical sensor PDLIM5 promotes the osteogenesis of human adipose-derived stem cells through microfilament alterations

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Genes & Diseases 2024年第3期11卷 136-139页

作者： Yuchao Yang Shutong Wu Rongmei Qu Congrong Wang Jinyang Wang Asmat Ullah Khan You Pan Wenqing Liu Jinhui Zhu muhammad akram Khan Chujiang Xu Jingxing Dai Jun Ouyang Guangdong Provincial Key Laboratory of Medical Biomechanics&National Key Discipline of Human Anatomy Schoolof BasicMedical SciencesSouthern Medical UniversityGuangzhouGuangdong 510515China Department of Laboratory Medicine Nanfang Hospital of Southern Medical UniversityGuangzhouGuangdong 510515China Department of Pathology Guangdong Provincial People's HospitalGuangdong Academy of Medical SciencesGuangzhouGuangdong 510080China Department of Breast Surgery Guangxi Medical University Cancer HospitalNanningGuangxi 530000China Department of Veterinary Pathology Faculty of Veterinary and Animal SciencesPMAS Arid Agriculture UniversityRawalpindi 46300Pakistan Department of Orthopedics TCM-Integrated HospitalSouthern Medical UniversityGuangzhouGuangdong 510000China

Bone regeneration is a multifaceted,abstract,and wellcoordinated physiological progression of bone formation that participates in continuous regeneration and remodeling throughout ***,when it comes to complex clinical situations requiring extensive bone regeneration,such as massive bone defects caused by injuries,infection,or tumor removal,traditional methods do not often yield good treatment strategies or protocols due to their limitations.

关键词： alterations injuries massive

反激式开关电源故障非侵入式AI诊断方法研究

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电子测量与仪器学报 2024年

作者：唐圣学谭立强李从宏严金晶 muhammad Ehtsham akram 赵金泽河北工业大学电气工程学院省部共建电工装备可靠性与智能化国家重点实验室南京工业职业技术大学

将人工智能技术应用到故障诊断领域可以实现电力设备的自动化、智能化诊断，提高诊断精度和效率。以单输入多输出的反激式开关电源为例，针对其因脆弱元件失效而引起的电路工作性能异常的问题，通过分析不同故障模式的信号特性和可分性... 详细信息

将人工智能技术应用到故障诊断领域可以实现电力设备的自动化、智能化诊断，提高诊断精度和效率。以单输入多输出的反激式开关电源为例，针对其因脆弱元件失效而引起的电路工作性能异常的问题，通过分析不同故障模式的信号特性和可分性，提出了融合输入电流和输出电压信息的非侵入式开关电源故障诊断方法。构建了由时域特征及频带小波包奇异熵特征组成的融合时频域信息的多维特征矢量，建立了故障特征与故障模式之间的映射关系。进而，提出了基于人工智能技术的深度神经网络（DNN）故障诊断方法，实时监测反激式开关电源的运行状态，并通过数据分析及时识别故障位置，对潜在故障进行预警。实验结果表明：本文所提出的方法对单故障和多故障模式均具有良好的诊断效果，诊断准确率可达97.9%，并且，在不同工况下，该方法均可表现出较高的诊断准确率和较强的抗干扰性能。

关键词：人工智能反激式开关电源时域特征小波包奇异熵故障诊断 DNN辨识

Effects of medicinal plants on Alzheimer＇s disease and memory deficits

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Neural Regeneration Research 2017年第4期12卷 660-670页

作者： muhammad akram Allah Nawaz Department of Eastern Medicine and Surgery Faculty of Medical and Health Sciences The University of Poonch Rawalakot Azad Jammu and Kashmir Pakistan First Department of Internal Medicine Faculty of Medicine University of Toyama Toyama Japan

Alzheimer＇s disease is an age-related neurodegenerative disorder characterized by memory deficits. Various studies have been carried out to find therapeutic approaches for Alzheimer＇s disease. However, the proper treatment option is still not available. There is no cure for Alzheimer＇s disease, but symptomatic treatment may improve the memory and other dementia related problems. Traditional medicine is practiced world- wide as memory enhancer since ancient times. Natural therapy including herbs and medicinal plants has been used in the treatment of memory deficits such as dementia, amnesia, as well as Alzheimer＇s disease since a long time. Medicinal plants have been used in different systems of medicine, particularly Unani system of medicines and exhibited their powerful roles in the management and cure of memory disorders. Most of herbs and plants have been chemically evaluated and their efficacy has also been proven in clinical trials. However, the underlying mechanisms of actions are still on the way. In this paper, we have reviewed the role of different medicinal plants that play an important role in the treatment of Alzheimer＇s disease and memory deficits using conventional herbal therapy.

关键词： nerve regeneration memory Alzheimer's disease medicinal plants efficacy literature review neural regeneration

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A Double-Branch Xception Architecture for Acute Hemorrhage Detection and Subtype Classification

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Computers, Materials & Continua 2023年第9期76卷 3727-3744页

作者： muhammad Naeem akram muhammad Usman Yaseen muhammad Waqar muhammad Imran Aftab Hussain Department of Computer Science COMSATS University IslamabadIslamabad45550Pakistan Department of Software Engineering Capital University of Science&TechnologyIslamabad44000Pakistan

This study presents a deep learning model for efficient intracranial hemorrhage(ICH)detection and subtype classification on non-contrast head computed tomography(CT)*** refers to bleeding in the skull,leading to the most critical life-threatening health condition requiring rapid and accurate *** is classified as intra-axial hemorrhage(intraventricular,intraparenchymal)and extra-axial hemorrhage(subdural,epidural,subarachnoid)based on the bleeding location inside the *** computer-aided diagnoses(CAD)-based schemes have been proposed for ICH detection and classification at both slice and scan ***,these approaches performonly binary classification and suffer from a large number of parameters,which increase storage ***,the accuracy of brain hemorrhage detection in existing models is significantly low for medically critical *** overcome these problems,a fast and efficient system for the automatic detection of ICH is *** designed a double-branch model based on xception architecture that extracts spatial and instant features,concatenates them,and creates the 3D spatial context(common feature vectors)fed to a decision tree classifier for final *** data employed for the experimentation was gathered during the 2019 Radiologist Society of North America(RSNA)brain hemorrhage detection *** model outperformed benchmark models and achieved better accuracy in intraventricular(99.49%),subarachnoid(99.49%),intraparenchymal(99.10%),and subdural(98.09%)categories,thereby justifying the performance of the proposed double-branch xception architecture for ICH detection and classification.

关键词： Computed tomography convolutional neural networks intracranial hemorrhage xception architecture

Comparative Analysis of Pythagorean MCDM Methods for the Risk Assessment of Childhood Cancer

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Computer Modeling in Engineering & Sciences 2023年第6期135卷 2585-2615页

作者： Shaista Habib muhammad akram MMAli Al-Shamiri School of Systems and Technology University of Management and TechnologyLahorePakistan Department of Mathematics University of the PunjabNew CampusLahorePakistan Department of Mathematics Faculty of Science and ArtsMahayl AssirKing Khalid UniversityAbhaSaudi Arabia

According to the World Health Organization(WHO),cancer is the leading cause of death for children in low and middle-income *** 400,000 kids get diagnosed with this illness each year,and their survival rate depends on the country in which they *** this article,we present a Pythagorean fuzzy model that may help doctors identify the most likely type of cancer in children at an early stage by taking into account the symptoms of different types of *** Pythagorean fuzzy decision-making techniques that we utilize are Pythagorean Fuzzy TOPSIS,Pythagorean Fuzzy Entropy(PF-Entropy),and Pythagorean Fuzzy PowerWeighted Geometric(PFPWG).Ourmodel is fed with nineteen symptoms and it diagnoses the risk of eight types of cancers in *** develop an algorithm for each method and calculate its ***,we consider an example to make a clear understanding of our *** also compare the final results of various tests that prove the authenticity of this study.

关键词： Risk assessment Pythagorean fuzzy sets TOPSIS method entropy power weighted geometric operators

Novel applications of bipolar single-valued neutrosophic competition graphs

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Applied Mathematics(A Journal of Chinese Universities) 2018年第4期33卷 436-467页

作者： muhammad akram Maryam Nasir K.P.Shum Department of Mathematics University of the PunjabNew Campus Institute of Mathematics Yunnan University

Bipolar single-valued neutrosophic models are the generalization of bipolar fuzzy models. We first introduce the concept of bipolar single-valued neutrosophic competition graphs. We then, discuss some important propositions related to bipolar single-valued neutrosophic competition graphs. We define bipolar single-valued neutrosophic economic competition graphs and m-step bipolar single-valued neutrosophic economic competition graphs. Further, we describe applications of bipolar single-valued neutrosophic competition graphs in organizational designations and brands competition. Finally, we present our improved methods by algorithms.

关键词： bipolar single-valued neutrosophic digraphs m-step bipolar single-valued neutrosophic economic competition graphs algorithm

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Adsorptive removal of phosphate by the bimetallic hydroxide nanocomposites embedded in pomegranate peel

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Journal of Environmental Sciences 2020年第5期32卷 189-198页

作者： muhammad akram Xing Xu Baoyu Gao Qinyan Yue Shang Yanan Rizwan Khan muhammad Ali Inam Shandong Key Laboratory of Water Pollution Control and Resource Reuse School of Environmental Science and EngineeringShandong UniversityQingdao 266200China Department of Chemical Engineering Quaid-e-Awam University of EngineeringScience and Technology(QUEST)Naiuabshah 67480SindfiPakistan Institute of Environmental Sciences and Engineering(IESE) School of Civil and Environmental Engineering(SCEE)National University of Sciences and Technology(NUST)H-12 CampusIslamabad 44000Pakistan

This study aimed to fabricate new and effective material for the efficiency of phosphate *** types of adsorbent materials,the zirconium hydroxides embedded in pomegranate peel(Zr/Peel)and zirconium-lanthanum hydroxides embedded in pomegranate peel(Zr-La/Peel)were *** electronic microscopy(SEM),x-ray photoelectron spectroscopy(XPS)and x-ray diffraction(XRD)were evaluated to give insight into the physicochemical properties of these ***-La/Peel exceeded the adsorption efficiency of Zr/Peel adsorbents in batch adsorption experiments at the same pH *** peel as a host can strive to have a strong"shielding effect"to increase the steadiness of the entrenched Zr and La *** and Zr are hydroxide metals that emit many hydrogen ions during the hydrolysis reaction,which contribute to protonation and electrostatic *** highest adsorption capacity of La-Zr/Peel for phosphate was calculated to be40.21 mg/g,and pseudo second-order equation is very well fitted for kinetic *** adsorption efficiency was reduced by an increase of *** the background of coexisting Cl-,little effect on adsorption efficiency was observed,while adsorption capacities were reduced by almost 20-30%with the coexistence of SO42-,NO3-and humic acid(HA).

关键词： Bimetallic hydroxides Pomegranate peel Phosphate Adsorption

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HybridHR-Net:Action Recognition in Video Sequences Using Optimal Deep Learning Fusion Assisted Framework

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Computers, Materials & Continua 2023年第9期76卷 3275-3295页

作者： muhammad Naeem Akbar Seemab Khan muhammad Umar Farooq Majed Alhaisoni Usman Tariq muhammad Usman akram Department of Computer Engineering National University of Sciences and Technology(NUST)Islamabad46000Pakistan Department of Robotics SMME NUSTIslamabad45600Pakistan Computer Sciences Department College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia Management Information System Department College of Business AdministrationPrince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia

The combination of spatiotemporal videos and essential features can improve the performance of human action recognition(HAR);however,the individual type of features usually degrades the performance due to similar actions and complex *** deep convolutional neural network has improved performance in recent years for several computer vision applications due to its spatial *** article proposes a new framework called for video surveillance human action recognition dubbed *** a few selected datasets,deep transfer learning is used to pre-trained the EfficientNet-b0 deep learning *** optimization is employed for the tuning of hyperparameters of the fine-tuned deep *** of fully connected layer features,we considered the average pooling layer features and performed two feature selection techniques-an improved artificial bee colony and an entropy-based *** a serial nature technique,the features that were selected are combined into a single vector,and then the results are categorized by machine learning *** publically accessible datasets have been utilized for the experimental approach and obtained notable accuracy of 97%,98.7%,100%,99.7%,and 96.8%,***,a comparison of the proposed framework with contemporarymethods is done to demonstrate the increase in accuracy.

关键词： Action recognition entropy deep learning transfer learning artificial bee colony feature fusion

Triple Key Security Algorithm Against Single Key Attack on Multiple Rounds

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Computers, Materials & Continua 2022年第9期72卷 6061-6077页

作者： muhammad akram muhammad Waseem Iqbal Syed Ashraf Ali muhammad Usman Ashraf Khalid Alsubhi Hani Moaiteq Aljahdali Department of Computer Science Superior University Lahore54000Pakistan Department of Software Engineering Superior University Lahore54000Pakistan Department of Computer Science The Institute of Management Sciences(PAK-AIMS)Lahore54000Pakistan Department of Computer Science GC Women University SialkotPakistan Department of Computer Science King Abdulaziz UniversityJeddahSaudi Arabia Faculty of Computing and Information Technology King Abdulaziz UniversityJeddahSaudi Arabia

In cipher algorithms,the encryption and decryption are based on the same *** are some limitations in cipher algorithms,for example in polyalphabetic substitution cipher the key size must be equal to plaintext otherwise it will be repeated and if the key is known then encryption becomes *** paper aims to improve the said limitations by designing of Triple key security algorithm(TKS)in which the key is modified on polyalphabetic substitution cipher to maintain the size of the key and *** plaintext character is substituted by an alternative *** mode of substitution is transformed cyclically which depends on the current position of the modified *** keys are used in the encryption and decryption process on 8 or 16 rounds with the Exclusively-OR(XOR)of the 1st *** study also identifies a single-key attack on multiple rounds block cipher in mobile communications and applied the proposed technique to prevent the *** utilization of the TKS algorithm,the decryption is illustrated,and security is analyzed in detail with mathematical examples.

关键词： Encryption decryption cipher symmetric key cryptography single key attack