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DNA methylation drives a new path in gastric cancer early detection:Current impact and prospects

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Genes & Diseases 2024年第2期11卷 847-860页

作者： Xinhui Wang Yaqi Dong Hong Zhang Yinghui Zhao Tianshu Miao ghazal Mohseni Lutao Du Chuanxin Wang Department of Clinical Laboratory The Second Hospital of Shandong UniversityJinanShandong 250033China Department of Clinical Laboratory Fuling HospitalChongqing UniversityChongqing 402774China Suzhou Research Institute of Shandong University SuzhouJiangsu 215123China Department of Biochemistry and Molecular Biology Shandong University School of Basic Medical SciencesJinanShandong 250012China Shandong Engineering & Technology Research Center for Tumor Marker Detection JinanShandong 250033China Shandong Provincial Clinical Medicine Research Center for Clinical Laboratory JinanShandong 250033China

Gastric cancer(GC)is one of the most common and deadly cancers *** detection offers the best chance for curative treatment and reducing its ***,the optimal population-based early screening for GC remains *** DNA methylation occurs in the early stage of GC,exhibiting cancer-specific genetic and epigenetic changes,and can be detected in the media such as blood,gastric juice,and feces,constituting a valuable biomarker for cancer early ***,DNA methylation is a stable epigenetic alteration,and many innovative methods have been developed to quantify it rapidly and ***,large-scale clinical validation of DNA methylation serving as tumor biomarkers is still lacking,precluding their implementation in clinical *** conclusion,after a critical analysis of the recent existing literature,we summarized the evolving roles of DNA methylation during GC occurrence,expounded the newly discovered noninvasive DNA methylation biomarkers for early detection of GC,and discussed its challenges and prospects in clinical applications.

关键词： Biomarkers DNA methylation Early detection Gastric cancer Translation

Smart Energy Management System Using Machine Learning

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Computers, Materials & Continua 2024年第1期78卷 959-973页

作者： Ali Sheraz Akram Sagheer Abbas Muhammad Adnan Khan Atifa Athar Taher M.ghazal Hussam Al Hamadi School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Pattern Recognition and Machine Learning Lab Department of SoftwareGachon UniversitySeongnamGyeonggido13120Korea Department of Computer Science COMSATS University IslamabadLahore CampusLahore54000Pakistan School of Information Technology Skyline University CollegeSharjah1797United Arab Emirates Network and Communication Technology Lab Center for Cyber SecurityFaculty of Information Science and TechnologyUniversiti Kebangsaan MalaysiaBangiSelangor43600Malaysia College of Engineering and IT University of DubaiDubaiUnited Arab Emirates

Energy management is an inspiring domain in developing of renewable energy ***,the growth of decentralized energy production is revealing an increased complexity for power grid managers,inferring more quality and reliability to regulate electricity flows and less imbalance between electricity production and *** major objective of an energy management system is to achieve optimum energy procurement and utilization throughout the organization,minimize energy costs without affecting production,and minimize environmental *** energy management is an essential and complex subject because of the excessive consumption in residential buildings,which necessitates energy optimization and increased user *** address the issue of energy management,many researchers have developed various frameworks;while the objective of each framework was to sustain a balance between user comfort and energy consumption,this problem hasn’t been fully solved because of how difficult it is to solve *** inclusive and Intelligent Energy Management System(IEMS)aims to provide overall energy efficiency regarding increased power generation,increase flexibility,increase renewable generation systems,improve energy consumption,reduce carbon dioxide emissions,improve stability,and reduce energy *** Learning(ML)is an emerging approach that may be beneficial to predict energy efficiency in a better way with the assistance of the Internet of Energy(IoE)*** IoE network is playing a vital role in the energy sector for collecting effective data and usage,resulting in smart resource *** this research work,an IEMS is proposed for Smart Cities(SC)using the ML technique to better resolve the energy management *** proposed system minimized the energy consumption with its intelligent nature and provided better outcomes than the previous approaches in terms of 92.11% accuracy,and 7.89% miss-rate.

关键词： Intelligent energy management system smart cities machine learning

Neuroprotective potential of traditional Ayurvedic Kadha:age-related neurological disorders:a comprehensive literature review

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Traditional Medicine Research 2024年第9期9卷 51-77页

作者： Sarvin Sadreddini Mohammad Javad Emami Kazemabad Sogand Sheikholeslami Kosar Chitzan-Zadeh Mohammad Taha Kouchaki Midia Rashidi Amir Abbas Ghayerin Shahin Sabaghi ghazal Tavakoli Sepehr Nanbakhsh Tina Mansourian Arefeh Tabashiri Fariba Arbab Mojeni Mohammed Namiq Amin Zahra Taheri Seyed Esmaeil Sedighi Taraneh Tarkashvand Parham Amirazodi Mobina Fathi Shirin Yaghoobpoor Niloofar Deravi School of Medicine Tabriz University of Medical SciencesTabriz ***Iran School of Medicine Qom University of Medical SciencesQom ***Iran School of Medicine Hamadan University of Medical SciencesHamadan ***Iran School of Medicine Ahvaz Jundishapur University of Medical SciencesAhvaz ***Iran Faculty of Medicine Tabriz University of Medical SciencesTabriz ***Iran School of Medicine Iran University of Medical SciencesTehran ***Iran School of Medicine Shahid Beheshti University of Medical SciencesTehran ***Iran School of Medicine Mazandaran University of Medical SciencesSari ***Iran School of Medicine Kermanshah University of Medical SciencesKermanshah ***Iran Faculty of Pharmacy Pharmaceutical Sciences BranchIslamic Azad UniversityTehran ***Iran Department of Biology Faculty of SciencePayamNoor UniversityTehran ***Iran Faculty of Medicine Islamic Azad University of Medical ScienceTehran 193951495Iran International Campus Shahid Sadoughi University of Medical SciencesYazd ***Iran

Despite modern medicine’s advancements,age-related neurological diseases like Alzheimer’s disease and Parkinson’s disease remain challenging due to high costs,side effects,and limited ***,a traditional Indian medicine system,offers Kadha tea as a potential herbal *** review explores Kadha’s components(basil(Ocimum basilicum L.),black pepper(Piper nigrum L.),Cinnamon(Cinnamomum verum ***),ginger(Zingiber officinale Roscoe),and raisin(Vitis vinifera L.))and their interaction with various neurological *** suggest Kadha exhibits anti-inflammatory,antioxidant,and antiviral properties,potentially impacting Alzheimer’s disease,Parkinson’s disease,neurotoxicity,neuroinflammation,and brain *** focusing on specific disease mechanisms and Kadha’s intergrade effects,this review aims to elucidate its potential role in managing age-related neurological disorders.

关键词： Ayurveda Kadha neuroprotective neurological disorders traditional medicine

Walking as soft mobility:A multi-criteria GISbased approach for prioritizing tourist routes

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Frontiers of Architectural Research 2023年第6期12卷 1080-1096页

作者： ghazal Hassanshahi Ali Soltani Maryam Roosta Sajad Askari Department of Urban Planning and Design Shiraz UniversityShirazIran UniSA Business University of South AustraliaAdelaideAustralia Injury Studies Flinders Health and Medical Research InstituteBedford ParkAustralia Department of Civil Materials and Environmental Engineering(CME)University of Illinois ChicagoChicagoUnited States

Walking,as the main mode of soft mobility,has become an integral aspect of urban *** development of pedestrian tourist routes plays a crucial role in enhancing the positive walking experience in urban tourist *** research employs a hybrid multi-criteria decision-making(MCDM)with GIS to rank street segments,establishing walking-oriented tourist paths in Shiraz’s historic district,*** initial steps involve identifying pivotal criteria through literature reviews and expert *** Analytical Hierarchy Process(AHP)establishes criteria and sub-criteria weights using input from 30 *** Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)then prioritizes street segments based on sub-criteria such as traffic safety,image ability and heritage assets,security,land use and activity,accessibility,comfort and convenience,and human ***,a Space Syntax analysis(SSA)is conducted to evaluate the morphology of the street network in the study area and identify streets with potential for pedestrian *** integrating these analyses,a prime corridor for a pedestrian tourist route is *** study offers planners and policymakers a valuable tool for pre-investment decision-making,aiding the promotion of walkability in tourist-centric areas.

关键词： Walking-based tourist route Slow tourism Soft mobility Multi-criteria decision-making(MCDM) Space Syntax Historic-heritage district

IoMT-Based Smart Healthcare of Elderly People Using Deep Extreme Learning Machine

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Computers, Materials & Continua 2023年第7期76卷 19-33页

作者： Muath Jarrah Hussam Al Hamadi Ahmed Abu-Khadrah Taher M.ghazal School of Information Technology Skyline University CollegeUniversity City Sharjah1797SharjahUAE College of Computing and Informatics Saudi Electronic UniversityRiyadh11673Saudi Arabia Center for Cyber Security Faculty of Information Science and TechnologyUniversity Kebangsaan Malaysia(UKM)43600BangiSelangorMalaysia Center for Cyber-Physical Systems Khalifa University127788Abu DhabiUAE

The Internet of Medical Things(IoMT)enables digital devices to gather,infer,and broadcast health data via the cloud *** phenomenal growth of the IoMT is fueled by many factors,including the widespread and growing availability of wearables and the ever-decreasing cost of sensor-based *** is a growing interest in providing solutions for elderly people living assistance in a world where the population is rising *** IoMT is a novel reality transforming our daily *** can renovate modern healthcare by delivering a more personalized,protective,and collaborative approach to ***,the current healthcare system for outdoor senior citizens faces new *** healthcare systems are inefficient and lack user-friendly technologies and interfaces appropriate for elderly people in an outdoor ***,in this research work,a IoMT based Smart Healthcare of Elderly people using Deep Extreme Learning Machine(SH-EDELM)is proposed to monitor the senior citizens’*** performance of the proposed SH-EDELM technique gives better results in terms of 0.9301 accuracy and 0.0699 miss rate,respectively.

关键词： ICT ML FN DELM SH-EDELM

Personality Assessment Based on Natural Stream of Thoughts Empowered with Machine Learning

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Computers, Materials & Continua 2023年第7期76卷 1-17页

作者： Mohammed Salahat Liaqat Ali Taher M.ghazal Haitham M.Alzoubi College of Engineering and Technology University of Science and Technology of FujairahFujairahUAE School of Information Technology Skyline University CollegeUniversity City Sharjah1797UAE Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebangsaan Malaysia(UKM)43600Malaysia School of Business Skyline University CollegeUniversity City Sharjah1797SharjahUAE

Knowing each other is obligatory in a multi-agent collaborative *** may develop the desired know-how of each other in various aspects such as habits,job roles,status,and *** different distinguishing characteristics related to a person,personality traits are an effective predictive tool for an individual’s behavioral *** has been observed that when people are asked to share their details through questionnaires,they intentionally or unintentionally become *** knowingly or unknowingly provide enough information in much-unbiased comportment in open writing about *** writings can effectively assess an individual’s personality traits that may yield enormous possibilities for applications such as forensic departments,job interviews,mental health diagnoses,*** of consciousness,collected by James Pennbaker and Laura King,is one such way of writing,referring to a narrative technique where the emotions and thoughts of the writer are presented in a way that brings the reader to the fluid through the mental states of the ***-over,computationally,various attempts have been made in an individual’s personality traits assessment through deep learning algorithms;however,the effectiveness and reliability of results vary with varying word embedding *** article proposes an empirical approach to assessing personality by applying convolutional networks to text *** Encoder Representations from Transformers(BERT)word embedding technique is used for word vector generation to enhance the contextual meanings.

关键词： Personality traits convolutional neural network deep learning word embedding

Data Fusion-Based Machine Learning Architecture for Intrusion Detection

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Computers, Materials & Continua 2022年第2期70卷 3399-3413页

作者： Muhammad Adnan Khan Taher M.ghazal Sang-Woong Lee Abdur Rehman Pattern Recognition and Machine Learning Lab Department of SoftwareGachon UniversitySeongnam13557Korea Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebansaan Malaysia(UKM)43600BangiSelangorMalaysia School of Information Technology Skyline University CollegeUniversity City Sharjah1797SharjahUAE School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan

In recent years,the infrastructure of Wireless Internet of Sensor Networks(WIoSNs)has been more complicated owing to developments in the internet and devices’*** effectively prepare,control,hold and optimize wireless sensor networks,a better assessment needs to be *** field of artificial intelligence has made a great deal of progress with deep learning systems and these techniques have been used for data *** study investigates the methodology of Real Time Sequential Deep Extreme LearningMachine(RTS-DELM)implemented to wireless Internet of Things(IoT)enabled sensor networks for the detection of any intrusion *** fusion is awell-knownmethodology that can be beneficial for the improvement of data accuracy,as well as for the maximizing of wireless sensor networks *** also suggested an approach that not only makes the casting of parallel data fusion network but also render their computations more *** using the Real Time Sequential Deep Extreme Learning Machine(RTSDELM)methodology,an excessive degree of reliability with a minimal error rate of any intrusion activity in wireless sensor networks is *** results show that wireless sensor networks are optimized effectively to monitor and detect any malicious or intrusion activity through this proposed ***,threats and a more general outlook are explored.

关键词： Wireless internet of sensor networks machine learning deep extreme learning machine artificial intelligence data fusion

IoMT-Based Healthcare Framework for Ambient Assisted Living Using a Convolutional Neural Network

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Computers, Materials & Continua 2023年第3期74卷 6867-6878页

作者： Waleed T.Al-Sit Nidal A.Al-Dmour Taher M.ghazal Ghassan F.Issa Department of Computer Engineering Mutah UniversityAl-KarakJordanHigher Colleges of TechnologyDubaiUAE Department of Computer Engineering College of EngineeringMutah UniversityJordan School of Information Technology Skyline University CollegeUniversity City SharjahSharjahUAE Center for Cyber Security Faculty of Information Science and TechnologyUKM43600BangiSelangorMalaysia

In the age of universal computing,human life is becoming smarter owing to the recent developments in the Internet of Medical Things(IoMT),wearable sensors,and telecommunication innovations,which provide more effective and smarter healthcare *** has the potential to shape the future of clinical research in the healthcare *** sensors,patients,healthcare providers,and caregivers can connect through an IoMT network using software,information,and communication *** assisted living(AAL)allows the incorporation of emerging innovations into the routine life events of *** learning(ML)teaches machines to learn from human experiences and to use computer algorithms to“learn”information directly instead of relying on a *** the sample size accessible for learning increases,the performance of the algorithms *** paper proposes a novel IoMT-enabled smart healthcare framework for AAL to monitor the physical actions of patients using a convolutional neural network(CNN)algorithm for fast analysis,improved decision-making,and enhanced treatment *** simulation results showed that the prediction accuracy of the proposed framework is higher than those of previously published approaches.

关键词： Smart healthcare system neural network machine learning

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三乙胺分子构象与红外光谱的理论研究

物理学报 2022年第10期71卷 72-80页

作者：邱梓恒 AhmedYousif ghazal 龙金友张嵩中国科学院精密测量科学与技术创新研究院波谱与原子分子物理国家重点实验室武汉430071 中国科学院大学物理科学学院北京100049 Engineering Technical College of Mosul Northern Technical UniversityMosul 41002Iraq

利用密度泛函理论B3LYP的方法,在6-311++G(d,p)基组水平上沿二面角φ;(C9N1C2C5)和φ;(C16N1C9C12)构成的二维坐标下扫描了–180°—180°范围内构象异构化势能面,甄别出12种三乙胺基态异构体.进一步辅以二阶微扰理论MP2的方法,在相同... 详细信息

利用密度泛函理论B3LYP的方法,在6-311++G(d,p)基组水平上沿二面角φ;(C9N1C2C5)和φ;(C16N1C9C12)构成的二维坐标下扫描了–180°—180°范围内构象异构化势能面,甄别出12种三乙胺基态异构体.进一步辅以二阶微扰理论MP2的方法,在相同基组水平下计算与优化6种能量较低的构象异构体的结构与能量.结果表明具有C3对称性的G1与G1’是最稳定构象,并识别出两种具有新的甲基取向的G4与G4’构象异构体.另外,通过G1—G4红外光谱与振动模式的比较,分析了它们之间的相似性与差异性.G1—G4的红外谱线显示在0—1600 cm^(-1)范围内的强度较弱,而在2800—3300 cm^(-1)范围内的强度较强,标定出伞状振动与C—H伸缩振动等特征振动模,不同构象所引起的红外谱峰的平均移动量小于20 cm^(-1).

关键词：构象异构体密度泛函理论计算势能面红外光谱