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Federated Machine Learning Based Fetal Health Prediction Empowered with Bio-Signal Cardiotocography

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Computers, Materials & Continua 2024年第3期78卷 3303-3321页

作者： muhammad Umar Nasir Omar Kassem Khalil Karamath Ateeq Bassam SaleemAllah Almogadwy muhammad adnan Khan muhammad Hasnain Azam Khan muhammad adnan Department of Computer Sciences Bahria University Lahore CampusLahore54000Pakistan Faculty of Information Technology Liwa CollegeAbu Dhabi00000United Arab Emirates Department of Computing Skyline University CollegeSharjah1797United Arab Emirates Department of Computer Science Taibah UniversityMedina42353Saudi Arabia Riphah School of Computing and Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Department of Engineering and Development Dubizzle LabsLahore54000Pakistan Department of Software Faculty of Artificial Intelligence and SoftwareGachon UniversitySeongnam-si13120Korea

Cardiotocography measures the fetal heart rate in the fetus during pregnancy to ensure physical health because cardiotocography gives data about fetal heart rate and uterine shrinkages which is very beneficial to detect whether the fetus is normal or suspect or *** cardiotocography measures infer wrongly and give wrong predictions because of human *** traditional way of reading the cardiotocography measures is the time taken and belongs to numerous human errors as *** condition is very important to measure at numerous stages and give proper medications to the fetus for its *** the current period Machine learning(ML)is a well-known classification strategy used in the biomedical field on various issues because ML is very fast and gives appropriate results that are better than traditional *** techniques play a pivotal role in detecting fetal disease in its early *** research article uses Federated machine learning(FML)and ML techniques to classify the condition of the *** study proposed a model for the detection of bio-signal cardiotocography that uses FML and ML techniques to train and test the ***,the proposed model of FML used numerous data preprocessing techniques to overcome data deficiency and achieves 99.06%and 0.94%of prediction accuracy and misprediction rate,respectively,and parallel the proposed model applying K-nearest neighbor(KNN)and achieves 82.93%and 17.07%of prediction accuracy and misprediction accuracy,***,by comparing both models FML outperformed the KNN technique and achieved the best and most appropriate prediction results as compared with previous studies the proposed study achieves the best and most accurate results.

关键词： Cardiotocography ML FML fetal disease bio-signal

Linking gold prices,fossil fuel costs and energy consumption to assess progress towards sustainable development goals in newly industrialized countries

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Geoscience Frontiers 2024年第3期15卷 447-457页

作者： muhammad Farhan Bashir muhammad adnan Bashir Syed Ali Raza Yuriy Bilan LászlóVasa College of Management Shenzhen UniversityShenzhen518060GuangdongPR China Huangpu Institute Guangdong University of Foreign StudiesGuangzhouGuangdongChina Department of Business Administration IQRA University Karachi-75300Pakistan adnan Kassar School of Business Lebanese American UniversityBeirutLebanon Faculty of Management Rzeszow University of Technologyal.Powstanców Warszawy 1235-959 RzeszówPoland Faculty of Economics Széchenyi Istvàn UniversityHungary

The continuous rise in global environmental challenges has led to urgency toward establishing a secure framework to achieve sustainable development *** study establishes a novel theoretical framework to analyze the role of energy prices,energy consumption,gold prices and economic growth on environmental degradation in newly industrialized *** realize sustainable development goals and foster environmental defence,this study utilizes CS-ARDL as the main econometric approach to investigate the asymmetric association between environmental degradation and relevant *** also use AMG,CS-DL,Driscoll-Kray and FGLS to enhance the robustness of our *** econometric approach reveals that energy resource prices and renewable energy consumption reduce environmental degradation,while gold prices and fossil energy consumption elevate environmental *** also confirm the existence of the EKC *** findings of our extensive analysis paved the way for a welldesigned environmental policy for NIC economies should focus on renewable energy consumption,green investments,and structural changes.

关键词： Gold prices Fossil fuel costs Renewable Energy Consumption Environmental degradation Newly industrialized countries COP27

Cervical Cancer Prediction Empowered with Federated Machine Learning

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Computers, Materials & Continua 2024年第4期79卷 963-981页

作者： muhammad Umar Nasir Omar Kassem Khalil Karamath Ateeq Bassam SaleemAllah Almogadwy M.A.Khan Khan muhammad adnan Department of Computer Sciences Bahria University Lahore CampusLahore54000Pakistan Faculty of Information Technology Liwa CollegeAbu Dhabi20009UAE Department of Computing Skyline University CollegeSharjah999041UAE Department of Computer Science Taibah UniversityMedina42315Saudi Arabia Riphah School of Computing and Innovation Faculty of ComputingRiphah International UniversityLahore54000Pakistan Department of Software Faculty of Artificial Intelligence and SoftwareGachon UniversitySeongnam13120Korea

Cervical cancer is an intrusive cancer that imitates various women around the world. Cervical cancer ranks in thefourth position because of the leading death cause in its premature stages. The cervix which is the lower end of thevagina that connects the uterus and vagina forms a cancerous tumor very slowly. This pre-mature cancerous tumorin the cervix is deadly if it cannot be detected in the early stages. So, in this delineated study, the proposed approachuses federated machine learning with numerous machine learning solvers for the prediction of cervical cancer totrain the weights with varying neurons empowered fuzzed techniques to align the neurons, Internet of MedicalThings (IoMT) to fetch data and blockchain technology for data privacy and models protection from hazardousattacks. The proposed approach achieves the highest cervical cancer prediction accuracy of 99.26% and a 0.74%misprediction rate. So, the proposed approach shows the best prediction results of cervical cancer in its early stageswith the help of patient clinical records, and all medical professionals will get beneficial diagnosing approachesfrom this study and detect cervical cancer in its early stages which reduce the overall death ratio of women due tocervical cancer.

关键词： Cervical cancer federated machine learning neurons blockchain technology

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

M_(4)X_(3) MXenes:Application in Energy Storage Devices

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Nano-Micro Letters 2024年第10期16卷 522-542页

作者： Iftikhar Hussain Waqas Ul Arifeen Shahid Ali Khan Sikandar Aftab muhammad Sufyan Javed Sajjad Hussain muhammad Ahmad Xi Chen Jiyun Zhao PRosaiah Khaled Fahmi Fawy adnan Younis Sumanta Sahoo Kaili Zhang Department of Mechanical Engineering City University of Hong Kong83 Tat Chee AvenueKowloon TongHong KongPeople's Republic of China School of Mechanical Engineering Yeungnam UniversityDaehak-roGyeongsan-siGyeongbuk-do 38541South Korea Department of Semiconductor Systems Engineering and Clean Energy Sejong UniversitySeoul 05006Republic of Korea School of Physical Science and Technology Lanzhou UniversityLanzhou 730000People's Republic of China Department of Nanotechnology and Advanced Materials Engineering Sejong UniversitySeoul 05006Republic of Korea Department of Physics Saveetha School of EngineeringSaveetha Institute of Medical and Technical Sciences(SIMATS)ThandalamChennai 602105India Department of Chemistry Faculty of ScienceKing Khalid UniversityP.O.Box 900461413 AbhaSaudi Arabia Department of Physics College of ScienceUnited Arab Emirates UniversityP.O.Box 15551Al-AinUnited Arab Emirates School of Chemical Engineering Yeungnam UniversityGyeongsanGyeongbuk 38541South Korea

MXene has garnered widespread recognition in the scientific com-munity due to its remarkable properties,including excellent thermal stability,high conductivity,good hydrophilicity and dispersibility,easy processability,tunable surface properties,and admirable *** have been categorized into different families based on the number of M and X layers in M_(n+1)X_(n),such as M_(2)X,M_(3)X_(2),M_(4)X_(3),and,recently,M_(5)X_(4).Among these families,M_(2)X and M_(3)X_(2),par-ticularly Ti_(3)C_(2),have been greatly explored while limited studies have been given to M_(5)X_(4)MXene ***,studies on the M_(4)X_(3)MXene family have developed recently,hence,demanding a compilation of evaluated ***,this review provides a systematic overview of the latest advancements in M_(4)X_(3)MXenes,focusing on their properties and applications in energy storage *** objective of this review is to provide guidance to researchers on fostering M_(4)X_(3)MXene-based nanomaterials,not only for energy storage devices but also for broader applications.

关键词： MXene M_(4)X_(3)MXenes 2D materials Energy storage Properties

MicroRNAs modulation in lung cancer: exploring dual mechanisms and clinical prospects

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BIOCELL 2024年第3期48卷 403-413页

作者： SHAHID HUSSAIN HABIB BOKHARI XINGXING FAN SHAUKAT IQBAL MALIK SUNDAS IJAZ muhammad adnan SHEREEN AIMAN FATIMA Department of Biotechnology Kohsar University MurreeMurreePakistan Macao University of Science and Technology State Key Laboratory of Quality Research in Chinese Medicines TaipaMacao Department of Bioinformatics and Biosciences Capital University of Science and TechnologyIslamabadPakistan Department of Microbiology Kohsar University MurreeMurreePakistan

The global incidence of lung cancer is marked by a considerably elevated mortality ***(miRNAs)exert pivotal inﬂuence in the intricate orchestration of gene regulation,and their dysregulation can precipitate dire consequences,notably *** this context,miRNAs encapsulated in exosomes manifest a diversiﬁed impact on the landscape of lung cancer,wherein their actions may either foster angiogenesis,cell proliferation,and metastasis,or counteract these *** comprehensive review article discerns potential targets for the prospective development of therapeutic agents tailored for lung ***-suppressive miRNAs,such as miR-204,miR-192,miR-30a,miR-34a,miR-34b,miR-203,and miR-212,exhibit heightened expression and demonstrate the capacity to inhibit cellular proliferation and ***,the deleterious effects of tumor-promoting miRNAs like miR-21,miR-106a,miR-155,miR-205,and miR-210 can be attenuated through the application of their respective *** miRNAs selectively target various oncogenes,including NUAK Family Kinase 1(NUAK1),Snail Family Transcriptional Repressor 1(Snai1),Astrocyte elevated gene-1(AEG-1),Vimentin,Proliferation and apoptosis adaptor protein 15(PEA-15/PED),Hypoxia-inducible factor 1-alpha(HIF1),as well as tumor suppressor genes such as phosphatase and tensin homolog(PTEN),Suppressor of cytokine signaling 1(SOCS1),Tumor protein P53 binding protein 1(TP53BP1),and PH Domain and Leucine Rich Repeat Protein Phosphatase 2(PHLP22).This investigative approach proves invaluable in elucidating the speciﬁc miRNAs implicated in the deregulation of crucial genes pivotal to the pathogenesis of cancer.

关键词： miRNAs Oncogenes Tumor suppressive genes Lung cancer therapy

Nodular Pulmonary Amyloidosis with Interstitial Lung Disease—Case Report and Literature Review

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Open Journal of Thoracic Surgery 2024年第2期14卷 40-45页

作者： Efosa Imuetinyan Irshad Soomro muhammad Hawari adnan Raza Department of Thoracic Surgery Nottingham University Hospital Nottingham UK Department of Pathology Nottingham University Hospital Nottingham UK

Amyloidosis is a rare spectrum of disease which involves deposition of misfolded extracellular proteins (amyloids) in various body organs leading to progressive organ dysfunction. Clinical presentation can be variable depending on the organ involved and type of protein. Amyloidosis can be classified based on quantity, type, and location of these proteins. Amyloid light-chain amyloidosis develops in the bone marrow, producing abnormal forms of light-chain proteins, which cannot be broken down. These proteins transform into amyloid fibrils and form amyloid deposits in different organs. Pulmonary amyloidosis is uncommonly diagnosed since it is rarely symptomatic. Diagnosis of pulmonary amyloidosis is usually made in the setting of systemic amyloidosis;however, it may present as localised pulmonary disease. Localized pulmonary Amyloidosis can present as nodular, cystic, or tracheobronchial amyloidosis. Depending on the degree of the interstitial involvement, it may affect alveolar gas exchange and cause respiratory symptoms. This is a case of a 47-year-old female with background history of interstitial lung disease presenting with progressive shortness of breath. Computed tomography scan revealed bilateral pulmonary nodules. The patient was referred to our thoracic surgery team with the suspicion of bronchogenic malignancy with metastasis. Diagnostic video assisted wedge resection was performed for this patient, and histology confirmed pulmonary amyloidosis of nodular type. Amyloid deposition simulates both inflammatory and neoplastic conditions. Definitive diagnosis requires biopsy confirmation therefore early detection and commencing the patient on appropriate treatment pathway may help in symptomatic relief and better outcome.

关键词： Nodular Amyloidosis Interstitial Lung Disease Immunomodulatory Drugs

某废弃冶炼场地土壤不同粒径组分重金属的特征及其对修复策略的启示

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Journal of Central South University 2024年第4期31卷 1076-1091页

作者：赵鹏 muhammad adnan 肖佩文杨雪枫王海燕肖保华薛生国 State Key Laboratory of Environmental Geochemistry Institute of GeochemistryChinese Academy of SciencesGuiyang 550081China University of Chinese Academy of Sciences Beijing 100049China School of Metallurgy and Environment Central South UniversityChangsha 410083China

颗粒粒径组分对土壤重金属的分布与赋存具有重要影响,而当前对受冶炼活动影响的不同区域间土壤各粒径组分重金属分布的比较研究较少。本研究以某废弃铅冶炼场地为研究对象,选取三个土壤剖面(冶炼固废堆存区、交通区和邻近的农田),对比... 详细信息

颗粒粒径组分对土壤重金属的分布与赋存具有重要影响,而当前对受冶炼活动影响的不同区域间土壤各粒径组分重金属分布的比较研究较少。本研究以某废弃铅冶炼场地为研究对象,选取三个土壤剖面(冶炼固废堆存区、交通区和邻近的农田),对比研究了不同土壤颗粒粒径组分(>150、45~150和45μm)具有较高的重金属质量负载量(>50%),且废渣颗粒对土壤重金属的贡献显著,故物理分离技术可用于该场地的土壤污染修复。此外,石膏和莫来石可能是该场地受冶炼活动影响土壤的指示矿物。本研究将冶炼活动影响与土壤不同粒径组分重金属的赋存形态相关联,对修复策略具有一定的指导意义。

关键词：废弃铅冶炼场地土壤重金属颗粒粒径组分地球化学形态废渣物理分离技术

National guidelines for the diagnosis and treatment of hilar cholangiocarcinoma

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World Journal of Gastroenterology 2024年第9期30卷 1018-1042页

作者： Faisal Saud Dar Zaigham Abbas Irfan Ahmed muhammad Atique Usman Iqbal Aujla muhammad Azeemuddin Zeba Aziz Abu Bakar Hafeez Bhatti Tariq Ali Bangash Amna Subhan Butt Osama Tariq Butt Abdul Wahab Dogar Javed Iqbal Farooqi Faisal Hanif Jahanzaib Haider Siraj Haider Syed Mujahid Hassan adnan Abdul Jabbar Aman Nawaz Khan muhammad Shoaib Khan muhammad Yasir Khan Amer Latif Nasir Hassan Luck Ahmad Karim Malik Kamran Rashid Sohail Rashid Mohammad Salih Abdullah Saeed Amjad Salamat Ghias-un-Nabi Tayyab Aasim Yusuf Haseeb Haider Zia Ammara Naveed Department of Hepatopancreatic Biliary Surgery&Liver Transplant Pakistan Kidney and Liver Institute&Research CentreLahore 54000Pakistan Department of Hepatogastroenterology and Liver Transplantation Dr.Ziauddin University HospitalKarachi 75600SindhPakistan University of Aberdeen Aberdeen B243FXUnited Kingdom Department of Pathology Pakistan Kidney and Liver Institute&Research CentreLahore 54000Pakistan Department of Gastroenterology&Hepatology Pakistan Kidney and Liver Institute&Research CentreLahore 54000Pakistan Department of Radiology Aga Khan UniversityKarachi 74800Pakistan Department of Oncology Hameed Latif HospitalLahore 54000Pakistan Division of Hepatopancreatic Biliary Surgery&Liver Transplantation Shifa International HospitalIslamabad 44000Pakistan Department of Hepatopancreatic Biliary Surgery&Liver Transplant Shaikh Zayed Hospital and Post Graduate Medical InstituteLahore 54000Pakistan Department of Medicine Aga Khan University HospitalKarachi 74800Pakistan Department of Liver Transplant Pir Abdul Qadir Shah Jeelani Institute of Medical SciencesGambat 66020Pakistan Department of Medicine&Gastroenterology Lifecare Hospital and Research CentrePeshawar 25000Khyber PakhtunkhwaPakistan Department of Hepatopancreatobiliary&Liver Transplant Bahria International HospitalLahore 54000Pakistan Department of Surgery Hepatopancreatobiliary&Liver TransplantDow University of Health SciencesKarachi 74800Pakistan Department of Gastroenterology Hepatology&NutritionPir Abdul Qadir Shah Jeelani Institute of Medical SciencesGambat 66020Pakistan Department of Oncology Dr.Ziauddin HospitalKarachi 74800Pakistan Department of Radiology Rehman Medical InstitutePeshawar 25000Pakistan Army Liver Transplant Unit Pak Emirates Military HospitalRawalpindi 46000Pakistan Department of Gastroenterology Sindh Institute of Urology and TransplantationKarachi 75500Pakistan Rashid Nursing Home and Cancer Clinic Rashid Nursing Home and Cancer ClinicRawalpindi 46000Pakistan Department of Gastroentero

A consensus meeting of national experts from all major national hepatobiliary centres in the country was held on May 26,2023,at the Pakistan Kidney and Liver Institute&Research Centre(PKLI&RC)after initial consultations with the *** Pakistan Society for the Study of Liver Diseases(PSSLD)and PKLI&RC jointly organised this *** effort was based on a comprehensive literature review to establish national practice guidelines for hilar cholangiocarcinoma(hCCA).The consensus was that hCCA is a complex disease and requires a multidisciplinary team approach to best manage these *** coordinated effort can minimise delays and give patients a chance for curative treatment and effective *** diagnostic and staging workup includes high-quality computed tomography,magnetic resonance imaging,and magnetic resonance *** cytology or biopsy utilizing endoscopic retrograde cholangiopancreatography is a mainstay for ***,histopathologic confirmation is not always required before *** ultrasound with fine needle aspiration of regional lymph nodes and positron emission tomography scan are valuable adjuncts for *** only curative treatment is the surgical resection of the biliary tree based on the Bismuth-Corlette *** patients with unresectable hCCA can be considered for liver *** chemotherapy should be offered to patients with a high risk of *** use of preoperative biliary drainage and the need for portal vein embolisation should be based on local multidisciplinary *** with acute cholangitis can be drained with endoscopic or percutaneous biliary *** chemotherapy with cisplatin and gemcitabine has shown improved survival in patients with irresectable and recurrent hCCA.

关键词： Hilar cholangiocarcinoma Bismuth-Corlette classification Memorial Sloan Kettering Cancer Centre Staging Preoperative biliary drainage Portal vein embolisation Surgical resection Hepatectomy