alexandria engineering journal最新文献

{"title":"A novel analytical approach based on graphene-silver nanocomposites for monitoring lung cancer biomarkers in biological fluids","authors":"Wen Dong ,&nbsp;Rong Xie ,&nbsp;Nan Yang ,&nbsp;Shengming Liu","doi":"10.1016/j.aej.2024.10.024","DOIUrl":"10.1016/j.aej.2024.10.024","url":null,"abstract":"<div><div>In this work, we present a novel microfluidic immunosensor for the detection of the lung cancer biomarker epithelial cell adhesion molecule (EpCAM). This sensor leverages the unique properties of graphene oxide (GO), silver nanoparticles (Ag NPs), and their composite (Ag NPs@GO) to achieve enhanced sensitivity and specificity. Ag NPs@GO composite is a sensitive and reasonably priced lung cancer biomarker sensor, and its integration into this sensor is innovative. This represents a major breakthrough in the field of biosensors for cancer detection. By acting as catalysts, the Ag NPs boost the electrochemical signal and enhance the sensor's functionality. The sensor shows a linear range of 0.005–100 pg/mL and a detection limit of 1.12 pg/mL, outperforming commercial ELISA (6.03 pg/mL). It demonstrates excellent sensitivity and specificity for EpCAM detection, with a relative standard deviation of less than 5 % for tampered blood samples, indicating good repeatability. Additionally, the sensor successfully identified circulating tumor cells (CTCs) in lung cancer patients’ blood samples, showing a strong correlation between CTC count and EpCAM concentration. These findings suggest that the microfluidic immunosensor could be a powerful tool for lung cancer surveillance and early diagnosis.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"128 ","pages":"Pages 699-710"},"PeriodicalIF":6.8,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144721316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Retraction notice to “Adaptive threshold based outlier detection on IoT sensor data: A node-level perspective” [Alex. Eng. J. 106 (2024) 675–690]","authors":"M. Veera Brahmam,&nbsp;S. Gopikrishnan","doi":"10.1016/j.aej.2025.07.018","DOIUrl":"10.1016/j.aej.2025.07.018","url":null,"abstract":"","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"128 ","pages":"Page 698"},"PeriodicalIF":6.2,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144704521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Retraction notice to \"Computational and numerical solutions to the Benney–Luke equation: Insights into nonlinear long wave dynamics in dispersive media\" [Alex. Eng. J. 110 (2025) 53–63]","authors":"Mostafa M.A. Khater","doi":"10.1016/j.aej.2025.07.017","DOIUrl":"10.1016/j.aej.2025.07.017","url":null,"abstract":"","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"128 ","pages":"Page 697"},"PeriodicalIF":6.2,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144704520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A new statistical framework: Theoretical concepts and implementations in the fields of sports and healthcare engineering","authors":"Chao Pei ,&nbsp;Shuaishuai Xu","doi":"10.1016/j.aej.2025.06.036","DOIUrl":"10.1016/j.aej.2025.06.036","url":null,"abstract":"<div><div>This manuscript presents improved families of estimators that utilize mean and rank transformations of auxiliary variables. The proposed estimators serve nonlinear data structures because their performance depends on precise CDF estimations. The proposed methods address complex data challenges through their framework, which incorporates auxiliary information within a simple random sampling (SRS) design. The performance evaluation, along with injury risk analysis and strategic game planning among athletes, benefits immensely through these estimators in sports analytics. These estimators enable healthcare professionals to deliver enhanced survival analysis, along with disease progression modeling and risk assessment, when dealing with nonlinear data structures. First-order approximation techniques confirm the statistical aspects of the newly proposed estimators. Scientific studies and theoretical examinations show that the novel estimator families deliver superior mean squared error (MSE) reduction as well as enhanced percentage relative efficiency (PRE) than conventional techniques. The validated theoretical foundation concurrently demonstrates real-world applicability of the proposed estimators. Moreover, the estimation tools also prove their worth through effective usage across different practical applications, including sports and healthcare applications.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"128 ","pages":"Pages 675-688"},"PeriodicalIF":6.2,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144702737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A secure and effective cross domain anonymous authentication scheme for highway network toll collection system","authors":"Jing Chen ,&nbsp;Tao Li ,&nbsp;WenJiang Liu ,&nbsp;Hao Li","doi":"10.1016/j.aej.2025.07.014","DOIUrl":"10.1016/j.aej.2025.07.014","url":null,"abstract":"<div><div>In today's accelerating process of global economic integration and urbanization, highways have become important indicators for measuring national or regional economic development and social progress in terms of their construction and operation levels. With the expansion of the highway network, highway network toll collection system (HNTCS) faces the challenge of balancing toll efficiency with user privacy and data security. Especially for cross domain authentication, traditional centralized authentication methods suffer from single point of failure and privacy leakage issues, and are difficult to meet the growing demand for authentication. Therefore, this article proposes a cross-domain authentication scheme for HNTCS based on two factors, which not only enables smooth passage of cross domain vehicles between different charging domains, but also effectively protects user privacy and data security. The scheme achieves efficient key negotiation, avoids the risk of privacy leakage and ensures the security of the transmission process. Analysis shows that this scheme can effectively resist security attacks and has low costs.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"128 ","pages":"Pages 689-696"},"PeriodicalIF":6.2,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144702736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A computational diagnostic model for infectious diseases via similarity measures on N-framed plithogenic hypersoft sets","authors":"Muhammad Rayees Ahmad ,&nbsp;Usman Afzal ,&nbsp;Nadir Omer ,&nbsp;Ali Delham Algarni ,&nbsp;Sara A. Ghorashi ,&nbsp;Huda Eltayeb","doi":"10.1016/j.aej.2025.06.028","DOIUrl":"10.1016/j.aej.2025.06.028","url":null,"abstract":"<div><div>In healthcare, tracking evolving symptoms is a tough task. Symptoms do not stay fixed. They shift, overlap, and change over time, often leaving clinicians unsure of what is happening. Imagine a patient with a fever that spikes one day, drops the next, and then climbs again. Is it malaria? Dengue? Or maybe both? Sorting this out can feel like chasing a moving target. Our research offers a mathematical solution by formulating distance and similarity measures on N-framed plithogenic hypersoft sets. This methodology takes a patient’s symptoms data and splits it into timed snapshots like frames in a film. By comparing these snapshots to known disease profiles, such as malaria or dengue, we can measure how closely a patients symptoms match each condition at different stages. This approach not only identifies what is present but also tracks how it is evolving, even when multiple diseases overlap. Beyond healthcare, this framework has wider potential. It can adapt to areas like AI-driven analytics or infrastructure monitoring anywhere shifting patterns in uncertain systems need to be understood. By measuring and visualizing change over time, this research boosts diagnostic accuracy in medicine and opens new ways to tackle dynamic data across fields.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"127 ","pages":"Pages 1209-1219"},"PeriodicalIF":6.2,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144704403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Engineering grace: A state-of-the-art statistical model with Monte Carlo simulation and an application in reliability engineering","authors":"Mohammed A. Alshahrani","doi":"10.1016/j.aej.2025.06.051","DOIUrl":"10.1016/j.aej.2025.06.051","url":null,"abstract":"<div><div>Within the discipline of engineering, the exploration of probability distributions is of utmost importance. As engineering systems and phenomena grow more complex, conventional probability distributions frequently fail to adequately represent the inherent uncertainties and variabilities found in practical applications. To overcome such situations, this paper introduces a novel statistical model that utilizes a trigonometric function to improve data modeling practices within engineering-related disciplines. The model put forward is an innovative modification of the very flexible Weibull distribution, referred to as the trigonometric very flexible Weibull (TVF-Weibull) distribution. We investigate a range of mathematical properties pertaining to the TVF-Weibull distribution, with a specific emphasis on its quartile characteristics. A conventional estimation technique is employed to derive the mathematical expressions for the estimators of the TVF-Weibull distribution. Furthermore, a simulation analysis is carried out to examine the effectiveness of these estimators across various parameter combinations. Finally, we present an application of the TVF-Weibull distribution, rooted in engineering, aiming to establish its advantages over a range of rival distributions. To achieve this goal, various probability distributions have been examined. The assessment, which incorporates four statistical criteria, indicates that the TVF-Weibull distribution is superior to all the selected conventional and non-conventional distributions.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"128 ","pages":"Pages 663-674"},"PeriodicalIF":6.2,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144686429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stability analysis of a modified general SEIR model with harmonic mean type of incidence rate","authors":"Sant Ram Chawla ,&nbsp;Saeed Ahmad ,&nbsp;Wedad Albalawi ,&nbsp;Asaf Khan ,&nbsp;Ismail Shah ,&nbsp;Mohamed R. Eid","doi":"10.1016/j.aej.2025.07.006","DOIUrl":"10.1016/j.aej.2025.07.006","url":null,"abstract":"<div><div>A generalized <span><math><mrow><mi>S</mi><mi>E</mi><mi>I</mi><mi>R</mi></mrow></math></span> epidemic dynamical model is developed to study the transmission of infectious diseases. The model includes a harmonic incidence rate. The model has been built using strong mathematical conclusions regarding stability. The model includes three equilibrium points: a disease free equilibrium <span><math><mrow><msub><mrow><mi>E</mi></mrow><mrow><mn>0</mn></mrow></msub><mo>,</mo></mrow></math></span> an infection-free equilibrium <span><math><msub><mrow><mi>E</mi></mrow><mrow><mn>1</mn></mrow></msub></math></span> and an endemic equilibrium <span><math><mrow><msub><mrow><mi>E</mi></mrow><mrow><mn>2</mn></mrow></msub><mo>.</mo></mrow></math></span> Using the direct technique of Lyapunov and LaSalle’s invariance principle, we demonstrate that <span><math><msub><mrow><mi>E</mi></mrow><mrow><mn>0</mn></mrow></msub></math></span> is globally asymptotically stable if <span><math><mrow><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub><mo>&lt;</mo><mn>1</mn></mrow></math></span>, and globally asymptotically unstable if <span><math><mrow><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub><mo>&gt;</mo><mn>1</mn></mrow></math></span>, under specific model parameter conditions. The present study involves sensitivity analysis, as the issue provided demonstrates bifurcation. The maximal principle of Pontryagin is utilized to select the best control methods for the specified model. In conclusion, the analytical results of this study are supported and verified by numerical simulations conducted under settings that are physiologically relevant.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"127 ","pages":"Pages 1183-1192"},"PeriodicalIF":6.2,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144680802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bifurcation analysis and nonlinear elastic behavior of FG foam-filled double cylindrical microtubes via the modified couple stress theory in thermal environment","authors":"Sarah M. Albalawi,&nbsp;Mohammed Sobhy,&nbsp;Adel A. Elmandouh","doi":"10.1016/j.aej.2025.07.010","DOIUrl":"10.1016/j.aej.2025.07.010","url":null,"abstract":"<div><div>This paper presents a comprehensive investigation into the nonlinear wave propagation, vibration characteristics, and thermal postbuckling behavior of double cylindrical microtubes filled with functionally graded (FG) metal foam. The microtubes are composed of FG ceramic–metal materials, where the outer and inner surfaces are ceramic-rich, while the interfaces adjoining the foam core are metal-rich. This gradient configuration is chosen to enhance the mechanical integrity and bonding strength between the tubes and the foam core. The system is modeled as being embedded in a linear elastic foundation and subjected to a temperature gradient varying across the thickness according to a power-law distribution. Three distinct porosity distribution patterns are considered to simulate different foam structures. According to Euler–Bernoulli beam theory and von-Kármán’s strain–displacement relations, the nonlinear governing equation of motion is presented. Two solution procedures are considered to solve the governing equation. The first relies on the Galerkin method to obtain the nonlinear vibration and postbuckling temperature curves, while a theorem containing existence conditions for periodic, super-periodic, solitary, and kink (anti-kink) solutions is derived through bifurcation analysis. The imposition of bifurcation constraints on the physical parameters enables the construction of new solutions to the governing equation, which are subsequently categorized as periodic, super-periodic, kink, or solitary wave solutions. The results obtained are validated by introducing some comparison examples. Furthermore, the influences of various parameters such as foam layer thickness, length-to-depth ratio, porosity factor, porosity distribution type, elastic foundation parameter, gradient index, and temperature on the results are all discussed in detail.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"127 ","pages":"Pages 1167-1182"},"PeriodicalIF":6.2,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144680801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implications of machine learning techniques for prediction of motor health disorders in Saudi Arabia","authors":"Ehab M. Almetwally ,&nbsp;I. Elbatal ,&nbsp;Mohammed Elgarhy ,&nbsp;Amr R. Kamel","doi":"10.1016/j.aej.2025.07.015","DOIUrl":"10.1016/j.aej.2025.07.015","url":null,"abstract":"<div><div>People with disabilities are cared for in Saudi Arabia in a way that guarantees their rights and improves the services they receive by giving them the resources they need for prevention, care, and rehabilitation. Through various medical, psychological, social, educational, media, and regulatory means, it has attempted to create a protective wall to prevent or limit impairment, detect it early, and lessen its impacts. To effectively manage motor impairment illnesses in their early phases, this research largely focuses on creating sophisticated diagnostic techniques for early identification. As a result, early identification of motor health issues enables professionals to offer more potent treatments, enhancing the patient’s general health. To help specialists dealing with disabilities and motor disabilities, especially psychologists and psychiatrists, make judgments by examining patient behavior data and medical records, artificial intelligence (AI) and machine learning (ML) algorithms have been employed. To detect motor disability cases based on several accuracy criteria, this study identified and assessed the performance of six major ML algorithms: decision trees (DT), naïve Bayes (NB), k-nearest neighbors (K-NN), support vector machines (SVM), artificial neural networks (ANNs), and random forest (RF). The algorithms were evaluated using a standardized dataset obtained from the Kaggle website. The dataset was partitioned into a training set comprising 70 % of the data and a testing set containing 30 % of the data using the ML algorithms. The results of the implemented algorithms demonstrated that the RF technique attained an accuracy of 100 %, while the DT technique scored an accuracy of 63 %, the NB approach scored an accuracy of 69 %, the K-NN technique scored an accuracy of 76 %, and the SVM technique scored an accuracy of 90 %. The RF technique achieves the largest area under the curve, and the RF technique is the most effective of all ML algorithms, according to the results of the applied ML algorithms. This system aims to detect and forecast motor impairment disorders early on using AI model approaches. This system is an efficient tool that properly detects and diagnoses a variety of motor impairment problems using ML algorithms. Decisions are made easier and social health care is improved with the help of this system because timely interventions are implemented, patient outcomes are improved, and resource allocation is optimized.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"127 ","pages":"Pages 1193-1208"},"PeriodicalIF":6.2,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144680494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}