rss_2.0Physics FeedSciendo RSS Feed for Physics Feed of the current situation and influencing factors of information technology education in middle school<abstract> <title style='display:none'>Abstract</title> <p>The development of science and technology is becoming more and more rapid, and the educational empowerment of information technology (IT) in middle schools is becoming more and more obvious. The interesting and operational aspects of IT are suitable for middle school students, who are gradually becoming more rational in their thinking and problem-solving skills, and who are curious to discovering new things. This paper analyses the factors influencing the acceptance of IT education among middle school students by reviewing a large amount of literature and compiling technology-related theories. The research variables are determined by combining the characteristics of middle school students, and a structural equation model is constructed to select the factors influencing the acceptance of technology in secondary school IT classrooms, and the hypothesis is proposed, tested and revised, and then the scientific and effective measures are proposed according to the model. By the statistical analysis of variables, it can be seen that the average values of perceived ease of use and social influence (SI) are relatively high, which are 3.9899 and 4.1933, respectively, indicating that SI and subjective initiative have significant positive correlations with the behavioural intentions of middle school students in learning IT. As technological literacy is low, with an average value of only 3.4966, the influence of the technological literacy of IT on middle school students’ learning ability is not significant. This reflects the degree of middle school students’ mastery of the knowledge of IT, which is not enough. Further, the initiative of learning in the network is low and the needs of teachers in IT classes indirectly affect students’ learning initiative. It is hoped middle school students learn IT through the network by their initiative and provide guidance for teachers in teaching, to promote the application and deep popularity of IT in secondary school education.</p> </abstract>ARTICLEtrue study of immersive technology for product usability improvement design based on comprehensive value evaluation<abstract> <title style='display:none'>Abstract</title> <p>The combined value of any product design method depends on the design benefits and costs of use, determining the need to put the method into practice. In this study, a virtual reality design system was constructed to support the widely adopted user interview method for the usability improvement design of an existing product, using an industrial remote control as example. The combined value of the method was verified to be superior to the use of user interviews alone, in terms of the number and importance of usability questions mined by users, the level of styling of improved design solutions guided by usability questions, and the willingness of designers to use the method. It provides a useful reference for the promotion of immersive technology in the field of product design and the search for new focus points.</p> </abstract>ARTICLEtrue Journal of Mathematics and Computer in Engineering<P><STRONG><EM>International Journal of Mathematics and Computer in Engineering</EM> (IJMCE)</STRONG> provides an international forum for rapid publication of original scientific works in the field of mathematics, computer science, nonlinear sciences, physics, and engineering. </P> <P>The journal’s scope encompasses all nonlinear dynamic phenomena associated with engineering, applied sciences, computational science, computer, mechanical science, mathematics, electrical science, physical science, and nonlinear systems. </P> <P>Review articles and original contributions are based on analytical, computational, and experimental methods. </P> <P><STRONG><EM>International Journal of Mathematics and Computer in Engineering</EM> (IJMCE)</STRONG> is dedicated to publishing the highest-quality short papers, regular papers, and expository papers. IJMCE considers only original and timely contributions containing new results in various fields of mathematics and computer engineering. </P> <P><STRONG>IJMCE</STRONG> publishes one volume and two issues per year. The scope of this journal includes but is not limited to: </P> <UL> <LI>engineering problems related to graph theory, artificial intelligence, deep learning, imaging, neural network, big data, machine learning; </LI> <LI>analysis, modelling, and control of phenomena in areas such as electrical engineering, computer science, fluid dynamics and thermal engineering, mechanics, biology, physics, applied sciences; </LI> <LI>dynamical systems related applications of computer and mathematics in physics, engineering, chemistry, economics, and social sciences; </LI> <LI>computational fluid dynamics, optimisation, fuzzy probability and heat problems; </LI> <LI>statistical computation and simulation;</LI> <LI>numerical methods for ODEs, PDEs, FDEs; </LI> <LI>analytical methods for ODEs, PDEs, FDEs; </LI> <LI>numerical analysis and algebra; </LI> <LI>mathematical analysis and its applications; </LI> <LI>soliton theory and its applications; </LI> <LI>nonlinear methods and their applications; </LI> <LI>computational geometry and topology; </LI> <LI>computational intelligence and complexity; </LI> <LI>theoretical computer science; </LI> <LI>computational physics and biology; </LI> <LI>mathematical physics.</LI></UL> <P></P> <P><STRONG>Archiving </STRONG></P> <P>Sciendo archives the contents of this journal in <A href="">Portico</A> - digital long-term preservation service of scholarly books, journals and collections. </P> <P><STRONG>Plagiarism Policy</STRONG> </P> <P>The editorial board is participating in a growing community of <A href="">Similarity Check System</A>'s users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. </P> JOURNALtrue of hybrid kernel function in economic benefit analysis and evaluation of enterprises<abstract> <title style='display:none'>Abstract</title> <p>The economic benefit of enterprises is an effective index to measure the economic activities, which forms the basis and starting point. Therefore, in this paper, the traditional analysis methods of enterprise in terms of economic benefits are compared and based on its evaluation principles, the advantages, theory and realisation process of the kernel function in enterprise economic benefits analysis are analysed. Then, different kernel functions are selected to analyse the total output value, product sales rate, sales revenue, total profit and total profits after taxes of five enterprises, and their economic benefits are evaluated by the cumulative contribution rate of principal components. Finally, the mixed kernel function based on the combination of polynomial kernel function and Gaussian kernel function is used to optimise the analysis effect, which is meant to help enterprise leaders make more scientific decisions and lay a foundation for the sound development of enterprises.</p> </abstract>ARTICLEtrue and application of the ‘Learning in Zhejiang University City College’ platform, integrating teaching evaluation and management<abstract> <title style='display:none'>Abstract</title> <p>In view of the isolation of the software and hardware teaching environment, isolation of various online teaching platforms and lack of coordination of data, it is not conducive for further promotion of ‘Internet Plus Teaching’ and the improvement of online teaching. The Trinity teaching platform, namely ‘Learning in Zhejiang University City College’ is built against the background of digitalisation reform in colleges and universities. The teaching platform integrates the smart classroom, the Zhiyun Classroom (online classroom) and the curriculum platform. The platform breaks through the limitation of time and space, connects the teaching process and implements the integrated ‘teaching, learning, evaluation and management’ based on data collaboration. It is fully applied in Zhejiang University City College, and is stable, efficient and convenient, with a high access rate and better interaction between teachers and students. It effectively implements closed-loop management of the teaching process, changes the educational form of teacher education, student learning and school management. It also adapts to the cultivation of innovative and individualised talents under the new situation, and further deepens reforms of ‘Internet Plus Teaching’. It provides a solid support for the whole process management of student learning.</p> </abstract>ARTICLEtrue and prediction of regional human capital based on optimised BP neural network<abstract> <title style='display:none'>Abstract</title> <p>With the increasing role of knowledge and technology in the economy, human capital has become the decisive factor for economic development and social progress. Measuring, evaluating or predicting the level of regional human capital within a country can grasp the investment policy of human capital as a whole. Therefore, in this paper, a prediction model of regional human capital level based on optimised BP neural network is built. First, the evaluation system of the regional human capital is constructed by selecting 15 evaluation indexes in 5 categories, such as educational training, development of science and technology, medical care, labour migration and social security. Then, the PSO algorithm is used to optimise the BP neural network, and the core problems in the optimisation process are solved. Finally, the model is tested and analysed by the MATLAB simulation platform. The results show that the prediction accuracy of the model is high, and the output results are basically consistent with the reality, which is conducive to promoting the structural upgrading of human capital.</p> </abstract>ARTICLEtrue and evaluation of intelligent teaching system on basic movements in PE<abstract> <title style='display:none'>Abstract</title> <p>For a long time, the situation of students’ learning in physical education (PE) was not optimistic, especially the basic movement learning after class, which lacked effective online learning tools. With the in-depth research of deep neural network and the rapid development of computer hardware, the artificial intelligence technology based on deep learning has performed well in the field of basic teaching. Therefore, in this paper, an intelligent teaching system of basic movements in PE is designed. First, the information of coordinate points is collected according to the Gaussian model, and the pose of students is estimated by OpenPose. Second, the overall architecture and functional modules of the system are designed. Finally, the deviation limbs that affect the standard of overall movements are identified by the matching algorithm, which realises the evaluation and feedback of basic movements in PE. Through this teaching system, teachers can obtain the learning situation of students’ movements, and students can adjust their movements through the feedback, which achieves the convenient interaction of PE teaching.</p> </abstract>ARTICLEtrue nonlinear effects of ageing on national savings rate – An Empirical Study based on threshold model<abstract> <title style='display:none'>Abstract</title> <p>Researching the past empirical studies, we find that the empirical results of using data from the same or similar stages of economic development tend to be very close; however, there will be some discrepancies when comparing the empirical results of data samples at different stages of development. In order to explain this phenomenon, a theoretical analysis is made on the regional differences in the impact of population ageing on national saving. By analysing the areas considered in this paper as being in different stages of economic development, the combined effects of population ageing on the national saving rate are different. In order to verify the above conclusions, the thresholds and threshold effects are estimated and tested through the threshold model. The results show that the impact of population ageing on the savings rate will be different due to different levels of economic development. When per capita income is below the threshold of 9001.69, population ageing has a greater negative impact on the national savings rate. When per capita income is above the threshold of 9001.69, the negative impact of population ageing on the national saving rate is smaller.</p> </abstract>ARTICLEtrue determination of virtual source position using convergent anti-trigonometric functions (arcCOS and arcSIN) method for scanning-passive scatter beam in carbon ion therapy<abstract> <title style='display:none'>Abstract</title> <p><italic>Introduction:</italic> We developed a convergent trigonometric functions technique (arcCOS, arcSIN) capable of dealing with the virtual source position delivered by different carbon ion energies from the pattern of scanning-passive scatter beam in this study.</p> <p><italic>Materials and Methods:</italic> A home-made large-format CMOS sensor and Gaf Chromic EBT3 films were used for the virtual source position measurement. The Gaf films were embedded in a self-designed rectangular plastic frame to tighten the films and set up on a treatment couch for irradiation in the air with the film perpendicular to the carbon ion beam at the nominal source-axis-distance (SAD) as well as upstream and downstream from the SAD. The horizontal carbon ion beam with 5 energies at a machine opening field size was carried out in this study. The virtual source position was determined with a convergent arcCOS and arcSIN methods and compared with the linear regression by back-projecting the FWHM to zero at a distance upstream from the various source-film-distance.</p> <p><italic>Results:</italic> The film FWHM measurement error of 0.5 mm (the large-format CMOS detectors was in pixel, a pixel equals 0.5 mm) leads to 1×10<sup>-3</sup>% deviation of α(cACOS and cASIN) at every assumed virtual source position. The overall uncertainty for the reproducibility of the calculated virtual source position by the assumed t in the vertical and horizontal directions amounts to 0.1%. The errors of calculated virtual source position by assumed t with back projecting FWHM to zero methods were within 1.1 ± 0.001, <italic>p</italic> = 0.033. The distance of virtual source positions is decreased from SAD with high to low energy.</p> <p><italic>Conclusion:</italic> We have developed a technique capable of dealing with the virtual source position with a convergent arcCOS and arcSIN methods to avoid any manual measurement mistakes in scanning-passive scatter carbon ion beam. The method for investigating the virtual source position in the carbon ion beam in this study can also be used for external electrons and the proton.</p> </abstract>ARTICLEtrue of national diagnostic dose reference levels (DRLs) for routine computed tomography examinations in Jordan<abstract> <title style='display:none'>Abstract</title> <p><italic>Background:</italic> Dose reference levels (DRLs) are used as indicators as well as guidance for dose optimization and to ensure justification of appropriate dose for a given clinical indication. The main aims of this study were to establish local DRLs for each CT imaging protocol as a reference point to evaluate the radiation dose indices and to compare our DRLs with those established in other countries and against the internationally reported guidelines.</p> <p><italic>Materials and methods:</italic> 2000 CT dose reports of different adult imaging protocols from January 2021 until April 2022 were collected retrospectively at different hospitals in Jordan. Data were collected from CT scans that were performed using different types and models of CT scanners and included four adult non-enhanced, helical CT imaging protocols; Head, Chest, Abdomen-Pelvis, and Chest-Abdomen-Pelvis.</p> <p><italic>Results:</italic> The average doses of CTDI<sub>vol</sub>, DLP, and effective dose were (65.11 mGy, 1232.71 mGy·cm, 2.83 mSv) for the head scan, (16.6 mGy, 586.6 mGy·cm, 8.21 mSv) for the chest scan, (17.91 mGy, 929.9 mGy·cm, 13.9 mSv) for the abdomen-pelvis scan, and (19.3 mGy, 1152 mGy·cm, 17.25 mSv) for the chest-abdomen-pelvis scan. In comparison with results from different international studies, DLP values measured in the present study were lower for the chest-abdomen-pelvis and abdomen-pelvis CT scans, and higher for the head CT and chest CT scans.</p> <p><italic>Conclusions:</italic> It is very important that each country establishes its own DRLs and compares them with those reported by other countries, especially the developed ones. It is also important that these levels are regularly updated.</p> </abstract>ARTICLEtrue method for blood glucose monitoring using ECG signal<abstract> <title style='display:none'>Abstract</title> <p><italic>Introduction:</italic> Tight glucose monitoring is crucial for diabetic patients by using a Continuous Glucose Monitor (CGM). The existing CGMs measure the Blood Glucose Concentration (BGC) from the interstitial fluid. These technologies are quite expensive, and most of them are invasive. Previous studies have demonstrated that hypoglycemia and hyperglycemia episodes affect the electrophysiology of the heart. However, they did not determine a cohort relationship between BGC and ECG parameters.</p> <p><italic>Material and method:</italic> In this work, we propose a new method for determining the BGC using surface ECG signals. Recurrent Convolutional Neural Networks (RCNN) were applied to segment the ECG signals. Then, the extracted features were employed to determine the BGC using two mathematical equations. This method has been tested on 04 patients over multiple days from the D1namo dataset, using surface ECG signals instead of intracardiac signal.</p> <p><italic>Results:</italic> We were able to segment the ECG signals with an accuracy of 94% using the RCNN algorithm. According to the results, the proposed method was able to estimate the BGC with a Mean Absolute Error (MAE) of 0.0539, and a Mean Squared Error (MSE) of 0.1604. In addition, the linear relationship between BGC and ECG features has been confirmed in this paper.</p> <p><italic>Conclusion:</italic> In this paper, we propose the potential use of ECG features to determine the BGC. Additionally, we confirmed the linear relationship between BGC and ECG features. That fact will open new perspectives for further research, namely physiological models. Furthermore, the findings point to the possible application of ECG wearable devices for non-invasive continuous blood glucose monitoring via machine learning.</p> </abstract>ARTICLEtrue Biotechnology Congress 2022 - Poster Presentation Abstracts of PAP-IgM FcK fusion protein with J-chain expressed in transgenic plant<abstract> <title style='display:none'>Abstract</title> <p>Transgenic plants expressing immunoglobulin (Ig) M Fc-fused Prostate acid phosphatase (PAP) antigenic proteins (PAP-IgM FcK) and J-chain proteins were generated by Agrobacterium-mediated transformation. The Fc region was tagged with the ER retention motif (KDEL) to make PAP-IgM FcK. Two transgenic plants were crossed together to generate F<sub>1</sub> expressing both PAP-IgM FcK and J-chain proteins (PAP-IgM FcK × J-chain). PCR and RT-PCR analyses confirmed the transgene insertion and mRNA transcription of PAP-IgM FcK and J-chain in leaf tissue of PAP-IgM FcK × J-chain F<sub>1</sub> plant. Western blot confirmed the expression of PAP-IgM FcK × J-chain protein. Size exclusion (SEC)-high performance liquid chromatography (HPLC) and Bio-transmission electron microscope (TEM) analyses were performed to show the size and shape of the PAP- IgM FcK × J-chain fusion proteins. These results suggest that PAP-IgM FcK with J-chain can be produced in plant expression system with plant crossing.</p> </abstract>ARTICLEtrue Biotechnology Congress 2022 - Invited Speaker Abstracts Fibroin Hybrids for Biological Scaffolds with Adhesive Surface and Adaptability to the Target Tissue Change<abstract> <title style='display:none'>Abstract</title> <p><bold>Background</bold> Regenerative Medicine (RM) is a branch of medicine that aims to regenerate tissues and organs to overcome the problems transplants entail (poor availability, risk of rejection and intense immunosuppression). To do this, RM makes use of tissue engineering (TE). This fundamental branch deals with creating biological scaffolds capable of performing the role that physiologically belongs to the extracellular matrix (ECM). In this review, we report how specific characteristics of the scaffolds (bio-compatibility, biodegradability and mechanical and conformal properties) can be obtained using 3D printing, which facilitates the emulation of physiological tissues and organs.</p> <p><bold>Purpose and scope</bold> This review reports recent advances in the fabrication method of bioactive scaffolds that can be used clinically, providing support for cell seeding and proliferation. To this end, silk fibroin, tannin and graphene were used to improve the scaffold’s electro-bio-mechanical properties. These materials in different compositions are studied to demonstrate their potential use as bio-ink in bioadhesives and cellularized and implantable 3D-printed scaffolds.</p> <p><bold>Summary of new synthesis and conclusions reached in the review</bold> Silk fibroin is a natural biopolymer; tannin, on the other hand, is a biological polyphenol, highly reactive with other molecules by nature and with promising antioxidant capabilities. Finally, graphene is nothing more than a monolayer of graphite that has been shown to implement the mechanics and electrical conductivity of the compounds in which it is inserted; it also has excellent biocompatibility and surface area, qualities that promote cell adhesion and growth.</p> <p><bold>Conclusion</bold> Polyphenols and graphene have been shown to work in synergy in improving the electro-mechanical properties of silk fibroin scaffolds. We reported optimal and potentially market-competitive bioadhesives, but above all, the proliferation of neuronal precursor cells in vitro was successfully demonstrated.</p> </abstract>ARTICLEtrue Biotechnology Congress 2022 - Oral Presentation Abstracts Biotechnology Congress 2022 9th Annual International Seminar on Trends in Science and Science Education (AISTSSE) 2022<DIV align=justify><P>This is the ninth time we are hosting this seminar and we are proud to inform you that this seminar is an annual event in our calendar and has been held every year since 2014. This year, for the third year, we are holding it via Zoom meeting (online meeting) due to Covid-19 pandemic. We are inviting internationally recognized speakers from several countries to share their latest discoveries in the fields of Biology, Chemistry, Physics, Mathematics and Science Education. Well-known researchers in science and science education will share their experiences and knowledge so that we can stay up-to-date with the latest information. This is one of the goals of this seminar. As science researchers, we realize the importance of information exchange among us. </P> <P>The new information enlightens our minds and gives us ideas on what to do next in our research and how to do it. This new information often becomes the foundation for our next project in particular and sets the research trends for the upcoming year in general. Information exchange also keeps us updated, allowing us to give and receive suggestions and critiques that will lead to better results. Therefore, we need a forum where we can share and exchange information. Seminars, conferences, and other scientific gatherings are the media through which we can do this. </P><STRONG></STRONG> <P><STRONG>Organizer</STRONG> </P> <P>Faculty of Mathematics and Natural Sciences of Universitas Negeri Medan </P><STRONG></STRONG> <P><STRONG>Where</STRONG> </P> <P>Web Seminar via Zoom Meeting </P><STRONG></STRONG> <P><STRONG>When</STRONG> </P> <P>Tuesday, 8th November 2022 </P><STRONG></STRONG> <P>Theme </P> <P>The development of industrial-based research in science and science education to improve research innovation strategy </P><STRONG></STRONG> <P>Topics: </P> <P>AISTSSE-2020 included following topics: </P> <P>1. Mathematics Science </P> <P>2. Mathematics Education </P> <P>3. Physics Science </P> <P>4. Physics Education </P> <P>5. Biology Science </P> <P>6. Biology Education </P> <P>7. Chemistry Science </P> <P>8. Chemistry Education </P> <P>9. Computer Science </P> <P>10.Science Education </P><STRONG></STRONG> <P><STRONG>Scientific Committee</STRONG> </P> <P>1. Prof. Dr. Syawal Gultom, M.Pd, Universitas Negeri Medan (Indonesia) </P> <P>2. Prof. Dr. Marleen Kamperman,  University of Groningen (Netherland) </P> <P>3. Prof. Manihar Situmorang, M.Sc., Ph.D , Universitas Negeri Medan (Indonesia) </P> <P>4. Prof. Tsunenori Mine,  School of Engineering, Department of Electrical Engineering and Computer Science, Kyushu University (Japan) </P> <P>5. Prof. Dian Armanto, M.Pd, Universitas Negeri Medan (Indonesia) </P> <P>6. Prof. Dr. Herbert Sipahutar, M.Sc  , Universitas Negeri Medan (Indonesia) </P> <P>7. Prof. Abedel Karrem Nasser M Alomari Department of Mathematics, Faculty of Science, Yarmouk University (Jordan) </P> <P>8. Prof. Dr. Bornok Sinaga, M.Pd , Universitas Negeri Medan (Indonesia) </P> <P>9. Prof. Dr. Muhammad Sattar Rasul Universitas Kebangsaan Malaysia, (Malaysia) </P> <P>10. Prof. Motlan, M.Sc., Ph.D , Universitas Negeri Medan (Indonesia) </P> <P>11. Prof. Dr. Asmin, M.Pd  , Universitas Negeri Medan (Indonesia) </P> <P>12. Prof. Dr. Fauziyah Harahap, M.Si, Universitas Negeri Medan (Indonesia) </P> <P>13. Prof. Dr. Mukhtar, M.Pd , Universitas Negeri Medan (Indonesia) </P> <P>14. Prof. Dr. Pargaulan Siagian, M.Pd , Universitas Negeri Medan (Indonesia) </P> <P>15. Prof. Dr. Sahat Saragih, M.Pd , Universitas Negeri Medan (Indonesia) </P> <P>16. Prof. Dr. Edi Syahputra, M.Pd , Universitas Negeri Medan (Indonesia) </P> <P>17. Prof. Dr. Hasratuddin, M.Pd , Universitas Negeri Medan (Indonesia) </P> <P>18. Prof. Dr. Ramlan Silaban, M.Si, Universitas Negeri Medan (Indonesia) </P> <P>19. Prof. Dr. Retno Dwi Suyanti, M.Si , Universitas Negeri Medan (Indonesia) </P> <P>20. Prof. Dr. Nurdin Bukit, M.Si , Universitas Negeri Medan (Indonesia) </P> <P>21. Prof. Dr. Sahyar, M.S , Universitas Negeri Medan (Indonesia) </P> <P>22. Prof. Dr. rer. nat. Binari Manurung, M.Si , Universitas Negeri Medan (Indonesia) </P> <P>23. Prof. Dr. Makmur Sirait, M.Si , Universitas Negeri Medan (Indonesia) </P> <P>24. Prof. Dr. Eva Marlina Ginting, M.Si , Universitas Negeri Medan (Indonesia) </P> <P>25. Prof. Dr. Drs. Tri Harsono, M.Si, Universitas Negeri Medan (Indonesia) </P> <P>26. Prof. Dr. Martina Restuati, M.Si, Universitas Negeri Medan (Indonesia) </P> <P>27. Prof. Drs. Zul Amry, M.Si., Ph.D, Universitas Negeri Medan (Indonesia) </P><STRONG></STRONG> <P>Supported by: FORUM MIPA LPTK INDONESIA </P> <P></P> <P><STRONG><EM>The conference does not have article processing charges (APCs) nor article submission charges</EM></STRONG> </P> <P><STRONG>Open Access Statement</STRONG> </P> <P>This conference proceedings is an Open Access proceedings that allows a free unlimited access to all its contents without any restrictions upon publication to all users. </P> <P><STRONG>Open Access License</STRONG> </P> <P>This conference proceedings provides immediate open access to its content under the <A href="">Creative Commons BY 4.0</A>. Authors who publish with these proceedings retain all copyrights and agree to the terms of the above-mentioned <A href="">Creative Commons BY 4.0</A> license. </P>BOOKtrue on classification of e-commerce customers based on BP neural network<abstract> <title style='display:none'>Abstract</title> <p>With the development of e-commerce technology, the relationship between enterprises and customers has been completely changed. The core management concept of enterprises has gradually transformed from ‘product-centred’ to ‘customer-centred’. Adopting effective methods to classify customers, implementing different management and marketing schemes of customer retention and customer upgrading will play an important role in promoting the development of e-commerce enterprises. Therefore, the classification of e-commerce customers based on Back Propagation (BP) neural network is studied in this work. Firstly, the theoretical basis of customer classification is summarised in the Introduction and theoretical part. Then, a classification index system of the e-commerce customer is constructed, and on this basis, a classification model of the e-commerce customer based on the BP neural network is constructed. Finally, the results of classification are analysed with related data.</p> </abstract>ARTICLEtrue Analysis of Single Pile with Embedded Beam Row and Volume Pile Modeling under Seismic Load<abstract> <title style='display:none'>Abstract</title> <p>Indonesia is located between the Eurasian, Pacific, Philippines, and Indo-Australian plates. Various tectonic processes in the world and collisions between large plates and several small plates trigger many earthquakes in Indonesia. This study aimed to evaluate the response of bored piles in the Auditorium Building of Brawijaya University toward seismic loads through analytical and numerical approaches based on finite elements with 2D (embedded beam row) and 3D (volume pile) modeling, where the analysis approach of pile deformation and lateral resistance with numerical methods will depend on idealization of the model used. In addition, the lateral resistance was compared based on combination lateral loads, pile stiffness, and soil stiffness when the values were different. The 2D finite element analysis reduces lateral resistance but overestimated the deflection on the pile surface. This is because in the 2D finite element modeling with an embedded beam row that the friction factor represented by the spring can reduces the stiffness and the pile–soil is tangent, so that there is no slipping against each other. In addition, the 3D finite element analysis with volume pile modeling increases soil stiffness at greater depths and the friction factor (interface) can improve the interaction between the soil and pile.</p> </abstract>ARTICLEtrue