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  • Hindawi Limited  (11)
  • Mathematik  (11)
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  • Hindawi Limited  (11)
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  • Mathematik  (11)
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  • 1
    Online-Ressource
    Online-Ressource
    College Students’ Ideological and Political In-Depth Teaching Community Based on Core Literacy Model
    Hindawi Limited ; 2022
    In:  Scientific Programming Vol. 2022 ( 2022-10-3), p. 1-9
    Details
    In: Scientific Programming, Hindawi Limited, Vol. 2022 ( 2022-10-3), p. 1-9
    Kurzfassung: With the development of the times, building a learning community in ideological and political teaching has become an urgent need for teaching reform. In ideological and political teaching, the common vision of teachers and students is to carry out cooperative exploration and ultimately realize the progress and growth of common teachers and students, and implement the core of political science. Learning community in ideological and political teaching has the characteristics of group symbiosis, common value, cooperation and sharing, and democratic openness. Therefore, building a learning community in ideological and political teaching is conducive to the formation of a new teaching model of cooperative inquiry and the establishment of equality and democracy. The new teacher-student relationship can cultivate students’ higher-order thinking and promote more meaningful learning. It has been proved by practice that it is valuable to construct a learning community in the ideological and political teaching of universities. Teachers and students should change the traditional teaching concept. University political teachers should carefully prepare lessons, set up teaching design, be considerate to students, be close to reality, be close to knowledge itself, enhance the communication and interaction between teachers and students, and students and students, and actively build a learning community in the process of ideological and political teaching. To enable students to get new knowledge, solve challenging problems, and finally achieve progress and growth.
    Materialart: Online-Ressource
    ISSN: 1875-919X , 1058-9244
    URL: Article
    DOI: 10.1155/2022/5481853
    RVK:
    SA 7860
    Sprache: Englisch
    Verlag: Hindawi Limited
    Publikationsdatum: 2022
    ZDB Id: 2070004-0
    Standort Signatur Einschränkungen Verfügbarkeit
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    Online-Ressource
  • 2
    Online-Ressource
    Online-Ressource
    Optimized CSMRI Algorithm-Based MRI Image Analysis in the Active Rehabilitation Method for Patients with Acute Cerebral Infarction
    Hindawi Limited ; 2021
    In:  Scientific Programming Vol. 2021 ( 2021-7-28), p. 1-8
    Details
    In: Scientific Programming, Hindawi Limited, Vol. 2021 ( 2021-7-28), p. 1-8
    Kurzfassung: This paper combines optimized CSMRI algorithm (CS) and magnetic resonance imaging (MRI) to shorten the scanning time of MRI image data and improve the imaging quality. At the same time, the paper applies functional magnetic resonance imaging (BOLD-fMRI) based on the principle of blood oxygen level dependence to explore the application value of the nerve function reconstruction therapy system for the rehabilitation of active and passive motor functions in patients with acute cerebral infarction. Methods. In this paper, 20 patients with acute cerebral infarction were included. The random drawing method was used to divide them into active group and passive group, each with 10 cases. Both groups were treated with conventional medication and acupuncture. The active group used the active mode of the nerve function reconstruction treatment system to guide the patients’ limb active exercise; all training in the passive group is provided by the nerve function reconstruction treatment system to passively exercise the patients’ limbs; both groups undergo BOLD-fMRI examination before treatment and after 2 weeks of treatment and observe the activated parts of the brain functional area and corresponding parts of the two groups before and after treatment. We observe the activation volume and, at the same time, the ADL score. Results. After treatment, the activation volume and ADL scores of brain functional areas in the two groups were significantly improved compared with those before treatment, and the difference was statistically significant ( P 〈 0.05 ). Conclusion. The combination of optimized CSMRI algorithm (CS) and magnetic resonance imaging (MRI) can be used to evaluate the early rehabilitation efficacy of patients with acute cerebral infarction and has certain guiding value for clinical treatment.
    Materialart: Online-Ressource
    ISSN: 1875-919X , 1058-9244
    URL: Article
    DOI: 10.1155/2021/8494784
    RVK:
    SA 7860
    Sprache: Englisch
    Verlag: Hindawi Limited
    Publikationsdatum: 2021
    ZDB Id: 2070004-0
    Standort Signatur Einschränkungen Verfügbarkeit
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    Online-Ressource
  • 3
    Online-Ressource
    Online-Ressource
    Prediction Model for Geologically Complicated Fault Structure Based on Artificial Neural Network and Fuzzy Logic
    Hindawi Limited ; 2022
    In:  Scientific Programming Vol. 2022 ( 2022-3-10), p. 1-12
    Details
    In: Scientific Programming, Hindawi Limited, Vol. 2022 ( 2022-3-10), p. 1-12
    Kurzfassung: The development and distribution of geologically complicated fault structure have the characteristics of uncertainty, randomness, ambiguity, and variability. Therefore, the prediction of complicated fault structures is a typical nonlinear problem. Neither fuzzy logic method nor artificial neural network alone can solve this problem well because the fuzzy method is generally not easy to realize adaptive learning function, and the neural network method is not suitable for describing sedimentary microfacies or geophysical facies. Therefore, taking the marginal subsags in the Jiyang Depression, Eastern China, as a study case, this paper uses the method of combining artificial neural network and fuzzy logic to study geologically complicated fault structure prediction model. This paper expounds on the research status and significance of geologically complicated fault structure prediction model, elaborates the development background, current status, and future challenges of artificial neural networks and fuzzy logic, introduces the method and principle of fuzzy neural network structure and fuzzy logic analysis algorithm, conducts prediction model design and implementation based on fuzzy neural network, proposes the learning algorithm of fuzzy neural network, analyzes the programming realization of fuzzy neural network, constructs complicated fault structure prediction model based on the artificial neural network and fuzzy logic, performs the fuzzy logic system selection of complicated fault structure prediction model, carries out the artificial neural network structure design of complicated fault structure prediction model, compares the prediction effects of the geologically complicated fault structure model based on artificial neural networks and fuzzy logic, and finally discusses the system design and optimization of the prediction model for geologically complicated fault structures. The study results show that the fuzzy neural network fully integrates the advantages of artificial neural network and fuzzy logic system; based on the clear physical background of fuzzy logic system, it effectively integrates powerful knowledge expression ability and fuzzy reasoning ability into the network knowledge structure of neural network, which greatly improves the prediction accuracy of geologically complicated fault structure.
    Materialart: Online-Ressource
    ISSN: 1875-919X , 1058-9244
    URL: Article
    DOI: 10.1155/2022/2630953
    RVK:
    SA 7860
    Sprache: Englisch
    Verlag: Hindawi Limited
    Publikationsdatum: 2022
    ZDB Id: 2070004-0
    Standort Signatur Einschränkungen Verfügbarkeit
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    Online-Ressource
  • 4
    Online-Ressource
    Online-Ressource
    Semantic Graph Neural Network: A Conversion from Spam Email Classification to Graph Classification
    Hindawi Limited ; 2022
    In:  Scientific Programming Vol. 2022 ( 2022-1-7), p. 1-8
    Details
    In: Scientific Programming, Hindawi Limited, Vol. 2022 ( 2022-1-7), p. 1-8
    Kurzfassung: In this study, we propose a method named Semantic Graph Neural Network (SGNN) to address the challenging task of email classification. This method converts the email classification problem into a graph classification problem by projecting email into a graph and applying the SGNN model for classification. The email features are generated from the semantic graph; hence, there is no need of embedding the words into a numerical vector representation. The method performance is tested on the different public datasets. Experiments in the public dataset show that the presented method achieves high accuracy in the email classification test against a few public datasets. The performance is better than the state-of-the-art deep learning-based method in terms of spam classification.
    Materialart: Online-Ressource
    ISSN: 1875-919X , 1058-9244
    URL: Article
    DOI: 10.1155/2022/6737080
    RVK:
    SA 7860
    Sprache: Englisch
    Verlag: Hindawi Limited
    Publikationsdatum: 2022
    ZDB Id: 2070004-0
    Standort Signatur Einschränkungen Verfügbarkeit
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    Online-Ressource
  • 5
    Online-Ressource
    Online-Ressource
    The Comfort Analysis Model Design of the Ground Light Environment of a Dome Reflective Badminton Court in a University
    Hindawi Limited ; 2022
    In:  Scientific Programming Vol. 2022 ( 2022-8-25), p. 1-7
    Details
    In: Scientific Programming, Hindawi Limited, Vol. 2022 ( 2022-8-25), p. 1-7
    Kurzfassung: School sports is an important part of sports. The participants are mainly school students. Students play an important role in the development of the country. The development of campus sports is particularly important for the future development of the country. With the continuous improvement of the level of sports technology, to achieve higher, faster, and stronger sports goals, the requirements for sports venues continue to increase. To study whether the environment of the school’s badminton court meets the requirements of the school’s teachers and students to exercise and whether it can achieve the purpose of improving their own sports skills, the above problems are studied. Through the analysis of the light environment in the school grounds, to judge some problems existing in the badminton field of the school, improvement measures are put forward through research, and feasibility analysis of the improvement measures is carried out.
    Materialart: Online-Ressource
    ISSN: 1875-919X , 1058-9244
    URL: Article
    DOI: 10.1155/2022/2334108
    RVK:
    SA 7860
    Sprache: Englisch
    Verlag: Hindawi Limited
    Publikationsdatum: 2022
    ZDB Id: 2070004-0
    Standort Signatur Einschränkungen Verfügbarkeit
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    Online-Ressource
  • 6
    Online-Ressource
    Online-Ressource
    Local Gaussian Distribution Fitting Boundary Image Segmentation Algorithm for Ultrasound Images in Avoiding Recurrent Laryngeal Nerve Injury during Thyroid Nodules Treatment
    Hindawi Limited ; 2021
    In:  Scientific Programming Vol. 2021 ( 2021-8-31), p. 1-7
    Details
    In: Scientific Programming, Hindawi Limited, Vol. 2021 ( 2021-8-31), p. 1-7
    Kurzfassung: This work aimed to analyze the effect of the boundary segmentation algorithm in thyroid nodules image segmentation and the influence of its adoption in avoiding recurrent laryngeal nerve (RLN) injury during treatment of thyroid nodules. The nodule boundary was extracted aided by the local Gaussian distribution fitting energy (LGDF) segmentation algorithm, which was compared with the normalized cut (Ncut) algorithm and the Canny algorithm. Then, 51 patients treated with microwave ablation for thyroid nodules were taken as a test group, and 51 patients treated with surgical resection were taken as a control group. The incidence of RLN injury and the levels of free triiodothyronine (FT3), free thyroid hormone (FT4), and thyroid-stimulating hormone (TSH) were compared between the two groups before and after treatment. The results showed that the true positive fraction (TPF) of the LGDF segmentation algorithm was 69.45%, the TPF of the Ncut algorithm and the Canny algorithm were 58.65% and 52.37%, respectively. The TPF of LGDF algorithm was higher than that of the Ncut algorithm and Canny algorithm, with notable differences ( P 〈 0.05 ). In the control group, there were 10 cases of temporary and permanent damage to the RLN after operation, and the total incidence was 19.61%. In the test group, there were 3 cases of temporary and permanent damage to the RLN after operation, and the total incidence was 5.88%, which was lower than that of the control group ( P 〈 0.05 ). No evident differences were shown in the levels of FT3, FT4, and TSH between the two groups before treatment ( P 〉 0.05 ). However, after treatment, the TSH level of the test group (4.58 ± 0.79) was higher than that of the control group (3.19 ± 0.17), and the levels of FT3 and FT4 in the test group were lower than those in the control group, and the differences were remarkable ( P 〈 0.05 ). In short, the LGDF algorithm had more ideal segmentation effect. In addition, ultrasound-guided microwave ablation was effective in treating benign thyroid nodules, which could reduce damage to the RLN and maintain normal thyroid function.
    Materialart: Online-Ressource
    ISSN: 1875-919X , 1058-9244
    URL: Article
    DOI: 10.1155/2021/6115040
    RVK:
    SA 7860
    Sprache: Englisch
    Verlag: Hindawi Limited
    Publikationsdatum: 2021
    ZDB Id: 2070004-0
    Standort Signatur Einschränkungen Verfügbarkeit
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    Online-Ressource
  • 7
    Online-Ressource
    Online-Ressource
    Study on Low-Cost, Low-Voltage Multiprogrammable Nonvolatile Memory Cells for UHF Tag Chips
    Hindawi Limited ; 2022
    In:  Scientific Programming Vol. 2022 ( 2022-1-31), p. 1-8
    Details
    In: Scientific Programming, Hindawi Limited, Vol. 2022 ( 2022-1-31), p. 1-8
    Kurzfassung: This paper proposes a low-voltage, low-cost multiple-time-programmable nonvolatile memory (MTP NVM) based on a standard CMOS 0.13 μm process for UHF RFID chip applications. The design of the differential structure cell using the tunneling effect reduces the read and write voltage. The read and write simulation test results show that the read and write operating voltage is 10 V, which is 30% lower than that of conventional EEPROMs. Because the UHF RFID tag chip requires higher voltage reduction, the structured memory cell is well suited for UHF RFID applications.
    Materialart: Online-Ressource
    ISSN: 1875-919X , 1058-9244
    URL: Article
    DOI: 10.1155/2022/7479361
    RVK:
    SA 7860
    Sprache: Englisch
    Verlag: Hindawi Limited
    Publikationsdatum: 2022
    ZDB Id: 2070004-0
    Standort Signatur Einschränkungen Verfügbarkeit
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    Online-Ressource
  • 8
    Online-Ressource
    Online-Ressource
    Martial Arts Training Prediction Model Based on Big Data and MEMS Sensors
    Hindawi Limited ; 2021
    In:  Scientific Programming Vol. 2021 ( 2021-5-26), p. 1-8
    Details
    In: Scientific Programming, Hindawi Limited, Vol. 2021 ( 2021-5-26), p. 1-8
    Kurzfassung: In martial arts teaching and sports training, the accurate capturing and analysis of martial arts athletes’ posture is conducive to accurately judge sports postures, as well as correcting sports movements in a targeted manner, further improving martial arts athletes’ performance and reducing physical damage. The manufacturing level of MEMS sensors continues to improve, and status perception of assembly objects is becoming more and more abundant and accurate. The shape is small and can be worn, and data can be collected continuously without obstacles. The price is relatively low, the privacy protection is strong, and the advantages are clear and prominent. A considerable number of technicians choose to use MEMS sensors as the main tool for human behavior detection data collection. Therefore, this article designs multiple MEMS inertial sensors to form a human body lower limb capture device, and its core components are composed of accelerometer, gyroscope, and magnetometer. In order to make the obtained acceleration value, angular velocity value, and magnetometer value accurately reflect the movement state of the lower limb structure, different data fusion algorithms and magnetometer ellipsoid fitting calibration algorithms are studied to realize the calculation of the posture angle of each joint point and obtain martial arts posture big data. In addition, through big data analysis, this article designs a martial arts training performance and injury risk prediction model, which can provide guidance and suggestions for martial arts teaching tasks.
    Materialart: Online-Ressource
    ISSN: 1875-919X , 1058-9244
    URL: Article
    DOI: 10.1155/2021/9993916
    RVK:
    SA 7860
    Sprache: Englisch
    Verlag: Hindawi Limited
    Publikationsdatum: 2021
    ZDB Id: 2070004-0
    Standort Signatur Einschränkungen Verfügbarkeit
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    Online-Ressource
  • 9
    Online-Ressource
    Online-Ressource
    Research on Taekwondo Teaching Reform in Colleges and Universities Based on Nonlinear Data Prediction Analysis
    Hindawi Limited ; 2022
    In:  Scientific Programming Vol. 2022 ( 2022-7-30), p. 1-7
    Details
    In: Scientific Programming, Hindawi Limited, Vol. 2022 ( 2022-7-30), p. 1-7
    Kurzfassung: With the all-round development of quality education in China, the development of new courses has been continuously added. The problems of Taekwondo education in colleges and universities in China have gradually emerged, which has hindered the development of Taekwondo. Taekwondo is a very important part of physical education in colleges and universities. It plays an important role in the teaching reform in colleges and universities. The fact of Taekwondo Teaching can meet the demands of students’ diversified sports. However, at present, there are some problems in the course of Taekwondo in colleges and universities, such as insufficient attention, lack of professional teachers, lack of professional venues, one-sided teaching ideas, unreasonable evaluation system, and so on. It is necessary to further implement the concept of education, optimize the teaching environment, strengthen the construction of teachers, innovate teaching methods, improve the evaluation mechanism, and give better play to the educational function of Taekwondo. The traditional view of physical education teaching is centered on teaching, which leads to students only understanding skills and tactics, and cannot meet the needs of modern society and schools in many aspects and levels. In order to study the teaching reform of higher education, based on the prediction and analysis of nonlinear data, this paper compares the specificity, sensitivity, early warning, and overall effect of teaching reform. It can be seen that the comprehensive effect of Taekwondo Teaching reform is better under the prediction and analysis of nonlinear data, and puts forward corresponding improvement countermeasures, in order to provide some help for the improvement of Taekwondo Teaching levels in colleges and universities, and promote the all-round development of college students.
    Materialart: Online-Ressource
    ISSN: 1875-919X , 1058-9244
    URL: Article
    DOI: 10.1155/2022/1464692
    RVK:
    SA 7860
    Sprache: Englisch
    Verlag: Hindawi Limited
    Publikationsdatum: 2022
    ZDB Id: 2070004-0
    Standort Signatur Einschränkungen Verfügbarkeit
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    Online-Ressource
  • 10
    Online-Ressource
    Online-Ressource
    Computed Tomography Image under Optimized Iterative Reconstruction Algorithm to Analyze the Characteristics of Blood Flow Field in Cerebral Aneurysm before and after Stent Implantation
    Hindawi Limited ; 2021
    In:  Scientific Programming Vol. 2021 ( 2021-12-2), p. 1-10
    Details
    In: Scientific Programming, Hindawi Limited, Vol. 2021 ( 2021-12-2), p. 1-10
    Kurzfassung: In order to analyze the change characteristics of blood flow field in cerebral aneurysms before and after stent implantation, this study first constructed an optimized iterative reconstruction algorithm to reconstruct CT images of patients with cerebral aneurysms and used it to solve the problem of image sharpness. In addition, backprojection image reconstruction algorithm and Fourier transform analytic method were introduced. According to the CT images of cerebral arteries of patients, the lesions were presented in a three-dimensional and visual way through the reconstructed three-dimensional images, thus achieving the effects of simulation and simulation. The results showed that the sensitivity, specificity, and accuracy of the optimized iterative reconstruction algorithm were 90.78%, 83.27%, and 94.82%, which were significantly higher than those of the backprojection image reconstruction algorithm and Fourier transform analysis method, and the difference was statistically significant ( P 〈 0.05 ). Before operation, the blood flow velocity in the neck of aneurysm was 7.35 × 10−2 m/s, the exit velocity was 1.51 × 10−1 m/s, and the maximum velocity appeared in the upstream part of the exit. After passing through the aneurysm, the blood flow velocity began to decrease gradually, forming a vortex at the top of the tumor. After stent implantation, the neck and outlet velocities of cerebral aneurysm were 9.352 × 10−2 m/s and 1.897 × 10−2 m/s, respectively. The velocity of blood flow decreased after entering the aneurysm, and there was no vortex at the top of the aneurysm. Among the outlet velocities of arterial blood vessels, the velocity before stent implantation was significantly lower than that after stent implantation, and the difference was statistically significant ( P 〈 0.05 ). Compared with prestent, the shear force distribution on the wall of cerebral aneurysm showed a significant decrease, and the difference was statistically significant ( P 〈 0.05 ). To sum up, pelvic floor ultrasound based on hybrid iterative reconstruction algorithm has high accuracy in diagnosing the changes of blood flow field in cerebral aneurysms. The application of CT images in the diagnosis of cerebral aneurysms can objectively provide imaging data for clinical practice and has high application value.
    Materialart: Online-Ressource
    ISSN: 1875-919X , 1058-9244
    URL: Article
    DOI: 10.1155/2021/7915729
    RVK:
    SA 7860
    Sprache: Englisch
    Verlag: Hindawi Limited
    Publikationsdatum: 2021
    ZDB Id: 2070004-0
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
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