The purpose of this research is to analyze the causal mechanisms of learning difficulties of middle school students and use them to propose strategies to help them.This research is particularly valuable for its focus ...The purpose of this research is to analyze the causal mechanisms of learning difficulties of middle school students and use them to propose strategies to help them.This research is particularly valuable for its focus on middle school students.Research on this critical transition period is often lacking compared to primary and high school.Therefore,this research establishes a structured equation model and analyzes the data from the survey using the partial least squares method.The data were obtained from a 13,900 Wenzhou City,China students’questionnaire.The research found that learning strategies were the most significant influences on learning effectiveness,followed by learning motivation and learning relationships.Meanwhile,learning relationships had a significant impact on learning pressure.Therefore,this research proposes targeted support strategies.It aims to enhance learning motivation(Set achievable learning goals for each student with learning difficulties based on their actual situation),optimize learning strategies(Encourage students with learning difficulties to learn self-regulatory strategies such as goal setting,time management,and self-reflection),and improve learning relationships(Establish a good social network to promote positive interaction between students with learning difficulties and their peers).At the same time,it reduces students’learning pressure.Ultimately,the learning effectiveness of students with learning difficulties is improved.展开更多
English as an international language,English writing is a very important skill as an important form of language output,which is not only an important means of expressing emotions and awareness,but also reflects the ab...English as an international language,English writing is a very important skill as an important form of language output,which is not only an important means of expressing emotions and awareness,but also reflects the ability to use language in an integrated way.In language teaching,the development of English writing skills is an important and challenging teaching task.English writing language is expressed not only at the basic level of vocabulary,grammar,and sentence structure,but also at the higher-order level of text organization,logical reasoning,and argumentation.However,in traditional English writing teaching,students usually do not have the opportunity to have an in-depth experience of the context of the topic,which leads to a lack of motivation and poor writing results.Therefore,this study developed an SVVR learning system based on spherical video-based virtual reality(SVVR)technology and conducted a quasi-experiment in a university English major classroom.The results of the study showed that the SVVR-supported approach to English writing could improve students'writing performance,enrich writing content,and increase learning motivation.展开更多
We study the dynamic behaviour of two intracellufar calcium oscillators that are coupled through gap junctions both to Ca^2＋ and inositol（1,4,5）-trisphosphate （IP3）. It is found that synchronized anti-phase and i...We study the dynamic behaviour of two intracellufar calcium oscillators that are coupled through gap junctions both to Ca^2＋ and inositol（1,4,5）-trisphosphate （IP3）. It is found that synchronized anti-phase and in-phase oscillations of cytoplasmic cadcium coexist in parameters space. Especially, synchronized anti-phase oscillations only occur near the onset of a Hopf bifurcation point when the velocity of IP3 synthesis is increased. In addition, two kinds of coupling effects, i.e., the diffusions of Ca^2＋ and IP3 among cells on synchronous behaviour, are considered. We fnd that small coupling of Ca^2＋ and large coupling of IP3 facilitate the emergence of synchronized anti-phase oscillations. However, the result is contrary for the synchronized in-phase case. Our findings may provide a qualitative understanding about the mechanism of synchronous behaviour of intercellular calcium signalling.展开更多
The Biological Communication Behavior of the Left and the Right Brains have been constructed through the explanation of the phenomena of their specific part activities encompassing: Prefrontal, Frontal, Parietal, Cent...The Biological Communication Behavior of the Left and the Right Brains have been constructed through the explanation of the phenomena of their specific part activities encompassing: Prefrontal, Frontal, Parietal, Central, Occipital and Parasagital which have been significantly tested in terms of their impacts in learning acceleration starting from Elementary School to University levels. This study is conducted by means of constructive approach and it employs both the quantitative and qualitative techniques. The result of the study shows that the biological communication of the left and the right brains are reliably tested scientifically from the viewpoint of science. The Problem Based Learning start from elementary school to university level of both social and science groups.展开更多
Internet addiction and cyberbullying have emerged as significant global mental health concerns in recent years.Although previous studies have shown a close association between Internet addiction and cyberbullying,the u...Internet addiction and cyberbullying have emerged as significant global mental health concerns in recent years.Although previous studies have shown a close association between Internet addiction and cyberbullying,the underlying mechanisms connecting these two phenomena remain unclear.Therefore,this study aimed to reveal the mechanisms involved between Internet addiction and cyberbullying perpetration from the perspective of cognition function.This study recruited 976 Chinese youth through online survey,using the short version of Internet Addiction Test(s-IAT),Chinese Cyberbullying Intervention Project Questionnaire(C-CIPQ),Cyberbullying Moral Disengagement Scale(CMDS),and Internet Literacy Questionnaire(ILQ)to investigate the relationship between Internet addiction,moral disengagement,Internet literacy and cyberbullying perpetration.The keyfindings of this study were as follows:after controlling gender and age,(1)Internet addiction had a significant positive predictive effect on cyberbullying perpetration;(2)moral disengagement acted as a mediator between Internet addiction and cyberbullying perpetration;and(3)Internet literacy played a moderating role between moral disengagement and cyberbullying perpetration.In conclusion,there was a moderated mediating effect between Internet addiction and cyberbullying perpetration,contributing to a better understanding of the relationship between these two phenomena.展开更多
The correlation of the inhomogeneous broadening of the resonance transition at different time intervals and the efficiency of long-lived photon echo response locking by the action of standing waves of non-resonant las...The correlation of the inhomogeneous broadening of the resonance transition at different time intervals and the efficiency of long-lived photon echo response locking by the action of standing waves of non-resonant laser pulses are considered. It is shown that the long-lived photon echo response locking effect may be observed even at the angles of the relative orientation of the non-resonant standing wave laser pulses of less than one degree, due to the change in the correlation coefficient of inhomogeneous broadening at time intervals between the first and the second and after the third resonant laser pulses.展开更多
The case study presented here uses an interpretivist (qualitative, humanistic) approach to illustrate and describe a range of interactions and behaviors that occur during design meetings where mentoring and design sim...The case study presented here uses an interpretivist (qualitative, humanistic) approach to illustrate and describe a range of interactions and behaviors that occur during design meetings where mentoring and design simultaneously occur within a software engineering firm, during a portion of the design phase for a software project. It attempts to examine the interaction between two design team members (one novice and one expert) and describes how these observations intersect with the theoretical and applied literature and actual design processes. Taking cues from two theoretical descriptions of the design process, the study presented here suggests that modes and models of mentorship should be added, when applicable, as a descriptive portion of the design process.展开更多
Background Spatial ability is an unique type of intelligence;it can be distinguished from other forms of intelligence and plays an essential role in an individual's success in many academic fields,particular in th...Background Spatial ability is an unique type of intelligence;it can be distinguished from other forms of intelligence and plays an essential role in an individual's success in many academic fields,particular in this era of technology.Instruction-assisted 3D technology can display stereo graphics and promote students'understanding of the geometrical structure and characteristics of graphics.Spatial ability includes several aspects.Few software programs are available for training different aspects of spatial ability for senior high school students.This study aims to explore an effective method for training the spatial ability for senior high school students,and to promote the development of students'independent inquiry ability.Methods First,an inquiry design strategy to improve the spatial ability of students is proposed.Based on this strategy,unity3D was used to develop a 3D inquiry environment that can use leap motion to complete a gesture interaction.Finally,researchers carried out experience-based activities and issued user experience questionnaires to participants to verify the application effect of the spatial ability inquiry environment and used interviews to understand the user experience of participants exploring the leap motion device in a 3D inquiry environment.Results 32 learners participated in the experiment.learners have a high score for perceived usefulness and willingness to use.Compared with the perceived ease of use and perceived usefulness,the average score of the application effect is relatively low.In terms of willingness to use,most of the learners expressed their willingness to use a similar inquiry environment for spatial ability training in the future.Conclusions The spatial ability inquiry environment can help learners better understand different concepts.The users showed a strong willingness to continue using the device.The device also updates the teaching concept to a certain extent and emphasizes the dominant position of a student.展开更多
An acoustic dipole radiation model for magnetoacoustic tomography with magnetic induction （MAT-MI） is pro- posed, based on the analyses of one-dimensional tissue vibration, three-dimensional acoustic dipole radiatio...An acoustic dipole radiation model for magnetoacoustic tomography with magnetic induction （MAT-MI） is pro- posed, based on the analyses of one-dimensional tissue vibration, three-dimensional acoustic dipole radiation and acoustic waveform detection with a planar piston transducer. The collected waveforms provide information about the conductiv- ity boundaries in various vibration intensities and phases due to the acoustic dipole radiation pattern. Combined with the simplified back projection algorithm, the conductivity configuration of the measured layer in terms of shape and size can be reconstructed with obvious border stripes. The numerical simulation is performed for a two-layer cylindrical phantom model and it is also verified by the experimental results of MAT-MI for a tissue-like sample phantom. The proposed model suggests a potential application of conductivity differentiation and provides a universal basis for the further study of conductivity reconstruction for MAT-MI.展开更多
The effect of diversity on dynamics of coupled FitzHugh-Nagumo neurons on complex networks is numerically investigated, where each neuron is subjected to an external subthreshold signal. With the diversity the network...The effect of diversity on dynamics of coupled FitzHugh-Nagumo neurons on complex networks is numerically investigated, where each neuron is subjected to an external subthreshold signal. With the diversity the network is a mixture of excitable and oscillatory neurons, and the diversity is determined by the variance of the system＇s parameter. The complex network is constructed by randomly adding long-range connections （shortcuts） on a nearest-neighbouring coupled one-dimensional chain. Numerical results show that external signals are maximally magnified at an intermediate value of the diversity, as in the case of well-known stochastic resonance, burthermore, the effects of the number of shortcuts and coupled strength on the diversity-induced phenomena are also discussed. These findings exhibit that the diversity may play a constructive role in response to external signal, and highlight the importance of the diversity on such complex networks.展开更多
Intrusion detection systems(IDS)are essential in the field of cybersecurity because they protect networks from a wide range of online threats.The goal of this research is to meet the urgent need for small-footprint,hi...Intrusion detection systems(IDS)are essential in the field of cybersecurity because they protect networks from a wide range of online threats.The goal of this research is to meet the urgent need for small-footprint,highly-adaptable Network Intrusion Detection Systems(NIDS)that can identify anomalies.The NSL-KDD dataset is used in the study;it is a sizable collection comprising 43 variables with the label’s“attack”and“level.”It proposes a novel approach to intrusion detection based on the combination of channel attention and convolutional neural networks(CNN).Furthermore,this dataset makes it easier to conduct a thorough assessment of the suggested intrusion detection strategy.Furthermore,maintaining operating efficiency while improving detection accuracy is the primary goal of this work.Moreover,typical NIDS examines both risky and typical behavior using a variety of techniques.On the NSL-KDD dataset,our CNN-based approach achieves an astounding 99.728%accuracy rate when paired with channel attention.Compared to previous approaches such as ensemble learning,CNN,RBM(Boltzmann machine),ANN,hybrid auto-encoders with CNN,MCNN,and ANN,and adaptive algorithms,our solution significantly improves intrusion detection performance.Moreover,the results highlight the effectiveness of our suggested method in improving intrusion detection precision,signifying a noteworthy advancement in this field.Subsequent efforts will focus on strengthening and expanding our approach in order to counteract growing cyberthreats and adjust to changing network circumstances.展开更多
Various feature selection algorithms are usually employed to improve classification models’overall performance.Optimization algorithms typically accompany such algorithms to select the optimal set of features.Among t...Various feature selection algorithms are usually employed to improve classification models’overall performance.Optimization algorithms typically accompany such algorithms to select the optimal set of features.Among the most currently attractive trends within optimization algorithms are hybrid metaheuristics.The present paper presents two Stages of Local Search models for feature selection based on WOA(Whale Optimization Algorithm)and Great Deluge(GD).GD Algorithm is integrated with the WOA algorithm to improve exploitation by identifying the most promising regions during the search.Another version is employed using the best solution found by the WOA algorithm and exploited by the GD algorithm.In addition,disruptive selection(DS)is employed to select the solutions from the population for local search.DS is chosen to maintain the diversity of the population via enhancing low and high-quality solutions.Fifteen(15)standard benchmark datasets provided by the University of California Irvine(UCI)repository were used in evaluating the proposed approaches’performance.Next,a comparison was made with four population-based algorithms as wrapper feature selection methods from the literature.The proposed techniques have proved their efficiency in enhancing classification accuracy compared to other wrapper methods.Hence,the WOA can search effectively in the feature space and choose the most relevant attributes for classification tasks.展开更多
Magnetoacoustic tomography with magnetic induction has shown potential applications in imaging the electrical impedance for biological tissues. We present a novel methodology for the inverse problem solution of the 2-...Magnetoacoustic tomography with magnetic induction has shown potential applications in imaging the electrical impedance for biological tissues. We present a novel methodology for the inverse problem solution of the 2-D Lorentz force distribution reconstruction based on the acoustic straight line propagation theory. The magnetic induction and acoustic generation as well as acoustic detection are theoretically provided as explicit formulae and also validated by the numerical simulations for a multilayered cylindrical phantom model. The reconstructed 2-D Lorentz force distribution reveals not only the conductivity configuration in terms of shape and size but also the amplitude value of the Lorentz force in the examined layer. This study provides a basis for further study of conductivity distribution reconstruction of MAT-MI in medical imaging.展开更多
Monte Carlo simulations were used to investigate the compatibilizing behaviors of multi-block copolymers with different architectures in A/B/（block copolymer） ternary blends. The volume fraction of homopolymer A, em...Monte Carlo simulations were used to investigate the compatibilizing behaviors of multi-block copolymers with different architectures in A/B/（block copolymer） ternary blends. The volume fraction of homopolymer A, employed as the dispersed phase, was 19%. The simulations illustrate how a di- or multi-block copolymer aggregates at the interfaces and influences the phase behaviour of such incompatible polymer blends. The di-block copolymer chains tend to ＂stand＂ on the interface whereas the multi-block chains lie on the interface. In comparison with the di-block copolymer, the block copolymers with 4, or 10 blocks can occupy more areas on the interface, and thus the multi-block copolymers have higher efficiency for the retardation of the phase separation.展开更多
This study describes improving network security by implementing and assessing an intrusion detection system(IDS)based on deep neural networks(DNNs).The paper investigates contemporary technical ways for enhancing intr...This study describes improving network security by implementing and assessing an intrusion detection system(IDS)based on deep neural networks(DNNs).The paper investigates contemporary technical ways for enhancing intrusion detection performance,given the vital relevance of safeguarding computer networks against harmful activity.The DNN-based IDS is trained and validated by the model using the NSL-KDD dataset,a popular benchmark for IDS research.The model performs well in both the training and validation stages,with 91.30%training accuracy and 94.38%validation accuracy.Thus,the model shows good learning and generalization capabilities with minor losses of 0.22 in training and 0.1553 in validation.Furthermore,for both macro and micro averages across class 0(normal)and class 1(anomalous)data,the study evaluates the model using a variety of assessment measures,such as accuracy scores,precision,recall,and F1 scores.The macro-average recall is 0.9422,the macro-average precision is 0.9482,and the accuracy scores are 0.942.Furthermore,macro-averaged F1 scores of 0.9245 for class 1 and 0.9434 for class 0 demonstrate the model’s ability to precisely identify anomalies precisely.The research also highlights how real-time threat monitoring and enhanced resistance against new online attacks may be achieved byDNN-based intrusion detection systems,which can significantly improve network security.The study underscores the critical function ofDNN-based IDS in contemporary cybersecurity procedures by setting the foundation for further developments in this field.Upcoming research aims to enhance intrusion detection systems by examining cooperative learning techniques and integrating up-to-date threat knowledge.展开更多
The widespread adoption of Internet of Things(IoT)devices has resulted in notable progress in different fields,improving operational effectiveness while also raising concerns about privacy due to their vulnerability t...The widespread adoption of Internet of Things(IoT)devices has resulted in notable progress in different fields,improving operational effectiveness while also raising concerns about privacy due to their vulnerability to virus attacks.Further,the study suggests using an advanced approach that utilizes machine learning,specifically the Wide Residual Network(WRN),to identify hidden malware in IoT systems.The research intends to improve privacy protection by accurately identifying malicious software that undermines the security of IoT devices,using the MalMemAnalysis dataset.Moreover,thorough experimentation provides evidence for the effectiveness of the WRN-based strategy,resulting in exceptional performance measures such as accuracy,precision,F1-score,and recall.The study of the test data demonstrates highly impressive results,with a multiclass accuracy surpassing 99.97%and a binary class accuracy beyond 99.98%.The results emphasize the strength and dependability of using advanced deep learning methods such as WRN for identifying hidden malware risks in IoT environments.Furthermore,a comparison examination with the current body of literature emphasizes the originality and efficacy of the suggested methodology.This research builds upon previous studies that have investigated several machine learning methods for detecting malware on IoT devices.However,it distinguishes itself by showcasing exceptional performance metrics and validating its findings through thorough experimentation with real-world datasets.Utilizing WRN offers benefits in managing the intricacies of malware detection,emphasizing its capacity to enhance the security of IoT ecosystems.To summarize,this work proposes an effective way to address privacy concerns on IoT devices by utilizing advanced machine learning methods.The research provides useful insights into the changing landscape of IoT cybersecurity by emphasizing methodological rigor and conducting comparative performance analysis.Future research could focus on enhancing the recommended approach by adding more datasets and leveraging real-time monitoring capabilities to strengthen IoT devices’defenses against new cybersecurity threats.展开更多
The 5G communication technology serving a wide range of vertical industries is maturing,which provides a possible boost for the development of smart education and lays a foundation for solving the principal contradict...The 5G communication technology serving a wide range of vertical industries is maturing,which provides a possible boost for the development of smart education and lays a foundation for solving the principal contradiction in current education.With the characteristics of ultra-high speed,low latency,low energy consumption,massive network capacity,and high reliability,the 5G technology is applied with other technologies like artificial intelligence(AI),internet of things(IoT),big data,and blockchain to promote the application upgrading of intelligent education technology.This paper analyzes the intelligent education technology and its eight typical applications in the 5G era,which include smart safe campus,integrated learning spaces,synchronous cyber classrooms,teachers’professional development,robot learning partners,mobile and ubiquitous learning,virtual simulation training,and smart e-textbooks.Then,it discusses how intelligent education technology promotes changes in the modes of learning and teaching in the 5G era from three dimensions:individual learning,collaborative group learning,and classroom-based collective teaching.At last,the framework of smart education in the 5G era is proposed from the perspectives of intelligent education technology and its typical applications,changes in learning and teaching,and the new ecosystem of smart education.展开更多
The recording and playback of information using a reverse stimulated photon—echo hologram when exposed to the recording medium pulse of non-resonant electromagnetic standing wave was considered. It was shown that the...The recording and playback of information using a reverse stimulated photon—echo hologram when exposed to the recording medium pulse of non-resonant electromagnetic standing wave was considered. It was shown that the spatial intensity distribution in stimulated echo hologram response depended on the electric field intensity of non-resonant standing wave that allowed controlling by a reproducible image.展开更多
This paper pinpoints the deficiencies in aesthetic education within Beijing’s primary schools and delineates the strategy of the UPPE Project-short for“Universities’Participation in Primary Education”-for capitali...This paper pinpoints the deficiencies in aesthetic education within Beijing’s primary schools and delineates the strategy of the UPPE Project-short for“Universities’Participation in Primary Education”-for capitalizing on university resources to bolster this pivotal educational component.The project adopts a multi-pronged approach,including conducting needs assessments,integrating international expertise,and conducting systematic research to address pivotal issues.It introduces initiatives such as strategic planning,tiered educational goals,a closed-loop curriculum development,comprehensive course implementation,and the enhancement of cultural infrastructure in both software and hardware,along with the cultivation of diverse community groups.The project also prioritizes teacher professional development and collaborative pedagogical research,establishing a robust framework for cooperative and mutually beneficial outcomes.The conclusion highlights the project’s role in fostering sustainable development in aesthetic education,which is essential for the comprehensive enhancement of students’qualities.展开更多
Adolescent alienation is a symptom of problems in relations among the individual,school,community,and family.Based on a research conducted with a sample of 897 Tibetan adolescent students in Grades 7 to 12,this study ...Adolescent alienation is a symptom of problems in relations among the individual,school,community,and family.Based on a research conducted with a sample of 897 Tibetan adolescent students in Grades 7 to 12,this study reveals that over one third of subjects experience high levels of alienation.Questionnaire data and field work show possible sources of this alienation in contemporary rural Tibetan society in China,factors that may reduce alienation,and explanations for low levels of alienation among some students.The paper concludes with an argument for researchers and policy makers to pay greater attention to the issue of alienation among minority boarding school students.展开更多
基金2025 Wenzhou Key Research Base of Philosophy and Social Science(Wenzhou University Learning Science and Technology Research Centre)Research Project:Investigation and Strategy Research on the Causes of Middle School Students’Learning Difficulties in the Context of the Leading Country in Education.
文摘The purpose of this research is to analyze the causal mechanisms of learning difficulties of middle school students and use them to propose strategies to help them.This research is particularly valuable for its focus on middle school students.Research on this critical transition period is often lacking compared to primary and high school.Therefore,this research establishes a structured equation model and analyzes the data from the survey using the partial least squares method.The data were obtained from a 13,900 Wenzhou City,China students’questionnaire.The research found that learning strategies were the most significant influences on learning effectiveness,followed by learning motivation and learning relationships.Meanwhile,learning relationships had a significant impact on learning pressure.Therefore,this research proposes targeted support strategies.It aims to enhance learning motivation(Set achievable learning goals for each student with learning difficulties based on their actual situation),optimize learning strategies(Encourage students with learning difficulties to learn self-regulatory strategies such as goal setting,time management,and self-reflection),and improve learning relationships(Establish a good social network to promote positive interaction between students with learning difficulties and their peers).At the same time,it reduces students’learning pressure.Ultimately,the learning effectiveness of students with learning difficulties is improved.
文摘English as an international language,English writing is a very important skill as an important form of language output,which is not only an important means of expressing emotions and awareness,but also reflects the ability to use language in an integrated way.In language teaching,the development of English writing skills is an important and challenging teaching task.English writing language is expressed not only at the basic level of vocabulary,grammar,and sentence structure,but also at the higher-order level of text organization,logical reasoning,and argumentation.However,in traditional English writing teaching,students usually do not have the opportunity to have an in-depth experience of the context of the topic,which leads to a lack of motivation and poor writing results.Therefore,this study developed an SVVR learning system based on spherical video-based virtual reality(SVVR)technology and conducted a quasi-experiment in a university English major classroom.The results of the study showed that the SVVR-supported approach to English writing could improve students'writing performance,enrich writing content,and increase learning motivation.
文摘We study the dynamic behaviour of two intracellufar calcium oscillators that are coupled through gap junctions both to Ca^2＋ and inositol（1,4,5）-trisphosphate （IP3）. It is found that synchronized anti-phase and in-phase oscillations of cytoplasmic cadcium coexist in parameters space. Especially, synchronized anti-phase oscillations only occur near the onset of a Hopf bifurcation point when the velocity of IP3 synthesis is increased. In addition, two kinds of coupling effects, i.e., the diffusions of Ca^2＋ and IP3 among cells on synchronous behaviour, are considered. We fnd that small coupling of Ca^2＋ and large coupling of IP3 facilitate the emergence of synchronized anti-phase oscillations. However, the result is contrary for the synchronized in-phase case. Our findings may provide a qualitative understanding about the mechanism of synchronous behaviour of intercellular calcium signalling.
文摘The Biological Communication Behavior of the Left and the Right Brains have been constructed through the explanation of the phenomena of their specific part activities encompassing: Prefrontal, Frontal, Parietal, Central, Occipital and Parasagital which have been significantly tested in terms of their impacts in learning acceleration starting from Elementary School to University levels. This study is conducted by means of constructive approach and it employs both the quantitative and qualitative techniques. The result of the study shows that the biological communication of the left and the right brains are reliably tested scientifically from the viewpoint of science. The Problem Based Learning start from elementary school to university level of both social and science groups.
基金supported by the Social Sciences Research Funding of Jiangsu Province(Grant No.19JYC002)Humanities and Social Sciences Research Funding of Minister of Education in China(Grant No.20YJC880104)+1 种基金Postdoctoral Research Funding of Jiangsu Province(Grant No.2021K460C)Shenzhen Education Science Planning Project(Grant No.zdzz22008).
文摘Internet addiction and cyberbullying have emerged as significant global mental health concerns in recent years.Although previous studies have shown a close association between Internet addiction and cyberbullying,the underlying mechanisms connecting these two phenomena remain unclear.Therefore,this study aimed to reveal the mechanisms involved between Internet addiction and cyberbullying perpetration from the perspective of cognition function.This study recruited 976 Chinese youth through online survey,using the short version of Internet Addiction Test(s-IAT),Chinese Cyberbullying Intervention Project Questionnaire(C-CIPQ),Cyberbullying Moral Disengagement Scale(CMDS),and Internet Literacy Questionnaire(ILQ)to investigate the relationship between Internet addiction,moral disengagement,Internet literacy and cyberbullying perpetration.The keyfindings of this study were as follows:after controlling gender and age,(1)Internet addiction had a significant positive predictive effect on cyberbullying perpetration;(2)moral disengagement acted as a mediator between Internet addiction and cyberbullying perpetration;and(3)Internet literacy played a moderating role between moral disengagement and cyberbullying perpetration.In conclusion,there was a moderated mediating effect between Internet addiction and cyberbullying perpetration,contributing to a better understanding of the relationship between these two phenomena.
文摘The correlation of the inhomogeneous broadening of the resonance transition at different time intervals and the efficiency of long-lived photon echo response locking by the action of standing waves of non-resonant laser pulses are considered. It is shown that the long-lived photon echo response locking effect may be observed even at the angles of the relative orientation of the non-resonant standing wave laser pulses of less than one degree, due to the change in the correlation coefficient of inhomogeneous broadening at time intervals between the first and the second and after the third resonant laser pulses.
文摘The case study presented here uses an interpretivist (qualitative, humanistic) approach to illustrate and describe a range of interactions and behaviors that occur during design meetings where mentoring and design simultaneously occur within a software engineering firm, during a portion of the design phase for a software project. It attempts to examine the interaction between two design team members (one novice and one expert) and describes how these observations intersect with the theoretical and applied literature and actual design processes. Taking cues from two theoretical descriptions of the design process, the study presented here suggests that modes and models of mentorship should be added, when applicable, as a descriptive portion of the design process.
基金the National Key Research and Development Program of China(2018YFB1004903)the Key Discipline Cultivation Program of Zhejiang Province(18JYXK018).
文摘Background Spatial ability is an unique type of intelligence;it can be distinguished from other forms of intelligence and plays an essential role in an individual's success in many academic fields,particular in this era of technology.Instruction-assisted 3D technology can display stereo graphics and promote students'understanding of the geometrical structure and characteristics of graphics.Spatial ability includes several aspects.Few software programs are available for training different aspects of spatial ability for senior high school students.This study aims to explore an effective method for training the spatial ability for senior high school students,and to promote the development of students'independent inquiry ability.Methods First,an inquiry design strategy to improve the spatial ability of students is proposed.Based on this strategy,unity3D was used to develop a 3D inquiry environment that can use leap motion to complete a gesture interaction.Finally,researchers carried out experience-based activities and issued user experience questionnaires to participants to verify the application effect of the spatial ability inquiry environment and used interviews to understand the user experience of participants exploring the leap motion device in a 3D inquiry environment.Results 32 learners participated in the experiment.learners have a high score for perceived usefulness and willingness to use.Compared with the perceived ease of use and perceived usefulness,the average score of the application effect is relatively low.In terms of willingness to use,most of the learners expressed their willingness to use a similar inquiry environment for spatial ability training in the future.Conclusions The spatial ability inquiry environment can help learners better understand different concepts.The users showed a strong willingness to continue using the device.The device also updates the teaching concept to a certain extent and emphasizes the dominant position of a student.
基金Project supported by the National Basic Research Program of China （Grant No. 2011CB707900）, the National Natural Science Foundation of China （Grant No. 10974098）, the Natural Science Foundation of Jiangsu Province, China （Grant No. BK2009407）, and the Specialized Research Fund for Doctoral Program of High Education of China （Grant No. 20093207120003）.
文摘An acoustic dipole radiation model for magnetoacoustic tomography with magnetic induction （MAT-MI） is pro- posed, based on the analyses of one-dimensional tissue vibration, three-dimensional acoustic dipole radiation and acoustic waveform detection with a planar piston transducer. The collected waveforms provide information about the conductiv- ity boundaries in various vibration intensities and phases due to the acoustic dipole radiation pattern. Combined with the simplified back projection algorithm, the conductivity configuration of the measured layer in terms of shape and size can be reconstructed with obvious border stripes. The numerical simulation is performed for a two-layer cylindrical phantom model and it is also verified by the experimental results of MAT-MI for a tissue-like sample phantom. The proposed model suggests a potential application of conductivity differentiation and provides a universal basis for the further study of conductivity reconstruction for MAT-MI.
文摘The effect of diversity on dynamics of coupled FitzHugh-Nagumo neurons on complex networks is numerically investigated, where each neuron is subjected to an external subthreshold signal. With the diversity the network is a mixture of excitable and oscillatory neurons, and the diversity is determined by the variance of the system＇s parameter. The complex network is constructed by randomly adding long-range connections （shortcuts） on a nearest-neighbouring coupled one-dimensional chain. Numerical results show that external signals are maximally magnified at an intermediate value of the diversity, as in the case of well-known stochastic resonance, burthermore, the effects of the number of shortcuts and coupled strength on the diversity-induced phenomena are also discussed. These findings exhibit that the diversity may play a constructive role in response to external signal, and highlight the importance of the diversity on such complex networks.
基金The authors would like to thank Princess Nourah bint Abdulrahman University for funding this project through the Researchers Supporting Project(PNURSP2023R319)this research was funded by the Prince Sultan University,Riyadh,Saudi Arabia.
文摘Intrusion detection systems(IDS)are essential in the field of cybersecurity because they protect networks from a wide range of online threats.The goal of this research is to meet the urgent need for small-footprint,highly-adaptable Network Intrusion Detection Systems(NIDS)that can identify anomalies.The NSL-KDD dataset is used in the study;it is a sizable collection comprising 43 variables with the label’s“attack”and“level.”It proposes a novel approach to intrusion detection based on the combination of channel attention and convolutional neural networks(CNN).Furthermore,this dataset makes it easier to conduct a thorough assessment of the suggested intrusion detection strategy.Furthermore,maintaining operating efficiency while improving detection accuracy is the primary goal of this work.Moreover,typical NIDS examines both risky and typical behavior using a variety of techniques.On the NSL-KDD dataset,our CNN-based approach achieves an astounding 99.728%accuracy rate when paired with channel attention.Compared to previous approaches such as ensemble learning,CNN,RBM(Boltzmann machine),ANN,hybrid auto-encoders with CNN,MCNN,and ANN,and adaptive algorithms,our solution significantly improves intrusion detection performance.Moreover,the results highlight the effectiveness of our suggested method in improving intrusion detection precision,signifying a noteworthy advancement in this field.Subsequent efforts will focus on strengthening and expanding our approach in order to counteract growing cyberthreats and adjust to changing network circumstances.
基金This research is part of a project funded by Imam Abdulrahman Bin Faisal University,under Grant Number 2020-083-BASRC.
文摘Various feature selection algorithms are usually employed to improve classification models’overall performance.Optimization algorithms typically accompany such algorithms to select the optimal set of features.Among the most currently attractive trends within optimization algorithms are hybrid metaheuristics.The present paper presents two Stages of Local Search models for feature selection based on WOA(Whale Optimization Algorithm)and Great Deluge(GD).GD Algorithm is integrated with the WOA algorithm to improve exploitation by identifying the most promising regions during the search.Another version is employed using the best solution found by the WOA algorithm and exploited by the GD algorithm.In addition,disruptive selection(DS)is employed to select the solutions from the population for local search.DS is chosen to maintain the diversity of the population via enhancing low and high-quality solutions.Fifteen(15)standard benchmark datasets provided by the University of California Irvine(UCI)repository were used in evaluating the proposed approaches’performance.Next,a comparison was made with four population-based algorithms as wrapper feature selection methods from the literature.The proposed techniques have proved their efficiency in enhancing classification accuracy compared to other wrapper methods.Hence,the WOA can search effectively in the feature space and choose the most relevant attributes for classification tasks.
基金Supported by the National Natural Science Foundation of China under Grant No 10974098, the Doctoral Fund of Ministry of Education of China （20093207120003）, the Natural Science Foundation of Jiangsu Province （BK2009407）, and the National Basic Research Program of China under Grant No 2010CB732600.
文摘Magnetoacoustic tomography with magnetic induction has shown potential applications in imaging the electrical impedance for biological tissues. We present a novel methodology for the inverse problem solution of the 2-D Lorentz force distribution reconstruction based on the acoustic straight line propagation theory. The magnetic induction and acoustic generation as well as acoustic detection are theoretically provided as explicit formulae and also validated by the numerical simulations for a multilayered cylindrical phantom model. The reconstructed 2-D Lorentz force distribution reveals not only the conductivity configuration in terms of shape and size but also the amplitude value of the Lorentz force in the examined layer. This study provides a basis for further study of conductivity distribution reconstruction of MAT-MI in medical imaging.
基金ACKN0WLEDGMENT This work was supported by the National Natural Science Foundation of China （No.20374050） and SRFDP （No.20050358018）.
文摘Monte Carlo simulations were used to investigate the compatibilizing behaviors of multi-block copolymers with different architectures in A/B/（block copolymer） ternary blends. The volume fraction of homopolymer A, employed as the dispersed phase, was 19%. The simulations illustrate how a di- or multi-block copolymer aggregates at the interfaces and influences the phase behaviour of such incompatible polymer blends. The di-block copolymer chains tend to ＂stand＂ on the interface whereas the multi-block chains lie on the interface. In comparison with the di-block copolymer, the block copolymers with 4, or 10 blocks can occupy more areas on the interface, and thus the multi-block copolymers have higher efficiency for the retardation of the phase separation.
基金Princess Nourah bint Abdulrahman University for funding this project through the Researchers Supporting Project(PNURSP2024R319)funded by the Prince Sultan University,Riyadh,Saudi Arabia.
文摘This study describes improving network security by implementing and assessing an intrusion detection system(IDS)based on deep neural networks(DNNs).The paper investigates contemporary technical ways for enhancing intrusion detection performance,given the vital relevance of safeguarding computer networks against harmful activity.The DNN-based IDS is trained and validated by the model using the NSL-KDD dataset,a popular benchmark for IDS research.The model performs well in both the training and validation stages,with 91.30%training accuracy and 94.38%validation accuracy.Thus,the model shows good learning and generalization capabilities with minor losses of 0.22 in training and 0.1553 in validation.Furthermore,for both macro and micro averages across class 0(normal)and class 1(anomalous)data,the study evaluates the model using a variety of assessment measures,such as accuracy scores,precision,recall,and F1 scores.The macro-average recall is 0.9422,the macro-average precision is 0.9482,and the accuracy scores are 0.942.Furthermore,macro-averaged F1 scores of 0.9245 for class 1 and 0.9434 for class 0 demonstrate the model’s ability to precisely identify anomalies precisely.The research also highlights how real-time threat monitoring and enhanced resistance against new online attacks may be achieved byDNN-based intrusion detection systems,which can significantly improve network security.The study underscores the critical function ofDNN-based IDS in contemporary cybersecurity procedures by setting the foundation for further developments in this field.Upcoming research aims to enhance intrusion detection systems by examining cooperative learning techniques and integrating up-to-date threat knowledge.
基金The authors would like to thank Princess Nourah bint Abdulrahman University for funding this project through the researchers supporting project(PNURSP2024R435)and this research was funded by the Prince Sultan University,Riyadh,Saudi Arabia.
文摘The widespread adoption of Internet of Things(IoT)devices has resulted in notable progress in different fields,improving operational effectiveness while also raising concerns about privacy due to their vulnerability to virus attacks.Further,the study suggests using an advanced approach that utilizes machine learning,specifically the Wide Residual Network(WRN),to identify hidden malware in IoT systems.The research intends to improve privacy protection by accurately identifying malicious software that undermines the security of IoT devices,using the MalMemAnalysis dataset.Moreover,thorough experimentation provides evidence for the effectiveness of the WRN-based strategy,resulting in exceptional performance measures such as accuracy,precision,F1-score,and recall.The study of the test data demonstrates highly impressive results,with a multiclass accuracy surpassing 99.97%and a binary class accuracy beyond 99.98%.The results emphasize the strength and dependability of using advanced deep learning methods such as WRN for identifying hidden malware risks in IoT environments.Furthermore,a comparison examination with the current body of literature emphasizes the originality and efficacy of the suggested methodology.This research builds upon previous studies that have investigated several machine learning methods for detecting malware on IoT devices.However,it distinguishes itself by showcasing exceptional performance metrics and validating its findings through thorough experimentation with real-world datasets.Utilizing WRN offers benefits in managing the intricacies of malware detection,emphasizing its capacity to enhance the security of IoT ecosystems.To summarize,this work proposes an effective way to address privacy concerns on IoT devices by utilizing advanced machine learning methods.The research provides useful insights into the changing landscape of IoT cybersecurity by emphasizing methodological rigor and conducting comparative performance analysis.Future research could focus on enhancing the recommended approach by adding more datasets and leveraging real-time monitoring capabilities to strengthen IoT devices’defenses against new cybersecurity threats.
基金supported by China National Social Sciences Key Project“Research on the Ethics and Limits of AI in Educution Scenarios”(No.ACA220027)the Ministry of Education’s“14th Five-Year Plan”Research Project“Research on New Opportunities and New Challenges for Education in the 5G Era”(No.SSW202018).
文摘The 5G communication technology serving a wide range of vertical industries is maturing,which provides a possible boost for the development of smart education and lays a foundation for solving the principal contradiction in current education.With the characteristics of ultra-high speed,low latency,low energy consumption,massive network capacity,and high reliability,the 5G technology is applied with other technologies like artificial intelligence(AI),internet of things(IoT),big data,and blockchain to promote the application upgrading of intelligent education technology.This paper analyzes the intelligent education technology and its eight typical applications in the 5G era,which include smart safe campus,integrated learning spaces,synchronous cyber classrooms,teachers’professional development,robot learning partners,mobile and ubiquitous learning,virtual simulation training,and smart e-textbooks.Then,it discusses how intelligent education technology promotes changes in the modes of learning and teaching in the 5G era from three dimensions:individual learning,collaborative group learning,and classroom-based collective teaching.At last,the framework of smart education in the 5G era is proposed from the perspectives of intelligent education technology and its typical applications,changes in learning and teaching,and the new ecosystem of smart education.
文摘The recording and playback of information using a reverse stimulated photon—echo hologram when exposed to the recording medium pulse of non-resonant electromagnetic standing wave was considered. It was shown that the spatial intensity distribution in stimulated echo hologram response depended on the electric field intensity of non-resonant standing wave that allowed controlling by a reproducible image.
文摘This paper pinpoints the deficiencies in aesthetic education within Beijing’s primary schools and delineates the strategy of the UPPE Project-short for“Universities’Participation in Primary Education”-for capitalizing on university resources to bolster this pivotal educational component.The project adopts a multi-pronged approach,including conducting needs assessments,integrating international expertise,and conducting systematic research to address pivotal issues.It introduces initiatives such as strategic planning,tiered educational goals,a closed-loop curriculum development,comprehensive course implementation,and the enhancement of cultural infrastructure in both software and hardware,along with the cultivation of diverse community groups.The project also prioritizes teacher professional development and collaborative pedagogical research,establishing a robust framework for cooperative and mutually beneficial outcomes.The conclusion highlights the project’s role in fostering sustainable development in aesthetic education,which is essential for the comprehensive enhancement of students’qualities.
基金I am greatly indebted to Professor Chen Bateer at Higher Education Research Institute in Nankai University.I also give thanks to schoolmaster Sonam Dorje for supporting my research at Guide Minority Boarding School.
文摘Adolescent alienation is a symptom of problems in relations among the individual,school,community,and family.Based on a research conducted with a sample of 897 Tibetan adolescent students in Grades 7 to 12,this study reveals that over one third of subjects experience high levels of alienation.Questionnaire data and field work show possible sources of this alienation in contemporary rural Tibetan society in China,factors that may reduce alienation,and explanations for low levels of alienation among some students.The paper concludes with an argument for researchers and policy makers to pay greater attention to the issue of alienation among minority boarding school students.
