Reviewerly/exHarmony huggingface dataset:
Research on Risk Prediction of Modern Terrorist Attack Cooperation Event Based on Time Series

In-depth study on the cooperative characteristics of modern terrorist attacks and prediction of their development trend is helpful to control risks, strengthen regional security management and improve the effectiveness of counter-terrorism.Based on the data of 192,212 terrorist attacks from 1970 to 2018 provided by the Global Terrorism Database, this paper selects cooperative terrorist attacks, analyzes their distribution regions, proportion changes and other characteristics, and further constructs the cooperative network of terrorist organizations, and finds that the connection relationship continues to become complicated.By constructing a time series model, this paper predicts the trend change of the risk of cooperative terrorist attacks, and obtains the theoretical prediction of two small increases in cooperative terrorist attacks in 10 years.Finally, the risk management of dealing with terrorism cooperation is put forward.
Research on the Construction of Digital Teaching Resources for Schools Oriented to Teaching Innovation

With the continuous further development of education informatization in our country, the present way and the way of spreading knowledge have changed gradually, which has caused innovation of teaching mode, teaching method and learning method. In the information teaching environment, as an important resource in the implementation of the teaching process, digital teaching resources have become the focus of basic education schools gradually. Schools have begun to explore the construction of digital high-quality teaching resources with their own characteristics, so as to promote the teaching reform and innovation of schools. In order to explore the effective measures and effects of the construction of digital teaching resources in combination with the needs of teaching innovation, this study carried out various comprehensive studies. This paper first introduces the dimension and principle of teaching innovation to provide theoretical basis for the research. Secondly, this paper puts forward the countermeasures to promote the construction of digital teaching resources in schools, to provide reference for related research.
A novel image encryption and decryption scheme by using DNA computing

This chapter presents the application of DNA computing in the field of image cryptosystems. Since images are multimedia data with high redundancy, conventional algorithms for encrypting text data prove to be impractical. Cryptosystems for images have to be designed in such a way as to make sure that they remove both visual and statistical content from the original data, for which DNA computing stands as an efficient tool. Several such cryptosystems designed for natural, color, and medical images have been reviewed in this chapter. Researchers have developed various DNA-based operations to be used in image cryptosystems, which have been elaborately discussed. The basic algorithms used in most of the cryptosystems have been discussed, and a cryptosystem has been proposed to illustrate the working of the various steps involved. The essential security parameters required for any image cryptosystem have been presented, and performance evaluation of the proposed method on various standard images has been shown. In the end, the chapter throws some light on the possible improvements, motivating the readers to add some significant contributions to this exciting subject.
Effective Learning Method Using Extended Reality: Digital TWI

Training within Industry was created under World War II by the U.S. Department of War, within the War Manpower Commission, to assist defense industries meet the high production output demand from less or inexperienced labor. It ran from 1940 to 1945, made its way to Japan after the war and became a foundational component of the Toyota Production System (TPS). TWI is a well-proven lean education methodology consists of four main modules: Job Instructions (JI), Job Relations (JR), Job Methods (JM) and Program Development. This paper aims to explore combining TWI Job Instructions (JI) module with extended reality (XR) smart glasses and technologies that may create an effective and innovative lean education program.
The Case for Cryptoassets as Property

Cryptoassets, introduced in the wake of the Great Recession (2007-2009), have proven to be very divisive. Embraced by some as part of a revolutionary future, they are derided by others as the misconceived fever dream of naïve technologists who don’t understand how the real world works. Despite a recent meltdown in the cryptoasset markets, or perhaps because of it, the courts will increasingly have to resolve disputes over cryptoassets. An important question that has dramatic implications on how such disputes are resolved is, “Should cryptoassets be considered property?” In this bifurcated contribution, two contrasting positions are taken. “The Case for Cryptoassets as Property” presents the case for classifying cryptoassets as property, arguing that it greatly simplifies dispute resolution. “Better Left to the Legislature?”, on the other hand, disputes the capacity of the courts to do so. It is our shared hope that, through this adversarial process, we shine a clearer light on the arguments that judges and other lawmakers ought to consider as they face the coming deluge of disputes.
Experimental Speech Recognition From Pathological Voices

Speech recognition has been the subject of quite a few research subjects as it is the adequate means for dynamic, efficient and interaction Human communication simultaneously using the two phenomena of phonation and hearing between speakers, the applications of its searches are enormous for example one can quote: the dictation, the speech synthesis within the Windows software, the speech recognition of the Google search engine at the Smartphone level …… ..etc. all its applications depend on the conditions of use in which they are implemented, to be done and to overcome the puzzles of imperfection it is necessary to be sure to properly characterize the speech signal by extracting the most relevant characters such as: the fundamental frequency (pitch in English), timbre, tonality, to extract them many techniques are possible, the most used of which are acoustic such as: MFCC, PLP, LPC, RASTA and other in the form of combination (hybridization) namely: PLP RASTA, MFCC PLP …………… etc. They are used in data transmission, speaker recognition and even in speech synthesis.
Dynamic Epistemic Logic for Budget-Constrained Agents

We present a static ( $$\textsf{EL}_{\textsf{bc}}$$ ) and dynamic ( $$\textsf{DEL}_{\textsf{bc}}$$ ) epistemic logic for budget-constrained agents, in which an agent can obtain some information in exchange for budget resources. $$\textsf{EL}_{\textsf{bc}}$$ extends a standard multi-agent epistemic logic with expressions concerning agent’s budgets and formulas’ costs. $$\textsf{DEL}_{\textsf{bc}}$$ extends $$\textsf{EL}_{\textsf{bc}}$$ with dynamic modality “ $$[?_i A]\varphi $$ ” which reads as “ $$\varphi $$ holds after i’s question whether a propositional formula A is true”. In this paper we provide a sound and complete axiomatization for $$\textsf{EL}_{\textsf{bc}}$$ and $$\textsf{DEL}_{\textsf{bc}}$$ and show that both logics are decidable.
MND: A New Dataset and Benchmark of Movie Scenes Classified by Their Narrative Function

The success of Hollywood cinema is partially attributed to the notion that Hollywood film-making constitutes both an art and an industry: an artistic tradition based on a standardized approach to cinematic narration. Film theorists have explored the narrative structure of movies and identified forms and paradigms that are common to many movies - a latent narrative structure. We raise the challenge of understanding and formulating the movie story structure and introduce a novel story-based labeled dataset-the Movie Narrative Dataset (MND). The dataset consists of 6,448 scenes taken from the manual annotation of 45 cinema movies, by 119 distinct annotators. The story-related function of each scene was manually labeled by at least six different human annotators as one of 15 possible key story elements (such as Set-Up, Debate, and Midpoint) defined in screenwriting guidelines. To benchmark the task of scene classification by their narrative function, we trained an XGBoost classifier that uses simple temporal features and character co-occurrence features to classify each movie scene into one of the story beats. With five-fold cross-validation over the movies, the XGBoost classifier produced an F1 measure of 0.31 which is statistically significant above a static baseline classifier. These initial results indicate the ability of machine learning approaches to detect the narrative structure in movies. Hence, the proposed dataset should contribute to the development of story-related video analytics tools, such as automatic video summarization and movie recommendation systems.
The Practice of College English Teaching Reform with Intelligent Voice Evaluation in the Context of Artificial Intelligence Empowering Education

Artificial intelligence (AI) technology empowers the digital transformation of education, which is gradually shaping a new form of education.Based on the theory of "computer-assisted language learning", an overall teaching reform practice of human-machine collaborative education was conducted through the deep integration of artificial intelligence and college English teaching in the aspects such as teaching mode, teaching evaluation, and promoting teaching by competition.With the assist of the FIF oral language training system, the intelligent speech assessment was achieved in students' oral practice by the means of multidimensional speech evaluation, dependency syntax analysis and error detection coding analysis.In the test sample in this paper, 95% of the students' oral pronunciation errors were identified, the time spent by students in learning was increased by 15%, the evaluation score of oral English was increased by 5%, and the student satisfaction rate reached 99%.The results of this study show that the application of artificial intelligence technology in English teaching improves teaching effectiveness, enhances students' enthusiasm and initiative in learning, and provides feasible solutions for smart teaching in teaching, learning, evaluation and testing.
Using Multiple Linear Regression SPSS Method to Analyze the Promotion Effect of Information Education on College Chinese

This paper uses multiple linear regression SPSS analysis method to analyze and demonstrate the promotion effect of information education on college Chinese teaching.Informatization refers to the historical process of cultivating and developing the new productive forces represented by intelligent tools and making them benefit the society.The application of informationization in education and teaching is to use modern intelligent tools and information technology to develop educational resources and optimize the educational process.Under the guidance of modern educational ideas and theories, a new way of education and teaching is launched.With the rapid development of modern science and technology and society, traditional subjects such as college Chinese need to explore information education, develop educational resources, optimize the education process and launch new education and teaching methods.Grasp learning dynamics and adjust teaching strategies; Active classroom atmosphere, improve the teaching effect.
Performance Evaluation and Modeling on Practical Ability Cultivation Mode for English Majors Based on Cloud Platform and Cloud Interconnectedness Theory

According to China's "National Standard for the Teaching Quality of English Majors in Colleges and Universities" (abbreviated as "National Standard"), "Internship and Practical Training" refers to all kinds of practical activities carried out in combination with course teaching, mainly including professional novitiate and internship, extra-curricular practical teaching, social practice activities, international exchanges, etc., which aims at cultivating students' practical ability and innovation ability, helps students to understand civil and national conditions, as well as broadens their international vision.Based on "Cloud Interconnectedness Theory" (abbreviated as CIT), this study is conducted by integrating WJX online platform, Wisdom Tree teaching platform and SPOC teaching, taking Software Engineering Institute of Guangzhou (SEIG) as an example to propose a performance evaluation and modeling on practical ability cultivation mode for English majors.
Research on Influencing Factors of Extra-Role Information Security Policy Compliance Behaviour Based on Structural Equation Model

Information security noncompliance behaviour of employees within an organization is one of the primary reasons for the high frequency of information security incidents.The issue of information security compliance behaviour has attracted attention and importance.The information came from a poll of 525 Chinese civil officials.This study identified variables through empirical analysis that can forecast extra-role information security policies (ISP) compliance behaviours.Structural equation model (SEM) was established and the data was analysed by SmartPLS (Partial Least Square).The findings demonstrated a substantial relationship between peers' behaviour and extra-role ISP compliance by employees and the company information security atmosphere.Additionally, it was discovered that both the relationship between peer behaviour and extra-role behaviour and the relationship between the information security climate and extrarole behaviour were being mediated by employees' ISP compliance intention and response efficacy.Practical implications are discussed in conclusion.
Eligibility Test for Science, Technology, Engineering, Arts, Mathematics (STEAM) Based Syntax Modules

In the era of society 5.0, an integrated learning approach is needed to improve student understanding, especially in the Syntax Course.An integrated approach based on Science, Technology, Engineering, Art, Mathematics (STEAM) can be applied to modules as student learning materials.The feasibility of STEAM-based modules is needed to ensure that the STEAM approach can be applied properly so that it can support the student learning process.This study aims to describe the feasibility of STEAM-based syntax modules as teaching materials for students of the Indonesian Language and Literature Education Study Program.This type of research is development research.The module feasibility test process was carried out twice including material expert validation, linguistic expert validation, and graphic/media expert validation.In the feasibility test of this module, a Likert scale is used with four assessment criteria, namely very unfeasible, quite feasible, feasible and very feasible.The results of the phase 1 feasibility test indicate that the STEAM-based syntax module is feasible to use with revisions, with the average results of material expert validation being 3.11, linguist validation 3.23 and graphic/media expert validation being 3.20.Furthermore, improvements were made with the results of the feasibility test phase 2 which showed that the STEAM-based syntax module was very feasible to be used as a support for the learning process with the average results of material expert validation being 3.72, linguistic expert validation 3.71 and graphic/media validation being 3.68.Based on the assessment of the three expert validations, the STEAM-based syntax module is very feasible to be one of the teaching materials that can support the learning process in the Indonesian Language and Literature Education Study Program.
Digital Literacy Ability and Learning Style of English Students in the Covid-19 Pandemic

Learning English as an international language has changed a new paradigm in learning in the Covid-19 pandemic era, both synchronously and asynchronously so that digital literacy and student learning styles are increasing.This research aims to describe the condition of digital literacy and student learning styles in the pandemic era.This research employed mixed method.The technique of collecting data used questionnaires and interview.The data were collected from 100 students by using google form both closed and open-ended.The results showed that the students' literacy skills in learning English during the covid-19 pandemic were in high or good category (3.65).Meanwhile the students' literacy ability in supporting good/high learning practices was in a very high category (4.28).It means that students have predominantly carried out learning activities using online both independently and in lectures.Good digital literacy directly affects the learning styles used by students in their learning.Student learning styles are in the good or balanced category (3.79) in applying six learning styles.The details of each learning style are auditory, kinaesthetic, visual, tactile, group, and individual.Among the six learning styles, the auditory learning style is more dominant than other learning styles.Between learning styles and students' digital literacy skills, there is a balance, namely good or high categories.
Teaching Research of Power Battery and Its Management System Based on Post Course Certificate

New energy vehicles are entering a new stage of large-scale and rapid development, and are in urgent need of application-oriented, innovative and compound high-quality technical talents to adapt to the construction of modern industrial system and economic and social development.Taking the course power battery and its management system as an example, from the perspective of "post course competition certificate", integrating information technology, to explore the new form of course teaching system construction ideas, methods and means, can actively promote teachers' teaching reform, conducive to personalized teaching and application-oriented talent training.
Improve Quality and Efficiency of Social Services by Launching National Training Programs

During the construction of "Double High-levels Plan", the professional group of automobile manufacturing and testing technology has made some achievements by carrying out integration between college and well-known enterprise.Teacher training bases have been jointly built and shared, and various professional standards were developed actively.Training objectives were set scientifically, and training contents were designed and planned systematically.In addition, an innovative teaching team was established to carry out national training projects.Professional experience has been formed and popularized.
A Research on the Development of Resource-Based Cities by Using the Big Data to Realize the Economic Transformation

The technological revolution, based on the big data, has exerted a huge impact on people's work and life styles.Currently, China has to simultaneously deal with the slowdown in economic growth, make difficult structural adjustments, and absorb the effects of previous economic stimulus policies, namely "the threestage superposition".In view of this, it is an inevitable way to use the big data to realize the economic transformation for the upgrading of resource-based cities.On this basis, by taking Jining City of Shandong Province as an example, this paper analyzes the economic development of resource-based cities, and discusses how to get an adequate understanding of the characteristics of the economic "new normal", how to adapt to "the new normal" from the stage characteristics of the current economic development, and how to use the big data technology to realize the transformation from the demand management to the supply management.With a commitment to put the structural adjustment in a more prominent position, and make good use of the decisive role of the market in the allocation of resources, it is urgent to take effective measures to encourage innovation, strengthen the training of the personnel, and develop the tertiary industry, so as to promote the overall upgrading of the industrial structure.
A Study on University Students’ Experiences on Online Assessment During Pandemic

In line with the new norm practice in education during Covid-19 pandemic, the experience of university students towards the shift of online teaching and learning needs to be investigated.Thus, the objective of the paper is to examine the experience of students on online assessment from the perspective of advantages of online assessment, perceived ease of use of online assessment and perceived usefulness of online assessment.Technology Acceptance Model (TAM), conceptual framework was applied.The study utilised an online questionnaire to obtain data from undergraduate students who used online learning in MMU.The results show that the relationship between students' experiences on online assessment and advantages of online assessment is most significant among university students.Perceived ease of use of online assessment and perceived usefulness of online assessment related to the experience of students on online assessment was also validated.
An Empirical Study on the Effect of Information on College English Teaching

Based on the empirical data and panel regression model of Yunnan Vocational College of Land and Resources, the relationship between the degree of informatization in teaching and learning and the effect of English teaching was empirically analyzed with the average score of AB grade English test as a surrogate variable of teaching effect.The results show that, in addition to the proportion of time spent on English lesson preparation using information sections, the other information factors have significant positive effects on the average score of AB level.Therefore, the integration of information zed factors with teaching and learning is one of the effective ways to improve the effect of college English teaching.Among the information factors, the proportion of time spent in English learning using information methods has the greatest effect on AB grade, but its sample mean is the lowest, suggesting that actively guiding and encouraging college students to use information methods for English learning may significantly improve the effect of English teaching.
Big Data-Driven Computer Teaching Effect Evaluation Model

With the continuous progress of information technology and the continuous development of science and technology, the concept of big data is gradually infiltrating into every corner of social life.The opportunity of big data to promote the reform and development of modern education in China is one of the important factors affecting the achievements of computer teaching.This paper studies and analyzes the importance of computer teaching innovation and reform in the actual situation of computer teaching under the background of big data, and at the same time puts forward corresponding innovative optimization countermeasures, so as to promote the overall growth and healthy development of students, and make big data become an important part of computer.