Reviewerly/exHarmony huggingface dataset:
Application of Modeling and Simulation Technology in Vocational Education Skills Competition

During the preparation of the skills competition, the students encountered the problem that the bending torsion combination experiment could not be implemented.In order to solve this problem, the paper proposed the idea of modeling and simulation.The students established a geometric model at the request of the teachers and put forward specific simulation requirements.On this basis, the finite element model was established by ABAQUS, and calculation was carried out on a computer.Clear Mises stress nephograms and rich data were obtained by the simulation, which solved the students' doubts and accelerated the production progress of the students' entries.In the process of solving the problem, problem analysis ability and data processing ability of the students have been significantly improved.The skills competition is an important part of the vocational education system.Simulation technology in the design of entries has been little studied and should be paid attention by more scholars.
Research on the Criminal Recidivism Prediction Based on Machine Learning Algorithm

Criminologists and social security personnel around the world have found that the risk of released criminals is much higher than that of people who have not committed crimes, and preventing people with criminal records from recommitting crimes should be one of the strategic priorities of social crime prevention.Therefore, risk assessment of criminal recidivism has been used to improve social security by predicting the criminal recidivism of offenders.In order to predict criminal recidivism, this article applied machine learning (ML) algorithms models (KNN, random forest, support vector machine and logistic regression) on the data set of the basic information about 10,000 criminal defendants in Broward County, Florida and their recidivism within two years.The predictive accuracy of models used in this article was between 0.64 and 0.67, with AUC ranging between 0.65-0.72.The AUC value of logistic regression is highest with 0.713 while support vector machine has the highest accuracy reaching to 0.671.This study provides a reference on selecting best method to predicting criminal recidivism.
Deepfake Personas: Primary Evidence on User Perceptions in a Design Task

Deepfakes, realistic portrayals of people that do not exist, have garnered interest in research and industry. Yet, the contributions of deepfake technology to human-computer interaction remain unclear. One possible value of deepfake technology is to create more immersive user personas. Testing this premise, we use a commercial-grade service to generate three deepfake personas (DFs). We also create counterparts of the same persona in two traditional modalities: classic and narrative personas. We then investigate how persona modality affects perceptions and task performance of the persona user. Our findings show that the DFs were perceived as less empathetic, credible, complete, clear, and immersive than other modalities. Participants also indicated less willingness to use the DFs and less sense of control, but there were no differences in task performance. We also found a strong correlation between the uncanny valley effect and other user perceptions, which implies that that the tested deepfake technology might lack maturity for personas, resulting in a negative effect on user experience. Users might also be accustomed to using traditional persona profiles. Further research is needed to investigate the potential and downsides of DFs.
From Third Person to First Person: The VR Education Systems

Based on VR technology, the core task of VR education system -system simulation is reviewed.This paper analyzes the formation framework of VR education system, discusses the current development status of VR education system based on field difference classification, and compares the key problem solving techniques of VR technology to achieve the simulation of education platform.The noise reduction is based on filtering, and the noise reduction effects of median filtering, smooth filtering model and bilateral filter are compared.Compare Laplace, virtual viewpoint rendering algorithm of hierarchical image fusion, Newton iterative algorithm and so on to ensure clarity.VR education system can help students understand the abstract symbolic knowledge, provide students with a faster way to gain direct experience, break the knowledge barrier, is conducive to teaching and learning of teachers and students, and promote the development of education.Finally, several possible key directions of future research on "VR+ education" are put forward.
Putting the R into PlatfoRms

&#x0D; This paper looks at the question of how and why to bring about greater reusability of Research Platforms (variously called Virtual Laboratories, Virtual Research Environments, or Science Gateways). It begins with some context for the Australian Research Data Commons, where the authors are based. It then examines the infrastructure concerns that are driving the need for platforms to be created and remain sustainable, and the connection from this to reusability. The paper then proceeds to discuss the ways in which FAIR is being extended to a range of research objects and infrastructure elements, before reviewing the work of the FAIR4VREs WG. The core of the paper is an examination, with examples or case studies, of four different paradigms for platform reusability: accessing, adopting, adapting, and abstracting. The paper concludes by examining actions undertaken by the ARDC to increase the likelihood of reusability.&#x0D; &#x0D;
Visualizing Combinatorial Search Spaces with Low-Dimensional Euclidean Embedding

The low dimensional Euclidean embedding method (LDEE) allows visualizing combinatorial search spaces by mapping to the Euclidean space R k (with k = 2 or 3 in practice). The mapping of a combinatorial search space Ω to R k is obtained by first running the t-SNE (t-distributed stochastic neighbor embedding) algorithm with an appropriate probability distribution used for the space Ω (for example the Mallows distribution for permutation spaces). Subsequently, the vacuum embedding algorithm, proposed in this article, is used to ensure good visual separation of solutions in R k . The LDEE method maps solutions to a regular grid in R k , which can be used for plotting various kinds of information. Apart from solution evaluations or comparisons of multiple objectives, the proposed method can be used for analyzing the behavior of the population in population-based metaheuristics, the working of genetic operators, etc. This newsletter contribution summarizes a recent research article [1].
Design of Circuit Course Micro-course Based on ADDIE Model

As a product of teaching reform in the information age, the research on the theory, design, development and application of micro-course had become one of the research focuses of experts and scholars.In order to provide resource for the teaching reform of Circuit course, the design framework of Circuit course microcourse, which is based on ADDIE instructional design model, is given, and the specific implementation stage is defined.The corresponding method and steps of micro-course design of circuit course based on ADDIE model, taking 'the physical nature of wireless charging-mutual--mutual inductance phenomenon and voltampere characteristics of coupled inductors' as an example, are expounded.
Erving Goffman’s Systematic Sociology of Information

As part of Erving Goffman’s Centennial celebrations, this paper looks at his work pioneering the sociology of information. Goffman developed a theory of information sui generis, that was independent from extant studies of information. Goffman’s considerations of information suffuse his writings. These are systematic in that they develop and advance throughout his work. However, his contributions to the study of information are only just beginning to be recognized. Prevailing views of Goffman’s work have obscured appreciation of his systematic treatment of information. Goffman was pursuing information as a topic at the same time as Harold Garfinkel. Information – and the systematic study of information – are highlighted as criteria for establishing continuities and discontinuities between Goffman and Garfinkel.
How to Reduce Lead-Times in Long Devops Agile Projects

Longer Lead times in Devops process has shown to be a challenge to manage and costly for organizations if unplanned for long-term (longer than 1 month) agile projects.According to [11], typical agile lead duration varies between from one to four weeks.Therefore, agile by design is supposed to be short.However, if agile exceeds the threshold of more than one month, then organization needs to introduce ongoing/controlling mechanism to bring it back to be short again.The aim of this paper is to outline how such ongoing planning/controlling mechanism can be developed for long-term agile projects.In recent years, almost 50% of organization has suffered economical losses [12] and teams burn-out due long-term agile projects.Therefore, it is key to understand the core agile process for Digital Transformation; Continuous Integration (CI) and Continuous Deployment (CD) to help manage the key challenges which this paper outlines in three sub-sections.Also, this paper demonstrates how innovation process in agile should help organization to excel as successful organizations like in [3] have done.
A study on the acquisition path of grammar for higher vocational college students based on cultural context

The focus of grammar acquisition has been shifted from form and rules to the exploration of the discourse and meaning.Interactive use of concepts and meanings in contexts is of great significance in improving grammatical competence.Students in Higher Vocational Colleges are weak in English grammar due to years of boring grammar rules reciting and out-of-context exercises training.In this setting, this study set out to explore the path of grammar acquisition from the perspective of cultural context, which is rooted from contextual and sociocultural theories.Through the survey, test results and practice, five possible aspects are provided as reference for the grammar acquisition of college students.
A Teaching Reform of the Programming Course Based on Robot Competition for the Automation Major

Against the backdrop of new engineering education, the teaching of the automation major needs to be reformed based on the model of engineering education.As a practical course for the automation major, the programming course needs to incorporate more flexible and diverse projects into the classroom to fulfill the reform.The Robot Competition, an interesting, practical and innovative form of educational activity, can greatly improve students' engineering skills and creative thinking, increase their interest in learning, and enhance their academic performance.The practical training for the Robot Competition is carried out in a task-driven, group-cooperation and assessment-based manner.Students need to design the robots and code the programs themselves.The robots are optimized as the course proceeds, and a competition is held at the end of the course.The robot competition has achieved remarkable performance in improving the teaching effect, providing a demonstrative example for nationwide adoption and enjoying a broad prospect of broader application.
The Effectiveness of Virtual Tour on Media Social Youtube as an Alternative Tourism During the Covid-19 Pandemic in East Nusa Tenggara Province

Virtual Tour is one of the new concepts for the world of tourism and is predicted to be a safe alternative for tourism amid the COVID-19 pandemic.As we know, tourism is a sector that has experienced a significant impact due to the outbreak of Covid-19 in the world today.The implementation of social distancing for people around the world forces us to stay at home and prohibits us from traveling.The Indonesian government through the Ministry of Tourism and Creative Economy/Kemenparekraf made a breakthrough by holding virtual tour activities 3 times and lifting every tourist destination in Indonesia.One of them is a tourist destination in East Nusa Tenggara Province.The tourist destinations appointed by the Ministry of Tourism and Creative Economy in NTT Province are Labuan Bajo, Wae Rebo Tourism Village and Alor Island.This Virtual Tour activity was uploaded on the Youtube platform with the Toutube Channel Wonderfull Indonesia.Seeing the above phenomenon, here the researcher is interested in conducting a study and raising the topic of the Effectiveness of YouTube Social Media Virtual Tours as Tourism Alternatives During the Covid-19 Pandemic Period in East Nusa Tenggara Province.(Case Study: Video Youtube Channel "Wonderfull Indonesia").The method used in this study uses a qualitative method with an entography approach.Where this method this method can be used in photographing the phenomenon of society that is in the realm of cyberspace.The location that will be taken in this research is based on the youtube analysis chosen by the author, namely the Wonderfull Indonesia channel which is located in East Nusa Tenggara Province.The results of this study are discussed based on indicators of effectiveness such as 1.Program success 2. Target success 3. Satisfaction with the program 4. Input and output levels 5. Achievement of overall goals.As a result, the success of the virtual tour on the Wonderful Indonesia Youtube Channel during the COVID-19 pandemic in East Nusa Tenggara, it can be said that it went well and on target so that it produced its own satisfaction for the viewers/netizens.However, there are still some obstacles caused by other social media promotions on the existence of virtual tour videos held by the Ministry of Tourism and Creative Economy through the wonderful Indonesia youtube channel.
Practical Teaching Design of Programming Course for Automation Major of New Engineering Education

Under the background of new engineering education, automation major education faces new requirements of engineering practice reform.As the basic tool course of automation major, the programming course needs to further optimize the teaching content and strengthen practical teaching.This work designs the stepped and structured practical teaching contents as a new form of practice teaching and introduces simple in-class exercises, comprehensive in-class experiments, as well as extracurricular robotics practice competitions in the program design.The course trains students to transform their theoretical knowledge into engineering skills and improves their engineering practice and engineering innovation abilities.The programming course adopts a structured assessment and scoring method, emphasizing practical assessment, and comprehensively examines students' basic knowledge and theory, programming skills, and the ability to solve engineering problems.The novel practical teaching form strengthens the tool attribute of the programming course and enhances the students' ability to analyze and solve problems using computational thinking.Therefore, the new engineering education of automation major is strongly recommended.
Integration of Block chain Model for Energy Efficient WSN for IOT Application

Abstract: Wireless Sensor Networks (WSNs) play a key role in the Internet of Sensor Things (IoST).IoST helps collect data from environments and is used in energy trading, monitoring, smart grids, and more. Connect to the Internet and automate your surveillance system without third-party involvement. An IoST network consists of Sensor nodes that perform environmental monitoring. Wireless Sensor Networks (WSN) and the Internet of Things (I.o.T) have gained popularity in recent years as the underlying infrastructure for connected devices and sensors in a variety of sectors. The data generated by these sensors are used in smart cities, agriculture, transportation systems, healthcare systems, toll collection systems, automatic identification of road data, automatic identification of vehicle license plates, and more. It has become a proposed blockchain mechanism. The main problems and challenges of WSN are effectively reduced by using the LEACH protocol with efficient cluster head selection.
Toward Efficient and Complete Line Segment Extraction for Large-Scale Point Clouds via Plane Segmentation and Projection

An efficient method based on plane segmentation and projection is proposed to extract as complete boundary (straight) line segments as possible. To efficiently detect boundary points, 3-D planar point clouds (patches) generated by plane segmentation are converted into 2-D images by graphical projection to avoid point-based nearest neighbors’ searching. To preserve boundary details, the projection resolution for each plane is determined through accurate statistics of average local intervals between points in voxels composing corresponding planar point clouds. To alleviate erroneous line segmentation extraction caused by uneven densities of planar point clouds, improved mathematical morphological operation, whose structural element order is self-adaptive to local point density, is proposed for crack inpainting of projected images. As for extraction of 3-D boundary line segments, the back-projection results of 2-D boundary line segments detected from images are utilized as references for clustering of boundary points, and a 3-D straight line fitting algorithm based on recursive weighted least squares is employed to reduce the effect of boundary noise. A series of refinement strategies are further presented to control the quality of extracted 3-D line segments. Experimental results demonstrate that the proposed line segment extraction method can provide efficient and fine processing results, as well as automatic processing ability, which satisfies the efficient processing demand for large-scale point clouds.
Pengaruh Persepsi Mahasiswa pada Pentingnya Akuntansi dan Kompetensi Mahasiswa terhadap Presentasi Mahasiswa

Abstract. This study aims to determine (1) student perceptions about the importance of accounting on student achievement; (2) student competency on student achievement.This research is a quantitative descriptive study with a population of Unisba Accounting Study Program class of 2019 who have taken basic accounting courses to advanced accounting. Sampling was carried out by Non-Probability Sampling with Purposive Sampling technique. Meanwhile, the sampling calculation used SPSS software with a total of 31 students. Data collection was carried out using a questionnaire. Test the validity of the instrument using product moment correlation and test the reliability of the instrument using Cronbach's alpha.In this study, there are methods used, namely the classical assumption test, multiple regression analysis with the f test, t test, and test the coefficient of determination.The results showed that students' perceptions of the importance of accounting and student competence had a significant effect on student achievement. So that Unisba accounting students class of 2019 have a fairly strong influence on developments to outstanding students.&#x0D; Abstrak. Penelitian ini bertujuan untuk mengetahui (1) Persepsi mahasiswa pada pentingnya akuntansi terhadap prestasi mahasiswa; (2) kompetensi mahasiswa terhadap prestasi mahasiswa. Penelitian ini merupakan penelitian deskriptif kuantitatif dengan populasi mahasiswa Prodi Akuntansi angkatan 2019 yang sudah menempuh mata kuliah dari dasar-dasar akuntansi hingga akuntansi lanjutan. Pengambilan sampel dilakukan dengan Non Propability Sampling dengan teknik Sampling Purposive. Sedangkan perhitungan pengambilan sampel dihitungan dengan menggunakan software SPSS dengan jumlah 31 mahasiswa. Pengumpulan data dilakukan dengan menggunakan angket/kuesioner. Uji validitas instrumen menggunakan korelasi product moment dan uji reliabilitas instrumen menggunakan alpha Cronbach. Dalam penelitian ini terdapat metode yang digunakan yaitu uji asumsi klasik, analisis regresi berganda dengan uji f, uji t, dan uji koefisien determinasi Hasil penelitian menunjukkan bahwa persepsi Mahasiswa Pada pentingnya akuntansi dan kompetensi mahasiswa mempunyai pengaruh signifikan pada prestasi mahasiswa. Sehingga mahasiswa akuntansi Unisba angktan 2019 mempunyai pengaruh yang cukup kuat pada perkembangan untuk meriliskan mahasiswa yang berprestasi.
Explainable AI as evidence of fair decisions

This paper will propose that explanations are valuable to those impacted by a model's decisions (model patients) to the extent that they provide evidence that a past adverse decision was unfair. Under this proposal, we should favor models and explainability methods which generate counterfactuals of two types. The first type of counterfactual is positive evidence of fairness: a set of states under the control of the patient which (if changed) would have led to a beneficial decision. The second type of counterfactual is negative evidence of fairness: a set of irrelevant group or behavioral attributes which (if changed) would not have led to a beneficial decision. Each of these counterfactual statements is related to fairness, under the Liberal Egalitarian idea that treating one person differently than another is justified only on the basis of features which were plausibly under each person's control. Other aspects of an explanation, such as feature importance and actionable recourse, are not essential under this view, and need not be a goal of explainable AI.
Faktor-faktor yang Mempengaruhi Minat Mahasiswa Dalam Memilih Program Studi Akuntansi di Universitas Hein Namoeto

The purpose of this study was to determine the factors that influence students' interest in choosing an accounting study program. The data used in this study were obtained from the results of distributing questionnaires which were distributed to active students in the accounting study program at Hein Namotemo University. The results of this study indicate that the career expectation factor has a positive and significant effect on student interest in choosing an accounting study program, this is evidenced by looking at the value of tcount&gt; ttable (2.549&gt; 1.987) with a significance of 0.015, while for the perception factor and personal characteristics it has no significant effect on students' interest in choosing an accounting study program, this is evidenced by the results of the analysis that for the perceived factor the value of tcount&gt; ttable (1.612&lt;1.987) with a significance of 0.115, for personal characteristics factors with a value of tcount&lt;ttable (0.352&gt;1.987) with a significance of 0.727. for the test results of the coefficient of determination (R Square) of 0.261 or equal to 26.1%, while the rest is influenced by other variables outside of this study.