Reviewerly/exHarmony huggingface dataset:
A Two-Stage Machine Learning Classification Approach to Identify Extremism in Arabic Opinions

The increased usage of the Internet and social networks allowed and enabled people to express their views, which have generated an increasing attention lately. Sentiment Analysis (SA) techniques are used to determine the polarity of information, either positive or negative, toward a given topic, including opinions. In this research, we have introduced a machine learning approach based on Support Vector Machine (SVM), Naïve Bayes (NB) and Random Forest (RF) classifiers, to find and classify extreme opinions in Arabic reviews. To achieve this, a dataset of 1500 Arabic reviews was collected from Google Play Store. In addition, a two-stage Classification process was applied to classify the reviews. In the first stage, we built a binary classifier to sort out positive from negative reviews. In the second stage, however we applied a binary classification mechanism based on a set of proposed rules that distinguishes extreme positive from positive reviews, and extreme negative from negative reviews. Four major experiments were conducted with a total of 10 different sub experiments to fulfill the two-stage process using different X-validation schemas and Term Frequency-Inverse Document Frequency feature selection method. Obtained results have indicated that SVM was the best during the first stage classification with 30% testing data, and NB was the best with 20% testing data. The results of the second stage classification indicated that SVM has scored better results in identifying extreme positive reviews when dealing with the positive dataset with an overall accuracy of 68.7% and NB showed better accuracy results in identifying extreme negative reviews when dealing with the negative dataset, with an overall accuracy of 72.8%.
Development of Violin-Playing Robot

We are developing an anthropomorphic robot that can play the violin that can communicate with humans through its expressive performance. Violin performance can be divided into two tasks: bowing and fingering. This report introduces a new right hand for bowing. Previously, the bow was rigidly fixed to the right hand, which causes the vibration of the bow during the bowing. The vibration alters the bow force, which degrades the quality of the produced sounds. Thus, the new right hand that can reduce the vibration must be developed to produce sounds with good quality. We fabricated a new right hand with a soft material and confirmed that it can reduce the alternation of bow force.
Addressing Social Issues Through Immersive Media

This chapter presents a theoretical framework for analyzing and designing immersive stories that address social issues. It starts by offering a definition of immersive media and introduces the theoretical concepts of presence, social cognitive theory, and the Proteus effect as they relate to immersive storytelling. After outlining the theoretical framework, the chapter presents recommendations for applying immersive storytelling to social issues.
Brightening the Low-Light Images via a Dual Guided Network

Illumination estimation based on the retinex theory is quite challenging in low-light image enhancement, and thus reflectance adjustment is necessary after illumination removal. In this paper, we propose a dual guided network to address low-light image enhancement. To be concrete, in the first stage of the method, a depth guide is introduced to constrain illumination. Based on their similarity of the smoothness, the accuracy of illumination estimation is improved. For the second stage, an attention guide is injected towards reflectance adjustment to obtain the final enhanced result. Through the guide of the attention module, details and color information lost when removing illumination can be well supplemented. Extensive ablation studies show the effectiveness and rationality of the proposed depth guide and attention guide. Qualitative and quantitative experiments demonstrate our superiority against existing state-of-the-art methods.
A Study on Peter"s Preaching in Acts 2

사도행전 2장에서 베드로는 오순절에 성령의 충만함을 받아 예수그리스도의 복음을 선포했다. 베드로의 오순절 설교는 초대교회 복음 선포의 전형이다. 이 설교를 통해 부활하신 예수님이 “주와 그리스도” 되심이 선포되었고, 이 설교를 원형으로 이후에 바울과 다른 전도자들이 예수 그리스도의 복음을 선포했다. In Acts 2, Peter was filled with the Holy Spirit on the day of Pentecost and proclaimed the gospel of Jesus Christ. Peter"s sermon on the day of Pentecost is the prototype of the preaching of the gospel in the early church. Through this sermon, the resurrected Jesus was proclaimed as “Lord and Christ”, and after this sermon, Paul and other evangelists proclaimed the gospel of Jesus Christ.
Khon Gesture Detection with Deep Learning Algorithms

This research aims to develop a Khon gesture detection with deep learning algorithms. Thai traditional art culture of “Khon” was used. The main contribution of this research was to develop an algorithm for retrieving information from image for telling story inside that image. The interesting information inside the image will be retrieved to present to the interested people who is interested in its contents. The development consists of telling stories from image. The appearance of the shape inside image can be used to distinct characteristics of image such as type or characteristic of image. The type was created including the story of Thai traditional art culture of “Khon” through the learning of machine learning and image processing. The classification result for classifying gesture of Khon was conducted. We tested the purposed algorithms by using deep learning algorithms compared to other classification methods. The experimental results were evaluated with images from Khon’s performance in Thailand. The accuracy of purposed method gives 89.84%. From the results, we found that the purposed method gives more accuracy compare to the other methods.
Research on UAV Smooth Path Planning Method Based on Improved Ant Lion Algorithm

UAV path planning is a key part of UAV's realization of intelligence. In the actual three-dimensional flight environment, it will be subject to many constraints, including the influence of terrain and obstacles and the constraints of the flight dynamics of the aircraft itself. In addition, the three-dimensional environment is more complicated than the two-dimensional environment. The traditional ALO algorithm is not satisfactory in the three-dimensional path planning, and it has defects in both the optimization efficiency and the optimization ability. In response to these problems, firstly, a dynamic convergence adaptive weight (DCAW) factor is proposed to improve the Antlion position update method, so that the explored path can maintain the optimal path; secondly, in order to reduce the amount of calculation, a chaotic search is proposed to replace the random walk of ants; finally introducing the B-spline curve smooth path design theory to smooth the optimized path can obtain a smooth and optimal path suitable for UAV flight. And the simulation results prove the feasibility and superiority of the improved algorithm.
Vékony lemez görbületének mérése digitális képfeldolgozás segítségével

The verification of different plate bending problems require a punctual measurement method of the bent shape.However, with a proper curvature measurement procedure the calculations can be made more accurate.This is due to the workaround this method provides by neglecting the inaccuracies of the beam theory and the tensile tests, measuring directly the function between the curvature and bending moment for a given sheet metal.The measurements in this paper are made with the help of a digital camera and telephotographic lens.The evaluations of these images are compared to the results obtained from the Euler-Bernoulli beam theory.While the results regarding the curvature measurements have a significant deviation, the shape of the plate is in good agreement with the numerical calculations.
Long-term condition monitoring using wearable sensors and IoT-based applications

Chapter Contents: 7.1 Introduction 7.2 Overview of wearable sensor and IoT systems for older adults with long-term conditions 7.3 System overview and challenges 7.4 Evaluations and results 7.5 Discussion, challenges and conclusions Acknowledgments Conflict of interest statement References
Implicit Business Competitor Inference Using Heterogeneous Knowledge Graph

Competitor inference is the task of identifying current or potential competitors given their primary markets and Business Scope. Previous methods have achieved remarkable success on explicit competitor inference using state-of-the-art natural language processing (NLP) techniques, mainly relying on comparative expressions. However, those methods lack interpretability and cannot identify implicit competitors without the explicit mentions of competitive relationships in the text. To remedy these problems, in this paper, we propose a probabilistic graphical model which leverages heterogeneous enterprise knowledge graph containing both structured information, e.g., Product Analysis, Sales Territory, and unstructured information, e.g., Business Scope. The model is defined with first-order logic rules using the declarative language of Probabilistic Soft Logic (PSL). As a result, our model enables predicting implicit competitors while provides pieces of interpretable evidence. Experimental results show that our approach is significantly superior to previous methods.
Study on Epistemic Modality: Focusing on Learner Corpus and Native Speaker Corpus

The study aimed at investigating how Korean EFL writers employed epistemic modality in comparison with native speakers. For the study, the learner corpus (LC) and native speaker corpus (NSC) were created. The analysis focused on three categories: the overall frequency of epistemic modality, grammatical distributions, and semantic categories. The results of the study revealed that the overall frequency of epistemic modality in two corpora was similar, overlapping 6 top ten items. However, the close look at each frequency showed that Korean EFL writers employed a more restricted range of items, relying on the expressions of certainty and possibility. With regards to grammatical distributions, each group exhibited different ranges and frequencies of devices; while native speakers preferred adverbs, Korean EFL writers tended to favor modal verbs. Regarding semantic categories, Korean EFL writers preferred firmer assertion with the expression of certainty. Nevertheless, native speakers tended to favor more tentative expressions with the expressions of probability and doubt. Based on the results of the study, pedagogical implications were finally discussed.
Managing Information Technology (IT) Security and Risk

Data and information are a valuable and very vital aspects and components of any present organization in the age of technology. It is an undeniably beneficial resource which enhances the quality of activity of any organization in terms of perfection, effectivity, timeliness etc. Therefore, there is a prominent and eminent requirement to have an adequate risk management process and techniques in place so that the risk of any threats can be immediately arrested and seized without causing any impairment or damage to the health of the organization.
Image Trace

In this chapter, you learn how to use the Image Trace panel to clean up your artwork and look at options for tracing with the Control bar and Image Trace panel.
HFM++: An Enhanced Holographic Factorization Machine for Recommendation

Recommender systems are essential and are playing a more and more important role in our daily life, ranging from entertainment to online shopping. They have great commercial value, not only can improve the user experience by saving users time to locate related items, but also increase the exposure rate of long-tail items. Factorization machines (FMs) have been serving as an effective go-to recommender algorithm for years. Yet, it is not without disadvantages, such as mediocre performances. In this paper, we propose an enhanced factorization model, namely, enhanced holographic factorization machines (or HFM++). Our model integrates a Restricted Boltzmann Machine (RBM) and a generalized matrix factorization (GMF) into holograph FM, resulting in a more powerful recommendation model that inherits the benefits of all these three models. To evaluate the effectiveness and accuracy of HFM++, we conduct experiments with several well-known public benchmarking datasets and compare them against a number of baseline models. The experimental results show that HFM++ obtains the best performances across all metrics, outperforming recently published baselines.
Law, technology and healthcare

The regulation of technology is an important and topical area of law, relevant to almost all aspects of society. Technology Law: Australian and International Perspectives presents a thorough exploration of the new legal challenges created by evolving technologies, from the use of facial recognition technology in criminal investigations to the rise and regulation of cryptocurrencies. A well-written and fascinating introduction to technology law in Australia and internationally, Technology Law provides thorough coverage of the theoretical perspectives, legislation, cases and developing issues where technology and the law interact. The text covers data protection and privacy, healthcare technology, criminal justice technology, commercial transactions, cybercrime, social media and intellectual property, and canvasses the future of technology and technology law. Written by leading experts in the field, Technology Law is an excellent resource for law students and legal professionals with an interest in the area.
PENGARUH PENGGUNAAN MODEL COOPERATIVE LEARNING TYPE THE POWER OF TWO BERBANTU VIDEO INTERAKTIF TERHADAP HASIL BELAJAR AKUNTANSI KELAS X SEMESTER GENAP SMK MUHAMMADIYAH 1 METRO TAHUN PELAJARAN 2018/2019

The problem in the research conducted by researchers, namely "There Are Many Students Who Have Not Experienced in Complete Learning Outcomes of Learning Outcomes of Students in Class X Metro Muhammadiyah 1 Metro Year 2018/2019 Academic Year". From the problem, eating the problem statement is "Is There an Effect of Cooperative Learning Type Model Strength Two Helping Interactive Videos Against Accounting Learning Outcomes of Students of Class X Metro Muhammadiyah 1 Metro Year 2018/2019 Academic Year"? The purpose of this study was to determine the effect of using the Cooperative Learning Model Type The Power of Two Helps Interactive Videos Against Accounting Results in Class X of the Muhammadiyah Metro 1 Vocational High School 2018/2019 Academic Year. So the hypothesis in this study is as follows: "There is the influence of the use of Cooperative Learning Learning Type Strength Type Two Helps Interactive Videos Against Accounting Results in Class X of Muhammadiyah 1 Metro Vocational Middle School 2018/2019 Academic Year".&#x0D;
Study on Reform of Electronic Technology Experimental Teaching under Background of “New Engineering”

To meet the requirements for the cultivating of the high-quality engineering talents for the development of the “new engineering”, the college’s electronic information majors develop the teaching reforms of the electronic technology experiment based on the overall planning and development of the professional construction, and explore the cultivation of the active learning ability and practical innovation capability of the students under the development of the “new engineering ”, which is able to provide the support for cultivating the high-level engineering and scientific talents. This paper explores and reforms the electronic technology experimental teaching from the aspects of the experimental teaching system, teaching content, teaching methods, teaching process, teaching assessment and teacher construction, which can propose the new ideas for the construction of the electronic technology experimental courses adapted to the development of the “new engineering”. The proposed teaching reform can further improve the quality and effect of the experimental teaching and improve the students’ capability of solving the practical engineering problems, teamwork, technical communication and independent innovation, which explores a new way of the deep chemical engineering experimental teaching reform based on the concept of the “new engineering”.
SIGNIFICANCE OF MULTI-MODAL BIOMETRICS IN DIGITAL ECONOMY

Securing information is a prevailing challenge these days. Smart devices are increasingly relying on the internet and wireless networks. The data is stored on remote servers. The main problems are security theft and unauthorised access to a person&apos;s private data. Biometric systems provide the best authentication. A variety of biometrics are being used, such as finger sensors and digital signatures. A multimodal biometric system combines more traits and provides maximum accuracy in authenticating the users. The aim of this survey is to delineate the importance of using multimodal biometrics. Getting illegitimate access in unimodal biometric systems is easy, but multimodal biometric systems need more effort to break into the system. A digital biometric system works on the physiological and behavioural characteristics of an individual. It determines identification through automated technology. Many companies are investing large amounts in multimodal biometric systems and they are mostly being used in IoT devices for security purposes. An economy based on digital computing technologies is a digital economy and multimodal biometric systems are enhancing it. Multimodal biometric systems have a competitive advantage over conventional passwords and unimodal biometric systems. The paper will provide information for researchers constructing multimodal biometric systems.
Parallel Generation of Random Numbers Using a Broad-area Stable-cavity Semiconductor Laser

We demonstrate ultrafast random bit generation using spatio-temporal interference of many modes in a specially-designed laser diode. Our scheme produces 127 bit streams in parallel at a total bit rate of 250 terabits per second.
Configuration-time-space for Motion Planning in Dynamic Environment

A robot in a dynamic environment needs to avoid static obstacles and perform motion planning while considering dynamic obstacles. This paper presents a Configuration-time-space (C-time-space), in which time-series information is added to the configuration space (C-space). The C-time-space is represented by the mapping position and joint displacement of the robot at each time in the generalized coordinate space. Motion planning using the C-time-space can generate a trajectory that avoids dynamic obstacles. The experimental evaluation results indicate that compared to the conventional method, the trajectory distance of the robot arm can be shortened in environments where dynamic objects exist using the proposed method.
The digital solution development process in health about the stroke

Background: Stroke is one of main causes of morbimortality in Brazil, even though it has prevention and care strategies, showing need to improve strategies1 . Digital Health Solutions (DHS) can implement stroke prevention strategies, strengthening patient care and management2 . Objective: To describe initial process of developing DHS with stroke theme (ST) based on public research. Methodology: Cross-sectional study based on form with 12 questions, which outline a profile of users about DHS with ST. Form was aimed at people over 18 year-old who did not have an academic background in human health. Study carried out by the Google Forms® between January and April 2021. Results: With 80 participants, 51.2% women and 48.8% men. 20% under 20 years, 73.8% between 20 and 40, 2.5% between 40 and 60, and 3.7% over 60 years. 62.4% seek knowledge about health from unofficial sources. 62.5% report they rarely seek health information. 67.5% do not have knowledge to detect stroke. Although 32.5% have a DHS on their phones, 97.5% consider it important to learn about stroke in DHS, and 83.8% are interested in it. 55% would use it to recognize a stroke, 25% to have prevention information, 8.8% to use it in urgency, and 11.2% marked three items. 85% never used DHS with ST. Conclusion: Findings shows DHS with ST would educate in health and help people with suspected stroke. DHS would assist in creation of health promotion and stroke prevention.
Summability

Summability Theory deals with the assignment a sum to a divergent series or a limit to a divergent sequence. The basics of Summability Theory are given in this chapter. Cesaro Summability is studied in some detail. It is an example of a Matrix Summability Method. The Silverman–Toeplitz Theorem, which characterizes Matrix Summability Methods that sum all convergent series, is proven. Also, the Abel Summability Method, which is not a Matrix Summability Method, is studied.
Artificial intelligence: a new educational challenge

Rapid development of Artificial Intelligence is influencing most of the human’s domains. It impacts our reality in quantitative and qualitative way. This situation is challenging, also for the educational system – in many aspects. Analysis of this situation in the educational context is important and urgent matter. In the article author is attempting to explain and to structure the problem, pointing out, both chances and the threats, of the phenomenon, focusing on the area of educational content the measures.
API Recommendation Based on WII-WMD#

Improving software development efficiency based on existing APIs is one of the hot researches in software engineering. Understanding and learning so many APIs in large software libraries is not easy and software developers prefer to provide only requirements descriptions to get the right API. In order to solve this problem, this paper proposes an API recommendation method based on WII-WMD, an improved similarity calculation algorithm. This method firstly structures the text, and then fully mines the semantic information in the text. Finally, it calculates the similarity between the user's query problem and the information described in the API document. The experiment results show that the API recommendation based on WII-WMD can improve the efficiency of the API recommendation system.
How Can We Help the Internet to Bring Out the Best in Us All?

Revisits the previous topics (community, collaboration, knowledge building, identity, behavior management, and market forces) and explores what constructive steps are possible for members of online sites, and for designers of those sites, to make the internet better. Education is another important missing ingredient. To understand the internet, people need a more nuanced understanding of the nature of knowledge, free speech, and more.
Logic Is Computation

This chapter draws examples from Wadler’s paper [] to demonstrate the correspondence between natural deduction for intuitionistic logic and simply-typed \(\lambda \)-calculus—both concepts are built upon previously discussed topics. We also give examples in a programming language to help the reader relate logic to program code.