Reviewerly/exHarmony huggingface dataset:
Promoting empathy through virtual reality experience: the case of sexual harassment

Introduction: In the past decades, Virtual Reality (VR) has been exponentially adopted in clinical psychology for treating several psychological disorders and promoting well-being. VR is an advanced form of human-computer interface that allows the user to interact with and be present into a 3-D environment in a naturalistic manner. The use of VR has expanded to simulate not only the external world, but also the body experience, giving the illusion to embody a “virtual” body. When this illusion is successfully induced, the participant can perceive themselves as another person and feel the emotions of the embodied body. This model has been adopted to study empathy such as in sexual violence context to induce a change in men's perspective, and empathy.Objective: This doctoral thesis aims to achieve three general objectives: (1) to review and meta-analyze the existing literature on VR and empathy; (2) to investigate the effectiveness of a VR system based on a 360° video to induce the illusion of body swap with the (a) same gender, and (b) different gender; (3) to generate a 360° video on sexual harassment recorded from the perspective of a victim woman, and to test whether it induces positive changes in empathy, and decreases the violent attitude variables.Method: The meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-analysis method; the 360° video was recorded from the first-person perspective and compared with a non-invasive video; a 360° video was recorded from the perspective of a woman who was a victim of harassment, and compared with a narrative (counterbalanced design).Main results: The meta-analysis included 7 articles with a total of 335 participants, the effect size of empathy was d+ = .44 and of perspective-taking was d+=.51. The embodiment study: (a) 42 participants participated in the study. The analysis showed significant results on the sense of embodiment for the same gender: ownership p = .003; agency, p < .001; location p = .013. (b) 46 male participants participated in the study. The analyses showed significant results for the sense of location p < .001, and property, p < .001, but not for agency p = .222. Study on sexual harassment: 44 male participants participated in the study. The main results were the carry-over effect for the 360° video data, namely the sense of empathy is significant when the 360° condition is presented first (p = .030), also for the perspective-taking variable; p = .012.Discussion: This doctoral thesis showed that VR could positively change empathy, and in particular the 360° video based-VR can be an effective tool to generate the body's illusion, and consequently changing the sense of empathy towards the other person.
Petrochemical features of granite-gneisses of the Nikolaishor massif (Subpolar Urals)

The Nikolaishor massif is located within the heavily eroded gneisses of the Nyarta metamor¬phic complex and is an au-tochthonous massif composed of plagiogranites and kalispartic granites. The conducted petrochemical study of the least modified variety of granites of this massif made it possible to identify the petrochemical features of the studied rock, as well as to determine the geodynamic conditions for the formation of the Nikolaishor massif. According to the results of the silicate analysis, granites are high-alumina leucogranites of the potassium-sodium type. The initial substrate for the stud¬ied rocks was presumably magmatic protolith. Based on the ICP-MS analysis data, various in-dicator ratios were calculated for the granites. The obtained indicators allowed us to conclude that the rocks under consideration were formed from melts enriched mainly with light TR, which belong to a deep crustal type source. Comprehensive study of multivariate discrimi¬nant analysis indicators for the main elements of S. Agrawal, as well as diagrams of J.A. Pearce, D. Papu, N.B. Harris, showed that the rocks of the Nikolaishor massif are syncollisional granites formed in the Late Orogenic time.
A Study on the Cyber-Crime and Cyber Criminals: A Global Problem

Cybercrime has caused a great deal of harm to people, organisations and even the government today. In order to deter and defend data from such threats, cybercrime prevention techniques and classification methods have achieved differing degrees of effectiveness. In order to deter cyber crime, many regulations and methods have been enforced and the sentences are laid down on the perpetrators. The report, however, reveals that even today, there are many nations facing this crisis, and over the years, the United States of America is contributing to maximum harm due to cybercrimes. According to the latest survey carried out, it was noted that the monetary damage in 2013 was almost US$ 781.84 million. This paper explains the general environments in which cybercrime typically happens and the various forms of cybercrime currently conducted. The paper also illustrates the research performed on email-related offences, as email is the most popular medium for cybercrimes. In addition, it also sets down some of the case studies relevant to cybercrime.
Human noise at the fingertip: Positional (non)control under varying haptic × musical conditions

As technologies and interfaces for the instrumental control of musical sound get ever better at tracking aspects of human position and motion in space, a fundamental problem emerges: Unintended or even counter-intentional control may result when humans themselves become a source of positional noise. A clear case of what is meant by this, is the âstillness movementâ of a body part, occurring despite the simultaneous explicit intention for that body part to remain still.In this paper, we present the results of a randomized, controlled experiment investigating this phenomenon along a vertical axis relative to the human fingertip. The results include characterizations of both the spatial distribution and frequency distribution of the stillness movement observed.Also included are results indicating a possible role for constant forces and viscosities in reducing stillness movement amplitude, thereby potentially enabling the implementation of more positional control of musical sound within the same available spatial range.Importantly, the above is summarized in a form that is directly interpretable for anyone designing technologies, interactions, or performances that involve fingertip control of musical sound.Also, a complete data set of the experimental results is included in the separate Appendices to this paper, again in a format that is directly interpretable.
KAJIAN KERUSAKAN DAN KERUNTUHAN TUBUH BENDUNGAN AKIBAT PENGARUH BANJIR (STUDI KASUS : BENDUNGAN CIPAMINGKIS KAB. BOGOR)

Land use in the vicinity of Cipamingkis Sub-watershed is currently very intensive, so that damage to land which is feared has an impact on the level of fertility and carrying capacity of the land, resulting in the danger of flooding, erosion and landslides in the rainy season, as well as a decrease in water discharge and lack of groundwater in the season dry. The impact of these conditions Cipamingkis Weir in Sukasirna Village, Jonggol District on April 20, 2017 there was a breakdown of the lighthouse and the body of the weir which was built since 1982, the dam irrigated 4579 Ha of rice fields, unable to irrigate and in the lower reaches of the dam a lot of damage, including: eroded riverbanks, damaged river cliffs, and part of the land cracked and landslides.Seeing the condition needs to be made a research on Cipamingkis Dam Damage Study. This handling is urgently needed to reduce and reduce the consequences caused in the process of activities that cause erosion and flooding.
Interdependencies between Mining Costs, Mining Rewards and Blockchain Security

This paper studies to what extent the cost of operating a proof-of-work blockchain is intrinsically linked to the cost of preventing attacks, and to what extent the underlying digital ledgerâ€™s security budgets are correlated with the cryptocurrency market outcomes. We theoretically derive an equilibrium relationship between the cryptocurrency price, mining rewards and mining costs, and blockchain security outcomes. Using daily crypto market data for 2014â€“2021 and employing the autoregressive distributed lag approach â€“ that allows treating all the relevant moments of the blockchain series as potentially endogenous â€“ we provide empirical evidence of cryptocurrency price and mining rewards indeed being intrinsically linked to blockchain security outcomes.
Cameras and Layers

There are a few improvements you can make to the game in terms of how you organize game objects into the game world. The game places objects directly on the screen by using screen coordinates to position objects and then simply renders the objects in place with no further transformation needed besides a simple scaling effect when some sprite objects are simply too big. While this works reasonably well for a simple game, it adds the complexity of bringing objects into the screen as the game evolves. The choppers and turrets, for example, must be spawned just off screen and then moved into position to create the illusion that the player is continuously moving up through the level. Furthermore, spawning objects off screen becomes more difficult if you add the ability to change the resolution at which your game is rendered. The x = 1,500 axis might be off screen if the screen resolution is 1280 x 720, but not if it is 1920 x 1080.
The Values of the Beginning Teacher

Values are passed on both through the family and the school. The degree of opportunity, necessity or utility of a thing determines its value. The family and the school teach the child, what are the most important values, according to which he must lead his life. The teacher must always be a model of honest behaviour.
Real time Face Detection

Face detection puts forth a challenging problem in the field of Computer Vision. Detecting faces in real time have many applications especially in the safety and security domain. The primary aim of Face detection algorithms is to detect faces in an image or in a video stream successfully so that they could be further used for applications such as Face recognition. Object detection systems developed traditionally have had a lot of success in detecting objects such as humans, cars, buildings etc. but real time face detection presents a new challenge. In this paper, we provide efficient and robust face detection algorithms which adapt to real-world situations like the face being in poor light conditions, multiple faces in a window, pose, different orientations, varied expressions, to detect faces with maximum accuracy.
Aggregating User-Centric and Post-Centric Sentiments from Social Media for Topical Stance Prediction

Conventional opinion polls were usually conducted via questionnaires or phone interviews, which are time-consuming and error-prone. With the advances in social networking platforms, it’s easier for the general public to express their opinions on popular topics. Given the huge amount of user opinions, it would be useful if we can automatically collect and aggregate the overall topical stance for a specific topic. In this paper, we propose to predict topical stances from social media by concept expansion, sentiment classification, and stance aggregation based on word embeddings. For concept expansion of a given topic, related posts are collected from social media and clustered by word embeddings. Then, major keywords are extracted by word segmentation and named entity recognition methods. For sentiment classification and aggregation, machine learning methods are used to train sentiment lexicon with word embeddings. Then, the sentiment scores from user-centric and post-centric views are aggregated as the total stance on the topic. In the experiments, we evaluated the performance of our proposed approach using social media data from online forums. The experimental results for 2016 Taiwan Presidential Election showed that our proposed method can effectively expand keywords and aggregate topical stances from the public for accurate prediction of election results. The best performance is 0.52% in terms of mean absolute error (MAE). Further investigation is needed to evaluate the performance of the proposed method in larger scales.
Automated Driving – How cloud infrastructure plays a vital role in future of validation for Automated Driving?

It has felt like Covid-19 had a stranglehold on us. But we haven‘t allowed ourselves to be defeated. On the contrary, we are taking advantage of the opportunities that arise as a result. Not only the long-overdue push towards digitalization, for example, but also the time gained by making fewer journeys. Those who show strength now and position themselves for the future will win. And that is exactly the reason why we have been preparing ELIV 2021 with such a lot of enthusiasm.
The Art of Reasoning

In this chapter, we elaborate the art of formal reasoning as the basis of precise argumentation. We start by discussing the general concept of a ‘proof’ as an irrefutable argument why a particular statement is true. We then discuss the formalization of this concept by ‘proof trees’, i.e., by derivations in a system of inference rules. The focus of this chapter is on a proof system for first-order logic, which is presented both in a formal style (as is required for computer-supported proving) and in an informal style (as is typical for mathematical texts). Finally we summarize various forms of the proof principle of ‘induction’, which is of fundamental importance in computer science where inductive structures play a major role.
Klasifikasi Komentar Mengenai Politeknik Caltex Riau Menggunakan Algoritma Naive Bayes Dari Media Sosial Instagram

Instagram Politeknik Caltex Riau is one of the social media used by the Riau Caltex Polytechnic for media promotion of various activities, achievements and other matters related to the Caltex Riau Polytechnic. Instagram Politeknik Caltex Riau was created in 2015. Of the various posts on the @politeknikcaltexriau account, there are many comments that are critical, input, and questions. So that these comments can be used by the Riau Caltex Polytechnic by classifying comments based on the categories needed by the Caltex Riau Polytechnic. Therefore, we need a system that can perform the comment classification process using text mining that utilizes the Naive Bayes algorithm. With this system, it is expected to know the percentage and pattern of public comments on the @politeknikcaltexriau account per category and the trend of comments in certain months. Based on the results of tests carried out on the classification system that was built, using blackbox testing, it was found that 100% of the system's functionality was running well. Furthermore, text mining techniques and the Naive Bayes algorithm have been successfully adapted to this system in categorizing Instagram comments on the @politeknikcaltexriau account. The system has been tested for functionality and has an average accuracy of 72.911%.Keywords: comment classification, text mining and naive bayes
Research on Intelligent Forecasting of Financial Market Parameter Time Series Based on Deep Learning

Objectives: Deep learning has become the most representative and potential intelligent system modeling technology in artificial intelligence. However, the complexity of financial markets goes far beyond all economic games. Methods: This paper is devoted to the feasibility and efficiency of the deep-integration neural network model as one of the main paradigms of in-depth learning in the intelligent prediction of financial time. A prediction model of stack self-coding neural network composed of bottom stack self-coding and top regression neurons is proposed. Results: Firstly, the self-encoder unsupervised learning mechanism is used to identify and learn the time series, and the layers of the neural network are learned greedy layer by layer. Then the stack self-encoder is extended to the SAEP model with supervised mechanism, and the parameters learned by SAE are used. Used to initialize the neural network, and finally use the supervised learning to fine-tune the weights. Conclusion: The research results show that the model provides effective financial planning and decision-making basis for financial forecasting, maintains the healthy development of financial markets, and maximizes the benefits of profit-making institutions.
Factors Affecting Students’ Understanding of the Quality of Higher Education

Students are the main stakeholders in the higher education area so their involvement is closely related to the quality of higher education. There are a lot of factors that affect the understanding of the quality of higher education. Factors are used for quality planning, assessment, assurance, control, improvement etc. The research question is: what factors affect students’ understanding of the quality of higher education? The research was conducted in two stages. During the first stage of the research, the concept of the quality of higher education was analysed by using literature review and focus group discussion. During the second stage, a questionnaire was developed and students of the Faculty of Engineering Economics and Management of Riga Technical University (RTU FEEM) were surveyed, the results of students’ survey were analysed by using Spearman rank correlation. The research shows that there are three groups of factors that affect students’ understanding of the quality of higher education: factors related to the study process (SP), support and resources (SR), and external factors and results (EFR). As a result of correlation analysis, SP factors have more internal correlations within the group, while SR and EFR factors more correlate with each other. The most significant factors that affect students’ understanding of the quality of higher education are the quality of educational content and professors’ competence. Some trends were observed: (1) factors with a small number of correlations have more internal correlations than intergroup correlations; (2) the more important is the factor, the greater is the number of relationships, and vice versa; (3) the more important is the factor, the closer are relationships, and vice versa. There is one exception recognised in the research: although the factor ‘Quality of educational content’, according to the students, is the most important factor, the correlation analysis shows that it has no statistically significant correlations with other factors.
Apply with caution! The contingent effect of blockchain-enabled governance on trust

Workplace surveillance is a classic management activity in public and private organizations. Employers have long used various surveillance methods in different forms to ensure workplace safety and product/service quality, enhance process efficiency, reduce transactional cost, training and safeguarding organizational interests. Technology advances have generally facilitated surveillance and created new opportunities for electronic monitoring in government. But it has also intensified the surveillance context of the work environment, which can have negative impacts on employee satisfaction, motivation, and job performance. This chapter examines advances in digital surveillance as well as the research on the ethics and implications of digital workplace surveillance for employees' privacy, motivation, and performance. Special attention is given to how innovative surveillance techniques that are changing the workplace environment. Based on this review, the chapter suggests future research.
A Secure Mixed Reality Framework for the Internet of Things

Regardless of the rapid developments in the Internet of Things (IoT) world, its integration into our daily lives has been trailing slowly. We believe that the issue stems from vendor-specific products, restricting customers to their proprietary software and limiting interoperability across vendors. In our earlier research, we proposed a Mixed Reality Control Panel (MRCP) framework to tackle this gap. By offering a vendor-neutral, open-source, cross-platform, mixed reality (MR) software allowing users to seamlessly interact with headless IoT devices. The MRCP application, Smart Parking Meter, and Smart Lock were developed within this framework, as proofs of concepts. In this work, the proposed system’s efficiency to perform each action is compared against existing solutions, as well as the benefits of additional smart features. Showcasing how an MR interface allows for quick interaction with IoT devices. Early development decisions on being cross-platform and vendor-neutral allow for future scalability. Development took place in the networking aspect by implementing a smart parking solution for the parking meter. As well as strengthening its security by performing an attack against the system and developing a countermeasure to patch it. Concluding that both devices under the MRCP system are viable solutions for future smart city integration.
Geological environmental factors of resident’s cancer distribution in Beijing-Tianjin Corridor

The corridor region between Beijing and Tianjin in China belongs to the alluvial and proluvial sedimentary plains of different water systems, and the social economy is very developed. By personally interviewing local villagers, the author obtained data on cancer morbidity and mortality at the village level. Using GIS operating platform, the author makes contour map, its value ranges from 10/10,000 to 100/10,000 and has significant zonal distribution characteristics. The authors analyzed the relationship between cancer distribution and natural geography, soil and hydrogeochemical data in the region, the results showed that there was a significant negative correlation (n=222, γ0.05=0.163): shallow water level buried depth -0.4218, surface soil pH-0.3702, altitude elevation -0.3448, surface soil SiO2-0.3158, significant positive correlation: surface soil Pb0.5769, Cd0.4629,deep soil (-1.3m) N0.5518, Hg0.4321, surface soil Mo0.3486, Cu0.3340, As0.3234, Fe2O30.2913, Mn0.2906,U0.2882, F0.2833, shallow groundwater NH4-N0.2768, surface soil V0.2835, Ni0.2707, F0.2604, Cr0.2460, Tl0.2241, shallow groundwater As0.2199,Cd0.2109, NO30.1644. According to the characteristic pollutant frequency table of 340 key industries in Langfang area, the correlation coefficient of organic pollutants and mercury was calculated: benzopyrene 0.4723, pyridine 0.1551, formaldehyde 0.1371, dioxin 0.1138.Based on the results of this study, the authors established a mode chart of the relationship between geochemical anomalies (contamination sources) of soil waters- geotechnical hydrological conditions (migration pathways)-resident cancer distribution (sensitive receptors).
Improving the Competence of Teachers in Higher Educational Institutions through the Introduction of Automated Intelligent Systems

In this article that significant successes have been achieved in the implementation of learning management algorithms, ensuring dialogue interaction in the educational process. The development of computer technology provides great opportunities for modernizing the learning process. Many new concepts have entered modern practice: a single educational space, a single educational information environment, a virtual university, massive open online courses.