Reviewerly/exHarmony huggingface dataset:
Shadows in the Cave. Revisiting Rosengren’s Doxology

Caves, images, and symbols are recurring topics in the work of Mats Rosengren, from his reading of Plato in his dissertation Psychagōgia – Konsten att leda själar, to his investigation of the world of paleolithic cave art in Cave Art, Perception and Knowledge. While other philosophers might have descended into the cave with the aim of guiding visitors back up into the blinding light of eternal truths, Rosengren seems to be at home in the underworld. Instead of dismissing the paintings that adorn its walls as merely shadowy copies or distorted images, or claiming that the truth of these pictures is readily available to us, Mats Rosengren invites any traveler joining him to understand them as different forms of sensemaking, forms which at first might appear foreign, but that, upon closer inspection, reveal themselves in all their complexity. In this volume, the contributors take on some of the key themes found in Rosengren’s work, mirroring the stylistic, generic, and topical range that characterizes it. The volume is titled “Shadows in the Cave”, signaling a focus not on eternal truth, but – alluding to Plato – on the shadowplay of our human caves.
Class Case Study Using the Metaverse Platform in 〈Reading Classics〉

The purpose of this study was to explore the functional aspect that can strengthen the sense of solidarity between learners by using the metaverse platform in the &lt;Reading classics&gt; class, and the learning aspect of completing a creative work based on a classics text. In addition, the metaverse platform ‘ZEPETO’ was used as a methodology.First of all, this study described how the textbooks that learners read in the field lectures go through the understanding and deepening process. Next, this paper describes a method that students can use to improve intimacy and teamwork through a meetings using ZEPETO. Finally, examples of videos produced by learners in the classes of 『Orientalism』 and 『Crime and Punishment』 were introduced to examine what kind of perspective students have on the original text and whether they are demonstrating their creative imagination.There are two things that we hope to confirm through the analysis of this paper. First, whether students can engage in various levels of participation in the process of producing cartoons, music videos, and audiovisual materials using the ZEPETO ‘Situational Drama’ platform. Second, whether learners can go beyond their ability to read classics and write assignments based on such texts, to something they can also see, read, and hear.
Litho-Structural and Metallotectic Context of the Mineralization of the Tondabo Gold Prospect (Brobo, Center of Côte d’Ivoire, West Africa)

Rhyodacite and mafic volcanics are the principal hosts of the gold mineralization at the Tondabo prospect, which is located in the northern portion of the Oume-Toumodi-Fettekro greenstone belt (volcanic lavas and volcanoclastites). These rocks underwent a hydrothermal alteration that was characterised by quartz veins and veinlets containing carbonates, sericite, epidote, and sulphide crystals. By silicifying, chloritizing, carbonating, and sericitizing the feldspars, this hydrothermal alteration brought about a ubiquitous alteration of the nearby bodies. Pyrite is prevalent in the metalliferous paragenesis, but pyrrhotite and chalcopyrite are rare. This mineralization suggests that lithological control is present at the Tondabo gold potential. To further understand the features of the Tondabo mineralization, our work combines results from lithostructural analysisand gold analyses. The mineralized deposits are generally affected by a S1 schistosity oriented mainly N000-010\(^{\circ}\) and minority N040-050\(^{\circ}\) with a general dip of 60\(^{\circ}\)- 80\(^{\circ}\) to the West; however with rare N-S orientations with a dip of 60\(^{\circ}\)- 80\(^{\circ}\) to the East. Drilling intervals reveal that the quartz-carbonates veins and veinlets that are found in the highly deformed zones that constitute local shear zones are associated with the highest gold concentrations.
Performance Comparison of TTS Models for Brazilian Portuguese to Establish a Baseline

This paper compares the performance of three text-to-speech (TTS) models released from June 2021 to January 2022 in order to establish a baseline for Brazilian Portuguese. Those models were trained using dataset for Brazilian Portuguese. The experimental setup considers tts-portuguese dataset to fine-tune the following TTS models: VITS end-to-end model; glowtts and gradtts acoustic models both using hifi-gan vocoder. Performance metrics are arranged into objective and subjective metrics. As subjective metrics, the naturalness and intelligibility are measured based on the mean opinion score (MOS). Results shows that gradtts+hifigan model achieved naturalness of 4.07 MOS, close to performance of current commercial models.
Bilingual Asr Model With Language Identification for Brazilian Portuguese and South-American Spanish

This paper documents the development of a special case of multilingual Automatic Speech Recognition model, specifically tailored to attend two languages spoken by the majority of Latin America, Portuguese and Spanish. The bilingual model combines Language Identification and Speech Recognition developed with the Wav2Vec2.0 architecture and trained on several open and private speech datasets. In this model, the feature encoder is trained jointly for all tasks and different context encoders are trained for each task. The model is evaluated separately on two tasks: language identification and speech recognition. The results indicate that this model achieves good performance on speech recognition and average performance on language identification, training on a low quantity of speech material. The average accuracy of the language identification module on the MLS dataset is 66.75%. The average Word Error Rate in the same scenario is 13.89%, which is better than average 22.58% achieved by the commercial speech recognizer developed by Google.
Vehicle Engine Anomaly Detection Using Data from Surrounding Sensors

This study proposes a new method of determining whether the state of a vehicle engine is normal or abnormal using measured data from various sensors around the engine and verifies its performance. To understand the obtained sensor data, a correlation between data from each sensor is developed, and an analysis is performed to classify data that can be used as a feature. The given sensor data are converted into gray images and color images to be used as training and test data. The performance in discriminating between normal and abnormal states of an automobile engine is evaluated using an autoencoder, convolutional neural networks, and transfer learning. It is confirmed that the proposed method can accurately classify the normal and abnormal states of the vehicle engine.
Temporal Landscapes: A Graphical Logic of Behavior

We present an elementary introduction to a new logic for reasoning about behaviors that occur over time.This logic is based on temporal type theory.The syntax of the logic is similar to the usual firstorder logic; what differs is the notion of truth value.Instead of reasoning about whether formulas are true or false, our logic reasons about temporal landscapes.A temporal landscape may be thought of as representing the set of durations over which a statement is true.To help understand the practical implications of this approach, we give a wide variety of examples where this logic is used to reason about autonomous agents.
Development of Smart Factory Abnormal Detection Method Using Object Detection and AutoEncoder

Recently, artificial intelligence algorithms are being applied in various industrial fields. Under these circumstances, the manufacturing industry is also conducting research on artificial intelligence in areas such as classification, prediction, and monitoring. However, it is not easy for SMEs to invest in new areas such as artificial intelligence. Therefore, this study proposes an image-based process management system for the manufacturing system. In this paper, We utilize the object detection algorithms YOLOV5 and autoencoder in the direction of process anomaly detection. First, the object is extracted in real time from the information of the image taken at the mobile device level through the YOLOv5. Next, the extracted image is defined as an input value of the autoencoder, and a main feature is to be extracted. In particular, the performance of object detection was compared through scenario analysis and the amount of data required for learning. It is expected that the abnormality detection methodology presented in this study will contribute to the purpose of establishing a smart factory and improving productivity and yield of domestic manufactured SMEs.
Simulation of Digital Circuits with Proteus®

This chapter shows how a digital circuit can be analyzed in Proteus. In this chapter you will learn how to simulate combinational and sequential digital circuits.
Hybridization as a result of megatrends in modern education

The process of forming an academic space in the context of globalization is associated with finding a balance between occupying a worthy place in the international academic space and solving national problems. On the one hand, the academic institutions of different countries have similar features and are subject to quite comparable standards. On the other, they are all participants in solving their countries’ socioeconomic problems, as well as drivers of regional development. It is well known that the mechanisms for embedding and speeding up educational systems are associated with resource availability, including highly qualified academic and pedagogical personnel. High-resource educational systems cope faster with new tasks, overcome barriers more successfully, and are more open to innovations than low-resource ones. Faced with new realities, the academic sphere is responding to the challenges of the times by changing its goals, objectives, content, structure, educational technologies, the oversight and quality of the activities of higher education institutions and their funding, as well as the conditions under which those activities are carrying out, including the PhD training system. The turbulence of the environment in which educational institutions are developing is giving rise to processes that are often spontaneous and incomplete, while borrowings are leading to forms we define as social hybrids. The purpose of this chapter is to analyze the phenomenon of educational hybridization as a result of megatrend dyads influencing higher education, such as globalization and deglobalization, integration and disintegration, and democratization and de-democratization. The need to improve the structure of the higher education system is becoming especially acute due to the massive nature of higher education and the increased requirements for graduate training. The search for new structural forms to improve national educational systems is being modernized.
Keeping the secrecy aspect in mass e-voting

Two years of the COVID-19 pandemic have pushed society's digitalization forward like nothing ever before. Activities that weren't achievable without personal contact, became present online. Currently, when the COVID-19 restrictions are being lifted and personal meetings are becoming possible, in some cases, it still appeared to be more convenient to “meet” virtually than physically. Some actions proved to be more effective when performed online. That is why some people didn't want to come back to the previous form of communication anymore. Many decision-makers who see all the advantages of online communication have turned to the new possibilities that are served by Internet systems. Hence, they intend to keep it virtual even now, when pandemic restrictions have been lifted in most cases. This situation implies lots of great ideas for virtualization. One of those is online voting and polling conducted on many voters – groups larger than just board members or delegates. Such balloting could be performed using a voting system. Unfortunately, in the case of the decision-making process, which should be treated as a one-time event, using typical solutions is mostly very ineffective. Observations revealed that e-voting procedures conducted on a large number of electors may be challenging for many, not computer-experienced users. The procedure of authentication has to stay present in order to protect the votings against ballot stuffing. Particularly in secret voting, the problem remains the same: how to verify the user for a secret ballot without revealing his data. In mass voting, additional issues appear such as how to complete the procedure on multiple (often not ICT-experienced) voters and how to make the system accessible and credible at the same time.
How and Why Does Schematic Knowledge Affect Memory?

Beliefs have been studied across disciplines using a variety of approaches. In the human memory literature, expectations and beliefs drawn from prior knowledge are characterized and studied as schematic knowledge. In this chapter, we will discuss the role schematic knowledge plays in guiding the formation and retrieval of memories. A central focus will be placed upon understanding why retrieved memories are biased toward prior beliefs or schematic knowledge. Through a review of computational models and empirical findings, this chapter will convey that even though prior beliefs generate memory biases, these memory biases ultimately maximize the average memory accuracy – giving rise to optimal behavior. In the last section of the chapter, I will connect these modeling frameworks to more recent empirical results on the role of schematic knowledge, identifying potential future directions for updating the models and venues for conducting new experiments.
Effects of social service participation activities on young peoples" physical composition, functional movement scale(FMS) and physical balance

This study was conducted to investigate changes in body composition and body function after performing strength training and balance exercise 3times a week for 12weeks by participating in the Youth Social Service Project for young people in their 20s and 30s who do not have regular exercise experience. As a result of analyzing the effects of functional movement scale(FMS) and measuring static and dynamic body balance ability, the following conclusions were obtained. First, as for the change in body composition between periods, body fat percentage(p.05) and BMI(p.01) of the service use group significantly decreased, and in comparison between groups, muscle mass was significantly lower than that of the control group(p.05) increased. Second, in the functional movement test between periods, the service use group was deep squat(p.001), hurdle step(p.001), inline lunge(p.01), active leg lift(p.001), and rotation. There was a significant increase in stability(p.01) and total score(p.01), and in the comparison between groups, the service use group showed inline lunge(p.001), shoulder mobility(p.001), and total There was a significant increase in score(p.001). Third, in the comparison between periods, the change in body balance significantly increased in the service use group in static balance ability(p.05), dynamic balance ability(p.05), and total score(p.001). In comparison, the service use group significantly increased in static(p.01), dynamic(p.001), and total scores(p.001) than the control group. Summarizing the above conclusions, it is thought that the 12weeks exercise program for the young people who participated in the youth social service project will be helpful in maintaining positive physical function.
Korean Linguistic Significance of the New Korean Translation The New Testament and Psalms(NKT NT&amp;Ps)

Reading the Bible written in an old-fashioned style is difficult for the younger generation to read, so it is necessary to translate the Bible into a modern language for the next generation. The New Korean Translation The New Testament and Psalms (hereinafter NKT NT&Ps) was introduced at this time in response to the need of a translated Bible that uses easy native language instead of difficult Sino-Korean words, and fits the story structure of the Bible by utilizing the grammatical characteristics of discourse (text) and genre. The significance of the NKT NT&Ps in terms of its lexis, syntax, discourse, and notation is listed in the numerical order as follows: (1) In pursuit of a new native language translations, native-language-centered translation was thoroughly conducted, and expanded the breadth of expression of the Korean translation Bible. (2) While respecting the principle of direct translation of the original text, paraphrase was performed with its focus on the native language. The old-fashioned style of writing mixed with compound sentences and complex sentences was avoided, and sentences were cut as short as possible. (3) The old-fashioned-style of two-level honorification was converted into the six-level, modern language honorification, and it was adjusted according to the genre characteristics of each book in the Bible. Discriminatory expressions were avoided and modified. (4) Modern orthography was followed, and punctuation marks were introduced. Modern measurement systems and Arabic numerals were introduced to improve readability. The NKT NT&Ps should be viewed as an experimental and positive challenge.
The Canvas model studied the impact factor and its visualization in the EBSCO database, Scopus, Scielo, 2017 -2021

This manuscript is based on a bibliographic review that supports the research with concepts and definitions from different authors. The idea is to document different aspects of theresearch, the objective of this study is to know the field of science, engineering, arts, medicine, course management and/or business in general, the Canvas business model is It applies to any field. More specifically, this study aims to answer the following question: How much is the Canvas business model applied by business sector in jobs published between 2017 and 2021? The method used consisted of compiling and reviewing scientific publications filtered from databases, particularly EBSCO, Scopus and Scielo, using keywords related to the titles of the books. The result of the selected documents was 76, made up of 209 authors, leaving 71 documents in a state of debugging, the results of which will appear in various tables and figures. In conclusion, the author argues that the business model is a tool that can be used in different fields because it is a simple and flexible method that hopes to solve problems, deals with opportunities and demands, because it is very active and creative.
Dark Energy and Electromagnetism

The study addresses the following question: what is the source of the Dark Energy?The study provides sound argumentations that Electromagnetic Waves, from separate sources, can consolidate, even though such consolidations seem to embed paradoxes. The study also proposes a physical experiment which might implement consolidations of Electromagnetic Waves, from separate sources. In addition to the above, the study also addresses paradoxes related to the Mutual Annihilation and the Pair Production processes. The study proposes a resolution for all these paradoxes which also concludes that most of the Dark Energy might be related to Electromagnetism and that the Electric Charge is also a form of Energy.
PSYCHOLOGICAL PROVISION OF PROFESSIONAL TRAINING OF FUTURE MUSIC ART TEACHERS DURING MASTER'S EDUCATION (ON THE EXAMPLE OF THE DISCIPLINE «MUSIC PSYCHOLOGY»)

The article raises the issue of psychological professional training provision of future music art teachers during their master's studies at a pedagogical institution of higher education. The relevance of this problem is determined by the need for the disciplines of the psychological and pedagogical cycle in the general professional and creative training of masters, solving the main task – the training of highly qualified specialists in musical art who meet the standards and requirements of a modern specialist. The article proves the necessity of studying the discipline «Music Psychology» in preparing masters of education for the qualitative implementation towards the professional functions of a performer and musical art teacher in the system of general and additional music education. The author's approach to the content and teaching methods during the study of the specified discipline is highlighted. It is emphasized that the construction of the thematic material of the course is based on a dynamic approach, which most accurately reflects the specifics of the mental processes of an individual interacting with music. This approach is implemented through the sequence that is most often found in general psychology: the nature of sound, cognitive processes, the emotional and volitional sphere, individual characteristics of the personality, the specificity of artistic creativity. It is emphasized that the construction of the thematic material of the course is based on a dynamic approach, which most accurately reflects the specifics of the mental processes of an individual interacting with music. This approach is implemented through the sequence that is most often found in general psychology: the nature of sound, cognitive processes, the emotional and volitional sphere, individual characteristics of the personality, the specificity of artistic creativity. Attention is focused on the author's vision of the discipline content, supported by 15 years of experience in teaching the course «Psychology of Art» for students of art specialties of a pedagogical high educational institution. The article outlines a logical presentation of the course material aimed at making master's students about following the importance of psychological training at the university, forming their professional motivation. To reinforce the last day of the entrance questionnaire on the specified questions. The article presents the main issues about meaningful modules as indicative and sufficient for the formation of competencies and learning outcomes regarding education seekers, determined by the educational and professional program. Examples of exercises for use in practical classes are given in order to make master's students aware towards the specifics of the course and its differences from traditional psychological disciplines. Key words: music psychology, professional training of masters, cycle of professional training, entrance questionnaire, psychological and pedagogical disciplines.