Reviewerly/exHarmony huggingface dataset:
MENILAI INTEGRASI MUATAN DATA ANALYTICS DALAM KURIKULUM PROGRAM STUDI KOMPUTERISASI AKUNTANSI POLINES

Abstract : This study demonstrates a framework for integrating data analytics into an existing undergraduate accounting computerization course. One contribution of curriculum integration is that students are introduced to data analytics in a progressive or sequential manner, while not requiring additional semester credit units to reflect the information technology changes made to the curriculum and the accounting profession. The model from Qasim et al. (2020) proposes course learning outcomes (CLOs) related to data analysis with specific course levels. The findings show that data analysis materials are identified as existing and have an impact on changes in learning materials. Empirically, there are differences in the level of understanding and mastery of skills on data analysis tools between lecturers and students. The course that needs to develop the adoption of data analysis material is intermediate financial accounting expansively. This model can be used as a reference for lecturers and curriculum committees when updating the accounting curriculum to include data analytics.
As the Epitome of Talent: John von Neumann and Hungarian-born Scientists Around Him

John von Neumann (1903–1957) was a Hungarian-American mathematician, physicist, computer scientist, and polymath who made significant contributions to various fields of science and technology. He is best-known for his pioneering work in computer science, game theory, and the development of the Neumann architecture, which forms the basis of most modern computers. Neumann’s work laid the foundation for the development of the digital computer, and he is often regarded as one of the founding figures of the field of computer science. He made important contributions to the development of early computing machines, including the concept of storedprogram computers, which enabled computers to store and manipulate instructions as data, and the idea of self-replicating machines, which has been influential in the field of artificial intelligence and robotics. In addition to his work in computer science, Neumann made significant contributions to other fields, such as mathematics, physics, economics, and nuclear physics. He also played a key role in the development of the atomic bomb during World War II as part of the Manhattan Project. Neumann’s work has had a profound impact on modern science, technology, and society, and his legacy continues to inspire and influence researchers and practitioners in various fields. His visionary ideas and interdisciplinary approach to problem-solving make him a remarkable figure in the history of science and technology.
The Application Of Discrete Wavelet Transform In Medical Image Compression

Data compression techniques plays a vital role in the research area of digital image processing. It involves the processing of digital images with the combined assistance of computer and mathematics. In digital image processing, one can manipulate the images by pre-processing, image enhancement and display. Here we proposed a technique ‘Discrete Wavelet Transform’ (DWT) for the compression of medical images. The images that adopted for compression are medical images. Medical images needs a lot of space to maintain the medical records of a patient in a hospital. In the presented work here the DWT compression technique is applied to the magnetic resonance imaging (MRI) image of brain. The number of wavelets of DWT family is employed for this purpose. First the image under consideration is decomposed by the sub-band coding technique of DWT, and then applied the Embedded Zerotree Wavelet (EZW) encoding scheme. A comparative study is also done on all the resultant images in terms of Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), Compression Ratio (CR) and Bits Per Pixel (BPP). In the presented study, Haar wavelet gives the better compression of MRI image. All the processing is done by well-known mathematical tool MATLAB.
Zero-Watermarking for Medical Images Based on Regions of Interest Detection using K-Means Clustering and Discrete Fourier Transform

Watermarking schemes ensure digital image security and copyright protection to prevent unauthorized distribution.Zero-watermarking methods do not modify the image.This characteristic is a requirement in some tasks that need image integrity, such as medical images.Zerowatermarking methods obtain specific features for the master share construction to protect the digital image.This paper proposed a zero-watermarking scheme based on K-means clustering for ROI detection to obtain specific features.The Kmeans algorithm classifies the data according to the proximity of the generated clusters.K-means clustering is applied for image segmentation to identify ROI and detect areas that contain important information from the image.Therefore, the Discrete Fourier Transform (DFT) is applied to the ROI features, using the high frequencies to increase its robustness against geometric attacks.In addition, an edge detection based on the Sobel operator is applied for the QR code creation.This type of watermark avoids errors in watermark detection and increases the robustness of the watermark system.The master share creation is based on an XOR logic operation between extracted features from the selected ROI and the watermark.This method focuses on the protection of the image despite it being tampered with.Many proposed schemes focus on protection against advanced image processing attacks.The experiments demonstrate that the presented algorithm is robust against geometric and advanced signal-processing attacks.The DFT coefficients from the extracted ROI features increase the efficiency and robustness.
SPEECH EMOTION RECOGNIZER USING EMOJIS IN MACHINE LEARNING

The research report used statistical analysis and experimentation to evaluate and assess the perceptual factors important for speaker verification and emotion recognition. Each speaker has used distinctive characteristics to convey a range of emotions. Strong automatic speaker verification systems have been developed using these speaker-based variances in characteristics. This paper presents the application to recognizer speech emotion by using emoji’s. Using statistical analysis and experimental methods, the research paper investigated and appraised the perceptual elements essential for speaker verification and emotion recognition. Each speaker has used their distinctive features to convey a range of emotions. Powerful automatic speaker verification systems have been built using these speaker-based variances in features.
A STUDY OF SPATIAL ORIENTATION AND CONSTRUCTIVE PRAXIS DISORDERS IN NORMALLY DEVELOPING AND MENTALLY RETARDED CHILDREN AGED 8-11.

Aim- to study spatial orientation and constructive praxis disorders in normally developed and mentally retarded children aged 8-11. The research was performed in the research laboratory of the Faculty of Special and Inclusive Education at the Armenian State Pedagogical University after Kh. Abovyan and Armenian state institute of physical culture and sport. A total of 131 children aged between 8 and 11 years participated in the study, including 73 healthy schoolchildren and 58 children with mild mental retardation. The results of the experimental study of task performance show that interesting data have been obtained which will serve as a basis for the development of necessary means, methods, and conditions for the development of elementary practical orientation in mentally retarded elementary school children. The analysis of the results of the study allows us to highlight the following important points: - Mentally retarded younger pupils lag behind their healthy peers in all the studied indicators. - 8-9-year-old have less developed practical spatial orientation skills than their older counterparts. The results of the conducted experimental research testify to insufficient development of elementary practical orientation and understanding of spatial relations of objects in mentally retarded elementary school children.
A Preliminary Study on Eye Contact Framework Toward Improving Gaze Awareness in Video Conferences

Gaze information plays an important role as non-verbal information in face-to-face conversations. However, in online videoconferences, users’ gaze is perceived as misaligned due to the different positions of the screen and the camera. This problem causes a lack of gaze information, such as gaze awareness. To solve this problem, gaze correction methods in videoconference have been extensively discussed, and these methods allow us to maintain eye contact with other participants even in videoconference. However, people rarely make constant eye contact with the other person in face-to-face conversations. Although a person’s gaze generally reflects their intentions, if the system unconditionally corrects gaze, the intention of the user’s gaze is incorrectly conveyed. Therefore, we conducted a preliminary study to develop an eye contact framework; a system that corrects the user’s gaze only when the system detects that the user is looking at the face of the videoconferencing participant. In this study, participants used this system in a online conference and evaluated it qualitatively. As a result, this prototype was not significant in the evaluation of gaze awareness, but useful feedback was obtained from the questionnaire. We will improve this prototype and aim to develop a framework to facilitate non-verbal communication in online videoconferences.
Environmental Assessment by Metallic Trace Elements of Gold Soils – Case of Chami (Dakhlet Nouadhibou, Mauritania)

In the Inchiri region of northern Mauritania, the discovery of new artisanal methods for extracting gold has made the town of Chami a strategic location for gold miners and their mining operations.Despite the importance of this activity in the country's economy, to the significant revenues it provides, it is still likely to have a negative impact on the various environmental compartments.The objective of this study was to assess the environmental impact of trace metal elements (ETM) from gold panning in the soils of Chami area.For this purpose, forty soil samples were collected during a field mission in May 2022.The geochemical analyses of the ETM (As, Co, Cr, Cu, Hg, Pb, Ni and Zn) were carried out at the ALS laboratory in Dublin, using the inductively coupled plasma -atomic emission spectroscopy (ICP-AES) technique.The results show that the concentrations of ETM in soils differ according to the sampling station and the considered metal.These concentrations sometimes exceed the normal thresholds.The average value of the pollution index is higher than 1, revealing soil contamination by several elements (As, Cu, Hg and Pb).The geo-accumulation index varying between 0 and 4 shows a medium to high soil pollution class.The correlation matrix obtained shows positive correlations between the studied elements, which suggest that they have the same anthropic origin.These results show an accumulation of metals in soils that can persist in the environment, especially Hg, the most toxic element that is easy to diffuse and change speciation, in addition to being capable of causing risks to the environment and human health.
Strategies for Improving Students' Writing Ability in High School Chinese Classroom Teaching Environment

Writing is an important component of Chinese language.Under the new curriculum concept, cultivating the core literacy of Chinese language and achieving comprehensive quality education is an important goal of current Chinese language education reform.The improvement of high school students' writing ability not only relies on a solid Chinese foundation, but also relies on the cultivation of students' thoughts and emotions.This article analyzes the significance and teaching principles of improving high school writing ability, explores strategies for high school Chinese language teachers to enhance students' writing abilities, and hope to provide reference for high school Chinese language teachers.
Burden of regulation on the performance and growth of SMEs; empirical analysis in Silte zone, south nations nationality peoples regional state, Ethiopia

The main purpose of this study was to investigate the perception towards the burden of regulation on the performance and growth of SMEs in Silate Zone, SNNPRS, Ethiopia.To attain the intended objective the study used quantitative research of descriptive statistics and multiple regression for pooled least squares estimations method used.Bassed on the accessed data, there were 1718 formally registered SMEs in the form of private limited companies and sole proprietor types of legal status in Silte Zone, SNNRS from 2016 to 2021.The result of this mixed approach explores that SMEs face challenges from different factors but, they perceived challenges from regulatory burden outweigh other factors.Pooled multiple regression for all independent and control variables simultaneous indicated that, except for inapproprate enforcement of regulatory frame works (0.157) and compatibility in the global market of SMEs rate (0.213) all variables had negative coefficient.At the same time, apart from debt ratio p-value (0.258) all variables are significant at 1 percent degree of freedom.The value of adjusted R2 is 75.2 percent; while Durbin-Watson and F-statistic are, 1.47 and 25.81 respectively.The result also identifies mechanisms mostly used by SMEs to mitigate problems from regulations and how much the regulators have smooth contact with them and to what extent the regulators made inspection, consultation and communication.Moreover, the result identifies the relation between regulations and SMEs performance and growth based on their view i.e. they have positively related each other.As a whole, the study suggests a series of measures which could be taken by the government policy makers/regulators and for SMEs.This measure includes to adopt government impact assessment task force and review the existing regulations how much they enable and constrain businesses and at the same manner suggest for SMEs to incorporate different mechanisms to comply with regulation rather than rely more on specific mechanisms.
Research on Personalized Physical Education in Physical Education Teaching in Colleges and Universities

In the process of reform and development of modern physical education, personalized physical education has received extensive attention.Under the new historical conditions, the traditional "unchanging" physical education curriculum has been eliminated, and the idea of individualized physical education curriculum has also emerged.This is an inevitable requirement of quality education and an educational method of "teaching students according to their aptitude".Physical education teachers are the instructors of personalized physical education.Only on the basis of understanding the concept and characteristics of personalization can they successfully carry out personalized educational activities, truly achieve the teaching objectives of personalized education, and comprehensively improve the physical quality of students.
I-Brow: Hierarchical and Multimodal Transformer Model for Eyebrows Animation Synthesis

The human face is a key channel of communication in human-human interaction. When communicating, humans spontaneously and continuously display various facial gestures, which convey a large panel of information to the interlocutors. Likewise, appropriate and coherent co-speech facial gestures are essential to render human-like and smooth interactions with social agents. We propose “I-Brow”, a model that produces expressive and natural upper facial gestures based on two modalities: text semantics and speech prosody. Our deep learning model is based on Transformers and convolutions. It has a hierarchical two-level encoding property: its input features are encoded, at both word and utterance levels, where an utterance corresponds to an Inter-Pausal Unit (IPU). We conduct subjective and objective evaluations to validate our approach.
Fabricating Ceramic Scaffolding Nest through the addition of Calcium Carbonate (CaCO₃) in Ceramic Stoneware Body

Edible bird nest (EBN) is based from swiftlet's saliva and it is widely consumed as a health food due to its high beneficial effects to human health and has been considered to be one of the most precious food items by the Chinese for thousands of years. The role of a scaffolding nest is to guide the young swiftlet to build a typical form of the edible bird nest that will increase its commercial values. However, the price of edible bird nests decreased due to various shapes and sizes of EBN in the market. This study will design standard scaffolding nests followed by MS 2334:2011 and introduce the Calcium Carbonate as the main material and associate it with the stoneware body as the binder to create a natural environment to swiftlets.
The study of the formation of spiritual values, patriotism and citizenship among students and teachers of a pedagogical university

Introduction. The relevance of the research is determined by the importance of the formation of spiritual values associated with such qualities as patriotism and citizenship in modern society. The purpose of the work is to study the problem of the formation of a student pedagogical university, compare the value orientations of students and present, identify approaches, achieve a high level of spiritual inclination formation, include an assessment of patriotism and citizenship in the presentation of the personality of the future teacher. Materials and methods. An author's modified questionnaire was created, with two options - for students and teachers. The basis for the study was the Armavir State Pedagogical University (Russian Federation). The survey involved students of the Pedagogical University in the amount of 913 people, as well as teachers in the amount of 106 people. Results. The analysis of the survey showed that the majority of both students (69.4%) and teachers (75.5%) associate the concept of "patriotism" with national identity. At the same time, 91.2% of the surveyed students consider themselves patriots. The concept of "citizenship" is defined by both students and teachers of a pedagogical university as primarily a sense of responsibility and duty to their country and people (43.6% of students and 54.3% of teachers), awareness of responsibility for their actions, understanding of their rights and freedoms (43% and 34.3%, respectively). In addition, in the structure of values of pedagogical university students, a high share is occupied by those that are characteristic of young people as a whole as a special group of the population – self-realization (64.1%), love (58.7%), friendship (45.3%). Conclusion. As the study showed, the formation of patriotism of the modern young generation mainly takes place in the family. Accordingly, it is necessary to consider the possibility of closer interaction between the family and educational organizations at all levels of education in the issue of patriotic education. To implement educational activities at a university, as well as at school, methodological support from teachers, development and implementation of modern interactive manuals are needed.
Participation Patterns of Interactive Playful Museum Exhibits: Evaluating the Participant Journey Map through Situated Observations

The Participant Journey Map (PJM) provides structured insight into participation with interactive play in (semi-) public environments. It supports understanding of participants’ behavior and was developed based on experiences with previously developed playful interfaces, related research and expert interviews. We apply the PJM to interactive playful museum exhibits and evaluate and refine it based on its usage in a situated context. We observed 672 play sessions with 6 interactive playful museum exhibits. The observation data was visualized and analyzed using the PJM. This study shows that the PJM provides a realistic representation of participant behaviour, can be used to identify stagnations and progressions in participation flow, and support identification of influencing design and contextual factors. With this paper we contribute by presenting the PJM as a well-grounded, valuable and realistic framework for evaluating and understanding participation with situated interactive play, based on post-hoc evaluation of multiple interfaces with many users.
Identifying the factors of country risk fluctuation from news text data using natural language processing

Due to the uncontrollability of country-level risk, project participants like contractors should keep monitoring the current situations of the host country.News articles might be good sources to extract issues preceding country risk fluctuation.This study proposes a framework to recognize risk-related issues from news content.S-BERT vectorizes news texts, and DBSCAN groups them into several topics.Topics from different timespans are compared to distinguish risky issues.Preliminary results show the proposed framework can extract specific topics from news articles.It is expected that participants of international projects utilize the framework to recognize the situations of the host country.
Barriers and pathways to use extended reality in stem classrooms: perspectives of key stakeholders

This paper investigates the barriers and pathways to adopting, integrating, and implementing extended reality (XR) in STEM classrooms to support active learning at the California State University from the perspectives of key subject matter experts (SMEs).The research team conducted semi-structured interviews with the SMEs to solicit feedback from the lenses of financial, faculty, and institutional environment at the various phases of the transition to use XR in regular STEM classrooms with large student enrollments rather than exploratory labtesting scenarios typically seen in research settings.The results unveiled a broad spectrum of barriers subject to the specificity of the discipline, administrative commitment, infrastructure, incentive structure, content development, professional development, and training.The findings suggest that peer support and collective advocacy among STEM faculty, administrators, and industry partners could pave a pathway forward to encourage the use of XR in everyday STEM teaching and learning.
A Prior Study on the Improvement of the Recognition Rate of Medieval Korean Using Class Compression and Division in Object Detection

Text recognition is an important method for converting documents into digital format by allowing the extraction of text from images. While optical character recognition (OCR) technology has been developed extensively over the years, it has lower performance when it comes to recognizing Hangeul (the Korean alphabet) due to its larger number of character types compared to other languages. In this study, we propose a technique for object detection that incorporates class compression and division to improve the accuracy of Hangeul text recognition. We conducted experiments comparing models with and without compression and division, as well as OCR, a well-established text recognition method. The results showed that the model utilizing compression and division achieved the highest accuracy, even with the smallest amount of data.