Reviewerly/exHarmony huggingface dataset:
CONCEPTUAL REGIONAL ORIGIN RECOGNITION USING CNN CONVOUTION NEURAL NETWORK ON BANDUNG, BOGOR AND CIREBON REGIONAL ACCENTS

Sound detection is a challenge in machine learning due to the noisy nature of signals, and the small amount of (labeled) data that is usually available. The need for sound detection in Indonesia is quite important because there are many community organizations that form groups according to the land of their origin. Especially in big cities, where people from various tribes gather and exchange cultures. However, it has a disadvantage that affects these tribes, namely the loss of the original culture of certain areas. The Sundanese are the object of this research, including Bandung, Bogor and Cirebon. Voice data is divided into 2 types, namely male and female, each region consists of 50 respondents with 25 male and female voices with a maximum voting time of 1 minute. The method used is CNN architecture based on supervised learning, preprocessing using MFCC (Mel Frequency Cepstral Coefficients) to obtain feature extraction from voice data. CNN architecture is carried out 3 times convolution with max pooling and dropout on each convolution.
Investigating the Effectiveness of Game Development for Educators

Mobile Assisted Language Learning (MALL) has become a popular topic recently due to the rapid development of mobile devices. The objective of this study is to revalidate game principles via MALL and to obtain consensus and expert opinions on the principles. The study employs the Fuzzy Delphi technique to collect responses from nine English Language specialists. The triangular fuzzy numbering method was used to analyze the data, and the 'defuzzification' process was used to determine each variable's position (ranking). According to the findings, the response and expert consensus on the game principles scale is satisfactory
Acoustic Dissipation and Modal Coupling in Server Computers

Interest in the interior acoustics of server computers is growing as noise generated by air movers (fans) is increasingly observed to impact the performance of hard disk drives (HDD) inside these computers. In a typical server, a backplane cavity is located between an array of air movers and an array of HDD such that the HDD may be within a fan diameter of the air movers. The possibility of functional degradation requires careful management of air mover noise with respect to HDD susceptibility to acoustic noise disturbances and motivates understanding the physical phenomena underlying the acoustics. A previous investigation demonstrated the importance of coherence between acoustic standing wave modes in the backplane cavity. In this paper server interior airborne acoustics are further investigated by focusing on acoustic dissipation and inter-modal coupling in the backplane cavity. Various dissipation models are developed and used in conjunction with a previously formulated modal cavity acoustic model to generate cavity transfer factors. The transfer factor predictions are compared to measured transfer factors to draw further insights into the physical phenomena governing the interior cavity acoustics.
Big Data Clustering Techniques Challenged and Perspectives: Review

Clustering in big data is considered a critical data mining and analysis technique.There are issues with adapting clustering algorithms to large amounts of data and new challenges brought by big data.As the size of big data is up to petabytes of data, and clustering methods have high processing costs, the challenge is how to handle this issue and utilize clustering techniques for big data efficiently.This study aims to investigate the recent advancement of clustering platforms and techniques to handle big data issues, from the early suggested techniques to today's novel solutions.The methodology and specific issues for building an effective clustering mechanism are presented and evaluated, followed by a discussion of the choices for enhancing clustering algorithms.A brief literature review of the recent advancement in clustering techniques has been presented to address each solution's main characteristics and drawbacks.
Crafting Attention in Immersive and Interactive Practices

This creation is part of the ongoing project “Positioning the Audience in Cinematic Virtual Reality”, supported by the Scientific and Technological Research Council of Turkey. The project engages with the attentional and corporeal resonance between spectators and visual experiences in participatory and immersive practices. In the continuing first phase of the project, we are designing and producing a VR creation that will then enable us to conduct audience research to focus on the attention practices of the viewers in the second phase. Hence, as a critical research-creation project it has two complementary and symmetrical foci that employ both theory and practice, and that are intertwined with one another. In tandem with making an interactive and photorealistic (cinematic) VR film where spectator crafts the very narrative unfolding by voluntary and involuntary attentional participation in a given scene, we are also developing a conceptual framework on how immersive and interactive technologies are conditioned by the freedom given to the spectator. As interdisciplinary project it brings together researchers from film studies, new media studies and psychology to develop a holistic understanding on the attention of spectator in moving image technologies. In making, instead of using game-based interactivity technologies enabled by the controllers, the VR film uses gaze detection techniques and the attentional economy of the spectator as active defining element of the narrative unfolding. Combining both the bottom-up and the top-down attentional procedures it allows spectators to craft a circular experience and aims to problematize the craft of the spectator. In theory it aims to develop an historical and critical understanding of visual practices where spectator is the active producer of the optical experience in certain media ecology including technologies from proto-cinematic devices to the post-cinematic media constellation comprising video games, Virtual Reality etc. Therefore we aim to problematize and rend sensible the craft and the autonomy of the viewer by combining conventional academic research practices with artistic experimentation. The creation undertaken in the first phase of the research is aimed to result in multiple alternative designs, which will form the basis of our presentation at IFM2023.
Development of forecasting method of time variation of net solar output over wide area using grand data based neural network

This paper focuses on the short-term forecasting of the temporal variation in the net output of photovoltaic power generation across a wide area. Due to the unstable output fluctuations of photovoltaic power generation, thermal power generation is necessary. However, to handle unpredictable power fluctuations, thermal power often operates in a no-load standby mode, resulting in wasteful energy consumption. To address this issue, we have developed a novel prediction method that utilizes neural networks for short-term forecasting of the net output of photovoltaic power generation in a wide area. The key aspect of this method is the utilization of the distributed solar power generation itself as a sensor within the target area, enabling the use of BIG DATA derived from the sensor to predict future net output of solar power generation using a neural network. To expedite calculations, we have incorporated an autoencoder and a decoder. We applied this methodology to northern Kyushu and conducted thorough verification. Furthermore, we compared the persistent model with the smart persistent model and demonstrated their effectiveness as viable solutions.
Photon Statistics Modal Reconstruction by Detected and Undetected Light

Abstract A novel technique is introduced for the reconstruction of multimode optical fields, based on simultaneously exploiting both the generalized Glauber's K th ‐order correlation function and a recently proposed anti‐correlation function (dubbed ) which is resilient to Poissonian noise. It is experimentally demonstrated that this method yields mode reconstructions with higher fidelity with respect to those obtained with reconstruction methods based only on 's, even requiring less “a priori” information. The reliability and versatility of this technique make it suitable for a widespread use in real applications of optical quantum measurement, from quantum information to quantum metrology, especially when one needs to characterize ensembles of single‐photon emitters in the presence of background noise (due, for example, to residual excitation laser, stray light or unwanted fluorescence).
Forecasting the results of the session based on the analysis of the current academic performance of students using the data of the information management system “Electronic University”

One of the actual tasks of the Dean’s office is regular monitoring and analysis of academic performance during the semester in order to predict the results of the session and identify lagging students, work with whom should be given priority. A large contingent of students on the course, which can be several hundred people, requires both direct communication with participants of the educational process and the use of special electronic information systems to organize effective monitoring of academic performance. The article provides brief information about the display of current academic performance in the information management system “Electronic University” (IMS “EU”) of Bauman Moscow State Technical University. The main methods of determining the level of a student’s current academic performance using the data of the IMS “EU” are presented. Comparison and analysis of the data of the IMS “EU” on the current academic performance of students of the “Special Mechanical Engineering” Faculty of Bauman Moscow State Technical University in November 2022 was carried out in comparison with the results of the winter session of the 2022–2023 academic year for the same students. Based on the analysis, a criterion for identifying lagging students is proposed based on the results of the analysis of current academic performance using the IMS “EU” and recommendations are given on ways to improve the effectiveness of such an analysis.
Modular principle to competence- and process-based additional professional training program formation

The process of designing the content of additional professional training programs for personnel of enterprises and organizations is quite laborious since it requires consideration of the customer’s requirements for the knowledge, skills, and abilities of the employee, same as legislative and regulatory acts in the workplace. In this article, the authors propose a new methodology for forming the content of additional professional training programs on a modular principle, the practical implementation of which is a program design service for the work of a methodologist and an expert on the part of the customer. The concept of the program design service is based on: a competency based approach, which allows determining the goals of education, organizing the educational process and evaluating its results, and a process approach, reflecting the interconnections and interdependencies between the design elements of additional professional training programs. The capabilities of the program design service include: providing a list of competencies from a ready-made list for selection by a methodologist; conclusion of a list of disciplines (modules) that form the specified competencies; formation of an educational and educational-thematic plan and assessment tools package for an additional professional training program. The program design service will speed up the development process and make it more convenient and “transparent” for the customer, formalize the work of the methodologist when designing an additional professional training program, ideal for remote interaction.
Rancang Bangun Sistem Penjadwalan Kursus Musik Berbasis Website

Salatiga Music Course is an institution that manages teaching and learning activities in terms of music and choir activities. So far, Salatiga Music Course institution in carrying out attendance and transaction activities is still done manually with a notebook so that problems occur such as frequent errors in the process of recording attendance and transactions caused by human error. Therefore, this study aims to provide a solution from problem that occurred with designing and building a website-based music course system. This music course system is designed using the waterfall method and built with the PHP programming language using the laravel framework and MySQL database. This music course system is expected can reduce human error so that it can increase effectiveness and efficiency in the attendance and transaction process and increase institutional performance.
A Task-Interdependency Model of Complex Collaborative Work for Advancing Human-Centered Crowd Work

Models of crowdsourcing and human computation often assume that individuals independently carry out small, modular tasks. However, while these models have successfully shown how crowds can accomplish significant objectives across diverse contexts, they can inadvertently advance a less than human view of crowd workers and fail to capture the unique human capacity for complex collaborative work. We present a model centered on interdependencies—a phenomenon well understood to be at the core of collaboration—that allows one to formally reason about diverse challenges to complex collaboration. Our model represents tasks as an interdependent collection of subtasks, formalized as a task graph. We use it to explain challenges to scaling complex collaborative work, underscore the importance of expert workers, reveal critical factors for learning on the job, and explore the relationship between coordination intensity and occupational wages. Using data from O*NET and the Bureau of Labor Statistics, we introduce an index of occupational coordination intensity to validate our theoretical predictions. We present preliminary evidence that occupations with greater coordination intensity are less exposed to displacement by AI, and discuss opportunities for models that emphasize the collaborative capacities of human workers, bridge models of crowd work and traditional work, and promote AI in roles augmenting human collaboration.
Determination of the Digital Educational Environment Composition for a Math Teacher based on the Analysis of Research and Practical Teachers' Opinions

The use of digital technologies in the organization of the educational process takes education to a new level. The aim of the study is to examine the subject digital environment of a math teacher. The article analyzes the opinions of scientists in the field of the subject of digital educational environment component composition, which are the basis for the determination of such components as a didactic learning system. Conducting the study required the use of a whole range of methods, such as observation, survey, and compilation of the Likert scale. Two groups of respondents participated in the survey: the first group included math teachers who had completed advanced training courses on building a subject-based digital educational environment; the second group included teachers who did not take such courses. The author tested the assumption that there is no significant difference in the selection of the subject digital educational environment components by math teachers. To determine the absence of differences between the two experimental distributions, the χ-square criterion was used. Based on the results obtained, the theoretical model of the subject digital educational environment was corrected. The results of the study showed that the theoretically justified component composition of the subject digital educational environment was confirmed as a result of experimental work with practicing teachers, which confirms the relevance of the instrumental approach to the construction of the subject digital educational environment according to the model proposed.
Books in Review: Smack-Talking and Dime-Dropping on the Road to Powerful Writing

Tom Romano suggests that Martin Brandt’s new book brings variety and sophistication to the development of grammar and student voice.
New Voices: The Potential to Empower Youth and Build Community with Out-of-School Writing Program Strategies

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Natural Language Processing to Extract Meaningful Information from a Corpus of Written Knowledge in Breast Cancer: Transforming Books into Data

Books and papers are the most relevant source of theoretical knowledge for medical education. New technologies of artificial intelligence can be designed to assist in selected educational tasks, such as reading a corpus made up of multiple documents and extracting relevant information in a quantitative way.Thirty experts were selected transparently using an online public call on the website of the sponsor organization and on its social media. Six books edited or co-edited by members of this panel containing a general knowledge of breast cancer or specific surgical knowledge have been acquired. This collection was used by a team of computer scientists to train an artificial neural network based on a technique called Word2Vec.The corpus of six books contained about 2.2 billion words for 300d vectors. A few tests were performed. We evaluated cosine similarity between different words.This work represents an initial attempt to derive formal information from textual corpus. It can be used to perform an augmented reading of the corpus of knowledge available in books and papers as part of a discipline. This can generate new hypothesis and provide an actual estimate of their association within the expert opinions. Word embedding can also be a good tool when used in accruing narrative information from clinical notes, reports, etc., and produce prediction about outcomes. More work is expected in this promising field to generate "real-world evidence."
Low-cost and Non-visual Labels Using Magnetic Printing

This paper presents MagCode, a new type of barcode. MagCode label is printed with magnetic ink through ordinary printers and stores data in the magnetic field. By swiping a magnetometer over it, the stored data can be extracted. Thus, unlike ordinary barcodes, MagCode does not rely on visual channels to decode, implying untapped interaction opportunities when decoding ordinary visual code is not preferred or not possible. Its application cases include an unobstructed and low-cost input interface for wearables, whose visual sensing capabilities are usually limited. Further, MagCode's patterns can be designed to be visually-undecodable and our evaluation shows that accessing its magnetic signal requires very close approximation. These properties allow for using MagCode labels to convey covert and sensitive information, such as Easter eggs in games and payment credentials in daily life.
Language Politeness as A Mirror of Rejection-Free Culture In First Secondary Education Kolaka District

Language is one of the elements of culture that reflects the characteristics of every nation and ethnic group in this world. Mastering a language means mastering the world. An important aspect of language is politeness so that communication can run well, effectively and efficiently to achieve goals. This study aims to determine politeness in language as a reflection of Tolaki-Mekongga culture in the Kolaka Regency Junior High School environment. The method used is descriptive method in the form of qualitative research. The results of the study show that politeness in language as a reflection of Tolaki-Mekongga culture in the junior secondary education environment of Kolaka Regency is largely determined by context, social status between speakers and interlocutors and culture. Politeness in language as a mirror of culture is largely determined by forms of speech that use fragments of cultural elements, such as mo, ki, -ko, ji-mbe. There are utterances that contain fragments of Tolaki-Mekongga cultural elements that distinguish a high politeness rating, some that show a low politeness rating, and some that show a neutral politeness rating. Speeches that contain fragments of Tolaki-Mekongga cultural elements which are considered to have a high politeness rating are –-ki. This form is always distinguished by –ko. This form is understood to have a low politeness rating. While the fragments of cultural elements that are considered neutral are ji, -ka, -mbe, -i, tawwa and -ta. These forms do not differentiate between gender, social status, and age. This form is used by all groups within the scope of the Tolaki-Mekongga community in the secondary education environment of Kolaka Regency.
Choi Nam-seon’s perception of Dangun in Sonyun

본고는 최남선이 편찬했던 『소년』을 중심으로, 이 텍스트에 드러난 단군 지칭어의 변화에 주목하여 최남선이 원단군교의 단군 인식을 전유한 양상을 밝힌 것이다. 최남선은 원단군교의 대황조단군성신에 대한 이해를 바탕으로 『소년』에서 단군 표상을 구체화한다. 그는 대황조와 대황조의 영을 의식적으로 구분하여 태백산에 내려온 국조로서 특징을 강조할 때는 대황조를 사용했다. 만물의 양육자이자 신으로서 속성을 언급할 때는 대황조의 영, 대주재를 사용하였다. 또한 최남선이 『소년』에서 민족명으로서 조선을 강조하고 창조-타락-회개-구원과 같은 민족 서사를 구현하는 것도 최남선이 원단군교의 단군 인식을 바탕으로 여러 텍스트를 서술했기 때문에 드러나는 특징으로 볼 수 있다. 이렇듯 『소년』에서 최남선의 단군 인식을 확인하는 본고의 작업은 최남선이 『소년』에서 단군 표상을 구체화하는 데 사용하였던 여러 방식들이 본질적으로 원단군교의 단군 인식을 전유한 것에서 기인했음을 구체적으로 밝혔다는 점에서 중요하다. 또한 최남선의 단군론이 지니는 보편성과 낭만성이 그의 초창기 단군 인식부터 내재되어 있었음을 밝혔다는 점에서도 의의가 있다. This paper focuses on the changes in the terms used to refer to Dangun in the text ‘Sonyun’. The analysis of this paper reveals that Choi Nam-seon adopted Dangungyo’s perception of Dangun. In Sonyun, Choi Nam-seon consciously distinguished “the spirit of Daehwangjo”, the founder and god of all things, from the actual figure Daehwangjo, who descended onto Taebaek Mountain. In addition, the emphasis on “Joseon” as the name of the nation and the implementation of a national narrative akin to a religious narrative are also examples of the writer’s adoption of the Dangungyo perception of Dangun. The findings of this paper regarding Choi Nam-sun’s perception of Dangun as revealed in Sonyun are important in that they confirm that the different terms used for Dangun in Sonyun are the result of Choi Nam-sun’s adoption of the Dangungyo perception of Dangun. This analysis is also meaningful in that it reveals that the universality of Choi Nam-seon’s Dangun theory was inherent to his early Dangun perception.
Digital inclusion analysis for Brazil’s unified health system

Objective: Analyzes the coverage of the digital inclusion programs in health units. Method: The public data of the Cidades Digitais and Wi-fi Brasil programs were analyzed, extracting the number and type of health units supported by the programs, for each Brazilian region and state. Results: The North and Northeast regions have the largest number of health units attended by the programs. The collected data shows that 4.4% of the Wi-fi Brasil’s total access points are in health units and mainly in Indigenous Health Centers (28%), whilst Cidades Digitais corresponds to 4.3%, supporting the Basic Health Units (33%). Conclusion: To recognize the community’s level of access to the internet it is important to propitiate the digital inclusion in health units and then contribute to the National Health Data Network, following the Digital Health Strategy 2020-2028 guidelines.