Reviewerly/exHarmony huggingface dataset:
Pratt Software's Phonological Characteristics, Prosodic Features, and Importance

Pratt is computer software that helps phoneticians synthesize, edit, and analyse speech. Phoneticians, sociolinguists, as well as phonologists all utilize this software. With the aid of this software, one can perform spectral, pitch, formant, and intensity evaluations as well as detect jitters, shimmers, and voice breaks. It can change the form of files and enhance some of their existing qualities. A track's frequencies can be changed and it can be made stereo or mono with this Pratt software. With the help of this feature, one can produce high-quality illustrations for use in academic research articles. For speech analysts that favour in-depth research, it is a more effective instrument. The sound tracks are edited and can be changed to suit the preferences and needs. The Praat software's best feature, the scripting language, will help to automate the necessary tasks that it can carry out. The dialectal background determines whether learning a new language as well as its prosodic qualities is successful or unsuccessful. Intonations are influenced by pitch levels. Accent mispronunciation is solely caused by incorrect pitch patterns. The varying intentions are indicated by the variation in pitch levels. Linguistic and phonetic elements combine to form intonation. Tonal patterns serve a variety of linguistic purposes. The computerized learning utilizes phonetic acoustic hardware and software, concentrating on speech assessment patterns. The improvements in speech technology showed even better ways to reveal the prosodic intonation qualities. Software for computer-assisted language learning (CALL) allows for the visual representation of speech graphically the sound waveform and pitch contours. The visual displays and speech evaluations were presented by the software. The researcher's emphasis and area of interest were therefore the prosodic characteristics and intonation contours, which led to improved outcomes. It was found through research using the Praat software to evaluate intonation contour perception that conceptualizing pronunciation elements was extremely helpful. Speech is organized hierarchically by prosody, which is evoked by characteristics of suprasegmental acoustics. It has both phonetic and phonological characteristics. Features like stress, duration tone and, intonation, are determined by suprasegmental acoustic qualities. Praat is practical software that enables the user to alter and achieve the required phonetic and sound engineering values and levels.&#x0D;
Design and Build of Posyandu Service Application at Posyandu Yanita

Posyandu Yanita is a form of Community-Based Health Efforts (UKBM) which is managed and organized, by the village, for and with the community in implementing health development, in order to empower the community and provide convenience to the community in obtaining basic health services to accelerate the reduction of maternal mortality and baby. Posyandu Yanita experienced input errors and data changes because the work was still manual so it would require a lot of paper to replace new ones, and Posyandu Yanita had difficulty finding the information needed in a short time. Based on these problems, the Android-based Yanita Posyandu information system was designed using the analysis and design method using the Unfield Modeling Language (UML). The Yanita Posyandu information system uses the Dephi and HeidiSql programming languages ??as its database. With the Yanita Posyandu information system, related processes become easier to use, accurate and integrated.
基于实现师生角色实质性深层互换的法语“柔性翻转课堂”探讨

The "flipped classroom model" is one of the important teaching application models. However, in order to substantially realize the "flipped classroom", there are many problems encountered in the implementation. The reason for the problem may be that in the previous flipped classroom model, the roles of teachers and students were not substantially interchanged. Specifically, in traditional classrooms, teachers are knowledge imparters and students are passive receivers. However, what the "flipped classroom" model hopes is that the teacher's initiative and students' passivity will be exchanged, and students will become "passive receivers". ” becomes “active participant and explorer”. This study proposes "A discussion of the French 'flexible flipped classroom' based on the realization of deep and substantive exchange of teachers and students' roles". Through the analysis of the possibility of deep and substantial exchange of teachers and students' roles and the application of critical pedagogy, the "flexible flipped classroom" is proposed the concept of.
Multiplatform of SVC Device for User Experience Mobile Robot Teleoperation

The industrial revolution 4.0 and the rapid advancement of technology during pandemic era has made significant progress in robot industry. There are three types of robots based on the level of independent control such as autonomous mobile robots, semi-autonomous mobile robots, and controller mobile robots. Semi-autonomous mobile robot and Controlled mobile still require human intervention in carrying out the tasks. In this study, teleoperation on mobile robots is displayed on various platforms such as Smartphone, Virtual reality headset as a virtual reality platform, and Computer (SVC) device. A camera is used as a visual sensor that dispatches the information of the surroundings to each platform. The controller used for the teleoperation varies depending on the platforms. The computer platform uses the arrow key on the keyboard. The smartphone platform uses touchscreen. Virtual reality uses Oculus Touch that has been integrated with Oculus Quest 2. ROS# as a robot API framework with Unity engine is used for the communication process between the robot and each platform. Teleoperation Experiments on SVC devices refer to four parameters including task completion rates, task time, satisfaction, and error counts. all these parameters will be combined into a single usability metric (SUM). The SUM results from SVC devices show 54.9% on Smartphones, 79.5% on VR devices, and 90.4% on Computers.
Penerapan Sensor Warna Gy-31 Sebagai Alat Bantu Tuna Netra Untuk Mengenali Uang Kertas Rupiah Berbasis Arduino

Money is a common means of buying and selling transactions in use around the world. Most human needs can be obtained by using money. Because of the huge human need for money, many irresponsible parties use it to produce and distribute counterfeit money. A blind person has difficulty in reading and distinguishes between real money and counterfeit money. Required a tool that can help blind people to solve this problem. Rupiah money have a color difference on every nominal and hidden image that will glow if irradiated with ultra violet. It can be used to read nominal and authenticity. With Arduino microcontroller that combine with GY-31 color sensor and BH1750 light sensor can be used to create tool that will help the blind people to read and distinguish real money and counterfeit money. This tool is expected blind people will be spared from fraud related to counterfeit money and miss-reading the nominal.
Implementation of Model View Controller Architecture in Criticism and Suggestion Applications Using the Object Oriented Analysis and Design Method

STMIK Amik Riau is the first computer college in Riau, founded in 1996, and has produced thousands of graduates spread throughout Indonesia. Apart from the many achievements that have been achieved by this campus, in fact, there are still many problems that students often complain about. STMIK Amik Riau itself already has an assessment system, but it is still limited to an assessment of lecturers and services in general which are filled out once in one semester. Complaints submitted also cannot be seen and confirmed by other students so there is no benchmark that becomes a benchmark whether the complaint is worth prioritizing or not. Therefore an application system is needed that aims to provide criticism and suggestions in a transparent manner to improve the quality of the STMIK Amik Riau campus. This application will later provide a filtering feature that will display complaints based on the selected criteria using the Ascending and Descending concepts. MVC is a method used in designing applications with UML as a visual language based on the Software Development Life Cycle concept with an OOAD approach. The tools used in designing this application are Android Studio using the Flutter Framework with Dart as the main language.
Android-based Mobile Application with Rapid Application Development model for Village Administration Services

Village administration services are essential in a village's progress and villagers' satisfaction with village officials. There are many villages in Indonesia where services still need to be more optimal because they have limitations in disseminating information, unclear procedures, and the status of service applications that cannot be monitored. Mobile-based applications can optimize village administration services, which can bridge between villagers and village officials. From the results of several previous studies, the Rapid Application Development (RAD) model is relevant to be applied in designing Android-based village service applications with the Flutter framework. The SHA-512 algorithm is implemented to increase security by hashing passwords to strengthen database security in village service applications. The application produced in this research has been tested using the User Acceptance Test (UAT) method, and it was concluded that this system is suitable for use by villagers and improves Cihuni village services.
Classification Of Potential Patients Using The Fuzzy K-Means Algorithm at Woman’s and Children’s Hospital

Adina Wonosobo Woman’s and Children’s Hopsital is one of the hospitals in the Wonosobo Regency. To increase the number of patient visits, promotion is carried out through broadcast messages to patients. In evaluating its implementation, problems were found in determining the patient list of recipients of promotional broadcast messages. This problem arises because the determination of the list of recipients of promotional messages is only done on the contact numbers stored on the marketing team's mobile phones. The Fuzzy K-Means method is a data grouping method that is used as a reference for decision-making. Patient visit data were obtained from the RSIA Adina Wonosobo information system database. Furthermore, the data was analyzed to determine the potential of digital marketing priority patients using the clustering method with the Fuzzy K-Means algorithm.&#x0D;
Scalable Neural-Probabilistic Answer Set Programming

The goal of combining the robustness of neural networks and the expressiveness of symbolic methods has rekindled the interest in Neuro-Symbolic AI. Deep Probabilistic Programming Languages (DPPLs) have been developed for probabilistic logic programming to be carried out via the probability estimations of deep neural networks (DNNs). However, recent SOTA DPPL approaches allow only for limited conditional probabilistic queries and do not offer the power of true joint probability estimation. In our work, we propose an easy integration of tractable probabilistic inference within a DPPL. To this end, we introduce SLASH, a novel DPPL that consists of Neural-Probabilistic Predicates (NPPs) and a logic program, united via answer set programming (ASP). NPPs are a novel design principle allowing for combining all deep model types and combinations thereof to be represented as a single probabilistic predicate. In this context, we introduce a novel +/− notation for answering various types of probabilistic queries by adjusting the atom notations of a predicate. To scale well, we show how to prune the stochastically insignificant parts of the (ground) program, speeding up reasoning without sacrificing the predictive performance. We evaluate SLASH on various tasks, including the benchmark task of MNIST addition and Visual Question Answering (VQA).
Binary Neural Networks in FPGAs: Architectures, Tool Flows and Hardware Comparisons

Binary neural networks (BNNs) are variations of artificial/deep neural network (ANN/DNN) architectures that constrain the real values of weights to the binary set of numbers {−1,1}. By using binary values, BNNs can convert matrix multiplications into bitwise operations, which accelerates both training and inference and reduces hardware complexity and model sizes for implementation. Compared to traditional deep learning architectures, BNNs are a good choice for implementation in resource-constrained devices like FPGAs and ASICs. However, BNNs have the disadvantage of reduced performance and accuracy because of the tradeoff due to binarization. Over the years, this has attracted the attention of the research community to overcome the performance gap of BNNs, and several architectures have been proposed. In this paper, we provide a comprehensive review of BNNs for implementation in FPGA hardware. The survey covers different aspects, such as BNN architectures and variants, design and tool flows for FPGAs, and various applications for BNNs. The final part of the paper gives some benchmark works and design tools for implementing BNNs in FPGAs based on established datasets used by the research community.
New Method of Cryptography With Python Code Using Elzaki Transform and Linear Combination of Function

In today’s digital world, cybercrime has become biggest challenge to face in order to keep the confidential information secure from intruders. The security mechanisms used to curb the cyber-attacks, need to be improvised on constant basis with the help of advanced mathematical techniques. This paper deals with new cryptography based iterative method by using successive Elzaki transform of linear combination of functions for encryption and corresponding inverse Elzaki transform for decryption. Starting with a detailed procedure, we presented our work in the form of result. Further, it is generalized and then we applied the iterative method for making our algorithm more secure. We also implemented this method programmatically using PYTHON language which fits current needs. Finally, we illustrate our results with suitable examples.
Perceived Skill Gaps among Students Due to Reduced Onsite Laboratory Activity

This study investigates skill gaps in the College of International Tourism and Hospitality Management due to reduced onsite laboratory classes during the COVID-19 pandemic. Significant correlations reveal interventions needed in specific courses, while students in Tourism Management report positive responses to virtual learning opportunities. Data from 65 respondents were gathered using a researcher-made survey. Descriptive methods and statistical analyses, including weighted mean and Pearson correlation, were employed to examine the research objectives. The study emphasizes the importance of hands-on experiential learning in Tourism and Hospitality programs and proposes guidelines to address skill gaps effectively. Further research is recommended to support identified gaps, expand to other programs, enhance guidelines, and explore technology for remote laboratory activities. Key Words: COVID-19, Online classes, Distance Learning, Laboratory, Instruction, perceptions of online learning, education during COVID-19, blended learning, Hospitality Education
Visualizing institutional activity using persistent identifier metadata

This article investigates the opportunities and current challenges involved in using persistent identifier (PID) metadata to understand institutional research activity, based on a 2022 data visualization project led by the ORCID US Community (administered by Lyrasis) in partnership with two fellows from the Drexel University LEADING program. The fellows created an R [See: https://simple.wikipedia.org/wiki/R_(programming_language), accessed September 12, 2023] script that can be used to retrieve information about publishing collaborations between researchers at a home organization and other organizations across the globe, based on metadata from researchers’ ORCID profiles and Crossref DOIs. The dataset produced by the script can be imported into a Tableau Public dashboard template, resulting in a data visualization that can be shared with multiple stakeholders to show trends in collaboration activity and emphasize how PIDs are useful for visualizing researcher activity and impact. However, multiple gaps in the ORCID and DOI metadata, such as authors with no ORCID iD, ORCID profiles with no institution or works data, and missing collaborator information in DOI records, indicate that we still have a long way to go before PIDs can be used to demonstrate a complete picture of research activity.
A Brief Review on Voice Assisted Hands-free Virtual Painting System

This study employs various Human-Computer Interaction methods to introduce an innovative system that empowers individuals with diverse abilities to use computers in novel ways. It combines gesture-based virtual mouse control and painting, along with eye and voice integration. Advanced eye-tracking technology to accurately detect and interpret ocular movements is incorporated. These movements are then mapped to specific on-screen actions, facilitated by the computer webcam. Simultaneously, hand gesture-based mouse control is also available, where it captures and analyzes intricate hand motions, translating them into precise on-screen commands. The hand tracking painting feature revolutionizes by providing users with a virtual canvas. Through hand movements, users can write and draw with ease with various tools, expanding the potential for interactive creativity. Easy switching between the traditional mouse, virtual mouse, and gesture-based painting modes are controlled by a voice assistant. This integration provides a comprehensive and adaptable digital environment, enhancing user convenience and mobility. This method seamlessly integrates of cutting-edge technologies, culminating in the creation of an inclusive and exceptionally intuitive user experience.
ANALISIS KEBUTUHAN PENGEMBANGAN MEDIA GUNA MENINGKATKAN MOTIVASI DAN HASIL BELAJAR MATEMATIKA KELAS VI SD

This activity is the beginning of efforts to develop learning media to provide a significant increase in motivation and success in learning grade VI mathematics in three elementary schools of Gajah Mada Sarwas Cluster 1, Pemalang District. For the method itself, it uses descriptive qualitative with several research tools, namely observation, interviews, questionnaires, the last one is document analysis from various assessments. Then the techniques used in data analysis include data reduction, data presentation, and conclusion making. Based on the results of the initial study, it can be seen that student motivation in learning and student learning outcomes in mathematics lessons are very low. The average class only reaches 68. The lack of facilities and infrastructure, inadequate learning environment conditions, and low support from parents are some of the causes of the lack of optimal application of learning media that can be said to be in accordance with the situation of students in general. This research activity can be a data on the initial needs of developing learning media in schools so that class VI students are more motivated in participating in teaching and learning activities at school so that learning outcomes are included in the good category.
Gender Equality in Narratives and Illustrations Contained in Integrated Thematic Books for Class I Students in the 2013 Curriculum in Primary Schools

This research aims to describe gender equality in the narratives and illustrations contained in the integrated thematic books for class I students in the 2013 curriculum in elementary schools. This study used descriptive qualitative method. The data collection methods used were literature study, observation, documentation and note taking. In data processing, we use a qualitative approach using Nature theory and semantics. Based on the results of the research and discussions that have been carried out, it can be concluded that the substance of the book's content contains gender inequality. Gender inequality is reflected through illustrative images and story text which fall into three categories, namely (1) Gender inequality in trait values, (2) Gender inequality in work roles, and (3) Gender inequality in hobbies. Each category depicts a woman who is feminine, weak, irrational, emotional and plays a lot of roles in domestic matters. Women are not in an equal position with men who have a masculine attitude and are able to play a role in public matters. Gender bias can influence student teaching and learning activities, such as: using appropriate methods that involve all students, classroom management such as assigning seats to the class teacher, dividing them randomly without looking at the gender and achievement of the students and changing them once a month so that students don't feel bored. and student interactions, especially those that occur outside the classroom, involve interactions between students. Male students usually play with members of the same gender, while female students also play with female friends to make it easier for students to choose the games they play
HISTORICAL BACKGROUND OF PERSONALITY-ORIENTED EDUCATION

Modern pedagogy owes much to the philosophers and thinkers of the past. A person’s cognitive search has long-standing roots. The search path ran through many spheres of philosophical, pedagogical, psychological, social, humanitarian, and natural research. Thanks to the era of globalization, expansion in the cognition of the human world, and the change in the basic spheres of mankind, education has given a full impetus to the world of education. At the beginning of the 1990s, world conditions created prerequisites for updating the theory and practice of pedagogical education. New technologies were used in the preparation of future teachers. The emergence in pedagogical science of the concept of “personality-oriented education” determined the set of views of thinkers and researchers of the past. Pedagogy and psychology of different historical periods, personality-oriented learning was considered from different perspectives. Although training is presented as a phenomenon for human needs, practice is still more rich than theory. Since personality-oriented education is personally-oriented, there are a multitude of concepts on this topic. The role and place of pedagogical views and concepts of the thinkers of the past in the formation of the ideological sources of modern pedagogical and psychological concepts are unique. Formed theories of the past show not only the views of thinkers but also the interests of social groups and the socio-political reality of the past. The article considers the historical prerequisites of personality-oriented education. Therefore, special attention is paid to the historical significance of personality-oriented education.
Implementasi Natural Language Processing (NLP) pada Layanan Pengelolaan Surat Kantor Camat Bukit Barisan

The application of Natural Language Processing in letter processing services aims to implement writing error detection or text processing in this system, apart from that it is also designed to be able to classify documents automatically according to their type. This system was built using the Python programming language with the Flask framework which is supported in the form of an NLP library. NLP is a branch of Artificial Intelligence that focuses on natural language processing. In designing and building this system using UML modeling. The development method used in this system is a prototype, several stages in this method, namely the first Listen to Customer (Listening to Customers/Clients), the second Build and Revise Mock-up (Build and Improve Prototype) and the last Customer Test Drives Mockup (Testing).&#x0D; Key Words: NLP;Text Processing; Document Classification;Letter Processing Services;Prototype.