Reviewerly/exHarmony huggingface dataset:
Penn State's graduate program in acoustics

This poster describes faculty research areas, laboratory facilities, student demographics, successful graduates, and recent enrollment and employment trends for the Graduate Program in Acoustics at Penn State—the only program in the U.S. offering the Ph.D. in Acoustics as well as M.S. and M.Eng. degrees. The Graduate Program in Acoustics is an interdisciplinary program with faculty from a variety of academic disciplines; administratively aligned with the College of Engineering and closely affiliated with the Applied Research Laboratory. Research areas include: structural acoustics, nonlinear acoustics, architectural acoustics, signal processing, aeroacoustics, biomedical ultrasound, transducers, computational acoustics, noise and vibration control, acoustic metamaterials, psychoacoustics, and underwater acoustics. Course offerings include fundamentals of acoustics and vibration, electroacoustic transducers, signal processing, acoustics in fluid media, sound and structure interaction, digital signal processing, experimental techniques, acoustic measurements and data analysis, ocean acoustics, architectural acoustics, noise control engineering, nonlinear acoustics, outdoor sound propagation, computational acoustics, biomedical ultrasound, flow induced noise, spatial sound and three-dimensional audio, and the acoustics of musical instruments. More than 750 Penn State Acoustics graduates serve widely throughout military and government labs, academic institutions, consulting firms, and industry.
A new approach to smallness in hypermodules

In this paper, we extend the concept of small subhypermodules to all types of hypermodules and give nontrivial examples for this concept. As an application, we define and study lifting hypermodules via small subhypermodules.
Predictive Сompetence Formation Strategies of Students Pursuing a Master’s Degree in Pedagogy

The current research becomes relevant due to the transition of higher education in the Russian Federation to a two-level system and country's integration into the world educational space.Training of master's student teachers is carried out in all federal and regional universities regardless of the status (public or private).The ability to predict is a necessary skill for professional stability and perspective, as well as for prognostic orientation in the education system ensuring its qualitative organization and effectiveness.This article aims to reveal the main approaches to study the prognostic competence formation.The main approach to study master's student teachers' prognostic skills is the analysis and systematization of modern local research.The article reveals effective methods and means of forming master's student teachers' prognostic skills and proposes two ways to consider this problem.The methods of improving future teachers' training have been justified.Training can be improved with the help of integrated pedagogical support for the prognostic competence formation.The main goal is to attract future teachers to research activities.The materials presented in the article can be used by the teachers of higher educational institutions.
Development of Hiryu-II: A Super Long Reach Articulated Manipulator Driven by Thrusters

Robotic manipulators that use thrusters for weight compensation are an active research topic because they can exceed the limits of elongation. However, existing manipulators that use thrusters have limited elongation because the hardware design is not sophisticated enough. This paper focuses on overcoming these limitations and realizing longer articulated manipulators. As a means of realizing such a manipulator, we adopted the mechanism of Hiryu-II, which was previously developed by our research group. In order to cancel the moment of each link, the thruster position was derived in consideration of the balance between the static load of the manipulator and the thrust force. Consequently, we demonstrated the feasibility of the proposed manipulator with a prototype of length 6.6 m.
Two methods for acoustic modeling of the saxophone mouthpiece

The mouthpiece is one of the key components in determining the sound and the playability of the saxophone. Assuming plane-wave propagation inside the mouthpiece, two different models are proposed for acoustic modeling of the saxophone mouthpiece. First, a Transfer Matrix (TM) model is derived from a finite element model and is then validated by comparing the calculated input impedance of a mouthpiece-cone structure with measurements. Then, by adapting a methodology traditionally used in modeling the human vocal tract, a Geometric Model (GM) is used to approximate the mouthpiece as a series of acoustic tubes of varying cross-sectional areas, and its accuracy is examined by comparing it with the TM mouthpiece model. We couple both models to a measured input impedance of an alto saxophone and provide a comparison of both methods and their impact on different fingering configurations. Finally, we discuss applications in sound synthesis and in mouthpiece design.
No olvidemos la memoria

espanolLa tendencia educativa actual promueve que nuestro alumnado aprenda de una manera mas practica, en el que la memoria no juegue un papel predominante. Sin embargo, cuando un estudiante interactua y participa activamente con el conocimiento, la informacion puede integrarse y consolidarse mas facilmente en los circuitos neuronales de la memoria a largo plazo. Asimismo, las practicas de ensenanza cooperativas, cuando debaten, explican, predicen o discuten contenidos, permiten una mayor y mejor comprension de los conceptos o ideas. Estrategias de memoria visual y auditivas, entre otras, nos ayudaran a trabajar de manera practica la memoria en nuestras aulas. EnglishThe current educational preference promotes our students» learning in a more practical way, in which memory does not play a predominant role. However, when a student participates and interacts actively with knowledge, information can be integrated and consolidated more easily in neural circuits of long-term memory. Likewise, cooperative learning practices, when debating, explaining, predicting or discussing contents, allow a greater and better understanding of concepts or ideas. Visual and auditory memory strategies, among others, will help us work in a more practical manner in our classrooms.
ANALISIS KESALAHAN BERBAHASA PADA SURAT RESMI ORGANISASI KELUARGA BESAR MAHASISWA FKIP UNTIRTA TAHUN 2018 (ANALYSIS OF LANGUAGE ERRORS IN THE OFFICIAL LETTER OF THE STUDENT FAMILY ORGANIZATION FKIP UNTIRTA IN 2018)

This scientific article examines language errors in the official letter of the 2018 KBM FKIP UNTIRTA organization on PUEBI (Indonesian Spelling General Guidelines) and official letter provisions. The process of collecting data is done by referring to the technique and the technique of recording the collected data is classified according to the topic of the study. The data analysis technique is descriptive qualitative. The conclusions of this study are First, there were errors of 77 errors with the distribution of errors using PUEBI (General Indonesian Spelling Guidelines) as many as 59 errors and TKSR (Provisions for Official Letter Structure) as many as 18 errors; Second, the type of PUEBI error that dominates, namely capital letter usage errors; The three organizations that made mistakes were dominated by LSIP UKM (Student Activity Unit of the Circleof Islamic Studies and Education). Keywords: language error analysis, PUEBI, official letter structure provisionsArtikel ilmiah ini mengkaji kesalahan berbahasa pada surat resmi organisasi KBM FKIP UNTIRTA tahun 2018 pada tinjauan PUEBI (Pedoman Umum Ejaan Bahasa Indonesia ) dan ketentuan surat resmi. Proses pengumpulan data di lakukan dengan teknik simak dan teknik catat data yang terkumpul diklasifikasikan berdasarkan topik kajian. Teknik analisis data bersifat deskriftif kualitatif. Simpulan dari penelitian ini adalah Pertama, terdapat kesalahan sebanyak 77 buah kesalahan dengan pembagian kesalahan penggunaan PUEBI (Pedoman Umum Ejaan Bahasa Indonesia) sebanyak 59 kesalahan dan TKSR (Ketentuan Struktur Surat Resmi) sebanyak 18 buah kesalahan; Kedua, Jenis kesalahan PUEBI yang mendominasi, yaitu kesalahan pemakaian huruf besar; Ketiga organisasi yang melakukan kesalahan didominasi oleh UKM LSIP (Unit Kegiatan Mahasiswa Lingkar Studi Islam dan Pendidikan). Kata Kunci:analisis kesalahan berbahasa, PUEBI, ketentuan struktur surat resmi
NLP in Online Reviews

Reviews are a significant part of online buying cycles today. Though the “vocal minority” is few, the number of users who are impacted by reviews is significantly large. One study found that 63% of users prefer online sites that have reviews. Customers who visit review pages have an astounding 105% more chance of buying from the website (https://cxl.com/blog/user-generated-reviews/#:~:text=Reevoo%20found%20that%2050%20or,site%20that%20has%20user%20reviews). Mining these reviews gives insights to both the online service provider as well as the seller who has listed the product. Other than knowing whether the customer is happy or not, we can also know how users feel about each feature in the product. Sometimes reviewers write a lot about their lifestyle and the use case they have found for the product as well. This can provide insights into things like product-market fit or the value proposition for the product. This can later be used in brand communications for the product. We can also find opportunities or gaps in a category and hence get the “voice of customer” to create a new product or even start a new business.
Integrating Learner and User Experience Design: A Bidirectional Approach

As online learning experiences become more common in higher education, professional development, and lifelong learning contexts, the importance of understanding how learning experience design and user experience design intersect increases. In this chapter, we offer a vision for a bidirectional approach to learning design through the presentation of two design cases where both learning experience design and user experience design approaches inform the design of tools and designs for learning. We explicate two forms of bidirectional learning: (a) learning that occurs through academic partnership, which includes experiential learning and learning through groups and teams, and (b) learning through inquiry and through mental models. In this chapter, we present a working context that embodies these two forms of bidirectional learning, one that emphasizes shared activity and common projects, a joint working space, and prioritization of teamwork. This context fosters bidirectional learning across two disciplines, allowing team members in both disciplines to learn from each other and to develop shared practices and understanding of disciplinary approaches to design. We conclude with a list of guiding principles for learning experience design and user experience design collaborations.
SAD: Saliency Adversarial Defense without Adversarial Training

Adversarial training is one of the most effective methods for defending adversarial attacks, but it is computationally costly. In this paper, we propose Saliency Adversarial Defense (SAD), an efficient defense algorithm that avoids adversarial training. The saliency map is added to the input with a hybridization ratio to enhance those pixels that are important for making decisions. This process causes a distribution shift to the original data. Interestingly, we find that this shift can be effectively fixed by updating the statistics of batch normalization with the processed data without further training. We justify the algorithm with a linear model that the added saliency maps pull data away from its closest decision boundary. Updating BN effectively evolves the decision boundary to fit the new data. As a result, the distance between the decision boundary and the original inputs are increased such that the model is able to defend stronger attacks and thus improve robustness. Then we show in experiments that the results still hold for complex models and datasets. Our results demonstrate that SAD is superior in defending various attacks, including both white-box and black-box ones.
Designing a public university website that integrates web usability and web aesthetics: A model validation

The role of a website is becoming vital in supporting the daily function of a public university. Public university websites are now becoming more like a hub that offers various services for various categories ofusers. With the different type of users, it posed a new challenge for web designers, especially in term of integrating the web usability and aesthetics to ensure it is suitable for all users. Both usability and aesthetics have its own importance in the overall web performance thus requires a proper integration mechanism. Inorder to ensure that there is a guideline for web designers to assist them in designing a proper website, a model was developed that functions as a guideline in assisting web designers to design a public university website that not only high in term of usability but at the same time pleasing in term of aesthetics. The model has gone through a verification process through experts is web design field to ensure that the model was in line with the appropriate HCI principle and web design practice. After the process was done, the model needs to be validated to ensure that it is practical to be used during the actual web design process. In this paper, it discussed the validation process and the results of the validation of the model that was developed.The model was validated by public universities web designers to ensure that this model is practical to be used during designing a public university website.
Bayesian Online Meta-Learning

Neural networks are known to suffer from catastrophic forgetting when trained on sequential datasets. While there have been numerous attempts to solve this problem for large-scale supervised classification, little has been done to overcome catastrophic forgetting for few-shot classification problems. Few-shot meta-learning algorithms often require all few-shot tasks to be readily available in a batch for training. The popular gradient-based model-agnostic meta-learning algorithm (MAML) is a typical algorithm that suffers from these limitations. This work introduces a Bayesian online meta-learning framework to tackle the catastrophic forgetting and the sequential few-shot tasks problems. Our framework incorporates MAML into a Bayesian online learning algorithm with Laplace approximation or variational inference. This framework enables few-shot classification on a range of sequentially arriving datasets with a single meta-learned model and training on sequentially arriving few-shot tasks. The experimental evaluations demonstrate that our framework can effectively prevent catastrophic forgetting and is capable of online meta-learning in various few-shot classification settings.
Users' head movement obtained from avatars in social VR applications

Virtual Reality has been endorsed as a highly beneficial tool for face and hand-head gesture research [Sidenmark and Gellersen (2019), ACM Trans. Computer-Human Interaction 27(4)]. Studies have shown [i.e., Xu, X. et al., J. Biomech. 48(4), 721–724 (2015)] that avatars accurately simulate user movements and allow researchers to obtain users' movements remotely without in-person contact or external recordings taken by the users. This study examines head movements of avatars in three popular social VR applications (Altspace, Oculus Home, and vTime XR) using Openface 2.0 [Baltrusaitis et al., in 13th IEEE International Conference on Automatic Face &amp; Gesture Recognition (FG 2018) (2018), pp. 59–66], software that measures head movements in a video. In each of these three platforms, we recorded a user making a sequence of head movements, rotating side-to-side and up-and-down to their maximum extension. Pilot results show that avatar movements in all three apps could be tracked by OpenFace 2.0. Further analysis will include which application's avatars best represent the user's real-time movements. This study provides insight into speech behaviour research and whether user movements are analysable via an avatar, without in-person contact or lab facilities under the new COVID-19 regulations.
PENGEMBANGAN MODUL BERNUANSA KEMARITIMAN PADA MATERI ARITMETIKA SOSIAL KELAS VII SMP

This module is designed with the aim of increasing students' interest in learning to make it more attractive and able to keep up with the times. This research is a type of Research and Development (R&D). The development model uses 4D namely, define, design, development, disseminate, but it is only limited to the development stage. The data in the study were collected by using a questionnaire and documentation. The research instrument used was the media expert validation sheet, the material expert validation, and the linguist validation using the Method of Successive Ratings (MSR) followed by the calculation of the index number to measure the validity of the module. The validation results from 6 validators show valid and feasible criteria to be tested in the field
SumGra: Mining Frequent Subgraphs in Multigraphs

For more than a decade, extracting frequent patterns from single large graphs has been one of the research focuses. However, in this era of data eruption, rich and complex data is being generated at an unprecedented rate. This complex data can be represented as a multigraph structure - a generic and rich graph representation. In this paper, we propose a novel frequent subgraph mining approach MuGraM that can be applied to MuGraM is a generic frequent subgraph mining algorithm that discovers frequent multigraph patterns. MuGraM eciently performs the task of subgraph matching, which is crucial for support measure, and further leverages several optimization techniques for swift discovery of frequent subgraphs. Our experiments reveal two things: MuGraM discovers multigraph patterns, where other existing approaches are unable to do so; MuGraM, when applied to simple graphs, outperforms the state of the art approaches by at least one order of magnitude.This implementation is the one that has been used in :V. Ingalalli, D. Ienco and P. Poncelet. Mining frequent subgraphs in multigraphs. In Information Sciences, Vol. 451-452, July 2018, pp. 50-66.
Guides: Introduction to Open Access: Home

This guide is meant to introduce library patrons to Open Access (OA) tools, resources, the movement and its history and controversies.
aRaspberry Pi-Based Face Recognition by Using Eigenface Algorithm to Detect Cheating on Exams

On the premise of changing educational ideas, through comparative methods, this paper studies the compilation of textbooks, classroom teaching and extracurricular practice of the public compulsory course Chinese Studies and Life in order to highlight the purpose of cultivating people by virtue. The conclusion is that the construction of teaching materials runs through the main line of curriculum ideological and political education; Classroom teaching revolves around the main axis of life enlightenment; Extracurricular practice highlights the theme of cultural self-confidence.
Web Designing For Madrasah Aliyah Negeri (MAN) 2 Payakumbuh

Madrasah Aliyah Negeri (MAN) 2 Payakumbuh is one of the schools under the Ministry of Religion. MAN 2 Payakumbuh in Payakumbuh City West Sumatra province is very difficult in introducing themselves to the wider community because they do not have an information system that can be accessed at any time. Therefore, the researcher made a website application in MAN 2 Payakumbuh. With this website application, it is expected that Payakumbuh MAN 2 can provide information easily. Information about MAN 2 Payakumbuh can be easily accessed at any time by the wider community. Making this website using PHP My SQL. The research method used is an experimental and qualitative method, namely in-depth interviews with prospective users. The website designed consists of several pages, including the main page, profile, facilities, news, agenda, achievements, and contacts. The design of this website is complete so that it can cover most needs and solve all problems such as the purpose of making this website application.
TALLERES METODOLÓGICOS PARA PREPARAR A LOS DOCENTES EN LA EDUCACIÓN A DISTANCIA / METHODOLOGICAL WORKSHOPS TO TRAIN PROFESSORS IN DISTANCE EDUCATION

Distance Education is a system supported by technological and educational resources where students do not need to physically attend the classroom. Furthermore, academic responsibility is assumed by a certified institution which provides trained tutors and a virtual Internet campus in which the academic process unfolds. The greatest deficiencies in the use of this system are the way of conceiving, organizing and executing Distance Education, as well as the methodological resources that support it. Hence, this article aims to propose workshops for the methodological training in Distance Education of professors from the University of Sancti Spiritus Jose Marti Perez (UNISS), who do not have the necessary knowledge concerning the use of this technology which is affecting its effective application.In this paper, theoretical and empirical methods were used, which allowed us to know the historical evolution of the declared concepts and the potentialities and weaknesses of the sample. This article´s contribution is the elaboration of workshops for the methodological training in Distance Education for the professors from the university. These workshops promote the self-management of teacher learning and the creation of a reservoir of evidence that allows the updating and permanent improvement of the methodological training process of the teaching staff.
ONLINE THESIS GUIDANCE MANAGEMENT INFORMATION SYSTEM AT MITRA INDONESIA UNIVERSITY

The process of guiding the final project at the University of Mitra Indonesia has several obstacles when the process of working on student skirpsi is hampered, the difficulty of students and supervisors to conduct the guidance process. To overcome the existing problems, one effort is to build a thesis guidance information system. Therefore, the author proposes a thesis guidance information system that can be accessed anywhere and anytime. The online thesis guidance system that has been built can be applied to facilitate lecturers in examining and revising documents sent by students so that the design of an online thesis guidance system can help the final project guidance process at theUniversity of Mitra Indonesia, starting from the student registration process, sending files and interacting with the guidance process between lecturers and students. In addition, with the existence of an online thesis guidance system, it is expected that the process of implementing thesis guidance for students and lecturers will become clearer and more targeted.
Performance Analysis of SMDO Method with Benchmark Functions with Matlab Toolbox

SMDO method is a set and trial based optimization algorithm that is developed for online fine-tuning of controller parameters. SMDO method is implemented for several controller tuning applications. It can search parameter space with random backward and forward steps of each parameter. This property reduces risk of testing unstable control system configurations in controller design and thus makes the SMDO method more suitable for online parameter tuning of experimental systems. However, performance of SMDO has not been evaluated previously for benchmark functions in comparison with other well known heuristic optimization methods. This study aims to compare performances of Artificial Bee Colony (ABC), Cuckoo Search Optimization (CK), Particle Swarm Optimization (PSO) and Stochastic Multi-parameters Divergence Optimization (SMDO) methods for benchmark functions. Therefore, a benchmark tests program that is a user-friendly MATLAB GUI is introduced for user. This program can be downloaded from https://www.mathworks.com/matlabcentral/fileexchange/75043-smdo-method-with-benchmark-functions