Reviewerly/exHarmony huggingface dataset:
Applying Neuroscience Methods to Address Research Challenges in Management

Management research relies heavily on methods, most particularly surveys, that portray individuals’ subjective reports of their experiences but fail to capture their deep-seated or subconscious reactions. For instance, survey research has been subject to scrutiny over validity issues, self-report bias, social desirability, and endogeneity, among other things. The purpose of this symposium is to expose management audiences to neuroscientific research methods and how they address some of the limitations of traditional research methods. Presenters will demonstrate the application of physiological and neurological methods to the examination of classic processes in management at the individual and the group level, including decision- making in social-exchange situations and group cohesion and effectiveness. Common to all presented research is that it utilizes these methods to uncover an important aspect of a management phenomenon. For example, one study examined the role of team members’ heart rate in explaining group functioning, and another study tested how the ventrolateral prefrontal cortex is implicated in rational decision-making. Presenters will discuss ways to enhance the ecological validity and applicability of neuroscience technologies to management research. Beyond sharing findings from innovative research, we hope that this symposium will help illustrate to participants the feasibility of employing neuroscientific methodologies in management research. Group Heart Rate Synchrony and Group Cohesion: A Quantitative Review Presenter: Nir Milstein; Bar-Ilan U. Presenter: Ilanit Gordon; Bar Ilan U. Heart Rate Variability and Team Task Performance Presenter: Sebastiano Massaro; Surrey Business School Presenter: Rossana Castaldo; The U. of Warwick Presenter: Siu Wan; Warwick U. Presenter: Andra Serban; Virginia Commonwealth U. Presenter: Leandro Pecchia; Warwick U. Rationality Enhancement: The Effect of Anodal tDCS on the rVLPFC among Ultimatum Game Responders Presenter: Eliran Halali; Bar-Ilan U. Presenter: Michal Lavidor; Bar Ilan U. Presenter: Yoni Slater; Bar Ilan U. Wearable Digital Biomarkers for Organizational Research: Towards a Real-life Neuroscience Presenter: George Christopoulos; Nanyang Business School, NTU Singapore Presenter: Alvin Lee; Nanyang Business School
GLOBE 2020 on Trust: Preliminary Findings of Study of Cultural Foundations of Trust in 142 Countries

Trust is an important variable linked to employee performance, citizenship behaviors, commitment and others. However our current understanding of trust is based on western cultures and literature on interpersonal trust in the international context is as yet limited and fragmented. An important question is the link between culture and antecedents of trust in interpersonal relationship. GLOBE 2020 study aims to address this question by studying, among other topics, contemporary cultural norms and their relationship with generalized and interpersonal trust in 142 countries. In this panel symposium, we will present a review of the study, first round of findings regarding generalized trust and interpersonal trust. This session will be of value to AOM audience members through expanding knowledge of management practices across borders and offering new methodologies for international research and advance knowledge on trust dynamics across cultures.
SISTEM PRESENSI PENGENALAN WAJAH DENGAN METODE PRINCIPAL COMPONENT ANALYSIS (PCA)

ABSTRAKPada kegiatan belajar mengajar diadakan presensi. Presensi ini digunakan selain pihak pelajar juga digunakan oleh instanasi yang mengadakan kegiatan belajar mengajar. Dalam mengikuti perkuliahan kehadiran mahasiswa akan dicatat dalam presensi kehadiran.Algoritma Principal Component Analysis (PCA) yaitu salah satu metode yang dapat digunakan untuk mengolah citra wajah seseorang sehingga secara otomatis sistem akan mengenali wajah seseorang melalui ciri-ciri utamanya seperti mata, hidung, bibir, alis sebagai identitas. Tujuan dari penelitian ini adalah untuk merancang sistem presensi pengenalan wajah dengan menggunakan metode PCA dan mengetahui tingkat akurasi dari sistem presensi pengenalan wajah. Metode penelitian yang digunakan adalah metode waterfall. Hasil penelitian iniberhasil merancang aplikasi presensi mahasiswa berbasis pengenalan wajah dengan menerapkan Algoritma Principal Component Analysis (PCA). Tingkat keberhasilan pengenalan wajah dengan rata-rata nilai mencapai 88%. Untuk nilai keberhasilan pengenalan wajah tertinggi yaitu 90% sedangkan terendah yaitu 75%.Kata Kunci : presensi, pengenalan wajah, algoritma PCA.Â ABSTRACTIn teaching and learning activities, attendance is held. This presence is used in addition to the students as well as by institutions that hold teaching and learning activities. In attending lectures, student attendance will be recorded in attendance. Principal Component Analysis (PCA) algorithm is a method that can be used to process a person's face image so that the system will automatically recognize a person's face through its main characteristics such as eyes, nose, lips, eyebrows as identity. The purpose of this study was to design a facial recognition presence system using the PCA method and to determine the accuracy level of the facial recognition presence system. The research method used is the waterfall method. The results of this study succeeded in designing a face recognition-based student presence application by applying the Principal Component Analysis (PCA) Algorithm. The success rate of face recognition with an average score of 88%. The highest success rate for facial recognition is 90% while the lowest is 75%.Keywords: presence, face recognition, PCA algorithm.
Industrial Application of Augmented Reality: Maintenance of Multi-process Robotic Cell

Augmented reality is a modern technique of data representation with the help of creating images or animation in the physical world. This technique can be effective in the industry to optimize and understand the industrial process with ease. This paperwork focused on the application of augmented reality considering specific domains as maintenance of the multi-process robotic cell (MPRC). MPRC is designed to perform the assembly, testing and packing of the direction control valves. There is a need for maintenance of some common issues while working with automatic screw feeders. Maintenance of screw feeders using manuals is one of the hectic and time-consuming processes, so creating maintenance guidance of screw feeders and some replacement of parts with the help of augmented reality is one of the main objectives of the paper. With the use of Creo illustrator 3D sequences are created to superimpose the same when viewed through the Vuforia view app. Generation of augmented reality experience is done on Vuforia studio. The use of augmented reality will increase the success rate for first-time users (while doing maintenance) which increases the efficiency of the firm.
The Development of Make a Match Card Learning Media on Animal Tissue Material to Improve Cognitive Learning Results

The education system is defined as a process of learning something new, where the process can develop the potential within and then increase student interest in learning Increasing students' learning interest will have a good impact on teaching and learning activities so that learning results can be achieved. The learning that has been carried out so far seems to be still less than optimal, while students are required to master all existing concepts, especially on Animal Tissue material. In addition, the lack of optimal learning media is one of the reasons why student learning results’ decline. For that, it takes a learning media that can act as a bridge to understanding the concepts. The purpose of this research was to describe the level of effectiveness and practicality of using the Make a-Match cards on Animal Tissue material. This research was quantitative descriptive research. The model used was ASSURE with six stages. This study used a one group pretest-posttest design. The trial was carried out at XI MIPA 4 SMAN 8 Surabaya. Research instruments included test sheets, validation, observation, and student responses. The results showed that the completeness indicator scores 75% in the complete category, validation scores 79.3% in the valid category, the implementation observation was 100% in the very good category, and student responses were 94.5% in the very practical category. Thus, the Make a-Match Card learning media can be used for the learning process at school.
The Algorithm for Refining a Framework of Scientific and Technological Field in Bibliometric Databases on the Example of Synchrotron, Neutron Research and Development

To assess the publication effectiveness of the Federal Scientific and Technical Program for the Development of Synchrotron and Neutron Research and Research Infrastructure for 2019–2027 (Program), its developers proposed the special search query in Web of Science Core Collection (WoS). The purpose of the study is to determine effective approaches to adaptation of the search query providing the most complete coverage of the Program topics publications and applicable to international and domestic databases. In publications from applications for participation in the Program, we identified keywords to validate the search query. We used keyword search in WoS, Scopus, core of Russian Index of Science Citation, identification of publications by using WoS and Scopus APIs, graph building in VOSviewer, Yet Another Keyword Extractor text mining method. On the basis of empirical data, a multistage algorithm was proposed to the formation of a specific scientific and technological field collection of publications in bibliometric databases.
THE POWERFUL AND CONTROVERSIAL STRATEGY OF USING STUDENTS’ FIRST LANGUAGE KNOWLEDGE IN FOREIGN LANGUAGE TEACHING

"This study explores the extent to which using the students’ first language in teaching foreign languages is beneficial, and recommends some successful strategies of putting L1 knowledge to good use. Given that it is widely recommended to avoid the use of L1 in favour of monolingual approaches, that provide complete language immersion, it is especially challenging to define the situations when students’ first language can be used as a valuable and beneficial tool to support foreign language learning. Although L1 use is widely discouraged, some researchers suggest that, if used correctly and coherently, it does not hinder, but promotes language learning. In order to establish the extent to which L1 could support foreign language learning, this study sheds light on strategies used during teaching Romanian as a foreign language, aiming to make enlightening connections between L1 and L2, thus exploring the similarities between Romanian and Italian, the mother tongue of the students. The teacher used basic information about etymology, language history and phonetic transformations to explain the connections between words in Romanian and Italian, based on the common Latin inheritance. Moreover, the teacher used brief explanations and informal comments in Italian to build a meaningful relation with the students and create an inclusive, friendly and relaxed environment for language teaching. This comparative linguistics approach was assessed in relation with the results obtained by another class of Italian students, where the teacher made no such linguistic comparisons and avoided use of L1."
ELABORATION OF AN INTERACTIVE ELECTRONIC BOOK OF MEASURES OF CENTRAL TENDENCY

"These are the advantages of technology: multimedia presentation, interaction, personalization, etc. Within this context an interactive digital book of the characteristics of the information was realized. In a data set, the following characteristics are usually of paramount importance: 1. the center, 2. the variation, 3. the distribution, 4. the atypical values and 5. The characteristics of the data that change over time. It is important to understand the standard deviation values using tools such as the general rule of rank. Because technology allows us to get many of these statistics automatically, it is not so important to memorize formulas or perform complex arithmetic calculations by hand on the other hand, so that the students can concentrate on understanding and interpreting the values that are obtained from them. The interactive digital book of measures of central tendency contemplates that each chapter indicates prerequisites, learning objectives, written development of the subject, videos with explanation, interactive exercises, widget (html 5. Interactive galleries, interactive images, etc.) review questions. The interactive digital book will provide students with full-screen experience with galleries, videos, interactive diagrams, 3D objects, and math expressions and more; these books give life to the content in ways that a printed page cannot do. Students will no longer be limited to static images that illustrate traditional texts, but can now immerse themselves in an image with interactive subtitles, rotate a 3D object or make an answer come to life in a chapter review. You can flip through a book with a single finger on the screen. They can also highlight text, take notes, look up content and find definitions in a glossary very easily. In addition, they can take them wherever they go, which will allow students not only to learn between the walls of the classroom, but also in the virtual space that make up these books."
SCIENCE TEACHERS’ PERCEPTIONS ON USING MOBILE-BASED FORMATIVE ASSESSMENT FOR INQUIRY-BASED TEACHING: BENEFITS AND CONSTRAINTS

"The proliferation and use of mobile technologies in and outside the classroom has contributed to the rapid extensive implementation of mobile-based teaching and learning practices across the globe. In the 21st century, using mobile devices for assessment purposes has become the new and important phenomenon for researchers and teachers. This paper reports the findings of a qualitative case study of four science teachers’ perceptions on the use of mobile-based formative assessment for inquiry-based teaching within their classrooms. Participant teachers were purposively selected from schools around the Gauteng Province, South Africa. Data was gathered through baseline questionnaire, classroom observations and stimulated-recall discussions. The findings from the baseline questionnaire indicated that all four participating teachers have adequate knowledge and understanding on using inquiry-based teaching, formative assessment, and technology. Challenges such as inadequate teaching and learning time, inadequate resources, no-cell phone school policy, unstable network connectivity and teachers’ inadequate knowledge and skills were established from classroom observations and stimulated-recall discussions as common barriers to effective enactment of mobile-based formative assessment for inquiry-based teaching from all the four teachers. The four science teachers indicated benefits of implementing mobile-based formative assessment for learners such as enhanced learner engagement, participation, motivation, and learners having fun while they comprehend scientific concepts during the learning process. Although the use of mobile-based formative assessment was reported to be beneficial in the teaching and learning experience, science teachers also mentioned that the curriculum must be flexible in terms of time allocated, for mobile-based formative assessment to be effectively implemented during inquiry-based teaching."
Theeffect Of Using Pcture Series On Young Learners’ Vocabulary Mastery

Abstract The aim of the research is to know the effect of using picture series on young learners’ vocabulary mastery at the third grade of MIS Luqman Al Hakim TanjungMorawa2016/2017. The design of this research was experimental method that consists of pre-test (X1), treatment (T) and post-test (X2). Population of this research was the whole third grade students in MIS Luqman Al Hakim TanjungMorawa. The sample of this research was the Class III-Utsman Bin Affan consist 20 students. In collecting the data, the researcher used pre-test and post-test. Pre-test is given to know young learners’ vocabulary mastery before getting treatment by using picture series. Post-test is given to know young learners’ vocabulary mastery after getting treatment by using picture series. The treatment has been given as many three times to the sample. After the data collected, it was analyzed by using t-test. The result showed the value of‘t’ observed = 3.085 and ‘t’ table = 2.024. Therefore, the value of ‘t’ table exceeds ‘t’ observed value. It means that Ho has no influence on young learners’ vocabulary mastery and Ha has influence on young learners’ vocabulary mastery. In other words, the picture series was effective in teaching vocabulary on students of class III-Utsman bin AffanMIS Luqman Al Hakim TanjungMorawa.Keywords:Picture Series, Young Learners, Vocabulary Mastery
Petunjuk Penggunaan Alat Laboratorium Tanah dan Agroklimat dengan Fitur Stiker Quick Respone Code (Qr Code)

Abstract. Laboratory management is an important thing where the laboratory is a facility or as a place that can be used to apply a scientific theory. Labor managers usually print documents on A4- size paper and paste them next to laboratory tools. This causes documents to be damaged quickly, can reduce aesthetics, and not suitable for small laboratory tools. The purpose of making this QR- Code sticker, the author was designed to serve laboratory users and may provide digital information and materials to laboratory users to acquire knowledge.The process of making QR-Code was conducted for 2 months, from August to September 2021.QR-Code manufacturing stages were inventory of laboratory tools, inputting documents into Google drive, testing with blackbox methods and attaching QR-Code stickers to laboratory tools. The results obtained of QR-Code stickers are fliyer and QR-Code stickers taped to several soil and agroclimat laboratory tools, it is hoped that the laboratory management system can be improved better
Provable concept learning for interpretable predictions using  variational autoencoders

In safety-critical applications, practitioners are reluctant to trust neural networks when no interpretable explanations are available. Many attempts to provide such explanations revolve around pixel-based attributions or use previously known concepts. In this paper we aim to provide explanations by provably identifying \emph{high-level, previously unknown ground-truth concepts}. To this end, we propose a probabilistic modeling framework to derive (C)oncept (L)earning and (P)rediction (CLAP) -- a VAE-based classifier that uses visually interpretable concepts as predictors for a simple classifier. Assuming a generative model for the ground-truth concepts, we prove that CLAP is able to identify them while attaining optimal classification accuracy. Our experiments on synthetic datasets verify that CLAP identifies distinct ground-truth concepts on synthetic datasets and yields promising results on the medical Chest X-Ray dataset.
Introducing MicroPython

Now that we have learned more about the Raspberry Pi Pico and saw a demonstration of how to connect to it from our PC, it is time to learn more about MicroPython – how we can get started, how it works, and examples of what you can do with your own Pico.
How to Program in MicroPython

Now that we have a basic understanding of the Pico and have had a short introduction to MicroPython, we are ready to learn more about programming in MicroPython. Mastering MicroPython is very easy, and some may suggest it doesn’t require any formal training to use. This is largely true and thus you should be able to write MicroPython scripts with only a little bit of knowledge about the language.
Classroom Slide Narration System

Slide presentations are an effective and efficient tool used by the teaching community for classroom communication. However, this teaching model can be challenging for the blind and visually impaired (vi) students. As such student required a personal human assistance for understand the presented slide. This shortcoming motivates us to design a Classroom Slide Narration System (csns) that generates audio descriptions corresponding to the slide content. This problem poses as an image-to-markup language generation task. The initial step is to extract logical regions such as title, text, equation, figure, and table from the slide image. In the classroom slide images, the logical regions are distributed based on the location of the image. To utilize the location of the logical regions for slide image segmentation, we propose the architecture, Classroom Slide Segmentation Network (cssn). The unique attributes of this architecture differs from most other semantic segmentation networks. Publicly available benchmark datasets such as WiSe and SPaSe are used to validate the performance of our segmentation architecture. We obtained $$9.54\%$$ segmentation accuracy improvement in WiSe dataset. We extract content (information) from the slide using four well-established modules such as optical character recognition (ocr), figure classification, equation description, and table structure recognizer. With this information, we build a Classroom Slide Narration System (csns) to help vi students understand the slide content. The users have given better feedback on the quality output of the proposed csns in comparison to existing systems like Facebook’s Automatic Alt-Text (aat) and Tesseract.
Teaching Simple Constructive Proofs with Haskell Programs

In recent years we have explored using Haskell alongside a traditional mathematical formalism in our large-enrolment university course on topics including logic and formal languages, aiming to offer our students a programming perspective on these mathematical topics. We have found it possible to offer almost all formative and summative assessment through an interactive learning platform, using Haskell as a lingua franca for digital exercises across our broad syllabus. One of the hardest exercises to convert into this format are traditional written proofs conveying constructive arguments. In this paper we reflect on the digitisation of this kind of exercise. We share many examples of Haskell exercises designed to target similar skills to written proof exercises across topics in propositional logic and formal languages, discussing various aspects of the design of such exercises. We also catalogue a sample of student responses to such exercises. This discussion contributes to our broader exploration of programming problems as a flexible digital medium for learning and assessment.
Deep Learned Face Swapping in Feature Film Production

In visual effects for film, replacement of stunt performers’ facial likeness for their doubled actor counterparts using traditional computer graphics methods is a multi-stage, labor intensive task. Recently, deep learning techniques have made a compelling argument to train neural networks to learn how to take an image of a person’s face and convincingly infer a rendered image of a second person’s face with a previously unseen perspective, pose and lighting environment.
Eternals: Tackling The Large Scale Water Whirlpools

In Eternals third act we were faced with the challenge of creating extremely large water whirlpools that would spread for kilometres wide and deep. It was imperative that we approached this in an optimal way that would allow artistic control, reasonable turnaround time whilst maintaining a plausible and realistic look. This article focuses in the methodology used and how we took advantage of our in-house package Loki to achieve the results.