Reviewerly/exHarmony huggingface dataset:
Popularizing Nutrition Education to Improve Student Nutrition Literacy

Health is an eternal theme for mankind. The World Health Organization (1986) defines health as a state of physical, mental, and social wellbeing of the individual. Nutrition is one of the major external determinants of human health. The concept of “nutrition literacy” was first raised by Tenhave et al. (1997) in their article titled “Literacy Assessment in a Cardiovascular Nutrition Education Setting.” Silk et al. (2008) defined nutrition literacy as the degree to which individuals have the capacity to obtain, process, and understand nutrition information and skills needed in order to make appropriate nutrition decisions. Adequate nutrition literacy is beneficial for the individual obtaining correct dietary information, improving their dietary patterns and preventing chronic diseases.
Immunohistochemical Analysis of Breast Cancer at BP Koirala Memorial Cancer Hospital Nepal

Introduction: Immunohistochemistry test is used to characterize intracellular proteins or various cell surfaces in all tissues. It is used to solve diagnostic problems or for determining prognosis and response to therapy in breast pathology. ER, PR and HER2 are well established biomarkers for breast cancer prognosis and for guiding treatment. Materials and methods: This is retrospective study at Department of Pathology of B P Koirala Memorial Cancer Hospital in Bharatpur, Chitwan, Nepal effective from 15 April 2020 to 14 April 2021. All the data were retrieved and analyzed. Results: Total 205 breast cancer cases were analyzed, among them 198 cases were females accounting 96.5 % and 7 cases were males accounting 3.5 %. Altogether 125 (60.9%) cases had immunohistochemistry panel of ER, PR and HER2 tests done. 48% cases were ER positive, 42.4% cases were PR positive, 34.4% were HER2 positive and 9.9% cases were triple negative. Conclusion: Breast cancer is more common in females than in males. Most common affected age group was 41-50 years. Most common histological type was invasive ductal carcinoma NST. In order to improve breast cancer outcomes and survival, early diagnosis, immunohistochemistry hormone analysis and screening tests should be done.
Deep Learning-Based Automatic Modulation Classification Using Robust CNN Architecture for Cognitive Radio Networks

Automatic modulation classification (AMC) is an essential technique in intelligent receivers of non-cooperative communication systems such as cognitive radio networks and military applications. This article proposes a robust automatic modulation classification model based on a new architecture of a convolutional neural network (CNN). The basic building convolutional blocks of the proposed model include asymmetric kernels organized in parallel combinations to extract more meaningful and powerful features from the raw I/Q sequences of the received signals. These blocks are connected via skip connection to avoid vanishing gradient problems. The experimental results reveal that the proposed model performs well in classifying nine different modulation schemes simulated with different real wireless channel impairments, including AWGN, Rician multipath fading, and clock offset. The performance of the proposed system systems shows that it outperforms its best rivals from the literature in recognizing the modulation type. The proposed CNN architecture remarkably improves classification accuracy at low SNRs, which is appropriate in realistic scenarios. It achieves 86.1% accuracy at −2 dB SNR. Furthermore, it reaches an accuracy of 96.5% at 0 dB SNR and 99.8% at 10 dB SNR. The proposed architecture has strong feature extraction abilities that can effectively recognize 16QAM and 64QAM signals, the challenging modulation schemes of the same modulation family, with an overall average accuracy of 81.02%.
Analysis of Reading Readiness in Indonesian Subject Students with Spelling Method Grade 3 SDN 237 Kopo Elok

&#x0D; &#x0D; &#x0D; &#x0D; This research has the objective of knowing reading readiness for Indonesian students in the spelling method for class 3 of SD Negeri 237 Kopo Elok and what factors are inhibiting and supporting factors in reading readiness in Indonesian students with spelling. method for class 3 SD Negeri 237 Kopo Elok. The type of research used is direct research where in this research the researcher goes directly to the field to get information and data. Even though the research method used by the researcher is a descriptive qualitative method, the research is carried out by looking at the situation in order to obtain information and data according to the situation that occurs. The method of combining data uses the triangulation method, namely observation, interviews and documentation. that the results of interviews and observations that have been conducted by researchers on a number of respondents regarding the analysis of students' reading readiness for Indonesian subjects with the spelling method for grade 3 SD Negeri 237 Kopo Elok and the inhibiting and supporting factors for readingreadiness, including the following: Nf : not yet knows consonants, can't read syllables, lacks confidence and likes to daydream during lessons, lazy Ni : has a passion for learning, is happy when the teacher orders her to read and can already distinguish sounds from letters. Whereas Aq : already knows consonants, already knows syllables, already knows how to hold a book when reading properly and is never latefor school. that students' reading readiness is good enough even though there are some students who still experience problems in reading readiness, namely laziness, lack of experience in reading, not yet recognizing consonants, simple sentences, lack of my love and attention from their parents as well as lack of student motivation in reading readiness.&#x0D; &#x0D; &#x0D; &#x0D;
Fine-Tuning BERT for Aspect Extraction in Multi-domain ABSA

Aspect extraction plays a crucial role in understanding the fine-grained nuances of text data, allowing businesses and researchers to gain deeper insights into customer opinions, sentiment distributions, and preferences. This study presents a BERT-based framework for aspect extraction in ABSA and evaluates its performance. Our research focuses on the comprehensive analysis of aspect extraction as we test our method using the SEMEVAL dataset of various consumer evaluations across diverse domains, including laptops, restaurants, and Twitter. By fine-tuning BERT on a large dataset, we aim to overcome the limitations of traditional approaches and improve the accuracy and efficiency of aspect extraction in ABSA. The experimental findings provide evidence of the efficacy of our methodology with a noteworthy aspect extraction accuracy of 0.99, highlighting its capacity to properly and consistently extract features. The article also explores the applicability of our approach to new domains and its possible applications in real-world scenarios.
Management Information System Design Village Finance (case study of kelambir v kebun village)

Fund allocation for each village is adjusted to a number of criteria. The problem that arises is that the mechanism and use of funds have not been properly recorded. This problem can be overcome by presenting good and transparent information, for this reason a village fund information system is needed for managing village funds using the waterfall method. This information system is very useful for monitoring village funds and absorption carried out by each village in real time, as well as providing information for the village head and policy makers in Klambir Lima Kebun Village to determine a policy. The system built is a system that discusses the Information System for managing village funds in Klambir Lima Kebun Village, a system design model in the form of a use case diagram, data storage structure and application display design using the PHP programming language and a database using MySQL, where the system has been built, the village officials of the five plantations will find it easier to process managing village funds and village fund allocation so that it is faster, more effective, effective, efficient and transparent. This system can handle the process of filling in data, changing data, deleting data, searching for data and reporting money data as well as providing information on village fund management in the village of Kelambir Lima Kebun.
UX Sustainability: an overview on the sustainability dimension of AI-infused Objects forming product-service ecosystems

This research aims to suggest a new design perspective to analyse the sustainability of an AI-infused object in its entirety. Before we present what AI-infused Objects are and how they form product-service ecosystems, secondly, we analyse the state of the arts of its sustainable dimension. The analysis of AI-infused objects should include: (1) the entire life cycle of the object, its social and economic impact; (2) the impact of the "digital soul" of the object; (3) the ecosystem analysis should also include all indirect impacts of the service, considering how users' behaviour changes when they come in contact with the artificial intelligence ecosystem. The research contributes to the design literature in two ways: (1) by raising awareness in designers on the effective impact of AI-infused Objects forming the product-service ecosystems, (2) by inviting designers to make this awareness concrete through User Experience Sustainability analysis and behavioural change strategies applied to persuasive technology.
Place-Based Service Design Through Placemaking and Performance

This paper reflects on the approaches of place-based service design, placemaking and performance. From these perspectives, we discuss whether new designs, such as placemaking through performance, can deliver new approaches to place-based service design and facilitate the feeling of togetherness. We consider whether affordances in the natural environment can be used for co-creating design as well as the impact they can have on individuals and communities. This paper proposes placemaking as a place-specific approach to service design that can enable the use of reflexivity, knowledge-sharing and pluriversal epistemology towards non-humans, including plants and encompassing environments. In addition, we discuss how placemaking approaches can help identify place-related values, such as nature and culture, as well as their impact on service design. Our empirical material consists of two artistic and place-based case studies that included performative placemaking experiments in Finnish Lapland. In the artistic processes examined in this paper, placemaking provides channels for storytelling and stakeholder engagement to create a personal understanding of a place.
Haptic Hongi - Reiterated

Haptic Hongi – Reiterated uses Augmented Reality (AR) to recreate meeting an indigenous person on their own terms, and thereby reimagine first encounters that took place during the pre-colonisation era in Aotearoa New Zealand. These encounters were often a-symmetrical affairs, freighted with troubled power dynamics and violence, so there is a need to rebalance, restore and reconnect in a playful way. In the experience, AR technology is used to place a virtual woman in front of the user, and then haptic actuators are used to enable the user to feel a hongi, the traditional Māori greeting involving pressing of noses. In this way, AR technologies enable people to communicate across time and space so that they may feel as though they have met.
Cubic Gymnastics

"Cubic Gymnastics" is an XR system that enables users to engage in a wide range of exercises specifically designed for geometric shapes, which are visualized within the HMD space. By wearing the HMD, users can mentally immerse themselves in a geometrical body viewed in the mirror referred as the "cubic body," comprised of multiple scalable cuboids and/or curved solid shapes. The physical restriction imposed on the user’s body by a long rod, typically limiting hand motion, creates a perception of being transformed into a flat form, thereby enhancing the illusion of owning the cubic body. These geometric exercises involve unique movements that are physically impossible for the human body, including the separation of the upper and lower body, adhesion, stretching, deformation, and rotation-on-the-ground. Results from a survey conducted during a laboratory exhibition confirmed that a significant number of participants strongly experienced the sensation of performing these unconventional object-like movements specific to the transformed geometric shapes.
Limit Situation

"Limit Situation" is a virtual reality artwork that explores the universal existential dilemma of human existence through immersive and narrative-driven virtual spaces. The artwork is divided into six chapters of virtual spatial experiences, inspired by six books that provide background and context. These virtual experiences create a realm for emotions and contemplation. From conceptual to tangible, from real to virtual, the artwork represents the artist's understanding of existential dilemmas.
MR BLS Trainer: A physical mixed reality CPR+AED rescue simulator

The MR BLS Rescue Trainer is a training system that allows users to experience realistic simulation with physical feeling in lifesaving procedures, that is BLS (basic life support), including CPR (cardiopulmonary resuscitation) and AED (Automated External Defibrillator) by applying physical mixed reality incorporated with partially tangible components
Generating the Group of Nonzero Elements of a Quadratic Extension of $\mathbb{F}_{p}$

It is well known that if $\mathbb{F}$ is a finite field then $\mathbb{F^{*}}$, the set of nonzero elements of $\mathbb{F}$, is a cyclic group. In this paper we will assume $\mathbb{F}=\mathbb{F}_{p}$ (the finite field with $p$ elements, $p$ a prime) and $\mathbb{\mathbb{F}}_{p^{2}}$ is a quadratic extension of $\mathbb{F}_{p}$. In this case, the groups $\mathbb{F}_{p}^{*}$ and $\mathbb{F}_{p^{2}}^{*}$ have orders $p-1$ and $p^{2}-1$ respectively. We will provide necessary and sufficient conditions for an element $u\in\mathbb{F}_{p^{2}}^{*}$ to be a generator. Specifically, we will prove $u$ is a generator of $\mathbb{F}_{p^{2}}^{*}$ if and only if $N(u)$ generates $\mathbb{F}_{p}^{*}$ and $\frac{u^{2}}{N(u)}$ generates $Ker\,N$, where $N:\mathbb{F}_{p^{2}}^{*}\rightarrow\mathbb{F}_{p}^{*}$ denotes the norm map.
ANALISIS PENERAPAN METODE SILABA UNTUK MENINGKATKAN KETERAMPILAN MEMBACA PERMULAAN SISWA SEKOLAH DASAR

This research was motivated by the low initial reading ability of Indonesian elementary school students. This is because teachers still use conventional learning methods where learning is only centered on the teacher while students are not involved much or are not active in learning. In this condition, the syllabic method (silaba) becomes an alternative solution method, because the syllabic method involves interaction between students and teachers, so that there is no longer any learning that only dominates the teacher or only dominates smart students. This research also aims to review how the syllable method (sylaba) affects the beginning reading abilities of lower grade elementary school students. The method used for the review is systematic or Systematic Literature Review (SLR) by analyzing research results that have been published nationally relating to the syllable method (sylaba) on the initial reading ability of lower grade elementary school students for Indonesian language lessons, sample analysis are 15 journals that have been published in the last 10 years. The journal discusses the syllable method, based on the findings of the analysis of the syllable method (sylaba) which has a positive influence. From each article or journal that has been analyzed, there are differences, but overall this research shows the conclusion that the syllable method for beginning Indonesian reading skills in lower grade elementary school students has a significant influence on elementary school students' reading abilities.
EXPOSITORY METHODS IN STUDYING ENGLISH LANGUAGE AS LEARNING STRATEGIES ABOUT GRAMMAR EXPLANATION IN STUDENTS SMAS MAMIYAI AL-ITTIHADIYAH MEDAN GRADE X AND XI

English language is often perceived as a difficult subject and is not liked by students, English language must be studied in school. Efforts should be made to increase the students interest to make it easier to learn English, so that the achievement of learning English can be improved. The appropriate methods include guided discovery methods and expository methods. Based on the results of the discussion and research of the data, it can be concluded that the highest score is 100Â owned by 5 students and score is 80 owned by 4 student, score is 60 owned by 1 . While the lowest score isÂ 20Â which is owned by 1 student and from the test result the students get the score 40,60,80, and 100 which is owned by 1 students. Then, it means reported question is a subject that still hard enough for student because its high percentage of error especially in changing pronouns, caused the rate of the students mastery in this subject is not too high. The students find it very difficult to pronoun because it requires understanding and mastering the grammar structure in replacing pronoun, tenses, verb and time.Keywords: discovery method, expository method.
The Influence of the eLDirU LMS, Digital Literacy, and CBL Methods on Learning Achievement

This research aims to analyze the influence of the eLDirU Learning Management System, Digital Literacy and Case Based Learning methods on learning achievement. This research uses a quantitative research approach and descriptive survey method with descriptive statistical data analysis techniques to analyze research data. Data collection techniques use observation methods, questionnaires, and documentation. This research was conducted at the Faculty of Economics and Business, Jenderal Soedirman University with the population are active students in the Faculty of Economics and Business that registered in the 2021-2022 academic year. Meanwhile, the sampling technique in this research used the cluster sampling and based on the calculation, there are 100 students as samples in this research. Data analysis techniques use instrument tests (validity test, reliability test, and path analysis, classical assumption test), model feasibility test, coefficient of determination test, simultaneous test, and hypothesis test (t test). The results of this research show that: (1) The Learning Management System partially has a significant effect on student learning achievement; (2) Digital Literacy partially has a significant effect on student learning achievement; and (3) Case Based Learning partially has a significant effect on student learning achievement. The conclusion of this research there is influence of learning management systems, digital literacy, case-based learning, on learning achievement simultaneously. This research is limited to external factors that influence learning achievement, namely leaning management system, digital literacy, and case-base learning method. Further research can analyze other factors that influence learning achievement, for example internal factors such as motivation, intelligence, and so on.
Computer game development algorithm

In the modern world, video games have become an integral part of culture and entertainment. In this regard, research in the field of video games has become very relevant for scientific researchers, psychologists, educators, as well as for many other areas. Video games are interactive programs designed for entertainment and gaming on computers, consoles, and mobile devices. They come in a variety of genres and formats, including puzzle games, action games, strategy games, sports games, and more. Video games can be either single or multiplayer, and may include elements of competition, collaboration, or exploration. All games include graphic and sound design, as well as a set of rules, tasks, and goals that the player must complete in order to be successful in the game. the purpose of this article is the development of a universal algorithm for the development of computer games.
Implementing the Open Science Infrastructure at IFIN-HH

In response to the growing needs of the research community, Horia Hulubei National Institute for R&D in Physics and Nuclear Engineering (IFIN-HH) is on the way to developing services dedicated to data management and dissemination. Aiming at achieving integration compatibility of the National Library of Physics (NLP) with the European existing services for research data management, the concept of FAIR digital objects is currently implemented. If NLP is to meet the requirements of EOSC Interoperability Framework (EOSC-IF), the development of a strong and flexible infrastructure is required. As, according to the guidelines, the prevalent resources of the future scientific research will be the “machine-readable artefacts that would support composable or executable workflows”[1], we implement an appropriate software framework for managing data sets and many other forms of research outputs. This paper frames our efforts within the European and national policy boundaries and brings forward a solution to create a specialized digital repository. Software solutions and different architectures have been analysed arriving to a desired technical and technological arrangement suitable for future interoperability in the overall context of Open Science.
Roman tablets as linguistic corpora: evidence for phonological variation in 2nd c. Latin

Abstract The Tabula Alimentaria Veleiana and the Tabula Ligures Baebiani are two 2nd century tablets which outline the regional implementation and execution of Trajan’s alimentary scheme. These tablets not only provide some of the longest Latin inscriptions from antiquity, but they also offer unique insight into regional linguistic patterns, as one tablet is from northern Italy and the other is from southern Italy. Given that each tablet demonstrates its own consistent patterns of orthographic peculiarities, it is possible that these communities had local epigraphic traditions. This, in turn, could suggest that consistent spelling anomalies reflect regional phonological patterns, such as intervocalic voicing and consonant degemination. This case study builds on recent literature studying sociolinguistic variation in Latin by using tablets from the same time period as regional corpora with which to study linguistic patterns.
Acoustic and neural classification of multi-verbs in natural Bangla speech

Multi-verb constructions occur frequently in most South-Asian languages. In this work, we focus our attention to multi-verb formations in Bengali language, which are essentially categorized into Complex Predicates (CP) and Serial Verbs (SV). For this a database of 200 recordings of CPs and SVs in Bengali has been prepared. While SVs indicate a sequence of two events, CPs indicate a single event, with the second verb denoted as light verb or its effect bleached. We aim to quantify and categorize, in terms of acoustical and neural parameters, the event construals manifested by the SVs and CPs in Bengali. For acoustic analysis, robust features like spectral centroid, skewness, kurtosis etc have been used to establish a classification paradigm using tSNE and KNN clustering algorithm to distinguish between the event construals of CPs and SVs. In the neural domain, EEG was performed on 5 participants who listened to SV and CP utterances at the word and sentential level. The spectral power and multifractality corresponding to the alpha and theta frequency domain of the EEG signals were evaluated. The results distinguish between the different cognitive loads in the frontal and temporal lobe of the human brain corresponding to the multi-verb processing in Bengali.