Reviewerly/exHarmony huggingface dataset:
Enhancing Deep Learning-Based Sentiment Analysis Using Static and Contextual Language Models

Sentiment Analysis (SA) is an essential task of Natural Language Processing and is used in various fields such as marketing, brand reputation control, and social media monitoring. The various scores generated by users in product reviews are essential feedback sources for businesses to discover their products' positive or negative aspects. However, it takes work for businesses facing a large user population to accurately assess the consistency of the scores. Recently, automated methodologies based on Deep Learning (DL), which utilize static and especially pre-trained contextual language models, have shown successful performances in SA tasks. To address the issues mentioned above, this paper proposes Multi-layer Convolutional Neural Network-based SA approaches using Static Language Models (SLMs) such as Word2Vec and GloVe and Contextual Language Models (CLMs) such as ELMo and BERT that can evaluate product reviews with ratings. Focusing on improving model inputs by using sentence representations that can store richer features, this study applied SLMs and CLMs to the inputs of DL models and evaluated their impact on SA performance. To test the performance of the proposed approaches, experimental studies were conducted on the Amazon dataset, which is publicly available and considered a benchmark dataset by most researchers. According to the results of the experimental studies, the highest classification performance was obtained by applying the BERT CLM with 82% test and 84% training accuracy scores. The proposed approaches can be applied to various domains' SA tasks and provide insightful decision-making information.
A Multilingual Dashboard to Analyse Intercultural Knowledge Circulation

This paper presents the multilingual Rosetta Dashboard, an NLP-based, data-driven visualization tool for points of divergence between translated texts and their original source. While the NLP algorithms that power this dashboard are modest, this project nonetheless stands as an example of an NLP application that has been shaped by the needs of an adjacent scholarly community.
Verifica-UD: a Verifier for Universal Dependencies Annotation for Portuguese

This paper presents Verifica-UD, a web-based tool to detect problems in Portuguese sentences annotated using Universal Dependencies (UD) standards in the form of a CoNLL-U file. The tool performs three levels of sentence verification: structural (to assess CoNLL-U compliance), morphosyntactic (to assess the part of speech tagging), and syntactic (to assess the parsing information). Verifica-UD also provides detailed help on Portuguese UD annotation directives. The benefits of this tool for reviewing annotated corpora are illustrated with an experiment.
Poster Session: Development and validation of a virtual reality based toolkit to assess functional vision in Ultra Low Vision

Ultra-Low Vision (ULV) refers to a level of vision that is ≦ 20/1600. There are a growing number of vision restoration treatments that recruit people with ULV or restore vision to the ULV level. At present, limited standardized outcome measures are available to assess visual potential before and after such vision restoration treatments. The ULV toolkit was developed as a standardized outcome measure for people with ULV. Three virtual reality (VR) based modules were developed to assess visual information gathering, hand-eye coordination and wayfinding in people with ULV. Each module consisted of a range of visually guided tasks related to activities of daily life (e.g., direction of motion of cars, flipping a light switch, boarding a train). Each correct/incorrect response was scored as ‘1’/ ‘0’. These raw scores were then analyzed to estimate item difficulty (item measure) and person ability (person measure). Item measures showed a wide range of difficulty levels that can be used to evaluate visual performance in people with ULV. Person measures were correlated with estimated logMAR visual acuity as well as completion rates, number of collisions and reaction times. This study bridges a big gap in the field of ULV where little is known about visual potential and usefulness in activities of daily life. VR provides portability and consistency for testing across participants with ULV thereby allowing for standardization of measurements across vision restoration studies.
Lymph node metastases detection in Whole Slide Images using prototypical patterns and transformer-guided multiple instance learning

Abstract Background: The examination of lymph nodes (LNs) regarding metastases is vital for the staging of cancer patients, which is necessary for diagnosis and adequate treatment selection. Advancements in digital pathology, utilizing Whole-Slide Images (WSIs) and convolutional neural networks (CNNs), pose new opportunities to automate this procedure, thus reducing pathologists’ workload while simultaneously increasing the accuracy in metastases detection. Objective: To address the task of LN-metastases detection, the use of weakly supervised transformers are applied for the analysis of WSIs. Methods &amp; Materials: As WSIs are too large to be processed as a whole, they are divided into non-overlapping patches, which are converted to feature vectors using a CNN network, pre-trained on HE-stained colon cancer resections. A subset of these patches serves as input for a transformer to predict if a LN contains a metastasis. Hence, selecting a representative subset is an important part of the pipeline. Hereby, a prototype based clustering is employed and different sampling strategies are tested. Finally, the chosen feature vectors are fed into a transformer-based multiple instance learning (MIL) architecture, classifying the LNs into healthy/negative (that is, containing no metastases), or metastatic/positive (that is, containing metastases). The proposed model is trained only on the Camelyon16 training data (LNs from breast cancer patients), and evaluated on the Camelyon16 test set. Results: The trained model achieves accuracies of up to 92.3% on the test data (from breast LNs). While the model struggles with smaller metastases, high specificities of up to 96.9% can be accomplished. Additionally, the model is evaluated on LNs from a different primary tumor (colon), where accuracies between 62.3% and 95.9% could be obtained. Conclusion: The investigated transformer-model performs very good on LN data from the public LN breast data, but the domain transfer to LNs from the colon needs more research.
The Digital Divide and Gender Disparity: A Study of Rural Students in the Republic of Moldova

The current paper investigates gender disparities in digital competence among N=1526 rural middle school students from the Republic of Moldova by employing the Youth Digital Skills Indicator (yDSI). While prior research has highlighted gender&amp;#39;s role in digital exclusion, recent studies in both developed and developing countries suggest narrowing gender gaps. Similarly, the current study findings reveal no statistically significant gender differences in Information Navigation and Processing, Communication and Interaction, and Problem-Solving. However, significant disparities emerge in Digital Content Creation [t(1425) = 4.20, p = .000] and Safety [t(1421) = 2.49, p = .000], favoring girls. Boys&amp;#39; lower scores in digital safety warrant further investigation due to potential implications for their exposure to digital threats. These findings underscore the evolving landscape of gender-related digital skills in Moldovan rural middle schools. Keywords: digital divide; gender; online education; digital inequalities; social stratification
Developing Mall-Based Reading Comprehension Test for Seventh Grade by Using Quizizz

This study aims at developing reading comprehension test based on Mobile Assisted Language Learning (MALL) for seventh grade of Junior High School students. It is adapted R and D development model proposed by Borg and Gall consisting of seven steps: research and information collection, developing a preliminary product, expert validation, product revision, field-testing/try-out, revision, and final product. On the basis of preliminary research and information collections result, the preliminary product was produced by considering MALL concept with Quizizz application. From the expert validation, it shows that the developed reading comprehension test in Quizizz was on good criteria and appropriate for seventh grade students, she suggested to provide clear picture related to the question, discard or replace unfamiliar song questions because it will make students confused in understanding the context. Next, the instructions were needed to be revised to be clearer and simple. The researcher tried out the test for 20 students in the seventh grade. The result of the try-out shows that there are 20 multiple choices test, but 18 test are valid because the significant value is more than 0.05 with rtable 0.422. The test has a level of difficulty from medium to easy as evidenced by the mean items difficulty of 0.25 to 0.85. It is also reliable with the significance value 0.934. With MALL-based reading comprehension test using Quizizz, students are more interested and enthusiastic in reading English questions. For them, the test is unique like playing an online game.
Research on Underwater Straightness Measurement Method Using Ropes

In this paper, we study the behavior of a rope impacted by currents in underwater crossflow and propose a method for measuring the straightness of long distance underwater objects using the rope as a reference line. The theoretical model includes the behavior of ropes under different loads and the composition of loads, which can simulate the displacement state of ropes in actual sea areas and be used for straightness measurement. This method provides an idea for conducting long-distance straightness measurement underwater to meet practical needs.
Development of students’ musical culture in their perception of Russian music of the 2nd half of the XXth century

Background. New challenges of the time require the actualization of cultural codes that ensure the stability of Russian world. Special attention is to be paid to education of the younger generations as bearers of traditional Russian values. The appeal to national musical culture meets the priorities of the state policy, reflected in the Decree of the President of the Russian Federation dated November 9, 2022 No. 809. Objective. The aim is to analyze the potential of Russian music of the 2nd half of the 20th century in introducing students to traditional Russian values and the peculiarities of its perception by modern schoolchildren. Results. The analysis of educational programmes and of the repertoire of music education in different types of educational organizations showed the need to introduce students to the national musical culture through perception of Russian music of the 2nd half of the 20th century. The educational potential of modern local musical works is revealed in the interiorization of traditional Russian values by students. Approaches to the design of programmes as well as to the selection of the repertoire for music education are developed. Conclusions. New challenges of the time create the need to update music education programmes in order to deepen students' acquaintance with the national musical culture. The perception of musical works should take place in both the historical and cultural and the modern context. Musical culture is a holistic phenomenon, a diverse hierarchical system of relations, including philosophical, aesthetic, and ethical foundations of the value attitude to musical art in various types of musical and creative activities. To make continuous musical education effective, it is necessary to appeal to modern musical culture. Immersion of students in the musical continuum of modern culture creates conditions in which not only the musical and creative development of students takes place more organically, but also the formation of the qualities of a true “man of culture”, spirituality, morality, and patriotism are developed. The basis of musical perception is the ability to hear and experience musical content as an artistic and figurative reflection of reality, which determines its powerful influence on personality. Music is designed to develop a sense of inner involvement in the spiritual culture of the native country.
Domain Transfer in Histopathology using Multi-ProtoNets with Interactive Prototype Adaptation

Abstract Few-shot learning addresses the problem of classification when little data or few labels are available. This is especially relevant in histopathology, where labeling must be carried out by highly trained medical experts. Prototypical Networks promise transferability to new domains by using a pre-trained encoder and classifying by way of a prototypical representation of each class learned with few samples. We examine the applicability of this approach by attempting domain transfer from colon tissue (for training the encoder) to urothelial tissue. Furthermore, we address the problems arising from representing a class via a small amount of representatives (prototypes) by testing two different prototype calculation strategies. We compare the original “Prototype per Class” (PPC) approach to our “Prototype per Annotation” (PPA) method, which calculates one prototype for each example annotation made by the pathologist. We test the domain transfer capability of our approach on a dataset of 55 whole slide images (WSIs) containing six subtypes of urothelial carcinoma in two granularities: “Superclasses”, which combines the tumorous subtypes into a single “tumor” class on top of a aggregated “healthy” and additional “necrosis” class, and “subtypes”, which considers all eleven classes separately. We evaluate the classic PPC approach as well as our PPA approach on this data set. Our results show that the adaptation of the Prototypical Network from colon tissue to urothelial tissue was successful, yielding an F1 score of 0.91 for the “superclasses”. Furthermore, the PPA approach performs very comparably to the PPC strategy. This makes it a viable alternative that places more value on the intent of the pathologist during annotation.
‘Big C·Little C’ integrated teaching and learning plan through K-drama: 2022 Sejong Culture Academy In-depth Course Focusing on “Mr. Sunshine” and Ikseon-dong Contents

In this article, a study was conducted on the topic of promoting learners’ empathy through historical facts and Korean daily life in the drama Mr. Sunshine. In this study, a teaching and learning method was proposed to connect the love story of a man and a woman set in the flowering period of Korea to Iksun-dong, a place that Koreans encounter in their daily lives.&#x0D; The theoretical foundation for how to connect daily life and history was found in the discussion of ‘Big C and Little c’, which has been going on for more than 70 years. The legitimacy of these two areas to be discussed together in Korean cultural education was examined and the specific areas were presented.&#x0D; With the goal of personal growth of learners through Korean cultural education, the areas of cultural education was divided into cognitive, definitional, and behavioral areas according to Stern’s classification. The cognitive domain was divided into Big C and Little c, and history was placed in Big C and everyday culture in Little c. To make Korean culture education meaningful to learners, empathy and experiential activities were placed in the definitional domain, considering learners’ personal connections.
PELATIHAN MEMBACA AL-QUR’AN SESUAI DENGAN MAKHORIJUL HURUF DAN TAJWID PADA MAJLIS TAKLIM DI DESA JAYASAKTI MUARA GEMBONG

The holy book of Muslims is the Koran, in fact the holy book of the Koran is the book that was revealed to the last prophet of Allah, namely Rasulullah Muhammad SAW through the angel Gabriel. The implementation of community service related to training in reading the Qur'an in accordance with the makhorijul letters and tajwid at the majlis taklim aims to improve reading skills by paying attention to the makhorijul letters and tajwid. The main target is for the women of Majlis Taklim, namely regarding the knowledge of recitation and makharijul as well as strategies that can be used in developing children's abilities and understanding in these two fields when reading the Qur'an. In carrying out this service, training methods are used so that it is easier to understand and also easy to apply to find out how fluent the majlis taklim mothers are to understand the science of recitation and the letters of makharijul letters. The results of the service show that during the training the community is able to recognize recitation and develop the ability to read the Qur'an properly and correctly through the pronunciation of the makhorijul letters of each lafadz they read.
PROSES PEMBUATAN DAN EDUKASI ALAT PENDETEKSI KETINGGIAN AIR DI DESA LENGGAHSARI KECAMATAN CABANGBUNGIN

Flooding is one of the natural disasters that often occurs around the neighborhood, one of which is in Lenggahsari Village which is located in the lowlands and the location of the area is between the banks of the river, namely the Citarum river and the Ciherang river. lowlands or areas close to river flow. This natural disaster cannot be predicted when flooding will occur, in this situation there are many losses caused by flooding, including losses in plantations, loss of property and even loss of life. From the disasters faced by the people of Lenggahsari village who live near the swift river flow that lasts a long time, residents or local officials must go back and forth to see the condition of the river water level, because they are worried that if the water rises quickly it can cause losses. Meanwhile, the community and officers cannot be informed when the river water rises at any time. The purpose of this research is to be able to provide a warning of the status of the water level with the sound generated by the water level detector that we will make. Making it easier for residents or officers to monitor or know the condition of the water is potentially flooding or not so that residents can take early anticipation in order to avoid casualties due to flood disasters. This flood early detection system or tool has succeeded in providing information about flooding in real time.
The Influence of Learning Motivation on Students' Achievement in Learning Indonesia

This research is motivated by the phenomenon that all parents want their children's education to be good, so they pay attention and optimize for their children's education. The existence of this need, humans are encouraged to fulfill it. This encouragement is called motivation. In this case, of course the role of motivation is very important. The objectives of this study are (1) to determine whether there is an effect of learning motivation on student learning achievement at SMPN 1 Bengkulu city. (2) To determine how much significance the effect of student learning motivation on student learning achievement in SMPN 1 Bengkulu city.This study uses a quantitative approach with regression type.The population is SMMPN 1 Bengkulu city which totals 854 students. The sample was 90 students, the method of data research with questionnaires and documentation. All instruments have met the measurement requirements, because they have been tested so that they have met the validity test requirements using product correlation and reliability using Cronbach alpha, and have passed the prerequisite test. Data analysis using the T test and the percentage of influence using the coefficient of determination adjuster Rsquare. The results showed that (1) there is a significant effect of learning motivation on learning achievement as evidenced by the value of Rhitung&gt; Rtabel, namely 0.611&gt; 0.361 and Sig &lt;0.05, namely 0.000 &lt;0.05. (2) The effect of the coefficient of determination Adjusted R square 0.020 on the summary model in the regression test, so that the effect of learning motivation (X), on learning achievement (Y) is 2%.
A non-contractual approach to smart contracts

Abstract This article adds to the debate on what, legally speaking, smart contracts are and what they should be. Currently, much of this debate focuses on the relationship between smart contracts and legal contracts, overlooking that other legal categories may also be appropriate. This article suggests that the concept of abandonment can be fruitfully applied to smart contracts. Using the concept of abandonment has the advantage of allowing smart contracts, as close as legally possible, to be utilized as machines (or using the terminology suggested by Vitalik Buterin, founder of Etherium, as a ‘persistent script’). It would also make other issues, like the interpretation of smart contracts, easier to deal with. The argument is not that smart contracts can never be legal contracts; rather, it is suggested that, prima facie, users should have the choice of utilizing smart contracts as legal contracts or as machines.
Typical bipartite steerability and generalized local quantum measurements

Abstract Recently proposed correlation-matrix based sufficient conditions for bipartite steerability from Alice to Bob &amp;#xD;are applied to local informationally complete positive operator valued measures (POVMs) &amp;#xD;of the $(N,M)$-type. These POVMs allow for a unified description of a large class of local generalized measurements of current interest. It is shown that this sufficient condition exhibits a peculiar scaling property. It implies that all types of informationally complete $(N,M)$-POVMs are equally powerful in detecting bipartite steerability from Alice to Bob and, in addition, they are as powerful as local orthonormal hermitian operator bases (LOOs). In order to explore the typicality of steering numerical calculations of lower bounds on Euclidean volume ratios between steerable bipartite quantum states from Alice to Bob and all quantum states are determined with the help of a hit-and-run Monte-Carlo algorithm. These results demonstrate that with the single exception of two qubits this correlation-matrix based sufficient condition significantly underestimates these volume ratios. &amp;#xD;These results are also compared with &amp;#xD;a recently proposed method &amp;#xD;which reduces the determination of bipartite steerability from Alice's qubit to Bob's arbitrary dimensional quantum system to the determination of bipartite entanglement. It is demonstrated that in general this method is significantly more effective in detecting typical steerability provided entanglement detection methods are used which transcend local measurements.