Reviewerly/exHarmony huggingface dataset:
UTSA NLP at SemEval-2022 Task 4: An Exploration of Simple Ensembles of Transformers, Convolutional, and Recurrent Neural Networks

The act of appearing kind or helpful via the use of but having a feeling of superiority condescending and patronizing language can have have serious mental health implications to those that experience it.Thus, detecting this condescending and patronizing language online can be useful for online moderation systems.Thus, in this manuscript, we describe the system developed by Team UTSA SemEval-2022 Task 4, Detecting Patronizing and Condescending Language.Our approach explores the use of several deep learning architectures including RoBERTa, convolutions neural networks, and Bidirectional Long Short-Term Memory Networks.Furthermore, we explore simple and effective methods to create ensembles of neural network models.Overall, we experimented with several ensemble models and found that the a simple combination of five RoBERTa models achieved an F-score of .6441 on the development dataset and .5745 on the final test dataset.Finally, we also performed a comprehensive error analysis to better understand the limitations of the model and provide ideas for further research.
A study on Korean listening class using jigsaw -Based on international undergraduates

The purpose of this study was to investigate the effect of the jigsaw task on the improvement of Korean listening ability and affective attitude in the Korean listening class for foreign students. First, it was confirmed that the listening ability improved as the jigsaw task progressed repeatedly. Second, as a result of a survey on learners affective attitudes and responses, learners showed a very positive response to the jigsaw task when comparing before and after the class. The perception of Korean listening itself changed positively after class, and the confidence in Korean listening, class participation, and preference for listening class such as jigsaw task increased significantly. In addition, more than half of the respondents said that the jigsaw task directly helped improve concentration and listening skills. The preference for the listening class through the jigsaw task as a cooperative learning and speaking integration was also high, suggesting that the jigsaw task is positive in the learner evaluation in the listening class. Thereafter, follow-up studies on the number of jigsaw tasks, input level, and selection of listening materials to apply the jigsaw task to the undergraduate listening class should be continued.
Mackenzie Weygandt Mathis

Building a sustainable open source toolbox to track social behavior and how to get in the zone.
Enhancing Serials Management in University Libraries in Nigeria

The study is on enhancing serials management in university libraries in Edo and Delta states Nigeria. Descriptive survey was used for the study. Data for the study was gathered through structured questionnaire. The population of the study was 65 librarians from the university libraries, namely, Delta State University Library Abraka, Delta State; Ambrose Alli University Library, Ekpoma Edo State and Federal University of Petroleum Resources Library, Effurun, Delta State. Total number of questionnaire distributed was 65, but 49 questionnaires were found usable, for the study. The items were structured on a 4-point Likert Scale (Strongly Agree, Agree, Disagree, Strongly Disagree). Data analysis was done using frequency count and simple percentage. The results of the study show that University libraries rendered current awareness, photocopy and electronic journal services, they also organise and provide serials for their users. Some of the problems militating against the management of serials among others, are lack of funds, power failure, inadequate facilities and frequent changes in serials titles. The study recommends that infrastructure stability and access to utilities be addressed in university research plans and budgets. Publishers and vendors should also maintain awareness of the digital divide and continue to invest in print publishing to meet global information needs.
STUDY OF THE ORGANIZATION'S AND CONTENT’S FEATURES OF EXTRACURRICULAR WORK IN 6-8 GRADES BIOLOGY

This article examines the importance of extracurricular work of pupils in grades 6–8 in the formation of a scientific worldview based on knowledge about wildlife and its inherent laws, biological systems, assimilation of knowledge about the structure, existence, diversity and ecological role of living organisms. The features of the organization of extracurricular work in general biology, botany, zoology, human anatomy and physiology are described. During the research in the course there were used methods of testing and observing plants and animals in nature, creating visual aids, reports, abstracts, organizing circles of young biologists, exhibitions of pupils' works, biological excursions, biological conferences, and making observation diaries. In order to determine the effectiveness of the work carried out, a survey of pupils of experimental and control groups was conducted. During the survey, it was revealed that extracurricular lessons influenced the content of the material and increased interest in the subject, the study of various biological literature, the desire to get more additional information about plants and animals. In the organization and content of extracurricular activities in biology, there has always been an independent activity of pupils of a research nature, corresponding to the age characteristics of them. These included independent experiments and observations, performing extracurricular activities, working with reference books, journals, scientific literature. As a result of the research, this technique can be used by biology teachers as an auxiliary tool in the organization of extracurricular activities.
Enhance Incomplete Utterance Restoration by Joint Learning Token Extraction and Text Generation

This paper introduces a model for incomplete utterance restoration (IUR) called JET (Joint learning token Extraction and Text generation).Different from prior studies that only work on extraction or abstraction datasets, we design a simple but effective model, working for both scenarios of IUR.Our design simulates the nature of IUR, where omitted tokens from the context contribute to restoration.From this, we construct a Picker that identifies the omitted tokens.To support the picker, we design two label creation methods (soft and hard labels), which can work in cases of no annotation data for the omitted tokens.The restoration is done by using a Generator with the help of the Picker on joint learning.Promising results on four benchmark datasets in extraction and abstraction scenarios show that our model is better than the pretrained T5 and non-generative language model methods in both rich and limited training data settings.
Noise Removal of Radar Image Using Image Inpainting

Marine environment analysis and ship motion prediction during ship navigation are important technologies for safe and economical operation of autonomous ships. As a marine environment analysis technology, there is a method of analyzing waves by measuring the sea states through images acquired based on radar(radio detection and ranging) signal. However, in the process of deriving marine environment information from radar images, noises generated by external factors are included, limiting the interpretation of the marine environment. Therefore, image processing for noise removal is required. In this study, image inpainting by partial convolutional neural network model is proposed as a method to remove noises and reconstruct radar images.
A Survey on Mysore University Library Resources and Services during Covid-19 Pandemic: Challenges and Opportunities

This paper explores the experience of a Mysore University Library in the context of service and facilities catered to the user community during the COVID-19 Pandemic situation.This paper also describes various measures taken by the library to render conventional and digital services as and when required by the users.
Utility of doctrine with multi-agent RL for military engagements

Artificial intelligence (AI), or more specifically deep learning approaches to AI, have led to astonishing results in recent times, which makes them a prime candidate for guiding agent actions in military domains. However, it is often difficult to train multiple agents with deep learning approaches when a task is sufficiently complex, or the state space is huge, as is often the case in military domains. One possible way to alleviate the difficulties associated with military tasks is to leverage military doctrine to assist in the guidance of multi-agent systems. Military doctrine is a guide to action rather than hard rules for the execution of military campaigns, operations, exercises, and engagements. Doctrine, written by experts in their respective domains, is used to make sure that each task associated with an engagement, for example, is executed according to military standards. Such standards ensure coordination between different tasks, resulting in a greater likelihood of Mission success. In addition, the efficacy of combining doctrine with deep learning must be tested to determine any realized benefit for AI driven military engagements under adversarial conditions. Further, the inherent complexities associated with military engagements demand coordination between heterogeneous resources and teams of Soldiers which are often geospatially separated. In this work, we establish a baseline of doctrine-based maneuvers for a military engagement scenario with a multi-agent system (MAS) embedded in the StarCraft Multi-Agent Challenge (SMAC) simulation environment, now a standard test environment for Multi-Agent Reinforcement Learning (MARL). We introduce a hybrid training approach that combines MARL with doctrine (MARDOC) to test whether doctrine-informed MARL policies produce more realistic behaviors and/or improved performance in a simple military engagement task. We compare this hybrid approach to both doctrine-only (i.e., supervised learning to mimic doctrine) and MARL-only approaches to evaluate the efficacy of the proposed MARDOC approach. Our experiments show that MARDOC approaches produce desired behavior and improved performance over supervised approaches or MARL alone. In summary, the experimental results suggest that MARDOC approaches provide a sufficient advantage over MARL alone due to agent doctrinal guidance of MARL exploration to overcome the complexities in military domains.
Foot Operated Washing Machine

Abstract: The foot operated washing machine is a huge innovation all by itself. Foot operated washing machine is especially designed for its use for washing laundry by means of foot application. Today, because of non-renewable energy cries out its basic need to use energy in another way or to save energy. This project involves the construction and use of the foot operated washing machine. The next pages in the paper include the constructions of foot operated washing machine, its raw material, its operation , benefits of the foot washing machine in terms of the actual electronic washing machine save time, water, electricity and not very expensive. His main expectation is exercises with the application of the foot to wash the cloths. Keywords: foot operated, pedal, chain, cloths, washing, rinsing
Factors influencing the actual usage of e-government among employees within public sector organizations in the UAE

Organizations are becoming flatter, more flexible and networked due to the advent of new technologies. Leaders in the United Arab Emirates (UAE) aim to be attain the first spot worldwide in terms of efficiency and effectiveness by focusing on long- term vision and strategy. However, the gap between the essential indicators of ICT towards UAE’s government vision might affect the long-term goals. This study addresses the relationship between smart government effectiveness and knowledge management, while considering the role of institutional challenges as a moderator variable within the public sector in UAE. As a guide for the proposed model in this study, three acceptance models were implemented, namely, the unified theory of acceptance and use of technology (UTAUT), technology acceptance model (TAM), and DeLone and McLean model of information systems success (D&amp;M IS Success Model) as guided for the proposed model. Additionally, quantitative data were collected in this study and analyzed using the Statistical Package for Social Science (SPSS) and Smarts software. Resultantly, the actual use of E-government was predicted and significantly associated with the change in “Influencing factors”, comprising system quality, information quality, service quality, and social influence.
Retraction Note: A Discourse Analysis of Quotidian Expressions of Nationalism during the COVID-19 Pandemic in Chinese Cyberspace

[This retracts the article DOI: 10.1007/s11366-020-09692-6.].
Innovative design method for planar mechanism configuration based on component similarity discrimination

Abstract. Obtaining new models of mechanical equipment to conduct mechanical innovative design through kinematic chain configuration synthesis is an effective method. However, in practice, due to the existence of similar components, existing innovative design methods easily produce redundant design schemes, which require extensive isomorphic discrimination operations, and the design process is complex. In view of existing problems, this study analyzes a method for discriminating between similar components of mechanisms from the perspective of graph theory and then applies it to the specialization of topological graphs to solve the problem of redundant design schemes. Finally, using the innovation of a drilling rig drilling arm mechanism as an example, 52 feasible schemes without redundancy are obtained. This paper provides a reference for the innovation of the configuration of planar mechanisms without design redundancy.
Pengembangan Intelektualitas melalui Literasi Membaca bagi Karang Taruna Desa Kota Daro II Kabupaten Ogan Ilir

Abstract Purpose: This community activity aims to increase literacy in reading interest in the younger generation of the Sriwijaya University fostered village, namely Kota Daro II Village, Rantau Panjang District, Ogan Ilir Regency. The selected target is youth members of the youth organization, which is about 20 to 30 people as the initiators of reading literacy in the community, especially children. This activity was carried out from August to October 2021 with several visits. Method: Carried out in stages including question and answer, introduction and empowerment. These stages are the pre-activity stage and the activity implementation stage. Result: This activity have an impact on increasing the enthusiasm and desire of service participants to get used to reading as well as being able to implement the importance of reading culture to the local community. It is hoped that it can foster interest in reading among children and youth of Kota Daro II.
El Hareketlerinden İşaret Dilini Algılayıp Yazıya Dönüştürme

The sign language recognition project to be designed is aimed to be realized in an optimized way using up-to-date technologies.The machine learning part of the project will be done over TensorFlow using Keras and Sklearn.TensorFlow was chosen considering the possibility of moving the project to a mobile environment in the future.The object recognition method to be used was chosen as MediaPipe Holistic.
Pelatihan Pembuatan E-Modul dengan Flipbook bagi Guru-guru di SD Muhammadiyah 1 Kota Palangkaraya

Training on Making E-Modules with Flipbooks for Teachers at SD Muhammadiyah 1 Palangkaraya City. The service activity carried out was training in making flipbook media for Teachers at SD Muhammadiyah 1 Palangkaraya. The partner of the service activities carried out is Teachers at SD Muhammadiyah 1 Palangkaraya. Based on the interviews with the Chief Principal and Secretary of Education and Culture, there has never been any training on learning media, especially flipbooks and as many as 85% of teachers have never used digital media in learning. Based on these problems, the service activities carried out offer comprehensive training starting from understanding media literacy, the importance of learning media, providing material on flipbook media, how to make flipbook media according to the steps described and how to use flipbook media in learning. Service activities are carried out in September-November 2021 with the online and offline methods. The output targets of service activities carried out are in the form of services and publications. The service output is in the form of material exposure through training on making flipbook media. The steps taken in this service activity are Exposure to material about media literacy, Exposure to material about learning media, Exposure to material about flipbook media, making flipbook media, Application of flipbook media. The publication output in the form of the result of making e-modules using flipbooks is simply online.
Supplemental Material for Personality Perception in Game of Thrones: Character Consensus and Assumed Similarity

a URL, doi, or other permanent path for accessing the specified information in a public, openaccess repository, and the specified information must be provided in a format that is time-stamped, immutable, and permanent.Qualifying public, open-access repositories are committed to preserving data, materials, and/or registered analysis plans and keeping them publicly accessible via the web in perpetuity.Examples include the Open Science Framework (OSF) and the various Dataverse networks.Hundreds of other qualifying data/materials repositories are listed at http://re3data.org/.Preregistration of an analysis plan must take place via a publicly accessible registry system (e.g., OSF, ClinicalTrials.govor other trial registries in the WHO Registry Network, institutional registration systems).Personal websites and most departmental websites do not qualify as repositories.
Neural Networks and Digital Arts: Some Reflections

The constant advancement in the area of machine learning has unified some areas that until then did not communicate, such as the area of computing with the arts in general.With the emergence of digital art, people have become increasingly interested in the development of expressive techniques and algorithms for creating works of art, whether in the form of music, image, aesthetic artifacts, or even combinations of these forms, usually being applied in an interactive technology installation.Due to their high diversity of creation and complexity during processing, neural networks have been used to create these digital works, which present results that are difficult to reproduce by human hand and are usually presented in museums, conferences, or even at auctions, being sold at high prices.The fact that these works are gaining more and more recognition in the art scene, ended up raising some questions about authenticity and art.In this way, this work aims to address the historical context regarding the advancement of the area of machine learning, addressing the evolution of neural networks in this field, about what art would be and who would be the artist responsible for digital work, given that despite After performing a good part of the creation process, the computer does not perform the entire process, becoming dependent on the programmer, who in turn is responsible for defining parameters, techniques and, above all, concepts that will attribute all the aesthetic value to the work.From this point of view and the growing interest in the generation of art via computers, the present work presents applied research around neural network techniques and how they can be applied in artistic practice, either generating visual elements or generating sound elements.Finally, some perspectives for the future are presented and how this area can evolve even further.
Perception of Junior High School Students in Using iPusnas App as Medium for Increase Literacy Social Studies Subject

The use of the iPusnas App as a medium of reading book has not been optimized by Indonesian students. The purpose of this research is to perceive about middle school students perseption on using iPusnas App in adding textbooks for social studies subject matter. This research will result in an update of: (1) Find out social studies secondary textbooks efficiently and (2) Adding textbooks sources to support social studies learning. The method used in this research is qualitative descriptive. This research method is carried out by distributing questionnaires, pos test and pre test, analyze, and describe the result. These results are expected to improve literacy by using iPusnas App as a medium of reading textbooks for social studies learning in addition to using texbooks provided by the school. The conclusion is students will find it easy to acces social studies textbooks anywhere and anytime with internet and iPusnas App and increase interest in literacy to students.
How to Develop Oral Communication Skill of Junior High School Students: The Experience of a Good EFL Teacher

As Covid-19 pandemic has caused the closure of schools for a long period of time, English teaching and learning process must be conducted online. To know how English teachers conducted online teaching, the present study investigated the experiences of a good EFL teacher in using different kinds of strategies to develop Junior High School students’ oral communication skill. Using a narrative research design, data were collected from semi-structured interview with a Junior High School English teacher using purposeful sampling to provide rich information to answer research question. The results of the thematic analysis showed a big theme that emerged, i.e., strategies to develop the students’ oral communication skill. This big theme is divided into four sub-themes: strategies to develop the students’ dialogue skill, strategies to develop the students’ monologue skill, strategies to develop the students’ fluency, strategies to develop the students’ accuracy. In addition, the results of this research are expected to give meaningful contribution, not only for the other English teachers but also for the other researchers.