Reviewerly/exHarmony huggingface dataset:
Enhancing Space

Sky Gazing Tower is an installation that aims to provide personal space for people who live in crowded urban environments and face everyday challenges such as social anxiety, stress, and agoraphobia. In parallel with the physical structure, a VR environment with a User Interface was developed that allows users to design their own structure. In this project, VR is used as a democratized tool for empowerment that encourages users to explore their needs for personal space and enables them to design a structure they feel comfortable in for themselves.
Recognition of Face Emotion using Convolutional Neural Network

Recognition of face emotion has been a challenging task for many years. This work uses machine learning algorithms for both, a real-time image or a stored database image in the area of facial emotion recognition system. So it is very clear that, deep learning technology becomes important for Human-computer interaction (HCI) applications. The proposed system has two parts, real-time based facial emotion recognition system and also the image based facial emotion recognition system. A Convolutional Neural Network (CNN) model is used to train and test different facial emotion images in this research work. This work was executed successfully using Python 3.7.6 platform. The input Face image of a person was taken using the webcam video stream or from the standard database available for research. The five different facial emotions considered in this work are happy, surprise, angry, sad and neutral. The best recognition accuracy with the proposed system for the webcam video stream is found to be 91.2%, whereas for the input database images is found to be 90.08%.
Mobile Robot Navigation Based on Deep Reinforcement Learning with Range Only Sensor

Recently service robots are increasingly been deployed for different applications such as for homes, hospitals, and other service industries. For efficient navigation of mobile robots in complex indoor and outdoor environments, it is essential for the robot to perform collision-free and optimized planning in dynamic scenarios. Recently, reinforcement learning methods, a type of machine learning technology are used for the navigation tasks in mobile robots and is actively been researched. It has several advantages that the robot can learn and adapt to new and unknown environments quickly by training over several iterations of different scenarios. In this paper, we propose a navigation policy for a mobile robot equipped with a 2D-LiDAR sensor based on the Proximal Policy Optimization (PPO) of a stochastic approach. Our method also includes a stochastic operation which reduces the computational cost of a training session. We also trained our robot in multiple virtual environments to speed up the learning model ’s training. For this research, the navigation test was executed only in a virtual simulator.
Neurobiological Theories of Consciousness

This chapter focuses on the neurobiological approach to consciousness. In the 1990s, cognitive neuroscientists began to search for what are known as the neural correlates of consciousness. Once the sweep reaches a certain area after about 100 ms, however, lateral and feedback connections are initiated that share the information already processed in a feedforward manner with additional areas in the frontoparietal and motor regions. Global workspace theory was originally proposed by Baars in 1988. The central claim of this theory is that information carried by representations in the brain becomes conscious when it is “broadcast” to specialized processors and thereby made accessible. The basic idea is that, by way of broadcasting to these processors, conscious information ends up being information that is well integrated within one's cognitive economy. The main contenders include recurrent processing theory, global neuronal workspace theory, information integration theory, and higher-order theory.
Model-Based Synthetic Sampling for Imbalanced Data

Imbalanced data is depicted by the ridiculous detachment in observation go over among classes and has gotten a lot of thought in data mining research. The hankering shows ordinarily separated as classifiers gain from imbalanced data, regarding the most part classifiers expect the class designation is balanced or the costs for different sorts of arrangement slip-ups are equal. Regardless, a couple of system have been considered to oversee cumbersomeness issues; it is so far hard to whole up those strategies to achieve stable improvement all around. In this observe, we propose a novel framework called model-based organized separating (MBS) to fit in with disparity issues, in which we empower showing up and looking into structures to make created data. The key idea behind the proposed strategy is to use fall away from the confidence models to get the relationship among features and to consider data better than anything ordinary assortment during the time spent data age. We direct evaluations on thirteen datasets and difference the proposed technique and ten strategies. The exploratory results show that the proposed way of thinking isn't in a manner relative yet moreover steady. We also give sifted through appraisals and portrayals of the proposed system to accurately show why it could make unprecedented data tests.
Penerapan Konsep Finite State Automata (FSA) pada Vending Machine Voucher Internet Corner

The Internet today has been widely used by all circles, even young children are familiar with it.However, there are some places that are still not covered by an adequate Internet signal.Therefore, this research makes an effort to create a Vending Machine that can provide a variety of Internet packages that can be used in certainly strategic places.In addition, the machine charges a very affordable price and it is very helpful for Internet users to get proper Internet access in places with very inadequate signal for Internet use.The research applies a Finite State Automata method.After this product is tested using the Finite State Automata method and given to several sources, it receives many quite positive responses, with the expectation it can help the community in enjoying Internet access.
Data Mining: Exploring the Corporate Asset

Data mining, as a methodology, is a set of techniques used to uncover previously obscure or unknown patterns and relationships in very large databases. Data mining differs from other methods in several ways. A significant distinction between data mining and other analytical tools is in the approach they use in exploring the data. Data mining, in contrast to these analytical tools, uses what are called discovery-based approaches in which pattern matching and other algorithms are employed to determine the key relationships in the data. Data-mining algorithms can look at numerous multidimensional data relationships concurrently, highlighting those that are dominant or exceptional. The intricacies of data interrelationships as well as the sheer size and complexity of modern data stores necessitates more advance analysis capabilities than those provided by verification-based data-mining approaches. The clean and transformed data subsequently is mined using one or more techniques to extract the desired type of information.
Game Theory

In the traditional representation, a game consists of a number of agents who are attempting to maximize the utility they receive for performing a set of actions. The utility gained by each player is a result of the actions that all the players take. In cybersecurity, the same convention can be considered, placing those attempting to perform a malicious attack against those trying to prevent such attacks. The structure of games provides a range of possibilities for building an understanding of how security scenarios can be represented and the relevance of these different approaches. This chapter covers the formulation and optimal solution of these problems in context. Game theory has been used to investigate a wide range of problems in cybersecurity from allocation of defenses and resources to understanding the vulnerabilities of machine learning systems. This chapter covers the types of games used for investigating cybersecurity problems, the use cases, and issues surrounding implementation.
News: PhotonicsViews 1/2022

PhotonicsViewsVolume 19, Issue 1 p. 4-9 NewsFree Access News: PhotonicsViews 1/2022 First published: 12 January 2022 https://doi.org/10.1002/phvs.202270102AboutPDF ToolsExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Volume19, Issue1February/March 2022Pages 4-9 RelatedInformation
SYNTACTIC EXPLICATION IN SYNCHRONIC TRANSLATION IN MODERN THEORY OF TRANSLATION

The quality and depth of content Web of Science offers to researchers, authors, publishers, and institutions sets it apart from other research databases.The inclusion of Bulletin of NAS RK in the Emerging Sources Citation Index demonstrates our dedication to providing the most relevant and influential multidiscipline content to our community. Қазақстан Республикасы Ұлттық ғылым академиясы «ҚР ҰҒА Хабаршысы» ғылыми журналының Web of Science-тің жаңаланған нұсқасы Emerging Sources Citation Index-те индекстелуге қабылданғанын хабарлайды
Crypto Cloud Computing with Symmetric and Asymmetric Cryptography for Information Security and Storage

The resources and the services that the cloud provides are attractive for the users and are distinct from one cloud provider to another. The concerning aspect is how much securely our data stored in cloud is and how the data is protected against attacks. Various encryption algorithms or techniques of cryptography are used to protect data against attacks and also provides authenticity and confidentiality of data I an online and offline environment. Therefore in this paper various cryptographic aspects are covered, predominantly compares different algorithms with suggested solutions and results including cloud data protection. Authentication of data, confidentiality of data and data integrity aspects are the primary factors that have to be addressed in today’s social networking and in the distributed environments. Cryptography and crypto cloud computing plays major role in secure transfer and storage of information.
The student human rights ordinances and the extent of the principal’s authority to enact or amend the school regulations

Elementary and Secondary Education Act(hereinafter ESEA) Article 8 (1) prescribes that the head of a school may enact or amend school regulations within the extent of statutes or regulations(so called ‘pubryung’). On the other hand, according to the constitutional law, local governments may enact provisions relating to local autonomy(i.e. ordinances), within the limit of Acts and subordinate statutes(this, too called ‘pubryung’)(Constitution of the Republic of Korea Article 117(1)). So, it is problematic that which of the two ‘pubryung’s takes precedence over the other in its effect. In other words, it is a question of whether school regulations may be in conflict with ordinances in their substance. In this regard, it is a question of whether what the ‘pubryung’(“statutes or regulations” or “acts and subordinate statutes”) means; whether the ‘pubryung’ encompasses the ordinances; whether if the ordinances are included in the ‘pubryung’, it may be possible to conclude that school regulations should not violate the student human rights ordinances. Article 18-4 of the ESEA stipulates that founders, managers, and heads of schools shall guarantee the human rights of students provided in the Constitution of the Republic of Korea and International Covenants on Human Rights. Because the student human rights ordinances are enacted in deference to the spirit of the stipulation of the ESEA, we can conclude that the school regulations could not contravene the student human rights ordinances.
Pelatihan penggunaan media pembelajaran interaktif Sistem Informasi Geografis mata pelajaran Pemrograman Web

Interactive learning media is one of the tools in the learning process. With interactive learning media, it will help students understand the learning material better, especially subjects that require practice to better understand the theory being taught. Web programming subjects in vocational schools are one of the subjects that have a lot of practicums. Therefore, to support the delivery of the subject matter, good interactive learning media are needed and are following the needs of students. This PKM aims to provide training on the use of web-based interactive learning media for Geographic Information Systems (GIS) that have been developed so that students understand more about designing web-based applications. This activity was carried out at SMKN 1 Selong, with 25 participants from the Software Engineering department. The activity lasted for 4 months. The method used is lectures and direct practice on WEB-based software engineering with lecturers from the Informatics Engineering study program, Hamzanwadi University. The material presented is in the form of steps to make simple software by utilizing existing technology and seeing some examples that have been prepared previously by the resource person to be used by students. For this method use a computer with a local network. The results of the activity show that students can master basic techniques for WEB-based software and students are also able to make simple WEB-based applications by applying the concept of good system analysis.
Development of Educational Underwater Vehicle “CHVIS”

Kobe city has been developed as port city and this effort is still regarded as important, so that marine and maritime education is also regarded as important. Therefore, training engineers is a major task for educational institution in the city. Authors proposed utilization of underwater robot in technical college of technology in 2 ways; practical class in lower grade and Project Based Leaning class in higher grade. In this article, educational underwater robot named CHVIS is developed in PBL class, with presenting theme for student and students' own voluntary efforts. This activity may have some learning effect at PBL. Learning effect is continuously verified at classwork.
The Strategy Of School Literacy Culture In Elementary School

The purpose of the study is to know how the implementation strategies in SDN Bubutan IV Surabaya. The descriptive qualitative method is used in this analysis. The collecting data technique is using data reduction, data display, and conclusion drawing. The data validity test is using source triangulation. The result of the study showed that the school literacy movement strategies are already successful with (1) conditioned physical environment with mini-libraries in each classroom and student artworks around school areas, (2) conditioned the social environment as an effective model by giving rewards toward students, there is also an activity to celebrate a national holiday that integrated with literacy learning, and (3) conditioned the academic environment with an accustomed student to read 15 minutes, the existence of school literacy team and having a library with proper facilities.
P-089. SAFE@HOME: Cost analysis of a new care pathway including a digital health platform for women at increased risk of preeclampsia

As an important data source in the field of bridge management, bridge inspection reports contain large-scale fine-grained data, including information on bridge members and structural defects. However, due to insufficient research on automatic information extraction in this field, valuable bridge inspection information has not been fully utilized. Particularly, for Chinese bridge inspection entities, which involve domain-specific vocabularies and have obvious nesting characteristics, most of the existing named entity recognition (NER) solutions are not suitable. To address this problem, this paper proposes a novel lexicon augmented machine reading comprehension-based NER neural model for identifying flat and nested entities from Chinese bridge inspection text. The proposed model uses the bridge inspection text and predefined question queries as input to enhance the ability of contextual feature representation and to integrate prior knowledge. Based on the character-level features encoded by the pre-trained BERT model, bigram embeddings and weighted lexicon features are further combined into a context representation. Then, the bidirectional long short-term memory neural network is used to extract sequence features before predicting the spans of named entities. The proposed model is verified by the Chinese bridge inspection named entity corpus. The experimental results show that the proposed model outperforms other mainstream NER models on the bridge inspection corpus. The proposed model not only provides a basis for automatic bridge inspection information extraction but also supports the downstream tasks such as knowledge graph construction and question answering systems.
Exhibit 11: ADEA Position Papers

Journal of Dental EducationVolume 83, Issue 7 p. 839-854 Exhibit Exhibit 11: ADEA Position Papers First published: 01 July 2019 https://doi.org/10.1002/j.0022-0337.2019.83.7.tb06393.xAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Volume83, Issue7July 2019Pages 839-854 RelatedInformation
MEDIA

Africa Research Bulletin: Political, Social and Cultural SeriesVolume 57, Issue 5 p. 22748B-22749C Social and Cultural MEDIA First published: 22 June 2020 https://doi.org/10.1111/j.1467-825X.2020.09499.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume57, Issue5June 2020Pages 22748B-22749C RelatedInformation
Cohesion and Coherence in Final Project Abstracts Written by Non-English Department Undergraduate Students

Creating text needs to be understood that it is not only about arranging the words into sentences and paragraphs but also delivering meaning. Unfortunately, not everyone can achieve good skills in writing. This study aims at analyzing the writing skills of a group of Indonesian non-English department undergraduate students. It focused on the cohesion and coherence of their production of the final project abstract. Ten texts were analyzed by employing a discourse analytical case study. Thus, it is an important matter to analyze the writing competency of students as they are at the undergraduate level, majoring in Informatics Engineering that should report their final project in English. In this study, a theory from Halliday and Matthiessen (2014) was used to analyze the cohesion while a theory from Eggins (2004), Thornburry (2005), and Paltridge and Starfield (2007) were used to analyze the coherence. An open-ended questionnaire was used to confirm the result of the analysis according to the writers’ point of view. The findings indicate that the students show a bit of weakness in achieving cohesion and coherence in creating texts due to a lack of knowledge about the theory of cohesion and coherence. The result of the study can be used as a reference and consideration in designing a suitable lesson plan for writing class.
Do we need to insist on REAL numbers?

Do we need to insist on real numbers?We present our discussion of this question
MagmaLearning.com

Thank you for attending APE 2021! The content for APE will become available over the next few days after post-conference processing for audio and visual quality has been completed. Please check back next week. The First Publishing Event in the New Year! Full Unlimited Online Coverage! Was that the real beginning of the new 21st Century? Global challenges changing lives on a scale never seen before – a global pandemic, ferocious evidence of climate change and biodiversity loss, and cyber warfare influencing global leadership against a backdrop where evidence and experts are increasingly discounted in place of tribes with their own truths. Research is increasingly having to step up to meet global challenges and we need robust responses to reclaim trust in both scholarly publishing and the expertise of researchers as we map the path to the future. Covid-19 stress-tested scholarly communication and there’s room for improvement but also inspiration for change. A changing world has led to new solutions and new players – but are they robust and tested for long-term trust? Pre-prints proved a rapid way to communicate potentially crucial findings in a crisis but is the world ready to understand the implications of reading un-tested research? Peer review, the bastion of trusted science, is under scrutiny from those within and outside research and with calls for transparency and openness in science, where next for dissemination of research findings? 2021 is the start of a very new and very different period in history and we come together with purpose and a collaborative spirit. [View the Full Program](https://www.ape2021.eu/full-program/program)
Migration Memes and Social Gaze: An Analysis of Facebook Memes on the Rohingya Community in Bangladesh

Social Transformations: Journal of the Global South is an outlet for critical but engaged knowledge about social justice, collective well being, and sustainable development within and across the Global South, a region we take to refer to societies in Asia, Africa, Latin America, and the Pacific that are economically, politically, and culturally marginalized. Such studies trace interrelations and solidarities between and among peoples, states, and movements, while acknowledging tensions and contradictions within the South, as well as the legacies, manifestations, and trajectories of the North’s dominance. We support work that analyzes and enables positive change emerging from social movements, development paradigms, policies, and community and grassroots-based interventions. We publish interdisciplinary empirical and conceptual contributions from the different social and human sciences. We also encourage writing that is accessible to specialists and nonspecialists, avoiding both excessive theoretical abstraction and unreflexive empiricism. Social Transformations: Journal of the Global South is an internationally peer-reviewed journal published twice a year.