Reviewerly/exHarmony huggingface dataset:
Public utility or places of experiment? The reality of the asylum

The intention of this paper is to provide the most thorough overview of what concerns the reality of the asylum, through different types of analysis, in order to outline a detailed historical, political, health and cultural picture of the phenomenon. The historical and socio-psychological analysis in the paper traces the stages of the stigma of the "insane" (since antiquity, in fact, insanity and diversity have been two of the most unknown and frequent problems in the history of mankind) from the Middle Ages to the present day, a very long period of time in which there have been more and more interpretations on the subject; suffice it to say that now we speak of "mental illness", while years ago the mentally ill person was referred to by most as "crazy", a victim of insanity, an incurable disease. Following the analysis is carried out from a social and political point of view with a focus on the darkest and hidden aspects of asylums "Goffmanian" defined as "total institutions". In this sense, the work will focus on the various controversies and protests that have taken place over the years, and on the consequent laws taken on the subject, up to the Basaglia Law of 1978. It will also examine the internal organization of asylums, their structure bare and free of disturbing elements for patients, the training practices of staff, without of course neglecting the condition, the day type of patients and especially the "special treatments" reserved for patients. The flagship of this work is an interview with a former nurse from the largest asylum in Italy, the Mombello asylum, which aims to collect a testimony as it can be direct, engaging and above all not devoid of empirical references.
Post-quantum algorithm of Classic McEliece key encapsulation

A comprehensive analysis of a candidate-finalist of the International Post-quantum Cryptography Competition NIST PQC, namely, the Classic McEliece algorithm, the key encapsulation algorithm based on code cryptosystems, is carried out. The aim of this work is a primary study of the basic characteristics of the Classic McEliece algorithm, such as the mathematical model, the expected cryptographic strength and quantitative assessment of the resources.The paper gives the analysis of the mathematical model of the Classic McEliece algorithm, description of the main functions and transformations, comparison of the primary model of the algorithm proposed by Robert McEliece in 1978 with the considered algorithm, analysis of the modifications made by the authors of Classic McEliece. It also provides recommendations for further areas of research and refinement of the algorithm. As a primary assessment of cryptographic security, an analysis of compliance with modern requirements for post-quantum cryptosystems is carried out, namely, ensuring the property of indistinguishability for attacks based on selected plaintext, indistinguishability for non-adaptive and adaptive attacks based on selected cipher text.The paper analyzes the memory costs for storing system parameters, evaluating the impact of their size on the system performance. The characteristics of the Classic McEliece algorithm are compared with similar algorithms based on the algebraic codes presented as alternatives at the NIST PQC Competition, namely, the BIKE and HQC algorithms. The performance evaluation is carried out for three basic functions of the algorithm: keys generation, encapsulation and de-encapsulation.
Surveillance Camera Based Fall Detection System Using Long Short Term Memoryfor Elderly People

Event detection in videos is becoming an emerging area of research now a day.Monitoring of people activities using a surveillance camera is an essential one in a recent lifestyle for safety and security.The surveillance cameras are used in a wide variety of places such as in public places, Hospitals, Schools, and Homes for the beneficiaries of common people, patients, children and the elderly.In case of any emergency or abnormal events, immediate notification should be given to the respective people.The abnormal events are recognized from the videos using deep architectures.The goal of event detection in videos is to detect simple and complex actions in real-time data.This has a lot of attention in real-time ambient assisted living environments especially for elder people who live alone in the home.In this paper, a deep architecture of long short term memory recurrent network is proposed to detect fall actions in video inputs..
Amplitude-modulated, Cosine PE and WP Pulses: Theory and Applicability

The amplitude-modulated, cosine powerexponential (PE) and windowed-power (WP) pulses are discussed, by insisting on their time-domain normalization.Illustrative examples of signatures and their correspondent frequency-domain behavior are given.These examples compellingly demonstrate the possibility to replace non-causal pulses of prevalent use by causal, or even time-windowed, pulses with closely resembling signatures.
THEORETICAL ASPECTS OF DETERMINING THE IMPACT OF SPECIAL PHYSICAL READINESS OF FUTURE OFFICERS OF INSTITUTIONS OF THE SECURITY AND DEFENSE SECTOR OF UKRAINE ON THEIR READINESS FOR MILITARY SERVICE

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Reading Paper Books: Being in the Space of Intercommunication

The article is devoted to substantiation from the standpoint of intercommunication as a social practice of the essential advantage of reading paper books and the relevance of book practices of the library service. The methodological tools of the study were based on the methods of hypothesis, included and external observation, extrapolation, survey, comparative and analytical methods, the use of which, along with the formulation of the general idea of the study created the basis for understanding the book as an object that represents the author, characters, and texts and can perform the function not only of an information source, but also of the narrator, and thus of the subject of communication; made it possible to identify common and special features of reading electronic and paper books, to draw conclusions about the priority format for young people reading literary texts, to identify modern scientific approaches to studying the role of books and reading for personal development. Based on the analysis of current professional publications, data on the study of reader behavior conducted in autumn 2018 by the cultural and publishing project “Chitomo” together with the digital publishing house Gutenbergz and the Razumkov Center ("Reading in Ukraine", 2018), the results of a survey of students majoring in 029 “Information, library and archival business”, which was carried out during 14.01.2021–14.02.2021, the relevance of maintaining the practice of reading books in paper format is proved, the formation of the space of communication as a social practice, based on the functioning of the paper book as a subject of communication, has been substantiated. The topic of such communication is both the text printed in the book and the whole set of historical, social and socio-cultural meanings associated with the authors of the books, their publishers and / or former owners. It has been found that e-books, being effective communicators, lose subjectivity, which creates risks for reading-oriented people to weaken communication and socialization skills, and thus – actualizes the need to maintain access to real bookshelves and paper books in the library. space. In the conditions of needs of access to electronic texts, dynamics of social processes, social mobility, the library remains a place that allows preserving and reproducing important for the formation and socialization of personality social practice of interpersonal communication, in particular by creating conditions for real communication with paper books.
Learning How To Learn NLP: Developing Introductory Concepts Through Scaffolded Discovery

We present a scaffolded discovery learning approach to introducing concepts in a Natural Language Processing course aimed at computer science students at liberal arts institutions.We describe some of the objectives of this approach, as well as presenting specific ways that four of our discovery-based assignments combine specific natural language processing concepts with broader analytic skills.We argue this approach helps prepare students for many possible future paths involving both application and innovation of NLP technology by emphasizing experimental data navigation, experiment design, and awareness of the complexities and challenges of analysis.
Multi Objective Optimal location of Phasor Measuring Units Considering the Limitation of the Number Measuring Channel and the Effect of Zero Injection Bus and Transformers

Multi Objective Optimal location of Phasor Measuring Units Considering the Limitation of the Number Measuring Channel and the Effect of Zero Injection Bus and Transformers
Pendampingan dalam pengembangan media pembelajaran sebagai salah satu upaya untuk memperoleh sertifikasi bagi guru-guru SMK 1 Watampone

Community Service Activities in the form of assistance in the development of learning media aim to provide knowledge and skills in developing learning media that meet the requirements for certification for teachers. The ability to develop instructional media is expected to accelerate and facilitate the acquisition of in-service teacher certification. The target audience in this PPM activity is the 26 teacher of SMK 1 Watampone. Assistance in the development of instructional media is carried out by means of lectures, demonstration and exercises accompanied by question and answers. The Lecture method is used to explain the introductory concepts of professional teachers and teacher certification and the theory of instructional media. The demonstration method is used to show a work process, namely the stages of developing computer-based learning media, while the training method is to practice making media that meets the requirements of the teacher certification program. While the question and answer method is to give participants the opportunity to consult in overcoming obstacles in the development of learning media. The benefits that participants can get from activities include being able to compile and develop computer-based learning media according to the training subject being taught.
Penerapan Metode Demonstrasi dalam Meningkatkan Hasil Belajar Siswa pada Mata Pelajaran Prakarya di MTs Negeri 2 Gunungkidul

This research aims to improve students' learning outcomes in pre-work subjects of vegetable food processing by applying demonstration methods. The subject of this study is students of grade VII-B MTs Negeri 2 Gunungkidul year 2019/2020. The study used a class action method, carried out in two cycles. The results showed an increase in student learning outcomes in each cycle. Students' study results in cycle I averaged 67 with a complete 60%. In cycle II there was an increase in learning outcomes with an average score of 78 with a completeness of 80%. This research shows that the application of demonstration methods can improve the learning outcomes of students at MTs Negeri 2 Gunungkidul.
The Role of Trustworthiness in Achieving Customers’ Loyalty in Tourism and Hotel Sectors

Several investigations on crisis management are demonstrating interest in the role of occupational safety culture awareness factors.Thus, focusing on safety culture factors is an essential issue in health and safety as a means of mitigating crises caused by nature in the workplace.This study investigates the influence of hotel safety culture on employees' safe behaviour during the crisis of Covid-19 to recommend some practices and allow those in charge of this industry to follow during this period to overcome this crisis.Therefore, the first step is to identify the relevant safety culture factors.A measurement tool in the form of a questionnaire was used to explore the impact of hotel safety culture (HSC) on employee safe behaviour.The questionnaire survey contains twelve constructs, namely: "risk management; safety training; safety knowledge; safety rules; safety perceptions; safety supervision; safety commitment; safety rewards and punishment; safety environment; safety communication; safety compliance and safety participation".Confirmatory factor analysis (CFA) was utilized to analyse 257 questionnaire forms collected from employees.The study results depict that six safety culture factors out of ten proposed (risk management; safety training; safety rules; safety supervision; safety environment; safety communication) were the most important factors affecting employees' safe behaviour during the crisis of COVID-19.
Integrated Strategies: Upaya Meningkatkan Minat Baca Siswa SMA Negeri 1 Sugihwaras Bojonegoro

This study aims to determine the level of difference in students' reading interest before and after the implementation of Integrated Strategies. This study uses qualitative descriptive methods. The subject of the study was a student of SMA Negeri 1 Sugihwaras Bojonegoro in the 2019/2020 school year. The results showed an increase in students' reading interest after the implementation of several strategies implemented at SMA Negeri 1 Sugihwaras Bojonegoro.
Fake Review Prediction and Review Analysis

Online reviews can be deceptive or manipulative evaluations of services and products which are often carried out deliberately for manipulation strategy to mislead the readers. Identifying such reviews is an important but challenging problem. There are even some associations in the merchandise industry who are hiring professionals to write fake reviews so that they can promote their products or defame rivals products. Hence we aim to develop a method which will detect fake reviews and remove them. The proposed method classifies users’ reviews into suspicious, fake, positive and negative categories by phase-wise processing. In this paper, we are processing hotel reviews by using different data mining techniques. Moreover the reviews obtained from users are being classified into positive or negative which can be used by a consumer to select a product. Organizations providing services can monitor customer sentiments by scrutinizing and understanding what the customers are thinking about products through reviews. This can help buyers to purchase valuable products and spend their money on quality products. Also in our model end users see star ratings based on reviews for each hotel.
Classification of Tweets for Video Streaming Services’ Content Recommendation on Twitter

&lt;p&gt;Streaming services were popular platforms often visited by internet users. However, the abundance of content can be confusing for its users, prompting them to look for a recommendation from other people. Some of the users looked for content to enjoy with the help of Twitter. However, there were irrelevant tweets shown in the results, showing sentences not related at all to the content in the streaming services platform. This study addressed the classification of relevant and irrelevant tweets for streaming services’ content recommendation using random forests and the Convolutional Neural Network (CNN). The result showed that the CNN performed better in the test set with higher accuracy of 94% but slower in running time compared to the random forest. There were indeed distinctive characteristics between the two categories of the tweets. Finally, based on the resulting classification, users could identify the right words to use and avoid while searching on Twitter.&lt;/p&gt;&lt;strong&gt;Keywords: &lt;/strong&gt;text mining, streaming services, classification, random forest, CNN
An Analysis of the Use of Diction on Covid-19 News in Disway.id

The aim of this study is to analyze the use of diction in Covid-19 reporting on the news site disway.idwritten by Dahlan Iskan, a senior Indonesian journalist.This study to analyze the diction based on the Gorys Keraf theory which includes; (1) diction based on meaning consist of denotation and connotation (2) diction based on lexical issues related to Covid-19, and (3) the function of diction in Covid-19 news on www.disway.id.The research method used is descriptive qualitative method.The object of the research is dictions in the form of words, phrases, clauses, and sentences in Dahlan Iskan's four articles on disway.idwith different themes.The articles are those published on April 8, 2020, June 4, 2020, September 26, and October 8, 2020.Data collection was conducted by reading, recording, classifying and analyzing.The validity of the data in this study was obtained through observation, discussion, and sufficient references.There are three research results found based on the data analysis.First, the type of diction used by Dahlan Iskan on disway.id in the Covid-19 issue is diction which has denotative and connotative meanings, but most of the dictions (90%) of the articles use denotative diction.Second, the dictions are based on a lexical structure which shows the diversity of the dictions used.Mostly, the use of dictions ha synonyms, homonyms, and homographs.Third, the function of diction in Covid-19 news on disway.id is to attract readers, create public opinion, and provide understanding from various perspectives on Covid-19 issues.
Profile of Ability to Produce Fantasy Story Texts of Mataram City Junior High School Students: Aspects of Structure, Language, Characteristics and Coherence

This study aims to describe the profile of the ability to produce fantasy story texts for junior high school students in Mataram city.The aspects studied include structure, linguistic rules, characteristics, and coherence.The data was collected through the document review method.The source of data is the text of fantasy stories made by junior high school students in Mataram city.In this case, the sample was taken from four schools, namely two city center schools (junior high school 2 and 15 Mataram) and two suburban schools (junior high school 3 and 8 Mataram).The data analysis is conducted by following the principles in qualitative research, namely the data reduction stage, data presentation or organization, and data verification or interpretation.Based on the results and discussion, it can be described the profile of the ability of junior high school students in Mataram city in making fantasy story texts, namely as follows.(1) In the aspect of the fantasy story text structure, the ability of junior high school students in Mataram city is in the quite capable category with an average score of 78.125; (2) In the aspect of linguistic rules of fantasy story text, the ability of junior high school students in Mataram city is in the capable category with the average score of 83.125; (3) In the aspect of the characteristics of the fantasy story text, the ability of junior high school students in Mataram city is in the quite capable category with average score of 72.50; and (4) In the aspect of the coherence of the fantasy story text, the ability of junior high school students in Mataram city is in the capable category with average score of 82.50.In general, the profile of the ability of junior high school students in Mataram city in making fantasy story texts is in the capable category with average score of 79.06.However, in some samples there are also students whose abilities in the very capable, quite capable, and even incapable categories.It is suggested for teachers to be more intense in guiding their students, including providing special guidance for students who are still in the sufficient and incapable category.
PRESCHOOL STUDENTS’ CREATIVE THINKING DEVELOPMENT IN THE PROCESS OF ADDITIONAL EDUCATION

The article is devoted to the problem of developing preschool students’ creative thinking. The main objective of the study is to reveal the possibilities of additional education in the development of students’ creative thinking, since it is one of the important forms.Based on the study and analysis of literature, it was found that the development of creative thinking is based on the child’s enthusiasm for a certain type of creative activity: chess, dancing, wrestling, visual or theatrical activities, phytodesign, modeling, robotics and others.The authors revealed the potential and content of each of these types of activities and suggested ways to implement them.The proposed ideas will be useful in constructing individual educational trajectories based on the personal needs of students in the process of further education, where the child learns to plan their own activities, mastering the skills of self-management.
Intent Features for Rich Natural Language Understanding

Complex natural language understanding modules in dialog systems have a richer understanding of user utterances, and thus are critical in providing a better user experience.However, these models are often created from scratch, for specific clients and use cases, and require the annotation of large datasets.This encourages the sharing of annotated data across multiple clients.To facilitate this we introduce the idea of intent features: domain and topic agnostic properties of intents that can be learned from the syntactic cues only, and hence can be shared.We introduce a new neural network architecture, the Global-Local model, that shows significant improvement over strong baselines for identifying these features in a deployed, multi-intent natural language understanding module, and, more generally, in a classification setting where a part of an utterance has to be classified utilizing the whole context.
A Smart Vision Based Single Handed Gesture Recognition system using deep neural networks

The primary and expressive mode of human communications are gestures.Human can interact with machines using body postures and finger pointing.Advancements in human-computer interaction (HCI) has presented new innovations in technology making the users to communicate with computers in an instinctual manner.Evidences clearly state that future living space will be dominated by sensor-based devices and hence an efficient human-computer interfaces are required to exchange information.Hand gesture interfaces have been employed in multiple domains and has won social acceptance.System requirements for gesture recognition vary with the intended application areas.Responsiveness, Learnability, Cost and Accuracy are major drivers for success of hand gesture recognition systems.This paper suggest a HCI design that requires no wearable markers or gloves.A noninvasive vision based framework has been suggested for human-machine interface.Deep Neural Networks have provided promising results in vision based tasks.Convolutional Neural Networks (CNN) are claimed for image recognition problems as they learn features from images gradually and automatically.An optimal CNN architecture has been proposed to recognize single handed gestures.The images of hand gestures convey a numerical representation of ten digits.Image augmentation has been performed to increase the size of training data for deep learning.Depending on application, the interpretation of gesture can be customized.The classification performance has been analyzed with metrics reported by confusion matrix.The proposed architecture performs well both in training and testing reporting the accuracy of 98.2% and 96.2% respectively.Tuning the hyper parameter has improved test accuracy.