Reviewerly/exHarmony huggingface dataset:
Is Uptake Essential to Perlocution? A Defence of Illocutionary Silencing

Abstract Hornsby and Langton (H&amp;L), put forward the idea of silencing as an "illocutionary disablement". Appealing to Austin's speech act theory, they situate silencing as opposite to speech act and argue that when there is silencing, people's illocutionary act fails and their right to free speech is violated. This paper presents a defence of H&amp;L's account of silencing, against objections raised by Ishani Maitra (2009). Maitra questions the model of illocutionary silencing by arguing that Austin's illocutionary model is inaccurate and vague hence, not useful for the discussions of silencing. In response, I argue that Maitra's understanding of the perlocutionary act is misguided and requires a critical examination. Maitra discusses the notion of the perlocutionary act as the goals that the speaker achieves by securing the uptake. I oppose such a view by arguing that securing the uptake does not ensure the performance of a perlocutionary act
PENERAPAN APLIKASI DIAGNOSA PENYAKIT JANTUNG MENGGUNAKAN ALGORITMA FORWARD CHAINING BERBASIS MOBILE

Heart disease ranks the top cause of death compared to stroke, lung cancer, breast cancer, and AIDS. Most ordinary people are very concerned about health, especially heart health. They are reluctant to check their heart health due to lack of service to patients, lack of medical personnel, especially cardiologists and limited working hours of doctors. So the need for a technology that is capable of adopting human thinking is artificial intelligence technology. Expert system is one of the artificial intelligence technologies. This expert system was created as a means to help diagnose and manage patients. The development of this system uses the forward chaining and certainty factor algorithms, and the system development tools used are UML (Unified Modeling Language), this research will produce an expert system application to diagnose heart disease with the output of possible diseases along with the percentage. It is hoped that this expert system will help and accelerate the work of cardiologists in diagnosing early heart disease. Keywords — heart disease, forward chaining, Unified Modeling Language, expert systems, diagnosis
Language Characteristics Supporting Early Alzheimer's Diagnosis through Machine Learning - A Literature Review

Alzheimer's dementia (AD) is the most common incurable neurodegenerative disease worldwide. Apart from memory loss, AD leads to speech disorders. Timely diagnosis is crucial to halt the progression of the disease. However, current diagnostic procedures are costly, invasive, and distressing. Early-stage AD manifests itself in speech disorders, which implies examining those. Machine Learning (ML) represents a promising instrument in this context. Nevertheless, no genuine consensus on the language characteristics to be analyzed exists. To counteract this deficit and provide topic-related researchers with a better basis for decision-making, we present, based on a literature review, favourable speech characteristics for the appliance toward AD detection via ML. Research trends to apply spontaneous speech, gained from image descriptions, as analysis basis, and points out that the combined use of acoustic, linguistic, and demographic features positively influences recognition accuracy. In total, we have identified 97 overarching acoustic, linguistic and demographic features.
Digital Object Identifier (DOI) Under the Context of Research Data Librarianship

A digital object identifier (DOI) is an increasingly prominent persistent identifier in finding and accessing scholarly information. This paper intends to present an overview of global development and approaches in the field of DOI and DOI services with a slight geographical focus on Germany. At first, the initiation and components of the DOI system and the structure of a DOI name are explored. Next, the fundamental and specific characteristics of DOIs are described and DOIs for three (3) kinds of typical intellectual entities in the scholar communication are dealt with; then, a general DOI service pyramid is sketched with brief descriptions of functions of institutions at different levels. After that, approaches of the research data librarianship community in the field of RDM, especially DOI services, are elaborated. As examples, the DOI services provided in German research libraries as well as best practices of DOI services in a German library are introduced; and finally, the current practices and some issues dealing with DOIs are summarized. It is foreseeable that DOI, which is crucial to FAIR research data, will gain extensive recognition in the scientific world.
Robust Model Compression Using Deep Hypotheses

Machine Learning models should ideally be compact and robust. Compactness provides efficiency and comprehensibility whereas robustness provides stability. Both topics have been studied in recent years but in isolation. Here we present a robust model compression scheme which is independent of model types: it can compress ensembles, neural networks and other types of models into diverse types of small models. The main building block is the notion of depth derived from robust statistics. Originally, depth was introduced as a measure of the centrality of a point in a sample such that the median is the deepest point. This concept was extended to classification functions which makes it possible to define the depth of a hypothesis and the median hypothesis. Algorithms have been suggested to approximate the median but they have been limited to binary classification. In this study, we present a new algorithm, the Multiclass Empirical Median Optimization (MEMO) algorithm that finds a deep hypothesis in multi-class tasks, and prove its correctness. This led to our Compact Robust Estimated Median Belief Optimization (CREMBO) algorithm for robust model compression. We demonstrate the success of this algorithm empirically by compressing neural networks and random forests into small decision trees, which are interpretable models, and show that they are more accurate and robust than other comparable methods. In addition, our empirical study shows that our method outperforms Knowledge Distillation on DNN to DNN compression.
The Use of Trilingual Languages by Gayonese and Bataknese Teachers in Teaching English

This research investigated the use of trilingual languages by Gayonese and Bataknese teachers in teaching English. This study used the theory of the Sapir-Whorf hypothesis and applied a qualitative method. The data were obtained from videos taken in the classroom. They were analyzed by transcribing the spoken language into written form, identifying the languages used by classifying them into sentences, and calculating the sentences of each language to find out the frequency of languages used by Bataknese and Gayonese teachers in teaching English. The teachers predominately used Indonesian in teaching English (62.70%), the local language (23.81%), and English (13.49%).&#x0D; Keywords: Language Use, Teaching, Culture
Exploration on the Construction of Teaching Materials in Higher Vocational Colleges

The construction of teaching materials is a basic and necessary part of the education and teaching work in higher vocational colleges. At present, there are several problems in the organization, compilation, and publication link of teaching materials for higher vocational colleges. In response to these problems, corresponding countermeasures are proposed.
Haematological Studies and Micronucleus Assay of Straw-Coloured Fruit Bats (Eidolon helvum).

The straw-coloured fruit bats (Eidolon helvum) are the most widely distributed megachiropteran species in Africa. Studies have shown that they migrate, and are likely exposed to environmental pollutants across population. This study was designed to investigate genotoxicity via the bone marrow micronucleus assay and haematological alterations of Eidolon helvum in the tropics. Healthy straw-coloured fruit bats (Eidolon helvum; n=20) were captured from two geographical regions, Ogun and Gombe States in Nigeria and were grouped based on sex and age.  Blood samples were collected for haematology and osmotic fragility, and bone marrow samples for genotoxicity studies. Results showed no significant differences in erythrocytes and leucocytes values across age and sex. The erythrocytes osmotic fragility was higher in juvenile than in adults at 0 and 0.1%NaCl, while it was higher in adult males than in adult females at 0 and 0.3% NaCl. The erythrocytes and leucocytes parameters in straw colored fruit bats were within the reference values seen in literature except the higher monocyte counts suggesting chronic inflammation. There were increased levels of micronucleated polychromatic erythrocytes and normochromatic erythrocytes in the straw-coloured fruit bats indicating genotoxicity and cytotoxicity, respectively. The present study provided baseline research data on the haematology and micronucleus profile of the straw-coloured fruit bats in Nigeria. This is perhaps the first study on haematology and micronucleus assay of in straw-colored fruit bats in the tropics.
Variation of the Earth’s Irradiance over Some Selected Towns in Nigeria

The extraterrestrial radiation is the solar radiation received at the top of the earth’s atmosphere on horizontal surface. This quantity over selected stations in the tropics was investigated. Daily data of the extraterrestrial radiation on the earth horizontal surface for the year 2018 for stations: Iwo, Abuja, Enugu, Port-Harcourt, Sokoto and Maiduguri obtained from the archive of HelioClim website were analyzed using MATLAB and Statistical Packages for Social Science (SPSS Version 20.0) to estimate the extraterrestrial radiation of the station considered. The results of the MATLAB revealed that the value of the coincidence is across all stations. In January, the values between 15 - 20 peaks were observed in the year with the Irradiation ( ) and the maximum ( ). The results revealed the Root Mean Square Error RMSE for Sokoto (139.99), Abuja (162.72), Iwo (177.07), Maiduguri (171.34), Enugu (191.07), Port-Harcourt (212.27). The results also revealed that quadratic trend equation which accounted in the range 95.9% - 41.9%. The results then concluded that Sokoto and Maiduguri have the highest solar Irradiance as revealed by the result.
A Novel Symmetric Key Generation Technique for Securing Images in the Cloud: A Comparative Study

Cloud computing has revolutionized the world of computing.Cloud storage enables consumers to remotely store their data and enjoy the flexible, pay-as-you-go on-demand high quality cloud applications.Cloud computing gained popularity as users need not take the burden of hardware and software management.So the new trend is to outsource the multimedia information to cloud.Today, the rate at which the image data set produced is exponential in nature.Hosting of data including multimedia by third party gives rise to many questions related to the privacy and security since the cloud environment makes use of shared resources over internet.To address the above mentioned problem, we propose a new method to secure the images in the cloud environment.We are using Data Encryption Standard (DES) and Advanced Encryption Standard (AES) algorithm for encryption and the symmetric key used by these algorithms is generated by Elliptic Curve Cryptography Diffie Hellman (ECCDH) /Neural network.The actual key used for encryption is different from the key shared between the two parties.If the key1 which is shared between the two parties is compromised, the actual key used for encryption will not be known to the unauthorized person.Hence the greater level of security is provided by the proposed technique.The comparative analysis of the existing system and proposed system is carried out by considering Performance and Security parameters.
Analysis of the Influence and Prediction of the Number of Students on PNBP using Multiple Regression

Conduct forecasting analysis with good accuracy for other PNBP components which can ultimately be the basis of PNBP receipt projection.Multiple Linear Regression is used to predict how the state (ups and downs) of independent variables, when two independent variables as predictor factors are manipulated (the ups and downs of values).By analyzing the relationship between several variables to measure the degree of relationship and the direction of the relationship between independent variables and dependent variables then predict a variable to forecast in the future.In this study simultaneously independent variables namely The Number of Student and Facilities influenced dependent variables namely PNBP and through multiple linear regression equations produced by future forecasting with the results of measurement of forecasting errors are very small.
Development of Digital Skills and Engineering Thinking in Students as Part of the Digital Summer Project

Digitalization of the economy is a key priority for Russia today, which makes the problem stated herein relevant. Personal motivations, values, mor-als, and ethics are of increasing importance. In this regard, project, flexible, and soft skills are coming to the fore; these include digital skills such as the ability to confidently, effectively, critically, and safely pick and apply in-formation and communication technologies in various aspects of life. Re-search and experimentation skills, being an integral part of engineering cul-ture and thinking, stay relevant, too.&#x0D; The purpose of the study is to prove the effectiveness of developing digi-tal competencies and engineering thinking in children and young people dur-ing the Digital Summer project, developed as part of a grant for conducting thematic sessions in advanced areas of discrete mathematics, informatics, and digital technologies.&#x0D; In the course of the study, effectiveness was assessed by mathematical processing of the results of questionnaires and surveys of session partici-pants. The results of the study allow concluding that it is possible to translate the experience gained into the system of working with children and youth.
COVID-19 and the Creative Music Ecology

Karen Ng and Scott Thomson reflect on the impact of the pandemic on the field of creative improvised music from their perspectives as performers, composers, and presenters. Along the way, they explore the nature and limitations of livestream performance, and articulate why, as co-programmers of the Guelph Jazz Festival, they have not presented livestream or other digital programming during the pandemic.
Development of E-Learning Courses as a Modern Tool for Teaching Elective Subjects in Physical Culture and Sports at the University

The article highlights the practical experience of creating an electronic training course on the elective discipline “Physical Culture and Sport” as a modern means of teaching in higher educational institutions. The practical significance of the introduction of modern innovative teaching methods, the need to supplement traditional teaching methods with the latest developments using informatization and computerization tools is indicated. We have proved that the use of electronic training courses on the elective discipline “Physical Culture and Sport” allows to ensure the continuity of the educational process for correspondence education students and increase the degree of assimilation of educational material
The Teacher's Role In Developing A Sense Of Respect For Socio-Legal Norms In Primary School Children

A person's life takes place directly in society, among those who live in it. The effectiveness of interpersonal relations between members of society directly depends on the content of social relations of the individual. The content of public relations, in turn, is determined by the definition of social and legal norms, the degree of their recognition by society, as well as their compliance in practice. The article analyzes social relations in primary school children.
Kualitas Argumentasi Mahasiswa dalam Wacana Debat “Budaya Literasi Sekolah” pada Pembelajaran Keterampilan Berbahasa

The purpose of this study is to analyze the method in the debate of “school literacy culture” conducted by postgraduate students of the Muhammadiyah University of Surakarta in language skills learning. The data of this study are words and sentences in the orthographic transcriptional results of the “school literacy culture” debate. The data source is the result of a debate from a graduate student at the Muhammadiyah University of Surakarta under the title “culture of school literacy”. The method used in this research is a qualitative descriptive approach. Data collection used the record method and continued with the note taking technique. Data analysis used the referential equivalent method and was strengthened by the intralingual method. The results of this study are the method of analysis in the discussion begins with an interesting opening, then the statement delivered by the debate participants in accordance with the debate theme, the debate participants' thinking lines are clear and coherent, the priority scale has been fulfilled, the time allocation is appropriate, and the closing submission has been cover the whole idea. The conclusion from this research is that the debate has been going well but there are still parties who dominate
IMPLEMENTATION OF INTERDEPARTMENTAL MENTORING PROJECT “KINDERGARTEN - SCHOOL - UNIVERSITY”

Mentoring programs implemented within the frameworks of interdepartmental cooperation is one of the promising outlooks for professionalization of students’ academic activity. Analysis and summarizing of such mentoring project realization experience are the objective of the article. The article studies the author’s model of mentoring the core of which is represented by methods of analysis and synthesis of accumulated knowledge in the sphere of linguodidactics, experiment and observation methods, communicative method of foreign language teaching.
Baker Library Develops Virtual Open House 2020

At Harvard Business School Baker Library, a major impact of the pandemic was the upending of the method for delivering our signature MBA Open House event.Held every August during MBA "START" week, the open house serves as our opportunity to introduce students to Baker Library's spaces, services, resources, and staff.We normally hold this in person in the library over the course of an afternoon.This year we held the event virtually via Zoom.
О магнитометрическом определении концентрации радиационных дефектов в сверхпроводящей пленке GdBa-=SUB=-2-=/SUB=-Cu-=SUB=-3-=/SUB=-O-=SUB=-7-x-=/SUB=-

An express magnetometric technique is proposed, which makes it possible to determine the inhomogeneity of the change in the superconducting properties of a thin superconductor layer due to radiation exposure. A numerical simulation of this technique is carried out using the example of a superconducting GdBa2Cu3O7-x layer irradiated with hydrogen and helium ions. The profile of the concentration of radiation defects was calculated using the SRIM software package. The calculation of the density distribution of superconducting currents induced by an external magnetic field was carried out within the framework of the critical state model. Model calculations have shown the effectiveness of the proposed method.
Cross-Platform Analysis and Development of Online Catering Platform (Kunyahku)

Kunyahku is an online catering platform that provides catalogs of menus from local caterer near the user and become the distributor that will take the order and deliver them. In developing an application, the most important aspect for small start-up companies is to have a development stack that can deliver the app into multiple platform by using a single code base to reduce the cost of developers, improve efficiency and reduce the time to develop the application itself. To provide the necessity of building an application for Kunyahku, this paper is aimed to find the most suitable cross platform framework for developing the Kunyahku application. This research focuses on comparison between existing popular cross-platform and proving the suitable one to be used in development cycle in the case of Kunyahku requirements. Sets of test and comparison were conducted in order to compare the most suitable cross platform between React Native and Flutter such as render test and comparing each advantage coming out from using each of the cross-platform.After all the requirements are gathered and then the most suitable framework will be chosen which is Flutter. Performance analysis and the benefits of using Flutter framework are elaborated and thus proving it is the most suitable development stack to be used in Kunyahku case and the development time can be reduced since it is a cross-platform technology that output the application into three different platform rather than managing separate platform for each different one. Testing shows that flutter also met all the requirements thus proving flutter address the problems of scalability and faster development compared to developing each native platform one by one.
REPLAY: It’s March 11th. Let’s try to fight Covid differently. How would you do it?

Suppose you have the ability to go back to March 11th of 2020 - the date the WHO officially declared COVID-19 a pandemic1.&#x0D; What could have been done differently with respect to digital health product development?&#x0D; Were domain experts utilized to the best of their abilities? What can we learn from COVID-19 for future public health crises planning?&#x0D; Digital health data is now, more than ever, deeply influencing our lives. Having robust digital health tools to support public health surveillance is no longer a problem for technocrats.&#x0D; It’s everyone’s business now.&#x0D; Through the COVID-19 pandemic, I had the opportunity to lead a digital health startup, Flatten.ca, that focused on collecting symptom data from people in Canada and in Somalia2. This experience led to collaborations with big-tech companies, researchers, government officials, startups, and investors.&#x0D; Reflecting back on my experiences, I see many flaws in the process by which the North-American community decided to develop and deploy digital health tools. Simply put, a lack of speed and strategically allocated domain expertise hindered our success. Why did Canada take 5 months to launch a contact tracing app and Singapore only 10 days?&#x0D; This perspective piece aims at answering the questions highlighted above and analyzing the North-American response to build digital health tools as the COVID-19 pandemic rages on. Whether you’re an investor, academic, student, founder, or otherwise involved in the digital health industry, and you’re thinking about how to effectively support product development for future public health crises, this can help better inform where your efforts are best spent.
Measuring information security policy compliance: content validity of questionnaire

&lt;span&gt;Instruments used to measure compliance with information security policies have been developed by many researchers before, but only a few have conducted validity tests per item, especially for variables selected based on qualitative research. This study aims to validate the questionnaire will be used to measure user compliance with policies of information security. This study began by designing a questionnaire and conducting content validation using content ratio validation (CVR) and content index validation (CVI). As many as eight experts from the university assessed the items given. The results of 72 items submitted a questionnaire, as many as 22 items eliminated, and only 50 items that have CVR and CVI values above 0.75. Also, Kappa statistical calculations show that items have excellent reliability among assessors at the item level. This study revealed that this instrument had obtained an appropriate level of validity to measure compliance with information security policies. &lt;/span&gt;