Reviewerly/exHarmony huggingface dataset:
Effective Contact Tracing for COVID-19: A Systematic Review

Contact tracing is commonly recommended to control outbreaks of COVID-19, but its effectiveness is unclear. Following PRISMA guidelines, we searched four databases using a range of terms related to contact tracing effectiveness for COVID-19. We found 343 papers; 32 were included. All were observational or modelling studies. Observational studies (n=14) provided consistent, very-low certainty evidence that contact tracing (alone or in combination with other interventions) was associated with better control of COVID-19 (e.g. in Hong Kong, only 1,084 cases and four deaths were recorded in the first 4.5 months of the pandemic). Modelling studies (n=18) provided consistent, high-certainty evidence that under assumptions of prompt and thorough tracing with effective quarantines, contact tracing could stop the spread of COVID-19 (e.g. by reducing the reproduction number from 2.2 to 0.57). A cautious interpretation indicates that to stop the spread of COVID-19, public health practitioners have 2-3 days from the time a new case develops symptoms to isolate the case and quarantine at least 80% of its contacts.
Active Learning Using Difficult Instances

Active learning systems achieve high accuracy with a low labeling budget by annotating high utility instances incrementally. In uncertainty sampling, labels of instances with maximal uncertainty are queried; however, redundant instances with similar features are often selected during the sampling process. We proposed a novel difficulty-based active learning framework that constructs decision boundaries by sampling instances with maximal classification difficulty. We propose three instance level difficulty measures, specifically base classifier count, fluctuation score and individual error score, in a boosted ensemble setting to identify difficult to classify instances. In real-life settings, obtaining labeled data is often expensive and requires domain experts; unlike other difficulty measures that assume complete label knowledge, the proposed measures need only limited labeled data. Experiments with real-world and synthetic datasets show that difficulty-based sampling requires significantly fewer labeled instances to achieve high accuracy than uncertainty sampling.
SleepHill: Designing an Incrementally Bouncing Pillow as a Comfortable Wake-Up Approach

Healthy sleep is crucial to individuals’ health and wellbeing, whereas healthfully waking up from the sleep cycle can significantly improve the sleep quality. Among technologies used as sleep alarms, haptic feedback has been widely adopted to serve as an effective wake-up alarm, yet how it can comfortably wake users up is underexplored. This paper presents a design study of SleepHill, an inflatable sleep pillow that can incrementally bounce its body and softly tilt its surface to create a gentle yet efficient haptic alarm for comfortable wake-up. We prototyped SleepHill and conducted a pilot user study to preliminarily understand the resulted user experiences. Our findings revealed that the wake-up process facilitated by SleepHill allowed participants to be gently awakened without being frightened. Also, we learned that the usage of SleepHill could produce improved sleep and wake-up experiences due to its incremental haptic feedback mechanism. Based on this project, we discuss implications for the future development of embedded tangible interaction design for improving the sleep circle with enriched wake-up experiences.
Research Mapping Based on Title Extraction Using Dependency Parser and K-Means Clustering

Research is one of the core activities in the university. Thousands of research articles are produced every year as a form of dissemination of knowledge resulting from research activities. All data regarding research articles are stored properly on the university server. But all that data just becomes a pile of data with an increasing volume of data without any meaningful treatment. In this study, the processing of the data was carried out for research mapping. Research topics or research areas can be reflected in the terms used by authors in writing research article titles. Research terms are extracted automatically using one of the natural language processing techniques, namely the dependency parser. To cluster the research terms, word embedding is done first using the Word2Vec model so that word features are generated in the form of a Vector Space Model. The word features are then used as input to the K-Means clustering algorithm. The results of clustering are evaluated based on the number of minus silhouettes in several K clusters. The optimal number of K in this study was seven, with the percentage of the minus silhouette at 8.29%. This optimal K number is also confirmed through the scatter plot visualization. Furthermore, the clusters are labeled based on the topic modeling of each cluster using the Latent Dirichlet Allocation model.
The Implementation of Decision Tree Classification Techniques to Predict the Duration of Students Completing the Thesis at PTIK FKIP UNS

&lt;span&gt;This paper aims to determine the reasons why students take a long time in compiling their thesis. The slowness of students in compiling will have an impact on their graduation. This is a serious problem faced by educational institutions. Out of 328 students at PTIK FKIP UNS who took thesis credits, only 85 were able to graduate on time. Therefore, this study was conducted to identify the causes. The research data was taken from the alumnus class of 2012 to 2017. The data was processed using RapidMiner software. The technique used was the decision tree classification technique with the C4.5 algorithm, and to optimize the accuracy of the model, the Particle Swarm Optimization (PSO) algorithm was also added. This study got an accuracy rate of 76% and an AUC score of 0.733.&lt;/span&gt;
Factors Affecting Economic Development

Economic development implies an improvement in economic welfare through higher real incomes and other welfare indices such as improved literacy, better infrastructure, reduced poverty, and better health care. Economic development requires a degree of political stability, investment, and a mixture of public and private initiatives to increase economic potential. This study aims at highlighting factors affecting economic development. The study leverage the World Bank (2017) report on inward investment, which shows that the biggest block to development is prolonged civil unrest/military conflict as this causes investment to dry up and resources to be wasted on unproductive means. It underscores the importance of addressing such concerns to advance the African economy.
QuiKo: A Quantum Beat Generation Application

In this chapter, a quantum music generation application called QuiKo is introduced. QuiKo combines existing quantum algorithms with data encoding methods from Quantum Machine Learning to build drum and audio sample patterns from a database of audio tracks. QuiKo leverages the physical properties and characteristics of quantum computing to generate what can be referred to as soft rules. These rules take advantage of noise produced by quantum devices to develop rules for music generation. These properties include qubit decoherence and phase kickback to controlled quantum gates within the quantum circuit. QuiKo attempts to mimic and react to external musical inputs, like the way that human musicians play and compose with one another. Audio signals (ideally rhythmic in nature) are used as inputs into the system. Feature extraction is performed on the signal to identify its harmonic and percussive elements. This information is then encoded onto a quantum circuit. Then, measurements of the quantum circuit are taken providing results in the form of probability distributions. These distributions are used to build a new rhythmic pattern.
The philosophy of stoicism in the process of forming value and semantic orientations of cadets of educational organizations of the MIA of Russia

The purpose of the study is to offer for consideration the stoic concepts of the ancient philosophical school of the stoics in the modern aspect of applying its foundations and ideals in the process of forming the value-semantic orientations of cadets of educational organizations of the Ministry of Internal Affairs of Russia. The article deals with the creation of pedagogical conditions for the formation of a value-semantic orientation in the training of cadets of the educational organization of the Ministry of Internal Affairs of Russia in conjunction with the heritage of ancient philosophical thought, a brief history of stoicism as a direction of philosophical thought of antiquity, the basic principles of stoic ethics, their relevance at the present time and their possible application in the formation of the value-semantic sphere in the training of future law enforcement officers, attention is focused on the loss of value orientations in the post-Soviet era, on the need to develop pedagogical conditions that contribute to the formation of a morally mature personality. Scientific novelty lies in the study of the issue of introducing the heritage of the philosophical thought of the Hellenistic period of antiquity into the modern educational and educational process in order to form spiritual and moral values among students. As a result, interrelated elements have been identified that actualize the application of the philosophical tradition of antiquity in the modern aspect of the formation of a morally stable personality, through the development of moral guidelines, a necessary element of which is the creation of pedagogical conditions that contribute to the formation of value-semantic orientations when teaching cadets of an educational organization of the Ministry of Internal Affairs of Russia.
Multiplane light conversion design with physical neural network

We present a physical neural network (PNN) approach towards multiplane light conversion (MPLC) design. PNN performs a full parameter search with flexible optimization pathways and can tune various design attributes as hyperparameters.
USING VIRTUAL REALITY SIMULATION TO REDUCE STAGE FRIGHT DURING PUBLIC APPEARANCES

Past applications of virtual reality (VR) and related research have provided evidence that VR technology is helpful for educational and training purposes and that it can be used as a therapeutic measure.Virtual reality exposure therapy (VRET) may, therefore, be beneficial in reducing public speaking anxiety (PSA), which is a very common phenomenon.In this preliminary study, we conducted an experiment to investigate the psychological and physiological response to stressors experienced when speaking in public by creating a virtual audience displaying worst-case-scenario behavior (gossiping, shaking their heads, pointing at the speaker, standing up, and even leaving the room).In addition, other potential stressors were introduced (standing on an elevated platform, jumping off the platform, blocking someone's path, approaching a door that opens automatically, and throwing objects).To measure the responses of participants to these stimuli, we asked them to complete a questionnaire and monitored their heart rate.Our findings suggest that people's anxiety increases when they interact with other people in a virtual world, and when they are exposed to certain stimuli, which may be reduced with the repeated application of VRET.
Joel Chadabe (1938–2021)

Haefeli describes Chadabe’s technological advances in electronic music at the time of the interview and compares and contrasts Chadabe’s thinking with Cage, with whom he worked. Childs and Chadabe discuss Chadabe’s concepts of levels in memory and process automation. They agree on problems such as process as proof of worth, serialism, masterwork culture, limitations in Schenkerian analysis, education, the obsession with historical music as opposed to historical art. They discuss the problems of notation both in instrumental and electronic composition, open and demonstrative teaching methods, and the rate of change in electronic music. Chadabe categorizes sound by waveform, and notes that Cage brought new sounds into the musical world. He believes that they were, following Meyer, at the end of the Renaissance.
An innovative approach to teaching the subject “Technology” in a secondary school

The article describes the approach proposed by the author to teaching the subject “Technology” in a secondary school. A feature of the proposed approach is its focus on the formation of innovative behavior of students in the context of continuous technological education, aimed at the continuous creation of new or changing existing technical and social systems, reducing resource costs, and achieving a high commercial effect. The role and place of the subject “Technology” in the psychological preparation of students for entrepreneurial activity, the formation of “habits of success”, the opportunity to try on the “role model” of an entrepreneur in the field of industrial production, innovation and agriculture at school age are shown. The possibilities of an innovative approach to teaching the subject “Technology” for productive socialization and social adaptation of graduates of secondary schools are shown.
School Homework or Assignments and Technological Intervention. A Challenge that Heralds a Paradigm Shift

Homework is an academic practice resource to support the teaching–learning process. It effectively reinforces the knowledge acquired in class, develops new skills, and connects the students with their social environments. Homework assessments identify the understanding or level of learning achieved and the failures, gaps, and knowledge that require reinforcement. From the assessments, recommendations can be provided to improve students’ understanding. Educational technology comprises the tools and resources applied to organizing the activities of the educational system in its various spaces and levels. Incorporating technology within the educational environment has modified some pedagogical methods to such a degree that teaching class occurs in new digital environments. The mathematics learning units in upper-middle school are no exception. Given the availability and accessibility of resources and the response speed of the Web to support students in the homework or assignments from the teacher, it is insufficient to realize their impact. More, it is necessary to know the tools and resources that students have at their disposal, know their context, navigate, discover, experiment, and analyze this new environment. But what does the Web offer to solve the various homework tasks or assignments that the teachers grant to their students in the mathematics learning unit?
RESEARCH IN THE CONDITIONS OF ARTISTIC ACTIVITY

The article is devoted to the methodical presentation of research and the function of its product in the conditions of artistic activity. To implement this, it is necessary to determine the specifics of the artistic activity itself, which in turn causes the need to update the issue of the possibility of a non-conceptual definition of the ontology of art. The relevance of this work is associated with an existing confusion among authors (artists, curators) and even cultural and art researchers of such concepts as applied and academic research, as well as everyday and scientific cognition. The obtained methodical and methodological constructions can be used, firstly, as a basis for understanding by the subjects of artistic activity the nature and specifics of one of its possible stages, and, secondly, as a tool for disciplinary propaedeutics of applied research deployed in the conditions of artistic activity.
Research on the application of zone of proximal development theory in school physical education teaching in China

Based on the "zone of proximal development" theory of educational psychologist levvygotsky, this paper studies the school physical education teaching in China by using the methods of literature and logical analysis.By analyzing the theory and combining with teaching practice, this paper explores how this theory guides physical education teaching and improves the teaching effect of physical education classroom.First of all, this paper expounds and analyzes the connotation of the zone of proximal development theory, and puts forward that teaching should be ahead of development.It analyzes the Enlightenment of this theory on school physical education teaching in China: from two aspects: promoting physical education teachers to update teaching concepts and optimizing teaching content according to the actual level of students.
Reliability Analysis of the Maturity Survey of Enterprise Business Continuity Activities

In order to maintain major functions and continuity during crisis, companies are establishing a Business Continuity Management System in accordance with a standard for disaster management under the Act on assistance to the autonomous activities of enterprises for disaster mitigation. This process is based on the presentation of the level of introduction of business continuity activities through the survey of the company’s preparation (maturity) for business continuity activities; however, the maturity survey in practice does not consider the importance of the survey items, indicating a problem in that the discriminating ability of maturity and the differentiation by field of business continuity activities cannot be considered. Therefore, this study reviewed the reliability of the survey results through case analysis of the maturity survey of the business continuity activity and analyzed the differences in the results by applying weight to each survey item. As a result, it was found that 34 questions in a total of 8 areas of the maturity survey lacked reliability in the classification between areas due to the burden of discrimination between items and the likelihood of similar responses of the survey subjects was high.
Strings and Arrays

In C# programming, you have various data types. For example, to store integers with various ranges, you can use the integral types (int, short, long, byte, sbyte, uint, ushort, ulong, and char). Similarly, you have floating-point types (float, double, and decimal) to store floating-point numbers. These types support different levels of precision and range. You also have bool type to store true or false values, as well as the string data type to store text. There are also custom data types, which you’ll learn about in Part II of this book.
Probability Distribution Representation Learning for Image-Text Cross-Modal Retrieval

In image-text cross-modal retrieval, most existing methods map the samples to point representations that relate the given sample to the specific single point and do not reflect the correlations between the given sample and all the points in semantic space, so that the semantic complexities of the samples and the local similarities between the samples are not fully exploited. To address the above issues, a probability distribution representation learning approach for image-text cross-modal retrieval is presented. Specifically, the method first incorporates lots of label information to capture the prominent features of the samples, which guides the model to construct the semantic spaces for different modalities and learn the distributions of the samples, based on variational information bottleneck. The probability densities of the learned distribution naturally reflect the correlations between the corresponding sample and all the points in semantic space. Moreover, the hinge triplet loss is introduced to align the distributions of the samples from different modalities at the semantic level, which makes the similar image-text pair have similar distributions. Finally, the learned distributions are used to represent the corresponding samples and the Bhattacharyya distance of the learned distributions to measure the similarities between the samples is leveraged, which is able to model the semantic complexities and explore the local similarities. The results of the experiments on Wikipedia and Pascal Sentence demonstrate that proposed method outperforms all of the 9 compared methods. The average mAP for the retrieval tasks of image to text and text to image evenly improves 15.0 percent points on Wikipedia and 13.6 percent points on Pascal Sentence.
The Influence of the Application of Video Media on Learning Activities and Science Learning Outcomes for Grade 6 Elementary School Students

This study aims to determine the effect of the application of video media on learning activities and science learning outcomes for fourth grade students of MINU Kedungcangkring. The research method used is quantitative with a causal comparative research design which is tested in one class. The assessment instrument used is a statement in the form of multiple choice, totaling 10 questions to find out the answers of the respondents. The sample of this study was class IV at MINU Kedungcangkring with a total of 25 students. The sampling technique in this research is sampling. Data analysis used Anova simple linear regression test. Data analysis used a simple linear regression test through the IBM SPSS 24.0 application. The results of the study on the linear regression test of video media on learning activities showed that the significance value of 0.000 was smaller than the significant level of 0.05, on video media on learning outcomes of 0.285 and on learning activities on learning outcomes it had a value of 0.641 where the overall value was significant. &gt; the significant level used is 0.05. Based on the results of this study, it can be concluded that there is an effect on the application of video media to learning activities but does not affect learning outcomes, learning activities and learning outcomes.
Effect of Mental Health Literacy on Anxiety of Middle School Students under the COVID-19 Pandemic: Mediating Role of Coping Style

Middle school students; Mental health literacy; Coping style; Anxiety
Upaya Meningkatkan Hasil Belajar Muatan Bahasa Indonesia pada Tema Benda di Sekitarku Melalui Model Pembelajaran Course Review Horay di Kelas III SD Negeri 94/X Lagan Ulu Tahun Pelajaran 2022/2023

The main problem in this study is the low learning outcomes of students which is indicated by the average daily test scores below the KKM that has been set. The purpose of this study was to obtain information and discuss efforts to improve learning outcomes in Indonesian content on the theme of things around me through the course review horay learning model in Class III SD Negeri 94/X Lagan Ulu in the 2022/2023 academic year. This type of research is Classroom Action Research. This research was conducted at SD Negeri 94/X Lagan Ulu. The subjects referred to in this study were students in Class III of SD Negeri 94/X Lagan Ulu, a total of 10 students in semester I (odd) in the 2022/2023 school year. The data collection techniques used in this study were field note techniques, student worksheets, observations, and documentary evidence. The technique used in analyzing the collected data is descriptive quantitative with percentage calculations and data is reduced through data reduction and inference from the results of the analysis. The conclusion from this study is that learning by applying the course review horay cooperative learning model has a positive impact on improving the learning outcomes of students in Class III SD Negeri 94/X Lagan Ulu for the 2022/2023 academic year in Indonesian content through the act of giving rewards