Reviewerly/exHarmony huggingface dataset:
PENGEMBANGAN LEMBAR KERJA PESERTA DIDIK (LKPD) BERBASIS PROYEK TERHADAP KEMAMPUAN MERANCANG PRODUK DIFUSI OSMOSIS

This study aims to develop a project-based Student Worksheet (LKPD) on the ability to design osmosis diffusion products for vocational students in Tourism Expertise. This research includes the development of LKPD which is divided into three phases, namely a preliminary study phase, a product design development phase, and a product testing phase. The results showed that the LKPD that had been developed was feasible used well in learning and fulfilled the validation test by experts for the feasibility of the material (content), presentation (construction) and language with good categories. Student responses after using LKPD are very good for supporting and completing LKPD while learning. LKPD tested in Applied Science lessons was able to improve student scores from initial test results with an average score of 66.5 and final test results with an average score of 75.4.
Bug Bounty Programs – A Mapping Study

This paper describes a mapping study designed to investigate the available research on bug bounty programs (BBP). Based on the 72 identified papers we conclude that the research has been focused on the organisation of bug bounties from the product owner perspective, rather than on bug hunters and the market for bugs. To understand BBPs better, in addition to the open datasets available today, datasets from more diverse types of companies (e.g. safety critical systems) should be added, and more in-depth qualitative studies conducted.
Using Temporal Feature Aggregation and Gradient Boosting Tree on Missing Data Imputation

The goal of the 7th IEEE ICHI Challenge is to find the most appropriate method to impute missing data in the longitudinal ICU laboratory test data derived from MIMIC-III [1]. Missing data/measurements is the most common problem in clinical data, because clinical data series contains many streams of measurements that are sampled at multiple and irregular time, which would generate missing data at different rates. However, these missing measurements is often critical for accurate diagnosis, prognosis, treatment, and accurate modeling and statistical analyses as well. In this challenge, during missing value imputation process, we trained 13 models independently for each feature. For every model, we extracted 200 features including the measurements, statistics, time intervals and other time information as the features of the predict model to capture the missing data. The missing target values are interpolated by using both the temporal relationships within each stream and the relationships across streams. However, the replacements for missing values are different and are determined by the model performance of distinct imputation strategies. This current study utilized two imputation methods: replacing the missing value with the adjacent measurement, and using the tree model that can automatically identify the missing patterns to impute the missing data when needed.
Intercultural relations between identity and otherness: a socio-semiotic analysis

From a socio-semiotic perspective, translation – understood in its inter-lingual and inter-semiotic dimension – represents a fundamental theoretical/methodological instrument for the study of intercultural relations. Dialectics between identity and otherness is, first of all, dialectics between different signs. On the one hand, s igns make difference : indeed, every culture, by means of its (verbal and non-verbal) signs, distinguishes itself from the others, and affirms its identity. Social and cultural distinctions are distinctions made of and by signs; in this case – paradoxically –, difference means identity . But if we consider as a fact that different cultures produce different signs, and if we consider every sign as interpretable, then we also have to admit that intercultural translation is possible. From such a perspective, difference makes signs , and translation constitutes the semiotic process through which new sign systems could arise from the dialogical encounter between differences . Rather than closing in a community identity , opening to otherness represents the new intercultural challenge for Contemporaneity.
The Web-Based Outpatient Information System at Community Health Center

Community Health Center is one of the agencies engaged in public health services. As technology advances in the health sector, an application is needed to accelerate and facilitate the Community Health Center in delivering information about Community Health Center and can be accessed by the public without limited space and time. Therefore this final project aims to provide information by improving the quality of Community Health Center by facilitating websites so that they can support the development of Community Health Center services. With the establishment of a Web-Based Outpatient Patient Information System at Talangpadang Community Health Center, it is hoped that it can facilitate the community to get the information needed, related to the Talangpadang Community Health Center. This application is Web-based, using the Web programming language, PHP, MySQL.
Evaluation of a Cloud Management System for Live Migrations

IT infrastructures have been widely deployed in datacentres by cloud service providers for Infrastructure as a Service (IaaS) with Virtual Machines (VMs).With the rapid development of cloud-based tools and techniques, IaaS is changing the current cloud infrastructure to meet the customer demand.In this paper, an efficient management model is presented and evaluated using our unique Trans-Atlantic high-speed optical fibre network connecting three datacentres located in Coleraine (Northern Ireland), Dublin (Ireland) and Halifax (Canada).Our work highlights the design and implementation of a management system that can dynamically create VMs upon request, process live migration and other services over the high-speed inter-networking Datacentres (DCs).The goal is to provide an efficient and intelligent on-demand management system for virtualization that can make decisions about the migration of VMs and get better utilisation of the network.
Eksperimen Strategi Pembelajaran Think Pair Share (TPS) Berbasis Peta Konsep Ditinjau Dari Komunikasi Matematika Siswa Kelas VIII SMP Negeri 1 Wonosari

This study aims to analyze: (1) to determine the effect of TPS learning strategies based on concept maps and conventional learning strategies on mathematics learning outcomes, (2) to determine the effect of students' mathematical communication levels on mathematics learning outcomes, (3) to determine interactions between TPS learning strategies based on concept maps and conventional learning strategies as well as mathematical communication on mathematics learning outcomes. This research is quantitative type with a quasi experimental research design. The population in this study were all eighth grade students of SMP Negeri 1 Wonosari 2019/2020. The sampling technique in this study uses cluster random sampling. The data collection method uses documentation and tests. Data analysis techniques used two ways analysis of variance with unequal cells. The results of the analysis with a significance level of 0.05 indicate that: (1) there is a difference in the influence of the TPS based learning concept map concept outcomes with FA= 5.392894462 (2) there is an influence of the level of mathematical communication of students towards learning outcomes in mathematics with FB = 3.469959896 (3) there in no communication of students to the learning outcomes of the mathematics with FAB=2.057998679.
Weighted k-nearest neighbors feature selection for high-dimensional multi-class data

Feature selection is considered as one of the important steps in processing of high-dimensional data. Identification of significant genes in micro-array sequences, and dimensionality reduction in multimedia data are the example areas where the feature selection is beneficial. In this paper, we present set of methods based on distance and attribute weighted k-nearest neighbors algorithm. The new methods are obtained by deployment of additional distance measures and loss functions. Moreover, we present some extensions of original weighted k-nearest neighbors feature selection method such as multi-class classification, regularization, and computationally effective TensorFlow implementation.
Development and validation of a pragmatic natural language processing approach to identifying falls in older adults in the emergency department

Falls among older adults are both a common reason for presentation to the emergency department, and a major source of morbidity and mortality. It is critical to identify fall patients quickly and reliably during, and immediately after, emergency department encounters in order to deliver appropriate care and referrals. Unfortunately, falls are difficult to identify without manual chart review, a time intensive process infeasible for many applications including surveillance and quality reporting. Here we describe a pragmatic NLP approach to automating fall identification. In this single center retrospective review, 500 emergency department provider notes from older adult patients (age 65 and older) were randomly selected for analysis. A simple, rules-based NLP algorithm for fall identification was developed and evaluated on a development set of 1084 notes, then compared with identification by consensus of trained abstractors blinded to NLP results. The NLP pipeline demonstrated a recall (sensitivity) of 95.8%, specificity of 97.4%, precision of 92.0%, and F1 score of 0.939 for identifying fall events within emergency physician visit notes, as compared to gold standard manual abstraction by human coders. Our pragmatic NLP algorithm was able to identify falls in ED notes with excellent precision and recall, comparable to that of more labor-intensive manual abstraction. This finding offers promise not just for improving research methods, but as a potential for identifying patients for targeted interventions, quality measure development and epidemiologic surveillance.
Theoretical Underpinnings

This chapter discusses familiarity from a social psychological lens. The chapter provides a basis in theory for beginning to understand the concept of familiarity, how it may be studied, and factors that impact familiarity outside of an eyewitness-specific context. For example, it takes a social psychological perspective on how familiarity is developed through interactions, proximity, similarity, and inclusive pronouns. In addition, the chapter discusses how familiarity can play a role in both the development and maintenance of stereotypes. It discusses specific stereotypes, such as gender stereotypes/bias, stereotypical behaviors, and stereotypes in general. Last, the chapter applies these social psychological perspectives on familiarity when it is applied to the legal system. It discusses the cross-race effect, in-groups and out-groups, and Stockholm syndrome.
Social Tendency Prediction on Twitter: Literature Survey

Today, social media has become an inseparable part of our lives. Billions of people create accounts and contact with other users and make sharing in social media sites. One of the most popular social media sites is Twitter. By analyzing the data shared by people in social networks like Twitter, it becomes possible to extract information on various topics. Numerous academic studies have been published in this framework. In this study, a literature survey on social tendency researches on Twitter was done in recent years. The methods that are generally used in the studies are summarized and sample studies are presented under the intensively studied topics.
he Use Blindfold Game in Teaching Writing Skill on Descriptive Text. (The Experimental Research at First Year of MTs Al-Khairiyah Sukanegara Pontang Academic Year 2019-2020)

ELIYAWATI. 152301781. 2019. The Use Blindfold Game in Teaching Writing Skill on Descriptive Text. (The Experimental Research at First Year of MTs Al-Khairiyah Sukanegara Pontang Academic Year 2019-2020)This research investigates the use of blindfold game in teaching writing skill. This research was to find out whether teaching writing by blindfold game is effective or not, especially in teaching writing descriptive text. This research was quantitative research. The design of this research was pre-experimental designs (non-design), exactly one-group pre-test post-test design. the instrument used in this research tests (pre-test and post-test), interview, and observation. This research involves 45 students of first year of MTs Al-Khairiyah Sukanegara Pontang as sample, and all students of MTs Al-Khairiyah Sukanegara Pontang totally 146 as population. The research finding of the last result showed that tcount > ttable (2,01 2,69), it means that the null hypothesis (H0) is rejected and the alternative hypothesis (Ha) is accepted. In addition, the result of the research showed that the use blindfold game in teaching writing skill on descriptive text is effective. It could be seen from post-test data by proving the students’ score got better than in the pre-test. Key words: blindfold game, writing skill and descriptive text.
Estudio para la validación de dos instrumentos para la evaluación de sitios web de aprendizaje de lenguas extranjeras

Language learning, as we know it today, has experienced a Copernican turn that -among other reasons -finds its roots in an unprecedented technological revolution, the creation of real communicative contexts, students' motivation and need to learn new languages, and the ubiquity of learning.These factors make the combination of linguistic and digital competences a key construct of the learning process, which enables learners to access new access tools, platforms and online environments.The research project entitled "LinguApp: Asegurando el acceso al aprendizaje universal e inclusivo de segundas lenguas", funded by Fundación Pública Andaluza Centro de Estudios Andaluces (Andalusian Regional Government), planned the development and validation of two instruments devoted to the assessment of websites for language learning.The first instrument evaluates the technical characteristics of the websites.The second instrument assesses more specifically which language skills are developed and how this process takes place by focusing on the contents and activities that the given website offers.This paper presents the statistical results of the design and validation process, and concludes that this type of tools can decisively contribute to the development of research in this area, where technology has substantially modified the process of learning and teaching second languages.
The Big Picture: Multi-Cloud and Hybrid Cloud

In this chapter, we will discuss and walk through a scenario at a broader level wherein an organization adopts a multi-cloud environment, integrates on-premises systems with the cloud, and deploys services leveraging Infrastructure-as-a-Service, Platform-as-a-Service, or Software-as-a-Service. This is a big picture scenario, and at some point, or another, any enterprise reaches this state to a greater extent. Monitoring at this stage may get very complicated and overwhelming, owing to the various tools, methods, and maturity level of the knowledge available. Figure 3-1 represents the scenario.
Automatic Vulnerability Detection Algorithm for the SQL-Injection

Attacks to web applications are a relatively new type of attack. If the web application does not filter incoming parameters properly, then attackers can get the opportunity to falsify the database using the form on the web page or by changing other incoming data. Mathematical modeling and identification of information objects play an important role in solving problems of pattern recognition. One of these tasks is to detect attacks or normal requests for web applications. Studies on the detection of attacks or normal requests for web applications began relatively recently. Nevertheless, there is a lot of research in this direction. Attack of the SQL-injection is a common way of hacking web applications that have a database. Our paper proposes a mathematical method for identifying SQL-injection attacks using a function bounded below that depends on the input string. To build such function, we used special characters and key words that are often found in the construction of attacks by intruders. In our proposed method, we can detect SQL-injection attacks using a single character. Nevertheless, we experimentally have shown that the proposed detection method using a set of numerous symbols allows us to determine the vulnerability of the SQL-injection type more accurately. In the proposed method, we created a character set that combines both attack and normal detections, and the previously known threshold, using the approximate data of the attackers and normal strings. According to experiments with artificial data, the set contains a space, semicolon and right bracket that are most suitable for detecting an attack or normal request.
Digitalization as a Process of Assistance in the Transparency of University Teaching

This is a project with objectives to study and to apply the surface of the hardware and software part of the panel with LED diode lamps.Much more is focused on the programming of LED matrix diodes located on 16×96 electronic panels, respectively 16 rows of 96 columns.Also, there is elaborated the study of the mode of operation, composition, coding and use of software for panel diodes.In the focus of all this is the introduction of diode panels in use at "Kadri Zeka" University exactly at the Faculty of Computer Science to provide digital information to students, professors or anyone passing through the premises of the university what is happening inside the classrooms of the Faculty of Computer Science.This happens in real time in accordance with the schedule of lectures and exercises in the respective classrooms of the FCS.In fact, this project explains in detail the concept of LED diodes and microcontrollers, their features, operation, power supply and work with 0 [VDC] and 5 [VDC] voltages, respectively 0 and 1 logic bits.Meanwhile, the project also explains how coding, software building that locks, and unlocks LED diodes on a 96×16 LED diode panel, thereby producing text on the panel (display, screen) in static, mobile, animation or up-down, left and right movements according to the time allocated to the timers of the microcontrollers.Such action achieves the goal of the digitalization project of the classrooms of the Faculty of Computer Science.
Parsing ellipsis efficiently

This chapter shows how a transformational account of ellipsis allows for a sound and complete parsing algorithm which allows for the efficient processing of discourses containing elliptical sentences. In the context of this implementation, two approaches to ellipsis in the transformational community are naturally seen as equivalent descriptions at different levels: the LF-copying approach to ellipsis resolution is best seen as a description of the parser, whereas the phonological deletion approach is a description of the underlying relation between form and meaning. The parsing algorithm result described in this chapter relies not just on formal properties of the grammar formalism (<italic>formal universals</italic>) but also, crucially, on linguistic assumptions (<italic>substantive universals</italic>).
How technology converses with local languages

The relationship between technology and language use is situated in social and historical factors. Considering the meaning of language use in technology design is essential for supporting diverse language preferences.
OAGSX Title Generation Dataset

OAGS is a title generation dataset consisting of 34993700 abstracts and titles from scientific articles. Texts were lowercased and tokenized with Stanford CoreNLP tokenizer. No other preprocessing steps were applied in this release version. Dataset records (samples) are stored as JSON lines in each text file. The data is derived from OAG data collection (https://aminer.org/open-academic-graph) which was released under ODC-BY licence. This data (OAGS Title Generation Dataset) is released under CC-BY licence (https://creativecommons.org/licenses/by/4.0/). If using it, please cite the following paper: Cano, Erion and Bojar, Ondřej, 2019, Efficiency Metrics for Data-Driven Models: A Text Summarization Case Study, INLG 2019, The 12th International Conference on Natural Language Generation, November 2019, Tokyo, Japan. To reproduce the experiments in the above paper, you can use oags_train1.txt, oags_train2.txt, oags_train3.txt, oags_test.txt and oags_val.txt files. If you need more data samples you can get them from oags_train_backup.txt and oags_val-test_backup.txt.
Noise Power Spectrum Scene-Dependency in Simulated Image Capture Systems

The Noise Power Spectrum (NPS) is a standard measure for image capture system noise. It is derived traditionally from captured uniform luminance patches that are unrepresentative of pictorial scene signals. Many contemporary capture systems apply nonlinear content-aware signal processing, which renders their noise scene-dependent. For scene-dependent systems, measuring the NPS with respect to uniform patch signals fails to characterize with accuracy: i) system noise concerning a given input scene, ii) the average system noise power in real-world applications. The sceneand- process-dependent NPS (SPD-NPS) framework addresses these limitations by measuring temporally varying system noise with respect to any given input signal. In this paper, we examine the scene-dependency of simulated camera pipelines in-depth by deriving SPD-NPSs from fifty test scenes. The pipelines apply either linear or non-linear denoising and sharpening, tuned to optimize output image quality at various opacity levels and exposures. Further, we present the integrated area under the mean of SPD-NPS curves over a representative scene set as an objective system noise metric, and their relative standard deviation area (RSDA) as a metric for system noise scene-dependency. We close by discussing how these metrics can also be computed using scene-and-processdependent Modulation Transfer Functions (SPD-MTF).
Mission Theology of William Carey: Focused on William Carey’s “An Inquiry”(1792) and “Serampore Covenant”(1805)

Carey sparked the 19th-century global missionary movement. This study analyzes his mission ideas through focusing on An Inquiry and the Serampore Covenant. In An Inquiry, he called for the necessity of mission by using information and statistics. He proposed to treat the locals as equals with souls on par with Europeans. There were many unbelievers in England, but he convincingly argued why Christians should go abroad for mission. He overcame hyper-Calvinist thinking and restored the Great Commission. In the Serampore Covenant, he stated that missionaries should study the religions and concepts of salvation of the local people. He suggested not to abuse the sacred animals or criticize Hinduism and stressed Bible translation and the role of local Christians in Indian evangelization.
An Open Online Dictionary for Endangered Uralic Languages

We describe a MediaWiki-based online dictionary for endangered Uralic languages. The system makes it possible to synchronize edits done in XML-based dictionaries and edits done in the MediaWiki system. This makes it possible to integrate the system with the existing open-source Giellatekno infrastructure that provides and utilizes XML formatted dictionaries for use in a variety of NLP tasks. As our system provides an online dictionary, the XML-based dictionaries become available for a wider audience and the dictionary editing process can be crowdsourced for community engagement with a full integration to the existing XML dictionaries. We present how new automatically produced data is encoded and incorporated into our system in addition to our preliminary experiences with crowdsourcing.