Reviewerly/exHarmony huggingface dataset:
SISTEM PENDUKUNG KEPUTUSAN UNTUK DETEKSI DINI RISIKO PENYAKIT STROKE MENGGUNAKAN LEARNING VECTOR QUANTIZATION

Stroke is any sudden neurologic disorder that occurs as a result of restriction or cessation of blood flow through brain arteries supply system. Stroke is the leading cause of death in Indonesia. Services pre-stroke is early detection activities, discovery and monitoring of risk factors for stroke in healthy individuals and at-risk communities that can be performed by physicians, nurses and health workers. Based on the results of the study said that when control stroke risk factors to do with the approach would reduce the number of defects by 60-90%. Works doctor for diagnosis process is not easy because of the many risk factors vary and affect each other, for example Low Density Lipoprotein cholesterol can lead to heart disease can also affect blood pressure, gender can affect the value of uric acid, uric acid can also influence blood pressure and sugar levels can affect blood pressure. Classification method is one solution that is deemed able to handle the process of classifying the status of early detection of the risk of stroke. Mechanical classification using Learning Vector Quantization (LVQ) has excess generating an error value is smaller than other artificial neural networks. Based on the results of research and discussion conducted, algorithms LVQ can recognize patterns and are able to predict the status of early risk of stroke using a variable blood pressure, blood sugar, total cholesterol, Low Density Lipoprotein, age, gender, gout, Blood Urea Nitrogen and creatinine with a total value of up to 82% accuracy.
출력 능력 향상을 위한 정형화 배열 학습 모형 개발에 관한 연구

This study aims to suggest a model that uses formulaic sequences to improve output ability. Formulaic sequences are “a sequence, continuous or discontinuous, of words or other elements, which is, or appears to be, prefabricated: that is, stored and retrieved whole from memory at the time of use, rather than being subject to generation or analysis by the language grammar” (Wray, 2002, p. 9). An experiment was conducted to investigate an effective process for learning formulaic sequences. The experiment consisted of three groups of college students. The groups were: elaboration group, pre-output group, input group. The elaboration group focused on elaborating the formulaic sequences in which the students had double-translated the formulaic sequences. Double-translating is a two-fold translation of texts. The pre-output group was asked to create output in English from given formulaic sequences in Korean. The input group completed a reading activity, which is a traditional learning process. Two tests of retention on formulaic sequences were conducted, with the elaboration group outperforming the other groups in the second test. This result indicates that the elaborating the formulaic sequences is beneficial in improving output ability.
Active learning of strict partial orders: A case study on concept prerequisite relations

Strict partial order is a mathematical structure commonly seen in relational data. One obstacle to extracting such type of relations at scale is the lack of large-scale labels for building effective data-driven solutions. We develop an active learning framework for mining such relations subject to a strict order. Our approach incorporates relational reasoning not only in finding new unlabeled pairs whose labels can be deduced from an existing label set, but also in devising new query strategies that consider the relational structure of labels. Our experiments on concept prerequisite relations show our proposed framework can substantially improve the classification performance with the same query budget compared to other baseline approaches.
Political Activities of Christians after Liberation : Focusing on Political Organizations

The purpose of this paper is to study political activities of Korean Christians after liberation. After liberation, Christians concentrated on two things. One was to restore the deteriorated faith and the destroyed churches. The other was to participate in politics to build a new country. For the latter, they concentrated their efforts on organizing political parties or building organizations. This paper focuses on the latter. Christians who participated in politics were divided into two categories. One was to organize parties or organizations based on Christian spirit. The other was to participate in parties or organizations organized by the general public. In the former case, there were GYLRRKI, SDP, CNPA, CCCI, FC and CDA. In the latter case, there were HDP, NP, WARRKI, GYLRRKI, CCI and NSRRKI. Christians who were rightists opposed communism and trusteeship through political organizations, and actively participated in legislative activities to establish a new independent nation. Despite the opposition of the Soviet Union and North Korea, there was NCA election for the sole government on May 10, 1948 under UN surveillance. As a result, many Christians were elected at NCA. They in NCA promulgated the Constitution on July 17, 1948 and launched the Republic of Korea on August 15. In summary, it is the core of this article that Christians have had a lot of influence in the process of establishing the Korean government since liberation.
A cosa servono i racconti?

The following pages introduce a discussion about a recent collection of Italian short stories: Racconti italiani scelti e introdotti da Jhumpa Lahiri.
Development of Instruments for Assessing Linguistic Intelligence in Elementary School

Linguistic intelligence is one of eight multiple intelligences that currently attracts attention in the world of education. Linguistic intelligence is a person's ability to speak both verbally and in writing, besides that people who have linguistic intelligence also master the components of linguistic intelligence which consists of phonology, syntax, semantics and pragmatics. The type of research used is research and development (R &amp; D) with a 4D model. The subjects in this study were experts as validators, fifth grade students for trials and homeroom teachers in elementary schools. Data collection is done by giving a questionnaire to the validator. In this study the researchers concluded that the product of the developed linguistic intelligence assessment instrument was declared feasible to be used based on the results of validation of 86% with very feasible categories. The obstacle in developing the product of this instrument of linguistic intelligence assessment is the lack of knowledge of the school about the importance of linguistic intelligence for students in elementary schools.
The Role of Memory and Cognition (vs. Activity and Behavior) in Social Networks

Social network research is increasingly recognizing that what happens in the minds of network actors their memories and cognitions can matter as much, if not more so, than more visible activities or behaviors. The purpose of this symposium is to highlight new research studies and perspectives that go beyond the traditional view of networks in action, which have focused on interactions among network actors and the structure of these interactions. Instead, we aim to examine how actors think about their ties and the surrounding networks especially over time and the impact of these memories and cognitions on network outcomes. Why Do High-Status People Have Bigger Networks? Status-Quality Coupling Drives Networking and Size Presenter: Jiyin Cao; Stony Brook U.-State U. of New York Presenter: Edward Bishop Smith; Northwestern Kellogg School of Management Hiding Knowledge Sharing Relationships from Rivals Presenter: You-Ta Chuang; York U. Presenter: Fu-Sheng Tsai; Cheng Shiu U. Presenter: Wenpin Tsai; Pennsylvania State U. Presenter: Martin J. Kilduff; UCL School of Management Toward a Theory of Gestalt vs. Elemental Network Perception Presenter: Tiziana Casciaro; U. of Toronto Dormant Ties: A Review and Agenda for Research Presenter: Jason Rekus Ross; U. of Kentucky Presenter: Ajay Mehra; U. of Kentucky Presenter: Daniel Z. Levin; Rutgers U. Presenter: Jorge Walter; George Washington U. Is Tie Maintenance Really Necessary? Presenter: Daniel Z. Levin; Rutgers U. Presenter: Jorge Walter; George Washington U.
Stifling free speech a bad idea – South Asia Citizens Web

You do not have to like or agree with Geelani or Arundhati Roy to defend their right to speech. They are threatened with criminal proceedings for sedition (section 124 A of the Indian Penal…
PENDIDIKAN BERBASIS TEKNOLOGI

ICT-based education development needs to be serious thought of various parties, and needs a structured strategy with certainly focused stages towards quality improvement efforts of education that are equally global so that our education is not more deteriorated between progress of education in a world that is based on information and communication technology there must be a tiered scenario in the application of a mouse based education model that is based on the ability of schools to absorb and implement information and communication technology. government regulations that encourage school climate, teachers, employees, students to be able to change the absolute conventional learning paradigm relying on teachers, becoming modern learning that puts teachers as learning facilitators and motivators, and progress of information and communication technology as learning tools. gradually school what is involved in ICT-based education should increase in the utilization of ICT for learning, need strong teacher commitments, strong schools, which can be seen from infrastructure support, learning content support, support to accelerate mastery of teachers among teachers, and staff administrator support from schools. supporting infrastructure needs to be formed such as the division of the center for ICT-based education, both at the provincial, district level, and administrators in schools, to organize the application of the ICT-based education system.
Simple Autonomous Flight Control of a UAV Flying Above a UGV Using Onboard Camera Vision

An autonomous flight control method of UAV(: Unmanned Aerial Vehicle) which flying just above the UGV(: Unmanned Ground Vehicle) using only the information of the onboard camera of UAV is proposed in this paper. In the conventional research, motion capture system, GPS, and laser range finder are often used to measure the position and posture of UAV. Although the conventional measurement system is effective in certain conditions and limited environments, it is not always applicable outdoors. There have also been researched about the cooperation of UAV and UVG, but much previous research, its effectiveness was shown in by numerical simulation or experiments using many sensors. By using our proposed system, it is possible to select a feature point on the UGV placed on the ground by using only a UAV onboard camera, and to fly the UAV just above the UGV. Besides, if the UGV moves along a trajectory, UAV can fly above the UGV. In our experiment, we use ROS for an image processing and calculation of control inputs. To operate the UAV automatically, we apply a simple PID control method and its gains are individually adjusted. The effectiveness of our proposed method is shown by experiment.
3R: Reading - Ranking - Recognizing for Multi- Passage Reading Comprehension

multi-passage reading comprehension aims to answer questions about a set of passages. The current models include selecting the most related passage for reading using reinforcement learning or using all passages for reading and then re-ranking answer candidates. But these models can’t deal with some noise passages properly. Besides, the answer ranking methods cannot take all valuable information into consideration. So, we propose to select all informative passages, then reading these passages to extract answer candidates, finally re-ranking these answer candidates so that the top ranked answer candidate is the best answer. In the answer re-ranker module, we consider both answer-to-answer verify and question-to-answer verify. Also, we add a no answer recognition section to detect no answer cases.
Implementation of QoE Model Based on Pixel Density

Dynamic Adaptive Streaming over HTTP popular known as DASH is a standard developed by ISO/IEC MPEG. DASH implements the convenient and smooth transmission of video streams over heterogeneous end user devices over the IP network with limited bandwidth. Device screen size, design layout and resolution are some of the device context parameters which impact video quality on mobile devices. This paper presents the implementation and the application of the new proposed model over DASH by using an open source libdash library. The implementation has shown that the proposed model performs better than the default Libdash quality adaptation in terms of average stalling numbers and average stalling time.
ELIXIR: Data for Life – Coordinating life science data and services across Europe 

ELIXIR unites Europe’s leading life science organisations in managing and safeguarding the increasing volume of data being generated by publicly funded research. It coordinates, integrates and sustains bioinformatics resources across its 22 member states, plus EMBL-EBI (European Molecular Biology Laboratory - European Bioinformatics Institute), and enables end users to access services and data that are vital for their research. ELIXIR's remit spans the full breadth of life science data, including data related to human health, food production (agriculture, farming, aquaculture) and the environment (e.g. pollution remediation, ecology), all of clear socio-economic benefit. As a result, ELIXIR contributes to the delivery of several sustainable development goals. This poster will introduce ELIXIR and describe the contribution it can make to coordinating data and services relevant to biodiversity. The poster will set the context for how molecularly-derived biodiversity occurrence data can significantly enhance resources such as the Global Biodiversity Information Facility (GBIF) and the Ocean Biogeographic Information System (OBIS), e.g. by filling in acute gaps in our knowledge of species across realms.
MATLAB® as a Programming Language

While MATLAB® can be used as an elaborate calculator and plotting program, to get the most of MATLAB, you will need to be able to do some basic programming. There are five key programming concepts which will enable you to write efficient scripts which automate repetitive tasks: relational operators, logical operators, conditional statements, for loops and while loops. This chapter is aimed at readers who have little or no previous programming experience. If you have no experience of coding, these concepts may initially appear a little daunting. However, just like learning a new language, the more you practice and try to incorporate the methods into your own work, the quicker you will learn until you reach a point where it becomes part of your natural language.
Nuove frontiere per la metodologia di ricerca sull’esecuzione musicale: il connubio tra arte e scienza

Music performance analysis is today a shared territory of research for musicians-researchers and scientists. On the one hand, artist-researchers are discussing on the possibilities to apply empirical methods in order to give objective validity to the artistic investigation on music performance. On the other, scientists recognize the need to integrate the artistic perspective in the analysis and interpretation of the quantitative data, related to musical performance (such as the tracking gesture and the audio detections). To define the path that determines the transformation of music performance practice into a research on music performance, this article highlights the problems related to the choice of methods and proposes the interdisciplinary approach (performerassistive method) developed at the IPEM, the Department of Systematic Musicology of the University of Ghent. The aim is to integrate the subjective/phenomenological approach and the objective/empirical approach to facilitate the documentation and the analysis of the performers’ movements and the sound produced on the instruments. The advantages of this interdisciplinary method, which encourages a dialogue between art and science and the implementation of technology, are presented and discussed. The aim is to open new perspectives for the enrichment and the innovation of both the artistic and scientific research on music performance.
A Study of the perception on Blockchain Service in Shipping Logistics Industries

In the 4th industrial era, blockchain, a critical technology behind mind blowing virtual currency is being actively popularized in finance industry. Recently, Denmark’s Maersk Line, world’s largest shipping company and IBM has partnered up to introduce blockchain technology in shipping industry, gathering people’s attention. Domestically, private and public joint shipping logistic blockchain consortium was established and pilot project to apply blockchain technology was proceeded and is around the corner to be put into practical use with few test stages. This study analyzed intention for block chain service in shipping logistic market through survey. For the analysis, SPSS and AMOS were used. In order to prove each hypothesis, structural equation model were used. In the intention of blockchain use, perceived value, organizational innovation, social influence were proven to bring positive effect while perceived risk had vise-versa effect.
Designing a new food informatics system: A different angle to record and understand food behaviour

Food, not only exist as a source of energy and nutrition to human beings, but also gives emotional comfort and carries cultural values in people’s daily life. Thus, the consumption of food is no longer related to fulfilling the need of hunger, but also as a way to deal with human emotions, facilitate social bondings, celebrate cultural events and etc. Improper way of consuming food can result in negative consequences in people’s health condition, such as getting overweight and obese, as well as many other types of diseases. To help people manage their own eating behavior, food-tracking tools were designed to keep a record of people’s food intake, as a reference to access their eating and for themselves to make changes accordingly. How do we design a food tracking tool that can support people to collect meaningful data around their eating behavior and reflect on them in an engaging way? From the literature research and user research great insights were drawn on the current experience of using food-tracking tools. Based on that, through iterative developing, an mobile application design was detailed and evaluated. The project aims to provide a new perspective on how people can manage their eating behavior by self-tracking food they eat and the related influencing factors. The idea behind it is to empower them in discovering how the implicit reasons are repeatedly affecting the way they eat, environmentally and psychologically, rather than to regulate people to follow specific diet rules.
A Model-Driven Framework for the Modeling and the Description of Data-as-a-Service to Assist Service Selection and Composition

Data as a Service (DaaS) is seen as a promising cloud offering for wrangling the overload of information and making it available across cloud platforms anytime and anywhere. While there exist a large number of DaaS providers in the market, each one has a different way to describe its provided services as well as supplied datasets. The lack of a well-defined machine-readable model strongly hinders the automatic selection and composition of DaaSs. This paper presents MoDaaS, a model-driven framework for the modeling and the description of DaaS services. MoDaaS enables DaaS providers to describe their services capabilities and concerns according to a shared ontology, thereafter it enables them to automatically generate service views in order to assist the integration and data exchange between heterogeneous services.
Representação de um microtesauro em SKOS: um estudo metodológico

With the exponential increase in the amount of resources available in digital environments, the instruments and methods of representation and organization of information are of significant importance to ensure the recovery of information resources across cultural and geographical borders of access to information. Among the new tools of representation, the Simple Knowledge Organization System (SKOS) stands out as a data model that aims to represent the basic structure and content of traditional knowledge organization systems in computational environments. The present work is linked to an ongoing research project, funded by CNPq and FAPESP and aims to evaluate the use of the SKOS for the representation of a microtesauro based on the category 'Information and Strategic Knowledge in Organizations' of the Brazilian Thesaurus of Information Science. It is a theoretical and methodological research that proposes to approach the themes of representation, organization and availability of vocabularies in digital environments. It is also characterized as a research of an applied and exploratory nature, since it aims to generate knowledge for practical application. From this study, the potentialities and challenges of the representation of SKOS controlled vocabularies were identified, highlighting the need for further study in order to map out guidelines for the establishment of the different types of predicted relations in SKOS.
Improved multi‐target tracking algorithm based on SMC‐CBMeMBer for the airborne Doppler radar

To effectively suppress clutter in airborne Doppler radar and improve multi-target tracking (MTT) performance, this study proposes an improved MTT algorithm based on Sequential Monte Carlo Cardinality Balanced Multi-target Multi-Bernoulli (SMC-CBMeMBer) filter. Firstly, the filter introduces Doppler information in the measurement process. Then, the more accurate likelihood function and state estimation are deduced again in the filtering update stage. Finally, the influence of particles number on the algorithm is analysed. Through the simulation experiment, when the number of particles is selected properly, the algorithm can more effectively suppress the clutter and improve the target tracking performance.
Stylistic Control for Neural Natural Language Generation

With the rise of conversational assistants, it has become more critical for dialog systems to keep users engaged by responding in a natural, interesting, and often personalized way, even in a task-oriented setting. Recent work has thus focused on stylistic control for natural language generation (NLG) systems in order to jointly control response semantics and style. In this talk, I will describe our work on automatic data curation and modeling approaches to facilitate style control for both personality-specific attributes of style (based on Big-Five personality traits), and other style attributes that are helpful for personalization, e.g., response length, descriptiveness, point-of-view, and sentiment. I will present work that incorporates these attributes into the training and generation pipelines for different NLG architectures, and will show how our data curation and modeling approaches are generalizable to new domains and style choices. Finally, I will describe how we use a combination of automatic and human evaluation methods to measure how well models successfully hit multiple style targets without sacrificing semantics.
Priority Order of Single Gaze Gestures in Eye Control System

The eye-control system uses eye movements to achieve human-computer dialogue. This paper designs an ergonomic experiment to solve the problems of high complexity and low interaction efficiency of Complex Gaze Gesture (CGG) in the eye-control system. The experiment concludes the order of eye Single Gaze Gesture (SGG) priority by exploring the ergonomic differences between the eye movements. According to the conclusion of the priority order of SGG, it provides a scientific theoretical basis for the design of CGG.