Reviewerly/exHarmony huggingface dataset:
Technology Assisted Risk Assessment in Homecare

The home is a key environment for geriatric care. Research has demonstrated patients discharged to their homes are at a high risk of readmission of transitioning to homecare. The ability for care providers to predict and mitigate risk is limited in this environment. Significant observational requirements hinder continued diagnosis which limits timely interventions before a readmission event. Technology is used to resolve this issue and provide enhanced risk assessments by gathering data, however these technologies present a wide variety of challenges including barriers to use and ethical considerations which hinder an effective solution. This paper seeks to examine the necessary observations homecare providers require to form effective risk assessments and interventions in the home. This isachieved by remote monitoring through Bluetooth low energy (BLE) sensors for the common causes of hospital readmissions including observed difficulties in activities of daily living (ADL), heart rate fluctuations and falls. Risk is assessed by examining these factors as events to deduce behaviour or apparent reduction in capacity to function in daily life. Results obtained when using BLE sensors, heart rate monitors and fall detectors show it is possible to observe and record events of interest to health care providers in the provision of geriatric homecare. Patterns within sensor data could be used in the home environment to form an effective patient risk analysis givenremote monitoring access to a patient and prescribed care plan to evaluate outcomes and possibility of readmission. Further experiments will test and validate the risk assessment analysis formed in this paper.
Superpixel Based Segmentation of Historical Document Images Using a Multiscale Texture Analysis

In this paper, a superpixel based segmentation of Historical Document Images (HDIs) using multiscale texture analysis is proposed. A Simple Linear Iterative Clustering (SLIC) superpixel technique and Kmeans classifier are applied in order to separate the input image into background and foreground superpixels. The foreground superpixels are characterized by the standard deviation and the mean of the Gabor features. These features are extracted in a multiscale fashion to adapt to the variability of the textures that may be present in HDIs. Text/graphic separation is then performed by applying a classification of the foreground superpixels for each texture analysis scale followed by a merging step of the obtained classification results. Since the classification results depend on the used classifier, a comparative study is performed for supervised (Support Vector Machine (SVM), K-Nearest Neighbors (KNN)) and unsupervised (Kmeans, Fuzzy C-Means (FCM)) techniques. Experiments show the effectiveness of our proposed method especially when compared with similar work in the literature.
ANALISIS KEMAMPUAN KOGNITIF DAN SIKAP SISWA PADA MATERI SISTEM SARAF DI KELAS XI SMA NEGERI 2 PERCUT SEI TUAN

The purpose of this study was to determine the cognitive abilities and attitudes of students in the nervous system material in class XI of SMA Negeri 2 Percut Sei Tuan Learning Year 2017/2018. The type of research used is descriptive correlational. The population in this study were students of class XI of State Senior High School 2 Percut Sei Tuan 2017/2018 Learning Year totaling 166 people. The sample in this study were 2 classes as many as 84 people in class XI Mia 3 and Mia 4 who were taken by Random sampling. Sources of data from this study are 30 multiple choice tests and 30 question attitude questionnaires. The results showed that the cognitive abilities of students about the nervous system were very good 21.42%, both 51.19%, good enough 13.09%, less good 13.09% and very less 1.09%. The results of the cognitive abilities test of students is good with an average value of 69.87, while the cognitive abilities of students based on indicators on the material of the nervous system (1) 68.45%, (2) 67.52%, (3) 74, 52% good category and (4) 64.28% good enough and the results of the attitude questionnaire showed students' ability both on the indicator received 71.31%, valued 75.49%, organized 71.32%, characteristics 68.92% and sufficient both on the indicator responded to 57.93%. The results of the analysis of testing the hypothesis in this study found that the cognitive abilities and attitudes of students in the nervous system material have a positive and moderate categorical relationship with r count&gt; r table (0.562&gt; 0.214) and t count&gt; t table (6.149&gt; 1.663).Keywords: cognitive ability, attitude, nervous system.
LibGuides: Getting Started with OER: OpenStax Institutional Partnership Progam 2017-2018

This guide is your one-stop-shop for getting started with OER. You will learn the basics, learn about Creative Commons licensing, where to find OER and how to evaluate it, and what's happening with the University of Hartford's OER Initiative.
Competências gerenciais do enfermeiro na Estratégia Saúde da Família: percepção de graduandos de enfermagem

Objective: To analyze the perception of nursing undergraduates about the managerial competencies of nurses in the Family Health Strategy. Methods: descriptive research, participant with a qualitative approach, using participant observation and interview techniques. The data were submitted to content thematic analysis. Results: Planning and organization proved to be the most important competencies for managerial practice of nurses and entrepreneurship as the least important competence. Conclusion: The limited knowledge of nursing students about managerial competences, indispensable to the qualified and autonomous practice of the nurse manager of the Family Health Strategy, revealed the need, in the formative context of this study, for interdisciplinary pedagogical actions aimed at a better student preparation to perform such functions in the daily life of the territory
Realization of the "Transport task" simulation software using the "Drag-and-drop" technology

The modern educational process is becoming increasingly innovative. The most important means of educational activity are computer technology learning. The development and introduction of them into the educational process is a qualitative characteristic of the computerization of education and lay the foundations for its further informatization. The article deals with the structure and content of the initial computer simulation software or the study of the "Transport task" topic, which is intended for the development of knowledge, skills and abilities of students of computer specialties in the process of studying the "Investigation of operations" discipline. The training simulation software provides multiple passage of the material at each separate stage until the correct solution is obtained. To organize the interactive learning process, the "Drag-and-drop" method is used, which, on the one hand, allows us to use more observatory visual diagrams of the problem solving algorithm, and on the other hand, concentrates the attention of students on the main stages of the algorithm and not on the implementation of bulky mathematical calculations. The simulator is designed as a local Windows application that does not require special computer resources and can be easily installed on a personal computer in an auditorium or at home. The simulator can function in two modes – practice and supervision. The simulator can be used during classes and in the process of independent work.&#x0D; The training simulator differs from other types of training devices by the obligatory availability of a script for verifying the actions that the student must perform in order to accomplish the task. In the process of executing actions and commands in the simulator, the verification of expected actions in the script is performed, after the result is displayed to the user. After that, in case of wrong actions, the user is given the opportunity to correct the errors. Only after correcting them, the user can go to the next stage of solving the problem. The user receives feedback and can find out about their mistakes and ability to correct them.
학문 목적 말하기 평가에서 읽기 통합형 과제 응답의 담화적 특성 -읽기 자료 사용을 중심으로-

This study aimed to qualitatively analyze the responses to the integrated tasks for the Korean Speaking Test for Academic Purposes (KoSTAP), to discover the types and the usage of reading stimulus and to examine the discourse characteristics according to the test takers’ scores. It was known that the stimulus necessary for constructing the integrated speaking tasks have a certain influence on the performance of the task. This study was conducted by conducting a discourse analysis of the task takers’ performance in integrated reading-speaking tasks collected through the KoSTAP. The use of reading stimulus was categorized into “reproduction“ and “creation“. Four subtypes of “reproduction“ and five subtypes of “creation“ were also identified.
Verso un curricolo Maker 5-8 K. Principi e applicazioni per lo sviluppo della competenza geometrica tramite 3D printing1

This paper considers educational research and pedagogical conceptualizations of maker education in the context of the current curriculum in Italian schools. In particular, it draws on the research that INDIRE promotes on teaching using 3D printers and preliminary findings from an ongoing pilot study, which aims to increase understanding of the potential associations between maker pedagogy and spatial geometric and visual skills. The pilot reported follows a model of co-design involving the teachers of the school, which has facilitated the use of more reflective measures of competence to be assessed. The pilot discussed provides valuable support for the current research on 3D printers and will be extended to other schools wishing to pursue skills and learning objectives little considered by the current national curriculum at nursery and early primary level.
New cybersecurity courses available next school year

As part of the effort to create a well-developed area of study in the field of cybersecurity, the State Board of Education earlier this month approved the creation of two new cybersecurity courses and tentatively approved revisions to a third course. These courses are proposed for inclusion in a cybersecurity pathway
한중 공공번역의 오류 분석: 외국인과 다문화가정을 위한 안내책자를 중심으로

The purpose of this study is to analyze Korean-Chinese translation errors and problems in public domain for foreigners, migrants, and multi-cultural families living in Korea, and to present standards for translation error analysis by inductive reasoning. To this end, the study collected pamphlets from the immigration office of the Ministry of Justice, identified the errors, and further divided the types of errors through three approaches: 1) source-oriented approach, 2) target-oriented approach, and 3) focus on consistency. First, three subtypes were observed through a source-oriented approach: equivalent error, missing translation, and unnecessary insertion. Next, the target-oriented approach was observed with three different linguistic levels: lexical, grammar, and style or genre. Finally, the inconsistency between the translations was mainly found in the lexical level, especially in terminology. The study presented new criteria for error analysis by inductive reasoning and revealed which error type is more common through quantitative analysis of errors. The main contribution of this research is that it conducted for the first Korean-Chinese translation study focusing on pamphlets for foreigners and multi-cultural families as a public document, and presented the criteria for translation error analysis by inductive reasoning.
An Optimal Solution of Storing and Processing Small Image Files on Hadoop

The rapid development of the Internet, especially mobile Internet, makes it much easier for people to make social contacts online. Nowadays they tend to spend more and more time on social network service, producing a lot of image files. This brings a challenge to traditional standalone framework on handing the continued increasing image files. Therefore, it is advisable to find a new way to face the challenge. Hadoop is a notable, widely-used project for distributed storage and computations with high efficiency, data integrity, reliability and fault tolerance. Hadoop Distributed File System and MapReduce are two primary subprojects respectively for big data storage and computations. However, Hadoop do not provide any interface for image processing. Worse, both Hadoop Distributed File System and MapReduce have trouble processing large amount of small files, decreasing efficiency of files access and distributed computations. This prevents us from performing images processing actions on Hadoop. This paper proposes a method to optimize small image files storage on Hadoop and self-defines an input/output format to enable Hadoop to process image files.
Constructing Volcanic Hazard Video Toward Student Comprehension of Kelud Volcano Disaster Prone Area And Its Environment Characteristics

Abstract This paper aim to presents several procedural proccess to develop learning material toward volcanic disaster with case study Kelud Volcano in East Java. Last eruption of Kelud volcano occured on 13th February 2014. This eruption phase has a big impact in large area especially in disaster prone area in Blitar, Kediri, and Malang. Volcanic pyroclastic material and lahar became serious hazardous problem. Some people who live in disaster area actually have not any experience coupling with volcanic disaster. In volcanic disaster management one most important thing is preparing people to reduce disaster risk. To achieve this purpose people especially student need to understand or have comprehension toward hazard, vulnerability, and risk of Kelud Volcano. Hence, need an effective media to reach student comprehension by using video. The video was developed by using design and development research. This video present series of Kelud volcanic hazard, vulnerability, people capacity to reduce disaster risk. The video is used to student in the senior high school. The result of using could increasing students understanding/comprehension toward Kelud volcano its environmental characteristics, hazard, vulnerability, and how to enhance people capacity toward disaster risk reduction. The final finding shows that learning material in form of video is used full to increasing student knowledge, comprehension, and capacity in the efforts of disaster risk reduction.
Perfil do profissional e serviços da área da estética no sul de Santa Catarina

Introduction: The search for beauty is growing by the concern with the appearance and consequent of the social standards. Objective: To know the professional profile of aesthetics and cosmetics in the cities of Sangao and Braco do Norte, SC. Methodology: Descriptive, quantitative research, 50 professionals from regions of two municipalities were sampled. Results: Among the professionals, the most frequent training (47.9%) are short courses or events in the area, 68.0% are between one and five years, with a predominance (56.0%) of between R $ 50, 00 to 100.00 per procedure, the majority (82.0%) has more than one function, of which 39.6% are considered non-technical. The clients are adults (98.0%) and predominantly women, who have a greater demand for modeling massage, skin cleansing and makeup. Conclusion: There are niches of aesthetic and cosmetic services that may be offered in these cities.
A Secure and Authorized Data De-duplication and Continuous Data Auditing

De-duplication eliminates redundant information segments from the data storage and reduces the scale of storage information. This is often significantly helpful in Cloud Storage wherever information is transferred to the storage target over WAN. De-duplication with Cloud Storage not solely reduces the space for storing needs, however conjointly reduces the information that’s transferred over the network leading to quicker and economic data protection operations. It raises problems about security, possession and data integrity. Recently, many de-duplication schemes are planned to unravel this downside by permitting every owner to share an equivalent cryptography key for equivalent information. However, most of the schemes suffer from security flaws, since they are doing not take into account the dynamic changes within the possession of outsourced information that occur often in a very sensible cloud storage service. The proposed system includes completely unique server-side de-duplication over encrypted information and server side continuous data auditing. It permits the cloud server to regulate access to outsourced information even once the possession changes dynamically by exploiting irregular oblique encoding and secure possession cluster key distribution. Along with the deduplication check, system also proposes an in-house continuous data auditing for data integrity check. The system performance is tested and it proves that the system is as efficient as the previous system and the extra feature of continuous auditing requires a negligible computation overhead.
Suitability of OCR Engines in Information Extraction Systems : a Comparative Evaluation

Previous research has compared the performance of OCR (optical character recognition) engines strictly for character recognition purposes. However, comparisons of OCR engines and their suitability ...
The Last Lie of Pinocchio

A man who keeps to himself in a snobbish chatty community does not give much heed to his tarnished image. Besides himself, only the unnamed friend-cum-narrator knows that he has always been as honest and truthful as an altar boy. But even the most truthful amongst us is obliged to lie sometimes.
CA-RefineNet:A Dual Input WSI Image Segmentation Algorithm Based on Attention

Automatic medical image segmentation has wide applications for disease diagnosing. However, it is much more challenging than natural optical image segmentation due to the high-resolution of medical images and the corresponding huge computation cost. The sliding window is a commonly used technique for whole slide image (WSI) segmentation, however, for these methods based on the sliding window, the main drawback is lacking global contextual information for supervision. In this paper, we propose a dual-inputs attention network (denoted as DA-RefineNet) for WSI segmentation, where both local fine-grained information and global coarse information can be efficiently utilized. Sufficient comparative experiments are conducted to evaluate the effectiveness of the proposed method, the results prove that the proposed method can achieve better performance on WSI segmentation compared to methods relying on single-input.
The Influence of the Ownership Form of the Educational Organization on the Salary of Pedagogical Employees

Currently, the pace of socio-economic development is largely determined by the development level of the education system. Preschool and general education plays a special role, as they form the main features of the future workforce. The quality of the education system depends on many factors, one of which is the remuneration of pedagogical employees. The first goal of the work is to demonstrate that, despite the adoption of Presidential Decree No. 597, the salary of pedagogical employees and their standard of living continue to remain low. The second goal of the work is to analyze their wages, taking into account the ownership form of the educational organization. The article describes the basic pedagogical employees pay indicators that are presented in open databases of the statistical authorities or calculated by the author: absolute pedagogical employees’ salary and its growth; pedagogical employees’ salary as compared to the regional salary and ratio of pedagogical employees’ salary to the consumer basket of a working age adult. It is shown that in 2013–2017 the living standards of pedagogical employees as a whole has been decreasing, and the target indicator has not been reached, however, their salary markedly differs depending on the ownership form of the educational organization. In preschool education pedagogical employees of organizations in regional ownership are in the best position. Pedagogical employees of organizations in federal ownership have the best performance in general education. However, they have fairly close indices that exceed the target indicator. The most numerous pedagogical employees of municipal educational organizations are in the worst position, and their salary is far behind the wages of pedagogical employees in state-owned organizations and is well below target values.
Virtual Referee: A system to identify off- sides in Football

The off-side rule is the most complicated rule in soccer. Today, off-sides are determined with the help of referees running on the sides of the field or with the help of cameras. However, for lower league games the installation of a camera based system is very expensive. This work proposes a sensor based system that can be worn by players which can automatically detect off-sides. In order to create such a system, two aspects had to be researched (a) localisation and (b) ball detection. This work provides an evaluation of an ultra-wide band system in outdoor conditions to solve the localisation problem and various proximity based sensors to solve the ball detection problem. The primary research objective of this work was to find the pit-falls of the ultra-wide band system with respect to our application. It was found that the tri-lateration algorithm implemented on the devices contributed to a lot of errors in localisation accuracy and the overall system suffered from significant packet loss. A custom tri-lateration algorithm along with hardware improvements are proposed. Our results show that the localisation errors are reduced by 56 % and improved system suffers from nearly no packet loss. As for ball detection, results show that ToF sensors provided the best accuracy in detecting the ball.
On the embeddings of quasi-categories into prederivators

The goal of this thesis is to present a survey of the relationships betweenthe theory of quasi-categories and that of prederivators. In the firstchapter we illustrate the basics on quasi-categories as well as the modelstructure of which they are fibrant objects. In the second chapter we givean overview of the theory of prederivators. Finally, in the third chapterwe explain the interactions between them. In particular, we describe how toconstruct two kinds of embeddings of the former into the latter and we seethat there exists a model structure on prederivators which is equivalent tothe one presented in the first chapter.