Reviewerly/exHarmony huggingface dataset:
The identity formation: The Experienceofsocio-Pedagogical Analysis

This article presents the experience of socio-pedagogical analysis of the process of identity formation. It is shown that from the point of view of pedagogy, the semantic division of the concepts of "development" and "formation" on the basis of the leading source of qualitative changes is important: the dominance of internal autonomous sources, internal mechanisms (development) and the predominant influence of external forces, external conditions and mechanisms (formation). The formation of identity is secondary to being and socio-educational by nature process of stimulating, directing, guiding and correcting the underlying process of identity development. Attention is drawn to the role of indirect socio-pedagogical influences, which are associated primarily with the variety of environmental influences and the ability of teachers to use their capabilities as socio-pedagogical means, as well as – with the effectiveness of practices of prevention and correction of negative environmental influences. The priority role is played by the cultural and educational environment, which accumulates a rich experience of self-determination of the individual, group, community and stimulates its use, and in hidden forms can provoke negative socio-pedagogical practices. Transformation of the environment in the context of the educational system of the educational organization is possible through the creation of situations of events and co-existence. It is argued the importance of taking into account the combination of necessity and objective limitations of pedagogical influences on the process of identity formation; socio-cultural conditionality of identity formation; taking into account the peculiarities of the socio-cultural situation of the development of a modern child.
High-quality texture reconstruction for three-dimensional multi-view imaging (Conference Presentation)

Three-dimensional (3D) model with high-quality texture is a powerful way to interact between virtual and reality 3D scene. It has significant applications in digital preservation of cultural heritage, virtual reality / augmented reality (VR/AR), medical imaging and other domains. High-quality texture reconstruction is one of the essential elements for 3D model. Due to the camera pose error and inaccurate model, current texture reconstruction methods could not eliminate the artifacts like blurring, ghosting and discontinuity. In this work, multi-view high-definition images are captured for texture mapping. Normal-weight, depth-weight and edge-weight parameter are introduced to evaluate texture color confidence, respectively. The normalized weight factors are multiplied to generate a comprehensive weight parameter. By taking a weighted average of projected texture images, discontinuity of texture can be smoothed to a large extent. For large misalignment, bidirectional similarity (BDS) function, which represent the structural similarity between two images, are utilized to improve the texture image. The energy function is composed of two terms. One is Euclidean distance between target texture image and merged texture image. The other is BDS between target texture image and original texture image. By minimizing the energy function, the texture image could generate small local displacement while retaining the original structural information. The target and merged images are optimized alternately, the target image is calculated by patch-match algorithm, and the merged image is derived from weighted average of target images. The method we proposed could produce seamless texture comparing with Markov random field (MRF) algorithm. The definition could be higher than the camera parameter optimization algorithm. The experimental results show that structural similarity (SSIM) between the reconstructed images and the ground truth is higher than traditional algorithms. When dealing with inaccurate models with less than 10,000 facets, the SSIM value could be doubled compared with current algorithms.
VISUAL AND COGNITIVE MEDIA: THE LANGUAGE ACQUISITION OF CHILDREN WITH DYSLEXIA IN ACEH

This paper aims at revealing the causal-effect relationship between picture and dyslexia’s reading ability when acquiring the language and describing their behavior when picture is applied as a media in learning reading. Single subject used as a research design here by observing students’ behavior when trying to obtain the language using a negative picture and testing them with an Oral reading test. Three Acehnese children 7-9 years intermediate classes were chose as the sample. The result showed that dyslexia’s ability was effected by picture significantly
Moving Hadoop to the cloud for big data analytics

Hadoop is a Java-based open source programming framework, which supports the processing and storage of large volumes of data sets in a distributed computing environment. On the other hand, an overwhelming majority of organizations are moving their big data processing and storing to the cloud to take advantage of cost reduction – the cloud eliminates the need for investing heavily in infrastructures, which may or may not be used by organizations. This paper shows how organizations can alleviate some of the obstacles faced when trying to make Hadoop run in the cloud.
Gestor da informação em saúde: promotor do conhecimento na tomada de decisão

This paper highlights the importance of identifying and defining the profile of the health information manager to assist in the decision making of the health manager. This article has as main objective to identify in the literature, information concerning the information professional, concentrating on the health information professional, in an attempt to compose the appropriate profile for the information manager in Health. Since this profile is appropriately delineated, we believe that this professional can advise the health manager regarding the appropriate decision making. It is a scientific article, based on a literature review and personal observations of the main author who has been working for over twenty years in the area of health, aiming to clarify the main concepts inherent in the subject and to consolidate knowledge for the understanding of Information professional activities.  The conclusion is that the Health Information Manager is a figure of great relevance in the era of decision-making based on scientific evidence, since it is this professional who knows the sources of information, the resources to evaluate the quality of these sources and the indexed texts , in addition to having knowledge of information management technology applications. Training to map information usage points, identifying the needs and requirements with its clients, completes the profile of skills of the facilitator's profile of access and use of information.
An Encompassing Review on Hand Gesture Techniques

The wireless communication enables the users to interact with the robot in a more friendly way.Hand gesture technique is used enormously in recent years for human-computer interaction.It's an efficient way of interaction with machines makes it more popular and applicable for many purposes.The hands, arms, body, and face used for gesture technique perceive critical demeanours of movement by a human.Gesture technique is mainly applicable for video conferencing, sign language recognition, distances learning and in some forensic identification, land rover.This paper gives a complete survey of different gesture techniques.The benefits and limitation of all methods for hand gesture covered efficiently.
INPATIENT ACUTE HEART FAILURE MORTALITY MODEL DISCHARGE VARIABLES ARE NOT SUPERIOR TO ADMISSION VARIABLES

The Classification and Regression Tree Analysis (CART) model utilizing systolic blood pressure, serum creatinine, and blood urea nitrogen predicted in-hospital mortality from acute heart failure, only admission value were desired. We hypothesize re-calculating the CART mortality model variables at
Efficacy of Innovated Four-Stroke Gasoline Engine Trainer: It's Technical Enhancement to Grade 12 Senior HS Students

Constantly, engine before all ages until today has a piston in it. Reciprocating up and down movement of a piston that converted to rotary motion by crankshaft can never be changed. This study facilitated students in developing their understanding of the operation of four-stroke cycle fundamentals using simulated cut-away parts of an engine. The study used a descriptive research design. Descriptive statistics were used to describe the students' survey responses. Inferential statistics (one-tailed t-test) was used to establish the difference between post-test and pre-test results of the written examination, simulation and practical examination. The study was conducted to the 24 senior high automotive Grade-12 students of Lapasan National High School-Gusa Annex during the second semester of School Year 2017-2018. As a result, the study found a significant difference in the respondents' pre-test and post-test scores. It helps 100% of the respondents' to pass the national certification level-1. Generally, the students can easily perform simple to complicated tasks; they become self-reliant, confident in handling the actual operation of engine servicing given such advantages. A corollary to this, the said innovation considered and re-assessed toward sustained improvement the researcher should use the results of the study for deeper analysis of issues and concerns on four-stroke cylinder gasoline engine trainer and as a benchmark measure to increase students' academic performance.
The Growing N-Gram Algorithm: A Novel Approach to String Clustering

Connected high-tech systems allow the gathering of operational data at unprecedented volumes. A direct benefit of this is the possibility to extract usage models, that is, a generic representations of how such systems are used in their field of application. Usage models are extremely important, as they can help in understanding the discrepancies between how a system was designed to be used and how it is used in practice. We interpret usage modelling as an unsupervised learning task and present a novel algorithm, hereafter called Growing Grams (GNG), which relies on n-grams—arguably the most popular modelling technique for natural language processing — to cluster and model, in a two-step rationale, a dataset of strings. We empirically compare its performance against some other common techniques for string processing and clustering. The gathered results suggest that the GNG algorithm is a viable approach to usage modelling.
A needs analysis of students of airline service English within the NCS framework

This study aims to analyze the needs of students studying airline service English within the context of English for Specific Purposes (ESP). The 68 college students participated in a questionnaire which explored students’ attitudes to nine competency units and 33 competency unit constituents of Airline Cabin Service of the National Competency Standards (NCS) framework. For each competency unit constituent, students were asked to indicate their opinions in terms of wants, interests, and needs by assigning a score of 1 to 5 on a 5-point Likert scale. The results of the survey show that they think the competency units of 8 (Dealing with a medical emergency), 6 (Post-landing service), 9 (Cabin crew management), and 4 (In-flight service) are those they most want to learn, find interesting, and are necessary. The results of the study are compared with those of a previous needs analysis study of airline service industry experts and a content analysis of 10 airline service English textbooks. In terms of necessity, the results of this study demonstrate similarities in how the students and the industry experts ranked the nine competency units. However, these results show significant differences with the contents analysis of the 10 textbooks. To conclude, this study recommends an alternate sequence of the nine competency units based on the importance and necessity indicated by the students and the industry experts which could be used in future airline service English textbooks.
Experiments determining the height of the pressure and the time required to clean the water purification filter

The water treatment process to get water that meets the requirements of drinking water is carried out using sand filters as the main ingredients in addition to gravel, charcoal, and fiber. This water treatment can effectively produce drinking water that is needed, the use of a filter for a long time will cause blockage by dirt stuck on the surface of the sand filter, so it cannot be used continuously without being cleaned regularly. This study aims to determine the water pressure needed to clean the dirt that clogs the sand filter and the length of the filter washing cycle. Using laboratory experiments on a J-shaped filter container model of cross-section plastic pipe 07.5 cm, 010 cm, 015 cm, and 020 cm filled with sand grading 0.15 to 0.6 mm as thick as 50-60 cm, channeling pressurized water through the outlet into the sand filter and out through the overflow pipe. The results showed that a water level of 200 cm above the datum was able to push dirt and clean the filter after being pressed for 600 seconds.
Quantum walkers caught in a loop

Quantum OpticsA quantum walk is the quantum mechanical analog of a classical random walk, describing the propagation of quantum walkers (photons) through an optical circuit. Because quantum walks generate large-scale quantum superposed states, they can be used for simulating many-body quantum systems and the development of algorithms for quantum computation. Nejadsattari et al. describe the photonic simulation with cyclic quantum systems. Using a multiple-site optical system, they explored the wave function dynamics and the probability distribution of quantum walkers as they loop through the system from site to site. With the ability to simulate a variety of different quantum operations and gates, they claim that the versatility of the approach should allow the study of more complex many-body systems.Optica 6 , 174 (2019).
An In-depth Evaluation of an Optimized Algorithm for DNA Motive Discovery

Motive Finding is the process of locating the meaningful patterns in the sequence of DNA, RNA or Proteins. There are many widely used algorithms in practice to solve the motive finding problem and these methods are local search methods. Different search algorithms were discussed which are Gibbs sampling, projection, pattern branching, and profile branching. The limitations surrounding them gave an advantage for the selection of the best algorithm in producing an optimized algorithm for the DNA discovery.
Bayesian Network Model for Learning Arithmetic Concepts

An object usually belongs to multiple concepts, but some concepts can be judged directly while other concepts need to be inferred indirectly.To learn some arithmetic concepts from positive integer number sets, we address an arithmetic concept Bayesian network (ACBN) model by taking advantage of Bayesian networks.Specifically, we first give an ACBN model to represent the arithmetic concept knowledge and their direct relationships, and then we design an ACBN model learning algorithm based on domain knowledge.Furthermore, to infer indirectly some arithmetic concepts, we design the learning method of evidence concepts based on the idea of knearest neighbors, and then we propose the inference algorithm of the ACBN model.Finally, the experimental results demonstrate that the ACBN model can effectively learn some daily arithmetic concepts.
Identification Rainfall Humidity With Sugeno Methods

Moisture identification of rainfall is very useful and petrified in the activity of utilizing the sun's heat, such as in drying clothes, drying food ingredients in household businesses, and so on. Rainfall is influenced by changes in temperature and humidity that is always changing. To predict the accuracy of rainfall in this study used the Fuzzy Sugeno method. In the Fuzzy Sugeno method, input data in the form of rainfall data, light intensity, and temperature, while output data in the form of humidity indications of rainfall with an indication of damp, very humid, and not humid. In order for all input data to be classified, the Arduino module is used to translate the results of reading input data from the sensor. The accuracy of the prediction of identification of rainfall from the results of this study is very good. So this research is very helpful in identifying the level of humidity in the rainfall.
Improving Community Information Literation through Reading Garden in Kampung Cilutung Dusun Gandamekar Desa Cikapinis Kecamatan Karangnunggal Tasikmalaya [Meningkatkan Literasi Informasi Masyarakat melalui Taman Bacaan di Kampung Cilutung Dusun Gandamekar Desa Cikapinis Kecamatan Karangnunggal Tasikmalaya]

Gandamekar Hamlet is a village in Cikapinis village, Karangnunggal District, Tasikmalaya Regency. In this hamlet there are many small children with low literacy levels and low education because most of their parents are farmers who do not know the world of education. The community in the village has not considered science and education as important. Therefore, we consider the need to hold and present a new menu to arouse and bring people closer to the window of knowledge in the form of books, namely by establishing a reading garden. The establishment of the reading park is expected to increase the number of literates and can change people's understanding that science that has been neglected is useful to improve their standard of living. The method used in community service activities is Making children's playgrounds, Designing group storytelling, weekly and monthly thematic discussions, study needs of community reading books. The results of this community service activity are the team making a program which is divided into the preparation stage, the stage of establishment, the evaluation phase. The stage of this activity is the naming of the reading garden, which is "Riyadul Ummah TBM", management structure, and facilities for prepared books such as children's story books, religion, agriculture, and the application of technology.
Student Volunteers at the \"Hub of Microwaves\"

Presents information on the 2019 IMS Conference.
User Test Report of Personal Mobility Vehicle, RT-Mover PType WA

The demands for continued development in Personal Mobility Vehicles (PMVs) are increasing due to the need to improve users' lives. For example, wheelchair users, including people with disabilities, need powered wheelchairs for their daily activities, and elderly people expect to use mobile platforms for a better quality of life. We have developed RT-Mover-type PMVs, which has two drive modes, in accordance with the terrain encountered in daily activities: wheel mode and leg motion mode. The latest version of RT-Mover-type PMVs is the RT-Mover PType WA (P-WA). In this paper, one set of results of user tests of P-WA in a real environment is described. The scenario discussed in this paper is climbing up and down a sidewalk on a slope. In the scenario, the sidewalk has a height of 14.5 cm and a slope of approximately 10 degrees. Through these tests, P-WA shows its potential for use in our daily lives.
A213 VIDEO EDUCATIONAL MATERIAL FOR PATIENTS PREPARING FOR COLONOSCOPY

Preferences for receipt of information vary among individuals, with many patients showing an interest in receiving via video content. Although several educational videos on colonoscopy are available, most of them have not been evaluated systematically. To develop and compare a colonoscopy video educational resource to a previous video on similar subject matter. We developed a new video resource, based on feedback from patients and health care providers and recommended content in literature. A similar content video from the web was identified as the most highly rated by an advisory group. Individuals attending gastroenterology clinics, blinded to the source of videos, were recruited to watch both the New Video and the Similar Video. The order of watching the videos was randomly assigned to allow the assessment of order effects. After watching, participants were asked to rate each video based on: amount of information, clarity, trustworthiness, ease of watching/understandability, familiarity, reassurance, information learned, understanding from the patient’s point of view, appeal, and if they would recommend the video. Participants were then asked which video they preferred and why they preferred it based on clarity, trustworthiness, ease of watching/understandability, and reassurance. Participants were also asked to explain what they liked/disliked about the videos and if they had any suggestions for improving the material. 232 participants viewed both videos. When the New Video was viewed first 64% preferred the New Video and 31% preferred the Similar Video. When the Similar Video was viewed first 78% preferred the New Video and 20% preferred the Similar Video. Of the participants that had not had a previous colonoscopy, 66% preferred the New Video, while 74% of the participants with previous colonoscopy experience preferred the New Video. Multivariable logistic regression analysis also suggested that participants prefer the New Video if they saw it second. Participants rated the New Video as clearer and more trustworthy than the Similar Video. Many participants specified in the open-ended questions they liked New Video better because it was clearer, it was more informative, and was more visually appealing. We have developed and validated a new colonoscopy video educational material, which is freely available on the web. Our study suggests that in information evaluation studies, it is important to consider order effects. We have developed a process to appraise and compare different video information materials against each other. None
Simply RaTT: A Fitch-style Modal Calculus for Reactive Programming.

Functional reactive programming (FRP) is a paradigm for programming with signals and events, allowing the user to describe reactive programs on a high level of abstraction. For this to make sense, an FRP language must ensure that all programs are causal, and can be implemented without introducing space leaks and time leaks. To this end, some FRP languages do not give direct access to signals, but just to signal functions. Recently, modal types have been suggested as an alternative approach to ensuring causality in FRP languages in the synchronous case, giving direct access to the signal and event abstractions. This paper presents Simply RaTT, a new modal calculus for reactive programming. Unlike prior calculi, Simply RaTT uses a Fitch-style approach to modal types, which simplifies the type system and makes programs more concise. Echoing a previous result by Krishnaswami for a different language, we devise an operational semantics that safely executes Simply RaTT programs without space leaks. We also identify a source of time leaks present in other modal FRP languages: The unfolding of fixed points in delayed computations. These time leaks are eliminated by the Simply RaTT type system.
A survey on word embedding techniques and semantic similarity for paraphrase identification

In natural language processing (NLP), paraphrase identification (PI) determines the relatedness between the pair of sentences having fewer or negligible lexical overlap but still pointing towards the same meaning. The major challenge faced while attempting to solve this problem is the many possible linguistic variations conveying the same purpose. This paper aims to provide a detailed survey of traditional similarity measures, statistical machine translation metrics, machine learning and deep learning techniques and a well-defined flow between them. This article encompasses various word embedding methods and step-wise derivation of its learning module. This survey paper also provides a definite flow pointing towards the evolution of deep learning in an unambiguous manner. A comparative analysis of various techniques to solve PI is presented and it will provide research directions to work in the similar domain.