Reviewerly/exHarmony huggingface dataset:
Methodological Background and Foundations of the Non-Material Theory of the Psyche

In this paper, a number of outdated but still prevailing medical doctrines are critically reviewed, in particular, Hippocrates's hypothesis of the brain as a repository of all mental processes; I.M. Sechenov's hypothesis of the psyche as a derivate of the brain reflexes; I.P. Pavlov's hypothesis of the higher nervous activity as an equivalent of the psyche.In his research, the author refers to studies of feral children, studies of memory and subliminal perception, discovery of mirror neurons and contemporary views of the academic science on information.The author proves the non-materiality of the psyche and the role of the brain as a biological interface between the ideal and the real.The new approach would require changing the traditional paradigm as well as all our approaches to studying the psyche and treating mental disorders.
DIFFERENNT APPROACHES TO MOTION PARAMETERS ESTIMATION FROM IMAGE SEQUENCES

This paper reviews the basic techniques of motion information recovery from image sequences. It highlights the recursive method of estimating motion parameters as they are computationally less complex than nonrecursive ones. This paper focuses. on the use of an extended Kalman filter (EKF) in 2-D image processing. A straightforward extension of one-dimentional Kalman filter techniques would result in a number of state variables proportional to n for the filtering of an rum digital image. To overcome this problem, some approximations have been used to reduce the computational load of the algorithm but at the expense of its accuracy. This paper investigates also the parallel implementaion of the EKF in 2-D image processing problem for a range of transputer topologies to enable practical realizations. The parallel implementation results are presented and the relative speedup and efficiency measures are calculated to evaluate the perforemance.
Ghost reflection of testing long focal length lens with computer-generated hologram

The ghost reflections can cause spurious fringes in the interferograms and lead to error in the measurement. So it is necessary to evaluate the influence of the ghost reflection spot for a correct interpretation of interferograms. In this paper, the ghost reflections of testing long focal length lens with computer-generated hologram (CGH) are investigated and geometrical model is established to obtain an expression for the size of the ghost reflection spot. Moreover, simulations and experiments are carried out by studying the ghost reflections of the long focal length lens in Shenguang III system.
A Study on Differentiation and Fusion of Phonics and International Phonetic Alphabet in English Teaching

This article discusses the differentiation of Phonics and International Phonetic Alphabet in English teaching. Through analyzing the different stimulation on English learning of the students with these two kinds of teaching methods, this paper puts forward specific strategies for fusion application of these two methods in different stages of teaching.
Training, Enhancing, Evaluating and Using MT Systems with Comparable Data

This chapter describes how semi-parallel and parallel data extracted from comparable corpora can be used in enhancing machine translation (MT) systems: what are the methods used for this task in statistical and rule-based machine translation systems; what kinds of showcases exist that illustrate the usage of such enhanced MT systems. The impact of data extracted from comparable corpora on MT quality is evaluated for 17 language pairs, and detailed studies involving human evaluation are carried out for 11 language pairs. At first, baseline statistical machine translation (SMT) systems were built using traditional SMT techniques. Then they were improved by the integration of additional data extracted from the comparable corpora. Comparative evaluation was performed to measure improvements. Comparable corpora were also used to enrich the linguistic knowledge of rule-based machine translation (RBMT) systems by applying terminology extraction technology. Finally, SMT systems were adjusted for a narrow domain and included domain-specific knowledge such as terminology, named entities (NEs), domain-specific language models (LMs), etc.
Penerapan Algoritma Dynamic Programing pada Pergerakan Lawan dalam Permainan Police and Thief

&lt;p class="8AbstrakBahasaIndonesia"&gt;&lt;em&gt;Games have the basic meaning of games, games in this case refer to the notion of intellectual agility. In its application, a Game certainly requires an AI (Artificial Intelligence), and the AI used in the construction of this police and thief game is the dynamic programming algorithm. This algorithm is a search algorithm to find the shortest route with the minimum cost, algorithm dynamic programming searches for the shortest route by adding the actual distance to the approximate distance so that it makes it optimum and complete. Police and thief is a game about a character who will try to run from &lt;/em&gt;&lt;em&gt;police.&lt;/em&gt;&lt;em&gt; The genre of this game is arcade, built with microsoft visual studio 2008, the AI used is the &lt;/em&gt;&lt;em&gt;Dynamic Programming&lt;/em&gt; &lt;em&gt;algorithm which is used to search the path to attack players. The results of this test are police in this game managed to find the closest path determined by the &lt;/em&gt;&lt;em&gt;Dynamic Programming&lt;/em&gt; &lt;em&gt;algorithm to attack players&lt;/em&gt;&lt;/p&gt;
Design of the rubrics evaluation lists and the education contents for improve the computational thinking by using physical computing tool

The purpose of this study is to design education program and computational thinking (CT) rubrics evaluation lists using physical computing tools to improve effective CT skills. To do this, we analyzed the elements of CT, rubrics evaluation lists, and physical computing tools, and presented 12 rubric evaluation lists for learners. The contents of the education program were designed based on the real-life problem solving (RPLS) model. The education program design set a one topic for artifacts to be consistent with are CT element. Based on the rubrics of Kim JK, designed by analyzing the CT framework, we devised a CT rubrics evaluation list used the physical computing tools. After, this study is expected to be used as an effective CT teach program using the physical computing tools through the verification of the empirical results.
PENINGKATAN PRESTASI BELAJAR MEMBACA DAN MENULIS MELALUI ALAT PERAGA

This study aims to improve the achievement of learning to read and write through the use of teaching aids. This research is classified as action research with steps: planning, implementing procedures, reflection. The subjects of this study were Class I students at Palangan II Elementary School, Karangbinangun Subdistrict, Lamongan. The results of the analysis and reflection conducted by colleagues show that the interest of students in class I (one) in learning to read and write words, simple sentences with reasonable pronunciation and intonation has increased, in the initial condition 26.66% to 40.00% in cycle I means up 13.34%. The results of students in the final test or on a daily tests increased presentase students completed study on the initial conditions of 46% to 60% in the first cycle means an increase of 14% and to 87% in the second cycle rose 27%. Indicators of success about student learning outcomes in this study are determined at least 75% of the number of students who have reached KKM means that they have succeeded.&#x0D;
Research on the Integrated MIS of Power Supply Section of Traction in Railway Based on Cloud Computing

In this paper, Cloud computing development platform is adopted. Workflow technology is used to solve the difficulties of collaborative work. It is the combination of relational database and document database that makes database shared. Hadoop technology of Cloud computing is utilized to go on distributed computing and distributed processing of data. Finally, it builds the integrated Management Information System (MIS) of power supply section of traction in railway.
Analisis Optimasi Kinerja Protokol Routing AODV dan AOMDV dengan Menggunakan Metode RFAP untuk Mencegah RREQ Flooding Attacks pada Jaringan MANET

One sector that greatly influences it is in terms of network security. This is due to the characteristics of the MANET network that are dynamic so that the MANET network is very easily disturbed by irresponsible parties. One of the attacks that can occur in MANET network is Route Request (RREQ) Flooding Attacks. In RREQ flooding attacks in the form of fake nodes that are outside the area of the network and broadcast RREQ to the destination node in the network, so that it meets the bandwidth capacity which results in a decrease in quality in determining the route of sending data or information to the destination node. To prevent the occurrence of RREQ flooding attacks, a prevention method for these attacks is required, namely the RREQ Flooding Attacks Prevention (RFAP). This method works by finding nodes that are likely to be malicious nodes then isolated from the network to be restored to normal nodes. This research will optimize the AODV and AOMDV routing protocols by adding RFAP prevention methods and knowing the performance of the two protocols in terms of throughput, average end-to-end delay and normalized routing load. Based on the results of the simulation, that the application of the method RFAP on AODV routing protocol can produce network quality is better than AOMDV protocol, both in terms of throughput, average end-to-end delay and normalized routing load.
Abstract 32: “Rendezvous System” for Broadening a Mobile Stroke Unit Catchment Area

Purpose: Mobile Stroke Units (MSU) deliver acute stroke treatment on-scene in coordination with Emergency Medical Services (EMS) prior to transport to a stroke center. One criticism is the limited range of a single MSU. The Houston MSU is the only one in the U.S. using a rendezvous system with EMS to expand its range. Methods: In addition to direct 911 dispatch of our MSU directly to the scene for tPA eligible patients within our “catchment” area (8 miles), we asked more distant EMS units to notify the MSU and also monitored EMS radio communication to identify eligible patients. For these “distant” patients, the MSU meets the EMS unit enroute to the stroke center and treats the patient at that intermediate location (usually a parking lot). The distribution of the distance from MSU base station to site of stroke and time from alert to tPA bolus were compared between patients treated on scene and by rendezvous using Wilcoxon rank sum test. Results: From August 18, 2014 to July 20, 2018, 290 acute ischemic stroke patients were treated with tPA on our MSU. Of these, 140 (48.3%) were treated on scene by direct 911 dispatch, with a median of 7 miles (IQR 5 miles) from MSU base station. 150 (51.7%) patients were treated by rendezvous. They had their strokes a median of 13 miles from base (IQR 6 miles) (p&lt;0.0001). Time (min) from 911 alert to tPA bolus was 37.6±9.7 with on-scene, and 37.7±12.7 with rendezvous (p=0.89). Conclusion: A “rendezvous system” significantly expands the range of operations for a MSU in an urban area, doubling the number of patients treated, without incurring delay. This approach might be even more useful in rural areas.
Research on search engine technology of knowledge graph analysis

This paper studies the construction theory and implementation method of this type of search engine in a specific field, hoping to provide entity query in a specific field through this search engine, that is, to retrieve relevant entities from the entity database and return them to users through in-depth understanding of user needs. Surrounding structures, field based on the knowledge Graph search engine, the research based search engine framework, web crawler, data indexing, knowledge extraction, the Graphing model. The key techniques such as the scientific knowledge in the field of search engine Graphing, facilitate timely tracking the international front, grasp the correct research direction and find a proper breakthrough point for the research.
The Robust Stream Cipher for Securing Data in the Smartphones

With the development of network and communication systems in large areas in the world, this leads to increase security problems in transmission of data such as data leakage, modification, unauthorized access, and attacks. There are many types of techniques that are used to prevent these problems and protect data. One of these techniques is a stream cipher which considered the strongest and fastest method used in encryption and decryption process. In this study presented a new design for the stream cipher to protect mobile data. The strength of stream cipher depends on it is' key. There are several methods to generate key. We used three types of generator. Then, it used the combiner to convert them into a nonlinear Boolean function in order to make the generator key more secure. To implement a new generator key by using these three kinds, we used four LFSRs and one of NLFSRs or FCSRs to produce five variables Boolean function. These variables will be as an input to the combiner function. Finally, we tested the generator and submitted it to the randomness tests that is publicly available in the National Institute of Standards and Technology (NIST).
The Use Of Virtual Interactive Game In Kinetotherapy Activity

The theme of the paper is part of a preliminary research that follows several aspects regarding the education of psychomotricity for the child with mental deficiency, aiming at introducing new elements of modern technology, namely virtual interactive game, in the therapeutic-educational act using the Kinect sensor. Purpose of the research: To study the possibility of including virtual interactive game in the kinetotherapy activity for the child with mental deficiency. The research was carried out at Special School no. 8, Bucharest, between February 2017 and April 2017, the group of subjects being made up of 5 pupils with mild and moderate mental deficiency, from primary education. The research was based on the experimental method for the verification of work tools and introduction of virtual interactive game in kinetotherapy activity. Results: Children demonstrated better concentration of attention and an increase in motivation to accomplish their work tasks in the kinetotherapy activities performed using virtual interactive games, associated with classical didactic means, the development of the spirit of competition and/or an improvement in the collaboration relationship with the partner (when there were more participants in the game). Conclusions: The purpose of the research was achieved, the children being very pleased with the inclusion of virtual interactive game in kinetotherapy activity. The inclusion of computerised didactic means, offers of modern technology, in motor activities could contribute to improving the quality of life of children with mental deficiency, because they are, like all children, attracted to such devices specific to contemporary life.
The Epistemological Model of Pedagogy, Promoted by Stefan Barsanescu

Pedagogical epistemology is an area of the philosophy of education. As pedagogical science (or science of education), pedagogical epistemology is methodologically built on the interdisciplinary relationship between pedagogy and philosophy. This education science built interdisciplinary, has a general aim the analysis of the historical and theoretical fundamenting process of pedagogy as a socio-human science specialized in the study of education and training in the open framework of the system and the educational process. Fulfilling this general purpose requires the construction of an epistemological model. Such an epistemological model is the one promoted by Ştefan Bârsănescu, during two historical stages. At the stage of modern inter-war pedagogy (1936) and - through deepening and updating - in the stage of contemporary pedagogy (1976) - see "Unity of Contemporary Pedagogy as a Science", 1st Edition, 1936, 2nd Edition, 1976. The epistemological model proposed by Ştefan Bârsănescu highlights the necessary premises for the unitary construction of "pedagogical science", assured at the level of fundamental concepts, of "scientific style" and "research" system. The epistemological issue is referred to "two main questions": a) how was the specific research object of pedagogy designed?; b) what is the methodology of research specific to pedagogy? In this sense, "the use of the historical method in demonstrating of an epistemological problem" is welcome. With the help of it, the progress of pedagogy can be seen in its path "towards a true science of education".
Comparing MOOCs with Traditional Courses for Quality Teaching in Higher Education

As the rapid development of modern technology, MOOCs have gained increasing attention from both academia and industry. Some researchers and practitioners have considered MOOCs as a disruptive innovation in higher education, having the potential of replacing traditional courses, while others insist on traditional courses. In this paper, we take a closer look at this topic and aim to figure out the interrelationship between MOOCs and traditional courses based on quality teaching framework. In particular, we adopt a goal modeling technique to systematically refine the objective of quality teaching, and analyze how MOOCs and traditional courses contribute to the achievement of quality teaching. Based on such analysis, we finally come to the conclusion that MOOCs and traditional courses are all indispensable parts for quality teaching, complementing each other.
Fuzzy Fault Tree Analysis based on Interpretive Structure Model and Binary Connection Numbers

Building a fault tree and calculating the sequence of bottom events importance degree are key steps in fault diagnosis.Two improvements are made to the fuzzy fault tree in this study.The first is building the fault tree using Interpretive Structure Modeling (ISM) technology.The second is transforming triangular fuzzy numbers into binary connection numbers (BCN) through the uncertainty theory of set pair analysis, where the certainty coefficient is determined by the median of the triangular fuzzy number and the uncertainty coefficient is determined by the interval value described by the upper and lower limitations.The formula of failure probability of the top event and the formula of probability importance of the bottom event are deduced with the binary connection number.This method reduces the calculation amount.A case study is carried out to verify the feasibility and effectiveness of the method.
Smart Search over Enciphered Data for Cloud Computing: A Survey

With the advancement of information technologies particularly cloud storage used outsourcing data. Now a day's users store a large amount of data on the cloud but it's untrusted and we store secure data on the cloud. The concept of searchable encryption provides a promising direction in solving the privacy problem when outsourcing data to the cloud. Such schemes allow users to store their data in an encrypted format an untrusted server and then delegate the server to search on their behalf by issuing a trapdoor (i.e. encrypted keyword). This paper gives a detailed survey of various methods for searchable encryption schemes.
Three Dimensional Linkage: A Study on the Mobile Learning Model of Normal College Students in Local Colleges and Universities Under the Optimization Theory

With the popularization and enhancement of teachers' team in the information age, how to cultivate teachers who are suitable for social needs and focus on Local Normal Universities and local governments? This paper studies and analyzes three important points put forward in the outline of the national medium and long term educational reform and development plan (2010-2020 years), and gives corresponding optimization strategies.
Astronomy of the day is more effective than seasonal decomposition in modeling and predicting the rates of Amazon review misspellings

This study shows that the misspelling rates in Amazon reviews can be effectively modeled as having cyclical components by using seasonal decomposition, and this effectiveness is almost identical to that gained by using a neural network that uses basic astronomical placements of the day. While the modeling of past Amazon misspelling rates was slightly more effective using a neural net and astronomy of day as compared to seasonal decomposition, future values were only effectively predicted by the neural net that used astronomy of day.
Dynamic research support for academic libraries, red. Starr Hoffman, London: Facet Publishing 2016, s. 154. ISBN 978-1-78330-049-5

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Pengembangan Pembelajaran Model Blended Computer Based Learning (BCBL) Tentang Turunan Fungsi untuk Meningkatkan Kemandirian Belajar Siswa SMA

The aimed of this studied was developed learning through computer-assisted as BCBL. Result of this studied have been stated that: (a) the potential of five high schools in Karawang districts supported the implementation of BCBL development, (b) planning of BCBL development through a systematic development stages from preparation, production, simulation, experiment, and publication, (c) the implementation result of BCBL learning through revision tested were learner activity and higher autonomy. Keywords: BCBL; Independence Self-reliance; Student Competence.
A Visual-Inertial Odometry Using EKF

Visual-inertial odometry (VIO) is a process of estimating the position and orientation of an mobile platform (e.g., vehicle, robot) using measurements from on-board cameras and IMU sensor. In this paper, a visual-inertial odometry algorithm is presented which can achieves accurate performance. In the proposed method, relative position and orientation between the body frames at different time instants are estimated by MIMU and monoVO separately, then an extended Kalman filter (EKF) is used to combining these estimation for achieving an accurate estimation of the motion. Experiment is conducted to show the effectiveness of the proposed method in real environment.
A Method of Automatically Evolving Feature Models of Software Product Lines

A software product line is a kind of software, which generates software products with similar functionality by reusing assets. A feature model is extracted from requirements documents to represent each functional module of a software product line and the relationship among functionality. During the evolution of a software product line, a feature model always needs to be rebuilt. The rebuilding process cannot guarantee the correctness of the reconstructed feature model. Therefore, we propose a method of automatically evolving feature models of software product lines with evolutionary requirements to solve the repeated reconstruction and reduce errors in reconstruction. In the method, a formal model of feature models is constructed by communication membrane calculus, then the formal evolutionary requirements can change the formal model automatically, finally the changed formal model is mapped to the reconstructed feature model. The several experiments are carried out by open feature models, and the results of experiments not only verify the effectiveness of the proposed method but also show the method can be used to test whether the software product line evolves according to the requirements. The method can automatically change feature models of software product lines to avoid mistakes when people modify the feature model.