Reviewerly/exHarmony huggingface dataset:
Review: Resume Extraction & Candidate Recruitment System

Automated Resume Extraction and Candidate Selection System is a product which can be best suited for any organization’s recruitment process. The system will be robust enough which will automatically extract the resume content and store it in a structure form within the Database. Classification algorithm (Decision tree) will be run on the profiles to identify profile Categories or classes. Even the employer can suppose to specify his criteria and also decide the portentous level. As the internet is growing rapidly, there is huge amount of electronic text that is increasing rapidly. This brings the favor of reaching the information sources in a cheap and quick way. Keywords are handy tools as they give the shortest summary of any document. But they are rarely composed in the texts. There are proposed methods for automated keyword extraction. This paper also specifies such a method, which identifies the keywords with their frequencies and positions in the training set. It uses decision tree algorithm with supervised learning.
Image information hiding based on Arnold scrambling and chaotic fusion algorithm

Arnold scrambling algorithm is used to scramble and encrypt secret information. Logistic chaotic mapping and discrete cosine transform are combined to hide secret information in the image, so that secret information can be hidden and transmitted safely. The simulation experiment under the environment of MATLAB shows that the method has good robustness and effectiveness.
An Original and Additional Mathematical Model Characterizing a Bayesian Approach to Decision Theory

We propose an original mathematical model according to a Bayesian approach explaining uncertainty from a point of view connected with vector spaces. A parameter space can be represented by means of random quantities by accepting the principles of the theory of concordance into the domain of subjective probability. We observe that metric properties of the notion of $\alpha$-product mathematically fulfill the ones of a coherent prevision of a bivariate random quantity. We introduce fundamental metric expressions connected with transformed random quantities representing changes of origin. We obtain a posterior probability law by applying the Bayes&amp;#39; theorem into a geometric context connected with a two-dimensional parameter space.
Literacy Tradition of Sundanese Society - Indonesia

The literacy tradition of Sundanese society appeared around the 16th century AD. This was attested by the discovery of the ancient Sundanese Sanghyang Siksakandang Karesian (SSK) manuscript written in 1518 AD. The discovery of the manuscript was not only illustrated Sundanese literacy tradition at that time, but also the ability to explore and understand ideas both delivered in writing and in audio- visual. As a matter of fact, literacy activities at that time had achieved the level of understanding and solving social and statehood problems with referenced to behavior in forms of dogmas. Thus, literacy activities at that time had involved and devoted all potential and expertise to manage life or life skills. The manuscript of SSK also illustrates the realm of literacy that has been covered at that time, for example reading and writing literacy, numerical literacy, scientific literacy, financial literacy, and cultural and citizenship literacy. The description of the above facts will be explained descriptively.
Randomized controlled trials on traditional Chinese medicine for cancer care published in Chinese: Quantity and quality from 1984 to 2016

Individual reactions to driving simulators are subject to considerable interindividual differences. This includes the expression of motion sickness-like symptoms, simulator sickness (SS), and the subjective feeling of being in the virtual environment, spatial presence (SP). These differences can decrease the statistical power of simulator studies, i.e., lower the probability of finding actual existing effects. The study at hand explored the impact of SS and SP on usability and mean speed in driving simulations using different navigation systems. SS and SP were further measured using both post-exposure questionnaires and repeated online measurements. A mixed models analysis of data from 57 drivers could establish an effect of differing navigation systems on usability and mean speed. The further inclusion of SS and SP in the analysis of these effects was beneficial. SP also mediated an indirect effect of navigation systems on usability. Repeated online measurements did not offer an advantage compared to questionnaires for the prediction of usability. However, for mean speed, they improved predictions compared to questionnaires for both SP and SS. The study highlights the benefits of assessing individual reactions to simulators and illustrates that repeated online measures are more suitable than post-exposure questionnaires for the study of continuous responses.
A Multi-View Texture Fusion Approach for High Quality 3D Face Modelling

This paper presents an accurate means for the 3D face texture mapping based on a multiple-view 3D scanning system. Given a reconstructed 3D mesh model and a set of calibrated images, a high-quality texture mosaic of the surface can be created by the proposed method. The proposed method aims to avoid noticeable seams, color discontinuity and ghosting problems. The method performs in two steps, i.e. occlusion areas filtering and the fusion of different texture images. The filtering is performed to identity invisible areas from the camera viewpoint and leaves them not textured. To perform the occluded areas filtering, we combine the geometrical features of the objects and the visual range of the camera. Experimental results showed that, texture mapping quality and precision can be improved in comparison with conventional means.
Crowd behavior analysis using MoDTA approach

&lt;span&gt;In order to analyze the behaviors of human, significant extent of work has been carried out in the video surveillance applications. While considering the crowded scenes, the adopted features are crafted manually which have a great side to detect anomaly. It requires prior information and is hard to extract from complex video scenes and also it involves huge computational costs. In this paper, we are proposing multi-observational detection and tracking approach (MoDTA) that is based on observational filter. The MoDTA initially acquires&lt;span&gt; &lt;/span&gt;people location in an image, &lt;/span&gt;so that is &lt;span&gt;can detect conviction value at pointed locations which generally increases with respect to people density. In the phase of tracking, MoDTA computes the multiple observed weight values and individual features, also advection particle is used at motion model in order to facilitate the dense scenario tracking. Coefficient of correlation is used as template detector and the function of template detector is to estimate the upcoming object. Our proposed MoDTA is compared with other existing detection and tracking methods in order to evaluate the system performance.&lt;span&gt; &lt;/span&gt;&lt;/span&gt;
T58. DEVELOPMENT OF AN AL-BASED WEB DIAGNOSTIC SYSTEM FOR PHENOTYPING PSYCHIATRIC DISORDERS

The technique of phenotyping psychiatric disorders with neuroimaging data (e.g. MRI, PET) allows physicians to not only better diagnose but also introduce early interventions if necessary than traditional approaches. Recently, there is an increasing interest initiating AI-based medical diagnostic applications for oncology and pathology. One distinguished explainable DNN (EDNN) framework is currently presented for identifying key structural deficits related to the known structural pathology of schizophrenia [1]. As a consequence, this project aims to develop an Al-based web diagnostic system under this latest EDNN framework for diagnosing probability of schizophrenia with 3D visualization of subjects’ neuroimaging dataset. The Al-based web diagnostic system consists of three main components: the website, the server and the database. The website is served up as HTML and JavaScript (js) files, both of which have become enormously popular in web development. All the data will be converted for graphical preparations and visualizations at this level through user’s local computing resources and WebGL for the graphical abilities. The server is constructed with Node.js, a platform on Chrome’s JavaScript runtime for building scalable network applications. Node.js has been tested to yield better efficiency than PHP and Python-Web [2]. On server side, the EDNN framework is deployed to communicate with the database. The database is the data storage for all the dataset to be viewed and to be added. For the verification of the applied EDNN framework, the diagnostic system is validated in respect of accuracy with structural brain magnetic resonance (MR) images. The structural MR images were obtained from 200 schizophrenic patients and 200 age- and sex-matched healthy control subjects recruited at Taipei Veterans General Hospital, Taiwan. Using the EDNN algorithm, our Al-based web diagnostic system achieves 80% accuracy rate in schizophrenia classification and is capable of predicting a schizophrenia probability for reference. In addition, our system can display subjects’ 3D MRI image with specifically highlighted brain voxels identified by EDNN framework, enabling users to efficiently evaluate the imaging data and to phenotype schizophrenia. The current developing Al-based web diagnostic system makes the EDNN framework really accessible to both scientific and clinical community. Our next step is to extend the applicability of this diagnostic system from schizophrenia to other major psychiatric disorders (e.g. schizoaffective disorder, psychotic bipolar disorder, and Alzheimer’s disease), making it a powerful and practical diagnosis tool in future medical applications.
Enhancing Continuous-Variable Quantum Key Distribution by State Preparation With Shannon-Kotel'nikov Maps

We propose a continuous-variable quantum key distribution protocol that uses Shannon-Kotel'nikov maps for preparing coherent quantum states. Our protocol has similarities with the no-switching protocol in the sense that it requires that both quadratures need to be measured. It is also a Gaussian modulated protocol, because the secret key is to be extracted from Gaussian parameters. The use of this kind of map in the preparation of coherent states allows the increase in the source-to-distortion ratio (SDR) between Alice and Bob, thus making information reconciliation easier. This increase in SDR is due to the use of nonlinear maps of higher dimension instead of simply raising Alice's variance. We analyze here two kind of maps: the uniform Archimedes' spiral and the geodesics on a flat torus. We assess the security of our protocol through simulations. In order to do that, we simulate the optimal feedforward attack together with a maximum-likelihood receiver, then we use Kraskov's first algorithm to estimate the mutual information.
Research on LAK Algorithm for Short Text Topic Detection

In the process of topic detection for short text, the accuracy of topic detection is affected because of the limited length of short text, sparse features and lack of semantics. In this paper, we propose a LAK algorithm for short text topic detection. In the algorithm, the probability distribution of topic-words is obtained by the Latent Dirichlet Allocation model. Moreover, LAK algorithm which combining AGNES (Agglomerative Nesting) and K-means algorithm is chose to cluster the data, in order to compensate for the subjective randomness of K-means algorithm for K-value selection and the ignorance of semantics when calculating feature weights with TF-IDF. The effectiveness of LAK algorithm in topic detection is proved by experiments.
Virtual Acoustics for Concert Advertisement

"Vision Kirchenmusik" is a project group to find new concepts for presenting church music. One of the most recent projects is the concert advertisement and preparation presenting the St. Luke Passion composed by Krzystof Penderecki. This contribution reports on the audio production carried out for a guided inner city walk presenting light art and sound installations. In particular, the binaural synthesis of reverb using Higher Order Ambisonics is discussed.
Adaptive multi-threshold based de-noising filter for medical image applications

Medical image processing is the emerging research area and many researchers contributed to medical image processing by proposing new techniques for medical image enhancement and abnormality detection. Interpretation of medical images is a challenging problem because of the unavoidable noise produced by the medical imaging devices and interference. In this work, a new framework is proposed for noise detection and reduction. This framework comprises two phases. First phase is the noise detection phase which is performed using the newly proposed adaptive multi-threshold scheme (AMT). In second phase, modification of noisy pixel is done using edge preserving median filter (EPM), which conserves the edge component and controls the blurring effect with preservation of fine details of interior region. The proposed work is tested with benchmark images and few medical images. It produces promising result and the results are compared with existing two-stage noise reduction techniques. Popular performance metrics such PSNR and SSIM are used for evaluation. Quantitative analysis and experimental results demonstrate that the proposed method is more efficient and suitable for medical image pre-processing.
THE INFLUENCE OF SEX TOWARD THE COMPREHENSION READING ABILITY OF CLASS V STUDENTS IN THE ELEMENTARY SCHOOL OF PANJER VILLAGE

&lt;p&gt;&lt;em&gt;Reading is a skill needed to get knowledge. To understand the contents of a reading, it is necessary to have comprehension reading ability. Faktors that influence the reading comprehension ability are physiological, intellectual, environmental and psychological faktors. Physiological faktors include physical health, neurological consizderations and sex. The focus of this research is on the influence of sex. This research uses a correlational method in which the populations used are fifth grade students of primary schools in Panjer village, Kebumen district with a sample of 4 classes from 4 elementary schools. The results of this research indicate that female students have better comprehension reading ability than male students.&lt;/em&gt;&lt;/p&gt;
Os produtos de conhecimento dentro das organizações do setor de software: uma nova perspectiva sobre artefatos de software

The Knowledge Management (KM) has become essential for organizations looking to store, encode, retrieve and disseminate knowledge in the environment in which they operate. In the software industry, KM presents itself as a form of management with relevant contribution potential, since this industry produces information on a constant basis. In this way, this information can be consolidated into software artifacts. Such artifacts represent knowledge of a particular software project, as well as a knowledge product. That is because a knowledge product also represents some kind of codified and stored knowledge. Thus, this work aims to analyze software artifacts from the perspective of knowledge products. To this end, a questionnaire was conducted and interviews with ten experienced project managers from the software industry. As a result, it was observed that the software artifacts become knowledge products because they allow reuse and register intellectual capital creating new knowledge and encouraging innovation in the software industry organizations.
PENINGKATAN HASIL BELAJAR TEMA KEGEMARANKU MELALUI MODEL PEMBELAJARAN DISCOVERY LEARNING

The research with classroom action research approach is carried out in collaboration and cycles. It is conducted in class 1A Ciheuleut 2 Elementary School, Bogor Timur with the aims of describing learning outcomes level of success in Tema 2 Kegemaranku, Sub-tema 4 Gemar Membaca Pembelajaran ke 3 through scientific approach by applying discovery learning model. The subjects of this study are a teacher with 31 students in the odd semester 2018/2019 school year. The first cycle result showed that the average value of learning outcomes of the students who achieved completeness is 16 students (48%), while 15 students (32%) have not. Meanwhile, In the second cycle there are 27 students (87%) who achieved completeness, and 4 students (13%) have not yet achieved it yet. In the first cycle learning process, the students changing behavior values were 48% which was considered good enough, and in the second cycle the average score is 80% with good category. From the results of this study it can be concluded that the application of discovery learning in Tema 2 Kegemaranku, Subtema 4 Gemar Membaca, Pembelajaran 3 in class 1A Ciheuleut 2 Elementary School, Bogor Timur improves the changes of students behavior.
Improving ESTA and Implementing the Expert System of Substation Direct Current System Condition Evaluation

It makes possible that it can do basic uncertain inference and directly read/write some table contents of MySQL database with improved ESTA 4.5 (Expert System Shell for Text Animation) based on Visual Prolog 6.3 and Windows, namely adding some uncertain inference functions and some interaction functions with MySQL to the ESTA. It put forward also an uncertain inference method in the ESTA 4.5 based on Visual Prolog 5.2 and Web. It had designed and implemented a condition evaluation expert system of substation DC (Direct Current) system based on the improved ESTA and the enterprise standards (Q/GDW 607-2011) of State Grid. The test shows that the uncertain inference of improved ESTA has feasibility, the interaction with MySQL simplifies some rules of writing and enhances flexibility of it, and the expert system is effective and practical.
Professional self-determination of personality and strategies of student youth

The actual problem of professional self-determination and professional strategies of student youth has been examined. Various approaches to the study of youth selfdetermination have been considered. Typologies of the professional strategies have been adduced. The division of the professional strategies into active and passive helps to describe more accurately the professional self-determination of the individual. The study of this issue will help in the formation and implementation of a competent social policy based on the interest of the younger generation.
Development of Video Compact Disc as Learning Media to Improve Exposition Writing Ability

Exposition writing is needed by high school students.In addition to the learning process, exposition writing is also useful for students' careers in the future.If after graduating from high school, students choose a career as a trader or entrepreneur, their career will be better known if they have the skills to expose the business in writing.This study aims to describe and explain the development of Video Compact Disc (VCD) as media for learning exposition.This research was carried out at 4 high school in Wonogiri, Indonesia.Data collection techniques using interview technique, observation, questionnaire, and documentation.The results of this study indicate that: 1) VCD is needed in the exposition text learning media by students and teachers which contain several exposition texts at once. 2) There are two parts in VCD exposition text learning, namely in terms of shape and content.
DEVELOPING SCREENCAST O MATIC AS MEDIA OF WRITING DESCRIPTIVE TEXT FOR GRADE EIGHTH STUDENTS IN JUNIOR HIGH SCHOOL

This study aims to design Screencast O Matic as media of writing descriptive text for grade eighth students in Junior High School. The research was conducted by Research and Development (R &amp; D) design through six stages; gathering information and data, analyzing the data, designing new writing media, validating to experts, revising writing media, and final product. The subject of this research was grade eighth students at SMP Negeri 27 Medan. The instruments used for collecting the data were interview and questionnaire. The data were gathered by administering interview to the English teacher and distributing questionnaire to 30 respondents to get the students’ needs in learning descriptive text. The writing media have been validated by two experts, English teacher and English lecturer. The average score from English teacher and English lecturer was 90,4% so it was categorized as Very Good. It means the developing Screencast O Matic as media of writing descriptive text is appropriate for grade eighth students in Junior High School. Keywords: Research and Development (R&amp;D), Writing media, Descriptive text, Screencast O Matic
УДОСКОНАЛЕННЯ ПРОФЕСІЙНОЇ ПІДГОТОВКИ МАЙБУТНІХ ІНЖЕНЕРІВ-ПЕДАГОГІВ КОМП’ЮТЕРНОГО ПРОФІЛЮ З ВИКОРИСТАННЯМ ПЛАТФОРМИ ARDUINO

The article discusses some practical aspects of using the Arduino platform in the process of professional training of computer specialists. The analysis of pedagogical literature, scientific research on the problem of introducing information and communication technologies into the educational process and the experience of national and international higher education institutions has shown that the training of future engineers-teachers has not paid enough attention to the use of the Arduino platform in the process of study of computer disciplines.To identify the possible components of the future engineers-teachers’ training content, it was experimentally proved the feasibility of positioning means developing in the coordinate space using Arduino. An online questionnaire was conducted for people with visual impairment (“Google Forms”) and an online questionnaire, which was attended by respondents from the Educational and Production Enterprise of the Ukrainian Society of the Blind in Berdiansk.Among the existing forms of training, laboratory work is selected as a form that maximally brings the learning process closer to practical activity, aims at solving experimental tasks, increasing the interest of students, and contributes to improving the quality of their learning.The practical experience of using the Arduino platform in studying the discipline “Fundamentals of automated design systems” by students of Berdyansk State Pedagogical University is considered on the example of positioning means developing in the coordinate space, which is a continuation of the research within the framework of international cooperation between BSPU and the Honored Autonomous University of Puebla (Mexico). The content of the discipline includes laboratory works: “Connecting the ultrasound range finder to the Arduino board”; “Connecting the audio signal sensor and buttons to the Arduino board”, which are of a research nature, which is part of the research work of the Department of Computer Technologies in Management, Education and Informatics of the Faculty of Physics and Mathematics, Computer and Technological Education of BSPU. For the information provision of the discipline, the methodical recommendations “Using the web simulator Arduino Tinkercad” were developed.