Reviewerly/exHarmony huggingface dataset:
Intercultural Enlightenment Dialogue In The Context Of The Internet And Event-Based Interactions In The Cis Countries

In connection with the revision of ideas about the development of enlightenment activities on the basis of the single worldview, with the weakening of the connection between enlightenment and pedagogical reality, it is important to study the influence of its potential on the dynamics of the educational space of the CIS for mutually beneficial cooperation and good relations. Research questions: Approximation and synchronization of the development processes of different national and regional systems by means of adult education. Designing an intercultural educational dialogue by creating conditions in the CIS for the formation of information Internet networks and real event interactions. As a result of the study the main characteristics of the enlightenment of the Commonwealth countries, the direction of the transformation of its traditional forms are revealed. The specificity of the intercultural educational dialogue within the framework of the humanitarian cooperation of the CIS member states has been explored. It is substantiated that dialogue becomes a factor in the development of the sphere of enlightenment. The results are the basis for designing the modern sphere of enlightenment, developing nonlinearly. The need to take into account the growth of the stability of network (information) links between the participants in the intercultural educational dialogue, the impact on the dialogue dynamics of event interactions are determined.
Perceptually Lossless Surgical Telementoring System Based on Non-Parametric Segmentation

Bandwidth constraint is one of the significant concerns of surgical telementoring, especially in rural areas. High-Efficiency Video Coding (H.265/HEVC) based video compression techniques have shown ...
Research on the three-dimensional segmentation of tissue content based on CT

The proportion of bone, fat, and muscle in the body is depended on the growth status and meat quality of livestock. In order to extract and measure the proportion of each tissue directly from living body, this paper proposes a framework of tissue segmentation and measurement based on CT images. This framework is mainly composed of bone extraction methods based on level set, visceral culling, muscle and fat segmentation based on threshold segmentation methods. It can accurately exclude internal organs, exactly segment and detect bones, fats, muscle tissue, and obtain the weight and proportion of bones, fats and muscle in the body. Through experiments and tests in real data sets, and comparison with anatomical data, the results prove that the proposed framework has high theoretical and practical value.
Modulation Recognition based on Wavelet Transform and Fractal Theory

With the rapid development of communication technology, digital signal processing and other technologies, wireless communication environment is becoming more and more complex.Communication signals with different frequencies and modulated modes are usually scattered over a wide frequency band.In this paper, an improved algorithm based on wavelet transform and fractal theory is proposed.To improve the traditional fractal theory, wavelet transform is applied to the modulation signal, and then four fractal dimensions (Fractal box dimension, Petrosian fractal dimension, Katz fractal dimension and Sevcik fractal dimension) are used to extract the features.Through the simulation of the six modulation signals generated by Matlab, it can be seen that the recognition rate of the proposed method reaches 90% at the SNR of 2dB.Moreover, by comparing the method of this paper with the short-time Fourier transform and the fractional Fourier transform, we can find that the recognition rate of this method is 3% ~ 10% higher than the two comparison methods.It can be seen that the proposed method can effectively identify different signals in the case of low SNR.
The Use of Relational Databases in Epigraphy: A Case Study

The study of an abundant number of inscriptions leads to the conception of schemas and forms that can be organized into databases. This procedure allows us to arrange information with precision and to draw data and create connections between them in short time. For this reason, the relational database model has proved to be a valid support, as it makes possible to arrange data and information logically according to pre-established constraints and relationships, reducing errors and repetitions. The aim of this paper is to present an example of the use of a relational database created to catalogue inscriptions and point out positive aspects and difficulties found out during the process. The complexity of this method is mostly related to making choices about entities and identifying relationships between them; another obstacle is connected to the complexity of inscriptions as group of words and formulae. Nevertheless, the relational database allows the researcher to mix up data and information and create new relations between them using SQL operators. The software used for the case study that will be present in this paper is an open source administration and platform pgAdmin (for PostgreSQL).
A Hybrid Model of 1-D Signal Adaptive Filter Based on the Complex Use of Huang Transform and Wavelet Analysis

The paper presents the results of the research concerning the development of the hybrid model of 1-D signal adaptive filter based on the complex use of both the empirical mode decomposition and the wavelet analysis.Implementation of the proposed model involves three stages.Firstly, the initial signal is decomposed to the empirical modes by the Huang transform with allocation the components, which contain the noise.Then the wavelet filtering is performed to remove the noise component.The optimal parameters of the wavelet filter are determined based on the minimal value of ratio of Shannon entropy for the filtered data and the allocated noise component and these parameters are determined depending on type of the studied component of the signal.Finally, the signal is reconstructed with the use of the processed modes.The results of the simulation with the use of the test data have shown higher effectiveness of the proposed method in comparison with standard method of the signal denoising based on wavelet analysis.
Educational technologies of new pedagogical system

The article is concerned with the problem of information and education system development as a new pedagogical system. The significance of the problem is conditioned by the mounting needs of developing digital economy and inner demand of the individual receiving higher education. The category of «information and education system» was studied and its major characteristic features were revealed; a general definition of the category in focus was formulated. A set of modified pedagogical technologies based on the information and communication technologies’ potential was researched with the purpose to identify its effectiveness on the realization of the «information and education system» as one of the pedagogical conditions. According the author of the article a set of modified pedagogical technologies should include: project based learning technology based on interactive methods of teaching, technology of contextual education, modular technology and proactive teaching technology. The basic principles uniting all chosen technologies are the principle of activity, selfsufficiency, creativity and productivity.
Using App Inventor as Tool for Creating Mathematics Applications for Mobile Devices with Android OS

People are programming on their personal computers since the 1980s, but today's mobile applications are making computing as “personal” as never before. Never in the history of the use of technology in education has there been a technology so widely available to citizens as mobile technology. According to this trend, we are moving into a new era of consuming information via mobile computing, one that promises greater variety in applications, highly improved usability, and networking. Our consuming information culture gives us all sorts of opportunities for entertainment, even learning using high-tech devices, which are considered to be black boxes to most of us, because only few people can create applications. Even though, more and more students are interested in developing their own mobile applications. In this context, we present our experience with App Inventor - a user friendly platform and drag-and-drop block language to create Android apps. The present paper is an intro to the creation process for an applied mathematics app, started 4 years ago, corresponding to the requirements of our classroom consuming information culture.
Argument alternations in complex predicates: an LFG+glue perspective

Vaidya et al. (2019) discuss argument alternations in Hindi complex predicates, and propose an analysis within an LTAG framework, comparing this with an LFG analysis of complex predicates. In this paper I clarify the inadequacies in existing LFG analyses of complex predicates, and show how the LFG+glue approach proposed by Lowe (2015) can both address these inadequacies and provide a relatively simple treatment of the phenomena discussed by Vaidya et al. (2019).
Blood Transfusion Information System Design for Blood Transfusion Services Unit

Information Systems Development as an information provider, both for the users and outsiders, becomes very important at this time. Through a good data management, it can minimize the need for human labor that is currently being replaced by computers. This paper will discuss a design for a blood transfusion information system because there are several issues found in the Blood Transfusion Service Unit (UPTD), some of which are donor data recording at the Blood Transfusion Service Unit which still use manual recording with a book, donors data stored in the book is not well organized, and there are blood donors who do not obey the blood donor regulation, reminder for blood donor level is 70 days and the screening result. This design can do managements which are needed when people want to donor their blood. The database in this system was designed using S-Designor, while the model design was designed using Rational Rose.
Question and Answer Classification in Czech Question Answering Benchmark Dataset

In this paper, we introduce a new updated version of the CzechQuestion Answering database SQAD v2.1 (Simple QuestionAnswering Database) with the update being devoted to improvedquestion and answer classification. The SQAD v2.1 databasecontains more than 8,500 question-answer pairs with allappropriate metadata for QA training and evaluation. We presentthe details and changes in the database structure as well as anew algorithm for detecting the question type and the actualanswer type from the text of the question. The algorithm isevaluated with more than 4,000 question answer pairs reachingthe F1-measure of 88% for question typed and 85% for answertype detection.
Symbolic Interaction of The Deaf Students in Public School

&lt;em&gt;This study aims to know how symbolic interaction process happens to the deaf students who study in SD Maranatha 01 public school. Communication built by the deaf students to the teachers and other students who have good hearing will influence the changing of meaning and behavior. That's why the author is interested to analyze the symbolic interaction of the deaf students in public school, how the role of the teachers and other students in dealing with the deaf students to take their action and to adapt themselves in public school. The research method used in this study is descriptive qualitative conducted using observation, and interview techniques. The foundation used in this study is the theory of Symbolic Interactionism of George Herbert Mead. The conclusion of this research is; the behavior and symbolic formation happening to the deaf students of SD Maranatha 01 are influenced by the social process.&lt;/em&gt;
Collaboration System Design of the Transportation Platform

In order to reduce the labor intensity of workers in automatic production lines handling material, an Automated Guided Vehicle collaboration system (AGV) is designed in this paper.On the basis of analyzing the differential steering principle, the control strategy of the AGV tracking and the automatic tracking control are designed based on the fuzzy algorithm and PID algorithm respectively, so as to realize the control of PC for the transport of goods.Additionally, the PC control software is specially designed for the system.This system is tested on the simulation and experiment environment and the results show that the AGV has the advantages of high guidance precision, following stability and high reliability.The fleet operation can effectively improve the work efficiency and reduce labor costs.
Specification of methods and the semantics of method-oriented adverbs

Method-oriented adverbs have received comparatively little attention in the semantic literature on adverbs. I shed light on their semantics. These adverbs relate an event from the lexical semantics of their underlying adjective to the matrix event, and do so in a way similar to that of instruments. I use independently motivated event structure decompositions to model the interaction of adverb and verb. This study broadens our understanding of the semantics of adverbs, and how adverbial modifiers interact with the event structure of the verbs they modify.
SPARK by Example

This paper presents SPARK by Example [10], a guide for people wanting to get involved in formal verification of SPARK programs. SPARK by Example is inspired by ACSL by Example, a similar effort for C/ACSL programs, and provides detailed specification, implementation and proof of classic algorithms (array manipulation, sorting, heap etc). A comparison between ACSL and SPARK is done in the light of proof performance and ease of use.
Cluster approach in the organization of the vocational guidance

The paper analyzes the concepts «vocational orientation» and «professional self-determination» from subject-object relations. The subjects of vocational guidance are various social institutions such as school, family, state. In the case of professional self-determination, the researcher is interested in the personality of the individual who has to solve a personally significant problem. From the author`s point of view, the cluster approach to the organization of the vocational guidance system allows to coordinate the joint actions of subjects and objects of vocational guidance to achieve the best result.
What’s in the Box? Assessing the potential usability of four decades of thesis and dissertation supplementary files

<p id="x-x-x-x-x-x-x-x-x-x-x-x-x-docs-internal-guid-31d15d2e-1c4e-6e32-8ece-45a336f6f2a4"><strong>Objectives</strong>: The objective of this study is to evaluate the quality and usability of supplementary data files deposited, between 1971 and 2015, to our university institutional repository. Understanding the extent to which content historically deposited in digital repositories is usable by today’s researchers can help inform digital preservation and documentation practices for researchers today. <strong>Methods</strong>: I identified all graduate level theses and dissertations (GTDs) in the institutional repository with multiple files as a first pass at identifying documents that included supplementary data files. These GTDs were then individually examined, removing supplementary files that were artifacts of either the upload or digitization process. The remaining “true” supplementary files were then individually opened and evaluated following elements of the DATA rubric of Van Tuyl and Whitmire (2016). <strong>Results</strong>: Supplementary files were discovered in the repository dating back to 1971 in 116 GTD submissions totalling more than 25,000 files. Most GTD submissions included fewer than 30 files, though some submissions included thousands of individual data files. The most common file types submitted include imagery, tabular data, and databases, with a very large number of unknown file types. Overall, levels of documentation were poor while actionability of datasets was generally middling. <strong>Conclusions</strong>: The results presented in this study suggest that legacy data submitted to our institutional repository with GTDs is generally in poor shape with respect to Transparency and somewhat less so for Actionability. It is clear from this study and others that researchers have a long road ahead when it comes to sharing data in a way that makes it potentially useable by other researchers.
An End-to-End Image Dehazing Method Based on Deep Learning

Image dehazing is a classic problem in computer vision. Most traditional methods use human-engineered features, such as dark channel prior, for dehazing. Recently, deep learning based approaches have been developed to solve this problem, but most of them are not end-to-end. In this paper, we propose an end-to-end learning method. This network consists of three parts to, respectively, estimate the transmission map, predict the global atmospheric light, and perform dehazing based on the estimated parameters. In order to train this network, we use Virtual KITTI dataset and NYU depth dataset to synthesize a training set composed of haze images and their corresponding transmission maps and global atmospheric light. Experiments demonstrate that our approach can obtain good performance on both synthetic and real haze images; moreover, the dehazed images have natural color and light contrast.
The detection of non-polypoid colorectal lesions using the texture feature extracted from intact colon wall: a pilot study

The detection of non-polypoid colorectal lesions (e.g., the flat and small sessile polyps) is still a challenging task for the computer-aided detection (CADe) method. Different from previous CADe method, we proposed a new scheme to detect the lesion using the texture feature extracted from intact colon wall, since texture feature is sensitivity to detect subtle lesion and all the available information of the lesion imbeds in the colon wall. In this scheme, the inner and outer wall surface were segmented. Then, for each voxel of inner surface, a fixed size neighborhood was projected onto the colon model and the intersection volume of the projection through the colon model was selected as the volume of interest (VOI). From each VOI, three images were obtained: the original CT intensity and its gradient and curvature maps, Gray-scale co-occurrence matrices (CMs) were calculated from these 3 volumetric images, respectively. A total of 196 texture features (60 Haralick features and 6 CT histogram features extracted from each CM) were used to detect initial polyp candidates by a piecewise anomaly detection method of isolation forest, followed by a supervised classification (random Forests) for false positive (FP) reduction. The detection performance was evaluated by a 10-fold cross-validation and free-response receiver operating characteristics analysis. We evaluated our method via 10 patients with 36 confirmed flat and small sessile polyps were collected, including 16 flat, 18 sessile, and 2 pedunculated polyps. The presented detection method achieved 80% sensitivity with 9.98 FPs per dataset. The experiment results demonstrate that our method is a potential way to detect nonpolypoid polyps, particularly flat and depressed ones.
EVALUASI INFRASTRUKTUR TEKNOLOGI INFORMASI DENGAN COBIT 5 DAN ITIL V3

Information technology (IT) reinforces an organization.Bogor Agricultural University is an organization of higher education.IPB has already had an information system that consists of 36 applications.Adequate infrastructure is one of the keys to successfully getting good performance and IT services.Infrastructure needs can be fulfilled with an evaluation of IT governance.This study aims to evaluate the governance of IT using the maturity level of IT governance measurement, COBIT 5 framework and satisfaction with IT services using servqual models.IT maturity level was used to 13 processes in COBIT, namely: EDM04, APO01, APO07, APO12, APO13, BAI04, BAI06, BAI09, BAI10, DSS01, DSS03, DSS05, and MEA01.User satisfaction level was seen from four dimensions: tangibles, reliability, responsiveness, and assurance.The results of this study are: 2 processes of the IT governance maturity level are at level 0, 8 processes at level 1, and 3 processes at level 2. The level of user satisfaction with the IT services is below the expected value.The results were analyzed using the SWOT matrix to look at strengths, weaknesses, opportunities and threats.Then recommendations were made based on ITIL V3 2011.
ANALISIS IDENTIFIKASI WAJAH MENGGUNAKAN GABOR FILTER DAN SKIN MODEL

Abstract - Identification of faces in digital images is a complex process and requires a combination of various methods. The complexity of facial identification is increasing along with the increasing need for high accuracy of facial images. This research analyzes the combination of Skin Color Model and Gabor Filters in the process of identifying facial identities in digital images. The Skin Color Model method is used to separate the face area from facial images based on skin color values on facial images. The face area is then extracted using Gabor Filter. This research resulted in the highest accuracy was 93.6349%. and the lowest accuracy is around 82.45%. The implementation of a combination of Skin Color Models and Gabor Filters can be an alternative method of identifying faces in digital images. Keywords - Digital Image, Face Identification, Skin Color Model, Gabor Filter.
Differentiation of polyps by clinical colonoscopy via integrated color information, image derivatives and machine learning

Clinical colonoscopy is currently the gold standard for polyp detection and resection. Both white light images (WLI) and narrow band images (NBI) could be obtained by the fibro-colonoscope from the same patient and currently used as a diagnosing reference for differentiation of hyperplastic polyps from adenomas. In this paper, we investigate the performance of WLI and NBI in different color spaces for polyp classification. A Haralick model with 30 co-occurrence matrix features is used in our experiments on 74 polyps, including 19 hyperplastic polyps and 55 adenomatous ones. The features are extracted from different color channels in each of three color spaces (RGB, HSV, chromaticity) and different derivative (intensity, gradient and curvature) images. The features from each derivative image in each color space are classified. The classification results from all the color spaces and all the derive images are input to a greedy machine learning program to verify the necessity of the integration of derivative image data and different color spaces. The feature classification and machine learning are implemented by the use of the Random Forest package. The wellknown area under the receiver operating characteristics curve is calculated to quantify the performances. The experiments validated the advantage of using the integration of the three derivatives of WLI and NBI and the three different color spaces for polyp classification.