Reviewerly/exHarmony huggingface dataset:
An Improved Separable and Reversible Steganography in Encrypted Grayscale Images

Reversible data hiding in encrypted images (RDH-EI) has attracted various communities that deal with security. Xiao et al. presented RDH-EI that uses pixel value ordering (PVO) and additive homomorphism for encryption ensuring that the embedding capacity of plain and encrypted image remains relatively same. However, the size of location map required to manage over/under flow blocks increased drastically reducing the overall embedding capacity. In the paper, a new PVO-based separable RDH scheme is proposed using double encryption. The original image is encrypted using chaotic mapping in Phase 1, ensuring that the performance of PVO algorithm in an encrypted domain is similar to that in plain domain. Secret data is embedded in this encrypted image. The embedded image is re-encrypted using additive homomorphism to enhance security. The proposed scheme is more efficient as it improves the pure embedding rate and total embedding capacity of the image by reducing location map size, overcoming the drawback of Xiao et al.
CNN-based Cardiac Motion Extraction to Generate Deformable Geometric Left Ventricle Myocardial Models from Cine MRI

Patient-specific left ventricle (LV) myocardial models have the potential to be used in a variety of clinical scenarios for improved diagnosis and treatment plans. Cine cardiac magnetic resonance (MR) imaging provides high resolution images to reconstruct patient-specific geometric models of the LV myocardium. With the advent of deep learning, accurate segmentation of cardiac chambers from cine cardiac MR images and unsupervised learning for image registration for cardiac motion estimation on a large number of image datasets is attainable. Here, we propose a deep leaning-based framework for the development of patient-specific geometric models of LV myocardium from cine cardiac MR images, using the Automated Cardiac Diagnosis Challenge (ACDC) dataset. We use the deformation field estimated from the VoxelMorph-based convolutional neural network (CNN) to propagate the isosurface mesh and volume mesh of the end-diastole (ED) frame to the subsequent frames of the cardiac cycle. We assess the CNN-based propagated models against segmented models at each cardiac phase, as well as models propagated using another traditional nonrigid image registration technique.
THE EFFECT OF MAKING SUMMARY ON STUDENTS’ WRITING ACHIEVEMENT OF OF THE STUDENTS OF SMA SWASTA MELATI BINJAI

This research aims to know the effectiveness of making summaries in student achievement in writing and to find out if making a summary is able to improve student performance in writing in the grade ten students private high school Melati Binjai 2017/ 2018. In this study, apply the creation summary as an independent variable (X) and student learning achievement in writing as a dependent variable (Y), with hypotheses: there is a significant influence of the implementation of making summaries on achievements Students in writing in grade ten students from 2017/2018 grade ten from private SMA Melati Binjai. The population of this research is the XI-grade private high school student Melati Binjai in 2017/1988 consisting of 30 students. Samples taken using all sampling, the total sample is 30 students. Authors use tests as data collection instruments. Data is analyzed by using the test-t formula. Based on data analysis, it was found that the value T-observed (to) higher than the T-table value, (tobserved = 23.2 &gt; Ttable = 2.04). Therefore, hypotheses submitted by the author are accepted. In other words, there is a significant influence of the implementation of making summaries on student achievement in writing.
Reciprocity in Czech Light Verb Constructions: The Dependency Perspective

Abstract In this paper, we draw attention to reciprocity in Czech light verb constructions – a language phenomenon, which has not been discussed yet. Reciprocity is contributed to light verb constructions by predictive nouns, as they are the nouns that represent the semantic core of these constructions. Here we focus on reciprocal light verb constructions derived by the syntactic operation of reciprocalization. We show that the complex mapping of semantic participants onto valency complementations, characteristic of reciprocalization, is reflected in reciprocal light verb constructions in the same way as in reciprocal nominal constructions. The main difference between reciprocal nominal constructions and reciprocal light verb constructions lies in the morphosyntactic expression of reciprocalized participants. We demonstrate that surface syntactic changes in reciprocal light verb constructions are regular enough to be described on the rule basis: the rule based generation of reciprocal light verb constructions requires a cooperation of two sets of rules – rules for deep and surface syntactic structure formation of light verb constructions and rules for capturing reciprocity.
The Transitional Dynamic of Finance Led Growth

We depart from the empirical literature on testing the finance led growth. Instead of regression analysis, we use a semi-endogenous growth model, which identifies two productivity growth paths: a steady state and a transitional path. Steady state growth is anchored by population growth. In the transitional dynamic, productivity growth depends on the typical factors growth rates, and excess knowledge, which is the deviation of TFP in the financial sector from steady state growth. TFP is endogenous. It is an increasing function of global research efforts, which is driven by the proportion of population in developed countries that is engaged in research in finance, and the stock of human capital. We find positive evidence for this theory of TFP in the data of ten developed European countries and the United States. We also found some evidence for finance-led-growth, albeit weaker after the past Global Financial Crisis.
An Analysis of Politeness Strategies Used by Male and Female Teachers in EFL Classes in SMP Negeri 4 Kuta Selatan

This study aimed at investigating teachers’ politeness strategies in two teacher’s role which is male and female teacher in EFL classes of the eighth grade students in SMPN 4 Kuta Selatan. The objects of this descriptive qualitative research were utterances delivered by male and female teachers in the classroom activities. This study aimed at finding out (1) describing the types of politeness strategies are used by male English teacher at grade eight of SMPN 4 Kuta Selatan. (2) describing the types of politeness strategies are used by female English teacher (3) explaining the differences in the used of politeness strategies between male and female English teachers. The data were taken from the conversations of the teaching and learning process in the classroom through observation and interviews. The data were gained by observing and video-recording of conversation in classroom discussion and analyzed using politeness strategies by Brown &amp; Levinson (1987). It was found that the differences strategies used by male and female teacher, the male teacher mostly used bald on record has the highest occurrence (175 times) (16.29%) expressions, while the female teacher mostly used positive politeness (257 times) (23.93%) expressions.
Mutually-Constrained Monotonic Multihead Attention for Online ASR

Despite the feature of real-time decoding, Monotonic Multihead Attention (MMA) shows comparable performance to the state-of-the-art offline methods in machine translation and automatic speech recognition (ASR) tasks. However, the latency of MMA is still a major issue in ASR and should be combined with a technique that can reduce the test latency at inference time, such as head-synchronous beam search decoding, which forces all non-activated heads to activate after a small fixed delay from the first head activation. In this paper, we remove the discrepancy between training and test phases by considering, in the training of MMA, the interactions across multiple heads that will occur in the test time. Specifically, we derive the expected alignments from monotonic attention by considering the boundaries of other heads and reflect them in the learning process. We validate our proposed method on the two standard benchmark datasets for ASR and show that our approach, MMA with the mutually-constrained heads from the training stage, provides better performance than baselines.
Determinants of Private Investment Growth in Manufacturing Sectors: The Case of Akaki Kaliti Sub City, Addis Ababa

Private manufacturing investment contributes to the economic growth and the ability of a country to reduce or alleviate poverty and improve the lives of its citizens. This study was conducted to identify the determinants of Private Investment Growth in manufacturing sectors in case of Akaki Kaliti Sub-city, Addis Ababa. The study employed an explanatory research design with quantitative and qualitative research approaches. Furthermore, the data was collected with a cross-sectional period. The required data were collected from 168 selected private manufacturing investments by adopting a systematic sampling technique. The data collected through a questionnaire were analyzed by using Stata software version 13. The collected data was analyzed using both descriptive and inferential statistics. The findings of the quantitative data were presented in tables and figures, while the qualitative data was presented in narration. The findings of the study showed that work experience and availability of premises affect the private manufacturing sectors investment growth positively. Likewise, the availability of infrastructure facilities was important determining factors in delaying private investment growth. Shortages of materials and services such as transformers, internet facilities, and water supplies have been cited as the major obstacles which delay the investment growth in the study area. In conclusion, the main determinant of Private Investment Growth in manufacturing sectors were working experience, premises, infrastructure, location of enterprise, planning, good governance, market access, and investment incentives. Therefore, the study recommends that Addis Ababa city administration in collaboration with other stakeholders should give training to private manufacturing sectors and facilitate knowledge share program among each other. Likewise, Addis Ababa city administration in collaboration with trade and industry office needs to involve effectively in supporting private manufacturing sectors by offering convenient display room, selling premises, and creating market linkage with unions, cooperatives, government organizations, and non-government organizations. Keywords : Private Investment, Manufacturing sectors, Growth DOI: 10.7176/DCS/11-3-01 Publication date: March 31 st 2021
Attainment of Sustainable Business Productivity through Economic Governance and Management in Nigeria

This study was carried out to ascertain if economic governance and management brings about the attainment of sustainable business productivity in Nigeria.In this study, economic governance and management was utilized as the explained variable, while the various indicator variables of economic governance and management such as: Macroeconomic Policies, Transparent, predictable and credible state economic policies, Sound Public Finance Management, Corruption and Money Laundering and Integration Policies were used as the explanatory variables.The research design used in this study was the cross-sectional survey design, associated with the deductive approach used for descriptive research purpose, which was used to model the impact of economic governance and management on sustainable business productivity in Nigeria.The findings elicited from this study revealed that economic governance and management was significant and played a key role in allowing businesses in Nigeria attain sustainable productivity within the scope of this study.
A Study on the Design of an Efficient Audit Model in the Area of Information System Testing Activities

In the case of an agile-based project, it was inadequate to perform a comprehensive inspection and evaluation on the establishment and operation of an information system by performing audit only with the audit and inspection elements provided by the existing information system audit and inspection system. In particular, in the case of the test activity area, it was necessary to improve the test activity audit check items to comprehensively check the agile-based development process by applying the existing audit system. To this end, a test activity check model of the agile methodology audit model was presented by applying the repetition concept, a characteristic of the agile methodology. In order to empirically verify the model of this study, a survey was conducted for auditors and designers/developers who have experience in performing agile-based projects and auditing information systems. As a result of the questionnaire on the test and system test in the test stage, more than 70% of the respondents were found to be suitable. More than 80% of the respondents judged that it was appropriate as a result of the questionnaire on improvement and regression test progress according to test and system test results and integrated test and functional actions of components and subsystems.
NEW PROBLEMS AND APPROACHES TO THE EVALUATION OF LEARNING OUTCOMES BY COMBINING TRADITIONAL AND DISTANCE MODES OF WORK IN SCHOOL GEOGRAPHY

Цель исследования - разработка методических рекомендаций для оценивания результатов обучения в режиме «онлайн-офлайн» (на примере школьной географии). Новизна исследования заключается в выявлении новых проблем оценивания при активном использовании дистанционных и традиционных форм обучения. The purpose of the study is to develop guidelines for assessing learning outcomes online-offline (using the example of school geography). The novelty of the research lies in the identification of new assessment problems with the active use of distance and traditional forms of education.
Study on Establishing Competency Profile Standard of Teacher Librarian in Optimizing the Use of ICT in Secondary Level School Library

Teacher librarians are expected to have good skills in using information and communication technology (ICT) so that they can assist both students and teachers in finding the information they need. The aim of this study was to establish the competency profile standard of teacher librarians using ICT at the secondary level. More specifically, this study would like to find out the competency profile of teacher librarians, the optimization of the use of ICT by teacher librarians, and the competency standard required in using ICT for teacher librarians in secondary level. This study used qualitative approach with survey method and the data was collected through interview and observation. The general conclusion is that the library administrators/teacher librarians in the schools presented in this research always met and enhanced the competencies that supported their daily tasks in the library and in their field of study by trying to take advantage of hardware utilization to improve the library service to the users. Specifically, this study shows that library administrators/teacher librarians are the subject teachers who receive additional tasks to manage the library; have a willingness to study and make innovations in the library; and try to have information, media and technology literacy skills, as well as the ability to enliven the life and career related to their fields. The competency standard of the majority of library administrators/teacher librarians in using ICT is considered good, they show good attitude, knowledges and skills but are often hampered by the lack of infrastructure, budget, and practice training to apply ICT in the school library. This research recommends that library administrators/teacher librarians should have functional status as librarians, not educative function as subject teachers.
SEARCHING FOR WAYS OF PROFESSIONAL SELF-DETERMINATION OF STUDENTS WHEN INTERACTING WITH A PEDAGOGICAL UNIVERSITY

The article reveals the problem of professional self-determination of students in the conditions of network interaction with a pedagogical university when implementing the specialised training in accordance with the requirements of the State Educational Standard of Secondary General Education. The article presents the system of work of summer schools, specialised schools, Academies for children, which are complementary to the training profiles implemented in partner schools (technological, natural-scientific, humanitarian, socio– economic, universal). The article analyses the system of professional self-determination of students, implemented at the Ulyanovsk State Pedagogical University named after I.N. Ulyanov, in the context of network interaction with partner schools of the distributed lyceum. Monitoring procedures for identifying and evaluating the effectiveness of the network interaction of partner schools of the distributed lyceum within the framework of the project became the research methods. The planned result is a positive dynamics of graduates of specialised classes of partner schools of the distributed lyceum, who have decided to become future teachers.
GPIS: Tool to assess internal processes and projects based on ISO/IEC 29110

Nowadays, very small entities are very important in the software product and service development sector. Therefore, it is necessary to implement models and / or standards that allow obtaining a certification in this type of company. For this, a standard has been created, such as the ISO/IEC 29110 standard. However, as in medium-sized or large companies, very small entities face problems such as lack of knowledge, trained personnel and experience in the implementation of this type of norms. Therefore, this article proposes the GPIS tool that allows evaluating the processes based on the ISO / IEC 29110 standard and the project to be presented for a future certification. To validate the GPIS tool, it was implemented in an Academic Software Development Center (CDS) prior to starting a certification process in the ISO/IEC 29110 standard. After the implementation of GPIS the certification of the standard ISO / IEC 29110 was obtained.
Swarm Optimization of Multiple UAV’s for Resource Allocation in Humanitarian Aid and Disaster Relief Operations

This paper presents a solution for Humanitarian Aid and Disaster Relief (HADR) using a swarm of UAV’s which are capable of mapping the affected area and spotting human and livestock in the disaster stuck area. It will send the surveyed information to the ground station and relief packages can be dropped at specific locations. The swarm consists of hybrid VTOL UAV’s capable of vertical take-off and landing in rough terrain, in the absence of a landing strip. The flight time achieved is greater than an hour with a range of 50 km, which is unattainable with a conventional multirotor. The automated operation is implemented by pre-programming the system with a framework specific to the application. A learning network can be implemented to allow for better efficiency of system in multiple disaster scenarios. Flight stabilization is done with the help of a system of redundant IMU sensors computed on an on-board computer. The UAS is capable of localization and navigating in GPS enabled environments as well as, GPS denied environments with the help of a GPS, compass and inertial navigation fused with Visual Odometry. We use PSO to implement the swarm UAV’s, it is required to mitigate mid-air collisions between UAV’s in airspace and allocate work among them.
Revisiting Indirect Ontology Alignment : New Challenging Issues in Cross-Lingual Context

Ontology alignment process is overwhelmingly cited in Knowledge Engineering as a key mechanism aimed at bypassing heterogeneity and reconciling various data sources, represented by ontologies, i.e., the the Semantic Web cornerstone. In such infrastructures and environments, it is inconceivable to assume that all ontologies covering a particular domain of knowledge are aligned in pairs. Moreover, the high performance of alignment approaches is closely related to two factors, i.e., time consumption and machine resource limitations. Thus, good quality alignments are valuable and it would be appropriate to exploit them. Based on this observation, this article introduces a new method of indirect alignment of ontologies in a cross-lingual context. Indeed, the proposed method deals with alignments of multilingual ontologies and implements an indirect ontology alignment strategy based on a composition and reuse of effective direct alignments. The trigger of the proposed method process is based on alignment algebra which governs the semantics composition of relationships and confidence values. The obtained results, after a thorough and detailed experiment are very encouraging and highlight many positive aspects about the new proposed method.
Pengukuran Tingkat Kapabilitas Tata Kelola Teknologi Informasi Menggunakan Framework Cobit 5 dan Rekomendasi Perbaikan (Studi Kasus: Badan Pengembangan Teknologi Informasi)

This study aims to measure the level of IT Governance capability and provide recommendations for improving IT Governance in Information Technology Development Institute using COBIT 5. The domains chosen in this research are APO and BAI in order to improve IT services and optimize IT implementation in BPTI environment. The research method used are interviews and questionnaires in obtaining research data. Based on the results of the study, it was found that the measurement of the eight selected processes indicated that most of the processes were already at level 1, and a few were at level 0. Based on the results of prioritization, the process that became the top priority in making improvements was APO07, namely Managing Human Resources. This research was only carried out in eight processes which were in accordance with previously mapped, so that this research was more complete and comprehensive, it could be carried out using other process areas in COBIT 5.
AUTHOMATED METHOD FOR DESIGNING FUZZY SYSTEMS

The paper presents a method for building fuzzy systems using the input-output data that can be obtained from examples. Using this method, a rule-based system is created, where fuzzy logic depends on the opinions and preferences of decision-makers involved in the process. Some advantages of the proposed method are high-lighted. We have provided a practical example to illustrate the application of the process.
Mining Class Association Rules on Dataset with Missing Data

Many real-world datasets contain missing values, affecting the efficiency of many classification algorithms. However, this is an unavoidable error due to many reasons such as network problems, physical devices, etc. Some classification algorithms cannot work properly with incomplete dataset. Therefore, it is crucial to handle missing values. Imputation methods have been proven to be effective in handling missing data, thus, significantly improve classification accuracy. There are two types of imputation methods. Both have their pros and cons. Single imputation can lead to low accuracy while multiple imputation is time-consuming. One high-accuracy algorithm proposed in this paper is called Classification based on Association Rules (CARs). Classification based on CARs has been proven to yield higher accuracy compared to others. However, there is no investigation on how to mine CARs with incomplete datasets. The goal of this work is to develop an effective imputation method for mining CARs on incomplete datasets. To show the impact of each imputation method, two cases of imputation will be applied and compared in experiments.
USE OF 3D PRINTS FOR TEACHING SPECIALIZED SUBJECTS

M. Polorecká1, K. Petrlová2, K. Hollá1 1University of Žilina (SLOVAKIA) 2Mathematical Institute in Opava, Silesian University in Opava (CZECH REPUBLIC)