Reviewerly/exHarmony huggingface dataset:
The Political Economy of Capital Flight: Governance Quality and Capital Flight in the East Africa Community

This paper examines the impacts of political economy factors on an illicit capital outflow in the East African Community using robust panel data models.The main findings of the study are as follows: An increase in Gross Domestic Product is a statistically significant variable and reduces an illicit flow of illegal capital outflow from the Community.However, foreign direct investment, total grant and exchange rate statistically significant and aggravate the outflow of capital.This is due to poor governance and economic policies that governments favor foreign investors over local investors.An aggregate index of poor regulatory quality and government ineffectiveness, state fragile index, and the political instability index are statistically significant and positively influence an illicit capital flight from the Community.However, the existed perceived corruption level does not positively contribute to capital flight, but an intensive corruption level positively influences capital flight overtime, bringing a mixed sign of negative and positive depending on the level of corruption that affects capital flight overtime in the Community.The study, therefore, recommends that member countries in the Community need to undertake an effective governance and regulatory qualities, political stability and controlling power of corruption in order to control capital flight.
The Effect of Database Type on Face Recognition Performance for Surveillance Applications

Face recognition is one of the most important biometric approaches due to its potential applications in surveillance monitoring and access control. This paper presents a PCA and SVM based face recognition system for surveillance application. A proposed training database selection criteria suitable for surveillance application which consist of 1 mean image per distance class from all the available database sessions is also used for the face recognition system. In this study, the ChokePoint database, specifically the grayscale (PPG) and colored (MPCI) versions of the ChokePoint database, were selected for this work. The objectives of this work is to investigate the effect of the using different training data as well as using different similarity matching method on face recognition for surveillance application. It was found that regardless of the type of databases used, the recognition output pattern on different training data selection criteria was found to be similar. It was also found that regardless of the similarity matching method used, the face recognition system also shows the same recognition performance pattern. The experiment suggests that the proposed training database selection criteria will give similar recognition performance regardless of databases type or face recognition technique used. Overall, the ChokePoint colour database (MPCI) gives better recognition performance than the ChokePoint grayscale database (PPG). Finally, it can be concluded that using 1 mean image per class from all the available database sessions (Case-6) is better compared to using 1 image per class that are randomly selected from all the database sessions (Case-4). Even though a straight comparison between this work proposed system and several published system is not meaningful as different face recognition approaches and experiment criteria are used, nevertheless, this work proposed method performs with 100% recall and reject recognition rate.
Extraction of a Software Product Line Using Conditional Compilation - An Exploratory Study

Software Product Lines (LPS) is a development approach whose aims is to create a family of software. Despite the increasing interest in software product lines, researches in this area are still very scarce. This hampers broader conclusions about the effective application of principles-based LPS in real systems development. Thus this work describes an experiment involving the extraction of a product line for the TBC-GAAL, educational software developed in Java programming language for teaching Analytic Geometry and Linear Algebra. Using conditional compilation, ten TBC-GAAL features were implemented. The features considered in the experiment were characterized using a set of specific measures for software product lines. Considering the results of this characterization, we highlighted the key challenges involved in extracting features from real software.
Convolutional auto-encoder based multiple description coding network

When data is transmitted over an unreliable channel, the error of the data packet may result in serious degradation.The multiple description coding (MDC) can solve this problem and save transmission costs.In this paper, we propose a deep multiple description coding network (MDCN) to realize efficient image compression.Firstly, our network framework is based on convolutional auto-encoder (CAE), which include multiple description encoder network (MDEN) and multiple description decoder network (MDDN).Secondly, in order to obtain high-quality reconstructed images at low bit rates, the encoding network and decoding network are integrated into an end-to-end compression framework.Thirdly, the multiple description decoder network includes side decoder network and central decoder network.When the decoder receives only one of the two multiple description code streams, side decoder network is used to obtain side reconstructed image of acceptable quality.When two descriptions are received, the high quality reconstructed image is obtained.In addition, instead of quantization with additive uniform noise, and SSIM loss and distance loss combine to train multiple description encoder networks to ensure that they can share structural information.Experimental results show that the proposed framework performs better than traditional multiple description coding methods. .
A novel self-organisation model for improving the performance of permutation coded genetic algorithm

Genetic algorithms (GA) are extremely powerful among evolutionary principles and being used in variety of fields for solving more complex problems. Varieties of assistive techniques have been proposed to improve the performance of genetic algorithms w.r.t. the nature of the application and self-organisation is one such model, which is aimed at improving the performance of the GAs by all means. The self-organisation models enable the systems to acquire and maintain the structure by themselves, without any external control. It is highly evidenced that it gives greater benefits to solve the complex problems with competent efficiency levels in conjunction with the classical GAs. The combined version of SOM and GA has the power of better exploration. In this way, the work reported in this paper proposes an efficient pattern based self-organisation model for improving the performance of the GA for the combinatorial optimisation problem. The competency of the proposed model is demonstrated by means of a set of well-defined experiments over the selected benchmark travelling salesman problem (TSP) instances. The assessments proved the efficiency of the technique in terms of a set of generic performance criteria like convergence rate, convergence time, error rate, nearest neighbour ratio and distinct individuals.
Implemented Stemming Algorithms for Information Retrieval Applications

Now a day's text documents are advancing over internet, e-mails and web pages.As the use of internet is exponentially growing, the need of massive data storage is increasing from time to time.Normally many of the documents contain morphological variables, so stemming which is a preprocessing technique gives a mapping of different morphological variants of words into their base word called the stem.Stemming process is used in information retrieval applications accordingly as a way to improve retrieval performance based on the assumption that terms with the same stem usually have similar meaning.To do stemming operation on bulky documents, we require normally more computation time and power, to cope up with the need to search for a particular word in the data.In this paper, various stemming algorithms are analyzed with the benefits and limitation of the recent stemming methods or approaches.
DEVELOPMENT OF GENERAL CULTURE IN PRESCHOOL TEACHERS BY MEANS OF MULTIMEDIA

Purpose: The paper addresses the topical issues of general culture development in preschool teachers through multimedia. It is revealed the main directions for their professional development and personal enhancement. The article also reveals the possibilities of using interactive technologies in the development of preschool teachers` general culture. They are determined by the constant growth of scientific psychological-pedagogical and professional information scope needed to maintain the required professional and general cultural level of teachers; the variability expansion of education content, methods, and teaching aids (multifunctional technical means) requiring educators to make choices in order to use them effectively; increasing influence on children of uncontrolled information flows coming from mass media and the need to take into account the opportunities of media education in preparing children for life in the information society with new requirements which brings society closer to the teaching profession and is characterized by its involvement in the active pedagogical search. Methods: the theoretical method was used as a basis for the research. Results: developed modern scientific views on the problem in question are analyzed. The article describes the concepts of “computer technology”, “computer as a teaching aid”, “multimedia training tools”. The peculiarities of the use of multimedia technologies as a means of organizing pre-school education professionals` training in postgraduate education are identified. Discussion: the development of general culture in preschool teachers by means of multimedia is a necessary component of their continuing education as well as the systematic formation of information culture.
Sarcasm Detection on Twitter Data: Generative Versus Discriminative Model

Sarcasm is the clever use of words that clearly mean the opposite of what they say, in order to criticize something in a humorous and often rude manner. Sarcasm is usually context-dependent. However, another form of sarcasm which depends on the semantics and structure of the sentence is known as linguistic sarcasm. Our work is an attempt to detecting linguistic sarcasm in tweets. We first use a Natural Language Processing (NLP) approach where we check whether sarcastic and non-sarcastic statements have any differentiating patterns in them. The intuition behind this is that sarcastic statements tend to begin on a positive note and end on a negative one. Next, we perform this task in a more efficient manner by using a powerful machine learning (ML) tool, i.e. a Recurrent Neural Network (RNN). This work majorly focuses on comparing generative and discriminative models for sarcasm detection. As a representation of these models, we are comparing Naïve Bayes and RNN.
Quantum walks as mathematical foundation for quantum gates

It is demonstrated that in gate-based quantum computing architectures quantum walk is a natural mathematical description of quantum gates. It originates from field-matter interaction driving the system, but is not attached to specific qubit designs and can be formulated for very general field-matter interactions. It is shown that, most generally, gates are described by a set of coined quantum walks. Rotating wave and resonant approximations for field-matter interaction simplify the walks, factorizing the coin, and leading to pure continuous time quantum walk description. The walks reside on a graph formed by the Hilbert space of all involved qubits and auxiliary states, if present. Physical interactions between different parts of the system necessary to propagate entanglement through such graph---quantum network---enter via reduction of symmetries in graph edges. Description for several single- and two-qubit gates are given as examples.
Retracted: Research on image sharpening algorithm in weak illumination environment

Owing to low light intensity, the image detector is underexposure, the colour and contrast of scene images will be changed, so it is of great significance to study the image sharpening in a weak illumination environment. In this study, the causes of image blurring are firstly analysed by histogram equalisation (HE) and retinex theory. A method combined HE and multi-scale retinex theory with colour recovery is proposed. The experimental simulation results show that the image processing effect of this algorithm is the most obvious, the local details and dark areas are clearly visible, the colour is rich, and the visual effect is the best, which has a certain practical application value.
Penerapan Multimedia pada Sosialisasi Virus Rubella

Rubella virus is quite significant in Indonesia. This is one of the government's priorities to stop the spread and transfer its distribution solutions. Vaccination is one solution to reduce the spread of the rubella virus. However, the community is still very cloudy with the rubella virus vaccination. Community anxiety about simple information about rubella vaccination is one of the inhibiting factors in reducing the impact of the rubella virus. In this case the role of multimedia technology helps the government in socializing the rubella virus to the public. Using interactive multimedia learning methods. With the presence of multimedia technology it is able to provide a penalty to the public regarding the rubella virus and the vaccination process.
ПРЕДИКТОРЫ ТРУДНОСТИ УСТАНОВЛЕНИЯ ЭПИЗОДОВ СОВМЕСТНОГО ВНИМАНИЯ ДОШКОЛЬНИКАМИ

The article is devoted to a comparative analysis of the deficit of joint attention in a sample of children with different forms of developmental disabilities. The sample consisted of 90 typically developing preschoolers and preschoolers with atypical forms of development. In the experimental situation of the real interaction of the child with an adult and with the help of an IT tracker, it was possible to fix eye movements as a marker of joint attention in real time. The specificity of the functional organization of oculomotor activity as an indicator of the child’s participation in joint attention is highlighted. Markers of impaired reaction to eye contact and destruction of the processes involved in the joint attention are highlighted: the number of fixations, the time of fixation on a relevant and not relevant object. The specifics of the search time in various areas, the subject of interest, the start time of fixations and the duration of fixations on the target objects of interaction as key characteristics of the predictors of establishing episodes of joint attention are analyzed.
История книжной культуры Якутии на всероссийском Байкальском форуме. (Обзор)

The article highlights the content of reports presented at the All-Russian Scientific and Practical Conference Libraries of the Subjects of the Russian Federation: Traditions and New Strategic Initiatives (July 11-13, 2019 in Ulan-Ude). The purpose of the conference was to discuss and comprehend the significance of the National Library of the subject of the Russian Federation in preserving and disseminating the documentary cultural heritage of the peoples of Russia, ways of further developing public libraries as the most important resource for the spiritual development of modern society. The conference was organized by the Ministry of Culture of the Republic of Buryatia, the Ministry of Culture and Spiritual Development of the Republic of Sakha (Yakutia), the National Library of the Republic of Buryatia, the National Library of the Republic of Sakha (Yakutia), the East Siberian State Institute of Culture and the Arctic State Institute of Culture and Arts. The main attention is paid to the analysis of the distribution of the book in Yakutia in 1836-1917 , as one of the leading areas of research activity of the National Library of the Republic of Sakha (Yakutia). The information on the distribution of the book in Yakutia, major implemented projects confirming the status of the National Library as a leading scientific center in the field of book science, library science and bibliography are presented. In addition to the main topic of the report, the library community was acquainted with the history, theory and modern practice of librarianship, the disclosure of funds, the study of book monuments in the region .
Image Visual Description Model

Image captioning is a keen area of interest for many researchers. With the evolution of machine learning and deep learning, different models are being applied to improve the accuracy and time complexity of the model. However, further improvement in terms of accuracy and time complexity is still an open research challenge. This paper’s contribution is twofold. First, we propose an image captioning model (ImgCap) using a VGG16 Convolution Neural Network and Gated Recurrent Unit (GRU) to generate the captions. Next, a similarity metric (SimM) is proposed in order to compare the generated captions with the expected ones. Furthermore, the proposed model is compared with an existing Long Short-Term Memory (LSTM)-based model. We observe that the proposed model outperforms the existing one in terms of both accuracy and time complexity.
Tracing the tensions surrounding understandings of agency and knowledge in technology design

The literature suggests that prevailing understandings of the makeup of design knowledge and agency in producing design knowledge in technology is not helpful for design processes and its practitioners.&#x0D; Tensions arise within processes of designing, when design knowledge is understood as objective, whilst subjectivity is experienced in the research methods employed. In the same time, knowledge production is pursued in an individualist manner, where the situated nature of knowing as an interplay of factors, likely reaching beyond personal traits and human intention, is not acknowledged. In this way, design processes are currently working against their inherent potential with likely effects on designers and subsequently design outcomes. The arising tensions cause issues for practitioners, who are stuck in between an objectivity demand and experienced subjectivity, without an alternative conception of their work. Practice-oriented conceptualisations of social dynamics, how things are, and come to be, as well as existing research in consumption practices and sustainable design, have shown that agency and knowing conceptualised as emerging from practice might reconcile this tension. It is therefore that we argue for a reconceptualization of the makeup of knowledge and agency in knowledge production, so that these advancements in conceptualising practices can be of service to the technology design discipline
[REGULAR PAPER] Alternate Pulse Scheme in a Hardware Neural Network for Reducing the Influence of Asymmetry on Synaptic Weight Updating

Recently, researchers have been paying more attention to hardware neural networks with memory devices acting as synapses due to their small area and low power consumption. We prefer to use a phase-change memory (PCM) device as a synapse due to its excellent synapse-like properties. However, due to the programming mechanism of PCMs, the asymmetric characteristic of the PCM between partially set and partially reset is severe. In this paper, we proposed an alternate pulse scheme (APS) to reduce the influence of the asymmetry between long-term potentiation and long-term depression operations.
Linear Codes Over a Non-Chain Ring and the MacWilliams Identities

This paper is concerned with the linear codes over the non-chain ring R=F <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> [v]/〈v <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</sup> -v〉. First, several weight enumerators over R are defined. Then the MacWilliams identity is obtained, which can establish an important relation respect to the complete weight enumerators. Meanwhile, the symmetric weight enumerators between linear code and its dual over R are established by the Gray map from R <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</sup> to F <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4n</sup> . Finally, several examples are given to illustrate our main results and some open problems are also proposed.
ВЛИЯНИЕ ИНТЕРФЕРЕНЦИИ ПАМЯТИ НА ФОРМИРОВАНИЕ ДВИГАТЕЛЬНОГО НАВЫКА

The article is devoted to the features of the formation of long-term memory and their impact on the training process. The purpose of the study is to determine the effect of interference on the formation of motor skills and to find ways to eliminate its negative impact.Two processes are associated with memory – remembering and forgetting, the necessary information must be remembered, the unnecessary – forgotten. There are a number of factors that contribute to or hamper the process of memorization. One of the factors contributing to forgetting is interference, in translation from Latin interferentis is mutually damaging. Interference is a phenomenon in which a deterioration of stored information occurs under the influence of other information. The phenomenon of interference was repeatedly scientifically confirmed, but has not yet found proper practical application in pedagogy. The meaning of this phenomenon is as follows. If an individual receives two blocks of information in a row and there is no pause between them or it is very short – this leads to forgetting both the first and second blocks (retroactive and proactive interference).In the 21st century, the phenomenon of memory interference found its scientific explanation. It turned out that when performing any action (regardless of whether this action is known or studied), the information enters into short-term memory, and after completion of execution, consolidation takes place – the process of “rewriting” into long-term. Like any other work, this process requires time and energy, and if they are lacking, the information will not be consolidated, in other words, memorized.In order to reduce the influence of interference on the process of consolidation of motor action, it is proposed: 1) when studying a complexly coordinated motor action, at the stage of learning, it is necessary to finish the exercise when receiving a positive result “Stop on victory”, not to make a mistake; 2) when studying several technical actions one after another, during rest, give a pause during which the student does not receive and does not betray any information.
Creative Teachers in Teaching Speaking Performance

Creativity has an important role in teaching process. However, the students’ achievement are not realeased by the role of creative teachers. This study aims at exploring some factors that used by creative teachers in teaching speaking performance. As media and strategies are the crucial factors that used by the teachers to help the students understand the material easily. The qualitative study was applied in this research. The technique of collecting the data was an interview, and questionnaire from the English teachers in five schools in Surabaya. This study found that there were some factors that influenced the creative teachers in teaching speaking performance such as (1) media usage: powerpoint presentation, chunks of familiar pictures, attention-grabbing pictures, music ball, and eye-catching cup as well as some online exercise links; (2) strategies election: by performing ball and cup moving, “boom” counting, guessing game, chained word game and listening comprehension taken from Google translate recording; (3) lesson plan; (4) organize the material. In conclusion, the creative teachers applied some factors in teaching speaking performance to enhancing students speaking performance.