Reviewerly/exHarmony huggingface dataset:
Language Technology Programme for Icelandic 2019-2023

In this paper, we describe a new national language technology programme for Icelandic. The programme, which spans a period of five years, aims at making Icelandic usable in communication and interactions in the digital world, by developing accessible, open-source language resources and software. The research and development work within the programme is carried out by a consortium of universities, institutions, and private companies, with a strong emphasis on cooperation between academia and industries. Five core projects will be the main content of the programme: language resources, speech recognition, speech synthesis, machine translation, and spell and grammar checking. We also describe other national language technology programmes and give an overview over the history of language technology in Iceland.
LibGuides: Library FAQ Video Guide: Finding

Training videos on various library and research-related topics, such as online resources, textbook rentals, and citations.
A level set representation method for N-dimensional convex shape and applications

In this work, we present a new efficient method for convex shape representation, which is regardless of the dimension of the concerned objects, using level-set approaches. Convexity prior is very useful for object completion in computer vision. It is a very challenging task to design an efficient method for high dimensional convex objects representation. In this paper, we prove that the convexity of the considered object is equivalent to the convexity of the associated signed distance function. Then, the second order condition of convex functions is used to characterize the shape convexity equivalently. We apply this new method to two applications: object segmentation with convexity prior and convex hull problem (especially with outliers). For both applications, the involved problems can be written as a general optimization problem with three constraints. Efficient algorithm based on alternating direction method of multipliers is presented for the optimization problem. Numerical experiments are conducted to verify the effectiveness and efficiency of the proposed representation method and algorithm.
L’umorismo nella traduzione in spagnolo de Il gioco delle tre carte di Marco Malvaldi

The aim of this paper is to observe how the humorous effect has been translated in the Spanish version of the novel Il gioco delle tre carte (2008) by Marco Malvaldi. The article is organised in three parts: in the first one, the theoretical framework for the translation of humour is outlined, in the second one the types of humour that characterize Malvaldi’s texts are illustrated and in the third one the translation techniques used to maintain the humorous effect of the original text are analysed.
Hybrid Text Illusion CAPTCHA Dealing with Partial Vision Certainty

The term CAPTCHA was introduced as the Turing test that claims to classify human and robot which may intend to intervene in the security traits of a database. CAPTCHA stands for “Completely Automated Public Turing test to tell Computers and Humans Apart.” CAPTCHA has been represented in various customs such as distorted texts, 3D texts, audio, graphical, gaming and many more. The recent approach is gaming CAPTCHA which is a bit heavier for the server to load over a browser. The logic behind the gaming CAPTCHA is dealing with dragging and dropping object to the target position which does not belong to the hard AI problems. Gaming CAPTCHA is a time-consuming and complicated approach which confuses users to deal with the games. Turing test or CAPTCHA should be as easier as possible for human and almost impossible for bots. Here the proposed system is able to provide a new challenge of CAPTCHA in front of users that forms a hybrid text illusion which only deals with human’s partial vision certainty. Hybrid text illusion signifies that a word observed by normal eyes actually gets differ from partially opened eyes. A user is required to recognize the partial one which is not possible with normal eyesight even a robot is not able to recognize by using any kind of text scanning approaches. It is a new generation CAPTCHA which creates illusion where only human can deal with.
New Technological Development in Police System: A Study

Technology has transformed the expression of society, and its effects are apparent on all organs of society with no exception on the form and function of policing. Transformation in social customs and technological advancements and the confront realities of crime control are giving rise to new forms of crime. In order to address the changing pattern of society police had to adopt new technologies. In response to the changing conditions of society which are brought by new technological developments, policing agencies also need to adopted technological advance gadgets in order to accomplish their objectives of crime prevention, detection and law and order maintenance. Technology has not only facilitated transformation of police within the respective nations, but has also facilitated international police cooperation. The technological advancements in communications and transportation has enabled international cooperation between policing organizations to address the new forms of crime. Harnessing new forms of technology would become a constant theme in the efforts of international police organisations.
Simulated Annealing Applied to Traveling Salesman Problem: A Case Study

Intelligent computational techniques are being extensively explored and disseminated to solve complex problems in favor of effective decision making12.. This paper describes the use of the Simulated Annealing metaheuristic for the Traveling Salesman Problem - TSP, contained in a dairy distribution company. The objective is to verify the applicability of the metaheuristic and validate its efficiency to solve combinatorial optimization problems, as opposed to an application to the real scenario. The results obtained are compared with the previous studies in the literature, which solve the same TSP by means of Memetic Algorithm and the exact method. With the comparative analysis, it can be verified that the proposed metaheuristic is a method of obtaining good solutions for difficult optimization problems, both in terms of the quality of the solutions obtained and the execution time of the algorithm.
Neural Contours: Learning to Draw Lines from 3D Shapes

This paper introduces a method for learning to generate line drawings from 3D models. Our architecture incorporates a differentiable module operating on geometric features of the 3D model, and an image-based module operating on view-based shape representations. At test time, geometric and view-based reasoning are combined with the help of a neural module to create a line drawing. The model is trained on a large number of crowdsourced comparisons of line drawings. Experiments demonstrate that our method achieves significant improvements in line drawing over the state-of-the-art when evaluated on standard benchmarks, resulting in drawings that are comparable to those produced by experienced human artists.
Sintesis Grafena Oksida Tereduksi Terdoping Nitrogen Dan Sulfur Dari Amonium Tiosianat Sebagai Elektroda Lawan Pada Sistem Dye Sensitized Solar Cell (DSSC)

&lt;p&gt;Pada penelitian ini telah berhasil disintesis komposit rGO-NS melalui pendopingan pada material berbasis grafena oksida tereduksi (rGO) dengan penambahan amonium thiosianat sebagai sumber dopan N dan S. Dopan N dan S pada rGO mempengaruhi struktur rGO yang ditunjukkan dengan pergeseran puncak difraktogram pada 2θ=24,97 (&lt;em&gt;hkl&lt;/em&gt; 002). Spektra &lt;em&gt;Fourier transform infrared&lt;/em&gt; (FTIR) material rGO-NS memberikan serapan puncak baru dari vibrasi C=N pada daerah 1501-1516 cm&lt;sup&gt;-1&lt;/sup&gt; dan dari vibrasi C-N serta C-S pada daerah 1130 – 1146 cm&lt;sup&gt;-1&lt;/sup&gt;. Morfologi rGO-NS berupa lembaran tipis dua Dimensional (2D) bertumpuk dengan jarak antar lapis tertentu. Pengujian &lt;em&gt;I-V measurement &lt;/em&gt;menggunakan Keithley 2602A, sistem DSSC dengan material rGO-NS digunakan sebagai bahan elektroda lawan menunjukkan efisiensi terbesar mencapai 0,1268%, dengan peningkatan efisiensi sebanyak 11,32 kali apabila dibandingkan dengan Pt.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Synthesis of Reduced Graphene Oxide doped with &lt;/strong&gt;&lt;strong&gt;Nitrogen and Sulfur &lt;/strong&gt;&lt;strong&gt;from Ammonium Thiocyanate as &lt;/strong&gt;&lt;strong&gt;a Counter&lt;/strong&gt;&lt;strong&gt; Electrode in Dye&lt;/strong&gt;&lt;strong&gt;-&lt;/strong&gt;&lt;strong&gt;Sensitized Solar Cell (DSSC) System&lt;/strong&gt;&lt;strong&gt;.&lt;/strong&gt; In this research, the rGO-NS composite was successfully synthesized through doping on reduced graphene oxide based-materials (rGO) with the addition of ammonium thiocyanate as nitrogen (N) and sulfur (S) source. N and S dopant influence the rGO structure indicated by the peak shifting into 2θ=24.97 (hkl 002). The Fourier transform infrared (FTIR) spectrum of material rGO-NS reveals new bands which correspond to C=N vibration within 1501 – 1516 cm&lt;sup&gt;-1 &lt;/sup&gt;and C–N vibration together with C–S at area between 1130-1146 cm&lt;sup&gt;-1&lt;/sup&gt;. The morphology of rGO-NS shows that the material consists of many 2 Dimensional (2D) thin layers. The current and voltage (I-V) measurement using Keithley 2602A with material rGO-NS as a counter electrode on DSSC system, demonstrates that the highest efficiency is 0.1268%. This performance is 11.32 times higher compare to the DSSC system with Pt.&lt;/p&gt;
Probabilistic learning of boolean functions applied to the binary classification problem with categorical covariates

In this work we cast the problem of binary classification in terms of estimating a partition on Bernoulli data. When the explanatory variables are all categorical, the problem can be modelled using the language of boolean functions. We offer a probabilistic analysis of the problem, and propose two algorithms for learning boolean functions from binary data.
The school under a bridge in New Delhi

For the past nine years, Rajesh Kumar Sharma has been operating a makeshift school between two pillars of the aerial metro that runs across India’s capital. More than 200 children from the surrounding slums attend this open-air classroom every day.
Weakly Supervised Context Encoder using DICOM metadata in Ultrasound Imaging

Modern deep learning algorithms geared towards clinical adaption rely on a significant amount of high fidelity labeled data. Low-resource settings pose challenges like acquiring high fidelity data and becomes the bottleneck for developing artificial intelligence applications. Ultrasound images, stored in Digital Imaging and Communication in Medicine (DICOM) format, have additional metadata data corresponding to ultrasound image parameters and medical exams. In this work, we leverage DICOM metadata from ultrasound images to help learn representations of the ultrasound image. We demonstrate that the proposed method outperforms the non-metadata based approaches across different downstream tasks.
Studying Ways to Improve Bay Waste Management Using Floating Off-shore Vertical Axis Wind Turbines

In recent years, on the problem of environmental pollution caused by suspended garbage in coasts and bays, sedimented sludge and milliplastics have a serious impact on the environment. In particular, hypoxia caused by eutrophication in the bay is a factor that deteriorates aquaculture productivity. In this study, we developed a helical pump driven by a floating vertical axis wind turbine that can be moored and towed by a ship, and proposed a method of removing the slurried volume of sediment from the sea floor by removing it. Therefore, we report the results of an experiment to investigate the pumping performance of the helical screw pump with respect to the suction capacity.
The Pragmatic Study of Speech Act Analysis in Discussion Activities on Speaking Learning

The research problems of this research is what are the types and functions of speech acts that appear in discussion activities on speaking learning of 3rd semester students of Polytechnic ATI Makassar. The methods in this research is a descriptive qualitative method. The subject of this research is the 3rd semester Politechnic ATI Makassar students in class discussion activities. The results of the study can be described as follows. There are several types of speech acts found. Based on the action objectives of the speaker's perspective, Locutionary act, Illocution act, and perlocutionary act are found. Locutionary speech acts include news, questions and orders. Illocutionary speech acts include assertive, directive, expressive, commissive and declarative illocution
Towards Automatic Bayesian Optimization: A first step involving acquisition functions

Bayesian Optimization is the state of the art technique for the optimization of black boxes, i.e., functions where we do not have access to their analytical expression nor its gradients, they are expensive to evaluate and its evaluation is noisy. The most popular application of bayesian optimization is the automatic hyperparameter tuning of machine learning algorithms, where we obtain the best configuration of machine learning algorithms by optimizing the estimation of the generalization error of these algorithms. Despite being applied with success, bayesian optimization methodologies also have hyperparameters that need to be configured such as the probabilistic surrogate model or the acquisition function used. A bad decision over the configuration of these hyperparameters implies obtaining bad quality results. Typically, these hyperparameters are tuned by making assumptions of the objective function that we want to evaluate but there are scenarios where we do not have any prior information about the objective function. In this paper, we propose a first attempt over automatic bayesian optimization by exploring several heuristics that automatically tune the acquisition function of bayesian optimization. We illustrate the effectiveness of these heurisitcs in a set of benchmark problems and a hyperparameter tuning problem of a machine learning algorithm.
Sınıflandırma Algoritmalarını Kullanarak Meme Dokusunda Kitleleri Değerlendirmeye Yönelik Karar Destek Sistemi

Breast cancer is the most widely recognized cancer-related death among women globally. Epidemiological studies released in different parts of the world over the past two decades show a significant rise in mortality rates for breast cancer. Today, mammography is the most effective method for imaging masses and microcalcifications in breast tissue. On the other hand, breast biopsy predictions arising from mammogram analysis lead to nearly 70 percent biopsies of benign findings that can be prevented without a biopsy. An automated method is therefore required to assist physicians in mammography analysis prognoses. Researchers have suggested different medical decision support systems recently. In this study, a medical decision support system to be utilized in the process of a breast cancer diagnosis is proposed. The primary purpose of this system is to lower the number of unnecessary breast biopsies and make the diagnosis more reliable. Accordingly, apart from the age of the patient, BI-RADS assessment of the breast tissue, the shape of the mass, mass margin, tissue density, the class label indicating the severity of the lesion are evaluated using the performances of a Naive Bayes algorithm , which is a probabilistic classification algorithm, and Multilayer Perceptron algorithm, which is a feed forward neural network, as two different classification algorithms via a preferred dataset in which each mammography mass have six different feature. The proposed system can help to make a biopsy or short-time follow-up decision. The test results are promising that the proposed method can be used as a decision module in computer-aided diagnosis systems.
An Analysis of the Matrix with Special Emphasize on Jean Baudillard’s Simulacra and Simulation Salini Lr

Simulacra and Simulation is a book written by Jean Paul Baudillard in the year 1981.He begins his essay by discussing about simulacrum and simulation. According to him genetic miniaturization forms an important part of simulacrum. That is the real can be produced from miniaturized cells, matrices, memory banks and modes of control. It is called hyperreal. It blurs the distinction between real and imaginary and results in the production of models with simulated differences. He says that simulation is not a sort of pretending.  Then he gives the example of religious faith and worshipping of God. The God is reduced to a system of signs that constitute the faith. When God is represented in the form of images we are actually acknowledging his death and disappearance.
APPLICATION OF EDUCATIONAL GAMES IN THE WORK OF BULGARIAN LIBRARIES

The increased development of technologies and their rapid entry into all walks of life completely change the routine activities and the various professional fields. Certification of knowledge within school and university systems (formal education) is far from sufficient. In many cases, participation in lifelong learning processes, whether in formal and / or non-formal education, is based on one of the basic concepts in the understanding of ‘information literacy’, namely: individual awareness of the need of additional knowledge / information.Libraries today are a domain for innovation. Within their traditional functions and activities, they are also institutions that support the personal development of children, pupils, students, professionals and all those wishing to upgrade their knowledge and skills.The link between traditional library activities and higher education is the Navigate project, which aims to develop and integrate educational games into student learning that make learning significantly more practical and interesting, enhancing students’ information competences. The application of educational games to be used and implemented at the University of Library Studies and Information Technologies (ULSIT) is much broader and its other target group is namely library institutions.The text will present possible applications of educational games in the library activities of Bulgarian libraries, which are some of the main partners of educational institutions in the process of acquiring information competences.
THREE-LAYER MODEL FOR LEARNER DATA ANONYMIZATION

A. Aleksieva-Petrova1, I. Chenchev1, M. Petrov2 1Technical University Sofia, Computer Systems and Technologies (BULGARIA) 2Sofia University (BULGARIA)
EXTRACURRICULAR WORK OF STUDENTS AS AN INTEGRAL PART OF THE PROCESS OF TRAINING FUTURE TEACHERS

The Federal state educational standard of higher education involves the formation of future professionals a certain set of competencies, which is realized through the content of education. Standards of the third generation regulate the requirements for the forms and organization of the educational process, which leads to a review of all the components of the education system. The extracurricular work of students occupies a special place in the new educational space, the need for which is determined by the concept of standards of the third generation. The educational process and extracurricular activities mutually complement and reinforce each other, solving a single complex task - training a competent specialist.The extracurricular work of students is any activity carried out during extracurricular time, not related to the syllabus of classroom studies and aimed at the formation and development of professionally significant qualities that contribute to their personal development, expansion and deepening of professional knowledge and skills.At the Institute of Mathematics and Information Technology of Petrozavodsk State University the direction "Pedagogical education", training future teachers of mathematics and computer science, implements extracurricular work of students through:- educational study practice;- pedagogical practice;- additional work of students not related to the main educational process.Such forms of extracurricular work of students as participation in various events for teachers, competitions in different disciplines of subject and methodological training, organization and conduct of extracurricular activities for school students, acquaintance with the system of additional education in their subject area, etc., contribute to the acquisition students required experience for future practice.The extracurricular work of students is an effective means to establish a stronger relationship between theory and practice and the formation of professional competencies, the development of communication skills and abilities of students, training students to perform work functions that meet the Professional standard of the teacher. Active involvement of students in extracurricular activities allows to train specialists of a higher level, and in the future contributes to better professional adaptation of graduates on workplaces.
PRIMARY SCHOOL PUPILS’ MOTIVATION FOR LEARNING

The growing social demand for lifelong and more effective school learning cannot be met without the development of self-regulated learning skills. Self-regulatory learning is a complex, interactive process that involves not only cognitive self-regulation but also motivational self-regulation. Without motivation, there is no learning, but the intensity and the type of the motivation changes during the learning activity. Learning motivation is self-regulated by the learner. In the literature four type of motivations are described: external, intrinsic, introjected, and identified.In the case of external regulation, learning is done for external, non-learning goals. Intrinsic regulation exists when a motivated state is created by a learner's personality traits or characteristics of a learning situation in which the learner is driven by curiosity and interested to the learning content. For a pupil with introjected regulation learning becomes a moral obligation, gradually turn to be independent of external reinforces. Identified regulation is rooted in the nature of the child: the pupils have an innate need to increase their competence.The aim of this paper is to present a research on primary school pupils’ motivation for learning. The research tool was the self-regulated learning questionnaire developed by Bacsa (2012), which contains affirmations measured on a 5-level Likert scale. 14 items related with motivation were selected and grouped in four categories: external, intrinsic, introjected, and identified regulation. The obtained data was quantitatively analyzed.The results show that the identified motivation is the strongest in the participant pupils followed by the introjected motivation, and the intrinsic motivation is less developed in these pupils. These results highlight the necessity of using teaching methods which rise pupils’ curiosity and interest for learning.
Justification of atemporal values in Alexius Meinong’s theory of objects

In the history of philosophy, Alexius Meinong?s interest in axiology has traditionally been seen as confined to his earlier works. However, if we analyze his writing after 1917, in which Meinong discusses timeless values, it becomes clear that he became increasingly disinterested in psychology. Moreover, since the theory of the object, in Meinong?s view, could not be a part of metaphysics, he had to deal with the additional methodological difficulty of proving that the good exists independently of human subjectivity. The article discusses A. Meinong?s understanding of the object of desire, the object of a value-feeling and the connection between ethical values as objects of consciousness and time. It is shown that, according to Meinong, language is where values actually reside and only through language can their reality be explained.