Reviewerly/exHarmony huggingface dataset:
Truth Discovery from Multi-Sourced Text Data Based on Ant Colony Optimization

In the era of information explosion, plenty of data has been generated through a variety of channels, such as social networks, crowdsourcing platforms and blogs. Conflicts and errors are constantly emerging. Truth discovery aims to find trustworthy information from conflicting data by considering source reliability. However, most traditional truth discovery approaches are designed only for structured data, and fail to meet the strong requirements to extract trustworthy information from unstructured raw text data. The major challenges of inferring reliable information on text data stem from the multifactorial property (i.e., an answer may contain multiple different key factors, which may be complex) and the diversity of word usages (i.e., different words may share similar semantic information, but the spelling of which are completely different). To solve these challenges, an ant colony optimization based text data truth discovery model is proposed. Firstly, keywords extracted from the whole answers of the specific question are grouped into a set. Then, we translate the truth discovery problem to a subset optimization problem, and the parallel ant colony optimization is utilized to find correct keywords for each question based on the hypothesis of truth discovery from the whole keywords. After that, the answers to each question can be ranked based on the similarities between keywords of user answers and identified correct keywords found by colony. The experiment results on real dataset show that even the semantic information of text data is complex, our proposed model can still find trustworthy information from complex answers compared with retrieval-based and state-of-the-art approaches.
SIGNIFICANCE OF HISTORICAL AND LEGAL DISCIPLINES IN THE PROFESSIONAL TRAINING OF LAWYERS

The training of professional lawyers is a multifaceted process that requires the formation of not only highly professional knowledge and skills, but also legal consciousness, legal ideology and legal culture. Professional legal culture allows a lawyer to objectively assess social reality, specific legal relations. A significant role in shaping the professional legal culture of a student belongs to historical and legal educational disciplines. By studying the history of the state and the law of their country, foreign countries, as well as the history of political and legal doctrines, students studying in the field of jurisprudence gain extensive knowledge on the evolution of the state, changing the form of the state, the form of government and the form of political regime. Strong knowledge of the processes of formation of the legal system are the fundamental basis of the professional legal consciousness of a lawyer, which determines the type of his legal culture.
A Possible Influence of the Focolare Movement on the Genesis of Clemente Rebora's Hymn "Il gran grido"?

Starting from historical data that prove the existence of a connection between the Rosminian priest Clemente Rebora and the first members of the Focolare Movement, the essay intends to verify if Chiara Lubich’s spirituality influenced the genesis of Il gran grido, a poetical composition by Rebora. Through the reconstruction of the genesis of the text, the analysis of the poet’s letters and, finally, a comparison between the lyric by Rebora and the writings of the founder of the Focolare Movement, the essay brings to light new historical intersections between the poet-priest and the first members of the movement and interesting spiritual consonances between Rebora and Lubich.
Computer Forensics: Dark Net Forensic Framework and Tools Used for Digital Evidence Detection

As the development of technology increases and its use becomes increasingly more widespread, computer crimes grow. Hence, computer forensics research is becoming more crucial in developing good forensic frameworks and digital evidence detection tools to deter more cyber-attacks. In this paper, we explore the science of computer forensics, a dark web forensic framework, and digital evidence detection tools.
Live Patching and Remote Interaction: A Practice- Based, Intercontinental Approach to Kiwi

This paper introduces, documents and reflects on an intercontinental live patching experience based on simultaneous remote interaction using the software Kiwi, and that can be subsumed under several features of Ubiquitous Music. The experience involved two academic groups based in three different universities between Brazil and France, namely, a research group from the two Brazilian Federal Universities of Acre and Paraiba, and a working group based at the University Paris 8 in France. The intercontinental simultaneous interaction may trigger reflections on the implications of the presence/absence of the human being, on the implicit patterns of territorialisation reproduced in the context of intercontinental live patching, and on the operative action of mnemonic processes within the practice.
Дискуссии в губернских земствах в отражении текстовых карт: от визуализации к анализу

The article presents a first attempt to analyze the speeches of the deputies of the Provincial Zemstvo Assemblies of the Moscow, St. Petersburg and Perm provinces in the second half of the 19 th century using text mapping methods. The textual map is a space diagram in which the thematic content of the journals of the Provincial Zemstvo assemblies is displayed on a per-session basis according to the identified thematic clusters. The maps visualize the data of frequency tables created on the basis of computer processing of the textual corpuses of the journals of the Provincial Zemstvo Assemblies and sub-corpuses of texts containing fragments of the journals and representing speeches of individual deputies. The chronological framework of the study is limited to the first triennium of the functioning of Zemstvos in the Russian Empire, which is especially important to study, since Zemstvo deputies should have acted under new conditions of representation and were forced to develop new models of behavior to effectively solve the problems facing the Zemstvo. The article discusses the use of the text mapping method for visualizing and analyzing data. It includes the analysis of both generalized maps that display the full agenda of meetings as a whole, and individual maps that reflect speeches of individual deputies. It represents a thematic diversity of the journals of the Provincial Zemstvo Assemblies, comparing priorities in discussions of the agendas by different Zemstvos in dynamics, and deputies are classified according to the variety of topics of speeches. As a result of the analysis, it was possible to show that the main priority in the discussions at the meetings was the issue of Zemstvo financing and tax collection, as well as the procedure for forming the tax base. The discussed agenda was formed not only on the basis of the immediate needs for the arrangement of the provinces, but also under the influence of social composition of the Zemstvos and personal interests of the deputies. doi 10.17072/2219-3111-2019-3-146-158
UPAYA PENINGKATAN KEMAMPUAN BERHITUNG DENGAN MEMANFAATKAN MEDIA PEMBELAJARAN MATEMATIKA PADA SISWA/I KELAS I SDN INPRES MELAM HILLI DAN SDN INPRES KEMIRI KABUPATEN JAYAPURA PROVINSI PAPUA

The learning media can be interpreted as all objects that mediates in the occurrence of learning. Based on its function, the learning media can be tools and medium. Tools are the learning media containing or bring the characteristics of the concepts of the studied. While medium is the learning media who has main function as a tool for learning. The purpose of the activity is to increase the capabilities of mathematics calculation of the first grade student at SDN Inpres Melam Hilli and SDN Inpres Kemiri about the concept of counting operation by utilizing the learning media. The counting operation intended in this activity are defined as the concept of the sum and reduction of natural number from 1 to 20. The methods used in activity are lecturing method, asking questions method, and gaming method. In this activity two types of the games are done, which are papan saku game and tali pas game to embed the concept of counting operation. After this two games are done, the students directed to complete LKS I and II. The success indicator that the students understand the material about counting operation by utilizing mathematics learning media is that they can complete LKS with a value more than or equal to 70. The impact of this activity is the students are very excited in following the activities ranging from the introduction, delivery of the material accompanied by papan saku game ang tali pas game, until the evaluation. On the evaluation phase most of the students quite understand the material that has been delivered and complete LKS with value more than or equal to 70. This means, the utilization of learning media with the gaming method could increase the value of learning/the capabilities of mathematics calculation of the students, especially at counting operation material.  Keywords : mathematics learning media, counting operation, gaming method
Minimizing Off-Chip Memory Access for Deep Convolutional Neural Network Training

When training convolutional neural networks, a large amount of operations and memory access are in need, which easily lead to the bottleneck of “memory wall” and decrease the computational performance and efficiency. Batch Normalization (BN) can effectively speed up the deep network training convergence, but it has complex data dependence and causes more serious “memory wall” bottleneck. Aiming at the “memory wall” problem occurred in the training for convolutional neural network using BN algorithm, the training method with splitting BN layer and multi-layer fusion calculation is proposed to reduce the memory access in model training. Firstly, by reordering “CONV+BN+RELU” (CBR) block, we trade computation for memory access with extra computation to reduce data accessed during training. Secondly, according to the memory access characteristics of the BN layer, the BN layer is divided into two sub-layers, which are respectively fused with the adjacent layers and the CBR block is recombined into “BN_B+RELU+CONV+BN_A” (BRCB), which further reduces the read-write of the main memory during training and alleviates the “memory wall” bottleneck to improve accelerator computational efficiency. The experimental results show that when using the NVIDIA TESLA V100 GPU to train ResNet-50, Inception V3 and DenseNet models, compared with the original training method, the amount of data accessed using BRCB multi-layer fusion optimization method is reduced by 33%, 22% and 31% respectively, and the actual computing efficiency of V100 is improved by 19%, 18% and 21% respectively.
Access control mechanism based on image recognition and user level

Abstract The rapid development of big data and the Internet has brought enormous challenges to data security. Aiming at protecting the sensitive image data protection and secure access of information, an access control mechanism based on image recognition and user level is proposed. On the one hand, the mechanism is based on deep learning, mining sensitive information in images, realizing hierarchical classification and precise positioning of sensitive areas in images; on the other hand, combining identity authentication to achieve user management based on identity level; The image sensitivity level is mapped with the user identity level, which realizes the user’s access authority control, prevents unauthorized or illegal access of sensitive image information, and effectively protects sensitive image information.
PERANCANGAN SISTEM INFORMASI PEMESANAN E-MENU BERBASIS WEB MOBILE PADA RUMAH MAKAN PADANG PINANG JAYA PRINGSEWU

Pinang Jaya restaurants and is a meal still not use e-menu. Reservations food is still done manually by noting on paper the menu. Problems and these that make researchers to research and e-menu to design a quickly in reservations food. The purpose of this research is to making an application sales and purchases of and eat the Pinang Jaya restaurants , in addition to ease employees in the report preparation sale and reservations, cuisines ordered some food and facilitate consumers from quickly. Is the result of the research of the e-menu eat and Pinang Jaya Restaurant made consumers from cuisines recervation online so consumers do not have to come directly to the restaurants.
Meningkatkan kualitas air dan lingkungan di Desa Tadampalie Kabupaten Wajo

The problem faced by the community in the village of Tadampalie at the moment is that well water in the housing environment of residents does not meet the requirements as drinking water, which is very physically cloudy containing soil elements in the rainy season with high iron and manganese content. In addition, river water that is taken directly through a pipe connection is also turbid and has not been through a purification filter. The community takes river water for household consumption only to be accommodated and deposited which will be used for various household needs such as drinking, bathing, washing and other needs. The limited supply of clean water that meets health requirements, both physically, biologically and chemically shows that there is a need for appropriate technology to treat water that is adapted to environmental conditions. For this reason, it is hoped that through the Community Partnership Program activities, there will be an increase in community knowledge about water treatment techniques that are not suitable for use, namely by creating a clean water treatment system. The method of approach that will be used in the form of counseling, workshops and guidance / assistance. Thus the outputs of science and technology for the community are (1) Water treatment techniques or methods that are safe, easy and inexpensive. (2) Water treatment equipment for household scale with a capacity of 500 liters, (3) Environmental friendly septic tank / infiltration model, (4) Published articles.
On Belief Reports in Bangla

This paper studies various belief predicates in Bangla. In analyzing belief predicates in general, the Hintikkan universal quantification over doxastic worlds is executed in literatures. But, this might not be true across the board. The variations in strength that Bangla belief predicates show cannot be taken care of only by the universal quantification over worlds. Following Hegarty (2011), we show that a generalized quantifier approach becomes rather useful in analyzing the Bangla belief predicates with respect to a scale of certainty. The paper also zooms in on two kinds of reading that Bangla belief predicates exhibit. These two kinds are - a bare reading and an eventive reading (see Hegarty 2011). We extend this discussion of these two reading types to address the famous parenthetical vs. non-parenthetical distinction (Simons 2007, Jary 2010) of belief predicates. Our paper shows that the former, i.e. the bare/event-less reading can correspond to the parenthetical type, while the latter, i.e. the eventive reading can associate itself to the non-parenthetical kind.
A Hybrid Mechanism of Particle Swarm Optimization and Differential Evolution Algorithms based on Spark

With the onset of the big data age, data is growing exponentially, and the issue of how to optimize large-scale data processing is especially significant.Large-scale global optimization (LSGO) is a research topic with great interest in academia and industry.Spark is a popular cloud computing framework that can cluster large-scale data, and it can effectively support the functions of iterative calculation through resilient distributed datasets (RDD).In this paper, we propose a hybrid mechanism of particle swarm optimization (PSO) and differential evolution (DE) algorithms based on Spark (SparkPSODE).The SparkPSODE algorithm is a parallel algorithm, in which the RDD and island models are employed.The island model is used to divide the global population into several subpopulations, which are applied to reduce the computational time by corresponding to RDD's partitions.To preserve population diversity and avoid premature convergence, the evolutionary strategy of DE is integrated into SparkPSODE.Finally, SparkPSODE is conducted on a set of benchmark problems on LSGO and show that, in comparison with several algorithms, the proposed SparkPSODE algorithm obtains better optimization performance through experimental results.
Designing a Better Virtual Reality (VR) Experience

Abstract Virtual reality (VR) is a great new technology which has extensive applications, and it is imperative that there is a way to use VR comfortably. This will allow VR to become an everyday tool, creating a more interactive world. With more VR integration new technologies can be created and allow VR to expand further into fields like therapy or military training. However, VR comes with some unfortunate side effects. The cybersickness that many people experience when using a VR system has been shown to trigger a thermoregulatory response that causes sweating, the sensation of being excessively hot, as well as nausea. These symptoms of cybersickness make it uncomfortable to use a VR system for any long period of time. In order to combat this, the authors present a device which can effectively cool the user to extend the time duration a user can comfortably use a VR system.
Образы Средневековья в отечественной книжной графике последней четверти ХХ–XXI веков

The study of the principles of interpretation of images of the past in book illustration allows us to assess completely and comprehensively the specifics of understanding the cultural heritage, the principles of reception of bygone eras, the issues of individual experience of history. The concept of historicism in the 19th-century art formed the method of interpretation of the past based on the developed stereotype frame. This includes features of the architecture (mainly Gothic), patterns with pointed shapes and Celtic entrelacs, costume, mainly a suit of armor and a dame’s high pointed hat hennin. The 20th century, the era of scientific approach and objectivism in the evaluation of the past influenced the evolution of images of the Middle Ages and the Renaissance in book illustration. Tinted with exalted fabulousness and refined play with recognizable motifs, the medieval city appears in the heritage of the Traugots. M. Miturich, on the contrary, strives for conciseness and generalized specificity of figurative language. Gothic buildings appear in works of F. Lemkul, V. Chizhikov, S. Kovalenkov and L. Tokmakov, whose illustrations have excellent structural properties of spatial concepts and clear architectonic. G. Kalinovsky creates an image of a medieval city, the cozy and habitable space of which attracts the reader. E. Monin creates medieval settlements, reminiscent of an old European fortress. D. Pivovarov is inclined to fantastic images, remotely referring to real buildings. The image of the Middle Ages in works of N. Goltz combines the drama of the era and its romantic fairy-tale perception. A. Itkin often depicts real buildings and works of art. Diploma projects of the students from the graphics department of the Repin Institute demand special attention. In their works, students embodied vividly and directly medieval and Renaissance motifs. Originality and independence of treatment allow us to talk about the special tradition of work with similar subjects in the pedagogical practice, as reflected in works of O. Titov, P. Alekseev, L. Blinova, V. Bogdesenko, E. Degtyareva, A. Doron. Methods of interpretation of images of the Middle Ages and the Renaissance in Russian book illustrations are reduced to a traditional set of recognizable markers of the era: architectural motives, costumes, interpretation of ornamental and decorative means of depiction, stylization in the manner of a book miniature.
Image Tag Refinement with Self Organizing Maps

Nowadays, data sharing has become faster than ever. This speed demands novel search methods. Most popular way of accessing the data is to search its tag. Therefore, creating tags, captions from an image is a research area that gains reputation rapidly. In this study, we aim to refine image captions by utilizing Self Organizing Maps. We extract image and caption pairs as feature vectors and then cluster those vectors. Vectors with similar content clustered close to each other. With the help of those clusters, we hope to get some relevant tags that do not exist in the original tags. We performed extensive experiments and presented our initial results. According to these results, the proposed model performs reasonably well with a 54% precision score. Finally, we conclude our work by providing a list of future work.
FR-IQA - Permutation Entropy Deviation Index

In this work, a new objective image quality assessment (IQA) framework, based on the working principle of permutation entropy (PE) is proposed. The framework is titled as Permutation Entropy Deviation Index (PEDI). The idea is to design an IQA framework that should be highly accurate as well as computationally efficient; making it viable to be used with different image processing applications, for visual quality assessments. The proposed model make use of the PE that helps in detecting and visualizing changes related to structures with correlation between successive samples instead of considering magnitudes of the signal. Thus, the proposed approach uses this property to efficiently predict image quality. The PE exploits the global variations in the local quality map for image quality assessment. With standard deviation as the pooling strategy, it is noted that permutation entropy between reference and distorted images can predict image quality with high measures of accuracy. Experimental results on subjective database, CSIQ, have shown that the proposed model outperforms most of existing SOTA image quality assessment models and highly correlates with subjective judgements.
Job Pre-Interview System with Artificial Intelligence

With the study; The interviews, which are the preliminary stage of the recruitment process, are translated into text by the job seekers’ answers. Then, it is ensured that the answer to the question is checked by associating it with the flow of dialogue and the system can decide the next question according to the answer given by the job seeker. According to these results, artificial intelligence interview system which provides reporting of interview results is presented. In the system, studies on natural language processing, semantic analysis, the formation and use of ontologies, classification algorithms, machine learning and technological expertise are carried out.
PERAN KEPALA SEKOLAH DALAM MENINGKATKAN KINERJA PEGAWAI

This qualitative study aimed at describing the role of headmaster in improving performance accounting staf in SMA Negeri 1 Kepahiang. The results of this study stated that role consist: First role of headmaster as administrator and leader have been put accross to utilize to support to make of accounting staff performance. Peculiarly can be concluded that is role of headmaster as leader done by various policy that is: using network system/LAN in management of administration, library base on Technology Informatika. Second role of headmaster as administrator done by arranging study administration, office administration and pupil, Officer administration, supply administration, financial administration and relation administration go to school with society. Third supplementary factor is available of adequate facility in solving of school administration, amount of accounting staff answer the demand for the management accounting of school, and basic facilities go to school very is supporting. Management study process and administration. Fourth factor Resistor is skill of accounting staff in management administration go to school not yet is adequate and the quality of human resource which still lower, education the accounting as according to profession not yet.