Reviewerly/exHarmony huggingface dataset:
A delta‐oriented approach to support the safe reuse of black‐box code rewriters

Abstract Large‐scale corrective and perfective maintenance is often automated thanks to rewriting rules using tools such as Python2to3 , Spoon , or Coccinelle . Such tools consider these rules as black‐boxes and compose multiple rules by chaining them: giving the output of a given rewriting rule as input to the next one. It is up to the developer to identify the right order (if it exists) among all the different rules to yield the right program. In this paper, we define a formal model compatible with the black‐box assumption that reifies the modifications (Δs) made by each rule. Leveraging these Δs, we propose a way to safely compose multiple rules when applied to the same program by (a) ensuring the isolated application of the different rules and (b) identifying unexpected behaviors that were silently ignored before. We assess this approach on two large‐scale case studies: (a) identifying conflicts in the Linux source‐code automated maintenance and (b) fixing energy antipatterns existing in Android applications available on GitHub.
Examining Our Laboratory Results Through Participation in Multinational Material Exchange Studies

Aim: The aim of this study is to determine the quality of our tissue processing through participation a multicentre research programme as part of external quality control.&#x0D; Study Design: A analytical retrospective study.&#x0D; Place and Duration of Study: Department of Pathology University of Calabar Teaching Hospital, July 2019.&#x0D; Methodology: An analytical study reviewing the performance of lymphoma tissue contributed to a Sub-Saharan African Lymphoma consortium study commissioned in 2008/2009 for which results were published in 2012. Twelve formalin fixed paraffin embedded lymphoma tissue were tested with a panel of 40 immunohistochemistry antibodies. The tissues were cut into 480 cores placed on slides before the test.&#x0D; Results: The tissues were from 5 women and 7 men. The mean age was 37years, median age 45 years and modal age was 60 years. Twenty six percent of the sectioned cores lifted at test and could not therefore produce results. The reason for the lift off was tissue brittleness. Seventy four percent (74%) had intact cores on slides and produced a staining reaction although fragile antibodies like Ki 67 and bcl6 produced non reliable results while hardy antibodies like CD20 were more reliable.&#x0D; Conclusion: The quality of histopathology biopsy results in the Department of Pathology University of Calabar teaching hospital needs to be improved. The strategies to achieve this involves the institution of continuous quality control and quality assurance.
Application of Situational Virtual Reality System to improve Learning Performance of Traditional Hair Cutting Skills

The study mainly relates to design and develop a system of "Hair Cutting and Blowing skills training" to assist hairdressing skills learning by theming on two major items of "hair cutting and blowing" skills" in the "Women's Hairdressing Certification C" test.The study has set 40 students who major in Fashion Modeling Department in northern Taiwan as experimental samples, wherein 20 students of experimental group were trained in the virtual reality hairdressing and hygiene skills training system; and 20 students of the control group were trained in traditional teaching methods.The result of the study has found that the experimental group's learning performance in the comprehensive skills is better than the control group, and the growth rate also reached a significant level.Through the test of the technology acceptance model, this "Hair Cutting and Blowing skills training" system can assist in the learning of skills and enhance students' motivation in learning.From unfamiliar skill training to proficiency, through the repeated practice in the virtual reality simulation environment, it helps in increasing hand feeling and confidence which can also help to reduce the amount of exercise materials needed for hair and blowing skills training.
Dimension Reduction Based on Effects of Experienced Users in Recommender Systems

The paradox of huge volume with high sparsity of rating data in collaborative filtering (CF) system motivates the present paper to utilize information underlying sparsity to reduce the dimensionality of data. This difference in user experiences resembles factor underlying widely used term frequency weighting scheme in information retrieval. Hypothesis of Rational Authorities Bias (H-RAB) is proposed, supposing that higher prediction accuracy can be attained to emphasize referential users with higher experiences. Dimension reduction suggests pruning all referential users with less experience than a given maturity threshold. Empirical results from a series of experiments on three major public available CF datasets justify the soundness of both modifications and validity of H-RAB. A few open issues are also proposed for future efforts.
Reverse Partitioning for SPARQL Queries: Principles and Performance Analysis

RDF and SPARQL have been widely adopted for modeling and querying Web objects as facts in the Semantic Web. The amount of data stored in RDF format has grown significantly pushing RDF processing systems to implement efficient query processing techniques in parallel and distributed architectures. In such environments, the data partitioning is a pre-condition for query performance. Traditionally, the graph-based RDF systems store the data using adjacency lists formed by a vertex and its outgoing edges. Nevertheless, for a certain type of queries, considering entities and their ongoing edges may speed up their execution. This point motivates us to present a new partitioning technique (called reverse partitioning) dedicated to graph-based triple stores that is complementary to traditional ones. In this paper, we first detail its main principles by illustrating its functioning. Secondly, the best classes of queries for which reverse partitioning gives better performance are discussed. Finally, we report on intensive experiments using large RDF datasets that show significant performance improvements for certain queries in a graph-based triple store and in a relational-based system.
Upaya Meningkatkan Hasil Belajar Ekonomi dengan Menggunakan Media Kongkrit pada Peserta Didik Kelas XI SMK YPSEI Palangka Raya Tahun Pelajaran 2014/2015

This study aims to: (1) To improve learning activities by using concrete media on economic subjects, (2) To improve the learning outcomes of Economics by using concrete media on students of class XI YPSEI Vocational School in Palangka Raya. The method used by researchers is to use a class action research design (CAR) that seeks to solve or answer the problems faced in the current situation. For data collection techniques used are tests and observations. While in this study using the percentage of classical and individual completeness formula. The results of the study show that: (1) Learning activities of students using concrete media money in learning is more active and applied. In the first cycle the score of learning activities was 3.4 with good categories, then in the second cycle 3.73 with good criteria, (2) There was an increase in student learning outcomes in economic lessons using concrete money media. The pre-action average value of 35.25 and completeness in classical 5%. The average value in cycle I 51.25 and completeness in classical 45%. The average value in cycle II 88 is 100% classical.
Panorama das ontologias do domínio agrícola: estudo a partir da Análise de Conteúdo

Given the importance of agriculture to the economy of a nation and to the subsistence of humankind, this is one of the areas of knowledge that has made efforts to improve and research across several areas of knowledge. The area of ​​Information Science (IS), which is concerned with aspects related to the management, organization, access and retrieval of information and knowledge, has the theoretical and methodological potential to contribute to studies in several areas of human knowledge, agriculture. Within this proposal, it is believed that the ontologies, one of the research objects of CI, can help in the sharing of knowledge among domain experts, enabling the improvement of processes and techniques for the improvement of research in this area. This study is part of a doctoral research, aimed at the of ontologies in the context of Brazilian agriculture. Thus, it is specifically aimed to identify the current panorama of the ontologies of the agricultural domain, through a literature review. The methodological procedures adopted for the of the work are divided into three stages, namely: 1) bibliographic survey; 2) selection of papers for study; 3) application of the Content Analysis technique to create four categories of analysis: subject, purpose, methodology and / validation. It can be observed in the partially analyzed results that ontologies have, as far as the 'subject' category, a diversity of topics within the agriculture, revealing the innumerable possibilities of ontology construction in the area. In relation to the category 'ontology purpose' it is observed that the objectives of the ontologies vary between creating a model of representation of knowledge in a subdomain related to agriculture, and serve as the basis for some application. With respect to the category development methodology, the construction of ontologies is predominant without the use of methodologies recognized in the literature, such as NeOn, Methontology, Method 101. Finally, the evaluation / validation category reveals the concern of the developers in the verification of the ontologies, since most of the proposals had some type of validation.
P’urhépecha Classifier Morphemes

This project focuses on the syntactic properties of classifi er (CLF-) morphemes in P'urhépecha, an indigenous language isolate spoken in Michoacán, Mexico.Morphemes are the smallest units of language that carry meaning within a word.CLF-morphemes are bound morphemes attached to the verb which co-refer with an argument (being either the subject or direct object in this study) within a locative phrase, which communicates where an object is, or a motion predicate, which communicates where an object is placed.CLF-Morphemes contain information regarding physical characteristics of their referents, such as size, shape, and position.In sentence (1) below, the verb ana-nu-sti contains several CLF-morphemes: ana-referring to the determiner phrase (DP) posti; -nu-referring to the locative phrase terunukwa-rhu; and an agreement morpheme -sti marks tense and person.
Teaching Strategies Of Social Competences In Postmodern School

This article focuses on the analysis of social education, redesigned from the constructivist paradigm, according to the needs of the generation of digital natives and to the new social ethic of the 21st century. How could social competences be achieved in school? What kind of strategies, methods, and teacher-student relationships should be used to develop a responsible digital citizenship? A possible answer would be an interactive approach to transformative learning based on authentic experiences including students’ digital competences. Our study aims to identify the impact of teaching strategies on developing students’ social competences. The experimental research was conducted in the second semester of the academic year 2017-2018. The target population consisted in students enrolled in the final year at the Faculty of Psychology an Educational Sciences. A questionnaire regarding students’ perceptions on their own social competences was applied. The future preschool and primary school teachers chose project-based learning as the most appropriate method to teach social sciences. Our findings highlight that using constructivist teaching strategies, like authentic learning, project-based learning, role-play, has a strong impact on developing students social competences. Our results are in line with previous studies and show that well conducted interactive methods are welcome in higher education.
Reversible Data Hiding Algorithm in Homomorphic Encrypted Domain Based on EC-EG

This paper proposes a reversible data hiding algorithm in homomorphic encrypted domain based on EC-EG. First, original image is segmented. The square grid pixel group randomly selected by image owner has one reference pixel and eight target pixels. The n least significant bits (LSBs) of reference pixel and all bits of target pixel are self-embedded into other parts of the image by predictive error expansion (PEE). The n LSBs of reference pixel are reset to zero before encryption for the purpose of avoiding overflow when embedding data. Then, the pixel values of image are encrypted after encoded onto the points of elliptic curve. The encrypted reference pixel replaces the encrypted target pixels surrounding it. Thence, mirror central ciphertext (MCC) is constructed. In a set of MCC, data hider embeds the encrypted extra data into the n LSBs of target pixels by homomorphic addition in ciphertexts, while the reference pixel remains unchanged. Receiver can directly extract extra data by homomorphic subtraction in ciphertexts between target pixels and corresponding reference pixel, and can extract the extra data by subtraction in plaintexts with the directly decrypted image, and can restore the original image without loss. The experimental results show that the proposed algorithm has higher security than the similar algorithms, and the average embedding rate of algorithm is 0.25 bpp.
Towards Pricing-Aware Consolidation Methods for Cloud Datacenters

Cloud Computing has become the major candidate for commercial and academic compute infrastructures. Its virtualized solutions enable efficient, high-rate exploitation of computational and storage resources due to recent advances in data centre consolidation. Resources leased from these providers are offered under many pricing schemes which are often times influenced by the utilised consolidation techniques. In this paper, we provide a foundation to understand the inter-relationship of pricing and consolidation. This has a potential to reach additional gains for the providers from a new angle. To this end we discuss the introduction of a pricing oriented extension of the DISSECT-CF cloud simulator, and introduce a simple consolidation framework that allows easy experimentation with combined pricing and consolidation approaches. Using our generic extensions, we show several simple but easy to combine pricing strategies. Finally, we analyse the impact of consolidators on the profitability of providers applying our simple schemes with the help of real world workload traces.
Reshaping Science Education For Youngsters In Romania

This paper focuses on the importance of a relevant science education in the early years of schooling for the development of future STEM (science, technology, engineering and mathematics) professionals, considered crucial for the development of a nation. The paper investigates the possibilities to help pupils develop abilities like critical thinking, team work and creative assessment, needed by any STEM professional, by the stimulation of their natural curiosity and passion to experiment and play. The paper stresses out the need of an innovative learning from primary school, where the pupils should be more engaged into class and individual exploration. This research introduces an original pilot program developed by the author which is indented for pupils from a school from Romania placed at the begging of their road in science. The main results of the research might be translated into actual programs to be applied in every school from Romania at the science topic in order to stimulate hands-on activities, experiential learning and the foundation of the interest in STEM education. The findings of this paper contribute to increasing of the awareness of the need of an interesting and relevant content for science topic in schools and, at the same time, constitute an argument for a policy change in this regard.
The Project-Based Learning – An Opportunity To Change Primary School Education

The project-based learning is common in postmodern education. Therefore is a concept frequently promoted in teachers’ interactions at any level of school activities. The project-based learning was introduced in Romanian national curriculum in 2012. The benefits for children are well known: project-based learning meets their interests, stimulates their curiosity, shapes their relationships, builds their knowledge, and matches all their stylistic profiles. Nevertheless, project-based learning sets the skills for life-deep learning. The educated parents, who have had professional contacts with management models from foreign countries, have already understood the inefficiency of academic skills in the absence of other abilities. The project-based learning could transform Romanian school into a friendly environment that meets parents’ interests too. The entire primary education is organized according to the principles of postmodern education. Do primary school teachers use project method? How do primary school teachers use projects in their teaching strategies? Do Romanian primary school teachers consider there is a need of cultural adaptation for project method? In order to answer to these questions we have analysed the data collected in a questionnaire-based inquiry addressed to primary school teachers from Brașov. Our empirical study shows the conditions in which the project method is used in primary education.
Pengelolaan terbitan berseri di Perpustakaan Museum Bala Putradewa

Series publications are sources available in the library.These information sources have up-to-date and updated information on various topics of discussion that are used as sources of reference science for research of students and lecturers.Serial issue is one of the library collections which are mostly unprocessed and utilized.In this paper, we discuss about serial publications in the Bala Putradewa Museum library, including journals, newspapers or newspapers, bulletins, magazines and others.In the library of Bala Putradewa Museum, most public collections are not collections related to history.This confession is still very minimal for updated information to be consumed by visitors, the visitors are almost nonexistent every day.Preservation of publications in the library Museum Balaputra still uses manual methods because of the absence of a special budget.Development of collections was not carried out due to the absence of a budget.On average, collections in the old Putadewa Bala Museum and many collections have been lost and damaged.
Evaluation of Local Features Using Convolutional Neural Networks for Person Re-Identification

In this paper, we mainly evaluate the influence of local features extracted by convolutional neural networks for person re-identification. Considering the variant body parts with different structural information, we divide the holistic person images into several parts and extract their features. Two kinds of aggregation methods are used to aggregate local features. Experiments on the challenging person re-identification database, Market-1501 database, show that the max aggregation is more effective for extracting the discriminative local features than the sum aggregation.
A Enhanced Feature Model for Software Product Line and Core Feature Extraction (S)

Feature model is an important model for capturing domain requirements and managing commonality and variability.However, the traditional feature modeling method is insufficient in expressing the variability requirements, which is easy to cause ambiguity and fails to describe the features in detail.In view of these shortcomings, this paper gives a unified definition of features, feature attributes and feature relationships, proposes configuration vector and variant constraint to enrich variability expression capabilities, and establishes an enhanced feature meta-model for software product lines.This feature model can help domain analysts effectively organize the variable domain requirements.In addition, the commonality of the domain expressed by the feature model is the basis for the development of highly reusable core assets.We propose that heuristic strategies automatically identify and extract core feature to obtain domain commonality.Finally, we take the chronic obstructive pulmonary disease home care product line as an example to demonstrate our proposed method.
The founder of Russian information science, a talented scholar and a pedagogue. To the 90-th anniversary of Rujero S. Gilyarevsky

The paper is dedicated to the 90-th anniversary of Rujero Sergeevich Gilyarevsky, one of the most prominent and respected scholars in the national book, library and information studies. The main stages of his professional career are characterized in brief: his working for All-Union State Library for Foreign Literature, Moscow Library Institute, Russian Academy of Sciences All-Russia Institute for Sci-tech Information (VINITI) and Moscow State University. Special attention is given to his theses researches (1958 and 1989), and his scholarly works – among them, the most popular monograph “The basics of the information science” (“Osnovy informatiki”, in Russian), all of them contributed a lot to our professional knowledge. His areas of expertise are: science information and communication, computer technologies (in particular, the problems of hypertext and e-books), and information management. The author discusses the most important vectors of Gilyarevsky’s professional work, i. e. teaching at the Journalism Department of Moscow State University, supervising post-graduates and doctoral students, and editing and publishing journals in the information science (“Sci-tech Information”, series 1 and 2, International Forum on Information). The width and depth of Gilyarevsky’s academic interests are emphasized.
The Effect of Talking Chips On Improving Speaking Skill of S1 Nursing Students

This study examines the effectiveness of talking chips to improve the S1 Nursing sduents’ speaking skill and its implementation in the English speaking class. This used classroom action research in the way that the data were collected through questionnaire, observation, interview, document analysis and tests. The total samples were 40 S1 Nursing Students of Second Semester including 20 students of intervention group and 20 students of control group which were taken by purposive sampling. Both intervention group and control group were given pre-test to measure the speaking skill before the treatment using talking chips, and then they were given post-test after the treatment. The result of this study showed that there was significant effect of talking chips teaching model to improve the students’s speaking skill which can be seen from pre-test mean score of 49, post test mean score of cycle 1 of 69.3 and the cycle 2 of 77.8. Furthermore, the positive effect of talking chips applied in the class includes the class was more alive, students were motivated to speak in english rather than using Bahasa Indonesia and the class’s interaction was improved significantly.
Giophantus distinguishing attack is a low dimensional learning with errors problem

<p style='text-indent:20px;'>In this paper, we attack the recent NIST submission Giophantus, a public key encryption scheme. We find that the complicated structure of Giophantus's ciphertexts leaks information via a correspondence from a low dimensional lattice. This allows us to distinguish encrypted data from random data by the LLL algorithm. This is a more efficient attack than previous proposed attacks.