Reviewerly/exHarmony huggingface dataset:
Why article-level metadata is important to monitor agreements

The Knowledge Exchange (KE) Monitoring Open Access (OA) task and finish group has undertaken research on agreements with OA elements (e.g. agreements with APC discounts, offsetting agreements, read and publish agreements) set between consortia from KE countries and major publishers between 2016 and early 2019. It assessed agreements with OA elements to investigate what OA article-level metadata consortia request from publishers and what metadata publishers deliver to consortia.&#x0D; With more academic publishing agreements including OA elements, publishers must account for the articles published OA. For example, article processing charges may be paid directly by authors, institutions or research funders and the paying entity has the right to know what research it has funded. Another example includes agreements with a cap on the number of articles that can be published OA. In these cases, consortia and institutions must monitor how many articles are being published OA and they can only do so if publishers deliver OA article-level metadata reports on a regular basis.&#x0D; With Plan S research funders requiring a full transition to OA by 2021, the delivery of OA metadata becomes critical to monitor publishers’ compliance with Plan S requirements for transformative arrangements.&#x0D; In its research, the KE Monitoring OA group used recommendations issued by KE and the Efficiency and Standards for Article Charges (ESAC) initiative to develop a list of OA article-level metadata to evaluate if consortia requested OA metadata and if publishers delivered it. The research findings showed that not all consortia agreements requested the OA metadata as recommended by KE and ESAC. Most importantly, none of the publishers provided all the metadata that the consortia requested. Publishers also did not deliver exactly the same OA metadata across countries and this may be due lack of consistency in their practices.&#x0D; The research findings can be used as a benchmark to monitor how major publishers were performing in KE countries until early 2019 and prior to Plan S comes into effect in 2021. To assist in the process OA metadata collection, the KE Monitoring OA task and finish group created a template based on the KE and ESAC recommendations that consortia can use as a guideline for what OA metadata to request from publishers and that publishers can use as a reporting tool.
Curricula Challenges in Computing / IT Disciplines in the Wake of Rapid Technological Advances, Changing Jobs Landscape, and Demands of Societal Needs

The rapid advances in Computing, Communications, and Information Technologies have had tremendous impacts on various aspects of the lives of vast sections of humanity in such a short time.They have (a) created numerous kinds of new jobs, (b) made several other kinds of jobs to disappear due the kinds of automation they have created, and (c) transformed many professions based on their penetration in various facets of workflow.While these technological advances have resulted in many benefits to our society, they have also created many problems.Also, there are several other more prevalent problems in today's society than in the past, and the advances of technologies have yet to be put to effective use to solve them.These technological advances and their effects on our lives, on the jobs landscape, and the demands on these technologies to solve societal problems are expected to grow further in the near future.In the wake of these, from a higher education point of view, there are tremendous challenges in keeping the curricula in the Computing/IT disciplines up-to-date and relevant.In this paper, we will (a) briefly trace the major milestones in the developments of Computing, Communications, and Information Technologies, (b) give an overview of the current pressing societal problems, (c) present the projected trends in jobs landscape, and (d) outline some ways of keeping curricula in Computing/IT relevant in the wake of the challenges.
Decision Support in Engineering Multivariable Control Systems for Unstable Objects

The problem of ensuring the stability of a multivariable automatic control system which consists of statically and dynamically unstable objects must be managed when solving applied problems.In theoretical terms, this problem is worked out poorly and there are no practical recommendations for its solution.Examples of unstable objects exist in different areas of knowledge.In mechanics, it is a double inverted pendulum, which itself is a biconnected system, or an interconnected system of several inverted pendulums.In the technique -gas turbine engine operation in some operating modes, control of a statically unstable aircraft.In social systems -the behavior of a group of people or groups in critical situations.In large-scale structures (socio-economic, ecological, etc.) there are always statically and dynamically unstable subsystems.For example, dynamic instability may occur when the operating conditions change, the connection is broken etc. Static instability manifests itself in some modes of operation of power plants.The paper analyzes the solution of this problem in the class of multivariable selforganizing systems, which form the structure of relations between unstable subsystems.
Correction to: Optimal face templates: the next step in surveillance face recognition

In the original publication of the article, the below-mentioned acknowledgement was not included and the author would like to add it.
KOMPOSIT DEGRADABEL POLIETILENA TEREFTALAT DENGAN SELULOSA MENGGUNAKAN REAGEN FENTON (H2O2/Fe2+)

PET is a non-degradable type of plastic that can cause environmental problems. This study aimed to form composites by cross-linking PET with cellulose using Fenton reagent initiator, finding out the effect of the addition of H2O2 on the fenton reagent used as an initiator in the mixture of PET-cellulose composites to water absorption and the rate of degradation in wet and dry soil media. The steps carried out in making PET-cellulose composites was refining PET using swelling techniques, followed by the formation of PET-cellulose composites by cross-linking through free radical reaction using fenton (H2O2/Fe2+) as the initiator with the variation of H2O2 amount (30 grams, 60 grams, 90 grams). The resulting composites were tested for water absorption and degradation properties in wet soil media and dry soil with untreated PET control. Characterization was carried out by functional group analysis using FTIR and its morphology with SEM. The results of the study showed that the composite making using the technique of cross-linking between polyethylene terephthalate and cellulose using fenton reagents was successfully carried out where the degradation rate of PET-cellulose composites slowed as the amount of hydrogen peroxide was used. In PET-cellulose composites, the more amount of H2O2 used, the weaker the absorption of the composite to water was.&#x0D; Keywords: degradable, fenton (H2O2/Fe2+), PET (Polyethylene Tephthalate), cellulose, composite.
REVIEW PAPER ON SENTIMENT ANALYSIS OF AMBEDKAR.ORG USING TEXT MINING

India is a country of various religions, castes and cultures.It is based on secularism and democracy.Judiciary, legislature and executive are the major pillars of democracy.Media plays the role of watchdog and it is known as 'Fourth estate'.The responsibility of media is to empower and enrich the democracy through promoting pluralism and diversity.The media should be the voice of people and they must ensure that every section of society is represented in the media properly.Despite such concepts and theories on the role of media, the media in India failed to represent properly the Dalit community of in our country and to provide them opportunities in the field of media.A Dalit-Bahujan Media, Dr. Babasaheb Ambedkar and his People, ambedkar.org,Indian Dalit web portal is taken for the study.Text mining and sentiment analysis have received huge attention recently, especially because of the availability of vast data in form of text available on social media, e-commerce websites, blogs and other similar sources.The main objective of this paper is to understand the presence of Dalits in this new media and analyze the feedback about of Dalit website.The method adopted is sentiment analysis, which aims to extract emotions and opinions from text.
FUNGSI GLCM PADA BACKPROPAGATION UNTUK IDENTIFIKASI SIDIK JARI

The use of fingerprints for identification has been done a lot, both in the police for investigations, in government for absences, in population and much more. To identify fingerprints, various methods are widely used which purpose is to produce a better level of accuracy. This is as reference to find out how important the function of the method will be used before the identification process is applied. The renewal of this research prioritizes how far the function of GLCM (GRAY LEVEL CO-OCCURRENCE MATRIX) is useful to improve the accuracy of fingerprint identification using the backpropagation method. The test results showed that GLCM can affect the increase in accuracy to 83%.
TEACHERS’ PEDAGOGIC COMPETENCE IN TEACHING ENGLISH AT SMAN 1 SANGGAR IN BIMA

The main problem in this study what are Teachers Pedagogic Competence in teaching English at SMAN 1 Sanggar in Bima. This study aims to determine the Teachers Pedagogic Competence in Teaching English at SMAN 1 Sanggar. The approach used in this research was descriptive research. Location of research at SMAN 1 Sanggar in Bima. This type of research was qualitative research, where the process data collecting using observation and questionnaire. As for the analysis the author uses descriptive qualitative analysis techniques, namely written data, observations to the location of the location directly, so that in this case the researcher seeks to conduct research that is describing thoroughly about the actual situation. The subjects in this study were three English teachers at SMAN 1 Sanggar in Bima. From the results of the research that has been done, the writer can conclude that the teacher's Pedagogic competence in Teaching English has been done to the students quite well. The forms include: in terms of teachers understanding the characteristics of students it has been carried out using learning strategies, learning methods, and learning materials that are appropriate to the needs of students. For aspects of teachers understanding learning theory and learning principles that educate with effective and varied learning, for aspects of curriculum development carried out to design learning activities that fit the needs of students.
IMPROVING STUDENTS VOCABULARY ACHIEVEMENT USING VOCABULARY CHARTS TECHNIQUE

This article investigates the technique of teaching vocabulary using Beare’s vocabulary charts. The technique helps to improve students’ mastery of English language and widens their passive and active vocabulary based on related word group areas. The relevancy between vocabularies in the charts is the vocabulary used in students’ daily activities. Adopting a Classroom Action Research, this study collected the data by using vocabulary charts, tests, field notes, checklist, and questionnaires. The result showed that the implementation of vocabulary chart has improved semester three students’ vocabulary achievement at Universitas Islam Balitar, Blitar. 77% of the students passed the minimum criteria of success in the first cycle, and 75% of the students passed the minimum criteria in the second cycle. This technique is beneficial to facilitate students in learning English vocabulary. Vocabulary word charts in teaching English vocabulary are thus recommended.
A Category Detection Method for Evidence-Based Medicine

Evidence-Based Medicine (EBM) gathers evidence by analyzing large databases of medical literatures and retrieving relevant clinical thematic texts. However, the abstracts of medical articles generally show the themes of clinical practice, populations, research methods and experimental results of the thesis in an unstructurized manner, rendering inefficient retrieval of medical evidence. Abstract sentences contain contextual information, and there are complex semantic and grammatical correlations between them, making its classification different from that of independent sentences. This paper proposes a category detection algorithm based on Hierarchical Multi-connected Network (HMcN), regarding the category detection of EBM as a matter of classification of sequential sentences. The algorithm contains multiple structures: (1) The underlying layer produces a sentence vector by combining the pre-trained language model with Bi-directional Long Short Term Memory Network (Bi-LSTM), and applies a multi-layered self-attention structure to the sentence vector so as to work out the internal dependencies of the sentences. (2) The upper layer uses the multi-connected Bi-LSTMs model to directly read the original input sequence to add the contextual information for the sentence vector in the abstract. (3) The top layer optimizes the tag sequence by means of the conditional random field (CRF) model. The extensive experiments on public datasets have demonstrated that the performance of the HMcN model in medical category detection is superior to that of the state-of-the-art text classification method, and the F1 value has increased by 0.4%–0.9%.
CONTENT ANALYSIS OF ENGLISH TEXTBOOK �INTERACTIVE ENGLISH� USED IN FIRST GRADE JUNIORHIGH SCHOOL IN 2013 CURRICULUM

The objectives of this study are to find out the suitability of impressionistic and in-depth analysis in the textbook entitles "Interactive English� used for the seventh grade of Junior High School. This research is conducted by applying descriptive qualitative. The data was collected by documenting the content materials on the textbook and it was analyzed by using Cunningsworth's theory. The result showed that an English textbook entitle �Interactive English" fulfilled the criteria proposed in Cunningsworth's theory concerning the impressionistic textbook analysis with score 96% and in-depth textbook analysis with the summative score 87%. From those summative scores, the textbook was categorized as a good enough textbook and suitable enough to use as media in teaching and learning process. &#x0D; &#x0D; [W81]Rata kanan dan kiri harus sesuai dengan tubuh artikel
Feature Extraction Techniques for Text Recognition of Indian Scripts

Several research works has been done by many researchers on Optical Character Recognition system. But various work has been done is on Greek, Chinese, English and Japanese characters. There has not been sufficient quality of work on text recognition of Indian languages like Bangla, Marathi, Malayalam, Telugu, Gujarati, Kannada, Gurumukhi and Oriya. The development of handwritten text recognition (HTR) is an interesting area in pattern recognition. In HTR, the set of features are very important in selecting the appropriate feature that produces little classification error. In this paper, we have presented a study on feature extraction and classification techniques used for character recognition of Indian scripts. In the fast moving world with the amazingly expanding technology, character recognitions play a ample role by providing more scope to perform research in OCR techniques.A considerable advancement in the work associated with the recognition of handwritten and printed text has been reported in last few years. From the last few decades offline handwritten text recognition has gained a lot of interest of researchers. It is well known that each individual people have some different writing style, so it is very difficult to identify or recognize the handwritten characters or numerals. Based on data gathering process a concise classification of recognition system has been discussed in this paper. Several feature extraction techniques & classifiers like, diagonal feature extraction, transition feature extraction, K-NN classifier (K-nearest neighbour) & SVM classifier (Support vector machine) are also illustrated in this paper. The methodology for word recognition has also been briefly explained in this paper.
UPAYA MENINGKATKAN HASIL BELAJAR MATEMATIKA SISWA SMA MELALUI MODEL PEMBELAJARAN KOOPERATIF TIPE SNOWBALL THROWING

Penelitian ini bertujuan mengumpulkan dan menganalisis data tentang upaya meningkatkan hasil belajar matematika melalui model pembelajaran kooperatif tipeÂ Snowball Throwing pada kelas XII IPA 3 SMA Negeri 18 Palembang. Penelitian ini menggunakan penelitian tindakan kelas (classroom action research) sebanyak dua siklus. Setiap siklus terdiri dari empat tahap, yaitu : rancangan, kegiatan dan pengamatan, refleksi, dan revisi. Subjek penelitian ini adalah siswa kelas XII IPA 3 SMA Negeri 18 Palembang Tahun Pelajaran 2015/2016. Dari hasil analisis didapatkan bahwa hasil belajar siswa mengalami peningkatan dari pra siklus, siklus I sampai siklus II, yaitu pra siklus (42,11%), siklus I (68,42%), siklus II (86,84%). Simpulan dari penelitian ini adalah model pembelajaran kooperatif tipe Snowball Throwing dapat berpengaruh positif terhadap hasil belajar peserta didik Kelas XII IPA 3 SMA Negeri 18 Palembang, serta model pembelajaran ini dapat digunakan sebagai salah satu alternatif pembelajaran matematika.Â Kata kunci : Hasil belajar, matematika, Â Snowball ThrowingÂ ABSTRACTThis study aims to collect and analyze data about efforts to improve mathematics learning outcomes through the Snowball Throwing cooperative learning model in class XII Science 3 of SMA Negeri 18 Palembang. This study uses classroom action research as much as two cycles. Each cycle consists of four stages, namely: design, activity and observation, reflection, and revision. The subjects of this study were students of class XII Science 3 of SMA Negeri 18 Palembang in the 2015/2016 Academic Year. From the results of the analysis found that student learning outcomes have increased from pre-cycle, cycle I to cycle II, namely pre-cycle (42.11%), cycle I (68.42%), and cycle II (86.84%). The conclusion of this research is the Snowball Throwing cooperative learning model can positively influence the learning outcomes of Class XII Science 3 students of SMA Negeri 18 Palembang, and this learning model can be used as an alternative to mathematics learning.Keywords : Learning outcomes, mathematics, Snowball Throwing
AN ANALYSIS OF STUDENTS READING FINAL EXAMINATION BY USING ITEM ANALYSIS PROGRAM ON ELEVENTH GRADE OF SMA NEGERI 8 MEDAN

The purpose of this study was to determine the quality of the reading final examination in SMA N8 Medan grade eleventh in terms of reliability, level difficulty, discrimination power and level of distractor. This research is qualitative-quantitative research. The subject of research are the grade XI of SMA N8 Medan. Data is analyzed by ANATES program version 4.0.9. The analysis shows that: (1) items of multiple choice question that can be said as valid are 14 items ( 56%), while the invalid items amounted to 11 items ( 44%). (2) Items mutiple choice question can said as reliable because it equal 0,90 so it can said reliable. (3) items of multiple choice questions that categorized easy are 3 items (12%), satisfactory category 7 ( 28%) difficult category 2 (8%) and the other calculate categorized very easy 3 items (12%) and very difficult 3 (12%). (4) items of multiple choice questions that categorized poor are 12 items (48%),average category are 2 items (8%), good items category 1 items (4%) and excellent items are 8 items (32%).
Solar Power Prediction using Recurrent Neural Network

The non-renewable sources of energy are limited and will get exhausted eventually. Looking at the current need of electric power and its fulfilment, the non-conventional way of generating this energy has become essential. Climate change and energy crisis have motivated us to make use of renewable non-conventional source of energy. This paper discusses the theoretical assumptions and design aspects of developing a Model which will predict the solar power generation beforehand. The paper aims at promoting the use of renewable source of energy by developing a model which will accurately predict the solar power generation. The suggested model uses Long Short Term Memory Recurrent Neural Network (LSTM RNN) Algorithms to predict the power generation which will be beneficial to both Industries and Residents.
Analisis Keberhasilan Sistem Informasi PMB AMIKOM Yogyakarta Dengan Metode The Updated Delone & Mclean Is Success Model

This study aims to analyze the relationship between system quality, information quality and service quality to the use of registration information systems online at pmb.amikom.ac.id web, and its effect on user satisfaction and net benefits. The model used in this study is the information system success model of The Updated Delon & Mclean. This model uses 6 measurements of success, namely system quality, information quality, service quality, user interest, user satisfaction.   Linear regression analysis used in this study as analysis tool. The results of this study are the quality of the system, the quality of information and the quality of service greatly influence user satisfaction and does not significantly influence the use and desires of users using the information system. Use variables and user satisfaction affect the net benefit. The conclusion of this study is the higher the quality of the system, the quality of information and the quality of service, the higher the level of user satisfaction. The higher usage, user desires and user satisfaction, the higher net benefits will be obtained. Keywords : System quality, information quality, service quality, online PMB, Delone and Mclean
BENEFÍCIOS DO DESIGN THINKING NA FORMAÇÃO DE BIBLIOTECÁRIOS INOVADORES

In a complex context of information and under the excess of content in which people are exposed, many provocations have been perpetuated in academic discourses regarding Information Technology and the role of librarians in the current scenario. The growing debates about challenges, borders, threats and solutions, several alternatives have been reproduced by the discourse and professional practice of the area for the benefit of its performance. The present work seeks to identify the benefits of Design Thinking for the educational formation of librarians capable of developing skills that promote innovation, able to offer services and products in their environments according to the real needs of users. In this way, it intends to apply a qualitative methodology of bibliographic revision, identifying the “state of the art” or reach of the reference sources regarding the characteristics and opportunities existing between Design Thinking, innovation and the librarians' competences, establishing, thus, the analysis of scientific literature that exposes the main experiences, concepts and technical terms to be used, as well as the interpretation of the relationship between them. Thus, it is hoped that the study can ensure relevant and up-to-date reflections on the library discipline, especially for the effective encouragement of Design Thinking techniques and tools in the development of competences that enable the generation of innovative products and services, reinforcing the importance the implementation of this discipline in the curriculum of librarian education and enhancing its performance in creative, collaborative and multidisciplinary activities.