Reviewerly/exHarmony huggingface dataset:
Summary of: On the Expressiveness of Modal Transition Systems with Variability Constraints

Modal transition systems (MTSs) and featured transition systems (FTSs) are widely recognised as fundamental behavioural models for software product lines. This short paper summarises the contributions published in [3]: MTSs with variability constraints (MTS$$\upsilon $$s) are equally expressive as FTSs. This is proved by giving sound and complete transformations of the latter into the former, and of the former into the latter. The benefits of this result are twofold. First, it contributes to the expressiveness hierarchy of such basic models studied in the literature. Second, it provides an automatic algorithm from FTSs to MTS$$\upsilon $$s that preserves the original (compact) branching structure, thus paving the way for model checking FTSs with the variability model checker VMC.
The Essence of the Modular Competency Approach in Training Workers

The theme of the research work is the essence and importance of the modular competence approach in the training of workers. The aim of the research is the theoretical substantiation of the value of modular competence approach in improving the efficiency of training. In addition, the consideration of domestic experience in the application of modular training, which is the basis of modular and competence-based approach, the analysis of foreign experience, scientific-pedagogical literature on a modular competency-based approach, consideration of the application of modular competency-based approach in college defines the objectives of the study. The main focus of the work is the disclosure of the concept of “modular competence approach” in the training of a working specialist. The leading idea of the study: in the case of the introduction of modular competence approach in the process of training of workers, professional competence of the future specialist is formed and in modern conditions it is possible to train a specialist that meets the needs of the labor market. On the topic analyzed domestic and foreign pedagogical literature, the content analysis of the concepts of “module”, “competence”, “approach”, on the basis of which the author’s definition of the concepts of “module”, “competence”, “approach” and “modular competence approach”, not systematized in the scientific and pedagogical literature. In particular, the meaning of the term “approach”, which has not been studied so far in the literature in the Kazakh language. The authors came to it by content analysis of the analogue in Russian. Key words: modular training, modular competence approach, training of the working specialist, content analysis. &nbsp
Effectiveness of forms of teachers' assistance to third graders, fourth graders and fifth graders with difficulties in learning maths

Mathematics is a school subject present in all grades. Besides, it is almost impossible to imagine a life without it, because it is needed in many life situations. Children confront it already at an early age and later it is an obligatory subject for all students.Mathematics, and the achievements in this field, are highly appreciated among the Slovene population, maybe even more than its mother tongue. However, many students feel uncomfortable during maths lessons. We can even say that in the last few years the number of students with learning difficulties in mathematics classes has risen. This is why teachers have to be even more prepared for such difficulties and react appropriately when they occur.The theoretical part of the master’s thesis firstly presents learning difficulties that are present in practically every school. Causes for them and measures to help with such difficulties are also listed. Then, learning difficulties that students have in mathematics classes are defined in greater detail. We have focused mainly on tutoring mathematics and different types of learning assistance used with this subject. We focused on the five-stage model, especially on the types of learning assistance that can be provided by teachers. As the most important, even according to the five-stage model, we chose the good mathematics teaching practice that can be guaranteed and carried out by a teacher. The teacher is the one who has to present the terminology to the students in an appropriate way. This can be done gradually, by starting with concrete examples followed by graphical representation and finally introducing mathematical symbols. At the first stage of the five-stage model students with learning difficulties are offered additional group classes to practice what they have learned. At the third stage the teacher can carry out individual or group tutoring lessons.The results of the empirical research have shown that teachers of 3rd, 4th and 5th grades of primary school are familiar with learning difficulties in mathematics and can often recognize them. Consequentially, it can be deduced that they also adjust the methods and forms of work in the classroom accordingly. Based on a five stage scale evaluation, they estimated that they have a good knowledge of the five-stage model of offering help with mathematics. Most interviewees gave themselves the highest score when asked to rate their success with offering help in regular classes, additional classes and individual and group tutoring lessons.As part of the empirical part of the thesis, students’ opinions regarding different types of learning assistance offered by teachers with mathematics classes were also researched. Most students are progressing because of the appropriate treatment on the first and third stage of the five-stage model of offering help. All interviewed students agree that regularly attending additional classes in mathematics has positive results with their success.
An Instant Approach with Visual Concepts and Query Formulation Based on Users’ Information Needs for Initial Retrieval of Lifelog Moments

Smart devices, such as smartphones and wearable cameras, have become widely used, and lifelogging with such gadgets has been recognized as a common activity. Since this trend produces a large amount of individual lifelog records, it is important to support users’ efficient access of their personal lifelog archives. NTCIR Lifelog task series have studied the retrieval setting as a task called Lifelog Semantic Access sub-task (LSAT). This task is that, given a topic of users’ daily activity or events, e.g. “Find the moments when a user was eating any food at his/her desk at work”, as a query, a system retrieves the relevant images of the moments from users’ lifelogging records of their daily lives. Although, in the NTCIR conferences, interactive systems, which can utilize searchers’ feedback in the retrieval process, have showed the higher performance than systems in automatic manner without users’ feedback in the retrieval process, interactive systems rely on the quality of initial results, which can be seen as results of automatic systems. We envision that automatic retrieval that will be used in interactive systems later. In this paper, therefore, based on a principal that the system should be easy to implement for the later applicability, we propose a method scoring lifelog moments using only the meta information generated by publicly available pretrained detectors with word embeddings. Experimental results show the higher performance of the proposed method than the automatic retrieval systems presented in the NTCIR-14 Lifelog-3 task. We also show the retrieval can be further improved by about 0.3 of MAP with query formulation considering relevant/irrelvant writing about multimodal information in query topics.
Pfeiffer Library: Crossref Tutorial: Help!

Tutorial to accompany the Crossref database. Provides links to additional resources that were not otherwise mentioned.
Economic Diversification of Nigeria and Small and Medium Scale Enterprise (SME) Development (2000-2017)

The broad objective of this paper is to assess the extent of relationship between economic diversification of Nigeria and SME development.Specifically, this paper seeks to ascertain the extent of relationship between new business development in Nigeria and technical skills acquisition by Nigerians.Expo-facto research design was adopted for the study, a panel data of 2000-2017 was used for the study, the augumented Dickey Fuller root test was used to test the stationarity of the data, while the analysis of the data was done using regression analysis.The findings revealed that there is a relationship between new business development in Nigeria and technical skills acquisition by Nigerians since (R 2 =0.93,R -2 =0.89, F=49.65).The researcher therefore concluded that economic diversification of Nigeria impacts SME development.It was against this backdrop that the researchers recommended that the Nigerian government should strive towards an improvement of the credit available to SME's and the Nigerian government should enactment and implement policies that would help curb the inflation rate in Nigeria as it affects the performance of SME's
Enriching Existing Conversational Emotion Datasets with Dialogue Acts using Neural Annotators

The recognition of emotion and dialogue acts enriches conversational analysis and help to build natural dialogue systems. Emotion interpretation makes us understand feelings and dialogue acts reflect the intentions and performative functions in the utterances. However, most of the textual and multi-modal conversational emotion corpora contain only emotion labels but not dialogue acts. To address this problem, we propose to use a pool of various recurrent neural models trained on a dialogue act corpus, with and without context. These neural models annotate the emotion corpora with dialogue act labels, and an ensemble annotator extracts the final dialogue act label. We annotated two accessible multi-modal emotion corpora: IEMOCAP and MELD. We analyzed the co-occurrence of emotion and dialogue act labels and discovered specific relations. For example, Accept/Agree dialogue acts often occur with the Joy emotion, Apology with Sadness, and Thanking with Joy. We make the Emotional Dialogue Acts (EDA) corpus publicly available to the research community for further study and analysis.
LibGuides: .Music Subject Guide: Name that work!

Recommended library and web resources for the study of music. Just one example of how a single work might be titled many ways.
RFID Technology: A New Approach in Library Management System

Radio Frequency Identification (RFID) is a technology that facilitates non line of sight identification of items. This is the latest technology used in libraries for managing the automated library and for theft detection. Implementing RFID system in libraries will aid tasks such as circulation, re-shelving and theft detection, etc. The paper discussed about importance of implementing RFID system in library management systems by discussing its benefits, disadvantages, components.
Minimum Spanning Tree Clustering Based on Density Filtering

Clustering analysis is an important method in data mining. In order to recognize clusters with arbitrary shapes as well as clusters with different density, we propose a new clustering approach: minimum spanning tree clustering based on density filtering. It masks the low-density points in the density filtering step, which reduces the interference of noise and makes the gap between clusters clearer. It uses relative values of adjacent distances to find mutations of density and changes between clusters to divide data sets. It is tested on multiple synthetic data sets and real-world data sets, the results of which show that the algorithm is able to detect clusters with arbitrary shape and it is insensitive to the imbalance of density between clusters. It has achieved great results on multiple data sets.
Peningkatan Kemampuan Menulis Berita Melalui Media Gambar Berseri Mahasiswa Tingkat 1 Program Studi Diii Gizi Poltekkes Kemenkes Padang

Findings from the results of the author's interviews with Indonesian language lecturers as well as level 1 students of the D3 Nutrition Science Study Program of the Polytechnic of the Ministry of Health in Padang are, students have not been able to write news, because of the following things. First, they have the lack of students' ability in writing. Second, students are less able to develop the elements of building news. Third, ineffective learning media used by lecturers. Based on the aforementioned problems, the authors think it is important to carry out classroom action research aimed at improving the ability to write news with serial images of students of level 1 of the D3 Nutrition Science program at the Health Ministry of Health in Padang. The selection of this serial image media is thought to be appropriate for learning to write news, because through this image media students are motivated because the media can be touched, seen and observed. In addition, the use of image media is thought to be easy for students to understand so students will more easily express their ideas or ideas in writing news. This class was chosen because the ability to write news in learning is low when compared to other classes, this is evidenced by the acquisition of the results of the writing test exposition of semester I of the academic year 2017/2018. The type of this research is classroom action research with the research subject level 1 of the Nutrition D III Study Program with 39 students. The research was carried out in semester 2 of the 2018/2019 school year. Data collection tools used were student activity observation sheets and final tests. Data analysis techniques used are descriptive and analysis of learning outcomes. This research consisted of two cycles and each cycle was held twice. The results of the study in each cycle are pre-cycle with an average value of 70.87 students, the first cycle with an average value of 86.46 students and the second cycle 93.74, this shows student activity tends to increase. Furthermore, it was concluded that lectures on learning to write news with serial image media can increase the activity and learning outcomes of students in level 1 of the D III Nutrition Study Program of the Health Ministry of Health in Padang.
Deep Learning Data Augmentation Approach to Improve Cancer Segmentation Performance across Different Scanners

Deep Learning Data Augmentation Approach to Improve Cancer Segmentation Performance across Different Scanners
PENGEMBANGAN KOLEKSI DALAM BIDANG PENGADAAN BAHAN PUSTAKA DI SEKOLAH TINGGI ILMU KESEHATAN SUMATERA UTARA (STIKESSU) MEDAN

&lt;div style="left: 161.167px; top: 303.122px; font-size: 19.4935px; font-family: serif; transform: scaleX(0.96769);"&gt;This research hold in Sekolah Tinggi Ilmu Kesehatan Sumatera Utara (Stikessu) Medan,&lt;/div&gt;&lt;div style="left: 161.167px; top: 325.864px; font-size: 19.4935px; font-family: serif; transform: scaleX(0.989065);"&gt;the aim of this research is to know how is the development collection in supplying the&lt;/div&gt;&lt;div style="left: 161.167px; top: 348.606px; font-size: 19.4935px; font-family: serif; transform: scaleX(0.969112);"&gt;library stock in Stikessu. The method is descriptive research with qualitative approach.&lt;/div&gt;&lt;div style="left: 161.167px; top: 371.349px; font-size: 19.4935px; font-family: serif; transform: scaleX(0.987612);"&gt;The informers is all the librarier of Stikessu. The technique of the data collections are&lt;/div&gt;&lt;div style="left: 161.167px; top: 394.091px; font-size: 19.4935px; font-family: serif; transform: scaleX(0.946023);"&gt;interview, observation and library study. The result of this research shows that the&lt;/div&gt;&lt;div style="left: 161.167px; top: 416.833px; font-size: 19.4935px; font-family: serif; transform: scaleX(0.944667);"&gt;development collection in supplying the library stock in Stikessu are though buying&lt;/div&gt;&lt;div style="left: 161.167px; top: 439.576px; font-size: 19.4935px; font-family: serif; transform: scaleX(0.974674);"&gt;from the publisher directly, order from publisher, and from the gift or contribution from&lt;/div&gt;&lt;div style="left: 161.167px; top: 462.318px; font-size: 19.4935px; font-family: serif; transform: scaleX(1.00986);"&gt;the users or university students who will graduate by giving money which is already&lt;/div&gt;&lt;div style="left: 161.167px; top: 485.061px; font-size: 19.4935px; font-family: serif; transform: scaleX(0.983711);"&gt;decidedby the head of Stikessu. It will use to library needed or library progress.&lt;/div&gt;&lt;div style="left: 161.167px; top: 524.866px; font-size: 19.4935px; font-family: serif; transform: scaleX(0.951229);"&gt;Keyword&lt;/div&gt;&lt;div style="left: 231.554px; top: 524.866px; font-size: 19.4935px; font-family: serif; transform: scaleX(0.984718);"&gt;: Collection Development, Supplying the Library Stock in Stikessu&lt;/div&gt;
Identifying Military Veterans in a Clinical Research Database using Natural Language Processing

BackgroundThere is a lack of quantitative evidence concerning United Kingdom veterans who access secondary mental health care. This is mainly due to a person&amp;#8217;s veteran status not being routinely collected when they enter the health care system.&#x0D; Main AimThe study aimed to develop an NLP approach for identifying veterans accessing secondary mental health care services using National Health Service electronic health records.&#x0D; MethodsVeterans were identified using the South London and Maudsley Biomedical Research Centre (SLaM) case register – a database holding secondary mental health care electronic records for the South London and Maudsley National Health Service Trust of 300,000 patients. We developed two methods. An NLP and machine learning tool were developed to automatically evaluate personal history statements written by clinicians.&#x0D; ResultsThis study showed that it was possible to identify veterans using the NLP and machine learning approach on a sub-set of 4,200 patients. The automatic machine learning method was able to identify 270 veterans representing an accuracy of 97.2%. It is estimated to take between 6 to 16 minutes to manually search patient history statements whereas the automatic machine learning method took only one minute to run.&#x0D; ConclusionWe have shown that it is possible to identify veterans using NLP combined with machine learning. This work contributes towards the development of a more comprehensive picture of veterans who are accessing secondary mental health care services in the UK. It represents a first step in identifying veterans from one dataset and we hope that future research can inform the possibility of deploying the methods nationally. Despite our success in the current work, the tools are tailored to the SLaM dataset and future work is needed to develop a more agnostic framework.&#x0D; FundingForces in Mind Trust
The similarity to quantum state space, generalised qplexes and 2-designs

We study the class of quantum measurements with the property that the image of the set of quantum states under the measurement map transforming states into probability distributions is similar to this set and call such measurements morphophoric. This leads to the generalisation of the notion of a qplex, where SIC-POVMs are replaced by the elements of the much larger class of morphophoric POVMs, containing in particular 2-design (rank-1 and equal-trace) POVMs. The intrinsic geometry of a generalised qplex is the same as that of the set of quantum states, so we explore its external geometry, investigating, inter alia, the algebraic and geometric form of the inner (basis) and the outer (primal) polytopes between which the generalised qplex is sandwiched. In particular, we examine generalised qplexes generated by MUB-like 2-design POVMs utilising their graph-theoretical properties. Moreover, we show how to extend the primal equation of QBism designed for SIC-POVMs to the morphophoric case.
IMPLEMENTASI PENGADAAN BAHAN PUSTAKA DI PERPUSTAKAAN PERGURUAN TINGGI STUDI PADA PERPUSTAKAAN UNIVERSITAS BRAWIJAYA

&lt;p&gt;&lt;span style="color: #242021;"&gt;&lt;span class="fontstyle0"&gt;Acquisition of library materials is one of the core activities in the collection development. Therefore,the implementation requires a good planning. The purposes of this research are to find out about the implementation of library materialsacquisition in the Library of Brawijaya University along with the obstacles faced in the process of acquisition of the library materials. The method used in this research are observation, interview, and documentation. The results found that the acquisition’s team managesthe library materials selection, the library materials acquisition, and the inventory process of the library materials. These activities are carried out by the collection development subfield. The acquisition of the library materials obtained from purchases and gifts/donations. Long bureaucracy, limited funds, discrepancies between library materials ordered with library materials received, and limited human resources allegedly become obstacles in the procurement of library materials in the Library of Brawijaya&lt;br /&gt;University.&lt;br /&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span style="color: #242021;"&gt;&lt;span class="fontstyle2"&gt;&lt;strong&gt;Keywords&lt;/strong&gt;&lt;/span&gt;&lt;span class="fontstyle3"&gt;: Pengadaan Bahan Pustaka, Pengadaan Buku, &lt;/span&gt;&lt;span class="fontstyle0"&gt;Collection Development&lt;/span&gt;&lt;span class="fontstyle3"&gt;, &lt;/span&gt;&lt;span class="fontstyle0"&gt;Acquisition&lt;/span&gt;&lt;span class="fontstyle3"&gt;, Perpustakaan UB, UB Library.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
A Pinch of Django

One of the most important considerations that one needs to make when designing software services is the programming language and the frameworks associated with it to use during the project.
Imagining intelligent artefacts : Myths and a digital sublime regarding artificial intelligence in Swedish newspaper Svenska Dagbladet

Artificial intelligence (AI) has over the past years become a hot topic for discussion in Sweden, as the technology presents exciting unique possibilities and challenges for the country and its cit ...
E-RESOURCES SEBAGAI PENYEDIA INFORMASI MURAH DAN BERKUALITAS (STUDI KASUS PERPUSTAKAAN NASIONAL REPUBLIK INDONESIA)

&lt;p&gt;This paper aims to explain e-resources as a provider of information in the National Library of the Republic of Indonesia. In this paper using qualitative research methods descriptive case study approach in the National Library of the Republic of Indonesia with data collection methods through literature review. The result of the discussion is to know the role of e-resources as a provider of quality information and guidelines for accessing e-resources owned PNRI provided for the wider community so that the public and users of National Library of the Republic of Indonesia can obtain the information&lt;br /&gt;needed cheap and cheap.&lt;/p&gt;&lt;p&gt;Keywords : E-resources, Information, National Library of the Republic of Indonesia, PNRI&lt;/p&gt;