Reviewerly/exHarmony huggingface dataset:
A study to correlate smear microscopy and rapid antigen detection techniques in the diagnosis of malaria

Introduction: Malaria is an endemic, tropical protozoan infection caused different Plasmodium species. A study was conducted to find the correlation between the peripheral blood smear and antigen demonstration for the detection of malaria. Materials and Methods: Study was conducted in the Department of Microbiology, GSL Medical College for 6 months. Peripheral blood smear stained by Giemsa technique ad commercially available rapid antigen detection kits were used for the diagnosis of malaria. Smear preparation and staining were carried as per WHO guidelines and manufacturer guidelines were followed to perform the test. Results: Among 98 the clinically diagnosed malaria cases in this study, 69 (70.4%) cases were identified as malaria positive. Out of these, 68% (47) were positive by blood smear examination and 87% (60) were positive by kit method and in the positive cases 35 were male and 34 were female participants. Conclusion: Rapid diagnostic tests were more sensitive in the diagnosis of malaria. However, other confirmatory tests such as PCR should be considered because some clinically proved cases were missed.
A Fully Convolutional Network based on Spatial Attention for Saliency Object Detection

The performance of the saliency object detection model is suppressed by the false and missed detections in saliency areas. How to effectively reduce the false predictions is an open issue. Unlike existing methods which add hand-craft features or post-processing steps, we propose a novel saliency object detection model based on the fully convolutional network and spatial attention. We first design a branch based on spatial attention which can enable the network to focus on the areas of saliency object. We further design a boundary branch aiming at get accurate object boundaries. Similar to spatial attention branch, we use one-dimensional convolution kernels to capture semantic information in different directions and reduce the number of parameters. We evaluate the model proposed in this paper on four common standard datasets with four common evaluation criteria. Experimental results show that the model we proposed outperforms the state-of-the-arts with less false predictions and accurate object boundaries.
Analysing Dependability and Performance of a Real-World Elastic Search Application

Increased complexity in IT, big data, and advanced analytical techniques are some of the trends driving demand for more sophisticated and scalable search technology. Despite Quality of Service (QoS) being a critical success factor in most enterprise software service offerings, it is often not a generic component of the enterprise search software stack. In this paper, we explore enterprise search engine dependability and performance using a real-world company architecture and associated data sourced from an ElasticSearch implementation on Linknovate.com. We propose a Fault Tree model to assess the availability and reliability of the Linknovate.com architecture. The results of the Fault Tree model are fed into a Stochastic Petri Net (SPN) model to analyze how failures and redundancy impact application performance of the use case system. Availability and MTTF were used to evaluate the reliability and throughput was used to evaluate the performance of the target system. The best results for all three metrics were returned in scenarios with high levels of redundancy.
FOREIGN AND DOMESTIC EXPERIENCE OF USING CLOUD TECHNOLOGIES IN THE EDUCATION PROCESS

The article summarizes the foreign and domestic experience of the introduction of cloud technologies in the educational process of higher education institutions. Examples of using a cloud-based learning environment in countries such as Australia, Spain, China, Germany, Northern Ireland, Singapore, the United States, Japan, Czech Republic and others are provided.The peculiarities of their application by students and professors of higher educational institutions are revealed, the software products created by leading IT companies for the introduction of cloud technologies into the higher education system are reviewed, such as Microsoft for Education, Google Apps for Education, Amazon AWS Educate end KhanAcademy. It is stated that the Academy has expanded its capabilities and offered courses in astronomy, biology, economics, history, art history, cosmology, medicine, music, healthcare, programming and informatics, physics, chemistry. It has been determined that, due to this environment, online communication and learning are present in educational institutions, students can get homework and study material for repetition. It is noted that cloud technologies allow solving at a new level a new task to activate the independent work of students with the possibility to choose the individual direction and the pace of study of the educational material, presenting information in interactive and audio-visual form, organizing classes with students in virtual laboratories, providing communication with students, remote in time and territorially in the process of organizing research activities (on-line research defense, remote conferences).The main ideas of leading domestic and foreign scientists dealing with the use of cloud technologies in education are presented. Examples of specific types, methods and forms of educational and research activities using cloud services are given.The legislative framework on the feasibility and necessity of implementation of information and communication technologies based on cloud technologies in Ukraine is presented. Partnership in Learning Program as a result of a memorandum signed by the Ministry of Education and Science of Ukraine and Microsoft is considered. The contradictions and conditions of their overcoming in the organization of preparation of the future teachers for the use of cloud technologies in the process of education and upbringing of students are determined.
Language Expression and Cognitive Dissonance of Indonesian Millennials in Delivering Ironical Tweets

This paper investigates the use of language expression and cognitive dissonance in the tweets by Indonesian millennials in delivering ironical responses. It identifies the type of language expressions used by ten young male and female users in Indonesian Twitter. The analysis employed the theory of language expressions proposed by Gibbs (2000) and Festinger's theory on cognitive dissonance (1957). The data were collected from the tweets in February 2019. The results show that the language expressions used by young male and female users were different in delivering the cronical responses. The male users tend to use jocularity expression while female use sarcasm. On cognitive dissonance, Indonesian millennials prefer disagreement to make an excuse from what they believe in as an effort to make their idea acceptable by others. Further studies are recommended to investigate another type of language expression such as the use of hyperbole in delivering ironical responses in social media.
Correction to: Einstein’s Gyros

The article ‘Einstein’s Gyros’ written by József Illy was originally published electronically
BEST PRACTICE PENYEDIAAN AKSES KOLEKSI E-BOOK DI PERPUSTAKAAN IAIN JEMBER

The aims of this study is describes the best practices in providing access to e-book in the JAIN IAIN library. The method used is the best practice method by paying attention to every step that has been applied at the study site. Data retrieval is done by observation, literature study, and interviews. The results of the research show that the best practice carried out at the IAIN Jember Library in providing access to e-book collections is able to become a new service at the library. Not only that, the provision of these services is a lighter interest of users to access library collections. The e-book collection is also an alternative service that can be enjoyed by users in meeting their information needs. The results of these studies can be made recommendations for libraries who want to implement e-book services based on the condition of their respective resources.
tool for assessing multiliteracy in higher education

This study describes the premises underlying Voremetur, a project conducted in the context of higher education. It hypothesises the need to support a competence education method adapted to new educational formulas (from e- to m-learning), new educational challenges (e-science, big data) and the convergent competences now characterised as info-communication literacy, which has favoured the transition from edu-communication to multiliteracy. Such competences should be organised into competence programmes, where the assessment of the beneficial results for learners and the university should be included as an essential element. The article discusses an assessment model for new literacies, including its conceptual framework, ideal evaluation tools and conversion into an ad hoc questionnaire. Lastly, the paper describes model application to a target group and analyses the results most relevant to information behaviour.
Mengukur Penggunaan Sistem Informasi Akademik dalam Manajemen Akademik di IAIN Bengkulu

The purpose of this study is to measure the extent of the use of Academic Information System applications by student users, lecturers and management / administrators. The research method uses the theory of DeLone and McLearn Information System Success Model to measure qualitatively the use of Information Systems from the completeness of the functions / features of the application, reliability / stability, ease of use, data security, application flexibility, timeliness and management of Academic Information System applications. The results of the study, obtained information that: 1) students, lecturers and management / administrators are able to use the features / functions of the application but need to be improved socialization and education of users, 2) students, lecturers and management / administrators feel the stability / reliability of the application is good, 3) students , lecturers and management / administrators feel the ease of use of the application, 4) students, lecturers and management / administrators feel the data security is quite good but there needs to be increased data security, 5) students, lecturers and management / administrators feel the flexibility of the application is good, 6) students , lecturers and management / administrators still feel that they are not punctual in using the application due to network problems and internet access, 7) students, lecturers and management / administrators have felt quite satisfied with the management of existing applications to carry out administration and academic services. Conclusions, Academic Information Systems owned by IAIN are good enough from the dimensions of the completeness of application functions / features, application reliability / stability, ease of use, data security, application flexibility, timeliness and management of Academic Information System applications.&#x0D; Keywords: Academic Management, Academic Information Systems
Performance Analysis of Structured Matrix Decomposition with Contour Based Spatial Prior for Extracting Salient Object from Complex Scene

Automatically extracting most conspicuous object from an image is useful and important for many computer vision related tasks. Performance of several applications such as object segmentation, image classification based on salient object and content based image editing in computer vision can be improved using this technique. In this research work, performance of structured matrix decomposition with contour based spatial prior is analyzed for extracting salient object from the complex scene. To separate background and salient object, structured matrix decomposition model based on low rank matrix recovery theory is used along with two structural regularizations. Tree structured sparsity inducing regularization is used to capture image structure and to enforce the same object to assign similar saliency values. And, Laplacian regularization is used to enlarge the gap between background part and salient object part. In addition to structured matrix decomposition model, general high level priors along with biologically inspired contour based spatial prior is integrated to improve the performance of saliency related tasks. The performance of the proposed method is evaluated on two demanding datasets, namely, ICOSEG and PASCAL-S for complex scene images. For PASCAL-S dataset precision recall curve of proposed method starts from 0.81 and follows top and right-hand border more than structured matrix decomposition which starts from 0.79. Similarly, structural similarity index score, which is 0.596654 and 0.394864 without using contour based spatial prior and 0.720875 and 0.568001 using contour based spatial prior for ICOSEG and PASCAL-S datasets shows improved result.
Creative Forms and Means of Service for Users of Modern Libraries

The purpose of the article is to define modern creative forms of service for users of public libraries, to find out the assortment of the most popular ones with the purpose of distribution based on this experience of libraries of Ukraine.Research methodology. The article considers the features of modern library services; special attention is paid to the main forms and means of service.Results. Interaction with users in the library takes place through the service process, which is an important indicator of the viability of the institution, determining its active participation in informing society and citizens. Effective service of modern users is based on digital technologies of information provision, but their mastering by libraries is not the only condition of quality of library and information service. Now library users need not only information in a convenient format and comfortable conditions of its consumption, but also a unique place where there are opportunities to learn, develop, communicate, rest, self-realization, receive professional consultation of specialists. The article presents creative forms and means of services for users of public libraries. Special attention is paid to the systematization of forms and means of service and their application in public libraries. The author analyzes the leisure activities of public libraries of Ukraine, organizes forms and means of service in public libraries and describes the most popular ones.Novelty. The article is the first attempt to analyze and systematize forms and means of service in public libraries of Ukraine.The practical significance. The paper may be of a particular interest to the specialists in library and information science.
Blotch Inpainting Based On Sift Feature Extraction in Old Films

Old films may be subject to various defects, such as blotches, scratches, noise, flicker, fading and color changes. Here, one of the most common defects is the blotches. They are characterized in containing approximately constant intensity and irregular shapes and also in a random spatial position in successive frames. In this paper, a spatiotemporal inpainting technique based on the feature extraction in the blotch regions is proposed to not consider dependence on the motion estimation. First, based on the presence of blotches in the current video frame, the scale-invariant feature transform (SIFT) is used for the feature extraction in the proposed method. Then, the method implements a spatiotemporal algorithm for correction of blotch regions, considering the feature extraction points. The results are compared with the partial differential equations (PDEs)-based inpainting model, which is frequently used to fill small gaps in the image, and the video inpainting method.
Museum: its Role and Importance in the Cultural and Educational Space of the Ukrainian Schoolchildren (According to the Social Survey of Schoolchildren of the Kharkiv Gymnasium no. 14)

The aim of this paper is to study the museum space in the context of its perception by middle-aged Ukrainian teenagers.Research methodology is based on a set of civilization and deterministic tasks that are simultaneously realized through sociological research. The article is based on a standard questionnaire and open-ended sociological survey conducted on the basis of Kharkiv Gymnasium No. 14.Results. The article states that the museum as a social and cultural institute is an unconditional importance for middle school students. In addition, the survey shows that the entertaining sides of the museum, which has the status of an academic, cultural and educational institution, should not be over-cultivated. The entertaining role of the museum should not be underestimated, since this function (in relation to the educational value) can be an additional incentive to activate cultural and educational tasks. According to the statement of one of the students, the most important conclusion is that the successful functioning of museums depends largely on the request of society, children consciousness and value priorities.Novelty. The article reveals the aspect of the role and importance of the museum in the cultural and educational space of the Ukrainian student, directly focused on the use of museum pedagogy in the educational space. The novelty of the article is that there is a lack of intelligence directly focused on the use of museum pedagogy in the educational space of Eastern European countries.The practical significance is that the results of the article can be used for further in-depth study of the role and importance of the museum in the cultural and educational space of the Ukrainian school.
Multi-Scale Scene Text Detection Based on Convolutional Neural Network

Faster R-CNN has advantages in object detection task. But in face of the variability of text and interference of the external factors, it cannot achieve perfect detection results in natural scene text detection. Moreover, the text detection algorithms based on deep learning need to use large data sets to train the network, while in some special scenarios where a mass of samples cannot be obtained, the performance of these algorithms is likely to be limited. How to accurately detect text in natural scene based on small data sets is a challenging issue. To address this issue, a multi-scale text feature extraction network with feature pyramid based on Faster R-CNN is proposed, which can accurately and comprehensively express complex and changeable text features in natural scenes even in the small data cases. Experiment results show that the proposed MSTD method is very competitive with existing related architectures.
Distributed Estimation Fusion for Maneuvering Target Based on Consensus Method and Cubature Kalman Filter with Switching Topologies Network

This paper proposes a distributed estimates fusion algorithm for target tracking problem based on consensus method and cubature kalman filter with switching topology network. In order to get the accurate state information of maneuvering target via sensor network, this paper develops filter algorithm by taking the advantage of consensus method and cubature kalman filter. Firstly, each sensor node gets the local estimation by performing cubature kalman filter algorithm. Secondly, we develops a fusion protocol to fuse the estimates from each sensor node in the sensor network based on the consensus method. In this step, the switching topologies of sensor network is considered and the sufficient condition for the algorithm proposed in this paper is given. Besides, this paper analyses the boundedness of the algorithm proposed and gives the detailed proof of convergence. Finally, a simulation example is presented to illustrate the effectiveness of the proposed algorithm.
Komik Digital Sebagai Strategi Bisnis Media Online Olahraga: Studi Pada Gorilasport.Com

The online media industry is growing rapidly now. The presence of various types of online media is coloring competition in the media industry. Media business is a gap to find a background that is the principle of a news portal. Gorilasport.com is a news portal that provides information about sports with the main content of digital comics. They use digital comics as the main content in presenting news that can be seen on a news portal. So, this research aims to analyze digital comic in online media business in Indonesia by sports news portal Gorilasport.com. This study uses the post-positivist paradigm with a qualitative approach and the type of research is descriptive. The unit of analysis is Gorilasport.com media organization. The concept used is the strategy of media business, digital comics and online sports media with the help of previous research studies. Data collection techniques were carried out with interviews and documentation. The data analysis technique uses the Miles and Huberman models. To test the validity of the data the researcher used source triangulation. The results show that media businesses using digital comic. The advantage gained is that this business can continue without content presentation, is liked by the public and is not easily boring.
Aircraft Group Recognition Based On Archimedes Spiral

Although the recognition of dense population has already been very mature, the methods and strategies of sparse target groups recognition are still few. In this paper, a sparse group target recognition method based on Archimedes spiral is proposed, which has rotation invariance and scale invariance, so the recognition accuracy is greatly improved. At the same time, a similarity measure method based on probability density function and loss function is presented. In terms of identifying aircraft groups, accuracy is greatly improved compared to other methods.
Prosody in read aloud text: relation with information status, content type and boundary strength

In two short stories three text characteristics have been implemented independent of each other: information status, content type, and boundary strength.Thus, each characteristic could be assessed for its unique effect on prosody.Both stories were read aloud by ten speakers.No effects were found for pitch range and articulation rate, but pause duration did vary systematically with each of the text characteristics.Effects ranged from small for information status to moderate for content type, and large for boundary strength.
Reflecting on CAP

This article was part of a special issue on the CAP theorem. In the seven years since its publication, it has become one of the more influential articles from Computer. It ranks 21st, with 4,251 downloads and 155 citations. Yet, it presented nothing new. Instead, it tried to get us to think differently about shared databases and spur system designers.
Resource Allocation of the Early Warning System for Hypersonic Vehicles

The hypersonic vehicles have the characteristics of high flying height, high speed and strong maneuverability. Current early warning systems typically allocate resources only for conventional targets, and there are few resource allocation methods for hypersonic vehicles. In this paper, the Markov model of hypersonic vehicles is established based on the motion characteristics of the target, and an early warning resource allocation method based on hidden Markov model is proposed. Among them, based on the information entropy, the information generated by the consumption of unit resources is used as the objective function of resource allocation, so that resources can be used reasonably. Finally, the validity and feasibility of the proposed model are verified by case study.