Reviewerly/exHarmony huggingface dataset:
An Efficient Image Search for Content Based Image Retrieval using Semantic-Assisted Visual Hashing

The CBIR system can be used to recover medical images associated with different diseases. The purpose of medicine information system is about providing the right information, at the right time, in the right place, to the right person. This improves the quality and efficiency of the patient care process. In clinical decision manufacturing process, it is important to find other images for a given query. . This is done using the content-based image recovery technique. Data mining is the technique of sorting through massive figured devices in get awareness about the human habits and place up human relationships to resolve problems via figure evaluation. Data gold mining apparatus gives business to anticipate the future qualities. Quality content material-based search offers a large volume of picture selections totally, while both effectiveness and performance are essential problems. An advanced indexing form is essential to scale the large statistics, facilitate the correct assessment.. This is a new technology that supports scalable content-based image retrieval (CBIR) hashing. Recently, CBIR has been focused with the future directions in the field of research. The Unsupervised visual hashing approach called semantic assisted visual hashing (SAVH) has a semi-supervised and supervised visual blending process. This approach is based on a strictly hidden rich semantics integrated into auxiliary image texts to increase the efficiency of visual clutter without any semantic labels. The most native technique for CBIR is to examine query photographs with each sample saved in the database sequentially. Its linear intricacy results in the poor expressions and performance scalability in the actual environment. Also, visual features normally have high dimensions. Picture access is normally transported out while using the complementing features of any predicament picture with the types within the photo data source. It may end up being categorized as textual content, which is primarily contentbased. To extend the scope, an unsupervised framework is deviced to learn hash codes simultaneously preserving the visual similarities of the images, integrating the semantic assistance of the texts on modeling high inter-image relationships, and defining correlations between images and shared content. The present study recommends a book unsupervised visible hashing system, termed as SAVH, to perform visual hashing learning effectively.
Image Details Enhancement Method via Spectrum Total Variation

In order to enhance the texture details of images and preserve the complete structure of images, we propose a novel image detail enhancement method based on spectral total variation, which combines the total variation method and spectral analysis method. Firstly, the total variation flow, as a non-ideal high-pass filter, decomposes image and obtains the spectral characteristics of different time scales in the transform domain. The transform domain can be regarded as a frequency domain. Then, we construct a special filter in the transform domain, and the spectrum features are filtered and enhanced by the filter. Finally, according to the proposed reconstruction method, the filtering results in the transform domain are inversely converted to the spatial domain, that is, the final enhanced image is obtained. The experimental results show that the proposed spectral total variation method can effectively use the spectral information of the image to enhance the local details, so that the enhanced image can obtain more prominent texture information, while maintaining the integrity of the image structure.
Efficient and Privacy-Preserving Multi-User Outsourced K-Means Clustering

In recent years, with the development of the Internet, the data on the network presents an outbreak trend. Big data mining aims at obtaining useful information through data processing, such as clustering, clarifying and so on. Clustering is an important branch of big data mining and it is popular because of its simplicity. A new trend for clients who lack of storage and computational resources is to outsource the data and clustering task to the public cloud platforms. However, as datasets used for clustering may contain some sensitive information (e.g., identity information, health information), simply outsourcing them to the cloud platforms can&amp;#39;t protect the privacy. So clients tend to encrypt their databases before uploading to the cloud for clustering. In this paper, we focus on privacy protection and efficiency promotion with respect to k-means clustering, and we propose a new privacy-preserving multi-user outsourced k-means clustering algorithm which is based on locality sensitive hashing (LSH). In this algorithm, we use a Paillier cryptosystem encrypting databases, and combine LSH to prune off some unnecessary computations during the clustering. That is, we don&amp;#39;t need to compute the Euclidean distances between each data record and each clustering center. Finally, the theoretical and experimental results show that our algorithm is more efficient than most existing privacy-preserving k-means clustering.
PENINGKATAN KETERAMPILAN MEMBACA PEMAHAMAN CERITA BIMA BUNGKUS MELALUI STRATEGI PQ4R DENGAN MEDIA POWERPOINT PADA SISWA SMA

The purpose of this research is to improve being student active and reading comprehensive skill story of Bima Bungkus by applying PQ4R strategy with media PowerPoint among X MIPA 3 SMA Negeri 3 Boyolali on 2016/2017. The type of this research is a Classroom Action Research, it contains of two cycles. Each cycles consists of four phases, they are planning, acting, observing, and reflecting. Research subject are teacher and X MIPA 3 SMA Negeri 3 Boyolali amoung 36 students. Source of data are derived from report, event of learning and document. Data collection techniques that used are interview, observation, test and documentation. Data validity techniques use data data source triangulasion and method triangulasion. Data analyzed techniques use descripstive comparative analysis technique and critical analysis technique. The conclusion of the research is the applying of PQ4R strategy (Preview, Question, Read, Reflect, Recite, Review) with media PowerPoint can improve being student active and reading comprehension skill of story Bima bungkus among X MIPA 3 SMA Negeri 3 Boyolali.
РАЗВИТИЕ ПРОФЕССИОНАЛЬНОЙ КОМПЕТЕНТНОСТИ ПЕДАГОГА НА ОСНОВЕ ДЕЯТЕЛЬНОСТНОГО ПОДХОДА

The article attempts to review the professional competencies of teachers from the perspective of an activity approach. The problems of modernized structures for the development of psychological and pedagogical competency based on the requirements of the Gosstandart of teacher education are being updated.
Ψηφιακή επεξεργασία και κατηγοριοποίηση εικόνων μέσω νευρωνικών δικτύων: εφαρμογή σε βιοϊατρικές εικόνες

Digital processing and classification of biomedical images through artificial neural networks is the aim of this thesis. In the first part of the thesis are reviewed the basics of digital image processing and the basics of classification using simple or ‘shallow’ neural networks. Within the digital image processing section, 2D filters for image enhancement and region growing for image segmentation are studied in more detail and through clarifying examples. Deep learning and deep neural networks and presented and analyzed in the following section. In the experimental part of the thesis, four binary classification experiments are designed and carried out on sets of biomedical images using shallow and deep neural networks. Comparison of the results reveals that deep neural networks offer improved classification performance.
Bi-BLS: A Bidirectional Connection Broad Learning System Model for Traffic Flow Prediction

Real-time and accurate short-term traffic prediction enables efficient operation of road traffic via real-time vehicle status information. However, the traffic prediction model based on deep learning or machine learning is generally not efficient due to the long training time. Thus, we propose a Bidirectional Connection Broad Learning System (Bi-BLS) model to characterize the relationship between road flow and vehicle speed, so as to perform real-time and short-term traffic prediction. The Bi-BLS consists of two parts, namely the mapped feature nodes layer and the enhancement nodes layer. The mapped nodes layer employs cascade connection to extract hierarchical features from the data set by edge computing servers. The enhancement nodes layer uses bidirectional connection to extract hierarchical features from the mapped nodes layer. Moreover, it can efficiently add enhancement nodes or mapped feature nodes. To validate the effectiveness of our proposed model, the simulations are conducted based on the England Freeway Data set. Numerical results show that our proposed model has better prediction performance in short-term traffic prediction than other benchmark models.
Similarity of Competitive Merchant Behavior Using the Jaccard Coefficient

Advanced installment innovation has brought a business pattern that makes it simpler to see income conditions or what is known as a productive contrast. Different new ways are utilized to make progress, one of which is with an electronic-based business, yet with a particularly number of varieties, vulnerability in business is likewise progressively hard to foresee. Particularly foreseeing in the following not many years what exercises will regularly happen. Forecast itself is an interaction of efficiently assessing something that is well on the way to occur later on dependent on at various times data. To stay aware of the advancement of the organization, it is important to enhance the measurements for the business. Similarity involves the process of characterizing each object or describing in detail the features of the object. A way to measure similarity by characterizing each object so as to produce a similarity in behavior. used the jaccard method in finding similarities.
DETERMINING RECIPIENTS OF SOCIAL ASSISTANCE FOR STUDENTS AFFECTED BY COVID-19 USING THE K-NEAREST NEIGHBOR (KNN) METHOD

School is an institution or institution where learning and teaching and a place to receive and give lessons. Along with the development of communication and information technology, and the rapid spread of the Covid-19 outbreak in Indonesia, learning is carried out online / long distance. However, the government policy in implementing the Distance Learning (PJJ) system many parents objected to having to meet their needs during online learning. The provision of social assistance from the school for students affected by Covid-19 still uses a manual system, which is selecting student files one by one, then assessing which student files are eligible for social assistance. The problem that arises from this selection process is that there are too many student files and the school takes too long to make decisions if there are similarities in student data.&#x0D; These problems are the background of making a web-based BANSOS covid-19 application system that applies the K-Nearest Neighbor method which will make it easier for schools to classify new student data, whether or not they are affected by covid-19, so that schools can provide assistance or not quickly and accurately.&#x0D; Based on the results of system functional testing, this system can run well on 2 browsers, namely Google Chrome and Mozilla Firefox. testing the calculation of the K-Nearest Neighbor algorithm with a parameter value of K = 5 using confusion matrix, the accuracy value is 98%, the precision value is 100%, and the recall value is 96%.
About pedagogical terms “training” and “teaching”

The article deals with the pedagogical terms “training” and “teaching”. Authors analyze their use in various contexts, including Ruscorpora examples and believe that training and teaching in the minds of teachers and many methodologists are types of pedagogical influence: teaching is the formation of knowledge, and training is the formation of skills. Attempts of scientists to establish subordination relations between them are recognized as illegal. The idea that training is a joint activity of a teacher and students is criticized.
Bitcoin Transactions, Information Asymmetry and Trading Volume

The underlying transparency of the Bitcoin blockchain allows transactions in the network to be tracked in near real-time. When someone transfers a large number of Bitcoins, the market receives this information and traders can adjust their expectations based on the new information. This paper investigates trading volume and its relation to asymmetric information around transfers on the Bitcoin blockchain. We collect data on 2132 large transactions on the Bitcoin blockchain between September 2018 and November 2019, where 500 or more Bitcoins were transferred. Using event study methodology, we identify significant positive abnormal trading volume for the 15-minute window before a large Bitcoin transaction as well as during and after the event. Using public information about Bitcoin addresses of cryptocurrency exchanges as proxies for information asymmetry, we find that transactions with high levels of information asymmetry negatively affect abnormal trading volume once the event becomes public knowledge, while some effects are even opposite for transactions with lower information asymmetry. The results show that blockchain transaction activity is a relevant aspect of Bitcoin‘s microstructure, as informed traders make use of the information in general and adjust their expectations based on the degree of information asymmetry.
custom: Effect of Determinants of Entrepreneurial Innovation on Businesses Innovation Capacity in Sub-Saharan Africa

Global and local challenges and changes in the structure of knowledge production and usage, have led to very many different types of innovations. Thus, recognizing and classifying such innovations is more complex, fragmented, and geographically dispersed academic and social venture. This study provides a quantitative longitudinal study of the determinants of innovation, their role in entrepreneurship innovation capacity and how they collectively add value to economic growth in sub-Saharan Africa. The study used fixed effects with country dummies in the analysis where Stata software was used. The results generated are expected to use in enabling both other researchers and practitioners to navigate the complex web of innovation definitions and typologies and they collectively impact on economic growth in the poor world. The results indicated that the extent of staff training, brain drain, absence of excessive bureaucracy and red tape, intellectual property protection, venture capital availability and intensity of local competition among firms were positively and significantly correlated with entrepreneurial innovation capacity in SSA. On the other hand, government procurement of advanced technologies was negatively and significantly correlated with entrepreneurial innovation capacity in SSA. It is recommended that respective countries should put in mechanisms to capitalize from the positive benefits of brain drain, absence of excessive bureaucracy and red tape, venture capital availability, intensity of local competition among firms and tertiary education gross enrolment on the economy. This could be through increased investments in tertiary institutions and reduction of bureaucracy and corruption that will not only increase high quality production through increased labour productivity, but will also foster fair competition in the markets. The governments should also increase mechanisms that facilitate increased savings for investment and where possible adopt strategies that will encourage increased inflow of foreign direct investment.
PELAKSANAAN INOVASI LAYANAN POJOK BRAILLE (LAPO BRA) DALAM MENINGKATKAN PELAYANAN PUBLIK (Studi pada Dinas Perpustakaan Umum dan Arsip Daerah Kota Malang)

The Office of the Public Library and Regional Archives of Malang City in order to improve public services which launched a service called the Corner (Lapo Bra), which is intended for blind persons with disabilities where they can enjoy the same services as the general public. The purpose of this study was to learn how to implement  Corner Services  in improving public services and to find out the supporting and inhibiting factors for the implementation of  Corner Services  in improving public services in the Public Library and Archives of Malang City. This study used qualitative research methods. Data sources used primary and secondary data. Data collection is done through observation, interviews, and documentation. The technique of determining informants using purposive sampling. The technique of analyzing the data collected, presentation data, and conclusions collected. Braille Corner Service The Office of the Public Library and Regional Archives of Malang City has helped well to support the information needs of net users and to help enjoy the same services as the general public and improve community services, this is proven by using 6 (six) standard points according to public services mahmudi 2010. With the Corner that can improve the quality of life of blind disabilities through information technology, foster the creation of reading interests, and foster self-confidence for net disabilities.
LibGuides: EH250 -- Introduction to Literary Studies for Undergraduate Majors in English: Home

This LibGuide is a companion to EH250, a gateway course required of all undergraduate English majors.
Learning Using Animated Video Media to Improve Student Learning Outcomes

&lt;p&gt;&lt;em&gt;This research is based on the problems that occurred at SDN Margaluyu. Through observations that have been made at SDN Margaluyu that the learning process is less attractive without the use of media. The scores of students in social studies subjects are still much below the KKM with KKM IPS scores of 75. In connection with these problems, the researchers conducted research with the aim of improving learning outcomes in social studies using animated video media. The population of this study was grade IV students, amounting to 26 students. The sampling technique used was random sampling of 10 students. The method used is classroom action research. The data collection technique used multiple choice test sheets. Obtained from the results of the analysis in cycle I, the number of students who met the KKM was 6 students or 60%, while the results of the analysis in cycle II had an increase in all students completing the KKM or 100%. So it can be concluded that learning using animated video media can improve student learning outcomes in social studies subjects on economic activity material in class IV SDN Margaluyu.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
Decentralization in Open Quorum Systems: Limitative Results for Ripple and Stellar

Decentralisation is one of the promises introduced by blockchain technologies: fair and secure interaction amongst peers with no dominant positions, single points of failure or censorship. Decentralisation, however, appears difficult to be formally defined, possibly a continuum property of systems that can be more or less decentralised, or can tend to decentralisation in their lifetime. In this paper we focus on decentralisation in quorum-based approaches to open (permissionless) consensus as illustrated in influential protocols such as the Ripple and Stellar protocols. Drawing from game theory and computational complexity, we establish limiting results concerning the decentralisation vs. safety trade-off in Ripple and Stellar, and we propose a novel methodology to formalise and quantitatively analyse decentralisation in this type of blockchains.
FAKTOR-FAKTOR YANG MEMPENGARUHI KINERJA PELAYANAN PUBLIK PADA BIDANG PENDIDIKAN (Studi pada Kinerja Koordinator Wilayah Kecamatan Bidang Pendidikan dalam Pemenuhan Sarana dan Prasarana Sekolah Dasar Kecamatan Kutawaluya Kabupaten Karawang)

This research is motivated by the condition of elementary schools in Kutawaluya District, Karawang Regency, most of which have minimal facilities and infrastructure, seen from the damaged school room. This is very influential on teaching and learning activities (KBM), that the fulfillment of facilities and infrastructure is the responsibility of the Regional Coordinator for Education (Korwilcambidik) Kutawaluya as a government organization at the forefront of providing services to all primary school (SD) needs both in physical and administrative terms. The purpose of this study was to determine the performance of the Kutawaluya Regional Coordinator for Education (Korwilcambidik) in the provision of facilities and infrastructure in public elementary schools in Kutwaluya District, Karawang Regency. This study uses a descriptive method with a qualitative approach, by obtaining information from predetermined informants. This study uses the basis of analysis in measuring organizational performance from Soesilo (2014) which consists of aspects of organizational structure, management policies, human resources (HR), management information systems, and facilities and infrastructure. The results showed that the performance of the Korwilcambidik Kutawaluya organization in the service of facilities and infrastructure for public elementary schools in Kutawaluya District, Karawang Regency has not been optimally implemented. This can be seen from the lack of ability of the apparatus in carrying out work according to their main duties and functions, constraints on synchronization of accurate data regarding real needs related to facilities and infrastructure in 26 elementary schools (SD), not using the principle of the right man on the right pleace in organizations, In addition to the minimal mastery of information and communication technology due to the weak skills of the apparatus, this condition is exacerbated by the absence of operational vehicles, which results from the suboptimal performance of the Kutawaluya Korwilcambidik.
Adaptive Methods to Optimize Web Services Selection and Service Compositions Construction

Service Oriented Architecture (SOA) introduced the web services as distributed computing components that can be independently deployed and invoked by other services or software to execute composite services that represent an end-to-end business process. An important problem in the SOA is the web service selection and composition problem which involves selecting the right web services mix to construct the best service composition that achieves the consumers Service Level Agreement (SLA) requirements. In this chapter we propose different methods to solve the problem of the business processes execution engine web service selection and services composition construction in the Service Oriented Architecture (SOA).&nbsp; The chapter provides different mechanisms to improve the web services selection and composition using dynamic techniques. The main goal is to satisfy the services' requirements expressed as the SLA and to enhance the services selection and composition by increasing the availability and decreasing the response time of the service compositions.