Reviewerly/exHarmony huggingface dataset:
Experimental pedagogical activity when teaching computer science to younger students

Problem and goal. One of the important components of the educational and methodical work of a teacher who teaches computer science to younger students is the quality control of the acquired system of knowledge of schoolchildren, which involves experimental pedagogical activity. Such experimental pedagogical activities include pedagogical experiments, the results of which are processed and analyzed using mathematical methods. Pedagogical measurements allow to justify the effectiveness of the implemented teaching methodology. Methodology. Pedagogical measurements are carried out in pedagogical research aimed at improving the content, methods, forms and means of teaching computer science to younger students using didactic games. The pedagogical experiment itself includes ascertaining, searching, forming and controlling stages. The analysis of the results of pedagogical measurements aimed at identifying the quality of the obtained knowledge in computer science of younger students can be effectively carried out using mathematical and statistical methods. Results. The conducted pedagogical measurements allow to draw a conclusion about how much younger students have subject knowledge in computer science, which is taught using didactic games; to identify the level of their worldview, logical thinking. Conclusion. Experimental pedagogical activity of the teacher in the process of teaching computer science to younger students allows to identify the effectiveness of such training, the level of subject knowledge of students. Analysis of the results of pedagogical measurements allows, if necessary, to correct the methodology and content of training in computer science.
Implementasi Algoritma Zhu Takaoka Pada Aplikasi Olshop Kamera Digital

A brand can reflect a product, but also has another dimension that is able to distinguish it from other products and is designed to meet the same needs. Digital cameras are devices for making images of objects for refraction through lenses on CCD sensors and more recently on BSI-CMOS (Back Side Illuminated) sensors that are more power efficient for more sophisticated cameras whose results are then recorded in digital format to in digital save media. The development of an era when someone more often captures his life's journey by expressing every activity into a photo using a digital camera because with that process can be done easily and good results for a photo that can capture the journey of one's life. With the increasing time of digital camera users more and more and digital camera brands are also increasingly sold in markets such as malls or shops, but to go to malls or shops will require transportation costs and not everyone has a free time to see new digital camera brands to the mall or shop because of its many work activities and other things. To overcome these problems the author builds an application that is the Implementation of the Zhu-Takaoka Algorithm in the Digital Camera Olshop Application. The zhu-takaoka algorithm is a string matching algorithm that can search words by shifting characters using 2 (two) dimensional arrays. The core process of searching for the zhu-takaoka algorithm is to search for words using the Right-to-left scan rule technique. Each shift in the word search process is determined by the shift values in the Good Suffix Shift Rule and Bad-Charcter Shift Rule tables. The expected results of this research are that it can help someone who wants to have a digital camera see or search for a digital camera brand using an Android application so that it can be done anywhere without having to go to the mall or shop.
The role of reading in developing geographical representations in schoolchildren

This article discusses the role of reading in the development of geographical representations in schoolchildren based on the practical experience of geography, literature, and elementary school teachers. The main focus of the research is on how to introduce fragments of literary fiction in the lessons of geography and ecology. The authors studied the school program on literary reading and literature of primary and secondary school, analysed the elements of geographical content in books by Russian and foreign authors, and reflected how these works may be used to form geographical representations in schoolchildren. As a research task, the authors attempted to use excerpts from fiction as techniques and methods of developing geographical representations in their students during curricular and extra-curricular activities, and to determine what requirements such works should meet for this purpose. The outcomes presented in the article substantiate the idea that teaching geography as a subject that forms a holistic view of the world is impossible without the use of fiction. Through the descriptions of geographical objects, phenomena, and processes contained in works of literary fiction, the authors claim to have been able to promote in their students the development of the geographical image of a place, an understanding of geographical processes and phenomena, the correlation between the geographical space described in the book with real objects, an understanding of the geographical past through historical geography, and a better knowledge of historical geography as a result. The authors emphasise that the use of fiction as part of the lessons of geography or ecology may promote the implementation of interdisciplinary projects. The outcomes of the research also substantiate the idea that systematic use of fiction in teaching geography and ecology results in the students becoming interested in reading adventure fiction, which in turn increases their cognitive activity and expands their outlook. The authors conclude that reading fiction makes a prominent contribution to studying geography. It may expand the students’ horizons, form vivid images of geographical phenomena and objects, and encourage the students to learn more about the world, to travel, and to encounter a variety of professions.
Intelligent Education Cloud is the Solution Paradigm to the K12 Education Imbalance Problem in 3/4 Tier Cities

K12 education is now a big problem facing by the government, especially for that of third and fourth tier cities. The reasons for this problem come from many aspects, and cannot be solved easily by traditional methods. In the paper, we propose the intelligent education cloud platform (IEC), which can be deployed in the city and help the K12 education through all schools in the whole city. The IEC can be copied and deployed in many places and give great performance simultaneously, and is the solution paradigm to the K12 education imbalance problem in 3/4 tier cities.
CHOReVOLUTION: Hands-On In-Service Training for Choreography-Based Systems

CHOReVOLUTION is a platform for the tool-assisted development and execution of scalable applications that leverage the distributed collaboration of services specified through service choreographies. It offers an Integrated Development and Runtime Environment (IDRE) comprising a wizard-aided development environment, a system monitoring console, and a back-end for managing the deployment and execution of the system on the cloud. In this tutorial paper, we describe the platform and demonstrate its step-by-step application to an industrial use case in the domain of Smart Mobility & Tourism. (Demo Video: youtu.be/ae2jI9SYsvg ) (GitHub: https://github.com/chorevolution/CHOReVOLUTION- IDRE )
Ant Algorithm Optimization for Clustering News Online

Humans are basically curious creatures. We always look for all the latest information through books or news. News usually contain tags or categories to make it easier to find similar news. It can be done manually by human or with machine to make it easier. Data mining technique such as clustering and classification can be used to help the categorization process. Clustering is a technique that can be used to grouped news based on their similarity. There is some algorithm that can be used to clustering data. One of it is Ant Colony optimization (ACO). ACO is a metaheuristic algorithm that mimics how ants brings food to the colony. ACO also can be used to solve clustering problem. In this paper, we will use the ACO version for clustering to cluster news and find the performance of said method. Then we compare the result with ground truth.
Texture Classification for Fake Indian Currency Detection

In this paper, the automatic fake currency recognition system (AFCRS) is developed to identify the currency whether it is fraud or genuine.The present problems due to demonetization drags down the banking system and also in many areas.A newvision of curl neural network regarding of finding fake notes through their images is tested in this paper, which is relatively good than past image processing methods.This procedure depends upon intense study, which has seen enormous success in image segmentation charge in present times.This technique can help both human and electronics in finding a fake currency note in real time through an image of the same.The suggested method AFCRS can also be situated as an implementation in the android phone which can be more useful for common people for finding the real or fake note.The precise of the suggested system can be increased by the original fake notes, where as the suggested system has the images from children's bank churan label.
IMPROVING STUDENTS 'ACTIVITIES AND LEARNING RESULTS USING THE USED BOTTLES

This study aims to increase the students’ activity and the learning result in English in learning in the procedure text only reached 61.81. Used bottle is a tool that can be used as an appropriate English learning media to increase the students’ activity and learning result in learning the procedure text. This research method is quantitative that there is the influence of used bottle learning media on student learning Result in procedure text learning. This cycle is carried out in the form of an assessment process that consists of four stages, namely: (1) planning, (2) taking action, (3) observing, and (4) reflecting. This classroom action research was carried out in three cycles. The results of the study presented include the results of tests and non-tests. Student learning result increase the pre-cycle to the first cycle, the first cycle to the second cycle, and the second cycle to the third cycle. The average value before the cycle is 61.81 (low). The average value in the first cycle is 64.31 (medium) or an increase of 2.50, the average value in cycle II is 73.33 (medium) or has an increase of 9.02, and the average value in cycle III is 83.33 (high) or an increase of 10.00.Keywords: activity, used bottles, procedure text, learning result, learning media
TRANSLATION PROCEDURES IN PATIENT INFORMATION LEAFLETS

The aims of this study were to find out the types of translation procedures in Patient Information Leaflets, to describe the realization of translation procedures and to explain about the reason of certain translation procedures realized in Patient Information Leaflets.The research was conducted by using qualitative descriptive design. The data of this study was translation unit that consists of words, phrases, clauses and sentences in Patient Information Leaflets in two versions, English as the source text and Bahasa Indonesia as the target text. The data was analyzed by using the theory of Translation Procedures based on (Vinay and Darbelnet ; 2000) to find the types, realization and the reason of certain translation procedures were used in Patient Information Leaflets. The results of the study were (1) there were eight types of translation procedures in patient information leflets namely borrowing, calque, literal translation, transposition, modulation, equivalent, deletion and mixing procedures. (2)There were some realization of translation procedures in patient information leaflets , namely pure loanwords, naturalization, word for word translation, optional transposition, obligatory transposition, free modulation, obligatory modulation, equivalency, reduction, and combining procedures, and (3) there were seven reasons behind the realization of translation procedures namely the concept of the source text is unknown, preserving the verbatim meaning of the source text, unequivalent grammatical structures between source language and target language, naturalism in translation, clarity in translation, familiarity and maintaining the original terms of the source text.Key Words: Translation, Translation Procedures, Patient Information Leaflets, English and Bahasa Indonesia.
BRPO: Batch Residual Policy Optimization

In batch reinforcement learning (RL), one often constrains a learned policy to be close to the behavior (data-generating) policy, e.g., by constraining the learned action distribution to differ from the behavior policy by some maximum degree that is the same at each state. This can cause batch RL to be overly conservative, unable to exploit large policy changes at frequently-visited, high-confidence states without risking poor performance at sparsely-visited states. To remedy this, we propose residual policies, where the allowable deviation of the learned policy is state-action-dependent. We derive a new for RL method, BRPO, which learns both the policy and allowable deviation that jointly maximize a lower bound on policy performance. We show that BRPO achieves the state-of-the-art performance in a number of tasks.
The macro and micro factors in effectiveness of innovation implementation in Saudi Arabia

This study is the first that seeks to investigate empirically a comprehensive, robust framework to uncover the macro and micro factors of innovation implementation effectiveness in Saudi Arabia by validating two current best-practice models. Data gathered from 140 organisations confirmed that the original model was valid across various innovation types and levels of innovation. Moreover, the study enhanced the original model by extending its micro spectrum through exploring the impact of personal innovativeness, social influence and image on implementation effectiveness. While recent research highlighted the importance of such micro-factors that are often neglected in holistic evaluations of implementation effectiveness, our results found a positive, albeit modest, relationship. In addition, our study was able to also demonstrate the lack of strong moderation effect in the hypothesised correlation between innovation types and financial resources. Implications of our findings and enhancement to the original model are discussed.
INTERNET SERVICES IN THE PROJECT ACTIVITIES OF STUDENTS

The article considers the issues connected with the use of internet technology services in the project activities of students of higher educational institutions.It characterizes the principles of implementing project activities, types of project-based learning, reveals its particular features.The authors distinguish such kinds of projects as foresight, social, technological, innovative, and investment ones.They define the groups of Internet services in accordance with their didactic functions and assignment in the educational process (services of administration and managing the learning processes, services of developing the content of the learning activity, services of provision and support of learning activity, communication and feedback services, information services).The article describes the possibilities of Internet technology services for project implementation at all stages of its lifecycle.
Adaptively Secure Non-interactive CCA-Secure Threshold Cryptosystems: Generic Framework and Constructions

In threshold cryptography, private keys are divided into n shares, each one of which is given to a different server in order to avoid single points of failure. In the case of threshold public-key encryption, at least $$t \le n$$ servers need to contribute to the decryption process. A threshold primitive is said robust if no coalition of t malicious servers can prevent remaining honest servers from successfully completing private key operations. Non-interactive schemes, considered the most practical ones, allow servers to contribute to decryption without interactions. So far, most non-interactive threshold cryptosystems were only proved secure against static corruptions. In the adaptive corruption scenario (where the adversary can corrupt servers at any time, based on its complete view), all existing robust threshold encryption schemes that also resist chosen-ciphertext attacks till recently require interaction in the decryption phase. A very specific method (in composite order groups) for getting rid of interaction was recently suggested, leaving the question of more generic frameworks and constructions with better security and, in particular, better flexibility (i.e., compatibility with distributed key generation). This paper advances the state of the art and describes a general construction of adaptively secure robust non-interactive threshold cryptosystems with chosen-ciphertext security. We define the novel notion of all-but-one perfectly sound threshold hash proof systems that can be seen as (threshold) hash proof systems with publicly verifiable and simulation-sound proofs. We show that this notion generically implies threshold cryptosystems combining the aforementioned properties. Then, we provide efficient instantiations under well-studied assumptions in bilinear groups (e.g., in such groups of prime order). These instantiations have a tighter security proof in the single-challenge setting and are indeed compatible with distributed key generation protocols.
The category of pseudoscientific as a problem: to the thesis of the renaissance of philosophical knowledge

It is shown that at present the category of pseudoscientific requires consistent philosophical reflection.&nbsp;This is determined, first of all, by the need to rethink the disciplinary structure of science, which&nbsp;has ceased to satisfy the current needs of the development of civilization. On the agenda is the thesis&nbsp;on the New Enlightenment, promoted by the Club of Rome, as well as the thesis on the renaissanceof philosophical knowledge aimed at the systematic elimination of interdisciplinary barriers. In such&nbsp;conditions, the criteria of scientific and pseudoscience developed within the framework of individual&nbsp;particular sciences cease to meet the needs of the further development of civilization; a higher level of&nbsp;understanding of the problem is needed – philosophical. It is shown that at the present stage, scientificwork, which carries a significant baggage of ideas, is gaining importance, while ordinary publications&nbsp;made in the context of the ritualization of scientific research should fade into the background and be&nbsp;treated as pseudoscientific. The proposed interpretation of the opposition “scientific – pseudoscientific”&nbsp;is considered by comparing the ideas contained in the monograph by O.O. Suleimenova “Az and I”,with some modern studies that do not contain any new ideas and do not represent real value, but fully&nbsp;responding the existing scientific and bureaucratic canons.&nbsp; Key words: pseudoscience, renaissance of philosophical knowledge, New Enlightenment, Club of&nbsp;Rome, disciplinary structure of science, interdisciplinary barriers.
Interpretable Models for Understanding Immersive Simulations

This paper describes methods for comparative evaluation of the interpretability of models of high dimensional time series data inferred by unsupervised machine learning algorithms. The time series data used in this investigation were logs from an immersive simulation like those commonly used in education and healthcare training. The structures learnt by the models provide representations of participants' activities in the simulation which are intended to be meaningful to people's interpretation. To choose the model that induces the best representation, we designed two interpretability tests, each of which evaluates the extent to which a model’s output aligns with people’s expectations or intuitions of what has occurred in the simulation. We compared the performance of the models on these interpretability tests to their performance on statistical information criteria. We show that the models that optimize interpretability quality differ from those that optimize (statistical) information theoretic criteria. Furthermore, we found that a model using a fully Bayesian approach performed well on both the statistical and human-interpretability measures. The Bayesian approach is a good candidate for fully automated model selection, i.e., when direct empirical investigations of interpretability are costly or infeasible.
Galleria E-Portal

Project Galleria is an e-commerce type website in which user can sell and buy their handicrafts, paintings and antique and unique crafts. User can make account and follow other user. They can upload images of paintings and their handicrafts. Moreover, the people who know the arts very much they can make tutorials for that and another user can subscribe for that. We have used AI Recommendation feature also in the project which can be used for search optimization. E-commerce is a boom in the modern business. E-commerce means electronic commerce. Ecommerce (Electronic commerce) involves buying and selling of goods and services, or the transmitting of funds or data, over an electronic network, predominantly the Internet. E-commerce (Electronic commerce) is a paradigm shift influencing both marketers and the customers. Rather e-commerce is more than just another way to boost the existing business practices. It is leading a complete change in traditional way of doing business. E-commerce involves an online transaction. E-commerce provides multiple benefits to the consumers in form of availability of goods at lower cost, wider choice and saves time. The general category of ecommerce can be broken down into two parts: E-Merchandise & E-finance. Many companies, organizations, and communities in India are doing business using E-commerce and also are adopting M-commerce for doing business. Ecommerce is showing tremendous business growth in India. Increasing internet users have added to its growth. Despite being the second largest user base in world, only behind China (650 million, 48% of population), the penetration of e-commerce is low compared to markets like the United States (266 M, 84%), or France (54 M, 81%), but is growing at an unprecedented rate, adding around 6 million new entrants every month.