Reviewerly/exHarmony huggingface dataset:
THE EFFECT DIRECTED READING THINKING ACTIVITY (DRTA) STRATEGYON STUDENTS’ READING COMPREHENSION

This research conducted in STKIP Kusuma Negara Jakarta. It uses experiment method who 40 students first semester. This research purposes: (1). To know result of the research which doesn’t use DRTA strategy. (2). To knowresult of the research which use DRTA strategy. (3). To know the effect Directed Reading Thinking Activity (DRTA) on Students’ Reading Comprehension. Method of the research is experiment. It consists of 40 students. There are 20 students group experiment class and 20 students groupcontrol class. Instrument reading comprehension is multiple choice, as much as twenty items. It uses random sampling technique. Test data analysis use homogeneity test and normality test, in order that it can proceed with the analysis of statistical parametric. Analysis results and hypothesis obtained (1). students’reading comprehension using DRTA strategies: mean = 85.80; median= 85.50 ; variance= 22.695; (2). students’ reading comprehension using conventional learning: mean =68.65   ; median= 68.00 ; variance=18.766. (3). There is significant effect directed reading thinking activity (DRTA) towards students’reading comprehension. It can be seen that t-score was 21.291 and sig.=0.000 < 0.05. It can be concluded that DRTA strategies give effects to increase students’ability in reading comprehension. Student encourage to give prediction and think the reading text. DRTA strategies suitable to apply in teaching reading comprehension in STKP Kusuma Negara Jakarta.
IMPACT OF COVID-19 LOCKDOWN IN TELECOMMUNICATIONS ENGINEERING COMPETENCY-BASED ALUMNI RANKING

Higher education, as other social and economic sectors in Spain, was disrupted on 15 th March 2020 following health emergency Laws enacted related to COVID-19.Non-presential lecturing was stablished country-wide until the end of the academic year 2019-20, as society was set in lockdown.In this context, it is necessary to evaluate the impact of the mandatory changes implemented in the education paradigm in order to assess the degree of acquisition of general and specific competencies altogether the acquisition of transversal competencies, as an important factor for the alumni career.This paper reports a comprehensive study on the competencies degree of acquisition considering the lockdown scenario in Spain.The results from the last four academic years have been comparatively evaluated in the core subject 'Teoría de la Comunicación', lectured in the fourth semester of the Telecommunications Engineering Integrated Program (Bachelor and Master) in the Universitat Politècnica de València, Spain, comprising data from 745 alumni.The results indicate that the degree of acquisition of technical competencies in this scenario has been adequate, being marginally better compared to previous academic year, probably due to new lecturing materials prepared.Nevertheless, the acquisition of the transversal competency `analysis and problem solving' exhibits degraded results, indicating inhomogeneous acquisition probably due to limitations in the group-based problem-solving practice.The results suggest that specific materials and remote lecturing strategies should be developed and implemented to guarantee adequate acquisition levels.
Quantum Interferometry for Different Energy Landscapes in a Tuneable Josephson Junction Circuit

This paper presents a simple Josephson-junction circuit with two parameters (inductance and capacitance) which can be tuned to represent different energy landscapes with different physical properties.By tuning this quantum circuit through external accessible elements we can move from two to three and more energy levels depending on the parameter setting.The inductance, the capacitance as well as the external voltage (driving terms) condition the number of relevant energy levels as well as the model to be used.We show
ENHANCEMENT OF SECURITY ISSUES IN CLOUD COMPUTING USING ELECTRONIC CODEBOOK MODE TECHNIQUE

With the significant head ways in the field of software engineering,Data Security in Cloud Computing has demonstrated to beI one of the significant difficulties. To get associated safely and rapidly through the electronic dataMove through the web, the data ought to be encoded. Encryption is the way toward Changing plain content in to ciphered content, Which can't be comprehended or adjusted effectively by assailant/programmer. A few significant Algorithms have been utilized for the encryption and decryption of data in all fields, however at present there Iist no such calculation which gives outright Security of data on distributed computing. Right now, will attempt to make an investigation for most significant algorithms as far as data security via ability, seize and so forth. The various sorts of existing cryptography algorithms are, as AES, DES TDES, DSA, RSA, TWOFISH, BLOWFISH,HONEY ENCRYPTION,ECC,IEEE and CR4 andIso forth. Yet, this paper willI primarily consent rate on Electronic Codebook Mode and will try to enhance its security. This method will be examined in detail along side calculation and mode
SOME ASPECTS OF TRAINING IN BACHELOR-MASTER SYSTEM IN THE INFORMATION SOCIETY

The article presents the results of theoretical analysis of the phenomena of informatisation of education, information society and two-level higher education. The specifics of training at the bachelor’s and master’s degrees are indicated, and the interdependence of the bachelor’s and master’s degrees is reflected. The authors conducted a comparative analysis of educational standards for bachelor’s and master’s degrees in pedagogic and psychological-pedagogic areas of training, both the current and previous versions. The results of the analysis indicate a tendency to increase the continuity of bachelor’s and master’s degrees, which is expressed in reducing the gap between the content of standards of the first and second stages of higher education. Also, the comparative analysis showed that in comparison with previous versions, the current standards of pedagogic and psychological-pedagogic directions are more similar to each other in terms of educational results. A crosscutting issue in the article is the use of Internet technologies in the context of two-level higher education and the development of informatisation of society. In the context of the increasing role of Internet technologies in educational activities, in the opinion of the authors, the systemic in nature of informatisation of higher education is significant, in particular, providing the system work of actors in education with the information-educational environment of a higher education institution.
A light transformer for speech-to-intent applications

Spoken language understanding (SLU) systems can make life more agreeable, safer (e.g. in a car) or can increase the independence of physically challenged users. However, due to the many sources of variation in speech, a well-trained system is hard to transfer to other conditions like a different language or to speech impaired users. A remedy is to design a user-taught SLU system that can learn fully from scratch from users' demonstrations, which in turn requires that the system's model quickly converges after only a few training samples. In this paper, we propose a light transformer structure by using a simplified relative position encoding with the goal to reduce the model size and improve efficiency. The light transformer works as an alternative speech encoder for an existing user-taught multitask SLU system. Experimental results on three datasets with challenging speech conditions prove our approach outperforms the existed system and other state-of-art models with half of the original model size and training time.
GENERALIZATION OF THE EXPERIENCE OF USING DISTANCE LEARNING TECHNOLOGIES IN THE CONDITIONS OF REMOTE LEARNING

The article discusses the problems of organizing remote learning that have arisen due to the COVID-19 pandemic, provides the advantages and disadvantages of using various software tools and Learning Management Systems.
Priority areas to ensure sustainable development of educational exports of Russian universities in the context of digital transformation (regional aspect)

The article considers digital technologies used to attract foreign students to regional universities. Forced distance learning during the pandemic COVID-19 revealed the weaknesses in the educational process when the need for intensive use of the existing digital technologies increased. This served as the basis for the active transformations of the priority areas in developing the digital environment in universities and the active use of online technologies to preserve the sustainable development of educational exports. With distant learning, the global competition for foreign students between universities only intensified making it necessary to create a high-quality digital environment. Russian universities used to compete with universities in other countries. But nowadays students can choose a university without leaving their homes. The main factors for their choice are the quality of education and reliability of the virtual infrastructure [1]. For the sustainable development of educational services exports, regional universities need to engage all the available digital tools to attract foreign applicants. They must position themselves as modern, internationally recognized educational institutions providing high quality education.
헤드라인 장르 관습과 번역 규범: 헤드라인 직접인용 한일번역 분석을 중심으로

The so-called double-quotes journalism, which quotes headlines directly, represents the conventions of headline genres in Korea. Headline genre conventions can be different for different cultures, and conflicts between cultural conventions act as translation problems for translators. To overcome these constraints, there is a norm in translation. In this study, we focus on the conventions of headline genre in Korea, which uses a lot of direct quotes. Based on this, we try to solve the following research questions. First, is there a difference between the Japanese headline genre conventions and the Korean headline genre conventions, which use a lot of quotes? If there is a difference in the conventions of the headline genre between Korea and Japan, what kind of decision making will the translator make to resolve the conflict between the two countries in the Korean-Japanese translation? And what is the dominant translation norm acting on the decision of the translator?
Tomás Saraceno — How to Entangle the Universe in a Spider Web.

The article reviews the Tomas Saraceno exhibitions Aria featuring spiders at Palazzo Strozzi in Florence, Italy until November 1, 2020 and Event Horizon at Cisternerne in Copenhagen, Denmark until November 30, 2020.
Psychology of individual human capital under conditions of professional mobility in digital environment

This article focuses on a psychological approach to the assessment of individual human capital, aiming to reveal the psychological characteristics of individual human capital under conditions of external and internal professional mobility in the modern digital environment.The main study material consisted of essays by small business entrepreneurs and an analysis of corporate entrepreneurial online texts that contain indicators of professional success, as well as creative and axiological goals of professional activities.Based on the analysis of 79 essays by entrepreneurs (23,211 words in total), linguists have identified the following main parameters: thematic word groups; frequency of thematic words use; evaluation of components and the context of thematic words and word groups in essays.Experts have classified the words into four main thematic groups: Education; Occupation; Career and Service; and Employment and Area of Specialisation.According to the second parameter, words related to development and education turned out to be of high frequency.The third parameter reflected the evaluation component and the context of the thematic words use in economic categories and communicative discourse.This analysis made it possible not only to assess, but also to predict the emergence of a socio-psychological phenomenon of professional success (in relation to entrepreneurial activity).The psycholinguistic approach made it possible to describe various forms of investment in the development of individual human capital.
Conditional mean variables: A method for estimating latent linear relationships with discretized observations

Conditional mean variables: A method for estimating latent linear relationships with discretized observations
Video Watermarking for Persistent and Robust Tracking of Entertainment Content (PARTEC)

Bhowmik, Deepayan Abhayaratne, Charith Green, StuartThe exploitation of film and video content on physical media, broadcast and Internet involves working with many large media files. The move to file-based workflows necessitates the copying and transfer of digital assets amongst many parties, but the detachment of assets and their metadata leads to issues of reliability, quality and security. This paper proposes a novel watermarking-based approach to deliver a unique solution to enable digital media assets to be maintained with their metadata persistently and robustly. Watermarking-based solution for entertainment content manifests new challenges, including maintaining high quality of the media content, robustness to compression and file format changes and synchronisation against scene editing. The proposed work addresses these challenges and demonstrates interoperability with an existing industrial software framework for media asset management (MAM) systems.
Socio-historical roots of applied philolophy

This article provides a philosophical basis for the genetics of applied philosophy, its stages of development, its conceptual ideas, and its historical and philosophical roots, trends, views of philosophers in this field, and the importance of applied philosophy today.
PROFESSIONAL TRAINING AND CONTINUING QUALIFICATION OF THE TEACHER

The study presents the problems of vocational training and the continuing qualification of Bulgarian teachers. Higher education institutions preparing pedagogical staff need effective interaction and evaluation of their activities by the users of the educational services, such as kindergarten and school directors.The article presents the results of an empirical study conducted with 50 kindergarten and school principals from 8 regions in the Republic of Bulgaria. The object of the study is the managerial reflection on the quality of the training of the newly appointed teachers. The subject of the study is the possibilities for improving their professional qualification. The results indicate that principals are partially satisfied with the quality of the theoretical and practical training of the teachers they hire. To the greatest extent they stimulate the enhancement of the professional competence of the teaching staff by financing their participation in continuing education courses.
Effective and Sparse Count-Sketch via k-means clustering

Count-sketch is a popular matrix sketching algorithm that can produce a sketch of an input data matrix X in O(nnz(X))time where nnz(X) denotes the number of non-zero entries in X. The sketched matrix will be much smaller than X while preserving most of its properties. Therefore, count-sketch is widely used for addressing high-dimensionality challenge in machine learning. However, there are two main limitations of count-sketch: (1) The sketching matrix used count-sketch is generated randomly which does not consider any intrinsic data properties of X. This data-oblivious matrix sketching method could produce a bad sketched matrix which will result in low accuracy for subsequent machine learning tasks (e.g.classification); (2) For highly sparse input data, count-sketch could produce a dense sketched data matrix. This dense sketch matrix could make the subsequent machine learning tasks more computationally expensive than on the original sparse data X. To address these two limitations, we first show an interesting connection between count-sketch and k-means clustering by analyzing the reconstruction error of the count-sketch method. Based on our analysis, we propose to reduce the reconstruction error of count-sketch by using k-means clustering algorithm to obtain the low-dimensional sketched matrix. In addition, we propose to solve k-mean clustering using gradient descent with -L1 ball projection to produce a sparse sketched matrix. Our experimental results based on six real-life classification datasets have demonstrated that our proposed method achieves higher accuracy than the original count-sketch and other popular matrix sketching algorithms. Our results also demonstrate that our method produces a sparser sketched data matrix than other methods and therefore the prediction cost of our method will be smaller than other matrix sketching methods.
Context WEB-services matching as a means of search query. Ontological approaches

Matching is integral part of all web services tasks. The effective implementation of the process of matching services with a search query, or with each other, ensures successful resolving of the problems of service discovery, building the best coverage of the search query and a complex composite service that implements the business task. All web services have own characteristics, solve different problems, use different methods, but they all also have a certain set of characteristics: functional and process models, formal description language, communication protocol, a common set of element types, such as identifiers, service messages, parameters and etc. This allows to classify services in a certain way, the analysis of these characteristics permits to define the elements and aspects of the comparison process. Today there is a huge number of services, and their number is constantly growing, and the process of services discovery is very complex and multifaceted. It should take into account the structural, syntactic, but, first of all, the semantic suitability of services, to ensure their comparative analysis according to the maximum possible number of characteristics that are significant for matching. It should be step-by-step process and it has be designed in such a way that each step reduces the set of candidates, leaving services with a greater degree of compliance. This requires algorithms that return quantitative estimates for each step, each type of matching, and algorithms that effectively generalize these estimates to define the final values of the proximity of services and the request. These researches are devoted to problems of using the descriptive logics formalisms for web services matching by their contexts, which, as a rule, contain information about the services purposes, the area of use, business functions, etc. That is, it is information representing the semantics of the service, but in text form, that is not convenient for automated processing. There are many studies that try to solve this problem by applying standard text analysis methods to contextual service descriptions. This study proposes an ontological approach to matching web services by context. It is determined the extension of the previously proposed the top-level service DL ontology. It also involves the use of a special ontology of the general textual service description, a fragment of the taxonomy of which is presented in the paper. This ontology should cover all important semantic aspects of contextual descriptions. It have not only promote to determining the matching a service and a request, but it also have to allow semantically categorizing the available services: by subject area, implemented functions, etc.
Online Multi-Object Tracking with delta-GLMB Filter based on Occlusion and Identity Switch Handling

In this paper, we propose an online multi-object tracking (MOT) method in a delta Generalized Labeled Multi-Bernoulli (delta-GLMB) filter framework to address occlusion and miss-detection issues, reduce false alarms, and recover identity switch (ID switch). To handle occlusion and miss-detection issues, we propose a measurement-to-disappeared track association method based on one-step delta-GLMB filter, so it is possible to manage these difficulties by jointly processing occluded or miss-detected objects. This part of proposed method is based on a proposed similarity metric which is responsible for defining the weight of hypothesized reappeared tracks. We also extend the delta-GLMB filter to efficiently recover switched IDs using the cardinality density, size and color features of the hypothesized tracks. We also propose a novel birth model to achieve more effective clutter removal performance. In both occlusion/miss-detection handler and newly-birthed object detector sections of the proposed method, unassigned measurements play a significant role, since they are used as the candidates for reappeared or birth objects. In addition, we perform an ablation study which confirms the effectiveness of our contributions in comparison with the baseline method. We evaluate the proposed method on well-known and publicly available MOT15 and MOT17 test datasets which are focused on pedestrian tracking. Experimental results show that the proposed tracker performs better or at least at the same level of the state-of-the-art online and offline MOT methods. It effectively handles the occlusion and ID switch issues and reduces false alarms as well.
Entanglement Structure Detection via Machine Learning

Detecting the entanglement structure, such as intactness and depth, of an n-qubit state is important for understanding the imperfectness of the state preparation in experiments. However, identifying such structure usually requires an exponential number of local measurements. In this letter, we propose an efficient machine learning based approach for predicting the entanglement intactness and depth simultaneously. The generalization ability of this classifier has been convincingly proved, as it can precisely distinguish the whole range of pure generalized GHZ states which never exist in the training process. In particular, the learned classifier can discover the entanglement intactness and depth bounds for the noised GHZ state, for which the exact bounds are only partially known.
Research on the Construction of Liberal Arts Laboratory in Universities under the Background of New Liberal Arts Education

With the advent of the information and intelligence age, new technologies such as artificial intelligence and big data have exerted a profound impact on university education. In this context, Ministry of Education of China puts forward the strategy of strengthening the new liberal arts education. New liberal arts is characterized by diversified content, scientific nature and value. Liberal arts laboratories play an important role in promoting the construction of new liberal arts, and their development also faces the challenges of insufficient attention, low openness and lack of talents. This paper puts forward some suggestions on improving the construction of liberal arts laboratory from the aspects of top-level design, new technology application, intelligentization and teaching staff.
Analysis of correctness in adverb use in the Japanese composition support system Nutmeg

This book presents empirical methodologies and insights into the field of spoken and written discourse, in syntax, lexis, in corpus-based research and its applications to Japanese language education, and an exploration of the differences across time and register in diachronic Japanese language corpora. As such, it is divided into four parts, which are presented below with a brief overview of each chapter.