Reviewerly/exHarmony huggingface dataset:
Constructing Pairing Free Unbounded Inner Product Functional Encryption Schemes with Unbounded Inner Product Policy

Inner product functional encryption (IPFE) is a promising advanced cryptographic primitive for the inner product function class that facilitates fine-grained access control of sensitive data in an untrusted cloud environment and has an expanding range of applications in the context of cloud security, health-record access control, network privacy, data security on mobile devices, Internet of Things (IoT) and many more. We address the open problem of constructing public key unbounded IPFE (UIPFE) schemes that do not use bilinear pairings. Our main results are as follows: More interestingly, when contrasted with the existing similar schemes, all our schemes exhibit favourable results in terms of communication overhead and secret key size.
SEVERAL ISSUES CONCERNING THE TRANSLATION OF SCIENTIFIC TERMINOLOGYi IN RUSSIAN AND SERBIAN

Due to the technical and scientific progress, the translation of technical and scientific texts has developed considerably and has gained an outstanding importance nowadays. Although translation of a technical text may seem easier at the first sight, on account of its lack of expressiveness, the task of the translator is hardened in this case by the interference between the lexemes common and technical usage. Therefore, in order to realize a correct translation, it is necessary for the translator to have consistent knowledge in the domain of the translated text and of the real phenomena described and of their designations.
Bridging Data Pasien Rawat Inap Dengan INA-CBG’s (Indonesian Case Base Groups’s)

Abstract— Integration and acceleration of data transactions is a very important issue to be discussed in the era of integrated information technology development. This problem is the reason for making the system interact with each other quickly. Indonesian Case Base Groups (INA-CBG's) is an application used to process claims for National Health Insurance (JKN) participants from the Hospital. Every hospital is required to send patient data through INACBG's. However, current data claims for inpatients are still done manually. This manual process will make officers enter patient data into the main system and INACBG's. This results in the efficiency of work performed by hospital staff. In addition, the data entered is not automatic because there is a delay when entering data into the main system and INACBG's. Development of an Inpatient Information System that is integrated with INA-CBG's using JavaScript Object Notation (JSON). This format can send inpatient claim data to the INACBG's application in the form of an array. The JSON format does not have a standard format for writing, so it can be faster and more flexible in sending data. With an integrated system between the main system and INACBG's, it can increase the efficiency of processing data claims to INACBG's.&#x0D;
Pengaruh Globalisasi Terhadap Penggunaan Bahasa Indonesia

The rapidly growing influences of globalization unknowingly already mushed in the commynity. This is evidenced by the use of language Indonesian that is shifted with the use of traditional foreign languages. Technology development through modern communication tools become one of the important things in communicating in the globalization. The use of communication tools is usually utilized in daily life, both parents and children. This research uses qualitative descriptive research. The subject of this research is a community aged 7-12 years. The used is a poll given to respondents. Test of normality and homogenity test is used as test hypotheses.The research shows that there is an influence of globalization on the use of language Indonesian. It is seen from the tcount&gt; ttable is 6,675 &gt; 2,10092.
ShoeMaster: A Benchmark for Sketch2Image Translation of Shoes

The sketch2image translation of shoes innovatively generates natural shoe images that match the content and style of the input sketches, which is of important application value in the field of apparel e-commerce and auxiliary design. Training the translation model requires sketches and real images of shoes, however, the existing shoes datasets face the problems of small scale and unclear classification, which hinders the training of translation models. In this paper, we propose a benchmark for sketch2image translation of shoes called ShoeMaster, in the hope to facilitate the research of sketch2image translation of shoes, and provide a technical benchmark for fairly evaluate the progress of corresponding research works. ShoeMaster provides a large-scale daily shoe dataset covering all the categories of our proposed shoes classification knowledge hierarchy, which contains more than 50,000 real shoe images and corresponding sketches of different drawing styles. In order to comprehensively evaluate the quality of generated images, we propose the evaluation metrics from both qualitative and quantitative aspects. Based on ShoeMaster, we conduct comparison experiments on three state-of-the-art sketch2image models, the experiment results and analysis demonstrate the effectiveness of ShoeMaster. The ShowMaster benchmark including dataset, the metric questionnaire and calculating source code will be released at https://github.com/202oranger/ShoeMaster .
A frequency analysis of i like to and i like-ing

The ultimate goal of this paper is to provide an in-depth analysis of the frequency of I like to and I like -ing in the COCA, BNC, and COHA.The COCA clearly indicates that the type I like to was preferred over the type I like -ing by Americans.More specifically, Table 1 clearly shows that in the TV/movie genre, I like to and I like -ing were the most preferred by Americans.On the other hand, the BNC clearly indicates that I like to may have been preferred over I like -ing by British people.It is interesting to note that the type I like to was the most frequently used one in the fiction genre.This may imply that British writers are fond of writing a good thing to do in the fiction since what characters like to do makes stories interesting and thus encourages readers to finish reading the novel.Additionally, Table 2 clearly shows that the type I like -ing was the most frequently used one in the spoken genre.This may imply that I like -ing was the most preferable one for British people.When it comes to the COCA, it is noteworthy that the collocation I like to think is the most preferred by Americans, followed by I like to call, I like to see, I like to keep, I like to say, I like to use, I like to go, I like to get, and I like to make, in that order.On the other hand, the collocation I like being is the most commonly used one in America, followed by I like having, I like doing, I like working, I like seeing, I like watching, I like going, I like playing, I like talking, and I like getting, in that order.In addition, the collocation I like to think is the most commonly used one in the UK, followed by I like to see, I like to get, I like to go, I like to keep, I like to know, I like to hear, I like to make, I like to look, and I like to use, in that order.On the other hand, the collocation I like being is the most preferred by British people, followed by I like doing, I like watching, I like having, I like going , I like playing, I like looking, I like driving, and I like using, in that order.Finally, the COHA clearly shows that the type I like to was favored over type I like -ing.A major point to note with regard to the type I like to is that there was no frequency (0 token) in 1810.This in turn implies that I like to may have been the most undesired type.A further point to note is that the type I like to had the highest frequency (279 tokens) in 2000, which in turn suggests that it was the most preferred by Americans.It is noteworthy that there was no frequency (0 token) in the case of I like -ing in 1810, 1820, and 1830.This in turn indicates that it was the most undesired type.On the other hand, the frequency of I like -ing reached a peak (119 tokens) in 2000, which in turn suggests that it was the most preferable type for Americans.
Literature Review On English Education In Primary And Secondary Schools In China

This paper identifies different research works published in CNKI during the past decade on English education in primary and secondary schools in China. Here an attempt has been made to summarize the reviews on the above topic. The findings of the study indicates that the study of English education in primary and secondary schools in China is very scanty and lots of scope is there for the further research. The study highlights the problems encountered by English language schools in overseas Chinese townships and also depicts the difficulties faced by them in linking the theoretical background and practice among school children. This paper offers relevant suggestions to overcome the limitations in this field of research. In fine, a comparison was made between English education of primary and secondary schools.
THE INFLUENCE OF DIRECT LANGUAGE LEARNING STRATEGY TOWARDS STUDENTS' MOTIVATION IN LEARNING ENGLISH

This study focuses on the investigation of the influence of direct language learning strategy towards students' motivation in learning English. In other words, this study was conducted to investigate whether students who used direct language learning strategy well are them who having good motivation in learning English as foreign language. IL is conducted with purpose to promote meaning based and systematic learning English more effectively to the students of English department, suggesting the English lecturers or teachers that knowing earlier their students language learning strategies and motivation will help them to prepare appropriate learning material based on student's need. The method used in conducting this research was descriptive quantitative method. The population of this study were all students of English Department who have passed the listening, reading, speaking and writing courses from level I up to level UL Whereas, the sample of this study were 30 students. The data were acquired from two sets of questionnaires. First was Strategy Inventory for Language Learning (SILL) questionnaire used to find out students' direct language learning strategy. Second was Motivational Element Questionnaire used for indicating their motivation level in learning English. The result scores of both was calculated and tabulated to identify the rank order, as the formula used for data analysis was Spearman rank-order correlation. It was used to get the correlation value between research variables. The result indicates that the correlation between direct language learning strategy instruction and students' motivation was significant with the correlation value of 0,5 which is high. In conclusion that direct LLS used has significant correlation to students' motivation. The more the students used the Language Learning Strategy in their language learning process was the higher their motivation would be.
Security Enhancement Of Information Using Multilayered Cryptographic Algorithm

The main aim of advanced Cryptographic techniques is to provide data security which helps to avoid data hacking and illegal access of data. Providing data confidentiality and strong peer to peer authentication using the multilayer linear feedback shift register (LFSR) cryptographic technique  to reduce the cost of encryption as well as storage and computation. One Time Pad algorithm developed in multilayer which defines the signal transmission in the medium is used to provide information security. For various levels of bit handling in data communication systems authentication keys are implemented in LFSR cascaded cryptography in both encryption and decryption process. For improved data security cascaded LFSR cryptography is analyzed. While processing an image, two stages of encryption and decryption done using multilayered cryptography which enhances the data security.
IMPLEMENTATION OF CONTEXTUAL TEACHING AND LEARNING IN LEARNING INDONESIAN LANGUAGE AT SD 002 SUNGAI SALAK

The purpose of this study is to improve learning outcomes in Indonesian by using a contextual teaching and learning model. This research method using classroom action research at SD 002 Sungai Salak with a total of 17 students. The results of this study at the first meeting of the first cycle, the teacher activity score was 53.57% in the Good category. At the second meeting of the first cycle the teacher activity score was 71.43. The third meeting to the fourth meeting the teacher's activity increased by 3.57%. At the first meeting of the first cycle, the student activity score was 50.00% in the Enough category. At the second meeting of the first cycle the student activity score was 60.71%. At the third meeting of the second cycle the score of student activity was 75.00% in the Good category. At the fourth meeting of the second cycle the score of student activity was 78.57% in the Very Good category. The third meeting to the fourth meeting, student activities increased by 3.57%. Indonesian language learning outcomes After learning the Contextual Teaching and Learning model by giving daily tests I with a total score of 1240 with a class average of 72.94 with 11 students who did not complete 6 students, while in cycle II with a total score of 1420 with an average of 83.53 with information on completeness of students who completed as many as 15 people who did not complete 2 students.
생활문화 공동체 활동이 감성마을 만들기에 미치는 영향: 경남 의신마을을 대상으로

To purpose of this study was to investigate the relationship between club activities, emotional intelligence, social participation, entrepreneurship. A questionnaire survey was conducted on local residents (134-part Uisin Village with various community and club activities and 119-part nearby villages with low club activities).The IBM SPSS statistics 21.0 and the IBM SPSS AMOS 21.0 statistics packages were utilized for data analysis to verify the factors, analyze feasibility and reliability, and test research hypotheses. In addition, a multi-group analysis was conducted to analyze the effectiveness of regulation according to the existence of community activities. Results showed that all variables are significantly affected by the improvement of emotional intelligence through club activities.
Práctica pedagógica para la comprensión lectora en la competencia mediática de la Universidad Laica Eloy Alfaro de Manabí (Ecuador)

espanolEs una investigacion experiencial exploratoria descriptiva con un enfoque cuali-cuantitativo; las profesoras son sujetos participantes. El objetivo es identificar el grado de comprension lectora de cara a la competencia mediatica que dispersan los jovenes universitarios en sus tareas academicas; la exploracion se desarrollo en el segundo periodo del ano 2018-19 desde la Asignatura Aprendizaje de la Comunicacion Humana, mediante la aplicacion de un cuestionario modelo auto-administrado. Se analizo una muestra trascendental (N=116). El texto esta clasificado en siete preguntas y trata de la “nomofobia” o estres disparado por el uso obsesivo del telefono celular, la lectura emprende distintas analogias, sinonimos y antonimos. Los resultados evidencian un grado de comprension lectora del 31,77%, imprimiendo la necesidad de reforzar la ensenanza y formacion profesional que implica la practica pedagogica a traves de la lectura, a fin de fomentar la comprension lectora y mediatica en las actividades academicas que los jovenes universitarios enfrentan. EnglishThis is a descriptive, exploratory experiential research study using a qualitative-quantitative approach; where teachers are participating subjects. The objective was to identify the degree of reading comprehension displayed by young university students in their academic tasks in terms of their media competence. The exploration was carried out in the second period of the 2018-2019 school year within the Learning of Human Communication Subject, through the application of a self-administered model questionnaire. A transcendental sample was analyzed (N=116). The text is classified into seven questions and deals with “nomophobia” or stress triggered by the obsessive use of the cell phone, reading takes on different analogies, synonyms and antonyms. The results show a degree of reading comprehension of 31.77%, printing the need to reinforce the teaching and professional training that involves the pedagogical practice through reading, in order to promote comprehension in reading and the media in academic activities that young college students face.
Testing the Null

Traditional statistical testing, sometimes called null hypothesis significance testing (NHST), and the use of p-values has come under strong criticism. This chapter looks at the social issues of achieving significance in statistics that has led to the problems of NHST. It also discusses, though, how the framework of severe testing provides a way to understand NHST as a means of uniting experiments, statistics and evidence for research ideas. When viewed this way, NHST can still be an important approach to data analysis in HCI.
Implementasi Logika Fuzzy Dengan Metode Tsukamoto Untuk Menentukan Tingkat produksi Beras Berdasarkan Data Persediaan dan Jumlah Permintaan

Total Rice Production in Sihotang Stores must be in accordance with the existing demand and supply, if the amount of production that is not appropriate will result in shop losses because there is no analysis of buyer requirements for product demand and supply. Sihotang Rice Store is a domestic industry that produces rice only estimates the needs of buyers . In producing rice, only estimating the buyer's needs is not certain that the buyer's needs are not met or exceeded. In the analysis, the amount of production in the Store uses the Tsukamoto Fuzzy logic method. Data were analyzed based on demand, supply and amount of production that was never carried out by the Sihotang Rice Shop. In Tsukamoto's Fuzzy Conclusion Drawing method, each consequence of a rule must be represented by a set of Fuzzy with monotonous membership functions, as a result, the output of the inference of each rule is given explicitly with a predicate, the final result obtained using a weighted average.
Blockchain Technology and Artificial Intelligence (AI) in Fintech

Blockchain technology and Artificial Intelligence (AI) have immense potential to transform the financial ecosystem .The aim of this paper is to conduct a research on blockchain technology and Artificial Intelligence (AI) in fintech sector. Fintech (financial technology) means “technology enabled financial innovation”. The subject of the paper includes explaining Artificial Intelligence (AI) and blockchain technology in finance sector,   cryptocurrencies, decentralized platforms, banking industry and business models.
ANALYSIS OF STUDENT DIFFICULTIES IN BLOOD LEARNING IN CALCULUS COURSES

The impact of the Covid-19 pandemic has paralyzed the face-to-face teaching and learning process and has been diverted from home learning, with the aim of minimizing its spread. As a result, the learning process is carried out online through various applications. In online learning you will need a large quota in order to use it. The learning used by researchers is using google classroom. The purpose of this study was to describe the difficulties faced by students during the online learning process. This type of research is descriptive qualitative. The subjects in this study were first semester students of STMIK Pelita Nusantara who were taking calculus I lectures. Data collection techniques used were questionnaires using google form. The results of the analysis show that students face several difficulties, such as limited internet quota, inadequate internet network, ease of online learning, interest in taking online learning, and most students choose to study conventionally. From the results of the Middle Semester Examination scores were obtained from 69 students with an average of 70.5 and a standard deviation of 8.6. From the results of the analysis obtained, how to solve the problem, it is necessary to improve learning strategies that are able to support the learning process online. In addition, teachers (lecturers) must improve their Computer Information Engineering skills in order to be able to create and use creative and innovative online learning
A Survey of Open Source Cloud Computing

Cloud computing is a service-oriented architecture that offers a high level of flexibility and on-demand self-service, powered by existing technologies like virtualization and the internet. Open source software (OSS) is a type of computer software in which the source code is made publicly available under a license that allows users to review, modify, and distribute [1]. Open Source Cloud Computing is, therefore, any cloud solution developed with open-source software. This paper examines current trends in cloud computing and open-source software and serves as a road map for future research. This research aims to provide a detailed overview of the two open cloud computing solutions, Xen Cloud Platform (XCP) and OpenStack
HCI 2020: Looking Back To the Future

In March, 2007, a forum entitled HCI 2020: Human Values in a Digital Age, was held in Sanlúcar la Mayor, Spain, just outside Seville. Its purpose was to gather luminaries in computing, design, social sciences, and scientific philosophy to discuss, debate and help formulate an agenda for human-computer interaction (HCI) over the next decade and beyond. This resulted in a detailed report, released in April 2008, in the form of a book called Being Human: Human-Computer Interaction in the Year 20201, authored by 45 members of the wider HCI community.
Quantum Shift Based Gaze Pattern Recognition Using Recurrent Neural Machine Learning Technique

Gaze pattern recognition is the technique for detecting what and where the human eyes are pointing in a predefined plane. It is important for predicting human attention and also used to recognize human activities along with interactive systems. Several techniques are introduced in the field of human vision identification with a number of patterns. These methods achieve fewer eyes tracking quality and it takes more time complexity (TC) for recognition.  A new technique called Quantum Shift Based Recurrent Neural Machine Learning (QS-RNML) technique is developed for efficient gaze pattern recognition with minimum time. At first, the number of eye images is taken from the Dataset (DS). QS-RNML technique includes three processes namely preprocessing, gaze estimation and pattern recognition. The Adaptive median filter is employed in preprocessing of eye images for removing the noise artifacts from eye images. In gaze estimation process, Quantum Shift is applied to estimate the patterns by movement of the eyelid in gaze plane. After that, Recurrent Neural Machine Learning technique is used for recognizing the gaze patterns by matching the estimated patterns with the ground truth patterns.  The proposed QS-RNML technique is simple and efficient for identifying the human visual attention, emotion, feelings and so on. Simulation results of proposed QS-RNML technique are carried out using Synthes eyes DS and MPII gaze DS. The results evident that QS-RNML technique improves gaze pattern recognition accuracy (GPRA), true positive rate (TPR) and lessens the TC as well as false positive rate(FPR).