Reviewerly/exHarmony huggingface dataset:
Towards Automatic Subtitling: Assessing the Quality of Old and New Resources

Growing needs in localising multimedia content for global audiences have resulted in Neural Machine Translation (NMT) gradually becoming an established practice in the field of subtitling in order to reduce costs and turn-around times.Contrary to text translation, subtitling is subject to spatial and temporal constraints, which greatly increase the post-processing effort required to restore the NMT output to a proper subtitle format.In our previous work (Karakanta, Negri, and Turchi 2019), we identified several missing elements in the corpora available for training NMT systems specifically tailored for subtitling.In this work, we compare the previously studied corpora with MuST-Cinema, a corpus enabling end-to-end speech to subtitles translation, in terms of the conformity to the constraints of: 1) length and reading speed; and 2) proper line breaks.We show that MuST-Cinema conforms to these constraints and discuss the recent progress the corpus has facilitated in end-to-end speech to subtitles translation.
Information Gathering Behaviour of Students of Government Diploma Institutes of Odisha through Print Media

The act of seeking information by the learners has few tenets which play important roles in upgrading collections, services, and facilities to effectively develop a library. The study investigates the information channels preferred by the students of Institutes imparting Diplomas in the Government sector in Odisha. The study adopts a questionnaire method to collect data on the use of print resources only for 3 weeks in January 2020 with the due permission of the faculty members of the institutions. While considering the optimum number of responses 400 sets of questionnaires have been distributed among the community of students out of which 351 reciprocated. The collected data has been analysed by using different statistical methods like simple percentage, mean, correlation coefficient, etc. The main objective of the paper is to find out the attributes of preference of print media over other formats, to compare the perceived values of print formats by the students of two branches i.e. civil engineering and mechanical engineering and to analyse the expectations of students from the library services. To establish the validity of the objectives, two hypotheses have been framed and tested. It is found that out of the four major formats of sources viz., print, electronic, audio, and audiovisual, the print resources have some unique advantages for which they are still preferred but the library needs to update its collections to meet the expectations of its users.
Intelligenza artificiale e giustizia: potenzialità e rischi

After a brief introduction on the definition of Artificial Intelligence (AI), the article questions whether delivering justice could or should be entirely entrusted to AI itself. On the basis of technological, legal and ontological reasons, the article excludes this possibility, recalling how AI can instead usefully assist human judges in performing their function. The article ends by proposing a list of “human rights”, understood as those exercised by humans in order to maintain control over AI-assisted justice.Keywords: Artificial Intelligence; Justice; Next Generation Human Rights.
Enhancement of speech scrambles using DNA technique and chaotic maps over transformation domain

This work presents and describes a new method for speech scrambles in light of chaotic maps and DNA coding.Both a wavelet transform (DWT) and Discrete cosine transform (DCT) are used to change the speech signal into another format for processing.The chaotic maps are represented by Logistic-Chebyshev map (LCH) and Random Logistic map (RLM) which are employed for generating sequences of keys that are used in the proposed system, hence the use of DNA encoding technology as an emerging technology for enhancing the security of speech.The proposed system is illustrated explicitly and tested with various security speech signals metrics, such as the coefficient, signal to noise ratio and peak signal to noise ratio.All tests of the proposed system concluded that the speech signal is reliably secure and undetectable, and hence the proposed system provides a sufficient security level.
Implementation of FPGA accelerator architecture for Convolution Neural Network in Emotional Recognition System

The field of deep learning, artificial intelligence has arisen due to the later advancements in computerized innovation and the accessibility of data information, has exhibited its ability and adequacy in taking care of complex issues in learning that were not previously conceivable. The viability in emotional detection and acknowledging specific applications have demonstrated by Convolution neural networks (CNNs). In any case, concentrated Processor activities and memory transfer speed are necessitated that cause general CPUs to neglect to accomplish the ideal degrees of execution. Subsequently, to build the throughput of CNNs, equipment quickening agents utilizing General Processing Units (GPUs), Field Programmable Gate Array (FPGAs) and Application Specific Integrated circuits (ASICs) has been used. We feature the primary highlights utilized for productivity improving by various techniques for speeding up. Likewise, we offer rules to upgrade the utilization of FPGAs for the speeding up of CNNs. The proposed algorithm on to an FPGA platform and show that emotions recognition utterance duration 1.5s is identified in 1.75ms, while utilizing 75% of the resources. This further demonstrates the suitability of our approach for real-time applications on Emotional Recognition system.
تقصى المعتقدات البیداجوجیة لمعلمی العلوم نحو الدمج التکنولوجی

: The purpose of the study is to investigate the pedagogical beliefs and the level of confidence of science teachers in their ability to use technology during the educational process through a questionnaire in the integration of computer technology, consisting of 21 items, and the study was conducted on a sample of 27 science teachers. The results of this study showed that 55.6% of the sample of science teachers have a high level of confidence in their ability to use technology in the educational process, and that the relationship between the type of educational institution and the pedagogical beliefs of science teachers is not statistically significant, and the trend of science teachers with a master’s degree is very positive towards using Technology in the educational process. This study recommended taking into account the pedagogical beliefs of science teachers towards technological integration in the design of professional learning programs because they affect the teaching practices within the classroom.
MODEL DAN PELUANG TERJADINYA HUJAN BERDASARKAN KELEMBABAN MENGGUNAKAN REGRESI LOGISTIK BINER DI KABUPATEN MANOKWARI

Manokwari Regrency has a tropical climate. This results in significant rainfall. One factor that stimulates rain is humidity. By using binary logistic regression, the model an chance of rainfall based on humidity can be determined. Logistic regression analysis is used to determine the relationship between categorical scale response variables and numeric or categoric scale explanatory variables. If response variable used is nominal scale with two possoble value (0 and 1), then it is called binary logistic regression. Estimation of the model is done by logit transformation. The model produce in this study is g(x) = -23.443 + 0.289 humidity. The accuracy of the model is 70.4 percent and the probability of rain for humidity lowering one unit will be reduced to 0.74.
Welcome to DNA—An Open Access Journal

We are very proud to launch this new and exciting international peer-reviewed open access journal [...]
Integrating Business Process Improvement and Information Systems to Improve Service Quality: A Conceptual Model

PT. X is a company that is engaged in testing telecommunications equipment. In its business activities there are some special problems in the current business processes and information systems that are not optimal. This research was conducted to examine the quality of services produced by business processes and information systems used today. The method used is to integrate Business Process Improvement with information systems to improve service quality. The results obtained from this study consist of a conceptual model for getting business processes and designing information systems that have accommodated business process and service improvements.
Future Primary School Teachers Training for the Implementation of «Daily 3» Technology

The article deals with the conceptual provisions of innovative pedagogical technology of teaching mathematics to primary school students «Daily 3», which considers students' interest in mathematics, developing their skills of independence, ability to work in a team and communicate by engaging in various activities. Theoretical principles of conducting mathematics independently, mathematics with a friend and mathematics writing are revealed. The generalized algorithm of conducting «Daily 3» is given and the structure of such lesson is presented. Factors that prevent the full implementation of the technology «Daily 3» in Ukrainian primary schools are analyzed. The optimal way of future primary school teachers training for realization of this technology is offered. It consists in considering within the discipline «Methods of teaching the educational field of mathematics» its elements, and while studying the discipline of free choice «Methods of teaching mathematics: technological approach» detailed disclosure of didactic and methodological foundations of mathematics independently, mathematics with a friend and mathematics in writing.
Offline Writer Recognition for Kurdish Handwritten Text Document Based on Proposed Codebook

Handwritten text recognition has been an ongoing attractive task to research in the field of document analysis and recognition with applications in handwriting forensics, paleography, document examination, and handwriting recognition. In the present research, an automatic method of writer recognition is presented using digitized images of unconstrained texts. Despite the increasing efforts by prior literature on the different methods used for the same purpose, such methods performance, particularly their accuracy, has not been promising, leaving plenty of room for improvements. This method made use of codebook-based writer characterization, with each writing sample represented by a group of computed features from a primary and secondary codebook. The writings were then represented through the computation of the probability of codebook patterns occurrence, and the probability distribution was employed for each writer’s characterization. Writer identification process involved comparing two writings through the computation of the distances between their respective probability distribution. The study carried out experiments to determine the performance of the implemented method in light of rates of identification with the help of standard datasets, namely, KRDOH and IAM, the former being the most current and largest Kurdish handwritten datasets with 1076 writers, and the latter being a dataset containing 650 writers. The outcome of the experiments was promising with a rate of identification of 94.3%, with the proposed method outperforming the state-of-the-art methods by 2–3%.
Digital Behaviour of Rural School Students: Attitudes and Perception of Digital Technologies

Digital technologies have become essential tools in today’s society in many ways. However, not all of them have undergone formal training or assistance to be competent for them to survive in a challenging environment in a digital world. Hence, this study is intended to determine the digital behavior of students in rural schools, including learning how youth self-evaluate their perceptions of digital technologies, digital competencies, and attitudes towards digital technologies. A descriptive quantitative methodology was employed, using survey questions were distributed to selected secondary schools in rural areas. Based on the descriptive analyses of 211 responses, the findings indicate there is a high level of attitude toward ICT usage. Troubleshooting, staying safe online, and being credible; as well as in the ethical knowledge, were found moderately competent. Digital security attributes were at a moderate level; however, privacy concerns have reached a high level of agreement. Perception of ethical digital behaviour was significantly associated with the frequency of ethical digital behaviour of the school students. Specific concerns and emphasis on youth digital technology usage and education must be imposed on ensuring that they are not neglected, and vulnerable to cybercrime, but also on fostering a responsible e-society with excellent digital citizenship attributes.
Knowledge graph embedding via the properties of mapping and dynamic matrix

Objective:The main objective of this research is constructing a knowledge graph using a superior model that leverage the knowledge through relational mapping properties and the matrix constructed dynamically based on the changes in the relational mapping.Methods: This research work proposes symbolic objects in the knowledge graph that are signified by two vectors, the first vector denotes the entity/relation and the vector denote the matrix which is constructed with the help of mapping properties.The proposed methodology uses only minimum parameters and avoids multiplication processes which make the proposed scheme effective in the large scale graphs.The matrix representation with the assistance of mapping properties reduces the computational complication and the time requires to attain the knowledge is also minimized.Findings: The empirical research on knowledge graph mining gives significant insights and it is applied on benchmark datasets namely FB15K-237 and WN18RR.The performance are evaluated in terms of precision and recall in percentage.
Media richness and adoption intention of voice assistants: a cross-cultural study

This study investigates how voice assistants' responses influence customer engagement with voice assistant providers. Voice assistants have been developed by different cultures and countries and include different cultural characteristics. Most voice assistant providers focus on language localisation, but this is not enough. In fact, customer engagement with a voice assistant provider will be significantly affected by different consumer purposes. Users expect voice assistants to provide different levels of media richness for different purposes. An experiment (327 participants from Taiwan and the UK) reveals that British people prefer low media richness when their intentions are transactional and high media richness when their intentions are non-transactional. On the other hand, Taiwanese people prefer high media richness when their intentions are transactional and low media richness when their intentions are non-transactional. Overall, the findings give media richness theory a new interpretation that is applied to voice assistants, and also gives voice assistant providers a cross-cultural insight.
Common Threats to the Efficiency and Productivity among Public Sector Employees in Jordan

The performance of employee's efficiency and productivity considered as significant indicators to determine competitiveness and productivity for institutions. The purpose of this study is to investigate the threats of efficiency and productivity among the employees in the Jordanian public institutions. The research method used is qualitative method by performing a semi-structured interviews with open-ended questions for (40) employees in the Jordanian public institutions. The results of the study show that threats of efficiency and productivity in public institutions employees are poor skill level, non-provision for rewards and appreciation, unawareness of latest project management techniques, prolonged purchase procedures, trade-off in cost and quality of equipment, rework and quality issues and distance between workplace and house. Formal, specialized and modified productivity improvement model recommended overcoming on these threats.
PERSEPSI PESERTA DIDIK TERHADAP 10 KETERAMPILAN MENGAJAR GURU BIOLOGI PRAKTEK LAPANGAN (PL) DI SMAN 1 BUKITTINGGI

The purpose of this study was to find out students' perception of the teaching skills of field practice biology teachers (PL) at SMAN 1 Bukittinggi. This research is descriptive research. The sampling technique used is Random Sampling, where each class is sampled for 20% of the total number of students. Thus from the population of mipa students in grade X and XI SMAN 1 Bukittinggi in the 2018/2019 school year amounted to 273 students spread across 8 locally, sampled by 20% of 56 students. The data obtained is processed using percentage technique (%). Based on the analysis of data obtained from the results of the study, it is known that students' perception of the teaching skills of field practice biology teachers in SMAN 1 as a whole is good with a percentage of 82.25%. While reviewed from each sub-variable described as follows: 1) Skills of opening and closing learning with a percentage of 85.14%, good category; 2) Skills managing classes with a percentage of 77,68%, category is quite good; 3) Reinforcement skills with a percentage of 74,25%, the category is quite good; 4) Skills guiding small group discussions with a percentage of 79,51%, a pretty good category; 5) Questioning skills with a percentage of 82.71%, good category; 6) Skill explaining with percentage 81.28, good category; 7) Skills held variasai with a percentage of 79.21%, the category is quite good; 8) Teaching skills of small groups and individuals with a percentage of 78,20%, the category is quite good; 9) Skills to develop and use learning media with a percentage of 82.42%, good category; 10) Esq developing skills with a percentage of 78.42%, the category is quite good.
Research of Health Indicators in the Blended Learning System

The problem of the combination of classroom and independent work is quite topical and perspective. Modern educational priorities are focused on the independent activities of students in the educational process through e-learning. Scientists suggest that the level of academic performance depends on the level of health and adaptation, and also indicate a definite link between learning achievement and e-learning. The purpose of the research is to investigate indicators of physical health and adaptive capabilities in the blended learning system, to substantiate and improve methodological recommendations for organizing students' independent work in blended learning. The sample of this study was made by students of the Kharkiv V. N. Karazin National University, Faculty of International Economic Relations and Tourism Business in the amount of 403 people. All participants signed an agreement to participate in the study. In the course of the study, the following methods were used: the method of theoretical analysis, test methods, as well as statistical processing and mathematical analysis methods. During the work, the dynamics of student performance over the two academic years was evaluated. According to the results of the study, a correlation of the level of students' health with a level of academic performance was found. Also, has been proven the direct connection of adaptive capabilities with learning success. The number of hours of classroom work did not affect the level of knowledge formation, which in turn indicated some differences in the learning mastering indices: they were higher for students of the blended form of education (based on LMS Moodle) than in the group of correspondence courses. Eventually, indicators of influence on the level of academic progress were defined. The features of the formation of knowledge in the classroom and independent work are investigated. Scientifically substantiated and improved guidelines for the organization of students' independent work.
Identification of Emotions from Sentences Using Natural Language Processing for Small Dataset

Emotions are a significant part of human nature. The study of emotion can lead research automatically to analyze sentiment either of a sentence or a human being. Multiple researchers did their researches in the area of Natural Language Processing (NLP) and specially sentiment analysis. But there is a way to study it more efficiently, if the emotion drafted in the sentence can be identified, and also, the new symbols like emojis are taken into consideration. Most of the studies are done with a feasible amount of data. But, if a problem arises, then there is less dataset available initially. So, achieving good accuracy with less data is a herculean task. So, in this chapter, the emotion drafted in multiple sentences is figured out with less amount of data, which also contains some symbols used in the modern era for the communication of information.
PENINGKATAN MOTIVASI BELAJAR DAN KETERAMPILAN DASAR IMPLEMENTASI MPKP MELALUI MEDIA VIDEO DI STIKES BHAKTI AL QODIRI JEMBER

In general, students do not understand broadly the description of the MPKP nursing, pre and post conference rounds. Based on the background of the problem, it encourages the writer to conductfurther research on video media, an increase in motivation to learn and the implementation of MPKPin Nursing undergraduate students, STIKes Al Qodiri Jember. The purpose of this study was todetermine the increase in learning motivation and basic skills of MPKP in the Nursing undergraduatestudents of Stikes Bhakti Al Qodiri Jember. This research design uses quasy experiment. The samplingtechnique uses cluster random sampling, with 15 students as respondents. Analysis of the data used issimple linear regression. the results of statistical tests using simple linear regression on learningmotivation showed that a regression coefficient of 0.451 was obtained with a p value of 0.030. Thismeans that p &lt;α, Ho is rejected and MPKP implementation shows that a regression coefficient of0.277 is obtained with a p value of 0.035. This means that p &lt;α, Ho is rejected.
Tingkat Literasi Digital Mahasiswa Jurusan Ilmu Perpustakaan Dalam Pemanfaatan E-Resources UIN Raden Fatah Palembang

This paper aims to analyze the level of digital literacy ability of 2016 Department of Library Science students in utilizing the e-resoures of UIN Raden Fatah Palembang. This research is a descriptive study with a quantitative approach. Data collection methods using questionnaires, observations, and documentation. The population in this study were all library students of 2016. The validity test used the Pearson product moment formula and the reliability test used the Cronbach alpha formula. The results of this study indicate that the Analysis of Digital Literacy Ability in Utilizing e-resoures by 2016 Department of Library Science students of UIN Raden Fatah Palembang is relatively high. The total average value of all sub-variables in this study was 3.95. With a scale of 0.8 the interpretation of the score in this study is 3.4-4.2 = High. The conclusion is that the level of digital literacy ability in the use of e-resoures by Library Science students in 2016 is relatively high.