Reviewerly/exHarmony huggingface dataset:
Teachers Understanding about Interesting Online Learning Media

Implementation of Indonesian Education in the New Normal Era after the global Covid-19 pandemic uses an online learning system in accordance with new policies and regulations from the government to break the chain of virus spread in the community. With this system, teachers and students are required to understand online learning media quickly. However, students feel bored with the online learning system because it tends to be monotonous and many tasks are given. In addition, teachers are not necessarily proficient in using these online learning facilities and media, especially to make online learning interesting so that students do not get bored. Therefore, a webinar was conducted to improve teacher’s understanding of interesting online learning media such as Kahoot, Mentimeter, and Quizizz. Based on the results of quantitative calculations through the participant’s pre and post-tests, the participant’s knowledge changes were 28% on Mentimeter, 23% on Kahoot, and 18% on Quizizz.
Self-sovereign Identity Management in Wireless Ad Hoc Mesh Networks

Verifying the identity of nodes within a wireless ad hoc mesh network and the authenticity of their messages in sufficiently secure, yet power-efficient ways is a long-standing challenge. This paper shows how the more recent concepts of self-sovereign identity management can be applied to Internet-of-Things mesh networks, using LoRaWAN as an example and applying Sovrin’s decentralized identifiers and verifiable credentials in combination with Schnorr signatures for securing the communication with a focus on simplex and broadcast connections. Besides the concept and system architecture, the paper discusses an ESP32-based implementation using SX1276/SX1278 LoRa chips, adaptations made to the lmic- and MbedTLS-based software stack, and practically evaluates performance aspects in terms of data overhead, time-on-air impact, and power consumption.
AIBPO: Combine the Intrinsic Reward and Auxiliary Task for 3D Strategy Game

In recent years, deep reinforcement learning (DRL) achieves great success in many fields, especially in the field of games, such as AlphaGo, AlphaZero, and AlphaStar. However, due to the reward sparsity problem, the traditional DRL-based method shows limited performance in 3D games, which contain much higher dimension of state space. To solve this problem, in this paper, we propose an intrinsic-based policy optimization (IBPO) algorithm for reward sparsity. In the IBPO, a novel intrinsic reward is integrated into the value network, which provides an additional reward in the environment with sparse reward, so as to accelerate the training. Besides, to deal with the problem of value estimation bias, we further design three types of auxiliary tasks, which can evaluate the state value and the action more accurately in 3D scenes. Finally, a framework of auxiliary intrinsic-based policy optimization (AIBPO) is proposed, which improves the performance of the IBPO. The experimental results show that the method is able to deal with the reward sparsity problem effectively. Therefore, the proposed method may be applied to real-world scenarios, such as 3-dimensional navigation and automatic driving, which can improve the sample utilization to reduce the cost of interactive sample collected by the real equipment.
The Effect of Communication Skills on the Quantum Management Skills of Librarians and Their Role on the Agility of Libraries

Introduction Communication skills are essential for the survival and durability of variety of organizations, including libraries, which their proper use in the library environment is a critical feature of the librarianship as a profession that can affect even the management skills of libraries. The present study aims to measure the impact of communication skills on quantum management skills of librarians and their role on agility of libraries.Methodology The present study is descriptive-analytic and modeling based on structural equation model. The research community is librarians of Iran University of Medical Sciences libraries.. Information gathering tool, Barton J's Communication Skills Questionnaire. E (2006), Theoretical Quantum Management Questionnaire and Basrawi (2015), and Organizational Agility Questionnaire Sharifi and Zhang (2010). FindingsThe results showed that the effect of communication skills on quantum management is higher than the hypothetical mean level of 3. Also, the effect of communication skills on organizational agility was greater than the effect of quantum skills. What was understood from the final model was that the path coefficient effect of communication skills on quantum management with the value of r = 0.87 rather than its path coefficient effect on libraries' agility with the value of r = 0.72 was higher. Also, in the final model, it is found that in the communication skills component, listening skills with standard factor load of r = 0.96, was more effective compared to the verbal component with standard factor load of r = 0.93 and the feedback component with standard factor load of r = 0.77. In the component of quantum management skills, trust with standard factor load of r = 0.94 and seeing with standard factor load of r = 0.91 compared to the other quantum management skills, had the most effect and component of action with factor load of r = 0.61 and the component of emotion with factor load of r = 0.64 had the least effect on organizational agility. In the component of organizational agility, responsiveness with standard factor load of r = 0.95 and flexibility with standard factor load of r = 0.89 compared to speed with standard factor load of r = 0.75 and competency with standard factor load of r = 0.63 received the most impact from communication skills and quantum management skills.ConclusionDue to the positive impact of communication skills and the complex nature of the communication process, it is necessary to develop interpersonal communication skills in the librarians regarding their professional needs to benefit their skills in library management and moving their activities towards dynamicity and agility.
Meningkatkan Kemampuan Siswa untuk Membaca Awal melalui Strategi Bimbingan Langsung kepada Siswa Kelas I SDN Dinoyo 2 Malang

The problem in this research is whether the direct guidance strategy learning model can improve the beginning reading ability of grade 1 students at SDN Dinoyo 2 Malang. This study aims to improve the ability to begin reading by using direct guidance strategies. This research is a classroom action research (PTK). The research subjects were students in grade 1 with a total of 22 students. The research location is SDN Dinoyo 2 Malang. Data collection techniques by observation, and tests. Data analysis was performed by qualitative descriptive analysis. The results of teacher and student observations in this study on average were in the good category. This research shows, (1) learning planning with direct guidance strategies is carried out with preparation in the form of learning implementation plans, methods, strategies and media in the form of reading source designs through text sheets. (2) The implementation of direct guidance strategies has improved students' reading learning, so that the learning atmosphere becomes more pleasant, (3) The learning outcomes with direct guidance strategies have been able to improve the ability to read at the beginning. This is evidenced by the test results in cycle one with a class average score of 68.2% or in the sufficient category. In cycle two students have experienced an increase in the class average score of 90.9% or are in the very good category.
Fort Systems | Google Cloud Platform Migration

Now in a day’s having all the services and workloads on various platforms is very difficult, time consuming and cost effective due to which many business organization fails upon fulfilling the client needs. Also it needs professionals well versed in all the aspects of software development. If at something goes wrong at some places it difficult to find the exact place where the problem was because it needs assistance from scratch and all the developers and professional needs to be involved. Which takes a lot of effort, so here in this paper we focus on demonstrating how Testing has to be done remotely if any software is installed on some other platforms. Here we focus on migrating the services and workloads from various platform to Google cloud platform.
A Conceptual Framework for Enterprise Risk Management in Malaysian Public Higher Education: Applications of Knowledge Management

Malaysian higher education has been known as one of the major contributors towards the country's growth as they are striving towards knowledge-economy. Therefore, they also exposed to the risk due to inefficient in utilizing the government funds which resulted an input slacks. Hence, Public Higher Education (PHE) needs to implement Enterprise Risk Management (ERM). ERM has been recognized as one of the strategy or method in order to manage the risk across the organization and providing the solution. Thus, by implementing ERM, it will help the higher education to manage the risk. Nevertheless, there are very limited studies that focus on the implementation of ERM in Malaysian PHE specifically. Hence, the aim of this paper is to propose a conceptual framework for ERM in Malaysian PHE by adapting Knowledge Management and open system theory. This conceptual framework can be practiced as a guideline for quality accreditation in the future.
INTELIGËNCIA ARTIFICIAL E DIREITO

The exponential inclusion of new technologies in law and society requires a substantive approach, replacing the preconceived idea of the (non-existent) neutrality of new technologies, which allows the impact of this new approach on politics, law and society to be critically refined.
Intelligent Decision Support System in Inheritance Processes : a Research in the General Attorney Office of the State of Pernambuco

The Brazilian public legal sector is typically marked by the disproportionate ratio between the number of cases and the available number of specialized employees. However, many of these processes have minor importance for the State, which promotes overload for highly specialized and expensive employees with non-important activities that could be performed automatically or redistributed to lower level professionals. The present work proposes a decision support approach for analyzing inheritance processes in a state attorney's office. The objective is to develop a system for collecting, classifying, analyzing and ranking processes using text mining and machine learning in order to automate the document analysis procedure in a semantic manner. The put forward approach offers a novel way for objectively distribute processes according to their monetary importance and the hierarchical level of the involved professionals. The approach also proposes a tunable semantic analysis, which takes into account the user experience for the automatic document ranking, which can be easily adapted for other analytical activities in attorney's offices.
Korean language overseas

This study aims to examine the present state and the Korean government’s promotion policy of Korean language education worldwide, and to propose a development plan for it. Many are learning the Korean language at educational institutions worldwide, such as the King Sejong Institute, the Korea Education Centre, and regular local institutions. This is due to the spread of Hallyu and the government’s promotional efforts, as well as the rise of Korea’s national prestige. However, it is time for Korean language education to focus on qualitative growth beyond quantitative growth. A constant effort by the Korean language education sector is required.
Experimental study of granite-ultramafic interaction and its effect on gold solubility in aqueous-chloride solutions

An experimetnal study of contact interaction of chemically contrasting rock types has special meaning for ophiolites. Contrasting rock types peculiar to ophiolites, dunites and granitoids were chosen. Experiments were run at 300-500°C and 1 kb total pressure in water and NaCl solutions of variable acidity. It has been found that metasomatic interaction between the rocks are defined by counter diffusion of Ca+Si and Mg, accompanied by Na-metasomatism and desilification of granitoids. Results indicate that interaction between studied rocks leads mainly to Si and K mobilization, neutralization of initial acid and alkaline solutions due to the rock-buffering effect, and decrease gold solubility.
Crew resource management training by Norman Macleod

I was interested in reviewing “Crew Resource Management Training” by Norman Macleod as I am a Human Factors Specialist working for a Rail Transportation Regulator. There are many parallels between ...
기업 프레젠테이션의 순차통역 상황에서 연사와 통역사의 손짓의 사용 양상에 대한 비교 고찰

With the development of machine translation technology, the competitiveness of human interpreter needs to be further strengthened. In light of this, translating nonverbal message is more important than ever. Just like the speakers who make full use of nonverbal communication, interpreter also needs to pay attention to the importance of nonverbal communication. Of all the kinesics, the most frequently used is the hand gesture. The purpose of this paper is to compare and analyze the hand gesture of the speaker and that of the interpreter. For this reason, this paper set two questions. First, what hand the speaker and the interpreter use during consecutive interpreting for business presentation? Second, is the interpreter influenced by the speaker’s hand gesture? What is the difference or similarity between the hand gesture of the speaker and the interpreter? This paper attempts to analyze the hand gestures of both the speaker and the interpreter. The theoretical background for this analysis consists in the types of hand gesture invented by Morris. On the basis of hand gesture, three hand signals are described—deictic signals, baton signals, symbolic signals. The results are as follow: When the speaker and the interpreter explain the content of PowerPoint, they both use deictic signals or baton signals, and when describing specific words, they use similar symbolic signals. It is worth noting that if the speaker’s message is accompanied with hand gesture, the interpreter is ready to interpret the message with the same hand gesture. This means that the speaker's hand gesture influences the hand gesture of the interpreter, thus affecting the formation of message. This paper is limited to one case, so the scope of its research objects needs to be expanded. This paper demonstrates that interpreter uses the similar or different hand gesture as the speaker does and interpreter’s hand gesture would play an active role in the process of interpreting.
Development of health education program model of young children for prevention and management of fine dust based on e-book using QR code

This study was to develop the health education program model of young children based on e-book using QR code to prevent and manage fine dust. We developed program to prevent and manage fine dust for young children’ health through in-depth discussions with 2 young children's health experts and 3 young children education experts, and developed the e-book using QR code. The program model for fine dust’s prevention education based on e-book using QR code was verified for suitability as a field adaptation and teaching medium for 5-year old. The results of this study are as follows: First, the program model for fine dust’s prevention education based on e-book using QR code was developed through 3 stages of appreciation activity-central activity-finishing activity. Second, the e-book using QR code is a useful teaching medium applicable to fine dust’s prevention education program. In conclusion, the e-book-based fine dust’s prevention education program using QR code will be used as an appropriate education method for fine dust’s prevention and health management activities in the field of education for young children.
Special Issue: Agents and Robots for Reliable Engineered Autonomy

The study of autonomous agents is a well-established area that has been researched for decades, both from a design and implementation viewpoint [...]
Low Complex Block Level Correlation and Registration for Video Frame Interpolation

In this paper, we propose a low complex block level correlation and registration for Video Frame Interpolation (VFI) algorithm. The proposed method finds the correlation between the corresponding non-overlapping blocks. The correlation coefficients indicate the amount of similarity between the blocks. Using the median of correlation coefficients as threshold, the blocks are blended using image registration process. Compared to existing block based Motion Compensated Frame Interpolation (MCFI) methods, proposed algorithm is a low complex algorithm. In the proposed, there is no need of Motion Estimation (ME), smoothing of unreliable Motion Vectors (MVs) and Motion Prediction. Extensive experiments are conducted on various benchmark video sequences. Subjective assessment shows that the artefacts like blocky artefacts, holes, blurry artefacts, and ghost effects in MCFI are overcome by this algorithm, as there is no ME, preserving the true motion of the object to a greater extent is possible. The metrics PSNR (Peak Signal to Noise Ratio) and SSIM (Structural Similarity Index Metric) provide the objective assessment.
IMPROVING STUDENTS' WRITING SKILLS IN RECOUNT TEXT USING TEACHING MEDIA PICTURES AND LEARNING INTERESTS

&lt;p&gt;Abstract: This experimental study aims to determine the effects of teaching media and learning interest on students' writing skills in recount text. The sample of the research is 80 respondents. The technique of collecting data of each variable was acquired from the test. The data were analyzed using a two-way analysis of variance (ANOVA 2x2). The research shows that: 1) there is a significant effect of teaching media towards students writing skills in recount text at State Senior High School in Pandeglang Regency. It is proved by the value Sig 0,000 &amp;lt; 0,05 and Fo = 87,444; 2) there is a significant effect of learning interest towards students writing skill in recount text at State Senior High School in Pandeglang Regency. It is proved by the value Sig 0, 000 &amp;lt; 0,05 and Fo = 46,751; 3) there are no significant interactive effects of teaching media and learning interest towards students' writing skills in recount text at state senior high school in Pandeglang Regency. It is proved by the value Sig 0,05 or 0,380 &amp;gt; 0,05 and Fo = 0,778.&lt;br /&gt;Keywords: teaching media, learning interest, writing skills, recount text.&lt;/p&gt;
The Effect of Leadership Soft Skills on Knowledge Sharing, Analytical Research in Al Fallujah University

The aim of the research is to test the effect and the relationship between the soft leadership skills perceived by the faculty members at the University of Fallujah as an independent variable and knowledge sharing as a dependent variable. and members of the teaching staff), the sample was stratified and quota, as it included the sample whose views are required to be surveyed (183) views out of (318) faculty members. The questionnaire was distributed to the sample and 161 views were obtained from them. The questionnaire’s paragraphs represented (69) items were answered. In addition to the structured and open interviews that were conducted with university leaders (university president, deans of faculties) in addition to the researcher’s field observations, the researcher relied on the program (SPSS V.26, Amos v26) to analyze the research data, and the results showed the validity of the correlation and influence at the level of The main and sub-variables investigated, showing the essential role played by soft leadership skills in influencing the level of knowledge sharing among faculty members at the University of Fallujah.
Current status of the e-learning research field: Challenges and opportunities in the e-learning research field during COVID-19 pandemic

If we stop to think, most of the things we do today require us to be connected. Whether for work, shopping or even to socialize, there is always an alternative for routine tasks to be performed over the Internet. As expected, all this technological evolution even transformed teaching, with the implementation of a methodology called e-learning. This refers to the learning process that takes place over the Internet and with the support of technological tools. Among its advantages we can point out: Substantial savings, Empowerment of human talent, the semiotics of the medium helps the student and teacher in their digital transformation, Triple-A access: (Anywhere, Anyplace and Anytime) and can be adapted to particular needs. However, this educational advance has been accelerated by the emergence of the COVID-19 pandemic. Thus, applying educational innovation, too, has become a necessity to respond to the increased demand for educational services on digital platforms. Therefore, the objective of this research is to carry out an analysis of bibliometric networks to identify the intellectual structure of the e-learning research field during the COVID-19 pandemic, to learn more about its evolution, trends, research areas, authors, among others.
Classification of Sequence Data Using LSTM: An Application on Chaotic Sequences

Shailesh, S. Anantha Krishnan, M. Judy, M. V.Chaos theory and chaotic systems are focused on the study of nonlinear dynamic systems. The chaotic sequences are patterns generated from the recursive nature of chaotic maps. Identification and classification of chaotic systems from a given chaotic sequences are the primary need for any chaotic system analysis. Also, to model a dynamic system that depicts the behavior of an existing system, the chaotic behavior followed by that system needs to be identified. So the problem of classifying these chaotic sequences is prime necessity to address many problems in chaos theory and related domain. In this work, we have used a deep learning model, which is called long short-term memory (LSTM) for this classification task. The model was applied to two different chaotic sequence datasets, one with 1-D sequences scattered over two classes, and the other holds 2-D sequences distributed among three classes. The model gave an average of 90% for one-dimensional sequence dataset and 95% for two-dimensional sequences.
MENGENAL HURUF HIJAIYAH MELALUI PERMAINAN KARTU HURUF BERWARNA

This study aims to improve the ability to recognize hijaiyah letters through the Color letter card game method. This type of research is a classroom action research, which is conducted in 2 cycles. The subjects in this study were children of Group B T RA Maarif Daarul Rahman Marga Tiga Lampung Timur, aged 5-6 years with a total of 25 children. The object of this research is the ability to recognize letters. Data collection techniques in this study are observation and documentation. The research instrument used was an observation guide. The data analysis technique used quantitative descriptive. The results showed that the ability to recognize Hijaiyah letters could be improved through a colorful letter card game. This is evidenced by the ability to recognize letters in the Pre-Cycle, the average percentage only reached 48%, then in Cycle I the average percentage increased to 76%, and the average percentage in Cycle II was able to increase up to 86%. The increase from Pre Cycle to Cycle I was 28%, and an increase from Cycle I to Cycle II was 10%. The positive contribution of this research is to provide information to the wider community that colored lettering cards can be used to improve children's literacy skills.