Reviewerly/exHarmony huggingface dataset:
Peran Orang Tua Meningkatkan Prestasi Belajar Anak di Jalan Gatot Soebroto Lorong Adinda Kelurahan Mautapaga Kabupaten Ende

This study aims to determine the role of parents in improving children's achievement on Jalan Gatot Soebroto, Lorong Adinda, Mautapaga Village, Ende Regency. The problem in this study is what is the role of parents in increasing children's achievements on Jalan Gatot Soebroto, Lorong Adinda, Mautapaga Village, Ende Regency. This study uses qualitative research based on the use of complete and in-depth information in interpreting data about variables, is non-quantitative in nature and is intended to explore in depth and not extend to phenomena. The method used is the method of interviews, observation and documentation. The findings of this study are that the role of parents in determining student achievement at school is very large. Parents who do not pay attention to their children's education, for example, they are indifferent to their child's learning process, do not pay any attention to their child's interests and needs in learning, do not manage their study time, do not provide or complete learning tools, do not want to know how their child's learning is progressing, the difficulties experienced by their children in learning and others can cause children to be less or even not successful in their studies. Conversely, parents who always pay attention to their children, especially attention to their learning activities at home, make children more active and more enthusiastic in learning because they know that they are not the only ones who want to progress, but their parents also have the desire. the same one. So that the learning outcomes or learning achievements achieved by students are better.
Does proximity matter? The effect of financial sector development on economic growth in the EAC and SADC regional blocs

This study examines the finance-growth nexus among countries in the Southern African Development Community and East Africa Community regional blocs. We aim to see if small economies can rely on expansionary monetary policies to stimulate economic growth given the illusive nature of such policies. The panel error correction model is applied to analyze the aggregated data, which were obtained from the World Development Indicators and the Comité Européen d'Etudes des Polyphosphates. The results indicate that proximity to trading giants jeopardizes the freedom to use monetary expansionary policies among relatively small countries. If such policies are adopted, it will be a significant impact on countries located in regions where trading powers are evenly distributed.
METODE SOROGAN DALAM MENINGKATKAN MINAT DAN KETERAMPILAN MEMBACA KITAB KUNING SANTRI Al-AFIYAH BOGOR JAWA BARAT

The most common problem for students is the difficulty in understanding the yellow book they read. Therefore, how to increase interest and reading skills in students increasingly attract attention, especially for students of Al Afiyah Citeureup by using sorogan method. The author has analyzed some general reading skills and put forward some suggestions for further increase in interest for students, especially students al afiyah from personal experience as well as the experience of the general public who have studied pesantren from several interviews of ustadz, which can help improve the competence of reading students themselves with the practice of using sorogan methods.
Expert System For Failure Diagnosis Of Cvt 125/150 Led Motorcycle Using Website Based Forward Chaining Method

Abstract-Over time, many people who previously did not use automatic motorbikes turned to automatic motorbike users because the way they were used was very easy and different from other types of motorbikes. Behind the easy way of using it, there are many problems that arise in automatic motor components, especially on the CVT. Not everyone understands the problem with the CVT. Some users prefer to take their motorbikes to both official and non-official workshops. So the development of an expert system, is a computer science that works like an expert. Forward Chaining method, a forward search method that begins with a fact will later produce a conclusion. The results show that an expert system for diagnosing automatic motorcycle damage using the forward chaining method helps users anticipate damage so that there will be no greater and sustainable damage.
Usage of personas in the construction industry

<ns3:p><ns3:bold>Background:</ns3:bold> This study on the use of personas was carried out during a building trade related software development EU project. Participants were introduced to the personas tool and encouraged to use it in their work in technical development.</ns3:p><ns3:p> <ns3:bold>Methods:</ns3:bold> A questionnaire was delivered three months after presentation and explanation of the remote tool, inquiring about benefits, drawbacks, intention of using personas in the future, and the role of usage related information as a whole in technical development.</ns3:p><ns3:p> <ns3:bold>Results:</ns3:bold> Previous knowledge about the tool, perceptions of the tool and its actual use seemed to influence developers in their decision to use it or not.</ns3:p><ns3:p> <ns3:bold>Conclusions:</ns3:bold> Almost half of the organizations in our study use real user-centric design methods in their technical development; this can ease the path for wider adoption of the methods when needed. One possible solution to strengthen the understanding and adoption of the user-centric methods is to spread information among technical developers, by identifying and using efficient communication channels, such as tailored training. User-centric methods seem to have gained followers in the technical development arena, indicating that this may be a feasible way for further adoption of user centricity in product development.</ns3:p>
APIs With GraphQL

Tanmai Gopal, CEO of Hasura.io, discusses GraphQL in this episode with SE Radio host Jeff Doolittle.
PENERAPAN APLIKASI SISTEM INFORMASI PENERIMAAN TUNJANGAN PROFESI GURU PADA KANTOR WILAYAH KEMENTERIAN AGAMA PROVINSI NUSA TENGGARA TIMUR

Computer applications have a very important role in life in today's modern society. Technology that develops according to the demands of the times is expected to be a supporting tool to deal with problems that arise in managing and solving problems that exist in the company or organization. Likewise, the Regional Office of the Ministry of Religion of the Province of East Nusa Tenggara, especially in the section on Islamic Religious Education, is expected to provide precise and accurate information in processing the data for teachers receiving certification. This application is designed in such a way as to make it easier to process data on receiving teacher certification allowances at the Regional Office of the Ministry of Religion in East Nusa Tenggara Province to be faster, more precise, and efficient. This application is dynamic, meaning that the information provided can change at any time based on the current situation. The results of the application of the Application for Accepting Professional Allowances (Certification Allowances) for Teachers are to assist the office so that the process of collecting data on teachers receiving certification allowances can be easily, quickly, and efficiently.
Casual chatter or speaking up? Adjusting articulatory effort in generation of speech and animation for conversational characters

Embodied conversational agents and social robots need to be able to generate spontaneous behavior in order to be believable in social interactions. We present a system that can generate spontaneous speech with supporting lip movements. The conversational TTS voice is trained on a podcast corpus that has been prosodically tagged (f0, speaking rate and energy) and transcribed (including tokens for breathing, fillers and laughter). We introduce a speech animation algorithm where articulatory effort can be adjusted. The speech animation is driven by time-stamped phonemes obtained from the internal alignment attention map of the TTS system, and we use prominence estimates from the synthesised speech waveform to modulate the lip- and jaw movements accordingly.
Влияние длины искусственного надреза в композиционном материале на величины индикаторов повреждаемости

Novel experimental method, which provides visualization of interference fringe patterns caused by inserting of artificial notch of prefixed length in composite material, is developed. Deformation response to local material removing is measured by electronic speckle-pattern interferometry. Interferogram interpretation in terms of in-plane displacement components produces determination of two deformation parameters. These parameters represent current damage indicators, which are essential for quantitative description of damage accumulation inherent in fatigue loading of specimens with stress concentrators. Both damage indicators are derived on a base of direct physical measurements by fringe order counting. Analysis of uncertainties in damage indicators determination, which are connected with incorrect prescribing of artificial notch length, is presented.
Students’ Perception on The Use of Zoom Application in English Language Learning at SMA Muhammadiyah 3 Palembang

This study entitled Students’ Perceptions on the Use of Zoom Application in English Language Learning at SMA Muhammadiyah 3 Palembang. The main problem of this study was students’ Perception on the Use of Zoom Application in English Language Learning at SMA Muhammadiyah 3 Palembang. The objective of this study was to find out the students’ Perception on the Use of Zoom Application in English Language Learning. The subject of this study were thirty-three students of SMA Muhammadiyah 3 Palembang. This study used aqualitativemethod. The instruments in collecting the data was questionnaire.Based on the students answer from questionnaire, theresearchers concluded that most of students had negative perception about using Zoomapplication in learning English. The students also hasa perceptionthat zoom application was not to effective media to help the students in learning English.&#x0D; Keywords: Students’ Perception, Zoom Application, English Learning.
FPGA Based Resource Efficient Simulation and Emulation Of Grover’s Search Algorithm

The introduction of quantum computing has led to an immense increase in performance of various search and encryption algorithms. However the practical realization of quantum computers is <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> a challenging task. Hence quantum algorithms are being modeled on classical platforms. Hardware emulation of quantum computers has been found to be more effective than software simulations. In this paper, Grover's search algorithm has been modeled in the classical platform using both hardware emulation and software simulation approaches. The modified architecture of the field programmable gate arrays (FPGAs) and the unique data path implemented in this paper results in considerable speed-up and lesser utilization of resources as compared to other existing works. This work includes both simulation and emulation of Grover’s search for 2,3 and 5 qubit systems. The novel emulation approach has led to a 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</sup> times reduction in time of search than the corresponding simulation.
Profile of Applicants Who Did Not Use the ALEKS Smart Tutor to Prepare for the Entrance Exam to the Technological University of Panama in 2018

This paper presents the results of the analysis of the characteristics of the population of students who did not use the ALEKS intelligent tutoring system (ITS) before taking the PAA test to enter the Technological University of Panama in 2018. The population is described (N=9692) in terms of sociodemographic factors (sex, type of school, family income, province) and academic factors (High School Average, Average obtained in the PAA-mathematics test). Through the statistics, a profile is created of what we could classify as the average student who does not use the ALEKS platform. In addition, it is generally determined that there is a low but positive correlation between the average final score obtained at secondary school and what is obtained in the PAA test. The importance of this work is that a population not studied throughout the project is addressed and some ideas are left on how to monitor the university trajectory. In addition, it sheds light on the problem of low levels of mathematical sufficiency that applicants who aspire to enter the UTP have.
Machine Translation Technology Based on Natural Language Processing

The development of machine translation technology closely follows that of information science. It is a breakthrough in natural language processing and a big step forward in the field of artificial intelligence. The purpose of this paper is to study the application of machine translation technology based on natural language processing. This paper introduces the relationship between natural language processing and machine translation technology, expounds the research importance of machine translation technology in natural language processing and the research status at home and abroad. The application of neural network in natural language processing machine translation system is introduced. At the same time, for the existing machine translation system, a neural network machine translation system based on reinforcement learning is proposed. And analyze the machine translation of different models through case studies. Finally, the Python software is used to implement the program, and the accuracy of the Transformer-PG-NMT model is obtained.
Crypto Assets: A New Way of Diversifying Your Investments

International investments have gained momentum since the start of this century. Many investors in the developed economies invest in the growing economies to seek prospects of higher returns. This has become evident in the last two decades, especially after the financial crisis of 2008, when investors were forced to think outside of the box in order to get proper returns for their investments. Investing has become even more challenging when investors are faced with low and even negative yields, especially in the investments on short and medium term. This is where crypto assets come in the picture. Namely, with the appearance of the blockchain technology and all of the new opportunities it brings, crypto assets appeared as a new way for investors to diversify their investments and get higher returns. Though they bring additional choices to investors, they can also be very tricky and should be taken into consideration when investing with high cautiousness, simply because the technology they are based on is relatively new and not very much regulated, thus they bring higher risk than the traditional assets and fiat currencies that are already available. Having that in mind, this paper goes over the pricing, volatility and correlation of crypto assets with other currencies. Additionally, we look at the way they are regulated so far, how accessible is the market for them and their behavior vs the traditional fiat currencies. Lastly, we come to the conclusion that crypto assets, though being more volatile and riskier than fiat currencies, do in fact bring additional return to an investor’s portfolio and should be used carefully according to the individual risk and return preferences. There is still a lot to be examined and researched about crypto assets so that they can be better utilized in the future by investors.
The Role of Knowledge Sharing in Managing Absorptive Capacity and Innovation Moderation Entrepreneurial Leadership in Small Medium Enterprises

Nowadays, Small Medium Enterprises (SMEs) are facing very tough challenges in the digital era and experiencing a massive change to confront fast-paced environment.The actual facts point out that the ability to manifest innovations on SMEs is still relatively low due to limited resources.Therefore, SMEs need to come up with solutions to enhance innovation capabilities by implementing knowledge management.The aims of this study were to analyze the role of knowledge sharing in managing absorptive capacity and innovation moderation entrepreneurial leadership.The study employed a questionnaire distributed to 108 middle management employees export-oriented SMEs.The results of this study indicated that knowledge sharing have an essential impact on managing absorptive capacity and innovation.Absorptive capacity significantly influenced innovation.Entrepreneurial leadership strengthen the effect of knowledge sharing and absorptive capacity towards innovation.The mediation test indicated that absorptive capacity partially mediated the effect of knowledge sharing toward innovation.The study enriches literature of knowledge management, leadership and related factors on supporting innovation, specifically in SMEs.
Valuation and Analysis of Online Teaching Platforms in Post-pandemic Era

Based on the “Internet + education” concept of the deep integration of information technology and subject education, online flipped classes, MOOC classes and other information-based teaching came into being. This has driven the rapid development of a series of educational APPs and online teaching platforms. However, there are no perfect evaluation systems or evaluation methods to select the online teaching platforms. In view of this, from the perspective of students, this paper mainly extracted four primary indexes and nine secondary indexes by analyzing 1000 students’ survey questionnaires. Considering the similar functions of many platforms and each having its own emphasis, and students of different disciplines preferring the different convenient factors, we used the fuzzy comprehensive evaluation method to transform students’ qualitative evaluation into quantitative evaluation and designed a scientific and reasonable evaluation system for online platforms. Furthermore, we also filtered out the appropriate online platforms which are preferred by learners of different disciplines. That is, the liberal students prefer the platform of real-time interactive learning and live broadcast, while science students pay more attention to the platform with strong resource and strong feedback, and engineering students are more inclined to the platform with high convenience for teachers and students to share resources. To better carry out online-offline teaching activities in the future, we finally put forward some targeted suggestions according to the data analysis of each platform, so as to realize the intercommunication and sharing of high-quality resources.
RANCANG BANGUN APLIKASI AUGMENTED REALITY MEDIA PEMBELAJARAN PENGENALAN MACAM-MACAM BOLA PADA ANAK USIA DINI

Learning activities for the introduction of various balls are currently still using book media. However, book media has a reading mandate that is still relatively lacking due to the objects displayed in books that are not as real and have less impact on children at an early age. Augmented Reality integrates the virtual world with the natural world built by humans on a computer system. The method chosen in this study is to apply the prototype method. This method was chosen because it has the advantage of realising user needs easier. Testing the functionality of this application is selected by the black box testing method. Using this black box test method, all the functions in the AR Bola application can work as they should. In addition to the black box method, the System Usability Scale (SUS) test method was also carried out. The test results using the SUS questionnaire obtained an average score of 83. This was included in the "Excellent" Adjective Ratings with Grade Scale "B", indicating that the application was good enough for use.
Conclusion

Smart cities require much more than smart tech. Cities need trusted governance and engaged citizens. Integrating surveillance, AI, automation, and smart tech within basic infrastructure, as well as public and private services and spaces, raises a complex set of ethical, economic, political, social, and technological questions that requires systematic study and careful deliberation. Throughout this book, authors have asked contextual research questions and explored compelling but often distinct answers guided by the shared structure of the GKC framework. The Conclusion discusses some of the key themes across chapters in this volume, considering lessons learned and implications for future research.
Reinventing Cybersecurity Internships During the COVID-19 Pandemic

The Cybersecurity Ambassador Program provides professional skills training for emerging cybersecurity professionals remotely. The goal is to reach out to underrepresented populations who may use Federal Work-Study (FWS) or grant sponsored internships to participate. Cybersecurity Ambassadors (CAs) develop skills that will serve them well as cybersecurity workers prepared to do research, lead multidisciplinary, technical teams, and educate stakeholders and community members. CAP also reinforces leadership skills so that the next generation of cybersecurity professionals becomes a sustainable source of management talent for the program and profession. The remote curriculum innovatively builds non-technical professional skills (communications, teamwork, leadership) for cybersecurity research through student-led applied research and creating community-focused workshops. These student-produced workshops are in phishing, identity and privacy cyber safety, social media safety, and everyday home cyber safety. The CAs tailor the program to a particularly vulnerable population such as older adults, students, veterans, or similar people that make up most workshop participants. At this time, the data shows that this pedagogical approach to curriculum development, grounded in the Ground Truth Expertise Development Model (GTEDM), is a unique methodology. This curriculum teaches cybersecurity interns with key non-technical but critical KSAs for cybersecurity professional development has proved to be a factor in accelerated hiring for program participants.
Fall Detection Inside An Autonomous Driving Bus: - Examination of Image Processing Algorithms-

Autonomous buses are expected to address traffic and social issues. Safety of passengers is an extremely critical issue which needs be considered when implementing autonomous driving services. Passengers can fall when travelling on the bus especially in situations such as sudden braking etc. This is a very dangerous situation which needs to be handled immediately especially in the case of elderly people who are more prone to injuries. To manage such situations, an autonomous bus without a driver requires a remote supervisor who is responsible for monitoring the cabins of multiple buses through cameras. In this paper, we discuss a method for detecting falls inside the bus by using image processing technology, which assists the remote supervisor. During the experiment, 90% accuracy was achieved in detecting falls inside the bus, and we discussed a method to detect falls with robustness in implementation in the actual scenario.