Reviewerly/exHarmony huggingface dataset:
The Degree of Study of Numerals by Scientists in the World

Numerals are used in a variety of tasks, both in science and in everyday life. Using numbers, we record the results of calculations (twenty, forty years), determine the order between the elements of the plural (the first speaker, the millionth person to live), and express the results of the measurement of something (a mile and a half). In addition, numeric characters can be used instead of words, letters, for example, to encode text. Chinese culture is recognized as one of the oldest written cultures. Yu. M. Lotman considers writing to be one of the forms of memory. In this sense, history can be interpreted as an “additional consequence of the emergence of writing”. “While written culture is about the past, oral culture is about the future. That's why predictions, divination and predictions played a big role in it. "According to the scientist, “the world of verbal memory is full of symbols”, the material is included in the list of objects and is included in the text of ceremonies, not in the text consisting of words. In the written culture, however, the situation is different. Such a culture "seeks to see the Text created by God or Nature, to read the message expressed in it." Numbers play an important role in this "reading of the world-text" by the Chinese. According to А. Karapetyants's Great Dictionary of the Chinese Language (中文大辞典 zhōngwén dà cídiǎn 1962-1968), there are 13,296 dictionary articles beginning with numbers.
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Penerapan Navmesh Dengan Algoritma A Star Pathfinding Pada Game Edukasi 3d Go Green

Cleanliness is one of the requirements to create a healthy living environment. But in reality, not everyone have a concern for environmental hygiene and health. For this reason, learning about the importance of caring for environmental cleanliness must be instilled early on. One interesting method to provide learning about environmental cleanliness can be through games. With the 3D visualization of this environmental cleanliness game, it is an effort to raise awareness of the importance of environmental hygiene and health in the community. The location used in making this game is Campus 1 Poltekkes Surakarta. The purpose of this study is implementation of Navmesh with the A Star (A*) Pathfinding Algorithm on the characters so that players can find the trash location point and the location point of the tree with the shortest route. Making this game uses the GDLC (Game Development Life Cycle) method with stages of Initiation, Pre Production, Production, Testing, Beta and Release. This game can be played on desktop and mobile devices. The results of the research that has been done are seen from the algorithm simulation testing is the nodes that are passed by as many as 50 nodes, where there are duplicate data as many as 7 nodes due to real time systems that read nodes over and over. Thus, the application accuracy rate reaches 86%.Keywords: Educational Games, A * Pathfinding, Navmesh
IMPLEMENTATION OF THE CHAINING FORWARD METHOD INTO EXPERT SYSTEM TO DETERMINE THE CHILDBIRTH PROCESS FOR PREGNANT WOMAN

One of the factors that influence the high maternal mortality rate is the lack of knowledge of pregnant women about the choice of labor. Even though each labor selection has an indication of each that must be consulted with experts, before finally choosing the delivery. For this reason, in order to facilitate and assist pregnant women in knowing the initial diagnosis of labor, there must be a system that can help process the expertise of a labor specialist. The development of this research uses the forward chaining method with the waterfall method as the research model. The development of this system uses the PHP programming language and MySQL database. Based on a questionnaire that was completed by 2 respondents showed the results that the expert system as a determinant of the birth process for pregnant women received a positive response of 95% so it can be concluded that this system works well so that it is feasible to apply.
Dampak Pandemi terhadap Pemanfaatan e-Learning pada Sekolah Dasar di Den Haag

This study aims to find out how the impact of E-learning in Indonesian schools in the Dutch Hague due to Covid-19. This research uses descriptive qualitative method. Data collection techniques obtained through observation, interviews and documentation study. Data analysis techniques using data reduction, preparation, grouping, and data checking activities. The results showed that the current covid-19 virus also had an impact on E-learning in schools at the Indonesian School The Hague (SIDH), and the effectiveness of online E-learning was also supported by learning using the internet network with accessibility, connectivity, flexibility, and the ability to bring up learning interactions that are usually done through firtual with zoom, Google Classroom and other applications that are tailored to existing policies in SIDH schools.
Music and Sound in Virtual/Augmented Realities—Questions, Challenges and Approaches

The mid-to-late 2010s saw a renewed interest in virtual reality technologies with the release of a wide selection of consumer VR headsets and glasses, and the increased power of smartphones to provide augmented reality experiences. While research on sound and music in these technologies has started to gather pace, practice and research continue to grapple with significant creative and practical questions. In addition, such discussions have tended to be limited within disciplinary or professional silos. The roundtable presented here was an effort to begin conversations across a variety of fields of research and practice. We shared perspectives and exchanged views informed by different disciplinary traditions and experiences. We also sought to identify key questions and issues regarding music and sound in VR/AR. Three main themes are presented here: 1) Spaces and musical performances, 2) Realities and realism, and 3) Movement, orientation, and disorientation.
Model And Algorithm Super Resolution For Increase Effectively Digital Antenna Array

The focus of this research paper is to model super resolution algorithm based system for enhanced digital antenna array propagation. In most of these areas, a large effort has been made by researchers and system manufacturers to develop sensors and transmission components that enable super-resolution digital antenna array. However, resolution is inherently limited. The resolution of a digital signal transmission based system characterizes the level of spatial detail at which it captures signals and – besides the contrast resolution – it is considered as a major quality indicator. This is obvious in digital signal transmission, where the super resolution algorithm is directly related to the acquisition of fine textures in a scene. In remote sensing as another prominent example, one is interested in measuring information on a planet surface over long distances, which requires super-resolution algorithm. The focus of this research lies in computational techniques that consider the pixel pitch as the limiting property for digital antenna array. Super resolution method has the objective to reconstruct digital array at finer array sampling from one or an entire sequence of under-sampled array and have been widely investigated in signal processing. This improvement of the array sampling is due to redundancies or complementary information encoded in low-resolution arrays. As the primary goal in this area lies in an enhancement of the digital array sampling, we use the super resolution technique. The research introduces novel multi-channel super-resolution algorithms that are applicable to various digital antenna array setups. The multi-channel super resolution algorithm exploits the existence of a set of modalities in contrast to conventional methods that consider only a single one with an outstanding accuracy of 96.89% for classification of all digital antenna arrays at the clock speed of 100 MHz with the size of each processing element is 108 microns on python platform.
PROPOSAL FOR SPATIAL AND TEMPORAL COMPARISON IN THE ALGORITHMS FOR 3D RECONSTRUCTION

In the computer reconstruction of objects in three dimensions (3D) there are two problems to solve. The first problem concerns reducing the memory space occupied by a 3D object. The second problem is to reduce the execution time to digitally display the reconstruction.
ANALISIS KETERAMPILAN MENULIS CATATAN HARIAN KELAS V SD NEGERI 003 PANGKALAN KERINCI KABUPATEN PELALAWAN

This research was a descriptive quantitative research. The purpose of this research was to determine the diary writing skills of the fifth grade students of SDN 003 Pangkalan Kerinci. The data collection technique was a writing test. The validity of the research had been validated by expert. The samples in this study were 114 students consisting of 3 classes namely VA, VB, and VC students of SDN 003 Pangkalan Kerinci. The results showed that the average indicator of language use on the first day was 58.33 in moderate category, on the second day that was 58.55 in moderate category, on the third day it was 57.23 in moderate category, on the day fourth was 57.67 in moderate category, on the fifth day that was 58.11 in moderate category, on the sixth day was 57.89 in moderate category, and on the seventh day that was 60.96. The average of the systematic indicators of writing on the first day was 91.00 in a very good category, the second day was 90.57 in a very good category, on the third day was 90.78 in a very good category, on the fourth day was 91.00 in very good category, on the fifth day was 90.57 in a very good category, on the sixth day was 91.00 in a very good category, and on the seventh day was 91.89 in a very good category. The average indicator on the clarity of the first day was 76.31 in a good category, on the second day 75 with a good category, on the third day was 75 in a good category, on the fourth day was 74.12 in a good category, on the fifth day 73.06 in a good category, on the sixth day was 75.43 in a good category, and on the seventh day was 74.34 in a good category. This showed that the diary writing skills of students at SDN 003 Pangkalan Kerinci students were in good level.
ANALISIS KEBUTUHAN MATERI PEMBELAJARAN PADA MATAKULIAH “LE FRANÇAIS DU TOURISME”

(Title: Needs Analysis of Learning Language and Nonlanguage in Course Subject of Tourism). Educational programs are always designed to achieve a profile of outcome that is formulated based on the needs in accordance with the employment demands and scientific vision. This paper is about a research that aims to 1) identify students' French language competencies, 2) identify the need for tourism French language knowledge and skills, and 3) identify non-language knowledge needs that support students' competence in using French for tourism. This research was conducted at the FBS UNY campus. Data of this descriptive research was obtained by using the observation sheet for the data source from the video recordings. The research subjects are French Language Education students who have taken the Francais du Tourisme (FdT) course. The results showed that 1) students' communicative competence in French is on the B1 level, 2) The need for French language skills and tourism knowledge is an increase in communicative and linguistic competencies 3) The need for non-linguistic knowledge is about the history of Indonesia, the nation and state of Indonesia , as well as culture including customs.Keywords: need assessment, communicative competence, language competence, Français du Tourisme
Adversarial Encoder-Multi-Task-Decoder for Multi-Stage Processes

In multi-stage processes, decisions occur in an ordered sequence of stages. Early stages usually have more observations with general information (easier/cheaper to collect), while later stages have fewer observations but more specific data. This situation can be represented as a dual funnel structure, in which the sample size decreases from one stage to the other while the information available about each instance increases. Training classifiers in this scenario is challenging since information in the early stages may not contain distinct patterns to learn (underfitting). In contrast, the small sample size in later stages can cause overfitting. We address both cases by introducing a framework that combines adversarial autoencoders (AAE), multitask learning (MTL), and multi-label semi-supervised learning (MLSSL). We improve the decoder of the AAE with MTL so it can jointly reconstruct the original input and use feature nets to predict the features for the next stages. We also introduce a sequence constraint in the output of an MLSSL classifier to guarantee the sequential pattern in the predictions. Using different domains (selection process, medical diagnosis), we show that our approach outperforms other state-of-the-art methods.
AI and Humanity. <i>Nourbakhsh, Illah Reza and Jennifer Keating</i>

AI and Humanity identifies a pressing problem in higher education today. Artificial Intelligence (AI) is becoming an increasingly powerful presence in all departments of life. Governments have responded by promoting STEM education as a means to equip students with the skills desired by an increasingly AI-dominated jobs market. This response is inadequate, argue Nourbakhsh and Keating (pp. 103–06). AI is not just a job skill: it is a technology that is transforming society. Students should be trained to be critical as well as practical, to understand how AI might affect their lives as well as their CV. Governments’ focus on STEM education is doubly unhelpful. It suggests that STEM subjects are skills-based and uncritical, and it suggests that the Humanities and Social Sciences are waffly and impractical. As Nourbakhsh and Keating quite rightly point out, we seem once again to be in the world of C. P. Snow’s ‘Two Cultures’...
أثر کثافة المثیرات البصریة الرمزیة فی الألعاب الألکترونیة فى تنمیة مهارات التعبیر باللغة الإنجلیزیة لدى تلامیذ المرحلة الأبتدائیة

يهدف البحث الحالي إلى تقصي أثر کثافة المثيرات البصرية الرمزية في الألعاب الإلکترونية في تنمية مهارات التعبير باللغة الإنجليزية لدى تلاميذ المرحلة الابتدائية، ولتحقيق هذا الهدف تم تصميم لعبة ألغاز الکترونية لعلامات الترقيم التي تدرس بمادة اللغة الإنجليزية للصف الثالث الابتدائي. کما تم إعداد أداة البحث، والتي تمثلت في اختبار مفردات اللغة الإنجليزية من إعداد الباحثة. وتکونت عينة البحث من (24) تلميذا، وتم تقسيمها بشکل عشوائي إلى مجموعتين تجريبيتين، مجموعة مکونة من (12) تلميذا يدرسون باستخدام کثافة المثيرات البصرية المنخفضة من خلال العاب الألغاز الإلکترونية ،وآخري مکونة من(12) تلميذا يدرسون باستخدام کثافة المثيرات البصرية المرتفعة من خلال العاب الألغاز الإلکترونية ، ثم تم إعداد اختبارين قبلي، وبعدي ، وتوصلت النتائج إلى وجود فروق ذات دلالة إحصائية عند مستوى (0,05)  بين متوسط درجات أفراد المجموعة التجريبية الأولي ذات الکثافة المنخفضة في التحصيل لصالح القياس البعدي، ووجود فروق ذات دلالة إحصائية عند مستوى (0,05) بين متوسط درجات القياس القبلي والقياس البعدي لصالح القياس البعدي.The current research aims to investigate the effect of the density of symbolic visual stimuli in electronic Games in Developing the Primary Stage of Pupils' English Writing Composition Skills; and to achieve this goal, an electronic puzzle game for punctuation marks that is taught in English language for the third grade of primary school was designed. The search tool was prepared, which consisted of an English language vocabulary test prepared by the researcher. The research sample consisted of (24) students, divided randomly into two experimental groups, one group consisting of (12) students using low intensity visual stimuli through electronic puzzle games, another group consisting of (12) students using high density of visual stimuli through electronic puzzle games, then tow tests were prepared: pre, and post for the two groups. The results showed differences between the average scores of the experimental groups in the post-measurement of the achievement test, for the benefit of the experimental group, The results found that there were statistically significant differences at the level of (0.05) between the average scores of the members of the initial experimental group with low achievement intensity in favor of the post measurement, and the presence of statistically significant differences at the level of (0.05) between the average scores of the pre-measurement and the post-measurement In favor of telemetry.
Literature Review of the Impact of Multicurrency Regime On Financial Reporting

The research sought to examine literature on the impact of Multicurrency regime on financial reporting. The research findings showed that, during the Multicurrency regime firms saw financial reporting becoming a challenge due to shifts in government policies which preclude them from reporting in accordance with prescribed standards such as IAS 21, failure to attract skilled staff with foreign currency exposure experience as well as failure to acquire multicurrency system tailored software. The research findings further established the best industry practises that firms can use, in case redollarization occurs in future. The study recommends firms to establish seminars and training programmes for the workforce carry out multicurrency diversification to hedge risks, make use of multicurrency programs to track exposure, consult regulatory boards and foreign currency specialists, and approach the government to work hand in hand when making monetary policies.
SDG Financing Options in Rwanda: A Post-Pandemic Assessment

This paper uses a novel macroeconomic framework to identify policy and financing options to help Rwanda achieve its sustainable development goals (SDGs). Under current policies, Rwanda would meet its SDGs right after 2050. Active policies that combine fiscal reforms and higher private sector participation could fulfill more than one third of Rwanda’s post-pandemic SDG financing gap, enabling the country to meet its SDG targets by 2040. For Rwanda to meet its SDGs by 2030, active policies would need to be complemented with about 13¾ percentage points of GDP in additional resources annually until then.
Management Intellectual Capital and its Role in Achieving Competitive Advantages at Jordanian Private Universities

This study aimed to identify the role of intellectual capital (human capital, structural capital, and relational capital) in achieving competitive advantage (quality of education, flexible and responsive, and innovation) at Al-Ahliyya Amman University, to achieve these goals, the researcher used the descriptive and analytical approach. The study tool in collecting information and data was a questionnaire distributed to all the university's employees, who numbered (630) individuals. The data, the study questions and hypotheses were analyzed through the Statistical Package for Social Sciences (SPSS). The study concluded some results, the most important is: The structural capital and its components (combined) have a statistically significant effect on achieving competitive advantage. The researcher recommends the necessity of dealing with intellectual capital as a major and strategic resource for the university and considering it the real wealth that guarantees universities the ability to adapt to achieve a competitive advantage in them.
Rancang Bangun Sistem Pendukung Keputusan Penentuan Siswa Terbaik Dengan Metode Simple Additive Weighting (SAW) Berbasis Website (Studi Kasus : SMP Santo Tarcisius Dumai)

Initially, based on calculations, SMP Santo Tarcisius was still manual and subjective, still using excel calculations. Various comments from parents and students appear about the validity of the value. The writer considers it necessary to measure accurately with the SAW (Simple Additive Weighting) method. The SAW method was chosen because it determines the weight value for each perfect criterion by ranking it to produce the best students. Some of the criteria that determine the best student include Attitude Value, Knowledge Value, Skill Value, and Achievement. The author communicates with the school, namely the principal and student admin that building a good system and the school is very accepting of the evidence of the questionnaire for the survey that this system can be used as an objective and accurate alternative. Evidenced by the test results in the form of black-box testing of system functionality is running accordingly and can make it easier for users to use the system that has been built. From the survey results, they can use this method for the next order and with this system, a good relationship between the school and students is especially accurate and valid. The school welcomes the system built by the author as an alternative to determining the best student.
조선 후기 주기적 울릉도 수토와 울릉도 인식 양상에 대한 연구

This study has so far sought to sum up cases of “Military mission toUlleungdo(Ulleungdo Suto, 鬱陵島 搜討)” and to grasp the perception ofUlleung Island in the late Joseon Dynasty through Ulleung Island's specialproducts, which were found in the data on “Military mission to Ulleungdo”.In the discovered and the estimated cases, it was suggested that up to 84 timesof missions were carried out from 1694 to 1894. Not only the royal family butalso the common people used unique and excellent Ulleung Island specialties intheir daily lives. The coastal people sailed to Ulleung Island every year to collecta full boat of Ulleungdo's specialties.As many ships on the coast of Hamgyeong-do, Gangwon-do, Gyeongsang-do,and Jeolla-do sailed to Ulleung-do, this Island became a living zone for these coastalpeople. Dokdo is in the visible space of Ulleungdo. Narrowly Dokdo belongsto the living zone of Ulleung Island and widely to that of the coast people.The further study is needed to explore the relationships among the costal area,Ulleungdo and Dokdo.
Real-time Autonomous Robot for Object Tracking using Vision System.

Researchers and robotic development groups have recently started paying special attention to autonomous mobile robot navigation in indoor environments using vision sensors. The required data is provided for robot navigation and object detection using a camera as a sensor. The aim of the project is to construct a mobile robot that has integrated vision system capability used by a webcam to locate, track and follow a moving object. To achieve this task, multiple image processing algorithms are implemented and processed in real-time. A mini-laptop was used for collecting the necessary data to be sent to a PIC microcontroller that turns the processes of data obtained to provide the robot's proper orientation. A vision system can be utilized in object recognition for robot control applications. The results demonstrate that the proposed mobile robot can be successfully operated through a webcam that detects the object and distinguishes a tennis ball based on its color and shape.
A STUDY ON EFFECT OF LATITUDE ON SOLAR RADIATION DURING DIFFERENT SEASONS IN INDIA

Solar energy is available at any part of the globe, but the amount made available differs with respect to geographical location, time and season. An accurate knowledge of solar radiation data at a particular geographical location has vital importance to harvest the maximum utilization of solar energy. The present study was conducted on average solar radiation received at 4 cities (Madurai, Okha, Delhi, and Srinagar) of India with different latitudes in a year for different seasons. Results confirm that the latitudes 22°N to 30°N receives maximum solar radiation. Delhi (28.7041°N) and Okha (22.4649°N) have the highest radiant energy than Madurai (9.9414°N) and Srinagar (34.0837°N). Moreover Okha, since on coastal area, experiences higher radiation in post monsoon period.