Reviewerly/exHarmony huggingface dataset:
Towards a Novel Congestion Notification Algorithm for a Software-Defined Data Center Networks

Nowadays, besides the evident benefits of Data Centers (DC) in terms of information storage and processing, that posed also a few problems needed to be addressed. The computer network research community has been dedicated to resolve one of the severe problems of Data Center Networks (DCN): the congestion notification problem. The quality of connection links is the decisive factor for the success of a DC in providing higher bandwidth and low interconnection latency for high performance cluster computing. Therefore, the congestion detection and reaction mechanisms are vital to the performance of a DC. There are divers congestion notification algorithms, such as Backward Congestion Notification (BCN), Quantized Congestion Notification (QCN), Forward Explicit Congestion Notification (FECN,) and E-FECN. However, the common disadvantages of those algorithms is the lack of ability to predict congestion. In this paper, we propose an AI-based congestion notification algorithm in applying the Long short-term memory (LSTM) algorithm and its variants, such as GRU, Skip-LSTM, and Bi-Directional LSTM, into the original BCN algorithm, called IBCN, in order to increase the capacity of predicting link congestion of the original one. We also implement IBCN in a Software-defined DCN that is a combination of the DCN and the Software-defined Network (SDN) architecture. The obtained experimental results showed that the IBCN outperforms the original BCN at any network load levels (from 10% to 90%) with the average improvement of 50% of throughput. In addition, the proposed solution gives also better results than other traditional linear prediction algorithms.
Pengaruh kualitas website Kandaga terhadap kepuasan pengguna Perpustakaan Pusat Universitas Padjadjaran

Library websites in higher education institutions help increase competitiveness and reinforce institutions, information media, and library promotion. This study aimed to determine the effect of the quality of the Kandaga website partially and simultaneously on user satisfaction at the Padjadjaran University Central Library. This study used an explanatory quantitative approach by distributing questionnaires to 373 people. The analysis of research data used path analysis. Based on the research results, variables of usability quality, service interaction quality, interface quality, and digital library service quality partially had a significant effect on user satisfaction of the Padjadjaran University Central Library. The quality of the Kandaga website had a significant simultaneous effect on user satisfaction of the Central Library of Padjadjaran University by 87.4%. The quality of the digital library services had the most significant influence on user satisfaction, namely 52.6%. The Central Library o Padjadjaan University needed to prioritize digital library service quality improvements because this variable significantly influenced user satisfaction. The quality of the Kandaga website partially and simultaneously had a significant effect on user satisfaction of the Central Library. Information quality had no significant effect on user satisfaction of the Central Library of Padjadjaran University. Kandaga's information quality variable had the highest value. The study concludes that users of the Kandaga website believe that the quality of information on the Kandaga website currently has met user needs, has a good reputation, is trustworthy, relevant, detailed, and easy to understand.
Best G-Sync Monitor

With different advancement in motion pictures and games, screen tearing, screen stuttering, and motion blur is becoming a problem faced by many gamers ...
The Effects of Service Authenticity on Customer Confidence, Satisfaction and Loyalty: Focused on Restaurant

The purpose of this study was to examine the effect of service employees’ authenticity on customer confidence, satisfaction and loyalty in the restaurant.<BR> For the actual test of these hypotheses, surveys were conducted with a convenience sample of 278 participants who had experience in restaurants. Frequency, factor analysis, and AMOS analyzed data.<BR> As for the results, service authenticity was a major influence on customer confidence as well as customer confidence was a major determinant in satisfaction. Satisfaction was a major determinant influence on loyalty.<BR> Thus, restaurant managers need to make constant efforts to raise customer confidence, satisfaction, and loyalty in restaurants higher by providing the service employees’ authenticity.
PREPARATION OF FUTURE PRIMARY SCHOOL TEACHERS FOR THE FORMATION OF STUDENTS' SKILLS IN WORKING WITH A GRAPHIC EDITOR

The article analyses the state of modern research on professional training of future primary school teachers to form students' skills to work with a graphic editor. The study uses scientific methods of analysis, synthesis, and comparison to identify the state of modern research on this topic. The authors analyse the views of leading Ukrainian scientists and Ukrainian and foreign founding teachers on the professional training of future teachers. The study highlights the basic definitions of training and vocational training. The content of the concepts of training and professional training is specified. The graphic editor as a component of information and communication competence is described by the authors. Some peculiarities and differences of pupils’ and students’ usage of the graphic editor in primary school are mentioned in the article. The authors describe the main stages of studying the graphic editor by primary school students and analyse the works of outstanding scientists on the professional training of future primary school teachers for students to study the graphic editor. The main mistakes of teachers in studying the graphic editor by students are described, and the further prospects of studying the researched problem is determined. As a result, it is outlined that the works of domestic and foreign scientists are mainly focused on the history of the concepts but not on the disclosure of the main features of training. It is determined that the professional training of future teachers has been studied quite widely, but there are many aspects of training, in particular, the preparation of future teachers for the use of graphic editors by students has not been studied enough.&#x0D; Keywords: training, professional training, professional training of future teacher, professional skills, pedagogical activity, primary school, formation of skills, computer graphics, graphic editor.
Development of Smart Resource Flow Wireless Platform Standardized by Flexible Factory Partner Alliance

Flexible Factory Partner Alliance (FFPA) has defined the technical specifications for Smart Resource Flow (SRF) Wireless Platform which ensures stable communications in an environment where various wireless systems coexist. SRF Wireless Platform is based on the Smart Resource Flow approach proposed by National Institute of Information and Communications Technology (NICT), which is a multi-layer whole-system engineering approach to managing manufacturing resources to achieve optimal system performance. Authors have been taking part in FFPA activities and also have been doing research and development on wireless systems based on SRF Wireless Platform. In this paper, authors propose radio resource control technologies for SRF Wireless Platform. The results of evaluation tests clarify effectiveness of the technologies for practical use.
Ranking Methods for Multicriteria Decision-Making: Application to Benchmarking of Solvers and Problems

Evaluating the performance assessments of solvers (e.g., for computation programs), known as the solver benchmarking problem, has become a topic of intense study, and various approaches have been discussed in the literature. Such a variety of approaches exist because a benchmark problem is essentially a multicriteria problem. In particular, the appropriate multicriteria decision-making problem can correspond naturally to each benchmark problem and vice versa. In this study, to solve the solver benchmarking problem, we apply the ranking-theory method recently proposed for solving multicriteria decision-making problems. The benchmarking problem of differential evolution algorithms was considered for a case study to illustrate the ability of the proposed method. This problem was solved using ranking methods from different areas of origin. The comparisons revealed that the proposed method is competitive and can be successfully used to solve benchmarking problems and obtain relevant engineering decisions. This study can help practitioners and researchers use multicriteria decision-making approaches for benchmarking problems in different areas, particularly software benchmarking.
Type of e-resources for asynchronous online learning in pre-clinical year 2 during the COVID-19 pandemic

NA
KONFLIK SOSIAL DALAM NOVELET AL BAHRI PADA KUMPULAN NOVELET TIGA OMBAK KARYA GOLA GONG: TINJAUAN SOSIOLOGI KARYA SASTRA DAN IMPLIKASINYA TERHADAP PEMBELAJARAN DI SMA

This research discusses the social conflict in Al Bahri  novelet in the collection of novelets Tiga Ombak by Gola Gong by reviewing it according to the sociology of literature with qualitative research methods. The purpose of this study is to describe the social conflict in Al Bahri's novelette in the collection of novelets Tiga Ombak by Gola Gong and the implications of the research results on Indonesian language learning in high school. Based on the results of the study, it can be found that social conflicts in the novelet collection consist of social conflicts within individuals 51%, social conflicts between groups and individuals 24%, social conflicts between individuals and individuals 20%, and social conflicts between groups 5% and can be implied on Indonesian language learning in SMA class XII at KD 3.9 analyzes the content and language of the novel.
Ready, trainer horizontal ellipsis one*! discovering the entanglement of adaptive learning with virtual reality in industrial training: a case study

In response to the industrial world becoming more complex and the recent social distancing caused by the COVID-19 outbreak, emerging technologies such as Virtual Reality (VR) are gaining importance for industrial training. The novelty, however, does not lie in the sole use of VR-based technology but rather in its adaptive and flexible nature. This paper explores the synergy between VR environments and adaptive-based learning and tests the proposed approach in the railway sector. An iterative co-design approach is adopted to develop a VR-based training system for educating train conductors. The developed system is validated with ten conductors, where their learning preference, learning outcome, and learning performance were assessed. The results show an increase in individual motivation and perceived usefulness for the developed VR-based training system, demonstrating a higher learning preference, in comparison to the currently used physical simulator. Similarly, the results outline a knowledge gain in two out of six key knowledge subjects for conductor education and indicate that time improvements per exercise are needed to meet organizational performance goals. Consequently, this research presents an attractive alternative to costly and product-specific physical simulators and offers three strategic managerial implications opening new opportunities for using VR in developing learning training programmes.
Lingua e matematica: dialogo su un libro recente. A proposito di Educazione matematica, lingua, linguaggi. Costruire, condividere e comunicare matematica in classe di Pier Luigi Ferrari (Torino, UTET, 2021)

This paper represents a two-part dialogue between an expert on the didactics of mathematics and an expert on language teaching about the relationship between language and mathematics at school, in the light of the stimuli offered by the recent book of the mathematician Pier Luigi Ferrari, Educazione matematica, lingua, linguaggi. Costruire, condividere e comunicare matematica in classe.
Fuel Purchase System and Determination of Nearest Gas Station Locations Using the Haversine Method

According to the Indonesian Central Bureau of Statistics, annual vehicle growth reaches 6.49%, and from the data taken, for 2018 alone, total motorized vehicles reached 146,858,759. This figure has a very large effect on the percentage of fuel consumption. Large fuel consumption certainly has an impact on the purchasing process which can result in long queues at each gas station and an accumulation of buyers in one gas station, especially in Java and Sumatra, which account for 77% of the total motorized vehicles in Indonesia. One of the systems that has been implemented at gas stations is the self-service method. This method is still considered inefficient because buyers still have to queue at the standing console to do the transaction using the cash payment method. In the gas station search process, motorists still spend time looking for the nearest gas station. Therefore, a system was built in form of an application that could locate the nearest gas station using the haversine method, along with existing facilities at those particular gas stations and QR codes as a result of online fuel purchase transactions which resulted in more efficient fuel purchases. The test results show that the accuracy of the closest gas station distance is 86%, and the prediction of ordering the closest 5 gas stations compared to the actual order is 100%. These results indicate that the haversine method is quite accurate in determining the nearest gas station.
Multi-inhabitant and explainable Activity Recognition in Smart Homes

The sensor-based detection of Activities of Daily Living (ADLs) in smart home environments can be exploited to provide healthcare applications, like remotely monitoring fragile subjects living in their habitations. However, ADLs recognition methods have been mainly investigated with a focus on singleinhabitant scenarios. The major problem in multi-inhabitant settings is data association: assigning to each resident the environmental sensors' events that he/she triggered. Furthermore, Deep Learning (DL) solutions have been recently explored for ADLs recognition, with promising results. Nevertheless, the main drawbacks of these methods are their need for large amounts of training data, and their lack of interpretability. This paper summarizes some contributions of my Ph.D. research, in which we are designing explainable multi-inhabitant approaches for ADLs recognition. We have already investigated a hybrid knowledge- and data-driven solution that exploits the high-level context of each resident to perform data association. Currently, we are studying semi-supervised techniques to mitigate the data scarcity issue, and explainable Artificial Intelligence (XAI) methods to make DL classifiers for ADLs more transparent.
TEGA: Technology Enabled Girl Ambassadors understand the problems girls are facing today

Technology Enabled Girls Ambassadors (TEGA) is an innovative, participatory approach to youth participation created by the NGO Girl Effect. Girls use mobile devices to interview their peers and community members, collecting video, audio and survey data. In 2016, TEGA was mobilized to find out more about the lives of internally displaced girls and women in Nigeria, and in 2017 to collect information about girls and boys in Saginaw, Michigan, USA.
High Efficiency Quantum Image Steganography Protocol Based on ZZW Framework

This paper proposes an efficient quantum image steganography protocol based on Zhang Weiming, Zhang Xinpeng and Wang Shuozhong’s steganography framework (ZZW). Based on the high embedding efficiency of the classical ZZW steganography framework, the new protocol combined with the quantum carrier, not only greatly improves the embedding efficiency of the existing quantum image steganography protocols, but also has high security. In order to reflect the practicability of the new protocol, we also designed dedicated quantum circuits to embed and extract secret information. In addition, the simulation results based on Matlab also show that the new protocol not only has good imperceptibility, but also has very high embedding efficiency.
Analysis of the efficiency of using neural networks on the example of a multilayer perceptron and a Kohonen network

The article considers an artificial neural network — a multilayer perceptron, as well as the Kohonen network, as tools for visual image recognition. The work is devoted to the analysis of the main functional tasks that can be solved by our chosen neural networks, with maximum efficiency and expediency. We will also consider these neural networks as tools for primary analysis of visual images for further use both for scientific purposes and for their substantive implementation in business areas where neural networks are most applicable and will bring maximum effect to ordinary users. One of the most common algorithms for learning multilayer neural networks is the error backpropagation algorithm. This algorithm calculates the gradient surface gradient vector. Then we move by some value in the direction of the vector (it will show us the direction of the fastest descent), where the error value will be less. This consistent progress will gradually minimize the error. Here there are difficulties with definition of size on which it is necessary to advance. If the size of the step is relatively large, it will lead to the fastest descent, but there is a chance to "jump" the desired point or go in the wrong direction, if the surface has a fairly complex shape. For example, if the surface is a narrow ravine with steep slopes, the algorithm will move very slowly, jumping from one slope to another. If the step size is small, it will lead to finding the most optimal direction, but can significantly increase the number of iterations. To achieve the most optimal result, the step size is taken in proportion to the steepness of the slope with some constant - the speed of learning. The choice of this constant is made experimentally and depends on the conditions of a particular problem. Having conducted the work, it should be noted that the multilayer perceptron is successfully used to solve various problems, in particular as effectively as possible for the problem of pattern recognition.
The US District Court for the District of Columbia grants motions to dismiss two parallel antitrust complaints filed by the FTC and a group of state enforcers against a social media company for monopolization, with the FTC being allowed to file an amended complaint in 30 days (Facebook)

On June 28, 2021, Judge James E. Boasberg of the U.S. District Court for the District of Columbia granted Facebook's motions to dismiss two parallel antitrust complaints filed by the Federal Trade…
HUBUNGAN MOTIVASI DENGAN HASIL BELAJAR MATEMATIKA SISWA KELAS VIII SMPN 43 MERANGIN

This research is a correlation study with a quantitative approach. The data collection techniques used in this study were questionnaire techniques and documentation methods. The population and sample in this study were students of Class VIII SMP Negeri 43 Merangin. The data analysis technique used is the Normality Test, Linearity, and Hypothesis Test. Based on the results of the analysis with the product moment correlation, it shows that there is a relationship between learning motivation and learning outcomes in Mathematics for class VIII grade SMP Negeri 43 Merangin. This is indicated by the magnitude of the r count value is greater than the r table (0.6430> 0.413) and a significance value of 0.000 which means less than 0.05 (0.000 <0.05), so this study succeeded in proving the hypothesis which states that There is a positive relationship. and significant learning motivation with the learning outcomes of class VIII class of SMP Negeri 43 Merangin Mathematics, and the value of the coefficient of determination is calculated by the formula kd r2 x 100% so that learning motivation affects the learning outcomes of grade VIII students of SMP Negeri 43 Merangin by about 41.35%. And the rest is influenced by other factors.
Open Banking Innovation Model by Digital Transformations Based on Adaptive Neuro Fuzzy Inference System (ANFIS)

Given the emergence of digital transformation from Industry 4 and the rapid dissemination of technological innovations as well as their impact as a strong driving force in new banking businesses, efforts should be made to identify the dimensions of this core factor as rapidly as possible. Providing a comprehensive overview of all aspects of the model. The purpose of this article is to provide insights into the state of the art of digital transformation in the banking industry and suggest ways for future research. Existing literature, especially research for 2019 and 2020, has enhanced our understanding of the specific aspects of digital transformation in future banking, and we are now grasping a clearer picture of nature, how, and the consequences of these in the years ahead. However, all its dimensions are not yet clear. In this article, by review of 218 articles in the WOS database, and the analysis has utilized the data-driven tools,165 questionnaire and 90 specialized interviews with experts, extracted factors of the research, and using SMART PLS statistical software, ANFIS and MATLAB software for analysis. The paper, therefore, tends to understand Open Banking Innovation based on the digital transformation area and its dimensions in its previously known domains.
Students’ Perception and Engagement toward The Authentic Materials Use for Reading Comprehension

This qualitative study aims to know students’ engagement and perception in using authentic materials for reading. Using narrative inquiry approach, semi-structured interview and observation were conducted to know how students’ engage during the reading class with authentic materials and how students’ perceive after using authentic materials. The data of observation were gained in online setting classroom. The participants of this study consist of two participants from vocational high school. The gained data were interview result and video recorded from the observation. By using narrative analysis, this study gives the result that students’ engagement: behavioral engagement, emotional engagement, and cognitive engagement, is good or positive engagement. While students’ perception is also found that students give the positive perception toward the use of authentic materials. This study emphasize on the use of authentic materials which are related to students’ real life for language learning, especially reading.
Perception of Illusory Body Tilt Induced by Electrical Tendon Stimulation

In virtual reality (VR) experiences, discordance between visual and somatic sensation reduces a user’s immersive experience. To address this problem, we introduced somatic sensation using illusory force induced by tendon electrical stimulation (TES). The effect of TES applied to the tibialis anterior muscle tendon (TA) and Achilles’ tendon (AC) on force sensation and center of pressure (CoP) in standing position was investigated. Result suggests that application of TES to TA and AC induces force sensation to evoke body sway in the backward and forward direction respectively, while effects on CoP appear to be contradicted to our hypothesis. According to the descriptions of induced sensation of body tilt obtained from questionnaires, this technique is a promising way to present information of ground in VR.