Reviewerly/exHarmony huggingface dataset:
The Effect of Verbal Skills and Self-Placement on Students Acceptance of Community Service Program in East Towuti

The community service program is an activity for undergraduate students in several universities. This activity combines the implementation of education and learning in Higher Education with the method of providing learning experiences and working for students in community empowerment activities. Students who carry out fieldwork need language skills, and communicate well; besides that, self-placement in the community is also essential. This type of research is associative research using path analysis techniques (path analysis). The sampling technique with probability sampling, the samples into research was 30 respondents. Data collection in this study used a questionnaire. Based on the results of data analysis shows the correlation coefficient of verbal ability to self-placement is equal to 0.776 and has a positive value or an influence of 77.6%. The verbal ability correlation coefficient on the level of student acceptance is positively valued at 0.387 or has an effect of 38.7%. The value of the impact of selfplacement on the level of student acceptance is 0.348. Verbal ability and self-placement influence student acceptance rates of 0.691 or an effect of 69.1%. It can be concluded that verbal ability and self-placement affect the level of student acceptance
Visualization of the Multichannel Seismocardiogram

The multichannel seismocardiography (mchSCG) project aims to develop the technology and knowledge-base to understand the distribution of vibration waves on the chest wall caused by cardio-mechanic events.This study focuses on the developing visualization methods for the vibration waves based on the multi-dimensional map obtained with the mchSCG equipment.We investigated four visualization methods.Vibration signals were collected in a four by four grid with 16 three-axis accelerometers placed on the chest of 11 healthy males.The visualization methods were investigated for their abilities to show temporal, spatial, and directional information.Of the four methods the SCG chart shows best temporal and small amplitude sensitivity information.Color plots provides an improved spatial overview.Tracking maps provide good directionality.The seismic mesh method is good at showing spatial and directionality information.Dependent on which signal aspects are of interest, the four visualization methods have their specific suited purposes.These visualization methods can assist further investigation of the vibration waves behavior and its relation to cardio-mechanic events.
NOTAS SOBRE OS IMPACTOS DA PANDEMIA DO CORONAVÍRUS NO TRABALHO DOS/AS ASSISTENTES SOCIAIS

In the face of the global crisis of the New Corona Virus on the world, the work has undergone severe changes.In this context, we seek to analyze how the Pandemic has an impact on the work of Social Workers.For that, it was necessary to discuss the Concept of crisis and its social repercussions; analyze a labor crisis in capitalist society in the middle of the pandemic and think as the main repercussions for the work of social workers in socio-occupational spaces.This is a bibliographic research of the narrative and documentary type with a qualitative approach.We emphasize the importance of debates about the changes experienced in daily life that greatly impact users' living conditions and the work of these professionals.By conceiving the social function of these professionals as fundamental and understanding, no field of demands and possible answers, the daily life of this professional category, it was possible to systematically record their challenges and potential in this context.
A Cluster of FPAAs to Recognize Images Using Neural Networks

Analog computing has been recovering its relevance in the recent years. FPAAs are the equivalent to FPGAs but in the analog domain. The main drawback of FPAAs is their reduced integration capacity. In order to increase the amount of analog resources, in this paper a cluster of 40 FPAAs is proposed. As a use case, a 19-8-6-4 feedforward Neural Network has been implemented on such cluster. With the help of a DCT-based software framework, this NN is able to classify 28x28 MNIST images. Results show that the analog network is able to obtain almost the same results as the software baseline network.&lt;br&gt;
Preface

Seminar Nasional Fisika (SNF) 2019 Universitas Negeri Surabaya, Surabaya, Indonesia October 19, 2019 At the beginning of 2020, we would like to present an international proceeding that containing of the selected papers from the National Physics Seminar or Seminar Nasional Fisika (SNF 2019), entitled “Physics Innovations and Its Applications in the Industrial Revolution 4.0” that organized by the Physics Department of FMIPA Universitas Negeri Surabaya - Surabaya on Ocrober 19, 2019. This seminar is an annual important event to publish of research results in physics and learning. We are hoping that the event will become a foothold of thinking in welcoming of global developments. In addition, publications packaged in this seminar is will further strengthening existence and reputation of the physics department as an educational institution that excels in scientific publication at national and international levels. We hope the international proceeding will be able to encourage students, teachers, lecturers, practitioners, researchers, and higher education community in developing scientific research and publications to support the nation’s independence.
Silent Speech Phoneme Recognition with Facial EMG Data Using Deep Learning

In recent years, the use of AI assistants has been increasing. However, it is difficult to use AI assistants when outside or in quiet places. To solve this problem, the use of silent speech is considered to be effective. Most of the current research is focused on word-by-word recognition. And continuous silent speech recognition has not been achieved. To advance continuous silent speech recognition, we studied the recognition of Japanese vowels using deep learning. To collect bio-signals, we adopted a surface EMG that is easy to attach and detach sensors. As a result, we obtained an average accuracy of 75.5% with convolutional neural networks.
Leadership Style and Turnover Intention: The Moderating Role of Supervisor Trust

Turnover Intention is a big issue for organizations because it costs huge capital investment in human resources. In United Arab Emirates (UAE), the turnover is higher than all other gulf countries and above the world average. Most of previous studies focused on the private sector and few examined the turnover in public sector. The purpose of this study is to examine the effect of leadership style and trust in supervisor on the turnover intention. Data was collected from 101 respondents from public sector in UAE. The data will be analyzed using Smart Partial Least Square (PLS). The findings showed that leadership styles as well as transformational leadership and transactional leadership have negative effects on turnover intention. In addition, trust in supervisor has direct negative effect on turnover intention. Decision makers are recommended to implement the transformational leadership and to establish a trusting relationship with employees.
Experiment Regarding Magnetic Fields with Gravity

Abstract When gravity exists in magnetic fields, gravity interacts with these magnetic fields to generate electricity in the direction the Earth spins or in the opposite direction. The relationships between electricity, voltage, and time can be redefined by analyzing data for 0.1 seconds. The voltage can be recorded on the x-axis, and time can be recorded on the y-axis. The electric potential energy generated due to interactions between gravity and magnetic seas can explain the time-dependent or time-independent equations of the Schrödinger equation through the data analysis.
The Utilization of the Internet as Media Information and learning for Students in SMP Islam Athirah 1 Makassar

The use of the internet brings information resources closer to students so that they can easily access information from various sources. The purpose of this study is to analyze the information needs of students SMP Islam Athirah 1 Makassar on information sources available on the internet. The basis of this study used is a survey study that examines the role of the internet as a medium of information for students of SMP Islam Athirah 1 Makassar. Whereas the type of research is quantitative. The number of sample members for this study were 162 students, who came from Class VII = 77 students and Class VIII = 85 students by means of proportional stratified random sampling. The results of this study indicate the level of internet use of students at Makassar Islamic Middle School 1 in the category of frequent access both in terms of the type of information and facilities offered all based on respondents' needs for information related to science, information needs of students have different portions. But the tendency is more in need of information relating to science than the need for entertainment information. In seeking knowledge students prefer website facilities rather than choosing information facilities to exchange knowledge information in the form of e-mail.
A Novel Framework for Video Delivery to Handheld Devices using Cloud Environment

Handheld devices are responsible for most of the internet traffic nowadays. Video streaming services plays a vital role in internet traffic because of its increasing size and high definition. Even though the mobile devices are capable to store and process huge data, the limitations of resources (Power, Memory, Processing, etc.), are creating bottleneck during video delivery process. Mobile devices are heterogeneous in nature in terms of service provider, geo location, hardware and software configuration and many other aspects. It is very difficult to provide the expected service to those devices without any compensation. To maintain the trade-off among the user expectation, device configuration and service provision a novel framework is proposed here. The framework covers various aspects of streaming services like user experience, delivery and storage of the contents, consumption of power resources, network conditions etc.,. The novel framework was tested with the cloud environment, within our parametric boundary it provide smooth streaming services to the handheld devices.
Choosing a Global Architecture for Mobile Applications

Complex mobile applications require an appropriate global architecture. If used correctly, the high-level design patterns promoted by Apple and Google such as MVC, MVVM, and MVI/MVU may make an important contribution to the architecture, but they often require supplementary architectural concepts. General architectures such as Clean Architecture may come to the rescue but leave room for interpretation as to how they work best on iOS and Android. This paper gives an overview of the current situation and choices and a vision of using a mix-and-match approach with the following goals: provide an extendable approach suitable for small and large projects, use minimal integration into the platform, and sidestep traps and erroneous implementations.
THE ANALYSIS OF STUDENTS’ ABILITY IN WRITING SHORT STORIES

This researchis aimed to determine the students’ ability of Indonesian Education Study Program,Faculty of Teacher Training and Education, Galuh Ciamis University, in writing short stories. The students are still lack of studying the literary of short story, instead they tend to read the popular short stories. The method used in this research is descriptive method. The results of this study are as follows. First, to obtain the clear illustrationwhether the students are able to write literature short stories or popular short stories. Second, to position their short stories in the development of Indonesian short stories, especially among students. Keywords: analysis, writing short story, literary short stories, popular short stories
Rossby Waving for Violin, MUGIC® sensor, and video

Expanding Expression with MUGIC®After collaborating with the Sound Music Movement Interaction Team at IRCAM in Paris using IRCAM's "MO" (Modular Musical Objects) sensor, I created my own motion sensor system for performance prototype called "MUGIC®" in 2015.Starting in 2017, we developed a new MUGIC® prototype.In September 2020, I commercialized MUGIC®, with officially registered trademark.During the current Covid crises, university professors, students and artists outside our university are using MUGIC® to developing collaborative and creative projects using their instruments and hands.Our PhD students use MUGIC® in their thesis, performance and compositions through graduate seminars "Composing with Sensors", creating projects.Our current multidisciplinary, multi-location projects using MUGIC® include the collaboration between the faculty and students at UCI, University of Toronto, and
CORONA-A SCANDAL, A MEDIA PANDEMIC &amp; ???

According to data from the best-studied countries such as South Korea, Iceland and Germany as well as the cruise ship Diamond Princess, the overall lethality of Covid19 is in the per mille range and thus about ten times lower than initially assumed by the WHO.A study in Nature Medicine comes to a similar conclusion even for the Chinese city of Wuhan.The initially significantly higher values for Wuhan were obtained because a great many people with mild or no symptoms were not recorded.50% to 80% of test-positive individuals remain symptom-free.Even among the 70 to 79 year old persons about 60% remain symptom-free, many more show only mild symptoms.The median age of the deceased in most countries (including Italy) is over 80 years and only about 1% of the deceased had no serious previous illnesses.The age and risk profile of deaths thus essentially corresponds to normal mortality.Many media reports of young and healthy people dying from Covid19 have proven to be false upon closer inspection.Many of these people either did not die from Covid19 or they in fact had serious preconditions (such as undiagnosed leukaemia).In the US and most European countries, overall mortality remains within the range of a severe flu season.Normal overall mortality in the US is about 8000 people per day, in Germany it is about 2600 people per day, and in Italy it is about 1800 people per day.Strongly increased death rates, as in northern Italy, can be influenced by additional risk factors such as very high air pollution and legionella contamination, as well as a collapse in the care of the elderly and sick due to mass panic and lockdown.In countries such as Italy and Spain, and to some extent Great Britain and the US, an overload of the health care system, notably by the flu, is not unusual.In addition, up to 15% of doctors and nurses are currently in quarantine, even if they develop no symptoms.
OClient: On-board client clustering to bridge the interaction gap across multi-fabric adaptive ecosystem

&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;The current blockchain paradigm is being hailed as an unquenchable goal to develop Hyperledger Fabric (HF)-based applications, resulting in a set of substantial enterprises shifting their networking operations, as intriguing consortia to plug the permissioned-nature of blockchain-based computing. While this practice endeavors to fundamentally revolutionize industries, one of the unavoidable problems that emerge is a lack of communication among autonomous HF-based networks, which can hinder the ongoing research landscape and consequently, have detrimental effects on its adoption. Towards this, blockchain interoperability (BI) has been heralded as the underlying concept by which communication can be derived through locating an inter-connection bridge. Considering BI’s significant traction, this paper introduces a new methodological approach to deal with the disparate nature of HF-based networks, termed OClient, for embracing two different interoperabilities (inter-network and inter-chain). This approach strategically tunes the inner working of clients by providing the global information of HF network topology that extends their conventional role as a matching service provider for facilitating opportunistic communication, in contrast to the existing solutions where typically third-parties have been exploited as the intermediaries. The paper streamlines the discussion by putting forth a pragmatic multi-HF (MHF) network scenario to formulate the disconnectivity problem, followed by constructing interaction-path-based graphs and conducting rigorous simulations. More importantly, this paper manifests experimental examples and corresponding results, providing insights across various dimensions of client-level interoperability so as to understand the impact on performance for combinations of inter-network and inter-chain scenarios. Succinctly, the results demonstrate that OClient is close to the performance of autonomous HF networks, which makes it a useful approach. Besides, this paper strives to understand how the adopted failure strategy to maintain ledger consistency contributes to performance and finally, concludes by anticipating significant future research directions towards HF interoperability.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;
&lt;i&gt;Er(r)go&lt;/i&gt; Stylesheet and Formatting Instructions for Contributions in English

Instructions concerning the preparation and formatting of a contribution in English, including the Er(r)go stylesheet.
Natural Language Processing by Enhanced Honey Encryption Technique

Traditional encryption systems and techniques have always been vulnerable to brute force cyber-attacks. This is due to bytes encoding of characters utf8 also known as ASCII characters. Therefore, an opponent who intercepts a cipher text and attempts to decrypt the signal by applying brute force with a faulty pass key can detect some of the decrypted signals by employing a mixture of symbols that are not uniformly dispersed and contain no meaningful significance. Honey encoding technique is suggested to curb this classical authentication weakness by developing cipher-texts that provide correct and evenly dispersed but untrue plaintexts after decryption with a false key. This technique is only suitable for passkeys and PINs. Its adjustment in order to promote the encoding of the texts of natural languages such as electronic mails, records generated by man, still remained an open-end drawback. Prevailing proposed schemes to expand the encryption of natural language messages schedule exposes fragments of the plaintext embedded with coded data, thus they are more prone to cipher text attacks. In this paper, amending honey encoded system is proposed to promote natural language message encryption. The main aim was to create a framework that would encrypt a signal fully in binary form. As an end result, most binary strings semantically generate the right texts to trick an opponent who tries to decipher an error key in the cipher text. The security of the suggested system is assessed..
Overcoming Data Availability Attacks in Blockchain Systems: LDPC Code Design for Coded Merkle Tree

&lt;div&gt;Light nodes in blockchains improve the scalability of the system by storing a small portion of the blockchain ledger. In certain blockchains, light nodes are vulnerable to a data availability (DA) attack where a malicious node makes the light nodes accept an invalid block by hiding the invalid portion of the block from the nodes in the system. Recently, a technique based on LDPC codes called Coded Merkle Tree (CMT) was proposed by Yu et al. that enables light nodes to detect a DA attack by randomly requesting/sampling portions of the block from the malicious node. However, light nodes fail to detect a DA attack with high probability if a malicious node hides a small stopping set of the LDPC code. To mitigate this problem, Yu et al. used random LDPC codes that achieve large minimum stopping set size with high probability. Although effective, these codes are not necessarily optimal for this application, especially at short code lengths, which are relevant for low latency systems, IoT blockchains, etc.. In this paper, we focus on short code lengths and demonstrate that a suitable co-design of specialized LDPC codes and the light node sampling strategy can improve the probability of detection of DA attacks. We consider different adversary models based on their computational capabilities of finding stopping sets in LDPC codes. For a weak adversary model, we devise a new LDPC code construction termed as the entropy-constrained PEG (EC-PEG) algorithm which concentrates stopping sets to a small group of variable nodes. We demonstrate that the EC-PEG algorithm coupled with a greedy sampling strategy improves the probability of detection of DA attacks. For stronger adversary models, we provide a co-design of a sampling strategy called linear-programming-sampling (LP- sampling) and an LDPC code construction called linear-programming-constrained PEG (LC-PEG) algorithm. The new co-design demonstrates a higher probability of detection of DA attacks compared to approaches in earlier literature.&lt;/div&gt;
Author Index Volume 14 (2020)

International Journal of Semantic ComputingVol. 14, No. 04, pp. 591-594 (2020) Free AccessAuthor Index Volume 14 (2020)https://doi.org/10.1142/S1793351X20990019Cited by:0 Previous AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Remember to check out the Most Cited Articles! Check out our titles in Semantic Computing! FiguresReferencesRelatedDetails Recommended Vol. 14, No. 04 Metrics History PDF download
LITERACY-BASED PPKN POCKET BOOK DEVELOPMENT TO IMPROVE STUDENT LEARNING OUTCOMES OF CLASS IV SDN 067243 MEDAN SELAYANG DISTRICT, YEAR 2020/2021

This research is a type of research development (Research and Development) which aims to determine how the development of a Literacy-based PPKn pocket book, how the feasibility and effectiveness of the Literacy-based PPKn pocket book. The method used to analyze the data is a qualitative descriptive technique which is expressed in the distribution of scores and categories of the rating scale. This development research produces products that meet the eligibility requirements after validation by expert validators. material validation was declared very feasible with a percentage of 89.77%. For linguists it is stated very feasible with a percentage of 88%. and design experts are declared fit for use with a percentage of 80.76%. In this study, feasibility was also obtained from student response questionnaires after students used and ate the products that had been developed. The results of the student response questionnaire to the development of the Literacy-based PPKn pocket book were also said to be feasible with a percentage of 76.19%. The effectiveness of the product can be seen from the N-Gain value. From the N-Gain value of the experimental class reaching 0.48, it was stated that the effectiveness of the pocket book was in the Medium category. It is different from the control class which is categorized as low effectiveness with a score of 0.26. Furthermore, the researcher tested the research hypothesis, whether the hypothesis was acceptable or not using the t-test with the help of the SPSS program. In the output of the paired sample test with SPSS version 17, the Sig (2-tailed) value of 0,000 &lt;0.05 was obtained, so according to the basis for decision making in the paired sample test it can be concluded that Ho is rejected and Ha is accepted, it can be concluded that the development of a pocket book Literacy-based PPKn is feasible and effective to use in grade IV SDN 067243 Medan Selayang District Year 2020/2021