Reviewerly/exHarmony huggingface dataset:
Science A&amp;I Database Holdings at ARL and Oberlin Group Libraries, 2011–2016: A Longitudinal Study

After instituting major cuts to discipline-specific science abstracting and indexing (A&I) databases at an ARL library due to significant budget cuts, the author sought to determine if such cuts were being made by other academic libraries and what trends could be found in holdings of such databases.Annually, over the course of eight years, 108 ARL libraries and 74 Oberlin Group library website A-Z database lists were reviewed to look for the presence of 21 Science and Technology A&I databases.Additions and cancellations were recorded and verified.The results indicate little change in the holdings of several discipline-specific databases including MathsciNet, SciFinder Scholar, and GeoRef, while there were declines in holdings of several other databases including INSPEC, Biological Abstracts, and Compendex.Also measured were holdings of Proquest and EBSCO science A&I databases, which saw small declines in holdings, as well as holdings of comprehensive A&I databases Scopus and Web of Science, which saw a significant increase for Scopus holdings.
Wavelet Thresholding Risk Estimate for the Model with Random Samples and Correlated Noise

Signal de-noising methods based on threshold processing of wavelet decomposition coefficients have become popular due to their simplicity, speed, and ability to adapt to signal functions with spatially inhomogeneous smoothness. The analysis of the errors of these methods is an important practical task, since it makes it possible to evaluate the quality of both methods and equipment used for processing. Sometimes the nature of the signal is such that its samples are recorded at random times. If the sample points form a variational series based on a sample from the uniform distribution on the data registration interval, then the use of the standard threshold processing procedure is adequate. The paper considers a model of a signal that is registered at random times and contains noise with long-term dependence. The asymptotic normality and strong consistency properties of the mean-square thresholding risk estimator are proved. The obtained results make it possible to construct asymptotic confidence intervals for threshold processing errors using only the observed data.
Embodied Affect for Real-World Human-Robot Interaction

The potential that robots offer to support humans in multiple aspects of our daily lives is increasingly acknowledged. Despite the clear progress in social robotics and human-robot interaction, the actual realization of this potential still faces numerous scientific and technical challenges, many of them linked to difficulties in dealing with the complexity of the real world. Achieving real-world human-robot interaction requires, on the one hand, taking into account and addressing real-world (e.g., stakeholder's) needs and application areas and, on the other hand, making our robots operational in the real world. In this talk, I will address some of the contributions that Embodied Artificial Intelligence can make towards this goal, illustrating my arguments with examples of my and my group's research on HRI using embodied autonomous affective robots in areas such as developmental robotics, healthcare, and computational psychiatry. So far little explored in HRI, Embodied AI, which started as an alternative to "symbolic AI" (a "paradigm change") in the way to conceive and model the notion of "intelligence" and the interactions of embodied agents with the real world, is highly relevant towards achieving "real-world HRI", with its emphasis on notions such as autonomy, adaptation, interaction with dynamic environments, sensorimotor loops and coordination, learning from interactions, and more generally, as Rodney Brooks put it, using and exploiting the real world as "its own best model".
Cyber Security: Are Healty Services Reliable?

Objective: Information technologies are widely used in the presentation of health care services.Information technologies are important in providing quality and safe maintenance.Information Technology provides a large degree of maintenance security by providing information management, sharing and easy access.In addition to these positive features provided by information technologies, the fact that each device can be remotely controlled and accessible causes concerns about health data and the safety of devices.The health sector is attractive by cyber criminals because of its rich data sources and low defense defenses.Cyber threats in hospitals include health information and ransom attacks on hospitals, besides attacks on medical devices and infrastructure.Failure to take adequate measures for cyber security in healthcare organizations may endanger patient safety.Although cyber security is critical in patient safety, it is necessary to increase security measures with developing technology.As a result, cyber security has become an indivisible part of patient safety.In this article, the importance of cyber security that threatens patient safety is emphasized in the presentation of health care services and more studies are needed to increase the security measures.
Taper-less III-V/Si Hybrid MOS Optical Phase Shifter using Ultrathin InP Membrane

We present proof-of-concept taper-less III-V/Si hybrid MOS optical phase shifter. An ultrathin InP membrane enables low insertion loss despite no taper, with keeping high modulation efficiency owing to strong electron confinement at the MOS interface.
Menggunakan Metode Sokratis untuk Meningkatkan Pengetahuan NAPZA Mata Pelajaran PJOK

This Classroom Action Research was implemented to improve the health knowledge of XII TAV 1 students in SMK Negeri 3 Pacitan, especially drug competencies. XII TAV 1 students are 38 boys. The problem in this research is the low learning outcomes and active learning of drug competencies. To answer these questions, this study uses a quantitative approach with a class action research design. The results of this class action research indicate that the use of the socratic method can improve student learning outcomes in the learning of drug competencies. The average grade in the pre-cycle stage is 63.55, going up to 69.87 in cycle 1 and rising again to 75.65 in cycle 2. Classical completeness class also increased from the original 42% in the pre-cycle stage increased to 61 % in cycle 1 and increased again to 82% in cycle 2. Another result of this study was that student activity also increased. Based on the data from the processed observation sheets, the class activity score increased from 44.30 in cycle 1 to 51.32 in cycle 2.
English Teacher’s Strategy in English Teaching Learning at the Fourth Grade of SD Negeri Kowel 3 Pamekasan in 2013 Curriculum

English is not a core curriculum for elementary school based on the new Curriculum (2013 Curriculum).However, SDN Kowel 3 Pamekasan, is an elementary school that has implemented the 2013 curriculum since 2013 and has taught English to their students.This research tries to analyze about how does the English teacher formulate the strategy in English teaching-learning and how is the implementation of it while English is not one of Core Curriculum in 2013 Curriculum at the fourth grade of SDN Kowel 3 Pamekasan.This research is qualitative descriptive research.Interview, observation, and documentation were utilized to collect the data.The result shows that the English teacher used the previous curriculum, School-Based Curriculum (SBC), as the basis of the English teaching-learning process when the subject is not in the 2013 curriculum.In this case, the school changes the position of English from an extra curriculum into a local curriculum.Moreover, the English teacher develops the lesson plan from the English material book following School-Based Curriculum format which is different from the lesson plan format of 2013 Curriculum.While the implementation is the English teacher commonly used Audio Lingual Method (ALM) through repetition drill at the beginning of the class.
Analisis Manajemen Keamanan Informasi Menggunakan Standard ISO 27001:2005 Pada Staff IT Support Di Instansi XYZ

Information security management is very important to use, especially for educational instutions, because it is able to reduce the risk of threats to the use of information technology for educational organizations. Information security management is indispensable as an effort to minimize the risk of data enhancement and information threats. Implementation of information security management is intended to know technical problems and non technical problems. The research uses the ISO 27001:2005 standard is very flexible depending on the needs of the organization and focus on information security management. The research results using the ISO 27001:2005 standard is able to reduce the risk level and perform some activities that must be improved to improve information security at XYZ institutions.
Modulation Classification based on Deep Learning for DMT Subcarriers in VLC System

We propose a deep learning(DL) enabled modulation classification scheme using only dozens of received symbols. For each DMT subcarrier in VLC system, experiments achieve 100% classification accuracy rate using 75 symbols received at BER threshold.
Facilitating English Club For High School Students: “Life to The Max”

This article reports a community service in the form of an English Club programme conducted for students of SMA Immanuel Kalasan, a private High School in Sleman, Yogyakarta. The lecturers of the English Language Education Department (ELED) of Duta Wacana Christian University (UKDW) became the facilitators of the programme with several ELED students being the facilitator assistants. The English Club was conducted in the second semester of the 2018/2019 academic year and it became the third edition of the English Club co-conducted by the school and the ELED. With speaking skill as the target, the programme used the principles of whole-person education in which the focus of the instruction was not only on cognitive aspect, but also on the affective, behavioural, and spiritual aspects. This programme was themed “Life to the Max” and there were in total seven meetings conducted every other Thursday in which each ninety-minute meeting had smaller theme in relation with the big theme. These themes were “communication”, “bullying”, “comparing self to others”, “health”, “sports”, “environment”, and “relationship”. The instruction was in general conducted in a highly communicative way with most of the activities conducted in small groups with the participants making vlogs about the topic being the after-class task. Based on the reflection of what went well and what needed improvement in this programme, some conclusions and recommendations on future programmes were made.
Pedagogical problems encountered by teachers of English to Computer Science students in the Indonesian context

Many factors are required in order to increase the skills of English of higher education students, specifically computer science students. Of the factors, teachers play a very important role since they are the agents of change in the classrooms; not to neglect that the students are also the agents of their own changes. Using Brown’s 12 pedagogical characteristics of a good language teacher as its theory, this is a report of the first step of design-based research, practical problems encountered by teachers of English to computer science students conducted at two private universities in Indonesia. Among the 12 characteristics, knowledge of approaches to language teaching seems to be the biggest challenge that came upon the teachers. The findings of this step will subsequently be used as the bases to go further to the second cycle of design-based research, which is the development of solutions informed by existing design principles and technological innovations.
A Hippocampal–Entorhinal System Inspired Model for Visual Concept Representation

Visual concepts play a significant role in human cognition. The question of how past experience guides the formation of the visual concept system has been contentious for decades. There have been exciting recent progresses on concept learning and visual understanding. Despite the great advances, the previous models ignored the manner of visual concepts organization and representation in the brain. The semantic concepts in these models are not grounded on concrete visual representations. In this article, we propose a novel framework named visual concept space model (VCSM) by drawing inspiration from the hippocampal-entorhinal system. Specifically, we extend the role of the hippocampal-entorhinal system from spatial navigation to visual concept space. The proposed model provides a spatial representation format for visual concepts. The semantic concepts in the VCSM are explicitly built on visual representations. Once trained, VCSM can infer the visual attributes of input images and reconstruct diverse images from given concepts. Comprehensive experimental results on 3-D Chairs and Extended Yale Face Database B demonstrate the effectiveness of the proposed model.
Analytical Method to Improve the Security of Internet of Things with Limited Resources

This research is about the information security of very obliged gadgets.Design Science Research (DSR) Method is utilized for this reason.It let us pick up the fundamental thought and exploration of the primary issue space.This is a procedure of combining distinctive pre-affirmed examines to pick up the goal.Symmetric cryptography will be utilized as a noteworthy device in various information items and entryway gadgets.The principle target of this exploration is to give security to exceptionally constrained gadgets as they are not ready to convey utilizing TLS or DTLS given a deficiency of assets.This arrangement is a finished bundle to give credibility, information honesty and privacy, either information is making a trip to entryway, gadgets or the web.At the information interface layer, AES symmetric encryption is utilized and information questions likewise are encoded utilizing a similar encryption strategy.Assessment is performed using wire shark.
An Efficient Hardware Implementation of Radix-16 Montgomery Multiplication

This paper proposes a radix-16 modular Montgomery multiplication based on modified Booth-16 encoding. The Booth-16 encoding is modified to reduce the complexity and critical path-delay of the generation of partial products. The proposed algorithm is evaluated on Xilinx FPGA Virtex7 XC7VLX330T-3 with ISE 14.7. The hardware synthesis result shows that the proposed algorithm reduces both the cost and latency by 9.9% and 21.3% respectively, in comparison to the previous works.
Diagnosis Of Heart Disease Using K-Nearest Neighbor Method Based On Forward Selection

Heart is one of the essential organs that assume a significant part in the human body. However, heart can also cause diseases that affect the death. World Health Organization (WHO) data from 2012 showed that all deaths from cardiovascular disease (vascular) 7.4 million (42.3%) were caused by heart disease. Increased cases of heart disease require a step as an early prevention and prevention efforts by making early diagnosis of heart disease. In this research will be done early diagnosis of heart disease by using data mining process in the form of classification. The algorithm used is K-Nearest Neighbor algorithm with Forward Selection method. The K-Nearest Neighbor algorithm is used for classification in order to obtain a decision result from the diagnosis of heart disease, while the forward selection is used as a feature selection whose purpose is to increase the accuracy value. Forward selection works by removing some attributes that are irrelevant to the classification process. In this research the result of accuracy of heart disease diagnosis with K-Nearest Neighbor algorithm is 73,44%, while result of K-Nearest Neighbor algorithm accuracy with feature selection method 78,66%. It is clear that the incorporation of the K-Nearest Neighbor algorithm with the forward selection method has improved the accuracy result. Keywords - K-Nearest Neighbor, Classification, Heart Disease, Forward Selection, Data Mining
Genres and Actors/Actresses as Interpolated Tags for Improving Movie Recommender Systems

A movie recommender system has been proven to be a convincing implement on carrying out comprehensive and complicated recommendation which helps users find appropriate movies conveniently.It follows a mechanism that a user can be accurately recommended movies based on other similar interests, e.g.collaborative filtering, and the movies themselves, e.g.contentbased filtering.Therefore, the systems should come with predetermined information either by users or by movies.One interesting research question should be asked: "what if this information is missing or not manually manipulated?"The problem has not been addressed in the literature, especially for the 100K and 1M variations of the MovieLens datasets.This paper exploits the movie recommender system based on movies' genres and actors/actresses themselves as the input tags or tag interpolation.We apply tag-based filtering and collaborative filtering that can effectively predict a list of movies that is similar to the movie that a user has been watched.Due to not depending on users' profiles, our approach has eliminated the effect of the coldstart problem.The experiment results obtained on MovieLens datasets indicate that the proposed model may contribute adequate performance regarding efficiency and reliability, and thus provide better-personalized movie recommendations.A movie recommender system has been deployed to demonstrate our work.The collected datasets have been published on our Github repository to encourage further reproducibility and improvement.
VELOCITY OF MONEY INCOME AND ECONOMIC GROWTH IN SUDAN: COINTEGRATION AND ERROR CORRECTION ANALYSIS

This study explores the linkages between velocity of money and economic growth in Sudan using conitegration and error correction methods in the context of the quantity theory of money QTM without inclusion of institutional factors. Cointegration analysis confirms existence of a long run equilibrium relationship between velocity of money and economic growth. The empirical analysis shows that velocity of money is significantly and positively affected by GDP and broad money, validating the QTM. Velocity of money is also found to be positively affected by trade openness, government deficit but negatively affected by inflation and investment. Granger causality test shows unidirectional relationships running from GDP, inflation and financial development to velocity of money. A bidirectional causality between velocity and trade openness is detected. These findings suggest that velocity of money is driven mostly by expansionary monetary policy and monetization of government deficit, which should be controlled. Keywords: Velocity of money; GDP; Inflation; Financial development; unemployment; trade openness JEL Classifications: C32, E10, E40, E63 DOI: https://doi.org/10.32479/ijefi.8944
Sparse Least Squares Support Vector Machine With Adaptive Kernel Parameters

In this paper, we propose an efficient Least Squares Support Vector Machine (LS-SVM) training algorithm, which incorporates sparse representation and dictionary learning.First, we formalize the LS-SVM training as a sparse representation process.Second, kernel parameters are adjusted by optimizing their average coherence.As such, the proposed algorithm addresses the training problem via generating the sparse solution and optimizing kernel parameters simultaneously.Experimental results demonstrate that the proposed algorithm is capable of achieving competitive performance compared to state-of-the-art approaches.
The Impact of Strategies Human Resource Management on Organizational Commitment. (An Applied Study on Employees in Jordanian Islamic Banks)

The present study aimed to explore the impact of strategies human resource management (SHRM) (recruitment, training, compensation, and performance management) on organizational commitment, An applied study on employees in Jordanian Islamic banks. It was found that the strategies human resources management in Jordanian Islamic banks is high. It was found that the employees&amp;rsquo; organizational commitment level in Jordanian Islamic banks is high. There is a statistically significant effect at the level (&amp;alpha;&amp;le;0.05) of strategies human resource management (employment, training, compensation and performance management) on organizational commitment (respect for values and ethics, willingness to commit to work, creative behavior at work), an applied study on employees in Jordanian Islamic banks. The researchers recommend: developing the strategies of the human resources management in a manner that is consistent with the external environment of the organization.
Analysis of Sponsored Content in the Case of Competing Content Providers

With a sponsored content plan in the internet market, the content provider (CP) can pay to the internet service provider (ISP) on behalf of the endusers the network subscription fees.As such, CP, ISP and end-users are incentive to participate in the sponsored content.In this paper, we propose an internet market model with sponsored content.Furthermore, we investigate the interactions among CPs based on a non-cooperative game in terms of pricing, credibility of content and number of sponsored content.Additionally, the existence and uniqueness of the Nash equilibrium are proved through a detailed analysis.Based on the game properties, we propose a learning algorithm based on the best response dynamic that may lead the CPs to learn their strategies in a distributed manner.Numerical investigation shows the convergence of a proposed algorithm to the Nash equilibrium point and corroborates the fact that sponsoring content may improve the CPs outcome.
Socio-economic effect of development of education system and labor market of professional personnel

This article analyzes the education system and the labor market of professional personnel, as well as the socio-economic effects that can be obtained from their sustainable development. The scheme of interaction between the education system and the labor market was investigated, the importance of labor for the modern economy was determined. Based on studies of the principles and mechanisms of the interaction of the labor market with the educational environment, the problems of network interaction of labor entities with authorities were considered and the use of a project to increase their effectiveness at the regional level was proposed.
Cybersecurity of Railway Command and Control Systems

With the large-scale migration to computer-based and network technology, the threat of unauthorized remote access to railway command and control systems does not appear to be something extraordinary.But external effects shall be considered alongside with internal factorsof signalling software and hardware such errors and undocumented features. Risk mitigation in terms of cybersecurity of signalling installations can onlybe achieved as a combination of means designed within some holistic approach integrating both safety and IT security aspects.