Reviewerly/exHarmony huggingface dataset:
Implementasi HOT-Fit Model Dalam Evaluasi Perpustakaan Digital Universitas PGRI Madiun

The library is a Technical Implementation Unit in tertiary institutions that has a role as a means of supporting the lecture process for students as well as media for gathering and disseminating information in the aspects of education, research aspects and aspects of community service to help achieve the Tri Dharma of Higher Education. Digital Library is the result of the role of information technology that provides convenience in providing information to users without being hindered by time and space. The aim of this research is to evaluate the digital library of Madiun University using the HOT-Fit Model (Human, Organizaton, Technology) method, which contains several variables, namely system quality, service quality, information quality, service use, service quality, system benefits and customer satisfaction . the results of this study as a whole can be seen the relationship between the three variables interplay between variables.
HUBUNGAN SIKAP SOSIAL DAN KECERDASAN EMOSIONAL TERHADAP PRESTASI BELAJAR SISWA SEKOLAH DASAR DI WILAYAH KECAMATAN GUMELAR DI TINJAU DARI GENDER

This study aims to determine the relationship between (1) social attitudes andlearning achievements of fifth grade elementary school students in the NagawiruCluster Gumelar District; (2) emotional intelligence with learning achievement of fifthgrade elementary school students; and (3) social attitudes and emotional intelligence offifth grade elementary school students.This research used a correlational research witha quantitative approach. The variables in this study are emotional intelligence, socialattitudes, and student achievement. The study population was all fifth grade students inelementary schools in the Nagawiru cluster. The number of samples taken was 75students by using proportional random sampling technique. Data collection techniquesusing questionnaires and documentary studies. The analysis technique used is theproduct moment correlation technique and multiple regression. The results showed that(1) there was a positive and significant relationship between social attitudes with classV student achievement Whereas female students have a positive and significantrelationship between social attitudes and learning achievements ; (2) there a positiveand significant relationship between emotional intelligence and student achievemenespecially females; and (3) there is a positive and significant relationship betweensocial attitudes and emotional intelligence. Meanwhile, both male and female studentshave social attitudes with emotional intelligence with low and moderate categories.
The Effect on Group Counseling for the Low Self-Concept of Undergraduate

Objectives: To explore the group counseling on the impact of low self-concept of students.Methods: Filter out 21 students with low levels of self-concept from 80 randomly selected college students, and 11 of them as the experimental group to accept group counseling to explore self-awareness.The group counseling consists of six units and lasts six weeks.Tennessee self-concept scale and interpersonal relationship scale were used for pre-and post-testing before and after counseling; the other 10 college students served as the control group and did not conduct group counseling experiments.A comparative study of the experimental group and control group also compared the pre-test and post-test results of the experimental group.Results: There were significant differences in the results of the experimental group between the pre-test and post-test data; the treated subjects improved the level of self-concept significantly.There was a significant difference between the experimental group and the control group in the post-test.Conclusion: The group counseling to explore self-consciousness can help low levels of self-concept students to understand themselves, be pleased to accept themselves, develop themselves, also enhance their interpersonal skills, environmental adaptability and learning ability can be promoted.
149 Falls in the United States: Magnitude, Risk, Disparities, and Solutions

Abstract In the United States, falls incidence rates remain steady among older adults (those age 65 years and older), which highlights the need for effective interventions to prevent falls and manage fall-related risks. Falls are the leading cause of unintentional injury and injury-related disability and deaths among older adults (29,668 deaths, 61.6/100,000, in the US in 2016), and the rate of fall-related deaths among older adults increased 31% from 2007 to 2016. In the United States, an older adult goes to an emergency room due to a fall every 11 seconds (3 million visits per year), and an older adult dies from a fall-related injury every 19 minutes. In response to this issue, the Administration for Community Living (ACL) and other governmental agencies have dedicated large sums of funding to initiate and support fall prevention and management efforts in clinical and community settings. As part of the solution, ACL supported 40 grantees to deliver eight evidence-based fall prevention programs (e.g., A Matter of Balance, Stepping On, Tai Chi, Otago Exercise Program) from 2010-2016. During that time, this ongoing initiative has reached 45,812 participants in 22 states by delivering 3,755 workshops. The majority of workshops were delivered in senior centers (26%), residential facilities (20%), healthcare organizations (13%), and faith-based organizations (9%). This presentation will use geographic information system (GIS) mapping to geospatially depict the dissemination of these programs as well as highlights their impact on fall-related outcomes. Additionally, models of clinical and community collaboration for fall prevention will be described, which shows the importance of leveraged resources, seamless referral systems, and timely feedback channels. Further, policy initiatives and a national network of state-based fall prevention coalitions will be described to coordinate and integrate efforts across clinical, community, corporate, and academic settings. Lastly, strategies will be shared to diversify the delivery infrastructure for fall prevention programs and incorporate technological options for isolated populations and those without access to preventive services.
Difficulties in Writing Business English Correspondence

The title of this research was the difficulties in writing business English correspondence at fourth Secretary Semester students in ASMI Citra Nusantara Banjarmasin Academic Year 2018-2019 which was aimed at knowing the difficulties of Writing Business English Correspondence. The population was 15 students or whole of the fourth Secretary Semester students and the researcher conducted the data using descriptive qualitative research that employs descriptive qualitative method. The data of this study were obtained by using questionnaire was divided into two parts; they are background of the respondent and surveyed the difficulty by using Likert-Scale. The scale ranged from: “Strongly Agree, Agree, Neutral, Disagree and Strongly Disagree”. Writing difficulties at Business English Correspondence at fourth semester students varied in the result which related to the Linguistic difficulty, like wide range of vocabulary usage. They have to enlarge the vocabulary meaning, using appropriate or formal vocabulary or sentences in Business English Correspondence. The respondents also gave their suggestion to change their difficulties like, changed their learning English method especially in writing business English correspondence.
The empirical study: encouraging students’ interest in software development using test-driven development

The supply is not matching the demand on the market for software developers. While the enrolment in undergraduate computer science courses is increasing, few students are interested in and committed to becoming software developers. It could be that students are overwhelmed by the software development methodology that they are taught. We are consequently looking for a constructivist approach to software engineering able to effectively engage learners. We empirically evaluated whether test-driven development (TDD) is able to improve the quality of both learning and of software development in the classroom. Although numerous studies have outlined the benefits and effects of TDD in the classroom, none of those studies have focused on measuring students' interest in and attitudes toward using TDD in the classroom. We present a study evaluating the impact of TDD on the engagement and focus of learners of software development in the classroom. The results illustrate that the use of TDD in the classroom encourages learners to engage and focus.
Model calibration by multi-null constraint for an optical freeform surface adaptive interferometer

Model calibration is performed for an adaptive freeform surface interferometer (AFI). In view of the non-unique null configuration in AFI, the multi-null constraint (MNC) calibration method is proposed to address error coupling in the null configuration modeling. The final figure error of the tested surface can be extracted together with the coupling parameters. The performance of the MNC method is evaluated in simulations and experiments. The higher accuracy is proved after the MNC calibration. This calibration is preparation for the subsequent system instrumentation.
Proposing a load balancing algorithm with an integrative approach to reduce response time and service process time in data centers

Goal: Load balancing policies often map workloads on virtual machines, and are being sought to achieve their goals by creating an almost equal level of workload on any virtual machine. In this research, a hybrid load balancing algorithm is proposed with the aim of reducing response time and processing time.&#x0D; Design / Methodology / Approach: The proposed algorithm performs load balancing using a table including the status indicators of virtual machines and the task list allocated to each virtual machine. The evaluation results of response time and processing time in data centers from four algorithms, ESCE, Throttled, Round Robin and the proposed algorithm is done.&#x0D; Results: The overall response time and data processing time in the proposed algorithm data center are shorter than other algorithms and improve the response time and data processing time in the data center. The results of the overall response time for all algorithms show that the response time of the proposed algorithm is 12.28%, compared to the Round Robin algorithm, 9.1% compared to the Throttled algorithm, and 4.86% of the ESCE algorithm.&#x0D; Limitations of the investigation: Due to time and technical limitations, load balancing has not been achieved with more goals, such as lowering costs and increasing productivity.&#x0D; Practical implications: The implementation of a hybrid load factor policy can improve the response time and processing time. The use of load balancing will cause the traffic load between virtual machines to be properly distributed and prevent bottlenecks. This will be effective in increasing customer responsiveness. And finally, improving response time increases the satisfaction of cloud users and increases the productivity of computing resources.&#x0D; Originality/Value: This research can be effective in optimizing the existing algorithms and will take a step towards further research in this regard.
Bitcoin mining, the way to process transaction information or the way to make money?

Bitcoin is a crypto currency introduced by Satoshi Nakamoto in 2008. It has the features of decentralization cross-border and fixed total amount and has become one of the most widely used crypto-currencies. Bitcoin, as a new digital currency system, innovatively makes the use of cryptographic elements and consensus mechanisms and builds up a secure decentralized system. The Blockchain, as the core of Bitcoin, uses peer-to-peer network communications and backs up transaction data in every node of the system, thus creating a huge distributed public book. It is essentially a decentralized distributed ledger database, and the decentralization means that the transaction is broadcast to the entire network, where everyone is involved in book keeping. In order to make every participant in the Blockchain willing to participate in the bookkeeping, the reward mechanism of the Bitcoin system is mining. This article first introduces the concept of Blockchain technology, then expounds the principle and the operation mechanism of the Bitcoin and the Bitcoin mining principle, introduces an example of Bitcoin mining in-depth study and analysis, finally, summarize and prospect the development of the Bitcoin mining.
Developing Future English Teachers’ Overall Communicative Language Ability: Open Educational Resources Usage

The main objective of research is to investigate into the use of open educational resources in developing future English teachers' overall communicative language ability.To achieve progress in attaining the main objective the researchers collect key data on university lecturers' personal experience on using open educational resources in developing future English teachers' overall communicative language ability.The research is nonexperimental in nature.Based on the collected key data the authors also provide a descriptive review of the open educational resources most commonly noted by university lecturers and present teaching materials aimed at developing future English teachers' overall communicative language ability through boosting their language skills while using open educational resources in the process of teaching "The Practical Course of the English Language".A non-random sampling technique is used for selecting the research sample.The research sample includes 128 university lecturers who teach "The Practical Course of the English Language" to students earning BA in the English language considered in our study as future English teachers.The questionnaire developed by researchers was used for collecting key data.For processing and interpreting obtained data researchers used a content analysis, a descriptive analysis and a method of discursive reflection that could be regarded as qualitative research methods.The research was conducted at six higher educational establishments in Ukraine between March 2018 and February 2019.The research findings prompt the conclusion that open educational resources play a crucial role in developing future English teachers' overall communicative language ability since their use in instruction process gives university lecturers a wide range of opportunities to improve four language skills of their students.
A democratic dénouement? The European Union vs terrorist content online | Um desfecho democrático? União Europeia vs conteúdo terrorista online

This paper explores the manifold aspects of the draft Terrorist Content Online ('TCO') Regulation which are of clear import for the democratic future of the internet insofar as they will reshape the boundaries of what is acceptable behavior online and set out tools and procedures for deciding what must be (potentially, pre-emptively) excised from the exchanges taking place there.The piece places particular emphasis on the proposal's ramifications for legal certainty and freedom of expression in cyberspace.In doing so, it aims to raise the most salient policy concerns, legal difficulties and technological quandaries which ripple out from the EU legislator's laudable goal of tackling violent and terrorist content online.The article is structured as follows: after a discussion of the foundational concept of "terrorist content" which applies across the board in the draft text (II), we distinguish its headline provisions tightening up service providers' compliance with orders to remove or disable access to terrorist content (III) from those aspects of the proposal which aim to responsibilise providers to act unassisted against terrorist content, including through the hotly-debated use of proactive measures (IV).A few concluding remarks on the future direction of this live file are offered to close (V).
HUBUNGAN MOTIVASI BELAJAR SISWA DAN PENDAPATAN ORANG TUA TERHADAP MINAT MELANJUTKAN STUDI KE PERGURUAN TINGGI SMK NEGERI 1 PALEMBANG

For students who will approve the choice to go to college, of course they will be faced again with the choice of which college to enter and what direction to choose. In its development, students support to continue their studies to higher education by considering the money spent by parents of students who want to go to college. The population in this study were all students of class X Accounting and Financial Institutions sponsored by 143 students. Data collection techniques use questionnaire, observation and documentation techniques. Based on the test results it is undeniably related to student motivation and parents' money towards the interest received by the study in the high school at Palembang State Vocational School 1 This result is strengthened by the value of Fcount 257,013 &gt; Ftable 2.715 or Sig Fcount 0.000 &lt;a = 0.05. Higher success, student learning and parents' money will be even greater towards the interest in continuing their studies to higher education at Palembang State Vocational School 1.Keywords: Motivation to Study, Parent Income, and Interest in Continuing Study to Higher Education
Analysis of Solar Energy Potential and Optimal Panel Tilt Angle in the Area of the City of Sarajevo

One of the major problems the city of Sarajevo is currently facing is the fact that in winter months the atmosphere is very polluted, mainly because of enormous usage of fossil fuels, primarily for heating.The other issue is the fact that it is extremely energy dependent, only a small portion of it's energy needs is currently produced within the area of the city.These are the two main reasons for the analysis of the solar energy potential in Sarajevo.This paper focuses on analysing the available solar irradiance data obtained from several sources and on providing the exact mathematical method of the analysis, as well as on the results themselves.Furthermore, it also focuses on the effect of the surface tilt angle on the overall amount of the solar irradiance received by the tilted surface.After analysing and processing al the data, a more precise assessment of solar energy potential and the effect of the tilt angle on the overall irradiance received by the tilted surface in Sarajevo is given, as well as the guidelines for further research.
An Ontological Approach to the Extraction of Figures of Speech

The purpose of the current paper is to present an on-tological analysis to the identification of a particular type of prepositional natural language phrases called figures of speech [1] via the identification of inconsis-tencies in ontological concepts.Prepositional noun phrases are used widely in a multiplicity of domains to describe real world events and activities.However, one aspect that makes a prepositional noun phrase poetical is that the latter suggests a semantic relationship between concepts that does not exist in the real world.The current paper discusses how a set of rules based on Wordnet classes and an ontology repre-senting human behavior and properties, can be used to identify figures of speech.It also addresses the problem of inconsistency resulting from the assertion of figures of speech at various levels identifying the problems involved in their representation.Finally, it discusses how a contextualized approach might help to resolve this problem.'shelter.n.01', 'structure.n.01', 'artifact.n.01' 'whole.n.02', 'object.n.01', 'physical entity.n.01', 'entity.n.01'
Open Psychology: transparency and reproducibility

I describe the attempt by a group of psychologists to reform the discipline into an Open Science (which I will call 'Open Psychology'). I will first argue that their particular version of Open Science reflects the problems that gave rise to it and that it tries to solve. Then I will describe the infrastructure that this group of people is putting in place to facilitate transparency. An important function of this infrastructure is to restrict what are called 'researcher degrees of freedom'. In Psychology, transparency is as much about closing down as it is about opening up. I will then focus on the flagship project of Open Psychology, the Reproducibility Project. According to the Open Psychologists, the neglect of replication is at the core of Psychology's current problems, and their online infrastructure offers the perfect framework to facilitate replication and give it a place in the field's research process. But replication, I will argue, is not just an epistemological, methodological issue: it implies a particular ontology and tries to enact it. The Reproducibility Project, and Open Psychology generally, can be considered as social experiments, that attempt not only to reform Psychology, but also to perform a new psychological object.
Eye Contact Detection via CNN-based Gaze Direction Regression

Considering the critical role eye contact [1] plays in our daily interaction, we propose a non-invasive approach and implement it with computer vision as a comprehensive eye contact detection system. Our system does not need additional hardware and calibration. It consists of a regression gaze direction CNN model - VHModel - and a binary eye contact detection model, and they are both trained on the Columbia-Gaze dataset. Experiment shows that our proposed approach can achieve an MCC score of 0.92 on the average, which is higher than competing methods. To verify the generalization ability of our system, we collect a new eye contact dataset, which contains 2.2K images of various head poses and eye scales. Our system still achieves an accuracy up to 0.80 on this dataset. Through the comparisons, we conclude that our system is robust to changes in environment, face, illumination, head pose and distance.
SenseNet: Deep Learning based Wideband spectrum sensing and modulation classification network.

Next generation networks are expected to operate in licensed, shared as wellas unlicensed spectrum to support spectrum demands of a wide variety ofservices.Due to shortage of radio spectrum, the need for communicationsystems(like cognitive radio) that can sense wideband spectrum and locatedesired spectrum resources in real time has increased.Automatic modulationclassifier (AMC) is an important part of wideband spectrum sensing (WSS) as itenables identification of incumbent users transmitting in the adjacent vacantspectrum.Most of the proposed AMC work on Nyquist samples which need to befurther processed before they can be fed to the classifier.Working with Nyquistsampled signal demands high rate ADC and results in high power consumption andhigh sensing time which is unacceptable for next generation communicationsystems.To overcome this drawback we propose to use sub-nyquist sample basedWSS and modulation classification. In this paper, we propose a novelarchitecture called SenseNet which combines the task of spectrum sensing andmodulation classification into a single unified pipeline.The proposed method isendowed with the capability to perform blind WSS and modulation classificationdirectly on raw sub-nyquist samples which reduces complexity and sensing timesince no prior estimation of sparsity is required. We extensively compare theperformance of our proposed method on WSS as well as modulation classificationtasks for a wide range of modulation schemes, input datasets, and channelconditions.A significant drawback of using sub-nyquist samples is reducedperformance compared to systems that employ nyquist sampled signal.However,weshow that for the proposed method,the classification accuracy approaches toNyquist sampling based deep learning AMC with an increase in signal to noiseratio.