Reviewerly/exHarmony huggingface dataset:
Kreativitas Belajar Komputer Akuntansi Dalam Perspektif Persepsi Keterampilan Mengajar Dosen Dan Motivasi Belajar Mahasiswa Angkatan 2015/2016 FKIP UMS

The purpose of this study was to find out: 1) Effects of Perception on Lecturer Teaching Skills on Learning Creativity in Computer Accounting Courses, 2) Effects of Learning Motivation on Learning Creativity in Computer Accounting Courses, 3) Effects of Perception on Teaching Skills and Learning Motivation on Learning Creativity of Accounting Computer Courses of the students semester VII 2015 at Muhammadiyah University of Surakarta on the academic year 2018/2019. This research is a quantitative study with a non-experimental research design that is using survey design. This research conducted at the Muhammadiyah University of Surakarta in the academic year of 2018/2019. The population in this study was 214 students with a sample of 135 and using random sampling techniques because of elementary units. Data collection techniques were with documentation and questionnaires/inquiries. Data analysis techniques with normality test, linearity test, multiple regression analysis, F test, t test, coefficient of determination test, and seeking for Effective Contribution (SE) and Relative Contribution (SR) to Y. Results of this research showed that: 1) tcount>3.016>1.978 or 0.003 3.218>1.978 or 0.002 Ftable which is 34,414>3.06 or Sig.<0.05, which is 0,000, Ho was rejected, meaning there is a simultaneoutly positive influence between the independent variables of lecturer teaching skills (X1) and learning motivation (X2) with the independent variable of student learning creativity (Y). The results of the calculation of the Effective Contribution (SE) perception variable about lecturer teaching skills is 16.37% and the relative contribution is 48.14%, the calculation of the effective contribution (SE) of the learning motivation variable is 17.62% and its relative contribution is 51.82%. the results of the analysis of the coefficient of determination (R2) amounted to 34.3%, meaning that the perception variable about lecturer teaching skills and learning motivation had an effect of 34.3% on learning creativity in accounting computer subjects while 65.7% was influenced by other variables not examined.
The one-way communication complexity of dynamic time warping distance

We resolve the randomized one-way communication complexity of Dynamic Time Warping (DTW) distance. We show that there is an efficient one-way communication protocol using $\widetilde{O}(n/\alpha)$ bits for the problem of computing an $\alpha$-approximation for DTW between strings $x$ and $y$ of length $n$, and we prove a lower bound of $\Omega(n / \alpha)$ bits for the same problem. Our communication protocol works for strings over an arbitrary metric of polynomial size and aspect ratio, and we optimize the logarithmic factors depending on properties of the underlying metric, such as when the points are low-dimensional integer vectors equipped with various metrics or have bounded doubling dimension. We also consider linear sketches of DTW, showing that such sketches must have size $\Omega(n)$.
Long-Term Trends in Public Sentiment in Indian Demonetisation Policy

Social media mining can provide insights into a community’s perceptions which conventional approaches cannot observe. In this paper, we perform a sentiment analysis for measuring long-term trends in public opinion during the 2016 Indian demonetisation policy using Twitter data. We compare our findings to prior research and reports retrieved from media and sources. We utilise Rapid Miner sentiment classifier to a post-event of extending the deadline to deposit the forfeit banknotes. The results indicate an attitude that is predominantly continuing to oppose towards demonetisation policy implementation. We recommend from this study that a multi-lingual sentiment be employed to process non-polarised tweets in local languages in future work.
Investigation of Phishing Attacks and Means to Utilize Anti Phishing Techniques

Advancement of technology have both positive and negative impacts. Some of the negative impacts are cyber crimes. Cyber crimes have become more dangerous. Phishing is one of the cyber crime which results in exploitation of data. There are many phishing attacks which are identified every day. There are different techniques in phishing attacks. We have to reduce those attacks by employing suitable anti-phishing techniques. Some of the anti-phishing techniques and algorithms are discussed in this paper. History of phishing and the lifecycle are also discussed in this paper. People should be aware of all such phishing and the anti-phishing techniques. They have to be careful while checking their mails and should not click on any links or downloadable malware files.
Modeling long range relations by feature translation

Long range relations play a key role in tasks like human pose estimation that requires dense prediction. We propose an additional module containing a process called feature translation, to gather long range information at early stages. It is shown that such module has connection with dilated convolution and is more efficient. The module significantly improves performance in pose estimation and we show that most of the improvement is contributed by the feature translation process.
Pengaruh Edukasi Farmasis terhadap Outcome Terapi Pasien TB Paru Fase Intensif di RSUP Persahabatan Periode Maret-Juli 2015

The background knowledge of this research is based on the amount of patients’ pulmonary tubercu-losis who get failed doing their therapy and recur in having it after doing the treatment at RSUP Persahaba-tan.The objective of this research is to decrease the amount of patients get failed doing the therapy and recur at RSUP Persahabatan. The method of the research is Quasi-experimental with Nonrandomized Control Group Pretest-Postest Design. Furthermore, the technical sampling used is voluntaryby two apparent groups, 54 pa-tients as control group and 54 patients as experiment group.The instrument of this research are pre-test,posttest and Likert Questionair Model which is used to measure the knowledge and compliance toward the outcome of the therapy before and after it meets a good validity and reability test with standard α = 0,05. The conclusion is education pharmacy can increase knowledge and compliance with TB patients so that the outcomes of therapy against Pulmonary TB patients at RSUP Persahabatan is improved.
Message from the General Chair, Program Co-Chairs, and Local Chair

SANER 2019, the 26th IEEE International IEEE International Conference on Software Analysis, Evolution and Reengineering. SANER is the premier research conference on the theory and practice of recovering information from existing software and systems. It explores innovative methods of extracting the many kinds of information that can be recovered from software, software engineering documents, and systems artifacts, and examines innovative ways of using this information in system renovation and program understanding. SANER 2019 has a rich and diverse program on the latest innovations and visions in software analysis, evolution and reengineering. The research track received 151 submissions, of which 2 were desk-rejected and 1 was withdrawn by the authors during the review period. The remaining 148 papers each received at least three reviews. We adopted a double-blind reviewing process to the research track based on the success of double-blind reviewing adopted last year. Following an extensive online discussion, 45 papers were accepted (5 of them being conditionally accepted in a first stage), yielding an acceptance rate of 30.4%. No specific acceptance rate was communicated as a guideline to the reviewers. The PC were free to accept any paper deemed strong and novel enough and were encouraged to look for reasons to accept papers rather than to just point out flaws. The accepted papers will be published in the official conference proceedings. Up to top 10% of accepted papers would be awarded the IEEE TCSE Distinguished Paper Awards. The award papers will be announced at the conference. As in previous years, authors of selected papers from the research track will be invited to submit extended versions of their work to a special issue of the Springer international journal of Empirical Software Engineering (EMSE).
A RETROSPECTIVE STUDY TO DETERMINE THE CASES OF MALARIA AT RAIGARH DISTRICT, CHHATTISGARH- AN OBSERVATIONAL ANALYSIS

Background: Malaria remains the most important disease responsible for causing great suffering and loss of life in the world. The rationale behind the present study was to determine the proportion of Malaria and compare the record data.&#x0D; Objectives: To determine the prevalence of Malaria and to compare the prevalence sex wise, age wise and to investigate which species is prevalent in Raigarh.&#x0D; Material &amp; Methods: Retrospective record-based study was done were the data from January 2009 to December 2018 was gathered and analyzed. Prevalence was calculated and Epi-info (7.0) software was used.&#x0D; Results: 79218 blood smears prepared in 10 years in which 2911 smear were positive which indicates around 3.67% cases were positive. The Prevalence rate is falling with increasing years which indicates the importance of Malaria eradication programme. Positive cases were found to be highest under 10 years (46.58%). Male preponderance and Plasmodium falciparum is the most common species.&#x0D; Conclusion: Health education through IEC (Information, Education and Communication) activities and behavioural change communication (BCC) are very important intervention measures aimed at improvement of environmental sanitation and personal protection from mosquito bites for the elimination of malaria in the endemic areas as well as in the whole country.&#x0D; Keywords: Malaria, prevalence, plasmodium falciparum
Comparison of the Effects of Different Organ Preservation Surgeries on Voice Quality by Perceptual and Acoustic Methods

Objective: As a result of partial or total surgical removal of the larynx due to larynx cancer, there are several aspects of patient's life that are altered, such as the anatomical, physiological, psychological, and social aspects.One of the key elements that affect the quality of life of postoperative patients in organ-preserving surgeries is the vocal function.This study is designed as a prospective case-controlled study aimed at comparing the degree of dysphonia occurring after the implementation of different conservational laryngeal surgery types.The voice quality of the study group (n=49) consisting of the individuals who underwent endolaryngeal laser surgery, vertical partial laryngectomy, supraglottic laryngectomy, and supracricoid partial laryngectomy has been compared with the voice quality of healthy control group (n=20) individuals.Methods: After receiving the patient history, evaluations were made, including perceptual analysis, videolaryngoscopic examination, and acoustic analysis.For all evaluations, the control group and the study group findings were compared.Results: According to the perceptual and acoustic analysis scores, the supraglottic laryngectomy subjects had the closest findings to the normal voice quality, whereas the supracricoid partial laryngectomy group was the most distant among surgery groups.There were no significant differences between the endolaryngeal laser surgery and vertical partial laryngectomy participants.The supraglottic compression parameter was found to be worse in supracricoid partial laryngectomy compared to supraglottic laryngectomy and endolaryngeal laser surgery. Conclusion:Although the findings of the acoustic analysis and perceptual voice evaluation results obtained in this study are generally consistent with the literature, the present study differs in that it compared four different partial surgical procedures with a versatile voice evaluation.Limitations to this study are not considering different reconstruction techniques and no subgroups equal in number.
The Role of Social Factors in Students’ Entry to Open and Distance Universities of Iran

Background: Higher education has a great influence on the growth and development of societies.Several social factors depend on public demand for higher education.Objectives: The purpose of this research is to identify the most important social factors affecting the registration of students at Payam-e-Noor University (PNU).Methods: Two methods were used in order to achieve the research goal.In the first part, an analytical documentary method was used to extract the indicators.In the second part, the least squares regression model, was used for data Undergraduate students were studied at PNU in 2001 -2014. Results:The results of the research showed that the total population of the country (0.146; P = 0.048) and the high education budget (0.294, P = 0.075) had a positive and significant effect on enrollment at PNU.Total state budget (-0.016,P = 0.582) and the number of secondary school students (-4.241,P = 0.329) had a negative impact on student entrance to PNU.Conclusions: Total state population and higher education budget had a considerable impact on the student population in PNU.
Rasgele Orman Yönteminde Eksik Veri Probleminin İncelenmesi

Random Forest is an ensemble method that combines many trees constructed from bootstrap samples of the original data.Random Forest is used for both classification and regression and provides many advantages such as having a high accuracy, calculating a generalization error, determining the important variables and outliers, performing supervised and unsupervised learning and imputing missing values with an algorithm based on proximity matrix.In this study, we aimed to compare the proximity based imputation method of Random Forest with k nearest neighbor imputation prior to fitting.Therefore, simulation studies were performed for a classification problem under various scenarios including different percentage of missing values, number of neighbors and correlation structures between predictor variables.The results showed that for highly correlated structures proximity matrix based imputation method should be used meanwhile k nearest neighbor imputation method should be preferred for low and medium correlated structures.
A Framework for Discovering Frequent Event Graphs from Uncertain Event-based Spatio-temporal Data

The aim of this paper is to discuss a novel framework designed for discovering frequent event graphs from uncertain spatio-temporal data. We consider the problem of discovering hidden relations between event types and their set of uncertain spatio-temporal instances. For that purpose, we designed the following data mining framework: microclustering of uncertain instances, generating set of possible worlds according to the possible worlds semantic technique, creating a microclustering index for each world, generating a set of event graphs from created microclusters and defining apriori based algorithm mining frequent event graphs (EventGraph Miner). To the best of our knowledge this is the first approach to discover hidden patterns from event-type spatio-temporal data when dataset contains uncertain instances. While the paper does not present experimental results for the proposed framework, it presents its potential for futher studies in the topic.
Design and packaging of a compact entangled-photon source for space quantum key distribution

Quantum Key Distribution (QKD) directly exploits the quantum phenomenon of entanglement to allow the secure sharing of a cryptographic key for information encoding. The current generation of QKD devices typically operate over dedicated and expensive private ‘dark fiber’ networks, where they are limited in transmission range to 200-300km due to the lack of quantum repeaters. This paper is concerned with an alternative approach that can lift this range limit by exploiting QKD over free-space links between satellites. Typically, commercial QKD systems rely on phase encoding of information on single photons, and more recently on continuously variable schemes with more powerful lasers. However, these protocols are not suitable for communications through atmosphere. On the other hand, QKD by polarization-entanglement holds great promise for satellite-based QKD encoded communications links if the entangledphoton source can be packaged in a compact, robust and commercially-viable form. This paper will describe the development and packaging of an entangled-photon source utilizing space-qualified telecoms packaging techniques, resulting in a compact device that targets satellite deployment. The key design choices that impact performance in a space environment will be discussed and the results of device characterization in the laboratory environment will be shared.
Innovation in practices to develop technical skills in science

This chapter presents the change in science education teaching and learning practices aimed at developing student content and procedural knowledge: memorising rules and facts, using formulas, practising, watching teachers conducting an experiment and doing it oneself, etc. The change within countries is presented as an increase or decrease in the share of students exposed to the practice. The percentage point change is also expressed as a standardised effect size in the final table.
Selection of 'K' in K-means clustering using GA and VMA

The K-means algorithm is the most widely used partitional clustering algorithms. In spite of several advances in K-means clustering algorithm, it suffers in some drawbacks like initial cluster centres, stuck in local optima etc. The initial guessing of cluster centres lead to the bad clustering results in K-means and this is one of the major drawbacks of K-means algorithm. In this paper, a new strategy is proposed where we have blended K-means algorithm with genetic algorithm (GA) and volume metric algorithm (VMA) to predict the best value of initial cluster centres, which is not in the case of only K-means algorithm. The paper concludes with the analysis of the results of using the proposed measure to determine the number of clusters for the K-means algorithm for different well-known datasets from UCI machine learning repository.
Developing Interactive Multimedia, Material Rule of Simple Past Tense Early Childhood Education Programs STKIP Kumala Metro Lampung

The aims of the research are: (1) to describe the condition and potency of current learning on the basic material Simple Past tense, (2) to produce teaching learning materials Compact Disc (CD) interactive multimedia which is integrated with basic competence in the form of procedural text with manuals and tips, (3) to analyze the effectiveness, (4) to find efficiency, and (5) to find attractiveness of the program.The method of the research used research and development and it was conducted at one semester students STKIP KUMALA Data were collected through observation, questionnaires and tests. Analyze data uses descriptive and Gain test. The conclusions of research are; (1) STKIP KUMALA has the potency of using IT, tools and infrastructure of computer, teaching material to support the teaching process, (2) the process produced the product through lector program, (3) The teaching and learning process utilizing interactive multimedia teaching material is more effective, shown by N-Gain score 0.71, (4) after using interactive multimedia, the teaching and learning process can save 90 minutes compared to the previous lesson, (5) learning using interactive multimedia interesting, in organizing strategy (87.00%), in terms of delivery (84,97%), and in terms of program management strategies to obtain optimal learning results (85.04%).
Near-Optimal Algorithms for Shortest Paths in Weighted Unit-Disk Graphs.

We revisit a classical graph-theoretic problem, the single-source shortest-path (SSSP) problem, in weighted unit-disk graphs. We first propose an exact (and deterministic) algorithm which solves the problem in O(n log^2 n) time using linear space, where n is the number of the vertices of the graph. This significantly improves the previous deterministic algorithm by Cabello and Jejcic [CGTA'15] which uses O(n^{1+delta}) time and O(n^{1+delta}) space (for any small constant delta>0) and the previous randomized algorithm by Kaplan et al. [SODA'17] which uses O(n log^{12+o(1)} n) expected time and O(n log^3 n) space. More specifically, we show that if the 2D offline insertion-only (additively-)weighted nearest-neighbor problem with k operations (i.e., insertions and queries) can be solved in f(k) time, then the SSSP problem in weighted unit-disk graphs can be solved in O(n log n+f(n)) time. Using the same framework with some new ideas, we also obtain a (1+epsilon)-approximate algorithm for the problem, using O(n log n + n log^2(1/epsilon)) time and linear space. This improves the previous (1+epsilon)-approximate algorithm by Chan and Skrepetos [SoCG'18] which uses O((1/epsilon)^2 n log n) time and O((1/epsilon)^2 n) space. Because of the Omega(n log n)-time lower bound of the problem (even when approximation is allowed), both of our algorithms are almost optimal.
Societies Consortium on Sexual Harassment

CSA NewsVolume 64, Issue 3 p. 20-21 CEO's Message Societies Consortium on Sexual Harassment Ellen Bergfeld, Ellen Bergfeld CEO of ASA, CSSA, and SSSA ebergfeld@sciencesocieties.org 608-268-4979 Search for more papers by this author Ellen Bergfeld, Ellen Bergfeld CEO of ASA, CSSA, and SSSA ebergfeld@sciencesocieties.org 608-268-4979 Search for more papers by this author First published: 14 March 2019 https://doi.org/10.2134/csa2019.64.0323Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume64, Issue3March 2019Pages 20-21 RelatedInformation
Quantum dynamics of single-photon detection using functionalized quantum transport electronic channels

Single photon detectors have historically consisted of macroscopic-sized materials but recent experimental and theoretical progress suggests new approaches based on nanoscale and molecular electronics. Here we present a theoretical study of photodetection in a system composed of a quantum electronic transport channel functionalized by a photon absorber. Notably, the photon field, absorption process, transduction mechanism, and measurement process are all treated as part of one fully-coupled quantum system, with explicit interactions. Using non-equilibrium, time-dependent quantum transport simulations, we reveal the unique temporal signatures of the single photon detection process, and show that the system can be described using optical Bloch equations, with a new non-linearity as a consequence of time-dependent detuning caused by the backaction from the transport channel via the dynamical Stark effect. We compute the photodetector signal-to-noise ratio and demonstrate that single photon detection at high count rate is possible for realistic parameters by exploiting a novel non-equilibrium control of backaction.