Reviewerly/exHarmony huggingface dataset:
AN ANALYSIS OF POLITENESS STRATEGIES APPLIED BY THE MEMBERS OF UKM DEBAT,THE UNIVERSITY OF BENGKULU

The research is aimed at finding out the politeness strategies based on Brown and Levinson politeness strategies theory that used by the members of UKM Debat, the University of Bengkulu when practice debate. The subject of this research was the members of UKM Debat, the University of Bengkulu that consist of eight students. This research was using descriptive qualitative as the methodology and the data were collected by using transcript from video recorder and observation sheet as the instruments. The result of data analysis shows that the debaters use all of politeness strategies but they do not used all sub strategies when practice debate, which is bald on record, positive politeness strategy, negative politeness strategy, and off record. There were 28 utterances that consist of politeness strategy. The debaters mostly applied positive politeness strategy, which occurs 19 times (67,8%). Bald on record and off record occur 4 times (14,3%) and the last is negative politeness strategy which occurs 1 times (3,6%). Positive politeness strategy gets the highest position in the data because in practicing debate, all debaters have known each other and have a close relationship
Bankalarda Hile Denetimi: Merkezden Sürekli Denetimin Şube Faaliyetlerine Etkisi Üzerine Nitel Bir Araştırma

Developments in information technologies bring about a radical transformation in business models. Data is the main concept at the center of this process. Storing the data accurately and reliably, processing and analyzing is critical functions of the informatics transformation. Internal audit practices are also affected by this transformation. Today, internal audit activities are based on data analysis and display a structure called central continuous audit. In this study, it is aimed to demonstrate the contribution to the branch activities with the effect on the branch personnel of the central continuous audit, which is applied as a new internal audit approach in the banking sector. Qualitative data analysis technique was used in the research and face-to-face interviews were conducted with bank managers having internal audit origin. The data obtained from the study were subjected to content analysis using the Nvivo 11 qualitative analysis program. The findings of the research show that there are some effects on the personnel and that they provide various contributions to the branch activities through central continuous audit. This fact presents a positive contribution to the fraud prevention.
PMU59 PROVIDER NETWORK AMONG MEDICARE PATIENTS WITH MULTIPLE CHRONIC CONDITIONS

Multiple chronic conditions (MCC), defined as having two or more chronic conditions, is one of the most pressing concerns in care quality and delivery in Medicare. We constructed a national provider network using social network analysis methods to identify closely connected provider communities for patients with MCC and examine their characteristics.
Attributes revocation through ciphertext puncturation

In order to solve the difficult issue of attribute revocation in the attribute based encryption scheme, a novel method of revoking attributes through ciphertext puncturation is proposed. In this method, a ciphertext puncturation algorithm is designed and the “NOT” operator’s ability to negate attributes in the non-monotonic access policy is utilized to revoke attributes. First, a non-monotonic access policy is constructed from the attributes revocation list. Then the ciphertext is punctured with this policy using the re-randomization technique. Finally, double policies exist in the ciphertext to implement access control. Without any interaction for private key update, the private key including any revoked attributes directly loses its decryption ability due to the puncturation of the ciphertext with the non-monotonic access policy containing revoked attributes. After puncturation, the ciphertext gets forward secrecy and attribute revocation is achieved. Theoretic analysis indicates that the proposed scheme maintains the security level of the attribute based encryption scheme with non-monotonic access policy and effectively completes attributes revocation.
Multi-Channel and Fusion Encoding Strategy Based Auto Encoder Model for Video Recommendation

Recommendation techniques are widely used in many areas to deal with the information overload problem. However, the recommendation theory has suffered from the sparseness problem, which decreases the precision of the recommendation algorithms heavily. Deep learning theory has proven to be a very efficient tool to mine the latent information of data. In this paper, a novel scalable multi-channel and fusion encoding strategy-based auto encoder (MCFE-AE) model is introduced to make recommendations by deeply mining the latent features of users and video items of the data. The detail of the proposed algorithm is summarized as follows. First, the rating data that represent the users’ preference are sent to the input port of the proposed MCFE-AE model as raw input data. Second, the latent features of users and items have been deeply mined by the multi-channel and fusion encoding process of the proposed MCFE-AE model. Third, the final rating prediction result has been obtained by the decoding process of the proposed MCFE-AE model. The extensive experiments have shown the benefits of the proposed algorithm on the measure of mean absolute error (MAE) and root mean square error (RMSE) compared with the state-of-the-art algorithms. Besides, the number of channels of the MCFE-AE, the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$L_{1}$ </tex-math></inline-formula> and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$L_{2}$ </tex-math></inline-formula> regularization method, the learning rate, and the important regularization parameter <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\lambda $ </tex-math></inline-formula> have been studied thoroughly in this paper.
Hubungan Motivasi Belajar terhadap Prestasi Belajar IPA Terpadu

&#x0D; the purpose of this study was to learn that the relationship between learning motivation towards integrated science learning achievement of class VIII students. The research method used is document research. The population is all Class VIII Students Mazro'illahLubuklinggau are 61 students and the only sample of one class to be randomized is Class VIII. Tecnicquecollecution is the questioner. The data collection technique of this study used a questionnaire or questionnaire and documentation method. The correlation between the second variable (rxy) is 01,5203 (valid conversion coefficient). The question posed is motivation with learners is a = 31.65 and b = 0.77, so the regression is Y = 31.65 + 0, 77X. B value is positive, is positive learning motivation because of student results. The resulting linearity is 6.91 and the distribution is α = 0.05. Statistical value = 7.029&gt; t table 2.05. Significance (α = 0.05) and degrees of freedom are (n-2), so that the hypothesis can be used t count&gt; t table (7.029&gt; 2.05). Saint Complienced's results were 53.4% ​​and the residue was 46.6% from the others. Try learning to learn significantly with Saint Complect MTs Mazro'illah Lubuklinggau in 2016/2017.&#x0D; Keyword: Motivation, Lean Result&#x0D;
Korelasi Kemampuan Bernalar dengan Kemampuan Menyimak Kritis Debat pada Siswa Kelas X

&lt;div align="center"&gt;&lt;table width="645" border="1" cellspacing="0" cellpadding="0"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td valign="top" width="439"&gt;&lt;p&gt;&lt;strong&gt;Abstract:&lt;/strong&gt; Before practicing to debate, a debater needs to have good critical listening skill to understand the content of the debate. By listening critically to the content of the debate, debater is expected to have the right point of view and also to think critically about other arguments. In critical listening of debate, listeners think actively from oral information in debate. The critical listeners must have a logical, reasonable, and not misguided way of thinking through a valid reasoning skill so that critical listening process can be done well. The result of this research shows there is a significant correlation between reasoning skill and critical listening of debate. If reasoning skill is high, critical listening skill of debate is high. If reasoning skill is low, critical listening skill of debate is low.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Abstrak:&lt;/strong&gt; Sebelum berlatih berdebat, seorang pendebat harus memiliki keterampilan menyimak kritis yang baik untuk memahami isi debat. Dengan menyimak secara kritis isi debat, seorang yang berdebat diharapkan memiliki sudut pandang yang tepat dan juga berpikir kritis tentang argumen pihak lain. Dalam menyimak kritis debat, penyimak berpikir secara aktif dari informasi lisan dalam debat. Penyimak yang kritis harus memiliki cara berpikir logis, masuk akal, dan tidak sesat melalui kemampuan bernalar yang valid sehingga proses menyimak kritis debat dapat dilakukan dengan baik. Hasil penelitian ini menunjukkan terdapat korelasi positif yang signifikan antara kemampuan bernalar dengan kemampuan menyimak kritis debat. Jika kemampuan bernalar tinggi, kemampuan menyimak kritis debat tinggi. Jika kemampuan bernalar rendah, kemampuan menyimak kritis debat rendah.&lt;/p&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;
On Finite and Unrestricted Query Entailment beyond SQ with Number Restrictions on Transitive Roles

We study the description logic SQ with number restrictions applicable to transitive roles, extended with either nominals or inverse roles. We show tight 2EXPTIME upper bounds for unrestricted entailment of regular path queries for both extensions and finite entailment of positive existential queries for nominals. For inverses, we establish 2EXPTIME-completeness for unrestricted and finite entailment of instance queries (the latter under restriction to a single, transitive role).
An Aspect Oriented Programming Framework to Support Transparent Runtime Monitoring of Applications

Monitoring the runtime state and behavior of applications is very important to evaluate the performance of these applications and to inspect their behavior.In case of legacy applications that have been developed without monitoring capabilities, there is a real challenge to accomplish runtime state monitoring.This research redefines runtime monitoring concept, and then presents an Aspect Oriented Programming (AOP) framework to equip applications with the capabilities to monitor their runtime state transparently.The framework, called RM Framework, supports three monitoring modes; Invasive-mode, Controlled-mode/(Functionality and Attribute), and Controlledmode/Selective.The framework is applied on a Java application as a case study.The results show smooth integration between application and runtime monitoring capabilities without affecting the target application consistency.
ISLAMIC CHARACTER EDUCATION MODEL FORMING POLITENESS IN MUHAMMADIYAH 3 WARU JUNIOR HIGHSCHOOL

Ab stract Focus of this research is to describe the model of Islamic character education which is used as a basic form of politeness in Muhammadiyah 3 Waru Junior HighSchool. Character education curriculum needs to be embedded in a variety of character values and thoughts that can support students character as the next generation. This research method uses cooperative learning method. This research approach uses a qualitative approach. The results of this study are language politeness in Muhammadiyah 3 Waru Junior HighSchool influenced by Islamic character education models which has applied in the school environment. Keywords: Education Model, Character Education, Islamic Character, Politeness, Spoken Language, Cooperative Learning, Qualitative Reasearch..
Different Local Binary Operators for Texture Classification: A Comparative Study

Local Binary Patterns (LBP) have brightened up as one of the most eminent and widely studied texture descriptors.LBP has gained high acceptance due to its simplicity, high distinguishing power, and flexibility.As such, it has been deployed in several applications where it has performed well.This is why LBP is the basis for a new research direction.However, LBP has limitations that may affect its accuracy.Therefore, many descriptors based on LBP have been proposed to overcome its limitations and enhance its accuracy, such as Local Ternary Pattern (LTP), Completed Local Binary Pattern (CLBP), Completed Local Binary Count (CLBC), Completed Local Ternary Pattern (CLTP), and Wavelet Completed Local Ternary Pattern (WCLTP).This paper is focused to provide a comparative analysis by studying and evaluating the performance of LBP descriptor and five of its variants using three well-known benchmark texture datasets.Furthermore, this study also seeks to improve the role of image texture information in classification processes.Different experiments were conducted using three benchmark texture datasets which are CUReT, OuTeX and UIUC.The experimental results showed that WCLTP outperformed other texture descriptors and achieved the highest classification accuracy in all experiments.WCLTP achieved 99.35%, 96.57% and 94.80% classification accuracy with CUReT and OuTeX and UIUC respectively.
Decision Support System for Household Labor Services Selection “Best Helper” Using AHP and TOPSIS Methods

Selection of household labor services was an important aspect in families who have a lot of activity. The existence of helpful household labour services would avoid the occurrence of problems that should be caused. Types of household labour services which were often used were maids, baby sitters, elderly nurses, gardeners, and drivers. The main problem arose in the difficulty of service seekers in choosing the desired service and how to minimize the time spent. To overcome this, a decision support system was used using the Analytical Hierarchy Process (AHP) method which was used to find the criteria for each alternative weight, and ranking calculations using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. This research was implemented using PHP language with CodeIgniter framework. The result shows that the usability test obtains the average value with the system usability scale (SUS) method of 71.09%. It shows that the level of system usability is classified as good and can be accepted and used easily by the users. Meanwhile, the result of the user response test shows a percentage of 87.5%, so it can be concluded that the system belongs to good category and feasible to use.
PENERAPAN MEDIA AURORA ANIMASI 3D MAKER UNTUK MENINGKATKAN HASIL BELAJAR KOGNITIF MAHASISWA BIOLOGI IKIP BUDI UTOMO MALANG

The low understanding of students in learning the Genetics of protein synthesis material. This study aims to determine the increase in cognitive learning outcomes through Aurora media 3D Maker Animation in the Genetics course of the 2016-A Biology Education Student of IKIP Budi Utomo Malang.he research approach used is qualitative and the type of research is Classroom Action Research (CAR). The instruments used were learning tools, field notes, test questions, and documentation. Data retrieval is done by formative tests. The subject of this research is the Biology student amounts to 45 students. The results showed that the application of Aurora media to 3D Maker Animation can improve the Cognitive learning outcomes of 2016-A Biology students, with cognitive learning outcomes with classical completeness 71% to 88%. Based on these data it can be concluded that the application of Aurora media 3D Maker Animation can improve the Cognitive Learning Outcomes of 2016 Biology students IBU.
Efektifitas Penggunaan Media LCD dalam Memotivasi Belajar Peserta Didik

The purpose of this study was to determine the effectiveness of the use of LCD media in motivating learners. The research data collection technique uses several techniques, namely observation, questionnaire and interview. The data presentation step (1) data reduction, summarizes the data obtained so as to provide a clearer picture, (2) Presentation of data, the researcher displays data in the form of narrative text supported by the results of questionnaires that have been tested in the field, (3) Verification, withdrawal conclusions and verification with the aim of being able to answer the problem statement. The results of the study, each student has the desire to actively study, but many factors affect students so that it makes them lazy to learn, this is the task of the teaching staff and parents to be able to motivate. The supporting factors and obstacles to the use of LCD projectors are as follows (1) supporting factors: educators who have expertise from the implementation of training, awareness of masters towards Education, conducive and clean learning places, complete facilities and infrastructure. (2) inhibiting factors: there are still educators who have not been able to operate the technology so that they cannot use LCD media, even though there is a lack of training for teaching staff related to the presentation of interesting material, it is still difficult for educators to use new methods. Conclusion, the use of LCD media can motivate students in learning&#x0D; Keywords: Use of LCD Media, Learning Motivation, Learners
Diagnosing the Formation of Metasubject Competences among Fifth-graders

The article presents the results of the survey of 1287 students from 40 schools in the Central Administrative District (648 boys and 639 girls) and 88 students of gymnasium № 1567 in the West Administrative District of Moscow (46 boys, 42 girls) by the method of "Permutations" (author A.Z. Zak). This technique, based on a material spatially-combinatorial problems of non-academic content, comprises tasks aimed at determining the level of the formation of metasubject competences associated with the implementation of cognitive reflection (task 1), searching for ways of solving problems of exploratory nature (task 2), planning the achievement of the desired result (task 3). The data obtained show a statistically significant difference in the formation of the considered competences between the distributed general populations of schools in the CAD and the gymnasium (p &lt; 0,001) and gender differences among students of CAD schools in the ways of solving problems of exploratory nature (p &lt; 0,05), as well as the absence of gender differences among students of the gymnasium in all competences. The reliability of the method scales and their differential validity, which is understood here as the ability to identify differences in the socio-demographic factors "student category" and "gender", is statistically proven. For the first time the results reflect quantitative and qualitative characteristics of the formation of cognitive and regulatory metasubject competences of fifth-graders in solving spatially-combinatorial problems of non-academic content, and experimentally confirm the possibility of using the method of "Permutations" in general practice of national education for the assessment of the abovementioned metasubject competences.
Adaptive Job-Scheduling Algorithm based on Queuing Theory in a Hybrid Cloud Environment

To resolve the problem of unreasonable resource allocations caused by the continuous arrival of different types of jobs in a hybrid cloud environment, an adaptive job-scheduling algorithm based on queuing theory is proposed.This paper analyses job load types, and the jobs are classified according to the logistic regression method.A resource utility is used to classify the nodes in a private cloud cluster by considering the heterogeneity of the private cloud resources.Based on the job classification and the resource classification, a queuing model is established, and an adaptive genetic algorithm is used to manage the job queue's arrival rate that becomes the basis of the resource allocation.The proposed algorithm is compared with some existed similar algorithms to verify its performance in terms of job response times and throughput.
Effective protection of information systems and networks against attacks in the era of globalization

The problem of ensuring the security of networks and computer systems of transnational companies is one of the most important issues of modern computer science. In scientific centers around the world, numerous studies are carried out to ensure the security of operating systems and application programs. The aim of the work is to provide theoretical and practical knowledge related to threats, security methods and the latest trends in effective protection of networks and information systems against attacks.
Investigating Differences in Gaze and Typing Behavior Across Age Groups and Writing Genres

Typing is one of the most common activities that are undertaken on a computer. It would therefore be interesting to investigate whether it is possible to deduce characteristics of the user, such as their age or the type of the document that they are writing, just simply from typing dynamics. In this paper, we study the coordination between eye gaze and typing dynamics, or the gaze-typing behavior, of subjects who are producing original text. We focus upon the differences between different age groups (children vs elderly seniors) and different genres of writing (reminiscent, logical and creative). Using machine-learning, we achieve an accuracy of 93.5% for age detection and 61.1% for the article-category detection, using a leave-one-subject-out cross-validation evaluation, which is 44% and 28% higher than baselines.
High Satisfaction and Fair Allocation of Resources in Software-Defined Data Center Networks

This paper studies how to fairly and efficiently allocate the two limited resources in software-defined data center networks (DCNs), namely the flow table and the control channel bandwidth. The problem considers routing path selection together with allocation of flow table entries and control channel bandwidths. The objective is to maximize the satisfaction ratio for flow groups in the network in terms of the two aforementioned resources, with the routing path optimized and different fairness constraints enforced. Our approach is to aggregate individual flows into flow groups and then find the optimal routing paths and the corresponding resource allocation vectors for each flow group. We study different fairness models in this work and also include a mechanism to relax the fairness constraint, which produces a range of solutions that permits a trade-off between total demand satisfaction and fairness.