Reviewerly/exHarmony huggingface dataset:
BST-MRPAS: Binary Search Tree based Multi Replica for Public Cloud Auditing System

Data integrity and storage efficiency are two essential needs for cloud storage.Cloud computing has emerged as a long-dreamt vision of the utility computing paradigm that provides reliable and resilient infrastructure for users to remotely store data and use on-demand applications and services.Currently, many individuals and organizations mitigate the burden of local data storage and reduce the maintenance cost by outsourcing data to the cloud.However, the outsourced data is not always trustworthy due to the loss of physical control and possession over the data.With the growing awareness of data privacy, more and more cloud users choose to encrypt their sensitive data before outsourcing them to the cloud.Therefore, in order to resolve the issues in cryptographic security a new methodology is required to develop.That provides the data owner and data management with efficient.Thus, the proposed solution incorporates the TF-IDF for calculating frequency of each word of text data and performing indexing on selected words.In this paper, the investigation is done about the outsourced data and their sensitivity and security issues.In this, a mechanism is proposed for public cloud data security by means of BST-MRPAS i.e.Binary Search Tree based Multi Replica for Public Cloud Auditing System for the end user applications.Additionally for providing end user trust and security management the upload, download and Update services are provided.
Percepção do usuário com alteração vascular sobre a educação em saúde como instrumento de autonomia

Objective: The study’s purpose has been to analyze how the patients bearing vascular dysfunctions realize the healthy education in the process of personal care autonomy. Methods: It is a descriptive-explanatory study with a qualitative approach, which was carried out with 12 healthcare users bearing vascular dysfunctions. The users were under treatment in a multiprofessional ambulatory from a University Hospital localized at Rio Grande do Sul State. Data were collected over the period from August to November 2016, using a semi-structured interview. Subsequently, the data were transcripted and analyzed through the Thematic Analysis as proposed by Minayo. Results: From data analysis, the following two categories emerged: Trust in the interdisciplinary team and Accountability from the healthcare users and their relatives during the care process. Conclusions: The healthcare users have favorably noticed the health education actions. Horizontality and dialogic practices are important for the empowerment and accountability of the healthcare users
ANALISIS HASIL UJIAN NASIONAL BAHASA INGGRIS SMA DAN PENGEMBANGAN MODEL PENINGKATAN MUTU PEMBELAJARAN BAHASA INGGRIS DI PROPINSI NUSA TENGGARA BARAT

Abstract. This research aims at (a) mapping of the results of National Examinantion of Senior High Schools in Mataram City, West Lombok Regency and North Lombok Regency, (b) finding out the sources of possible problems, (c) providing recommendation for solutions, and (d) designing solution models. Data are collected in two levels: for English National Examination mapping, all 52 schools are analyzed; while for finding out the sources of problems and recommendation, only 12 schools involved as samples, the selection of which employ purposive quota sampling technique, by considering types of schools (government and private), location (city or country), achievement/rank in national Exam (high or low). The data are collected using triangulation techniques such as documentary, questionnaire for schools and for teachers, observation, probing test, and focus group discussion (FGD). The collected data are then analyzed qualitatively and quantitatively. From the analysis, it is concluded that (i) the mastery of English subject tends to increase from 2008 to 2009 and 2010; (ii) There are at least 10 indicators on Listening and 14 indicators on Reading whose achievement is under 60% and regarded as problematic indicators to the students for 3 years; (iii) Factors causing those problems are KTSP and 8 National Standards of Education in most schools have not been implemented and fulfilled optimally, caused by various factors; (iv) From the analysis of factors influencing the improvement of quality at SMAs, one of the major problems is teachers capability in relation to other Standards (Content, Process, Assessment, Facilities and Teachers Development). Solving teachers’ problems are expected to solve other problems; (v) It is, therefore, that in order to improve the quality of education in Senior High Schools in the targeted regions, the solution model offered is the empowerment of English teachers at the targeted regions.Keywords: National Exam, Senior High School, solution recommendation
Performance Analysis of Sorting Process with Different Sampling Strategies

Sorting data is one of the most important problems that play an important rule in many applications in operations research, computer science and many other applications. Many sorting algorithms are well studied but the problem is not to find a way or algorithm to sort elements, but to find an efficiently way to sort elements and do the job. The output is a stream of data in time and it is a sorted data array. We are interested in this flow of data to estaplish a smart technique to sort elements as well as efficient complexity. For the performance of such algorithms, there has been little research on their stochastic behavior and mathematical properties such existance and convergence properties. In this paper we study the mathematical behavior of some different versions sorting algorithms in the case when the size of the input is very large. This work also discuss the corresponding running time using some different strategies in terms of number of comparisons and swaps. Here, we use a nice approach to show the existence of partial sorting process via the weighted branching process. This approach was inspired by the methods used for the analysis of Quickselect and Quichsort in the standard cases, where fixed point equations on the Cadlag space were considered for the first time.
EVALUASI PEMAKAIAN BAHASA INDONESIA DALAM KARYA ILMIAH DI PERGURUAN TINGGI NEGERI MEDAN

This research is a normative research about evaluation language used in scietific works (thesis) at state universities in Medan. This research aims to create the used of standardized and welformed Indonesian language at university students, even at state or private universities in Medan with national standard for scientific works. To applicate that the book of Ejaan, Diksi, Istilah, Kalimat, dan Pernalaran is used (Moeliono et al., 2001) dan (Alwi et al., 2001). The research uses survey with descriptive qualitative and quantitave to find actual uptodate, and factual language data by doing scientific writing research at state universities in Medan. This research uses coding and directed observation techniques in using scientific writing of Indonesian language at IAIN, UNIMED, USU libraries. This choosen domain based on that the domain is assumed influencing university students language in North Sumatera. Therefore, the presented data is language phenomena and image at university student scientific language in Medan. The result of this research shows that Indonesian langugae used at thesis has many mistakes or errorness, such as spelling system, conjunction, sentence structure and interpretation, thus morphemes, dictions, and terms.
How to Assess Students’ Social Media Preferences

The authors will discuss a questionnaire they administered at their academic institutions: the University of Western Ontario in London, Ontario, Canada and the College of Staten Island, City University of New York. Their goal was to identify students’ preference for various social media (SM) tools, what kind of information students wanted to see from their academic library via SM, and similarities and differences in use of SM tools by the two student populations. Findings will be discussed briefly. They will provide an overview of the current use of SM tools by each library and compare this use to what students actually want from their library via SM. They will also include some specific successes and failures, and will provide recommendations to other libraries wishing to run a similar questionnaire.
Algorithm of global extremum search area definition for several variables function

The article is devoted to the problem of global extremum search for several variables function. A modified algorithm is developed for the search of global extremum function, based on evolutionary calculations and differing by the approach of an area development to create an initial population of agents. They developed the algorithm for the function extremum search area definition, which ultimately performs the decomposition of the research area into subsets. It is suggested to take into account the knowledge of an expert, an agent and the available group agents. Based on the available knowledge, the region is divided into three subsets with different priorities. At that, the possibility of the function extremum drift is taken into account and a separate procedure of a search area definition is implemented, taking into account the retrospective information on the drift of parameters.
Applying inductive method to improve the ability in using suffix–ing of grade xi students at MAN 1 Palu

This research aims at describing the inductive method which focuses on the problem of senior high school related to misplacing of functions of suffix –ing either in creating a sentence or comprehending a text. The population of study is the eleventh grade students of MAN 1 PALU, in which the experimental and control group consist of 25 students for each. The method used in this study is quasi-experimental research design-non-equivalent control group design. It is done in eight meetings. The variables of this research are inductive method and ability in using suffix -ing. The samples of this research are students of grade XI IPS 2 and IPS 3, selected through purposive sampling technique. Based on the results of the study, it is proved that applying inductive method has overcome the students’ problem. It has affected students’ attention, understanding, and achievement. It is found that first, there are 18 students (72%) who are motivated to learn English. Then, 6.5 is higher than (2.012). It means that Ho is rejected and Hα is accepted. Finally, applying inductive method affects the ability in using suffix –ing of grade XI students at MAN 1 PALU.
No-Platforming and Safe Spaces: Should Universities Censor More (Or Less) Speech than the Law Requires?

How should higher education respond to legally mandated limits on hateful, discriminatory, or provocative speech? Should public universities fortify government rules in the name of equal dignity for vulnerable groups, by imposing even further restrictions of their own? Or should they oppose such restrictions in the name of free speech? Or should they do neither, seeking neither amplification nor repeal, instead simply joining in whatever the government status quo happens to be, as they would do with most other background legal rules? This article advocates the second position: through a brief examination of ‘no-platforming’ and ‘safe space’ polices, it is argued that, within fully-fledged democracies, viewpoint-selective censorship is always indefensible for higher education. Examples are drawn from high-profile controversies involving far-right speakers as well as pro- and anti-Israel speech. Viewpoint-based censorship generates one of two scenarios, neither of which coheres with the mission of higher education. One the one hand, no-platformers’ declared principles could never be applied with ethical coherence without becoming so broad as to require massive censorship. On the other hand, if those principles are to apply only rarely, then they lose internal consistency and become outright ad hoc impositions of campus decision-makers’ own political preferences.
St\"ackel transform of Lax equations

We construct Lax pairs for a wide class of Stackel systems by applying the multi-parameter Stackel transform to Lax pairs of a suitably chosen systems from the seed class. For a given Stackel system, the obtained set of non-equivalent Lax pairs is parametrized by an arbitrary function.
INFLUENCIA DEL USO EXCESIVO DE LAS REDES SOCIALES EN EL RENDIMIENTO ACADÉMICO DE LOS ESTUDIANTES UNIVERSITARIOS.

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The Impact of Financial Sector Development on Economic Growth in the Middle East and North Africa

This paper investigates the impact of financial sector development on the economic growth and the causality relationship between economic growth and financial sector development. The sample of the study included 11 Middle Eastern and North African countries over the period from 1980 to 2009. Using both static and dynamic techniques of estimation, the empirical results demonstrated that most indicators of financial sector development had a positive and significant impact on economic growth. Thus, this result provides evidence supporting the “demand-leading” hypothesis, which implies that a country can speed up the development of its financial sector by pursuing policies that enhance growth in the real sector. These results emphasize the immense need for reforming the financial sector in order to foster the regulatory environment, such as access to credit which, in turn, will have ample ramifications on the countries of the region.
Cyber Laws and Cyber Security : The Jurisprudence and Judicature

With the advancement and use of internet, the number of users have increased manifold. People are using the internet for their daily needs, financial transactions, networking etc. This poses a risk to them if the applications and networks that they are using are not secure enough. They are prone to financial frauds and cyber attacks of various kinds. In this light, it becomes important to have a legal framework to address growing cyber crimes. This paper discusses cyber threats and the legal frameworks that exist in India to deal with the problem.
New Normal and Abnormal Red Blood Cells Features for Improved Classification

This paper focused obtaining new features for improved classification of red blood cells (RBCs). RBCs varies according to shapes, colors and sizes. Abnormal RBCs may be caused by anemia. Abnormal RBCs has great similarities among each other causing difficulties in medical diagnosis. In this work, spatial, spectral statistical features and geometrical features of RBCs are extracted from 1000 normal and abnormal RBCs. The extracted features are reduced using Principal Component Analysis (PCA) and tested with different types of machine learning algorithms for classification. Classifications were evaluated for high sensitivity, specificity, and kappa statistical parameters. The classifications yielded accuracy rates of 97.9%, 98% and 98% for discriminative (SVM), generative (RBFNN) and clustering (K-NN) algorithm respectively, which is an improvement over previous works.
Privacy Preserving Data Offloading Based on Transformation

Mobile Cloud Computing (MCC) provides a scalable solution for both storage and computation of data over the Cloud. Though offloading benefits the execution performance, it raises new challenges regarding security. Privacy leakage risks prevent users from sharing their private data with third-party services. State-of-the-art approaches used for secure data storage are cryptography based, having an overhead of key management as well as do not support computation on encrypted data on the cloud server. However, homomorphic techniques support computation on encrypted data and generate an encrypted result, are compute intensive and not advisable due to resource constraint nature of mobile devices. This paper proposes a light-weight technique for privacy-preserving data offloading to the mobile cloud servers supporting computation. Our technique offloads the data to multiple servers instead of a single server. We have performed the security analysis for correctness, secrecy and unknown shares using various similarity measures.
Implementing Searchable Encryption Schemes over Multilinear Maps

We generalize known searchable encryption schemes [8] to N-party contexts using constructions based on multilinear maps. The span of the maps used is also expanded, as the schemes we propose can make use of both prime order and composite order group contexts.
Gaussian Mixture Model Based Image Denoising with Adaptive Regularization Parameters

Recently, Gaussian mixture model have been studied extensively in image denoising, for the reason that it can better represent image prior. However, the current Gaussian mixture model based image denoising approach commonly employs global regularization parameter, therefore leading to limited denoising performance. To further enhance the performance this method, we exploit a new scheme for spatially adaptive regularization parameter selection, which utilizes scale space technique and residual image statistics to set regularization parameter value according to image details. The experiment results show that our proposed image denoising method can obtain relatively well results both in vision and the value of peak signal to noise ratio.
Analyzing Korean English Learners’ Writing Errors on the Usage of Verbs in their English Scripts

The purpose of this research was to analyze Korean EFL college students’ writing errors in using verbs on their scripts for presentation. In order to accomplish this purpose, the following research questions were constructed; 1) what types of errors they committed in their English scripts, 2) how those types of errors were different according to their English proficiency level, and 3) how those errors changed over time in terms of frequency and rate. Six students were asked to write an English script for their presentation. Data sources were from the 30 English scripts written during eight weeks of period, and pre-interview and post in-depth interview with participants. The findings of data analysis were as follows; 1) the students used awkward expressions, incorrect tense, wrong omissions, and subject-verb disagreement; 2) both higher and lower groups of students committed more substitution errors than any other types of error; and 3) the frequency and rate of students’ errors were decreased for both groups as teacher
An Exact Reformulation of Feature-Vector-based Radial-Basis-Function Networks for Graph-based Observations

Radial-basis-function networks are traditionally defined for sets of vector-based observations. In this short paper, we reformulate such networks so that they can be applied to adjacency-matrix representations of weighted, directed graphs that represent the relationships between object pairs. We re-state the sum-of-squares objective function so that it is purely dependent on entries from the adjacency matrix. From this objective function, we derive a gradient descent update for the network weights. We also derive a gradient update that simulates the repositioning of the radial basis prototypes and changes in the radial basis prototype parameters. An important property of our radial basis function networks is that they are guaranteed to yield the same responses as conventional radial-basis networks trained on a corresponding vector realization of the relationships encoded by the adjacency-matrix. Such a vector realization only needs to provably exist for this property to hold, which occurs whenever the relationships correspond to distances from some arbitrary metric applied to a latent set of vectors. We therefore completely avoid needing to actually construct vectorial realizations via multi-dimensional scaling, which ensures that the underlying relationships are totally preserved.
A Mathematical Timeline of Our Universe

We propose an unusual history of the Universe, drawing a coherent chronology from pre-big bang scenarios to the occurence of the human brain. Our math-framed account emphasizes the explanatory role of broken symmetries and topological features in physical, biological, neuroscientific and medical events.
Outsourcing Signatures of Confidential Documents

We describe an industrial case study of the application of zero-knowledge Succinct Non-interactive Argument of Knowledge techniques to enable a client to securely outsource the signature of a confidential document he owns to a digital signature provider. On the one hand, the client gets a valid standard signature of his confidential document while the signature provider learns nothing more from the document than its digest. On the other hand, the signature provider has the guarantee that the client was in possession of his message. We report implementation results to show the practicability of our ideas.
A Bayesian study of changes in volatility of Bitcoin

&lt;p&gt;This paper is aimed at studying a MS-GARCH model applied to Bitcoin. The Bayesian estimation of the model shows that Bitcoin’s volatility can be modelled using two states of volatility, high and low. The modelled volatility is not stable over time. Twenty eight periods of high volatility were found, the largest period of volatility occurred during 2013. The findings help explain what happened during these high volatility periods.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; &lt;/strong&gt;&lt;/p&gt;
A First-Order Logic for Reasoning about Knowledge and Probability

We present a first-order probabilistic epistemic logic, which allows combining operators of knowledge and probability within a group of possibly infinitely many agents. The proposed framework is the first order extension of the logic of Fagin and Halpern from (J.ACM 41:340-367,1994). We define its syntax and semantics, and prove the strong completeness property of the corresponding axiomatic system.
Determine the Relationship Between Locus of Control with Learning Outcomes in Reproductive Health Subject in the Second Semester Students of Midwifery Program Study (D. III) of Kadiri University

Learning outcome is the ability of students in doing tasks assigned by lecturers, appearance or behavior in executing its task, attitudes, methods used in doing the task. The factors that most influence the outcome of learning is Locus Of Control factor. Internal Locus of Control is the extent to which a person expects that a strengthening or the results of their behavior depends on their own behavior or personal characteristics. The purpose of this study was to determine the relationship between locus of control with learning outcomes in reproductive health subject in the second semester students of Midwifery Study Program (D. III) of FIK University of Kadiri.Research’s design used was correlational analtic research. The population of this research were all of the Midwifery student (D. III) enrolled in the second semester of University of Kediri in total of 53 students with a technique namely total of population obtained 53 sample. Research’s instrument used was questionairre. Research’s results were then analyed by using spearman rank The results of the research carried out showed that most of Locus Of Control students of D III majoring in Midwifery in the second semester of Faculty of Health Sciences University of Kadiri included in Locus Of Control Internal. The results of the analysis showed that there are average relationship and positive direction (+) between Locus of Control and most of the learning outcome of the subject of reproductive health in the students of second semester (D III) Faculty of Health Sciences of University of Kadiri year 2015. Based on the research’s results it is epected to gain more attention for more research to be carried out and study several matters affecting the process of learning-teaching so that it would be more optimal in addition to locus of control factor. Keywords : Locus of Control, Learning Results, Reproduction Health, Students