Reviewerly/exHarmony huggingface dataset:
Using Machine Learning Methods to Establish Program Authorship

The subject of the article is the “coding style” concept and the main approaches to detecting the individual style of a programmer. The entire process of creating a software product from this point of view and the main features of programming style are analyzed. It emphasizes the relevance and commercial significance of the problem in terms of product support, plagiarism, work of a large developer’s community in a single repository, an evolution of developer skills. Computational stylometry issues, a possibility of using programming paradigms as an additional factor of style identification are considered. It offers the idea of creating a software tool that allows to identify the style of the author who wrote a particular program fragment and allows less experienced developers to follow the rules accepted in the major part of the repository and determined by coding style of experts, which leads the code to a uniform format that is easier to maintain and make adjustments. Globally, this stage of analyzing the original (and then the modified code) allows improving the existing algorithms for automatic synthesis of programs.
Medical Image Registration in Clinical Diagnosis

The term medical image covers a wide variety of types of images (modality), especially in medical image registration with very different perspective. In this chapter, spatial technique is approached and analyzed for providing effective clinical diagnosis. The effective conventional methods are chosen for this registration. Researchers have developed and focused this research using proven conventional methods in the respective fields of registration Affine, Demons, and Affine with B-spline. From the overall analysis, it is clear that Affine with B-Spline performs better in registration of medical images than Affine and Demons.
Big Data Ethics

Since the dawn of the Internet, the quantity of data has exponentially increased. Data have become so readily available that the battle to protect individual liberties seems increasingly challenging accepted social and ethical norms. It is time for academics and researchers to reflect on the ethical, legal, social, and political implications of big data. The ethics of big data requires urgent regulatory and policy responses. This paper provides a brief coverage of big data ethics.
Testing for Collective Statistical Significance in Climate Change Detection Studies

We examined several approaches to detecting statistical significance of trends defined on a grid, that is, on a regional scale. To this end, we introduced a novel simple procedure of significance testing based on counting signs of local trends (sign test), and comparing it with four other approaches to testing collective significance of trends (counting, extended Kendall, Walker, and FDR tests). Synthetic data were used to construct the null distributions of trend statistics and determine critical values of the tests. The application of the five tests to real datasets reveals that outcomes of the tests may differ even though trends are locally significant at the majority of the grid points.
Echoes of other worlds: sound in virtual reality

"Echoes of other worlds: sound in virtual reality." International Journal of Performance Arts and Digital Media, 15(1), pp. 122–123
ادارة الجودة الشاملة والاداء: حالات مختارة من الأردن

The current study investigated the relationship between Total Quality Management (TQM) and organizational performance by comparing different cases in private and public sectors in Jordan. The cases represented several sectors such as banking, health care management, and manufacturing. The findings suggested that TQM is a critical approach of management to achieve high performance, efficiency, and effectiveness of organizations. It showed that the field that the organization belongs to influences the types of indicators (measures) used for both TQM and performance. Though the number of cases was small, the study can be practically significant to illustrate the strong relationship between TQM and performance. Moreover, the investigated cases indicated that the TQM is critical approach to achieve the efficiency, effectiveness and performance within organizations, and showed that the specialization of the organizations influence the type of indicators used for both TQM and performance. تهدف هذه الورقة البحثية الى بحث العلاقة بين مؤشرات ادارة الجودة الشاملة ومقاييس  الاداء وذلك بمقارنة  حالات مختلفة في القطاعين العام والخاص في الأردن. شملت الحالات التي أختيرت في هذه الورقة قطاعات متعددة مثل القطاع البنكي, وادارة الخدمات الصحية, والقطاع الانتاجي. وعلى الرغم من العدد القليل من تلك الحالات, فأن هذه الدراسة يمكن ان تكون دليلا هام التبرير العلاقة القوية بين تطبيق الجودة الشاملة والأداء.
A Fully Bayesian Infinite Generative Model for Dynamic Texture Segmentation.

Generative dynamic texture models (GDTMs) are widely used for dynamic texture (DT) segmentation in the video sequences. GDTMs represent DTs as a set of linear dynamical systems (LDSs). A major limitation of these models concerns the automatic selection of a proper number of DTs. Dirichlet process mixture (DPM) models which have appeared recently as the cornerstone of the non-parametric Bayesian statistics, is an optimistic candidate toward resolving this issue. Under this motivation to resolve the aforementioned drawback, we propose a novel non-parametric fully Bayesian approach for DT segmentation, formulated on the basis of a joint DPM and GDTM construction. This interaction causes the algorithm to overcome the problem of automatic segmentation properly. We derive the Variational Bayesian Expectation-Maximization (VBEM) inference for the proposed model. Moreover, in the E-step of inference, we apply Rauch-Tung-Striebel smoother (RTSS) algorithm on Variational Bayesian LDSs. Ultimately, experiments on different video sequences are performed. Experiment results indicate that the proposed algorithm outperforms the previous methods in efficiency and accuracy noticeably.
Penerapan Metode DBSCAN dalam Memperbaiki Kinerja K-Means untuk Penggerombolan Data Tweet

Text Mining is collecting text data mining results from a computer to get information contained therein. Text data has a form of data that is not structured and difficult to analyze. The unstructured data can be used as structured data through pre-processing stages. Text data is represented as numerical data after going through the pre-processing stages using vector space model method and weighting method of inverse frequency document frequency so that it can be used for analysis. The K-Means cluster analysis is one method that can be used for unstructured data, but the K-Means method is not robust to noise. Outliers can be detected using Density Based Spatial Clustering of Application with Noise (DBSCAN) cluster analysis. Outliers obtained from DBSCAN results can be omitted in the data. Cluster analysis was carried out again after removal of outliers using the K-Means method with the same number of k clusters. Evaluation of the cluster that is used to see the goodness of the cluster results is Silhouette Coefficient (SC). The SC value of the K-Means method after removal of outliers has a significant increase of 0.21 for a small amount of data. Adding the amount of text data to cluster analysis also affects the number of clusters. This is influenced by the number of katas in a document that is given weight. The fewer katas that are given weight, the more number of clusters will be generated
OPERAS: bringing the long tail of Social Sciences and Humanities into Open Science

The paper will present OPERAS, a comprehensive infrastructure aimed at providing a pan-European infrastructure to rethink and reshape publishing, discovery and dissemination addressing the specificity and the critical issues of Social Sciences and Humanities (SSH).The paper will try to set the scene examining the status of scholarly communication, the developments of Open Access and Open Science, and the specific demands for SSH. A second part will outline how OPERAS meets these needs, taking care of all the steps of the scholarly communication cycle.OPERAS unique approach is to unite researchers, libraries and publishers in a common effort, in order to take back control over scholarly communication. Not merging nor replacing, but nurturing existing realities, OPERAS provides innovative services to bring SSH into Open Science.OPERAS is designed to elaborate effective and scalable long-term strategies for the future development of the digital infrastructure and community building needed to innovate scholarly communication in the SSH. OPERAS pervading idea of science as communication holds an immense potential for an inspiring model of Open Science with direct societal impact, based on continuous communication.
Research on the Key Techniques of Semantic Mining of Information Digest in the Field of Agricultural Major Crops Based on Deep Learning

Nowadays application scopes of deep learning research in the machine learning subfield have been gradually expanded, mainly in the field of computer vision and natural language processing. However, in the latter NLP field, there is very little semantic excavation research on agricultural literature data. This paper bases on the attempting to combine relevant paradigms of semantic mining techniques and characteristics of agricultural digest data, for the service of providing new methods and technologies of information acquisition and analysis in the agricultural information domain. Data cleaning methods and data mining experiment are mainly based on deep learning algorithms, which are Seq2Seq and attention mechanism. Finally, through qualitative evaluation and quantitative evaluation of the experimental results, which based on the ROUGE evaluation index system, the experiment shows that the semantic mining model has reached the optimal level of model evaluation in the certain range.
Implementation, Comparison and Literature Review of Spatio-Temporal and Compressed Domains Object Detection

Object detection in a moving video stream is playing a prominent role in every branch of science and research[1]. Objection detection or tracking is done by two different methods, namely, spatio-temporal domain and compressed domain. This project will deal with both the domains in order to bring out the advantages and disadvantages of each and every method in terms of complexity in computations, efficiency etc. Along with that, a detailed literature survey will also be done on the same topic. Most image and video data are stored or transmitted after compression for efficiency. Processes like pattern detection and localization typically include the extra expense of decompressing the data since most image and video processing techniques require access to the original pixel values in the spatial domain. This project performs a statistical analysis of present object detection schemes in both spatio-temporal and compressed domains. The results of multiple object detection in spatio-temporal domain are compared to those of compressed domain object detection and various evaluation results are analyzed. The comparisons will be made in the context of complexity of algorithm, efficiency and application.
The Application of Selective Image Compression Techniques

The limited available storage and bandwidth required for successful transmission of large images make image compression a key component in digital image transmission. Digital image application in various industries, such as entertainment and advertising, has brought image processing to the fore of these industries. However, the entire image processing is faced with the problem of data redundancy, which is mitigated through image compression. This is simply the art and science of reducing the number of bits/data of an image before it is transmitted and stored easily while the quality of image is maintained. Thus, through an exploratory study, this paper examines image compression as discussed in extant literature and emphasises on different methods used in image compression. The paper reviewed relevant literature from Elsevier, Emerald, IEEE, ProQuest and Google scholar databases. Specific methods are lossy and lossless techniques, which are further divided into run length encoding, and entropy encoding. In conclusion, the paper recommends compression techniques to adopt depending on the industry’s’ goals. Preferably, lossy compression is used to compress multimedia data which includes audio, video and images, while lossless compression technique is used to compress text and data files.
I-MABRUR APPLICATION BASED ON WEBSITE (CASE STUDY: PT PAKUAN JAYA SAFARI TRAVEL)

PT. Pakuan Jaya Safari Travel in its business activities there are a number of constraints faced which are still limited, namely the absence of a website-based application concerns the information of the Hajj and Umrah program to prospective pilgrims. Today the company uses stand-alone software, has not been integrated with other functions such as using the Microsoft Excel application, seeing how it works that slows down the process of managing data and information and in decision making by management. Therefore, Website-Based I-Mabrur Application with analytical methods of Performance, Information, Economics, Control, Efficiency, Service (PIECES) can overcome existing problems and improve service quality for pilgrims in the process of Hajj and Umrah activities.
STRATEGIES IN TEACHING VOCABULARY TO YOUNG LEARNERS (A DESCRIPTIVE STUDY IN KIDDOS ENGLISH SCHOOL)

Abstract Name : Aisyaranur Student No. : 11061020200001 Study Program : English Education Title :Strategies in Teaching Vocabulary to Young Learners (A Descriptive Study in Kiddos English School) Key Word : Strategies, Teaching Vocabulary, Young Learners Teaching vocabulary is one of the efforts to increase knowledge and to give a certain interest on young learner‟s vocabulary development. There are many kinds of strategies to teach vocabulary to young learners, such as the use of song, the use of picture, playing games, coloring, and storytelling. This qualitative study was to describe the strategies used in teaching English vocabulary at Kiddos English School. An observation sheet and a set of interview questions were used to collect data from the English teachers. The result of the classroom observation and the interview with the teachers using audio recording showed that there are many strategies used by the teachers in teaching vocabulary for young learners at Kiddos English School. However, the researcher found that there are three strategies used as daily classroom activity, they are the use of song, using picture and play game. In applying the strategies to young learners, the teachers need to know the characteristics of young learners.
Contrastive Analysis: Gorontalonese and English Noun Phrase

The main objective of this study is to gain an understanding of the different and similar features of Noun Phrase in the vernacular language of Indonesia; Gorontalonese, with English. Gorontalonese is one of Indonesia's vernaculars that is rarely investigated, including the structure of Noun Phrases. Comparative study of Gorontalonese and English is also very rare. This study presents the similarities and the differences of Noun Phrase structures of Gorontalonese and English. To achieve this purpose, the structure of the Noun Phrases in both of the languages have been provided. They were taken from newspapers, relevant text-books, online journals and other data sources. The theories about Gorontalonese are very limited, because there was only handful of researchers. The findings of this study will be helpful for further researchers to develop their arguments when conducting their study in the same field. This study has supported the theory, in which the order and structure of Noun Phrases in both languages are distinct, while Gorontalonese is considered as a head-last language and English is a head-initial language. In Gorontalonese, the head of the Noun Phrase is always placed at beginning of the phrase followed by the other supporting elements, which helps in the description of the head noun. On the other hand, the Noun Phrase in English follows the supporting elements, which is placed in the beginning of the Noun Phrase, which helps in the description of the head Noun Phrase.
Groundwater vulnerability Mapping of Jordanian phosphate mining area based on Phosphate concentration and GIS: Al-Abiad mine as a case study

The present study uses DRASTIC model on a national rate and assess the groundwater contamination through phosphate release from the mining activities in south of Jordan (Al-Abiad area) using GIS environment. It is found that about 58.6% of the area was considered to be of moderate vulnerability, while high and low vulnerability was found to be at 0.6% and 42.8% respectively of the total area. On the other hand, investigation of infiltration process of selected pollutants (soluble phosphate and chloride ions) through the surface layer of study area has confirmed the vulnerability of the groundwater quality toward such as pollutants. Chemical analysis of the effluent washing water from the phosphate beneficiation process showed high concentration of P2O5 (TCP), Cl− and SiO2 comparing with influent washing water. Currently, the effluent water from Al-Abiad and other Jordanian phosphate mining industry is discharged into the desert without treatment or any attempt for reuse.
TRAJECTORY TRACKING CONTROL WITH SPECIFIED POSTURE FOR PLANAR FOUR-LINK REAL UNDERACTUATED MANIPULATOR

A fuzzy control strategy is proposed for a planar four-linkactive-passive-active-active (APAA) real underactuated manipulator(RUM) to realize the control objective, which is to make the RUMtrack at a given trajectory with a speciﬁed posture.
Exploiting User Signals and Stochastic Models to Improve Information Retrieval Systems and Evaluation

Progress and innovation are driven by experiments, but experimentation is useless without an objective evaluation measure that allow researchers to detect the improvements and identify the successful strategies. Due to the experimental nature of Information Retrieval (IR), accurately interpreting the result of a system in terms of user satisfaction is fundamental to push the research in the correct direction. Therefore, measuring systems effectiveness continues to be an active area of research and discussion in the scientific community. It is also the case of this thesis, whose leitmotiv is an investigation of effectiveness measures exploited in different aspects of IR.
Sonic Publics | Introduction and Audio Transcript

Below is a full transcript of the audio introduction to our Special Section on Sonic Publics. In lieu of a traditional written introduction, we opted to interview the authors who contributed pieces to this section, and to present those interviews in a format that, in its audibility, reflects the common theme of the publications themselves. The audio quality varies from interview to interview due to logistics, circumstances, and the affordances of sound technology, so we hope this written transcript will augment the recording, as well as make it more broadly accessible and searchable.
Continuation-and-environment-passing style translations: a focus on call-by-need

The call-by-need evaluation strategy for the $λ$-calculus is an evaluation strategy that lazily evaluates arguments only if needed, and if so, shares computations across all places where it is needed. To implement this evaluation strategy, abstract machines require some form of global environment. While abstract machines usually lead to a better understanding of the flow of control during the execution, easing in particular the definition of continuation-passing style translations, the case of machines with global environments turns out to be much more subtle. The main purpose of this paper is to understand how to type a continuation-and-environment-passing style translations, that it to say how to soundly translate a classical calculus with environment into a calculus that does not have these features. To this end, we focus on a sequent calculus presentation of a call-by-need $λ$-calculus with classical control for which Ariola et. al already defined an untyped translation [5] and which we equipped with a system of simple types in a previous paper [32]. We present here a type system for the target language of their translation, which highlights a variant of Kripke forcing related to the environment-passing part of the translation. Finally, we show that our construction naturally handles the cases of call-by-name and call-by-value calculi with environment, encompassing in particular the Milner Abstract Machine, a machine with global environments for the call-by-name $λ$-calculus.
Learning about the unobservable : The role of attitudes, measurement errors, norms and perceptions in user behaviour.

Unobservable factors are important to understand user behaviour. Moreover, they contain information to help design services that willsolve today’s challenges. Yet, we have barely scratched the surf ...
Dimensões da qualidade de vida afetadas negativamente em pessoas vivendo com diabetes mellitus

Objective: To evaluate the quality of life related to health of people with type 2 diabetes mellitus served by Primary Health. Methods: Descriptive transversal study performed with 50 diabetic patients. Data were collected through the application of a form for socioeconomic and clinical information and the Medical Outcomes Study 36-item Short Form Health Survey (SF-36). Data were expressed as absolute and relative frequencies and central tendency and dispersion steps. Results: The highest average of the SF-36 scores were found in the areas “Functional Capacity, Vitality and Social Aspects”, while the lowest were concentrated in areas “General State of Health and Physical Appearance.” Conclusion: The functionality of daily activities and perception of health were the main factors committed by the type 2 diabetes mellitus
A Model for Automatic Partial Evaluation of SQL Queries

In Problem-Based e-Learning (PBeL) systems for database, SQL is one of the key learning topics especially at the undergraduate level. Typically database PBL systems score SQL answers by comparing the result-set returned by the answered SQL expression and the correct SQL expression stored in the system for the respective problem. This approach results in full scores for fully correct SQL answers and zero for partially correct answers. In this paper we introduce a conceptual model for evaluating partially correct SQL answers. Our model compares an SQL answer with a correct answer for the respective problem and calculates a score based on the syntactic similarity between the two SQL expressions. Experimentation with the model on different data-sets shows promising results.
A Study About Searching Behavior of Scientific Data User Based on Educational Background and Retrieval Capability

As a new information carrier, the scientific data carries a lot of information. People who work in scientific research are more or less likely to search scientific data for work. We investigate the retrieval behavior of researchers in the process of searching data through questionnaires. The survey included the selection of searching data channels, using the clues and criterion in the process of retrieving data and some difficulties in the retrieval process. The results show that the retrieval behavior of scientific data users is influenced by educational background and retrieval ability. The education determines the breadth and depth of the data requirements, and the retrieval ability determines the access to data and the amount of data to use. So, in the process of designing data retrieval system, it is necessary to meet the needs of users in different cognitive contexts.
Tending Goats and Microprocessors Xingzhe Liu: Uncovering Sichuan's Remote Bitcoin Mines

A new technological industry is stirring deep in rural China: Bitcoin mines operated by hydroelectric power from mountain streams. Photojournalist Xingzhe Liu took the long hike to discover their operators’ working conditions. Guest-Editor Liam Young relays the dark and gruelling tale of what he found.