Reviewerly/exHarmony huggingface dataset:
Cloud Computing Research Profiling: Mapping Scholarly Community and Identifying Thematic Boundaries of the Field

The aim of the study was to map the scholarly community interested in research on cloud computing and to identify thematic boundaries of the field. The methodology of research profiling, representing bibliometric descriptive studies, was applied to achieve the aim of the study. Using research profiling for mapping the cloud computing field can be considered as an innovation. Although the research profiling methodology has been widely used across various subject areas, including Computer Science, Social Sciences, Engineering, Arts and Humanities, Business, Management and Accounting, and Psychology, thus far neither Scopus nor Web of Science indexed publications including the conjunction of phrases “cloud computing” and “research profiling” in their titles, keywords and abstracts. The previous important scientometric study of the research output in the field was published by Heilig and Voß in 2014. Taking into account a very dynamic growth of the field, all this indicates the research gap to be filled. The research sample is made of 14,158 publications indexed in Scopus database comprising the phrase “cloud computing” in their titles. The study was purposely limited to the title search to concentrate the attention of publications relating directly to the issue of cloud computing. Applying the quantitative approach provides an opportunity for broad scanning of subject-related literature. First, general publication profiling recognized the main contributors (countries, research intuitions, source titles and authors) to the scholarly community interested in cloud computing. Secondly, subject area profiling was applied to find how multidisciplinary is the research in the field and how the research output is distributed across subject areas. Finally, topic profiling unveiled leading topics of studies in the field and their distribution by authors, journal, subject areas and core references.
When Interaction is Valuable: Feedback, Churn and Survival on Community Question and Answer Sites: The case of Stack Exchange

Does feedback contribute to collaboration?As in most open participation and contribution platforms, churn is an issue.The highest churn and dropout rates follow the initial posting of a single answer.According to feedback theories, contributors are sensitive to feedback.Votes and comments are common feedback mechanisms in such platforms.Prior studies on the effect of these mechanisms in different platforms have produced conflicting results.This study reports a longitudinal analysis of the feedback effect on newcomer answer provider retention in five Stack Exchange communities, including over a million users and their answers.We find that feedback in the form of votes and comments provided to the first answer is strongly correlated with newcomer retention.Thus, interaction is valuable.The findings have implications for the design of Q&A websites and for testing the theory of feedback arrangements' impact on persistence.
A Complete Normal-Form Bisimilarity for State

We present a sound and complete bisimilarity for an untyped $$\lambda $$ -calculus with higher-order local references. Our relation compares values by applying them to a fresh variable, like normal-form bisimilarity, and it uses environments to account for the evolving store. We achieve completeness by a careful treatment of evaluation contexts comprising open stuck terms. This work improves over Støvring and Lassen’s incomplete environment-based normal-form bisimilarity for the $$\lambda \rho $$ -calculus, and confirms, in relatively elementary terms, Jaber and Tabareau’s result, that the state construct is discriminative enough to be characterized with a bisimilarity without any quantification over testing arguments.
Inscribing Gender: A Duoethnographic Examination of Gendered Values and Practices in Fitness Tracker Design

Using fitness trackers to generate and collect quantifiable data is a widespread practice aimed at better understanding one's health and body.The intentional design of fitness trackers as genderless or universal is predicated on masculinist design values and assumptions and does not result in "neutral" artifacts.Instead,\ ignoring gender in the design of fitness tracking devices marks a dangerous ongoing inattention to the needs, desires, lives, and life chances of women, as well as transgender and gender nonconforming persons.We utilize duoethnography, a methodology emphasizing personal narrative and dialogue, as a tool that promotes feminist reflexivity in the design and study of fitness tracking technologies.Using the Jawbone UP3 as our object of study, we present findings that illustrate the gendered physical and interface design features and discuss how these features reproduce narrow understandings of gender, health, and lived experiences.
A Multicriteria Approach to Support Task Allocation in Projects of Distributed Software Development

Organizations are increasingly investing in Distributed Software Development (DSD) over the years. A typical decision-making problem in the distributed scenario consists of deciding which team should be allocated each task. That decision takes into account a relative degree of subjectivity. That setting is suitable for applying Verbal Decision Analysis (VDA). This paper introduces an approach to support the allocation of tasks to distributed units in DSD projects, structured on the hybridisation of methods of Verbal Decision Analysis for classification and rank ordering applied to influencing factors and executing units. Firstly, a review of the literature was conducted aiming to identify the approaches to support the allocation of tasks in DSD contexts. Then, an approach was developed by applying VDA-based methods for classification and ordering. Bibliographic research and the application of surveys with professionals allowed identifying and characterising the main elements that influence task assignment in DSD projects. Afterwards, experiences were carried out in five real-world companies. In the end, the proposed approach has been submitted to the evaluation by the professionals of the participating companies and by some project management experts. The proposed approach comprises a workflow containing responsible actors and descriptions of the activities. Automated tools are also employed in automating the implementation of the approach. After applying the approach in five companies, task assignment recommendations are presented in groups for each company, according to the task type, i.e., requirements, architecture, coding, and testing, ranging from the most to the least preferable office. Results of the experiences and evaluations held during this work present evidence that the proposed approach is flexible, adaptable, and easy to understand and to use. Moreover, it helps to reduce decision subjectivity and to think of new aspects, supporting the task allocation process in DSD.
Facebook pushes networking tech: The company's Terragraph technology will soon be available in commercial gear - [News]

For years, Facebook has been developing a technology to improve the way data is organized and routed in wireless networks. Now, that technology is being integrated into commercially available 60-gigahertz small-cell base stations. And if service providers sign on, it could soon help deliver over-the-air Internet to homes and businesses around the world.
Three-wave radial shearing interferometer

We propose a simple and compact three-wave radial shearing interferometer (TWRSI). This interferometer is constructed by a Gabor zone plate (GZP) and a charge-coupled device (CCD). The nominal plane wavefront under test is diffracted by the GZP into three orders (i.e., a parallel beam, a converging spherical beam, and a diverging spherical beam) leading to an interference pattern. In the imaging plane, three beams can be considered as being the copies of the incident beam, the compressed beam, and the expanded beam, respectively. A CCD detector located in the vicinity of the GZP records this interference pattern. Wavefront can be reconstructed by a single interferogram. The experiment result shows that the proposed method is correct and accurate. This TWRSI is compact, vibration insensitive, suitable for measurement of continuous and transient wavefront.
The Role of Academic Libraries in Research Data Management: A Case in Ghanaian University Libraries

Seeking information is of the great key for both researchers and academic librarians and for that matter getting data plays a key role.The act of sharing, preserving, collecting, disseminating, and managing of data with respect to research data is of the essence in our current system of retrieving information.This has been made possible by the collaboration with information communication and technology for both researchers and academic librarians.Scholars are now producing, disseminating and storing digital data in much larger volume than the text.Management of research data is a major challenge for many universities in Ghana.In case, having access to such data is really difficult because some data are not stored in libraries.The study reveals that some academic libraries are beginning to provide frameworks for these services with some degree of success as policies are being formulated.Also, infrastructures are being set up, and library staff trained, and awareness and advocacy campaigns held with academic staff and researchers.The study seeks to explore academic librarians' perceptions of their roles and involvement in RDM support services.In view of that, the researchers used the qualitative method and gathered data using semi-structured interviews.Thematic analysis method was used to analyze the data collected.A sample of 116 librarians was targeted for the survey in the data collection process.Out of one hundred and sixteen (116), only eighty-one (81) agreed to participate.The findings reveal that academic libraries in Ghana need to improve their technical skills and competency sets through training and other capacity building program.Based on the findings recommendations were also provided which can help major Ghanaian academic libraries to improve.
Design Guidelines for Creating a Convincing User Experience with Virtual In-vehicle Assistants

This research provides guidelines for the representational and interaction design of virtual invehicle assistants.The guidelines offer a clearly structured overview about what designers have to consider while creating in-vehicle virtual assistants with a convincing user experience.The design guidelines are developed using the design science research methodology.Based on assistant requirements for a great user experience derived from the previous research literature and the results of five expert interviews, concrete guidelines for the design of invehicle virtual assistants are developed.For evaluation, the guidelines are presented to another expert and then refined based on her feedback.
Splicing Community and Software Architecture Smells in Agile Teams: An industrial Study

Software engineering nowadays largely relies on agile methods to carry out software development.In often highly distributed organizations, agile teams can develop organisational and socio-technical issues loosely defined as community smells, which reflect sub-optimal organisational configurations that bear additional project cost, a phenomenon called social debt.In this paper we look into the co-occurrence of such nasty organisational phenomena-community smells-with software architecture smells-indicators that software architectures may exhibit sub-optimal modularization structures, with consequent additional cost.We conclude that community smells can serve as a guide to steer the qualities of software architectures within agile teams.
Integrated approach to detect spam in social media networks using hybrid features

&lt;p&gt;Online social networking sites are becoming more popular amongst Internet users. The Internet users spend some amount of time on popular social networking sites like Facebook, Twitter and LinkedIn etc. Online social networks are considered to be much useful tool to the society used by Internet lovers to communicate and transmit information. These social networking platforms are useful to share information, opinions and ideas, make new friends, and create new friend groups. Social networking sites provide large amount of technical information to the users. This large amount of information in social networking sites attracts cyber criminals to misuse these sites information. These users create their own accounts and spread vulnerable information to the genuine users. This information may be advertising some product, send some malicious links etc to disturb the natural users on social sites. Spammer detection is a major problem now days in social networking sites. Previous spam detection techniques use different set of features to classify spam and non spam users. In this paper we proposed a hybrid approach which uses content based and user based features for identification of spam on Twitter network. In this hybrid approach we used decision tree induction algorithm and Bayesian network algorithm to construct a classification model. We have analysed the proposed technique on twitter dataset. Our analysis shows that our proposed methodology is better than some other existing techniques.&lt;/p&gt;
An Empirical Study on Factors related to Distributed Pair Programming

This paper reports students’ perceptions and experiences attending an object-oriented programming course in which they developed software using the Distributed Pair Programming (DPP) technique. Pair programming (PP) is typically performed on one computer, involving two programmers working collaboratively on the same code or algorithm. DPP on the other hand is performed remotely allowing programmers to collaborate from separate locations. PP started in the software industry as a powerful way to train programmers and to improve software quality. Research has shown that PP (and DPP) is also a successful approach to teach programming in academic programming courses. The main focus of PP and DPP research was PP’s effectiveness with respect to student performance and code quality, the investigation of best team formation strategies and studies of students’ attitudes. There are still limited studies concerning relationships between performance, attitudes and other critical factors. We have selected some of the most common factors which can be found in the literature: academic performance, programming experience, student confidence, feelgood factor, partner compatibility and implementation time. The main goal of this study was to investigate correlations between these attributes, while DPP was used as the main programming technique.
A Systematic Review of Security in Electronic Commerce- Threats and Frameworks

There is a remarkable scope for more streamlined living through an increase of e-platforms specially ecommerce, but this coincides with an increase in security concerns since the global market place is virtual and anonymous. Therefore, users have to blindly trust the online providers. In order to overcome this physiological barrier the eplatforms should ensure utmost security. If not the ecommerce industry is unableto perform in the market effectively. Thereby arises the need to perform a systematic review of security issues in the e-commerce industry and to discover how different frameworks address these problems. This paper aims to identifythe main security problems faced by both customers and vendors when interacting with ecommerce platforms and to evaluate general security management frameworks based on the main security areas identified.
Research on database watermarking based on Independent Component Analysis and multiple rolling

Digital watermarking is an important branch of information hiding technology research field. It is a technology that embeds identifiable data into digital works. In order to protect the copyright of digital products, the basic idea is to embed confidential information in digital products such as images, audio, and video to realize data fusion. The current digital watermarking technology is mainly concentrated in the field of multimedia information (such as images, audio, and video) and made good progress. In this article, based on the large database capacity, and much numerical data characteristics, we proposed a separate component analysis on the database watermarking method. First, this article uses a one-way hash function as the marking algorithm to determine the tuple according to the user’s given key, the tuple primary key value, and the tuple scale that needs to be marked. Then the watermark is extracted through the key, and the watermarked information is taken out in the database. The matrix is separated by the ratio Independent Component Analysis algorithm, and the watermark is used to separate the matrix. This kind of watermark information is rolled up, and the information in the original database is kept independent of each other, and the embedded watermark information is changed by the smaller carrier. The Independent Component Analysis method is used to extract the watermark image, and the ratio Independent Component Analysis method is used to solve the problem of the influence of the uncertainty of the arrangement order. The experimental results show that the proposed method has a good detection effect.
A Vectorial Approach to Genetic Programming

Among the various typologies of problems to which Genetic Programming (GP) has been applied since its origins, symbolic regression is one of the most popular. A common situation consists in the prediction of a target time series based on scalar features and other time series variables collected from multiple subjects. To manage this problem with GP data needs a panel representation where each observation corresponds to a collection on a subject at a precise time instant. However, representing data in this form may imply a loss of information: for instance, the algorithm may not be able to recognize observations belonging to the same subject and their recording order. To maintain the source of knowledge supplied by ordered sequences as time series, we propose a new approach to GP that keeps instances of the same observation together in a vector, introducing vectorial variables as terminals. This new representation allows aggregate functions in the primitive GP set, included with the purpose of describing the behaviour of vectorial variables. In this work, we perform a comparative analysis of vectorial GP (VE-GP) against standard GP (ST-GP). Experiments are conducted on different benchmark problems to highlight the advantages of this new approach.
Fully Automated Classroom Attendance System

&lt;p class="0abstract"&gt;This paper is based on study and implementation of the pilot project for customized, automated, highly secured class room management system known as JIC CMS (Jubail Industrial College Class room management System). In this research paper, the strategies, design, development and implementation of a pilot project for class room attendance management systems is explained in detail. As a pilot project, mobile app is built on Android platform using Xamarin programming. Prototype of proposed system provides high level of authentication by embedding face recognition and biometric verification together with RFID system. Though given model features are specially designed for our college needs, but this model can be modified for general usage and can be applied for all academic levels i.e. school, college, universities. Among the other features of system, one important feature is selection of system to work in smart mode in which system closes after predefined time and uploaded automatically to the web server.&lt;/p&gt;
Analysis of Segmentation Methods for Brahmi Script

&#x0D; &#x0D; &#x0D; Segmentation is an important step for developing any optical character recognition (OCR) system, which has to be redesigned for each script having, non-uniform nature/property. It is used to decompose the image into its sub-units, which act as a basis for character recognition. Brahmi is a non-cursive ancient script, in which characters are not attached to each other and have some spacing between them. This study analyses various segmentation methods for different scripts to develop the best suitable segmentation method for Brahmi. MATLAB software was used for segmentation purpose in the experiment. The sample data belongs to Brahmi script-based ‘Rumandei inscription’. In this paper, we discuss a segmentation methodology for distinct components, namely text lines, words and characters of Rumandei inscription, written in Brahmi script. For segmenting distinct components of inscription different approach were used like horizontal projection profile, vertical projection profile and Relative minima approach. This is fundamental research on an inscription based on Brahmi script, which acts as a foundation for developing a segmentation module of an OCR solution/system of similar scripts in future. Information search and retrieval is an important activity of a library. So, to ensure this support for digitised documents written in ancient script, their character recognition is mandatory through the OCR system.&#x0D; &#x0D; &#x0D;
A Novel Multispace Image Reconstruction Method for Pathological Image Classification Based on Structural Information

Pathological image classification is of great importance in various biomedical applications, such as for lesion detection, cancer subtype identification, and pathological grading. To this end, this paper proposed a novel classification framework using the multispace image reconstruction inputs and the transfer learning technology. Specifically, a multispace image reconstruction method was first developed to generate a new image containing three channels composed of gradient, gray level cooccurrence matrix (GLCM) and local binary pattern (LBP) spaces, respectively. Then, the pretrained VGG-16 net was utilized to extract the high-level semantic features of original images (RGB) and reconstructed images. Subsequently, the long short-term memory (LSTM) layer was used for feature selection and refinement while increasing its discrimination capability. Finally, the classification task was performed via the softmax classifier. Our framework was evaluated on a publicly available microscopy image dataset of IICBU malignant lymphoma. Experimental results demonstrated the performance advantages of our proposed classification framework by comparing with the related works.
Chicken feed optimization using evolution strategies and firefly algorithm

Mixing broiler chicken and layer hens feed using various feed ingredients is a difficult task. The feed must fulfill the minimum nutrient requirement and must break the constraint. Some classic approach like Pearson’s Square has been already introduced to solve this problem. However, the approaches cannot guarantee to fulfill nutrient requirements and desirable price. The two metaheuristic algorithms Evolution Strategies (ES) and Firefly Algorithms (FA) are being proposed in this paper to know how well they performed this problems. Result show that ES is perform much better compared to classic Pearson’s Square, but ES itself is outperform by FA on both cases.