Reviewerly/exHarmony huggingface dataset:
Foreign direct investment inflow and sustainable development: Evidence from Nigeria and Ghana

Foreign investment inflow, especially foreign direct investment (FDI) is perceived to have a positive impact on the economic growth and overall development of a recipient country through diverse direct and indirect channels. It complements local investment portfolio, which is essential in the attainment of sustainable growth and development. The African economies rely on FDI inflows from the developed countries for the attainment of the much desired sustainable growth and development in the region. Though the region has recorded some impressive growth in recent times, its ability to sustain it calls for concern. This is based on the fact that one of the growth enhancing factors in the region has unfortunately slumped since 2015. Available statistical evidence reveal that much of the countries in the region have been unable to attract adequate FDI in recent years. The objective of this paper is to determine the role of FDI inflows in enhancing sustainable development in the economy of Nigeria and Ghana. This paper therefore, adopts the multiple regression analysis with Ordinary Least Square (OLS) econometric technique on a time series secondary data from 2000 to 2018 obtained from WDI. Preliminary finding implies that Ghana performs better than Nigeria on social sustainability, which is measured in terms of education and healthcare indicators. However, on environmental and economic sustainability, Nigeria fares better than Ghana. These pre-estimation findings require further empirical inquiry. This implies that a per cent increase in FDI inflow to these countries enhances economic growth and economic sustainability by 0.3 per cent. However, we are quick to indicate that the positive impact is statistically insignificant. This reveals that the difference in economic growth and economic sustainability in both countries is not accounted for by FDI and gross fixed capital formation.
INFORMATION SECURITY ONTOLOGY WITH LEAKS SCENARIOS AND INFORMATION SECURITY CULTURE

Analysis of CISS bases on many factors (attack scenarios on the system, etc.), many of which also depends not on hardware elements.Common errors and misunderstanding of the security incidents and how to react also plays an important role.So, for basic security system assessment evaluation, structure, that has determined factors and scenarios of CISS analysis for further use will greatly simplify understanding and automating processes of these evaluations.Attack's results can affect information both directly and indirectly.Usually information threats in the information system depend on the characteristics of the internal system, physical environment, staff and processed information.Threats can have as an objective component (changing the conditions of the physical environment, refusal of elements interactions) and a subjective (human errors or malicious actions), which can be accidental or intentional.Human factor crucially plays important role, because it's usually associated with the lack of or imperfect security measures, but always connected to non-compliance with security policy.In terms of information security, information has three main properties: confidentiality, integrity and availability, and threats, that lead to violation of information and/or its loss for any of the aforementioned properties, respectively are called -threats to confidentiality, integrity and availability of information.Information system analysis is a complex procedure and requires a lot of different, smaller ones.One of components of that analysis is the determination of the CISS elements.To determine these elements for information leaks scenarios in system, security staff should know possible threats to the target system and appropriate way to secure it.Proposed ontological structure can be used to determine average risk of information leakage scenarios and to determine information security culture level to specify overall formal security assessment of organization and, as such, to automate the process of determining risk evaluation.
Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM

As a method for exploiting multiple heterogeneous data, supervised treebank conversion can straightforwardly and effectively utilize linguistic knowledge contained in heterogeneous treebank. In order to efficiently and deeply encode the source-side tree, we for the first time investigate and propose to use Full-tree LSTM as a tree encoder for treebank conversion. Furthermore, the corpus weighting strategy and the concatenation with fine-tuning approach are introduced to weaken the noise contained in the converted treebank. Experimental results on two benchmark datasets with bi-tree aligned trees show that (1) the proposed Full-Tree LSTM approach is more effective than previous treebank conversion methods, (2) the corpus weighting strategy and the concatenation with fine-tuning approach are both useful for the exploitation of the noisy converted treebank, and (3) supervised treebank conversion methods can achieve higher final parsing accuracy than multi-task learning approach.
Shared-Private LSTM for Multi-domain Text Classification

Shared-private models can significantly improve the performance of cross-domain learning. These methods use a shared encoder for all domains and a private encoder for each domain. One issue is that domain-specific knowledge is separately learned, without interaction with each other. We consider tackling this problem through a shared-private LSTM (SP-LSTM), which allow domain-specific parameters to be updated on a three-dimensional recurrent neural network. The advantage of SP-LSTM is that it allows domain-private information to communicate with each other during the encoding process, and it is faster than LSTM due to the parallel mechanism. Results on text classification across 16 domains indicate that SP-LSTM outperforms state-of-the-art shared-private architecture.
Estimating Audience Engagement for Prediction: A Survey

While watching movies, an audience may express both nice and vulgar gestures (emotion) like; smiles, head-pose change, fidgeting, stretching which convey sentiment in form of engaged or disengaged during feature-length movies. Observing these behaviours using computer vision systems is a very challenging task-especially in a movie theatre environment. The movie theatre environment is dark and contains views of an audience at different scales and viewpoints. Finally, annotating audience sentiment at the frame-level is probably time-consuming task. To bypass these issues, this survey paper represents the various techniques used in facial expression detection from crowd-sourced for ratings and demonstrates its sentiment predictive capability.
Designing an Auto Cropping Application System for Fish Eye Image Using the Edge Detection Method

Indonesia is one of the largest archipelagic countries in the world with the ocean area is larger than the mainland. This potential provides a great opportunity to do research in the maritime sector. The purpose of this research is to develop the application system that can automatically recognize and separate the fisheye images using the edge detection method. By using 20 fish digital images which taken by digital camera, the application system can recognize and separate the fisheye characteristic features with a good accuracy of 90%.
Are we ready for Open Science?

Scientists are curious, skeptical and critical. They try out new avenues, including open access publishing, but they might remain skeptical in adopting Open Science fully. There is thus conservatism in the publishing process itself that is independent of who pays for the article. But who to blame for a reluctance to provide open data, transparent experimental methods, or open peer review? I will argue that the culprit is the culture of academia which includes us researchers. The culture of academia is one of illusory freedom and full of traditions. It is also everything but immune of human biases and fallacies. Familiarity and fame influence where we publish, but also how we review and edit articles. As reviewers, our explorative nature lets us request fishing expeditions. As editors, being highly skeptical and critical, we may still misunderstand that a research hypothesis can lead to various statistical hypotheses. As authors, we may feel ownership of our data, confusing source with raw data. I have experienced – as an author of a pre-registered study with open data – the request to perform dubious additional statistical tests. As reviewer, I have more than once experienced that my request for more transparency and open data got rejected by editors. And as a journal editor, I have mixed experiences with authors making their data open, but also reviewers signing their peer review.&#x0D; Yes, it is often true that open data practices during the publishing process take time. But time is saved if appropriate data management practices are implemented before data is collected. However, the culture of academia fosters permanent time constraints preventing learning new techniques and tools, and as such supporting bad habits. Incentives to mitigate the bad habits need to address the entire research process. Incentives should aim at saving time for the individual, not reshuffling who pays what and when.&#x0D; In sum, there is willingness for Open Science, but not sufficient action.
The Use of Grey Literature Review as Evidence for Software Engineering

Context: In the last years, the Grey Literature (GL) had a notable increase in interest in diverse areas of knowledge. In Software Engineering (SE), with the advance of social media, the SE practitioners are heavy consumers of GL, opposite to traditional research papers, such as the Systematic Literature Review (SLR). Problem: Despite the increase of numbers of SLRs, some researchers claim the lack of connection to the practice of SE, due to the lack of evidence derived from SE practitioners. Goal: Introduce methods and techniques to support a Grey Literature Review (GLR) in SE, aiming to approximate the literature review to the practice of SE. Method: First, we will investigate how secondary studies use GL; Second, we will employ a survey with researchers of SLRs and SE practitioners; Third, we will analyze the use of GL according to the context; Fourth, we will review the GL source in SE; Finally, we will propose a guideline to help SE researchers and practitioners to conduct the GLR. Preliminary findings: We have initiated the tertiary study conducting the manual (4,875 studies) and automatic (6,279 studies) searches. We eliminated those that were not an article, and also those were not written in English, remaining 8,019 potential studies. Currently, we are applying the inclusion and exclusion criteria.
Development of Digital Forensic Framework for Joint Heterogeneous Cloud Computing Platforms

Cloud computing technology renders the acquisition of hardware and software by the industrial institutions and academic institutions useless, as sensitive data or information are often stored in cloud service provider's data centers around the globe not on institutions local disk drives anymore.Different cloud platforms such as OpenStack, Amazon Web Service (AWS), Rackspace, Google Compute Engine (GCE) and Microsoft Azure and others, provide services to cloud-end users on a pay-as-you-go service, the users only pay cloud resources utilised (Sotiriadis & Bessis, 2015).Today, various Cloud Service Providers (CSP) aimed to interoperable clouds.The effort is to join different forms of cloud service providers, aggregated to one cloud platform (Yu, Stella, & Schueller, 2014).Some scholars also indicated broad interest in creating a cloud-of-clouds where multiple cloud service providers can gain access of resources of each other seamlessly, which we and others call the multi-cloud (Smit, Simmons, & Litoiu, 2013).The main issues with joining multiple and different configured cloud service providers are most of the cloud systems are not compatible with one another and cannot share services with other, since everyone speaks a different language(Garrison, 2010).There are no service standards that are specific to that effort of joining two or more clouds, and these standards are deployed on web browser interfaces.Some of the cloud providers use SOAP; other ones use REST as communication protocols.Each service has its specific characteristics such as authentication and security requirements (Elhozmari& Ettalbi, 2016).Cloud service providers have not taken into consideration Cloud interoperability issues and each Cloud comes with its service and interfaces for services (Toosi, Calheiros, & Buyya, 2014).Inconsistency in log formats and data representations with an individual cloud to other clouds, present challenges to a digital investigator, who needs to capture the meaning of the various fields of data in each log to perform a thorough analysis (Kent & Souppaya, 2006)."The failure of one operating system logging format to be accepted to the other logging format of operating system creates incompatibility and heterogeneity with the logging functions within clouds operating systems or network devices.This makes centralizing logging is a challenging task" (Sahoo& Chottray, 2012).With the development of this new technology of joining multiple clouds to interoperate and derive other benefits of interconnections, the intruders get unauthorized access to some resources on cloud computing servers with a malicious ego to steal services or gain access to some vital information.For example, cybercriminals are utilising existing cloud services as their infrastructure to target their victims (Alqahtany, Clarke, Furnell, & Reich, 2016).To assist in detecting malicious users and in analysing the giant clouds logs, mega clouds organisations need to deploy automated methods of converting logs with different content and formats from different individual clouds into a
The feasibility of Motion-Sensing Technology for Assessment of Functional Performance of Elderly

This study aims to investigate 1)correlation between the kinect-based system and conventional examination of physical fitness and 2)general satisfaction and acceptence for the kinect-based assessment.
The educational role of language in experiences with virtual reality

This paper focuses on developing a wider understanding of ‘the educational role of language’ in the digital age. Features of virtual reality and the relationships with diverse learning settings are closely explored in a brief literature review of VR application in education. In addition, a small qualitative case study was conducted through an online survey posted on Facebook “VR in Education” pages and groups - directed towards participants actively engaged in current issues about virtual reality in educational processes. Data included thirteen completed questionnaires from participants, from eleven different countries, that have experienced learning and/or teaching in virtual reality contexts or are focusing their work and research on issues on immersive virtual environments in education. The qualitative method of content analysis of data received through questionnaires was applied, and the results were presented through thirteen short stories of learning and/or teaching experiences and reflections on the use of virtual reality immersive technologies in the learning and teaching processes. A special focus in the analysis of these stories was directed towards the possible interconnections in learning and teaching content of other subjects through English (as a first, second or foreign language) or other languages. /Keywords: educational landscape, digital learning environments, language-learning experience, language spaces, virtual reality (VR)
Penerapan Mobile-First Design pada Antarmuka Website Profil Sekolah Menggunakan Metode Human-Centred Design (Studi Kasus: SMPN 21 Malang)

Schools can use technological advances by creating a school profile website. The school profile website can be used by schools as a promotional media and provide information. All this time, the website profile of SMPN21 Malang's school profile has been made improperly, its appearance is not attractive, and its access speed is so slow. The appearance of an unattractive school profile website and slow access speeds give the impression that SMPN21 Malang is not serious about using technology. From the problems that are owned by SMPN21 Malang, it is necessary to change the website profile of the school they have. In this research, the application of mobile-first interface design for the SMPN21 Malang school profile website was implemented using the interface development method, Human-Centered Design. Usability testing results show the usability of the prototype interface design that has been made has an average of 86.66%. While the results of testing the average access speed is 2.66 seconds.
College Management System using a Single Page Web Application

The large amount of data produced nowadays in each and every sector has created a lot of issues in maintenance and management. There is a day by day increase in the number of students every year and this has led to a lot of student data being produced every year. This has made it difficult for the educational institutes to perform various functions as simply as they used to be before. Through this paper, we propose a system which will not only help reduce the manual work load from the shoulders of the staff but also reduce the stress from over the students. Automation of various processes like the Admission process, issuing of various certificates, managing and viewing attendance as well as viewing of notices is proposed in this paper. A college management system is designed to be available over the internet which can be accessed by everyone at anytime and anywhere.
Keakuratan Materi Teks Anekdot dan Teks Prosedur Kompleks dalam Buku Teks Bahasa Indonesia SMA Kelas X Kurikulum 2013

Putri Octaviani/A310150164. ACCURACY OF ANEKDOT TEXT MATERIALS AND TEXT COMPLEX PROCEDURES IN INDONESIAN TEXT BOOKS HIGH SCHOOL X CURRICULUM CLASS X 2013. Thesis. School of Teacher Training and Education, Muhammadiyah University of Surakarta. May, 2019.The problem tested in this study is the accuracy of the material in Indonesian high school textbooks in class X Curriculum 2013. The number of textbooks available today makes teachers able to choose textbooks as one of the teaching materials used by teachers. And convenience is often the wrong choice. At this time there are many material that are not suitable and do not support the achievement of competencies specified in the curriculum. This research is included in qualitative research. The research method in this study used a qualitative descriptive method. The purpose of this study is to describe the accuracy of the material in Indonesian high school textbooks in class X 2013 curriculum. The results of this study indicate that the accuracy of Indonesian textbook high school class X 2013 curriculum published by Erlangga can adequately meet the requirements of the accuracy of the textbook content. BNSP. Some of the shortcomings found in this textbook include: (1) Not presenting a Competency Map which contains the principles students use as a reference to achieve learning goals and understand the material in each chapter so that the material delivered can be well structured . (2) Presentation of less relevant examples relating to the characteristics of background and social status, the existence of elements of sara, and not as needed. (3) Illustrations are not yet available.
The Analysis of English Eduation Abstract at the Islamic Institute of Bengkulu on the Content, Organisation and Language

AbstractTheses and journals are several kinds of writing which contain abstract. Thesis is used in educational area, especially in university, as a requirement in completing an academic degree. As one of the most important thesis part is called abstract. The use of abstract is essential in some scientific works, online research, directory, seminar, and call paper. In IAIN Bengkulu, students are obliged to write an abstract as an integral part of their theses. Because of its importance, abstract must be written using the correct form and following the rule of abstracting.This study used descriptive qualitative research. It describes how the students write an abstract based on the rule. As a result, the researcher found some errors on the students’ abstract in terms of organization, content, and language. In addition, the researcher found many grammatical errors. Students also tended to make mistake related to the standard form of abstract. Thus, the researcher knows that most of students’ abstracts still do not follow the rule of composing their abstract.
Non-native Contents Detection and Localization for Online Fashion Images

Non-native content detection is about detecting regions of contents in an image that do not belong to the original or natural contents of the image. In the online fashion market, sellers often add non-native contents to their product images in order to emphasize the features of their products and get more views. However, from the buyer&#x2019;s point of view, these excessive contents are often redundant and may interfere with the evaluation of the major contents or products in the image. In this paper, we propose two methods for detecting non-native content in online fashion images. The first one utilizes the special properties of image mosaicing and de-mosaicing where there are local correlations between pixels of an image. The second method is based on the periodic properties of interpolations which is a common process involved in the creation of forged images. Performance of the two methods are compared by testing on a dataset consisting of real images from an online fashion marketplace. The experimental results demonstrate the effectiveness of both methods.
A Critical Introduction to Metadata through Dublin Core

SpecificsOne-shot session.As a Digital Humanities Librarian with a metadata background, I frequently work with course and research projects that require knowledge of metadata standards and best practices.For most undergraduates, concepts like the CSV file format, ISO 8601 date formats, or the Getty's Art and Architecture Thesaurus are understandably foreign.It can be challenging to convey the value of these seemingly arbitrary sets of rules to students who are simply trying to complete a course assignment.And for an instructor of critical information literacy, teaching the mechanics of metadata is not sufficient.The following lesson plan is my attempt at introducing metadata principles in a way that is both critically-aware and relevant to the assignment at hand.
An Analysis LexIcal Density of Reading text in SMA Imelda Medan

&#x0D; The objectives of the study was to find out the lexical density for lexical items and the dominant kind of lexical items in reading text of the second grade of SMA IMELDA SWASTA MEDAN. This study was conducted by mixed method.This study was done by analysing ten ( 10 ) reading text from the �Bahasa Inggris � textbook. The result of analysis showed that : (1) seven texts (7) were categories medium =50% lexical density. It meant that the text was easy to understand by students and three (3) texts were low =50 % lexical density that means the text was easiest to understand in teaching reading. And there was no high lexical density that found in text, it refers there is no text that include the difficult text for students (2) the dominant kinds of lexical items that found in every text was noun ( 48.0%). It meant noun was more use in every text because noun is easy to include new word. The writer concludes that the textbook are suitable for students. The writer was suggested that the teacher can choose the appropriate teaching reading strategy to improve students� reading comprehension&#x0D; Keywords: : Lexical Density, Lexical Items, Reading Text, Textbook &#x0D; &#x0D;