Reviewerly/exHarmony huggingface dataset:
Experimental violation of n-locality in a star quantum network

The launch of a satellite capable of distributing entanglement through long distances and the first loophole-free violation of Bell inequalities are milestones indicating a clear path for the establishment of quantum networks. However, nonlocality in networks with independent entanglement sources has only been experimentally verified in simple tripartite networks, via the violation of bilocality inequalities. Here, by using a scalable photonic platform, we implement star-shaped quantum networks consisting of up to five distant nodes and four independent entanglement sources. We exploit this platform to violate the chained n-locality inequality and thus witness, in a device-independent way, the emergence of nonlocal correlations among the nodes of the implemented networks. These results open new perspectives for quantum information processing applications in the relevant regime where the observed correlations are compatible with standard local hidden variable models but are non-classical if the independence of the sources is taken into account. New types of nonlocal correlations can arise in quantum networks, but experiments have not been done for more than two independent sources. Here, the authors violate a chained n-locality inequality in a network with five nodes and four independent sources, relying only on single-qubit measurements.
IMPROVING STUDENTS’ ABILITY IN WRITING DESCRIPTIVE TEXT OF FIRST GRADE STUDENTS AT MTs. DDI KEL. BARU TOLITOLI THROUGH PICTURE

The objective of this research is to find out whether the application of picture effective to improve students’ ability in writing descriptive text. It is a pre-experimental research. The study is the first grade of MTs. DDI Kel. Baru Tolitoli. It is conduct class (VII A). The data are obtain through a pre-test and post-test. The writer use SPSS 16.0 program to analyze the data collection. The result of the analysis show that the application of picture contribute greatly to the students in writing descriptive text. The mean score of  pre-test is 65.70 while in the post-test improve up to 79.46. Moreover, the Minimum Mastery Criterion of English lesson is 75 (seventy-five). Then the data of  both test are analyze by using T-test, and the result show that the T-count value is 10.839 greater than T-table value is 2.045. It can be inferred that the application of picture is very effective to improve students’ ability in writing descriptive text. Key words: picture, writing, descriptive text.
TECHNOLOGY AND HEALTHCARE OPPORTUNITIES IN EMERGING MARKETS

Healthcare in emerging markets faces a variety of constraints: public funding; available and reliable communications infrastructure; political stability and a skilled workforce; to name a few. Such constraints mean there are two discernible trends in healthcare technology in emerging markets: the steady evolution of e-health initiatives and frontier technologies being used in projects to meet urgent service delivery needs. As developed economies grapple with the implications of penetrating artificial intelligence in healthcare, many governments and non-government organisations in emerging markets continue to utilise more fundamental technologies like SMS text messages to save lives. This chapter describes the landscape of healthcare technology and provides examples of their respective application in emerging markets.
IMPLEMENTASI SISTEM PAKAR DALAM MEMPREDIKSI POTENSI SIFAT BULLYING SESEORANG MENGGUNAKAN METODE FORWARD CHAINING

Technology developments are growing rapidly and give benefits in various aspects of human’s life, especially in education. The technological development in education can be used to predict bullying. This research is conducted because the society still underestimates the case of bullying, using manual way to know the potency of bullying, and some schools in Indonesia still have not given any test to predict the bullying among the students. The researcher aimed to design, construct and implement the expert system.The researcher uses system theory, experts, expert system, web, research method and bullying theory. In order to predict the potential of bullying, this research implements the forward chaining method.The data is collected by observing and interviewing counseling teacher from Santo Yoseph Senior High School, and by reading books, journals and websites as references to support this research. The researcher implements prototype model approach for this research.This Application is created in order to predict the potential of bullying in Santo Yoseph Senior High School students based on the phenomenon and calculation from the Counseling Teacher by using Forward Chaining method, and explaining the application process in the form of Use Case Diagram, use case description, sequence diagram, class diagram, entity relationship diagram and site map.The Application development is expected to be useful for Counseling Teacher in Santo Yoseph Senior High School to predict the potential of bullying among the students.Keyword : Forward chaining, bullying, expert system.
THE SEDIMENTARY IRONSTONE DEPOSITS IN THE WESTERN DESERT OF IRAQ: AN OVERVIEW

Two main sedimentary ironstone deposits are investigated in the Western Desert of Iraq; the Ga'ara and the Hussainiyat deposits. The former is found within the fining-upwards successions of the Ga'ara Formation (Permocarboniferous) and the latter within the Clastic Unit of the Hussainiyat Formation (Lower Jurassic). Both deposits are continental, deposited in fluvial systems (meandering rivers represented by channels and floodplain deposits with lakes and marshes, with lateritic characteristics. They are mostly pisolitic-oolitic, concretionary, fragmentary and massive in texture and composed of goethite and hematite in association with kaolinite and quartz. The source rocks are highly weathered igneous, metamorphic and older sedimentary rocks of the Arabian Shield, transported by rivers to the depositional sites. The ironstone resources are limited (~80 m.t.) and the grade is low (<40% Fe2O3) with high contents of kaolinite and quartz impurities. Two open pit mines in the Ga'ara and Hussainiyat deposits have been operating since the early nineties to supply the cement industry in Iraq.
Evolutionary Deep Learning Using GP with Convolution Operators

Evolutionary deep learning is a research field aiming at using evolutionary computation techniques to address existing issues such as requiring rich expertise to design the model architectures in deep learning. On image classification tasks, the most popular methods are convolutional neural networks and the main operations are convolution operations. With a flexible representation, GP can automatically learn image features using many different operators. This chapter develops a new GP-based approach with convolution operators to achieve feature learning in image classification. The performance of this approach will be examined on several different image classification datasets of varying difficulty and compared with a number of state-of-the-art algorithms. The results show the effectiveness of the proposed approach and further analysis shows the potential interpretability of the evolved trees/programs.
Managing Crowd Sourcing paradigm through Efficient blockchain technology

Crowdsourcing paradigm has been getting increasingly popular in recent years. The crowdsourcing platform allows for the integration of a large number of workers in achieving complex goals. This is highly useful in the current scenario where unemployability looms large which is a major problem in many countries. Crowdsourcing allows effective utilization and management of the workforce which can be fruitful for both the worker as well as the requestor. One of the most essential problems in this platform is the low level of trust or security as well as low accountability. These factors limit the usability of the approach as well as the security that can be highly detrimental. Therefore, the approach stipulated in this article defines an innovative addition of the distributed blockchain framework to enhance the security of the approach significantly. The proposed methodology utilizes Entropy Estimation and Shannon information gain along with Decision Tree and the Blockchain distributed framework to achieve effective and secure implementation of the crowdsourcing paradigm. The experimental results conclude that the presented technique has performed exceptionally well in comparison with conventional methodologies.
LibGuides: ACRL, IPEDS, and National Surveys: WMS Reports for Annual Surveys

Support guides and tutorials for PALNI libraries completing the ACRL, IPEDS, and other national surveys.
SISTEM PAKAR IDENTIFIKASI PENYAKIT PERNAFASAN MENGGUNAKAN METODE CERTAINTY FACTOR (STUDI KASUS: RS.KURNIA CILEGON )

Expert System is an information system that contains knowledge from experts so that it can be used for consultation. The knowledge of the experts in this system is used as a basis by the Expert System to answer the question (consultation). As a manifestation of the participation of the world of health in the development of technology, Expert System is also created to identify respiratory illness in facilitating the work of doctors in identifying the patient's illness. With Certainty Factor method, Expert System created can obtain 70% or more identification accuracy.
A New Node Optimization Algorithm of Wireless Sensor Network Based on Graph Signal

Graph is a great model that can efficiently deal with structural data and has excellent research value and application value in our life. Graph theory and signal processing have been perfectly combined to form graph signal processing theory, which provides a theory for studying high-dimensional and structural signals. The wireless sensor network (WSN) is a typical data transmission network based on a graph structure. Because of redundant sensor nodes in WSN, it results in large energy consumption and slow transmission rate. To solve this problem, we propose a new algorithm to optimize the number of nodes by using graph signals processing and compressed sensing (CS) theory. The new node optimization algorithm can not only reduce energy consumption but also increase the transmission rate.
The application of liquid membrane waterproofing system for water tank work at kolej Pasir Salak / Nur Fatin Syamimi Mohd Afandi

Waterproofing is defined as the process of making an object or structure waterproof or water-resistant so that it will remains unaffected by water or resisting the ingress of water under specified conditions. Waterproofing is used in reference to building structures such as basement, flat roofs and wet areas. Modern items also can be waterproofed by applying water-repellent coatings. There are several components that will contribute to waterproofing system such as drainage composites that direct water away from structures, tie-ins between facade and foundation membranes. There are two types of waterproofing which is liquid membrane waterproofing and sheet mats waterproofing. In this case study, the topic chosen is The Application of Liquid Membrane Waterproofing System For Water Tank Work at Kolej Pasir Salak UiTM Seri Iskandar. In the application works, types of waterproofing used is liquid membrane. The liquid membrane used is a cement-based materials which is Sika Top Seal 107 Part A and Part B. The Sika Top Seal 107 Part A and Part B will be mixed very well to produce a good waterproofing. During the process of application works, there are several problems occurred such as narrow space and poor workmanship.
Linked data for the perplexed librarian

The new Linked Data for the Perplexed Librarian succeeds in demonstrating the strength and potential of linked data without overwhelming the reader with technical jargon or confusingly out of touch...
LibGuides: ACRL, IPEDS, and National Surveys: COUNTER Reports for Surveys

Support guides and tutorials for PALNI libraries completing the ACRL, IPEDS, and other national surveys.
Perancangan Sistem Informasi Honor Mengajar Guru Di Sma Al Maâ€™soem

The payroll system is a function of human resource management. Its main role is to reward teachers in the form of salaries in exchange for contributions to schools and their performance.The purpose and purpose of this report is to minimize the risk of duplication and deletion of data, make it easier to present reports so that they can be generated automatically, make it easier for TU staff to calculate the teaching honorarium of teachers at SMA Al Ma'soem.The method used in system design is SDLC (System Development Life Cycle). Where in its application using the waterfall model, namely the Waterfall method is a sequential software development process, where progress is seen as continuing to flow downward (like a waterfall) through the phases of planning, modeling, implementation (construction), and testing. The system modeling uses Flow maps, Data Flow Diagrams, Structure Charts, Data Dictionary and ERD.Thus, the Information System for Teaching Honor Teachers at Al Ma'soem High School is expected to assist in processing data and processing teacher payrolls.
MENGELOLA JURNAL ILMIAH ELEKTRONIK DAN MEMPERTAHANKAN AKREDITASI TANTANGAN KOMPETENSI PUSTAKAWAN DI ERA DISRUPSI INFORMASI

Journals management requires an effective and efficient management to reach its best performance based on national accreditation standard and international indexing institutions. Berkala Ilmu Perpustakaan dan Informasi (BIP), managed by Main Library Universitas Gadjah Mada, has consistently applied instruments and criteria required by the Ministry of Research and Higher Education Regulation Number 9 2018 on Scientific Journal Accreditation Guidelines. BIP is required maintain the quality and journal accreditation with number 51 / E / KPT / 2017 which is valid for five years (2017-2022). This study uses descriptive analysis in understanding the management and publication for academic e-journal, and to review the benefits and the obstacles. In this context, BIP management has improved the quality of governance by adding features of Reviewer, Submission, Editor, and Revision Procedures as well as links to social media Facebook and WhatsApp. Besides, the BIP management plays an active role as editors, reviewers and resource persons in collaborating with related parties, attending seminars, mentoring OJS and FGD, and accelerating accreditation. This study tries to offer a strategy for managing open access journals so that conceptually can be used in understanding the development of continuous scientific journals and maintaining the quality of publications.
Publisher Correction: Algorithmic and human prediction of success in human collaboration from visual features

An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Blockchain and Business Analysis: Making the Case

Abstract Blockchain technology is here to stay, so should your business be taking advantage of its capabilities? asks Martin Maya, Director of Amatis Training.
GP with Image Descriptors for Learning Global and Local Features

Existing image descriptors are well-developed and quite effective for dealing with certain image variations such as rotation, illumination and scale variations. These image descriptors can be used to extract two types of image features, i.e., global features and local features. But domain expertise is often needed to determine what features are extracted. This chapter proposes a new feature learning approach using GP to automatically select and combine existing image descriptors to extract rich and discriminative global and/or local features for different image classification tasks. To achieve this, a new program structure, a new function set with five representative image descriptors, and a new terminal set are developed. The new approach achieves better performance than many baseline methods on eight benchmark datasets of varying difficulty. Further analysis shows the potential interpretability of the solutions evolved by the new approach.
An Approach for the Financial Viability Assessment of Cloud Migration Projects

Organisations moving legacy applications to the public cloud are increasingly having to reassess their decisions post-migration due to budget overruns resulting from insufficient planning and limited understanding of the constraints with the public cloud operating model.To date, there has been limited research on the assessment of public cloud suitability for legacy applications, which can lead to incomplete analysis and inappropriate platform choices and high-risk cost estimates.To address these shortcomings, we extend our previously proposed Cloud Decision Framework by incorporating a generalised Financial Viability Assessment process and methodology to help decision-makers make more efficient and effective migration decisions.The framework includes an automated approach for financial viability assessment using predefined application sizes via a Parametric Estimation Model.The proposed approach is validated by application to two real-world, anonymised case studies with results indicating that it is more likely to reduce budget overruns and increase productivity compared to current approaches.
Building a Local Framework for Assessing the Credibility of Websites

Website credibility, which refers to the believability of a website and its presented content, plays an important role in consumers’ successful online shopping and their satisfaction with the process. The purpose of this research is to (1) investigate the e-commerce credibility factors affecting the perception of users in Saudi Arabia; (2) to investigate whether the variation of credibility factors in Saudi Arabia e-commerce websites influences users’ performance; (3) to investigate whether the novice consumer’s perception differs from the expert consumer’s; and lastly, (4) to investigate whether a website’s credibility level affects consumers’ purchase behaviour. The investigation is conducted using two credibility evaluation methods: heuristic evaluation and performance measurement. This study adopts Fogg’s 10 Stanford credibility guidelines as the starting point for heuristic evaluation. Moreover, in performance measurement, two measurements are used—that is, the amount of time taken to finish the task and the total number of clicks to finish the task—to obtain the data. Frequency analysis of the comments and a one-way ANOVA test are used to establish the results. Three e-commerce websites in Saudi Arabia are selected. The findings show that Fogg’s 10 Stanford credibility guidelines can be implemented in Saudi Arabian e-commerce with minor modification and expansion by adding reputation, endorsement, security, and service diversity guidelines. Another important finding is that professional website design plays a vital role in users’ first impressions of websites, as usability is the most-mentioned credibility factor. Lastly, the results of this study indicate the existence of a relationship between the credibility level of an e-commerce website and its users’ performance and purchase behaviour. This study contributes by providing a set of credibility guidelines associated with specific criteria that can assist in improving the future of e-commerce in Saudi Arabia. Further, it presents a general understanding about and insights into consumers’ performance and their perceptions of e-commerce websites’ credibility.
RACIAL DISCRIMINATION AS SEEN IN STOCKETT’S THE HELP

ABSTRACT: This study aims to reveal about racial discrimination from White race to Black race as seen in Kathryn Stockett’s The Help, by applying qualitative research in which the data are gathered in the form of words and quotation from the novel, internet and other books to substantiate the research. The writers collect the data using two kind of sources, primary and the secondary sources. Primary source is taken from the novel itself and the secondary sources are taken from books internet and other relevant data. In analyzing the data, the writers are using mimetic apporoach which is an imitation, reflection, or representation of Human life. The result of this research shows how the racial discrimination occurs in South America particularly in Jackson, Mississipi. This novel represents how the situation back then in the era of jim crow law, where all of the aspect and accomodation in both black and white are separated for equality but it does not shows the equal treatment for black race. Instead the long preception of black race is inferior and dirty, it costs trauma, poverty, death, for black race. They are still receives all of those bad treats even after all of those suffers and hard-working. Also even when they have to serve the white race and fight for they own freedom. They have to fight against the rules that stand to torture them back then. Keywords: The Help, Discrimination, Black race, White race
Fuzzy Keyword Search Scheme on an Encrypted Database in Cloud Computing Using Word Clustering

Database outsourcing in cloud computing is one of the main solutions to maintain and access a database easily without the need for large infrastructure investment. Although data owners usually trust service     providers and infrastructure providers in terms of maintainability and accessibility, but they are concerned about the privacy and confidentiality of information, and therefore prefer to keep data encrypted on cloud servers. Encrypted data is not searchable, and a solution needs to be provided by the server to search for that data. One solution is to use keyword indexing as metadata alongside the encrypted database. There are several key challenges to using these solutions: high volume of indexes, user error exposure and search speed. In this study, fuzzy keyword sets are used instead of fixed words when searching for users, and in order to reduce storage space using the keyword clustering method, appropriate fuzzy keyword sets are  selected and metadata with less production volume is used and encrypted. Using hierarchical clustering methods with specific metrics, the same keywords are placed in a cluster, and to find the desired keyword, it is not necessary to search all metadata and thus the search time is reduced. Practical results and evaluations show that the proposed method is practical, safe and efficient.
Constitutions and Blockchains:Competitive Governance of Fundamental Rule Sets

In the context of private ordering—where rule sets are relatively fluid, centrally controlled, and exist in the shadow of law and regulation—developing generalizable insights about comparatively superior governance mechanisms is difficult. I shed light on this question by characterizing cryptocurrency blockchains as a type of constitutional rule set that both defines and legitimizes the activities supported by the underlying distributed ledger technology. More specifically, I argue that cryptocurrency blockchains have led to new forms of competition in private governance, which include exit costs and citizenship rules as important competitive margins. My analysis not only identifies the choices in constitutional governance to which proposed cryptocurrency blockchain changes are analogous, but it also highlights the competitive gains expected to result from these changes. I further consider both the trade-offs in governance created by competition between cryptocurrency blockchains and the surprising ways in which these unique competitive margins may influence downstream outcomes.