Reviewerly/exHarmony huggingface dataset:
Profiling Fraud Committed by Public Sector Employees: Evidence From the Malaysian Media Reporting

Fraud cases such as bribery, misuse of power, and misappropriation of assets have been reported among the public sector employees (PSE) in Malaysia. Incidents of fraud cases tarnish the image of public sector institutions which uphold high integrity and accountability to the public at large. The main platform to the public in highlighting the fraud cases among the public sector’s employees is the media. It is the public rights to be informed on how the authorities managed the public assets, and whether these employees have misused their responsibilities. To date, there is no profiling on the fraud committed by the public sector servants have been exposed to the public, thus the public is not aware of how serious and extensive the fraud have been committed. Such exposure may force the involved agencies to monitor their employees’ activities stringently, and utilize effective preventive measures to prevent such events to recur. This study investigated the type and frequency of media reporting on fraud among the PSE reported by the mainstream newspapers in Malaysia. The study also revealed the type of media reporting on fraud according to agencies and the states where the fraud cases took place. To achieve the objective of this study, a qualitative approach by content analysis over fraud cases reported online through websites of the respective mainstream newspaper agencies were scrutinized. The findings show that the English medium newspapers reported more fraud cases involving the PSE compared to the Bahasa Malaysia medium newspaper. The highest media reporting on fraud was fraud cases involving Sabah Water Department (SWD), while the highest fraud cases were reported among the state government, followed by the federal government and local authority.
E-Learning Usability Evaluation Menggunakan Fuzzy Logic dan Usulan Alternatif Desain Interaktif Learning Management System (LMS) Chamilo

E-Learning as well as learning media in general needs to be evaluated to find out and measure how much effectiveness, efficiency and user satisfaction is for the quality of the overall learning process. One effort that can be done to find out and evaluate the quality of learning is to use usability evaluation. Usability measurements require data derived from questionnaires presented using a Likert scale. The data illustrates the perceptions of users who have uncertainties because they are very subjective so they have the potential to cause misinterpretations. Fuzzy logic can be used to evaluate e-Learning reusability because fuzzy logic has the advantage of resolving a problem that contains uncertainty / ambiguity, which in this case is in accordance with the context of usability problems that are often presented in natural languages that have uncertainties, such as "how effective? "," How efficient? "And" how much user satisfaction. By using the Mamdani model Fuzzy Inference an increase in system usability with a score of 3.06 with a membership level of 0.9961 in the Moderate Usability stack. With the application of fuzzy variables and fuzzy rules, the process of evaluating system usability can be done with natural language that is easier to understand.
Differential Technique of Training on the Basis of Diagnostics of Students' Learning Capabilities

An author's differential technique of training has been developed, which presupposes the identification of individual typological differences of students (learning capabilities) and the development on this basis of strategies for organizing interaction between the teacher and the learner (student).Differential technique includes the following components: invariant (heuristic algorithmic prescription) and variable (learning strategies for five typological groups of students).The effective implementation of the differential technology is provided by a set of diagnostic training facilities with computer support, aimed at training the teacher and at ensuring the learning process.
MType: A Magnetic Field-based Typing System on the Hand for Around-Device Interaction

Smart wearable devices have become pervasive as they are portable and intelligent. The popular method to interact with it is touch-screen, which is error-prone and cumbersome due to its limited size. There are a few innovative works designing a virtual dial plate on the hand back, which need special-purpose sensors or microphones which may suffer from privacy leak. We propose MType, a system only employs sensors already built in the commercial-off-the-shelf (COTS) device with a magnetic ring to expand the interaction space between users and wearable devices. The core idea is to leverage the gravity sensor, linear accelerometer and magnetometer embedded in the standard smartwatch to detect gestures, capture input events and locate keystrokes on the opisthenar and palm. Besides, MType designs a runtime adaptation mechanism to handle the cold start problem and adapt to the variations over the time of usage. We implement MType on the COTS smartwatch and our extensive experiments in different scenarios show that the average accuracy of keystroke localization can reach 93% with a small size initial training set (3 samples for each key) at a low sampling rate (51Hz). Furthermore, when turning on the runtime adaptation mechanism and enlarging the training set, the accuracy can achieve 98%.
Inferring Users’ Usage Patterns for Drug Abuse Surveillance

Inferring drug usage patterns includes age of drug abuse and intention of rehabilitation, which is of much importance for drug abuse surveillance. The challenges are how to mine patterns from posts and interaction relationships between users. In this paper, we propose a novel drug usage pattern inference method, which improves the inference accuracy by integrating the semantic features and interaction relationships effectively. Experimental results on a real-world dataset demonstrate the efficacy of the proposed method.
Perkembangan Simulasi Korosi – Sebuah Ulasan Ringkas

Corrosion is metal loss due to interaction with the surrounding environment. The consequences of corrosion are so damaging that they can have an impact on human casualties. A report from NACE in 2002 has shown that corrosion losses in the United States was about 3.1% of Gross Domestic Product (GDP). This figure was expected to increase in 2016 to over 6.2% of GDP. Overall, the losses caused by corrosion have reached 3-4% of the GDP of the industrialized countries. The numbers are very large and therefore, corrosion control are very important to be implemented. In efforts to control corrosion, research in the area has been widely conducted. Experimental research has played a very important role. However, the development of simulations in the world of corrosion is also very promising. Corrosion simulations are developed based on numerical methods. The commonly used numerical method is the boundary element method (BEM). In subsequent developments, the optimization method has also been used in the case of inverse analysis such as corrosion detection. This paper presents briefly the development of corrosion simulation which has been performed by many researchers in efforts to solve various corrosion cases.
IMPLEMENTASI ASSOCIATION RULE MINING UNTUK MENENTUKAN MENU MAKANAN DENGAN ALGORITMA APRIORI

Warung Miso Pamatang is a Warung located at Jln. Sudirman No.36, Kel. Teladan, West Siantar, Pematangsiantar City, North Sumatra. This stall is a simple building that looks like a building of an ancient house, the term is like a traditional house. Warung Miso Pamatang (WMP) provides a menu book as a medium for visitors to choose an ordered menu item that lists food and beverage items. The database holds all data related to the activities of consumer purchase transaction data. therefore the writer uses this transaction data using datamining. By using Datamining the Association Rule Mining method, the stored data can be reviewed and processed so that it gets new information. By finding this new information, use the Association Rule Mining method to find combinations of food items and beverage items. Association Rule Mining conducts mining on sales transaction data recorded on the payment receipt printed by the cash register at a certain time period. In conducting Association Rule Mining, the author uses the FIN algorithm. FIN algorithm is a frequent itemset algorithm that uses a novel data structure in the form of nodesets.From some of the descriptions that have been obtained from the results of the discussion in the Implementation of the Mining Rule Association to determine the food menu with the Apriori Algorithm (Case Study of Warung Miso Pamatang, pematangsiantar) can help the owner of the shop where the Warung Miso Pematang owner knows the menu what foods are most often ordered by consumers and easier to see patterns of consumer purchases. With that also the owner of this stall knows which food ingredients should be prepared more to make the food menu that is most in demand by consumers, so that the work carried out runs effectively and efficiently.
Paradigm Shifts in Cryptographic Engineering

The papers in this special section identify paradigm shifts in cryptographic engineering. Modern cryptography is almost five decades old, and we have seen some interesting breakthroughs throughout its relatively young history. These include the engineering foundations of symmetric key cryptography and block ciphers in particular (like the DES and the AES), the discovery of public-key cryptography, protocols for secure computations for general and specific tasks using interactions among parties and tools like homomorphic encryption (this line of work has been enhancing the use of cryptography beyond secure messaging into secure computing).
Comparative Statistical Study on Delhi and Nepals Geological and Seismographic Conditions

An earthquake is movement of Earth's crust resulting from the release of built up potential energy between two stuck tectonic plates. This study is based on the seismological history of the regions and geological information which provides earthquake catalogues. Delhi being one of highly populated capital of India lying in Zone 4 in earthquake zoning pattern, having heavy and congested infrastructures. A series of destructive earthquakes struck in Nepal on April 25, 2015 and May 12, 2015, thousands of lives were losses and a massive loss happened in the earthquake. Infrastructure which is mainly responsiblefor earthquake disaster rather than earthquake itself, so demand of time is that they have to be modified accordingly.This study gives a review of earthquake statistics, efforts for earthquake mitigation, risk management in Nepal and Delhi.
PENGEMBANGAN BLENDED LEARNING BERBASIS MOODLE (STUDI KASUS DI UNIVERSITAS ISLAM RADEN RAHMAT MALANG)

E-learning is a learning method that uses the Internet, Intranet or other computer network media to deliver teaching materials to students so as to provide flexibility from the user side both lecturers and students. The weakness of e-learning is the lack of interaction between students and lecturers. If student motivation is weak, then the possibility of failure is high. From the results of identification, the problems that occur at Unira Malang at this time are the low interest of students to read the text book. In addition, some Unira Malang students are teachers and employees, so attendance is low. These problems are the foundation for researchers to develop e-learning portals to support the application of blended learning methods, namely a combination of lectures through e-learning and face-to-face lectures. The method used is the method of waterfall software development, where it describes a systematic and sequential approach to software development, starting with the specification of user needs then continuing through the stages of planning (planning), modeling (modeling), construction (construction) , testing and submission of systems to customers. E-learning is designed and implemented using Moodle's Learning Management System (LMS), which is an open source e-learning software under the GNU license that supports the implementation of blended learning. In addition to Moodle for desktops, moodle mobile has also been developed which is easily accessed through mobile phones of students and lecturers. Testing is done with the black box method, which is observing the results of execution through test data and functional checking of software. The test results show that all functions can work well, and are in accordance with the design results.
Gravitational and Electromagnetic Force Unification, Using a Statistical Analysis from a Signature of Supernova Explosions

Unification of gravitational and electromagnetic interactions was done using statistical method.Cosmic ray intensity as a signature from supernova explosions was used to carry out some estimation.These primary cosmic rays are charged particles with an accelerating mechanism, probably electromagnetic; and because their charge is what interacts with matter and produces the effects that we can easily see here on earth.We estimated the values of the electromagnetic interaction and gravitational force of interaction of the source using previous known relations.We were able to obtain a regression equation; with a positive and strong correlation coefficient.F a depicts the gravitational interaction and U maa is the electromagnetic interaction.The results suggestively indicate that gravitational and electromagnetic interactions are related.The result indicates that moving charges and moving masses provide an analogy of gravitational and electromagnetic fields, which support the concept of a gravito-magnetic force.It has solved to some extend the speculations about the development in an attempt to unify the interactions of particles; and even to incorporate gravity in the "theory of everything".Thus, the unification of forces using the explosion mechanism and gravitational waves in core-collapse supernovae has become a reality.
Guides: Borrow and Request Materials: Borrowing Policies

Borrowing UNCSA materials, lending policies, and billing; Purchase Requests and Interlibrary Loan.
Survey of Drug Use and Crime in Nigerian Libraries: A Study of Public and Academic Libraries in Akwa Ibom State.

Drug use is a menacing problem currently affecting every aspect of Nigeria"s national life.The clandestine nature of many drug use behaviours-may provide suitable conditions for the development of relative ethnographies, and one of such is the library environment as a secret hideout for drug abuse.Considering the seclusive nature of every library complex, the present study investigated, through a survey, the possible existence and prevalence of drug use network in selected public libraries in Akwa Ibom State, Nigeria.Participants were library users and patrons, including students, library workers and other public users.Results indicate that negligible (low) level of drug use was reported in the library with corresponding low level of related crime.There were also other indicators of drug use comparing respondents" reports under several demographic factors including gender, education, marital status of users, residential status of users, recent history of drug use in the library, estimated age of users, estimated financial cost of drug use as well as indices of crimes committed in the library.It was however not clear if reported crimes, which are usual day to day occurrences associated with the library, could in any way be linked to library drug use.Recommendations were made concerning the need and urgency to provide public sensitization on the dangers of drug use not only in the library but also in general, and the need to prevent its consequences through improved security measures in our academic and public facilities.
Research on Author Name Disambiguation Based on Fusion Features and Semantic Fingerprints

Abstract Author name disambiguation has been a challenging problem in many applications. In order to promote researches to solve name disambiguation, Aminer launched the Open Academic Data Challenge 2018 jointly with Chinese Association for Artificial Intelligence and China Knowledge Centre for Engineering and Technology. Aminer is a scholar-cantered academic search and mining platform covering more than 200 million papers and more than 100 million scholars in various academic fields. Our team proposed a name disambiguation method based on fusion features and semantic fingerprint technique to participate in the competition. The method identified authors with same names through organization feature and co-author feature at first, and then it solves ambiguity names by way of semantic fingerprints which are 128-bit binary vector generated from textual features of papers by Simhash algorithm. Our method scored 0.609 on the verification set and 0.879 on the test set ranking first in the final submission.
Awareness of the Competencies of Korean Teachers at Affiliated University Institutions

Journal of the International Network for Korean Language and Culture 16-2, 231-254. The purpose of this study was to investigate the competencies for Korean teachers at university institutions, and the teachers’ awareness of these competencies. Three research problems were identified: first, what were the core competencies required to teach Korean at university institutions? Second, what were the differences in the awareness of pre-service teachers, teachers, and supervising teachers? Third, what were the differences in the recognition of pre-service teachers and teachers regarding the need for competencies? During the research, a survey was conducted with 60 pre-service teachers, 146 teachers, and 32 supervising teachers. As a result, the importance and order of priority of 20 competencies were obtained, and the differences in the awareness of the competencies among the teacher groups were identified. The supervising teachers considered each competency more important than the teachers, especially when they had high expectations for communication with students, cooperation with fellow teachers, and a sense of belonging in the institutions. In addition, the teachers thought that they should be better equipped with each of the competencies, while the pre-service teachers lacked such recognition, which indicated that they did not fully understand the circumstances. Based on such results, several significant implications were developed. (Ewha Womans University)
Vision Based Vehicles Detection for Intelligence Transportation Systems

Research in advanced driver help machine (ADAS) is a vital step towards accomplishing the intention of the autonomous smart automobile. ADAS is the machine to help the driver inside the using technique due to the fact maximum road injuries took place due to human blunders. Vehicle detection and distance estimation is a crucial solution for ADAS. This paper aims to reduce traffic accidents on the road using computer vision technologies and to implement the driver assistance system. In this paper, firstly, this system inputs the video and segments the videos as the frames. After segmenting the images, vehicle detection results are represented. In the experiments, own datasets are created by capturing videos in Nay Pyi Taw, Myanmar and detection results are described.
Estimate of the Rate of Approximation by Images of Operators of Abel-Poisson Type of Some Special Classes of Functions

The properties of Abel−Poisson type operators, which have a wide range of applications in various fields of scientific research are studied. Special attention is paid to approximation and differential properties of operators of Abel−Poisson type. In particular, an estimate was obtained for the rate of approximation by the images of operators of Abel−Poisson type for functions having a given majorant of the type of the second modulus of continuity of the r-th derivative by the Vallée-Poussin sum of (n, 2n) order in the integral metric Lp(D). For further consideration of differential properties of operators of Abel−Poisson type, we present the definitions of classes of functions that are a generalization of classes of differentiable functions of S.M. Nikolskiy. Operators of the Abel−Poisson type are one of the main that are used in real and complex analysis and mathematical physics, and their images, which are differentiable functions, are often accepted as the solutions of known boundary value problems. Therefore, the result obtained in the paper can be used to study the boundary properties of operators of Abel−Poisson type and is adjoint to similar results of Ya.S. Bugrov. In addition, it is possible to use the described properties of these operators in the theory of dynamic game problems, which is especially important nowadays, for example, to find stationary targets that have crashed and are in practically inaccessible places, when developing computer search systems and monitoring moving objects, in the analysis and modeling of group interaction between moving objects. Such tasks often arise in the maintenance of sea and air transport.
Pemanfaatan Augmented Reality Sebagai Media Promosi Pada Katalog Menu Produk Ice Cream Arlecchino Gelato Berbasis Android

Arlecchino Gelato shop in containing the catalog menu offerings are still using the product with a menu navigation manual so thick and the few meeting room table. Thus making comfort and lessincrease consumer appeal. Lack of consumer appeal due to the way the promotion and application of the menu is still monotone which uses a thick manual and menu book can only be viewed from one angle only. The other thing is time, the customer in selecting the type of ice cream tend to be long, because in choosing ice cream customers often ask about the form of ice cream and toppings than selected. It will be a little time-consuming, because the waiter can receive another customer. In this thesis, the researcher tried to analyze the problem issues that exist. Researchers used qualitative research methods to get the data correct, accurate and relevant. Using multimedia software development methods SDLC. Perform the design concept, design, material collecting, perancagan user interfaces and UML design. The resulting application is Augmented Reality applications Arlecchino, which is an AR application to provide an overview as well as a media campaign rather than a menu of ice cream Arlecchino gelato to customers in 3D in order to simplify, clarify, shorten the time of service and improve customer appeal against a menu of ice cream in Arlecchino Gelato Shop . Keywords : application, android, Augmented Reality, 3D (three dimension), ice cream, Arlecchino Gelato