Reviewerly/exHarmony huggingface dataset:
A New Approach for Fraud Detection with Artificial Intelligence

Due to the ease of use in payments, credit cards now have become one of the most preferred tools for on-site and online shopping payments. As demand for credit cards grows significantly, a wide variety of fraud approaches, such as identity fraud and phishing, emerge to steal money from credit card fraudsters. Fraud detection and prevention systems have become imperative due to the damage of both banks and their customers. The most widely used fraud detection systems now use artificial intelligence and machine learning techniques. However, these techniques are not mature enough. In this study, a new approach for credit card fraud detection with artificial intelligence is proposed. Experimental results have shown that the proposed approach may be used to detect fraud in e-commerce systems.
The Realistic Contradiction and Path Transformation between the Construction of Higher Education Governance System and Governance Capacity

The modernization of the national governance system and governance capacity has been continuously clarified from theoretical connotations to practical paths, which has pointed out the direction and put forward requirements for the modernization of the governance system and governance capacity of colleges and universities.This article uses qualitative research methods and finds that at this stage, the value connotation of higher education governance system and governance capacity building is still vague, the institutional system is in urgent need of new construction, and the power position is obviously weakened.This article proposes a multi-path transformation method such as constructing an orderly operation governance system to enhance the autonomous management capacity of colleges and universities, and building an internal and external linkage mechanism for colleges and universities to give play to the governance wisdom of multiple subjects.It is hoped that it can provide benefits for the construction of college governance systems and governance capacity for reference.
Applications of Information Theory and Factor Graphs for Machine Learning

This thesis consists of three parts. In the first part we develop a generalized information-theoretic cost function for Markov aggregation and apply it also to the co-clustering problem. In the second part we propose a new clustering algorithm, Extended Affinity Propagation, which provides both global and local perspectives of data. The third part focuses on a deeper investigation of the recently proposed idea to train deep neural networks using the Information Bottleneck principle.
Research Guides: Database Search Strategies : Links

Learn how to break down a topic into a search strategy and what database search options will help you.
Single-shot number-resolved detection of microwave photons with error mitigation

Single-photon detectors are ubiquitous and integral components of photonic quantum cryptography, communication, and computation. Many applications, however, require not only detecting the presence of any photons, but distinguishing the number present with a single shot. Here, we implement a single-shot, high-fidelity photon number-resolving detector of up to 15 microwave photons in a cavity-qubit circuit QED platform. This detector functions by measuring a series of generalized parity operators, which make up the bits in the binary decomposition of the photon number. Our protocol consists of successive, independent measurements of each bit by entangling the ancilla with the cavity, then reading out and resetting the ancilla. Photon loss and ancilla readout errors can flip one or more bits, causing nontrivial errors in the outcome, but these errors have a traceable form, which can be captured in a simple hidden Markov model. Relying on the independence of each bit measurement, we mitigate biases in ensembles of measurements, showing good agreement with the predictions of the model. The mitigation improves the average total variation distance error of Fock states from $13.5%$--$1.1%$. We also show that the mitigation is efficiently scalable to an $M$-mode system provided that the errors are independent and sufficiently small. Our work motivates the development of new algorithms that utilize single-shot, high-fidelity PNR detectors.
MENINGKATKAN KETERAMPILAN BERBICARA SISWA BELAJAR BAHASA INGGRIS MELALUI PENGGUNAAN MEDIA PEMBELAJARAN UNDANGAN ( INVITATION ) PADA SISWA KELAS VIII

The background of this study was that students were still weak in correct speaking, and students were inconsistent in pronouncing a vocabulary. This study aims to improve the speaking skills of students learning English through the use of invitation learning media for class VIII.A students of SMP Negeri 3 Muara Bungo. This type of research is a classroom action research conducted in two cycles. The results showed that the use of invitation learning media (invitation) could improve students' speaking skills with an average speaking skill of students learning English in the first cycle was 66 and the second cycle was 78
Design and Construction of Zana Robot for Modeling Human Player in Rock-paper-scissors Game using Multilayer Perceptron, Radial basis Functions and Markov Algorithms

In this paper, the implementation of artificial neural networks (multilayer perceptron [MLP] and radial base functions [RBF]) and the upgraded Markov chain model have been studied and performed to identify the human behavior patterns during rock, paper, and scissors game. The main motivation of this research is the design and construction of an intelligent robot with the ability to defeat a human opponent. MATLAB software has been used to implement intelligent algorithms. After implementing the algorithms, their effectiveness in detecting human behavior pattern has been investigated. To ensure the ideal performance of the implemented model, each player played with the desired algorithms in three different stages. The results showed that the percentage of winning computer with MLP and RBF neural networks and upgraded Markov model, on average in men and women is 59%, 76.66%, and 75%, respectively. Obtained results clearly indicate a very good performance of the RBF neural network and the upgraded Markov model in the mental modeling of the human opponent in the game of rock, paper, and scissors. In the end, the designed game has been employed in both hardware and software which include the Zana intelligent robot and a digital version with a graphical user interface design on the stand. To the best knowledge of the authors, the precision of novel presented method for determining human behavior patterns was the highest precision among all of the previous studies.
SOFT SKILLS AND HARD SKILLS AS THE BASIS FOR THE FORMATION AND DEVELOPMENT OF EMPLOYEES IN CONDITIONS OF TECHNOLOGICAL INNOVATIONS

The paper contains analysis of reasons prompting development of educational standards and curricula for higher education students in Ukraine based on the formation and development of their professional (hard skills) and supra-subject (soft skills) skills in a rapidly changing world.
Deep CNN Framework for Classification and Feature Extraction

The most important task of computer vision is not limited to classification, object detection, alignment, and tracking. Recently, convolutional neural networks (CNNs) have emerged as the most prominent techniques to achieve computer vision tasks. This chapter presents theoretical and practical aspects of CNNs using deep learning. Deep structured CNNs have simply more number of layers. Profound CNNs are utilized for classification as well as for object detection. However, this can be extended for face detection and face recognition. CNNs are similar to the conventional neural network. They both have neurons and learnable weights and biases. Every neuron is given an input, performs dot product, and performs nonlinearity. CNNs have multiple layers. Each layer receives a multidimensional array of inputs and produces the multidimensional output, which becomes input to the next layer. Hence, CNN is a sequence of multiple layers. For acquiring the best execution of such a technique, it needs to exceptionally tune the number of nodes, layers, and rates for learning. Some practical applications are included for image classification and face detection.
Aplikasi Kegiatan pada Unit Kegiatan Mahasiswa LP3I Computer Club (UKM LCC)

The development of telecommunications technology is very rapid along with the times that have reached the era of "technology in the grip". The use and utilization of information technology in this grip is needed by LCC UKM or LP3I Computer Club Student Activity Unit, where this UKM regularly holds training activities or seminars both for participants from internal campus and outside campus. But apparently the data management of participants who attended the activity was still manual, namely still using paper to record attendance of participants so there was no database of participants which caused the committee to find it difficult to contact participants who had already participated in UKM LCC activities if there were new activities. The main objective of the research is to produce an application based on Android activities to facilitate the committee in creating a participant database. The making of this application uses the scrum method so that it can make priorities in building this application as needed. The results of this study, the LCC UKM committee no longer needs to use paper for recording attendance and the participant database can be stored directly on the server.
LibGuides: Evaluating and Selecting Resources: How-To Evaluate

Use this guide to learn how to evaluate different types of resources and determine their value.
ReadyRead: App-based Supplementary Materials for Reading Comprehension

English coursebooks for senior high school do not sufficiently cover topics related to natural and social sciences, so students have to find material to supplement the books. Yet, finding digital language learning material for practicing reading on the Internet that suits their level of proficiency as well as those that fit the curriculum is not always easy. To address this common problem, the study researched and developed Readyread, a mobile application-based supplementary material for reading comprehension. Educational Design-based Research (DBR) was employed in the study. Experts review conducted during the formative evaluation stage of the product yielded constructive feedback for the refinement of the product, more specifically, those concerning material development and multimedia presentations of the app. Students who tried out the product also gave positive feedback on the use of the app. They were delighted with the multimedia assistance and features built-in app, such as videos, popped-up glossaries, games, as well as reading materials that are closely related to the topics they learn at school. They also suggested more texts be added to the apps so that they can learn more independently whenever they have the time.&#x0D; Keywords: reading comprehension, supplementary material, app-based reading platform
창조교육 교수-학습 5단계를 적용한 수학 수업 연구

In our rapidly changing society, our ability to interpret data and information in response to unpredictable changes is further emphasized. In particular, now that large and diverse types of data called big data are produced and poured, it is essential to gather necessary data, organize it, and analyze and estimate the results. Therefore, the importance of statistical education is also increasing day by day. However, students learning subjects of probability and statistics are looking at the subjects only through repetition of simple calculations. The creative education teaching-learning method that seeks to discover values and create values in harmony with the trend of the times has become more necessary. In this study, some of the statistical units of the probability and statistics subjects were reconstructed by applying creative teaching-learning 5 steps, and actual lessons were conducted based on the instructional guidance.
고장함수를 고려한 총수명주기간 계획정비 간격 최적화에 관한 연구

Planned maintenance reduces the occurrence of excessive lead times during production or transportation, and prevents large-scale accidents during equipment operation. The probability of failure(Failure-Function) during total life cycle should be considered to establish a maintenance schedule. In this study, we propose an Interval-Optimization- Maintenance. This divides the total life cycle according to the failure probability based on the Failure-Function, and performs an optimized Period-Based-Maintenance in the divided interval. The proposed model has both the convenience of scheduling and prevention of failure. And, the proposed model is a realistic model that can be applied to reality. Failure-Function was derived using the data of the Naval ship and the hierarchical Bayesian estimation method. The results of this study can be used in all industries operating equipment. It is possible to optimize the planned maintenance interval by estimating the Failure-Function of the industrial group and constructing a maintenance model.
Design of a Raspberry-pi based Wireless Adapter for Projector

Wired world is transforming to wireless and this transformation generates necessity to innovate and create the wireless means. This paper proposes a wireless adapter to convert the existing wired projector into a wireless projector without major changes to projector hardware . Based on a development of the wireless adapter, a new feature of wireless projection is possible by transferring the information without any physical medium by establishing a wireless network between the transmitter and the receiver. In this project, a development board Raspberry Pi is used as a wireless adapter replacing the existing cable connected to the projector. Its configuration is designed to build a medium between laptop and the projector using a wireless network router to host a wireless network to which the laptop and the raspberry boards are connected. This adapter is designed around a development board Raspberry Pi which hosts Broadcom system on chip BCM2835.
Creating communities of practice: learning from a UDL project to engage students with academic reading

This session builds on ongoing research conducted between the School of Education and Library Services.The first stage of our research took a technological, solution-oriented approach where we embedded accessibility tools into module Resource Lists. Inspired by UDL we sought to remove what we saw as environmental barriers and to create options for multi-modal reading that would open out reading opportunities.In practice, we found that although the environmental barrier was removed, a more challenging attitudinal barrier was thrown up in its place, namely teaching staff’s lack of confidence in their digital capabilities. This session will reflect on how these attitudes can be framed by the ‘fortress of academia’ and how a UDL approach can help challenge this and contribute to research-informed teaching. Using case studies, it will also demonstrate that UDL is not always centred exclusively on the student, but on the communities of practice around the learner.
Research and Development Trend of Artificial Intelligence Technology Innovation Under the Internet Background

Artificial intelligence (AI) technology is a profound imitation of human brain thinking, and is a profound expansion and digital enhancement of human intelligence and intelligence on a computer technology platform. From a very strategic point of view, artificial intelligence technology has become a major development trend in the world. Across the country, artificial intelligence technology has become an important key technology for gaining international competitive advantages. Therefore, in the new era, the party and the state have issued national policies and strategies to strengthen the research of artificial intelligence technology, enhance the application of artificial intelligence technology, and promote the development of artificial intelligence technology. Therefore, understand the nature of artificial intelligence technology, enhance the application of artificial intelligence technology, and promote the development of artificial intelligence technology. Smart technology has become an important and practical goal. Although there is a lot of research on artificial intelligence, the times are developing very fast, and artificial intelligence technology is also changing every day. As a result, many investigations cannot keep up with the times. This article uses bibliographic research methods to summarize and summarize previous research literature. Then use a case to summarize the innovation and development of artificial intelligence. Good results have been obtained. The accuracy of the research and development trend of artificial intelligence technology innovation has been improved by 12% through this method.
Estimation of serum Adenosine Deaminase (ADA) level in sickle cell disease (SCD) and its association with reticulocyte count in a rural population of Chhattisgarh state

Prevalence of Sicklecell disease (SCD) is ranging from 1 to 40% and more in state like Chhattisgarh because of more share of Tribal population by this state in India.Genetic mutation at a sixth position of the β-globin chain (replacement of glutamic acid by valine) is the biochemical basis of this abnormality.Tissue specific increase of adenosine deaminase is related with lysis of RBC membrane in sickle cell disease.To know the pathology and biochemical basis of increase in serum adenosine deaminase in SCD is ardent.Prospective case-control study is conducted by taking thirty SCD cases [from Durg District of Chhattisgarh State] attending General Medicine OPD in our Medical College.Thirty age and sex matched healthy volunteers were selected as controls from same population.ADA estimation done by enzymatic-kinetic method.Complete hemogram done by Beckman Coulter and retiuculocyte count done by direct microscopic examination.Adenosine deaminase level in SCD was higher as compare to control group and difference is statistically highly significant i.e. p value 0.00 (<0.01).Comparing to controls, Reticulocyte count was significantly less in SCD i.e. p value 0.049 (<0.05).SCD cases were having significantly increased ADA level as compared to healthy volunteers.ADA was not any having correlation with reticulocyte count.Estimation of Adenosine Deaminase level can be helpful for knowing pathophysiology of complications occurring in sickle cell disease patients.
Integration of Remote Sensing and Geological Mapping for Economic Mineralization Mapping in Mwitika-Makongo Area, Kitui Country

This study integrates geology with remote sensing techniques to establish geological structures and their associated economic mineralization in the rocks of Mwitika-Makongo area. The objective of this study was to map hydrothermally altered zones from Landsat 8/OLI of the study area and validate the results with geological mapping. The remote sensing methods included; band combinations, band ratios and lineament extraction. Geological methods consisted of, field mapping and geochemical analysis. The integrated techniques resulted in lithological discrimination of hydrothermally altered zones. Geological field mapping and geochemical investigations led to the interpretation of some iron mineralization in hydrothermally altered zones, especially around Kalima Kathei. It also led to the conclusion that lineaments control drainage patterns in the area. Chemical analysis using X-Ray fluorescence, for mineralized samples followed by Pearson correction matrix of the chemical data gave a strong correlation between Fe2O3, TiO2 and P2O5 indicating that their mode of delivery in the area could be similar, with a likely source from hydrothermal fluids in the area. These results confirmed the findings from remote sensing studies on hydrothermal alteration. It was therefore concluded that integration of remote sensing techniques and geological field mapping provide a tool for delineating economic mineralization in Neoproterozoic rocks.
Safety Gear Check at Industries and Laboratories Using Convolutional Neural Network Based on Deep Learning

There are plethora of industries and laboratories around the world, they have a necessity to maintain their safety standards especially with respect to safety gear (safety wearable’s such as apron or high visibility jackets). Indeed, and this is a difficult task to monitor if the subject (person) is wearing appropriate safety apparatus or not in hazardous environments. A methodology is proposed herein to identify whether the subject is wearing appropriate safety gear or not. Using the dataset available, a neural network is trained to suit this need.
UNDERGRADUATES’ PERCEPTION AND ATTITUDE TOWARDS THE USE OF MOBILE TECHNOLOGY FOR BLENDED LEARNING IN UNIVERSITY OF ILORIN, NIGERIA

This study examined undergraduates’ perception and attitude towards utilization of mobile technologies for blended learning in University of Ilorin, Nigeria
Financial Sector Readiness to Support Economic Actives under COVID-19: The Case of African Continent

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Information Technology - A Veritable Tool For National Development

Purpose: Information Technology has become an indispensable tool in the achievement of remarkable feats - advances in health, agriculture, education, effective and efficient business solutions in the western world; whereas, in the African domain, only meager efforts has been made to exploit and leverage the merits of IT. The focus of this paper is to elucidate the concept of IT, its evolution, and challenges in the African setting; and ultimately a roadmap is proffered on how to leverage IT for National development.Methodology: To produce tangible inferences tailored at the solutions to the challenges mitigating the optimal utility of IT in the African setting, relevant data focused on IT, its evolution, challenges, advances, current state, and usage were gathered from literature most relevant to the subject matter via eBooks, articles, and first-hand observation. The modeled concept here constitutes a discuss on the meaning and applications of IT; the evolution of IT; a survey of national development constraints of African countries, threats and impediments to IT utility in the African domain; and ultimately a roadmap for IT in improving National development with better policies in Africa.Results: Based on the problem domain, the findings of this study imply that the drawbacks to the optimal utility of IT in the African setting are primarily socially induced, economic-related, driven by lagging policies, and less of technicalities or gadgetry. The proffered solutions focus on the adjustment of regulations, policies, and individual efforts that promote healthy IT practices to facilitate National development.Unique contribution to theory, policy and practice: This study brings to light the major drawbacks mitigating the leveraging of IT in National development in the African setting; it further demonstrates that a blend of an adjustment of policies and regulations, and healthy IT practices/habits by individual as novel approach play a key role in curbing the challenges in question and ultimately yield a significant improvement in the utility of IT in fostering National Development in the African setting.