Reviewerly/exHarmony huggingface dataset:
Implementation of Intrusion Detection Systems to Detect Phishing in the Banking Industry

Detection of E-commerce Attacks and Anomalies using Adaptive Neuro-Fuzzy Inference System and Firefly Optimization Algorithm
Achievement of student graduates: The role of e-readiness, e-learning and e-book

This study aims to determine the effect of e-readiness, e-learning, e-book on the achievement of graduate students; and the influence of e-readiness, e-learning, and e-books on the achievement of graduate students. The research population is graduate students with a sample of 210 doctoral students in Jakarta. The sample selection method is simple random sampling. The research method is a survey method with an associative approach. The data analysis technique is structural equation modeling (SEM) using SmartPLS 3.3.3 software and the data was obtained through the distribution of online questionnaires. The results show that there was an effect of e-readiness on graduate achievement; there was an effect of e-learning on graduate achievement; and finally, there was an effect of e-books on graduate achievement. This research can indicate that the curriculum developed by the students is in accordance with the learning outcomes, especially in the implementation of the learning process.
The Whiteness of Walden: Reading Thoreau with Attention to Black Lives

In “The Whiteness of Walden: Reading Thoreau with Attention to Black Lives,” Rebecca Kneale Gould asks that a stark truth be recognized: namely, that “citizens of the United States live daily with the plain fact that our nation was founded on stolen land and made ‘independent’ by the labor of stolen people.” She further asks whether we should continue reading Thoreau—and how, if we do so, while acknowledging his whiteness and privilege. Gould shares her classroom practice of asking her (primarily white and affluent) students to reflect on their inherent privilege in various natural settings, particularly as they read accounts by contemporary Black authors. By juxtaposing these more recent narratives against some of the more serene passages in Walden, Gould invites readers into the tensions between race, access, and natural landscapes in the United States. She also shares provocative analyses of well-known passages from Thoreau’s corpus that, she argues, must be read while paying heed to Thoreau’s own attention to racial injustice.
Survey on knowledge, attitude, and practice of Indian oral health-care professionals regarding QR codes in dental practice and academics

Objectives: QR codes form an integral part of modern-day digitalized information storage technology in almost all the fields. Their utility in oral health-care field also has a huge potential, most of which can be uncovered once the oral health-care professionals are aware about their uses and technique of generation. Materials and Methods: A self-constructed e-questionnaire was validated and circulated through online media to oral health-care professionals in India. Data were subjected to statistical analysis and descriptive statistics were obtained. Comparison of frequencies of categories of variables with groups was done using Chi-square test. Results: The study sample of n = 334 respondents comprised 222 females and 112 males. The age of respondents ranged from 22 to 65 years with a mean age of 28.96 years (S.D = ± 6.877). Majority of respondents were aware about the utility of QR codes in day-to-day aspects as well as dental clinical practice and academics. Although two-thirds of respondents perceived online data management as an easy task, generation of QR codes was considered as relatively more difficult requiring higher technical skills. Conclusion: QR codes can have a wide variety of applications in the field of dentistry such as in prosthodontics, orthodontics, oral pathology, radiology, and forensic odontology. Our findings suggest that most of the dental professionals have convenient access to the technology essential to generating QR code, and yet, about 70% of oral health-care professionals are unaware about their generation technique.
THE MODEL OF CONTROL LABOR MARKET CONDITIONS COMPANY AS A INTEGRABILITY IN QUADRATURES SYSTEM OF NONLINEAR DIFFERENCIAL EQUATIONS

We propose a mathematical model of the labor market situation of the enterprise, which is a General finite-dimensional case of a system of nonlinear differential equations. A technique is found to represent its exact analytical solution in the form of quadratures. The obtained results are applied to the study of a mathematical model suitable for describing and predicting the labor market conditions of an enterprise consisting of several structural units.
IMAGING THE PLIOCENE CHANNEL SYSTEM USING 3D SEISMIC ATTRIBUTES AT THE WEST EL QANTARA REGION, NILE DELTA BASIN, NORTHERN EGYPT

The main objective of the present study is to identify the Pliocene depositional channel and the gas behavior on seismic characteristics at the on-shore West El Qantara Region, in the eastern part of the Nile Delta Basin, using seismic reflection data and attributes analysis.The integrated use of seismic attributes (coherency, Amplitude Versus Offset "AVO" modeling and amplitude extraction) added information about the hydrocarbon seismic signature, facies and the minor geological structures.The 3D seismic interpretation results were correlated with the known regional structural-stratigraphic fashion of the onshore Nile Delta Basin and showed a satisfied matching, added more details about hydrocarbon signature.
Analisis Motivasi Belajar Siswa Kelas II Sekolah Dasar Negeri

This study aims to describe the learning motivation of students in class II SDN 016 Kopah Village. This type of research is descriptive qualitative research. The subjects of this study were second grade teachers and all second grade students at SDN 016 Kopah Village. Data collection techniques used are interviews, observation and documentation. The data analysis technique used the Milles and Huberman model with stages, data reduction, data presentation, and drawing conclusions. The results of the study indicate that the teacher always provides learning motivation to students during the learning process. given by the teacher, namely, 1) Praise Motivation, 2) rewards, 3) and the use of interesting activities during the learning process. Then, student motivation is divided into two, namely intrinsic motivation and extrinsic motivation. There are some students who are included in intrinsic motivation. Intrinsic motivation factors, namely, 1) the desire and desire to succeed, 2) the drive and need in learning, 3) the expectations and ideals, and 4) the appreciation in learning. The criteria for students who have extrinsic motivation are students who always need encouragement, praise and appreciation from the teacher. The conclusion of this study is, the learning motivation of second grade students of State Elementary Schools can be said to be good, seen from 13 students who have many intrinsic motivations in second grade students of SDN 016 Kopah Village.
Concentrated Gaze Base Interaction for Decision Making Using Human-Machine Interface

The movement and direction of an eye are linked to user gaze, and the monitoring of the eye gaze gathers this information in real time. The Eye Gaze tracker is an instrument that measures eye gaze movements and directions in pupil locations. Researchers have started studying methods for creating interactive interfaces between people and machines in recent years. These interfaces may be a valuable means of communication for disabled persons, enabling them to utilize eyeglasses for interactive control applications. Such trackers do not work for individuals with special needs because of the lack of precision needed in all settings, the obligatory calibration and excessive participation of users. This article offers a discreet and calibrating frame for an interactive directional control system that uses a vision camera in uncomplicated environments to track eyes for the home environment. A hybrid approach combines two approaches based on supervised and unattended methods. The unattended image gradients method calculates the pupil centre over eye areas extracted using the controlled regression-based algorithm. Experiments utilizing the suggested hybrid method to identify eye regions and pupil centre have produced encouraging results. A comparable method for the monitoring of the eye gaze works in real time using a vision camera. In addition, a PC-based interactive directional control interface based on pupil position has been constructed, which operate without any previous calibration, in contrast to existing infrared light-based eye trackers. The project may help people who are mute and people who are deaf who need interactive and discrete eye-gaze control apps to live autonomously.
Analyzing Factors Contributing to Research Performance using Backpropagation Neural Network and Support Vector Machine

In this study, the authors intend to analyze factors contributing to research performance using Backpropagation Neural Network and Support Vector Machine.The analyzing factors contributing to lecturer research performance start from defining the features.The next stage is to collect datasets based on defining features.Then transform the raw dataset into data ready to be processed.After the data is transformed, the next stage is the selection of features.Before the selection of features, the target feature is determined, namely research performance.The selection of features consists of Chi-Square selection (U), and Pearson correlation coefficient (CM).The selection of features produces eight factors contributing to lecturer research performance are Scientific Papers (U: 154.38,CM: 0.
Mining Common Syntactic Patterns used by Java Programmers

Open source code repositories provide massive data as programs that have been used to develop different tools. These kinds of works have been included in the active Big Code and Mining Software Repositories research fields. Although different machine learning works already classify the syntactic constructs used by programmers, there are no reports about the most common syntactic patterns used by Java programmers. In this article, we describe a system we build to provide such a report. Our system retrieves the syntactic patterns used by Java programmers, distinguishing those utilized by experts and beginners. We also present the anomalies found in the usage of different syntactic constructs. We modify the OpenJDK compiler to double the syntactic information included in its Abstract Syntax Tree (AST), define a mechanism to translate ASTs into n-dimensional vectors, combine the information of different syntax constructs to build heterogeneous patterns, and apply the Frequent Pattern Growth algorithm to mine the syntactic patterns as association rules. The mined patterns allow expressing hierarchical subpatterns connected to one another, providing a high level of expressiveness.
DEFENDER-ATTACKER MODELS FOR RESOURCE ALLOCATION IN INFORMATION SECURITY

Today, information security in defender-attacker game models is getting more attention from the research community. A game-theoretic approach applied in resource allocation study requires security in information for successive defensive strategy against attackers. For the defensive side players, allocating resources effectively and appropriately is essential to maintain the winning position against the attacking side. It can be possible by making the best response to the attack, i.e., by defining the most effective secure defensive strategy. This present work develops one defender – two attackers game model to determine the defensive strategy based on the Nash equilibrium and Stackelberg leadership equilibrium solutions of one defender-one attacker game model. Both game models are designed and studied in two scenarios: simultaneous and sequential modes. Game modes are defined according to the information that is available for attackers. In the first one, the defender is not aware of the attack and makes a simultaneous decision of how many resources should be allocated. Meanwhile, in the second mode, the defender knows about the entrance of attackers into a market and is assumed to commit a better strategy. The budget constraints are studied for both modes, all calculations and proof are presented in the work. According to obtained game mathematical models, it can be highlighted that network value of customers is important through the introduction of new variables in modeling and performing game theory equilibriums. This paper underlines the importance of information availability, budget limitations, and network value of customers in resource allocation through mathematical models and proofs; and focuses on modeling and studying defender-attacker games to define defensive strategy.
The Macroeconomic Impact of Social Unrest

This paper explores the macroeconomic impact of social unrest, using a novel index based on news reports. The findings are threefold. First, unrest has an adverse effect on economic activity, with GDP remaining on average 0.2 percentage points below the pre-shock baseline six quarters after a one-standard deviation increase in the unrest index. This is driven by sharp contractions in manufacturing and services (sectoral dimension), and consumption (demand dimension). Second, unrest lowers confidence and raises uncertainty; however, its adverse effect on GDP can be mitigated by strong institutions and by a country’s policy space. Third, an unrest “event”, which is captured by a large change in the unrest index, is associated with a 1 percentage point reduction in GDP six quarters after the event. Impacts differ by type of event: episodes motivated by socio-economic reasons result in sharper GDP contractions compared to those associated with politics/elections, and events triggered by a combination of both factors lead to sharpest contractions. Results are not driven by countries with adverse growth trajectories prior to unrest events or by fiscal consolidations, and are robust to instrumenting via regional unrest.
Artificial intelligence at the operational level of war

Artificial intelligence (AI) is an emerging technology with widespread applications. The National Defense Strategy highlights the importance of AI to military operations for the United States to retain an advantage against its near-peer competitors. To fully realise this advantage, it will be necessary to integrate AI not only at the tactical level but also at the operational level of war. AI can be integrated into the complex task of operational planning most efficiently by subdividing it into its component operational functions, which can be processed by narrow AI. This organisation reduces problems to a size that can be parsed by an AI and maintains human oversight over machine supported decision-making.
Didactic resources for teaching Ukrainian as a factor for forming information and communication competence in the 10th graders of the lyceum

In the article, the issue of the effective use of didactic resources in Ukrainian lessons in the aspect of formation of information and communication competence in the 10th graders of the lyceum is studied. The notion “information and communication competence” is construed as a key concept, and the peculiarities of the arrangement of the education process to form the aforementioned competence are described. Methodological benchmarks for the development of research skills in the 10th graders of the lyceum in the process of teaching morphology of the Ukrainian language through problem-based exercises and tasks aiming at enhancing literacy of the 10th graders and their research skills are ascertained; the status and the educational value of research-based exercises in the lyceum are substantiated. The peculiarities of acquisition of the theoretical material by senior pupils in the context of blended learning through online platforms, tools and instruments, which are deemed to be expedient for distance education, are reviewed.
Easy Learning of Reinforcement Learning with a Gamified Tool

The use of the AWS environment with DeepRacer provides an interesting educational learning platform, which allows to train and apply machine learning models in vehicles that compete in a virtual race. In this work we show the stages of creation and training of reinforcement learning models through this platform and validate its use through a qualitative evaluation. A user without prior knowledge in reinforcement learning obtains reasonable performance results on the competitions using the PPO and SAC algorithms. The tool allows to add entropy adjustments, besides the definition of an state-action space with associated reward functions. To this end, these preliminary qualitative results support and motivate the use of this tool that makes easy the learning of reinforcement learning being thus of great interest and importance to the Robotics community.
A study on the Improvement of the Industry-academic Adjunct Teacher System and the Satisfaction Improvement Plan of Military Specialized High Schools

The purpose of this study is to first, deduce the limitations of the industry-academic adjunct teacher system at military-specialized high schools.Second, analyze the satisfaction of industryacademic adjunct teachers and system improvement plans.Third, make suggestions for the establishment of the industry-academic adjunct teacher system.In order to achieve these purpose, a survey was conducted for students enrolled in specialized military high schools and military service personnel as well as by reviewing the literature related to industry-university adjunct teachers.As a result of the study, first, it was difficult to evaluate the qualifications of industrial-educational adjunct teachers, the principal's authority in recruiting and managing teachers was weak, the problem of equity with other industrial-academic adjunct teachers, and the problem of operating essential manpower as contract workers were revealed.Second, the satisfaction with professionalism, classes, and counseling of the industry-academic adjunct teachers was higher among the students enrolled in military specialized high schools, but the military serviceman demanded higher levels of competency enhancement and status security information of the industry-academic adjunct teachers.In addition, the military serviceman rated the correspondence between the information about military service obtained in high school and the current situation somewhat low.Based on these results, a plan to improve the industryacademic adjunct teacher system at military specialized high schools and a plan to improve the satisfaction of current students and military serviceman were proposed.
La Integración de tecnologías digitales en las prácticas de enseñanza de formación inicial docente

This article presents a research that examined the relationship between initial teacher training and the integration of digital technologies in the teaching practices of 4th year students of the Teacher Training Institute of Rocha. The research responds to a qualitative approach through a case study. The selected techniques were in-depth interview, observation, documentary review and survey. The main findings of this research identified the following factors associated with Initial Teacher Education: the theory-practice relationship, trust and the teacher as a teaching model, all factors common to the three cases studied and that have an impact on the integration of digital technologies. In one of the cases, the incidence of motivation is also identified, and in another, the realization of specific courses on digital technologies.
Investigating the Situational Awareness with Optical See-Through Augmented Reality in IoT-Based Environments

The Internet of Things (IoT) combines artificial intelligence and cloud computing technology for intelligent environments such as smart cities, smart campuses, and smart homes. IoT devices collect environmental events through built-in sensors. Such data is visualized using optical see-through augmented reality devices to help people enhance their situational awareness and improve safety, efficiency, and living quality. A system and interaction design are proposed for improving situational awareness with augmented reality. We reported the visual and audio data collection and rendering, as well as initial user evaluation.
English Chinese Cross Language Information Retrieval Method Based on Association Pattern Mining

To achieve more accurate English Chinese cross language information retrieval, an English Chinese cross language information retrieval method based on association pattern mining is designed. Problem analysis of English Chinese cross language information retrieval based on association pattern mining. The main idea of problem analysis or problem understanding is to deal with the problem, extract the type and keywords of the problem according to certain means and methods, and provide basic support for the retrieval part. Keyword translation mainly adopts the combination of dictionary and network resource mining. Query word expansion is mainly to expand the semantic information of the original query words so that the original query contains more semantic information to increase the recall rate of document retrieval. The method used is a web search slice extension. We built an English Chinese cross language information retrieval model to realize English Chinese cross language information retrieval. The performance of the design method is tested. The test results show that the test results of each index of the method are ideal, which proves that the English-Chinese cross language information retrieval performance of the design method is good and can be applied.
A Novel Approach to Onboarding Secure Cloud-Native Acquisitions into Enterprise Solutions

Large enterprises work upon countless strategies for creating value with acquisitions as they enter a transformational merger. Cloud-native applications, being loosely coupled and designed to deliver user requirements at the pace a business needs are the natural choice for enterprise acquisitions. Culture change management and process compliance are some key areas where acquisitions find it difficult to adapt to the enterprise standards. To make this journey smooth, it is important to have a guided journey methodology with simplified engagement between both parties. One of the key dimensions where such a collaboration-centric approach is required is in security. In this paper, we examine the current challenges in onboarding cloud-native acquisitions to bring their security compliance posture at par with the current enterprise standards. We explore areas such as secure software development lifecycle management, tools and processes followed and provide recommendations around improving the overall security stance of the acquired product.
Trusted Fog Computing for Privacy Smart Contract Blockchain

The fog platform is very suitable for time and location sensitive applications. Compared with cloud computing, fog computing faces new security and privacy challenges. This paper integrates blockchain nodes with fog nodes, and uses multi-party secure computing (MPC) in smart contracts to realize privacy-protected fog computing. MPC technology realizes encrypted input and output, so that participants can only get the output value of their own function. It is impossible to know the input and output of other people, and privacy calculation is realized. At the same time, the blockchain can perform network-wide verification and consensus on the results calculated by the MPC under the chain. Ensure the reliability of the calculation results. Due to the integration of blockchain and fog nodes, access control and encryption are guaranteed, integrity and isolation are provided, and privacy-sensitive data is controlled. As more complex topological structures emerge, the entire chain of fog nodes must be trusted. This ensures the network security of distributed data storage and network topology, users and fog service providers. Finally, trusted fog computing with privacy protection is realized.